识别和排名新的独立特征,以预测2型糖尿病患者心血管疾病的预测
K Dziopa1,2,3, N Chaturvedi4, F W Asselbergs1,3,5
1Institute of Health Informatics, University College London, London, United Kingdom.
medRxiv : the preprint server for health sciences
|November 14, 2023
概括
确定了2型糖尿病 (T2DM) 患者心血管疾病 (CVD) 的新型预测因素. 非经典风险因素,如精神健康和病标志物显著改善了糖尿病患者的心血管疾病风险预测.
科学领域:
- 心血管疾病流行病学
- 糖尿病研究研究 糖尿病研究
- 生物标志物发现发现
背景情况:
- 心血管疾病 (CVD) 预测模型在糖尿病患者中显示出有限的疗效.
- 在2型糖尿病 (T2DM) 患者中,急需改善心血管疾病风险分层.
结论:
- 数据驱动的选择揭示了T2DM心血管风险预测的众多特征.
- 非经典风险因素,包括心理健康和病标志物,对于准确评估糖尿病中心血管疾病风险至关重要.
- 纳入这些新的特征显著提高了T2DM患者心血管疾病和心力衰竭的风险分类.
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