ArticleInternational journal of emergency medicine2025
Bioelectrical impedance analysis for evaluation of adverse cardiovascular events in patients with acute coronary syndromes: a prospective cohort study.
Article in International journal of emergency medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- Dietary inflammatory potential and physical activity adherence as synergistic predictors of systemic inflammation in post-myocardial infarction patients: a retrospective cohort study.Frontiers in nutrition · 2026Article
- Machine learning-based early identification of heart failure/congestion complicating acute coronary syndrome using body composition analysis: a retrospective cohort study.Frontiers in cardiovascular medicine · 2026Article
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6 authors.
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Abstract
backgroundBioelectrical impedance analysis (BIA) is a noninvasive method for assessing body fluid composition and may offer prognostic value in patients with acute coronary syndrome (ACS). MATERIALS: In this longitudinal cohort study, we enrolled 467 patients with ACS to investigate the association between BIA-derived parameters and 1-year major adverse cardiac events (MACE), including all-cause mortality, reinfarction, or heart failure (HF) requiring rehospitalization. BIA focused on measuring the electrodynamic properties of intracellular and extracellular fluids.
resultsPatients who developed MACE had significantly higher impedance (Z, calculated as the vector sum of resistance [R] and reactance [Xc]) compared to those without MACE. A Z value of 417.5 was identified as the optimal cutoff for predicting MACE risk (log-rank test, p < 0.001). Using this cutoff, the sensitivity and specificity for predicting MACE were 24.8% and 91.5%, respectively, with an area under the curve (AUC) of 0.60. Elevated Z remained an independent predictor of MACE after adjustment for baseline confounders in both univariate (HR 2.93, 95% CI 1.98-4.35, p < 0.001) and multivariate cox regression analyses (HR 3.95, 95% CI 2.55-6.10, p < 0.001). Incorporating BIA with conventional measures such as LVEF significantly enhanced prognostic accuracy (p < 0.05). Moreover, the Z threshold allowed for refined risk stratification.
conclusionIn ACS patients with elevated troponin, Z showed potential prognostic value for MACE. Combining BIA with LVEF improved prognostic discrimination, suggesting Z may complement LVEF for more comprehensive risk stratification.
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