Sukmark Theerapon, Lumlertgul Nuttha, Praditpornsilpa Kearkiat, Tungsanga Kriang, Eiam-Ong Somchai, Srisawat Nattachai
Thungsong Hospital, Nakhon Si Thammarat, Thailand.
Division of Nephrology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, and King Chulalongkorn Memorial Hospital, Bangkok, 10330, Thailand.
Ann Intensive Care. 2020 Apr 16;10(1):42. doi: 10.1186/s13613-020-00657-9.
Acute kidney injury (AKI) is a common problem in critically ill patients and associated with high rates of morbidity and mortality. Recently, Major Adverse Kidney Events (MAKE) were introduced as important kidney endpoints. If these endpoints can be predicted, then it may help the physicians to identify high-risk patients and provide the opportunity to have targeted preventive therapy. The objective of this study was to create a simplified scoring system to predict MAKE within 28 days among AKI patients in ICU.
This is a prospective web-based multicenter cohort study that was conducted in adults who were admitted to the ICU in 17 centers across Thailand from 2013 to 2015. A predicting score was derived from the regression equation with Receiver Operating Characteristic (ROC) analysis to evaluate the diagnostic test and produce predictive models. Internal validation was obtained using the bootstrapping method.
From 5071 cases, 2856 (56%) had AKI. Among those with AKI, 1749 (61%) had MAKE. Among those that have MAKE, there were 1175 (41.4%) deaths, 414 (14.4%) were on dialysis and 1154 (40.7%) had non-recovery renal function. The simplified score points of low Glasgow coma scale was 3, tachypnea was 1, vasopressor use was 1, on mechanical ventilation was 2, oliguria was 2, serum creatinine rising ≥ 3 times was 5, high blood urea nitrogen was 3, low hematocrit was 2, and thrombocytopenia was 1. The area under ROC curve for optimism corrected performance was 0.80 (0.78, 0.81). When the cut-off value was 7, the sensitivity, specificity, positive likelihood ratio, and positive predictive values were 0.75, 0.76, 3.10, and 0.84, respectively. When the scoring system was calibrated, the α intercept and β slope were 1.001 and 0, respectively.
SEA-MAKE scoring system is a new simplified clinical tool that can be used to predict major adverse kidney events in AKI patients. The simplicity of the scoring system is highly likely to be used in resource-limited settings. However, external validation is necessary before widespread use.
急性肾损伤(AKI)是危重症患者常见的问题,与高发病率和死亡率相关。最近,主要不良肾脏事件(MAKE)被引入作为重要的肾脏终点指标。如果能够预测这些终点指标,可能有助于医生识别高危患者,并提供进行针对性预防治疗的机会。本研究的目的是创建一个简化评分系统,以预测重症监护病房(ICU)中AKI患者28天内发生MAKE的情况。
这是一项基于网络的前瞻性多中心队列研究,研究对象为2013年至2015年期间泰国17个中心ICU收治的成人患者。通过回归方程和受试者工作特征(ROC)分析得出预测评分,以评估诊断测试并生成预测模型。采用自抽样法进行内部验证。
在5071例病例中,2856例(56%)发生AKI。在发生AKI的患者中,1749例(61%)发生MAKE。在发生MAKE的患者中,1175例(41.4%)死亡,414例(14.4%)接受透析,1154例(40.7%)肾功能未恢复。简化评分中,格拉斯哥昏迷量表评分低为3分,呼吸急促为1分,使用血管活性药物为1分,接受机械通气为2分,少尿为2分,血清肌酐升高≥3倍为5分,血尿素氮高为3分,血细胞比容低为2分,血小板减少为1分。校正乐观度后的ROC曲线下面积为0.80(0.78,0.81)。当截断值为7时,敏感性、特异性、阳性似然比和阳性预测值分别为0.75、0.76、3.10和0.84。在校准评分系统时,α截距和β斜率分别为1.001和0。
SEA-MAKE评分系统是一种新的简化临床工具,可用于预测AKI患者的主要不良肾脏事件。该评分系统的简单性使其很有可能在资源有限的环境中使用。然而,在广泛应用之前需要进行外部验证。