Department of Cardiology, Tianjin Chest Hospital, Tianjin, China.
Catheter Cardiovasc Interv. 2014 Jan 1;83(1):E8-16. doi: 10.1002/ccd.25109. Epub 2013 Sep 30.
To develop a simple scoring system based on preprocedural clinical features that is capable of predicting contrast-induced acute kidney injury (CI-AKI) before percutaneous coronary intervention (PCI).
CI-AKI is associated with increased in-hospital morbidity and mortality, prolonged hospitalization, and long-term renal impairment. Although several scoring methods have been developed to determine risk of CI-AKI, no simple scoring method based on PCI preprocedural clinical features yet exists for Chinese patients.
A total of 2,500 Chinese patients were randomly and retrospectively assigned in a 3:2 manner to create a training and validation dataset, respectively. CI-AKI was defined as an increase of ≥25% or ≥0.5 mg/dL serum creatinine within 5 days after PCI. Preprocedural clinical variables showing independent correlation to CI-AKI were used to derive the risk score from the training dataset and then subsequently tested in the validation dataset. The odds ratios from multivariate logistic regression were used to assign a weighted integer to age ≥70 years = 4, history of myocardial infarction = 5, diabetes mellitus = 4, hypotension = 6, left ventricular ejection fraction ≤45% = 4, anemia = 3, creatinine clearance rate <60 mL/min = 7, decreased high-density lipoprotein <1 mmol/L= 3, and urgent PCI = 3. Summation of the integers represented the total risk score.
The overall incidence of CI-AKI in the training dataset was 16.4% [246/1500; 5.4% for low (≤7) and 61.3% for very high (≥17) risk scores]. The rates of CI-AKI, 1-year dialysis, and 1-year mortality increased significantly with each group (Cochran-Armitage test of trend, P < 0.001). The risk score facilitated appropriate classification of patients with low and high risk for CI-AKI after PCI in the validation dataset (c-statistic = 0.82).
Risk classification based on the most significantly correlated parameters is useful for predicting CI-AKI before contrast exposure. The simple preprocedural score showed excellent predictive ability for identifying patients at high risk of nephropathy and those with deteriorative prognosis after PCI.
建立一种基于术前临床特征的简单评分系统,以便在经皮冠状动脉介入治疗(PCI)前预测对比剂诱导的急性肾损伤(CI-AKI)。
CI-AKI 与住院期间发病率和死亡率增加、住院时间延长以及长期肾功能损害有关。尽管已经开发了几种评分方法来确定 CI-AKI 的风险,但尚未为中国患者建立基于 PCI 术前临床特征的简单评分方法。
将 2500 例中国患者随机分为 3:2 的比例分别进入训练数据集和验证数据集。CI-AKI 的定义为 PCI 后 5 天内血清肌酐升高≥25%或≥0.5mg/dL。使用与 CI-AKI 独立相关的术前临床变量,从训练数据集中得出风险评分,然后在验证数据集中进行检验。多变量逻辑回归的比值比用于为年龄≥70 岁(=4)、心肌梗死史(=5)、糖尿病(=4)、低血压(=6)、左心室射血分数≤45%(=4)、贫血(=3)、肌酐清除率<60mL/min(=7)、高密度脂蛋白降低<1mmol/L(=3)和紧急 PCI(=3)赋值加权整数。整数的总和代表总风险评分。
在训练数据集中,CI-AKI 的总发生率为 16.4%[246/1500;低(≤7)风险评分组为 5.4%,高(≥17)风险评分组为 61.3%]。CI-AKI、1 年透析和 1 年死亡率的发生率随着风险评分的增加而显著增加(趋势 Cochran-Armitage 检验,P<0.001)。风险评分在验证数据集中有助于对 PCI 后 CI-AKI 低危和高危患者进行适当分类(C 统计量=0.82)。
基于相关性最强的参数进行风险分类,有助于在造影前预测 CI-AKI。简单的术前评分对于识别发生肾病风险较高的患者以及 PCI 后预后恶化的患者具有良好的预测能力。