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

Christian Dinges* (First author), Iris Kremser, Katja Gansterer (Co-author), Rodemund Niklas (Co-author), Johannes Steindl (Co-author), Matthias Hammerer (Co-author), Rainald Seitelberger (Co-author), Uta Hoppe (Co-author), Richard Rezar (Co-author), Elke Boxhammer (Last author)

*Corresponding author for this work

Research output: Contribution to journalOriginal Articlepeer-review

Abstract

ObjectivesThis 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.MethodsWe 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.ResultsAmong 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.ConclusionPostoperative 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.
Original languageEnglish
Number of pages21
JournalCLINICAL RESEARCH IN CARDIOLOGY : OFFICIAL JOURNAL OF THE GERMAN CARDIAC SOCIETY
Early online dateNov 2024
DOIs
Publication statusPublished - 6 Nov 2024

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