ArticleJournal of community hospital internal medicine perspectives2026
Impact of Atrial Fibrillation on Hospital Outcomes in NSTEMI Patients: A Retrospective Cohort Study.
Article in Journal of community hospital internal medicine perspectives, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Atrial fibrillation (AF) is the most common sustained arrhythmia and frequently occurs in patients with acute coronary syndromes (ACS). Non-ST elevation myocardial infarction (NSTEMI) accounts for nearly 70% of ACS hospitalizations and poses significant morbidity and healthcare burden. Despite its prevalence, the impact of AF on inhospital outcomes in NSTEMI remains underrecognized, and current risk models often exclude AF. Methods: We conducted a retrospective cohort study using de-identified patient-level data from HCA Healthcare, capturing 31,649 NSTEMI admissions across 180 U.S. hospitals (2021-2022). Patients were stratified based on coronary artery bypass grafting (CABG) status. Multivariable logistic and linear regression models evaluated associations between AF and in-hospital mortality, 30-day readmission, and length of stay (LOS). Results: AF was independently associated with worse in-hospital outcomes in both CABG and non-CABG groups. Among CABG patients, AF was linked to increased odds of in-hospital mortality (OR 2.02), 30-day readmission (OR 1.15), and prolonged LOS (OR 1.21). In non-CABG patients, AF was similarly associated with higher odds of mortality (OR 1.89), readmission (OR 1.23), and LOS (OR 1.31) (all p < 0.05). Female sex, heart failure, CKD, and COPD were also linked to adverse outcomes. Conclusion: In this large, multicenter cohort, AF was significantly associated with increased in-hospital mortality, readmission, and LOS among NSTEMI patients, irrespective of CABG status. These findings highlight AF as a key clinical factor warranting consideration in NSTEMI management. Future studies should explore mechanisms underlying these associations and identify strategies for risk mitigation in this high-risk population.
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