scholarly journals Lower Respiratory Tract Infection and Short-Term Outcome in Patients With Acute Respiratory Distress Syndrome

2018 ◽  
Vol 35 (6) ◽  
pp. 588-594 ◽  
Author(s):  
Fernando G. Zampieri ◽  
Pedro Póvoa ◽  
Jorge I. Salluh ◽  
Alejandro Rodriguez ◽  
Sandrine Valade ◽  
...  

Objective: To assess whether ventilator-associated lower respiratory tract infections (VA-LRTIs) are associated with mortality in critically ill patients with acute respiratory distress syndrome (ARDS). Materials and Methods: Post hoc analysis of prospective cohort study including mechanically ventilated patients from a multicenter prospective observational study (TAVeM study); VA-LRTI was defined as either ventilator-associated tracheobronchitis (VAT) or ventilator-associated pneumonia (VAP) based on clinical criteria and microbiological confirmation. Association between intensive care unit (ICU) mortality in patients having ARDS with and without VA-LRTI was assessed through logistic regression controlling for relevant confounders. Association between VA-LRTI and duration of mechanical ventilation and ICU stay was assessed through competing risk analysis. Contribution of VA-LRTI to a mortality model over time was assessed through sequential random forest models. Results: The cohort included 2960 patients of which 524 fulfilled criteria for ARDS; 21% had VA-LRTI (VAT = 10.3% and VAP = 10.7%). After controlling for illness severity and baseline health status, we could not find an association between VA-LRTI and ICU mortality (odds ratio: 1.07; 95% confidence interval: 0.62-1.83; P = .796); VA-LRTI was also not associated with prolonged ICU length of stay or duration of mechanical ventilation. The relative contribution of VA-LRTI to the random forest mortality model remained constant during time. The attributable VA-LRTI mortality for ARDS was higher than the attributable mortality for VA-LRTI alone. Conclusion: After controlling for relevant confounders, we could not find an association between occurrence of VA-LRTI and ICU mortality in patients with ARDS.

2019 ◽  
Vol 69 (5) ◽  
pp. 861-864 ◽  
Author(s):  
Jian Wang ◽  
Yanpeng Li ◽  
Xi He ◽  
Jinmin Ma ◽  
Wenxin Hong ◽  
...  

Abstract Using metagenomics analysis, we are the first to identify the presence of a small, circular, single-stranded Gemykibivirus (GkV) genome from the respiratory tract of an elderly woman with severe acute respiratory distress syndrome. Our results suggest that further studies on whether GkVs infect humans and cause respiratory disease are needed.


2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Chia-Cheng Tseng ◽  
Wen-Feng Fang ◽  
Sum-Yee Leung ◽  
Hung-Chen Chen ◽  
Ya-Chun Chang ◽  
...  

Objectives. This study aimed to identify the independent biomarkers and clinical factors that could predict ICU mortality and 6-month outcomes in relatively healthy patients with severe pneumonia and acute respiratory distress syndrome (ARDS).Patients and Methods. We prospectively enrolled patients with severe pneumonia-related ARDS that required mechanical ventilation. Patients were excluded if they were unable to take care of themselves. Several biomarkers and clinical factors were evaluated prospectively on day 1 and day 3 after ICU admission. All biomarkers and clinical factors were collected for analysis.Results. 56 patients were enrolled in this study. We determined that the initial appropriate antibiotics use was an independent clinical factor and day 1 high-mobility group protein B1 (HMGB1) concentration was an independent biomarker for ICU mortality. Interestingly, we also found that a low day 1 albumin level was an independent biomarker for predicting patient life dependence 6 months after a pneumonia event.Conclusion. Patients with severe pneumonia and ARDS requiring mechanical ventilation experience high rates of ICU mortality or disability, even if they were quite healthy before. Initial appropriate antibiotics use and day 1 level of HMGB1 were independent factors for predicting ICU mortality. Day 1 albumin level was predictive of 6-month patient life dependence.


Author(s):  
Werner J D Ouwendijk ◽  
Matthijs P Raadsen ◽  
Jeroen J A van Kampen ◽  
Robert M Verdijk ◽  
Jan H von der Thusen ◽  
...  

Abstract SARS-CoV-2 induced lower respiratory tract (LRT) disease can deteriorate to acute respiratory distress syndrome (ARDS). Because the release of neutrophil extracellular traps (NETs) is implicated in ARDS pathogenesis, we investigated the presence of NETs and correlates of pathogenesis in blood and LRT samples of critically ill COVID-19 patients. Plasma NET levels peaked early after ICU admission and correlated with SARS-CoV-2 RNA load in sputum and levels of neutrophil-recruiting chemokines and inflammatory markers in plasma. Baseline plasma NET quantity correlated with disease severity, but was not associated with soluble markers of thrombosis nor with development of thrombosis. High NET levels were present in LRT samples and persisted during the course of COVID-19, consistent with the detection of NETs in bronchi and alveolar spaces in lung tissue from fatal COVID-19 patients. Thus, NETs are produced and retained in the LRT of critical COVID-19 patients and could contribute to SARS-CoV-2-induced ARDS pathology.  


2020 ◽  
Vol 14 ◽  
pp. 175346662094241
Author(s):  
Wei-Chih Chen ◽  
Kuo-Chin Kao ◽  
Chau-Chyun Sheu ◽  
Ming-Cheng Chan ◽  
Yu-Mu Chen ◽  
...  

Background: Patients with severe influenza-related acute respiratory distress syndrome (ARDS) have high morbidity and mortality. Moreover, nosocomial lower respiratory tract infection (NLRTI) complicates their clinical management and possibly worsens their outcomes. This study aimed to explore the clinical features and impact of NLRTI in patients with severe influenza-related ARDS. Methods: This was an institutional review board approved, retrospective, observational study conducted in eight medical centers in Taiwan. From January 1 to March 31 in 2016, subjects were enrolled from intensive care units (ICUs) with virology-proven influenza pneumonia, while all of those patients with ARDS requiring invasive mechanical ventilation and without bacterial community-acquired pneumonia (CAP) were analyzed. Baseline characteristics, critical-illness data and clinical outcomes were recorded. Results: Among the 316 screened patients with severe influenza pneumonia, 250 with acute respiratory failure requiring intubation met the criteria of ARDS, without having bacterial CAP. Among them, 72 patients developed NLRTI. The independent risk factors for NLRTI included immunosuppressant use before influenza infection [odds ratio (OR), 5.669; 95% confidence interval (CI), 1.770–18.154], extracorporeal membrane oxygenation (ECMO) use after ARDS (OR, 2.440; 95% CI, 1.214–4.904) and larger corticosteroid dosage after ARDS (OR, 1.209; 95% CI, 1.038–1.407). Patients with NLRTI had higher in-hospital mortality and longer ICU stay, hospitalization and duration on mechanical ventilation. Conclusion: We found that immunosuppressant use before influenza infection, ECMO use, and larger steroid dosage after ARDS independently predict NLRTI in influenza-related ARDS. Moreover, NLRTI results in poorer outcomes in patients with severe influenza. The reviews of this paper are available via the supplemental material section.


2003 ◽  
Vol 31 (2) ◽  
pp. 395-400 ◽  
Author(s):  
Andrew J. Ghio ◽  
Jacqueline D. Carter ◽  
Judy H. Richards ◽  
Lori D. Richer ◽  
Colin K. Grissom ◽  
...  

2020 ◽  
Vol 71 (Supplement_4) ◽  
pp. S400-S408
Author(s):  
Zongsheng Wu ◽  
Yao Liu ◽  
Jingyuan Xu ◽  
Jianfeng Xie ◽  
Shi Zhang ◽  
...  

Abstract Background Mechanical ventilation is crucial for acute respiratory distress syndrome (ARDS) patients and diagnosis of ventilator-associated pneumonia (VAP) in ARDS patients is challenging. Hence, an effective model to predict VAP in ARDS is urgently needed. Methods We performed a secondary analysis of patient-level data from the Early versus Delayed Enteral Nutrition (EDEN) of ARDSNet randomized controlled trials. Multivariate binary logistic regression analysis established a predictive model, incorporating characteristics selected by systematic review and univariate analyses. The model’s discrimination, calibration, and clinical usefulness were assessed using the C-index, calibration plot, and decision curve analysis (DCA). Results Of the 1000 unique patients enrolled in the EDEN trials, 70 (7%) had ARDS complicated with VAP. Mechanical ventilation duration and intensive care unit (ICU) stay were significantly longer in the VAP group than non-VAP group (P < .001 for both) but the 60-day mortality was comparable. Use of neuromuscular blocking agents, severe ARDS, admission for unscheduled surgery, and trauma as primary ARDS causes were independent risk factors for VAP. The area under the curve of the model was .744, and model fit was acceptable (Hosmer-Lemeshow P = .185). The calibration curve indicated that the model had proper discrimination and good calibration. DCA showed that the VAP prediction nomogram was clinically useful when an intervention was decided at a VAP probability threshold between 1% and 61%. Conclusions The prediction nomogram for VAP development in ARDS patients can be applied after ICU admission, using available variables. Potential clinical benefits of using this model deserve further assessment.


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