Clinical outcomes in end stage renal disease on dialysis and severe coronary artery disease: A real-world study

医学 狼牙棒 经皮冠状动脉介入治疗 冠状动脉疾病 内科学 心脏病学 传统PCI 透析 终末期肾病 肾脏疾病 腹膜透析 心力衰竭 血液透析 心肌梗塞
作者
Samuel Ji Quan Koh,Jonathan Yap,Yilin Jiang,Gerald Gui Ren Sng,Yi Hua Low,Yee How Lau,Yoong Kong Sin,Khung Keong Yeo
出处
期刊:International Journal of Cardiology [Elsevier]
卷期号:378: 105-110 被引量:4
标识
DOI:10.1016/j.ijcard.2023.02.029
摘要

The optimal management of patients with end-stage renal disease (ESRD) on dialysis with severe coronary artery disease (CAD) has not been determined.Between 2013 and 2017, all patients with ESRD on dialysis who had left main (LM) disease, triple vessel disease (TVD) and/or severe CAD for consideration of coronary artery bypass graft (CABG) were included. Patients were divided into 3 groups based on final treatment modality: CABG, percutaneous coronary intervention (PCI), optimal medical therapy (OMT). Outcome measures include in-hospital, 180-day, 1-year and overall mortality and major adverse cardiac events (MACE).In total, 418 patients were included (CABG 11.0%, PCI 65.6%, OMT 23.4%). Overall, 1-year mortality and MACE rates were 27.5% and 55.0% respectively. Patients who underwent CABG were significantly younger, more likely to have LM disease and have no prior heart failure. In this non-randomized setting, treatment modality did not impact on 1-year mortality, although the CABG group had significantly lower 1-year MACE rates (CABG 32.6%, PCI 57.3%, OMT 59.2%; CABG vs. OMT p < 0.01, CABG vs. PCI p < 0.001). Independent predictors of overall mortality include STEMI presentation (HR 2.31, 95% CI 1.38-3.86), prior heart failure (HR 1.84, 95% CI 1.22-2.75), LM disease (HR 1.71, 95% CI 1.26-2.31), NSTE-ACS presentation (HR 1.40, 95% CI 1.03-1.91) and increased age (HR 1.02, 95% CI 1.01-1.04).Treatment decisions for patients with severe CAD with ESRD on dialysis are complex. Understanding independent predictors of mortality and MACE in specific treatment subgroups may provide valuable insights into the selection of optimal treatment options.
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