Practical Application of Patient-Reported Health Status Measures for Transcatheter Valve Therapies: Insights From the Society of Thoracic Surgeons/American College of Cardiology Transcatheter Valve Therapies Registry

Outcomes and quality of life in patients receiving mitral surgery for asymptomatic disease

Objectives

We sought to characterize the demographics, outcomes, and quality of life of asymptomatic patients undergoing mitral valve surgery at our center over a 10-year period.

Methods

Adults undergoing mitral surgery were retrospectively reviewed between 2010 and 2019. Patients were included if deemed asymptomatic by review of referring cardiologist and surgeon consultation. Patients were administered a telephone survey consisting of the Kansas City Cardiomyopathy Questionnaire as well as free-response regarding satisfaction surrounding their operation. Outcomes included survival, Kansas City Cardiomyopathy Questionnaire metrics, and thematic analysis of free response questions.

Results

A total of 145 patients were identified who were deemed asymptomatic. Their average age was 60.3 ± 12.1 years, and 71% were male. No patients had endocarditis, and 34% had decreased ejection fraction (<60%). Repair was achieved in 95% of patients. Median length of stay was 6 (5-8) days. Ten-year survival was 91%, with no differences noted by ejection fraction. Composite Kansas City Cardiomyopathy Questionnaire score was 100 (96-100). The lowest component score was "Quality of Life," with 22% of patients reporting being "mostly satisfied" with present cardiac status. Most common themes expressed were gratitude with surgery results (58%), satisfaction with being able to stay active (23%), and happiness with early disease treatment (21%). Only 1 patient (0.7%) expressed regret with surgery choice.

Conclusions

Mitral surgery for asymptomatic disease can be performed with good long-term outcomes in select patients, and the majority experience excellent quality of life and satisfaction with current health. Continued assessments of quality of life are important in evaluating outcomes of mitral surgery as indications grow.

Personalised preinterventional risk stratification of mortality, length of stay and hospitalisation costs in transcatheter aortic valve implantation using a machine learning algorithm: a pilot trial

INTRODUCTION

Risk stratification based on Euroscore II (ESII) is used in some centres to assist decisions to perform transcatheter aortic valve implant (TAVI) procedures. ESII is a generic, non-TAVI-specific metric, and its performance fades for mortality at follow-up longer than 30 days. We investigated if a TAVI-specific predictive model could achieve improved predictive preinterventional accuracy of 1-year mortality compared with ESII.

PATIENTS AND METHODS

In this prospective pilot study, 284 participants with severe symptomatic aortic valve stenosis who underwent TAVI were enrolled. Standard clinical metrics (American Society of Anesthesiology (ASA), New York Heart Association and ESII) and patient-reported outcome measures (EuroQol-5 Dimension-Visual Analogue Scale, Kansas City Cardiomyopathy Questionnaire and Clinical Frailty Scale (CFS)) were assessed 1 day before TAVI. Using these data, we tested predictive models (logistic regression and decision tree algorithm (DTA)) with 1-year mortality as the dependent variable.

RESULTS

Logistic regression yielded the best prediction, with ASA and CFS as the strongest predictors of 1-year mortality. Our logistic regression model score showed significantly better prediction accuracy than ESII (area under the curve=0.659 vs 0.800; p=0.002). By translating our results to a DTA, cut-off score values regarding 1-year mortality risk emerged for low, intermediate and high risk. Treatment costs and length of stay (LoS) significantly increased in high-risk patients.

CONCLUSIONS AND SIGNIFICANCE

A novel TAVI-specific model predicts 1-year mortality, LoS and costs after TAVI using simple, established, transparent and inexpensive metrics before implantation. Based on this preliminary evidence, TAVI team members and patients can make informed decisions based on a few key metrics. Validation of this score in larger patient cohorts is needed.

Prognostic Value of Patient-Reported Outcomes in Predicting Long-Term Mortality After Transcatheter Aortic Valve Replacement

Background Patient-reported outcome measures have been shown to have important prognostic value after various cardiac interventions. We assessed the association between the change in Kansas City Cardiomyopathy Questionnaire 12 (KCCQ-12) score after transcatheter aortic valve replacement and mortality. Methods and Results We included patients who underwent transcatheter aortic valve replacement at Mayo Clinic between February 2012 to June 2022 and who completed a KCCQ-12 before and 30 to 45 days after the procedure. Patients were categorized into 3 groups: those who experienced significant (>+19 points; group 1), modest (1-19 points; group 2), and no (≤0 points; group 3) improvement. A total of 1124 patients were included: 60.8% men; 97.6% White. Mean age was 79.4±8.3 years, baseline KCCQ-12 score was 53.9±24.5, and median Society of Thoracic Surgeons score was 4.9% (interquartile range, 3.1-8.0). At 45 days, the mean change in KCCQ-12 score was 19±24 points; 46.3% (n=520) of patients had a significant improvement in their KCCQ-12 score, while 33.4% (n=375) and 20.4% (n=229) had modest and no improvement, respectively. Median survival was higher in group 1 (5.7±0.2 years) compared with groups 2 and 3 (5.1±0.3 and 4.1±0.4 years, respectively; P<0.001). Compared with patients in group 1, those in groups 2 and 3 had higher long-term risk-adjusted mortality (adjusted hazard ratios, 1.54 [95% CI, 1.20-1.96], and 2.30 [95% CI, 1.74-3.04], respectively). Conclusions Patients who experience modest or no improvement in KCCQ-12 score after transcatheter aortic valve replacement have substantially higher long-term mortality. Delta KCCQ-12 is a cost-effective, efficient tool that can identify patients at increased risk of death at long-term follow-up post-transcatheter aortic valve replacement.

Heart Failure after Aortic Valve Replacement: Incidence, Risk Factors, and Implications

Severe aortic stenosis (AS) carries a poor prognosis with the onset of heart failure (HF) symptoms, and surgical or transcatheter aortic valve replacement (AVR) is its only definitive treatment. The management of AS has seen a paradigm shift with the adoption of transcatheter aortic valve replacement (TAVR), allowing for the treatment of AS in patients who would not otherwise be candidates for surgical AVR. Despite improving long-term survival after TAVR in recent years, residual HF symptoms and HF hospitalization are common and are associated with an increased mortality and a poor health status. This review article summarizes the incidence and risk factors for HF after AVR. Strategies for preventing and better managing HF after AVR are necessary to improve outcomes in this patient population. Extensive research is underway to assess whether earlier timing for AVR, prior to the development of severe symptomatic AS and associated extra-valvular cardiac damage, can improve post-AVR patient outcomes.

Quality of Life, Procedural Success, and Clinical Outcomes following Transcatheter Mitral Valve Repair

BACKGROUND

Limited data exist regarding the association between the quality of life (QoL) and clinical outcomes following transcatheter mitral valve repair (TMVr). We aimed to evaluate the prognostic significance of QoL assessment following TMVr and to characterize those who had procedural success, yet reported a low Kansas City Cardiomyopathy Questionnaire (KCCQ-12) score.

METHODS

We reported the experience of Cedars-Sinai Medical Center patients between 2013 and 2020. Patients were allocated into four groups according to the 30-day KCCQ: <25, 25-49, 50-74, and ≥75. Primary outcome included 1-year all-cause death or heart failure (HF) hospitalizations. We also examined the association between QoL and the primary outcome in those with procedural success.

RESULTS

A total of 555 patients were included in our analysis, median follow-up of 650 days (IQR 243-1113). The lower KCCQ groups had a higher prevalence of functional mitral regurgitation (65%, 60%, 56%, and 43%, p = 0.001), as well as a higher Society of Thoracic Surgeon (STS) score. These groups had a significantly higher occurrence of 1-year all-cause death or HF hospitalizations in a stepwise fashion (40%, 22%, 16%, and 10%, p < 0.001). Multivariable Cox regression analysis revealed 30-day KCCQ as the strongest predictor of the 1-year primary outcome (HR 0.98, 95%CI (0.97-0.99), p = 0.006). Approximately a quarter of patients with procedural success had a low KCCQ score. These patients had a higher rate of the combined 1-year outcome regardless of procedural success or failure.

CONCLUSION

QoL following TMVr is a powerful prognostic factor. KCCQ assessment is an important indicator for identifying patients prone to adverse outcomes even after procedural success.

A Novel Method to Predict Mortality and Length of Stay after Transfemoral Transcatheter Aortic Valve Implantation

Background and Objectives: We tested if a novel combination of predictors could improve the accuracy of outcome prediction after transfemoral transcatheter aortic valve implantation (TAVI). Materials and Methods: This prospective study recruited 169 participants (49% female; median age 81 years). The primary endpoint was midterm mortality; secondary endpoints were acute Valve Academic Research Consortium (VARC)-3 complication rate and post-TAVI in-hospital length of stay (LoS). EuroSCORE II (ESII), comorbidities (e.g., coronary artery disease), eGFR (estimated glomerular filtration rate; based on cystatin C), hemoglobin, creatinine, N-Terminal pro-Brain Natriuretic Peptide (NTproBNP) levels and patient-reported outcome measures (PROMs, namely EuroQol-5-Dimension-5-Levels, EQ5D5L; Kansas City Cardiomyopathy Questionnaire, KCCQ; clinical frailty scale, CFS) at baseline were tested as predictors. Regression (uni- and multi-variate Cox; linear; binary logistic) and receiver operating characteristic (ROC)-curve analysis were applied. Results: Within a median follow-up of 439 (318–585) days, 12 participants died (7.1%). Independent predictors of mortality using multivariate Cox regression were baseline eGFR (p = 0.001) and KCCQ (p = 0.037). Based on these predictors, a Linear Prediction Score (LPS1) was calculated. The LPS1-area under the curve (AUC)-value (0.761) was significantly higher than the ESII-AUC value (0.597; p = 0.035). Independent predictors for LoS > 6 days (the median LoS) were eGFR (p = 0.028), NTproBNP (p = 0.034), and EQ5D5L values (p = 0.002); a respective calculated LPS2 provided an AUC value of 0.677 (p < 0.001). Eighty participants (47.3%) experienced complications. Male sex predicted complications only in the univariate analysis. Conclusions: The combination of KCCQ and eGFR can better predict midterm mortality than ES II alone. Combining eGFR, NTproBNP, and EQ5D5L can reliably predict LoS after TAVI. This novel method improves personalized TAVI risk stratification and hence may help reduce post-TAVI risk.

Patient-Reported Versus Physician-Estimated Symptoms Before and After TAVR

AIMS

In contrast to patient-reported health status measures (such as the Kansas City Cardiomyopathy Questionnaire [KCCQ]), New York Heart Association (NYHA) Class is based on a physician's assessment of heart failure symptoms and functional limitations on behalf of the patient. We sought to determine the concordance and predictors of physician under- and overestimation of symptoms prior to and after transcatheter aortic valve replacement (TAVR).

METHODS AND RESULTS

The analytic cohort included 172,667 patients within the STS/ACC TVT Registry who underwent transfemoral TAVR. At baseline, physicians underestimated patients' symptoms in 47.4%, correctly assessed symptoms in 26.6%, and overestimated symptoms in 26.0%. At 30 days after TAVR, these proportions were 22.8%, 50.3%, and 26.9%, respectively. Using nominal logistic regression with random intercepts to account for within hospital clustering, we found that physicians were more likely to incorrectly estimate patients' symptoms when patients were older, women, had a prior stroke, had severe lung disease, had atrial fibrillation, or were more obese. There was marked variability in the rates of underestimation, correct estimation, and overestimation across the 641 sites.

CONCLUSION

Among patients undergoing treatment for severe aortic stenosis, physicians estimate patients' symptoms and functional status poorly both prior to and after TAVR, with different patterns. These findings emphasize the need to collect patient-reported health status to more reliably assess the benefits of TAVR in routine clinical practice.