Vedat Cicek, Almina Erdem, Sahhan Kilic, Burak Tay, Mustafa Kamil Yemis, Solen Taslicukur, Mustafa Oguz, Ahmet Oz, Murat Selcuk, Tufan Cinar, Ulas Bagci
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In-hospital mortality prognostication was assessed using Cox proportional hazards models.</p><p><strong>Results: </strong>A total of 122 patients who were diagnosed with IE were included in the analysis. Overall, 38 patients died during the hospital stay. The patients were categorized into two groups based on their mortality status. The prognostic nutritional index (PNI), platelet-to-lymphocyte ratio (PLR), and modified Glasgow prognostic score (mGPS) were identified as statistically significant predictors of in-hospital mortality. Based on the results of Cox regression analysis, the PNI (hazard ratio [HR]: 0.921, 95% confidence interval [CI]: 0.853-0.994, p = 0.035) emerged as the only independent predictor of in-hospital mortality of IE patients.</p><p><strong>Conclusion: </strong>Nine inflammatory scores were evaluated in this study. The PNI, PLR, and mGPS were statistically significant predictors of in-hospital mortality in patients with IE. 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引用次数: 0
摘要
背景:炎症标志物已被提出作为预测感染性心内膜炎(IE)住院死亡率的预后工具。尽管如此,目前尚不清楚这些标志物是否比现有指标具有额外的预后价值。本研究比较了九种不同的炎症评分,以评估其在增强住院死亡率预测方面的有效性。方法:2017年至2023年间在伊斯坦布尔两家心脏病中心诊断为IE的患者纳入本研究。治疗前炎症标志物从医院电子数据库系统中获取。采用Cox比例风险模型评估住院死亡率预测。结果:共有122例确诊为IE的患者被纳入分析。总共有38名患者在住院期间死亡。根据死亡情况将患者分为两组。预后营养指数(PNI)、血小板与淋巴细胞比率(PLR)和改良格拉斯哥预后评分(mGPS)被确定为具有统计学意义的住院死亡率预测因子。Cox回归分析结果显示,PNI(风险比[HR]: 0.921, 95%可信区间[CI]: 0.853-0.994, p = 0.035)是IE患者住院死亡率的唯一独立预测因子。结论:本研究评估了9个炎症评分。PNI、PLR和mGPS是IE患者住院死亡率有统计学意义的预测因子。PNI被确定为最优分数。
Predictive strength of inflammatory scores for in-hospital mortality in infective endocarditis.
Background: Inflammatory markers have been proposed as prognostic tools for predicting in-hospital mortality in infective endocarditis (IE). Nonetheless, it is unclear whether these markers provide additional prognostic value over established indicators. This study compared nine different inflammation scores to assess their effectiveness in enhancing the prediction of in-hospital mortality.
Methods: Patients with IE diagnosed between 2017 and 2023 at two cardiology centers in Istanbul were included in this study. Pre-treatment inflammatory markers were obtained from the hospital electronic database system. In-hospital mortality prognostication was assessed using Cox proportional hazards models.
Results: A total of 122 patients who were diagnosed with IE were included in the analysis. Overall, 38 patients died during the hospital stay. The patients were categorized into two groups based on their mortality status. The prognostic nutritional index (PNI), platelet-to-lymphocyte ratio (PLR), and modified Glasgow prognostic score (mGPS) were identified as statistically significant predictors of in-hospital mortality. Based on the results of Cox regression analysis, the PNI (hazard ratio [HR]: 0.921, 95% confidence interval [CI]: 0.853-0.994, p = 0.035) emerged as the only independent predictor of in-hospital mortality of IE patients.
Conclusion: Nine inflammatory scores were evaluated in this study. The PNI, PLR, and mGPS were statistically significant predictors of in-hospital mortality in patients with IE. The PNI was identified as the optimal score.
期刊介绍:
Herz is the high-level journal for further education for all physicians interested in cardiology. The individual issues of the journal each deal with specific topics and comprise review articles in English and German written by competent and esteemed authors. They provide up-to-date and comprehensive information concerning the speciality dealt with in the issue. Due to the fact that all relevant aspects of the pertinent topic of an issue are considered, an overview of the current status and progress in cardiology is presented. Reviews and original articles round off the spectrum of information provided.