Selected article for: "ck value and clinical outcome"

Author: Wan, S.; Qu, G.; Yu, H.; Zhu, H.; Huang, G.; Chen, L.; Zhang, M.; Liu, J.; Pei, B.
Title: Features of creatine-kinase in COVID-19 patients with different ages, clinical types and outcomes: A cohort study
  • Cord-id: slkrh7h4
  • Document date: 2020_11_1
  • ID: slkrh7h4
    Snippet: Objectives: To study the features of creatine-kinase (CK) in COVID-19 patients with different ages, clinical types and outcomes and quantify the relationship between CK value and clinical type. Methods: All laboratory confirmed COVID-19 patients hospitalized in Xiangyang No.1 People's Hospital were included. Patients' general information, clinical type, all CK values and outcome were collected. Results: The peak median value of CK in cases aged greater than or equal to 71 years old (appeared at
    Document: Objectives: To study the features of creatine-kinase (CK) in COVID-19 patients with different ages, clinical types and outcomes and quantify the relationship between CK value and clinical type. Methods: All laboratory confirmed COVID-19 patients hospitalized in Xiangyang No.1 People's Hospital were included. Patients' general information, clinical type, all CK values and outcome were collected. Results: The peak median value of CK in cases aged greater than or equal to 71 years old (appeared at T2) was higher than that in cases aged less than or equal to 70 years old. There was statistical difference between the two groups. Similarly, the peak in critical cases (appeared at T2) was higher than moderate and severe types, and significant difference were existed among moderate, severe, and critical types. Moreover, the peak value in death group (appeared at T2) was higher than those in survival group. Significant difference was also found between them. According to the optimal scale regression model, the CK value and age were associated with the clinical type. Conclusions: Difference of the CK in different ages, clinical types, and outcomes were significant. The results of the optimal scale regression model are helpful to judge the clinical type of COVID-19 patients.

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