老年心血管疾病患者共病状态严重程度与生活质量的影响因素分析

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

  • 摘要: 目的 探讨影响老年心血管疾病患者共病状态严重程度与生活质量的影响因素。 方法 选择167例老年心血管疾病患者作为研究对象,按改良老年疾病累计评分表(MCIRS-G)结果进行分组,其中<20分组65例, 20~50分组58例, >50分组44例。收集并整理所有患者的相关资料,选择欧洲五维健康量表(EQ-5D)、中文版36条简明健康状况调查表(SF-36)对其生活质量进行评价,将有差异的资料代入线性回归方程计算,分析影响不同MCIRS-G得分患者生活质量的因素。 结果 不同MCIRS-G得分组患者在性别、年龄、病程、文化程度、吸烟、饮酒方面比较无显著差异(P>0.05), 但在心肌梗死、心绞痛、EQ-5D得分、SF-36得分、住院时间、医疗费用方面比较有显著差异(P<0.05或P<0.01)。不同SF-36得分患者、不同EQ-5D得分患者在心肌梗死、心绞痛、MCIRS-G得分、住院时间、医疗费用方面比较,差异均有统计学意义(P<0.05或P<0.01)。将上述有显著差异的资料代入线性回归方程计算,发现心肌梗死、心绞痛、MCIRS-G得分、住院时间、医疗费用均是影响SF-36得分、EQ-5D得分的因素。 结论 影响老年心血管疾病患者共病状态严重程度与生活质量的因素较多,临床应重点关注并提供完善的治疗与护理方案,以改善患者预后。

     

    Abstract: 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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