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Erschienen in: BMC Medicine 1/2017

Open Access 01.12.2017 | Research article

Clinical and laboratory predictors of death in African children with features of severe malaria: a systematic review and meta-analysis

verfasst von: Paulina Sypniewska, Jose F. Duda, Isabella Locatelli, Clotilde Rambaud Althaus, Fabrice Althaus, Blaise Genton

Erschienen in: BMC Medicine | Ausgabe 1/2017

Abstract

Background

The criteria for defining severe malaria have evolved over the last 20 years. We aimed to assess the strength of association of death with features currently characterizing severe malaria through a systematic review and meta-analysis.

Method

Electronic databases (Medline, Embase, Cochrane Database of Systematic Reviews, Thomson Reuters Web of Knowledge) were searched to identify publications including African children with severe malaria. PRISMA guidelines were followed. Selection was based on design (epidemiological, clinical and treatment studies), setting (Africa), participants (children < 15 years old with severe malaria), outcome (survival/death rate), and prognostic indicators (clinical and laboratory features). Quality assessment was performed following the criteria of the 2011 Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2). Odds ratios (ORs) were calculated for each study and prognostic indicator, and, when a test was assessed in at least two studies, pooled estimates of ORs were computed using fixed- or random-effects meta-analysis.

Results

A total of 601 articles were identified and screened and 30 publications were retained. Features with the highest pooled ORs were renal failure (5.96, 95% CI 2.93–12.11), coma score (4.83, 95% CI 3.11–7.5), hypoglycemia (4.59, 95% CI 2.68–7.89), shock (4.31, 95% CI 2.15–8.64), and deep breathing (3.8, 95% CI 3.29–4.39). Only half of the criteria had an OR > 2. Features with the lowest pooled ORs were impaired consciousness (0.58, 95% CI 0.25–1.37), severe anemia (0.76, 95% CI 0.5– 1.13), and prostration (1.12, 95% CI 0.45–2.82).

Conclusion

The findings of this meta-analysis show that the strength of association between the criteria defining severe malaria and death is quite variable for each clinical and/or laboratory feature (OR ranging from 0.58 to 5.96). This ranking allowed the identification of features weakly associated with death, such as impaired consciousness and prostration, which could assist to improve case definition, and thus optimize antimalarial treatment.
Hinweise

Electronic supplementary material

The online version of this article (doi:10.​1186/​s12916-017-0906-5) contains supplementary material, which is available to authorized users.
Abkürzungen
BCS
Blantyre Coma Scale
CI
confidence interval
ORs
odds ratios
PRISMA
Preferred Reporting Items for Systemic Reviews and Meta-Analyses
QUADAS
Quality Assessment of Diagnostic Accuracy Studies
SMAC
Severe Malaria in African Children
WHO
World Health Organization

Background

Severe malaria accounted for approximately 2 million out of 207 million estimated malaria cases in 2012 [1]. In areas with intense and stable transmission, children under the age of 5 years carry the heaviest burden, especially in the sub-Saharan region [2]. Although a correct and prompt diagnosis of severe malaria is crucial for prescribing appropriate therapy, and thus for reducing mortality, the parenteral administration of first-line treatment often remains a challenge in resource poor settings. Improved targeting of children who would benefit most from parenteral treatment rather than oral treatment would help the overall management of malaria cases.
A child is diagnosed with severe malaria when asexual P. falciparum parasitemia is detected in the peripheral blood smear or confirmed by a rapid diagnostic test, there is no other cause for its symptoms, and at least one of impaired consciousness, respiratory distress, multiple convulsions, prostration, shock, pulmonary edema, abnormal bleeding, jaundice, severe anemia, hypoglycemia, acidosis, hyperlactatemia, renal impairment, or hyperparasitemia is present. These criteria reflect the definition of severe malaria established by the World Health Organization (WHO) in 2000, according to which any child with positive blood parasitemia and at least one of abovementioned criteria is qualified to receive parenteral treatment [3].
In recent years, a decrease in the case fatality rate of malaria has been observed [4]. The reasons for this improvement are not entirely clear, but introduction of drugs with increased efficacy [5, 6] and effective control programs [7] have certainly played a crucial role. A reduction in the case fatality rate of severe malaria has also been documented in controlled trials [5, 6]. A potential confounder for this observed reduction may be related to a selection bias due to a shift in severe malaria case definition. In 1990, the WHO set the criteria for a strict definition of severe malaria for research and epidemiological purposes [8]. In 2000, new neurological criteria, i.e., prostration and impaired consciousness, were introduced into the definition [9], and recent works have relied on a wider pragmatic case definition. For example, the Severe Malaria in African Children (SMAC) studies included children with P. falciparum detected on blood smear and classified as “being severely ill enough to be hospitalized”, without further specifications [10].
In this context, we conducted a systematic review and meta-analysis to better understand the prognostic value of clinical and laboratory findings used to diagnose severe malaria in African children. This assessment was aimed at refining the commonly employed definition of severe malaria to then explore the possibility to define ‘moderately severe malaria’ cases that could benefit from much more accessible oral treatment.

Methods

Search strategy and sources

We performed a systematic literature search using Medline, Embase, Cochrane Database of Systematic Reviews, and Thomson Reuters Web of Knowledge. Study selection followed the Preferred Reporting Items for Systemic Reviews and Meta-Analyses (PRISMA) guidelines [11]. The first search was undertaken in January 2014, with an update in February 2015. We searched Medline and Embase using Medical Subject Headings and subheadings used for indexing articles. We combined the following terms: “malaria/complications OR malaria/mortality” AND “treatment outcome” AND “infant, newborn OR infant OR child OR adolescent”. In the Cochrane Database, we looked for the words “malaria and children” in the main title of the review. We searched the Thomson Reuters Web of Knowledge using the words “malaria child”, “Africa”, “mortality” and “complications”. We did not put any language or time restrictions on the search and we expanded it by examining the reference list of the selected studies. Additionally, we used three landmark articles [10, 12, 13] on severe malaria in African children to search for citations closely related to the selected article using the PubMed option “Related citations”.

Inclusion and exclusion criteria

Studies reporting clinical and laboratory variables, including at least 100 children aged < 15 years who were diagnosed with severe malaria according to the WHO definitions, and which allowed reconstructing of two-by-two tables made up of outcome (survival/death) and presence/absence of prognostic indicator, were included in this review. Controlled trials, non-controlled trials, cohort studies, case control studies and case series, both prospective and retrospective, were considered. When necessary, authors were contacted to obtain data to construct two-by-two tables. Two independent reviewers (BG and JD) conducted this search. Two [5, 10] of the included studies served as reference publications for other enclosed publications, although no direct prognostic indicators could be extracted. Three selected studies [1315] considered either partial or the whole population included originally in the study comparing artesunate with quinine in severe malaria treatment in Africa (known as the AQUAMAT study). In this case, the study with a greater number of study subjects with available clinical or laboratory features associated with death was selected. Two articles [16, 17] encompassed the same study population though they focused on distinct clinical or laboratory variables; thus, both of them were retained. In addition, 356 out of 2901 children enrolled in a study in The Gambia [18] also participated in the AQUAMAT study, which leads to duplication of the subjects included in these two large studies.
Finally, in view of the size of the comprised population, we also considered data from the SMAC studies [19] in our systematic review, although study inclusion criteria did not fully comply with the strict WHO definition of severe malaria. Therefore, we performed separate analyses with and without the SMAC studies.

Quality assessment

Quality of selected studies and their risk of biases were assessed by applying the 2011 revised version of the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool [20], which was adjusted to the particularity of this review following the recommendation of the Cochrane Collaboration (details in Additional file 1) [21]. When the patients’ inclusion criteria differed from the WHO criteria, we reported in the methodological quality assessment that there were great concerns about the applicability of the results to the research question. Regarding prognostic indicators, clinical and laboratory features were assessed separately. Furthermore, any reported death was considered as a reference standard. Studies including less than 80% of enrolled patients were labeled as highly biased. Quality assessment was performed by one reviewer (PS) and checked by a second reviewer (BG). Any disagreements were resolved through discussion and consensus.

Data extraction

Data on clinical features among children who survived or died were extracted by one reviewer (PS) using a standardized data extraction form and checked by the second (JD), as well as on random basis by the third (BG) reviewer. Information on characteristics (design, year of publication, study country, healthcare setting), study population (size, age range, mortality, inclusion and exclusion criteria), and prognostic indicators was gathered. Any identified errors were re-examined and corrected accordingly.

Statistical analysis

A two-by-two table including crossing variables, index test (0,1) and death (0,1), was constructed for each prognostic indicator. Odds ratios (ORs) were calculated to measure the association of each prognostic indicator with death. When a prognostic indicator was assessed in at least two studies, pooled estimates of ORs were calculated. A random effects meta-analysis was performed in the case of a significant heterogeneity among studies (P < 0.05). Otherwise, the fixed-effect approach was preferred. Metan command in STATA version 12 was used to perform these meta-analyses [22]. Results for all predictors were summarized in a Forrest plot, ordering markers from the least to the most strongly associated with death. The size of each predictor’s box is proportional to the global sample size of studies involved in the corresponding summary ORs. Two separate analyses were conducted; one enclosing additional findings derived from the SMAC studies and one without it, covering studies that referred strictly to the definition of WHO as diagnosis criteria. Prognostic indicators with definitive thresholds and few without single definition (acidosis, hyperparasitemia, renal failure, respiratory distress, shock) were pooled for the usage of this analysis. The combination of symptoms was not analyzed in this systematic review due to unavailability of individual records.

Results

A total of 601 studies were identified and screened in the systematic database search. Through the selection process presented in the flow diagram (Fig. 1), 30 titles [5, 10, 1319, 2343] published between 1994 and 2014 were selected and used to identify predictors; 28 were finally included in the meta-analysis (no direct data could be extracted from two referral studies). Overall, 90% of eligible studies were reported in English and 10% in French. The characteristics of the studies are outlined in Table 1. The summary of quality assessment of analyzed studies, according to the QUADAS-2 tool, is presented in Table 2. The detailed analysis of each study according to the QUADAS-2 tool was captured in Additional file 2.
Table 1
Characteristics of included studies
Reference
Design
Setting
Age range
Patients (N)
Case fatality rate (in the study)
Inclusion criteria
Exclusion criteria
List of prognostic indicators
Krishna 1994 [23]
Prosp
The Gambia; IPD; Research institute
1.5–12 years
115
18.3%
P. falciparum-positive blood film and one or more of the following features: BCS ≤2, parasitemia >100000/μL with 15%, or shock
Other causes of fever or altered consciousness (excluded by examination of blood culture and cerebrospinal fluid)
Included: hyperlactatemia, hypoglycemia, coma (BCS ≤2) Excluded: parasitemia, TNF, IL-1α
English 1996 [16]
Prosp
Kenya; pediatric ward
mean age:31 months
350
8.6%
P. falciparum and one or more of the following clinical symptoms: coma, prostration, hyperparasitaemia, respiratory distress
NR
Included: respiratory distress, deep breathing, nasal flaring, acidosis, chest indrawing
English 1997 [17]
Prosp
Kenya; pediatric ward
mean age 31 months
306
8.0%
P. falciparum and one or more of the following clinical syndromes: coma, prostration, hyperparasitaemia, respiratory distress
Death prior to admission assessment
Included: coma score Excluded: respiratory distress, acidosis, hyperparasitemia and prostration, respiratory distress and cerebral malaria
Assimadi 1998 [24]
Prosp
Togo; pediatric ward
0–15 years
549
18.9%
WHO (1995) criteria of severe malaria
NR
Included: renal failure, circulatory collapse, abnormal hemorrhage, jaundice, choluria, prostration, impaired consciousness, respiratory distress, hypoglycemia, convulsions, coma score, severe anemia, acidosis
Modiano 1998 [25]
Prosp
Burkina Faso; pediatric ward
6 months to 15 years
800
13.8%
WHO definition of severe malaria
Other detectable infections or causes
Included: prostration, coma, convulsions, anemia, hypoglycemia, pulmonary edema/respiratory distress, spontaneous bleeding, renal failure
Varandas 2000 [26]
RCT
Mozambique; pediatric ward
6–72 months
559
3.6%
Criteria for cerebral malaria: coma without a directional response to a painful stimulus 6 h after the last convulsion, clear CSF, parasitemia or positive PCR to P. falciparum; other forms of severe malaria: WHO criteria (1990) and confirmed by parasitemia
Children with a history of measles or measles vaccination in the 4 weeks preceding admission, clinical signs of vitamin A deficiency, signs of kwashiorkor or marasmus or other severe diseases
Included: age, respiratory distress on admission, acidotic breathing on admission, inability to localize painful stimulus on admission, convulsions before admission Excluded: maternal education, poor housing, loss of consciousness before admission, convulsions on admission, not-transfused children
Gérardin 2002 [27]
Prosp
Senegal; pediatric ward
0–15 years
215
12.1%
2000 WHO definition of severe malaria
NR
Included: thrombocytopenia Excluded (no differentiation between severe malaria and malaria): light cerebral disorder, cerebral malaria, convulsions, respiratory distress, severe anemia, jaundice, acidosis, hyperparasitemia, hemoglobinuria, renal failure (abnormal bleeding/collapse/pulmonary edema)
Imbert 2003 [28]
Prosp
Senegal; pediatric ward
<15 years
311
9.0%
P. falciparum trophozoites, WHO criteria of severe malaria
Simple malaria cases
Included: impaired consciousness, coma, respiratory distress, convulsions, jaundice, severe anemia, hyperparasitemia, hypoglycemia, prostration, hemoglobinuria, renal failure, shock, abnormal hemorrhage, pulmonary edema, pupillary anomalies, thrombocytopenia, leukocytosis, co-infection, hyperpyrexia Excluded: acidosis
Maitland 2003 [29]
Retro
Kenya; pediatric high-dependency unit
75% <36 months
515
12.8%
P. falciparum, and one or more of the following: prostration, coma, prolonged or recurrent seizures, respiratory distress, circulatory collapse, anemia, jaundice
NR
Included: impaired consciousness, acidosis, severe anemia, jaundice, hypoglycemia, sex, age, wasting, shock, deep breathing, convulsions Excluded: hypoglycemia
Mockenhaupt 2004 [30]
Prosp
Ghana; pediatric ward
6–102 months
285
11.2%
asexual P. falciparum parasitemia, and one or more of the following WHO (2000) criteria: severe anemia, prostration, respiratory distress, multiple convulsions, impaired consciousness, hemoglobinuria, clinical jaundice, circulatory collapse, abnormal bleeding, pulmonary edema
NR
Included: severe anemia, prostration, respiratory distress, convulsions, impaired consciousness, jaundice, circulatory collapse, hemoglobinuria, coma (BCS ≤2), hyperparasitemia, hypoglycemia, hyperlactatemia, hyperpyrexia
Dzeing-Ella 2005 [31]
Prosp
Gabon; tertiary referral center
0–10 years
576
8.9%
Age 0–10 years, more than two asexual forms of P. falciparum on blood film and one or more of the following features: BCS ≤2, convulsions, hyperlactatemia, hypoglycemia, severe anemia
Alternative diagnosis made clinically or by investigation (e.g., CSF examination, chest radiography, blood culture)
Included: coma, respiratory distress, severe anemia, hypoglycemia, hyperlactatemia, convulsions, sex
Gay-Andrieu 2005 [32]
Prosp
Niger; pediatric ward
3–60 months
114
21.0%
P. falciparum and at least one of the following clinical or biological criteria: coma (BCS ≤2), impaired consciousness (BCS >2 and <5), repeated convulsions, prostration, respiratory distress, jaundice, metabolic acidosis, severe anemia, hyperparasitemia, microscopic haemoglobinuria, renal failure, collapse, abnormal bleeding or pulmonary edema
NR
Included: coma, impaired consciousness, convulsions, respiratory distress, severe anemia, hypoglycemia, hyperparasitemia
Maitland 2005 [33]
RCT
Kenya; pediatric high-dependency unit
median age 2.8 years
150
0.1%
Clinical feature of severe malaria (i.e., prostration, coma, or respiratory distress), and P. falciparum parasitemia and metabolic acidosis (base deficit >8 mmol/L) and Hb >50 g/L
Pulmonary edema, edematous malnutrition, papilledema
Included: acidosis
Zeidan 2005 [34]
Prosp, cx
Sudan; IPD
<15 years
543
2.6%
Identification of P. falciparum in blood film and presence of any of combined complications of change of behaviors, confusion or drowsiness, altered consciousness or coma, convulsions, hypoglycemia, acidosis, difficulty in breathing, pulmonary edema, oliguria, acute renal failure, severe anemia (hematocrit <20%, Hb <6 g/dL), haemoglobinuria, jaundice, tendency to bleed, and generalized weakness rendering the patient unable to walk or sit up without assistance
NR
Included: prostration, age, hyperpyrexia, convulsions, leukocytosis, coma Excluded: delays, jaundice, anemia, hepatomegaly, splenomegaly, hypoglycemia, hemoglobinuria, fever, vomiting
Bronzan 2007 [35]
Retro
Malawi; pediatric research ward,
≥6 months
1388
16.0%
Presenting one of three severe malaria syndromes: CM, SMA, or CM with SMA and confirmed by P. falciparum blood film test
Other identifiable causes of coma (such as hypoglycemia, postictal state, and meningitis)
Included: severe anemia, cerebral malaria (BCS ≤2 persisting for >2 hours after other identifiable causes of coma have been excluded), HIV infection
Issifou 2007 [36]
Prosp
Gabon; medical research unit; IPD
1–120 months
2235
3.0%
Age 1–120 months, “non per os” falciparum malaria (patients hospitalized for malaria and treated with intravenous quinine in a 10% glucose infusion)
NR
Included: coma (BCS ≤2), hypoglycemia, severe anemia, respiratory distress
Oduro 2007 [37]
Prosp
Ghana; IPD
6–59 months
868
3.5%
1990 and 2000 WHO severe malaria criteria
NR
Included: coma (BCS <3), severe anemia, respiratory distress, hyperlactatemia, hypoglycemia
Orimadegun 2007 [38]
Retro
Nigeria; tertiary hospital
6 months to 15 years
1806
6.9%
2000 WHO severe malaria criteria
NR
Included: severe anemia, coma (BCS <3), sex Excluded: hypoglycemia, respiratory distress
Bassat 2008 [39]
Retro
Mozambique; district hospital
<15 years
1100
4.4%
Malaria case with at least one of the following criteria: PCV <15%, deep coma (BCS ≤2), prostration, hypoglycemia, convulsions, respiratory distress
Children with malaria parasitaemia for whom the cause of death was not malaria were not considered severe malaria cases
Included: severe anemia, coma, convulsions, hypoglycemia, prostration, respiratory distress, impaired consciousness, jaundice, dehydration
Ranque 2008 [40]
Prosp
Mali; pediatric ward
<15 years
455
16.0%
Fever >38 °C and P. falciparum trophozoites, and no suggestion of other diagnosis; all children diagnosed with CM and/or SMA
NR
Included: fever >4 days, personal history of CM, CM history in siblings, coma score, severe anemia, hypoglycemia, dehydration, spleen enlargement, liver enlargement, prior antimalarial treatment, respiratory distress, age group, sex
Ogetii 2010 [41]
Retro
Kenya; pediatric high-dependency unit
0–12 years
1236
10.5%
P. falciparum parasitemia plus impaired consciousness and/or respiratory distress
Children admitted to the general ward with malaria parasitaemia who deteriorated after admission fulfilling the definition of severe malaria
Included: hypoglycemia
Camara 2011 [42]
Prosp
Senegal; pediatric ward
0–15 years
162
11.1%
Aged 0–15 years, P. falciparum-positive thick drop examination and at least one of the WHO 2000 malaria severity criteria
All children with anti-malarial treatment started less than 72 hours prior to hospitalization
Included: sex, age, impaired consciousness, prostration, respiratory distress, coma, shock, convulsions, jaundice, hypoglycemia, thrombocytopenia, severe anemia, hemoglobinuria
Hendrikson 2012 [15]a
RCT
Mozambique; tertiary referral hospital
<15 years
655
10.9%
Children (<15 years) with suspected severe malaria according to modified WHO clinical criteria, positive pLDH-based RDT
If treated parenterally for >24 hours before admission
Included: HIV infection
Hendriksen 2012 [14]a
RCT
Mozambique, Gambia, Kenya, Tanzania, Uganda, Rwanda, DRC; pediatric wards
1 month to 15 years
3826
9.9%
Positive P. falciparum histidine-rich protein two-based rapid test (Optimal), and at least one of coma, prostration, convulsions, compensated shock, decompensated shock, severe respiratory distress, hypoglycemia, severe symptomatic anemia, blackwater fever, clinical jaundice, hyperparasitemia
If treated parenterally for >24 hours before admission
Included: acidosis, severe anemia, hypoglycemia, hyperparasitemia Excluded: respiratory distress, coma, convulsions, jaundice, shock, black water fever
Jallow 2012 [18]
Prosp obser
Gambia; pediatric ward
4 months to 14 years
2901
13.0%
Asexual P. falciparum parasitemia, and one or more of the following WHO criteria for severe malaria: severe anemia, respiratory distress, hypoglycemia, decompensated shock, repeated convulsion, acidosis, hyperlactatemia
NR
Included: acidosis, coma score, convulsions, severe anemia, hyperalactatemia, hyperparsitemia, hyperpyrexia, hypoglycemia, impaired consciousness, deep breathing, jaundice, liver enlargement, prostration, renal failure, respiratory distress, shock, spleen enlargement
von Seidlein 2012 [13]a
RCT
Gambia, Mozambique, Nigeria, Rwanda, Kenya, DRC, Tanzania, Ghana, Uganda; pediatric wards
<15 years
5426
9.7%
Positive P. falciparum histidine-rich protein two-based rapid test (Optimal), and at least one of coma, prostration, convulsions, compensated shock, decompensated shock, severe respiratory distress, hypoglycemia, severe symptomatic anemia, blackwater fever, clinical jaundice, hyperparasitemia
If treated parenterally for >24 hours before admission
Included: convulsions, prostration, coma shock, respiratory distress, deep breathing, jaundice, chronic disease, sex, black water fever Excluded: blood urea nitrogen, base excess, pH, respiratory rate, parasite density, hemoglobin, glucose level, temperature, age, heart rate
Kendjo 2013 [19]b
Prosp, cx
Sub-Saharan Africa; hospital research centres
<15 years
26 296
4.3%
Severe P. falciparum malaria
NR
Included: seizures prior to admission, vomiting prior to admission, deep breathing, indrawing, irregular breathing, prostration, coma, hyperparasitemia, severe anemia, hypoglycemia Excluded: hyperlactatemia
Orimadegun 2014 [43]
Prosp, cx
Nigeria; tertiary hospital
<5 years
369
8.1%
P. falciparum malaria parasitaemia confirmed with blood film microscopy and the presence of any of the defined life-threatening features for malaria according to WHO (2000)
Children who had clinical signs suggestive of cardiac defect and those whose parents refused consent
Included: severe anemia, hyperparasitemia, acidosis, hemoglobinuria, hypoglycemia, coma score, renal impairment, hypoxia Excluded: hypokalemia, hyponatremia, pneumonia, azotemia, wasting
aReferral study: Dondorp 2010 [5]
bReferral study: Helbok 2009 [10]
Excluded prognostic indicators: not enough data to construct two-by-two tables
BCS Blantyre coma scale, CM cerebral malaria, CSF cerebrospinal fluid, Cx cross-sectional, IPD In-patient department, NR not reported, Obs observational, pLDH parasite lactate dehydrogenase, Prosp prospective, Retro retrospective, RCT randomized clinical trial, RDT rapid diagnostic test, SMA severe malarial anemia, WHO World Health Organization
Table 2
Quality assessment according to the QUADAS-2 tool: potential bias and applicability concerns of included studies (without referral studies)
 
Risk of bias
Applicability concerns
Patient selection
Clinical predictors of mortality
Laboratory predictors of mortality
Reference standard
Flow and timing
Patient selection
Clinical predictors of mortality
Laboratory predictor of mortality
Reference standard
Krishna et al. (1994) [23]
Low
Low
Low
Low
Low
High
Low
Low
Low
English et al. (1996) [16]
Low
Low
Low
Low
Low
Low
Low
Low
Low
English et al. (1997) [17]
High
Low
NA
Low
Low
Unclear
High
NA
Low
Assimadi et al. (1998) [24]
Low
High
High
Low
Low
Low
High
High
Low
Modiano et al. (1998) [25]
Low
Unclear
Low
Low
Low
Low
Unclear
Low
Low
Varandas et al. (2000) [26]
High
Low
NA
Low
Low
Low
Low
NA
Low
Gérardin et al. (2002) [27]
Low
Low
Low
Low
Low
Low
Low
Low
Low
Imbert et al. (2003) [28]
Low
Low
Low
Low
Low
Low
Low
Low
Low
Maitland et al. (2003) [29]
Low
Low
Low
Low
Low
Low
Low
Unclear
Low
Mockenhaupt et al. (2004) [30]
Low
Low
Low
Low
Low
Low
Low
Low
Low
Dzeing-Ella et al. (2005) [31]
Low
Low
Low
Low
Low
Low
Low
Low
Low
Gay-Andrieu et al. (2005) [32]
High
Unclear
Low
Low
Low
High
Unclear
Low
Low
Maitland et al. (2005) [33]
High
NA
Low
Low
Low
High
NA
Low
Low
Zeidan et al. (2005) [34]
Low
Low
Low
Low
Low
Low
Low
Low
Low
Bronzan et al. (2007) [35]
High
Low
Low
Low
Low
High
Low
Low
Low
Issifou et al. (2007) [36]
High
Low
Low
Low
Low
Unclear
Low
Low
Low
Oduro et al. (2007) [37]
High
Low
Low
Low
Low
Low
Unclear
Unclear
Low
Orimadegun et al. (2007) [38]
High
Unclear
Unclear
Low
Low
Low
Low
Low
Low
Bassat et al. (2008) [39]
Low
Low
Low
Low
Low
Low
Low
Low
Low
Ranque et al. (2008) [40]
High
Low
Low
Low
Low
High
Low
Low
Low
Ogetii et al. (2010) [41]
Low
NA
Low
Low
Low
Low
NA
Low
Low
Camara et al. (2011) [42]
Low
Unclear
Unclear
Low
Low
Low
Low
Unclear
Low
Hendriksen et al. (2012) [15]
Low
NA
Low
Low
Low
Low
NA
Low
Low
Hendriksen et al. (2012) [14]
Low
Low
Low
Low
Low
Low
Low
Low
Low
Jallow et al. (2012) [18]
Low
Low
Low
Low
High
Low
Low
Low
Low
von Seidlein et al. (2012) [13]
Low
Low
Low
Low
Low
Low
Low
Low
Low
Kendjo et al. (2012) [19]
Low
Low
Low
Low
High
High
Low
Low
Low
Orimadegun et al. (2014) [43]
Low
Low
Low
Low
Low
Low
Low
Low
Low
NA not applicable
A total of 36 different prognostic indicators associated with death due to severe malaria were identified in 30 studies. The number of predictors of mortality evaluated per study ranged from 1 to 19 (median 6.5, interquartile range 3–11). Out of 36 identified prognostic indicators, 18 corresponded with the clinical criteria of severe malaria established by the WHO. Two forest plots displaying pooled estimates of ORs with 95% confidence intervals (CI) calculated for 17 and 18 prognostic indicators included in the WHO definition of severe malaria are captured in Figs. 2 and 3, respectively. Definitions and further characteristics of the analyzed prognostic indicators are assembled in Table 3.
Table 3
Characteristics of assessed WHO prognostic indicators
Predictor of mortality
Definition
N assessed
N with the condition
N died
Pooled PPV
Odds ratio (meta-analysis)
Study reference
Neurological symptoms and signs
Convulsions
≥2/24 hours
8197
2252
772
14.7%
2 (1.71–2.34)
von Seidlein 2012 [13]; Bassat 2008 [39]; Mockenhaupt 2004 [30]; Imbert 2003 [28]; Gay-Andrieu 2005 [32]; Camara 2011 [42]; Modiano 1998 [25]
Convulsionsa
≥2/24 hours
34233
10573
1901
8.1%
1.94 (1.76–2.13)
von Seidlein 2012 [13]; Bassat 2008 [39]; Mockenhaupt 2004 [30]; Imbert 2003 [28]; Gay-Andrieu 2005 [32]; Camara 2011 [42]; Modiano 1998 [25]; Kendjo 2013 [19]
Coma score
BCS ≤2
16796
1675
4881
21.3%
4.83 (3.11–7.5)
Krishna 1994 [23]; von Seidlein 2012 [13]; Ranque 2008 [40]; Orimadegun 2007 [38]; Oduro 2007 [37]; Mockenhaupt 2004 [30]; Jallow 2012 [18]; Issifou 2007 [36]; Gay-Andrieu 2005 [32]; English 1997 [17]; Dzeing-Ella 2005 [31]; Bassat 2008 [39]; Camara 2011 [42]; Bronzan 2007 [35]; Orimadegun 2014 [43]
Coma scorea
BCS ≤2
42832
7316
2804
20.7%
5.04 (3.35–759)
Krishna 1994 [23]; von Seidlein 2012 [13]; Ranque 2008 [40]; Orimadegun 2007 [38]; Oduro 2007 [37]; Mockenhaupt 2004 [30]; Jallow 2012 [18]; Issifou 2007 [36]; Gay-Andrieu 2005 [32]; English 1997 [17]; Dzeing-Ella 2005 [31]; Bassat 2008 [39]; Camara 2011 [42]; Bronzan 2007 [35]; Orimadegun 2014 [43]; Kendjo 2013 [19]
Impaired consciousness
BCS 3–4
276
95
42
9.5%
0.58 (0.25–1.37)
Gay-Andrieu 2005 [32]; Camara 2011 [42]
Prostration
Cannot sit OR cannot eat (breastfeed) OR cannot walk OR cannot stand up
11607
6452
1176
8.3%
1.12 (0.45–2.82)
Jallow 2012 [18]; Zeidan 2005 [34]; von Seidlein 2012 [13]; Mockenhaupt 2004 [30]; Imbert 2003 [28]; Camara 2011 [42]; Bassat 2008 [39]; Assimadi 1998 [24]; Modiano 1998 [25]
Prostrationa
Cannot sit OR cannot eat (breastfeed) OR cannot walk OR cannot stand up
37643
22322
2305
7.0%
1.42 (0.39–5.14)
Jallow 2012 [18]; Zeidan 2005 [34]; von Seidlein 2012 [13]; Mockenhaupt 2004 [30]; Imbert 2003 [28]; Camara 2011 [42]; Bassat 2008 [39]; Assimadi 1998 [24]; Modiano 1998 [25]; Kendjo 2013 [19]
Respiratory symptoms and signs
Deep breathing
NR
9106
1230
965
22.2%
3.8 (3.29–4.39)
von Seidlein 2012 [13]; Maitland 2003 [29]; English 1996 [16]; Varandas 2000 [26]; Jallow 2012 [18]
Deep breathinga
NR
32882
4049
1772
19.1%
4.89 (3.28–7.29)
von Seidlein 2012 [13]; Maitland 2003 [29]; English 1996 [16]; Varandas 2000 [26]; Jallow 2012 [18]; Kendjo 2013 [19]
Indrawinga
NR
26386
3137
1159
13.3%
4.63 (4.08–5.25)
English 1996 [16]; Kendjo 2013 [19]
Respiratory distress
Nasal flaring or costal indrawing or accessory muscle use OR Kussmal breathing/Cheyne–Stokes breathing OR deep breathing OR abnormalities in respiratory rate/rhythm OR dyspnea OR pulmonary edema
15343
3729
1526
17.5%
3.15 (2.79–3.35)
Jallow 2012 [18]; von Seidlein 2012 [13]; Ranque 2008 [40]; Oduro 2007 [37]; Mockenhaupt 2004 [30]; Issifou 2007 [36]; Imbert 2003 [28]; Gay Andrieu 2005 [32]; English 1996 [16]; Dzeing-Ella 2005 [31]; Camara 2011 [42]; Bassat 2008 [39]; Assimadi 1998 [24]; Varandas 2000 [26]; Modiano 1998 [25]
Cardiovascular symptoms and signs
Shock/circulatory collapse
SBP <50 OR compensated shock (BP ≥70 + CRT ≥3 s) and decompensated (BP <70) OR SBP <60 in ≤5-year-old children OR SBP <80 in >5-year-old children OR septic shock score ≥2
7567
915
789
23.6%
4.31 (2.15–8.64)
Jallow 2012 [18]; von Seidlein 2012 [13]; Mockenhaupt 2004 [30]; Maitland 2003 [29]; Imbert 2003 [28]; Assimadi 1998 [24]; Camara 2011 [42]
Abnormalhemorrhage
NR
1349
17
199
23.5%
1.84 (0.6–5.67)
Assimadi 1998 [24]; Modiano 1998 [25]
Jaundice
Jaundice
 
11178
599
1203
17.4%
1.65 (1.31–2.07)
Jallow 2012 [18]; von Seidlein 2012 [13]; Mockenhaupt 2004 [30]; Maitland 2003 [29]; Imbert 2003 [28]; Camara 2011 [42]; Bassat 2008 [39]; Assimadi 1998 [24]
Renal symptoms and signs
Hemoglobinuria
Verified by dipstick
7102
286
739
11.5%
1.84 (0.75–4.52)
Mockenhaupt 2004 [30]; Imbert 2003 [28]; Assimadi 1998 [24]; Camara 2011 [42]; Orimadegun 2014 [43]; von Seidlein 2012 [13]
Laboratory values of severe malaria in selected studies
Acidosis
BE < –8 mmol/L OR base deficit >15 OR BE < –12 mmol/L (all)
6549
2392
646
15.1%
3.32 (1.35–8.18)
Hendriksen 2012 [14]; Maitland 2005; Jallow 2012 [18]; Maitland 2003 [29]; English 1996 [16], Assimadi 1998 [24]; Orimadegun 2014 [43]
Severe anemia
Hematocrit <15% or Hb <5 g/dL
14078
5039
1406
8.2%
0.76 (0.50–1.13)
Jallow 2012 [18]; Hendriksen 2012 [14]; Camara 2011 [42]; Bassat 2008 [39]; Ranque 2008 [40]; Orimadegun 2007 [38]; Mockenhaupt 2004 [30]; Maitland 2003 [29]; Issifou 2007 [36]; Gay-Andrieu 2005 [32]; Dzeing-Ella 2005 [31]; Imbert 2003 [28]; Modiano 1998 [25];
Severe anemiaa
Hematocrit <15% or Hb <5 g/dL
40114
10418
2535
7.4%
0.81 (0.55–1.21)
Jallow 2012 [18]; Hendriksen 2012 [14]; Camara 2011 [42]; Bassat 2008 [39]; Ranque 2008 [40]; Orimadegun 2007 [38]; Mockenhaupt 2004 [30]; Maitland 2003 [29]; Issifou 2007 [36]; Gay-Andrieu 2005 [32]; Dzeing-Ella 2005 [31]; Imbert 2003 [28]; Modiano 1998 [25]; Kendjo 2013 [19]
Hyperlactatemia
Lactate ≥5 mmol/L or NR
2188
773
183
14.7%
3.76 (1.96–7.23)
Jallow 2012 [18]; Krishna 1994 [23]; Oduro 2007 [37]; Mockenhaupt 2004 [30]; Dzeing-Ella 2005 [31]
Hyperparasitemia
Hyperparsitemia >10% ([14]) or hyperparasitemia >4% ([32]) or parasitemia ≥250,000 p/μL ([43]) or P. falciparum parasite density >500,000/μL ([18])
7735
1164
873
13.2%
1.37 (1.13–1.66)
Jallow 2012 [18]; Hendriksen 2012 [14]; Mockenhaupt 2004 [30]; Imbert 2003 [28]; Gay-Andrieu 2005 [32]; Orimadegun 2014 [43]
Hyperparasitemiaa
Hyperparsitemia > 10% ([14]) or hyperparasitemia >4% ([32]) or parasitemia ≥250,000 p/μL ([19, 43]) or P. falciparum parasite density >500,000/μL ([18])
33771
6123
2002
6.5%
1.24 (1.11–1.4)
Jallow 2012 [18]; Hendriksen 2012 [14]; Mockenhaupt 2004 [30]; Imbert 2003 [28]; Gay-Andrieu 2005 [32]; Orimadegun 2014 [43]; Kendjo 2013 [19]
Hypoglycemia
Glucose <2.2 mmol/L
6358
37
48
16.2%
4.59 (2.68–7.89)
Jallow 2012 [18]; Krishna 1994 [23]; Imbert 2003 [28]; Mockenhaupt 2004 [30]; Issifou 2007 [36]; Gay-Andrieu 2005 [32]; Dzeing-Ella 2005 [31]; Camara 2011 [42]; Bassat 2008 [39]; Modiano 1998 [25]
Hypoglycemiaa
Glucose <2.2 mmol/L
31348
2933
2662
45.4%
4.81 (2.93–7.91)
Jallow 2012 [18]; Krishna 1994 [23]; Imbert 2003 [28]; Mockenhaupt 2004 [30]; Issifou 2007 [36]; Gay-Andrieu 2005 [32]; Dzeing-Ella 2005 [31]; Camara 2011 [42]; Bassat 2008 [39]; Modiano 1998 [25]; Kendjo 2013 [19]
Renal failure
Urine output of <12 mL/kg/24 hours and serum creatinine >265 μL/L over OR plasma creatinine >3 mg/dL
4757
32
547
40.6%
5.96 (2.93–12.11)
Jallow 2012 [18]; Imbert 2003 [28]; Assimadi 1998 [24]; Modiano 1998 [25]; Orimadegun 2014 [43]
Other symptoms and signs
Hyperpyrexia
>40 °C OR ≥40 °C
3946
125
919
24.8%
0.59 (0.11–3.19)
Jallow 2012 [18]; Zeidan 2005 [34]; Mockenhaupt 2004 [30]; Imbert 2003 [28]
aIncluding the Severe Malaria in African Children studies.
BE base excess, BCS Blantyre coma scale, BP blood pressure, CRT capillary refill time, HB hemoglobin, NR not reported, PPV positive predictive value, SBP systolic blood pressure
Prognostic indicators with the strongest association with death included renal failure (5.96, 95% CI 2.93–12.11), coma (4.83, 95% CI 3.11–7.5), hypoglycemia (4.59, 95% CI 2.68–7.89), shock (4.31, 95% CI 2.15–8.64), and deep breathing (3.8, 95% CI 3.29–4.39). These five indicators also had the largest CI boundaries. Respiratory distress, while having a lower OR than the five indicators mentioned above, presented a narrower CI and lower CI boundaries in line with five top indicators (3.15, 95% CI 2.79–3.35). Moreover, the results were also consistent upon introduction of the SMAC study, with each association being slightly larger than without the SMAC, while the association with death of the top indicators was more homogeneous for renal failure (5.96, 95% CI 2.93–12.11), coma (5.04, 95% CI 3.35–7.59), deep breathing 4.89 (95% CI 3.28–7.29), hypoglycemia (4.81, 95% CI 2.93–7.91), and chest indrawing (4.63, 95% CI 4.08–5.25). The latter entered the top five indicators (in place of shock) and also presented the lower CI boundary (>4).
Two or more convulsions (2.0, 95% CI 1.71–2.34) were also associated with poor outcome. However, further neurological signs, such as prostration (1.12, 95% CI 0.45–2.82) and impaired consciousness (0.58, 95% CI 0.25–1.37) were not associated with death. These results are comparable to those after inclusion of the SMAC study, namely convulsions (1.94, 95% CI 1.76–2.13) and prostration (1.42, 95% CI 0.39–5.14). Neither severe anemia, with and without the SMAC studies (0.81, 95% CI 0.55–1.21 vs. 0.76, 95% CI 0.50–1.13, respectively) nor hyperpyrexia (1.19, 95% CI 0.71–1.99) were associated with death.

Discussion

The results of the meta-analysis show that there is a large variation in the strength of the association between the different WHO-defined criteria of severe malaria and death. Renal failure, coma, hypoglycemia, shock, and respiratory distress represent those with the highest prognostic value. These manifestations were also those with the highest prognostic value for death in the original paper by Marsh [12], which was supportive of the WHO definition of severe malaria. Similarly, impaired consciousness, prostration, hyperpyrexia, hyperparasitaemia, and severe anemia were weak predictors both in the present systematic review and in Marsh’s paper [12]. While 5039 (35.7%) of children from the enclosed studies suffered from severe anemia, its association with death, though widely acknowledged, was insignificant. This can possibly be explained by the fact that anemic children receive blood transfusion upon admission or by the lack of other concomitant feature such as respiratory distress or neurological impairment. On the other hand, hypoglycemia, which similarly to severe anemia could be reversed if early detected, remains a significant marker of severity, which can be possibly explained by its dependency on other severe markers. Conditions such as malnutrition or HIV co-infection have not been addressed in this analysis since they are not part of the definition of severe malaria. They are, however, very important contributors of mortality and should definitively be considered together with other clinical features when assessing a sick child.
The current systematic review recognizes coma (defined as Blantyre coma scale (BCS) ≤ 2) and deep breathing as robust prognostic factors of pediatric life-threatening malaria that can simply be determined and recorded by skilled observers in all types of settings. Deep breathing, as a crucial respiratory sign of severe malaria, is commonly a compensatory manifestation of underlying metabolic acidosis [44] and is more predictive than respiratory distress accompanied by signs of variable severity. These findings are nearly in line with the results from a prospective study [12] of 1844 patients in Kenya, which identified respiratory distress and impaired consciousness (defined as prostration or coma) as highly associated with death and, except for prostration, with the Lambaréné Organ Dysfunction Score, which combines coma, prostration, and deep breathing [10].
Although there is no definite consensus regarding the strongest predictors of death within the WHO clinical definition of severe malaria, the WHO distinguished three groups [1] classing clinical and laboratory features of the disease in a way to facilitate appropriate treatment. A major contrast of our results with the clinical features included in the WHO Group 1 symptoms (prostrate but conscious, prostrate with impaired consciousness, coma, mild/severe respiratory distress, shock), which are supposedly more severe and for which parenteral treatment is recommended, is that a child with prostration or impaired consciousness appears to be at a low risk of death when compared with the presence of any other listed signs and symptoms. One possible explanation for this unexpected finding is that, in some studies, the definition of impaired consciousness was less stringent than that of the WHO (BCS < 3). Interestingly, in the differentiated group of 1289 Gabonese children, Issifou et al. [36] applied a BCS between 3 and 4 to classify cases of moderate malaria. On the other hand, our findings are consistent with the WHO Group 2 clinical features (severe anemia, two or more convulsions in past 24 hours, hemoglobinuria, jaundice), which indicate a disease of lower severity and for which a supervised oral therapy is recommended.
The present attempt to rank clinical features according to their prognostic values was performed to potentially better distinguish children that should definitely be receiving parenteral treatment versus those that could be considered for prompt oral treatment with artemisinin-based combinations. At present, the WHO recommends injectable artesunate for all children with asexual forms of P. falciparum in peripheral blood and at least one criterion of severity [45]. In the light of the very different prognostic values of the different features, Kopel et al. [46] suggested that oral treatment could be a successful alternative for patients with a detected parasitemia and a criterion considered as less severe, e.g., jaundice. Certainly, all prognostic indicators that are able to be detected at the bedside need to be searched for, and finding a low-prognostic symptom or sign does not remove the need for parenteral treatment if a high-prognostic one is present. Identifying a subset of patients with moderately severe malaria who could be safely managed with oral treatment at the primary care level would simplify the patients’ management in settings where referral to hospital for injectable treatment is difficult, and allow better resources allocation. A simplified approach may be easier to implement. Already, in settings where laboratory facilities are unavailable, the laboratory tests used to define severe malaria are not considered in the classification of the disease. This new approach should be carefully assessed in a prospective multicentric clinical trial to demonstrate its safety.
To our knowledge, this is the first systematic review and meta-analysis of predictors of death drawn from all relevant studies of African children with strictly defined severe malaria. Methodological quality was assessed by using a priori adjusted and defined rules of the latest version of QUADAS-2 tool, which allowed better evaluation of risk of biases in several domains. In addition, this review assessed the disease severity criteria used in the SMAC studies [19]. Indeed, this represents the largest sample size ever recruited. The fact that the results did not change much when including or not prognostic indicators from the SMAC studies increases the robustness of the findings.
The main limitation of our analysis comes from the methodological or reporting weaknesses of some studies, of which the most important one is the lack of reproducibility of reported clinical symptoms and signs. Indeed, the inter-observer (clinician) agreement on the assessment of some of the signs, such as impaired consciousness or prostration for example, can be very low. Additionally, heterogeneity between studies regarding availability of laboratory data, threshold used to define abnormality, and quality of healthcare, especially with regards to blood transfusion and management of renal failure, need to be taken into account in results interpretation. Another limitation of our review is that it did not consider combinations of clinical and laboratory features of severe malaria because of the unavailability of individual records. It has been shown that having more than one manifestation of severe malaria increases the risk of dying [13] and this has to be taken into account in a child assessment of severity, and hence in case management. Furthermore, due to lack of data in the included studies, this meta-analysis could not explore the impact of other concurrent complications that do not form part of the definition of severe malaria but are known for increasing the risk of death such as, for example, bacteremia. In addition, since all data were aggregated in each study, we were not able to analyze predictors by age group or sex. This should not alter much the relevance of our findings since approximately 80% patient population was < 5 years of age and WHO has never considered a differential definition of severe malaria for children and adults or male and female. Finally, studies reporting less than 100 cases were excluded to reduce complexity, but some of those could have brought relevant information.

Conclusion

In conclusion, the findings of this meta-analysis show that the strength of association between the criteria defining severe malaria and death is quite variable for each clinical and/or laboratory features (OR ranging from 0.58 to 5.96). Despite the heterogeneity of entry criteria, the individual studies provided concordant results. A ranking allowed the identification of features weakly associated with death, such as impaired consciousness and prostration, which could assist to refine case definition and thus optimize antimalarial treatment.

Acknowledgements

Not applicable.

Funding

No specific funding was available for this work.

Availability of data and materials

The dataset for statistical analysis has been deposited in the Zenodo (www.​zenodo.​org) and can be found at https://​doi.​org/​10.​5281/​zenodo.​820626.
Not applicable.
Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

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Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated.
Anhänge

Appendix

Criteria for study selection

Design: Epidemiological, clinical, and treatment studies on malaria were selected. Controlled trials, non-controlled trials, cohort studies, case control studies, and case series, either prospective or retrospective of 100 cases or more, were accepted. Systematic reviews, meta-analyses, letters, editorials, and comments were used only as a source of reference.
Setting: Studies conducted in Africa.
Participants: Studies that included children below the age of 15 with severe malaria according to the WHO definitions, with or without modified criteria. The cases needed to be diagnosed with parasitological confirmation defined as parasite identification by smear or as a positive rapid diagnostic test.
Outcome: Studies that reported death rate.
Prognostic indicators: Studies that reported clinical and laboratory variables associated with death due to malaria.
Reference standard: any reported death from admission to end of follow-up.
Data reporting: Studies that allow the reconstruction of two-by-two tables made up of death rate and prognostic indicators of death. When necessary, authors were contacted to obtain missing data.
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Metadaten
Titel
Clinical and laboratory predictors of death in African children with features of severe malaria: a systematic review and meta-analysis
verfasst von
Paulina Sypniewska
Jose F. Duda
Isabella Locatelli
Clotilde Rambaud Althaus
Fabrice Althaus
Blaise Genton
Publikationsdatum
01.12.2017
Verlag
BioMed Central
Erschienen in
BMC Medicine / Ausgabe 1/2017
Elektronische ISSN: 1741-7015
DOI
https://doi.org/10.1186/s12916-017-0906-5

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