调查职业、射血分数和共病因素对心衰患者生活质量的影响:印度尼西亚的一项横断面研究

Cut Husna, Halfiah Halfiah, M. Marlina
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摘要

背景:心脏病引起功能障碍,可使患者感到疲劳和呼吸困难,导致生活质量下降。影响心衰患者生活质量的因素包括职业和射血分数。2021年,在亚齐政府医院接受治疗的心力衰竭患者人数仍然很高,反复住院的发生率也很高。目的:本研究旨在确定职业、射血分数与心力衰竭患者生活质量之间的关系。方法:采用横断面设计的定量研究方法。样本为154名在印度尼西亚班达亚齐省医院心脏综合门诊就诊的心力衰竭患者。从受访者的社会人口学和临床特征中获得患者职业、射血分数和合并症因素的数据。然后,通过明尼苏达州心力衰竭患者生活问卷(MLHF)测量患者的生活质量。本研究资料分析采用卡方检验和logistic回归(显著性水平α = 0.05)。结果:研究结果发现患者职业(P = 0.001)、射血分数(P = 0.001)与生活质量呈显著正相关,合并症因素(P = 0.001)与生活质量呈显著负相关(α = 0.05)。多因素logistic回归分析发现,与心力衰竭患者生活质量相关的主要因素是射血分数,OR为12.033,其次是合并症因素(OR为3.565)和职业(OR为1.819)。结论:心力衰竭患者的生活质量与心力衰竭患者的射血分数密切相关;因此,维持射血分数是提高生活质量的必要条件。
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Investigating Occupation, Ejection Fraction, and Comorbidity Factors with Quality of Life in Heart Failure Patients: A Cross-Sectional Study in Indonesia
Background: Heart disease causes functional disorders that can cause the sufferer to experience fatigue and dyspnea, leading to low quality of life. Various factors related to the quality of life of heart failure patients include occupation and ejection fraction. The number of heart failure patients treated at Aceh government hospital is still high in 2021, as well as the incidence of recurrent hospitalization. Objectives: This study aimed to determine the relationship between occupation, ejection fraction, and heart failure patients' quality of life. Methods: The study used a quantitative research approach with a cross-sectional design. The sample was 154 heart failure patients who visited the Cardiac Polyclinic of a provincial hospital in Banda Aceh, Indonesia. Data on patient occupation, ejection fraction, and comorbidity factors were obtained from the sociodemographic and clinical characteristics of the respondents. Then, the patient’s quality of life was measured by the Minnesota Living with Heart Failure (MLHF) questionnaire. The chi-square test and logistic regression (with a significance level α = 0.05) were used in data analysis in this study. Results: The results of the study found a significant direct correlation between patient occupation (P = 0.001), ejection fraction (P = 0,001), and an inverse correlation of comorbidity factors (P = 0.001) with quality of life (α = 0.05). The multivariate analysis using logistic regression found that the dominant factor, ejection fraction, was associated with the quality of life of heart failure patients with OR: 12.033, followed by comorbidity factors (OR: 3.565) and occupation (OR: 1.819). Conclusions: The quality of life of heart failure patients is strongly associated with the ejection fraction in heart failure patients; therefore, maintaining the ejection fraction is needed to improve the quality of life.
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