Volume 22 Issue 7
Jul.  2024
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Article Navigation >  Chinese Journal of General Practice  > 2024  >  22(7): 1116-1120
HONG Jiahui, LIU Yongyang, FANG Yukun, QIU Yiyin, FANG Kai, CHEN Qingyong. CRP/ALB combined with lung consolidation in predicting the severity of COVID-19[J]. Chinese Journal of General Practice, 2024, 22(7): 1116-1120. doi: 10.16766/j.cnki.issn.1674-4152.003579
Citation: HONG Jiahui, LIU Yongyang, FANG Yukun, QIU Yiyin, FANG Kai, CHEN Qingyong. CRP/ALB combined with lung consolidation in predicting the severity of COVID-19[J]. Chinese Journal of General Practice, 2024, 22(7): 1116-1120. doi: 10.16766/j.cnki.issn.1674-4152.003579
shu

CRP/ALB combined with lung consolidation in predicting the severity of COVID-19

doi: 10.16766/j.cnki.issn.1674-4152.003579
  • 1.

    The Second Clinical College of Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310053, China

Funds:

 2020KY1025

  • Received Date: 2023-08-30
    Available Online: 2024-09-05
    Abstract
  •   Objective  Corona Virus Disease 2019 (COVID-19) has become a global pandemic disease, which can lead to multiple organ damage syndrome and high mortality. Therefore, there is an urgent need for reliable biomarkers that can be used for early screening for possible progression to severe infection, which is important for improving clinical prognosis.  Methods  For this retrospective study, basic information and clinical data from December 8, 2022 to January 31, 2023 were extracted from the medical records of patients with COVID-19 admitted to the 903rd Hospital of the People's Liberation Army. On the basis of a new type of coronavirus infection diagnosis and treatment plan 10 (trial version) of parting, after into and exclusion criteria, the patients were divided into two groups, non-severe group (n=57) and severe group (n=37). Univariate analysis was used to screen out statistically significant indicators between the two groups, then multivariate analysis logistic regression was used to screen out independent risk factors affecting the severity of early COVID-19. The receiver operating characteristic curve was used to evaluate and analyze the predictive value of the corresponding indicators for the severity stratification of COVID-19 in the early stage. Finally, a nomogram was used to evaluate the test efficacy of the prediction model.  Results  The C-reactive protein/albumin ratio (CRP/ALB), lung consolidation and coronary heart disease were predictors of severity prediction, the area under the ROC of CRP/ALB was 0.762 (95% CI: 0.663-0.862, P < 0.001), the area under the ROC of lung consolidation was 0.682 (95% CI: 0.573-0.791, P=0.003), and the area under the ROC of coronary heart disease was 0.638(95% CI: 0.520-0.756, P=0.024). The AUC of CRP/ALB and lung consolidation was 0.801(95% CI: 0.708-0.894). The nomogram prediction model and its calibration curve showed that the prediction model had high accuracy with the actual situation.  Conclusion  CRP/ALB combined with lung consolidation can predict the severity of COVID-19.

     

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