biostudies-literatureCheung JWMichael Wolk Heart FoundationNCATS NIH HHSClinical and Translational Science Center at Weill Cornell MedicineNew York Cardiac Center, Inc.,NIHNew York Weill Cornell Medical Center Alumni Council3035-3043https://www.ebi.ac.uk/biostudies/studies/S-EPMC7963138biostudies-literatureUnknown40(36)<h4>Aims</h4>Although catheter ablation has emerged as an important therapy for patients with symptomatic atrial fibrillation (AF), there are limited data on sex-based differences in outcomes. We sought to compare in-hospital outcomes and 30-day readmissions of women and men undergoing AF ablation.<h4>Methods and results</h4>Using the United States Nationwide Readmissions Database, we analysed patients undergoing AF ablation between 2010 and 2014. Based on ICD-9-CM codes, we identified co-morbidities and outcomes. Multivariable logistic regression and inverse probability-weighting analysis were performed to assess female sex as a predictor of endpoints. Of 54 597 study patients, 20 623 (37.7%) were female. After adjustment for age, co-morbidities, and hospital factors, women had higher ratEuropean heart journalSex-based differences in outcomes, 30-day readmissions, and costs following catheter ablation of atrial fibrillation: the United States Nationwide Readmissions Database 2010-14.PMC7963138UL1 TR002384Cheung JWMarkowitz SMKim LKLiu CFLerman BBYeo IThomas GChristos PJIp JEKamel HCheng EPWu XfalseSex-based differences in outcomes, 30-day readmissions, and costs following catheter ablation of atrial fibrillation: the United States Nationwide Readmissions Database 2010-14.<h4>Aims</h4>Although catheter ablation has emerged as an important therapy for patients with symptomatic atrial fibrillation (AF), there are limited data on sex-based differences in outcomes. We sought to compare in-hospital outcomes and 30-day readmissions of women and men undergoing AF ablation.<h4>Methods and results</h4>Using the United States Nationwide Readmissions Database, we analysed patients undergoing AF ablation between 2010 and 2014. Based on ICD-9-CM codes, we identified co-morbidities and outcomes. Multivariable logistic regression and inverse probability-weighting analysis were performed to assess female sex as a predictor of endpoints. Of 54 597 study patients, 20 623 (37.7%) were female. After adjustment for age, co-morbidities, and hospital factors, women had higher rat2019-01-01T00:00:00Z2019 Sep2025-04-26T00:47:50.792Z2025-04-06T09:48:45.644ZS-EPMC79631383092742310.1093/eurheartj/ehz151