A Clinical Profile And Factors Associated With Severity Of The Disease Among Polish Patients Hospitalized Due To Covid-19 - An Observational Study

ADVANCES IN RESPIRATORY MEDICINE(2021)

引用 7|浏览8
暂无评分
摘要
Introduction: The coronavirus disease 2019 (COVID-19) is one of the greatest clinical challenges of the last decades. Clinical factors associated with severity of the disease remain unclear. The aim of the study was to characterize Polish patients hospitalized due to COVID-19 and to evaluate potential prognostic factors of severe course of the disease.Material and methods: An observational study was conducted from March to July 2020 in the Pulmonology and Allergology Department of the University Hospital in Krakow, Poland. Consecutive patients with confirmed SARS- CoV-2 (Severe Acute Respiratory Syndrome Coronavirus 2) infection were enrolled, and data about past medical history, signs and symptoms, laboratory results, imaging studies results, in-hospital management and outcomes was prospectively gathered.Results: The study sample comprised 100 patients at the mean age of 59.2 (SD 16.1) years among whom 63 (63.0%) were male. Among them 10 (10.0%) died, 47 (47%) presented respiratory failure, 15 (15.0%) were transferred to the intensive care unit, 17 (17.0%) developed acute kidney injury, 7 (7.0%) had sepsis and 10 (10.0%) were diagnosed with pulmonary embolism. Multivariable analysis revealed age (OR 1.1; 95% CI 1.01-1.15), body mass index (BMI; OR 1.24; 95% CI 1.01-1.53), modified early warning score (MEWS; OR 3.95; 95% CI 1.48-12), the highest d-dimer value (OR 1.73; 95% CI 1.03-2.9) and lactate dehydrogenase (LDH; OR 1.16; 95% CI 1.03-1.3) to be associated with severe course of COVID-19.Conclusion: This observational study showed that almost half of hospitalized patients with COVID-19 developed respiratory failure in the course of the disease. Increasing age, BMI, MEWS, d-dimer value and LDH concentration were associated with the severity of COVID-19.
更多
查看译文
关键词
clinical characteristics, coronavirus disease 2019, respiratory failure, risk factors, SARS-CoV-2
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要