Chrome Extension
WeChat Mini Program
Use on ChatGLM

Clinical characteristics and risk factors for severe-critically ill COVID-19 adult patients in Jiangsu, China: a multiple-centered, retrospective study

Research Square(2020)

Cited 2|Views16
No score
Abstract
Abstract Background A number of reports have documented the clinical characteristics of patients with severe coronavirus disease 2019 (COVID-19) in Wuhan. Clinical features of severe-critically ill COVID-19 patients in Jiangsu, outside Wuhan, remains unknown. Methods This multi-centered retrospective study collected the information of 631 laboratory-confirmed COVID-19 patients hospitalized at 28 authorized hospitals in Jiangsu province between January 23, 2019 and March 13, 2020. Epidemiological and demographic information, clinical and radiological characteristics, laboratory results and treatment of these patients were analyzed. Results A total of 583 adult patients with laboratory-confirmed COVID-19 were enrolled for final analysis, including 84 severe-critically ill patients and 499 mild-moderate patients. Median age of the severe-critically ill patients was 57.0 years [interquartile range (IQR), 49.0-65.8], and 50 (59.5%) were males. Multisystemic laboratory abnormalities were observed on admission in severe-critically ill patients. The severe-critically ill patients showed more noticeable radiologic abnormalities and more coexisting health issues as compared to mild-moderate patients. Most of the severe-critically ill COVID-19 patients become deteriorated in two weeks after diagnosis. Age [odds ratio (OR) 1.08, 95% confidence interval (CI) (1.03-1.14)], D-dimer (OR 3.21, 95% CI 1.39-7.40), and lymphocytes (OR 0.28, 95% CI 0.04-0.88) were independently associated with the progression of severe-critically illness. Conclusions Older age, higher D-dimer levels and less lymphocyte counts on admission are potential risk factors for COVID-19 patients to develop into severe and critically illness. The results would help clinicians to identify high-risk patients in advance.
More
Translated text
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined