Predictive value of hemoglobin-to-red blood cell distribution width ratio for contrast-induced nephropathy after emergency percutaneous coronary intervention

医学 红细胞分布宽度 造影剂肾病 经皮冠状动脉介入治疗 内科学 心脏病学 肌酐 心肌梗塞 肾病 传统PCI 血红蛋白 切断 接收机工作特性 胃肠病学 糖尿病 内分泌学 物理 量子力学
作者
Xipeng Sun,Ruixue Zhang,Zhenxing Fan,Zhi Liu,Qi Hua
出处
期刊:Perfusion [SAGE]
卷期号:38 (7): 1511-1518 被引量:5
标识
DOI:10.1177/02676591221119422
摘要

Background Although the relationship of either hemoglobin or red blood cell distribution width (RDW) with contrast-induced nephropathy (CIN) has been reported individually. To date, no studies have evaluated the predictive value of hemoglobin-to-red blood cell distribution width ratio (HRR) for CIN. Methods A total of 1658 elderly patients with ST-segment elevation myocardial infarction (STEMI) undergoing emergency percutaneous coronary intervention (PCI) were retrospectively screened. Preoperative complete blood count was collected and the HRR was calculated as the ratio of hemoglobin to RDW. CIN was defined as an absolute ≥0.5 mg/dL (44.2 μmol/L) or a relative ≥25% increase in creatinine level at 72 h after contrast administration. Univariate and multivariate regression analysis were conducted to determine the effective predictors for CIN. The ROC curve analysis was plotted to determine the optimal cutoff value for HRR in predicting CIN. Results The overall incidence of CIN was 8.38%. The HRR was significantly lower in the CIN group compared with the non-CIN group (0.87 ± 0.15 vs 1.24 ± 0.23, p < 0.001). After multivariate regression analysis was performed, HRR was noted to be an effective predictor for the development of CIN (OR 1.617, 95% CI 1.439–2.706, p = 0.014), along with age, creatinine, eGFR, hs-CRP and contrast volume. An optimal cutoff value of 0.94 or lower for HRR was identified with 82.4% sensitivity and 63.5% specificity to predict CIN. Conclusion Lower HRR on admission was an effective predictor for CIN in elderly patients with STEMI undergoing emergency PCI. HRR may be a convenient, economical and reliable biomarker for risk stratification.
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