Analysis of Influencing Factors of Death in the Elderly With Coronavirus Disease 2019 Based on Propensity Score Matching.
10.3881/j.issn.1000-503X.16256
- Author:
Ying CHEN
1
;
Hai-Ping HUANG
1
;
Xin LI
1
;
Si-Jie CHAI
2
;
Jia-Li YE
2
;
Ding-Zi ZHOU
3
;
Tao ZHANG
1
Author Information
1. Department of Epidemiology and Health Statistics,West China School of Public Health/West China Fourth Hospital,Sichuan University,Chengdu 610041,China.
2. Sichuan Tianfu New District Public Health Center,Chengdu 610213,China.
3. Department of Pneumoconiosis/Department of Respiratory and Critical Care Medicine,West China School of Public Health/West China Fourth Hospital,Sichuan University,Chengdu 610041,China.
- Publication Type:Journal Article
- Keywords:
LASSO regression;
coronavirus disease 2019;
influencing factor;
propensity score matching
- MeSH:
Humans;
COVID-19/mortality*;
Aged;
Propensity Score;
China/epidemiology*;
Risk Factors;
Logistic Models;
Smoking;
SARS-CoV-2;
Male;
Female;
Stroke;
Neoplasms
- From:
Acta Academiae Medicinae Sinicae
2025;47(3):375-381
- CountryChina
- Language:English
-
Abstract:
Objective To analyze the influencing factors of death in the elderly with coronavirus disease 2019(COVID-19).Methods The case data of death caused by COVID-19 in West China Fourth Hospital from January 1 to July 8,2023 were collected,and surviving cases from the West China Elderly Health Cohort infected with COVID-19 during the same period were selected as the control.LASSO-Logistic regression was adopted to analyze the data after propensity score matching and the validity of the model was verified by drawing the receiver operating characteristic curve.Results A total of 3 239 COVID-19 survivors and 142 deaths with COVID-19 were included.The results of LASSO-Logistic regression showed that smoking(OR=3.33,95%CI=1.46-7.59,P=0.004),stroke(OR=3.55,95%CI=1.15-10.30,P=0.022),malignant tumors(OR=19.93, 95%CI=8.52-49.23, P<0.001),coronary heart disease(OR=7.68, 95%CI=3.52-17.07, P<0.001),fever(OR=0.51, 95%CI=0.26-0.96, P=0.042),difficulty breathing or asthma symptoms(OR=21.48, 95%CI=9.44-51.95, P<0.001),and vomiting(OR=8.19,95%CI=2.87-23.58, P<0.001)increased the risk of death with COVID-19.The prediction model constructed based on the influencing factors achieved an area under the curve of 0.889 in the test set.Conclusions Smoking,stroke,malignant tumors,coronary heart disease,fever,breathing difficulty or asthma symptoms,and vomiting were identified as key factors influencing the death risk in COVID-19.
