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Original Article

Prognostic Implications of Bronchoalveolar Fluid Analysis in Ventilator-Associated Pneumonia: An Observational Cohort Study

Kamel, Walid M.1; Fayed, Ahmad S.1; Emam, Raef H.2; Andraos, Ashraf W.1

Author Information
The Egyptian Journal of Critical Care Medicine: June 2022 - Volume 9 - Issue 2 - p 40-45
doi: 10.1097/EJ9.0000000000000048
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Abstract

Introduction

Ventilator-associated pneumonia (VAP) is a hospital-acquired pneumonia that develops after more than 48 hours of mechanical ventilation (MV). It is associated with high disease burden and increased risk of mortality. Accurate diagnosis is paramount so that proper treatment can be initiated early while simultaneously avoiding antibiotic overuse and resources waste.

The clinical diagnosis of HAP and VAP is difficult in part because the clinical findings are nonspecific. The 2016 Infectious Diseases Society of America/American Thoracic Society guidelines for the management of HAP and VAP recommend a clinical diagnosis based upon a new lung infiltrate plus clinical evidence that the infiltrate is of infectious origin, which includes the new onset of fever, purulent sputum, leukocytosis, and decline in oxygenation.1

Bronchoalveolar lavage allows sampling of the lower respiratory tract fluids by the instillation and subsequent aspiration of fluid. Clinically, BAL has been helpful in the diagnosis and differentiation of different types of lung diseases. As a research tool, it is useful in the investigation of the cellular and humoral events occurring in lungs, especially in pulmonary diseases.2

The usefulness of bronchoalveolar lavage (BAL) fluid cellular analysis in pneumonia has not been adequately evaluated. This study investigated the ability of cellular analysis of BAL fluid to predict mortality and weaning failure in adult patients who are diagnosed with ventilator-associated pneumonia in comparison to clinical scoring systems.

Patients and methods

Study subjects

This was a prospective observational cohort study. It was conducted on sixty consecutive patients diagnosed as having ventilator-associated pneumonia according to IDSA 2016 guidelines.1 This study took place from March 2019 to February 2020. All patients were consented and fully informed before the procedure. Approval from the local ethics committee was obtained. All patients were admitted to the Critical care department, Cairo University.

Patients included in our study were ≥18 years old. They were intubated and mechanically ventilated ≥48 hours, irrespective of reasons for ventilation. They were diagnosed as having ventilator-associated pneumonia. Ventilator associated pneumonia (VAP) was defined as identification of a new or progressive lung infiltrate on imaging with clinical evidence that the infiltrate is of infectious origin, together with a positive pathogen identified on microbiologic respiratory sample according to the 2016 Infectious Diseases Society of America/American Thoracic Society guidelines.1

Exclusion criteria included patients younger than 18 years-old, those with refractory hypoxia on mechanical ventilation requiring high ventilatory settings (high risk patients), pregnants, patients having coagulopathy or high bleeding risk, patients with “Do not resuscitate” order or imminent death, patients with severe hemodynamic instability, and patients who refused to participate or who decided to refrain from study.

Study design

After obtaining informed consent and detailed medical history and detailed physical examination, routine labs, and investigations. Clinical scores were calculated (CPIS, APACHE II, PSI/PORT, PIRO for VAP and IBMP-10 scores). Bronchoscopy was done, using Pentax FB-18 V fiber-optic bronchoscope. The bronchoalveolar lavage fluid was sent for microbiological assessment and cellular analysis. All patients were followed up for possible hypoxia, arrythmias or bleeding in the first 2 hours after bronchoscopy.

All patients initially received empirical antimicrobial treatment, and the regimen was adjusted according to microbiological results. In case of negative microbiological findings antimicrobial treatment was stopped.

Patients were followed-up for weaning from mechanical ventilation and mortality outcome during their ICU stay.

Statistical analysis

Data were coded and entered using the statistical package for the Social Sciences (SPSS) version 26 (IBM Corp, Armonk, NY). Data was summarized using mean and standard deviation. Frequency (count) and relative frequency (percentage) were mentioned for categorical data. Comparisons between quantitative variables were done using parametric t testing with Levene equation for equality of variance and if non-parametric measures, Mann-Whitney test was applied. For comparing categorical data, Chi square test was performed and McNemar test for cell counts less than 5. P value ≤ 5, was considered significant.

Sample size was calculated based on the following formula:

N=z2×p(1p)e×prevalence

where N is number required, z is level of confidence where z = 1.96 at 95% confidence level, p is sensitivity we are trying to achieve and it was settled at 80% and e is level of margin of error which was set at 10%, incidence of VAP was estimated at 15%. And power of the study was 80%. N was calculated 41 patients, so we decided to recruit 60 patients.3

Results

This was a prospective observational study. Sixty patients were recruited. Our study comprised 31 males (51.7%). Average age was 59.6 ± 17.5 years old. Mortality in our study was 52 (86.7%) and failed weaning was recorded in 53 patients (88.3%). Bronchoscopic cultures revealed Gram negative growth in 53 isolates (88.3%) with no difference between those who could be weaned successfully and those who did not or between survivors and non-survivors.

Patients were categorized according to mortality outcome into 2 groups, (those who survived and those who died). Baseline characteristics and comparisons between both groups were tabulated in Table 1. Both groups had no significant differences, apart from increased absolute and relative macrophages in BAL cellular analysis in those who died. PIRO scores were higher in those who died as well. Macrophages were excluded from analysis because macrophage data could be retrieved in only 20 patients which might have confounded our results.

Table 1 - Characteristics of demographic data, BALF cytology and clinical scores in all patients; non-survivors and survivors
Survival All Survived Died P
Age 59.6 ± 17.5 52.4 ± 16.7 60.8 ± 17.5 .211
Gender (Male) 31 (51.7%) 6 (75.0%) 25 (48.1%) .150
Smoking 35 (58.3%) 26 (50.0%) 5 (62.5%) .899
Diabetic 25 (41.7%) 26 (50.0%) 3 (50.0%) .936
Hypertensive 30 (50.0%) 26 (50.0%) 4 (50.0%) .917
IHD 31 (51.7%) 13 (25.0%) 4 (50.0%) .964
CVS 18 (30.0%) 20 (38.5%) 2 (25.0%0 .966
Renal 3 (5.0%) 7 (13.5%) 0 (0.0%) 1.000
PH 7.36 ± 0.07 7.37 ± 0.06 7.34 ± 0.09 .250
PO2 52.8 ± 12.1 55.1 ± 12.4 48.3 ± 10.5 .058
PCO2 49.9 ± 14.7 48.2 ± 13.7 53.4 ± 16.3 .242
HCO3 25.9 ± 3.6 26.0 ± 3.6 25.5 ± 3.6 .592
HR 115.9 ± 13.7 120.4 ± 13.1 107.2 ± 10.3 .001
MAP 92.5 ± 180.0 95.7 ± 19.5 86.3 ± 13.1 .079
MV stay 18.8 ± 14.3 14.4 ± 5.9 19.5 ± 15.1 .353
ICU stay 23.2 ± 11.8 17.1 ± 5.9 24.1 ± 12.2 .120
TLC 16.8 ± 7.7 17.8 ± 10.2 16.7 ± 7.4 .714
Neutrophil 13.9 ± 6.8 15.4 ± 9.4 13.6 ± 6.4 .507
Neutrophil% 82.3 ± 14.2 84.0 ± 5.3 82.0 ± 15.1 .708
Lymphocyte 1.5 ± 1.0 1.5 ± 0.9 1.5 ± 1.0 .929
Lymphocyte% 10.3 ± 10.7 9.1 ± 4.8 10.5 ± 11.4 .729
BAL TLC 1215.8 ± 2251.9 608.4 ± 797.7 1309.3 ± 2390.1 .417
BAL Neutrophil 1052.0 ± 2053.5 544.8 ± 724.7 1130.1 ± 2181.7 .458
BAL Neutrophil% 70.5 ± 29.6 77.5 ± 31.4 69.4 ± 29.5 .479
BAL Lymphocyte 146.1 ± 218.4 62.1 ± 74.1 159.0 ± 230.6 .246
BAL Lymphocyte% 19.4 ± 20.3 9.4 ± 4.4 21.0 ± 21.3 .001
BAL Macrophage 36.5 ± 55.7 3.5 ± 1.0 44.7 ± 59.7 .015
BAL Macrophage% 4.1 ± 3.2 1.3 ± 0.5 4.8 ± 3.2 .001
CRP 208.8 ± 116.7 270.4 ± 185.5 199.3 ± 101.7 .322
CPIS 6.2 ± 1.4 6.1 ± 2.0 6.2 ± 1.4 .877
PSI 133.2 ± 28.9 132.1 ± 27.4 133.4 ± 29.4 .911
APACHE II 18.4 ± 7.4 15.6 ± 11.4 18.8 ± 6.6 .256
PIRO 1.3 ± 1.1 0.5 ± 0.5 1.5 ± 1.1 .022
IBMP-10 2.2 ± 1.1 1.5 ± 0.5 2.3 ± 1.1 .054

Patients were categorized according to weaning off mechanical ventilation into 2 group, (those who succeeded MV weaning and those who failed MV weaning). Comparisons between both groups were tabulated in Table 2. Both groups had no significant differences, except for BAL cellular analysis. Bronchoscopic fluid analysis showed higher TLC, neutrophils, lymphocytes, and macrophages in those who failed mechanical ventilation.

Table 2 - Characteristics of demographic data, BALF cytology and clinical scores in patients who were weaned successfully versus those who failed weaning
MV weaning Successful weaning Failed weaning P
Age 53.0 ± 17.2 60.5 ± 17.5 .867
Gender (Male) 4 (57.1%) 27 (50.9%) .538
Smoking 31 (58.5%) 4 (57.1%) .836
Diabetic 24 (45.3%) 1 (14.3%) .975
Hypertensive 27 (50.9%) 3 (42.9%) .893
IHD 28 (52.8%) 3 (42.9%) 1.000
CVS 15 (28.3%) 3 (42.9%) .950
Renal 2 (3.8%) 1 (14.3%) .893
PH 7.39 ± 0.06 7.34 ± 0.08 .032
PO2 55.5 ± 11.9 51.0 ± 12.1 .209
PCO2 46.2 ± 13.0 52.4 ± 15.4 .143
HCO3 26.0 ± 3.6 25.8 ± 3.6 .813
HR 122.3 ± 14.9 111.7 ± 11.1 .006
MAP 101.6 ± 17.7 86.5 ± 15.8 .003
MV stay 17.9 ± 9.9 18.9 ± 14.9 .865
ICU stay 22.0 ± 10.4 23.3 ± 12.1 .768
TLC 13.9 ± 3.8 17.2 ± 8.1 .150
Neutrophil 12.0 ± 3.8 14.1 ± 7.1 .254
Neutrophil% 84 ± 6% 82 ± 15% .415
Lymphocyte 1.1 ± 0.6 1.5 ± 1.0 .480
Lymphocyte% 9 ± 5% 11 ± 11% .748
BAL TLC 207.1 ± 129.8 1349.0 ± 2365.7 .037
BAL Neutrophil 169.0 ± 113.4 1168.7 ± 2159.7 .039
BAL Neutrophil% 69 ± 32% 71 ± 30% .757
BAL Lymphocyte 32.3 ± 19.9 161.1 ± 228.3 .027
BAL Lymphocyte% 14 ± 8% 20 ± 21% .078
BAL Macrophage 7.0 ± 6.0 49.1 ± 62.9 .027
BAL Macrophage% 3 ± 3% 4 ± 3% .527
CRP 236.0 ± 151.8 205.2 ± 112.6 .791
CPIS 5.6 ± 1.7 6.3 ± 1.4 .832
PSI 129.6 ± 29.4 133.7 ± 29.1 .707
APACHE II 12.0 ± 8.2 19.2 ± 6.9 .362
PIRO 0.7 ± 1.0 1.4 ± 1.1 .716
IBMP-10 1.6 ± 0.5 2.3 ± 1.1 .188

Receiver operating curves were plotted for predicting mortality and weaning from mechanical ventilation. Analysis was performed for BAL neutrophils, lymphocytes. Blood cellular analysis provided modest cut-offs. These results were presented in Table 3 for predicting mortality and Table 4 for predicting MV weaning. Receiver Operating Curve (ROC) was plotted for predicting MV weaning in Figure 1.

Table 3 - ROC analysis for Mortality against BALF neutrophils and lymphocytes
AUC Cut off Sensitivity (%) Specificity (%)
BAL TLC 0.552 200/cc 61.5 50.0
BAL Neutrophil count 0.510 170/cc 57.7 50.0
BAL Lymphocyte count 0.603 45/cc 55.8 50.0

Table 4 - ROC curve for weaning from mechanical ventilation against BALF neutrophils and lymphocytes
MV weaning AUC Cut-off Sensitivity (%) Specificity (%)
BAL TLC 0.672 200 62.3 71.4
BAL neutrophil count 0.617 170 60.4 71.4
BAL Lymphocyte count 0.635 45 56.6 71.4

F1
Figure 1:
Receiver operating curve for mechanical ventilation prediction using BAL cellular analysis. Total leucocytic count (TLC) was plotted in solid line. Neutrophil count represented by stripped line. Lymphocytes were represented by dotted line.

Patients were categorized according to ROC findings into 2 groups according to their BAL neutrophil counts into group (1) those with BAL neutrophil count < 170/cc and group (2) those with BAL neutrophil count ≥ 170/cc. Group (2) had worse MV weaning rates (Log Rank 0.038). This was plotted in Figure 2.

F2
Figure 2:
Kaplan Meier analysis. Weaning from mechanical ventilation was outcome of interest. Patients were categorized into 2 groups according to their BAL neutrophil counts into group (1) solid line that represented those with BAL neutrophil count < 170/cc and group (2) stripped line that represented those with BAL neutrophil count ≥ 170/cc, (Log Rank 0.038).

Discussion

In our study, we examined alveolar infiltrates using bronchoalveolar lavage cellular analysis in VAP patients. Our work probed the prognostic ability of cellular analysis of BAL fluid to predict mortality and weaning failure. As far as our knowledge, there is no similar study that discussed mortality or weaning outcome in VAP patients, using BAL cellular analysis.

Our study exhibited a higher mortality rate in VAP patients who failed weaning from mechanical ventilation. Othman et al. investigated prevalence and complications of VAP. He stated that sepsis/septic shock, ARDS, atelectasis, and infection with MDR organisms were significantly higher in the VAP group.4

It is well-known that extubation failure increases odds of mortality in ICU, as demonstrated by previous studies. Thille et al. studied outcomes of extubation failure and concluded that failed planned or unplanned extubation was followed by marked clinical deterioration.5 Frutos-Vivar et al. reported similar findings.6

According to our data, ICU mortality in VAP patients was 86.7%. Other studies reported different mortality rates. Pugin et al. mentioned that the mortality among the population of VAP group was 54%, while Furtadom et al. stated that the overall mortality reached 25%.7,8 It was clear that we had higher than highest-reported mortality rate, this might be related to different baseline patient characteristics, worse clinical severity, different management protocols, or multiple comorbidities.

Our study showed that neither age nor gender influenced mortality outcome in VAP patients. Other authors supported this notion, Mirsaeidi et al. examined mortality in VAP patients and mentioned that neither age nor gender, had an impact on mortality in VAP patients.9 Zhou et al. and Furtado et al. confirmed same findings.8,10 However, contradictory data was presented by Lisboa et al. where he noted that old age showed worse prognosis.11 In our study, 52% of the population of the study were males with no significant difference between both genders regarding mortality. This was also echoed in other studies.8–10 Our study showed that neither age nor gender had a significant impact on MV weaning outcome in VAP patients. There was conflicting data, regarding age, on incidence of VAP. Surprisingly, male gender was considered an independent risk factor for VAP as supported by many authors.11–14

In our study, Clinical Pulmonary Infection Score, Pneumonia Severity Index and APACHE II did not have a statistically significant relation with mortality. Pneumonia severity index was derived and validated as part of the Pneumonia Patient Outcomes Research Team (PORT) prospective cohort study for the purpose of identifying patients with CAP at low risk for mortality. Several studies used CPIS and PSI to assess prognosis in non-CAP pneumonia.15,16 Other studies suggested that APACHE II score should be determined at the time of VAP diagnosis not ICU admission.8,17

While the PIRO score and IBMP-10 score had a statistically significant relation with mortality (P = .019 and 0.033, respectively). PIRO score had specificity of 100% and 50% sensitivity, while IBMP-10 had sensitivity of 84.6% and specificity of 50%. In a prospective observational cohort study including 441 patients with VAP in three multidisciplinary ICUs. Lisboa et al. concluded that high PIRO score for VAP was associated with higher mortality and medical resource use.15 Rosolem et al. concluded that it could be used to assess severity and health-care resources utilization and to improve prediction of ICU mortality in VAP patients.19 Mirsaeidi et al. and Abbasi et al. stated that the IBMP-10, was comparable to the APACHE II score in its ability to predict mortality in patients with VAP. They concluded that IBMP-10, compared to APACHE II, had greater sensitivity and specificity to predict mortality in patients with ventilator-associated pneumonia.9,20

In our study, blood markers of inflammation, including total and differential white cell count did not offer prognostic information, regarding mortality or liberation from mechanical ventilation. This was also documented by Kronberger et al.21 Previous works evaluated BALF analysis in different lung diseases and suggested using BALF cellular analysis in diagnosing VAP.22–27 A study conducted by Balthazar et al. showed that relative neutrophilic count increased in VAP patients.22 This was also demonstrated by Stolz et al. and Marquette et al.25,28 However, Papazian et al. found no differences in neutrophil numbers between VAP and non-VAP groups.29 The predictive role of BAL fluid cellular composition in the etiology of pneumonia in critically ill patients was examined and reported that both bacterial and viral pneumonia were associated with BAL fluid neutrophilia (significantly higher in the bacterial pneumonia).22 several studies speculated that neutrophilic infiltration of alveolar spaces associated VAP pathogenesis. Wilkinson et al. and Mikacenic et al. showed that neutrophil proteases and neutrophil extracellular traps were significantly elevated in VAP patients.30,31

Our study showed that neither total leucocytic count nor absolute neutrophil count in bronchoalveolar lavage fluid had a statistically significant relation with mortality. However, our findings suggested prognostic information, regarding weaning off mechanical ventilation. Increased absolute BAL neutrophilic and lymphocytic counts had a negative impact on MV weaning. Bronchoscopic fluid analysis showed higher TLC, neutrophils, lymphocytes, and macrophages in those who failed mechanical ventilation. Cellular analysis could reveal local but not global inflammatory responses. These responses carried worse prognosis, regarding namely weaning from mechanical ventilation.

Presence of macrophages in BALF had a statistically significant relation with mortality and MV weaning. In an explanation to this finding, Hall et al. stated that intubation and mechanical ventilation alter first-line patient defenses. Disruption of first line defenses activates alveolar macrophages and causes neutrophils to infiltrate and damage the lungs.32

Conclusion

Bronchial lavage cellular fluid analysis could bear prognostic information in ventilator associated pneumonia. Increased bronchoalveolar lavage neutrophils and lymphocytes showed increased rates of mortality and weaning failure in ventilator associated pneumonia.

Uncited reference

18.

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Keywords:

ventilator-associated pneumonia; bronchoscopy; bronchoalveolar lavage; differential cell count

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