The characteristics of laboratory tests at admission and the risk factors for adverse clinical outcomes of severe and critical COVID-19 patients
Autor: | Juan Liu, Rui Qin, Yuan-ming Ba, Dan Li, Chen-liang Zhou, Qi Long, Min Wang, Jing Li, Gang Li, Weinan Li, Ye-ming Wang, Liu-lin Wang, Qiu-fen Dong, Xiaobin Cheng, Bin Song |
---|---|
Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
0301 basic medicine
Adult Male medicine.medical_specialty China medicine.medical_treatment Population Infectious and parasitic diseases RC109-216 03 medical and health sciences Leukocyte Count 0302 clinical medicine Internal medicine White blood cell Oxygen therapy medicine Humans 030212 general & internal medicine education Aged Proportional Hazards Models Retrospective Studies Mechanical ventilation education.field_of_study Cox proportional hazards model Proportional hazards model business.industry Public health Mortality rate Laboratory tests Age Factors COVID-19 Retrospective cohort study Middle Aged Respiration Artificial Hospitalization 030104 developmental biology Infectious Diseases medicine.anatomical_structure Risk factors Female business Research Article |
Zdroj: | BMC Infectious Diseases BMC Infectious Diseases, Vol 21, Iss 1, Pp 1-8 (2021) |
ISSN: | 1471-2334 |
Popis: | Background The current coronavirus disease 2019 (COVID-19) is a public health emergency. In this study, we aimed to evaluate the risk factors for mortality in severe and critical COVID-19 patients. Methods We performed a retrospective study of patients diagnosed with severe and critical COVID-19 from four hospitals in Wuhan, China, by evaluating the clinical characteristics and laboratory results, and using Cox proportional hazards model to assess the risk factors involved in disease progression. Results In total, 446 patients with COVID-19 were enrolled. The study indicated a high mortality rate (20.2%) in severe and critical COVID-19 patients. At the time of admission, all patients required oxygen therapy, and 52 (12%) required invasive mechanical ventilation, of which 50 (96%) died. The univariate Cox proportional hazards model showed a white blood cell count of more than 10 × 109/L (HR 3.993,95%CI 2.469 to 6.459) that correlated with an increased mortality rate. The multivariable Cox proportional hazards model demonstrated that older age (HR 1.066, 95% CI 1.043 to 1.089) and higher white blood cell count (HR 1.135, 95% CI 1.080 to 1.192) were independent risk factors for determining COVID-19 associated mortality. Conclusions COVID-19 is associated with a significant risk of morbidity and mortality in the population. Older age and higher white blood cell count were found to be independent risk factors for mortality. |
Databáze: | OpenAIRE |
Externí odkaz: |