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    淋巴细胞与C反应蛋白比值对STEMI患者PCI术后对比剂诱导的急性肾损伤的预测价值

    Predictive value of lymphocyte to C-reactive protein ratio for contrast-induced acute kidney injury after PCI in patients with STEMI

    • 摘要: 目的 探讨淋巴细胞与C反应蛋白比值(LCR)对ST段抬高型心肌梗死(STEMI)患者急诊经皮冠状动脉介入治疗(PCI)发生对比剂诱发的急性肾损伤(CI-AKI)的影响。方法 选取2022年2月—2024年8月于睢宁县人民医院诊断为STEMI且成功行PCI治疗的患者,收集临床资料进行回顾性分析。采用logistic回归分析确定CI-AKI相关的风险因素。采用限制性立方样条(RCS)确定LCR和CI-AKI之间的剂量-反应关系。采用受试者工作特征(ROC)曲线、净再分类指数(NRI)和综合判别改进指数(IDI)评估不同模型的预测效能。结果 本研究共纳入671例患者,住院期间CI-AKI的发生率为 80/671(11.9%)。多因素logistic回归结果显示,左心室射血分数(LVEF)、空腹血糖、氨基末端脑钠肽前体(NT-proBNP)和LCR是影响STEMI患者PCI术后发生CI-AKI的独立因素。RCS结果提示LCR与CI-AKI存在线性剂量-反应关系。采用LVEF、空腹血糖和NT-proBNP建立传统预测模型;整合LCR后,建立新预测模型,结果显示新模型预测STEMI患者CI-AKI的效能明显提高(NRI=0.383, 95%CI: 0.1949~0.5711, P<0.001;IDI=0.017, 95%CI: 0.0093~0.0244, P<0.001)。结论 低LCR是STEMI患者PCI术后CI-AKI的独立危险因素。LCR与CI-AKI之间存在线性剂量反应关系。整合LCR可改善对CI-AKI发生的预测能力。

       

      Abstract: Objective To investigate the impact of lymphocyte-to-C-reactive protein ratio (LCR) on contrast-induced acute kidney injury (CI-AKI) in patients with ST-segment elevation myocardial infarction (STEMI) after emergency percutaneous coronary intervention (PCI). Methods Patients who were diagnosed with STEMI and underwent successful PCI treatment at Suining County People's Hospital between February 2022 and August 2024 were included and their clinical data were collected for retrospective analysis. Logistic regression was used to identify risk factors for CI-AKI. Restricted cubic splines (RCS) were used to determine the dose-response relationship between LCR and CI-AKI. The predictive performance of different models was evaluated using receiver operating characteristic (ROC) curves, net reclassification improvement (NRI), and integrated discrimination improvement (IDI). Results A total of 671 patients were included in the study, with an incidence of CI-AKI during hospitalization of 80/671 (11.9%). Multivariable logistic regression analysis showed that left ventricular ejection fraction (LVEF), fasting blood glucose, N-terminal pro-brain natriuretic peptide(NT-proBNP), and LCR were independent factors associated with the occurrence of CI-AKI in STEMI patients after PCI. RCS analysis revealed a linear dose-response relationship between LCR and CI-AKI. A traditional prediction model was established using LVEF, fasting blood glucose, and NT-proBNP. After incorporating LCR, a new predictive model was developed, and the results showed a significant improvement in the predictive performance of the new model for in-hospital CI-AKI in STEMI patients (NRI=0.383, 95%CI: 0.1949-0.5711, P<0.001; IDI=0.017, 95%CI: 0.0093-0.0244, P<0.001). Conclusions Low LCR is an independent risk factor for CI-AKI after PCI in STEMI patients. There is a linear dose-response relationship between LCR and CI-AKI. Incorporating LCR improves the predictive ability for the occurrence of CI-AKI.

       

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