功能轨迹与心血管疾病风险之间的关联:前性队列研究
Xuehong Xu1, Rulin Ma1, Xianghui Zhang1
1Department of Public Health, Shihezi University School of Medicine, Shihezi, China.
Annals of medicine
|December 2, 2024
概括
监测功能轨迹对于预测心血管疾病 (CVD) 风险至关重要. 估计淋巴球过率 (eGFR) 的下降会增加心血管疾病风险,而增加eGFR会降低风险.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學專業.
- 心脏病学 心脏病学
- 流行病学 流行病学
背景情况:
- 心血管疾病 (CVD) 仍然是全球主要的死亡原因.
- 改变心血管疾病风险的功能轨迹的预测价值尚未得到充分理解.
- 估计的膜过率 (eGFR) 是功能的一个关键指标.
研究的目的:
- 为了识别eGFR随时间变化的独特模式.
- 研究这些eGFR轨迹与患心血管疾病的风险之间的关联.
- 评估eGFR轨迹监测在心血管疾病风险预测中的有用性.
主要方法:
- 分析了来自新疆生产和建设军的4742名参与者的队列.
- 使用线性混合效应模型建模了eGFR轨迹,确定了四种不同的模式.
- 使用多变量Cox比例危险模型来评估eGFR轨迹和心血管疾病事件之间的关系.
主要成果:
- 在平均5.7年的随访期间,发生了559起心血管疾病事件.
- 逐渐下降的eGFR与心血管疾病,心肌梗塞 (MI) 和缺血性中风 (IS) 的风险增加有显著关联.
- 逐渐增加的eGFR与心血管疾病和心肌梗塞的风险降低有关.
结论:
- 降低和增加的eGFR轨迹都与研究人口中的心血管疾病风险有显著关系.
- 监测eGFR变化轨迹为改善心血管疾病风险评估提供了宝贵的见解.
- 这些发现强调了功能动态在心血管健康中的重要性.
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