Multilevel model analysis for influencing factors of readmission in coronary heart disease patients with heart failure

HAN Qiang; TIAN Jing; YAN Jing-jing; LI Chen-hao; YANG Hong; WANG Ke; HAN Qing-hua; ZHANG Yan-bo

doi:10.16462/j.cnki.zhjbkz.2019.08.015

Volume 23 Issue 8

Aug. 2019

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Article Navigation > CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION > 2019 > 23(8): 961-965

HAN Qiang, TIAN Jing, YAN Jing-jing, LI Chen-hao, YANG Hong, WANG Ke, HAN Qing-hua, ZHANG Yan-bo. Multilevel model analysis for influencing factors of readmission in coronary heart disease patients with heart failure[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2019, 23(8): 961-965. doi: 10.16462/j.cnki.zhjbkz.2019.08.015

Citation:

HAN Qiang, TIAN Jing, YAN Jing-jing, LI Chen-hao, YANG Hong, WANG Ke, HAN Qing-hua, ZHANG Yan-bo. Multilevel model analysis for influencing factors of readmission in coronary heart disease patients with heart failure[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2019, 23(8): 961-965. doi: 10.16462/j.cnki.zhjbkz.2019.08.015

Citation:

HAN Qiang, TIAN Jing, YAN Jing-jing, LI Chen-hao, YANG Hong, WANG Ke, HAN Qing-hua, ZHANG Yan-bo. Multilevel model analysis for influencing factors of readmission in coronary heart disease patients with heart failure[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2019, 23(8): 961-965. doi: 10.16462/j.cnki.zhjbkz.2019.08.015

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Multilevel model analysis for influencing factors of readmission in coronary heart disease patients with heart failure

doi: 10.16462/j.cnki.zhjbkz.2019.08.015

HAN Qiang^{1, 3},
TIAN Jing²,
YAN Jing-jing^{1, 3},
LI Chen-hao^{1, 3},
YANG Hong^{1, 3},
WANG Ke^{1, 3},
HAN Qing-hua^{2
,
,},
ZHANG Yan-bo^{1, 3
,
,}

1.
Department of Biostatistics, School of Public Health, Shanxi Medical University, Taiyuan 030000, China
2.
Department of Cardiology, First Affiliated Hospital, Shanxi Medical University, Taiyuan 030000, China
3.
Shanxi Provincial Key Laboratory of Major Assessment Diseases Risk, Taiyuan 030000, China

Funds:

National Natural Science Foundation of China 81872714

Provincial Youth Science and Technology Research Fund of Shanxi 201801D221423

Provincial Key Laboratory of Shanxi 201805D111006

More Information

Corresponding author: ZHANG Yan-bo, E-mail: sxmuzyb@126.com; HAN Qing-hua, E-mail: syhqh@sohu.com
Received Date: 2019-04-06
Rev Recd Date: 2019-07-09
Publish Date: 2019-08-10

Abstract

Abstract

Objective To explore the influencing factors of readmission in coronary heart disease patients with heart failure by constructing a multilevel Cox regression model. Methods A total of 1 433 coronary heart disease patients with heart failure were consecutively enrolled, from two hospitals in Shanxi Province from January, 2014 to December, 2017. Patients' medical records (including baseline data, examination and treatment) were recorded and patients were followed up. The median follow-up period was 23 months. Univariate Cox regression analysis and mutivariate Cox regression analysis were used to screen the independent variables. Two-level Cox regression model was used to analyze the influencing factors. Results Rehospitalization occurred in 436(30.4%) cases. Two-level Cox regression model showed that advanced age(HR=1.010, 95% CI: 1.001-1.019, P=0.032), male(HR=1.234, 95% CI: 1.009-1.509, P=0.040), physical labor(HR=1.458, 95% CI: 1.036-2.050, P=0.030), urban medical insurance (HR=1.513, 95% CI: 1.120-2.043, P=0.007), and prolonged QRS interval (HR=1.004, 95% CI: 1.001-1.008, P=0.018) were independent risk factors for readmission coronary heart disease patients with heart failure. High urine specific gravity(HR=0.000, 95% CI: 0.000-0.059, P=0.021) was a protective factor. Conclusions The age, gender, occupation, urban medical insurance, QRS intervall, and urine specific gravity are influencing factors of readmission in coronary heart disease patients with heart failure. Strengthening clinical nursing and monitoring and perfecting social security system can reduce the occurrence of patients' rehospitalization.
- Coronary heart disease,
- Heart failure,
- Readmission,
- Influencing factors,
- Two-level Cox regression model

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References(22)

References

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