Do frailty measures improve prediction of mortality and morbidity following transcatheter aortic valve implantation? An analysis of the UK TAVI registry

Estimated prevalence of frailty and prefrailty in patients undergoing coronary artery or valvular surgeries/procedures: A systematic review and proportional meta-analysis

BACKGROUND

The aging population has led to an increasing number of older patients undergoing cardiac surgeries/procedures. Frailty and prefrailty have emerged as important prognostic indicators among these patients. This proportional meta-analysis estimated the prevalence of frailty and prefrailty among patients undergoing cardiac surgery.

METHODS

We searched seven electronic databases for observational studies that used validated measure(s) of frailty and reported prevalence data on frailty and/or prefrailty in older patients undergoing coronary artery or valvular surgeries or transcatheter procedures. Meta-analyses were performed using a random-effects model.

RESULTS

One hundred and one articles involving 626,863 patients were included. The pooled prevalence rates of frailty and prefrailty were 28% (95% confidence interval [CI]: 23%-33%) and 40% (95% CI: 31%-50%), respectively, for patients scheduled for open-heart surgeries and 40% (95% CI: 36%-45%) and 43% (95% CI: 34%-53%), respectively, for patients undergoing transcatheter procedures. Frailty measured using a multidimensional approach identified a higher proportion of frail patients when compared with measures solely focused on physical frailty. Older age, female sex, and lower body mass index and hemoglobin concentrations were significantly associated with higher frailty prevalence. Moreover, countries with higher gross domestic product spent on healthcare exhibited a higher frailty prevalence.

CONCLUSION

Frailty represents a considerable health challenge among patients undergoing cardiac surgeries/procedures. Routine screening for frailty should be considered during perioperative care planning.

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.

Utilizing multimodal approach to identify candidate pathways and biomarkers and predicting frailty syndrome in individuals from UK Biobank

Frailty, a prevalent clinical syndrome in aging adults, is characterized by poor health outcomes, represented via a standardized frailty-phenotype (FP), and Frailty Index (FI). While the relevance of the syndrome is gaining awareness, much remains unclear about its underlying biology. Further elucidation of the genetic determinants and possible underlying mechanisms may help improve patients' outcomes allowing healthy aging.Genotype, clinical and demographic data of subjects (aged 60-73 years) from UK Biobank were utilized. FP was defined on Fried's criteria. FI was calculated using electronic-health-records. Genome-wide-association-studies (GWAS) were conducted and polygenic-risk-scores (PRS) were calculated for both FP and FI. Functional analysis provided interpretations of underlying biology. Finally, machine-learning (ML) models were trained using clinical, demographic and PRS towards identifying frail from non-frail individuals.Thirty-one loci were significantly associated with FI accounting for 12% heritability. Seventeen of those were known associations for body-mass-index, coronary diseases, cholesterol-levels, and longevity, while the rest were novel. Significant genes CDKN2B and APOE, previously implicated in aging, were reported to be enriched in lipoprotein-particle-remodeling. Linkage-disequilibrium-regression identified specific regulation in limbic-system, associated with long-term memory and cognitive-function. XGboost was established as the best performing ML model with area-under-curve as 85%, sensitivity and specificity as 0.75 and 0.8, respectively.This study provides novel insights into increased vulnerability and risk stratification of frailty syndrome via a multi-modal approach. The findings suggest frailty as a highly polygenic-trait, enriched in cholesterol-remodeling and metabolism and to be genetically associated with cognitive abilities. ML models utilizing FP and FI + PRS were established that identified frailty-syndrome patients with high accuracy.

Clinical Frailty Scale as a predictor of adverse outcomes following aortic valve replacement: a systematic review and meta-analysis

OBJECTIVES

Assessment of frailty prior to aortic valve intervention is recommended in European and North American valvular heart disease guidelines. However, there is a lack of consensus on how it is best measured. The Clinical Frailty Scale (CFS) is a well-validated measure of frailty that is relatively quick to calculate. This meta-analysis sought to examine whether the CFS predicts mortality and morbidity following either transcatheter aortic valve implantation (TAVI) or surgical aortic valve replacement (SAVR).

METHODS

Nine electronic databases were searched systematically for data on clinical outcomes post-TAVI/SAVR, where patients had undergone preoperative frailty assessment using the CFS. The primary endpoint was 12-month mortality. TAVI and SAVR data were assessed and reported separately. For each individual study, the incidence of adverse outcomes was extracted according to a CFS score of 5-9 (ie, frail) versus 1-4 (ie, non-frail), with meta-analysis performed using a random effects model.

RESULTS

Of 2612 records screened, nine were included in the review (five TAVI, three SAVR and one which included both interventions). Among 4923 TAVI patients, meta-analysis showed 12-month mortality rates of 19.1% for the frail cohort versus 9.8% for the non-frail cohort (RR 2.53 (1.63 to 3.95), p<0.001, I2=83%). For the smaller cohort of SAVR patients (n=454), mortality rates were 20.3% versus 3.9% for the frail and non-frail cohorts, respectively (RR 5.08 (2.31 to 11.15), p<0.001, I2=5%).

CONCLUSIONS

Frailty, as determined by the CFS, was associated with an increased mortality risk in the 12 months following either TAVI or SAVR. These data would support its use in the preoperative assessment of elderly patients undergoing aortic valve interventions.

A Clinical Audit on the Indications for Intervention With Transcatheter Aortic Valve Implantation Over Surgical Aortic Valve Replacement in Aortic Stenosis Patients in Mohammed Bin Khalifa Bin Salman Al Khalifa Specialist Cardiac Centre

Introduction Transcatheter aortic valve implantation (TAVI) is a novel treatment strategy used to treat patients with symptomatic aortic stenosis. It utilizes a percutaneous approach and is preferred over surgical aortic valve replacement (SAVR) in patients at high surgical risk. The aim of this study was to audit the indications of the intervention with TAVI over SAVR in Bahrain Defence Force Hospital, Mohammed Bin Khalifa Bin Sulman AlKhalifa Cardiac Centre (BDF-MKCC), as well as note the outcomes of patients who underwent TAVI. Methods The indications for allocating aortic stenosis patients to TAVI over SAVR in BDF-MKCC were studied with regard to the European Society of Cardiology and the European Association for Cardio-Thoracic Surgery (ESC/EACTS) guidelines published in 2017. Data from 82 patients, which accounts for all patients who underwent TAVI, were collected retrospectively from electronic medical records and the percentage of compliance was calculated and analyzed. Results The compliance percentages of the 23 parameters for the intervention with TAVI that have been set by the ESC/EACTS are calculated, where BDF-MKCC were fully adherent to 12 out of the 23 standards. Moreover, the total number of patients that are compliant with all standards is 13 out of 82 (15.85%) compliant patients. Conclusion The centre showed non-compliance to many of the published standards. Hence, we created a checklist to ensure that the international guidelines are followed. We are looking forward to re-audit this aspect in the near future, to make certain that changes were done. We would also like to do a comparative study to compare the patients' outcomes before and after implementing the 2017 ESC/EACTS guidelines. Furthermore, we call for further studies to be conducted in this field and that is to evaluate the standards themselves as well as the safety of TAVI in those who are not eligible for it according to the ESC/EACTS.

Development and validation of a prediction model for early mortality after transcatheter aortic valve implantation (TAVI) based on the Netherlands Heart Registration (NHR): The TAVI-NHR risk model

BACKGROUND

The currently available mortality prediction models (MPM) have suboptimal performance when predicting early mortality (30-days) following transcatheter aortic valve implantation (TAVI) on various external populations. We developed and validated a new TAVI-MPM based on a large number of predictors with recent data from a national heart registry.

METHODS

We included all TAVI-patients treated in the Netherlands between 2013 and 2018, from the Netherlands Heart Registration. We used logistic-regression analysis based on the Akaike Information Criterion for variable selection. We multiply imputed missing values, but excluded variables with >30% missing values. For internal validation, we used ten-fold cross-validation. For temporal (prospective) validation, we used the 2018-data set for testing. We assessed discrimination by the c-statistic, predicted probability accuracy by the Brier score, and calibration by calibration graphs, and calibration-intercept and calibration slope. We compared our new model to the updated ACC-TAVI and IRRMA MPMs on our population.

RESULTS

We included 9144 TAVI-patients. The observed early mortality was 4.0%. The final MPM had 10 variables, including: critical-preoperative state, procedure-acuteness, body surface area, serum creatinine, and diabetes-mellitus status. The median c-statistic was 0.69 (interquartile range [IQR] 0.646-0.75). The median Brier score was 0.038 (IQR 0.038-0.040). No signs of miscalibration were observed. The c-statistic's temporal-validation was 0.71 (95% confidence intervals 0.64-0.78). Our model outperformed the updated currently available MPMs ACC-TAVI and IRRMA (p value < 0.05).

CONCLUSION

The new TAVI-model used additional variables and showed fair discrimination and good calibration. It outperformed the updated currently available TAVI-models on our population. The model's good calibration benefits preprocedural risk-assessment and patient counseling.

Personalized Preoperative Prediction of the Length of Hospital Stay after TAVI Using a Dedicated Decision Tree Algorithm

Background: The aim of this study was to identify pre-operative parameters able to predict length of stay (LoS) based on clinical data and patient-reported outcome measures (PROMs) from a scorecard database in patients with significant aortic stenosis who underwent TAVI (transfemoral aortic valve implantation). Methods: 302 participants (51.7% males, age range 78.2−84.2 years.) were prospectively recruited. After computing the median LoS value (=6 days, range = 5−8 days), we implemented a decision tree algorithm by setting dichotomized values at median LoS as the dependent variable and assessed baseline clinical variables and PROMs (Clinical Frailty Scale (CFS), EuroQol-5 Dimension-5 Levels (EQ-5D) and Kansas City Cardiomyopathy Questionnaire (KCCQ)) as potential predictors. Results: Among clinical parameters, only peripheral arterial disease (p = 0.029, HR = 1.826) and glomerular filtration rate (GFR, cut-off < 33 mL/min/1.73 m2, p = 0.003, HR = 2.252) were predictive of LoS. Additionally, two PROMs (CFS; cut-off = 3, p < 0.001, HR = 1.324 and KCCQ; cut-off = 30, p = 0.003, HR = 2.274) were strong predictors. Further, a risk score for LoS (RS_LoS) was calculated based on these predictors. Patients with RS_LoS = 0 had a median LoS of 5 days; patients RS_LoS ≥ 3 had a median LoS of 8 days. Conclusions: based on the pre-operative values of the above four predictors, a personalized prediction of LoS after TAVI can be achieved.

Quality of Life Assessment in Patients Undergoing Trans-Catheter Aortic Valve Implantation Using MacNew Questionnaire

The MacNew questionnaire is a disease-specific quality of life measure that has been used in patients with myocardial infarction and heart failure. We aimed to investigate the impact of transcatheter aortic valve implantation (TAVI) on health-related quality of life (HRQoL) using MacNew Questionnaire and identify predictors associated with a change in its score. This was a prospective multi-center study performed across 5 National Health Service hospitals in the United Kingdom performing TAVI between 2016 and 2018. HRQoL was assessed using MacNew Questionnaire, Euro Quality of Life-5D-5L, and Short Form 36 questionnaires collected at baseline, 3-, 6- and 12 months after the procedure. Out of 225 recruited patients, 19 did not have TAVI and 4 withdrew their consent, and hence 202 patients were included. HRQoL was assessed in 181, 161, and 147 patients at 3, 6, and 12 months, respectively. Using MacNew, there was a significant improvement in all domains of HRQoL as early as 3 months after TAVI which was sustained up to 12 months with improved discrimination of change in HRQoL compared with other scales. Poor mobility at baseline and history of myocardial infarction were independent predictors of reduced improvement in HRQoL at 3 months. HRQoL increased in all subgroups of patients including frail ones. In conclusion, the MacNew assessment tool performed well in a representative TAVI cohort and could be used as an alternative disease-specific method for assessing HRQoL change after TAVI.

Rockwood Clinical Frailty Scale as a predictor of adverse outcomes among older adults undergoing aortic valve replacement: a protocol for a systematic review

INTRODUCTION

Frailty is associated with adverse outcomes relating to cardiac procedures. It has been proposed that frailty scoring should be included in the preoperative assessment of patients undergoing aortic valve replacement. We aim to examine the Rockwood Clinical Frailty Scale (CFS), as a predictor of adverse outcomes following aortic valve replacement.

METHODS AND ANALYSIS

Prospective and retrospective cohort studies and randomised controlled trials assessing both the preoperative frailty status (as per the CFS) and incidence of adverse outcomes among older adults undergoing either surgical aortic valve replacement or transcatheter aortic valve replacement will be included. Adverse outcomes will include mortality and periprocedural complications, as well as a composite of 30-day complications. A search will be conducted from 2005 to present using a prespecified search strategy. Studies will be screened for inclusion by two reviewers, with methodological quality assessed using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool. Relative risk ratios with 95% CIs will be generated for each outcome of interest, comparing frail with non-frail groups. Data will be plotted on forest plots where applicable. The quality of the evidence will be determined using the Grading of Recommendations, Assessment, Development and Evaluation tool.

ETHICS AND DISSEMINATION

Ethical approval is not required for this study as no primary data will be collected. We will publish the review in a peer-reviewed journal on completion.

PROSPERO REGISTRATION NUMBER

CRD42020213757.

Clinical and Echocardiographic Parameters Predicting 1- and 2-Year Mortality After Transcatheter Aortic Valve Implantation

Background: Transcatheter aortic valve implantation (TAVI) has become a standard treatment option for patients with symptomatic aortic stenosis. Elderly high-risk patients treated with TAVI have a high residual mortality due to preexisting comorbidities. Knowledge of factors predicting futility after TAVI is sparse and clinical tools to aid the preoperative evaluation are lacking. The aim of this study was to evaluate if echocardiographic measures, including speckle-tracking analysis, in addition to clinical parameters, could aid in the prediction of mortality beyond 30 days after TAVI.

Methods: This prospective observational cohort study included 227 patients treated with TAVI at the University Hospital of North Norway, Tromsø and Oslo University Hospital, Rikshospitalet from February 2010 to June 2013. All the patients underwent preoperative echocardiographic evaluation with retrospective speckle-tracking analysis. Primary endpoints were 1- and 2-year mortality beyond 30 days after TAVI.

Results: All-cause 1- and 2-year mortality beyond 30 days after TAVI was 12.1 and 19.5%, respectively. Predictors of 1-year mortality beyond 30 days were body mass index [hazard ratio (HR): 0.88, 95% CI: 0.80–0.98, p = 0.018], previous myocardial infarction (HR: 2.69, 95% CI: 1.14–6.32, p = 0.023), and systolic pulmonary artery pressure ≥ 60 mm Hg (HR: 5.93, 95% CI: 1.67–21.1, p = 0.006). Moderate-to-severe mitral regurgitation (HR: 2.93, 95% CI: 1.53–5.63, p = 0.001), estimated glomerular filtration rate (HR: 0.98, 95% CI: 0.96–0.99, p = 0.002), and chronic obstructive pulmonary disease (HR: 1.9, 95% CI: 1.01–3.58, p = 0.046) were predictors of 2-year mortality.

Conclusion: Both the clinical and echocardiographic parameters should be considered when evaluating high-risk patients for TAVI, as both are predictive of 1-and 2-year mortality. Our results support the importance of individual risk assessment using a multidisciplinary, multimodal, and individual approach.

Mobility aids predict mortality after transcatheter aortic valve implantation

BACKGROUND

Selection of appropriate patients for transcatheter aortic valve implantation (TAVI) can be challenging. Many factors can influence post-procedure outcomes. Traditional surgical scoring systems do not discriminate effectively. Medical parameters and functional indices can characterize mortality risk. Mobility is an important predictive functional index but is largely defined using subjective criteria.

AIM

To describe the relationship between mobility, objectively defined by the requirement for gait aids to ambulate, and all-cause 30-day and long-term mortality in patients undergoing TAVI.

METHODS

Mobility aid use was assessed in 1444 consecutive patients undergoing TAVI in a single center. Patients were categorized into "unaided," "1-stick," and "higher aid" groups based on the Brighton Mobility Index. Mortality tracking was obtained via the NHS Spine Portal in February 2021.

RESULTS

Patients were aged 82 (IQR 78-86). 66% of patients walked unaided, 26% walked with 1 stick, and 8% required more assistance (e.g., 2 sticks, a Rollator, a Zimmer frame, or a wheelchair). Overall 30-day mortality for the whole cohort was 3.5%; 1-year mortality was 12.2%. Mobility was a significant predictor of 30-day mortality (p = 0.025). Use of a higher aid was associated with a mortality odds ratio of 2.83 (95% CI: 1.39-5.74). Mobility was also a significant predictor of long-term mortality (p < 0.001). Odds ratios for 1-stick and higher aid groups were 1.45 (95% CI: 1.21-1.72) and 2.01 (95% CI: 1.55-2.60), respectively.

CONCLUSION

Objective assessment of mobility by gait aid use predicts both short and long-term survival in patients undergoing TAVI. Increased dependence on mobility aids is associated with a worse prognosis.

The Pandora's Box of Frailty Assessments: Which Is the Best for Clinical Purposes in TAVI Patients? A Critical Review

Frailty assessment is recommended before elective transcatheter aortic valve implantation (TAVI) to determine post-interventional prognosis. Several studies have investigated frailty in TAVI-patients using numerous assessments; however, it remains unclear which is the most appropriate tool for clinical practice. Therefore, we evaluate which frailty assessment is mainly used and meaningful for ≤30-day and ≥1-year prognosis in TAVI patients. Randomized controlled or observational studies (prospective/retrospective) investigating all-cause mortality in older (≥70 years) TAVI patients were identified (PubMed; May 2020). In total, 79 studies investigating frailty with 49 different assessments were included. As single markers of frailty, mostly gait speed (23 studies) and serum albumin (16 studies) were used. Higher risk of 1-year mortality was predicted by slower gait speed (highest Hazard Ratios (HR): 14.71; 95% confidence interval (CI) 6.50–33.30) and lower serum albumin level (highest HR: 3.12; 95% CI 1.80–5.42). Composite indices (five items; seven studies) were associated with 30-day (highest Odds Ratio (OR): 15.30; 95% CI 2.71–86.10) and 1-year mortality (highest OR: 2.75; 95% CI 1.55–4.87). In conclusion, single markers of frailty, in particular gait speed, were widely used to predict 1-year mortality. Composite indices were appropriate, as well as a comprehensive assessment of frailty.

Relation between Modified Body Mass Index and Adverse Outcomes after Aortic Valve Implantation

We aimed to investigate the relationship of modified body mass index (mBMI), the product of BMI and serum albumin, with survival after transcatheter (TAVI) and surgical aortic valve implantation (SAVI). Frailty is associated with poor outcomes after TAVI and SAVI for severe aortic stenosis (AS). However, clinical frailty is not routinely measured in clinical practice due to the cumbersome nature of its assessment. Modified BMI is an easily measurable surrogate for clinical frailty that is associated with survival in elderly cohorts with non-valvular heart disease. We utilized individual patient-level data from a pooled database of the Placement of Aortic Transcatheter Valves (PARTNER) trials from the PARNTER1, PARTNER2 and S3 cohorts. We estimated cumulative mortality at 1 year for quartiles of mBMI with the Kaplan-Meier method and compared them with the log-rank test. We performed Cox proportional hazards modeling to assess the association of mBMI strata with 1-year mortality adjusting for baseline clinical characteristics. A total of 6593 patients who underwent TAVI or SAVI (mean age 83±7.3 years, 57% male) were included. mBMI was independently associated with all-cause one-year mortality with the lowest mBMI quartile as most predictive (HR 2.33, 95% CI 1.80-3.02, p < 0.0001). Notably, mBMI performed as well as clinical frailty index to predict 1-year mortality in this cohort. In conclusion, modified BMI predicts 1-year survival after both TAVI and SAVI. Given that it performed similar to the clinical frailty index, it may be used as a clinical tool for assessment of frailty prior to valve implantation.

Multidimensional Prognostic Index and Outcomes in Older Patients Undergoing Transcatheter Aortic Valve Implantation: Survival of the Fittest

Selecting patients with a high chance of endured benefit from transcatheter aortic valve implantation (TAVI) is becoming relevant with changing indications and increasing number of TAVI being performed. The aim of our study was to investigate the association of the multidimensional prognostic index (MPI) based on a comprehensive geriatric assessment (CGA) on survival. The TAVI Care & Cure program is a prospective, observational registry of patients referred for TAVI at the Erasmus MC University Medical Center. Consecutive patients who underwent a complete CGA and TAVI were included. CGA components were used to calculate the MPI score. The impact of the MPI score on survival was evaluated using Cox regression. Furthermore, 376 patients were included, 143 (38.0%) patients belonged to the MPI-1 group and 233 (61.9%) patients to the MPI-2–3 group. After 3 years, 14.9% of the patients in the MPI-1 group and 30.5% of the patients in the MPI-2–3 group died (p = 0.001). Patients in MPI-1 had increased chances of overall survival in comparison with patients in MPI group 2–3 Hazard Ratio (HR) 0.57, (95% Confidence Interval (CI) 0.33–0.98)). In this study we found that the MPI tool could be useful to assess frailty and to predict which patient will have a higher chance of enduring benefit from a TAVI procedure.

Calculated plasma volume status predicts outcomes after transcatheter aortic valve implantation

Objectives

Congestion can worsen outcomes after transcatheter aortic valve implantation (TAVI), but can be difficult to quantify non-invasively. We hypothesised that preprocedural plasma volume status (PVS), estimated using a validated formula that enumerates percentage change from ideal PV, would provide prognostic utility post-TAVI.

Methods

This retrospective cohort study identified patients who underwent TAVI (2007–2017) from a prospectively collected database. Actual ([1-haematocrit] × [a + (b × weight (Kg))] and ideal (c × weight (Kg)) PV were quantified from equations where a, b and c are sex-dependent constants. Calculated PVS was then derived (100% x [(actual – ideal PV)/ideal PV]).

Results

In 564 patients (mean age 82±7 years, 49% male), mean PVS was −2.7±10.2%, with PV expansion (PVS >0%) evident in 39%. Only logistic European System for Cardiac Operative Risk Evaluation (EuroSCORE) independently predicted a PVS >0% (OR 1.85, p=0.002). On Cox analyses, a PVS >0% was associated with greater mortality at 3 (HR 2.29, 95% CI 1.11 to 4.74, p=0.03) and 12 months (HR 2.00, 95% CI 1.23 to 3.26, p=0.006) after TAVI, independently of, and incremental to, the EuroSCORE and New York Heart Association class. A PVS >0% was also independently associated with more days in intensive care (coefficient: 0.41, 95% CI 0.04 to 0.78, p=0.03) and in hospital (coefficient: 1.95, 95% CI 0.48 to 3.41, p=0.009).

Conclusion

Higher PVS values, calculated simply from weight and haematocrit, are associated with greater mortality and longer hospitalisation post-TAVI. PVS could help refine risk stratification and further investigations into the utility of PVS-guided management in TAVI patients is warranted.

A Systematic Review and Meta-Analysis of Preoperative Frailty Instruments Derived From Electronic Health Data

BACKGROUND

Frailty is a strong predictor of adverse outcomes in the perioperative period. Given the increasing availability of electronic medical data, we performed a systematic review and meta-analysis with primary objectives of describing available frailty instruments applied to electronic data and synthesizing their prognostic value. Our secondary objectives were to assess the construct validity of frailty instruments that have been applied to perioperative electronic data and the feasibility of electronic frailty assessment.

METHODS

Following protocol registration, a peer-reviewed search strategy was applied to Medline, Excerpta Medica dataBASE (EMBASE), Cochrane databases, and the Comprehensive Index to Nursing and Allied Health literature from inception to December 31, 2019. All stages of the review were completed in duplicate. The primary outcome was mortality; secondary outcomes included nonhome discharge, health care costs, and length of stay. Effect estimates adjusted for baseline illness, sex, age, procedure, and urgency were of primary interest; unadjusted and adjusted estimates were pooled using random-effects models where appropriate or narratively synthesized. Risk of bias was assessed.

RESULTS

Ninety studies were included; 83 contributed to the meta-analysis. Frailty was defined using 22 different instruments. In adjusted data, frailty identified from electronic data using any instrument was associated with a 3.57-fold increase in the odds of mortality (95% confidence interval [CI], 2.68-4.75), increased odds of institutional discharge (odds ratio [OR], 2.40; 95% CI, 1.99-2.89), and increased costs (ratio of means, 1.54; 95% CI, 1.46-1.63). Most instruments were not multidimensional, head-to-head comparisons were lacking, and no feasibility data were reported.

CONCLUSIONS

Frailty status derived from electronic data provides prognostic value as it is associated with adverse outcomes, even after adjustment for typical risk factors. However, future research is required to evaluate multidimensional instruments and their head-to-head performance and to assess their feasibility and clinical impact.

What is meant by "frailty" in undergraduate medical education? A national survey of UK medical schools

PURPOSE

All UK medical schools are required to include frailty in their curriculum. The term is open to interpretation and associated with negative perceptions. Understanding and recognising frailty is a prerequisite for consideration of frailty in the treatment decision-making process across clinical specialities. The aim of this survey was to describe how frailty has been interpreted and approached in UK undergraduate medical education and provide examples of educational strategies employed.

METHODS

All UK medical schools were invited to complete an electronic survey. Schools described educational strategies used to teach and assess frailty and provided frailty-related learning outcomes. Learning Outcomes were grouped into categories and mapped to the domains of Outcomes for Graduates (knowledge, skills and values).

RESULTS

25/34 Medical schools (74%) participated. The interpretation of what frailty is vary widely and the diversity of teaching strategies reflect this. The most common Learning outcomes included as "Frailty" are about the concept of frailty, Comprehensive Geriatric Assessments and Roles of the MDT. Frailty teaching is predominantly opportunistic and occurred within geriatric medicine rotations in all medical schools. Assessments focus on frailty syndromes such as falls and delirium.

CONCLUSION

There is variation regarding how frailty has been interpreted and approached by medical schools. Frailty is represented in an array of teaching and assessment methods, with a lack of constructive alignment to related learning outcomes. Consensus should be agreed as to what frailty means in medical education. Further research is required to explore which frailty-specific educational strategies in undergraduate medical education enhance learning.

Measurement and prognosis of frail patients undergoing transcatheter aortic valve implantation: a systematic review and meta-analysis

OBJECTIVES

Our objectives were to review the literature to identify frailty instruments in use for transcatheter aortic valve implantation (TAVI) recipients and synthesise prognostic data from these studies, in order to inform clinical management of frail patients undergoing TAVI.

METHODS

We systematically reviewed the literature published in 2006 or later. We included studies of patients with aortic stenosis, diagnosed as frail, who underwent a TAVI procedure that reported mortality or clinical outcomes. We categorised the frailty instruments and reported on the prevalence of frailty in each study. We summarised the frequency of clinical outcomes and pooled outcomes from multiple studies. We explored heterogeneity and performed subgroup analysis, where possible. We also used Grading of Recommendations, Assessment, Development and Evaluation (GRADE) to assess the overall certainty of the estimates.

RESULTS

Of 49 included studies, 21 used single-dimension measures to assess frailty, 3 used administrative data-based measures, and 25 used multidimensional measures. Prevalence of frailty ranged from 5.67% to 90.07%. Albumin was the most commonly used single-dimension frailty measure and the Fried or modified Fried phenotype were the most commonly used multidimensional measures. Meta-analyses of studies that used either the Fried or modified Fried phenotype showed a 30-day mortality of 7.86% (95% CI 5.20% to 11.70%) and a 1-year mortality of 26.91% (95% CI 21.50% to 33.11%). The GRADE system suggests very low certainty of the respective estimates.

CONCLUSIONS

Frailty instruments varied across studies, leading to a wide range of frailty prevalence estimates for TAVI recipients and substantial heterogeneity. The results provide clinicians, patients and healthcare administrators, with potentially useful information on the prognosis of frail patients undergoing TAVI. This review highlights the need for standardisation of frailty measurement to promote consistency.

PROSPERO REGISTRATION NUMBER

CRD42018090597.

Five-Meter Walk Test as a Predictor of Prolonged Index Hospitalization After Transcatheter Aortic Valve Implantation

There are no studies evaluating comprehensive predictors of transcatheter aortic valve implantation (TAVI) outcomes encompassing frailty assessments in a South-East Asian cohort. In this longitudinal single-center cohort, all patients who underwent TAVI in a tertiary cardiac center and comprehensively assessed for frailty at baseline were included in a registry. The primary outcome was to investigate frailty indices predictive of prolonged index hospitalization after TAVI. Seventy-six patients with a mean age of 77.6 ± 8.5 years were included. Mean Society of Thoracic Society Predicted Risk of Mortality score was 5.2 ± 3.0, with 11 (14.5%) patients classified as high-risk (Society of Thoracic Society Predicted Risk of Mortality >8). Mean and median index hospitalization duration were 9.2 ± 5.6 and 7 [4.5 to 9.5] days, respectively. Univariate analysis demonstrated that lower hemoglobin (Hb) (p <0.01), longer 5-meter walk test (5MWT) (p <0.01), lower dominant hand grip strength (p <0.01), the use of transaortic access (p = 0.01), new atrial fibrillation post-TAVI (p <0.01), and lower postprocedural Hb (p <0.01) were associated with longer index hospitalization duration. Multivariate linear regression demonstrated preoperative Hb, preoperative atrial fibrillation and 5MWT were independent baseline predictors of index hospitalization duration (p <0.05). Additionally, a 5MWT cutoff of 11 seconds (0.45 m/s) had a high specificity (88.6%) in predicting prolonged index hospitalization duration. In conclusion, this is the first comprehensive frailty assessment in a South-East Asian cohort demonstrating 5MWT to be a significant predictor of prolonged index hospitalization. This simple and effective frailty assessment index may be considered to optimize patient selection for TAVI.

Growth Differentiation Factor 15 in Severe Aortic Valve Stenosis: Relationship with Left Ventricular Remodeling and Frailty

Background: Frailty is an important outcome predictor in patients with aortic stenosis who are candidates for transcatheter or surgical aortic valve replacement (AVR). Growth/differentiation factor 15 (GDF15) is a cytokine playing a role in the pathophysiology of ventricular remodeling. We assessed its potential role as an independent soluble biomarker of frailty in these patients. Methods: We studied 62 patients (age, mean 79 years, 95% confidence interval (CI) 77-81; 54.8% female) with severe aortic valve stenosis and candidates for AVR. We systematically assessed pre-intervention GDF15 levels for their relationship with frailty (Katz score) and echocardiographic parameters of left ventricular dysfunction/remodeling. Fifteen hypertensive patients with left ventricular (LV) hypertrophy served as controls. Results: Patients with aortic valve stenosis featured higher GDF15 levels than controls (1773, 95% CI 1574-1971 pg/mL vs. 775, 95% CI 600-950 pg/mL, respectively, p < 0.0001). Subjects in the upper GDF15 tertile were older (p = 0.004), with a more advanced NYHA functional class (p = 0.04) and a higher prevalence of impaired renal function (p = 0.004). Such patients also showed a higher frailty score (p = 0.04) and higher indices of LV dysfunction, including reduced global longitudinal strain (p = 0.01) and a higher left ventricular mass (p = 0.001). GDF15 was significantly related to the Katz score, and predicted (OR 1.05; 95% CI 0.9-1.1; p = 0.03) a low (<5) Katz score, independent of the relationship with LV mass, age, renal function or indices of LV dysfunction. Conclusions: GDF15 is increased in patients with severe aortic stenosis and appears to be a soluble correlate of patients' frailty, independent of indices of left ventricular dysfunction.

Risk modeling in transcatheter aortic valve replacement remains unsolved: an external validation study in 2946 German patients

Background

Surgical risk prediction models are routinely used to guide decision-making for transcatheter aortic valve replacement (TAVR). New and updated TAVR-specific models have been developed to improve risk stratification; however, the best option remains unknown.

Objective

To perform a comparative validation study of six risk models for the prediction of 30-day mortality in TAVR

Methods and results

A total of 2946 patients undergoing transfemoral (TF, n = 2625) or transapical (TA, n = 321) TAVR from 2008 to 2018 from the German Rhine Transregio Aortic Diseases cohort were included. Six surgical and TAVR-specific risk scoring models (LogES I, ES II, STS PROM, FRANCE-2, OBSERVANT, GAVS-II) were evaluated for the prediction of 30-day mortality. Observed 30-day mortality was 3.7% (TF 3.2%; TA 7.5%), mean 30-day mortality risk prediction varied from 5.8 ± 5.0% (OBSERVANT) to 23.4 ± 15.9% (LogES I). Discrimination performance (ROC analysis, c-indices) ranged from 0.60 (OBSERVANT) to 0.67 (STS PROM), without significant differences between models, between TF or TA approach or over time. STS PROM discriminated numerically best in TF TAVR (c-index 0.66; range of c-indices 0.60 to 0.66); performance was very similar in TA TAVR (LogES I, ES II, FRANCE-2 and GAVS-II all with c-index 0.67). Regarding calibration, all risk scoring models—especially LogES I—overestimated mortality risk, especially in high-risk patients.

Conclusions

Surgical as well as TAVR-specific risk scoring models showed mediocre performance in prediction of 30-day mortality risk for TAVR in the German Rhine Transregio Aortic Diseases cohort. Development of new or updated risk models is necessary to improve risk stratification.

Graphic abstract

Electronic supplementary material

The online version of this article (10.1007/s00392-020-01731-9) contains supplementary material, which is available to authorized users.

Impact of Frailty on Mortality, Readmissions, and Resource Utilization After TAVI

With aging population and preponderance of severe aortic stenosis occurring in elderly patients, the number of transcatheter aortic valve implantations (TAVI) performed in the elderly are growing. Frailty is common in the elderly and is known to be associated with worse outcomes. We aimed to evaluate the impact of frailty on hospital readmissions rates after TAVI. We used the 2016 Nationwide Readmission Database and categorized patients who underwent TAVI low, intermediate, and high frailty status. The primary outcome was 6-months readmission rates across the 3 frailty categories. Secondary outcomes included causes of readmissions, in-hospital mortality and cost of care. STATA 16.0 was used for survey-specific statistical tests. Of 20,504 patients who underwent TAVI, 58.9% were low-, 39.6% were intermediate-, and 1.5% were in the high-frailty group. Overall in-hospital mortality was 1.9% (n = 396), and was 0.6%, 3.3%, and 16.8% (p <0.01) with increasing frailty. Of the 20,108 patients who survived to discharge, 6,427 (32%) patients were readmitted within 6-months after TAVI. Readmission rates increased across the categories from 27.9% in low, 37.6% in intermediate and 51.1% in high frailty group (p <0.01). While cardiac causes (mostly heart failure) were the predominant readmission etiologies across frailty categories (low: 51.2%, intermediate: 34.1%, high: 27.2%), rates of infectious and injury-related readmissions increased (low: 11%, intermediate: 30%, high: 45%). Mortality during readmissions also worsened from 0.8%, 5.3%, and 8.5% (p <0.01). Over 40% of patients undergoing TAVI were of intermediate-high frailty. In conclusion, an increasing frailty was associated with significantly worse postprocedure mortality, readmissions, and related mortality.

UK TAVI registry

The UK Transcatheter Aortic Valve Implantation (TAVI) registry has collected data about every TAVI procedure performed in the UK. The latest data are from 2016 when 3250 procedures (49.5 pmp) were performed. There has been no change in the mean age of patients but there has been a shift to lower risk with fall in mean Logistic Euroscore since 2012. The switch from general anaesthetic to conscious sedation has been rapid, and propensity-adjusted analysis has not shown a difference in outcomes. In-hospital mortality has fallen to 1.8% in 2016, and relative survival analysis has shown outcome the same as the matched general population to 3 years. The UK TAVI registry has provided valuable benchmarks, and a risk adjustment model that includes frailty measures has been successfully developed and is available online.

Prevalence and Prognostic Implications of Frailty in Transcatheter Aortic Valve Replacement

Assessment of frailty has become engrained in the preprocedural evaluation of older adults referred for transcatheter aortic valve replacement. Addition of frailty and disability to clinical risk scores results in improved discrimination for short- and midterm mortality and identifies patients less likely to be discharged home and more likely to report worsening quality of life over the ensuing 6 to 12 months. In clinical practice, frailty can be evaluated by a tiered approach starting with a brief screening tool such as the Essential Frailty Toolset.

Effects of Transcatheter Aortic Valve Implantation on Frailty and Quality of Life

Background

Methods

Results

Conclusions

Sex differences in 30-day readmission rates, etiology, and predictors after transcatheter aortic valve replacement

BACKGROUND

The aim of this study is to analyze sex-specific readmission rates, etiology, and predictors of readmission after transcatheter aortic valve replacement (TAVR). Readmissions after TAVR are common, contributing to increased health care utilization and costs. Many factors have been discovered as predictors of readmission; however, sex-specific disparities in readmission rates are limited.

METHODS

Between January 2012 and September 2015, adult patients after TAVR were identified using appropriate international classifications of diseases, ninth revision, clinical modification from the National Readmission Database. Incidence of unplanned 30-days readmission rate was the primary outcome of this study. In addition, this study includes sex-specific etiology and predictors of readmissions. Multivariate logistic regression was performed to analyze adjusted readmission rates. Hierarchical 2-level logistic models were used to evaluate predictors of readmission.

RESULTS

Readmission rate at 30 days was 17.3%, with slightly higher readmission rates in women (OR 1.09; CI: 1.01-1.19, p < 0.001) after multivariate adjusted analysis. Noncardiac causes were responsible for most readmissions in both genders. Etiologies for readmissions such as arrhythmias, pulmonary complications, and infections were slightly higher in women, whereas heart failure and bleeding complications were higher in men. History of heart failure, atrial fibrillation, prior pacemaker, and renal failure significantly strongly predicted readmissions in both genders.

CONCLUSION

Women undergoing TAVR have slightly higher 30-day all-cause readmission rates. These results indicate that women require more attention compared to men to prevent 30-day readmission. In addition, risk stratification for men and women based on predictors will help identify high-risk men and women for readmissions.

Frailty and related outcomes in patients undergoing transcatheter valve therapies in a nationwide cohort

AIMS

We sought to identify the prevalence and related outcomes of frail individuals undergoing transcatheter mitral valve repair and transcatheter aortic valve replacement (TAVR).

METHODS AND RESULTS

Patients aged 65 and older were included in the study if they had at least one procedural code for transcatheter mitral valve repair or TAVR between 1 January 2016 and 31 December 2016 in the Centers for Medicare and Medicaid Services Medicare Provider and Review database. The Hospital Frailty Risk Score, an International Classification of Diseases, Tenth Revision (ICD-10) claims-based score, was used to identify frailty and the primary outcome was all-cause 1-year mortality. A total of 3746 (11.6%) patients underwent transcatheter mitral valve repair and 28 531 (88.4%) underwent TAVR. In the transcatheter mitral valve repair and TAVR populations, respectively, there were 1903 (50.8%) and 14 938 (52.4%) patients defined as low risk for frailty (score <5), 1476 (39.4%) and 11 268 (39.5%) defined as intermediate risk (score 5-15), and 367 (9.8%) and 2325 (8.1%) defined as high risk (score >15). One-year mortality was 12.8% in low-risk patients, 29.7% in intermediate-risk patients, and 40.9% in high-risk patients undergoing transcatheter mitral valve repair (log rank P < 0.001). In patients undergoing TAVR, 1-year mortality rates were 7.6% in low-risk patients, 17.6% in intermediate-risk patients, and 30.1% in high-risk patients (log rank P < 0.001).

CONCLUSIONS

This study successfully identified individuals at greater risk of short- and long-term mortality after undergoing transcatheter valve therapies in an elderly population in the USA using the ICD-10 claims-based Hospital Frailty Risk Score.

Measuring frailty in patients undergoing TAVI: how and why?

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Characteristics and Outcomes of Patients With Severe Aortic Stenosis Discussed by the Multidisciplinary "Heart Team" According to Treatment Allocation

BACKGROUND

Transcatheter aortic valve implantation (TAVI) is an alternative and effective contemporary intervention to surgical aortic valve replacement (SAVR) for patients with severe aortic valve disease at increased surgical risk. Guidelines recommend a multidisciplinary "Heart Team" (MHT) review of patients considered for a TAVI procedure, but this has been little studied. We reviewed the characteristics, treatments and outcomes of such patients reviewed by the MHT at our centre.

METHODS

Data on consecutive patients with severe aortic valve stenosis discussed by the Auckland City Hospital MHT from June 2011 to August 2016 were obtained from clinical records. Patient characteristics, treatment and outcomes were analysed using standard statistical methods.

RESULTS

Over the 5-year period 243 patients (mean age 80.2 ± 8.0 years, 60% male) were presented at the MHT meeting. TAVI was recommended for 200, SAVR for 26 and medical therapy for 17 patients, with no significant difference in mean age (80.2 ± 8.3, 80.4 ± 6.1, 80.4 ± 7.3 years, respectively) or EuroSCORE II (6.5 ± 4.7%, 5.3 ± 3.6%, 6.7 ± 4.3%, respectively). Over time, there was an increase in the number of patients discussed and treated, with no change in their mean age, but the mean EuroSCORE II significantly decreased (TAVI p = 0.026, SAVR p = 0.004). Survival after TAVI and SAVR was similar to that of the age-matched general population, but superior to medical therapy p = 0.002 (93% (n = 162), 84% (n = 21) and 73% (n = 18) at one year and 85% (n = 149), 84% (n = 21) and 54% (n = 13) at 2 years, respectively).

CONCLUSIONS

An increasing number of patients were discussed at the MHT meeting with the majority undergoing TAVI, with a similar age and EuroSCORE II to those allocated SAVR or medical therapy. Survival following TAVI and SAVR was superior to medical therapy and similar to the age-matched general population. These findings suggest that the MHT process is robust, consistent and appropriately allocating a limited treatment resource.