Şaylık Faysal, Çınar Tufan, Sarıkaya Remzi, Tanboğa İbrahim Halil
Department of Cardiology, Van Education and Research Hospital, Van, Turkey.
Department of Cardiology, Sultan II. Abdulhamid Han Education and Research Hospital, Istanbul, Turkey.
Angiology. 2024 Aug;75(7):673-681. doi: 10.1177/00033197231191429. Epub 2023 Jul 24.
Contrast-induced nephropathy (CIN) is a prominent complication of ST-elevation myocardial infarction (STEMI) after primary percutaneous coronary intervention (pPCI). The systemic immune inflammation response index (SIIRI) is a novel inflammatory marker developed by multiplying the monocyte count by the systemic immune inflammation index (SII) and is associated with coronary artery disease severity. We investigated the predictive ability of SIIRI for detecting CIN in STEMI patients (n = 2289) following pPCI and developed a nomogram based on SIIRI for risk stratifying. CIN was diagnosed based on an elevation in baseline creatinine levels >.5 mg/dL or 25% within 72 h after pPCI; 219 CIN (+) and 2070 CIN (-) patients were included. CIN (+) patients had higher SIIRI than CIN (-) patients and SIIRI was an independent predictor of CIN. A nomogram based on SIIRI had good calibration and discrimination abilities for predicting CIN development. SIIRI was superior to SII in discriminating CIN (+) patients. Adding SIIRI to the baseline model, which consists of age, hypertension, hemoglobin, estimated glomerular filtration rate, albumin, ejection fraction, lesion length, and pain-to-balloon time, had a higher discriminative ability and benefit in detecting CIN (+) patients than baseline model as assessed by decision curve analysis.
对比剂肾病(CIN)是ST段抬高型心肌梗死(STEMI)患者在接受直接经皮冠状动脉介入治疗(pPCI)后的一种突出并发症。全身免疫炎症反应指数(SIIRI)是一种新的炎症标志物,通过将单核细胞计数乘以全身免疫炎症指数(SII)得出,与冠状动脉疾病严重程度相关。我们研究了SIIRI对pPCI后STEMI患者(n = 2289)发生CIN的预测能力,并基于SIIRI绘制了列线图进行风险分层。CIN的诊断依据为pPCI后72小时内基线肌酐水平升高>.5 mg/dL或升高25%;纳入219例CIN(+)患者和2070例CIN(-)患者。CIN(+)患者的SIIRI高于CIN(-)患者,且SIIRI是CIN的独立预测因子。基于SIIRI的列线图在预测CIN发生方面具有良好的校准和鉴别能力。在鉴别CIN(+)患者方面,SIIRI优于SII。将SIIRI添加到由年龄、高血压、血红蛋白、估计肾小球滤过率、白蛋白、射血分数、病变长度和疼痛至球囊扩张时间组成的基线模型中,通过决策曲线分析评估,在检测CIN(+)患者方面比基线模型具有更高的鉴别能力和益处。