使用数据挖掘方法评估高血压患者的复杂代谢状态
Beáta Kovács1, Ákos Németh1, Bálint Daróczy2,3
1Division of Metabolic Diseases, Department of Internal Medicine, Faculty of Medicine, University of Debrecen, H-4032 Debrecen, Hungary.
Journal of cardiovascular development and disease
|August 25, 2023
概括
高血压影响中欧和东欧32.2%的成年人,并与其相关的代谢问题,如高BMI,甘油三,葡萄糖和尿酸. 早期检测和治疗对于更好的结果至关重要.
科学领域:
- 心脏病学 心脏病学
- 代谢健康 代谢健康
- 公共卫生 公共卫生
背景情况:
- 心血管疾病 (CVD) 是全球主要的死亡原因.
- 高血压是主要心血管事件的重要,但可以预防的风险因素.
- 关于中东欧高血压患者代谢状况的综合研究存在差距.
研究的目的:
- 确定中欧和东欧地区高血压的患病率.
- 在高血压患者中识别相关的代谢异常.
- 用数据挖掘方法进行区域分析.
主要方法:
- 来自德布雷森大学临床中心的成年患者数据 (n = 937,249) 的分析.
- 包括20年的数据期 (2001-2021年).
- 应用数据挖掘技术来评估高血压和代谢参数.
主要成果:
- 在研究人群中计算出高血压患病率为32.2%.
- 高血压患者的体重指数 (BMI),甘油三,血清葡萄糖和尿酸水平较高.
- 在18-80岁的高血压成年人中观察到较低的HDL-C水平.
结论:
- 这项研究证实高血压的患病率与国际数据一致.
- 确定了高血压和各种代谢变化之间的显著关联.
- 强调早期识别和治疗心脏代谢异常的重要性,以提高患者的生活质量和寿命.
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