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. 2021 Jul 6;25:235. doi: 10.1186/s13054-021-03654-x

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

María Martínez-Martínez 1, Erika P Plata-Menchaca 1, Francesc X Nuvials 1, Oriol Roca 1,2, Ricard Ferrer 1,2,
PMCID: PMC8258490  PMID: 34229747

Dear Editor

Mechanically ventilated patients with coronavirus disease (COVID-19) may be at an increased risk of developing ventilator-associated pneumonia (VAP). Our aim was to describe the clinical characteristics, risk factors, and outcomes associated with VAP in critically ill COVID-19 patients.

In this single-center cohort study, all adult patients with laboratory-confirmed COVID-19, based on the detection of viral sequences by real-time reverse-transcription polymerase chain reaction, who needed mechanical ventilation (MV) between March 1, and April 30, 2020 were included. The local ethics committee approved this study and waived the need for informed consent due to the observational nature of the study. VAP was defined according to the current American Thoracic Society/Infectious Diseases Society of America guidelines criteria [1]. Differences between quantitative variables were assessed by Student t-test or Mann–Whitney U-test. Chi-square or Fisher´s exact tests were used to analyze categorical data. To determine which variables were independently associated with VAP, a logistic regression analysis was performed, including the variables with p < 0.1 in the univariate analysis. To assess the influence of VAP in outcomes and account for inter-group imbalances of baseline characteristics, we conducted a propensity score matching including those variables with p < 0.1 in the univariate analysis. In all cases, 1:1 matching without replacement was used with a caliper 0.2 standard deviation of logit of the propensity score and with the nearest neighbor method. In the matched cohorts, differences in the categorical variables were analyzed using McNemar’s test, and differences in continuous variables were determined using paired t-test or Wilcoxon signed-rank test, as appropriate. All statistical analyses were performed using the Stata Statistical Software 14 (StataCorp 15. College Station, TX: StataCorp LP) and R, version 3.6.3 (R project for Statistical Computing, http://www.R-project.org).

Of the 353 patients admitted to the intensive care unit (ICU) during the study period, 250 (70.8%) required invasive MV (Table 1). VAP occurred in 100 (40%) of the mechanically ventilated patients. Of these, 78 were confirmed by a positive quantitative culture and 22 were defined by clinical criteria and a purulent respiratory sample. Median time to the diagnosis of VAP was 13 (8–20) days, with only 11 developing VAP within the first 96 h of admission. Antibiotic treatment was adequate in 89% of the cases. Admission to an open ICU (contingency unit without physical barriers between patients) (odds ratio [OR], 1.85; 95% confidence interval [CI], [1.04–3.33]; p = 0.037), higher Sequential Organ Failure Assessment score (OR 1.55; 95% CI [1.21–2.00]; p = 0.001), corticosteroid treatment (OR 3.26; 95% CI [1.78–5.97]; p < 0.001) and treatment with tocilizumab (OR 1.85; 95% CI [1.02–3.38]; p = 0.044) before VAP were independently associated with VAP development. After propensity score matching, VAP was associated with a longer duration of MV and ICU stay and higher ICU mortality (Table 2).

Table 1.

Clinical characteristics of the unmatched cohort

All (n = 250) No VAP (n = 150) VAP (n = 100) p-value
Age, median (IQR) 59 (51–67) 57 (51–67) 61.5 (52.5–67) 0.216
Gender (male), n (%) 173 (69.2%) 97 (64.7%) 76 (76%) 0.057
BMI > 30, median (IQR) 101 (40.4%) 63 (42%) 38 (38%) 0.528
Admission to an open ICU unit, n (%) 136 (54.2%) 74 (49.7%) 61 (61%) 0.078
Length of MV before onset of VAP vs. non VAP (days), median (IQR) 13 (8–20) 12 (8–19) 14 (9–21.5) 0.202
Severity and comorbidity scores
APACHE II, median (IQR) 11 (8–13) 10 (7–13) 12 (9–14) 0.055
SOFA, median (IQR) 4 (3–5) 4 (3–5) 5 (3–6)  < 0.001
Charlson Comorbidity Index, median (IQR) 2 (1–3) 2 (1–3) 2 (1–3) 0.888
COVID-19 related therapies
Use of prior antibiotics, n (%) 250 (100%) 150 (100%) 100 (100%) 1
Corticosteroids, n (%)* 75 (30%) 30 (20%) 45 (45%)  < 0.001
Tocilizumab, n (%)** 153 (60.8%) 80 (53.3%) 72 (72%) 0.003
Lopinavir–ritonavir, n (%) 184 (73.6%) 110 (73.3%) 74 (74%) 0.907
Remdesivir, n (%) 9 (3.6%) 136 (90.7%) 96 (96%) 0.110
Hydroxychloroquine, n (%) 232 (92.8%) 4 (2.7%) 5 (5%) 0.332
Other ICU therapies
Anticoagulation, n (%) 86 (34.4%) 46 (30.7%) 40 (40%) 0.128
ECMO, n (%) 21 (8.4%) 11 (7.3%) 10 (10%) 0.456
CRRT, n (%) 12 (4.8%) 7 (4.7%) 5 (5.1%) 0.890
Outcomes
Length of MV (days), median (IQR) 17 (10–26) 12 (8–20) 25 (20–34)  < 0.001
Length of ICU stay (days), median (IQR) 18 (12–26) 12 (8–20) 25 (20–34)  < 0.001
ICU mortality, n (%) 59 (23%) 24 (16%) 35 (35%)  < 0.001

APACHE II, Acute Physiologic Assessment and Chronic Health Evaluation II Score; BMI, Body Mass Index; COVID-19, coronavirus disease; CRRT, continuous renal replacement therapy; ECMO, Extracorporeal membrane oxygenation; ICU, Intensive Care Unit; IQR, interquartile range; MV, Mechanical ventilation; SOFA, Sequential Organ Failure Assessment Score; VAP, Ventilator-associated pneumonia

*Median time between corticosteroid initiation and the diagnosis of VAP was 10 days IQR (7–14)

**Tocilizumab was administered prior to ICU admission

Table 2.

Differences in variables included in propensity score in the matched cohort

No VAP (n = 78) VAP (n = 78) Difference between means (95% CI) p-value
Gender (male), n (%) 56 (71.8) 60 (76.9) 5.1 (− 8.5 to 18.8) 0.463
Admission to an open ICU unit, n (%) 46 (59) 47 (60.3) 1.3 (− 14.1 to 16.7) 0.87
APACHE II, median (IQR) 10 (7–13) 11.5 (9–14)  − 0.5 (− 2 to 1) 0.758
SOFA, median (IQR) 4 (3–5) 4 (3–5)  − 0.1 (− 0.7 to 0.5) 0.759
Corticosteroids, n (%) 28 (35.9%) 32 (41%) 5.1 (− 10.1 to 20.4) 0.51
Tocilizumab, n (%) 55 (70.5%) 53 (68%)  − 2.6 (− 17 to 11.9) 0.729
Length of MV (days), median (IQR) 12 (8–20) 24 (17–33)  − 11.2 (− 17.1 to − 5.3)  < 0.001
Length of ICU stay, median (IQR) 15 (9–23) 25 (20–34)  − 11.6 (− 17.9 to − 5.3)  < 0.001
ICU Mortality, n (%) 11 (14.1%) 25 (32.1%)  − 17.9 (− 30.9 to − 5.0)  < 0.01

APACHE II, Acute Physiologic Assessment and Chronic Health Evaluation II Score; CI, confidence interval; ICU, intensive care unit; IQR, interquartile range; MV, Mechanical ventilation; SOFA, Sequential Organ Failure Assessment Score; VAP, Ventilator-associated pneumonia

According to the results reported, VAP is a frequent complication among mechanically ventilated COVID-19 patients [2, 3] and strongly impacts outcomes. It has been reported that COVID-19 makes patients more prone to VAP, not entirely due to the increased duration of the MV [3]. Despite the 28-day mortality benefit observed with corticosteroid use [4, 5] and controversies regarding tocilizumab use [6], both treatments were initiated prior to VAP occurrence, and often prior to ICU admission, and are independently associated with a higher risk of VAP. Limitations of the present study include its observational nature, single-center setting, and the fact that the total dose of administered steroids was not recorded. However, our findings suggest that excessive immunosuppression associated with the use of immunomodulatory drugs may facilitate VAP development in COVID-19 patients.

Acknowledgements

Not applicable.

Abbreviations

COVID-19

Coronavirus disease 2019

CI

Confidence interval

ICU

Intensive care unit

MV

Mechanical ventilation

OR

Odds ratio

VAP

Ventilator-associated pneumonia

Authors' contributions

MMM was responsible for the acquisition of the data and the initial draft. EPM, FXN, OR, and RF contributed substantially to the study design, data analysis, interpretation and the writing of the manuscript. All authors approved the final version to be published and agree to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. All authors read and approved the final manuscript.

Funding

No funding.

Availability of data and materials

The datasets used and analysed during the current study are available from the corresponding author on reasonable request.

Declarations

Ethics approval and consent to participate

The local ethics committee (CEIm [Comitè d’Ètica d’Investigació amb medicaments], Vall d’Hebron Institut de Recerca, Barcelona, Spain) approved this study and waived the need for informed consent due to the observational nature of the study.

Consent for publication

Not applicable.

Competing interests

MMM declares that she has no competing interests. EPM declares that she has no competing interests. FXNC has received speaker fees from MSD, Pfizer, Shionogi, and Gilead outside the submitted work. OR has received research grants and speaker fees from Hamilton Medical outside the submitted work. RF has received speaker fees from MSD, Pfizer, Shionogi, and Gilead outside the submitted work.

Footnotes

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The datasets used and analysed during the current study are available from the corresponding author on reasonable request.


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