Sex Differences in Newly Diagnosed Severe Aortic Stenosis in British Columbia (B.C.)
by
, , ,
Aishwarya Roshan
1,2,
Jeffrey Yim
2,3,
Shamikh Lakhani
1,
Jennifer Wang
1,
Aamiya Sidhu
1,
Eric C. Sayre
3,
Karin Humphries
3,
Janarthanan Sathananthan
3,
David Wood
3,
Michael Y. C. Tsang
2,3,
Darwin F. Yeung
2,3,
Christina Luong
2,3,
Parvathy Nair
2,3,
Kenneth Gin
2,3,
John Jue
2,3,
John G. Webb
3 and
Teresa S. M. Tsang
2,3,* 1
Department of Medicine, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
2
Vancouver General Hospital Artificial Intelligence Echocardiography Core Laboratory, Vancouver, BC V5Z 1M9, Canada
3
Division of Cardiology, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
*
Author to whom correspondence should be addressed.
Diseases 2025, 13(7), 191; https://doi.org/10.3390/diseases13070191
Submission received: 11 April 2025
/
Revised: 29 May 2025
/
Accepted: 20 June 2025
/
Published: 22 June 2025
(This article belongs to the Section Cardiology)
Abstract
Background: Despite 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 the subsequent morbidity and mortality outcomes. Methods: A 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 the variables of interest. Results: A total of 1794 studies met the inclusion criteria, comprising 782 females (44%) and 1012 males (56%). Females were significantly older than males at the time of the first diagnosis (79 versus 75 years, p < 0.001). Females were significantly less likely to be evaluated by the TAVR clinic or 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). Conclusions: Our 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 a more effective identification and follow up of aortic stenosis, as well as timely referral for AVR, where appropriate, especially for females.
1. Introduction
Aortic stenosis (AS) is a common and progressive valvular heart disease worldwide with significant morbidity and mortality [1]. It is well-established in the previous literature that severe aortic stenosis has a high rate of mortality if left untreated [2]. Over the past several years, transcatheter aortic valve replacement (TAVR) has gained traction globally as a safe and effective alternative to surgical aortic valve replacement (SAVR) for patients deemed non-optimal candidates for the latter. TAVR has been shown to provide morbidity and mortality benefits for both women and men [2,3,4,5]. Data on the impact of sex on the practice patterns of AS management and outcomes remains unclear [6]. Vancouver is one of Canada’s pioneering centers for TAVR innovation and implantation. We sought to characterize the effect of sex on specialist referrals; the clinical evaluation for and provision of aortic valve replacement (AVR), including SAVR and TAVR; reasons for non-referral for intervention; and outcomes. We sought to understand the impact of sex on the management of AS to facilitate the improvement of service delivery and cardiovascular outcomes.
2. Materials and Methods
2.1. Study Design and Selection
The study procedure and protocols were designed in accordance with the Declaration of Helsinki and received approval from the University of British Columbia institutional review board. A retrospective chart review was conducted for all patients with a new diagnosis of severe AS between 1 January 2012 and 31 December 2022, at a tertiary care center. Consecutive transthoracic echocardiograms (echo) meeting severe aortic stenosis criteria were obtained from Syngo (version 20), a secure, password-protected imaging archiving system hosting echocardiograms from both facilities between 1 January 2012 and 31 December 2022. Echocardiograms demonstrating severe aortic stenosis were identified using the criterion defined in the 2020 ACC/AHA Guideline for the Management of Patients with Valvular Heart Disease. This included echocardiograms with an aortic maximum velocity greater than or equal to 4 m/s or a mean pressure gradient greater than or equal to 40 mm Hg and an aortic valve area less than or equal 1.0 cm2. Echocardiograms identifying low-flow, low-gradient aortic stenosis and paradoxical low-flow, low-gradient aortic stenosis were also included [1].
Clinical data were abstracted from local electronic medical records. Variables of interest were abstracted including age, sex, and the presence or absence of coronary artery disease, dyslipidemia, previous myocardial infarction, previous heart failure, atrial fibrillation, ischemic stroke, hypertension, chronic kidney disease, permanent pacemaker, peripheral vascular disease, or chronic obstructive pulmonary disease. Symptoms at echocardiogram diagnosis were quantified using the New York Heart Association (NYHA) classification scale for heart failure as well as the Canadian Cardiovascular Society (CCS) angina scoring systems. Patients were classified based on whether they were hospitalized during the time of diagnosis or diagnosed as an outpatient. Decisions surrounding eligibility for SAVR or TAVI were made by a multidisciplinary heart health team. This team consisted of interventional cardiologists, general cardiologists, cardiac surgeons, nurse practitioners, general practitioners, and allied health professionals including physiotherapists, occupational therapists, and social workers. Patients and family members were informed of the risks and benefits of undergoing and not undergoing aortic stenosis intervention prior to personal decision making.
2.2. Clinical Endpoints
Data were collected on the dates of the initial cardiology visit, TAVR consultation referral, TAVR consultation, surgical consultation referral, and surgical consultation and the date of AVR (either TAVR or SAVR). Wait times were calculated, including the time from diagnosis to TAVR/surgical consultation visit, time from diagnosis to AVR, and time from TAVR/SAVR consultation referral to AVR. One-year major adverse cardiovascular outcomes, defined as the development of stroke, persistent atrial fibrillation or flutter, all-cause hospitalization, heart failure hospitalization, or all-cause mortality within one year of the echocardiographic diagnosis of AS, were abstracted from electronic medical records. Reasons for non-referral to both TAVR and surgical consultation, as well as reasons for not receiving TAVR or SAVR, were analyzed and compared between males and females.
2.3. Statistical Analysis
Descriptive statistics were computed for the demographic, baseline, and clinical characteristics of patients. Continuous variables were expressed as the median with the interquartile range, while categorical variables were expressed as the number of events with percentages. Comparisons of demographic, baseline, clinical, and echocardiographic characteristics were made using exact chi-square tests for categorical variables or Kruskal–Wallis tests for continuous data (e.g., time to visit for specialist visits). Analyses were performed using SAS version 9.4 (SAS Institute Inc., Cary, NC, USA). A p-value of <0.05 was considered to be statistically significant. A univariate model analysis was conducted to delineate patient characteristics predictive of receiving TAVI. Variables in the univariate model included demographic data (age, sex, and rurality) and patients’ past medical history, as listed in Table 1. Independent predictors of receiving TAVI from this univariate analysis included advanced age, CKD, female sex, high symptom burden (having NYHA III or IV symptoms and/or CCS 2+ symptoms), and prior stroke. These characteristics were subsequently analyzed in a multivariable analysis.
3. Results
Over a 10-year period (2012–2022), 1794 patients [782 females (44%) and 1012 males (56%)] were identified to have severe AS on echo for the first time. Patient characteristics are summarized in Table 1. Females were significantly older than males at the time of the first diagnosis (79 versus 75, p < 0.001). Males were significantly more likely to have been diagnosed with cardiometabolic comorbidities, including dyslipidemia (57.6% versus 48.1%, p-value < 0.001), coronary artery disease (55.1% versus 47.6%, p-value 0.002), and diabetes (27.7% versus 23.5%, p-value 0.049), whereas females were significantly more likely to have hypertension (74.2% versus 69.1, p-value 0.020).
Whether a patient was assessed by a specialist (cardiologist, TAVR clinic, and/or a surgeon) and/or received intervention (TAVR or SAVR) was tabulated and compared between sexes (Table 2). Males were significantly more likely to be evaluated by a surgeon for the consideration of SAVR (57.1% versus 47.1%, p-value < 0.001); more likely to be evaluated by either a surgeon or the TAVR clinic for the consideration of TAVR or SAVR, respectively (75.5% versus 68.3%, p-value 0.001); and more likely to receive AVR (65.8% versus 52.4%, p-value < 0.001). There was no difference in the median wait times between females and males for specialist evaluation and the receipt of intervention (Table 3).
Along with these differences in specialist care and intervention between the sexes, females were found to have higher rates of 1-year hospitalization and 1-year heart failure hospitalization (Table 4). All findings were highly significant, with all p-values being < 0.015 and most being < 0.001.
The reasons for non-referral to specialist evaluation and not receiving intervention were also examined. Clinician reports on each patient were analyzed by researchers to identify reasons for patient non-referral and/or the non-receipt of intervention. While a patient may have had more than one reason for not being referred or receiving TAVR and/or SAVR, the largest contributing factor, as delineated by the surgeon/interventionalist on their consultation report, was indicated in our analysis. In determining characteristics such as frailty, STS score, or cognitive function, clinicians relied heavily on standardized, objective measures in combination with clinical judgment.
Females were significantly more likely to not be referred to a TAVR clinic for the consideration of TAVR due to older age (4% versus 1%, p-value 0.013) and being asymptomatic (12% versus 8%, p-value 0.027). Being asymptomatic was defined as a lack of symptoms at rest or with exertion as expressed by the patient during their clinic visit. Males were more likely to not be referred to a TAVR clinic for requiring concurrent cardiac surgery (29% versus 24%, p-value < 0.001) (Table 5). There were no significant differences between males and females in non-referral to a SAVR clinic (Table 6).
Females were significantly more likely to be rejected for TAVR on the basis of older age (4% versus 1%, p-value = 0.001), multiple comorbid conditions (13% versus 9%, p-value = 0.031), frailty (5% versus 2%, p-value = 0.004), having poor TAVR anatomy, and having multivalvular heart disease (5% versus 2%, p-value 0.004). Males, on the other hand, were rejected for TAVR on the basis of requiring another concurrent cardiac surgery (30% versus 15%, p-value < 0.001), as well as having a low Society of Thoracic Surgeons (STS) score (21% versus 17%, p-value = 0.063) (Table 7).
Females were also significantly more likely to be rejected for SAVR on the basis of frailty (15% versus 10%, p-value = 0.019) (Table 8).
A multivariable analysis was conducted to evaluate independent predictors of receiving TAVR. Amongst those receiving AVR, females were more likely to receive TAVR compared to their male counterparts [OR of 1.47 (1.07,2.01); p = 0.016] in the multivariate analysis.
4. Discussion
Our data suggests that significant sex differences existed across our large cohort in the management of severe AS. Specifically, males had a higher comorbidity burden compared to females. They were more likely to have dyslipidemia, coronary artery disease, and diabetes, as well as requiring a statin and anti-platelet agent. This is consistent with prior research that suggests that males have more cardiovascular comorbidities including myocardial infarction, stable angina, ischemic stroke, peripheral arterial disease, heart failure, and cardiac arrest [7,8].
However, despite the higher burden of cardiovascular disease amongst males, the literature points to females having higher rates of morbidity and mortality post-acute coronary syndrome diagnosis, particularly within ST elevation myocardial infarctions [9,10,11]. In our study, females were more likely to require hospitalization for heart failure and for other reasons, when compared to males within 1 year of their AS diagnosis.
The diagnosis and treatment of female patients at a more advanced age have long been observed in the context of acute coronary syndrome (ACS) and are the leading explanation for the mortality differences observed between females and males [10]. Females are less likely to undergo diagnostic procedures, such as coronary angiography; less likely to receive treatments, such as percutaneous coronary intervention, coronary artery bypass graft, or optimal medical therapy; and more likely to have prehospital delays in obtaining adequate care for their ACS [10,11,12,13,14,15,16]. Likewise, our study showed that females were less likely to be evaluated by the TAVR clinic or a surgeon and less likely to receive AVR, which may explain the differences in morbidity between the sexes.
Females were significantly less likely to be referred for and/or receive TAVR due to old age. This held the strongest statistical significance out of all reasons. While echocardiographic parameters were not directly analyzed in our paper, our finding of reduced female patient referral coupled with prior research delineating differences in LV structure, function, and hemodynamics between the sexes underlines the importance of developing sex-specific criteria in defining AS severity [17]. The next most important reason for non-intervention in females was frailty. Even amongst individuals who received surgical assessment, females were significantly more likely to be rejected for SAVR on the basis of frailty. The assessment of frailty by clinicians was made through various objective and validated clinical tools including Dalhousie Clinical Frailty Scale and the Edmonton Frail Scale. While clinical judgment played a role, it was informed by standardized frameworks to reduce bias. Both SAVR and TAVR confer significant mortality and morbidity benefits, and thus, understanding the reasons for the lack of treatment is pivotal in enabling physicians to provide optimal care. Both age and frailty are implicated in the lack of intervention in female patients. One of the highest predictors of frailty is advanced age [18]. In our cohort, females were diagnosed with severe AS at a later age, when compared to males. It is unclear whether they developed symptoms earlier, as well. In light of these findings, the consideration of sex-based triaging criteria for intervention for the improvement of outcomes could be considered. One of the most significant reasons for not pursuing SAVR within our cohort was patient preference, which is also identified within the literature amongst female patients [19,20,21,22].
It is prudent to acknowledge the broader social determinants of health, such as access to primary care, socioeconomic status, access to food and shelter, and caregiving support, that greatly contribute to the sex-based differences observed in our study. Females are disproportionately disadvantaged by such social inequities, which inevitably leads to the observed differences in referral patterns, intervention receipt, and cardiovascular outcomes [6]. Future prospective studies examining sex-based differences should assess the influence of socioeconomic factors on disease management and outcomes as a critical research objective.
Despite being a large study, one limitation of our study includes the fact that it was conducted within a single institution with a single electronic medical record. This project therefore does not account for hospitalizations, diagnoses, and events obtained outside of the Vancouver Coastal Health jurisdiction and assumed that the patients of our study only obtained care within this health authority. As part of our future research prospects, we hope to validate our findings within multiple centers in Canada and North America. Moreover, the current study did not analyze whether patients were using SGLT2 inhibitors. The majority of years included in this retrospective review were before the introduction of SLGT2 inhibitors as cardiac medications.
5. Conclusions
There appeared to be significant sex-based discrepancies in the management of AS. Females were diagnosed with severe AS later in life. They were less likely to be evaluated for valve replacement (both TAVR and SAVR), and upon evaluation, they were also less likely to receive this intervention, due to their older age, frailty, and multimorbid conditions. Greater efforts are needed to identify females with severe AS earlier in disease progression. Further research is required to determine whether the lack of referral and receipt of AVR amongst females is an independent predictor of their significantly higher morbidity and mortality outcomes and whether triaging criteria for intervention incorporating sex will improve outcomes for female patients.
Author Contributions
Conceptualization: T.S.M.T., A.R., J.Y., K.G., P.N., J.J., D.F.Y., M.Y.C.T., C.L., K.H., J.G.W., D.W., and J.S.; Methodology: T.S.M.T., A.R., J.Y., K.G., P.N., J.J., D.F.Y., M.Y.C.T., C.L., and K.H.; Data curation, A.R., A.S., S.L., J.W., and J.Y.; Formal analysis, E.C.S.; Original draft preparation: A.R.; Review and editing: T.S.M.T., A.R., J.Y., K.G., P.N., J.J., D.F.Y., M.Y.C.T., C.L., K.H., J.G.W., D.W., and J.S.; Supervision T.S.M.T. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
This study was conducted in accordance with the Declaration of Helsinki and approved by the Institutional Review Board of the University of British Columbia and the Vancouver Coastal Health Research Institute (Protocol code H22-03408, date of approval 6 April 2023.
Informed Consent Statement
Patient consent was waived due to the retrospective nature of this study.
Data Availability Statement
The data presented in this study are available on request from the corresponding author.
Acknowledgments
The corresponding author affirms that everyone listed contributed significantly to this work. The authors had access to all the study data, take responsibility for the accuracy of the analysis, and had authority over this article. The corresponding author confirms that all authors read and approve this article.
Conflicts of Interest
The authors declare no conflict of interest.
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Table 1.
Baseline characteristics (demographics, past medical history, medications) of cohort stratified by sex.
Table 1.
Baseline characteristics (demographics, past medical history, medications) of cohort stratified by sex.
| Variables | Females | Males | p-Value |
|---|---|---|---|
| Demographic | |||
| Age | 78.94 ± 11.31 | 75.12 ± 11.21 | <0.001 |
| Sex | 782 (43.6%) | 1012 (56.4%) | - |
| Rurality | 72/777 (9.3%) | 129/1002(12.9%) | 0.019 |
| Hospitalized at Time of Diagnosis | 222/779 (28.5%) | 276/1006 (7.4%) | 0.632 |
| Past Medical History | |||
| NYHA III/IV | 264/775 (34.1%) | 333/1005 (33.1%) | 0.686 |
| CCS 1+ | 151/775 (19.5%) | 236/1005 (23.5%) | 0.049 |
| Dyslipidemia | 372/774 (48.1%) | 579/1006 (57.6%) | <0.001 |
| Hypertension | 575/775 (74.2%) | 695/1006 (69.1%) | 0.020 |
| Coronary Artery Disease | 369/775 (47.6%) | 555/1007 (55.1%) | 0.002 |
| Previous Myocardial Infarction | 92/774 (11.9%) | 133/1007 (13.2%) | 0.429 |
| Previous Stroke | 125/774 (16.2%) | 152/1006 (15.1%) | 0.553 |
| Previous Heart Failure | 197/774 (25.5%) | 229/1005 (22.8%) | 0.198 |
| Peripheral Vascular Disease | 83/774 (10.7%) | 134/1007 (13.3%) | 0.108 |
| Chronic Obstructive Pulmonary Disorder | 85/774 (11.0%) | 112/1006 (11.1%) | 0.939 |
| Chronic Kidney Disease | 164/774 (21.2%) | 215/1006 (21.4%) | 0.953 |
| Diabetes | 182/774 (23.5%) | 279/1006 (27.7%) | 0.049 |
| Atrial Fibrillation | 227/774 (29.3%) | 263/1006 (26.1%) | 0.148 |
| Permanent Pacemaker | 47/774 (6.1%) | 48/1006 (4.8%) | 0.243 |
| Medications | |||
| Beta-Blocker | 292/762 (38.3%) | 393/990 (39.7%) | 0.587 |
| ACE Inhibitor | 227/762 (29.8%) | 344/990 (34.8%) | 0.031 |
| Angiotensin Receptor Block (ARB) | 151/762 (19.8%) | 131/990 (13.2%) | <0.001 |
| Calcium Channel Blocker | 214/761 (28.1%) | 238/988 (24.1%) | 0.061 |
| Mineralocorticoid Receptor Antagonist | 31/762 (4.1%) | 28/990 (2.8%) | 0.181 |
| Diuretic | 291/761 (38.2%) | 333/991 (33.6%) | 0.050 |
| Digoxin | 35/762 (4.6%) | 28/990 (2.8%) | 0.053 |
| Statin | 316/762 (41.5%) | 546/990 (55.2%) | <0.001 |
| Anti-Platelet | 261/762 (34.3%) | 441/991 (44.5%) | <0.001 |
| Oral Anticoagulant | 179/762 (23.5%) | 203/990 (20.5%) | 0.145 |
Table 2.
Specialist assessment and cardiac intervention stratified by sex.
| Cardiac Consultations | Sex of Patient | |||
|---|---|---|---|---|
| Females | Males | p-Value | Odds Ratios (95% CI) | |
| Seen by Cardiologist | 676/781 (86.6%) | 879/1009 (87.1%) | 0.778 | 1.05 (0.788, 1.397) |
| Seen by TAVR Clinic | 403/777 (51.9%) | 501/1003 (50.0%) | 0.444 | 0.926 (0.764, 1.122) |
| Seen by Surgeon | 368/781 (47.1%) | 575/1007 (57.1%) | <0.001 | 1.494 (1.232, 1.811) |
| Seen by TAVR or Surgeon | 534/782 (68.3%) | 763/1010 (75.5%) | 0.001 | 1.435 (1.159, 1.776) |
| Received AVR | 408/779 (52.4%) | 662/1006 (65.8%) | <0.001 | 1.75 (1.438, 2.129) |
| Type of AVR: | ||||
| None | 371/779 (47.6%) | 344/1006 (34.2%) | <0.001 | None |
| TAVR | 226/779 (29.0%) | 293/1006 (29.1%) | ||
| SAVR | 182/779 (23.4%) | 369/1006 (36.7%) | ||
Table 3.
Wait times stratified by sex.
| Time Intervals (Days) | Median Wait Times | ||
|---|---|---|---|
| Females | Males | p-Value | |
| Time from Echo to Cardiologist Visit | 28 (8–124) | 29 (7–112) | 0.762 |
| Time from Echo to TAVR Clinic Visit | 185 (75–593) | 200 (62–621) | 0.491 |
| Time from Referral to TAVR Clinic Visit | 38 (15–79) | 35 (15–70) | 0.429 |
| Time from Echo to Surgical Consultation | 203 (93–481) | 174 (83–496) | 0.439 |
| Time from Referral to Surgical Consultation | 55 (29–83) | 51 (24–78) | 0.141 |
| Time from Echo to TAVR | 378 (202–836) | 339 (195–823) | 0.223 |
| Time from Echo to SAVR | 307 (178–649) | 354 (186–748) | 0.435 |
| Time from Echo to AVR | 355 (196–750) | 344 (190–768) | 0.591 |
Table 4.
Cardiovascular outcomes stratified by sex.
| Cardiac Outcomes | Sex of Patient | |||
|---|---|---|---|---|
| Females | Males | p-Value | Odds Ratio (95% CI) | |
| 1-Year Mortality | 127/779 (16%) | 157/1006 (16%) | 0.696 | 0.949 (0.73, 1.237) |
| 1-Year Hospitalization | 327 (42%) | 359 (36%) | 0.007 | 0.768 (0.631, 0.935) |
| 1-Year HF Hospitalization | 174/777 (22%) | 176/1004 (18%) | 0.012 | 0.737 (0.579, 0.938) |
| 1-Year Persistent Atrial Fibrillation | 59/777 (8%) | 69/1004 (7%) | 0.58 | 0.898 (0.616, 1.312) |
| 1-Year Stroke | 29/778 (4%) | 27/1004 (3%) | 0.221 | 0.714 (0.403, 1.261) |
Table 5.
Reasons for non-referral to TAVR clinic.
| Reason | Frequency (n) | Female | Male | p-Value |
|---|---|---|---|---|
| Age | 20 | 14/376 (4%) | 6/509 (1%) | 0.013 |
| Multiple comorbid conditions | 92 | 47/376 (13%) | 45/509 (9%) | 0.094 |
| Frailty | 33 | 19/376 (5%) | 14/509 (3%) | 0.105 |
| Limited life expectancy | 23 | 12/376 (3%) | 11/509 (2%) | 0.395 |
| Patient decision | 96 | 43/376 (11%) | 53/509 (10%) | 0.662 |
| Concurrent cardiac surgery required | 191 | 45/376 (24%) | 146/509 (29%) | <0.001 |
| Other | 46 | 21/376 (6%) | 25/509 (5%) | 0.760 |
| Low STS score | 168 | 67/376 (18%) | 101/509 (20%) | 0.488 |
| Poor TAVR anatomy | 2 | 2/376 (1%) | 0/509 (0%) | 0.180 |
| Asymptomatic | 83 | 45/376 (12%) | 38/509 (8%) | 0.027 |
| Cognitive dysfunction | 27 | 15/376 (4%) | 12/509 (2%) | 0.172 |
| Patient passed prior | 42 | 16/376 (4%) | 26/509 (5%) | 0.633 |
| Multivalvular disease | 23 | 15/376 (4%) | 8/509 (2%) | 0.032 |
| Poor functional status | 10 | 5/376 (1%) | 5/509 (1%) | 0.751 |
| Lost to follow up | 29 | 10/376 (3%) | 19/509 (4%) | 0.447 |
Table 6.
Reasons for non-referral to surgical evaluation.
| Reason | Frequency (n) | Female | Male | p-Value |
|---|---|---|---|---|
| Age | 67 | 34/413 (8%) | 33/432 (8%) | 0.800 |
| Multiple comorbid conditions | 235 | 110/413 (27%) | 125/432 (29%) | 0.490 |
| Frailty | 97 | 54/413 (13%) | 43/432 (10%) | 0.132 |
| Limited life expectancy | 26 | 13/413 (3%) | 13/432 (3%) | 1.000 |
| Patient decision | 120 | 57/413 (14%) | 63/432 (15%) | 0.768 |
| Other | 46 | 21/413 (5%) | 25/432 (6%) | 0.762 |
| Poor surgical anatomy | 13 | 8/413 (2%) | 5/432 (1%) | 0.411 |
| Asymptomatic | 85 | 45/413 (11%) | 40/432 (9%) | 0.493 |
| Cognitive dysfunction | 34 | 17/413 (4%) | 17/432 (4%) | 1.000 |
| Patient passed prior | 39 | 15/413 (4%) | 24/432 (6%) | 0.194 |
| Multivalvular disease | 1 | 0/413 (0%) | 1/432 (0%) | 1.000 |
| Too high risk for surgery | 16 | 10/413 (2%) | 6/432 (1%) | 0.319 |
| Poor functional status | 12 | 6/413 (2%) | 6/432 (1%) | 1.000 |
Table 7.
Reasons for not receiving TAVR.
| Reason | Frequency (n) | Female | Male | p-Value |
|---|---|---|---|---|
| Age | 26 | 20/555 (4%) | 6/712 (1%) | 0.001 |
| Multiple comorbid conditions | 141 | 74/555 (13%) | 67/712 (9%) | 0.031 |
| Frailty | 46 | 30/555 (5%) | 16/712 (2%) | 0.004 |
| Limited life expectancy | 31 | 16/555 (3%) | 15/712 (2%) | 0.464 |
| Patient decision | 120 | 55/555 (10%) | 65/712 (9%) | 0.699 |
| Concurrent cardiac surgery required | 298 | 83/555 (15%) | 215/712 (30%) | <0.001 |
| Other | 48 | 22/555 (4%) | 26/712 (4%) | 0.882 |
| Low STS score | 247 | 95/555 (17%) | 152/712 (21%) | 0.063 |
| Poor TAVR anatomy | 32 | 21/555 (4%) | 11/712 (2%) | 0.032 |
| Asymptomatic | 93 | 49/555 (9%) | 44/712 (6%) | 0.082 |
| Cognitive dysfunction | 31 | 17/555 (3%) | 14/712 (2%) | 0.271 |
| Patient passed prior | 71 | 31/555 (6%) | 40/712 (6%) | 1.000 |
| Multivalvular disease | 37 | 25/555 (5%) | 12/712 (2%) | 0.004 |
| Poor functional status | 15 | 7/555 (1%) | 8/712 (1%) | 1.000 |
| Lost to follow up | 31 | 10/555 (2%) | 21/712 (3%) | 0.205 |
Table 8.
Reasons for not receiving SAVR.
| Reason | Frequency (n) | Female | Male | p-Value |
|---|---|---|---|---|
| Age | 91 | 44/594 (7%) | 47/639 (7%) | 1.000 |
| Multiple comorbid conditions | 377 | 179/594 (30%) | 198/639 (31%) | 0.757 |
| Frailty | 152 | 87/594 (15%) | 65/639 (10%) | 0.019 |
| Limited life expectancy | 30 | 14/594 (2%) | 16/639 (3%) | 1.000 |
| Patient decision not to proceed | 153 | 72/594 (12%) | 81/639 (13%) | 0.796 |
| Other | 47 | 21/594 (4%) | 26/639 (4%) | 0.658 |
| Poor surgical anatomy | 42 | 22/594 (4%) | 20/639 (3%) | 0.639 |
| Asymptomatic | 91 | 48/594 (8%) | 43/639 (7%) | 0.385 |
| Cognitive dysfunction | 43 | 21/594 (4%) | 22/639 (3%) | 1.000 |
| Patient passed prior | 47 | 17/594 (3%) | 30/639 (5%) | 0.103 |
| Multivalvular disease | 1 | 0/594 (0%) | 1/639 (0%) | 1.000 |
| Too high risk for surgery | 64 | 28/594 (5%) | 36/639 (6%) | 0.521 |
| Poor functional status | 33 | 16/594 (3%) | 17/639 (3%) | 1.000 |
| Lost to follow up | 31 | 10/594 (2%) | 21/639 (3%) | 0.100 |
| Unclear | 31 | 15/594 (3%) | 16/639 (3%) | 1.000 |
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Roshan, A.; Yim, J.; Lakhani, S.; Wang, J.; Sidhu, A.; Sayre, E.C.; Humphries, K.; Sathananthan, J.; Wood, D.; Tsang, M.Y.C.; et al. Sex Differences in Newly Diagnosed Severe Aortic Stenosis in British Columbia (B.C.). Diseases 2025, 13, 191. https://doi.org/10.3390/diseases13070191
AMA Style
Roshan A, Yim J, Lakhani S, Wang J, Sidhu A, Sayre EC, Humphries K, Sathananthan J, Wood D, Tsang MYC, et al. Sex Differences in Newly Diagnosed Severe Aortic Stenosis in British Columbia (B.C.). Diseases. 2025; 13(7):191. https://doi.org/10.3390/diseases13070191
Chicago/Turabian StyleRoshan, Aishwarya, Jeffrey Yim, Shamikh Lakhani, Jennifer Wang, Aamiya Sidhu, Eric C. Sayre, Karin Humphries, Janarthanan Sathananthan, David Wood, Michael Y. C. Tsang, and et al. 2025. "Sex Differences in Newly Diagnosed Severe Aortic Stenosis in British Columbia (B.C.)" Diseases 13, no. 7: 191. https://doi.org/10.3390/diseases13070191
APA StyleRoshan, A., Yim, J., Lakhani, S., Wang, J., Sidhu, A., Sayre, E. C., Humphries, K., Sathananthan, J., Wood, D., Tsang, M. Y. C., Yeung, D. F., Luong, C., Nair, P., Gin, K., Jue, J., Webb, J. G., & Tsang, T. S. M. (2025). Sex Differences in Newly Diagnosed Severe Aortic Stenosis in British Columbia (B.C.). Diseases, 13(7), 191. https://doi.org/10.3390/diseases13070191
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