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World Journal of Emergency Medicine ›› 2022, Vol. 13 ›› Issue (6): 453-458.doi: 10.5847/wjem.j.1920-8642.2022.103

• Original Articles • Previous Articles     Next Articles

Exploratory COVID-19 death risk score based on basic laboratory tests and physiological clinical measurements

Gui-ying Dong1, Fei-fei Jin2, Qi Huang3, Chun-bo Wu1, Ji-hong Zhu1(), Tian-bing Wang2()   

  1. 1Emergency Department, Peking University People’s Hospital, Beijing 100044, China
    2Trauma Center, Peking University People’s Hospital, Key Laboratory of Trauma and Neural Regeneration (Peking University), Ministry of Education, Beijing100044, China
    3Department of Endocrinology and Metabolism, Peking University People’s Hospital, Beijing100044, China
  • Received:2022-03-09 Accepted:2022-06-10 Online:2022-09-16 Published:2022-11-01
  • Contact: Ji-hong Zhu,Tian-bing Wang E-mail:zhujihong642021@163.com;wangtianbing@pkuph.edu.cn

Abstract:

BACKGROUND: In the event of a sudden shortage of medical resources, a rapid, simple, and accurate prediction model is essential for the 30-day mortality rate of patients with COVID-19.

METHODS: This retrospective study compared the characteristics of the survivals and non-survivals of 278 patients with COVID-19. Logistic regression analysis was performed to obtain the “COVID-19 death risk score” (CDRS) model. Using the area under the receiver operating characteristic (AUROC) curve and Hosmer-Lemeshow goodness-of-fit test, discrimination and calibration were assessed. Internal validation was conducted using a regular bootstrap method.

RESULTS: A total of 63 (22.66%) of 278 included patients died. The logistic regression analysis revealed that high-sensitivity C-reactive protein (hsCRP; odds ratio [OR]=1.018), D-dimer (OR=1.101), and respiratory rate (RR; OR=1.185) were independently associated with 30-day mortality. CDRS was calculated as follows: CDRS=-10.245+(0.022×hsCRP)+(0.172×D-dimer)+(0.203×RR). CDRS had the same predictive effect as the sequential organ failure assessment (SOFA) and “confusion, uremia, respiratory rate, blood pressure, and age over 65 years” (CURB-65) scores, with AUROCs of 0.984 for CDRS, 0.975 for SOFA, and 0.971 for CURB-65, respectively. And CDRS showed good calibration. The AUROC through internal validations was 0.980 (95% confidence interval [CI]: 0.965-0.995). Regarding the clinical value, the decision curve analysis of CDRS showed a net value similar to that of CURB-65 in this cohort.

CONCLUSION: CDRS is a novel, efficient and accurate prediction model for the early identification of COVID-19 patients with poor outcomes. Although it is not as advanced as the other models, CDRS had a similar performance to that of SOFA and CURB-65.

Key words: COVID-19, 30-day mortality, Prediction model