Literature DB >> 36167550

Relationship between corticosteroid use and incidence of ventilator-associated pneumonia in COVID-19 patients: a retrospective multicenter study.

Ouriel Saura1, Anahita Rouzé1,2, Ignacio Martin-Loeches3,4,5, Pedro Povoa6,7,8, Louis Kreitmann9, Antoni Torres10, Matthieu Metzelard11, Damien Du Cheyron12, Fabien Lambiotte13, Fabienne Tamion14, Marie Labruyere15, Claire Boulle Geronimi16, Charles-Edouard Luyt17, Martine Nyunga18, Olivier Pouly19, Arnaud W Thille20, Bruno Megarbane21, Anastasia Saade22, Eleni Magira23, Jean-François Llitjos24, Iliana Ioannidou25, Alexandre Pierre26, Jean Reignier27, Denis Garot28, Jean-Luc Baudel29, Guillaume Voiriot30, Gaëtan Plantefeve31, Elise Morawiec32,33, Pierre Asfar34, Alexandre Boyer35, Armand Mekontso-Dessap36,37,38, Fotini Bardaka39, Emili Diaz40,41, Christophe Vinsonneau42, Pierre-Edouard Floch43, Nicolas Weiss44,45,46, Adrian Ceccato47, Antonio Artigas48, David Nora6, Alain Duhamel49,50, Julien Labreuche50, Saad Nseir51,52.   

Abstract

BACKGROUND: Ventilator-associated pneumonia (VAP) is common in patients with severe SARS-CoV-2 pneumonia. The aim of this ancillary analysis of the coVAPid multicenter observational retrospective study is to assess the relationship between adjuvant corticosteroid use and the incidence of VAP.
METHODS: Planned ancillary analysis of a multicenter retrospective European cohort in 36 ICUs. Adult patients receiving invasive mechanical ventilation for more than 48 h for SARS-CoV-2 pneumonia were consecutively included between February and May 2020. VAP diagnosis required strict definition with clinical, radiological and quantitative microbiological confirmation. We assessed the association of VAP with corticosteroid treatment using univariate and multivariate cause-specific Cox's proportional hazard models with adjustment on pre-specified confounders.
RESULTS: Among the 545 included patients, 191 (35%) received corticosteroids. The proportional hazard assumption for the effect of corticosteroids on the incidence of VAP could not be accepted, indicating that this effect varied during ICU stay. We found a non-significant lower risk of VAP for corticosteroid-treated patients during the first days in the ICU and an increased risk for longer ICU stay. By modeling the effect of corticosteroids with time-dependent coefficients, the association between corticosteroids and the incidence of VAP was not significant (overall effect p = 0.082), with time-dependent hazard ratios (95% confidence interval) of 0.47 (0.17-1.31) at day 2, 0.95 (0.63-1.42) at day 7, 1.48 (1.01-2.16) at day 14 and 1.94 (1.09-3.46) at day 21.
CONCLUSIONS: No significant association was found between adjuvant corticosteroid treatment and the incidence of VAP, although a time-varying effect of corticosteroids was identified along the 28-day follow-up.
© 2022. The Author(s).

Entities:  

Keywords:  COVID-19; Corticosteroids; SARS-CoV-2; Ventilator-associated lower respiratory tract infections

Mesh:

Year:  2022        PMID: 36167550      PMCID: PMC9513297          DOI: 10.1186/s13054-022-04170-2

Source DB:  PubMed          Journal:  Crit Care        ISSN: 1364-8535            Impact factor:   19.334


Introduction

The novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can lead to a severe respiratory tract infection (coronavirus disease 2019 (COVID-19)) and hit the world with multiple pandemic waves from December 2020. During the first surge of COVID-19, studies reported that around 80% of patients admitted to hospital for COVID-19 would require oxygen support [1, 2] and a high rate of them an invasive mechanical ventilation (IMV) due to acute respiratory distress syndrome (ARDS) leading to high mortality rates [3, 4]. IMV during ARDS exposes patients to severe complications, such as ventilator-associated pneumonia (VAP). Several studies have recently described the high incidence of ventilator-associated lower respiratory tract infection (VA-LRTI) in COVID-19 patients ranging from 30 to 84% [4-7]. Previous studies demonstrated a significantly higher incidence of VA-LRTI and notably VAP in SARS-CoV-2 pneumonia patients versus non-SARS-CoV-2 pneumonia patients [5, 8–10]. High rates of ARDS, alveolar inflammation, prolonged IMV, lung microbiota alteration, COVID-19-related specific lesions, neuromuscular blocking and immunosuppressive agent use could explain this high rate of VAP in SARS-CoV-2 pneumonia patients [11, 12]. The positive results of the randomized controlled multicenter trial RECOVERY [13] and its further confirmation in large meta-analysis [14] have placed dexamethasone as the first line agent for treating hospitalized COVID-19 patients with a significantly improved 28-day survival, especially in the subgroup of patients invasively ventilated. Yet, the impact of such treatment on the incidence of VAP in COVID-19 patients is still a matter for debate, as available data are scarce and conflicting [3, 15–19]. Hence, we sought to determine the relationship between adjuvant corticosteroid treatment and the incidence of VAP in a large cohort of COVID-19 patients invasively ventilated for more than 48 h, during the first surge of the SARS-CoV-2 pandemic. Our hypothesis was that VAP incidence would be higher in corticosteroid-treated versus non-treated COVID-19 patients. The primary objective was to compare the incidence of VAP in patients receiving or not adjuvant corticosteroid treatment. Secondary objectives were to determine the relationship between adjuvant corticosteroid treatment and 28-day mortality, duration of mechanical ventilation and ICU length of stay, based on the occurrence of VAP. We also evaluated microbiology of VAP in both groups of patients.

Methods

Study design and population

This is a planned ancillary analysis of the coVAPid study, which design was previously described [8]. Briefly, it was a multicenter retrospective observational cohort conducted in 36 ICUs in Europe (28 centers in France, 3 in Spain, 3 in Greece, 1 in Portugal and 1 in Ireland) aimed to determine the relationship between SARS-CoV-2 pneumonia as compared to influenza pneumonia or no viral infection and the incidence of VA-LRTI. The present analysis was restricted to the population of SARS-CoV-2 pneumonia. Patients were 18-year-old or above and received IMV for more than 48 h. Patients were excluded if data related to corticosteroid treatment were not available. Patients were consecutively included in each center starting from the beginning of the COVID-19 pandemic if they had a positive polymerase chain reaction (PCR) test for the SARS-CoV-2 virus on nasopharyngeal swab or respiratory secretions. The Ethics Committee and Institutional Review Boards approved the coVAPid study protocol (Comité de Protection des Personnes Ouest VI; approved by April 14, 2020; registration number RIPH:20.04.09.60039) as minimal-risk research using data collected for routine clinical practice. The requirement for informed consent was waived, and patients or their relative received information about the study and were given the possibility to refuse the use of their personal data. The coVAPid database was registered into the “Commission Nationale de l’Informatique et des Libertés” in accordance with the French law. The coVAPid study was registered at ClinicalTrials.gov, number NCT04359793. Demographic characteristics, severity scores and comorbidities, past medical history and ongoing treatments, prior hospitalization and exposition to antibiotics (during the past three months) were collected for each patient at baseline. During hospitalization, clinical, biological and radiological findings were recorded as well as the different treatments received during ICU stay (i.e., prone positioning, extra corporeal membrane oxygenation (ECMO)). Antibiotic and corticosteroid use was recorded as type, time of initiation, duration of exposure before occurrence of VAP, maximum daily dose expressed as prednisone equivalent dose (for corticosteroid treatment).

Objectives and outcomes

Our primary objective was to determine the impact of corticosteroid use on the incidence of VAP in SARS-CoV-2 pneumonia patients. The primary outcome was the occurrence of VAP [8, 20]. Briefly, new or progressive infiltrates on chest X-rays and two of the following criteria were needed for the diagnosis of VAP: (1) leucocyte count greater than 12,000 cells per μL or less than 4000 cells per μL, (2) hyperthermia above 38.5 °C or hypothermia under 36.5 °C, (3) purulent tracheal secretions. Microbiological confirmation was required to confirm the diagnosis, with at least 105 colony-forming units (CFUs) per mL for endotracheal aspirates or 104 CFU per mL for bronchoalveolar lavage. VAP episodes were prospectively recorded and confirmed by two distinct physicians as well as the chest X-rays readings. Only first VAP episodes were taken into account. The secondary objective was to determine the impact of adjuvant corticosteroid treatment on 28-day mortality, MV duration and ICU length of stay.

Statistical analysis

Categorical variables are reported as absolute number and percentage, whereas continuous variables are expressed as median with interquartile range (25th–75th percentile). Patient characteristics at ICU admission and during ICU stay were described according to the use or not of corticosteroids without statistical comparisons. The 28-day cumulative incidence of VAP, extubation alive and ICU discharge alive were estimated using the Kalbfleisch and Prentice method [21], considering extubation within 28-day (dead or alive), death under MV, or death during ICU as a competing events. The 28-day cumulative incidence of all-cause mortality was estimated using the Kaplan–Meier method. The association between corticosteroids and VAP was assessed using Cox regression with cause-specific hazard function considering initiation of corticosteroid treatment as a time-varying covariate. In this model, extubation within 28 days (dead or alive) without VAP was considered as a competing event. The corticosteroid time-varying variable was coded 0 during the period before the start of the treatment and 1 from the day of initiation of corticosteroids until the occurrence of VAP or MV withdrawal or death within the 28-day period of follow-up. The cause-specific hazard ratios (cHR) for corticosteroid vs. non-corticosteroid exposure were calculated as effect size. Hazard assumption proportionality of corticosteroids during follow-up was assessed by using the scaled Schoenfeld residuals plots. Since the assumption was not satisfied, the corticosteroids effect was modeled using time-dependent coefficient by including corticosteroids and corticosteroids*time interaction terms as covariates into cause-specific Cox’s models and the overall corticosteroids effect was assessed by the likelihood ratio test. Similarly, we investigated the association of corticosteroids with patient’s outcomes censored at day-28 (overall survival, MV duration, length of ICU stay) by using a Cox’s regression model with cause-specific hazard for MV duration (considering as event of interest extubation alive and death under MV as competing event) and for length of ICU stay (considering as event of interest ICU discharge alive, and death in ICU as competing event) [22]. Since there was no deviation on proportionality assumption, the corticosteroid effect was only modeled as a time-varying covariate without time-dependent coefficients. In addition, we investigated the effect of the occurrence of VAP on the association between corticosteroid use and these outcomes by including in the models the VAP covariate and the corticosteroids x VAP interaction (both treated as time-varying covariates). All associations were further investigated after adjustment for pre-specified confounders already known to be associated with VAP and patients’ outcomes (age, gender, BMI, SAPS II, MacCabe classification, immunosuppression, recent hospitalization, recent antibiotics, shock, ARDS and cardiac arrest). To avoid case-deletion in multivariate analyses due to presence of missing data in covariates, multivariable Cox’s models were performed after handling missing data by using a multiple imputation procedure [23]. Specifically, imputation of missing values was performed using a regression-switching approach (chained equations with m = 20 obtained) under the “missing at random” assumption, using all baseline characteristics (see Table 1) and outcomes, with a predictive mean matching method for quantitative variables and a logistic regression model (binary, ordinal or multinomial) for categorical variables. Estimates obtained in the different imputed data sets were combined using Rubin’s rules [24]. Sensitivity analysis on complete cases (patients without missing data on covariates) was also performed.
Table 1

Patient characteristics at ICU admission

No corticosteroids (n = 354)Corticosteroids (n = 191)
Age, years64 (53–72)65 (57–72)
Men256 (72.3)134 (70.2)
BMI (Kg/m)*28.4 (25.4–33.0)29.6 (26.9–34.3)
Severity scores
 SAPS II†41 (32–54)43 (33–60)
 SOFA Score‡6 (3–8)7 (3–9)
Comorbidity scores
 MacCabe classification
  Non-fatal296/336 (88.1)157/186 (85.3)
  Fatal < 5 years36/336 (10.7)25/186 (13.6)
  Fatal < 1 year4/336 (1.2)2/186 (1.1)
 Charlson comorbidity index§3 (1–4)3 (2–4)
Chronic diseases
 Diabetes mellitus109/353 (30.9)52/189 (27.5)
 Chronic renal failure17/349 (4.9)15/187 (8.0)
 Heart disease70/351 (19.9)30/187 (16.0)
 Chronic heart failure13/350 (3.7)8/186 (4.3)
 COPD19/350 (5.4)18/188 (9.6)
 Chronic respiratory failure15/350 (4.3)5/186 (2.7)
 Cirrhosis4/350 (1.1)4/187 (2.1)
 Immunosuppression25/350 (7.1)27/187 (14.4)
 Active smoking17/350 (4.9)11/188 (5.9)
 Alcohol abuse23/349 (6.6)10/187 (5.3)
Location before ICU admission
 Home163/354 (46.0)95/191 (49.7)
 Hospital ward136/354 (38.4)70/191 (36.6)
 Another ICU55/354 (15.5)26/191 (13.6)
Recent hospitalization (< 3 months)24/354 (6.8)18/189 (9.5)
Recent antibiotics (< 3 months)45/354 (12.7)26/190 (13.7)
Causes for ICU admission
 Shock63/348 (18.1)39/187 (20.9)
 Acute respiratory failure327/354 (92.4)172/190 (90.5)
 ARDS244/352 (69.3)125/188 (66.5)
 Neurological failure14/344 (4.1)12/182 (6.6)
 Cardiac arrest2/343 (0.6)1/182 (0.5)
 Acute renal failure58/344(16.9)37/182 (20.3)

Values are as no./No.(%) or median (interquartile range). * 31 missing values (n = 10 in corticosteroid group); † 42 missing values (n  = 17 in corticosteroid group); ‡ 21 missing values (n = 8 in corticosteroid group); § 19 missing values (n =  8 in corticosteroid group)

McCabe classification of comorbidities and likelihood of survival, likely to survive > 5 years, 1–5 years, < 1 year; Chronic kidney disease, KDOQI CKD classification stage 4 or 5 (creatinine clearance < 30 ml/mn); Chronic heart failure, NYHA class III or IV; Heart disease, ischemic heart disease or atrial fibrillation; Cirrhosis, Child–Pugh score B or C; Immunosuppression if hematological malignancy, allogeneic stem cell transplant, solid cancer, organ transplant, HIV or immunosuppressive drugs; More than one cause for ICU admission is possible

ARDS Acute respiratory distress syndrome, COPD chronic obstructive pulmonary disease, ICU intensive care unit, SAPS II Simplified Acute Physiology Score II, SOFA Sequential Organ Failure Assessment

Patient characteristics at ICU admission Values are as no./No.(%) or median (interquartile range). * 31 missing values (n = 10 in corticosteroid group); † 42 missing values (n  = 17 in corticosteroid group); ‡ 21 missing values (n = 8 in corticosteroid group); § 19 missing values (n =  8 in corticosteroid group) McCabe classification of comorbidities and likelihood of survival, likely to survive > 5 years, 1–5 years, < 1 year; Chronic kidney disease, KDOQI CKD classification stage 4 or 5 (creatinine clearance < 30 ml/mn); Chronic heart failure, NYHA class III or IV; Heart disease, ischemic heart disease or atrial fibrillation; Cirrhosis, Child–Pugh score B or C; Immunosuppression if hematological malignancy, allogeneic stem cell transplant, solid cancer, organ transplant, HIV or immunosuppressive drugs; More than one cause for ICU admission is possible ARDS Acute respiratory distress syndrome, COPD chronic obstructive pulmonary disease, ICU intensive care unit, SAPS II Simplified Acute Physiology Score II, SOFA Sequential Organ Failure Assessment Statistical testing was performed with a two-tailed α level of 0.05. Data were analyzed using the SAS software package, release 9.4 (SAS Institute, Cary, NC). Statistical analysis is fully detailed in the online data supplement.

Results

From March 2020 through May 2020, 568 patients receiving IMV > 48 h for SARS-CoV-2 pneumonia were eligible for this study. Twenty-three patients (4%) were excluded due to missing data. Among the 545 included patients, 191 (35%) received corticosteroids (Fig. 1).
Fig. 1

Study flowchart

Study flowchart

Patient characteristics at ICU admission

At ICU admission, the majority of patients were men with a median age of 64 year-old in corticosteroid and no-corticosteroid groups. Body mass index (BMI), SAPS II and SOFA scores, recent hospitalization (< 3 months) and recent antibiotic use (< 3 months) were comparable between both groups. In the corticosteroid group, the percentage of patients with immunosuppression was higher than in patients who did not receive corticosteroids. The main causes for ICU admission were acute respiratory failure and ARDS in both groups (Table 1).

Patient characteristics during ICU stay

Patient characteristics during ICU stay are presented in Table 2. Over 90% of patients in both groups had an antibiotic treatment during their ICU stay with a slightly longer duration of treatment in the corticosteroid group. Prone positioning was more frequent in patients who received corticosteroids than in those who did not. ECMO use was comparable in the two groups. 28-day mortality was higher in patients who received corticosteroids than in those who did not. Duration of MV and ICU length of stay were longer in the corticosteroid group than in the no-corticosteroid group.
Table 2

Patient characteristics during ICU stay

No corticosteroids (n = 354)Corticosteroids (n = 191)
Corticosteroids
 Hydrocortisone52/187 (27.8)
 Dexamethasone46/187 (24.6)
 Methylprednisolone90/187 (48.1)
 Highest daily dose, mg100 (50–133)
 Exposure period, days6 (3–8)
Antibiotic treatment308/328 (93.9)177/182 (97.3)
 Duration, days12 (7–18)14 (9–20)
Prone positioning228/353 (64.6)143/191 (74.9)
ECMO39/354 (11.0)22/190 (11.6)
28-day outcomes
 MV duration, days14 (8–22)17 (10–25)
 28-day mortality93/354 (26.3)70/191 (36.6)
 ICU length of stay, days17 (11–27)20 (13–28)

Values are as no./No.(%) or median (interquartile range)

Highest daily dose of corticosteroids is reported as prednisone equivalent. Exposure period is defined from the day of initiation of corticosteroids until the occurrence of VAP or MV withdrawal or death within the 28-day of follow-up

ECMO extracorporeal membrane oxygenation, ICU intensive care unit, MV mechanical ventilation

Patient characteristics during ICU stay Values are as no./No.(%) or median (interquartile range) Highest daily dose of corticosteroids is reported as prednisone equivalent. Exposure period is defined from the day of initiation of corticosteroids until the occurrence of VAP or MV withdrawal or death within the 28-day of follow-up ECMO extracorporeal membrane oxygenation, ICU intensive care unit, MV mechanical ventilation In the corticosteroid group, patients mainly received methylprednisolone (48.1%) for a median time of 6 days (3–8 days) before occurrence of VAP. The highest daily dose of prednisone equivalent was 100 mg (50–133 mg).

Incidence of VAP and corticosteroid use

In the corticosteroid group, 74 (38.7%) patients developed at least one episode of VAP versus 138 (38.9%) patients in the no-corticosteroid group. As shown in Additional file 1: e-Fig. 1, the proportional hazard assumption for the effect of corticosteroids on the incidence of VAP, assessed by the scaled Schoenfeld residuals, revealed a time tendency indicating that this effect varied during ICU stay. By modeling the effect of corticosteroids with time-dependent coefficients, the association of corticosteroids with incidence of VAP was not significant before and after pre-specified adjustment (Table 3), with time-dependent adjusted hazard ratios (95% confidence interval) of 0.47 (0.17–1.31) at day 2, 0.95 (0.63–1.42) at day 7, 1.48 (1.01–2.16) at day 14 and 1.94 (1.09–3.46) at day 21. Similar results were found in sensitivity complete case analysis. Additional file 1: e-Table 1 depicts the association of different corticosteroids with VAP in all study patients.
Table 3

Association between corticosteroid treatment use and outcomes in all study patients

Unadjusted analysisAdjusted analysisb
Multiple imputation analysiscComplete case-analysis
cHR (95%CI)P ValuecHR (95%CI)P ValuecHR (95%CI)P Value
VAP
 Overall effect0.13a0.082a0.056a
 At day 20.43 (0.15–1.17)0.47 (0.17–1.31)0.43 (0.14–1.24)
 At day 70.86 (0.58–1.28)0.95 (0.63–1.42)0.95 (0.63–1.44)
 At day 141.34 (0.92–1.94)1.48 (1.01–2.16)1.59 (1.05–2.38)
 At day 211.75 (0.99–3.08)1.94 (1.09–3.46)2.16 (1.16–4.02)
28-day mortality2.01 (1.46–2.75) < 0.00011.67 (1.20–2.33)0.0021.47 (1.02–2.10)0.034
MV duration1.14 (0.89–1.45)0.301.25 (1.01–1.54)0.0361.18 (0.88–1.56)0.25
Length of ICU stay0.71 (0.54–0.95)0.0171.00 (0.80–1.24)0.990.77 (0.56–1.07)0.12

ARDS acute respiratory distress syndrome, BMI body mass index, cHR cause-specific hazard ratio, CI confidence interval, ICU intensive care unit, SAPS II Simplified Acute Physiology Score II, VAP ventilator-associated pneumonia

aP Value for the effect of corticosteroids assessed by including corticosteroids and time*corticosteroids terms into Cox’s regression model to account the violation of proportional hazard assumption

bAdjusted for age, sex, BMI, SAPS II, MacCabe classification, immunosuppression, recent hospitalization, recent antibiotics, shock, ARDS, cardiac arrest (cafter handling missing values by multiple imputation (m = 20)

Association between corticosteroid treatment use and outcomes in all study patients ARDS acute respiratory distress syndrome, BMI body mass index, cHR cause-specific hazard ratio, CI confidence interval, ICU intensive care unit, SAPS II Simplified Acute Physiology Score II, VAP ventilator-associated pneumonia aP Value for the effect of corticosteroids assessed by including corticosteroids and time*corticosteroids terms into Cox’s regression model to account the violation of proportional hazard assumption bAdjusted for age, sex, BMI, SAPS II, MacCabe classification, immunosuppression, recent hospitalization, recent antibiotics, shock, ARDS, cardiac arrest (cafter handling missing values by multiple imputation (m = 20)

Patient characteristics at the day of VAP and microbiological data

VAP episodes were mainly diagnosed with endotracheal aspirates in both groups. SOFA score, modified CPIS and PaO2/FiO2 ratio did not differ at the day of VAP between the two groups. Thirty-five (25%) patients had at least one VAP recurrence in the no-corticosteroids group versus 8 (11%) in the corticosteroids group. A higher percentage of patients received antibiotic treatment at the day of VAP in the corticosteroid group versus no-corticosteroid group (Table 4).
Table 4

Description of patients at the day of VAP diagnosis

No corticosteroids (n = 138)Corticosteroids (n = 74)
Total number of VAP
 1103/138 (74.6)66/74 (89.2)
 229/138 (21.0)6/74 (8.1)
 35/138 (3.6)1/74 (1.4)
 41/138 (0.7)1/74 (1.4)
 50/138 (0.0)1/74 (1.4)
SOFA scorea8 (5–11)8 (5–11)
Diagnostic procedure
 Endotracheal aspirates83/137 (60.6)47/73 (64.4)
 Bronchoalveolar lavage54/137 (39.4)26/73 (35.6)
Modified CPISa6 (5–7)6 (4–7)
PaO2/FiO2b130 (91–180)139 (95–188)
Antibiotic treatment122/138 (88.4)71/74 (95.9)
Appropriate antibiotic treatment94/133 (70.7)48/73 (65.8)

Values are as no./No.(%) or median (interquartile range)

VAP ventilator-associated pneumonia, SOFA Sequential Organ Failure Assessment, CPIS clinical pulmonary infection score

a8 missing values (1 in corticosteroids group)

b13 missing values (3 in corticosteroids group)

Description of patients at the day of VAP diagnosis Values are as no./No.(%) or median (interquartile range) VAP ventilator-associated pneumonia, SOFA Sequential Organ Failure Assessment, CPIS clinical pulmonary infection score a8 missing values (1 in corticosteroids group) b13 missing values (3 in corticosteroids group) Gram-negative bacilli were the main bacteria responsible for VAP in the 2 groups (60%). Pseudomonas aeruginosa, Enterobacter spp. and Escherichia coli were the most frequently identified bacteria. A Higher proportion of VAP due to multidrug-resistant bacteria (MDR) was found in the corticosteroid-treated group (Table 5).
Table 5

Microorganisms responsible for VAP

No corticosteroids(n = 138)Corticosteroids(n = 74)
Gram-positive cocci22 (15.9)13 (17.6)
 MSSA12 (8.8)7 (9.5)
 MRSA5 (3.6)0 (0.0)
 Enterococcus spp.3 (2.2)4 (5.4)
 Streptococcus pneumoniae2 (1.5)2 (2.7)
Gram-negative bacilli83 (60)44 (59.5)
 Pseudomonas aeruginosa24 (17.5)17 (23)
 Enterobacter spp.20 (14.6)14 (18.9)
 Klebsiella pneumoniae6 (4.4)5 (6.8)
 Escherichia coli12 (8.8)2 (2.7)
 Acinetobacter baumannii9 (6.6)2 (2.7)
 Stenotrophomonas maltophilia2 (1.5)0 (0.0)
 Serratia marcescens2 (1.5)2 (2.7)
 Citrobacter freundii4 (2.9)0 (0.0)
 Proteus mirabilis1 (0.7)1 (1.4)
 Haemophilus influenza2 (1.5)0 (0.0)
 Morganella morganii1 (0.7)1 (1.4)
Other*17 (12.3)9 (12.1)
Polymicrobial15 (10.9)8 (10.8)
Multidrug-resistant isolates26 (19.0)21 (28.4)

VAP Ventilator-associated pneumonia

Values are as no. (%)

Missing values n = 1 (in the no-corticosteroid group)

MRSA, methicillin-resistant Staphylococcus aureus; MSSA, methicillin-sensitive Staphylococcus aureus

*Contains other Streptococcus Spp., other Klebsiella Spp., other Citrobacter Spp. and other bacteria

Microorganisms responsible for VAP VAP Ventilator-associated pneumonia Values are as no. (%) Missing values n = 1 (in the no-corticosteroid group) MRSA, methicillin-resistant Staphylococcus aureus; MSSA, methicillin-sensitive Staphylococcus aureus *Contains other Streptococcus Spp., other Klebsiella Spp., other Citrobacter Spp. and other bacteria

Impact of corticosteroid use on patient outcomes

Twenty-eight-day mortality was significantly associated with corticosteroid exposure in unadjusted analysis and after adjusting for pre-specified confounders in complete case analysis, and after multiple imputation analysis. In adjusted analysis, corticosteroid use was associated with prolonged duration of MV after multiple imputation analysis, but not with ICU length of stay (Table 3). Associations between different corticosteroids and VAP, 28-day mortality, MV duration and ICU length of stay are presented in e-Table 1 VAP occurrence did not significantly modify the relationship between corticosteroids and mortality, duration of MV, or length of ICU stay (Table 6). However, a significant association was found between corticosteroids exposure and ICU mortality in the absence of exposure to VAP. Twenty-eight-day cumulative incidence of VAP, all-cause mortality, extubation alive and ICU discharge alive are presented in Additional file 1: e-Fig. 2.
Table 6

Association between corticosteroid use and mortality, MV duration and ICU length of stay according to VAP

Unadjusted analysisAdjusted analysisa
Multiple imputation analysisbComplete case-analysis
cHR (95%CI)P ValueP HetcHR (95%CI)P ValueP HetcHR (95%CI)P ValueP Het
All-cause 28-day mortality
 No VAP2.36 (1.60–3.46) < 0.00010.181.95 (1.31–2.90)0.0010.151.61 (1.03–2.51)0.0340.44
 VAP1.50 (0.87–2.59)0.141.18 (0.66–2.10)0.561.21 (0.67–2.17)0.51
MV duration
 No VAP1.20 (0.90–1.61)0.270.401.29 (0.96–1.73)0.0860.191.46 (1.03–2.05)0.030.050
 VAP0.96 (0.62–1.50)0.680.90 (0.57–1.42)0.660.81 (0.49–1.31)0.39
Length of ICU stay
 No VAP0.68 (0.48–0.96)0.0270.820.76 (0.53–1.07)0.110.780.84 (0.56–1.26)0.400.46
 VAP0.73 (0.44–1.19)0.210.69 (0.42–1.14)0.150.65 (0.38–1.12)0.12

ARDS acute respiratory distress syndrome, BMI body mass index, cHR cause-specific hazard ratio, CI confidence interval, ICU intensive care unit SAPS II Simplified Acute Physiology Score II, VAP ventilator-associated pneumonia

aAdjusted for age, gender, BMI, SAPS II, McCabe classification, immunosuppression, recent hospitalization, recent antibiotics, shock, ARDS, cardiac arrest

bAfter handling missing values by multiple imputation (m = 20)

P Het: P Value for the heterogeneity test of effects according to occurrence of VAP

Association between corticosteroid use and mortality, MV duration and ICU length of stay according to VAP ARDS acute respiratory distress syndrome, BMI body mass index, cHR cause-specific hazard ratio, CI confidence interval, ICU intensive care unit SAPS II Simplified Acute Physiology Score II, VAP ventilator-associated pneumonia aAdjusted for age, gender, BMI, SAPS II, McCabe classification, immunosuppression, recent hospitalization, recent antibiotics, shock, ARDS, cardiac arrest bAfter handling missing values by multiple imputation (m = 20) P Het: P Value for the heterogeneity test of effects according to occurrence of VAP

Discussion

In this ancillary study of the coVAPid study, we found no significant association between adjuvant corticosteroid treatment and the incidence of VAP in a population of SARS-CoV-2 patients invasively ventilated for over 48 h. However, we found a time-varying effect of corticosteroid adjuvant therapy on the incidence of VAP over the 28-day period. The incidence of VAP in the SARS-CoV-2 population was high, nearly half of the patients presenting at least one VAP episode during ICU stay, irrespective of corticosteroid use. This result is in line with several previous studies that reported high incidence of VAP in critically ill COVID-19 patients [3, 8–10, 17]. Following the RECOVERY trial, corticosteroid adjuvant use dramatically increased in critically ill COVID-19 patients, although only 15% patients were invasively ventilated in this trial. In invasively ventilated COVID-19 patients, high rates of ARDS, prolonged ICU stay and IMV duration along with immunologic disorders and neuromuscular blocking agent use expose these patients to higher risk of developing VAP and one could question the impact of wide use of corticosteroids on the incidence of hospital-acquired infections (HAI) and VAP in this population, already at higher risk for these infections. In COVID-19 patients, VAP is a serious complication, as our group and others demonstrated a significant association between VAP and mortality in this population [25, 26]. To date, there is no prospective interventional study that evaluated the impact of corticosteroid use on the incidence of VAP, as the RECOVERY study itself did not include it as an outcome. However, there is a growing body of evidence in the literature pointing out the increased risk of developing VAP in COVID-19 patients treated with corticosteroids [16–19, 27, 28]. A recent study by Mesland et al. [17]. reported, among 322 COVID-19 patients invasively ventilated, a significantly higher incidence for VA-LRTI in patients receiving corticosteroid adjuvant therapy compared with those who did not. Corticosteroids were found to be an independent factor associated with VA-LRTI in a multivariable adjusted analysis. Another recent study found the same association between corticosteroid use and VA-LRTI [18]. However, other studies suggested no association between corticosteroid exposure and the incidence of VA-LRTI in COVID-19 [15, 29]. In our study, we did not find a significant association between corticosteroid exposure and VAP incidence during the 28-day period of follow-up. However, our results suggest a trend toward a time-varying effect of corticosteroid exposure on the incidence of VAP. This time-varying effect increased all along the 28-day follow-up, and the association between corticosteroid use and VAP became statistically significant after the 14th day of mechanical ventilation. Several explanations could be provided for this time-varying effect. First, corticosteroid-immunosuppressive effect is a time-dependent but also a cumulative-dose-dependent mechanism [30] that may explain the late occurrence of hospital-acquired infections in treated patients. Second, sepsis-associated immunosuppression is a time-dependent process occurring in the late course of ICU stay, resulting in immunoparalysis and ICU-acquired infection [31, 32]. Finally, SARS-CoV-2-mediated immune dysfunction is associated with a progressive lymphopenia [33, 34], and a multifactorial immunosuppression culminating after day 14 [35] that exposes patients to late-onset ICU-acquired infection. Our study reports higher 28-day mortality and longer MV duration in the group of patients who received adjuvant corticosteroid treatment, as compared to those who did not. The main reason for this discrepancy with results of randomized controlled trials [13, 36] might be the observational design of this study taking place before the RECOVERY era when corticosteroid prescriptions were at the discretion of attending physicians who selected the sickest patients to receive these treatments. Septic shock, non-resolving ARDS and intense systemic inflammation were the main reasons for corticosteroid adjuvant therapy, and this led de facto to a poorer prognosis in the corticosteroid-treated patients. Several other observational studies also failed to demonstrate this benefit from corticosteroids [17, 36]. Microorganisms responsible for VAP in our study did not differ between the corticosteroid treated and non-treated patients. In line with previous results, Gram-negative bacilli were the main bacteria found in respiratory tract samples with a high rate of Enterobacteriaceae and Pseudomonas aeruginosa. Methicillin-sensitive Staphylococcus aureus was the main Gram-positive cocci, and the rate of multidrug-resistant bacteria was also high [3, 15, 17]. To our knowledge, our study is the largest multicenter study to examine the impact of corticosteroid adjuvant therapy on the incidence of VAP in COVID-19 patients, and the first to show a varying association between corticosteroid use and the incidence of VAP. Additional strengths of our study are the large number of patients, the multicenter design and the strict definition of VAP with quantitative microbiological documentation for each event. However, some limitations should be mentioned. First, the observational retrospective design of our study taking place before the RECOVERY era is responsible for possible selection bias with disparate use of corticosteroids among centers that intentionally selected the sickest patients to receive corticosteroids, leading to poorer outcomes. Second, a small proportion of included patients (30%) received corticosteroids, which could also introduce a selection bias. Third, in our study we collected all steroid prescriptions irrespective of variations in molecule, duration and dosage. The impact of this discrepancy on patient outcomes might be real, yet no data support this in the literature.

Conclusions

We found no significant association between corticosteroid adjuvant therapy and the incidence of VAP in the population of invasively ventilated patients for a SARS-CoV-2 pneumonia. However, we found a time-varying effect of corticosteroid adjuvant therapy on the cause-specific estimated risk of developing VAP throughout patient course in ICU. Further studies are needed to clarify the role and effects of adjuvant corticosteroid treatment in the sickest COVID-19 patients. Future research should also investigate the interest of a corticosteroid-use strategy based on patient inflammatory phenotypes. Additional file 1. Supplementary e-figures and e-tables.
  33 in total

1.  Mechanisms of glucocorticoid-induced immunosuppression: inhibitory effects on expression of Fc receptors and production of T-cell growth factor.

Authors:  G R Crabtree; S Gillis; K A Smith; A Munck
Journal:  J Steroid Biochem       Date:  1980-01       Impact factor: 4.292

2.  Early Corticosteroid Therapy May Increase Ventilator-Associated Lower Respiratory Tract Infection in Critically Ill Patients with COVID-19: A Multicenter Retrospective Cohort Study.

Authors:  Jean-Baptiste Mesland; Eric Carlier; Bruno François; Nicolas Serck; Ludovic Gerard; Charlotte Briat; Michael Piagnerelli; Pierre-François Laterre
Journal:  Microorganisms       Date:  2022-05-08

3.  Introduction to the Analysis of Survival Data in the Presence of Competing Risks.

Authors:  Peter C Austin; Douglas S Lee; Jason P Fine
Journal:  Circulation       Date:  2016-02-09       Impact factor: 29.690

4.  Ventilator-associated pneumonia in critically ill patients with COVID-19.

Authors:  Mailis Maes; Ellen Higginson; Joana Pereira-Dias; Martin D Curran; Surendra Parmar; Fahad Khokhar; Delphine Cuchet-Lourenço; Janine Lux; Sapna Sharma-Hajela; Benjamin Ravenhill; Islam Hamed; Laura Heales; Razeen Mahroof; Amelia Soderholm; Sally Forrest; Sushmita Sridhar; Nicholas M Brown; Stephen Baker; Vilas Navapurkar; Gordon Dougan; Josefin Bartholdson Scott; Andrew Conway Morris
Journal:  Crit Care       Date:  2021-01-11       Impact factor: 9.097

5.  Infectious events in patients with severe COVID-19: results of a cohort of patients with high prevalence of underlying immune defect.

Authors:  Anastasia Saade; Giulia Moratelli; Guillaume Dumas; Asma Mabrouki; Jean-Jacques Tudesq; Lara Zafrani; Elie Azoulay; Michael Darmon
Journal:  Ann Intensive Care       Date:  2021-05-25       Impact factor: 6.925

6.  Co-infection and ICU-acquired infection in COIVD-19 ICU patients: a secondary analysis of the UNITE-COVID data set.

Authors:  Andrew Conway Morris; Katharina Kohler; Thomas De Corte; Maurizio Cecconi; Jan De Waele; Ari Ercole; Harm-Jan De Grooth; Paul W G Elbers; Pedro Povoa; Rui Morais; Despoina Koulenti; Sameer Jog; Nathan Nielsen; Alasdair Jubb
Journal:  Crit Care       Date:  2022-08-03       Impact factor: 19.334

7.  Risk factors and outcomes of ventilator-associated pneumonia in COVID-19 patients: a propensity score matched analysis.

Authors:  María Martínez-Martínez; Erika P Plata-Menchaca; Francesc X Nuvials; Oriol Roca; Ricard Ferrer
Journal:  Crit Care       Date:  2021-07-06       Impact factor: 9.097

8.  Dexamethasone in Hospitalized Patients with Covid-19.

Authors:  Peter Horby; Wei Shen Lim; Jonathan R Emberson; Marion Mafham; Jennifer L Bell; Louise Linsell; Natalie Staplin; Christopher Brightling; Andrew Ustianowski; Einas Elmahi; Benjamin Prudon; Christopher Green; Timothy Felton; David Chadwick; Kanchan Rege; Christopher Fegan; Lucy C Chappell; Saul N Faust; Thomas Jaki; Katie Jeffery; Alan Montgomery; Kathryn Rowan; Edmund Juszczak; J Kenneth Baillie; Richard Haynes; Martin J Landray
Journal:  N Engl J Med       Date:  2020-07-17       Impact factor: 91.245

9.  Secondary pneumonias in critically ill patients with COVID-19: risk factors and outcomes.

Authors:  Pedro Povoa; Ignacio Martin-Loeches; Saad Nseir
Journal:  Curr Opin Crit Care       Date:  2021-07-27       Impact factor: 3.687

10.  Clinical characteristics and day-90 outcomes of 4244 critically ill adults with COVID-19: a prospective cohort study.

Authors: 
Journal:  Intensive Care Med       Date:  2020-10-29       Impact factor: 41.787

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