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Survival Evaluation of Hospitalized COVID-19 Patients with Cox Frailty Approach

Published online by Cambridge University Press:  18 August 2022

Freshteh Osmani Open the ORCID record for Freshteh Osmani [Opens in a new window]  and
Masood Ziaee
Freshteh Osmani*
Affiliation:
Dentistry Clinical Research Development Center, Birjand University of Medical Sciences, Birjand, Iran Infectious disease Research center, Birjand University of Medical Sciences, Birjand, Iran
Masood Ziaee
Affiliation:
Infectious disease Research center, Birjand University of Medical Sciences, Birjand, Iran
*
Corresponding author: Freshteh Osmani, Email: fereshteh.osmani@gmail.com.
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Abstract

Introduction:

The survival cox analysis is becoming more popular in time-to-event data analysis. When there are unobserved /unmeasured individual factors, then the results of this model may not be dependable. Hence, this study aimed to determine the factors associated with Covid-19 patients’ survival time with considering frailty factor.

Methods:

This study was conducted at 1 of the hospitals in Iran, so that hospitalized patients with COVID-19 were included. Epidemiological, clinical, laboratory, and outcome data on admission were extracted from electronic medical records. Gamma-frailty Cox model was used to identify the effects of the risk factors.

Results:

A total of 360 patients with COVID-19 enrolled in the study. The median age was 74 years (IQR 61 – 83), 903 (57·7%) were men, and 661 (42·3%) were women; the mortality rate was 17%. The Cox frailty model showed that there is at least a latent factor in the model (P = 0.005). Age and platelet count were negatively associated with the length of stay, while red blood cell count was positively associated with the length of stay of patients.

Conclusion:

The Cox frailty model indicates that in addition to age, the frailty factor is a useful predictor of survival in Covid-19 patients.

Keywords

survival analysisfrailty cox modelcovid-19
Type
Original Research
Information
Disaster Medicine and Public Health Preparedness , Volume 17 , 2023 , e233
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of Society for Disaster Medicine and Public Health, Inc.

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