Clinical characteristics and risk factors associated with severe disease and outcome of patients with COVID-19
| Autor: | Ayse Serra Ozel, Lutfiye Nilsun Altunal, Mehtap Aydin, Busra Unal, Gulsum Cam, Merve Caglar Ozer, Volkan Korten |
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| Přispěvatelé: | Ozel A. S., Altunal L. N., Aydin M., Unal B., Cam G., Ozer M. C., KORTEN V. |
| Rok vydání: | 2022 |
| Předmět: |
Male
Immunology Life Sciences (LIFE) Sağlık Bilimleri Microbiology Genel İmmünoloji ve Mikrobiyoloji Risk Factors Lymphopenia Virology Yaşam Bilimleri Health Sciences INFECTION Humans Mortality PREDICTORS Outcome Retrospective Studies İmmünoloji General Immunology and Microbiology SARS-CoV-2 Temel Bilimler Life Sciences COVID-19 General Medicine Middle Aged Bulaşıcı hastalıklar Hospitalization C-Reactive Protein Infectious Diseases BULAŞICI HASTALIKLAR Yaşam Bilimleri (LIFE) Female Parasitology Natural Sciences Procalcitonin |
| Zdroj: | The Journal of Infection in Developing Countries. 16:435-444 |
| ISSN: | 1972-2680 |
| DOI: | 10.3855/jidc.15411 |
| Popis: | Introduction: Since the beginning of the pandemic, factors associated with mortality in patients with corona virus infection disease 2019 (COVID-19) have been investigated. Comorbidities and increased age have been frequently reported to be associated with mortality. We aimed to evaluate the factors associated with unfavorable outcome of patients with COVID-19 at an early period of the pandemic. Methodology: This single center, retrospective, observational study was conducted among laboratory confirmed COVID-19 patients hospitalized between March 11 and May 5, 2020, at Umraniye Training and Research Hospital, Istanbul, Turkey. The effects of the severity of illness, comorbidities, symptoms, and laboratory findings on the clinical outcome were evaluated. Factors associated with unfavorable outcome (necessity of mechanical ventilation or death) were examined using Cox proportional hazards models. Results: Out of a total of 728 patients, 53.8% were men and median age 54 years. The 30-day mortality rate was 4.9% among all hospitalized patients. A logistic regression model identified six predictors of unfavorable clinical outcome: age, severity of illness, the numbers of comorbidities, lymphopenia, high levels of C-reactive protein, and procalcitonin. Conclusions: The mortality rate was lower among the patients with COVID-19, hospitalized during the early period of the pandemic. Older age, higher severity score on admission, the numbers of comorbidities, higher levels of C-reactive protein, procalcitonin, and lymphopenia were identified to be associated with unfavorable outcome of the hospitalized patients with COVID-19. |
| Databáze: | OpenAIRE |
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