06 October 2021: Database Analysis
A Simple Clinical Prediction Tool for COVID-19 in Primary Care with Epidemiology: Temperature-Leukocytes-CT Results
Wanming Hao 1CDEF* , Long Zhao 2CDE* , Xinjuan Yu 1CDE* , Song Wu 3DE , Weifeng Xie 4BF , Ning Wang 1BF , Weihong Lv 5BF , Akshay Sood 6DF , Shuguang Leng 6DF , Yongchun Li 1DF , Qing Sun 7AEF* , Jun Guan 8EF* , Wei Han 1AEF*DOI: 10.12659/MSM.931467
Med Sci Monit 2021; 27:e931467
Figure 1 Flowchart of study design. Training cohort: From 17 January to 4 February 2020, 30 confirmed COVID-19 patients were enrolled from the COVID-19 ward of Qingdao Thorax Hospital, and 78 suspected patients (with SARS-CoV-2 testing negative) were enrolled from the fever clinic of Qingdao Municipal Hospital as controls. Validation cohort: From 4 February to 28 February 2020, 30 confirmed COVID-19 patients were enrolled from the COVID-19 ward of Qingdao Thorax Hospital, and 74 suspected patients (with SARS-CoV-2 testing negative) were enrolled from the fever clinic of Qingdao Municipal Hospital as controls. The variable coefficients in model A were integrated to obtain a simplified prediction model (model B). Consistency evaluation of model A and model B were verified in all subjects, including the training cohort and validation cohort. The ETLC prediction (E – epidemiological history; T – body temperature; L – leukocytes count; C – chest CT) scoring was established according to this simplified prediction model (model B).