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Published on: June 30, 2018
基于囊素C和肌素的估计球膜过率,糖尿病状况和发生的外周动脉疾病之间的差异:基于人口的队列研究
Daijun He1, Chenglong Li2, Chao Yang3
1Department of Nephrology, Peking University First Hospital, State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing, China; Institute of Nephrology, Key Laboratory of Renal Disease, Ministry of Health of China, and Key Laboratory of Chronic Kidney Disease Prevention and Treatment (Peking University), Ministry of Education, Beijing, China; Research Units of Diagnosis and Treatment of Immune-mediated Kidney Diseases, Chinese Academy of Medical Sciences, Beijing, China.
囊素C与基于肌素的估计球过率 (eGFRdiff) 之间的差异与外周动脉疾病 (PAD) 风险有关. 这种关联不论糖尿病状况如何都适用,并改善了PAD预测模型.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學專業.
- 心血管医学 心血管医学
- 生物标志物 生物标志物
背景情况:
- 估计的淋巴细胞过率差异 (eGFRdiff) 可能表明除了功能之外的血管风险.
- 研究与外周动脉疾病 (PAD) 相关的eGFRdiff对于了解血管健康至关重要.
- 糖尿病在修改eGFRdiff-PAD关联中的作用需要进行前性评估.
研究的目的:
- 预期评估eGFRdiff与发生的外周动脉疾病 (PAD) 之间的关联.
- 为了确定糖尿病是否会改变eGFRdiff和PAD之间的关系.
- 为了评估eGFRdiff对PAD风险的预测值.
主要方法:
- 一项前性队列研究,对466,245名英国生物库参与者 (2006-2010) 进行了基线血清肌素和囊素C测量.
- 计算为绝对差异 (eGFRabdiff) 和比率 (eGFRrediff) 的eGFRdiff.
- 考克斯比例危险回归模型用于分析与PAD事件的关联,糖尿病是潜在的修饰因素.
主要成果:
- 超过13.8年的中位数随访,发生了7210起PAD病例.
- 增加的eGFRabdiff (每 SD) 与33%的PAD风险降低有关;增加的eGFRrediff (每 10%) 与0.78的PAD危险比率有关.
- 无论糖尿病状况如何,都观察到一致的关联;eGFRdiff改善了PAD预测模型.
结论:
- eGFRdiff是发生PAD的重要预测因素,独立于功能.
- 糖尿病不会改变eGFRdiff和PAD风险之间的关联.
- 将eGFRdiff纳入风险模型可以提高PAD的预测.
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