DU Wenjie, GAO Chunhong, HU Xiaolin, TANG Yifan. Analysis on influencing factors of severity of comorbidities and quality of life in elderly patients with cardiovascular disease[J]. Journal of Clinical Medicine in Practice, 2020, 24(12): 51-54. DOI: 10.7619/jcmp.202012015
Citation: DU Wenjie, GAO Chunhong, HU Xiaolin, TANG Yifan. Analysis on influencing factors of severity of comorbidities and quality of life in elderly patients with cardiovascular disease[J]. Journal of Clinical Medicine in Practice, 2020, 24(12): 51-54. DOI: 10.7619/jcmp.202012015

Analysis on influencing factors of severity of comorbidities and quality of life in elderly patients with cardiovascular disease

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  • Received Date: April 15, 2020
  • Objective To study the influencing factors of comorbidity severity and life quality in elderly cardiovascular disease patients. Methods A total of 167 elderly cardiovascular disease patients were selected as research objects, and were divided into<20 scores group(n=65), 20~50 scores group(n=58)and >50 scores group(n=44)according to modified Cumulative Illness Rating Scale-Geriatric(MCIRS-G). The related materials of all patients were collected, and European Quality of Life 5-Dimensions(EQ-5D), and 36-item Short-form Health Survey(SF-36)were applied to evaluate patient's life quality. The data with difference was substituted into the linear regression equation to analyze influencing factors of the quality of life of patients with different MCIRS-G scores. Results No significant differences in sex, age, course of disease, education, smoking and drinking were found in different MCIRS-G scores group(P>0.05), but myocardial infarction, angina, EQ-5D score, SF-36 score, length of stay, medical expenses showed significant differences(P<0.05 or P<0.01). The myocardial infarction, angina, MCIRS-G scores, length of stay, and medical expenses in patients with different SF-36 scores and different EQ-5D scores showed significant differences(P<0.05 or P<0.01). The results after substituting the data with difference into the linear regression equation showed that myocardial infarction, angina, MCIRS-G scores, length of stay, and medical expenses were influencing factors of SF-36 scores and EQ-5D scores. Conclusion There are many factors affecting the - severity of comorbidities and quality of life in elderly patients with cardiovascular diseases, so attention should be focused on treatment and nursing programs to improve the prognosis of patients.
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