论文已发表
注册即可获取德孚的最新动态
IF 收录期刊
肾功能不全患者经主动脉内球囊反搏辅助经皮冠状动脉介入治疗的肾脏和心血管结局:一项倾向匹配研究及主要不良心血管事件预测模型的开发
Received 7 May 2025
Accepted for publication 9 August 2025
Published 18 August 2025 Volume 2025:18 Pages 4549—4562
DOI https://doi.org/10.2147/IJGM.S532170
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Franco Musio
Zifeng Zeng,1,2 Rongtai Luo,1,2 Xinping Lan1,2
1Center for Cardiovascular Diseases, Meizhou Academy of Medical Sciences, Meizhou People’s Hospital, Meizhou, People’s Republic of China; 2Guangdong Provincial Engineering and Technology Research Center for Molecular Diagnostics of Cardiovascular Diseases, Meizhou People’s Hospital, Meizhou, People’s Republic of China
Correspondence: Xinping Lan, Center for Cardiovascular Diseases, Meizhou Academy of Medical Sciences, Meizhou People’s Hospital, Meizhou, People’s Republic of China, Email lan-xinping@163.com
Background: The renal safety and cardiovascular outcomes of intra-aortic balloon pump (IABP) support during percutaneous coronary intervention (PCI) in patients with renal dysfunction remain controversial.
Objective: To investigate the effects of IABP on renal function and major adverse cardiovascular events (MACEs) in PCI patients with renal dysfunction, and to establish an individualized prognostic prediction model.
Methods: In this retrospective cohort study, 253 PCI patients with renal dysfunction from Meizhou People’s Hospital (January-December 2023) were analyzed. Propensity score matching (1:4 IABP/non-IABP) balanced baseline characteristics. Least absolute shrinkage and selection operator (LASSO) regression identified predictors for MACEs, followed by nomogram development and validation.
Results: Post-matching (IABP = 16, non-IABP = 64), despite higher baseline risk in the IABP group, no intergroup differences occurred in postoperative creatinine, eGFR, or MACEs incidence (all P > 0.05). However, this group exhibited greater eGFR decline from baseline. Multivariate analysis identified five independent MACEs predictors: preoperative B-type natriuretic peptide (BNP), postoperative BNP, preoperative neutrophil-to-lymphocyte ratio (NLR), postoperative blood urea nitrogen (BUN), and prealbumin levels. The prediction model achieved AUCs of 0.869 ( 95% CI: 0.774– 0.964) and 0.843 ( 95% CI: 0.678– 1.000) in training and validation sets, with decision curve analysis confirming clinical utility at 10%– 80% risk thresholds.
Conclusion: IABP may exacerbate subclinical renal injury in PCI patients with renal dysfunction without mitigating MACEs risk. The validated nomogram provides individualized risk stratification to guide clinical management.
Keywords: intra-aortic balloon pump, renal dysfunction, percutaneous coronary intervention, prognostic model, propensity score matching, major adverse cardiovascular events