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Corticosteroids as adjunctive therapy in the treatment of influenza

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Abstract

Background

Specific treatments for influenza are limited to neuraminidase inhibitors and adamantanes. Corticosteroids show evidence of benefit in sepsis and related conditions, most likely due to their anti‐inflammatory and immunomodulatory properties. Although commonly prescribed for severe influenza, there is uncertainty over their potential benefit or harm.

Objectives

To systematically assess the effectiveness and potential adverse effects of corticosteroids as adjunctive therapy in the treatment of influenza, taking into account differences in timing and doses of corticosteroids.

Search methods

We searched CENTRAL (2015, Issue 5), MEDLINE (1946 to June week 1, 2015), EMBASE (1974 to June 2015), CINAHL (1981 to June 2015), LILACS (1982 to June 2015), Web of Science (1985 to June 2015), abstracts from the last three years of major infectious disease and microbiology conferences, and references of included articles.

Selection criteria

We included randomised controlled trials (RCTs), quasi‐RCTs and observational studies that compared corticosteroid treatment with no corticosteroid treatment for influenza or influenza‐like illness. We did not restrict studies by language of publication, influenza subtypes, clinical setting or age of participants. We selected eligible studies in two stages: sequential examination of title and abstract, followed by full text.

Data collection and analysis

Two pairs of review authors independently extracted data and assessed risk of bias. We pooled estimates of effect using random‐effects meta‐analysis models, where appropriate. We assessed heterogeneity using the I2 statistic and assessed the quality of the evidence using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) framework.

Main results

We identified 19 eligible studies (3459 individuals), all observational; 13 studies (1917 individuals) were suitable for inclusion in the meta‐analysis of mortality. Of these, 12 studied patients infected with 2009 influenza A H1N1 virus (H1N1pdm09). Risk of bias was greatest in the 'comparability domain' of the Newcastle‐Ottawa scale, consistent with potential confounding by indication. Data specific to mortality were of very low quality. Reported doses of corticosteroids used were high and indications for their use were not well reported. On meta‐analysis, corticosteroid therapy was associated with increased mortality (odds ratio (OR) 3.06, 95% confidence interval (CI) 1.58 to 5.92). Pooled subgroup analysis of adjusted estimates of mortality from four studies found a similar association (OR 2.82, 95% CI 1.61 to 4.92). Three studies reported greater odds of hospital‐acquired infection related to corticosteroid therapy; all were unadjusted estimates and we graded the data as very low quality.

Authors' conclusions

We did not identify any completed RCTs of adjunctive corticosteroid therapy for treating influenza. The available evidence from observational studies is of very low quality with confounding by indication a major potential concern. Although we found that adjunctive corticosteroid therapy was associated with increased mortality, this result should be interpreted with caution. In the context of clinical trials of adjunctive corticosteroid therapy in sepsis and pneumonia that report improved outcomes, including decreased mortality, more high‐quality research is needed (both RCTs and observational studies). Currently, we do not have sufficient evidence in this review to determine the effectiveness of corticosteroids for patients with influenza.

PICOs

Population
Intervention
Comparison
Outcome

The PICO model is widely used and taught in evidence-based health care as a strategy for formulating questions and search strategies and for characterizing clinical studies or meta-analyses. PICO stands for four different potential components of a clinical question: Patient, Population or Problem; Intervention; Comparison; Outcome.

See more on using PICO in the Cochrane Handbook.

Steroids for the treatment of influenza

Review question

We reviewed the evidence regarding the effect of additional ('adjunctive') steroid treatment in individuals with influenza infection.

Background

The majority of individuals with influenza have a fever, headache and a cough and get better without any specific treatment. However, a small proportion of people develop a more severe form of influenza, requiring admission to an intensive care unit in hospital. These patients are often prescribed steroids as part of their treatment, although the evidence that steroids are beneficial in these circumstances is controversial.

Study characteristics

We searched for studies comparing additional steroid treatment with no additional steroid treatment in individuals with influenza. This evidence is current to June 2015. We identified a total of 19 studies with 3459 individuals; none of them were clinical trials. The majority of studies investigated adults admitted to hospital with pandemic influenza in 2009 and 2010.

Key results

We did not find any relevant clinical trials on this topic. The evidence available from existing observational studies was of very low quality. We found that patients with influenza who received additional steroid treatment might have had a greater risk of death compared to patients who did not receive steroid treatment. Hospital‐acquired infection was the main 'side effect' related to steroid treatment that was reported in the included studies; all studies reported a greater risk of hospital‐acquired infection in the group treated with steroids. However, it was not possible to be certain if patients with more severe influenza were selected to receive steroid treatment in the first place. Therefore, it is not possible to be certain whether additional steroid treatment in patients with influenza is truly harmful, or not. Clinical trials of additional steroids in the treatment of individuals with influenza are therefore warranted to clarify the situation. In the meantime, the use of steroids in influenza remains a clinical judgement call.

Authors' conclusions

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Implications for practice

The available evidence from observational studies is of low quality with confounding by indication a major potential concern. We do not have sufficient evidence in this review to determine the effectiveness of corticosteroids for patients with influenza. There is a need for more robust evidence on the role of corticosteroids in the management of influenza before a firm recommendation for clinical practice can be made.

Implications for research

The most important need is for high‐quality, blinded randomised controlled trials (RCTs), which will minimise the biases inherent in observational designs and thereby provide the necessary evidence base to inform future clinical practice. Future observational studies investigating corticosteroids for the treatment of influenza should state the precise rationale for the administration of corticosteroid therapy in study participants (such as treatment of complications of influenza, co‐morbid illness or use solely as adjunctive therapy). The regimens of corticosteroid therapy should be explicitly stated with regards to the dose, timing of initiation and duration of therapy, and differences in regimens need to be considered when interpreting the results of studies. Differences in the administration of co‐interventions between the corticosteroid treated and untreated groups, including antiviral drugs and antibiotics, also need to be accounted for. Outcome measures need to be adjusted for potential confounders including imbalances in baseline characteristics and disease severity at the very least. A meta‐analysis of individual patient level data from observational studies may be able to overcome some of the inconsistencies across study‐level data.

Summary of findings

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Summary of findings for the main comparison. Effect of corticosteroid therapy on influenza‐related outcomes

Effect of corticosteroid therapy on influenza‐related outcomes

Patient or population: individuals with influenza
Settings: in‐hospital
Intervention: corticosteroid therapy

Outcomes

Illustrative comparative risks* (95% CI)

Relative effect
(95% CI)

No of participants
(studies)

Quality of the evidence
(GRADE)

Assumed risk

Corresponding risk

Control

Corticosteroid therapy

Mortality

141 per 1000

334 per 1000
(206 to 493)

OR 3.06
(1.58 to 5.92)

1915
(13 studies)

⊕⊝⊝⊝
very lowa

Hospital‐acquired infection

See comment

See comment

Not estimable

619
(3 studies)

⊕⊝⊝⊝
very lowb

Critical illness (composite outcome including death and intensive care unit admission)

See comment

See comment

Not estimable

322
(2 studies)

⊕⊝⊝⊝
very lowc

Mechanical ventilation

See comment

See comment

Not estimable

377
(2 studies)

⊕⊝⊝⊝
very lowd

*The basis for the assumed risk (e.g. the median control group risk across studies) is provided in footnotes. The corresponding risk (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).
CI: confidence interval; OR: odds ratio

GRADE Working Group grades of evidence
High quality: Further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: Further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: Further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: We are very uncertain about the estimate.

aPooled analysis. We downgraded the quality of evidence from low (observational data) to very low due to high risk of indication bias (sicker adults with influenza were more likely to receive corticosteroids) and clinical/statistical heterogeneity (unadjusted estimates of odds ratio for mortality were presented in some studies and the definition of mortality varied across the studies). We upgraded the quality of evidence once as plausible confounding was likely to change the effect estimate.

bResults were not pooled. We downgraded the quality of evidence from low (observational data) to very low due to high risk of indication bias (sicker adults with influenza were more likely to receive corticosteroids) and clinical and statistical heterogeneity (unadjusted estimates of odds ratio for hospital‐acquired infection were presented in all studies, and the definitions for hospital‐acquired infection varied across the studies). We upgraded the quality of evidence once as plausible confounding was likely to change the effect estimate.

cResults were not pooled. We downgraded the quality of evidence from low (observational data) to very low due to high risk of indication bias (sicker adults with influenza were more likely to receive corticosteroids) and clinical and statistical heterogeneity (unadjusted estimates of odds ratio and risk ratio for critical illness were presented in all studies, and the definitions for critical illness varied across the studies). We upgraded the quality of evidence once as plausible confounding was likely to change the effect estimate.

dResults were not pooled. We downgraded the quality of evidence from low (observational data) to very low due to high risk of indication bias (sicker adults with influenza were more likely to receive corticosteroids) and clinical and statistical heterogeneity (unadjusted estimates of odds ratio for mechanical ventilation were presented in all studies). We upgraded the quality of evidence once as plausible confounding was likely to change the effect estimate.

Background

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Description of the condition

Influenza is a significant cause of morbidity and mortality worldwide and has a high financial burden. Seasonal influenza occurs annually during the winter months in temperate zones of both the Northern and Southern hemispheres and all year round in the tropics (Viboud 2006). Global estimates of seasonal influenza from the World Health Organization (WHO) report one billion cases, including three to five million cases of severe illness annually (WHO 2008). About 210,000 influenza‐related respiratory deaths occur globally per influenza season; 81% of these in persons aged 65 years and above (Simonsen 2013). The reported per capita total cost of a case of influenza illness in national studies ranges from USD 27 to USD 52 in European countries and USD 45 to USD 63 in the United States (Peasah 2013). Estimates of the influenza‐related hospitalisation rate in the United States range from 63 to 107 per 100,000 persons annually at a cost of USD 11,096 to USD 83,216 per admission; amongst adults, hospitalisation rates are highest in persons aged 65 years age and above (309/100,000) (Peasah 2013; Zhou 2012). The population‐based incidence estimate for influenza‐associated critical illness in the USA is 12 per 100,000 person‐years; this represents 1.3% of all critical illness hospitalisations or 3.4% of critical illness hospitalisations during the influenza season (Ortiz 2014a). Estimates from the United Kingdom indicate an influenza‐attributable annual GP consultation rate of 2156 per 100,000 population and a corresponding annual hospitalisation rate of 34 per 100,000 population (Cromer 2014).

Pandemic influenza occurs unpredictably and infrequently due to reassortment of the influenza virus or adaptive mutation of a virus that has crossed the species barrier (Taubenberger 2008). Although the case fatality ratio associated with the recent influenza A (H1N1) pandemic in 2009 and 2010 was lower in comparison to previous pandemics (0.03% versus 2.5% in 1918 and 1919) (Donaldson 2010), a modelling study of global mortality due to the recent pandemic estimated 201,200 respiratory deaths and 83,300 cardiovascular deaths, with 80% of the deaths in individuals younger than 65 years (Dawood 2012). This shift in mortality towards younger age groups was estimated to have led to between 334,000 and 1,973,000 'years of life lost' in the United States alone (Viboud 2010). Worldwide clinical data from the influenza A (H1N1) pandemic in 2009 revealed that more than one‐fifth of hospitalised individuals experienced severe disease requiring admission to an intensive care unit (Jain 2009; Muthuri 2013; Richard 2012). The onset of critical illness following hospital admission occurred rapidly (median one day) and was commonly due to acute respiratory distress syndrome with refractory hypoxaemia, septic shock and/or multisystem organ failure, often requiring prolonged ventilation (Jain 2009; Kumar 2009). Critical care delivery systems were overwhelmed, especially in low and middle‐income countries, affecting entire hospital services downstream (Ortiz 2013). The mortality associated with critical care admission due to severe influenza was high (14% to 22%) (Jain 2009; Richard 2012).

Current antiviral treatment options for influenza are limited to the neuraminidase inhibitors (NI) and adamantanes, although widespread adamantane use has been hampered by the global emergence of drug resistance (Deyde 2007). A Cochrane systematic review of randomised placebo‐controlled trials (RCTs) reported a reduced time to first alleviation of symptoms by 0.6 to 0.7 days in NI treated adults, but no differences were seen between the two groups with regard to hospitalisation rates or occurrence of influenza‐related adverse events (Jefferson 2014). In contrast, an individual patient level meta‐analysis of over 29,000 patients with 2009 influenza A H1N1 virus (H1N1pdm09) infection from 78 observational studies across the world found that NI treatment at any time, in comparison to no treatment, was associated with a 19% reduction in mortality risk; early treatment (within two days of symptom onset) was associated with a 52% reduction in mortality risk in comparison to late treatment (Muthuri 2013).

Description of the intervention

Endogenous corticosteroids are produced principally in the adrenal glands from cholesterol and are regulated by the hypothalamic‐pituitary‐adrenal (HPA) axis (Molenaar 2012); they possess several anti‐inflammatory, immunomodulatory and vascular properties including inhibition of pro‐inflammatory cytokines, reduction of leucocyte trafficking, stimulation of apoptosis of T‐lymphocytes, maintaining endothelial integrity and vascular permeability and regulation of vascular tone by inhibition of vasodilators (nitrous oxide) and increasing sensitivity to vasopressors (Coutinho 2011; Kaufmann 2007; Rhen 2005). These properties form the rationale for testing corticosteroids in sepsis and related conditions.

A systematic review of RCTs investigating sepsis and septic shock reported that low‐dose corticosteroid use increased 28‐day shock reversal and reduced intensive care unit length of stay and 28‐day mortality (Annane 2009). For the treatment of bacterial meningitis, corticosteroids appear to reduce hearing loss and neurological complications (Brouwer 2010), while in tuberculous meningitis, an improvement in survival was reported (Prasad 2008).

With regard to respiratory infections, a Cochrane systematic review of systemic corticosteroid use in all‐cause pneumonia found no overall mortality benefit, but a reduction in time to resolution of symptoms was seen; in a subgroup of individuals with severe pneumonia, a reduction in the need for mechanical ventilation and improved oxygenation was found (Chen 2011). A further meta‐analysis that included additional RCTs reported a survival benefit from corticosteroid therapy in the subgroup of severe pneumonia (Nie 2012). A RCT in 2015 found a lower risk of treatment failure with adjunctive corticosteroid therapy in hospitalised patients with severe community‐acquired pneumonia with a high inflammatory response (Torres 2015), while a RCT in hospitalised patients with community‐acquired pneumonia found adjunctive corticosteroids were associated with a reduction in the time to clinical stability (Blum 2015). The most recent meta‐analysis, including the latest studies, suggests an overall beneficial effect from adjunctive corticosteroids in the treatment of patients with community‐acquired pneumonia (Siemieniuk 2015). There is limited evidence that systemic corticosteroids as adjunctive therapy to antibiotics in people with acute sinusitis may offer modest benefits for short‐term symptom relief (Venekamp 2014). In children with croup, a review found that corticosteroid treatment was associated with a lower symptom score at six hours, re‐admission rate and length of stay (Russell 2011). In infants and young children with acute viral bronchiolitis, no benefits were seen in hospital admission rates, or length of stay in hospital following systemic or inhaled corticosteroid use (Fernandes 2013).

The role of corticosteroids for the treatment of influenza is highly controversial. While some case series have reported improved outcomes with corticosteroid treatment of severe influenza (Quispe‐Laime 2010), other cohort studies have suggested the opposite (Diaz 2012; Liem 2009). Despite the ongoing controversy, 9% of hospitalised individuals and up to 69% of critically ill individuals during the 2009 influenza A (H1N1) pandemic were prescribed corticosteroid therapy (Brun‐Buisson 2011; Diaz 2012; Kumar 2009; Muthuri 2013). The WHO consultation on human influenza A (H5N1) infection reported that 47% to 70% of patients received corticosteroids during the 2004 to 2005 outbreak in South East Asia (WHO 2005).

How the intervention might work

Viral replication and production of cytokines through activation of the host innate immune system are central to the pathogenesis of influenza infection (de Jong 2006). Elevated or excessive production of cytokines (hypercytokinaemia) correlates with symptoms and fever in acute influenza (Kaiser 2001). Comparisons between patients with mild and severe pandemic influenza have revealed significantly higher levels of cytokines (especially interleukin‐6) in the plasma of patients with severe disease (Yu 2011) and similar findings have been replicated in studies of severe seasonal influenza (Heltzer 2009). A combination of excessive pro‐inflammatory cytokine induced inhibition of the HPA axis, substrate (cholesterol) deficiency, structural damage to the adrenal gland due to infarction of haemorrhage and peripheral corticosteroid resistance could lead to absolute or relative corticosteroid insufficiency during critical illness (Jaattela 1991; Liu 2002; Marik 2009). The overall incidence of adrenal insufficiency in patients with critical illness is estimated to be around 20% and up to 60% in those with sepsis and septic shock (Marik 2009). Administration of corticosteroids during critical illness, including severe influenza, may attenuate this state of adrenal insufficiency and help maintain homeostasis.

Why it is important to do this review

Treatment options for influenza are limited. Corticosteroids may offer an additional therapeutic option and although they are frequently prescribed for severely ill individuals with influenza, there is controversy regarding the benefits and harms. A systematic review of the current evidence would a) highlight the quality of the available evidence and b) valuably inform current clinical practice and future research needs.

Objectives

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To systematically assess the effectiveness and potential adverse effects of corticosteroids as adjunctive therapy in the treatment of influenza, taking into account differences in timing and doses of corticosteroids.

Methods

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Criteria for considering studies for this review

Types of studies

Randomised controlled trials (RCTs), quasi‐experimental designs and observational cohort studies of individuals with influenza investigating corticosteroid treatment versus no corticosteroid therapy were considered for inclusion. We excluded studies with case‐control designs due to the inability to determine temporal effects of corticosteroids on the development of non‐mortality outcomes. We excluded studies with fewer than 10 participants.

Types of participants

Individuals with:

  1. clinically diagnosed influenza or influenza‐like illness (defined as fever, cough, symptoms of upper respiratory tract infection (coryza, sore throat) and constitutional symptoms (headache, myalgia) of acute onset); and/or

  2. microbiologically confirmed influenza through sampling of the respiratory tract (nasal swabs, throat swabs or bronchoalveolar lavage).

There were no restrictions on age, influenza subtypes or study setting.

Types of interventions

We considered studies investigating corticosteroid treatment versus no corticosteroid treatment for inclusion. There were no restrictions on the doses of corticosteroid nor the types of corticosteroid used. We considered corticosteroid administration by oral and intravenous routes.

Types of outcome measures

Primary outcomes

  1. For studies of hospitalised patients:

    1. number of deaths at 30 days following admission (30‐day mortality);

    2. rate of admission to intensive care units.

  2. For studies in the community setting:

    1. rate of hospitalisation;

    2. time to resolution of symptoms;

    3. 30‐day mortality.

When studies reported mortality as an outcome following adjustment for potential confounders such as disease severity and patient demographics among other variables, this is referred to as 'adjusted mortality'.

Secondary outcomes

  1. For studies of hospitalised patients:

    1. hospital re‐admission rate at 30 days post‐discharge;

    2. number and nature of adverse events secondary to corticosteroid use, such as incidence of gastrointestinal bleeding, hospital‐acquired infections and metabolic complications (e.g. hyperglycaemia, hypernatraemia);

    3. proportion of patients requiring mechanical ventilation;

    4. length of stay in hospital.

  2. For studies in the community setting:

    1. number and nature of adverse events secondary to corticosteroid use, such as incidence of gastrointestinal bleeding, hospital‐acquired infections and metabolic complications (e.g. hyperglycaemia, hypernatraemia).

Search methods for identification of studies

Electronic searches

We searched the following electronic databases: Cochrane Central Register of Controlled Trials (CENTRAL 2015, Issue 5), which contains the Cochrane Acute Respiratory Infections Group's Specialised Register, MEDLINE (1946 to June week 1, 2015), EMBASE (1980 to June 2015), CINAHL (1981 to June 2015), LILACS (1982 to June 2015) and Web of Science (1985 to June 2015).

The search strategy implemented in CENTRAL and MEDLINE is listed below. We used the Cochrane Highly Sensitive Search Strategy for identifying randomised trials for the initial search in the MEDLINE database (Lefebvre 2011). We then repeated the MEDLINE search, replacing the randomised trial filter with the Scottish Intercollegiate Guidelines Network (SIGN) filter to identify observational studies (SIGN 2011). We combined these two searches to give the search results for MEDLINE. We repeated this process to search EMBASE (Appendix 1), CINAHL (Appendix 2), LILACS (Appendix 3) and Web of Science (Appendix 4), adapting the filter as needed.

MEDLINE (Ovid)

1 Influenza, Human/
2 exp Influenzavirus A/
3 exp Influenzavirus B/
4 (influenza* or flu).tw.
5 (h1n1 or h5n1 or h3n2).tw.
6 or/1‐5
7 exp Adrenal Cortex Hormones/
8 corticosteroid*.tw,nm.
9 adrenal cortex hormon*.tw.
10 (adren* cortic* adj1 (hormone* or steroid*)).tw.
11 adrenocorticosteroid*.tw,nm.
12 adrenocorticoid*.tw,nm.
13 corticoid*.tw,nm.
14 glucocorticoid*.tw,nm.
15 hydroxycorticosteroid*.tw,nm.
16 exp Steroids/
17 steroid*.tw,nm.
18 (hydrocortisone* or prednisolone* or prednisone* or dexamethasone* or methylprednisolone*).tw,nm.
19 or/7‐18
20 6 and 19

There will be no date, publication or language restrictions.

Searching other resources

We searched the Controlled Trials Registry for ongoing clinical trials (www.controlled‐trials.com). We scrutinised the bibliographies of included studies and the last three years of three major infectious diseases conferences (Interscience Conference on Antimicrobial Agents and Chemotherapy (ICAAC), European Society of Clinical Microbiology and Infectious Diseases (ESCMID) and Asia Pacific Society of Infection Control (APSIC)) to identify potentially eligible studies. Following execution of the search strategy, we individually contacted four domain experts to ensure relevant studies had been identified (see Acknowledgements).

Data collection and analysis

Selection of studies

Two review authors (CR, WSL) independently reviewed all the citations retrieved using the search strategy described above. We selected studies in two stages: analysis of study titles and abstracts in the first stage, followed by analysis of the full text of the articles. A third review author (JVT) resolved disagreements at any of these stages through discussion.

Data extraction and management

Two review authors independently extracted data (CR extracted data from all eligible studies independently; JLB, JVT and WSL shared the data extraction of all included studies) using a standardised proforma that was previously piloted and specifically adapted for this review. We obtained the following data from studies:

  1. characteristics of study (design, setting, country, enrolment period, methodological details including 'risk of bias' criteria for RCTs and the Newcastle‐Ottawa Scale for non‐randomised trials and comparative observational studies);

  2. characteristics of participants (inclusion and exclusion criteria, demographics, co‐morbid illnesses, disease severity, numbers in each group);

  3. characteristics of intervention (type of steroid, route of administration, dose, timing of corticosteroid use (early versus late) and duration of treatment, co‐interventions administered);

  4. outcome measures.

Assessment of risk of bias in included studies

Two authors (CR, JLB) independently assessed the methodological quality of experimental studies using the Cochrane 'Risk of bias' tool in the following domains (Higgins 2011):

  1. adequacy of the method for generating the randomisation sequence;

  2. adequacy of the method for allocation concealment;

  3. blinding of participants, clinicians and outcome assessors with regards to the intervention given;

  4. incomplete outcome data (participants lost to follow‐up in each treatment group and reasons for losses reported);

  5. analysis of participants in the groups to which they were originally randomised (intention to treat (ITT) principle);

  6. selective outcome reporting (all primary outcomes listed in the study protocol that are relevant to this review reported);

  7. other potential sources of bias.

We used the validated 'star system' of the Newcastle‐Ottawa Scale to assess the risk of bias at the outcome level in observational studies in the following three domains (Newcastle‐Ottawa Scale 2014):

  1. selection of study groups;

  2. comparability of groups;

  3. ascertainment of outcome.

Measures of treatment effect

We extracted dichotomous outcome data from individual studies as tabulated data from which risk ratios (RR) or odds ratios (OR) and 95% confidence intervals (CI) were estimated. We extracted adjusted outcome measures as ORs or hazard ratios (HRs) with 95% confidence intervals (CIs) and presented these separately in pooled analyses. For normally distributed continuous data, we calculated mean difference or standardised mean difference with corresponding 95% CIs. We used medians and inter‐quartile ranges for continuous data that were not normally distributed.

Unit of analysis issues

We considered the individual participant to be the unit of analysis for RCTs. We analysed cluster‐RCTs allowing for that level of randomisation.

Dealing with missing data

We analysed data on an ITT basis. For dichotomous outcomes, we assessed the effect assuming participants with missing data had a poor outcome. We did not use any form of imputation for participants with missing continuous outcome data. We consulted the CONSORT‐type flow chart of participants through the study if available (Schulz 2010). If a flow chart was not available, we looked for information in the text of the results to determine whether all participants included in the study had been analysed. In case of ambiguity, we contacted the trial authors to seek further information.

In the case of missing data relating to results, for example, measures of dispersion, we contacted the trial authors of the study to request further information.

Assessment of heterogeneity

We used the I2 statistic to assess heterogeneity across experimental and observational studies. We considered a value greater than 50% to reflect substantial heterogeneity between the findings of RCTs (as described in the Cochrane Handbook for Systematic Reviews of Interventions (Higgins 2011)). However, for observational studies, due to the inherent biases within their design, we considered a value greater than 75% to reflect substantial heterogeneity.

Assessment of reporting biases

We assessed funnel plots for publication bias (small study bias).

Data synthesis

One review author (CR) entered data into Review Manager (RevMan 2014), and two review authors (CR, JLB) independently summarised the data. In the case of experimental studies, where the interventions and populations were similar, we used a random‐effects meta‐analysis to pool data due to the potential for inherent biases in the studies. We elected only to use the random‐effects model to pool data due to the likely differences in the effectiveness of corticosteroids by patient characteristics. We did not use a fixed‐effect model to analyse the data because a) there was a clear rationale for choosing the random‐effects model, and b) there was no concern about the influence of small study effects.

For observational studies, we extracted tabulated data, crude estimates and adjusted estimates of effect from the studies. We extracted adjusted outcome measures as ORs or HRs with 95% CIs and presented separately in pooled analyses. We used a similar meta‐analysis method to pool data from observational studies as described for the RCTs. Where data were available, we presented subgroup analyses of adjusted or unadjusted estimates separately (if both types of data were available, we used adjusted estimates of effect in preference to minimise potential confounding between the treatment groups).

GRADE and 'Summary of findings' table

We created a 'Summary of findings' table for the outcomes of mortality, adverse events, rates of mechanical ventilation and critical disease (composite outcome including death and intensive care unit admission). We used the five GRADE considerations (study limitations, consistency of effect, imprecision, indirectness and publication bias) to assess the quality of a body of evidence as it relates to the studies that contribute data to the meta‐analyses for the prespecified outcomes (Atkins 2004). We used the methods and recommendations described in Section 8.5 and Chapter 12 of the Cochrane Handbook for Systematic Reviews of Interventions (Higgins 2011), and we used GRADEpro GDT software (GRADEpro GDT 2015). We justified all decisions to downgrade or upgrade the quality of studies using footnotes, and we made comments to aid the reader's understanding of the review where necessary.

Subgroup analysis and investigation of heterogeneity

We performed subgroup analyses in the following areas if possible:

  1. daily corticosteroid dose (low versus high; in adults low‐dose is defined as hydrocortisone ≤ 300 mg, dexamethasone ≤ 12 mg, prednisolone ≤ 75 mg, methylprednisolone ≤ 60 mg) (Annane 2004);

  2. timing of corticosteroid use (early versus late; early defined as < four days of onset of symptoms and late ≥ four days) (Annane 2002; Jain 2009; Nguyen‐Van‐Tam 2010);

  3. duration of corticosteroid course (short versus long course, short course defined as < five days and long course ≥ five days) (Annane 2004);

  4. adult versus child population (adult defined as ≥ 16 years);

  5. route of administration (intravenous, oral);

  6. seasonal influenza versus pandemic/outbreak influenza.

Sensitivity analysis

We performed sensitivity analyses to assess the effect of study design on the primary and secondary outcomes using stratification if a sufficient number of studies were present.

Results

Description of studies

Results of the search

The search strategy identified 3416 articles, of which we assessed 2812 articles in first stage of the selection process after removal of duplicate articles (Figure 1). We scrutinised the full text of 95 potentially eligible articles, yielding 19 articles for inclusion in the systematic review. The main reason for exclusion of 76 articles was the lack of data comparing corticosteroid use versus no corticosteroid use; 10 of these studies that came closest to being included in the review and their respective reasons for exclusion have been summarised in the Characteristics of excluded studies table. Of articles included in the systematic review, 13 were included in the meta‐analysis of mortality (Balaganesakumar 2013; Brun‐Buisson 2011; Chawla 2013; Diaz 2012; Kim 2011; Li 2012; Liem 2009; Linko 2011; Mady 2012; Patel 2013; Sertogullarindan 2011; Viasus 2011; Xi 2010). We included the remaining six articles in the narrative synthesis only, as three studies investigated corticosteroid therapy prior to the diagnosis of influenza (Boudreault 2011; Delgado‐Rodriguez 2012; Wu 2012). Three reported outcomes other than mortality according to corticosteroid use (Han 2011; Jain 2009; Kudo 2012).


Study flow diagram.

Study flow diagram.

Included studies

The study design, participant, intervention and outcome characteristics of the included studies are summarised in Table 1. All were observational designs. Outcome data according to corticosteroid use were reported for a total of 3459 individuals. All studies were conducted, at least in part, within a hospital setting: seven studies consisted only of individuals admitted to the intensive care unit (ICU) (n = 1140); 10 studies investigated admissions to both ICUs and hospital wards (n = 1970); one study included individuals from non‐ICU wards only (n = 143); and one study investigated both out‐patients and in‐patients (n = 206). The viral aetiology of individuals included in the studies was as follows: 13 studies of 2009 influenza A H1N1 virus (H1N1pdm09) (n = 3072); two studies of seasonal influenza (n = 349); and one study of influenza A (H5N1) (n = 38).

Open in table viewer
Table 1. Summary of included studies ‐ studies included in meta‐analysis

Study/year (country)

Design

Setting/inclusion criteria

CS given (n)

CS not given (n)

Demographics

Disease severity scores

Corticosteroid therapy dose/timing/duration

Outcomes reported

Influenza 2009 influenza A H1N1 virus (H1N1pdm09)

Balaganesakumar 2013 (India ‐ Tamil Nadu)

Multicentre, prospective cohort study

In‐hospital/admissions with influenza

70

210

Median age (years): 26 (1 to 82)

Not reported

Not reported

Mortality

Brun‐Buisson 2011 (France)

Multicentre, retrospective analysis of prospectively collected data

ICU/severe respiratory failure (ARDS or MV)

83 (early CS 50 and late CS 33)

125

Median age (years): no CS 45 (35 to 55); CS 49 (34 to 56)

Immunosuppression: no CS 18.4%; CS 21.7%

Median SAPSIII cohort 52.0 (44.0 to 64.0); no CS 53.0 (46.0 to 66.0); CS group 51.0 (44.0 to 61.0); P value = 0.25

Median daily dose: 270 (200 to 400) mg of hydrocortisone equivalent

Timing: within median 1 day (0 to 6) of MV

Duration: median 11 days (6 to 20)

Hospital mortality, length of ICU stay, adverse events

Chawla 2013 (India ‐ New Delhi)

Single‐centre, retrospective cohort study

ICU/admissions with influenza

38

39

Mean age (years): 40.9 (± 13.4)

Not reported

Duration of therapy: mean (days) 10.6 (± 7.8)

Mortality

Diaz 2012 (Spain)

Multicentre, retrospective analysis of prospectively collected data

ICU/ILI; respiratory failure requiring ICU admission

136

236

Mean age (years): no CS 43.6 (± 13.6); CS 43.1 (12.9)

Asthma: no CS 18%; CS 21%

COPD: no CS 27%; CS 18%

Mean (SD) APACHEII:

no CS group 12.5 (± 6.7); CS group 13.2 (± 6.3) (P value = 0.318)

Not reported

ICU mortality, MV, LOS

Kim 2011 (South Korea)

Multicentre, retrospective cohort/case‐control

ICU/age ≥ 15 years; presence of critical illness

107

138

Mean age (years): no CS 54.1 (± 19.3); CS 56.9 (± 17.2)

Asthma: CS 9%; no CS 7%

COPD: CS 13%; no CS 4%

Mean (SD) APACHE II: no CS group 17.5 (± 8.5); CS group 21.2 (± 7.7); P value = 0.001

Dose: median pred equivalent 75 (50 to 81) mg/day

Duration: median days 6 (3 to 14)

Mortality (14‐day, 30‐day and 90‐day), LOS, acquired infections

Li 2012 (China ‐ Anhui province)

Multicentre, retrospective cohort study

In‐hospital/pregnant, severe disease

27

19

Median age (years): adults who died 21 (18 to 31) and survivors 21 (18 to 27)

Not reported

Not reported

Mortality

Linko 2011 (Finland)

Multicentre, prospective cohort study

ICU/admissions with influenza

72

60

Median age (years): no CS 44 (25 to 57); CS 51 (40 to 56)

COPD: no CS 5%; CS 8%

Other obstructive pulmonary disease: no CS 23%; CS 21%

Median SAPSII: no CS 22 (15 to 30); CS 31 (24 to 36); P value = 0.001

Methylpred and/or hydrocortisone

Dose: mean (SD) of highest methylpred dose 94 (± 43) mg and hydrocortisone 214 (± 66) mg

Timing: median (IQR) days after symptom onset 5.0 (2.8 to 8.3)

In‐hospital mortality, MV, LOS

Mady 2012 (Saudi Arabia)

Single‐centre, retrospective cohort study

ICU/influenza with respiratory failure

43

43

Cohort mean age (years): 40.8

Asthma or COPD: 38.3%

Mean APACHEIV: 110.5 versus 100.6 (P value > 0.05), not specified for which treatment group

Methylpred

Dose: 1 mg/kg per day for 7 days

Mortality

Patel 2013 (India ‐ Gujarat)

Single‐centre, retrospective cohort study

In‐hospital/admissions with influenza

39

24

Cohort median age (years): 34 (3 to 69)

Not reported

Dose: methylprednisolone 40 mg 3 times a day, twice a day and once a day, for week 1, 2 and 3 respectively

Mortality

Sertogullarindan 2011 (Turkey)

Single‐centre, prospective cohort study

ICU/severe community‐acquired pneumonia and influenza

11

9

Cohort median age (years): 36 (15 to 72)

COPD: 10%

Not reported

Not reported

Mortality

Viasus 2011 (Spain)

Multicentre, prospective cohort study

In‐hospital/ non‐immunosuppressed, admitted > 24 hours

37

129

Median age (years): no CS 35 (28 to 47); CS 44 (36 to 53)

Chronic pulmonary disease: no CS 17.1%; CS 45.9%

Number in high‐risk PSI classes: CS 8 (21.6);

no CS 8 (6.4); P value < 0.05

Duration: median days 9 (5 to 13.5)

Severe disease

(composite outcome of ICU admission/death), acquired infection

Xi 2010 (China ‐ Beijing)

Multicentre, retrospective cohort study

In‐hospital/age ≥ 18 years

52

103

Cohort mean age (years): 43 (± 18.6)

COPD: 6.5%

Not reported

Dose: daily median dose equivalent to methylpred 80 mg (IQR 80 to 160 mg)

In‐hospital mortality

Subgroup analysis of mortality by CS dose

Avian influenza A(H5N1)

Liem 2009 (Vietnam)

Multicentre, retrospective cohort

In‐hospital/hospitalised patients with influenza

29

38

Cohort median age (years): 25 (16 to 42)

Not reported

Dose: methylpred 1 to 3 mg/kg/day for 7 days

In‐hospital mortality

Studies not included in meta‐analysis

Influenza 2009 influenza A H1N1 virus (H1N1pdm09)

Delgado‐Rodriguez 2012 (Spain)

Multicentre, prospective cohort

In‐hospital/ILI, RTI, septic shock, multi‐organ failure

31

782

Cohort median age (years): 41 (19 to 55)

Not reported

Corticosteroid use 90 days prior to admission

Poor outcome (ICU admission and in‐hospital death), LOS

Han 2011 (China ‐ Shenyang City)

Multicentre, retrospective cohort

In‐hospital/age > 3 years

46 (early CS 17 and late CS 29)

37

Median age (years): no CS 38 (5 to 75); CS 43 (3 to 70)

Median PMEWS: no CS group 2 (0 to 5); CS group 2 (0 to 5)

Methylpred and dexamethasone

Critical illness

Jain 2009 (USA)

Multicentre, retrospective cohort

In‐hospital/ILI with hospital admission ≥ 24 hours

86

153

Cohort median age: 21 years (21 days to 86 years)

Asthma: 28%; COPD: 8% Immunosuppression: 15%

Not reported

Not reported

Death/ICU admission versus survival/no ICU admission

Kudo 2012 (Japan)

Single‐centre, retrospective cohort

In‐hospital/hospitalised patients with respiratory disorders

46

12

Cohort median age (years): 8 (0 to 71)

Asthma: 29.2%

Not reported

Dose: methylpred 1 to 1.5 mg/kg, 2 to 4 times/day

Duration: median 5.1 days

Timing: median 2.1 days following symptom onset

LOS

Interpandemic (seasonal) influenza

Boudreault 2011 (USA)

Single‐centre, retrospective cohort

Non‐ICU/HSCT recipients with RTI

80

(low‐dose 43 and high‐dose 37)

63

Median age (years): no CS 42 (32 to 51); low‐dose CS 42 (28 to 53); high‐dose CS 40 (32 to 54)

Not reported

Highest dose in 2/52 preceding influenza Low‐dose (pred/methylpred < 1 mg/kg/day); high‐dose (pred/methylpred >= 1 mg/kg/day)

MV, time to death, PVS

Wu 2012 (Taiwan)

Single‐centre, prospective cohort

Mixed cohort of out‐patients and in‐patients

17

189

Age >= 65 years in cohort: 12.6%

Chronic lung disease: 9.7%

Malignancy: 8.7%

Not reported

Dose/duration: not reported

Unclear if CS commenced prior to or following diagnosis

Complicated influenza (requiring hospitalisation)

APACHE: Acute Physiology and Chronic Health Evaluation
ARDS: adult respiratory distress syndrome
COPD: chronic obstructive pulmonary disease
CS: corticosteroid therapy
HSCT: haematopoietic stem cell transplant
ICU: intensive care unit
ILI: influenza‐like illness
IQR: inter‐quartile range
LDH: lactate dehydrogenase
LOS: length of stay
methylpred: methylprednisolone
MV: mechanical ventilation
PMEWS: Pandemic Modified Early Warning Score
pred: prednisolone
PSI: Pneumonia Severity Index
PVS: persistent viral shedding
RTI: respiratory tract infection
SAPS: Simplified Acute Physiology Score
SD: standard deviation
SOFA: Sequential Organ Failure Assessment

The median age of the cohort or corticosteroid treatment groups was reported in 13 studies (varying from 8 to 51 years). Of seven studies reporting disease severity according to corticosteroid treatment, adults receiving corticosteroid therapy had higher disease severity scores in comparison to their respective comparator groups in three studies (n = 543) (Kim 2011; Linko 2011; Viasus 2011), while the remaining four studies reported no difference in disease severity scores between the two groups (n = 749) (Table 1) (Brun‐Buisson 2011; Diaz 2012; Han 2011; Mady 2012).

In all studies, comparisons were made between patients treated with or without corticosteroids in addition to supportive treatment, including antiviral agents. Eight studies reported the doses or regimens of corticosteroid administered; in four studies, the mean/median dose of corticosteroid therapy varied between 67.5 mg to 117.5 mg of prednisolone equivalent per day (Brun‐Buisson 2011; Kim 2011; Linko 2011; Xi 2010), and four studies reported daily regimens of methylprednisolone 1 mg to 6 mg per kg (equivalent to 1.25 mg to 7.5 mg prednisolone per kg) (Table 1) (Kudo 2012; Liem 2009; Mady 2012; Patel 2013). The median duration of corticosteroid therapy was reported in four studies and varied from 5.1 to 11.0 days.

Risk of bias in included studies

As all identified studies were observational, we used the Newcastle‐Ottawa Scale to assess risk of bias throughout this review. The risk of bias for 27 reported outcomes from 19 studies included in this review is summarised in Table 2. We awarded a maximum score of four stars for the 'selection' domain to the following studies and their respective outcomes: Jain 2009 (ICU admission/death versus survival/no ICU admission); Kim 2011 (mortality, mechanical ventilation, length of stay and hospital‐acquired infection); Kudo 2012 (length of stay); Liem 2009 (in‐hospital mortality); Linko 2011 (in‐hospital mortality, length of stay, mechanical ventilation); Viasus 2011 (in‐hospital mortality, hospital‐acquired infection) and Wu 2012 (influenza requiring hospitalisation). We gave the lowest score of two stars for the 'selection' domain to the following studies: Balaganesakumar 2013 (mortality); Boudreault 2011 (time to death); Li 2012 (mortality) and Patel 2013 (mortality).

Open in table viewer
Table 2. Risk of bias in observational studies using the Newcastle‐Ottawa Scale

Study

Outcome

Selection domain

(maximum 4 stars)

Comparability domain

(maximum 2 stars)

Outcome domain

(maximum 3 stars)

Balaganesakumar 2013

Mortality

2

1

2

Boudreault 2011 †

Time to death

2

1

2

Brun‐Buisson 2011

In‐hospital mortality

3

2

3

Brun‐Buisson 2011

Length of ICU stay

3

0

3

Brun‐Buisson 2011

ICU‐acquired infection

3

0

3

Chawla 2013

Mortality

3

0

3

Delgado‐Rodriguez 2012 †

Composite outcome of ICU admission and mortality

3

2

3

Diaz 2012

ICU mortality

3

2

2

Han 2011 †

Critical illness

3

2

3

Jain 2009 †

ICU admission death versus survival/no ICU admission

4

0

3

Kim 2011

Mortality

4

2

3

Kim 2011

MV

4

0

3

Kim 2011

LOS

4

0

3

Kim 2011

Hospital‐acquired infection

4

0

3

Kudo 2012 †

LOS

4

0

2

Li 2012

Mortality

2

0

3

Liem 2009

In‐hospital mortality

4

1

3

Linko 2011

In‐hospital mortality

4

2

3

Linko 2011

MV

4

0

3

Linko 2011

LOS

4

0

3

Mady 2012

Mortality

3

0

3

Patel 2013

Mortality

2

0

3

Sertogullarindan

2011

Mortality

3

0

3

Viasus 2011

In‐hospital mortality

4

0

3

Viasus 2011

Hospital‐acquired infection

4

0

3

Wu 2012 †

Influenza requiring hospitalisation

4

1

3

Xi 2010

In‐hospital mortality

3

1

3

ICU: intensive care unit
LOS: length of stay
MV: mechanical ventilation

† studies not included in meta‐analysis (three studies investigating CS therapy before influenza diagnosis (Boudreault 2011; Delgado‐Rodriguez 2012; Wu 2012); three studies with no mortality data according to CS use (Han 2011; Jain 2009; Kudo 2012).

The 'comparability' domain performed the poorest across all the studies in the risk of bias assessment. We awarded a maximum of two stars to the following studies and their respective outcomes: Brun‐Buisson 2011 (in‐hospital mortality); Delgado‐Rodriguez 2012 (composite outcome of ICU admission and mortality); Diaz 2012 (ICU mortality); Han 2011 (critical illness); Kim 2011 (mortality) and Linko 2011 (in‐hospital mortality). The majority of the remainder of the studies failed to score any stars for this domain.

The 'outcome' domain performed the best across all studies, with 15 of the 19 studies achieving a maximum score of three stars across all assessed outcomes; the remainder of the four studies achieved two stars: Balaganesakumar 2013 (mortality); Boudreault 2011 (time to death); Diaz 2012 (ICU mortality); and Kudo 2012 (length of stay).

Effects of interventions

See: Summary of findings for the main comparison Effect of corticosteroid therapy on influenza‐related outcomes

The 15 studies of 2009 influenza A H1N1 virus (H1N1pdm09) reported no difference in or greater adverse outcomes associated with corticosteroid use. The single study of influenza A/H5N1 found that corticosteroid therapy was associated with increased mortality following adjustment for neutropenia as a marker of disease severity (Liem 2009). Two studies of individuals with seasonal influenza failed to find any benefits associated with corticosteroid therapy (Boudreault 2011; Wu 2012). The inclusion criteria in these studies included any influenza‐related hospital admission or intensive care unit (ICU) admission, severe respiratory failure (adult respiratory distress syndrome (ARDS) or requiring mechanical ventilation), septic shock, multi‐organ failure or 'critical illness'. However, it was not clear why some patients within these cohorts received systemic corticosteroid therapy while others did not. In particular, whether corticosteroid therapy was initiated primarily for treatment of unstable co‐morbid illnesses (including asthma and chronic obstructive pulmonary disease (COPD)) was not apparent.

Primary outcomes

Studies of hospitalised patients
1. Number of deaths at 30 days following admission (30‐day mortality)

Due to heterogeneity in studies reporting timing of mortality from hospital admission, stratification by 30‐day mortality was not possible as stated in the protocol (Table 3). We graded the quality of the evidence specific to mortality as very low (summary of findings Table for the main comparison) (GRADE 2011). Meta‐analysis of 13 studies (n = 1917 patients) revealed a significant increase in the odds of mortality with corticosteroid use, with substantial statistical heterogeneity (odds ratio (OR) 3.06, 95% confidence interval (CI) 1.58 to 5.92; I2 statistic = 80%) (Analysis 1.1; Figure 2). Subgroup analysis of unadjusted and adjusted estimates of mortality showed a similar association with corticosteroid therapy (OR 2.99, 95% CI 1.18 to 7.57; I2 statistic = 86% (Analysis 1.1.1.) and OR 2.82, 95% CI 1.61 to 4.92 (Analysis 1.1.2); I2 statistic = 0%, respectively). The test for subgroup differences between adjusted and unadjusted mortality was not statistically significant (P value = 0.92). There was no clear indication of publication bias on funnel plot analysis (Figure 3).


Meta‐analysis of studies reporting mortality

Meta‐analysis of studies reporting mortality


Funnel plot of studies reporting mortality

Funnel plot of studies reporting mortality

Open in table viewer
Table 3. Summary of studies reporting mortality

Study

Outcome reported

Mortality in CS treatment group

Mortality in group not treated with CS

Reported unadjusted risk of mortality

Reported adjusted risk of mortality

Variables included in model for adjusted estimates

Balaganesakumar 2013

Mortality

50/70 (71.4)

20/210 (9.5)

OR 23.8 (95% CI 11.3 to 50.8)

Not reported

Brun‐Buisson 2011

In‐hospital mortality

28/83 (33.8)

21/125 (16.8)

HR 2.39 (95% CI 1.32 to 4.31)

aHR 2.59 (95% CI 1.42 to 4.73)

Immunosuppression, disease severity (SAPS3), vasopressor use

Chawla 2013

Mortality

9/38 (23.7)

1/39 (2.6)

OR 11.8 (95% CI 1.4 to 98.4)

Not reported

Diaz 2012

ICU mortality

25/136 (18.4)

41/236 (17.4)

HR 0.91 (95% CI 0.55 to 1.48)

aHR 1.06 (95% CI 0.63 to 1.80)

Disease severity (APACHEII), co‐morbid illnesses

Kim 2011

90‐day mortality (also unadjusted estimates provided for 14‐day and 30‐day)

62/107 (57.9)

37/138 (26.8)

OR 3.76 (95% CI 2.19 to 6.44)

aOR 2.20 (95% CI 1.03 to 4.71)

Age, disease severity (SOFA), MV, lymphocyte count, propensity score)

Li 2012

Mortality

6/27 (22.2)

1/19 (5.2)

OR 5.14 (95% CI 0.56 to 46.82)

Not reported

N/A

Liem 2009

In‐hospital mortality

17/29 (58.6)

9/36 (25.0)

OR 4.25 (95% CI 1.48 to 12.22)

aOR 4.11 (95% CI 1.14 to 14.83)

Neutropenia as surrogate for severity

Linko 2011

In‐hospital mortality

8/72 (11.1)

2/60 (3.3)

OR 3.63 (95% CI 0.74 to 17.77)

aOR 3.3 (95% CI 0.5 to 23.4)

Disease severity (SAPS2)

Mady 2012

In‐hospital mortality

20/43(46.5)

10/43 (23.2)

OR of 2.87 (95% CI 1.14 to 7.25)

Not reported

N/A

Patel 2013

Mortality

11/39 (28.2)

3/24 (12.5)

OR 2.75 (95% CI 0.68 to 11.1)

Not reported

Sertogullarindan

2011

Mortality

3/11 (27.3)

6/9 (66.7)

OR 0.19 (95% CI 0.03 to 1.28)

Not reported

N/A

Viasus 2011

Mortality (primary outcome was 'severe disease' = ICU admission/death)

3/37 (8.1)

4/129 (3.1)

OR 2.76 (95% CI 0.59 to 12.92)

Not reported

N/A

Xi 2010

In‐hospital mortality

17/52 (32.7)

10/103 (9.7)

OR 4.52 (95% CI 1.89 to 10.81)

aOR 3.67 (95% CI 0.99 to 13.64)

Ethnicity, co‐morbid illness, symptoms at onset, laboratory tests

aHR: adjusted HR
aOR: adjusted OR
APACHE: Acute Physiology and Chronic Health Evaluation ventilation
CI: confidence interval
CS: corticosteroid
HR: hazard ratio
ICU: intensive care unit
MV: mechanical
OR: odds ratio
RR: risk ratio
SAPS: Simplified Acute Physiology Score

Two studies reported adjusted hazard ratios (HRs) for mortality associated with corticosteroid therapy; the first reported harm (HR 2.59, 95% CI 1.42 to 4.73) (Brun‐Buisson 2011), while the second study found no association (HR 1.06, 95% CI 0.63 to 1.80) (Diaz 2012).

2. Rate of admission to intensive care units

Studies reporting outcomes other than mortality are summarised in Table 4. Of the studies that were not conducted entirely in an ICU setting (n = 12), two studies reported composite outcomes including ICU admission ('critical disease'), which were stratified according to corticosteroid therapy (Han 2011; Jain 2009). We graded the quality of the evidence specific to 'critical disease' as very low (summary of findings Table for the main comparison). A retrospective cohort study in the USA of individuals hospitalised with 2009 influenza A H1N1 virus (H1N1pdm09) infection reported a greater risk of critical care admission/death (unadjusted OR 2.37, 95% CI 1.29 to 4.37) associated with corticosteroid therapy (Jain 2009). In the other retrospective cohort study from China, the risk of critical disease (defined as death, respiratory failure, septic shock, failure or insufficiency of ≥ two non‐pulmonary organs, mechanical ventilation or ICU admission) adjusted for co‐morbid illness, obesity and pregnancy, was greater in the group treated with corticosteroid therapy (adjusted risk ratio (RR) 2.4, 95% CI 1.3 to 4.4) (Han 2011).

Open in table viewer
Table 4. Summary of studies reporting relevant outcomes other than mortality

Outcome

Study

Group treated with corticosteroids

Group not treated with corticosteroids

Unadjusted estimate of effect

Critical disease

Han 2011

Early CS

12/17 (70.6)

Late or no CS

26/66 (39.4)

RR 1.8, 95% CI 1.2 to 2.8†

Composite outcome of ICU admission/death

Jain 2009

29/86 (33.7)

27/153 (17.6)

OR 2.37, 95% CI 1.29 to 4.37

Rate of MV

Kim 2011

91/107 (85.0)

71/138 (51.4)

OR 5.37, 95% CI 2.87 to 10.05

Rate of MV

Linko 2011

53/72 (73.6)

14/60 (23.3)

OR 9.17, 95% CI 4.14 to 20.30

Length of ICU stay: median days (IQR)

Brun‐Buisson 2011

22 (13 to 39)

17 (11 to 30)

P value = 0.11

LOS: mean days (SD)

Kim 2011

30.8 (36.9)

18.9 (20.0)

P value < 0.001

LOS

median days (IQR)

Kudo 2012

8.2 (5 to 14)

7.7 (3 to 14)

P value = 0.607

LOS: median days (IQR)

Linko 2011

20 (12 to 34)

8 (5 to 13)

P value < 0.001

aRR: adjusted risk ratio
CI: confidence interval
CS: corticosteroid
ICU: intensive care unit
LOS: length of stay
MV: mechanical ventilation
OR: odds ratio
RR: risk ratio

† adjusted risk ratio 1.8, 95% CI 1.2 to 2.8 (following adjustment for co‐morbid illnesses, age, pregnancy and obesity).

Studies in the community setting

We did not identify any studies conducted entirely in a community setting.

1. Rate of hospitalisation

None of the included studies reported this outcome stratified according to corticosteroid use.

2. Time to resolution of symptoms

None of the included studies reported this outcome stratified according to corticosteroid use.

3. 30‐day mortality

None of the included studies reported this outcome stratified according to corticosteroid use.

Secondary outcomes

For studies of hospitalised patients
1. Hospital re‐admission rate at 30 days post‐discharge

None of the included studies reported this outcome stratified according to corticosteroid use.

2. Number and nature of adverse events secondary to corticosteroid use, such as incidence of gastrointestinal bleeding, hospital‐acquired infections and metabolic complications (e.g. hyperglycaemia, hypernatraemia)

A summary of studies reporting nosocomial infections according to corticosteroid use is provided in Table 5. The unadjusted odds of nosocomial infection were generally greater in the groups treated with corticosteroid therapy compared to no corticosteroid. We graded the quality of the evidence related to hospital‐acquired infection as very low (summary of findings Table for the main comparison)

Open in table viewer
Table 5. Summary of studies reporting corticosteroid‐related adverse events or nosocomial infection

Adverse effect

Study

Group treated with corticosteroids

Group not treated with corticosteroids

Unadjusted estimate of effect

ICU‐acquired infection

Brun‐Buisson 2011

38/83 (45.8)

44/125 (35.2)

OR 1.55, 95% CI 0.88 to 2.74

Hospital‐acquired infection

Kim 2011

54/107 (50.5)

24/138 (17.4)

OR 4.84, 95% CI 2.71 to 8.65

Hospital‐acquired infection

Viasus 2011

6/37 (16.2)

4/129 (3.1)

OR 6.05, 95% CI 1.61 to 22.75

ICU: intensive care unit
OR: odds ratio

3. Proportion of patients requiring mechanical ventilation

Two studies reported greater unadjusted odds for mechanical ventilation in the group treated with corticosteroid therapy (Kim 2011; Linko 2011) (Table 4).

4. Length of stay in hospital

Four studies reported length of stay according to corticosteroid use; all were unadjusted for disease severity (Table 4). Two studies found a longer length of stay associated with corticosteroid use (Kim 2011; Linko 2011), while the others reported no statistically significant difference (Brun‐Buisson 2011; Kudo 2012).

For studies in the community setting
1. Number and nature of adverse events secondary to corticosteroid use

None of the included studies reported this outcome stratified according to corticosteroid use.

Sensitivity analysis

Pooled analysis of 12 studies investigating individuals with 2009 influenza A H1N1 virus (H1N1pdm09) infection only, excluding one study of influenza A/H5N1 (Liem 2009), found corticosteroid use to be associated with greater odds of mortality (OR 2.98, 95% CI 1.47 to 6.04) with high statistical heterogeneity (I2 statistic = 81%).

Subgroup analysis

A summary of outcomes according to the different corticosteroid regimens is in Table 6; the number of studies was insufficient to perform subgroup analyses according to the various reported regimens. Only one study compared low versus high doses of corticosteroid treatment (Xi 2010). Two studies compared early verus later/no corticosteroid treatment; one defined early treatment as within three days of mechanical ventilation (Brun‐Buisson 2011), and the other as within three days from onset of symptoms (Han 2011). Outcomes stratified according to age groups (children versus adults) and route of corticosteroid administration (intravenous versus oral) were not reported in the studies included in this review.

Open in table viewer
Table 6. Summary of studies reporting outcomes stratified according to different corticosteroid regimens

Subgroup analysis

Study

Outcome

Comments

Early and late CS therapy compared with no CS therapy

Brun‐Buisson 2011

Hospital mortality

Early CS: HR 3.42, 95% CI 1.73 to 6.75; P value = 0.001

Late CS: HR 1.93, 95% CI, 0.84 to 4.43; P value = 0.12

Early treatment defined as 'within 3 days of mechanical ventilation'

Propensity score adjusted analysis

Early CS therapy versus late/no CS therapy groups combined

Han 2011

Critical illness

RR 1.8, 95% CI 1.2 to 2.8

Early treatment defined as < 72 hours from influenza‐like illness

Multivariate analysis following adjustment for underlying co‐morbid illnesses, age, pregnancy and obesity

Low‐dose versus high‐dose CS therapy

Xi 2010

In‐hospital mortality

9/30 versus 8/22, P value = 0.854

Low‐dose CS therapy defined as ≤ 80 mg methylprednisolone or equivalent daily dose

Unadjusted outcome

CI: confidence interval
CS: corticosteroid
HR: hazard ratio
RR: risk ratio

Impact of systemic corticosteroid use prior to the diagnosis of influenza

A study of corticosteroid use for the treatment of graft versus host disease in haematopoietic stem cell transplant (HSCT) recipients, in the two weeks prior to the diagnosis of seasonal influenza, found no observed differences in time to death between individuals receiving low‐dose corticosteroid therapy (< 1 mg/kg/day of methylprednisolone) (adjusted HR 1.1, 95% CI 0.4 to 3.6) or high‐dose corticosteroid therapy (≥ 1 mg/kg/day of methylprednisolone) (adjusted HR 1.1, 95% CI 0.3 to 3.5), in comparison to no prior corticosteroid therapy (Boudreault 2011). A mixed cohort of out‐patients and in‐patients with seasonal influenza reported increased odds of 'complicated influenza' (defined as the need for hospitalisation due to pneumonia, neurological complications, invasive bacterial infection, myocarditis or pericarditis) associated with corticosteroid therapy (adjusted OR 12.19, 95% CI 3.26 to 45.53) (Wu 2012). Corticosteroid therapy in the 90 days prior to hospital admission was independently associated with poor outcome (defined as a composite outcome of ICU admission and death) (adjusted OR 3.37, 95% CI 1.39 to 8.20) in a study of individuals hospitalised with 2009 influenza A H1N1 virus (H1N1pdm09) infection (Delgado‐Rodriguez 2012).

Discussion

available in

Summary of main results

The main findings of this systematic review are that: 1) there are no completed randomised controlled trials (RCTs) reporting the impact of adjunctive corticosteroid therapy on clinical outcomes in patients with influenza infection; the available data from observational studies are of very low quality, and 2) the available data suggest corticosteroid therapy might be associated with up to a three‐fold greater odds of mortality. These results should be interpreted with caution.

Overall completeness and applicability of evidence

The findings from this review must be viewed in the light of two important considerations. Firstly, the indications for corticosteroid therapy were not fully specified in many studies. In some instances, the stated rationale was adult respiratory distress syndrome (ARDS) and septic shock (Brun‐Buisson 2011; Diaz 2012; Kim 2011; Xi 2010). However, at one extreme, corticosteroid therapy may have been used as 'a last attempt' in individuals with refractory illness. Conversely, they may have been used to treat less severe underlying comorbid illnesses such as exacerbations of asthma. The majority of studies included in this review relate to the 2009 pandemic when revised guidance from the World Health Organization (WHO) in February 2010 would have applied (WHO 2010). However, adherence to that guidance, which recommended that "patients who have severe or progressive clinical illness, including viral pneumonitis, respiratory failure and ARDS due to influenza virus infection, should not be given systemic corticosteroids unless indicated for other reasons or as part of an approved research protocol" is not known. Over the same period, the 'Surviving Sepsis Campaign' recommended the use of corticosteroid therapy only in the setting of vasopressor‐dependent septic shock (Dellinger 2013). The use of corticosteroids in the context of influenza infection, but for different clinical indications (notably asthma), has been previously shown to be associated with different outcomes (Myles 2013); this may reflect both the different mechanisms of action of corticosteroids depending on the underlying pathophysiology and the impact of bias by indication in reports from observational studies. This is compounded by the lack of consistent adjustment for disease severity across available studies.

The second consideration relates to the doses of corticosteroids used. These were poorly specified in many instances and, where reported, a higher daily dose was used (prednisolone equivalent > 50 mg daily) than is typically recommended for the treatment of septic shock or exacerbations of airways disease such as asthma (BTS 2008; Dellinger 2013; NICE 2010). Variability in corticosteroid dose and administration schedule are both factors associated with treatment outcomes in the setting of severe sepsis; in particular, high doses given in short bursts have not been associated with benefit compared to low doses given for longer durations (≥ five days) (Annane 2009). The use of higher doses of corticosteroids may explain the greater risk from secondary bacterial pneumonias due to S. aureus,K. pneumoniae,A. baumannii and P. aeruginosa observed with corticosteroid therapy in some studies (Kim 2011). In a study elsewhere, corticosteroid use was also found to be an independent risk factor for the development of invasive fungal infections in adults admitted to the intensive care unit (ICU) with influenza (Wauters 2012).

The mechanisms behind potential harm from corticosteroids, aside from the risks from nosocomial infections, are not well defined. In patients with influenza A (H3N2) infection, systemic corticosteroid use for exacerbations of asthma or chronic obstructive pulmonary disease (COPD) was found to be associated with delayed viral clearance (Lee 2009). A study of individuals hospitalised with 2009 influenza A H1N1 virus (H1N1pdm09) infection found that corticosteroid therapy was associated with persistent viral shedding (defined as the detection of virus on real‐time polymerase chain reaction (RT‐PCR) at day seven after diagnosis on nasopharyngeal swabs) (Giannella 2011). A similar observation was made in haematopoietic stem cell transplant recipients with 2009 influenza A H1N1 virus (H1N1pdm09) infection (Choi 2011). In turn, slower clearance of viral load was associated with mortality from ARDS in patients with 2009 influenza A H1N1 virus (H1N1pdm09) infection (To 2010). Though causation cannot be inferred from these studies, exposure to systemic corticosteroids without concurrent antiviral treatment, as was likely for some patients in the studies reviewed, may proffer the highest risk of harm (Jain 2009; Wu 2012).

There was no evidence of publication bias in the effect of corticosteroids on the odds of mortality, where we found that the treatment effects in smaller studies were similar to those estimated in the larger studies. Although the test was likely to have sufficient power from including 13 studies in the funnel plot, we acknowledge their limitation of being subjective.

Quality of the evidence

The pooled analysis of mortality showed high statistical heterogeneity, most likely due to the inclusion of unadjusted estimates of mortality. Clinical heterogeneity was apparent across included studies. Specifically, disease severity was measured using a wide variety of clinical risk scores and mortality was reported at different time points; the rationale for corticosteroid use was inconsistent across studies; there was variation in the treatment groups with regard to the timing, dosage, duration and type of corticosteroid used; and the co‐interventions for the comparator groups across studies were not uniform as varying proportions of adults were treated with antivirals and/or antibiotics. We graded the overall quality of the evidence for mortality, adverse events, rate of mechanical ventilation and critical disease as 'very low' due to the high likelihood of indication bias, and clinical and statistical heterogeneity in the included observational studies (summary of findings Table for the main comparison).

Potential biases in the review process

The available evidence identified consists solely of observational data. We noted a high degree of correlation between corticosteroid therapy and potential confounders for measured outcomes (such as disease severity and the presence of co‐morbid illness) in some studies (Kim 2011; Linko 2011; Viasus 2011); hence unadjusted effect estimates are likely to be confounded by indication.

Agreements and disagreements with other studies or reviews

A large, multicentre, prospective cohort study of 220 individuals admitted to ICUs across Europe with 2009 influenza A H1N1 virus (H1N1pdm09) infection was not included in this review due to overlapping study populations; it found no association between corticosteroid use and ICU admission and ICU mortality, following adjustment for age, co‐morbid illnesses and disease severity (adjusted HR 1.3, 95% CI 0.7 to 2.4, P value = 0.4) (Martin‐Loeches 2011).

The association of increased odds of mortality with adjunctive corticosteroid therapy, as found in this review, is also in contrast to the evidence base from clinical trials of corticosteroids in the setting of sepsis and pneumonia. Specifically, in a meta‐analysis of 17 RCTs (n = 2138) of corticosteroids in severe sepsis, subgroup analysis found that prolonged low‐dose corticosteroid therapy was associated with lower 28‐day mortality (Annane 2009). Similarly, a meta‐analysis of 12 RCTs (n = 1974) of adults with community‐acquired pneumonia concluded that adjunctive corticosteroid therapy may reduce mortality, need for mechanical ventilation and hospital length of stay (Siemieniuk 2015). Larger trials of corticosteroid therapy in severe sepsis and severe pneumonia are in progress and should provide more robust data within the next few years (Bos 2012; Bridges 2011; Venkatesh 2013).

Study flow diagram.
Figures and Tables -
Figure 1

Study flow diagram.

Meta‐analysis of studies reporting mortality
Figures and Tables -
Figure 2

Meta‐analysis of studies reporting mortality

Funnel plot of studies reporting mortality
Figures and Tables -
Figure 3

Funnel plot of studies reporting mortality

Comparison 1 Corticosteroid therapy versus no corticosteroid therapy, Outcome 1 Mortality.
Figures and Tables -
Analysis 1.1

Comparison 1 Corticosteroid therapy versus no corticosteroid therapy, Outcome 1 Mortality.

Summary of findings for the main comparison. Effect of corticosteroid therapy on influenza‐related outcomes

Effect of corticosteroid therapy on influenza‐related outcomes

Patient or population: individuals with influenza
Settings: in‐hospital
Intervention: corticosteroid therapy

Outcomes

Illustrative comparative risks* (95% CI)

Relative effect
(95% CI)

No of participants
(studies)

Quality of the evidence
(GRADE)

Assumed risk

Corresponding risk

Control

Corticosteroid therapy

Mortality

141 per 1000

334 per 1000
(206 to 493)

OR 3.06
(1.58 to 5.92)

1915
(13 studies)

⊕⊝⊝⊝
very lowa

Hospital‐acquired infection

See comment

See comment

Not estimable

619
(3 studies)

⊕⊝⊝⊝
very lowb

Critical illness (composite outcome including death and intensive care unit admission)

See comment

See comment

Not estimable

322
(2 studies)

⊕⊝⊝⊝
very lowc

Mechanical ventilation

See comment

See comment

Not estimable

377
(2 studies)

⊕⊝⊝⊝
very lowd

*The basis for the assumed risk (e.g. the median control group risk across studies) is provided in footnotes. The corresponding risk (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).
CI: confidence interval; OR: odds ratio

GRADE Working Group grades of evidence
High quality: Further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: Further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: Further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: We are very uncertain about the estimate.

aPooled analysis. We downgraded the quality of evidence from low (observational data) to very low due to high risk of indication bias (sicker adults with influenza were more likely to receive corticosteroids) and clinical/statistical heterogeneity (unadjusted estimates of odds ratio for mortality were presented in some studies and the definition of mortality varied across the studies). We upgraded the quality of evidence once as plausible confounding was likely to change the effect estimate.

bResults were not pooled. We downgraded the quality of evidence from low (observational data) to very low due to high risk of indication bias (sicker adults with influenza were more likely to receive corticosteroids) and clinical and statistical heterogeneity (unadjusted estimates of odds ratio for hospital‐acquired infection were presented in all studies, and the definitions for hospital‐acquired infection varied across the studies). We upgraded the quality of evidence once as plausible confounding was likely to change the effect estimate.

cResults were not pooled. We downgraded the quality of evidence from low (observational data) to very low due to high risk of indication bias (sicker adults with influenza were more likely to receive corticosteroids) and clinical and statistical heterogeneity (unadjusted estimates of odds ratio and risk ratio for critical illness were presented in all studies, and the definitions for critical illness varied across the studies). We upgraded the quality of evidence once as plausible confounding was likely to change the effect estimate.

dResults were not pooled. We downgraded the quality of evidence from low (observational data) to very low due to high risk of indication bias (sicker adults with influenza were more likely to receive corticosteroids) and clinical and statistical heterogeneity (unadjusted estimates of odds ratio for mechanical ventilation were presented in all studies). We upgraded the quality of evidence once as plausible confounding was likely to change the effect estimate.

Figures and Tables -
Summary of findings for the main comparison. Effect of corticosteroid therapy on influenza‐related outcomes
Table 1. Summary of included studies ‐ studies included in meta‐analysis

Study/year (country)

Design

Setting/inclusion criteria

CS given (n)

CS not given (n)

Demographics

Disease severity scores

Corticosteroid therapy dose/timing/duration

Outcomes reported

Influenza 2009 influenza A H1N1 virus (H1N1pdm09)

Balaganesakumar 2013 (India ‐ Tamil Nadu)

Multicentre, prospective cohort study

In‐hospital/admissions with influenza

70

210

Median age (years): 26 (1 to 82)

Not reported

Not reported

Mortality

Brun‐Buisson 2011 (France)

Multicentre, retrospective analysis of prospectively collected data

ICU/severe respiratory failure (ARDS or MV)

83 (early CS 50 and late CS 33)

125

Median age (years): no CS 45 (35 to 55); CS 49 (34 to 56)

Immunosuppression: no CS 18.4%; CS 21.7%

Median SAPSIII cohort 52.0 (44.0 to 64.0); no CS 53.0 (46.0 to 66.0); CS group 51.0 (44.0 to 61.0); P value = 0.25

Median daily dose: 270 (200 to 400) mg of hydrocortisone equivalent

Timing: within median 1 day (0 to 6) of MV

Duration: median 11 days (6 to 20)

Hospital mortality, length of ICU stay, adverse events

Chawla 2013 (India ‐ New Delhi)

Single‐centre, retrospective cohort study

ICU/admissions with influenza

38

39

Mean age (years): 40.9 (± 13.4)

Not reported

Duration of therapy: mean (days) 10.6 (± 7.8)

Mortality

Diaz 2012 (Spain)

Multicentre, retrospective analysis of prospectively collected data

ICU/ILI; respiratory failure requiring ICU admission

136

236

Mean age (years): no CS 43.6 (± 13.6); CS 43.1 (12.9)

Asthma: no CS 18%; CS 21%

COPD: no CS 27%; CS 18%

Mean (SD) APACHEII:

no CS group 12.5 (± 6.7); CS group 13.2 (± 6.3) (P value = 0.318)

Not reported

ICU mortality, MV, LOS

Kim 2011 (South Korea)

Multicentre, retrospective cohort/case‐control

ICU/age ≥ 15 years; presence of critical illness

107

138

Mean age (years): no CS 54.1 (± 19.3); CS 56.9 (± 17.2)

Asthma: CS 9%; no CS 7%

COPD: CS 13%; no CS 4%

Mean (SD) APACHE II: no CS group 17.5 (± 8.5); CS group 21.2 (± 7.7); P value = 0.001

Dose: median pred equivalent 75 (50 to 81) mg/day

Duration: median days 6 (3 to 14)

Mortality (14‐day, 30‐day and 90‐day), LOS, acquired infections

Li 2012 (China ‐ Anhui province)

Multicentre, retrospective cohort study

In‐hospital/pregnant, severe disease

27

19

Median age (years): adults who died 21 (18 to 31) and survivors 21 (18 to 27)

Not reported

Not reported

Mortality

Linko 2011 (Finland)

Multicentre, prospective cohort study

ICU/admissions with influenza

72

60

Median age (years): no CS 44 (25 to 57); CS 51 (40 to 56)

COPD: no CS 5%; CS 8%

Other obstructive pulmonary disease: no CS 23%; CS 21%

Median SAPSII: no CS 22 (15 to 30); CS 31 (24 to 36); P value = 0.001

Methylpred and/or hydrocortisone

Dose: mean (SD) of highest methylpred dose 94 (± 43) mg and hydrocortisone 214 (± 66) mg

Timing: median (IQR) days after symptom onset 5.0 (2.8 to 8.3)

In‐hospital mortality, MV, LOS

Mady 2012 (Saudi Arabia)

Single‐centre, retrospective cohort study

ICU/influenza with respiratory failure

43

43

Cohort mean age (years): 40.8

Asthma or COPD: 38.3%

Mean APACHEIV: 110.5 versus 100.6 (P value > 0.05), not specified for which treatment group

Methylpred

Dose: 1 mg/kg per day for 7 days

Mortality

Patel 2013 (India ‐ Gujarat)

Single‐centre, retrospective cohort study

In‐hospital/admissions with influenza

39

24

Cohort median age (years): 34 (3 to 69)

Not reported

Dose: methylprednisolone 40 mg 3 times a day, twice a day and once a day, for week 1, 2 and 3 respectively

Mortality

Sertogullarindan 2011 (Turkey)

Single‐centre, prospective cohort study

ICU/severe community‐acquired pneumonia and influenza

11

9

Cohort median age (years): 36 (15 to 72)

COPD: 10%

Not reported

Not reported

Mortality

Viasus 2011 (Spain)

Multicentre, prospective cohort study

In‐hospital/ non‐immunosuppressed, admitted > 24 hours

37

129

Median age (years): no CS 35 (28 to 47); CS 44 (36 to 53)

Chronic pulmonary disease: no CS 17.1%; CS 45.9%

Number in high‐risk PSI classes: CS 8 (21.6);

no CS 8 (6.4); P value < 0.05

Duration: median days 9 (5 to 13.5)

Severe disease

(composite outcome of ICU admission/death), acquired infection

Xi 2010 (China ‐ Beijing)

Multicentre, retrospective cohort study

In‐hospital/age ≥ 18 years

52

103

Cohort mean age (years): 43 (± 18.6)

COPD: 6.5%

Not reported

Dose: daily median dose equivalent to methylpred 80 mg (IQR 80 to 160 mg)

In‐hospital mortality

Subgroup analysis of mortality by CS dose

Avian influenza A(H5N1)

Liem 2009 (Vietnam)

Multicentre, retrospective cohort

In‐hospital/hospitalised patients with influenza

29

38

Cohort median age (years): 25 (16 to 42)

Not reported

Dose: methylpred 1 to 3 mg/kg/day for 7 days

In‐hospital mortality

Studies not included in meta‐analysis

Influenza 2009 influenza A H1N1 virus (H1N1pdm09)

Delgado‐Rodriguez 2012 (Spain)

Multicentre, prospective cohort

In‐hospital/ILI, RTI, septic shock, multi‐organ failure

31

782

Cohort median age (years): 41 (19 to 55)

Not reported

Corticosteroid use 90 days prior to admission

Poor outcome (ICU admission and in‐hospital death), LOS

Han 2011 (China ‐ Shenyang City)

Multicentre, retrospective cohort

In‐hospital/age > 3 years

46 (early CS 17 and late CS 29)

37

Median age (years): no CS 38 (5 to 75); CS 43 (3 to 70)

Median PMEWS: no CS group 2 (0 to 5); CS group 2 (0 to 5)

Methylpred and dexamethasone

Critical illness

Jain 2009 (USA)

Multicentre, retrospective cohort

In‐hospital/ILI with hospital admission ≥ 24 hours

86

153

Cohort median age: 21 years (21 days to 86 years)

Asthma: 28%; COPD: 8% Immunosuppression: 15%

Not reported

Not reported

Death/ICU admission versus survival/no ICU admission

Kudo 2012 (Japan)

Single‐centre, retrospective cohort

In‐hospital/hospitalised patients with respiratory disorders

46

12

Cohort median age (years): 8 (0 to 71)

Asthma: 29.2%

Not reported

Dose: methylpred 1 to 1.5 mg/kg, 2 to 4 times/day

Duration: median 5.1 days

Timing: median 2.1 days following symptom onset

LOS

Interpandemic (seasonal) influenza

Boudreault 2011 (USA)

Single‐centre, retrospective cohort

Non‐ICU/HSCT recipients with RTI

80

(low‐dose 43 and high‐dose 37)

63

Median age (years): no CS 42 (32 to 51); low‐dose CS 42 (28 to 53); high‐dose CS 40 (32 to 54)

Not reported

Highest dose in 2/52 preceding influenza Low‐dose (pred/methylpred < 1 mg/kg/day); high‐dose (pred/methylpred >= 1 mg/kg/day)

MV, time to death, PVS

Wu 2012 (Taiwan)

Single‐centre, prospective cohort

Mixed cohort of out‐patients and in‐patients

17

189

Age >= 65 years in cohort: 12.6%

Chronic lung disease: 9.7%

Malignancy: 8.7%

Not reported

Dose/duration: not reported

Unclear if CS commenced prior to or following diagnosis

Complicated influenza (requiring hospitalisation)

APACHE: Acute Physiology and Chronic Health Evaluation
ARDS: adult respiratory distress syndrome
COPD: chronic obstructive pulmonary disease
CS: corticosteroid therapy
HSCT: haematopoietic stem cell transplant
ICU: intensive care unit
ILI: influenza‐like illness
IQR: inter‐quartile range
LDH: lactate dehydrogenase
LOS: length of stay
methylpred: methylprednisolone
MV: mechanical ventilation
PMEWS: Pandemic Modified Early Warning Score
pred: prednisolone
PSI: Pneumonia Severity Index
PVS: persistent viral shedding
RTI: respiratory tract infection
SAPS: Simplified Acute Physiology Score
SD: standard deviation
SOFA: Sequential Organ Failure Assessment

Figures and Tables -
Table 1. Summary of included studies ‐ studies included in meta‐analysis
Table 2. Risk of bias in observational studies using the Newcastle‐Ottawa Scale

Study

Outcome

Selection domain

(maximum 4 stars)

Comparability domain

(maximum 2 stars)

Outcome domain

(maximum 3 stars)

Balaganesakumar 2013

Mortality

2

1

2

Boudreault 2011 †

Time to death

2

1

2

Brun‐Buisson 2011

In‐hospital mortality

3

2

3

Brun‐Buisson 2011

Length of ICU stay

3

0

3

Brun‐Buisson 2011

ICU‐acquired infection

3

0

3

Chawla 2013

Mortality

3

0

3

Delgado‐Rodriguez 2012 †

Composite outcome of ICU admission and mortality

3

2

3

Diaz 2012

ICU mortality

3

2

2

Han 2011 †

Critical illness

3

2

3

Jain 2009 †

ICU admission death versus survival/no ICU admission

4

0

3

Kim 2011

Mortality

4

2

3

Kim 2011

MV

4

0

3

Kim 2011

LOS

4

0

3

Kim 2011

Hospital‐acquired infection

4

0

3

Kudo 2012 †

LOS

4

0

2

Li 2012

Mortality

2

0

3

Liem 2009

In‐hospital mortality

4

1

3

Linko 2011

In‐hospital mortality

4

2

3

Linko 2011

MV

4

0

3

Linko 2011

LOS

4

0

3

Mady 2012

Mortality

3

0

3

Patel 2013

Mortality

2

0

3

Sertogullarindan

2011

Mortality

3

0

3

Viasus 2011

In‐hospital mortality

4

0

3

Viasus 2011

Hospital‐acquired infection

4

0

3

Wu 2012 †

Influenza requiring hospitalisation

4

1

3

Xi 2010

In‐hospital mortality

3

1

3

ICU: intensive care unit
LOS: length of stay
MV: mechanical ventilation

† studies not included in meta‐analysis (three studies investigating CS therapy before influenza diagnosis (Boudreault 2011; Delgado‐Rodriguez 2012; Wu 2012); three studies with no mortality data according to CS use (Han 2011; Jain 2009; Kudo 2012).

Figures and Tables -
Table 2. Risk of bias in observational studies using the Newcastle‐Ottawa Scale
Table 3. Summary of studies reporting mortality

Study

Outcome reported

Mortality in CS treatment group

Mortality in group not treated with CS

Reported unadjusted risk of mortality

Reported adjusted risk of mortality

Variables included in model for adjusted estimates

Balaganesakumar 2013

Mortality

50/70 (71.4)

20/210 (9.5)

OR 23.8 (95% CI 11.3 to 50.8)

Not reported

Brun‐Buisson 2011

In‐hospital mortality

28/83 (33.8)

21/125 (16.8)

HR 2.39 (95% CI 1.32 to 4.31)

aHR 2.59 (95% CI 1.42 to 4.73)

Immunosuppression, disease severity (SAPS3), vasopressor use

Chawla 2013

Mortality

9/38 (23.7)

1/39 (2.6)

OR 11.8 (95% CI 1.4 to 98.4)

Not reported

Diaz 2012

ICU mortality

25/136 (18.4)

41/236 (17.4)

HR 0.91 (95% CI 0.55 to 1.48)

aHR 1.06 (95% CI 0.63 to 1.80)

Disease severity (APACHEII), co‐morbid illnesses

Kim 2011

90‐day mortality (also unadjusted estimates provided for 14‐day and 30‐day)

62/107 (57.9)

37/138 (26.8)

OR 3.76 (95% CI 2.19 to 6.44)

aOR 2.20 (95% CI 1.03 to 4.71)

Age, disease severity (SOFA), MV, lymphocyte count, propensity score)

Li 2012

Mortality

6/27 (22.2)

1/19 (5.2)

OR 5.14 (95% CI 0.56 to 46.82)

Not reported

N/A

Liem 2009

In‐hospital mortality

17/29 (58.6)

9/36 (25.0)

OR 4.25 (95% CI 1.48 to 12.22)

aOR 4.11 (95% CI 1.14 to 14.83)

Neutropenia as surrogate for severity

Linko 2011

In‐hospital mortality

8/72 (11.1)

2/60 (3.3)

OR 3.63 (95% CI 0.74 to 17.77)

aOR 3.3 (95% CI 0.5 to 23.4)

Disease severity (SAPS2)

Mady 2012

In‐hospital mortality

20/43(46.5)

10/43 (23.2)

OR of 2.87 (95% CI 1.14 to 7.25)

Not reported

N/A

Patel 2013

Mortality

11/39 (28.2)

3/24 (12.5)

OR 2.75 (95% CI 0.68 to 11.1)

Not reported

Sertogullarindan

2011

Mortality

3/11 (27.3)

6/9 (66.7)

OR 0.19 (95% CI 0.03 to 1.28)

Not reported

N/A

Viasus 2011

Mortality (primary outcome was 'severe disease' = ICU admission/death)

3/37 (8.1)

4/129 (3.1)

OR 2.76 (95% CI 0.59 to 12.92)

Not reported

N/A

Xi 2010

In‐hospital mortality

17/52 (32.7)

10/103 (9.7)

OR 4.52 (95% CI 1.89 to 10.81)

aOR 3.67 (95% CI 0.99 to 13.64)

Ethnicity, co‐morbid illness, symptoms at onset, laboratory tests

aHR: adjusted HR
aOR: adjusted OR
APACHE: Acute Physiology and Chronic Health Evaluation ventilation
CI: confidence interval
CS: corticosteroid
HR: hazard ratio
ICU: intensive care unit
MV: mechanical
OR: odds ratio
RR: risk ratio
SAPS: Simplified Acute Physiology Score

Figures and Tables -
Table 3. Summary of studies reporting mortality
Table 4. Summary of studies reporting relevant outcomes other than mortality

Outcome

Study

Group treated with corticosteroids

Group not treated with corticosteroids

Unadjusted estimate of effect

Critical disease

Han 2011

Early CS

12/17 (70.6)

Late or no CS

26/66 (39.4)

RR 1.8, 95% CI 1.2 to 2.8†

Composite outcome of ICU admission/death

Jain 2009

29/86 (33.7)

27/153 (17.6)

OR 2.37, 95% CI 1.29 to 4.37

Rate of MV

Kim 2011

91/107 (85.0)

71/138 (51.4)

OR 5.37, 95% CI 2.87 to 10.05

Rate of MV

Linko 2011

53/72 (73.6)

14/60 (23.3)

OR 9.17, 95% CI 4.14 to 20.30

Length of ICU stay: median days (IQR)

Brun‐Buisson 2011

22 (13 to 39)

17 (11 to 30)

P value = 0.11

LOS: mean days (SD)

Kim 2011

30.8 (36.9)

18.9 (20.0)

P value < 0.001

LOS

median days (IQR)

Kudo 2012

8.2 (5 to 14)

7.7 (3 to 14)

P value = 0.607

LOS: median days (IQR)

Linko 2011

20 (12 to 34)

8 (5 to 13)

P value < 0.001

aRR: adjusted risk ratio
CI: confidence interval
CS: corticosteroid
ICU: intensive care unit
LOS: length of stay
MV: mechanical ventilation
OR: odds ratio
RR: risk ratio

† adjusted risk ratio 1.8, 95% CI 1.2 to 2.8 (following adjustment for co‐morbid illnesses, age, pregnancy and obesity).

Figures and Tables -
Table 4. Summary of studies reporting relevant outcomes other than mortality
Table 5. Summary of studies reporting corticosteroid‐related adverse events or nosocomial infection

Adverse effect

Study

Group treated with corticosteroids

Group not treated with corticosteroids

Unadjusted estimate of effect

ICU‐acquired infection

Brun‐Buisson 2011

38/83 (45.8)

44/125 (35.2)

OR 1.55, 95% CI 0.88 to 2.74

Hospital‐acquired infection

Kim 2011

54/107 (50.5)

24/138 (17.4)

OR 4.84, 95% CI 2.71 to 8.65

Hospital‐acquired infection

Viasus 2011

6/37 (16.2)

4/129 (3.1)

OR 6.05, 95% CI 1.61 to 22.75

ICU: intensive care unit
OR: odds ratio

Figures and Tables -
Table 5. Summary of studies reporting corticosteroid‐related adverse events or nosocomial infection
Table 6. Summary of studies reporting outcomes stratified according to different corticosteroid regimens

Subgroup analysis

Study

Outcome

Comments

Early and late CS therapy compared with no CS therapy

Brun‐Buisson 2011

Hospital mortality

Early CS: HR 3.42, 95% CI 1.73 to 6.75; P value = 0.001

Late CS: HR 1.93, 95% CI, 0.84 to 4.43; P value = 0.12

Early treatment defined as 'within 3 days of mechanical ventilation'

Propensity score adjusted analysis

Early CS therapy versus late/no CS therapy groups combined

Han 2011

Critical illness

RR 1.8, 95% CI 1.2 to 2.8

Early treatment defined as < 72 hours from influenza‐like illness

Multivariate analysis following adjustment for underlying co‐morbid illnesses, age, pregnancy and obesity

Low‐dose versus high‐dose CS therapy

Xi 2010

In‐hospital mortality

9/30 versus 8/22, P value = 0.854

Low‐dose CS therapy defined as ≤ 80 mg methylprednisolone or equivalent daily dose

Unadjusted outcome

CI: confidence interval
CS: corticosteroid
HR: hazard ratio
RR: risk ratio

Figures and Tables -
Table 6. Summary of studies reporting outcomes stratified according to different corticosteroid regimens
Comparison 1. Corticosteroid therapy versus no corticosteroid therapy

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Mortality Show forest plot

13

1917

Odds Ratio (Random, 95% CI)

3.06 [1.58, 5.92]

1.1 Unadjusted mortality

9

1318

Odds Ratio (Random, 95% CI)

2.99 [1.18, 7.57]

1.2 Adjusted mortality

4

599

Odds Ratio (Random, 95% CI)

2.82 [1.61, 4.92]

Figures and Tables -
Comparison 1. Corticosteroid therapy versus no corticosteroid therapy