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. Author manuscript; available in PMC: 2023 Aug 3.
Published in final edited form as: Circ Cardiovasc Imaging. 2022 Aug 3;15(8):e014034. doi: 10.1161/CIRCIMAGING.122.014034

Sex Differences in the Impact of Aortic Valve Calcium Score on Mortality after TAVR

Parth P Patel a, Abdallah El Sabbagh b, Patrick W Johnson c, Rayan Suliman b, Najiyah Salwa b, Andrea Carolina Morales-Lara b, Peter Pollak b, Mohamad Yamani b, Pragnesh Parikh b, Sushilkumar K Sonavane d, Carolyn Landolfo b, Mohamad Adnan Alkhouli e, Mackram F Eleid e, Mayra Guerrero e, F David Fortuin f, John Sweeney f, Peter A Noseworthy e, Rickey E Carter c, Demilade Adedinsewo b
PMCID: PMC9397521  NIHMSID: NIHMS1823358  PMID: 35920157

Abstract

Background:

Transcatheter aortic valve replacement (TAVR) is now an approved alternative to surgical aortic valve replacement for the treatment of severe aortic stenosis. As the clinical adoption of TAVR expands, it remains important to identify predictors of mortality after TAVR. We aimed to evaluate the impact of sex differences in aortic valve calcium score (AVCS) on long term mortality following TAVR in a large patient sample.

Methods:

We included consecutive patients who successfully underwent TAVR for treatment of severe native aortic valve stenosis from June 2010 to May 2021 across all US Mayo Clinic sites with follow-up through July 2021. AVCS values were obtained from preoperative computed tomography of the chest. Additional clinical data were abstracted from medical records. Kaplan Meier curves and Cox-proportional hazard regression models were employed to evaluate the effect of aortic valve calcium score on long-term mortality.

Results:

A total of 2,543 patients were evaluated in the final analysis. Forty-one percent were women, median age was 82 years (Q1: 76, Q3: 86), 18.4% received a permanent pacemaker following TAVR and 88.5% received a balloon expandable valve. We demonstrate an increase in mortality risk with higher AVCS after multivariable adjustment (p<0.001). When stratified by sex, every 500-unit increase in AVCS was associated with a 7% increase in mortality risk among women (adjusted HR: 1.07, 95% CI: 1.02, 1.12) but not in men.

Conclusions:

We demonstrate a notable sex difference in the association between aortic valve calcium score and long-term mortality in a large TAVR patient sample. This study highlights the potential value of AVCS in pre-procedural risk stratification, specifically among women undergoing TAVR. Additional studies are needed to validate this finding.

Keywords: Aortic Stenosis, Calcium Score, Mortality, Sex differences, TAVR

Journal Subject Terms: Women, Sex and Gender, Valvular Heart Disease, Computerized Tomography, Aortic Valve Replacement/Transcatheter Aortic Valve Implantation, Disparities, Mortality/Survival

INTRODUCTION

Transcatheter aortic valve replacement (TAVR) has been approved as a safe alternative to surgical aortic valve replacement (SAVR) across multiple patient risk levels for the treatment of severe aortic stenosis.1-3 As the utilization of TAVR expands, it remains important to identify factors that influence the risk for adverse events. Historical and contemporary cardiovascular trials typically include fewer women leading to a limited evidence base for evaluating women with cardiovascular disease4, 5. The data regarding mortality after TAVR in women have produced conflicting results. Some studies have indicated worse 30-day mortality among women, largely due to increased bleeding and vascular complications. 6-8 In other studies, female sex has been demonstrated to be associated with decreased mortality following TAVR. 9-12 This underscores the importance of identifying sex dependent risk factors which impact mortality after TAVR.

The aortic valve calcium score (AVCS) measured on computed tomography scans, performed as part of the pre-TAVR evaluation, has been identified as an important contributor to the development of severe aortic stenosis and peri-prosthetic aortic regurgitation13, 14, as well as a risk factor for coronary artery disease progression15. However, women with calcific aortic stenosis are known to have lower AVCS values when compared to men at similar degrees of severity16-18. Hence, the objective of this study was to evaluate sex differences in the impact of AVCS on long-term mortality following TAVR. We hypothesize that AVCS values differentially impact mortality among women compared to men.

METHODS

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Design

This was a retrospective cohort study which included consecutive patients who underwent a TAVR procedure performed at US Mayo Clinic sites (Rochester, MN, Jacksonville, FL, Phoenix, AZ and Mayo Clinic Health Systems) from June 2010 through May 2021 with follow up for outcomes through July 2021. This study was approved by the Mayo Clinic Institutional Review Board (IRB). This study was deemed exempt by the IRB and due to the retrospective nature of the study informed consent was not required.

Study Population

We included all patients aged 18 years and older who had a TAVR procedure during the pre-specified period. Eligibility for TAVR, valve type, size, and access route were determined by the managing team. Patients with an unsuccessful procedure, missing variables, or previous aortic valve replacement (AVR) were excluded from analysis.

Measures

Our primary predictors of interest were sex and AVCS obtained from pre-procedure computed tomography (CT) of the chest reported in Agatston units (AU). All sites performed an AVCS scan prior to the CT angiography of chest, abdomen and pelvis using a standard protocol. Prospective ECG-gated noncontrast CT scans of chest were performed between 65-85% R-R interval, with tube voltage of 120 kVp, and tube current ranging between 80-150 mAs. The images were acquired from the carina through the entire heart and reconstructed at 3mm slice thickness at 1.5 - 2 mm intervals in soft tissue kernel. Imaging was performed on a range of scanners (Siemens- Edge, Definition Flash, Force; GE- Optima 660, Discovery 750HD), and the scanner specific calcium score software was used to calculate AVCS (Siemens- Syngovia; GE- Smartscore). The AVCS was measured by a trained CT technologist and further verified by the interpreting radiologist for accuracy. Caution was needed to exclude the adjacent non-valvular calcifications involving the aorta, coronary arteries, and mitral annulus. Aortic annulus measurements were calculated using multiplanar reformats at the level of most inferior points of the coronary cusp attachments to the aortic root as previously described19. The AVCS and aortic annulus measurements were obtained from the original scan report that were read by a consensus of expert cardiothoracic radiologists in conjunction with a cardiologist. Studies have shown the relationship between AVCS and the degree of aortic stenosis severity varies by sex, as such we aimed to evaluate if the effect of AVCS on long-term mortality differs by sex. The distribution of AVCS, aortic valve annulus area and AVCS density (defined as AVCS/aortic annulus area) stratified by sex is provided in Figure 1. In order to identify a clinically important cut-off value for AVCS in each sex category, we fit a spline to AVCS values for each sex and identified an inflection point occurred around the median values within each sex category, as such we also evaluated AVCS categorized by sex-based median values into high (> 1680 AU in females and >2786 AU in males) vs. low.

Figure 1. Histograms showing distributions of aortic annulus area, aortic valve calcium score and aortic valve calcium score density.

Figure 1

AU – Agatston units

Covariates including age, pre-TAVR aortic valve hemodynamics (peak velocity, mean gradient, calculated valve area and stroke volume index) on echocardiography, left ventricular ejection fraction (LVEF), valve type, valve size, baseline ECG features, pacemaker placement, post TAVR aortic valve variables (aortic valve acceleration time, mean gradient and presence of peri-valvular leak), Society for Thoracic Surgeons (STS) predicted risk of surgical mortality score, and comorbid conditions, were extracted from medical records. The Charlson comorbidity index was calculated which has been validated for predicting mortality20. The presence of a left bundle branch block (LBBB) was categorized into 3 levels: old LBBB (present prior to TAVR), new LBBB (new following TAVR) and no LBBB. The presence of a permanent pacemaker was also categorized into 3 levels: prior pacemaker (placed prior to TAVR procedure), new pacemaker (placed following TAVR procedure) and no pacemaker. We also identified patients whose indication for a pacemaker following the procedure was believed to be TAVR related. Our primary study endpoint was all-cause mortality.

Analysis

Categorical variables were described as frequencies and percents and continuous variables as median and interquartile range (Q1, Q3). Bivariate analyses were performed stratified by sex using Wilcoxon rank sum tests for numerical variables and Pearson’s chi-square tests for categorical variables. We evaluated predictor variables for adherence to the proportional hazards (PH) assumption using Kaplan Meier curves, an extended Cox approach with time-dependent variables, and a correlation of the Schoenfeld residuals with ranked follow-up time. Kaplan Meier analysis and Cox-proportional hazard (Cox PH) regression models were employed to evaluate the sex-specific effect of AVCS on mortality. An interaction term between sex AVCS was initially evaluated and then sex-stratified analysis were generated. In order to control for multiple variables in adjusted Cox PH models as well as ensuring an effective, yet parsimonious model, a propensity score was created using a gradient boosted logistic regression model and the propensity score was then included as a covariate in the final model. Variables included in the propensity score were age, pre-TAVR peak aortic valve velocity, pre-TAVR calculated valve area, pre-TAVR stroke volume index, pre-TAVR LVEF, pacemaker implantation, LBBB, Charlson comorbidity index, STS predicted risk of surgical mortality, TAVR access type, valve type, procedure site and post-TAVR peri-valvular leak based on bivariate analysis, clinical plausibility, and prior literature showing pacemaker implantation and LBBB to be key predictors of mortality following TAVR.21. Given lower AVCS values22 and smaller aortic annulus area in women23, AVCS density and sex-specific AVCS percentiles were also evaluated in relation to mortality. All statistical analyses were performed using R version 4.0.3 (Vienna, Austria)24 and a p-value of <0.05 was considered statistically significant.

RESULTS

A total of 3,021 patients were evaluated for inclusion, 32 were excluded due to an unsuccessful or no TAVR procedure performed, 433 due to missing AVCS, 6 due to procedure being performed at a non-Mayo Clinic site and 7 due to previous aortic valve replacement. Ultimately, as demonstrated by Figure 2, 2,543 patients were included in the final analysis. The median follow-up time overall was 2.3 years (Q1: 1.0 years; Q3: 4.2 years) and 459 and 316 deaths were observed during follow up in males and females, respectively.

Figure 2. Study flow diagram.

Figure 2

AVCS – Aortic valve calcium score; AVR – Aortic valve replacement

Table 1 shows descriptive information for the study sample stratified by sex. The median age was 82 years and 41% were female. Three hundred and forty patients (13.4%) had a permanent pacemaker prior to the TAVR procedure and 467 (18.4%) had a new permanent pacemaker placed post-procedure, with 442 of those being related to the TAVR procedure. Women undergoing a TAVR procedure had higher rates of pre- and post-procedural LBBB, smaller valve sizes, lower AVCS, and lower rates of pre- and post-procedural pacemaker implantation (Table 1). We also provide a distribution of categorical TAVR valve sizes by sex in supplemental table 1.

Table 1.

Patient demographic and clinical characteristics

Characteristics Female
n= 1,041 (%)
Male
n= 1,502 (%)
Overall
n= 2,543 (%)
p-value
Age* 82.1 (76.1, 86.7) 81.6 (75.9, 86.2) 81.7 (76.0, 86.4) 0.10
Follow-Up Time (years)* 2.5 (1.1, 4.3) 2.2 (0.9, 4.1) 2.3 (1.0, 4.2) 0.010
Conduction Disturbances Pre-procedure
   1st degree AV block 160 (15.4) 336 (22.4) 496 (19.5) <0.001
   Mobitz type 1 AV block 1 (0.1) 4 (0.3) 5 (0.2) 0.34
   Mobitz type 2 AV block 1 (0.1) 0 (0.0) 1 (0.0) 0.23
   3rd degree AV block 1 (0.1) 1 (0.1) 2 (0.1) 0.79
   LBBB 78 (7.5) 69 (4.6) 147 (5.8) 0.002
   RBBB 87 (8.4) 248 (16.5) 335 (13.2) <0.001
   Atrial fibrillation/flutter 194 (18.6) 362 (24.1) 556 (21.9) 0.001
Conduction Disturbances Post-procedure
   1st degree AV block 212 (20.4) 383 (25.5) 595 (23.4) 0.003
   Mobitz type 1 AV block 2 (0.2) 5 (0.3) 7 (0.3) 0.50
   Mobitz type 2 AV block 0 (0.0) 0 (0.0) 0 (0.0)
   3rd degree AV block 13 (1.2) 26 (1.7) 39 (1.5) 0.33
   LBBB 248 (23.8) 289 (19.2) 537 (21.1) 0.005
   RBBB 85 (8.2) 203 (13.5) 288 (11.3) <0.001
   Atrial fibrillation/flutter 202 (19.4) 375 (25.0) 577 (22.7) <0.001
Valve Type 0.046
   Edwards Sapien 905 (86.9) 1346 (89.6) 2251 (88.5)
   Medtronic CoreValve 136 (13.1) 154 (10.3) 290 (11.4)
   Other 0 (0.0) 2 (0.1) 2 (0.1)
Valve Size (mm)* 23.0 (23.0, 26.0) 26.0 (26.0, 29.0) 26.0 (23.0, 29.0) <0.001
Annulus Size (largest diameter in mm)* 25.5 (24.0, 27.0) 29.0 (27.1, 31.0) 27.7 (25.6, 29.7) <0.001
Annulus Area (cm2)* 4.1 (3.7, 4.5) 5.3 (4.8, 5.8) 4.8 (4.1, 5.5) <0.001
Annulus Perimeter (mm)* 74.0 (70.0, 78.0) 84.0 (79.6, 88.5) 80.0 (74.0, 86.0) <0.001
Aortic Valve Calcium Score (AU) * 1680.0 (1166.0, 2348.3) 2786.0 (2067.2, 3708.2) 2312.0 (1569.0, 3201.5) <0.001
Pacemaker Status <0.001
   No Pacemaker 762 (73.2) 974 (64.8) 1736 (68.3)
   Prior Pacemaker 126 (12.1) 214 (14.2) 340 (13.4)
   New Pacemaker 153 (14.7) 314 (20.9) 467 (18.4)
   TAVR related 146 (95.4) 296 (94.3) 442 (94.6) 0.60
Pacemaker Type after TAVR 0.68
   Single Chamber (RV only) 21 (13.7) 36 (11.5) 57 (12.2)
   Dual Chamber 114 (74.5) 229 (72.9) 343 (73.4)
   Biventricular (CRT) 8 (5.2) 22 (7.0) 30 (6.4)
   Leadless (Micra) 10 (6.5) 27 (8.6) 37 (7.9)
Perivalvular Regurgitation or Leak prior to discharge (Yes) 783 (75.2) 1126 (75.0) 1909 (75.1) 0.89
Perivalvular Regurgitation or Leak Severity 0.78
   Trivial or Mild 677 (86.5) 969 (86.0) 1646 (86.2)
   Moderate 104 (13.3) 153 (13.6) 257 (13.5)
   Severe 2 (0.3) 5 (0.4) 7 (0.4)
Pre-TAVR Echocardiographic Measures
   Aortic valve peak velocity (m/s)* 4.2 (4.0, 4.6) 4.2 (3.9, 4.5) 4.2 (3.9, 4.5) <0.001
   Aortic valve mean pressure gradient (mmHg)* 44.0 (38.0, 53.0) 42.0 (36.0, 49.0) 43.0 (37.0, 50.0) <0.001
   Aortic valve Doppler velocity index (velocity ratio)* 0.2 (0.2, 0.3) 0.2 (0.2, 0.2) 0.2 (0.2, 0.2) <0.001
   Aortic valve Doppler velocity index (TVI ratio)* 0.2 (0.2, 0.2) 0.2 (0.2, 0.2) 0.2 (0.2, 0.2) <0.001
   Aortic valve area (cm2)* 0.8 (0.7, 0.9) 0.9 (0.8, 1.0) 0.8 (0.7, 0.9) <0.001
   Stroke volume index (ml/m2) * 45.0 (39.0, 51.0) 43.0 (37.0, 49.0) 44.0 (38.0, 50.0) <0.001
   Left ventricular ejection fraction (%) * 64.0 (57.0, 68.0) 60.0 (50.0, 65.0) 61.0 (53.0, 66.0) <0.001
Post-TAVR Echocardiographic Measures
   Aortic prosthetic valve acceleration time (ms)* 86.0 (74.0, 98.0) 85.0 (76.0, 95.0) 85.0 (75.0, 96.8) 0.78
   Aortic prosthetic valve mean pressure gradient (mmHg)* 12.0 (10.0, 15.0) 11.0 (9.0, 14.0) 12.0 (9.0, 14.0) 0.002
   Aortic prosthetic valve dimensionless velocity index (velocity ratio)* 0.5 (0.4, 0.5) 0.5 (0.4, 0.5) 0.5 (0.4, 0.5) 0.87
   Aortic prosthetic valve dimensionless velocity index (TVI ratio)* 0.5 (0.4, 0.5) 0.5 (0.4, 0.5) 0.5 (0.4, 0.5) 0.60
Charlson Comorbidities
   Myocardial Infarction 53 (5.1) 135 (9.0) 188 (7.4) <0.001
   Congestive Heart Failure 264 (25.4) 438 (29.2) 702 (27.7) 0.037
   Peripheral Vascular Disease 273 (26.3) 480 (32.0) 753 (29.7) 0.002
   Cerebrovascular Disease 108 (10.4) 190 (12.7) 298 (11.7) 0.082
   Dementia 16 (1.5) 34 (2.3) 50 (2.0) 0.200
   Chronic Pulmonary Disease 189 (18.2) 288 (19.2) 477 (18.8) 0.530
   Ulcer 11 (1.1) 12 (0.8) 23 (0.9) 0.500
   Mild Liver Disease 39 (3.8) 75 (5.0) 114 (4.5) 0.140
   Diabetes 270 (26.0) 435 (29.0) 705 (27.8) 0.098
   Diabetes with Organ Damage 94 (9.1) 175 (11.7) 269 (10.6) 0.036
   Hemiplegia 2 (0.2) 8 (0.5) 10 (0.4) 0.180
   Moderate to Severe Renal Disease 217 (20.9) 365 (24.3) 582 (22.9) 0.043
   Moderate to Severe Liver Disease 11 (1.1) 29 (1.9) 40 (1.6) 0.082
   Metastatic Solid Tumor 21 (2.0) 40 (2.7) 61 (2.4) 0.30
   AIDs 0 (0.0) 0 (0.0) 0 (0.0)
   Rheumatologic Disease 81 (7.8) 62 (4.1) 143 (5.6) <0.001
   Cancer (Other) 130 (12.5) 283 (18.9) 413 (16.3) <0.001
Charlson Comorbidity Index* 2.0 (0.0, 3.8) 2.0 (0.0, 4.0) 2.0 (0.0, 4.0) <0.001
STS Risk Score for Mortality* 5.6 (3.6, 9.0) 4.7 (2.9, 7.9) 5.0 (3.2, 8.2) <0.001
Access Type 0.96
   Transfemoral 914 (87.8) 1317 (87.7) 2231 (87.8)
   Other 127 (12.2) 184 (12.3) 311 (12.2)
*

Median (Q1, Q3); AV – Atrioventricular; LBBB – Left bundle branch block; RBBB – Right bundle branch block; AU – Agatston units

Proportion of those receiving new pacemaker who had it placed due to new conduction disturbance developed post TAVR.

All-Cause Mortality

Kaplan Meier analysis in the overall sample showed a median survival of 5.75 (95% CI: 5.35, 6.20) years. This association between AVCS and mortality was different when stratified by sex-based median values (log rank p <0.001), with lower survival seen among those with high AVCS values. This difference was driven mostly by women as a sex stratified KM analysis showed a significant difference among women (log rank p<0.001) and a non-significant effect among men (log rank p=0.087) (Figure 3A, B, and C, Supplemental figure 1). The overall median survival time in women was 5.9 years and 5.5 years in men. Among women with high AVCS values, the median survival time was 4.9 years compared to 6.7 years for women with low AVCS values.

Figure 3A. Kaplan Meier analysis showing survival probability of the entire cohort stratified by high vs. low AVCS category.

Figure 3A

AVCS category is based on sex-specific median values; high AVCS category is > 1,680 Agatston units for women and > 2,786 Agatston units for men. P <0.001. AVCS – Aortic valve calcium score

Figure 3B. Kaplan Meier analysis showing survival probability among females stratified by high vs. low AVCS category.

Figure 3B

High AVCS category is > 1,680 Agatston units. P <0.001. AVCS – Aortic valve calcium score

Figure 3C. Kaplan Meier analysis showing survival probability among males stratified by high vs. low AVCS category.

Figure 3C

High AVCS category is > 2,786 Agatston units. P = 0.087. AVCS – Aortic valve calcium score

In unadjusted Cox-PH models, age, permanent pacemaker, Charlson comorbidity index-used as a proxy for comorbid conditions, pre-TAVR aortic valve peak velocity, pre-TAVR stroke volume index, pre-TAVR left ventricular ejection fraction, STS predicted risk of surgical mortality score, TAVR access type, procedure site and post-TAVR perivalvular leak - were associated with increased instantaneous risk of death (Supplemental table 2). Overall, men tended to have a higher mortality risk compared to women (HR: 1.11, 95% CI: 0.96, 1.28) but this did not reach statistical significance (p=0.150). We assessed for interaction between sex and AVCS and the p-value for the interaction term between sex and AVCS category was 0.086 suggesting likely effect modification by sex (at a p-value significance level of 0.10) which was also suggested by the initial Kaplan Meier analysis. As such, a sex-stratified analysis was also reported and AVCS remained significantly associated with mortality in women (Table 2). In propensity score adjusted models, AVCS remained an independent predictor of mortality in the overall patient sample and among women. Each 500 unit increase in AVCS was associated with a 7% increase in the instantaneous risk of death among women (adjusted HR: 1.07, 95% CI: 1.02, 1.12; p=0.004) but not in men (adjusted HR: 1.02, 95% CI: 0.99, 1.06; p= 0.24) (Table 2). When evaluating AVCS categories, high AVCS was associated with a 58% increase in the instantaneous risk of death among women (adjusted HR: 1.58, 95% CI: 1.22, 2.06; p<0.001) but not in men (adjusted HR: 1.13, 95% CI: 0.92, 1.39; p= 0.23) (Table 3). Hazard ratio estimates were also calculated for AVCS percentiles (for a 10% increase) and for the impact of AVCS on 30-day mortality and this showed a similar magnitude of effect and direction for men and women (Supplemental table 3 and 4).

Table 2.

Cox-proportional hazards regression model showing the impact of aortic valve calcium score on long-term mortality (for the entire cohort, stratified by sex and year of TAVR procedure)

TAVR year Patients N Deaths Follow-Up (Years) * cHR (95% CI) P-value aHR (95% CI) P-value
All Patients (2010 – 2021)
All 2543 801 2.30 (0.99, 4.17) 1.04 (1.02, 1.06) <0.001 1.06 (1.02, 1.11) 0.004
Male 1502 478 2.17 (0.90, 4.07) 1.03 (1.00, 1.06) 0.090 1.02 (0.99, 1.06) 0.24
Female 1041 323 2.51 (1.12, 4.33) 1.07 (1.02, 1.11) 0.002 1.07 (1.02, 1.12) 0.004
2010 - 2016
All 956 549 4.68 (2.21, 5.89) 1.04 (1.01, 1.07) 0.004 1.04 (0.99, 1.10) 0.14
Male 551 321 4.66 (2.04, 5.81) 1.03 (1.00, 1.07) 0.059 1.02 (0.98, 1.06) 0.37
Female 405 228 4.77 (2.69, 5.96) 1.05 (1.00, 1.10) 0.049 1.07 (1.01, 1.13) 0.030
2017 - 2021
All 1,587 252 1.69 (0.78, 2.84) 1.04 (1.00, 1.08) 0.081 1.10 (1.03, 1.17) 0.006
Male 951 157 1.60 (0.75, 2.75) 1.00 (0.95, 1.06) 0.93 1.04 (0.97, 1.10) 0.29
Female 636 95 1.80 (0.83, 2.94) 1.08 (1.01, 1.16) 0.018 1.08 (1.01, 1.16) 0.034
*

Median (Q1, Q3)

Crude/unadjusted hazard ratios estimated for a 500-unit increase in aortic valve calcium score

Propensity score adjusted hazard ratios estimated for a 500-unit increase in aortic valve calcium score

Propensity score included age, pre-TAVR peak aortic valve velocity, pre-TAVR calculated valve area, pre-TAVR stroke volume index, pre-TAVR LVEF, pacemaker implantation, LBBB, Charlson comorbidity index, STS predicted risk of surgical mortality, TAVR access type, valve type, procedure site and post-TAVR peri-valvular leak.

LBBB – Left bundle branch block; LVEF – Left ventricular ejection fraction; TAVR – Transcatheter aortic valve replacement; STS – Society for thoracic surgeons

Table 3.

Cox-proportional hazards regression model showing the impact of aortic valve calcium score category (high vs. low) on long-term mortality (for the entire cohort, stratified by sex and year of TAVR procedure)

TAVR year Patients N Deaths Follow-Up (Years) * cHR (95% CI) P-value aHR (95% CI) P-value
All Patients (2010 – 2021)
All 2543 801 2.30 (0.99, 4.17) 1.29 (1.13, 1.49) <0.001 1.51 (1.18, 1.92) <0.001
Male 1502 478 2.17 (0.90, 4.07) 1.17 (0.98, 1.40) 0.088 1.13 (0.92, 1.39) 0.23
Female 1041 323 2.51 (1.12, 4.33) 1.50 (1.20, 1.87) <0.001 1.58 (1.22, 2.06) <0.001
2010 - 2016
All 956 549 4.68 (2.21, 5.89) 1.32 (1.11, 1.56) 0.001 1.42 (1.06, 1.91) 0.018
Male 551 321 4.66 (2.04, 5.81) 1.24 (0.99, 1.54) 0.060 1.12 (0.87, 1.43) 0.37
Female 405 228 4.77 (2.69, 5.96) 1.44 (1.11, 1.88) 0.007 1.67 (1.21, 2.30) 0.002
2017 - 2021
All 1,587 252 1.69 (0.78, 2.84) 1.21 (0.94, 1.55) 0.13 1.69 (1.11, 2.59) 0.016
Male 951 157 1.60 (0.75, 2.75) 1.04 (0.76, 1.42) 0.82 1.26 (0.88, 1.81) 0.21
Female 636 95 1.80 (0.83, 2.94) 1.53 (1.02, 2.30) 0.040 1.51 (0.96, 2.39) 0.073
*

Median (Q1,Q3)

Crude/unadjusted hazard ratios estimated for aortic valve calcium score category (high vs. low)

Propensity score adjusted hazard ratios estimated for aortic valve calcium score category (high vs. low)

Propensity score included age, pre-TAVR peak aortic valve velocity, pre-TAVR calculated valve area, pre-TAVR stroke volume index, pre-TAVR LVEF, pacemaker implantation, LBBB, Charlson comorbidity index, STS predicted risk of surgical mortality, TAVR access type, valve type, procedure site and post-TAVR peri-valvular leak.

LBBB – Left bundle branch block; LVEF – Left ventricular ejection fraction; TAVR – Transcatheter aortic valve replacement; STS – Society for thoracic surgeons

Year of TAVR Valve Implantation

A temporal analysis was performed for the years 2010 – 2016 compared to 2017 – 2021 in order to indirectly account for older vs. newer generation valves. In the 2010 – 2016 cohort, we showed that a 500-unit increase in AVCS remained associated with mortality among women but not in men. In the 2017 – 2021 cohort, we noticed a similar trend with a significant increase in mortality for each 500-unit change in AVCS among women (p=0.034) (Table 2). However, the increased mortality seen did not reach statistical significance when AVCS category was evaluated for the 2017 – 2021 time-period (p=0.073) (Table 3). This may be due to the reduced follow up time in the 2017 - 2021 cohort. The median follow-up time for the 2010 – 2016 cohort was 4.68 years compared to 1.69 years in the 2017 – 2021 cohort.

AVCS Density

Given lower AVCS for a given degree of aortic stenosis in addition to small aortic valve annulus in women additional analyses were performed to evaluate the impact of AVCS density on mortality. We demonstrated AVCS density to also be significantly associated with mortality in a similar fashion as described above. A higher mortality risk was seen with every 100-unit increase in AVCS density among women (adjusted HR: 1.06, 95% CI: 1.01, 1.11; p=0.011) with a non-significant increase in risk among men (adjusted HR: 1.03, 95% CI: 0.99, 1.08; p=0.17). (Table 4). When stratified by year of TAVR procedure, the direction of effect was similar but this did not reach statistical significance.

Table 4.

Cox-proportional hazards regression model showing the impact of aortic valve calcium score density on long-term mortality (for the entire cohort, stratified by sex and year of TAVR procedure)

TAVR year All patients N Deaths Follow-Up (Years) * cHR (95% CI) P-value aHR (95% CI) P-value
All Patients (2010 – 2021)
Overall 2400 689 2.25 (0.97, 4.06) 1.05 (1.02, 1.07) 0.001 1.06 (1.01, 1.11) 0.009
Male 1419 413 2.15 (0.92, 4.02) 1.03 (0.99, 1.07) 0.099 1.03 (0.99, 1.08) 0.17
Female 981 276 2.44 (1.10, 4.11) 1.06 (1.02, 1.10) 0.006 1.06 (1.01, 1.11) 0.011
2010 - 2016
Overall 823 440 4.78 (2.39, 5.83) 1.05 (1.02, 1.09) 0.003 1.04 (0.98, 1.11) 0.16
Male 475 258 4.79 (2.20, 5.76) 1.06 (1.01, 1.10) 0.015 1.04 (0.99, 1.10) 0.12
Female 348 182 4.78 (2.71, 5.89) 1.05 (0.99, 1.11) 0.095 1.07 (1.00, 1.14) 0.055
2017 - 2021
Overall 1577 249 1.69 (0.79, 2.84) 1.03 (0.98, 1.08) 0.27 1.08 (1.01, 1.15) 0.017
Male 944 155 1.62 (0.75, 2.76) 0.98 (0.91, 1.05) 0.51 1.01 (0.93, 1.09) 0.90
Female 633 94 1.80 (0.83, 2.94) 1.07 (1.01, 1.14) 0.034 1.07 (1.00, 1.14) 0.060
*

Median (Q1,Q3)

Crude/unadjusted hazard ratios estimated for a 100-unit increase in aortic valve calcium score density

Propensity score adjusted hazard ratios estimated for a 100-unit increase in aortic valve calcium score density

Propensity score included age, pre-TAVR peak aortic valve velocity, pre-TAVR calculated valve area, pre-TAVR stroke volume index, pre-TAVR LVEF, pacemaker implantation, LBBB, Charlson comorbidity index, STS predicted risk of surgical mortality, TAVR access type, valve type, procedure site and post-TAVR peri-valvular leak.

LBBB – Left bundle branch block; LVEF – Left ventricular ejection fraction; TAVR – Transcatheter aortic valve replacement; STS – Society for thoracic surgeons

DISCUSSION

This study demonstrates that the impact of AVCS on mortality after TAVR differs by sex. (1) A stronger and statistically significant association was seen with increasing AVCS and higher mortality risk in women but not in men; (2) after adjusting for multiple covariates, the relationship between AVCS and mortality remained significant in women; (3) the median survival following TAVR was 5.8 years overall (5.9 years in women and 5.5 years in men). When stratified by AVCS categories (high vs. low), the median survival was 4.9 years vs. 6.7 years, respectively, among women (p<0.001) and 5.3 years vs. 6.4 years among men (p=0.087). No prior studies have evaluated sex-specific differences in the relationship between AVCS (measured on CT) and long-term mortality following TAVR.

Prior studies evaluating AVCS and 30-day mortality following TAVR have been conflicting. Small studies with first-generation balloon-expandable and self-expanding valves demonstrated an association between AVCS and 30-day mortality, while studies evaluating newer valve generations showed no association25-28. These studies were limited by a small sample size with no long-term follow-up. Thomassen et al. evaluated visually assessed aortic valve calcification with echocardiography among patients with asymptomatic AS and found an association with increased mortality only in men but not in women29, which is the opposite of the findings from our study. This was however based on a qualitative assessment of aortic valve calcification and their findings may be related to lower aortic valve calcium load in women, likely leading to underestimation of valve calcification by visual assessment. A higher degree of aortic valve calcification is known be associated with greater severity of AS30, 31 and women have lower AVCS than men at equivalent degrees of AS severity16. Furthermore, recent work has shown that the main predictor of aortic valve calcification progression is baseline AVCS22; however, the authors also demonstrated sex-specific differences in the progression of aortic valve calcification, with hypertension being associated with increased progression in women while dyslipidemia was associated with increased progression in men.

Sex-specific differences in AVCS and AS severity have been previously described, with severe AS corresponding with AVCS greater than 1,274 AU in women, and greater than 2,065 AU in men.32 These AVCS cut-off values representing severe AS were also shown to be associated with increased mortality among those who were managed medically (i.e. without AVR) in both men and women32. More recently, sex-specific cut-off values (1,377 AU in women; 2,062 AU in men) were shown to predict AVR and death in an international registry of 918 patients33. However, Mendes et al. analyzed sex-specific AVCS values in a group of patients evaluated for TAVR and found that its discriminative ability for ruling out severe AS (values <800 AU) was poor in women, with a negative predictive value of 43%34. As such, we performed a sex-stratified analysis and generated separate effect estimates for men and women.

Sex differences in mortality following TAVR have varied in the literature. A large study from a German registry of over 25,000 patients who underwent TAVR between 2011-2014 found that women who underwent transfemoral TAVR had lower in-hospital mortality compared to men (odds ratio: 0.87, CI: 0.77-1.00)7. In contrast to these findings, a study of the National Inpatient Sample database from 2012-2015 with 61,239 patients found that women had increased in-hospital mortality following TAVR compared to men (adjusted odds ratio: 1.25, 95% CI: 1.01-1.54)6. With regard to long-term mortality, data from the Transcatheter Valve Therapy Registry included 23,652 patients and demonstrated lower one-year mortality among women (adjusted hazard ratio: 0.73; 95% CI: 0.63, 0.85) compared to men12 whereas a cohort of 683 patients in Australia who underwent TAVR showed that long term mortality (up to ten years) was similar between men and women35. In our study, we found no statistically significant difference in overall mortality for women compared to men in our study, although the direction of this effect was lower for women (p=0.15). Additionally, the analysis of TAVR procedures done between 2010-2016 and 2017-2021, suggests that the use of newer generation valves may not clearly impact the differential mortality between the sexes related to increasing AVCS. However, subsequent analyses allowing for a longer follow up time among patients with newer generation valves is needed to confirm or refute these findings. One hypothesis to explain the sex-specific impact of AVCS on mortality observed in our study is the differences in left ventricular adaptation to aortic stenosis and pressure overload with increasing AVCS in women compared to men36, 37. Additional studies are needed to further evaluate mechanistic factors that explain this association.

Conclusion

Our study contributes to the existing body of literature further highlighting sex-specific differences in outcomes following TAVR and suggests that identifying sex-specific risk factors can better guide pre-procedural risk stratification and potentially pre-procedure planning. Whether the decreased mortality among women noted in prior studies is related to lower AVCS remains unclear. Our results suggest consideration of AVCS values as an important risk factor for mortality, particularly among women undergoing TAVR. We also highlight the need to develop a composite risk assessment tool (similar to the STS risk score) that evaluates multiple metrics known to predict mortality following TAVR including AVCS, which would be extremely useful as part of pre-TAVR procedure planning. Previously identified risk factors for mortality in the TAVR population include age38, atrial fibrillation39, COPD40 coronary disease41, frailty42, low body weight41, poor functional status41, renal failure39 and left ventricular dysfunction39.

A major strength of our study is a fairly large patient sample with longer follow-up times which adds essential information to the literature regarding long-term mortality after TAVR. Limitations of this study include its observational nature within a singular health system, as such mortality occurring outside of these hospitals may have been missed. We evaluated all-cause mortality and are unable to ascertain if the differences seen hold true for death from cardiovascular causes alone. We also acknowledge that our sample (patients undergoing TAVR only) comprises only a subset of aortic stenosis patients, leading to some selection bias as surgical patients are excluded. Unfortunately, the aortic valve calcium burden among surgically treated AS patients is not frequently assessed. As such, the literature regarding its impact on survival is limited in the surgical population. In addition, data on bleeding events following TAVR was not assessed which may potentially contribute to differences in short-term mortality, however, this effect is likely to be attenuated by the longer duration of follow-up.

In conclusion, we demonstrate that the impact of AVCS on mortality is modified by sex with increasing AVCS values being more strongly associated with higher mortality risk among women following TAVR.

Supplementary Material

Supplemental Publication Material

Clinical Perspective:

The purpose of this study was to evaluate the effect of sex on the relationship between aortic valve calcium score and long-term mortality among adult patients undergoing transcatheter aortic valve replacement (TAVR). Among 2,543 patients evaluated, 41% were women and median age was 82 years. We demonstrate for the first time, a sex-specific difference in long term mortality where a higher aortic valve calcium score prior to TAVR was associated with increased mortality risk in women but not in men. This suggests that aortic valve calcium score should be considered as a sex-specific risk factor for mortality among patients undergoing TAVR and highlights the need to develop risk assessment tools incorporating sex-specific variables prior to TAVR.

SOURCES OF FUNDING

This study was made possible using resources supported by the Mayo Clinic Women's Health Research Center and the Mayo Clinic Building Interdisciplinary Research Careers in Women’s Health (BIRCWH) Program funded by the National Institutes of Health (NIH) [grant number K12 HD065987]. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

ABBREVIATIONS

AVCS

Aortic valve calcium score

AVR

Aortic valve replacement

AU

Agatston units

BIRCWH

Building Interdisciplinary Research Careers in Women’s Health

COPD

Chronic obstructive pulmonary disease

CT

Computed tomography

KM

Kaplan Meier

LBBB

Left bundle branch block

LVEF

Left ventricular ejection fraction

TAVR

Transcatheter aortic valve replacement

NIH

National Institutes of Health

SAVR

Surgical aortic valve replacement

STS

Society for thoracic surgeons

Footnotes

DISCLOSURES

None

REFERENCES

  • 1.Mack MJ, Leon MB, Thourani VH, Makkar R, Kodali SK, Russo M, Kapadia SR, Malaisrie SC, Cohen DJ, Pibarot P, et al. Transcatheter Aortic-Valve Replacement with a Balloon-Expandable Valve in Low-Risk Patients. N Engl J Med. 2019;380:1695–1705. [DOI] [PubMed] [Google Scholar]
  • 2.Popma JJ, Deeb GM, Yakubov SJ, Mumtaz M, Gada H, O'Hair D, Bajwa T, Heiser JC, Merhi W, Kleiman NS, et al. Transcatheter Aortic-Valve Replacement with a Self-Expanding Valve in Low-Risk Patients. N Engl J Med. 2019;380:1706–1715. [DOI] [PubMed] [Google Scholar]
  • 3.Puri R, Chamandi C, Rodriguez-Gabella T and Rodes-Cabau J. Future of transcatheter aortic valve implantation - evolving clinical indications. Nat Rev Cardiol. 2018;15:57–65. [DOI] [PubMed] [Google Scholar]
  • 4.Nguyen QD, Peters E, Wassef A, Desmarais P, Remillard-Labrosse D and Tremblay-Gravel M. Evolution of Age and Female Representation in the Most-Cited Randomized Controlled Trials of Cardiology of the Last 20 Years. Circ Cardiovasc Qual Outcomes. 2018;11:e004713. [DOI] [PubMed] [Google Scholar]
  • 5.Gurwitz JH, Col NF and Avorn J. The exclusion of the elderly and women from clinical trials in acute myocardial infarction. JAMA. 1992;268:1417–22. [PubMed] [Google Scholar]
  • 6.Amgai B, Chakraborty S, Bandyopadhyay D, Gupta M, Patel N, Hajra A, Dey AK, Koirala S, Ghosh RK, Aronow WS, et al. Sex Differences in In-Hospital Outcomes of Transcatheter Aortic Valve Replacement. Curr Probl Cardiol. 2021;46:100694. [DOI] [PubMed] [Google Scholar]
  • 7.Kaier K, von Zur Muhlen C, Zirlik A, Schmoor C, Roth K, Bothe W, Hehn P, Reinohl J, Zehender M, Bode C, et al. Sex-Specific Differences in Outcome of Transcatheter or Surgical Aortic Valve Replacement. Can J Cardiol. 2018;34:992–998. [DOI] [PubMed] [Google Scholar]
  • 8.Pighi M, Piazza N, Martucci G, Lachapelle K, Perrault LP, Asgar AW, Lauck S, Webb JG, Popma JJ, Kim DH, et al. Sex-Specific Determinants of Outcomes After Transcatheter Aortic Valve Replacement. Circ Cardiovasc Qual Outcomes. 2019;12:e005363. [DOI] [PubMed] [Google Scholar]
  • 9.Hayashida K, Morice MC, Chevalier B, Hovasse T, Romano M, Garot P, Farge A, Donzeau-Gouge P, Bouvier E, Cormier B, et al. Sex-related differences in clinical presentation and outcome of transcatheter aortic valve implantation for severe aortic stenosis. J Am Coll Cardiol. 2012;59:566–71. [DOI] [PubMed] [Google Scholar]
  • 10.Cramariuc D, Rogge BP, Lønnebakken MT, Boman K, Bahlmann E, Gohlke-Bärwolf C, Chambers JB, Pedersen TR and Gerdts E. Sex differences in cardiovascular outcome during progression of aortic valve stenosis. Heart. 2015;101:209–214. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Humphries KH, Toggweiler S, Rodes-Cabau J, Nombela-Franco L, Dumont E, Wood DA, Willson AB, Binder RK, Freeman M, Lee MK, et al. Sex differences in mortality after transcatheter aortic valve replacement for severe aortic stenosis. J Am Coll Cardiol. 2012;60:882–6. [DOI] [PubMed] [Google Scholar]
  • 12.Chandrasekhar J, Dangas G, Yu J, Vemulapalli S, Suchindran S, Vora AN, Baber U, Mehran R and Registry SAT. Sex-Based Differences in Outcomes With Transcatheter Aortic Valve Therapy: TVT Registry From 2011 to 2014. J Am Coll Cardiol. 2016;68:2733–2744. [DOI] [PubMed] [Google Scholar]
  • 13.Azzalini L, Ghoshhajra BB, Elmariah S, Passeri JJ, Inglessis I, Palacios IF and Abbara S. The aortic valve calcium nodule score (AVCNS) independently predicts paravalvular regurgitation after transcatheter aortic valve replacement (TAVR). J Cardiovasc Comput Tomogr. 2014;8:131–40. [DOI] [PubMed] [Google Scholar]
  • 14.Yared K, Garcia-Camarero T, Fernandez-Friera L, Llano M, Durst R, Reddy AA, O'Neill WW and Picard MH. Impact of aortic regurgitation after transcatheter aortic valve implantation: results from the REVIVAL trial. JACC Cardiovasc Imaging. 2012;5:469–77. [DOI] [PubMed] [Google Scholar]
  • 15.Shimizu K, Yamamoto M, Koyama Y, Kodama A, Sato H, Kano S, Teramoto T, Kimura M, Sawada K and Goto Y. Usefulness of routine aortic valve calcium score measurement for risk stratification of aortic stenosis and coronary artery disease in patients scheduled cardiac multislice computed tomography. IJC heart & vasculature. 2015;9:95–99. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Aggarwal SR, Clavel MA, Messika-Zeitoun D, Cueff C, Malouf J, Araoz PA, Mankad R, Michelena H, Vahanian A and Enriquez-Sarano M. Sex differences in aortic valve calcification measured by multidetector computed tomography in aortic stenosis. Circ Cardiovasc Imaging. 2013;6:40–7. [DOI] [PubMed] [Google Scholar]
  • 17.Thaden JJ, Nkomo VT, Suri RM, Maleszewski JJ, Soderberg DJ, Clavel MA, Pislaru SV, Malouf JF, Foley TA, Oh JK, et al. Sex-related differences in calcific aortic stenosis: correlating clinical and echocardiographic characteristics and computed tomography aortic valve calcium score to excised aortic valve weight. Eur Heart J. 2016;37:693–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Nguyen V, Mathieu T, Melissopoulou M, Cimadevilla C, Codogno I, Huart V, Duval X, Vahanian A and Messika-Zeitoun D. Sex differences in the progression of aortic stenosis and prognostic implication: the COFRASA-GENERAC study. JACC Cardiovasc Imaging. 2016;9:499–501. [DOI] [PubMed] [Google Scholar]
  • 19.Cheruvu C, Blanke P and Leipsic J. Imaging the Aortic Annulus with Multi-Detector Computed Tomography and 3-Dimensional Transesophageal Echocardiography. Interv Cardiol Clin. 2015;4:23–37. [DOI] [PubMed] [Google Scholar]
  • 20.D'Hoore W, Sicotte C and Tilquin C. Risk adjustment in outcome assessment: the Charlson comorbidity index. Methods Inf Med. 1993;32:382–7. [PubMed] [Google Scholar]
  • 21.Sammour Y, Krishnaswamy A, Kumar A, Puri R, Tarakji KG, Bazarbashi N, Harb S, Griffin B, Svensson L, Wazni O, et al. Incidence, Predictors, and Implications of Permanent Pacemaker Requirement After Transcatheter Aortic Valve Replacement. JACC Cardiovasc Interv. 2021;14:115–134. [DOI] [PubMed] [Google Scholar]
  • 22.Diederichsen A, Lindholt JS, Møller JE, Gerke O, Rasmussen LM and Dahl JS. Sex Differences in Factors Associated With Progression of Aortic Valve Calcification in the General Population. Circ Cardiovasc Imaging. 2022;15:e013165. [DOI] [PubMed] [Google Scholar]
  • 23.Hamdan A, Barbash I, Schwammenthal E, Segev A, Kornowski R, Assali A, Shaviv E, Fefer P, Goitein O, Konen E, et al. Sex differences in aortic root and vascular anatomy in patients undergoing transcatheter aortic valve implantation: A computed-tomographic study. J Cardiovasc Comput Tomogr. 2017;11:87–96. [DOI] [PubMed] [Google Scholar]
  • 24.R Core Team R. R: A language and environment for statistical computing. 2013. [Google Scholar]
  • 25.Akodad M, Lattuca B, Agullo A, Macia JC, Gandet T, Marin G, Iemmi A, Vernhet H, Schmutz L, Nagot N, et al. Prognostic Impact of Calcium Score after Transcatheter Aortic Valve Implantation Performed With New Generation Prosthesis. Am J Cardiol. 2018;121:1225–1230. [DOI] [PubMed] [Google Scholar]
  • 26.Guimaraes L, Ferreira-Neto AN, Urena M, Nombela-Franco L, Wintzer-Wehekind J, Levesque MH, Himbert D, Fischer Q, Armijo G, Vera R, et al. Transcatheter aortic valve replacement with the balloon-expandable SAPIEN 3 valve: Impact of calcium score on valve performance and clinical outcomes. Int J Cardiol. 2020;306:20–24. [DOI] [PubMed] [Google Scholar]
  • 27.Gamet A, Chatelin A, Mergy J, Becat P, Roumegou P and Christiaens L. Does Aortic Valve Calcium Score Still Predict Death, Cardiovascular Outcomes, and Conductive Disturbances after Transcatheter Aortic Valve Replacement with New-Generation Prostheses? J Cardiovasc Echogr. 2020;30:88–92. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Leber AW, Kasel M, Ischinger T, Ebersberger UH, Antoni D, Schmidt M, Riess G, Renz V, Huber A, Helmberger T, et al. Aortic valve calcium score as a predictor for outcome after TAVI using the CoreValve revalving system. Int J Cardiol. 2013;166:652–7. [DOI] [PubMed] [Google Scholar]
  • 29.Thomassen HK, Cioffi G, Gerdts E, Einarsen E, Midtbø HB, Mancusi C and Cramariuc D. Echocardiographic aortic valve calcification and outcomes in women and men with aortic stenosis. Heart. 2017;103:1619–1624. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Liu F, Coursey CA, Grahame-Clarke C, Sciacca RR, Rozenshtein A, Homma S and Austin JH. Aortic valve calcification as an incidental finding at CT of the elderly: severity and location as predictors of aortic stenosis. AJR Am J Roentgenol. 2006;186:342–9. [DOI] [PubMed] [Google Scholar]
  • 31.Messika-Zeitoun D, Aubry MC, Detaint D, Bielak LF, Peyser PA, Sheedy PF, Turner ST, Breen JF, Scott C, Tajik AJ, et al. Evaluation and clinical implications of aortic valve calcification measured by electron-beam computed tomography. Circulation. 2004;110:356–62. [DOI] [PubMed] [Google Scholar]
  • 32.Clavel MA, Pibarot P, Messika-Zeitoun D, Capoulade R, Malouf J, Aggarval S, Araoz PA, Michelena HI, Cueff C, Larose E, et al. Impact of aortic valve calcification, as measured by MDCT, on survival in patients with aortic stenosis: results of an international registry study. J Am Coll Cardiol. 2014;64:1202–13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Pawade T, Clavel M-A, Tribouilloy C, Dreyfus J, Mathieu T, Tastet L, Renard C, Gun M, Jenkins WSA and Macron L. Computed tomography aortic valve calcium scoring in patients with aortic stenosis. Circ Cardiovasc Imaging. 2018;11:e007146. [DOI] [PubMed] [Google Scholar]
  • 34.Sa Mendes G, Ferreira A, Freitas P, Abecasis J, Campante Teles R, De Araujo Goncalves P, Ribeiras R, Santos A, Trabulo M, Silva C, et al. Calcium score of the aortic valve as a predictor of aortic stenosis severity. Eur Heart J Cardiovasc Imaging. 2021;22. [Google Scholar]
  • 35.Stehli J, Dagan M, Zaman S, Koh JQS, Quine E, Gouskova N, Crawford C, Dong M, Nanayakkara S, Htun NM, et al. Impact of Gender on Transcatheter Aortic Valve Implantation Outcomes. Am J Cardiol. 2020;133:98–104. [DOI] [PubMed] [Google Scholar]
  • 36.Carroll JD, Carroll EP, Feldman T, Ward DM, Lang RM, McGaughey D and Karp RB. Sex-associated differences in left ventricular function in aortic stenosis of the elderly. Circulation. 1992;86:1099–107. [DOI] [PubMed] [Google Scholar]
  • 37.Petrov G, Regitz-Zagrosek V, Lehmkuhl E, Krabatsch T, Dunkel A, Dandel M, Dworatzek E, Mahmoodzadeh S, Schubert C, Becher E, et al. Regression of myocardial hypertrophy after aortic valve replacement: faster in women? Circulation. 2010;122:S23–8. [DOI] [PubMed] [Google Scholar]
  • 38.Attinger-Toller A, Ferrari E, Tueller D, Templin C, Muller O, Nietlispach F, Toggweiler S, Noble S, Roffi M, Jeger R, et al. Age-Related Outcomes After Transcatheter Aortic Valve Replacement. JACC Cardiovasc Interv. 2021;14:952–960. [DOI] [PubMed] [Google Scholar]
  • 39.Duncan A, Ludman P, Banya W, Cunningham D, Marlee D, Davies S, Mullen M, Kovac J, Spyt T and Moat N. Long-Term Outcomes After Transcatheter Aortic Valve Replacement in High-Risk Patients With Severe Aortic Stenosis. JACC Cardiovasc Interv. 2015;8:645–653. [DOI] [PubMed] [Google Scholar]
  • 40.Navarese EP, Andreotti F, Kołodziejczak M, Wanha W, Lauten A, Veulemans V, Frediani L, Kubica J, de Cillis E, Wojakowski W, et al. Age-Related 2-Year Mortality After Transcatheter Aortic Valve Replacement: the YOUNG TAVR Registry. Mayo Clin Proc. 2019;94:1457–1466. [DOI] [PubMed] [Google Scholar]
  • 41.Arnold Suzanne V, O’Brien Sean M, Vemulapalli S, Cohen David J, Stebbins A, Brennan JM, Shahian David M, Grover Fred L, Holmes David R, Thourani Vinod H, et al. Inclusion of Functional Status Measures in the Risk Adjustment of 30-Day Mortality After Transcatheter Aortic Valve Replacement. JACC Cardiovas Interv. 2018;11:581–589. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Schoenenberger Andreas W, Moser A, Bertschi D, Wenaweser P, Windecker S, Carrel T, Stuck Andreas E and Stortecky S. Improvement of Risk Prediction After Transcatheter Aortic Valve Replacement by Combining Frailty With Conventional Risk Scores. JACC Cardiovasc Interv. 2018;11:395–403. [DOI] [PubMed] [Google Scholar]

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