Selected article for: "Cox regression and Multivariate analysis"
Author: Ting Ding; Jinjin Zhang; Tian Wang; Pengfei Cui; Zhe Chen; Jingjing Jiang; Su Zhou; Jun Dai; Bo Wang; Suzhen Yuan; Wenqing Ma; Lingwei Ma; Yueguang Rong; Jiang Chang; Xiaoping Miao; Xiangyi Ma; Shixuan Wang
Title: A Multi-hospital Study in Wuhan, China:Protective Effects of Non-menopause and Female Hormones on SARS-CoV-2 infection
  • Document date: 2020_3_30
    • ID: lplodn60_61
    Snippet: A, Univariate cox regression of age with probability of hospitalization; B, Univariate cox regression of menstruation status with probability of hospitalization, menstruation status was divided into non-menopause (regular or irregular) and menopause. C, Univariate cox regression of disease severity with probability of hospitalization. D, Multivariate Cox analysis, the covariates age, menstruation and severity are significant (p < 0.001, 0.033, 0......
    Document: A, Univariate cox regression of age with probability of hospitalization; B, Univariate cox regression of menstruation status with probability of hospitalization, menstruation status was divided into non-menopause (regular or irregular) and menopause. C, Univariate cox regression of disease severity with probability of hospitalization. D, Multivariate Cox analysis, the covariates age, menstruation and severity are significant (p < 0.001, 0.033, 0.007). However, the covariate comorbidities fail to be significant (p = 0.362, which is greater than 0.05). The hazard ratio for menstruation is 1.91 indicating a strong relationship between non-menopauseand decreased risk of days in hospital. The hazard ratio for age and severityis 0.26 and 0.41 respectively, which indicate age and severity have a huge impact on risk of days in hospital.

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