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通过估算肾小球滤过率(eGFR)的变化预测医院死亡率。

Prediction of hospital mortality by changes in the estimated glomerular filtration rate (eGFR).

作者信息

Berzan E, Mellotte G, Silke B

出版信息

Ir Med J. 2015 Mar;108(3):87-9.

Abstract

Deterioration of physiological or laboratory variables may provide important prognostic information. We have studied whether a change in estimated glomerular filtration rate (eGFR) value calculated using the (Modification of Diet in Renal Disease (MDRD) formula) over the hospital admission, would have predictive value. An analysis was performed on all emergency medical hospital episodes (N = 61964) admitted between 1 January 2002 and 31 December 2011. A stepwise logistic regression model examined the relationship between mortality and change in renal function from admission to discharge. The fully adjusted Odds Ratios (OR) for 5 classes of GFR deterioration showed a stepwise increased risk of 30-day death with OR's of 1.42 (95% CI: 1.20, 1.68), 1.59 (1.27, 1.99), 2.71 (2.24, 3.27), 5.56 (4.54, 6.81) and 11.9 (9.0, 15.6) respectively. The change in eGFR during a clinical episode, following an emergency medical admission, powerfully predicts the outcome.

摘要

生理或实验室指标的恶化可能提供重要的预后信息。我们研究了使用肾脏疾病饮食改良(MDRD)公式计算的估计肾小球滤过率(eGFR)值在住院期间的变化是否具有预测价值。对2002年1月1日至2011年12月31日期间收治的所有急诊医院病例(N = 61964)进行了分析。采用逐步逻辑回归模型研究了从入院到出院肾功能变化与死亡率之间的关系。GFR恶化5类的完全调整优势比(OR)显示30天死亡风险逐步增加,OR分别为1.42(95%CI:1.20,1.68)、1.59(1.27,1.99)、2.71(2.24,3.27)、5.56(4.54,6.81)和11.9(9.0,15.6)。急诊入院后临床病程中eGFR的变化有力地预测了预后。

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