JAMA:评估尿钠排泄和心血管事件关系的研究

2011-11-24 MedSci原创 MedSci原创

据11月23/30日刊《美国医学会杂志》(JAMA)上的一则研究披露,对那些罹患心血管疾病或糖尿病的人来说,尿钠排泄水平较高或较低的人与那些尿钠排泄处于中间范围值的人相比,他们发生心血管事件的风险会增加(对尿钠排泄水平较高者来说)或心血管性死亡及因为充血性心衰而住院的风险会增加(对那些尿钠排泄水平较低者来说)。另外,较高的估算尿钾排泄量与中风风险的降低有关。 有关钠的每日最佳摄取量存在着不确

据11月23/30日刊《美国医学会杂志》(JAMA)上的一则研究披露,对那些罹患心血管疾病或糖尿病的人来说,尿钠排泄水平较高或较低的人与那些尿钠排泄处于中间范围值的人相比,他们发生心血管事件的风险会增加(对尿钠排泄水平较高者来说)或心血管性死亡及因为充血性心衰而住院的风险会增加(对那些尿钠排泄水平较低者来说)。另外,较高的估算尿钾排泄量与中风风险的降低有关。

有关钠的每日最佳摄取量存在着不确定性。来自评估钠摄取量与心血管(CV)事件之间关系的前瞻性群组研究的各种发现存在着矛盾性。文章的作者补充说,作为在钠摄取量与CV疾病之间关系的一个建议的调节因素的钾,其每日摄取量的最佳水平还没有得到建立。

加拿大安大略省汉密尔顿麦克马斯特大学的Martin J. O'Donnell, M.B., Ph.D.及其同事对钠和钾的排泄(摄入的标记物)与CV事件和死亡率之间的关系进行了检查。这项研究是由包括在ONTARGET 和 TRANSCEND试验(从最初的招募至最终的随访为2001年11月至2008年3月)中的2个群组的人(n=28,880)的一个观察分析所组成的。研究人员用早晨空腹尿样本来估计24小时尿钠和钾的排泄量。研究人员用多变量模型来决定尿钠和钾与CV事件 [MI心肌梗塞]、中风和因充血性心衰(CHF)而住院和死亡率之间的关系。

在研究开始的时候,平均估算的24小时尿钠排泄量为4.77克,尿钾排泄量为2.19克。在经过中位数(中点)为56个月的随访之后,有4729名试验参与者(16.4%)出现了复合性结果。研究人员发现,在经过多变量分析之后,与每日4-5.99克的基线钠排泄量相比(n = 14,156 [15.2% 有复合型结果]),较高和较低的基线钠排泄量与复合性CV死亡、心肌梗塞、中风及因CHF住院风险的增加(每日2-2.99克者为18.2%,低于每日2克者为20.2%)有关。

与参照组相比,较高的基线钠排泄量与CV死亡风险(每日7-8克者为9.7%,每日大于8克者为11.2%)、MI(每日大于8克者为6.8%)、中风(每日大于8克者为6.6%)和因CHF住院(每日大于8克者为6.6%)的风险增加有关。在多变量的分析中,较低的钠排泄量与CV死亡风险的增加(每日 2-2.99克者为8.6%)和因CHF而住院的风险的增加(每日202.99克者为5.2%)有关。在多变量的分析中,与估算的钾排泄量低于每日1.5 克者相比,较高的钾排泄量与中风风险的降低有关。

“与适度的钠排泄量相比,我们发现高钠排泄与CV事件之间及低钠排泄与CV死亡和因CHF而住院之间有关;这强调了人们有迫切的需要在随机对照的试验中建立一个钠摄取量的安全范围。较高的尿钾排泄与较低的中风风险有关,它是一个值得进一步评估的预防中风的干预手段。”(生物谷Bioon.com)

Urinary Sodium and Potassium Excretion and Risk of Cardiovascular Events

Martin J. O'Donnell, MB, PhD; Salim Yusuf, DPhil, FRCPC, FRSC; Andrew Mente, PhD; Peggy Gao, MSc; Johannes F. Mann, MD; Koon Teo, MB, PhD; Matthew McQueen, MD; Peter Sleight, MD; Arya M. Sharma, MD; Antonio Dans, MD; Jeffrey Probstfield, MD; Roland E. Schmieder, MD

The precise relationship between sodium and potassium intake and cardiovascular (CV) risk remains uncertain, especially in patients with CV disease. To determine the association between estimated urinary sodium and potassium excretion (surrogates for intake) and CV events in patients with established CV disease or diabetes mellitus. Observational analyses of 2 cohorts (N = 28 880) included in the ONTARGET and TRANSCEND trials (November 2001-March 2008 from initial recruitment to final follow-up). We estimated 24-hour urinary sodium and potassium excretion from a morning fasting urine sample (Kawasaki formula). We used restricted cubic spline plots to describe the association between sodium and potassium excretion and CV events and mortality, and to identify reference categories for sodium and potassium excretion. We used Cox proportional hazards multivariable models to determine the association of urinary sodium and potassium with CV events and mortality.

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