Selected article for: "diagnosis onset and illness time interval"
Author: zhuo wang; John S. Ji; Yang Liu; Runyou Liu; Yuxin Zha; Xiaoyu Chang; Lun Zhang; Yu Zhang; Jing Zeng; Ting Dong; Xinyin Xu; Lijun Zhou; Jun He; Yin Deng; Bo Zhong; Xianping Wu
Title: Survival analysis of hospital length of stay of novel coronavirus (COVID-19) pneumonia patients in Sichuan, China
  • Document date: 2020_4_10
    • ID: 3xfdiz26_14
    Snippet: The relationship between patient's age, gender, time interval from illness onset to diagnosis, hospital grade of patients, health servicers per 1,000 population in the patient's permanent residence, clinical grade, and the length of hospital stay after admissions for confirmed patients was compared and analyzed by survival analysis. The event of interest is discharge status, 0 for no discharge, 1 for discharge, and death is treated as 0. The Kapl.....
    Document: The relationship between patient's age, gender, time interval from illness onset to diagnosis, hospital grade of patients, health servicers per 1,000 population in the patient's permanent residence, clinical grade, and the length of hospital stay after admissions for confirmed patients was compared and analyzed by survival analysis. The event of interest is discharge status, 0 for no discharge, 1 for discharge, and death is treated as 0. The Kaplan-Meier method was used for single factor comparison, and the Cox Proportional Hazards Model was used for multi-factor comparison. 12 Its formula was:

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