Cardiology Department, University of Health Sciences Turkey Istanbul Mehmet Akif Ersoy Thoracic and Cardiovascular Surgery Training and Research Hospital, Istanbul, Turkey.
Kardiol Pol. 2021;79(6):662-668. doi: 10.33963/KP.15933. Epub 2021 May 20.
Transcatheter aortic valve implantation (TAVI) is an effective, less invasive treatment alternative for symptomatic severe aortic stenosis (AS). Acute kidney injury (AKI) following TAVI is a common complication and is associated with worse outcomes. The age, creatinine, ejection fraction (ACEF) score is a simple scoring method, including only three parameters: age, creatinine, and ejection fraction (EF). The score was well established in predicting AKI after coronary interventions.
We aimed to evaluate whether this simple scoring method, ACEF, may predict a development of AKI in patients who underwent TAVI.
A total of 173 consecutive patients with symptomatic severe AS who underwent TAVI were included retrospectively. The primary endpoint of the study was the development of AKI. Study population was divided into two groups according to the presence of AKI. The ACEF score was calculated with the formula: age/EF + 1 (if baseline creatinine >2 mg/dl).
Twenty-nine patients developed AKI. The median (interquartile range) ACEF score was 1.36 (1.20-1.58). The ACEF score was found to be an independent predictor of AKI (P <0.001). The ACEF score ≥1.36 predicted AKI development with a sensitivity of 96.6% and specificity of 58.8%. Moreover, hypertension, hemoglobin levels, contrast volume, and aortic valve area (AVA) were found to be independent predictors of AKI.
Our study revealed that the ACEF score was an independent predictor of AKI. A simple and objective score might be very useful in predicting AKI development in patients undergoing TAVI.
经导管主动脉瓣植入术(TAVI)是一种有效的、微创的治疗方法,适用于有症状的严重主动脉瓣狭窄(AS)患者。TAVI 后急性肾损伤(AKI)是一种常见的并发症,与更差的预后相关。年龄、肌酐、射血分数(ACEF)评分是一种简单的评分方法,仅包含三个参数:年龄、肌酐和射血分数(EF)。该评分在预测冠状动脉介入治疗后的 AKI 方面得到了很好的验证。
我们旨在评估这种简单的评分方法,ACEF,是否可以预测接受 TAVI 的患者发生 AKI。
回顾性纳入了 173 例接受 TAVI 的有症状的严重 AS 患者。研究的主要终点是 AKI 的发生。根据是否存在 AKI,将研究人群分为两组。ACEF 评分的计算方法为:年龄/EF+1(如果基线肌酐>2mg/dl)。
29 例患者发生 AKI。ACEF 评分的中位数(四分位间距)为 1.36(1.20-1.58)。ACEF 评分是 AKI 的独立预测因子(P<0.001)。ACEF 评分≥1.36 预测 AKI 发生的敏感性为 96.6%,特异性为 58.8%。此外,高血压、血红蛋白水平、对比剂用量和主动脉瓣面积(AVA)是 AKI 的独立预测因子。
我们的研究表明,ACEF 评分是 AKI 的独立预测因子。简单而客观的评分方法可能非常有助于预测接受 TAVI 的患者 AKI 的发生。