Batuhan Yazıcı, Mustafa Can Kaplan, Zinar Apaydın, Alkım Ateşli Yazıcı, Barış Timur, İsa Can, Tural Muradlı, Alper Selim Kocaoğlu
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Cox proportional hazards regression was used to identify independent predictors of late mortality.ResultsPatients with high IPI scores (≥0.2588) had significantly increased late mortality compared to those with low IPI (<0.2588) (10.3% vs 2.3%, <i>p</i> < .001). High IPI was associated with elevated CRP and neutrophils, and reduced albumin and lymphocytes. In univariate analysis, age, bioprosthesis use, and high IPI were significantly associated with late mortality. However, in multivariate analysis, only high IPI remained an independent predictor (HR = 3.405, 95% CI: 1.289-8.996, <i>p</i> = .013). Kaplan-Meier survival analysis confirmed lower long-term survival in the high-IPI group (<i>log-rank p</i> < .001).ConclusionPreoperative IPI is a simple, accessible, and independent predictor of late mortality after surgical AVR. Integrating IPI into preoperative risk assessment may improve long-term prognostic stratification and guide perioperative management.</p>","PeriodicalId":49707,"journal":{"name":"Perfusion-Uk","volume":" ","pages":"2676591251375717"},"PeriodicalIF":1.1000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Inflammatory prognostic index predicts late mortality after surgical aortic valve replacement.\",\"authors\":\"Batuhan Yazıcı, Mustafa Can Kaplan, Zinar Apaydın, Alkım Ateşli Yazıcı, Barış Timur, İsa Can, Tural Muradlı, Alper Selim Kocaoğlu\",\"doi\":\"10.1177/02676591251375717\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>ObjectiveThis study aimed to investigate the prognostic value of the preoperative Inflammatory Prognostic Index (IPI) in predicting late mortality in patients undergoing isolated surgical aortic valve replacement (AVR).MethodsA retrospective, single-center cohort of 400 patients who underwent elective, isolated surgical AVR between 2015 and 2023 was analyzed. The IPI was calculated using the formula: C-reactive protein (CRP) × neutrophil-to-lymphocyte ratio (NLR) / albumin. Patients were stratified into low- and high-IPI groups based on an optimal cut-off value of 0.2588 determined via ROC analysis. Clinical characteristics, operative data, and outcomes were compared. Cox proportional hazards regression was used to identify independent predictors of late mortality.ResultsPatients with high IPI scores (≥0.2588) had significantly increased late mortality compared to those with low IPI (<0.2588) (10.3% vs 2.3%, <i>p</i> < .001). High IPI was associated with elevated CRP and neutrophils, and reduced albumin and lymphocytes. In univariate analysis, age, bioprosthesis use, and high IPI were significantly associated with late mortality. However, in multivariate analysis, only high IPI remained an independent predictor (HR = 3.405, 95% CI: 1.289-8.996, <i>p</i> = .013). Kaplan-Meier survival analysis confirmed lower long-term survival in the high-IPI group (<i>log-rank p</i> < .001).ConclusionPreoperative IPI is a simple, accessible, and independent predictor of late mortality after surgical AVR. 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引用次数: 0
摘要
目的探讨术前炎症预后指数(IPI)对孤立性主动脉瓣置换术(AVR)患者晚期死亡率的预测价值。方法对2015年至2023年间400例选择性孤立性手术AVR患者进行回顾性单中心队列分析。IPI的计算公式为:c反应蛋白(CRP) ×中性粒细胞与淋巴细胞比值(NLR) /白蛋白。根据ROC分析确定的最佳临界值0.2588,将患者分为低ipi组和高ipi组。比较临床特点、手术资料和结果。采用Cox比例风险回归确定晚期死亡率的独立预测因子。结果高IPI患者(≥0.2588)的晚期死亡率明显高于低IPI患者(p < 0.001)。高IPI与CRP和中性粒细胞升高、白蛋白和淋巴细胞减少有关。在单变量分析中,年龄、使用生物假体和高IPI与晚期死亡率显著相关。然而,在多变量分析中,只有高IPI仍然是一个独立的预测因子(HR = 3.405, 95% CI: 1.289-8.996, p = 0.013)。Kaplan-Meier生存分析证实,高ipi组的长期生存率较低(log-rank p < 0.001)。结论术前IPI是预测AVR术后晚期死亡率的一个简单、易行、独立的预测指标。将IPI纳入术前风险评估可改善长期预后分层,指导围手术期管理。
Inflammatory prognostic index predicts late mortality after surgical aortic valve replacement.
ObjectiveThis study aimed to investigate the prognostic value of the preoperative Inflammatory Prognostic Index (IPI) in predicting late mortality in patients undergoing isolated surgical aortic valve replacement (AVR).MethodsA retrospective, single-center cohort of 400 patients who underwent elective, isolated surgical AVR between 2015 and 2023 was analyzed. The IPI was calculated using the formula: C-reactive protein (CRP) × neutrophil-to-lymphocyte ratio (NLR) / albumin. Patients were stratified into low- and high-IPI groups based on an optimal cut-off value of 0.2588 determined via ROC analysis. Clinical characteristics, operative data, and outcomes were compared. Cox proportional hazards regression was used to identify independent predictors of late mortality.ResultsPatients with high IPI scores (≥0.2588) had significantly increased late mortality compared to those with low IPI (<0.2588) (10.3% vs 2.3%, p < .001). High IPI was associated with elevated CRP and neutrophils, and reduced albumin and lymphocytes. In univariate analysis, age, bioprosthesis use, and high IPI were significantly associated with late mortality. However, in multivariate analysis, only high IPI remained an independent predictor (HR = 3.405, 95% CI: 1.289-8.996, p = .013). Kaplan-Meier survival analysis confirmed lower long-term survival in the high-IPI group (log-rank p < .001).ConclusionPreoperative IPI is a simple, accessible, and independent predictor of late mortality after surgical AVR. Integrating IPI into preoperative risk assessment may improve long-term prognostic stratification and guide perioperative management.
期刊介绍:
Perfusion is an ISI-ranked, peer-reviewed scholarly journal, which provides current information on all aspects of perfusion, oxygenation and biocompatibility and their use in modern cardiac surgery. The journal is at the forefront of international research and development and presents an appropriately multidisciplinary approach to perfusion science.