Md. Asaduzzaman, Mohammad Romel Bhuia, Mohammad Zabed Jillul Bari, Z. H. M. Nazmul Alam, Ranjon Kumer Roy, Soumitra Roy, Goutam Talukder, M. M. Jahangir Alam, Md. Shafiqul Bari
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引用次数: 0
Abstract
Aim: Triaging patients based on prognostic biomarkers may contribute to better management of at-risk patients in resource-constrained settings. This study aimed to explore readily available and cost-effective predictors of mortality among COVID-19 patients.
Methods: This cross-sectional study, conducted across multiple centers, involved patients with COVID-19 admitted to four hospitals in Bangladesh. The analysis encompassed demographic information, clinical features, laboratory findings, and in-hospital outcomes. Logistic regression was utilized to identify factors contributing to mortality risk.
Results: Among 442 patients, 55 (12.44%) experienced mortality. The patients’ mean was 60 ± 14 years. DM (76% vs. 62%), IHD (42% vs. 19%), CKD (35% vs. 15%), and COPD (24% vs. 11%) were the most prevalent comorbidities in nonsurvivors. Compared to the survivor group, median NLR (7 vs. 4.1; p = 0.005), ferritin (507 vs. 328; p = 0.21), and D-dimer (900 vs. 567; p = 0.12) were higher in the nonsurvivor group. Higher age (OR = 1.05; 95% CI = 1.02–1.08), coexisting CKD (OR = 2.59; 95% CI = 1.27–5.29), leukocytosis (OR = 2.52; 95% CI = 1.21–5.28), thrombocytopenia (OR = 0.27; 95% CI = 0.12–0.61), lower SpO2 upon admission (OR = 0.92; 95% CI = 0.89–0.95), and more extensive lung involvement on CT (OR = 1.01; 95% CI = 1.001–1.03) were significant risk factors of in-hospital death.
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