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Nephrol Dial Transplant. 2013 Jun;28(6):1447-54. doi: 10.1093/ndt/gfs533. Epub 2013 Jan 25.
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本文引用的文献

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Section 2: AKI Definition.第2节:急性肾损伤的定义。
Kidney Int Suppl (2011). 2012 Mar;2(1):19-36. doi: 10.1038/kisup.2011.32.
2
Lipid-related markers and cardiovascular disease prediction.脂质相关标志物与心血管疾病预测。
JAMA. 2012 Jun 20;307(23):2499-506. doi: 10.1001/jama.2012.6571.
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Acute kidney injury.急性肾损伤。
Lancet. 2012 Aug 25;380(9843):756-66. doi: 10.1016/S0140-6736(11)61454-2. Epub 2012 May 21.
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Comparison of risk prediction using the CKD-EPI equation and the MDRD study equation for estimated glomerular filtration rate.比较 CKD-EPI 方程和 MDRD 研究方程用于估计肾小球滤过率的风险预测。
JAMA. 2012 May 9;307(18):1941-51. doi: 10.1001/jama.2012.3954.
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Acute kidney injury and mortality in hospitalized patients.住院患者的急性肾损伤与死亡率。
Am J Nephrol. 2012;35(4):349-55. doi: 10.1159/000337487. Epub 2012 Apr 2.
6
Framework for evaluating novel risk markers.评估新型风险标志物的框架。
Ann Intern Med. 2012 Mar 20;156(6):468-9. doi: 10.7326/0003-4819-156-6-201203200-00013.
7
Evaluation of newer risk markers for coronary heart disease risk classification: a cohort study.评估用于冠心病风险分类的新型风险标志物:一项队列研究。
Ann Intern Med. 2012 Mar 20;156(6):438-44. doi: 10.7326/0003-4819-156-6-201203200-00006.
8
Short-term outcomes of acute myocardial infarction in patients with acute kidney injury: a report from the national cardiovascular data registry.急性肾损伤患者急性心肌梗死的短期转归:来自国家心血管数据登记处的报告。
Circulation. 2012 Jan 24;125(3):497-504. doi: 10.1161/CIRCULATIONAHA.111.039909. Epub 2011 Dec 16.
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Cellular pathophysiology of ischemic acute kidney injury.缺血性急性肾损伤的细胞病理生理学。
J Clin Invest. 2011 Nov;121(11):4210-21. doi: 10.1172/JCI45161. Epub 2011 Nov 1.
10
AKI in the ICU: definition, epidemiology, risk stratification, and outcomes.重症监护病房中的急性肾损伤:定义、流行病学、风险分层和结局。
Kidney Int. 2012 May;81(9):819-25. doi: 10.1038/ki.2011.339. Epub 2011 Oct 5.

比较绝对血清肌酐变化与肾脏病:改善全球结局共识定义,以描述急性肾损伤的分期。

Comparison of absolute serum creatinine changes versus Kidney Disease: Improving Global Outcomes consensus definitions for characterizing stages of acute kidney injury.

机构信息

Department of Emergency Medicine, University of Alabama School of Medicine, Birmingham, AL, USA.

出版信息

Nephrol Dial Transplant. 2013 Jun;28(6):1447-54. doi: 10.1093/ndt/gfs533. Epub 2013 Jan 25.

DOI:10.1093/ndt/gfs533
PMID:23355628
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3685303/
Abstract

BACKGROUND

The Kidney Disease: Improving Global Outcomes (KDIGO) system for classification of acute kidney injury (AKI) severity utilizes a staging schema based on relative changes in serum creatinine (sCr) concentration and urine output. This study compares the in-hospital mortality associated with KDIGO-defined AKI stages and AKI stages defined by absolute sCr increases ('Delta-Creatinine').

METHODS

The study included an analysis of hospital discharge and laboratory data from an urban academic medical center over a 1-year period. Including adult in-patients undergoing two or more sCr measurements, the study classified AKI stages using the KDIGO consensus standards as well as absolute increases in sCr ('Delta-Creatinine'); Stage 0, sCr increase <0.3 mg/dL, Stage 1, sCr increase 0.3-0.69 mg/dL, Stage 2, sCr increase 0.7-1.19 mg/dL and Stage 3, sCr increase ≥1.2 mg/dL or initiation of renal replacement therapy. The Delta-Creatinine cut-points were defined to optimize discrimination of in-patient mortality between AKI stages. The associations between KDIGO and Delta-Creatinine AKI stages and in-hospital mortality were compared using the time-dependent hazard ratios (HRs) and the net reclassification improvement (NRI).

RESULTS

Of the 19 878 hospitalizations included in the analysis, the prevalence of AKI was 23.4% as defined by the KDIGO criteria. The Delta-Creatinine system discriminated the differences between adjacent AKI stages (i.e. 1 versus 0, 2 versus 1, 3 versus 3) earlier than the KDIGO system. The NRI between Delta-Creatinine and KDIGO for the prediction of mortality was 9.7% [95% confidence interval (CI) 6.2-13.2%]. Stratification by age, sex, race and history of chronic kidney disease (CKD) resulted in similar NRI values.

CONCLUSION

The Delta-Creatinine system, based on the absolute increases in sCr, provides a promising alternative to the KDIGO system for characterizing the severity of AKI and its associations with in-patient mortality.

摘要

背景

肾脏病:改善全球预后(KDIGO)急性肾损伤(AKI)严重程度分类系统利用基于血清肌酐(sCr)浓度和尿量相对变化的分期方案。本研究比较了 KDIGO 定义的 AKI 分期和基于绝对 sCr 升高的 AKI 分期(“Delta-Creatinine”)与住院死亡率的关系。

方法

本研究分析了 1 年内城市学术医疗中心的住院和实验室数据。包括接受两次或更多次 sCr 测量的成年住院患者,本研究使用 KDIGO 共识标准以及绝对 sCr 升高(“Delta-Creatinine”)来对 AKI 分期进行分类;分期 0,sCr 升高<0.3mg/dL;分期 1,sCr 升高 0.3-0.69mg/dL;分期 2,sCr 升高 0.7-1.19mg/dL;分期 3,sCr 升高≥1.2mg/dL 或开始肾脏替代治疗。Delta-Creatinine 切点定义为优化 AKI 分期与住院死亡率之间的区分度。使用时间依赖性风险比(HR)和净重新分类改善(NRI)比较 KDIGO 和 Delta-Creatinine AKI 分期与住院死亡率之间的关系。

结果

在纳入分析的 19878 例住院患者中,KDIGO 标准定义的 AKI 患病率为 23.4%。Delta-Creatinine 系统比 KDIGO 系统更早地区分了相邻 AKI 分期之间的差异(即 1 期与 0 期、2 期与 1 期、3 期与 3 期)。Delta-Creatinine 与 KDIGO 对死亡率预测的 NRI 为 9.7%(95%CI 6.2-13.2%)。按年龄、性别、种族和慢性肾脏病(CKD)史进行分层,NRI 值相似。

结论

基于 sCr 绝对升高的 Delta-Creatinine 系统为描述 AKI 的严重程度及其与住院死亡率的关系提供了一种有前途的替代 KDIGO 系统的方法。