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_21
Snippet: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.04.07.20057299 doi: medRxiv preprint strongly related to stay length (P<0.01, Figure 1B and Figure 1C ). Severe patients aged 45 years and over had longer hospital stays. The results of multivariate Cox Proportional Hazards Model showed that being aged 45 years and over (Hazard ratio (HR): 0.74, 95% confidence interval (CI): 0.60-0.91, P= 0......
Document: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.04.07.20057299 doi: medRxiv preprint strongly related to stay length (P<0.01, Figure 1B and Figure 1C ). Severe patients aged 45 years and over had longer hospital stays. The results of multivariate Cox Proportional Hazards Model showed that being aged 45 years and over (Hazard ratio (HR): 0.74, 95% confidence interval (CI): 0.60-0.91, P= 0.005), being admitted to provincial hospital (HR: 0.73, 95% CI: 0.54-0.99, P= 0.04), living in areas with more than 5.5 healthcare workers per 1000 population (HR: 1.32, 95% CI: 1.05-1.65, P= 0.016), and having serious illness (HR: 0.66, 95% CI: 0.48-0.90, P= 0.008) were the risk factors for prolonged hospital stays. The HR less than one indicates that the probability of discharge was reduced and the risk of prolonged hospitalization was increased ( Figure 2) . Alternatively, we also considered age and service density as continuous variables and tried a stepwise-selected Cox model to calculate HR. The relationships between these four variables and discharge were still statistically different.
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