Articles: respiratory-distress-syndrome.
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Acute respiratory distress syndrome (ARDS) is associated with high mortality. Atrial fibrillation (AF) is a common arrhythmia seen in critically ill patients. The impact of AF on the outcomes in patients with ARDS is less understood. In this analysis we attempt to evaluate the association of concurrent AF and various clinical outcomes in patients with ARDS. ⋯ AF is associated with worse clinical outcomes, higher length of stay and cost in ARDS hospitalizations as compared to those without AF.
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Observational Study
Using real-time visualization system for data-driven decision support to achieve lung protective strategy: a retrospective observational study.
Although lung protective strategy and adjunctive intervention are associated with improved survival in patients with acute respiratory distress syndrome (ARDS), the implementation of effective therapies remains low. This study aimed to evaluate whether the use of business intelligence (BI) for real-time data visualization is associated with an improvement in lung protective strategy and adjunctive therapy. ⋯ The use of real-time visualization system for data-driven decision support was associated with significantly improved compliance to low tidal volume ventilation strategy, which enhanced the outcomes of patients with ARDS in the ICU.
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Background and objectives: Acute respiratory distress syndrome (ARDS) is the most common complication occurring in COVID-19 patients admitted to the ICU. Given the increased respiratory work of these patients, it is necessary to evaluate their actual breathing efforts. The aim of this study is to report the incidence and determinants of increased effort of breathing (EOB) in critical COVID-19 patients. ⋯ In the final multivariate model, the SpO2 (exp(B) = 0.922, CI 95%: 0.874−0.97 p = 0.033), PaO2/FiO2 ratio (exp(B) = 0.996, CI 95%: 0.922−1.000, p = 0.003) and PaO2 (exp(B) = 0.989 CI 95%: 0.982−0.996 p = 0.003) prevailed as independent predictors of increased EOB. Conclusions: To conclude, PaO2 was revealed as a more accurate predictor of increased EOB than PaCO2. Further investigation revealed the independent determinants of EOB: blood oxygen saturation, PaO2 and PaO2/FiO2 ratio.