老年人心血管疾病风险预测模型的预测性能:一个验证和更新研究
Shiva Ganjali1, Mojtaba Lotfaliany2, Andrew Tonkin3
1IMPACT-The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Faculty of Health, Deakin University, Geelong, Victoria, Australia s.ganjali@deakin.edu.au.
Heart (British Cardiac Society)
|May 14, 2025
概括
更新心血管疾病 (CVD) 风险模型可以提高老年人预测的准确性. 这些增强模型为老年人群提供了更好的风险评估,有助于预防性护理策略.
科学领域:
- 老年学是指老年学的学科.
- 心脏病学 心脏病学
- 流行病学 流行病学
背景情况:
- 现有的心血管疾病 (CVD) 风险预测模型对于老年人来说是不够的.
- 这项研究评估了澳大利亚和美国社区居住的老年人中既有模型和特定年龄的模型.
研究的目的:
- 验证,更新和评估老年人心血管疾病风险预测模型的临床实用性.
- 将现有模型的性能与针对老年人群的更新版本进行比较.
主要方法:
- 利用ASPREE临床试验及其随访的数据,包括15,618名没有先前心血管疾病,痴呆症或残疾的参与者.
- 使用歧视 (C统计),校准和临床实用性 (决策曲线) 评估模型性能.
- 通过调整系数更新模型并探索添加血清肌素,抑郁症和社会经济地位的影响.
主要成果:
- 更新后的模型显示,男性 (C-统计 0.62-0.64) 和女性 (0.68-0.69) 的歧视情况均有所改善.
- 更新后的模型显示了良好的校准,在各种风险值下增加了净收益.
- 结合额外的预测因素,如血清肌素,抑郁症和IRSAD,并没有提高更新模型的歧视性.
结论:
- 更新心血管疾病风险预测模型提高了对70岁以上相对健康的高加索老年人的准确性.
- 在临床广泛采用之前,需要在多样化,潜在脆弱或多病症老年人群中进行进一步的验证.
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