Relationship between SARS-CoV-2 infection and the incidence of ventilator-associated lower respiratory tract infections: a European multicenter cohort study.

PURPOSE: Although patients with SARS-CoV-2 infection have several risk factors for ventilator-associated lower respiratory tract infections (VA-LRTI), the reported incidence of hospital-acquired infections is low. We 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.
METHODS: Multicenter retrospective European cohort performed in 36 ICUs. All adult patients receiving invasive mechanical ventilation > 48 h were eligible if they had: SARS-CoV-2 pneumonia, influenza pneumonia, or no viral infection at ICU admission. VA-LRTI, including ventilator-associated tracheobronchitis (VAT) and ventilator-associated pneumonia (VAP), were diagnosed using clinical, radiological and quantitative microbiological criteria. All VA-LRTI were prospectively identified, and chest-X rays were analyzed by at least two physicians. Cumulative incidence of first episodes of VA-LRTI was estimated using the Kalbfleisch and Prentice method, and compared using Fine-and Gray models.
RESULTS: 1576 patients were included (568 in SARS-CoV-2, 482 in influenza, and 526 in no viral infection groups). VA-LRTI incidence was significantly higher in SARS-CoV-2 patients (287, 50.5%), as compared to influenza patients (146, 30.3%, adjusted sub hazard ratio (sHR) 1.60 (95% confidence interval (CI) 1.26 to 2.04)) or patients with no viral infection (133, 25.3%, adjusted sHR 1.7 (95% CI 1.2 to 2.39)). Gram-negative bacilli were responsible for a large proportion (82% to 89.7%) of VA-LRTI, mainly Pseudomonas aeruginosa, Enterobacter spp., and Klebsiella spp.
CONCLUSIONS: The incidence of VA-LRTI is significantly higher in patients with SARS-CoV-2 infection, as compared to patients with influenza pneumonia, or no viral infection after statistical adjustment, but residual confounding may still play a role in the effect estimates.

Take-home message

Introduction

The novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the cause of a rapidly spreading illness, Coronavirus Disease 2019 (COVID-19), affecting millions of people worldwide. A large percentage (17–32%) of patients hospitalized for SARS-CoV-2 infection are admitted to the intensive care unit (ICU) [1-3]. In spite of frequent use of high flow nasal oxygen and noninvasive mechanical ventilation (55%, and 16%, respectively), intubation and invasive mechanical ventilation are required in approximately 10% of patients hospitalized for SARS-CoV-2-related infection [3].

Ventilator-associated lower respiratory tract infections (VA-LRTI), including ventilator-associated tracheobronchitis (VAT), and ventilator-associated pneumonia (VAP) are common in critically ill patients receiving invasive mechanical ventilation [4]. These infections are associated with increased duration of mechanical ventilation and ICU stay [5]. In addition, VAP is associated with increased mortality and cost [6]. Patients with SARS-CoV-2 pneumonia could be at increased risk for VA-LRTI, because of acute respiratory distress syndrome (ARDS), and the long duration of mechanical ventilation. ARDS is a well-known risk factor for VAP [7, 8], and its incidence in mechanically ventilated patients with SARS-CoV-2 pneumonia was reported to be as high as 42–89% [1, 9]. In addition, immunosuppressive agents are commonly used in patients with SARS-CoV-2 infection [1], and SARS-CoV-2 is responsible for altered immune response [10-12]. However, based on the scarce available data, the incidence of hospital-acquired infections (HAI) appears to be low (13.5%) [13]. The low incidence of HAI could be explained by strict hygiene and isolation measures, alteration of gut microbiota induced by SARS-CoV-2, and less pronounced innate immune suppression in these patients [14-16]. To our knowledge, no study to date has specifically addressed the impact of SARS-CoV-2 infection on the incidence of VA-LRTI.

We hypothesized that the incidence of VA-LRTI would be lower in patients with SARS-CoV-2 pneumonia, as compared to those with influenza pneumonia, or no viral infection. Therefore, we conducted this multicenter cohort study to determine the relationship between SARS-CoV-2 infection and the incidence, and etiology of VA-LRTI.

Methods

Study design and population

This multicenter retrospective observational cohort study was conducted in 36 ICUs in Europe (28 centers in France, 3 in Spain, 3 in Greece, 1 in Portugal and 1 in Ireland), selected by invitation. Eligibility criteria included age equal or above 18 years, the need for invasive mechanical ventilation for more than 48 h, and one of the following criteria at ICU admission: (1) SARS-CoV-2 pneumonia, (2) influenza (A or B) pneumonia, or (3) no viral infection. Exclusion criteria included age < 18 years, duration of mechanical ventilation equal or less than 48 h, and the presence of viral infection, other than SARS-CoV-2 or influenza, at ICU admission.

Participating centers retrospectively collected data from consecutive patients admitted to their ICU with SARS-CoV-2, influenza pneumonia, or no viral infection. Centers were invited to include the same number of patients in each of the three study groups (up to 20 patients per group, and 60 patients in total).

In the SARS-CoV-2 group, consecutive patients with SARS-CoV-2 pneumonia were included, starting at the beginning of the COVID-19 pandemic in each center. SARS-CoV-2 infection was confirmed by positive polymerase chain reaction (PCR) testing of a nasopharyngeal or respiratory secretions samples. In the influenza group, consecutive patients with influenza A or B pneumonia were included starting from the last patients admitted with this diagnosis this year and going back to previous seasons if necessary. Influenza pneumonia was diagnosed based on a positive nasopharyngeal or airway secretions PCR test. In the third group, consecutive patients admitted to the ICU for any reason, with no viral infection at ICU admission, were included from January 31, 2020 back to 2019 if necessary.

The Ethics Committee, and Institutional Review Boards approved the 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, and waived the requirement for informed consent. In accordance with the French law, the database was registered into the “Commission Nationale l’Informatique et des Libertés”. Based on CNIL request, patients or their proxies received information about the study and were given the possibility to refuse using their personal data. This was not required in countries other than France. The study was registered at ClinicalTrials.gov, number NCT04359693.

Data collection

Patient demographic characteristics, severity scores, comorbidities, reasons for ICU admission, prior hospitalization or antibiotic exposure (during the three months preceding ICU admission) were recorded at baseline for all patients. Data on antibiotic, antiviral and steroid treatments received during ICU stay, as well as prone positioning or use of extracorporeal membrane oxygenation (ECMO), were obtained. Further, clinical, biological, radiological and microbiological diagnostic criteria for VA-LRTI, and clinical outcomes (duration of mechanical ventilation, ICU length of stay, ICU mortality and 28-day mortality) were collected. Patients were followed up until day 28 or ICU discharge, if it occurred before.

Definitions

Ventilator-associated lower respiratory tract infection

The diagnosis of VA-LRTI was based on the presence of at least two of the following criteria: body temperature of more than 38.5 °C or less than 36.5 °C, leucocyte count greater than 12000 cells per μL or less than 4000 cells per μL, and purulent tracheal secretions [4]. Additionally, all episodes of infection needed microbiological confirmation, with the isolation in the endotracheal aspirate of at least 105 colony-forming units (CFU) per mL, or in bronchoalveolar lavage of at least 104 CFU per mL. VAT was defined with the above-mentioned criteria with no radiographic signs of new pneumonia. VAP was defined by the presence of new or progressive infiltrates on chest X-ray. Only first episodes of VAT and VAP occurring more than 48 h after starting invasive mechanical ventilation were analyzed. VAP was defined as occurring subsequently to VAT if it was diagnosed in the 96 h period after diagnosis of VAT and if the same microorganism caused both infections. All VA-LRTI episodes were prospectively identified, and chest X-rays, and other definition criteria were reviewed by at least two attending physicians. In case of disagreement, a third physician was asked to interpret the radiograph.

Antibiotic treatment and microbiological data

Antibiotic treatment was considered appropriate when at least one antibiotic, matching the in vitro susceptibility of the pathogen causing VA-LRTI, was administered to treat this infection [17]. Microbiological identification and susceptibility tests were performed using standard methods. Multidrug resistant (MDR) isolates were defined as acquired non-susceptibility to at least one agent in three or more antimicrobial categories [18].

Outcomes

The primary outcome of our study was the incidence of VA-LRTI, including VAT and VAP, among patients admitted to ICU with SARS-CoV-2 infection, as compared to Influenza and no viral infection groups. The secondary endpoint was the etiology of VA-LRTI.

Statistical analysis

We planned to include a total of 1071 patients (357 per group) to have a statistical power of 80% to demonstrate, with a two-sided test at 0.025 level (to consider the two comparisons by applying a Bonferroni correction), a difference of 10% in 28-day cumulative incidence of first episodes of VA-LRTI in favor of SARS-CoV-2 pneumonia group against Influenza pneumonia or no viral infection groups. The sample size was calculated using PASS 12 (Logrank Test Accounting for Competing Risks) [19] on the basis of an expected rate of 20% in the two non-SARS-CoV-2 groups and 10% in SARS-CoV-2 group and an expected competing event rate of 30% in non-SARS-CoV-2 groups and 50% in SARS-CoV-2 group [4].

Quantitative variables were expressed as medians (interquartile range) and categorical variables were expressed as numbers (percentage). Patient characteristics at ICU admission and during ICU stay were described according to study groups (SARS-CoV-2 pneumonia vs. Influenza pneumonia vs. no viral infection) without formal statistical comparisons.

The 28-day cumulative incidence of first episodes of VA-LRTI (VA-LRTI, VAT, VAP) were estimated using the Kalbfleisch and Prentice method [20], considering extubation within 28-day (dead or alive) as a competing event. For VAT and VAP incidence, occurrence of VAP and VAT was respectively treated as a competing event, in addition to extubation. Comparison of the incidence of first episodes of VA-LRTI between study groups was done using Gray’ test to consider competing events. Subhazard ratios (and their 95% confidence intervals (CIs)) associated with SARS-CoV-2 pneumonia, against each other group, were calculated using univariable Fine-and Gray models as effect sizes. Comparisons were further adjusted for pre-specified confounders known to be associated with VA-LRTI incidence (age, gender, SAPS II, MacCabe classification, Immunosuppression, recent hospitalization, recent antibiotic, and ARDS) [8] by using multivariable Fine-and Gray models. Regarding the causal relationship, we also assessed the association of VA-LRTI with SARS-CoV-2 pneumonia using univariable and multivariable cause-specific Cox’s proportional hazard models.

To avoid case-deletion in multivariate analyses due to presence of missing data in covariates, multivariable Fine-and Gray models, and cause-specific Cox’s, were performed after handling missing data on patient’s characteristics at ICU admission using multiple imputation procedure [21]. Imputation procedure was performed using regression switching approach (chained equations with m = 20 imputations obtained) under the missing at random assumption by considering outcomes (event status and log of event time) and all baseline characteristics (see ESM Table 1 for missing data pattern and see ESM Table 2 for baseline data in complete and incomplete cases) in imputed models. Predictive mean matching method, and logistic regression model (binary, ordinal or multinomial) were used for quantitative, and categorical variables; respectively. We used 20 imputations, allowing a maximal fraction of missing information (FMI)/m < 0.1 in all analyses (see ESM Table 3). Estimates obtained in the different imputed data sets were combined using Rubin’s rules [22].

Data were analyzed using the SAS software package, release 9.4 (SAS Institute, Cary, NC).

Results

In total, 1576 patients were included (from March 2016 through May 2020) in the 36 participating centers (568 in SARS-CoV-2 pneumonia group, 482 in influenza pneumonia group, and 526 in no viral infection group).

Patient characteristics at ICU admission

The percentage of medical admission category, ARDS, and body mass index (BMI) were higher in SARS-CoV-2 pneumonia group, as compared to the two other groups. SAPS II, SOFA score, comorbidities, and ratio of recent hospitalization, recent antimicrobial treatment, shock, cardiac arrest, neurological or acute kidney injury were lower in SARS-CoV-2 pneumonia group, as compared to the two other groups (Table 1, and ESM Fig. 1). Influenza A and B were diagnosed in 421 (87.3%), and 61 (12.7%) of patients with influenza pneumonia, respectively.

Table 1

Patient characteristics at ICU admission

	SARS-CoV-2 pneumonia(n = 568)	Influenza pneumonia(n  = 482)	No viral infection(n  = 526)
Age, yearsa	64 (55–71)	62 (53–71)	65 (55–74)
Men	407/568 (71.7)	298/482 (61.8)	353/524 (67.4)
Body mass index, kg/m2b	28.9 (25.8–33.3)	27.5 (23.3–32.3)	26.5 (22.8–31)
Severity scores
SAPS IIc	41 (32–55)	50 (39–64)	56 (42–67)
SOFA scored	6 (3–8)	8 (6–11)	9 (6–11)
Comorbidity scores
MacCabe classification
Non-fatal	475/543 (87.5)	324/456 (71.1)	315/489 (64.4)
Fatal < 5 years	62/543 (11.4)	114/456 (25)	137/489 (28)
Fatal < 1 year	6/543 (1.1)	18/456 (3.9)	37/489 (7.6)
Charlson Comorbidity Indexe	3 (1–4)	3 (2–5)	4 (2–6)
Chronic diseases
Diabetes mellitus	168/565 (29.7)	104/474 (21.9)	132/519 (25.4)
Chronic renal failure	33/559 (5.9)	39/475 (8.2)	45/521 (8.6)
Heart disease	103/560 (18.4)	117/476 (24.6)	134/518 (25.9)
Chronic heart failure	21/558 (3.8)	37/475 (7.8)	50/518 (9.7)
COPD	37/560 (6.6)	129/475 (27.2)	98/521 (18.8)
Chronic respiratory failure	20/558 (3.6)	67/475 (14.1)	49/518 (9.5)
Cirrhosis	8/559 (1.4)	16/475 (3.4)	36/516 (7)
Immunosuppression	52/559 (9.3)	107/479 (22.3)	117/520 (22.5)
Active smoking	29/560 (5.2)	149/476 (31.3)	137/519 (26.4)
Alcohol abuse	34/558 (6.1)	85/475 (17.9)	132/519 (25.4)
Location before ICU admission
Home	271/568 (47.7)	275/481 (57.2)	265/526 (50.4)
Hospital ward	215/568 (37.9)	157/481 (32.6)	230/526 (43.7)
Another ICU	82/568 (14.4)	49/481 (10.2)	31/526 (5.9)
Admission category
Medical	567/568 (99.8)	480/482 (99.6)	467/526 (88.8)
Surgical	0/568 (0)	0/482 (0)	17/526 (3.2)
Trauma	1/568 (0.2)	2/482 (0.4)	42/526 (8)
Recent hospitalization (< 3 months)	44/566 (7.8)	72/479 (15)	148/524 (28.2)
Recent antibiotics (< 3 months)	74/567 (13.1)	95/477 (19.9)	103/524 (19.7)
Causes for ICU admission
Shock	102/557 (18.3)	210/470 (44.7)	244/515 (47.4)
Acute respiratory failure	521/567 (91.9)	433/461 (90.2)	279/505 (54.4)
ARDS	386/563 (68.6)	220/469 (46.9)	72/509 (14.1)
Neurological failure	26/548 (4.7)	69/465 (14.8)	191/509 (37.5)
Cardiac arrest	3/547 (0.6)	25/465 (5.4)	84/508 (16.5)
Acute renal failure	96/567 (17.5)	133/480 (28.9)	136/513 (26.9)

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

McCabe classification of comorbidities and likelihood of survival, likely to survive > 5 years, 1–5 years, < 1 year; Chronic renal failure, 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 cancer, hematological malignancy, allogeneic stem cell transplant, 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

a1 missing value in influenza group

b160 missing values (SARS-CoV-2, n = 32; influenza, n = 68; controls, n = 60)

c87 missing values (SARS-CoV-2, n = 43; influenza, n = 21; controls, n = 21)

d27 missing values (SARS-CoV-2, n = 21; influenza, n = 4; controls, n = 2)

e50 missing values (SARS-CoV-2, n = 19; influenza, n = 11; controls, n = 20)

Patient characteristics during ICU stay

Corticosteroids, exposure to antimicrobials, and ECMO were comparable in SARS-CoV-2 and influenza pneumonia groups, but higher compared to the no viral infection group. Duration of exposure to antimicrobials was comparable in the three groups. The dose and duration of corticosteroids were higher in SARS-CoV-2 pneumonia group, as compared to the other groups. Prone positioning was more common in SARS-CoV-2 pneumonia group, compared to other groups. Duration of mechanical ventilation and ICU stay were longer in SARS-CoV-2 pneumonia group, compared to other groups. ICU mortality and 28-day mortality were comparable in the three groups (Table 2). Total duration of antimicrobial treatment was longer in SARS-CoV-2 patients, as compared to patients with influenza, or no viral infection (Median (IR) 12 days (7, 18), 10 (7, 18), 8 (5, 15); respectively).

Table 2

Patient characteristics during ICU stay

	SARS-CoV-2 pneumonia(n = 568)	Influenza pneumonia(n = 482)	No viral infection(n = 526)
Antiviral treatment	322/566 (56.9)	437/481 (90.9)	24/523 (4.6)
Oseltamivir	44/563 (7.8)	430/475 (90.5)	22/521 (4.2)
Remdesivir	27/563 (4.8)	0/475 (0)	0/521 (0)
Lopinavir–Ritonavir	147/563 (26.1)	0/475 (0)	0/521 (0)
Lopinavir–Ritonavir + interferon	21/563 (3.7)	0/475 (0)	0/521 (0)
Hydroxychloroquine	173/563 (30.7)	1/475 (0.2)	0/521 (0)
Corticosteroids	202/542 (37.3)	182/475 (38.3)	161/525 (30.7)
Hydrocortisone	59/537 (11)	107/473 (22.6)	80/520 (15.4)
Dexamethasone	48/537 (8.9)	1/473 (0.2)	10/520 (1.9)
Methylprednisolone	91/537 (16.9)	73/473 (15.4)	68/520 (13.1)
Highest daily dose, mga	100 (50–133)	50 (50–100)	50 (50–100)
Duration, daysb	6 (4–9)	5 (3–9)	4 (3–7)
Antibiotic treatment	506/531 (95.3)	434/458 (94.8)	415/496 (83.7)
Duration, daysc	7 (5–9)	7 (4–10)	7 (4–9)
Prone positioning	383/567 (67.5)	151/481 (31.4)	63/522 (12.1)
ECMO	61/567 (10.8)	60/480 (12.5)	5/523 (1)
28-day outcomes
MV duration, days	15 (9–23)	10 (6–21)	8 (5–16)
Ventilator-free days	4 (0–16)	10 (0–21)	12 (0–22)
ICU length of stay, days	18 (12–27)	14.0 (8–27)	12 (7–21)
ICU-free days	0 (0–12)	2 (0–17)	4 (0–17)
ICU mortality	164/568 (28.9)	125/482 (25.9)	173/526 (32.9)
28-day mortality	166/568 (29.2)	132/482 (27.4)	182/526 (34.6)

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

In patients with VA-LRTI, duration of exposure to antibiotic treatment and corticosteroids was only taken before VA-LRTI. Corticosteroid regimens are reported as prednisone equivalent

ECMO Extracorporeal Membrane Oxygenation, ICU Intensive Care Unit, MV mechanical ventilation

a11 missing values (SARS-CoV-2, n = 4; influenza, n = 4; controls, n = 3)

b16 missing values (SARS-CoV-2, n = 7; influenza, n = 3; controls, n = 6)

cduration of antibiotic treatment was taken into account before VA-LRTI

Incidence of VA-LRTI

A large proportion of VA-LRTI was diagnosed after the first week of mechanical ventilation.

The incidence of VA-LRTI was significantly higher in SARS-CoV-2 pneumonia group than in the two other groups (Table 3, Fig. 1, p value adjusted for multiple comparison using Bonferroni method p ≤ 0.001). This difference remained significant after adjustment for pre-specified confounding factors at ICU admission in both multiple imputation analyses using Fine-and Gray models, the one after (subhazard ratio (95% CI) 1.60 (1.26–2.04) for SARS-CoV-2 vs. Influenza and 1.70 (1.20–2.39) for SARS-CoV-2 vs. No viral infection), as well as the other using complete-available cases (ESM Table 4). However, the association was reduced in cause-specific analysis with an adjusted cHRs (95% CI) of 1.41 (1.10–1.80) for SARS-CoV-2 vs. Influenza and 1.24 (0.97–1.59) for SARS-CoV-2 vs. no viral infection. The cumulative incidence of VAT, and VAP (as first events) was also higher in SARS-CoV-2 pneumonia group than in the two other groups (Table 3). However, in multivariate analysis, only cumulative incidence of VAP remained significantly higher in SARS-CoV-2 group compared to two other groups (Table 3), this association was also reduced in cause-specific specific analysis (ESM Table 5).

Table 3

Incidence of first episodes of ventilator-associated lower respiratory tract infections

					Unadjusted SHR (95%CI)		Adjusted SHR (95%CI)e
	SARS-CoV-2 (n = 568)	Influenza (n = 482)	No viral infection (n = 526)	p valuea	SARS-CoV-2 vs. Influenza	SARS-CoV-2 vs. No viral infection	SARS-CoV-2 vs. Influenza	SARS-CoV-2 vs. No viral infection
VALRTI	287 (50.5)	146 (30.3)	133 (25.3)	< 0.0001	1.87 (1.53–2.27)b	2.27 (1.84–2.79)b	1.60 (1.26–2.04)b	1.7 (1.2–2.39)b
VATc	82 (14.4)	39 (8.1)	46 (8.8)	0.0001	1.83 (1.25–2.68)b	1.69 (1.18–2.43)b	1.50 (0.89–2.54)	1.25 (0.7–2.2)
VAPd	205 (36.1)	107 (22.2)	87 (16.5)	< 0.0001	1.74 (1.38–2.2)b	2.38 (1.84–3.06)b	1.57 (1.2–2.04)b	1.84 (1.26–2.7)b

Values are number of first events (28-day cumulative incidence expressed as %, considering extubations (death or alive) as competing events)

SHR calculated using marginal Fine and Gray’s models for clustered (center) data

ARDS Acute respiratory Distress Syndrome, SAPS II Simplified Acute Physiology Score II, VALRTI ventilator-associated respiratory tract infection; VAT, ventilator-associated tracheobronchitis, VAP ventilator-associated pneumonia

ap value for global comparison between the three groups (Gray’s test considering extubations as competing events)

bp values < 0.05 for comparison with SARS-CoV-2 after applying Bonferroni correction

cTreating VAP as a competing event (in addition to extubations)

dTreating VAT as a competing event (in addition to extubations)

eAdjusted for predefined confounders (age, gender, SAPS II, MacCabe classification, Immunosuppression, recent hospitalization, recent antibiotic, and ARDS), and calculated after handling missing values on covariates by multiple imputation (m = 20)

Fig. 1

The 28-day cumulative incidence of ventilator-associated lower respiratory tract infections. Cumulative incidence estimated using Kalbfleish and Prentice method, considering extubation (dead or alive) within 28 days as competing event. VA-LRTI ventilator-associated respiratory tract infection, MV mechanical ventilation

Characteristics of patients with VA-LRTI

In the three study groups, SOFA score, clinical pulmonary infection score (CPIS), PaO2/FiO2, the rate of bronchoalveolar lavage, antibiotic treatment, and appropriate antibiotic treatment were lower in patients with VAT, as compared to those with VAP (Table 4). Transition from VAT to VAP was diagnosed in 21 (12.6%) of 167 patients (including 10 of 82 (12.2%), 2 of 39 (5.1%), and 9 of 46 (19.6%) in patients with SARS-CoV-2 pneumonia, influenza pneumonia, and no viral infection; respectively).

Table 4

Patient characteristics at the day of VALRTI diagnosis

	SARS-CoV-2 pneumonia		Influenza pneumonia		No viral infection
	VAT (n = 82)	VAP (n = 205)	VAT (n = 39)	VAP (n = 107)	VAT (n = 46)	VAP (n = 87)
SOFA scorea	6 (4–11)	8 (5–11)	6 (4–10)	8 (5–12)	6 (4–8)	7 (5–9)
Diagnostic procedure
Endotracheal aspirates	68/82 (82.9)	125/205 (61.6)	28/39 (71.8)	59/105 (56.2)	35/46 (77.8)	62/87 (72.9)
Bronchoalveolar lavage	14/82 (17.1)	78/205 (38.4)	11/39 (28.2)	46/105 (43.8)	10/46 (22.2)	23/87 (27.1)
Modified CPISb	5 (3–7)	6 (5–7)	5 (3–7)	6 (5–7)	5 (4–6)	6 (5–8)
PaO2/FiO2c	175 (131–220)	135 (92–180)	180 (138–254)	150 (115–191)	218 (160–303)	180 (140–228)
Antibiotic treatment	67/82 (81.7)	191/205 (93.2)	31/39 (79.5)	98/105 (93.3)	36/46 (78.3)	82/87 (94.3)
Appropriate antibiotic treatment	40/81 (49.4)	145/200 (72.5)	16/37 (43.2)	69/102 (67.6)	26/44 (59.1)	54/87 (62.1)

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

CPIS Clinical Pulmonary infection Score, PaO2/FiO2 arterial oxygen partial pressure/fractional inspired oxygen, SOFA Sequential Organ Failure Assessment

a11 missing values

b19 missing values

c30 missing values

Microbiological results

Gram-negative bacilli were responsible for the majority of VA-LRTI first episodes in the three study groups. Pseudomonas aeruginosa, Enterobacter spp., and Klebsiella spp. were the most commonly identified bacteria (Table 5). The rate of patients with VA-LRTI related to MDR bacteria was lower in SARS-CoV-2 pneumonia group, as compared to the two other groups.

Table 5

Microorganisms responsible for ventilator-associated lower respiratory tract infections

	SARS-CoV-2 pneumonia(n = 287)	Influenza pneumonia(n = 146)	No viral infection(n = 133)
Gram-positive cocci	56 (19.5)	16 (11)	23 (17.3)
MSSA	27 (9.4)	7 (4.8)	13 (9.8)
MRSA	8 (2.8)	5 (3.4)	5 (3.8)
Enterococcus spp.	9 (3.1)	2 (1.4)	2 (1.5)
Streptococcus pneumoniae	8 (2.8)	1 (0.7)	2 (1.5)
Streptococcus spp.	4 (1.4)	1 (0.7)	1 (0.8)
Gram-negative bacilli	240 (83.6)	131 (89.7)	109 (82)
Pseudomonas aeruginosa	64 (22.3)	33 (23.1)	23 (17.3)
Enterobacter spp.	54 (18.8)	23 (15.8)	17 (12.8)
Klebsiella spp.	33 (11.5)	21 (14.4)	21 (15.8)
Escherichia coli	24 (8.4)	12 (8.2)	8 (6.1)
Acinetobacter baumannii	21 (7.3)	22 (15.1)	14 (10.5)
Stenotrophomonas maltophilia	10 (3.5)	3 (2.1)	7 (5.3)
Serratia marcescens	9 (3.1)	2 (1.4)	6 (4.5)
Citrobacter freundii	6 (2.1)	1 (0.7)	1 (0.8)
Citrobacter spp	8 (2.8)	3 (2.1)	4 (3)
Proteus mirabilis	5 (1.7)	1 (0.7)	1 (0.8)
Haemophilus influenza	3 (1)	6 (4.1)	6 (4.5)
Morganella morganii	3 (1)	4 (2.7)	1 (0.8)
Other	15 (5.2)	9 (6.2)	5 (3.8)
Polymicrobial	28 (9.8)	8 (5.5)	10 (7.5)
Multidrug-resistant isolates	67 (23.3)	56 (38.4)	45 (33.8)

Data are presented as N (%)

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

Discussion

The main results of our study are that the incidence of VA-LRTI is significantly higher in patients with SARS-CoV-2 pneumonia, as compared to patients with influenza pneumonia, or no viral infection at ICU admission. Gram-negative bacilli, mainly P. aeruginosa, Enterobacter spp., and Klebsiella spp., were responsible for the majority of VA-LRTI first episodes. MDR bacteria were less common in SARS-CoV-2 patients with VA-LRTI, as compared to the two other groups.

Previous studies, not specifically designed to evaluate the relationship between SARS-CoV-2 infection and VA-LRTI, reported low incidence of hospital-acquired pneumonia (11.5%) [13], and comparable incidence of VAP (25%) [1]. However, no clear definition was given for hospital-acquired pneumonia or VAP, and whether quantitative microbiological confirmation was required is unknown. Further, a relatively small number of SARS-CoV-2 patients were included in these studies, no control group was used, and no adjustment was performed for confounding factors.

Several potential explanations could be provided for the high incidence of VA-LRTI in patients with SARS-CoV-2 pneumonia. First, patients with SARS-CoV-2 pneumonia had longer duration of mechanical ventilation, and higher incidence of ARDS, than in the two other groups. These factors were identified as independent risk factors for VAP. On the other hand, SARS-CoV-2 pneumonia patients had lower severity scores at ICU admission, and less comorbidities than the two other groups. However, after careful adjustment for confounding factors, the incidence of VA-LRTI remained significantly higher in patients with SARS-CoV-2 pneumonia, as compared to the other groups. Nevertheless, as suggested by the less strong association between SARS-CoV-2 pneumonia and VA-LRTI using cause specific regression model, the higher incidence of VA-LRTI in patients with SARS-CoV-2 pneumonia is probably related, at least in part, to the longer duration of mechanical ventilation. Some immunosuppressive treatments commonly prescribed to patients with SARS-CoV-2 pneumonia, such as corticosteroids, might have also increased the risk for VA-LRTI. Although the rate of patients who received corticosteroids was not different between SARS-CoV-2 and influenza patients, the duration and dose of corticosteroids were higher in SARS-CoV-2 patients than in the two other groups. Second, one would expect lower rates of ICU-acquired infection in patients with SARS-CoV-2 pneumonia because strict hygiene measures are used to avoid cross-transmission of the virus [14]. In contrast, previous studies reported that contact isolation measures, especially inappropriate glove use, could increase the transmission of MDR bacteria [23-25]. However, the lower rate of MDR bacteria among patients with VA-LRTI in SARS-CoV-2 pneumonia, as compared to the two other groups (23.3%, 38.4%, and 33.8%; respectively) is against this hypothesis. Third, the surge of critically ill patients during the pandemic might have influenced the quality of critical care provided, and might have increased the risk for VA-LRTI. However, in some ICUs the ratio of nurse/patient was substantially increased and hygiene isolation measures were reinforced to protect other patients and healthcare workers. Another potential explanation would be specific pulmonary lesions related to SARS-CoV-2 infection. Whether ARDS related to COVID-19 is clinically different from ARDS related to other causes is a matter for debate [26]. However, histologic studies reported acute fibrinous and organizing pneumonia, characterized by an extensive intra-alveolar fibrin deposition and endothelial injury [27]. Distinctive vascular features, consisting of severe endothelial injury associated with the presence of intracellular virus and disrupted cell membranes was recently reported [28]. Widespread thrombosis distinguished the pulmonary pathophysiology of Covid-19, from that of equally severe influenza virus infection [28]. These lesions might promote local immunity alteration, bacterial colonization, and further lung infection [29]. However, further studies are required to confirm this hypothesis.

Although microorganisms responsible for VA-LRTI were comparable in the three groups, MDR bacteria incidence was lower in SARS-CoV-2 patients, as compared to the two other groups. This could be explained by the lower rate of recent antibiotic treatment and recent hospitalization in SARS-CoV-2 patients, as compared to the two other groups. However, duration of exposure to antimicrobials in the ICU was comparable in the three groups. Another possible explanation for the low incidence of MDR bacteria in SARS-CoV-2 patients is the better quality of hand hygiene in these patients [14].

To the best of our knowledge, this is the first study that evaluates the relationship between SARS-CoV-2 infection and the incidence of VA-LRTI in the critically ill patient. Strengths of our study are the large number of included patients, multicenter design, and the strict definition of VA-LRTI, requiring quantitative microbiological confirmation in all patients. However, some limitations of our study should be acknowledged. First, the study was retrospective and no blind external adjudication was performed to confirm VA-LRTI. However, all VA-LRTI were prospectively identified in all centers. Further, the presence of new infiltrate on chest X-ray was evaluated by at least two physicians. Second, we did not collect data on specific preventive measures in study patients, sedation and neuromuscular-agent use, or on compliance with hand-hygiene, and contact isolation measures. Third, all centers are located in Western Europe, mainly in France, with different distribution of MDR bacteria among participating countries. Therefore our results could not be generalized to other world regions. Fourth, ICU triage criteria, ICU efficiency, and isolation measures differed between the pandemic and the non-pandemic periods. However, microbiology criteria, sampling methods and VA-LRTI definition did not differ during the study period and were the same in all study groups. Further, the percentage of BAL/tracheal aspirate performed to diagnose VAT or VAP was quite similar between the three groups. During the pandemic it was impossible to have patients with diseases other than COVID-19, because ICUs were full with COVID-19 patients. Inclusions of patients with influenza or no viral infection, admitted to the ICU before the pandemic, allow a fair comparison of VA-LRTI incidence between COVID-19 patients and other at-risk patients. One could argue that the higher incidence of VA-LRTI in SARS-CoV-2 group, as compared to the other groups, is related to the higher number of microbiological sampling in these patients. Although the number of patients with suspected VA-LRTI was not collected, the higher mortality rate in patients with VAP as compared to those with no infection (data not shown) is against this hypothesis.

To conclude, the incidence of VA-LRTI is significantly higher in patients with SARS-CoV-2 pneumonia, as compared with patients with influenza pneumonia, or no viral infection at ICU admission. However, duration of mechanical ventilation was also higher in patients with SARS-CoV-2 pneumonia, as compared to other groups, and the association between the higher incidence of VA-LRTI and SARS-CoV-2 pneumonia may have not accounted for all relevant covariates. Efforts should be made to better understand the pathophysiology of VA-LRTI in patients with SARS-CoV-2 infection, and to improve preventive measures in this population.

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Supplementary file1 (DOCX 248 KB)

The incidence of VA-LRTI is significantly higher in patients with SARS-CoV-2 infection, as compared to patients with influenza pneumonia, or no viral infection.