Group A Streptococcus is responsible for severe and potentially lethal invasive conditions requiring intensive care unit (ICU) admission, such as streptococcal toxic shock-like syndrome (STSS). A rebound of invasive group A streptococcal (iGAS) infection after COVID-19-associated barrier measures has been observed in children. Several intensivists of French adult ICUs have reported similar bedside impressions without objective data. We aimed to compare the incidence of iGAS infection before and after the COVID-19 pandemic, describe iGAS patients’ characteristics, and determine ICU mortality associated factors.
Methods
We performed a retrospective multicenter cohort study in 37 French ICUs, including all patients admitted for iGAS infections for two periods: two years before period (October 2018 to March 2019 and October 2019 to March 2020) and a one-year after period (October 2022 to March 2023) COVID-19 pandemic. iGAS infection was defined by Group A Streptococcus isolation from a normally sterile site. iGAS infections were identified using the International Classification of Diseases and confirmed with each center's microbiology laboratory databases. The incidence of iGAS infections was expressed in case rate.
Results
Two hundred and twenty-two patients were admitted to ICU for iGAS infections: 73 before and 149 after COVID-19 pandemic. Their case rate during the period before and after COVID-19 pandemic was 205 and 949/100,000 ICU admissions, respectively (p < 0.001), with more frequent STSS after the COVID-19 pandemic (61% vs. 45%, p = 0.015). iGAS patients (n = 222) had a median SOFA score of 8 (5–13), invasive mechanical ventilation and norepinephrine in 61% and 74% of patients. ICU mortality in iGAS patients was 19% (14% before and 22% after COVID-19 pandemic; p = 0.135). In multivariate analysis, invasive mechanical ventilation (OR = 6.08 (1.71–21.60), p = 0.005), STSS (OR = 5.75 (1.71–19.22), p = 0.005), acute kidney injury (OR = 4.85 (1.05–22.42), p = 0.043), immunosuppression (OR = 4.02 (1.03–15.59), p = 0.044), and diabetes (OR = 3.92 (1.42–10.79), p = 0.008) were significantly associated with ICU mortality.
Conclusion
The incidence of iGAS infections requiring ICU admission increased by 4 to 5 after the COVID-19 pandemic. After the COVID-19 pandemic, the rate of STSS was higher, with no significant increase in ICU mortality rate.
The members of the ISTRE Group are listed in the Acknowledgements section.
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Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
AKI
Acute kidney injury
CKD
Chronic kidney disease
CNIL
French National Commission on Informatics and Liberty
COPD
Chronic obstructive pulmonary disease
eGFR
Estimated glomerular filtration rate
GAS
Group A Streptococcus
HR
Hazard ratio
ICU
Intensive care unit
iGAS
Invasive group A streptococcal
IMV
Invasive mechanical ventilation
IQR
Interquartile range
ISTRE
Infections invasives à STreptocoque du groupe A en RÉanimation
IVIG
Intravenous immunoglobulin
LRTI
Lower respiratory tract infections
NSAID
Non-steroidal anti-inflammatory drugs
RRT
Renal replacement therapy
RSV
Respiratory syncytial virus
SD
Standard deviation
SOFA
Sequential Organ Failure Assessment
SSTI
Skin and soft tissue infections
STSS
Streptococcal toxic shock-like syndrome
VA-ECMO
Veno-arterial extracorporeal membrane oxygenation
WHO
World Health Organization
Background
Streptococcus pyogenes, also called group A Streptococcus (GAS), is a Gram-positive bacterium responsible for human diseases ranging from pauci-symptomatic superficial infections (pharyngitis, impetigo) to severe and potentially lethal, invasive conditions (necrotizing fasciitis or streptococcal toxic shock-like syndrome [STSS]) named invasive group A streptococcal (iGAS) infections [1]. In 2005, the World Health Organization (WHO) reported an estimated 18 million cases of severe GAS infections and more than 500,000 deaths per year [2]. More severe iGAS infections require admission to intensive care unit (ICU) and are associated with a high mortality rate (more than 50% in STSS patients) [2].
The risk factors for iGAS infection are numerous. Diabetes, cardiac disease, and acute kidney injury (AKI) are associated with an increased risk of invasive GAS disease [3‐5]. Also, children, the immunocompromised (HIV infection, malignancy), and older patients are at the most significant risk of iGAS infections. Moreover, the management of iGAS infections is debated. Early surgical source control (debridement of necrotic tissue, surgical drainage) is a vital management part [6]. The use of adjunctive clindamycin may improve outcomes because of its antitoxin effects and excellent tissue penetration, even in patients without STSS or necrotizing fasciitis [7]. At present, there is a lack of data about intravenous immunoglobulin (IVIG) use and consensus about linezolid for the treatment of iGAS infection [8, 9].
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Since September 2022, European countries and the United States have been affected by increased pediatric cases of iGAS infections and pediatric iGAS infections requiring admission to ICU [10, 11]. Still, most reported cases, whether they are associated with STSS or not, are superinfections of viral (influenza or respiratory syncytial virus [RSV]) respiratory infections, as previously reported [12, 13]. It seems to result from a rebound after barrier measures in children whose immune system has not been in contact with commonly circulating GAS strains [14].
After the COVID-19 pandemic, a Danish study [15] reported an abnormally high incidence of GAS meningitis in adults (11 cases) along with another study describing 4 cases of severe iGAS infections, some of which in adults, in Nederland [16].
Recently, several intensivists of French adult ICUs reported concerns about an increase in iGAS infection incidence, reporting mostly skin and soft tissue infections (SSTI) and lower respiratory tract infections (LRTI). On March 2023, the French Public Health Agency published in its report a relative stability of severe iGAS infections in adults but an increase in the frequency of STSS and LRTIs linked to GAS in this population [14].
Nevertheless, to date, no objective data support this bedside impression. The ISTRE (Infections invasives à STreptocoque du groupe A en RÉanimation) study aims to compare the incidence of iGAS infection requiring admission to the ICU before and after the COVID-19 pandemic. It also aims to describe iGAS patients’ characteristics, treatments, and outcomes and determine associated factors with ICU mortality.
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Methods
Study design
We conducted a retrospective multicenter study in 37 ICUs in France. Of 89 ICUs in metropolitan France that were invited to participate in the ISTRE retrospective multicenter study, 37 accepted (Additional file 2: Fig. S1). The patients’ data were routinely collected in dedicated electronic health records during their hospital stay. Enrollment and collection of hospitalization dates were completed retrospectively. The manuscript was prepared according to the STROBE guidelines for observational studies.
Patients
Patients were enrolled if they were 18 years or older, admitted to ICU and developed confirmed iGAS infection for three 6-month periods (October 1st to March 31st): 2 periods before (2018–2019 and 2019–2020) and 1 period after (2022–2023) the COVID-19 pandemic. No statistical sample size was calculated in the absence of relevant data to predict the outcome. However, anticipating that fewer iGAS infection would have occurred in the pre-COVID-19 period compared to the post-COVID-19 period, and to increase the statistical power of the analysis, we included patients over two 6-month periods in the before COVID-19 study period. iGAS infections were identified by searching the hospital databases for codes A.40.0 and B.95.0 in the International Classification of Diseases-10th revision and were confirmed with the microbiology laboratory databases in each center. iGAS infections were defined by GAS isolation from a normally sterile site (blood, CSF, joint fluid, pleural fluid, peritoneal fluid, tissue, urine, intra-operative pus or internal swab). There were no exclusion criteria. For patients with multiple ICU admissions, only the first ICU stay was considered.
The incidence of iGAS infections was expressed in case rate or person-time rate [17] (number of incident events divided by the cumulative at-risk time in the sample: a time-constant incidence hazard): number of iGAS infections during period of interest divided by 100,000 ICU admissions for period [18].
Clinical variables and outcomes
Immunosuppression was defined as chronic use of immunosuppressive drugs, corticosteroid therapy (≥ 2 mg/kg per day or ≥ 20 mg daily of prednisone for more than 14 days), cancer or hematologic malignancy, and chronic kidney disease (CKD) as an estimated glomerular filtration rate (GFR) of < 60 mL/min/1.73m2, persisting for at least 3 months corresponding to CKD stage 3 or more according to the KDIGO classification [19].
Patients’ characteristics on 24 first hours of ICU admission included age, gender, body mass index, chronic comorbidities (e.g., hypertension, diabetes mellitus, stroke, immunosuppression, ischemic cardiomyopathy, chronic obstructive pulmonary disease (COPD) and asthma, CKD, alcohol and tobacco use, and non-steroidal anti-inflammatory drugs (NSAID).
Patients’ presentation was characterized by the Sequential Organ Failure Assessment (SOFA) score calculated based on the worst clinical and laboratory values recorded on Day 1, STSS according to the Working Group on Severe Streptococcal Infections definition [20] (Additional file 1), septic shock according to Third International Consensus Definitions [21], AKI occurrence (using the worst serum creatinine or diuresis) during the ICU stay and minimum diuresis defined by the minimum diuresis/kg/h according to KDIGO classification, and routine laboratory parameters [22]. The day of ICU admission is considered day 0, and the following calendar day is day 1.
Patients’ care was recorded from ICU admission to discharge: antimicrobial therapy, surgical source control requirement, life-sustaining therapies including invasive mechanical ventilation (IMV), vasoactive drugs (norepinephrine and dobutamine), renal replacement therapy (RRT), and veno-arterial extracorporeal membrane oxygenation (VA-ECMO).
Patients’ outcomes consisted of ICU and hospital length of stay and mortalities.
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Statistical analysis
Descriptive statistics included mean ± standard deviation (SD) or median [interquartile range (IQR)] if the variable did not fit a normal distribution. Quantitative variables were compared using a Mann–Whitney test. Qualitative variables were compared using Fisher’s exact test.
Univariate comparison was performed using linear logistic regression (all variables fit normal distribution). Independent variables with a p value < 0.20 in the univariate analysis were considered for inclusion in the multivariate analysis using linear logistic regression.
For both regression analyses, we excluded the “renal replacement therapy” variable due to collinearity with the “acute kidney injury” variable.
We applied a backward stepwise selection for period, age, diabetes, immunosuppression, infection site, STSS, invasive mechanical ventilation, dobutamine use and acute kidney injury to identify factors significantly associated with ICU mortality in iGAS patients.
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We applied a backward stepwise selection for age, diabetes, immunosuppression, infection site, clindamycin use, invasive mechanical ventilation, and acute kidney injury to identify factors significantly associated with ICU mortality in STSS patients.
The ratio was of one independent variable for eight events. Goodness-of-fit of regression analyses and multicollinearity detection were presented in Additional file 1.
To estimate ICU mortality’s hazard ratio (HR) between STSS patients and non-STSS patients and between pre- and post-COVID-19 periods, we used standard Cox regression model. We assessed and confirmed the proportional hazard assumption with log(− log) plots and the scaled Schoenfeld residuals (Additional file 1).
A value of p < 0.05 was considered statistically significant (double-sided).
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Statistical analysis was carried out using Jamovi (The Jamovi project 2022, Version 2.3) and R (version 4.2.3, R Foundation for Statistical Computing, Vienna, Austria).
Ethics
According to French law, the database was notified to our Data Protection Officer. The study obtained the approval of the ethics committee of the French Intensive Care Society (#CE SRLF 23-004). Patients (or their relatives, if any) were notified about the anonymized use of their health care data by the department’s booklet and an individual information letter addressed to the patient or his relatives, in accordance with French law on retrospective studies of anonymized data. This study complied with French research Reference Methodology MR004 regarding health-data privacy and the French National Commission on Informatics and Liberty (CNIL).
Results
Incidence of iGAS infection
Two hundred and twenty-two patients were admitted to ICU for iGAS infections. Seventy-three patients out of 35,610 ICU admissions (0.20%) and 149 out of 15,963 ICU admissions (0.95%) were hospitalized for severe iGAS disease before and after the COVID-19 pandemic, respectively (Additional file 2: Table S1). Overall, the case rate of iGAS infection was 205 and 949/100,000 ICU admissions, respectively (p < 0.001) (Fig. 1 and Additional file 2: Table S1). Details of ICU admissions, iGAS infections, and case rates according to the study period for each center are presented in Additional file 2: Table S1.
Fig. 1
iGAS infections case rate in metropolitan’s ICUs before and after COVID-19. Case rate > 1000: red, Case rate 500–1000: orange, Case rate < 500: green. A Before COVID-19 (October 2018 to March 2019 and October 2019 to March 2020). B After COVID-19 (October 2022 to March 2023)
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Baseline characteristics of iGAS patients
The 37 participating ICUs were distributed throughout metropolitan France: six (19%) in university hospitals and 31 (81%) in non-university hospitals (Additional file 2: Fig. S1). Detailed patients’ characteristics are presented in Table 1. Briefly, the median age was 61 [43–70], most patients were men (58%), 80 (36%) of them had a history of hypertension and 40 (19%) of diabetes. The median SOFA score at ICU admission was 8 [5–13]. iGAS infections caused SSTI in 44% of cases and LRTI (pneumonia, empyema or abscess) in 34% of cases.
One hundred and twenty-three patients (55%) had STSS. STSS was more common after than before COVID-19 (61% vs. 45%, respectively, p = 0.015).
Influenza co-infection was less frequent before the COVID-19 pandemic (p < 0.001), whereas less hypertension (p = 0.010), coronary disease (p = 0.011), COPD (p < 0.001), CKD (p = 0.003) and alcohol use disorders (p = 0.014) were observed in the post-pandemic period.
Table 1
Baseline characteristics of patients at ICU admission
Baseline characteristics
All patients
(n = 222)
Before COVID-19
(n = 73)
After COVID-19
(n = 149)
p value
Male, n (%)
128 (58%)
41 (59%)
87 (58%)
0.753
Age (years), median (IQR)
61 (43–70)
62 (49–70)
60 (42–69)
0.265
BMI (kg/m2), median (IQR)
26 (22.9–30.9)
26 (23.3–32.3)
25.9 (22.9–30.5)
0.643
Hypertension, n (%)
80 (36%)
35 (48%)
45 (30%)
0.010
Diabetes, n (%)
40 (18%)
16 (22%)
24 (13%)
0.290
Coronary disease, n (%)
23 (10%)
13 (18%)
10 (7%)
0.011
Immunosuppression, n (%)
16 (7%)
7 (10%)
9 (6%)
0.337
Asthma, n (%)
18 (8%)
5 (7%)
13 (8%)
0.631
COPD, n (%)
13 (6%)
11 (15%)
2 (1%)
< 0.001
Chronic kidney disease, n (%)
14 (6%)
9 (12%)
5 (3%)
0.003
Stroke, n (%)
10 (5%)
3 (4%)
7 (5%)
0.843
Active tobacco use, n (%)
51 (23%)
22 (30%)
29 (19%)
0.076
Alcohol use disorders, n (%)
33 (15%)
17 (23%)
16 (11%)
0.014
Prior NSAID use, n (%)
31 (14%)
11 (15%)
20 (13%)
0.740
Infection sites
0.144
Skin and soft tissue, n (%)
98 (44%)
37 (51%)
60 (40%)
Lower respiratory tract. n (%)
75 (34%)
18 (25%)
57 (38%)
Others, n (%)
49 (22%)
16 (22%)
33 (22%)
SOFA score at D1, median (IQR)
8 (5–13)
7 (5–10)
9 (6–13)
0.011
Cardiovascular, median (IQR)
4 (1–4)
4 (1–4)
4 (1–4)
Renal, median (IQR)
2 (0–3)
1 (0–3)
2 (0–3)
Respiration, median (IQR)
2 (1–3)
2 (0.5–2)
2 (1–3)
Coagulation, median (IQR)
1 (0–2)
0 (0–1)
1 (0–2)
Central nervous system, median (IQR)
0 (0–1)
0 (0–1)
0 (0–1)
Liver, median (IQR)
0 (0–1)
0 (0–1)
0 (0–1)
STSS, n (%)
123 (55%)
32 (45%)
91 (61%)
0.015
STSS with renal manifestations, n (%)
119 (54%)
33 (45%)
86 (58%)
STSS with liver manifestations, n (%)
88 (40%)
20 (27%)
68 (46%)
STSS with ARDS, n (%)
79 (36%)
15 (21%)
64 (43%)
STSS with soft tissue necrosis, n (%)
75 (34%)
22 (30%)
53 (36%)
STSS with coagulopathy manifestations, n (%)
75 (34%)
11 (15%)
64 (43%)
Acute kidney injury, n (%)
155 (70%)
47 (64%)
108 (76%)
0.217
Ferritin (ng/mL)º, median (IQR)
603 (371–1490)
403 (312–597)
763 (419–1704)
0.013
Fibrinogen (mg/L)$, median (IQR)
6.6 ± 2
6.5 ± 2.1
6.7 ± 2.0
0.445
Lymphocyte count (G/L)¤, median (IQR)
0.37 (0.19–0.64)
0.35 (0.21–0.61)
0.37 (0.18–0.70)
0.804
Neutrophil count (G/L)§, mean ± SD
11.1 ± 8.3
13.8 ± 7.8
9.7 ± 8.2
< 0.001
Albumin (g/L)‡, mean ± SD
23.4 ± 6.8
22.9 ± 6.6
24 ± 7.1
0.284
COVID-19 co-infection, n (%)
5 (2%)
0 (0%)
5 (3%)
0.113
Influenza co-infection, n (%)
33 (15%)
2 (3%)
31 (21%)
< 0.001
Others active viral co-infection, n (%)
8 (4%)
1 (1%)
7 (5%)
0.211
Statistical significance (p < 0.05)
ARDS acute respiratory distress syndrome, BMI body mass index, COPD chronic obstructive pulmonary disease, D day, ENT ear, nose, throat, ICU intensive care unit, IQR interquartile range, NSAID non-steroidal anti-inflammatory drug, SD standard deviation, SOFA score Sequential Organ Failure Assessment Score, STSS streptococcal toxic shock syndrome
Others infection sites include orthopedic, ear nose and throat, gynecological, neurologic, abdominal, heart, urologic and vascular infections
SOFA scores can range from 0 (no organ failure) to 24 (most severe level of multiorgan failure)
Detailed patients’ care is provided in Table 2. The first antibiotic regimen prescribed in the emergency department or in the ICU was active against GAS in 211 (99%) patients. Early empiric antimicrobial treatment was initiated without delay at ICU admission in all the 222 (100%) patients. The median time from symptom onset to effective antibiotic therapy was 0 [0–0] day. An active monotherapy was used in 64 patients (29%), 131 patients (59%) received double-therapy and 26 patients (12%) had an active triple-therapy against GAS. Amoxicillin was used in 110 patients (50%), 78 patients (35%) received third generation cephalosporins, and piperacillin/tazobactam was prescribed in 42 (19%) patients and aminoglycosides in 40 patients (18%). Clindamycin and linezolid were used in 124 (56%) and 34 patients (15%), respectively, and clindamycin use increased after COVID-19 pandemic (44% before and 63% after COVID-19; p = 0.001). Intravenous immunoglobulin (IVIG) was prescribed in 17 patients (8%) (in addition to clindamycin in 15 out of 17 patients). Surgical treatment was required in 90 patients (41%) with a median time from ICU admission to surgery of 0 [0–1] day.
Mechanical ventilation and norepinephrine were required in 135 (61%) and 164 (74%) of patients, respectively, with increase after COVID-19 pandemic both for the proportion of patients receiving IMV (p = 0.014) and the maximum norepinephrine dose required (p = 0.002). Twenty-three (11%) and 3 patients (1%) required dobutamine and VA-ECMO support, respectively. One hundred fifty-five out of 222 patients (70%) suffered from AKI during ICU hospitalization and 57 (26%) required RRT.
Table 2
Treatment and outcomes of iGAS infections
All patients
(n = 222)
Before COVID-19
(n = 73)
After COVID-19
(n = 149)
p value
Treatment of iGAS infections
Time between onset of symptoms and ICU admission (days), median (IQR)
3 (1–4)
2 (1–5)
3 (1–4)
0.438
Time between ICU admission and iGAS infection confirmed (days), median (IQR)
0 (0–1)
0 (0–1)
0 (0–1)
0.235
Empiric antimicrobial therapy at ICU admission, n (%)
221 (100%)
72 (99%)
149 (100%)
1
Time from ICU admission to effective antimicrobial therapy (days), median (IQR)
0 (0–0)
0 (0–0)
0 (0–0)
0.235
Monotherapy, n (%)
64 (29%)
30 (41%)
34 (23%)
0.005
Double therapy, n (%)
131 (59%)
38 (52%)
93 (62%)
0.140
Triple therapy, n (%)
26 (12%)
5 (7%)
21 (14%)
0.115
Clindamycin use, n (%)
124 (56%)
30 (44%)
94 (63%)
0.001
Linezolid use, n (%)
34 (15%)
6 (6%)
28 (19%)
0.040
Intravenous immunoglobulin use, n (%)
17 (8%)
2 (3%)
15 (10%)
0.054
Surgical source control needed, n (%)
90 (41%)
27 (37%)
63 (42%)
0.450
Time from ICU admission to surgical source control (days), median (IQR)
0 (0–1)
0 (0–1)
0 (0–1)
0.965
Invasive mechanical ventilation, n (%)
135 (61%)
36 (49%)
99 (66%)
0.014
Length of intubation (days), median (IQR)
7 (2–14)
6 (3–15)
8 (2–14)
0.998
Norepinephrine use, n (%)
164 (74%)
50 (68%)
114 (77%)
0.173
Maximum norepinephrine dose (μg/kg/min), median (IQR)
0.9 (0.4–2)
0.6 (0.2–1.2)
1.2 (0.5–2.1)
0.002
Dobutamine use, n (%)
23 (11%)
4 (5%)
19 (14%)
0.065
Renal replacement therapy, n (%)
57 (26%)
17 (23%)
40 (29%)
0.569
Veno-arterial ECMO, n (%)
3 (1%)
1 (1%)
2 (1%)
0.987
Outcome of iGAS infections
ICU length of stay (days), median (IQR)
7 (4–16)
6 (4–16)
8 (4–16)
0.278
Hospitalization length of stay (days), median (IQR)
22 (11–35)
23 (9–37)
22
(13–34)
0.711
ICU death, n (%)
43 (19%)
10 (14%)
33 (22%)
0.135
Deaths at day 90, n (%)
46 (21%)
13 (18%)
33 (22%)
0.820
Time from ICU admission to death (days), median (IQR)
2 (0–7)
1 (1–3)
2 (1–13)
0.540
Statistical significance (p < 0.05)
ECMO extracorporeal membrane oxygenation, ICU intensive care unit, iGAS invasive group A streptococcal, IQR interquartile range
Outcomes of iGAS patients
Patients’ outcomes are detailed in Table 2. Median ICU length of stay was 7 [4–16] days and median hospital length of stay 22 [11–35] days. Forty-three out of 222 patients (19%) deceased in ICU and 46 (22%) at day 90, with a median time from ICU admission to death of 2 [0–7] days. iGAS mortality in ICU was 14% before and 22% after COVID-19 pandemic (p = 0.135). iGAS mortality at day 90 was 18% before and 22% after COVID-19 pandemic (p = 0.82) (Additional file 2: Fig. S2).
Factors associated with ICU mortality in iGAS patients
In univariate analysis, age (OR = 1.03 [1.01–1.06], p = 0.005), diabetes (OR = 2.23 [1.01–4.91], p = 0.047), STSS (OR = 11.03 [3.78–32.14]), p < 0.001), IMV (OR = 8.43 [2.89–24.58], p < 0.001), dobutamine use (OR = 2.88 [1.16–7.11], p = 0.022), AKI (OR = 11.69 [2.74–49.91], p < 0.001) and RRT (OR = 4.90 [2.42–9.94], p < 0.001) were significantly associated with ICU mortality (Additional file 2: Table S2). Of note, study period (after vs before COVID-19 pandemic) was not associated with ICU mortality (univariate analysis, OR = 1.79 [0.93–3.87], p = 0.138).
In multivariate analysis, IMV (OR = 6.08 [1.71–21.60], p = 0.005), STSS (OR = 5.75 [1.71–19.22], p = 0.005), AKI (OR = 4.85 [1.05–22.42], p = 0.043), immunosuppression (OR = 4.02 [1.03–15.59], p = 0.044), and diabetes (OR = 3.92 [1.42–10.79], p = 0.008) remained significantly associated with ICU mortality (Table 3).
Table 3
Factors associated with ICU mortality for iGAS infections
Variables
Multivariate analysis
OR
CI95%
p value
Diabetes
3.92
1.42–10.79
0.008
Immunosuppression
4.02
1.03–15.59
0.044
STSS
5.75
1.71–19.22
0.005
Invasive mechanical ventilation
6.08
1.71–21.60
0.005
Acute kidney injury
4.85
1.05–22.42
0.043
Statistical significance (p < 0.05)
CI confidence interval, ICU intensive care unit, OR odds ratio, STSS streptococcal toxic shock syndrome
Univariate comparison was performed using linear logistic regression (Table S1). Independent variables with a p value < 0.20 were considered for inclusion in the multivariate analysis using linear logistic regression. We excluded “renal replacement therapy” variable due to collinearity with “acute kidney injury” variable. We applied a backward stepwise selection for period, age, diabetes, immunosuppression, infection site, STSS, invasive mechanical ventilation, dobutamine use and acute kidney injury to identify factors significantly associated with ICU mortality in iGAS patients. The ratio was of one independent variable for 8 events
Mortality in STSS patients (n = 123)
The ICU and day 90 mortality rates were superior in the STSS group than in the non-STSS group (32% vs. 4%, p < 0.001 and 33% versus 6%, p < 0.001, respectively), and STSS was associated with an increased hazard for ICU mortality (HR 9.19 [3.29–25.76]; p < 0.001) (Fig. 2).
Fig. 2
Comparison of survival rates according to time from iGAS infection with and without streptococcal toxic shock syndrome (STSS)
×
Factors associated with ICU mortality in STSS patients
Univariate and multivariate analysis were reported in Additional file 2: Table S3. In multivariate analysis, IMV (OR = 19.60 [2.52–152.53], p = 0.005), AKI (OR = 11.58 [1.34–99.78], p = 0.026), and diabetes (OR = 8.79 [2.26–34.21], p = 0.002) were significantly associated with increased ICU mortality, while clindamycin use was associated with a decreased ICU mortality (OR = 0.20 [0.08–0.54], p = 0.002).
Discussion
Incidence of iGAS requiring admission to ICU increased after COVID-19 pandemic in our study. Main clinical presentations were skin and soft tissue infections (SSTI) and lower respiratory tract infections (LRTI).
Interestingly, critical iGAS patients suffered from fewer comorbidities and exhibited a higher frequency of influenza co-infection after than before the pandemic. After the COVID-19 pandemic, patients suffered from more severe iGAS infection (more frequent STSS, higher SOFA score at ICU admission, IMV requirement, and higher maximal dose of norepinephrine). Nevertheless, ICU mortality was not different after than before the COVID-19 pandemic.
The increase in iGAS incidence is consistent with recent data from UK pediatric wards published in 2023, which found that iGAS is a significant and increasing cause of severe bacterial infection, with a significant burden of mortality and persistent morbidity [23]. SSTI and LRTI were the predominant sites of infection, similar to our data. Regarding adults, risk factors for iGAS were consistent with previously described data, i.e., tobacco, alcohol abuse, wounds or chronic skin lesions, homelessness, and diabetes [24].
A first explanation for this increased incidence of critical iGAS in adults could be the emergence of a highly virulent GAS strain. Isolated GAS strains are routinely sent to the French National Reference Center in case of invasive infections, and GAS is then classified based on the sequence of the 5′ end of the gene encoding the M protein (emm) with more than 220 emm described genotypes [25]. The recent European epidemic of GAS infection seems to be linked to the increase in the frequency of an already known genotypes (emm-1 with sequence-type 28, and emm-12) [14, 26‐28]. Interestingly, a Belgian study reported an increase in the proportion of the toxigenic M1UK lineage [29] with an increased expression of the superantigen gene spA [30] compared to the original M1global lineage.
Nevertheless, this “bacterial hypothesis” could only be one part of the explanation. This increase in iGAS incidence occurs in patients with fewer comorbidities (hypertension, coronary disease, COPD, CKD and alcohol abuse disorder) but with a higher proportion of active influenza co-infection, which raises “the host hypothesis” as a complementary explanation. Indeed, seasonal variation has previously been observed with increased iGAS incidence during winter, coinciding with the influenza season [31, 32]. The severity of viral respiratory infections can worsen in case of simultaneous (co-infection) or subsequent (superinfection) bacterial infection. The interaction of influenza A virus with another Streptococcus specie has been more extensively investigated, demonstrating that pneumococcal infections are more severe (increased pneumococcal burden, lung inflammation, and mortality) in mice after non-lethal influenza A virus infection [33]. Regarding GAS, some data suggest a similar increase in bacterial infection occurring after influenza [31].
A decrease in exposure to pathogens after two years of barrier measures (social isolation, hand hygiene, cloth face masks) due to the COVID-19 pandemic could be responsible for a loss of immune system sensitivity and also explain the increase in iGAS infections after COVID-19 [34].
It could have been hypothesized that our results were due to the health system overwhelming and health workers’ exhaustion after the COVID-19 pandemic [35, 36]. However, our study observed no delay in ICU admission, treatment initiation, and surgical source control if needed. After the COVID-19 pandemic, a fall in hospital admissions for child infections was observed in England due to societal strategy changes (social distancing, minimal recreational activities, restricted travel) and behavioral changes (adoption of non-pharmacological interventions) [37]. These changes could have reduced admissions for severe iGAS infections in adults. However, we report an increased incidence of ICU admission for severe iGAS in our study.
The potentiality that a change in the organization, ICU practice, or staff could have affected the results was low despite not being excluded. Indeed, the number of admissions in all ICUs remained similar before and after the COVID-19 pandemic, as were the timing of care and ICU practices (surgical intervention, norepinephrine, and RRT use).
Clindamycin, linezolid, and IVIG are the only available antitoxin drugs. In this study, we observed an association between clindamycin use and decreased ICU mortality in STSS patients. Clinical data are lacking to get beyond in vitro studies, with only one comparative observational study suggesting a potential reduction when clindamycin is added to penicillin, especially if administered with IGIV [38]. Our study has the same limitations; in particular, we cannot rule out selective survival bias even if most STSS patients received clindamycin within 24 h of ICU admission (59/84 patients, 71%).
Our study has other limitations. First, the before–after design can induce a bias in the systematic diagnosis of iGAS infection and under-diagnosis of viral co-infection, especially before COVID-19 pandemic. Pathophysiological data strongly suggest a role for viral-induced immune suppression in the onset of severe iGAS infection. This point should be further assessed in large prospective cohorts. Second, despite being one of the largest cohorts in the field and involving nearly 40 ICUs all over France, this study could lead to an inadequate estimate of cases because it does not fully represent the broader population (selection bias). It can be hypothesized that an over-estimating effect if centers facing an increase in iGAS cases were more prone to participate or an under-estimating effect if some reference centers declined to participate. Furthermore, using ICD code to identify cases has limitations, notably missed cases that were not assigned the codes and misassigned cases. The lack of serotyping studies on the samples prevents obtaining more insights into the specific strains of iGAS involved. Moreover, this is a retrospective study without control cases, which does not allow any causal link.
Conclusion
The incidence of iGAS infections requiring ICU admission increased by 4 to 5-fold after the COVID-19 pandemic. The rate of STSS was higher in iGAS patients after the pandemic, with more frequent requests for IMV but no significant increase in ICU mortality rate. In iGAS patients, IMV, STSS, AKI, immunosuppression, and diabetes were significantly associated with ICU mortality. Further studies are needed to enhance our understanding of pathophysiology of GAS diseases and to explore causes of recent resurgence of severe iGAS infections. New therapeutics are still to be discovered to improve STSS patient care.
Take-home message
The incidence of iGAS infections requiring ICU admission by admission increased by 4 to 5-fold after the COVID-19 pandemic.
After the COVID-19 pandemic, the rate of STSS was higher, with no significant increase in ICU mortality rate.
Acknowledgments
We thank all doctors, residents, nurses, and nursing assistants who cared for the patients at the medical ICUs. ISTRE study group members: Arthur Orieux, Renaud Prevel, Margot Dumery, Jean‑Baptiste Lascarrou, Noémie Zucman, Florian Reizine, Pierre Fillatre, Charles Detollenaere, Cédric Darreau, Nadiejda Antier, Mélanie Saint‑Léger, Guillaume Schnel, Béatrice La Combe, Charlotte Guesdon, Franklin Bruna, Antoine Guillon, Caroline Varillon, Olivier Lesieur, Hubert Grand, Benjamin Bertrand, Shidasp Siami, Pierre Oudeville, Céline Besnard, Romain Persichini, Pierrick Bauduin, Martial Thyrault, Mathieu Evrard, David Schnell, Johann Auchabie, Adrien Auvet, Jean‑Philippe Rigaud, Pascal Beuret, Maxime Leclerc, Asaël Berger, Omar Ben Hadj Sale, Julien Lorber, Annabelle Stoclin, Olivier Guisset, Léa Bientz, Pierre Khan, Vivien Guillotin, Jean‑Claude Lacherade, Alexandre Boyer.
Declarations
Ethics approval and consent to participate
The study obtained the approval of the ethics committee of the French Intensive Care Society (#CE SRLF 23-004). Patients (or their relatives, if any) were notified about the anonymized use of their health care data by the department’s booklet and an individual information letter addressed to the patient or his relatives, in accordance with French law on retrospective studies of anonymized data. This study complied with French research Reference Methodology MR004 regarding health-data privacy, and the French National Commission on Informatics and Liberty (CNIL).
Consent for publication
Not applicable.
Competing interests
The authors declare no competing interests.
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Wer ihn je erlebt hat, wird ihn nicht vergessen: den Schmerz, den die beim Öffnen oder Schließen des Reißverschlusses am Hosenschlitz eingeklemmte Haut am Penis oder Skrotum verursacht. Eine neue Methode für rasche Abhilfe hat ein US-Team getestet.
Der optimale Ansatz für die Blutdruckkontrolle bei Patientinnen und Patienten mit akutem Schlaganfall ist noch nicht gefunden. Ob sich eine frühzeitige Therapie der Hypertonie noch während des Transports in die Klinik lohnt, hat jetzt eine Studie aus China untersucht.
Zwar scheint es laut einer Studie aus den USA und Kanada bei der Reanimation von Kindern außerhalb einer Klinik keinen Unterschied für das Überleben zu machen, ob die Wiederbelebungsmaßnahmen während des Transports in die Klinik stattfinden oder vor Ort ausgeführt werden. Jedoch gibt es dabei einige Einschränkungen und eine wichtige Ausnahme.
Eine ältere Frau trinkt regelmäßig Sennesblättertee gegen ihre Verstopfung. Der scheint plötzlich gut zu wirken. Auf Durchfall und Erbrechen folgt allerdings eine Hyponatriämie. Nach deren Korrektur kommt es plötzlich zu progredienten Kognitions- und Verhaltensstörungen.
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