Clinical Features Predicting Mortality Risk in Patients With Viral Pneumonia: The MuLBSTA Score
Shanghai Jiao Tong University · Ruijin Hospital · +2 more institutions
Abstract
Objective The aim of this study was to further clarify clinical characteristics and predict mortality risk among patients with viral pneumonia. Methods A total of 528 patients with viral pneumonia at RuiJin hospital in Shanghai from May 2015 to May 2019 were recruited. Multiplex real-time RT-PCR was used to detect respiratory viruses. Demographic information, comorbidities, routine laboratory examinations, immunological indexes, etiological detections, radiological images and treatment were collected on admission. Results 76 (14.4%) patients died within 90 days in hospital. A predictive MuLBSTA score was calculated on the basis of a multivariate logistic regression model in order to predict mortality with a…
Citation impact
- FWCI
- 60.86
- Percentile
- 100%
- References
- 32
Authors
7- LGLingxi Guo
Shanghai Jiao Tong University, Ruijin Hospital
- DWDong Wei
Ruijin Hospital, Shanghai Jiao Tong University
- XZXinxin Zhang
Ruijin Hospital, Shanghai Jiao Tong University
- YWYurong Wu
Zhengzhou People's Hospital, Third Affiliated Hospital of Zhengzhou University
- QYQing Yun Li
Ruijin Hospital, Shanghai Jiao Tong University
Topics & keywords
- Medicine
- Internal medicine
- Pneumonia
- Logistic regression
- Etiology
- Multivariate analysis
- Pneumonia severity index
- Gastroenterology
- Good health and well-being