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ACEF评分与乳酸:心内膜炎瓣膜手术中的生命线预测指标:来自单中心研究的见解

ACEF score and lactate: lifeline predictors in endocarditis valve procedures: insights from a single-center study.

作者信息

Dinges Christian, Kremser Iris, Gansterer Katja, Rodemund Niklas, Steindl Johannes, Hammerer Matthias, Seitelberger Rainald, Hoppe Uta C, Rezar Richard, Boxhammer Elke

机构信息

Department of Cardiovascular and Endovascular Surgery, Paracelsus Medical University of Salzburg, Müllner Hauptstrasse 48, 5020, Salzburg, Austria.

Department of Medical and Chemical Laboratory Diagnostics, Paracelsus Medical University of Salzburg, 5020, Salzburg, Austria.

出版信息

Clin Res Cardiol. 2024 Nov 6. doi: 10.1007/s00392-024-02573-5.

DOI:10.1007/s00392-024-02573-5
PMID:39503866
Abstract

OBJECTIVES

This study aimed to assess the prognostic value of routinely collected laboratory parameters, specifically lactate, troponin-T, and CK-MB, in predicting mortality in patients with surgically treated endocarditis. Additionally, the study evaluated the effectiveness of two mortality scores, EuroSCORE II and ACEF II Score, in this clinical context.

METHODS

We retrospectively analyzed data from 130 patients diagnosed with endocarditis who underwent surgery at a single tertiary center over nine years. The study utilized preoperative mortality scores and laboratory parameters collected within the first 24 h post-surgery. Statistical analyses included AUROC curves, Kaplan-Meier survival analyses, and correlation analyses to determine predictive values and associations with patient outcomes.

RESULTS

Among the 130 patients, 28 (21.5%) died within one year post-surgery. Elevated postoperative lactate levels were significantly associated with increased short- and long-term mortality, with AUROC values indicating strong predictive capability. The ACEF II Score also demonstrated significant predictive value for mortality at various time points, outperforming EuroSCORE II. Higher lactate levels and ACEF II Scores correlated with increased hazard ratios for mortality. Kaplan-Meier analyses revealed significant survival differences based on lactate and ACEF II Score thresholds.

CONCLUSION

Postoperative lactate levels and the ACEF II Score are robust predictors of mortality in patients undergoing cardiac surgery for endocarditis. Integrating these parameters into clinical practice can enhance risk stratification and guide therapeutic decisions, improving patient outcomes through personalized care. Further studies are needed to validate these findings across diverse populations and explore additional biomarkers for refined predictive accuracy.

摘要

目的

本研究旨在评估常规收集的实验室参数,特别是乳酸、肌钙蛋白-T和肌酸激酶同工酶(CK-MB),在预测接受手术治疗的心内膜炎患者死亡率方面的预后价值。此外,本研究还评估了两种死亡率评分,即欧洲心脏手术风险评估系统(EuroSCORE)II和急性心脏事件风险评估(ACEF)II评分,在此临床背景下的有效性。

方法

我们回顾性分析了130例诊断为心内膜炎并在一家三级中心接受了九年手术的患者的数据。该研究使用了术前死亡率评分和术后24小时内收集的实验室参数。统计分析包括曲线下面积(AUROC)曲线、Kaplan-Meier生存分析和相关性分析,以确定预测值以及与患者预后的关联。

结果

在这130例患者中,28例(21.5%)在术后一年内死亡。术后乳酸水平升高与短期和长期死亡率增加显著相关,AUROC值表明其具有很强的预测能力。ACEF II评分在各个时间点也显示出对死亡率的显著预测价值,优于EuroSCORE II。较高的乳酸水平和ACEF II评分与死亡率的风险比增加相关。Kaplan-Meier分析显示,基于乳酸和ACEF II评分阈值存在显著的生存差异。

结论

术后乳酸水平和ACEF II评分是接受心内膜炎心脏手术患者死亡率的有力预测指标。将这些参数纳入临床实践可以加强风险分层并指导治疗决策,通过个性化护理改善患者预后。需要进一步研究以在不同人群中验证这些发现,并探索其他生物标志物以提高预测准确性。

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The Surgical Treatment of Infective Endocarditis: A Comprehensive Review.感染性心内膜炎的外科治疗:综述
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Prediction of lactate concentrations after cardiac surgery using machine learning and deep learning approaches.使用机器学习和深度学习方法预测心脏手术后的乳酸浓度。
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Current Challenges in the Management of Infective Endocarditis.感染性心内膜炎管理中的当前挑战
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Cardiac troponin and infective endocarditis prognosis: a systematic review and meta-analysis.心肌肌钙蛋白与感染性心内膜炎预后:系统评价和荟萃分析。
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