Ulusoy Sukru, Arı Derya, Ozkan Gulsum, Cansız Muammer, Kaynar Kubra
Department of Nephrology, Karadeniz Technical University, Trabzon, Turkey.
Department of Internal Medicine, School of Medicine, Karadeniz Technical University, Trabzon, Turkey.
Artif Organs. 2015 Jul;39(7):597-606. doi: 10.1111/aor.12449. Epub 2015 Apr 10.
Acute kidney injury (AKI) is a major cause of mortality and morbidity in hospitalized patients. Incidence and mortality rates vary from country to country, and according to different in-hospital monitoring units and definitions of AKI. The aim of this study was to determine factors affecting frequency of AKI and mortality in our hospital. We retrospectively evaluated data for 1550 patients diagnosed with AKI and 788 patients meeting the Kidney Disease: Improving Global Outcomes (KDIGO) guideline AKI criteria out of a total of 174 852 patients hospitalized in our institution between January 1, 2007 and December 31, 2012. Staging was performed based on KDIGO Clinical Practice for Acute Kidney Injury and RIFLE (Risk, Injury, Failure, Loss of kidney function and End-stage renal failure). Demographic and biochemical data were recorded and correlations with mortality were assessed. The frequency of AKI in our hospital was 0.9%, with an in-hospital mortality rate of 34.6%. At multivariate analysis, diastolic blood pressure (OR 0.89, 95% CI 0.87-0.92; P < 0.001), monitoring in the intensive care unit (OR 0.18, 95% CI 0.09-0.38; P < 0.001), urine output (OR 4.00, 95% CI 2.03-7.89; P < 0.001), duration of oliguria (OR 1.51, 95% CI 1.34-1.69; P < 0.001), length of hospitalization (OR 0.83, 95% CI 0.79-0.88; P < 0.001), dialysis requirement (OR 2.30, 95% CI 1.12-4.71; P < 0.05), APACHE II score (OR 1.16, 95% CI 1.09-1.24; P < 0.001), and albumin level (OR 0.32, 95% CI 0.21-0.50; P < 0.001) were identified as independent determinants affecting mortality. Frequency of AKI and associated mortality rates in our regional reference hospital were compatible with those in the literature. This study shows that KDIGO criteria are more sensitive in determining AKI. Mortality was not correlated with staging based on RIFLE or KDIGO. Nonetheless, our identification of urine output as one of the independent determinants of mortality suggests that this parameter should be used in assessing the correlation between staging and mortality.
急性肾损伤(AKI)是住院患者死亡和发病的主要原因。其发病率和死亡率因国家不同,以及医院内不同的监测单位和AKI定义而有所差异。本研究的目的是确定影响我院AKI发生频率和死亡率的因素。我们回顾性评估了2007年1月1日至2012年12月31日期间在我院住院的174852例患者中,1550例诊断为AKI的患者以及788例符合肾脏病:改善全球预后(KDIGO)指南AKI标准患者的数据。根据KDIGO急性肾损伤临床实践和RIFLE(风险、损伤、衰竭、肾功能丧失和终末期肾衰竭)进行分期。记录人口统计学和生化数据,并评估其与死亡率的相关性。我院AKI的发生率为0.9%,住院死亡率为34.6%。多因素分析显示,舒张压(OR 0.89,95%CI 0.87 - 0.92;P<0.001)、在重症监护病房监测(OR 0.18,95%CI 0.09 - 0.38;P<0.001)、尿量(OR 4.00,95%CI 2.03 - 7.89;P<0.001)、少尿持续时间(OR 1.51,95%CI 1.34 - 1.69;P<0.001)、住院时间(OR 0.83,95%CI 0.79 - 0.88;P<0.001)、透析需求(OR 2.30,95%CI 1.12 - 4.71;P<0.05)、急性生理与慢性健康状况评分系统II(APACHE II)评分(OR 1.16,95%CI 1.09 - 1.24;P<0.001)和白蛋白水平(OR 0.32,95%CI 0.21 - 0.50;P<0.001)被确定为影响死亡率的独立决定因素。我院区域参考医院的AKI发生率和相关死亡率与文献报道相符。本研究表明,KDIGO标准在确定AKI方面更敏感。死亡率与基于RIFLE或KDIGO的分期无关。尽管如此,我们将尿量确定为死亡率的独立决定因素之一,这表明该参数应用于评估分期与死亡率之间的相关性。