将行为和心理因素纳入心血管疾病风险预测模型:系统审查协议
Chenchen Tang1, Nancy Choon-Si Ng1, Long Chiau Ming2,3
1Sir Jeffrey Cheah Sunway Medical School, Sunway University, Sunway City, Selangor, Malaysia.
本系统性审查检查了行为和心理因素如何改善心血管疾病 (CVD) 风险预测模型. 它评估它们对AUC等指标的影响,并确定关键变量以提高准确性.
科学领域:
- 心脏病学和公共卫生
- 行为科学和预测建模
背景情况:
- 心血管疾病 (CVD) 风险预测模型往往缺乏对行为和心理因素的全面纳入.
- 整合这些因素可以提高现有的风险评估工具的准确性和临床实用性.
研究的目的:
- 系统地审查将行为和心理因素纳入心血管疾病风险预测模型中的情况.
- 评估这些因素对模型性能的影响,使用曲线下的面积 (AUC) 和净重新分类指数 (NRI) 等指标.
- 确定特定的行为和心理变量,以持续改善心血管疾病风险预测.
主要方法:
- 在PubMed,Scopus,科学网和谷歌学者 (2019-2024) 的系统文献搜索.
- 包括对有心血管疾病风险的成年人群进行同行评审的研究,使用带有行为/心理变量的心血管疾病风险预测模型.
- 数据提取和质量评估由两个独立的审稿人;叙事综合和潜在的元分析.
主要成果:
- 审查将量化与行为和心理变量相关的性能改善 (AUC,NRI).
- 将确定关键的贡献变量及其在研究中的一致性.
- 将提供对增强心血管疾病风险预测最具影响力的因素的见解.
结论:
- 行为和心理因素在提高心血管疾病风险预测的准确性方面发挥着重要作用.
- 识别和纳入这些变量可以导致更精确的风险分层和个性化的患者管理.
- 这一审查将为开发更强大,更具临床相关性的心血管疾病风险预测模型提供信息.
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