美国克利夫兰大学急性肾衰竭风险评分系统在我国成人心脏手术患者中的应用

目的探讨美国克利夫兰大学急性肾衰竭风险评分系统(the Clinical Score to Predict Acute Renal Failure,简称Cleveland评分系统)预测中国心脏手术患者术后发生急性肾衰竭(ARF)行肾脏替代治疗(RRT)及患者院内死亡的应用价值。方法将2005年1月至2009年12月期间上海交通大学医学院附属仁济医院收治的所有成人心脏手术患者2 153例纳入研究,其中男1 267例,女886例;年龄58.70(18～99)岁。术前按Cleveland评分分值将所有患者分层:0～2分(n=979),3～5分(n=1 116),6～8分(n=54),9～13分(n=4),比较各组间术后发生ARF行RRT的发生率、多器官功能衰竭(MOSF)的发生率及病死率。应用受试者工作特征(ROC)曲线评价该评分预测术后发生ARF行RRT、患者院内死亡的准确性。结果 0～2分、3～5分、6～8分、9～13分组术后发生ARF行RRT的发生率分别为0.92%、1.88%、12.96%和25.00%(χ2=55.635,P=0.000),MOSF发生率分别为1.23%、1.88%、3.70%和25.00%(χ2=16.080,P=0.001),病死率分别为0.92%、4.21%、25.93%和50.00%(χ2=71.470,P=0.000),4组差异均有统计学意义。Cleveland评分预测术后行RRT的ROC曲线下面积(AUC)为0.775[95%CI(0.713,0.837),P=0.000],预测院内死亡AUC为0.764[95%CI(0.711,0.817),P=0.000]。结论 Cleveland评分系统可有效预测中国成人心脏手术后发生ARF需RRT治疗的风险,为及早对高危人群采取有效的预防措施提供依据。     

美国克利夫兰大学急性肾功能衰竭评分系统在中国人心脏手术围术期的应用

目的探讨美国克利夫兰大学医学中心急性肾功能衰竭评分系统(The Clinical Score to Predict Acute Renal Failure)预测中国人心脏手术后急性肾功能衰竭(ARF)发生的应用价值。方法将2008年8月至2009年7月期间南京医科大学附属南京第一医院收治的所有成年心脏手术患者456例纳入研究,其中男230例,女226例;年龄18~88岁,平均年龄56.7岁。术前应用克利夫兰大学的急性肾功能衰竭评分系统进行评分,按照评分结果1~5分、6~10分、≥11分将456例患者分为Ⅰ组(n=401)、Ⅱ组(n=42)、Ⅲ组(n=13),比较3组患者急性肾损伤(AKI)发生率、在院期间进行连续性肾脏替代治疗(CRRT)发生率、多器官功能衰竭(MOSF)发生率和病死率等临床指标。结果术后Ⅰ组、Ⅱ组、Ⅲ组患者急性肾损伤的发生率分别为2.74%、28.57%和76.92%(χ2=73.004,P=0.000),连续性肾脏替代治疗发生率分别为0.50%9、.52%和38.46%(χ2=36.939,P=0.000),多器官功能衰竭发生率分别为0.50%、4.76%和23.08%(2χ=19.694,P=0.000),病死率分别为0.25%、2.38%和15.38%(2χ=14.061,P=0.001),3组间比较差异均有统计学意义。结论应用克利夫兰大学医学中心急性肾功能衰竭评分系统可以在心脏手术前有效预测中国人心脏手术后急性肾功能衰竭的发生情况,以便对高危患者采取必要的预防措施。     

肝移植术后早期急性肾功能衰竭5例临床分析

目的总结肝移植术后早期急性肾功能衰竭的防治经验。方法回顾性分析5例肝移植受者术后早期发生急性肾功能衰竭临床资料,手术方式为改良背驮式肝移植术,其中4例术前即合并肾功能不全。结果5例术后早期急性肾功能衰竭患者3例通过调整免疫抑制方案和改善肾脏灌注及利尿治疗肾功能恢复;2例给予连续性肾脏替代治疗后肾功能恢复。结论肝移植术后免疫抑制剂的个体化应用,积极改善肾脏灌注,必要时选择血液透析治疗,有助于防治肝移植术后早期急性肾功能衰竭。     

重度颅脑损伤病人颅内血肿清除术后急性肾功能不全的危险因素分析

目的分析重度颅脑损伤病人在血肿清除术后发生急性肾功能不全的危险因素。方法 2010年8月～2018年8月我院收治的重度颅脑损伤并行颅内血肿清除术病人128例,根据术后是否合并急性肾功能不全分为观察组(36例)和对照组(92例)。对影响病人术后发生急性肾功能不全的因素行单因素分析,对具有统计学意义的单因素采用多因素Logistic分析,并对独立危险因素的预测价值进行分析。结果单因素分析结果显示,观察组性别、年龄、格拉斯哥昏迷评分(GCS)、低血压、使用甘露醇、术后并发症(心力衰竭、呼吸衰竭、肺部感染)、血浆凝血酶时间等与对照组比较差异有统计学意义(P0.05);多因素Logistic分析结果发现,年龄、使用甘露醇、低血压、术后并发症、GCS评分对影响术后急性肾功能不全具有显著意义,属于独立危险因素(P0.05);GCS评分的ROC曲线面积最大,其次为甘露醇治疗和术后并发症,年龄的ROC曲线面积最小。结论影响重度颅脑损伤血肿清除术后急性肾功能不全的因素较多,其中年龄、使用甘露醇、低血压、术后并发症、GCS评分是独立危险因素,术后应根据病情和独立危险因素采取积极有效治疗措施以减轻肾功能损害。     

7种危险评分系统对CABG术后病死率预测效能的比较

目的 评价7种危险评分系统对于单中心接受冠状动脉旁路移植术(CABG)患者术后病死率的预测效能.方法 收集2010年1月至2011年1月施行CABG患者围手术期资料.应用7种危险评分系统:SinoSCORE、Additive EuroSCORE、Logistic EuroSCORE、OPR、Cleveland model、Parsonnet score、QMMI预测每一位患者术后病死率和全部患者的平均预计病死率.根据预计病死率将全部患者分为6组:Ⅰ组(0～1.99％),Ⅱ组(2.00％ ～ 3.99％),Ⅲ组(4.00％～5.99％),Ⅳ组(6.00％～7.99％),Ⅴ组(8.00％～9.99％),Ⅵ组(＞10％).比较不同危险程度的实际病死率和预计病死率评价评分系统的预测能力.运用Hosmer-Lemeshow拟合优度检验评价评分系统的校准度,运用ROC曲线下面积(AUC)评价评分系统的分辨力.结果 全组共1103例患者,平均年龄(62.8±8.8)岁.患者术后22例死亡,实际病死率1.99％.SinoSCORE、Additive EuroSCORE、Logistic EuroSCORE、OPR、Cleveland model、Parsonnet score、QMMI预测平均全组病死率分别为3.01％、4.38％、3.83％、1.69％、4.42％、6.71％、3.71％,其中最接近实际病死率的是OPR、SinoSCORE、QMMI.分组比较显示:Logistic EuroSCORE在各组中全部高估术后病死率.Additive EuroSCORE在Ⅵ组中预测病死率明显低于实际病死率,其他各组均高估了术后病死率.而SinoSCORE、Cleveland model、Parsonnet score、QMMI除了在Ⅰ组低估了患者术后病死率,其他各组高估了术后病死率.OPR低估了Ⅰ组和Ⅳ组患者的病死率,高估了其他组患者的病死率.利用Hosmer-Lemeshow拟合优度检验评价7种评分系统的校准度,结果显示7种评分系统校准度尚可,P值全部＞0.05.通过ROC检验比较7种评分系统的分辨力,其中只有SinoSCORE的AUC =0.751( ＞0.70),证明SinoSCORE对于本组患者的死亡分辨力良好.结论 通过比较,SinoSCORE对于本中心接受CABG患者术后病死率预测效能好,可以运用于术前危险性评估.     

伴肾功能不全的肝脏恶性肿瘤行消融治疗的临床观察

目的 探讨伴肾功能不全的肝癌行消融治疗的安全性与有效性,以及术后肾功能恶化的发生率.方法 2004年2月～2012年9月,16例伴肾功能不全的肝脏恶性肿瘤行24次经皮超声引导肝穿刺微波或射频消融治疗.肾功能分期:代偿期11例,失代偿期5例.10例消融1次,5例2次,1例4次.观察消融术后并发症、疗效以及肾功能变化情况.结果 16例初次消融术后围手术期肾功能衰竭发生率6.2％ (1/16);初次消融完全消融率87.5％(14/16).初次消融至末次消融后,肾功能恶化(肾功能分期由某一期进展为更高级别一期)发生率18.8％(3/16).结论 肾功能不全的肝脏恶性肿瘤行消融治疗有效,但可能增加术后肾功能衰竭的发生率.     

心脏术后急性肾损伤预测模型的研究现状

急性肾损伤(acute kidney injury,AKI)是心脏术后常见的高死亡率的并发症之一,国内外先后建立了多个心脏术后AKI预测模型。本文介绍国内外常用的14种心脏术后AKI预测模型的构成特点、临床应用以及预测能力的比较。年龄、充血性心力衰竭(congestive heart failure,CHF)、高血压、左室射血分数(left ventricular ejection fraction,LVEF)、糖尿病、瓣膜手术、冠状动脉旁路移植术(coronary artery bypass grafting,CABG)联合瓣膜手术、急诊手术、术前肌酐、术前肾小球滤过率估值(estimated glomerular filtration rate,e GFR)、纽约心脏协会(New York Heart Association,NYHA)心功能分级Ⅱ级、既往心脏手术史、体外循环(cardiopulmonary bypass,CPB)时间和术后低心排血量综合征(low cardiac output syndrome,LCOS)等危险因素被多次(3次)纳入不同的预测模型。欧美人群中比较Cleveland、Mehta和SRI模型对AKI和需肾脏替代治疗(renal replacement therapy,RRT)的AKI(RRT-AKI)的预测能力时,Cleveland有较高的分辨度,但对于中国人群,以上3种模型对AKI和RRT-AKI的预测能力均欠佳。     

腹膜透析在心脏手术后急性肾功能衰竭治疗中的应用

心脏病患者手术前常有不同程度的肾功能不全，手术创伤及体外循环的打击可导致术后出现急性肾功能衰竭(肾衰)。我院自1999年4月～2003年6月因术后早期出现急性肾衰行腹膜透析治疗患者33例，占同期手术总数的0．80％(33／4139)，现报告如下。     

复杂性肾结石并慢性肾功能不全47例的治疗

目的 提高复杂性肾结石并慢性肾功能不全的治疗水平。方法 收集47例复杂性肾结石并慢性肾功能不全的病例,比较几种不同的方法对肾功能恢复的影响,其中不阻断血流取石18例(A组),原位低温阻断肾血流取石22例(B组),保守治疗7例(C组)。结果 治疗后3月血Cr下降人数比:A组100％,B组81.8％,其中4例术后出现肾功能衰竭,C组28.6％。治疗后6月血Cr平均下降值: A组232.3μmol·L-1, B组87.2μmol·L-1, C组10.6μmol·L-1。结论 不阻断肾血流的取石肾脏损害轻,预后较为理想。阻断肾血流取石,多数病例预后较好,但少数加重肾脏的损害,导致术后肾功能衰竭,应警惕。消极等待不如积极治疗。     

肝移植病人术后急性肾功能衰竭18例临床分析

目的:探讨影响肝移植术后发生急性肾功能衰竭的原因及处理方法。方法:回顾性分析我院91例肝移植病人中发生与未发生术后急性肾功能衰竭病人的临床资料,采用单因素分析和Logistic回归模型进行多因素分析。结果:肾衰组病人1年生存率低于对照组;与术后发生早期急性肾功能衰竭的有关因素包括术前血清肌酐、总胆红素、总手术时间、术中出血量、输血量、术中输液总量、术中尿量。术前血清肌酐高和术中尿量是术后早期急性肾功能衰竭发生的独立影响因素。移植术后发生急性肾功能衰竭的病人ICU留置时间延长,术后住院时间延长,住院费用升高。结论:肝移植术后有较高的急性肾功能衰竭发生率,对术后少尿、血清肌酐水平升高的病人及早实施肾脏替代等治疗能有效降低其发病率和死亡率。     

Renji acute kidney injury score is a useful tool to predict acute kidney injury after cardiac surgery

Objective To validate the effect of Renji acute kidney injury score (RAKIS) on predicting patients with acute kidney injury (AKI) after cardiac surgeries, and make comparison with Cleveland score, simplified renal index (SRI) and acute kidney injury following cardiac surgery (AKICS). Methods Patients undergoing open heart surgery from 2008/01/01 to 2010/10/31 in Renji hospital were enrolled, and their scores of those four scoring models were calculated. AKI patients were diagnosed by KDIGO, and those scores of AKI patients and non-AKI patients were compared. Receiver operating characteristic (ROC) curve and area under curve (AUC) were used to decide the predictive values of those models. Results A total of 1126 patients were chosen in this cohort, with the average age of (58.43±14.88) years (rang from 18 to 88). The male to female ratio was 1.47∶1. And 355(31.5%) patients were developed AKI. AKI stage Ⅰ, Ⅱ and Ⅲ were 65.4%, 23.7% and 11.0% respectively. RAKIS was significantly higher in AKI patients than in non-AKI patients (17.5 vs 9.0, P＜0.001). The AUCs of RAKIS to predict AKI, AKI Ⅱ-Ⅲ stages, renal replacement therapy (RRT) and in-hospital death were 0.818, 0.819, 0.800 and 0.784 respectively. The AUCs of Cleveland score and SRI were 0.659 to 0.710, lower than those of RAKIS and AKICS. AKICS had lower value for predicting AKI and AKI Ⅱ-Ⅲ stages (AUC 0.766 and 0.793), but good value in predicting RRT and in-hospital death after surgery (AUC 0.804 and 0.835) as compared with RAKIS. Conclusions RAKIS is valid and accurate in the discrimination of KDIGO defined AKI patients, while for predicting the composite end point, AKICS may be more useful.     

Validation of 5 prediction models for acute kidney injury and its outcome after cardiac surgery procedures in Chinese patients

ObjectiveTo assess the clinical usefulness and value of the 5 models for the prediction of acute kidney injury (AKI), severe AKI which renal replacement treatment was needed (RRT-AKI) and death after cardiac surgery procedures in Chinese patients. Methods One thousand and sixty - seven patients who underwent cardiac surgery procedures in the department of cardiac surgery in the Zhongshan Hospital, Fudan University between May 2010 and January 2011 were involved in this research. The predicting value for AKI (AKICS), RRT-AKI (Cleveland, SRI and Mehta score) and death (EURO score) after cardiac surgery procedures was evaluated by Hosmer-Lemeshow goodness-of-fit test for the calibration and area under receiver operation characteristic curve (AUROC) for the discrimination. ResultsThe incidence of AKI was 20.34%(217/1067), and 63.13% of their renal function recovered completely. The incidence of RRT-AKI was 3.56%(38/1067) and the mortality of AKI and RRT - AKI was 9.68%(21/217) and 44.73%(17/38) respectively. The total mortality was 3.28%（35/1067）. The discrimination and calibration for the prediction of AKI of AKICS were low. For the prediction of RRT-AKI, the discrimination and calibration of Cleveland score were high enough, but the predicated value was lower than the real value (1.70% vs 3.86%). The discrimination of Mehta score and the calibration of SRI were low. The discrimination and calibration for the prediction of death of EURO score was low. ConclusionAccording to the 2012 KDIGO AKI definition, none of the 5 models above is good at predicting AKI after cardiac surgery procedures. Cleveland score has been validated to have a proper impact on predicting RRT-AKI after cardiac surgery procedures, but the predicting value is still in doubt. EURO score has been validated to have an inaccurate predicting value for death after cardiac surgery procedures.     

A new model to predict acute kidney injury after cardiac surgery in patients with renal insufficiency

ObjectiveTo establish a simple model for predicting postoperative acute kidney injury (AKI) requiring renal replacement therapy (RRT) in patients with renal insufficiency (CKD stages 3–4) who underwent cardiac surgery.MethodsA total of 330 patients were enrolled. Among them, 226 were randomly selected for the development group and the remaining 104 for the validation group. The primary outcome was AKI requiring RRT. A nomogram was constructed based on the multivariate analysis with variables selected by the application of the least absolute shrinkage and selection operator. Meanwhile, the discrimination, calibration, and clinical power of the new model were assessed and compared with those of the Cleveland Clinic score and Simplified Renal Index (SRI) score in the validation group. Results: The rate of RRT in the development group was 10.6% (n = 24), while the rate in the validation group was 14.4% (n = 15). The new model included four variables such as postoperative creatinine, aortic cross‐clamping time, emergency, and preoperative cystatin C, with a C-index of 0.851 (95% CI, 0.779–0.924). In the validation group, the areas under the receiver operating characteristic curves for the new model, SRI score, and Cleveland Clinic score were 0.813, 0.791, and 0.786, respectively. Furthermore, the new model demonstrated greater clinical net benefits compared with the Cleveland Clinic score or SRI score.ConclusionsWe developed and validated a powerful predictive model for predicting severe AKI after cardiac surgery in patients with renal insufficiency, which would be helpful to assess the risk for severe AKI requiring RRT.     

Acute kidney injury prediction following elective cardiac surgery: AKICS Score

Acute kidney injury (AKI) following cardiac surgery (AKICS) is associated with increased postoperative (post-op) morbidity and mortality. A prognostic score system for AKI would help anticipate patient (pt) treatment. To develop a predictive score (AKICS) for AKI following cardiac surgery, we used a broad definition of AKI, which included perioperative variables. Six hundred three pts undergoing cardiac surgery were prospectively evaluated for AKI defined as serum creatinine above 2.0 mg/dl or an increase of 50% above baseline value. Univariate and multivariate analyses were used to evaluate pre-, intra-, and post-op parameters associated with AKI. The AKICS scoring system was prospectively validated in a new data set of 215 pts with an incidence of AKI of 14%. Variables included in the AKICS score were age greater than 65, pre-op creatinine above 1.2 mg/dl, pre-op capillary glucose above 140 mg/dl, heart failure, combined surgeries, cardiopulmonary bypass time above 2 h, low cardiac output, and low central venous pressure. The AKICS score presented good calibration and discrimination in both the study group and validation data set. The AKICS system that we developed, which incorporates five risk categories, accurately predicts AKI following cardiac surgery.     

Current therapeutic strategies for acute kidney injury

Acute kidney injury (AKI) is characterized by a rapid decrease in kidney function and increased serum creatinine. The term acute renal failure (ARF) has been applied to such clinical manifestations. Despite several advances in the treatment of ARF, such as pharmacologic treatment and renal replacement therapy (RRT), the mortality rate among patients with ARF has changed little over the past four decades. It is widely recognized that ARF is associated with significantly increased morbidity and mortality especially in critically ill patients with ARF requiring RRT. Therefore, in order to improve outcomes in ARF patients, a new concept of AKI has been proposed. Recently the paradigm shift from ARF to AKI has been received by the research and clinical communities. In this review we will discuss the therapeutic strategies for AKI and focus on its management with an emphasis on RRT.     

Predicting acute kidney injury after cardiac surgery: a systematic review

Acute kidney injury (AKI) after cardiac surgery confers a significant increased risk of death. Several risk models have been developed to predict postoperative kidney failure after cardiac surgery. This systematic review evaluated the available risk models for AKI after cardiac surgery. Literature searches were performed in the Web of Science/Knowledge, Scopus, and MEDLINE databases for articles reporting the primary development of a risk model and articles reporting validation of existing risk models for AKI after cardiac surgery. Data on model variables, internal or external validation (or both), measures of discrimination, and measures of calibration were extracted. The systematic review included 7 articles with a primary development of a prediction score for AKI after cardiac surgery and 8 articles with external validation of established models. The models for AKI requiring dialysis are the most robust and externally validated. Among the prediction rules for AKI requiring dialysis after cardiac surgery, the Cleveland Clinic model has been the most widely tested thus far and has shown high discrimination in most of the tested populations. A validated score to predict AKI not requiring dialysis is lacking. Further studies are required to develop risk models to predict milder AKI not requiring dialysis after cardiac surgery. Standardizing risk factor and AKI definitions will facilitate the development and validation of risk models predicting AKI.     

Mild acute kidney injury after pediatric surgery is not-associated with long-term renal dysfunction: A retrospective cohort study

Background and study objectiveAcute kidney injury (AKI) is a sudden deterioration in renal function and is common in pediatric patients undergoing cardiac and non-cardiac surgery. Few studies have investigated the association of postoperative AKI with kidney dysfunction seen long-term and other adverse outcomes in pediatric patients. The study aimed to determine the association between postoperative AKI (mild AKI vs. no AKI and mild AKI vs. moderate-severe AKI) and chronic kidney dysfunction (CKD) seen long-term in pediatric patients undergoing cardiac and non-cardiac major surgery.DesignRestrospective, cohort study.SettingTertiary care hospital.PatientsThis retrospective cohort study included patients aged 2–18 years who underwent cardiac and non-cardiac major surgery lasting >2 h at the Cleveland Clinic Main Campus between June 2005 and December 2020.MeasurementsPostoperative AKI and CKD seen in long-term were defined and staged according to the Kidney Disease: Improving Global Outcomes criteria.Main resultsAmong 10,597 children who had cardiac and non-cardiac major surgery, 1,302 were eligible. A total of 682 patients were excluded for missing variables and baseline kidney dysfunction and 620 patients were included. The mean age was 11 years, and 307 (49.5%) were female. Postoperative mild AKI was detected in 5.8% of the patients, while moderate-severe AKI was detected in 2.4%. There was no significant difference in CKD seen in long-term between patients with and without postoperative AKI, p = 0.83. The CKD seen in long-term developed in 27.7% of patients with postoperative mild AKI and 33.3% of patients with postoperative moderate and severe AKI. Patients without postoperative AKI had an estimated 1.09 times higher odds of having CKD seen in long-term compared with patients who have postoperative mild AKI (odds ratio [95% CI] 1.09 [0.48,2.52]).ConclusionIn contrast to adult patients, the authors did not find any association between postoperative AKI and CKD seen in long-term in pediatric patients.     

AKIN标准联合APACHEⅡ和SOFA评分对心脏术后急性肾损伤的预后评估

目的 探讨急性肾损伤网络（AKIN）制定的急性肾损伤（AKI）诊断标准联合急性生理与慢性健康状况评分Ⅱ（APACHEⅡ）和序贯器官衰竭评估（SOFA）评分对心脏术后AKI的预后评估价值。 方法 前瞻性收集2009年4月至8月期间在本院行心脏手术患者的临床资料,采用AKIN标准对心脏术后患者进行AKI诊断和分期;根据患者术后第1个24 h内的生理指标最差值进行APACHEⅡ和SOFA评分,并用受试者工作特征（ROC）曲线和Hosmer-Lemeshow拟合优度检验评价3项评估系统的分辨力和校准力。以Logistic多元回归分析它们对预后的影响。 结果 993例患者中309例术后出现AKI,发病率为31.1%。患者AKI诊断日和首次达AKIN 最高分期日距手术的中位间隔时间分别为1 d和2 d。AKIN 1、2、3期患者的APACHEⅡ及SOFA评分均高于非AKI患者（P < 0.01）,且分值与AKIN分期呈正相关（APACHEⅡ r = 0.37,P < 0.01;SOFA r = 0.42,P < 0.01）。病死率亦随AKIN分期升高而升高。非AKI组、AKIN 1期患者根据APACHEⅡ分值计算所得的校正预计病死率（PDR-A）明显高于实际病死率（P < 0.01）,而AKIN 3期PDR-A则低于实际病死率（P < 0.01）。APACHE Ⅱ、SOFA评分及AKIN分期的ROC曲线下面积（AUC）均>0.8,且Hosmer-Lemeshow拟合优度检验提示模型拟合较好。Logistic多元回归分析显示APACHEⅡ≥19（OR = 4.26）和AKIN 3期（OR = 76.15）是心脏术后患者院内死亡的独立预测指标。 结论 AKIN标准能在心脏术后早期对患者进行AKI诊断和分期,且在一定程度上发挥预后评估的作用。APACHEⅡ和SOFA在术后第1个24 h内的评分能较好区分病情的严重程度。3者作为预测模型均显示了对于整体预后较好的分辨力和校准力,且APACHEⅡ≥19和AKIN 3期是心脏术后患者院内死亡的独立预测指标。需注意APACHEⅡ计算所得的PDR-A与AKIN不同分期组实际病死率相比存在偏差,动态评分可能有助于提高预测准确性。     

Prediction of acute kidney injury after left ventricular assist device implantation: Evaluation of clinical risk scores

Acute kidney injury (AKI) is frequent in patients scheduled for implantation of a left ventricular assist device (LVAD) and associated with increased mortality. Although several risk models for the prediction of postoperative renal replacement therapy (RRT) have been developed for cardiothoracic patients, none of these scoring systems have been validated in LVAD patients. A retrospective, single center analysis of all patients undergoing LVAD implantation between September 2013 and July 2016 was performed. Primary outcome was AKI requiring RRT within 14 days after surgery. The predictive capacity of the Cleveland Clinic Score (CCS), the Society of Thoracic Surgeons Score (STS), and the Simplified Renal Index Score (SRI) were evaluated. 76 patients underwent LVAD implantation, 19 patients were excluded due to preoperative RRT. RRT was associated with a prolonged ventilation time, length of stay on the ICU and 180 day mortality (14(60.9%) vs 6(17.6%), P < .01). Whereas the Thakar Score (7.43 ± 1.75 vs 6.44 ± 1.44, P = .02) and the Mehta Score (28.12 ± 15.08 vs 21.53 ± 5.43, P = .02) were significantly higher in patients with RRT than in those without RRT, the SRI did not differ between these groups (3.96 ± 1.15 vs 3.44 ± 1.05, P = .08). Using ROC analyses, CCS, STS, and SRI showed moderate predictive capacity for RRT with an AUC of 0.661 ± 0.073 (P = .040), 0.637 ± 0.079 (P = .792), and 0.618 ± 0.075 (P = .764), respectively, with comparable accuracy in the Delong test. Using univariate logistic regression analysis, only the De Ritis Ratio (OR 2.67, P = .034) and MELD (OR 1.11, P = .028) were identified as predictors of postoperative RRT. Risk scores which are predictive in general cardiac surgery cannot predict RRT in patients after LVAD implantation. Therefore, it seems to be necessary to develop a specific risk score for this patient population.