Sex-differences in Newly Diagnosed Severe Aortic Stenosis in British Columbia (B.C.) between 2012 - 2022
Roshan, A.; Yim, J.; Lakhani, S.; Wang, J.; Sidhu, A.; Sayre, E. C.; Humphries, K.; Sathananthan, J.; Wood, D. A.; Tsang, M. Y.-C.; Yeung, D. F.; Luong, C.; Nair, P.; Gin, K.; Jue, J.; Webb, J. G.; Tsang, T. S. M.
Show abstract
BackgroundDespite its high prevalence, little is known about the effect of sex on the management and outcomes of aortic stenosis (AS). We sought to characterize the effect of sex on the clinical evaluation for and provision of aortic valve replacement (AVR), including surgical (SAVR) and transcatheter aortic valve replacement (TAVR), and subsequent morbidity and mortality outcomes. MethodsA comprehensive chart review was conducted on all patients with a first diagnosis of severe aortic stenosis (AS) at Vancouver General and University of British Columbia Hospitals from 2012 to 2022. Exact chi-square and Kruskal-Wallis tests were used to evaluate variables of interest. ResultsA total of 1794 studies met inclusion criteria, comprising 782 females (44%) and 1012 males (56%). Females were significantly older than males at the time of first diagnosis (79 versus 75 years, p<0.001). Females were significantly less likely to be evaluated by the TAVR clinic, cardiac surgeon, or to receive aortic valve intervention (p-value[≤]0.001). Females were significantly more likely to be rejected for TAVR due to older age (OR 0.23 (0.07, 0.59)), comorbid conditions (OR 0.68 (0.47, 0.97)), and frailty (OR 0.23 (0.07, 0.59)). Females were significantly more likely to be rejected for SAVR on the basis of frailty (OR 0.66 (0.46, 0.94)). Females also had significantly higher rates of 1-year mortality, hospitalization, and heart failure hospitalization compared to males (p-values < 0.05). ConclusionOur data suggest significant sex-based discrepancies in the management of AS. Females with severe AS are diagnosed later in life and are less likely to be evaluated for valve intervention. They are less likely to receive intervention due to older age, frailty, and multimorbid conditions. Further research is warranted for more effective identification and follow up of aortic stenosis as well as timely referral for AVR, where appropriate, especially of females.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Prognostic Value of Patient-Reported Outcomes in Predicting Long-term Mortality after Transcatheter Aortic Valve Replacement (TAVR) 97%
- An International Longitudinal Natural History Study of Danon Disease Patients: Unique Cardiac Trajectories Identified Based on Sex and Heart Failure Outcomes 96%
- Influence of Sex and Race/ Ethnicity on Major Adverse Cardiovascular Outcomes Following Coronary Artery Bypass Surgery in a Large Integrated Healthcare System 96%
Similar papers in this journal
- Prognostic value of compact myocardial thinning in patients with left ventricular non-compaction 96%
- Investigating Electrocardiographic Abnormalities in Patients with Coronary Microvascular Dysfunction 95%
- Sex-Related Outcomes of Transcatheter Aortic Valve Implantation with Self-Expanding or Balloon-Expandable Valves: Insights from the OPERA-TAVI Registry 95%
Similar papers in this journal
- Inpatient Outcomes Of Mechanical Circulatory Support Devices and Bridging to Transplantation in Hypertrophic Cardiomyopathy 97%
- Early left ventricular systolic function is a more sensitive predictor of adverse events after heart transplant 95%
- Association of Heart Failure Subtypes and Atrial fibrillation: Data from the Atherosclerosis Risk in Communities (ARIC) Study 94%
Similar papers in this journal
- Pacemaker implantation after cardiac surgery: a contemporary, nationwide perspective 95%
- Inequalities in access to and outcomes of cardiac surgery in England: retrospective analysis of Hospital Episode Statistics (2010-2019) 93%
- Evaluation of Indicators of Reproducibility and Transparency in Published Cardiology Literature 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.