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Early predictors and screening tool developing for severe patients with COVID-19.
Fang, Le; Xie, Huashan; Liu, Lingyun; Lu, Shijun; Lv, Fangfang; Zhou, Jiancang; Xu, Yue; Ge, Huiqing; Yu, Min; Liu, Limin.
  • Fang L; Zhejiang Provincial Center for Disease Control and Prevention, 3399 Binsheng Road, Binjiang District, Hangzhou, Zhejiang, China.
  • Xie H; Jingmen Center for Disease Control and Prevention, Jingmen, Hubei, China.
  • Liu L; Jingmen Center for Disease Control and Prevention, Jingmen, Hubei, China.
  • Lu S; Dongyang Center for Disease Control and Prevention, Dongyang, Jinhua, China.
  • Lv F; Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
  • Zhou J; Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
  • Xu Y; Zhejiang Provincial Center for Disease Control and Prevention, 3399 Binsheng Road, Binjiang District, Hangzhou, Zhejiang, China.
  • Ge H; Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
  • Yu M; Zhejiang Provincial Center for Disease Control and Prevention, 3399 Binsheng Road, Binjiang District, Hangzhou, Zhejiang, China. minyucdc@163.com.
  • Liu L; Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
BMC Infect Dis ; 21(1): 1040, 2021 Oct 07.
Article in English | MEDLINE | ID: covidwho-1455942
ABSTRACT

BACKGROUND:

Coronavirus disease 2019 (COVID-19) is a declared global pandemic, causing a lot of death. How to quickly screen risk population for severe patients is essential for decreasing the mortality. Many of the predictors might not be available in all hospitals, so it is necessary to develop a simpler screening tool with predictors which can be easily obtained for wide wise.

METHODS:

This retrospective study included all the 813 confirmed cases diagnosed with COVID-19 before March 2nd, 2020 in a city of Hubei Province in China. Data of the COVID-19 patients including clinical and epidemiological features were collected through Chinese Disease Control and Prevention Information System. Predictors were selected by logistic regression, and then categorized to four different level risk factors. A screening tool for severe patient with COVID-19 was developed and tested by ROC curve.

RESULTS:

Seven early predictors for severe patients with COVID-19 were selected, including chronic kidney disease (OR 14.7), age above 60 (OR 5.6), lymphocyte count less than < 0.8 × 109 per L (OR 2.5), Neutrophil to Lymphocyte Ratio larger than 4.7 (OR 2.2), high fever with temperature ≥ 38.5℃ (OR 2.2), male (OR 2.2), cardiovascular related diseases (OR 2.0). The Area Under the ROC Curve of the screening tool developed by above seven predictors was 0.798 (95% CI 0.747-0.849), and its best cut-off value is > 4.5, with sensitivity 72.0% and specificity 75.3%.

CONCLUSIONS:

This newly developed screening tool can be a good choice for early prediction and alert for severe case especially in the condition of overload health service.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Document Type: Article Main subject: COVID-19 Subject: COVID-19 Type of study: Diagnostic study / Etiology study / Observational study / Prognostic study / Risk factors / Screening study Language: English Journal: BMC Infect Dis Clinical aspect: Diagnosis / Etiology / Prediction / Prognosis Year: 2021

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Full text: Available Collection: International databases Database: MEDLINE Document Type: Article Main subject: COVID-19 Subject: COVID-19 Type of study: Diagnostic study / Etiology study / Observational study / Prognostic study / Risk factors / Screening study Language: English Journal: BMC Infect Dis Clinical aspect: Diagnosis / Etiology / Prediction / Prognosis Year: 2021
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