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在阿布扎比,阿拉伯联合长国的疾病风险得分推导和验证:一项回顾性队列研究
Latifa Baynouna AlKetbi1, Nico Nagelkerke2, Noura AlAlawi1
1Ambulatory Healthcare Services Abu Dhabi United Arab Emirates.
Journal of the American Heart Association
|November 29, 2024
概括
阿布扎比风险研究开发了新的心血管疾病预测模型,其表现优于国际标准. 这些模型改善了对当地人口冠状动脉疾病,中风和动脉样性心血管疾病的风险评估.
科学领域:
- 心脏病学 心脏病学
- 流行病学 流行病学
- 公共卫生 公共卫生
背景情况:
- 心血管疾病 (CVD) 风险评估对于初级预防策略至关重要.
- 阿布扎比风险研究 (ADRS) 是一项回顾性队列研究,专注于心血管疾病风险预测.
- 该研究旨在开发和验证冠状动脉疾病 (CAD),中风和动脉样性心血管疾病 (ASCVD) 的10年风险预测方程.
研究的目的:
- 为阿布扎比人口量身定制的CAD,中风和ASCVD开发新的10年风险预测方程.
- 在同一群体内验证现有的国际风险预测方程.
- 确定导致心血管事件的局部风险因素.
主要方法:
- 从阿布扎比心血管查计划 (2011-2013) 中对8699名参与者的回顾性分析,平均随访时间为9.2年.
- 评估新的CAD事件,急性冠状动脉综合征入院或中风发生情况.
- 使用考克斯回归和与使用单独队列的国际方程验证三种ADRS预测模型的开发.
主要成果:
- ADRS-CAD,ADRS-中风和ADRS-ASCVD模型显示出高的预测准确性 (C统计数据范围从0.898到0.904).
- ADRS模型在预测研究群体内心血管事件方面表现优于弗雷明汉风险评分和聚合队列方程.
- 确定的主要危险因素包括年龄,性别,吸烟,胆固醇/HDL比率,糖尿病,低维生素D和低膜过率.
结论:
- 该研究强调了开发和使用特定于当地居民的风险评估工具的重要性.
- 将心血管风险预测调整为区域卫生背景,提高了初级预防的有效性.
- 在阿布扎比人口中,ADRS模型为预测心血管事件提供了更高的准确性.
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