在1型糖尿病中预测第一个心血管疾病事件:Steno1型风险引擎
在PubMed上查看摘要
概括
此摘要是机器生成的。这项研究为1型糖尿病患者开发了一种新的心血管疾病 (CVD) 风险预测模型. 该模型准确地识别高风险个体,使得更好的临床管理成为可能.
科学领域
- 心脏病学
- 内分泌学
- 糖尿病学
背景情况
- 患有1型糖尿病的患者面临心血管疾病 (CVD) 的风险增加.
- 目前的临床实践缺乏针对1型糖尿病的常规心血管疾病风险评估工具.
研究的目的
- 开发和验证1型糖尿病成年人心血管疾病 (CVD) 风险预测模型.
- 促进对该群体进行临床心脏病风险评估.
主要方法
- 使用随机森林,生存树分析和Poisson回归的两阶段方法.
- 该模型使用了4306名患者的数据,并对219名患者进行了外部验证.
- 临床和生活方式因素与国家注册数据进行了追踪.
主要成果
- 开发了一种预测心血管疾病风险模型,包括年龄,性别,糖尿病持续时间,血压,胆固醇,HbA1c,白血病,GFR,吸烟和运动.
- 该模型对5年内发生的心血管疾病事件进行了优异的区分 (C统计值为0. 826,验证为0. 803).
- 在导出和验证队列中观察到良好的校准.
结论
- 一种高性能心血管疾病 (CVD) 风险模型已经开发出来.
- 该模型适用于临床实施,允许对患者护理进行知情决策.
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