Risk-Adjusted, 30-Day Home Time After Transcatheter Aortic Valve Replacement as a Hospital-Level Performance Metric

Hospital Heart Failure Medical Therapy Score and Associated Clinical Outcomes and Costs

Importance

A composite score for guideline-directed medical therapy (GDMT) for patients with heart failure (HF) is associated with increased survival. Whether hospital performance according to a GDMT score is associated with a broader array of clinical outcomes at lower costs is unknown.

Objectives

To evaluate hospital variability in GDMT score at discharge, 90-day risk-standardized clinical outcomes and costs, and associations between hospital GDMT score and clinical outcomes and costs.

Design, Setting, and Participants

This was a retrospective cohort study conducted from January 2015 to September 2019. Included for analysis were patients hospitalized for HF with reduced ejection fraction (HFrEF) in the Get With the Guidelines-Heart Failure Registry, a national hospital-based quality improvement registry. Study data were analyzed from July 2022 to April 2023.

Exposures

GDMT score at discharge.

Main Outcomes and Measures

Hospital variability in GDMT score, a weighted index from 0 to 1 of GDMT prescribed divided by the number of medications eligible, at discharge was evaluated using a generalized linear mixed model using the hospital as a random effect and quantified with the adjusted median odds ratio (AMOR). Parallel analyses centering on 90-day mortality, HF rehospitalization, mortality or HF rehospitalization, home time, and costs were performed. Costs were assessed from the perspective of the Centers of Medicare & Medicaid Services. Associations between hospital GDMT score and clinical outcomes and costs were evaluated using Spearman coefficients.

Results

Among 41 161 patients (median [IQR] age, 78 [71-85] years; 25 546 male [62.1%]) across 360 hospitals, there was significant hospital variability in GDMT score at discharge (AMOR, 1.23; 95% CI, 1.21-1.26), clinical outcomes (mortality AMOR, 1.17; 95% CI, 1.14-1.24; HF rehospitalization AMOR, 1.22; 95% CI, 1.18-1.27; mortality or HF rehospitalization AMOR, 1.21; 95% CI, 1.18-1.26; home time AMOR, 1.07; 95% CI, 1.06-1.10) and costs (AMOR, 1.23; 95% CI, 1.21-1.26). Higher hospital GDMT score was associated with lower hospital mortality (Spearman ρ, -0.22; 95% CI, -0.32 to -0.12; P < .001), lower mortality or HF rehospitalization (Spearman ρ, -0.17; 95% CI, -0.26 to -0.06; P = .002), more home time (Spearman ρ, 0.14; 95% CI, 0.03-0.24; P = .01), and lower cost (Spearman ρ, -0.11; 95% CI, -0.21 to 0; P = .047) but not with HF rehospitalization (Spearman ρ, -0.10; 95% CI, -0.20 to 0; P = .06).

Conclusions and Relevance

Results of this cohort study reveal that hospital variability in GDMT score, clinical outcomes, and costs was significant. Higher GDMT score at discharge was associated with lower mortality, lower mortality or hospitalization, more home time, and lower cost. Efforts to increase health care value should include GDMT optimization.

Aortic valve replacement for aortic stenosis: Influence of centre volume on TAVR adoption rates and outcomes in France

BACKGROUND

Transcatheter (TAVR) has supplanted surgical (SAVR) aortic valve replacement (AVR).

AIM

To evaluate whether adoption of this technology has varied according to centre volume at the nationwide level.

METHODS

From an administrative hospital-discharge database, we collected data on all AVRs performed in France between 2007 and 2019. Centres were divided into terciles based on the annual number of SAVRs performed in 2007-2009 ("before TAVR era").

RESULTS

A total of 192,773 AVRs (134,662 SAVRs and 58,111 TAVRs) were performed in 47 centres. The annual number of AVRs and TAVRs increased significantly and linearly in low-volume (<152 SAVRs/year; median 106, interquartile range [IQR] 75-129), middle-volume (152-219 SAVRs/year; median 197, IQR 172-212) and high-volume (>219 SAVRs/year; median 303, IQR 268-513) terciles, but to a greater degree in the latter (+14, +16 and +24 AVRs/centre/year and +16, +19 and +31 TAVRs/centre/year, respectively; PANCOVA<0.001). Charlson Comorbidity Index and in-hospital death rates declined from 2010 to 2019 in all terciles (all Ptrend<0.05). In 2017-2019, after adjusting for age, sex and Charlson Comorbidity Index, there was a trend toward lower death rates in the high-volume tercile (P=0.06) for SAVR, whereas death rates were similar for TAVR irrespective of tercile (P=0.27). Similar results were obtained when terciles were defined based on number of interventions performed in the last instead of the first 3years. Importantly, even centres in the lowest-volume tercile performed a relatively high number of interventions (150 TAVRs/year/centre).

CONCLUSIONS

In a centralized public healthcare system, the total number of AVRs increased linearly between 2007 and 2019, mostly due to an increase in TAVR, irrespective of centre volume. Progressive declines in patient risk profiles and death rates were observed in all terciles; in 2017-2019 death rates were similar in all terciles, although lower in high-volume centres for SAVR.

Quality of Life 5 Years Following Transfemoral TAVR or SAVR in Intermediate Risk Patients

BACKGROUND

Symptomatic patients with severe aortic stenosis (AS) at high risk for surgical aortic valve replacement (SAVR) sustain comparable improvements in health status over 5 years after transcatheter aortic valve replacement (TAVR) or SAVR. Whether a similar long-term benefit is observed among intermediate-risk AS patients is unknown.

OBJECTIVES

The purpose of this study was to assess health status outcomes through 5 years in intermediate risk patients treated with a self-expanding TAVR prosthesis or SAVR using data from the SURTAVI (Surgical Replacement and Transcatheter Aortic Valve Implantation) trial.

METHODS

Intermediate-risk patients randomized to transfemoral TAVR or SAVR in the SURTAVI trial had disease-specific health status assessed at baseline, 30 days, and annually to 5 years using the Kansas City Cardiomyopathy Questionnaire (KCCQ). Health status was compared between groups using fixed effects repeated measures modelling.

RESULTS

Of the 1,584 patients (TAVR, n = 805; SAVR, n = 779) included in the analysis, health status improved more rapidly after TAVR compared with SAVR. However, by 1 year, both groups experienced large health status benefits (mean change in KCCQ-Overall Summary Score (KCCQ-OS) from baseline: TAVR: 20.5 ± 22.4; SAVR: 20.5 ± 22.2). This benefit was sustained, albeit modestly attenuated, at 5 years (mean change in KCCQ-OS from baseline: TAVR: 15.4 ± 25.1; SAVR: 14.3 ± 24.2). There were no significant differences in health status between the cohorts at 1 year or beyond. Similar findings were observed in the KCCQ subscales, although a substantial attenuation of benefit was noted in the physical limitation subscale over time in both groups.

CONCLUSIONS

In intermediate-risk AS patients, both transfemoral TAVR and SAVR resulted in comparable and durable health status benefits to 5 years. Further research is necessary to elucidate the mechanisms for the small decline in health status noted at 5 years compared with 1 year in both groups. (Safety and Efficacy Study of the Medtronic CoreValve® System in the Treatment of Severe, Symptomatic Aortic Stenosis in Intermediate Risk Subjects Who Need Aortic Valve Replacement [SURTAVI]; NCT01586910).

Frailty and Recurrent Hospitalization After Transcatheter Aortic Valve Replacement

Background For frail patients with limited life expectancy, time in hospital following transcatheter aortic valve replacement is an important measure of quality of life; however, data remain scarce. Thus, we aimed to investigate frailty and its relation to time in hospital during the first year after transcatheter aortic valve replacement. Methods and Results From 2008 to 2020, all Danish patients who underwent transcatheter aortic valve replacement and were alive at discharge were included. Using the validated Hospital Frailty Risk Score, patients were categorized in the low, intermediate, and high frailty groups. Time in hospital and mortality up to 1 year are reported according to frailty groups. In total, 3437 (57.6%), 2277 (38.1%), and 257 (4.3%) were categorized in the low, intermediate, and high frailty groups, respectively. Median age was ≈81 years. Female sex and comorbidity burden were incrementally higher across frailty groups (low frailty: heart failure, 24.1%; stroke, 7.2%; and chronic kidney disease, 4.5%; versus high frailty: heart failure, 42.8%; stroke, 34.2%; and chronic kidney disease, 29.2%). In the low frailty group, 50.5% survived 1 year without a hospital admission, 10.8% were hospitalized >15 days, and 5.8% of patients died. By contrast, 26.1% of patients in the high frailty group survived 1 year without a hospital admission, 26.4% were hospitalized >15 days, and 15.6% died within 1 year. Differences persisted in models adjusted for sex, age, frailty, and comorbidity burden (excluding overlapping comorbidities). Conclusions Among patients undergoing transcatheter aortic valve replacement, frailty is strongly associated with time in hospital and mortality. Prevention strategies for frail patients to reduce hospitalization burden could be beneficial.

Ninety-Day Risk-Standardized Home Time as a Performance Metric for Cardiac Surgery Hospitals in the United States

BACKGROUND

Assessing hospital performance for cardiac surgery necessitates consistent and valid care quality metrics. The association of hospital-level risk-standardized home time for cardiac surgeries with other performance metrics such as mortality rate, readmission rate, and annual surgical volume has not been evaluated previously.

METHODS

The study included Medicare beneficiaries who underwent isolated or concomitant coronary artery bypass graft, aortic valve, or mitral valve surgery from January 1, 2013, to October 1, 2019. Hospital-level performance metrics of annual surgical volume, 90-day risk-standardized mortality rate, 90-day risk-standardized readmission rate, and 90-day risk-standardized home time were estimated starting from the day of surgery using generalized linear mixed models with a random intercept for the hospital. Correlations between the performance metrics were assessed using the Pearson correlation coefficient. Patient-level clinical outcomes were also compared across hospital quartiles by 90-day risk-standardized home time. Last, the temporal stability of performance metrics for each hospital during the study years was also assessed.

RESULTS

Overall, 919 698 patients (age 74.2±5.8 years, 32% women) were included from 1179 hospitals. Median 90-day risk-standardized home time was 71.2 days (25th-75th percentile, 66.5-75.6), 90-day risk-standardized readmission rate was 26.0% (19.5%-35.7%), and 90-day risk-standardized mortality rate was 6.0% (4.0%-8.8%). Across 90-day home time quartiles, a graded decline was observed in the rates of in-hospital, 90-day, and 1-year mortality, and 90-day and 1-year readmission. Ninety-day home time had a significant positive correlation with annual surgical volume (r=0.31; P<0.001) and inverse correlation with 90-day risk-standardized readmission rate (r=-0.40; P <0.001) and 90-day risk-standardized mortality rate (r=-0.60; P <0.001). Use of 90-day home time as a performance metric resulted in a meaningful reclassification in performance ranking of 22.8% hospitals compared with annual surgical volume, 11.6% compared with 90-day risk-standardized mortality rate, and 19.9% compared with 90-day risk-standardized readmission rate. Across the 7 years of the study period, 90-day home time demonstrated the most temporal stability of the hospital performance metrics.

CONCLUSIONS

Ninety-day risk-standardized home time is a feasible, comprehensive, patient-centered metric to assess hospital-level performance in cardiac surgery with greater temporal stability than mortality and readmission measures.