合并症和人口统计学因素对射血分数的影响

Cezara-Andreea Soysaler, C. Andrei, Octavian Ceban, C. Sinescu
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引用次数: 0

摘要

随着人口老龄化,心力衰竭(HF)成为一个日益严重的问题。心力衰竭的病因在决定治疗方案和治疗效果方面起着重要作用。值得注意的是,一些研究发现,在发病率和死亡率方面存在性别差异,这可能表明导致心力衰竭的原因不同。本研究旨在调查人口统计学和合并症等各种因素对射血分数(EF)的影响。本研究的目标包括实施预防措施、确保及时诊断以及针对风险因素和特定合并症实施干预。这些努力旨在改善心衰患者的预后。主要方法包括线性回归。所研究的人口统计学因素包括性别和教育程度,而所关注的合并症包括瓣膜病变、缺血、吸烟、肥胖、高胆固醇和糖尿病。主要结果显示,高学历与平均 12.8%的 EF 值相关,而在分析的负面因素中,缺血的危害最大,平均降低了 12.8%。影响较小的因素是吸烟、肥胖和高胆固醇。糖尿病似乎对 EF 没有影响。
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The Impact of Comorbidities and Demographic Factors on Ejection Fraction
Heart failure (HF) presents an increasingly significant problem as the population ages. The cause of HF plays a significant role in determining treatment options and outcomes. It is worth noting that several studies have identified gender disparities in both morbidity and mortality, which may suggest differing causes of HF. The purpose of this research is to investigate the influence of various factors, including demographics and comorbidities, on ejection fraction (EF). The objectives of this study involve implementing preventive measures, ensuring timely diagnosis, and implementing interventions that target risk factors and specific comorbidities. These efforts aim to improve the prognosis for individuals affected by heart failure. The main method consists of linear regression. The demographic factors under scrutiny are gender and education, while the comorbidities of interest encompass valvulopathy, ischemia, smoking, obesity, high cholesterol, and diabetes. The main results consist of the fact that high education is associated with a 12.8% better EF on average, while among the factors with a negative role analyzed, ischemia is the most harmful, being 12.8% lower on average. Factors with a smaller impact are smoking, obesity, and high cholesterol. Diabetes does not seem to affect EF.
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