Publication: Prognostic factors for COVID-19 patients
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Date
2022-03-01
Authors
Authors
Önal, Uğur
Güçlü, Özge Aydın
Akalın, Halis
Öztürk, Nilüfer Aylin Acet
Semet, Cihan
Demirdoğen, Ezgi
Dilektaşlı, Aslı Görek
Sağlık, İmran
Kazak, Esra
Özkaya, Güven
Journal Title
Journal ISSN
Volume Title
Publisher
J Infection Developing Countries
Abstract
Introduction: Determining prognostic factors in patients with coronavirus disease (COVID-19) can have great impact on treatment planning and follow-up strategies. Herein, we aimed to evaluate prognostic factors and clinical scores for confirmed COVID-19 patients in a tertiary care hospital in the Bursa region of Turkey. Methodology: Patients who had been diagnosed with COVID-19 microbiologically and/or radiologically between March and October 2020 in a tertiary-care university hospital were enrolled retrospectively. Adult patients (>= 18 years) with a clinical spectrum of moderate, severe, or critical illness were included. The dependent variable was 30-day mortality and logistic regression analysis was used to evaluate any variables with a significant p value (< 0.05) in univariate analysis. Results: A total of 257 patients were included in the study. The mortality rate (30-day) was 14.4%. In logistic regression analysis, higher scores on sequential organ failure assessment (SOFA) (p < 0.001, odds ratio (OR) = 1.86, 95% CI = 1.42-2.45) and CURB-65 pneumonia severity criteria (p = 0.001, OR = 2.60, 95% CI = 1.47-4.57) were found to be significant in predicting mortality at admission. In deceased patients, there were also significant differences between the baseline, day-3, day-7, and day-14 results of D-dimer (p = 0.01), ferritin (p = 0.042), leukocyte (p = 0.019), and neutrophil (p = 0.007) counts. Conclusions: In our study of COVID-19 patients, we found that high SOFA and CURB-65 scores on admission were associated with increased mortality. In addition, D-dimer, ferritin, leukocyte and neutrophil counts significantly increased after admission in patients who died.
Description
Keywords
Coronavirus disease 2019, Clinical characteristics, Risk-factors, Sofa score, Mortality, Admission, Severity, Sepsis, Qsofa, Sirs, Covid-19, Prognostic factors, Sofa, Curb-65, Infectious diseases