Skip to main content
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease logoLink to Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
. 2019 Oct 31;8(21):e013685. doi: 10.1161/JAHA.119.013685

Temporal Trends and Clinical Outcomes of Transcatheter Aortic Valve Replacement in Nonagenarians

Amgad Mentias 1, Marwan Saad 2, Milind Y Desai 3, Phillip A Horwitz 1, James D Rossen 1, Sidakpal Panaich 1, Ayman Elbadawi 4, Abdul Qazi 1, Paul Sorajja 5, Hani Jneid 6, Samir Kapadia 3, Barry London 1, Mary S Vaughan Sarrazin 1,7,
PMCID: PMC6898796  PMID: 31668118

Abstract

Background

Contemporary outcomes of transcatheter aortic valve replacement (TAVR) in nonagenarians are unknown.

Methods and Results

We identified 13 544 nonagenarians (aged 90–100 years) who underwent TAVR between 2012 and 2016 using Medicare claims. Generalized estimating equations were used to study the change in short‐term outcomes among nonagenarians over time. We compared outcomes between nonagenarians and non‐nonagenarians undergoing TAVR in 2016. A mixed‐effect multivariable logistic regression was performed to determine predictors of 30‐day mortality in nonagenarians in 2016. A center was defined as a high‐volume center if it performed ≥100 TAVR procedures per year. After adjusting for changes in patients’ characteristics, risk‐adjusted 30‐day mortality declined in nonagenarians from 9.8% in 2012 to 4.4% in 2016 (P<0.001), whereas mortality for patients <90 years decreased from 6.4% to 3.5%. In 2016, 35 712 TAVR procedures were performed, of which 12.7% were in nonagenarians. Overall, in‐hospital mortality in 2016 was higher in nonagenarians compared with younger patients (2.4% versus 1.7%, P<0.05) but did not differ in analysis limited to high‐volume centers (2.2% versus 1.7%; odds ratio: 1.33; 95% CI, 0.97–1.81; P=0.07). Important predictors of 30‐day mortality in nonagenarians included in‐hospital stroke (adjusted odds ratio [aOR]: 8.67; 95% CI, 5.03–15.00), acute kidney injury (aOR: 4.11; 95% CI, 2.90–5.83), blood transfusion (aOR: 2.66; 95% CI, 1.81–3.90), respiratory complications (aOR: 2.96; 95% CI, 1.52–5.76), heart failure (aOR: 1.86; 95% CI, 1.04–3.34), coagulopathy (aOR: 1.59; 95% CI, 1.12–2.26; P<0.05 for all).

Conclusions

Short‐term outcomes after TAVR have improved in nonagenarians. Several procedural complications were associated with increased 30‐day mortality among nonagenarians.

Keywords: elderly, nonagenarians, outcome, transcatheter aortic valve implantation

Subject Categories: Aortic Valve Replacement/Transcather Aortic Valve Implantation


Clinical Perspective

What Is New?

  • Thirty‐day mortality after transcatheter aortic valve replacement in nonagenarians has improved significantly over the past few years.

  • Procedural complications such as in‐hospital stroke, acute kidney injury, and need for blood transfusion remain associated with increased risk of short‐term mortality.

What Are the Clinical Implications?

  • In nonagenarians with severe symptomatic aortic stenosis, transcatheter aortic valve replacement is a safe and feasible option.

  • Appropriate preprocedural planning should be focused on reducing periprocedural complications to improve short‐ and long‐term outcomes.

Introduction

Since its approval by the US Food and Drug Administration in 2011, transcatheter aortic valve replacement (TAVR) has been a breakthrough in the treatment of patients with severe symptomatic aortic stenosis (AS), especially in high‐risk and elderly patients.1, 2 Because of improvement in health care, the nonagenarian population continues to expand and is expected to reach >8.5 million nonagenarians in the United States by 2050.3 Because AS is a disease of aging, it is expected that the number of nonagenarians with severe AS will rise proportionally.4

Nonagenarians were underrepresented in the pivotal TAVR trials, where the mean age of the study population was early 80s.2, 5 Although a few studies demonstrated the feasibility of TAVR in nonagenarians,6, 7 the available data regarding TAVR outcomes in this population are limited. Prior studies were either limited by small sample sizes from single centers8, 9 or by reporting outcomes from the earlier years of TAVR experience,6, 10 making the extrapolation of these results to the contemporary era of TAVR suboptimal. Although age is an important element of the Society of Thoracic Surgery risk score, which determines mortality risk with surgical aortic valve replacement, its utility in determining 30‐day mortality with TAVR is unclear.11, 12

The goals of this study are (1) to evaluate changes over time in short‐term outcomes of TAVR nonagenarians; (2) to compare trends in 30‐day mortality among nonagenarians and patients aged 65 to 89 and other short‐term outcomes among patients undergoing TAVR in the last year of the study (2016); and (3) to evaluate factors associated with 30‐day mortality among nonagenarians in 2016, including postprocedural complications and facility TAVR volume. Our findings may help nonagenarian patients and their clinicians reach informed decisions regarding TAVR in this relatively high‐risk population.

Methods

Study Population

Data used for the study are covered under a data use agreement with the Centers for Medicare and Medicaid Services (CMS) and are not available for distribution by the authors but may be obtained from CMS with an approved data use agreement. Requests for statistical and analytic SAS programs used to create the analytic data set may be sent to first author Amgad Mentias (amgad-mentias@uiowa.edu). The study cohort was derived from 100% Medicare Provider and Analysis Review (MEDPAR) Part A files for the years 2011–2016, obtained from CMS. We utilized MEDPAR Part A files, which include all hospital discharges for Medicare fee‐for‐service beneficiaries to identify individuals aged ≥65 years who underwent TAVR during 2012–2016 using International Classification of Diseases, Ninth Revision (ICD‐9) procedure codes for the period through September 2015 (35.05 and 35.06) and ICD‐10 procedure codes for the period after September 2015 (02RF37Z, 02RF38Z, 02RF3JZ, 02RF3KZ, 02RF37H, 02RF38H, 02RF3JH, 02RF3KH, or X2RF332). In patients who got a second TAVR procedure in follow‐up, only the first procedure was included in our study. Dates of beneficiary Medicare fee‐for‐service enrollment and death were obtained from the 100% Beneficiary Summary and enrollment files for the same period. Patients were excluded if they had been enrolled in Medicare fee‐for‐service for <12 months before TAVR. Patient characteristics and comorbidities were derived from Medicare enrollment data and inpatient claims during the year before and during the TAVR admission. Patient characteristics included patient age, sex, and race (from the discharge record); dual eligibility for Medicaid (from the Beneficiary Summary file); and preexisting clinical conditions defined using ICD‐9 or ICD‐10 codes. Comorbid diseases included 30 conditions defined by Elixhauser et al13 and additional conditions relevant to patient outcomes (Table S1).

Outcomes

The study cohort was divided into 2 groups based on age: nonagenarians (90–100 years) and non‐nonagenarians (65–89 years). Patients aged >100 years were excluded (n=68). We explored 3 outcomes with TAVR in the nonagenarian group across the study period (2012–2016). One outcome was trends of postprocedure complications such as in‐hospital stroke, acute kidney injury (AKI), blood transfusion, respiratory complications, vascular complications, and new permanent pacemaker implantation. The ICD‐9 and ICD‐10 codes used to define complications are outlined in Table S2. For in‐hospital complications, a “Present on Admission” indicator was used to identify complications that developed during the TAVR hospitalization.14 New pacemaker was defined using procedure codes on the same TAVR admission with no prior history of pacemaker. Other outcomes explored were trends of short‐term outcomes (in‐hospital and 30‐day mortality and 30‐day heart failure [HF] admissions) and trends in risk‐adjusted rate of 30‐day mortality using generalized estimating equations (GEE) modeling.

Subsequently, we conducted separate analyses of TAVRs performed in 2016 to compare short‐term outcomes among nonagenarians and younger patients undergoing TAVR in 2016; to explore predictors of 30‐day mortality in nonagenarians in 2016; and to evaluate subsequent risk of stroke, bleeding, or heart failure admissions among nonagenarians. In addition to patient characteristics described previously, these analyses also used a validated ICD‐10–based frailty index score to study prevalence of frailty in TAVR patients.15 A score ≥5 is indicative of frailty. ICD‐9 and ICD‐10 codes used to define the study outcomes are reported in Table S2. These codes have been validated in prior studies and showed consistent validity.16, 17 The institutional review board of the University of Iowa approved this study with a waiver for individual informed consent, given the retrospective nature of the study.

Statistical Analysis

To evaluate trends in short‐term outcomes among nonagenarians, continuous outcomes (eg, length of stay) were described as mean and standard deviation or median and interquartile range, as appropriate, and the trend was assessed with linear regression. Categorical outcomes were described as percentages, and trends were assessed using the Cochran–Armitage test for trend. To assess temporal trends in both groups, we performed the Mantel–Haenszel test for categorical variables.

Subsequently, we used GEE to estimate risk‐adjusted trends in 30‐day mortality among nonagenarians while accounting for clustering of patients in hospitals. Models were adjusted for patient demographics and comorbidities to determine the adjusted relative risk (aRR) and risk‐adjusted 30‐day mortality for each subsequent year compared with 2012. We further included other important factors that are known to affect post‐TAVR mortality and that have changed over time, including procedure characteristics (eg, apical access), and postprocedural complications such as blood transfusion, respiratory complications, vascular complications, and in‐hospital stroke. Because we hypothesized that hospital experience with TAVR is related to improvements in outcomes, we also included a facility‐level measure of TAVR volume, calculated by summarizing all TAVR procedures across hospitals for each given year. A center was considered high‐volume if it performed >100 TAVR cases per year.18 To determine magnitude of different factors that might explain the improvement in 30‐day mortality in nonagenarians, we performed the GEE model analysis in a stepwise fashion, adjusting first to change in patient characteristics and then to hospital volumes and change in postprocedure complications. The size of our sample and the number of events recorded permitted the utilization of a modified Poisson regression distribution model and the log link function to estimate RR ratios, as described previously.19

We then compared several short‐term outcomes and postprocedure complications among nonagenarians and younger patients (aged 65–90 years) undergoing TAVR in the final study year (2016). Continuous outcomes (eg, length of stay) were compared between the 2 groups using ANOVA or the Mann–Whitney test; categorical outcomes were compared using the χ2 test or Fisher exact test, as appropriate. In addition, we compared all‐cause mortality among nonagenarians and younger patients through the end of the follow‐up period (December 2016) using multivariable Cox proportional hazards regression to adjust for age, sex, preexisting comorbidities, TAVR access (apical versus nonapical), and hospital volume. A stepwise backward selection process, guided by the lowest Akaike information criterion to determine the best model fit combined with insight from clinical experience and previous literature, was performed.20 To assess whether the proportional hazards assumption was violated, a Kolmogorov‐type supremum test and graphical inspection of Schoenfeld residuals plotted against time were performed. Hazard ratios with 95% CIs were calculated. Kaplan–Meier curves with 95% CIs were generated to determine the cumulative proportion of patients who died as a function over time and were compared using log‐rank or generalized Wilcoxon statistics. We then compared 1‐year mortality outcome in nonagenarians with expected survival in an age‐ and sex‐matched US cohort through indirect standardization using actuarial life tables published by the US Social Security Administration.21 In supplementary analyses, we compared the RR of subsequent stroke, bleeding event, or heart failure admission among nonagenarians and younger patients in 2016 using proportional hazards regression, as detailed in Data S1. For these analyses, patients were censored due to death, Medicare disenrollment, or end of the study period (December 31, 2016).

Finally, we determined predictors of 30‐day mortality in nonagenarians in the last year (2016) using a mixed‐effects multivariable logistic regression with hospitals as a random‐effects variable to account for clustering of patients within hospitals. Patient baseline characteristics were included in multivariable models, with additional analysis that also evaluated the impact of procedural complications on mortality (eg, in‐hospital stroke). Adjusted odds ratios (aORs) are reported with 95% CIs derived from sandwich estimates of standard errors. Goodness of fit was determined with the Hosmer and Lemeshow test, and collinearity was assessed using the variance inflation factor with a cutoff of 2.0.

We performed a sensitivity analysis after excluding apical TAVR procedures. A P value of 0.05 was chosen for statistical significance. The analysis was done with SAS v9.4 (SAS Institute) and R 3.4.3 (R Foundation for Statistical Computing).

Results

Overall, 95 763 TAVR procedures were performed from 2012 to 2016 with nonagenarians comprising 14% (n=13 544) of the population. The number of nonagenarians who underwent TAVR increased from 1209 in 2012 to 4546 in 2016, representing 17.8% and 12.7% of the total TAVR procedures performed in 2012 and 2016, respectively. Table 1 shows changes in nonagenarians’ characteristics and comorbidities over the study years, and Table S3 shows the changes in younger patients (aged 65–89).

Table 1.

Trends in Nonagenarians’ Comorbidities Over the Study Years

Variable 2012 2013 2014 2015 2016 P Value
n 1209 1847 2549 3393 4546
White race 94.3 94.6 94.8 94.6 94.5 0.9
Black race 2.5 2.9 2.6 2.7 2.7
Male sex 49.7 47.2 49.0 47.5 49.5 0.3
Deficiency anemia 51.4 48.2 46.9 46.7 40.8 <0.001
Congestive heart failure 84.8 85.2 84.9 83.9 81.8 <0.001
Chronic lung disease 35.2 32.2 30.4 29.5 26.6 <0.001
Coagulopathy 31.8 28.8 28.3 25.3 20.8 <0.001
Depression 12.8 11.0 11.7 11.9 10.7 0.2
Diabetes mellitus 23.0 24.0 23.0 24.3 24.3 0.6
Hypertension 93.5 93.0 93.2 93.5 94.4 0.2
Hypothyroidism 29.0 31.0 29.8 29.4 30.1 0.7
Liver disease 1.3 0.5 0.8 1.0 1.4 0.007
Lymphoma 1.3 1.6 1.7 1.1 1.3 0.4
Electrolyte abnormality 52.1 51.7 50.0 46.9 42.5 <0.001
Obesity 4.8 6.8 7.4 7.7 7.7 0.008
Peripheral vascular disease 43.3 38.9 35.2 34.9 32.1 <0.001
Kidney disease 46.0 45.3 45.1 44.7 43.4 0.3
Underweight 11.8 11.0 10.5 9.5 8.4 <0.001
Atrial fibrillation 37.8 38.3 36.5 34.5 29.3 <0.001

Data represented in percentage.

Trend in Outcomes Over the Study Period

In‐hospital and short‐term outcomes in nonagenarians

Table 2 shows the change in unadjusted outcomes in nonagenarians compared with younger patients across the 5 years of the study period. We observed a significant reduction in multiple adverse short‐term outcomes in nonagenarians, including unadjusted rates of in‐hospital mortality (7.5% in 2012, 4.7% in 2014, and 2.4% in 2016; P trend<0.0001), in‐hospital stroke (4.1% in 2012 versus 2.2% in 2016; P trend=0.005), 30‐day mortality (9.8% in 2012 versus 3.6% in 2016; P trend<0.0001), and HF admissions (4.1% in 2012 versus 3.0% in 2016; P trend=0.02). Length of intensive care unit and hospital stay also declined in nonagenarians, as did the percentage of patients discharged within 72 hours after TAVR increased (7.2% versus 56.4%; P<0.001). Similarly, postprocedure AKI and vascular and respiratory complications declined significantly in nonagenarians over the study period. Although 30‐day mortality also decreased among younger patients (from 6.4% to 2.7%; P<0.001), the relative decrease in mortality among younger patients was roughly 10% smaller than the decrease experienced by nonagenarians (Figure 1A).

Table 2.

Trends in Nonagenarians’ Procedure Characteristics and Outcomes Over the Study Period

Variable 2012 2013 2014 2015 2016 P Value
n (n=13 544) 1209 1847 2549 3393 4546
Blood transfusion 32 31.9 22.4 16.1 9.6 <0.001
Length of ICU stay, d, mean±SD 3.3±5.2 3.4±5.0 3.2±5.0 2.6±4.3 2.0±3.5 <0.001
Length of hospital stay, d, median (IQR) 5 (4–8) 5 (4–8) 5 (3–7) 4 (3–6) 3 (2–5) <0.001
Early discharge ≤72 h 7.2 11.4 20.4 35.2 56.4 <0.001
Next‐day discharge 0.4 0.3 1.2 3.9 10.4 <0.001
AKI 19.8 21.7 19.3 16.1 12.3 <0.001
Respiratory complications 2.8 2.4 1.8 1.6 2.1 0.05
Vascular complications 15.6 10.7 10.7 8.3 3.7 <0.001
Discharge destination
Home 22.1 19.6 23.4 31.3 42.5 <0.001
Skilled nursing facility 30.9 35.0 31.1 25.8 20.4
Home health care 29.1 29.9 31.7 31.0 29.0
Inpatient rehabilitation 7.5 6.7 6.5 6.0 4.0
New pacemaker implantation 26.6 25.8 25.0 26.3 25.1 0.6
In‐hospital mortality 7.5 5.6 4.7 3.7 2.4 <0.0001
In‐hospital stroke 4.1 2.7 2.9 2.4 2.2 0.0005
30‐d mortality 9.8 7.4 7.1 5.5 3.6 <0.0001
30‐d stroke 4.6 3.0 3.2 2.9 2.7 0.001
30‐d HF readmissions 4.1 4.9 3.7 4.2 3.0 0.003
6‐mo mortality 21.3 17.4 16.6 14.3 9.8 <0.0001

Data are shown as percentage except as noted. AKI indicates acute kidney injury; HF, heart failure; ICU, intensive care unit; IQR, interquartile range.

Figure 1.

Figure 1

A, Trend in unadjusted 30‐day mortality rates in nonagenarians and patients aged <90 years after transcatheter aortic valve replacement. P trend<0.0001. B, Trend in risk‐adjusted 30‐day mortality rates in nonagenarians and patients aged <90 years after transcatheter aortic valve replacement. P trend<0.0001.

Risk‐adjusted rate of 30‐day mortality in nonagenarians

After using GEE modeling to adjust for nonagenarians’ demographics and comorbidities, risk‐adjusted 30‐day mortality in nonagenarians declined by 54% over the study period (9.8% in 2012 versus 4.4% in 2016; aRR: 0.44; 95% CI, 0.35–0.58; P<0.0001) and was lower in 2016 compared with each individual year in the study (2015: aRR: 0.73; 95% CI, 0.60–0.89; P=0.002; 2014: aRR: 0.60; 95% CI, 0.49–0.73; P<0.0001; 2013: aRR: 0.59; 95% CI, 0.47–0.74; P<0.0001; Figure 1B). Among younger patients, risk‐adjusted 30‐day mortality decreased by ≈46% (from 6.4% to 3.5%, P<0.001)—a roughly 15% smaller decrease than experienced by nonagenarians after adjusting for demographics and comorbidities. Table S4 shows the full GEE model for change in 30‐day mortality. When changes in postprocedure complications (in‐hospital stroke, blood transfusion, AKI, vascular and respiratory complications) and center volume were accounted for in the model, the RR of 2016 compared with prior years in nonagenarians was attenuated but remained significant (aRR: 0.54; 95% CI, 0.42–0.70; P<0.001 compared with 2012; aRR: 0.80; 95% CI, 0.66–0.96; P=0.02 compared with 2015), whereas high‐volume centers showed a trend with lower 30‐day mortality in the full GEE model (aRR: 0.88; 95% CI, 0.73–1.02; P=0.08).

Outcomes With TAVR in Nonagenarians Versus Non‐Nonagenarians in 2016

Table 3 shows baseline characteristics and comorbidities in nonagenarians and non‐nonagenarians in 2016. Nonagenarians had higher prevalence of HF, preexisting atrial fibrillation, and chronic kidney disease and lower prevalence of diabetes mellitus, liver disease, and chronic lung disease. Nonagenarians had slightly higher prevalence of frailty compared with younger patients (31.7% versus 30.0%; P=0.02) (Table S5).

Table 3.

Baseline Characteristics of Patients in the 2 Groups in 2016

Variable Patients <90 y Nonagenarians P Value
n 31 166 4546
Age, y, mean (SD) 79.6 (7.4) 92.1 (2.0)
White race 91.8 94.5 <0.0001
Black race 4.2 2.7
Male 53.8 49.5 <0.0001
Alcohol use 2.8 0.8 <0.0001
Deficiency anemia 40.2 40.8 0.43
Connective tissue disease 7.0 5.4 <0.0001
Blood loss anemia 4.8 4.1 0.03
Congestive heart failure 78.5 81.8 <0.0001
Chronic lung disease 38.9 26.6 <0.0001
Coagulopathy 21.0 20.8 0.87
Depression 15.9 10.7 <0.0001
Diabetes mellitus 43.9 24.3 <0.0001
Hypertension 94.2 94.4 0.6
Hypothyroidism 24.7 30.1 <0.0001
Liver disease 4.4 1.4 <0.0001
Lymphoma 1.8 1.3 0.003
Fluid and electrolyte abnormality 42.5 42.5 0.9
Obesity 27.3 7.7 <0.0001
Peripheral vascular disease 35.3 32.1 0.0001
Psychosis 2.4 1.2 <0.0001
Pulmonary circulatory disease 8.7 7.8 0.1
Kidney disease 41.2 43.4 0.08
Tumor without metastasis 5.2 5.0 0.3
Weight loss 8.1 8.4 0.55
Atrial fibrillation 26.6 29.3 0.0002
Prior stroke 17.3 15.5 0.002
Obstructive sleep apnea 20.6 6.8 <0.0001
Prior smoking 19.0 12.5 <0.0001
Prior revascularization 33.1 24.4 <0.0001
Coronary artery disease 32.9 29.4 <0.0001
Prior bleeding 48.7 46.9 0.03
Prior pacemaker 12.9 19.7 <0.0001
Prior implanted defibrillator 4.4 2.2 <0.0001
Apical access 3.4 2.2 0.001
High volume TAVR center 65.6 66.4 0.33
Frailty score, mean (SD) 3.9 (6.0) 4.1 (5.8) 0.001
Low‐risk score for frailty (score <5) 70.0 68.3 0.02
Intermediate‐risk score for frailty (score 5–15) 23.6 25.7 0.002
High‐risk score for frailty (score >15) 6.4 6.0 0.25
CHA2DS2VASc score
≤3 9.5 6.9 <0.001
4 21.1 21.3
5 31.6 36.4
6 21.1 20.4
≥7 16.7 15.0

Data are shown as percentage except as noted. TAVR indicates transcatheter aortic valve replacement.

In‐hospital and short‐term outcomes

In 2016, in‐hospital mortality was higher in nonagenarians compared with non‐nonagenarians (2.4% versus 1.7%; OR: 1.41; 95% CI, 1.15–1.74; P=0.001). However, in separate analysis of high‐ and low‐volume centers, we found no significant mortality difference among 2358 nonagenarians and 15 641 younger patients treated in high‐volume centers (2.2% versus 1.7%; OR: 1.33; 95% CI, 0.97–1.81; P=0.07), whereas the risk of death was 1.50 times higher in nonagenarians compared with younger patients treated in low‐volume centers (2.6% versus 1.8%; OR: 1.50; 95% CI, 1.13–1.2.00; P=0.005). Overall, in‐hospital stroke (2.2% versus 1.8%; P=0.04), 30‐day mortality (3.6% versus 2.7%; P=0.0002), and 30‐day HF readmissions (3.0% versus 2.1%; P<0.0001) were higher in nonagenarians compared with younger patients. Duration of intensive care unit stay, incidence of AKI, vascular complications, respiratory complications, and new permanent pacemaker implantation were similar in both groups. However, nonagenarians had higher incidence of blood transfusion and longer hospital stay and were less likely to be discharged within 72 hours or discharged home compared with non‐nonagenarians (Table 4).

Table 4.

Procedure Measures and Outcomes in Nonagenarians and Patients Aged <90 Years With TAVR in 2016

Variable Patients <90 y Nonagenarians P Value
n 31 166 4546
Length of ICU stay, d, median (IQR) 1 (0–2) 1 (0–2) 0.2
Length of hospital stay, d, median (IQR) 3 (2–4) 3 (2–5) <0.01
Early discharge ≤72 h 62.7 56.4 <0.001
Next‐day discharge 13.2 10.4 <0.001
Blood transfusion 7.9 9.6 <0.001
AKI 11.9 12.3 0.42
Respiratory complications 2.4 2.1 0.26
Vascular complications 3.8 3.7 0.9
Discharge destination
Home 56.4 42.5 <0.001
Skilled nursing facility 12.1 20.4
Home health care 25.2 29.0
Rehabilitation 3.1 4.0
New pacemaker implantation 24.4 25.1 0.29
In‐hospital mortality 1.7 2.4 0.001
In‐hospital stroke 1.8 2.2 0.04
30‐d mortality 2.7 3.6 0.003
30‐d HF readmissions 2.1 3.0 <0.001
30‐d stroke 2.2 2.7 0.06

Data are shown as percentage except as noted. AKI indicates acute kidney injury; HF, heart failure; ICU, intensive care unit; IQR, interquartile range; TAVR, transcatheter aortic valve replacement.

All‐cause mortality and secondary outcomes

In time‐to‐event analysis comparing all‐cause mortality among nonagenarians and younger patients while controlling for patient characteristics, apical access, and facility volume, being a nonagenarian was associated with higher risk of mortality (26.1 versus 17.7 deaths per 100 person‐years; adjusted hazard ratio; 1.50; 95% CI, 1.36–1.66; P<0.001; Figure 2). When we used data from 2015 for indirect standardization to compare 1‐year mortality with an age‐ and sex‐matched US population,21 nonagenarians who underwent TAVR in 2015 had 1‐year mortality of 20.4% overall and 20% in high‐volume centers, whereas the age‐ and sex‐matched US population without AS would have expected 1‐year mortality of 18.4%. Results of time‐to‐event analysis for secondary outcomes of stroke, bleeding events, and heart failure in 2016 are shown in Figure S1A through S1C.

Figure 2.

Figure 2

Kaplan–Meier curves for all‐cause mortality after transcatheter aortic valve replacement in nonagenarians and patients aged <90 years in 2016. Log‐rank test P<0.0001.

Predictors of 30‐day mortality in nonagenarians in 2016

In the multivariable mixed‐effect logistic regression accounting for clustering of patients, important predictors of 30‐day mortality in nonagenarians included in‐hospital stroke (aOR: 8.67; 95% CI, 5.03–15.00), AKI (aOR: 4.11; 95% CI, 2.90–5.83), blood transfusion (aOR: 2.66; 95% CI, 1.81–3.90), respiratory complications (aOR: 2.96; 95% CI, 1.52–5.76), heart failure (aOR: 1.86; 95% CI, 1.04–3.34), and coagulopathy (aOR: 1.59; 95% CI, 1.12–2.26; P<0.05 for all), whereas high‐volume center was not associated with 30‐day mortality in nonagenarians (aOR: 0.77; 95% CI, 0.55–1.07; Figure 3). Neither frailty nor age was associated with 30‐day mortality in nonagenarians in 2016.

Figure 3.

Figure 3

Adjusted odds ratios (ORs) from mixed‐effects multivariable logistic regression for important predictors of 30‐day mortality after transcatheter aortic valve replacement in nonagenarians in 2016.

Sensitivity Analysis

In a sensitivity analysis, when apical TAVR procedures were excluded, the results of the study remained the same. For example, risk‐adjusted 30‐day mortality in nonagenarians declined from 9.2% in 2012 to 4.3% in 2016, P trend<0.001. In GEE mode, the aRR was the lowest in 2016 compared with each previous year (2012: aRR: 0.47; 95% CI, 0.37–0.61; P<0.001; 2015: aRR: 0.74; 95% CI, 0.61–0.90; P=0.003). High‐volume TAVR centers were still associated with lower 30‐day mortality compared with lower volume centers (aRR: 0.84; 95% CI, 0.72–0.99; P=0.04). In 2016, in‐hospital mortality was higher in nonagenarians compared with younger patients (2.4% versus 1.6%; P<0.01) but was not different when the analysis was limited to high‐volume centers (2.1% versus 1.6%; P=0.053).

Discussion

In this study using Medicare data, we showed several important findings. First, the number of TAVR procedures done in nonagenarians has increased exponentially over the past few years accompanied by a significant decline in the rate of procedural complications in this population. Second, in‐hospital and 30‐day mortality rates have improved significantly in nonagenarians compared with the earlier years. In fact, in high‐volume centers in 2016, there was no significant difference in in‐hospital mortality between nonagenarians and patients aged <90 years. Third, we showed that among nonagenarians who underwent TAVR in the last available year, age was not associated with 30‐day mortality. Important procedural outcomes such as in‐hospital stroke, AKI, blood transfusion, and respiratory complications were associated with higher 30‐day mortality and thus may represent potential opportunities to improve overall outcomes in this population.

According to the Social Security Administration, 1 of every 4 people aged 65 years in the United States will live past 90 years, and 1 of every 10 will live past 95 years.22 As nonagenarians become an expanding cohort in our daily practice, the prevalence of AS in this population will continue to rise. The relatively high frailty in these patients significantly affects the decision of both patients and physicians regarding optimal treatment strategies. Consequently, our study represents an important addition to the literature regarding the most recently available outcomes with TAVR in this high‐risk population.

In our study, we noted a significant decline in vascular complications in nonagenarians from 2012 to 2016. This change is probably related to improvement in the valve profile and smaller delivery systems used in recent years23 and can explain the decline in blood transfusion rates in nonagenarians in the current study—this complication has always been linked to worse outcomes after TAVR.24 We also noticed a significant decline in respiratory complications including mechanical ventilation, which is probably a reflection of the increase in the use of conscious sedation versus general anesthesia with TAVR.25 The improvement in these perioperative complications translated into shorter durations of ICU and hospital stay and an increase in the percentage of patients with early discharge (<72 hours) after TAVR and with direct discharge home rather than to a skilled care or rehabilitation facility in 2016. Recent studies have shown that earlier discharge for TAVR patients is associated with less morbidity and mortality.26, 27 In our GEE model, when we adjusted for changes in nonagenarians’ comorbidities across the years, adjusted 30‐day mortality remained significantly lower in 2016 compared with all prior years. Nevertheless, it is possible that these findings could be partially explained by performing TAVR in less frail nonagenarians in recent years.

Procedural volume plays an integral role in influencing outcomes of complex structural procedures like TAVR. In prior studies, both the operator learning curve and the center volume effect had impacts on outcomes with TAVR.28, 29, 30 A recent study showed that center volume remained a significant predictor of mortality even after excluding the TAVR “startup period” for the first 12‐month period in a center.30 This high‐volume effect might extend to nonagenarians. High‐volume centers in our model were associated with nonsignificant 14% risk reduction in 30‐day mortality after adjusting for all procedural complications in our final GEE model. These procedural complications are indirect mediators through which high‐volume centers might have reduced mortality further, and true risk reduction could be even greater. It is important to note that when we limited the comparison to high‐volume centers only in 2016, there was no significant difference in in‐hospital mortality between nonagenarians and younger patients.

When we used data from 2015, nonagenarians had 1‐year mortality of 20.4% overall and 20% in high‐volume centers. With an indirect standardization method using actuarial life tables published by the Social Security Administration for 2015,21 an age‐ and sex‐matched US population without AS would have expected 1‐year mortality of 18.4%. Although untreated severe AS at any age is associated with a significant increase in mortality, our study showed that TAVR in nonagenarians with severe AS was associated with a reduction in 1‐year mortality to a percentage that is comparable with an age‐ and sex‐matched US population without AS. This intervention is probably one of the most promising to be performed in such an age group to reduce mortality.

It is worth mentioning that with mixed‐effects logistic regression, none of the patient characteristics or comorbidities other than HF and coagulopathy were associated with 30‐day mortality. Instead, 30‐day mortality was primarily influenced by procedural complications. Periprocedural stroke and AKI were the 2 most important factors that affected short‐term mortality in nonagenarians. In a recent analysis from the PARTNER (Placement of Aortic Transcatheter Valve Trial) study, investigators found that periprocedural stroke and AKI were associated with adjusted hazard ratios of 5.4 and 4.9, respectively, for 1‐year mortality.31 The mean age in that analysis was 82 years. Stroke and AKI seem to be even more strongly associated with in‐hospital mortality in nonagenarians. Careful monitoring of these potential complications would represent a paramount opportunity to further improve short‐term outcomes, and future innovations should focus on reducing the risk of stroke in the periprocedural period.

Limitations

The current study represents the largest and most comprehensive analysis examining outcomes with TAVR in nonagenarian and younger populations and reporting the temporal trend of outcomes over the year using the Medicare database. However, our study has some limitations. First, the most recent CMS data available were from 2016. It will be of great interest to examine the data from more recent years, when available, for more accurate reflection of the contemporary era. Second, frailty and nutritional status are important measures in elderly patients who undergo TAVR, and they affect mortality and outcomes.32, 33 We used a recently validated score for frailty using ICD‐10 codes in 2016 TAVR patients.15 However, we did not utilize frailty indexes validated using ICD‐9 codes because it would not be accurate to compare 2 different indexes based on ICD‐9 and ICD‐10 codes in different years of the study. Third, despite robust statistical adjustments for comorbidities, there is the possibility of residual confounding from other unmeasured factors. Last, most of the secondary outcomes were derived from ICD‐9 and ICD‐10 codes, which are vulnerable to miscoding and misclassification.

Conclusions

TAVR is increasingly being performed in nonagenarians and elderly patients in the United States, and short‐term outcomes have improved significantly. High‐volume TAVR centers were associated with significant reductions in 30‐day mortality over the years and in periprocedural complications. In‐hospital stroke and AKI remain associated with significant 30‐day hospital mortality in this population.

Sources of Funding

Mentias received support from a National Institutes of Health National Research Service Award institutional grant (T32 HL007121) at the Abboud Cardiovascular Research Center. Vaughan Sarrazin receives support from the National Institute on Aging (R01 AG055663) and the Health Services Research and Development Service of the US Department of Veterans Affairs.

Disclosures

Horwitz receives grant support from Edwards Lifesciences and Boston Scientific. Sorajja receives grant support from Edwards Lifesciences, Boston Scientific, Medtronic, Abbott Structural; consulting fees from Edwards Lifesciences, Boston Scientific, Medtronic, Abbott Structural, WL Gore, Admedus, and Cardionomics. The remaining authors have no disclosures to report.

Supporting information

Data S1. Supplemental Outcomes Analysis: Proportional Hazards Regression on Time to Death, Stroke, Bleeding, or Heart Failure Admission

Table S1. International Classification of Diseases Codes for Comorbidities

Table S2. International Classification of Diseases Codes for Study Outcomes

Table S3. Trends in Non‐Nonagenarians’ Procedure Characteristics and Outcomes Over Time

Table S4. Generalized Estimating Equations Marginal Model Accounting for Clustering in Centers for 30‐Day Mortality in Nonagenarians Over the Study Period

Table S5. Individual Components of the Frailty Score With Weight Scores and Prevalence in the 2016 Transcatheter Aortic Valve Replacement Cohort

Figure S1. A, Kaplan–Meier curves for the secondary outcomes of bleeding (A), heart failure admissions (B), and stroke (C) after transcatheter aortic valve replacement in nonagenarians and patients aged <90 years in 2016.

(J Am Heart Assoc. 2019;8:e013685 DOI: 10.1161/JAHA.119.013685.)

This article was handled independently by John S. Ikonomidis, MD, PhD, as a guest editor. The editors had no role in the evaluation of the article or in the decision about its acceptance.

References

  • 1. Leon MB, Smith CR, Mack M, Miller DC, Moses JW, Svensson LG, Tuzcu EM, Webb JG, Fontana GP, Makkar RR, Brown DL, Block PC, Guyton RA, Pichard AD, Bavaria JE, Herrmann HC, Douglas PS, Petersen JL, Akin JJ, Anderson WN, Wang D, Pocock S; PARTNER Trial Investigators . Transcatheter aortic‐valve implantation for aortic stenosis in patients who cannot undergo surgery. N Engl J Med. 2010;363:1597–1607. [DOI] [PubMed] [Google Scholar]
  • 2. Smith CR, Leon MB, Mack MJ, Miller DC, Moses JW, Svensson LG, Tuzcu EM, Webb JG, Fontana GP, Makkar RR, Williams M, Dewey T, Kapadia S, Babaliaros V, Thourani VH, Corso P, Pichard AD, Bavaria JE, Herrmann HC, Akin JJ, Anderson WN, Wang D, Pocock SJ; PARTNER Trial Investigators . Transcatheter versus surgical aortic‐valve replacement in high‐risk patients. N Engl J Med. 2011;364:2187–2198. [DOI] [PubMed] [Google Scholar]
  • 3. Vincent GK, Velkoff VA. The Next Four Decades: The Older Population in the United States: 2010 to 2050. Washington, DC, US: US Department of Commerce, Economics and Statistics Administration; 2010. [Google Scholar]
  • 4. Nkomo VT, Gardin JM, Skelton TN, Gottdiener JS, Scott CG, Enriquez‐Sarano M. Burden of valvular heart diseases: a population‐based study. Lancet. 2006;368:1005–1011. [DOI] [PubMed] [Google Scholar]
  • 5. Leon MB, Smith CR, Mack MJ, Makkar RR, Svensson LG, Kodali SK, Thourani VH, Tuzcu EM, Miller DC, Herrmann HC, Doshi D, Cohen DJ, Pichard AD, Kapadia S, Dewey T, Babaliaros V, Szeto WY, Williams MR, Kereiakes D, Zajarias A, Greason KL, Whisenant BK, Hodson RW, Moses JW, Trento A, Brown DL, Fearon WF, Pibarot P, Hahn RT, Jaber WA, Anderson WN, Alu MC, Webb JG; PARTNER 2 Investigators . Transcatheter or surgical aortic‐valve replacement in intermediate‐risk patients. N Engl J Med. 2016;374:1609–1620. [DOI] [PubMed] [Google Scholar]
  • 6. Arsalan M, Szerlip M, Vemulapalli S, Holper EM, Arnold SV, Li Z, DiMaio MJ, Rumsfeld JS, Brown DL, Mack MJ. Should transcatheter aortic valve replacement be performed in nonagenarians?: insights from the STS/ACC TVT registry. J Am Coll Cardiol. 2016;67:1387–1395. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Thourani VH, Jensen HA, Babaliaros V, Kodali SK, Rajeswaran J, Ehrlinger J, Blackstone EH, Suri RM, Don CW, Aldea G, Williams MR, Makkar R, Svensson LG, McCabe JM, Dean LS, Kapadia S, Cohen DJ, Pichard AD, Szeto WY, Herrmann HC, Devireddy C, Leshnower BG, Ailawadi G, Maniar HS, Hahn RT, Leon MB, Mack M. Outcomes in nonagenarians undergoing transcatheter aortic valve replacement in the “PARTNER‐I” Trial. Ann Thorac Surg. 2015;100:785–793. [DOI] [PubMed] [Google Scholar]
  • 8. Vendrik J, van Mourik MS, van Kesteren F, Henstra MJ, Piek JJ, Henriques JPS, Wykrzykowska JJ, de Winter RJ, Vis MM, Koch KT, Baan J Jr. Comparison of outcomes of transfemoral aortic valve implantation in patients <90 with those >90 years of age. Am J Cardiol. 2018;121:1581–1586. [DOI] [PubMed] [Google Scholar]
  • 9. Escarcega RO, Baker NC, Lipinski MJ, Koifman E, Kiramijyan S, Magalhaes MA, Gai J, Torguson R, Satler LF, Pichard AD, Waksman R. Clinical profiles and correlates of mortality in nonagenarians with severe aortic stenosis undergoing transcatheter aortic valve replacement. Am Heart J. 2016;173:118–125. [DOI] [PubMed] [Google Scholar]
  • 10. Elgendy IY, Mahmoud AN, Elbadawi A, Elgendy AY, Omer MA, Megaly M, Mojadidi MK, Jneid H. In‐hospital outcomes of transcatheter versus surgical aortic valve replacement for nonagenarians. Catheter Cardiovasc Interv. 2019;93:989–995. [DOI] [PubMed] [Google Scholar]
  • 11. O'Brien SM, Feng L, He X, Xian Y, Jacobs JP, Badhwar V, Kurlansky PA, Furnary AP, Cleveland JC Jr, Lobdell KW, Vassileva C, Wyler von Ballmoos MC, Thourani VH, Rankin JS, Edgerton JR, D'Agostino RS, Desai ND, Edwards FH, Shahian DM. The Society of Thoracic Surgeons 2018 adult cardiac surgery risk models: part 2‐statistical methods and results. Ann Thorac Surg. 2018;105:1419–1428. [DOI] [PubMed] [Google Scholar]
  • 12. Balan P, Zhao Y, Johnson S, Arain S, Dhoble A, Estrera A, Smalling R, Nguyen TC. The Society of Thoracic Surgery Risk Score as a predictor of 30‐day mortality in transcatheter vs surgical aortic valve replacement: a single‐center experience and its implications for the development of a TAVR risk‐prediction model. J Invasive Cardiol. 2017;29:109–114. [PubMed] [Google Scholar]
  • 13. Elixhauser A, Steiner C, Harris DR, Coffey RM. Comorbidity measures for use with administrative data. Med Care. 1998;36:8–27. [DOI] [PubMed] [Google Scholar]
  • 14. Kundi H, Valsdottir LR, Popma JJ, Cohen DJ, Strom JB, Pinto DS, Shen C, Yeh RW. Impact of a claims‐based frailty indicator on the prediction of long‐term mortality after transcatheter aortic valve replacement in Medicare beneficiaries. Circ Cardiovasc Qual Outcomes. 2018;11:e005048. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Kundi H, Popma JJ, Reynolds MR, Strom JB, Pinto DS, Valsdottir LR, Shen C, Choi E, Yeh RW. Frailty and related outcomes in patients undergoing transcatheter valve therapies in a nationwide cohort. Eur Heart J. 2019;40:2231–2239. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Quan H, Li B, Saunders LD, Parsons GA, Nilsson CI, Alibhai A, Ghali WA, Investigators I. Assessing validity of ICD‐9‐CM and ICD‐10 administrative data in recording clinical conditions in a unique dually coded database. Health Serv Res. 2008;43:1424–1441. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Quan H, Sundararajan V, Halfon P, Fong A, Burnand B, Luthi JC, Saunders LD, Beck CA, Feasby TE, Ghali WA. Coding algorithms for defining comorbidities in ICD‐9‐CM and ICD‐10 administrative data. Med Care. 2005;43:1130–1139. [DOI] [PubMed] [Google Scholar]
  • 18. Khera S, Kolte D, Gupta T, Goldsweig A, Velagapudi P, Kalra A, Tang GHL, Aronow WS, Fonarow GC, Bhatt DL, Aronow HD, Kleiman NS, Reardon M, Gordon PC, Sharaf B, Abbott JD. Association between hospital volume and 30‐day readmissions following transcatheter aortic valve replacement. JAMA Cardiol. 2017;2:732–741. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Zou G. A modified Poisson regression approach to prospective studies with binary data. Am J Epidemiol. 2004;159:702–706. [DOI] [PubMed] [Google Scholar]
  • 20. Heinze G, Wallisch C, Dunkler D. Variable selection—a review and recommendations for the practicing statistician. Biom J. 2018;60:431–449. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Security Social Administration . Actuarial life table. 2015. Available at: https://www.Ssa.Gov/oact/stats/table4c6.Html. Accessed September 1, 2019.
  • 22. Administration SS . Benefits planner | life expectancy. Available at: https://www.Ssa.Gov/planners/lifeexpectancy.Html. Accessed September 1, 2019.
  • 23. Barbanti M, Buccheri S, Rodes‐Cabau J, Gulino S, Genereux P, Pilato G, Dvir D, Picci A, Costa G, Tamburino C, Leon MB, Webb JG. Transcatheter aortic valve replacement with new‐generation devices: a systematic review and meta‐analysis. Int J Cardiol. 2017;245:83–89. [DOI] [PubMed] [Google Scholar]
  • 24. Apostolidou E, Aronow HD, Beale CE, Kolte D, Kennedy KF, Sellke FW, Gordon PC, Sharaf B, Ehsan A. Association between red blood cell transfusion and clinical outcomes among patients undergoing transcatheter aortic valve replacement. Ann Thorac Surg. 2019;107:1791–1798. [DOI] [PubMed] [Google Scholar]
  • 25. Hyman MC, Vemulapalli S, Szeto WY, Stebbins A, Patel PA, Matsouaka RA, Herrmann HC, Anwaruddin S, Kobayashi T, Desai ND, Vallabhajosyula P, McCarthy FH, Li R, Bavaria JE, Giri J. Conscious sedation versus general anesthesia for transcatheter aortic valve replacement: insights from the National Cardiovascular Data Registry Society of Thoracic Surgeons/American College of Cardiology Transcatheter Valve Therapy Registry. Circulation. 2017;136:2132–2140. [DOI] [PubMed] [Google Scholar]
  • 26. Wayangankar SA, Elgendy IY, Xiang Q, Jneid H, Vemulapalli S, Khachatryan T, Pham D, Hilliard AA, Kapadia SR. Length of stay after transfemoral transcatheter aortic valve replacement: an analysis of the Society of Thoracic Surgeons/American College of Cardiology Transcatheter Valve Therapy Registry. JACC Cardiovasc Interv. 2019;12:422–430. [DOI] [PubMed] [Google Scholar]
  • 27. Wood DA, Lauck SB, Cairns JA, Humphries KH, Cook R, Welsh R, Leipsic J, Genereux P, Moss R, Jue J, Blanke P, Cheung A, Ye J, Dvir D, Umedaly H, Klein R, Rondi K, Poulter R, Stub D, Barbanti M, Fahmy P, Htun N, Murdoch D, Prakash R, Barker M, Nickel K, Thakkar J, Sathananthan J, Tyrell B, Al‐Qoofi F, Velianou JL, Natarajan MK, Wijeysundera HC, Radhakrishnan S, Horlick E, Osten M, Buller C, Peterson M, Asgar A, Palisaitis D, Masson JB, Kodali S, Nazif T, Thourani V, Babaliaros VC, Cohen DJ, Park JE, Leon MB, Webb JG. The Vancouver 3M (multidisciplinary, multimodality, but minimalist) clinical pathway facilitates safe next‐day discharge home at low‐, medium‐, and high‐volume transfemoral transcatheter aortic valve replacement centers: the 3M TAVR study. JACC Cardiovasc Interv. 2019;12:459–469. [DOI] [PubMed] [Google Scholar]
  • 28. Wassef AWA, Rodes‐Cabau J, Liu Y, Webb JG, Barbanti M, Munoz‐Garcia AJ, Tamburino C, Dager AE, Serra V, Amat‐Santos IJ, Alonso Briales JH, San Roman A, Urena M, Himbert D, Nombela‐Franco L, Abizaid A, de Brito FS Jr, Ribeiro HB, Ruel M, Lima VC, Nietlispach F, Cheema AN. The learning curve and annual procedure volume standards for optimum outcomes of transcatheter aortic valve replacement: findings from an international registry. JACC Cardiovasc Interv. 2018;11:1669–1679. [DOI] [PubMed] [Google Scholar]
  • 29. Russo MJ, McCabe JM, Thourani VH, Guerrero M, Genereux P, Nguyen T, Hong KN, Kodali S, Leon MB. Case volume and outcomes after TAVR with balloon‐expandable prostheses: insights from TVT registry. J Am Coll Cardiol. 2019;73:427–440. [DOI] [PubMed] [Google Scholar]
  • 30. Vemulapalli S, Carroll JD, Mack MJ, Li Z, Dai D, Kosinski AS, Kumbhani DJ, Ruiz CE, Thourani VH, Hanzel G, Gleason TG, Herrmann HC, Brindis RG, Bavaria JE. Procedural volume and outcomes for transcatheter aortic‐valve replacement. N Engl J Med. 2019;380:2541–2550. [DOI] [PubMed] [Google Scholar]
  • 31. Arnold SV, Zhang Y, Baron SJ, McAndrew TC, Alu MC, Kodali SK, Kapadia S, Thourani VH, Miller DC, Mack MJ, Leon MB, Cohen DJ. Impact of short‐term complications on mortality and quality of life after transcatheter aortic valve replacement. JACC Cardiovasc Interv. 2019;12:362–369. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Shibata K, Yamamoto M, Kano S, Koyama Y, Shimura T, Kagase A, Yamada S, Kobayashi T, Tada N, Naganuma T, Araki M, Yamanaka F, Shirai S, Mizutani K, Tabata M, Ueno H, Takagi K, Higashimori A, Watanabe Y, Otsuka T, Hayashida K; on the behalf of O‐Ti . Importance of geriatric nutritional risk index assessment in patients undergoing transcatheter aortic valve replacement. Am Heart J. 2018;202:68–75. [DOI] [PubMed] [Google Scholar]
  • 33. Afilalo J, Lauck S, Kim DH, Lefevre T, Piazza N, Lachapelle K, Martucci G, Lamy A, Labinaz M, Peterson MD, Arora RC, Noiseux N, Rassi A, Palacios IF, Genereux P, Lindman BR, Asgar AW, Kim CA, Trnkus A, Morais JA, Langlois Y, Rudski LG, Morin JF, Popma JJ, Webb JG, Perrault LP. Frailty in older adults undergoing aortic valve replacement: the FRAILTY‐AVR study. J Am Coll Cardiol. 2017;70:689–700. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Data S1. Supplemental Outcomes Analysis: Proportional Hazards Regression on Time to Death, Stroke, Bleeding, or Heart Failure Admission

Table S1. International Classification of Diseases Codes for Comorbidities

Table S2. International Classification of Diseases Codes for Study Outcomes

Table S3. Trends in Non‐Nonagenarians’ Procedure Characteristics and Outcomes Over Time

Table S4. Generalized Estimating Equations Marginal Model Accounting for Clustering in Centers for 30‐Day Mortality in Nonagenarians Over the Study Period

Table S5. Individual Components of the Frailty Score With Weight Scores and Prevalence in the 2016 Transcatheter Aortic Valve Replacement Cohort

Figure S1. A, Kaplan–Meier curves for the secondary outcomes of bleeding (A), heart failure admissions (B), and stroke (C) after transcatheter aortic valve replacement in nonagenarians and patients aged <90 years in 2016.


Articles from Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease are provided here courtesy of Wiley

RESOURCES