Combined predictive performance of age and neutrophilic percentage on admission for severe novel coronavirus disease 2019
| Autor: | Zhenjie Hu, Lixia Liu, Xixin Yan, Congcong Zhao, Guijun Zhu, Haijun Zhi, Zhigang Cai, Yuhong Chen, Kun Zhang |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
medicine.medical_specialty
China Respiratory rate Neutrophils Youden's J statistic ORIGINAL PAPERS 030204 cardiovascular system & hematology 03 medical and health sciences 0302 clinical medicine Internal medicine Medicine Humans 030212 general & internal medicine Retrospective Studies Original Paper business.industry SARS-CoV-2 Public health Area under the curve COVID-19 Retrospective cohort study General Medicine Prognosis Confidence interval Clinical trial Infectious Diseases Cohort business |
| Zdroj: | International Journal of Clinical Practice |
| ISSN: | 1742-1241 1368-5031 |
| Popis: | Background Novel coronavirus disease 2019 (COVID‐19) poses a huge threat to the global public health. This study aimed to identify predictive indicators of severe COVID‐19. Methods We retrospectively collected clinical data on hospital admission of all patients with severe COVID‐19 and a control cohort (1:1) of gender‐ and hospital‐matched patients with mild disease from 13 designated hospitals in the Hebei Province between 22 January and 15 April 2020. Results A total of 104 patients (52 with severe COVID‐19 and 52 with mild disease) were included. Only age, fever, duration from symptom onset to confirmation, respiratory rate, percutaneous oxygen saturation (SpO2) and neutrophilic percentage were independent predictors of severe COVID‐19. Age and neutrophilic percentage performed best in predicting severe COVID‐19, followed by SpO2. ‘Age + neutrophilic percentage’ (the sum of age and neutrophilic percentage) (area under the curve [AUC] 0.900, 95% confidence interval [CI] 0.825‐0.950, P 119.1 (sensitivity, 86.5%; specificity, 84.6%; Youden index, 0.712). Conclusion The combination of age and neutrophil percentage could effectively predict severe COVID‐19. The sum of age and neutrophil percentage was recommended for clinical application because of its excellent predictive value and practicability. Trail registration China Clinical Trial Registry, number ChiCTR2000030226. Registered 26 February 2020‐Retrospectively registered, http://www.chictr.org.cn/showproj.aspx?proj=49855 |
| Databáze: | OpenAIRE |
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