Bioelectrical impedance analysis for evaluation of adverse cardiovascular events in patients with acute coronary syndromes: a prospective cohort study
Year: 2025
Type: article
Study design: Observational Study
Abstract: BACKGROUND: Bioelectrical 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. RESULTS: Patients 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. CONCLUSION: In 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.
Institution: First Hospital of Jilin University
Language: English
Subfield: Physiology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,090
Award: G8686134536
OpenAlex ID: W4415730366