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Comparative analysis of demographic, clinical, biochemical, and predictors of mortality in COVID-19 and NON-COVID-19 ARDS patients: A retrospective cohort study. | LitMetric

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Article Abstract

The COVID-19 pandemic has brought a significant increase in the incidence of acute respiratory distress syndrome (ARDS). This retrospective study aims to compare the differences in demographic, clinical, and biochemical variables and predictive factors in 2 situations of ARDS cause (COVID-19 vs NON-COVID-19) in patients admitted to the intensive care unit. The Mann-Whitney rank-sum test was performed for quantitative variables, and Fisher exact test for qualitative variables. 115 patients with ARDS were enrolled (53 patients with COVID-19 ARDS and 62 NON-COVID-19 ARDS). The COVID-19 ARDS group consisted of 33 male patients (66.2%), whereas the NON-COVID-19 ARDS group had 25 male patients (40.3%) (P = .0248). The median and interquartile age difference of the COVID-19 ARDS group was 64.0 [52.0-69.5], and non-COVID-19 ARDS was 49.0 [34.0-63.0] (P = .0011). Body mass index, simplified acute physiology score, sequential organ failure assessment, and intensive care unit length of stay, with P-values of .0061, .0002, .0003, and <.0001, respectively (COVID-19 vs NON-COVID-19 ARDS). Diabetes, arterial hypertension, venous thrombosis, and chronic obstructive pulmonary disease had values of <.0001, .0234, .0358, and .0001, respectively. On the other hand, the NON-COVID-19 ARDS group had a greater need for dialysis (P = .0109). The stepwise logistic regression showed that relevant clinical, and demographic characteristics associated with ARDS due to COVID-19, such as male gender, diabetes, chronic obstructive pulmonary disease, and body mass index, were independent prognostic factors of severity in patients with COVID-19 ARDS, compared to NON-COVID-19 ARDS. The overall mortality rate was 62.9% for COVID-19 ARDS and 77.4% for the non-COVID-19 ARDS group (P = .2950). Ventilatory parameters of COVID-19 ARDS and NON-COVID-19 ARDS were similar.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11936669PMC
http://dx.doi.org/10.1097/MD.0000000000041851DOI Listing

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