Sarcopenia: only one of the domains of frailty in patients undergoing transcatheter aortic valve implantation

A Comprehensive Geriatric Workup and Frailty Assessment in Older Patients with Severe Aortic Stenosis

Aortic stenosis (AS) represents a notable paradigm for cardiovascular (CV) and geriatric disorders owing to comorbidity. Transcatheter aortic valve replacement (TAVR) was initially considered a therapeutic strategy in elderly individuals deemed unsuitable for or at high risk of surgical valve replacement. The progressive improvement in TAVR technology has led to the need to refine older patients' stratification, progressively incorporating the concept of frailty and other geriatric vulnerabilities. Recognizing the intricate nature of the aging process, reliance exclusively on chronological age for stratification resulted in an initial but inadequate tool to assess both CV and non-CV risks effectively. A comprehensive geriatric evaluation should be performed before TAVR procedures, taking into account both physical and cognitive capabilities and post-procedural outcomes through a multidisciplinary framework. This review adopts a multidisciplinary perspective to delve into the diagnosis and holistic management of AS in elderly populations in order to facilitate decision-making, thereby optimizing outcomes centered around patient well-being.

Sarcopenia as a predictor of outcome after transcatheter aortic valve implantation: protocol for systematic review and meta-analysis

INTRODUCTION

Sarcopenia represents a central biological substratum of frailty, which increases the incidence of adverse events and mortality after surgery for oesophageal cancer, gastrectomy and pancreatic surgery. Recently, sarcopenia has been suggested as a predictor of outcomes in patients undergoing transcatheter aortic valve implantation (TAVI). However, since relevant data were variable, we aimed to perform a systematic review and meta-analysis of the current literature to evaluate sarcopenia as a predictor of post-TAVI outcomes.

METHODS AND ANALYSIS

Two investigators will conduct independent searches in PubMed, EMBASE, Web of Science, MEDLINE and the Cochrane Library, from database inception to October 2022. The search will not be limited by language or region. Eligible studies will include reports investigating post-TAVI outcomes in patients with sarcopenia, who are aged >18 years and diagnosed using a CT scan. The primary outcome is short-term mortality (30-day mortality), while the secondary outcomes include long-term mortality (>30 days), length of intensive care unit (ICU) stay, need for ICU admission (the number of patients in the sarcopenia or non-sarcopenia group requiring ICU admission), length of hospital stay and overall complications. Included studies will be assessed for risk of bias according to the Quality in Prognosis Studies critical assessment tool and certainty of evidence using the Grading of Recommendations, Assessment, Development and Evaluation. The analysis will be done with Review Manager (V.5.4) software. If testing reveals little or no statistical heterogeneity, a fixed-effect model will be used for data synthesis; otherwise, a random-effect model may be employed. On encountering substantial heterogeneity, subgroup analysis and leave-one-out jackknife sensitivity analysis will be used to verify the robustness of the results. The obtained results will be presented as forest plots while Cochran's Q test and I² test will be used to calculate the heterogeneity (>50% indicating strong heterogeneity).

ETHICS AND DISSEMINATION

No ethical approval is needed for this study since we will be using data from previously published studies. The results will be disseminated in a peer-reviewed journal.

PROSPERO REGISTRATION NUMBER

CRD42022349525.

Impact of anthropometric factors on outcomes in atrial fibrillation patients: analysis on 10 220 patients from the European Society of Cardiology (ESC)-European Heart Rhythm Association (EHRA) EurObservational Research Programme on Atrial Fibrillation (EORP-AF) general long-term registry

AIM

To investigate the association of anthropometric parameters [height, weight, body mass index (BMI), body surface area (BSA), and lean body mass (LBM)] with outcomes in atrial fibrillation (AF).

METHODS AND RESULTS

Ten-thousand two-hundred twenty patients were enrolled [40.3% females, median age 70 (62-77) years, followed for 728 (interquartile range 653-745) days]. Sex-specific tertiles were considered for the five anthropometric variables. At the end of follow-up, survival free from all-cause death was worse in the lowest tertiles for all the anthropometric variables analyzed. On multivariable Cox regression analysis, an independent association with all-cause death was found for the lowest vs. middle tertile when body weight (hazard ratio [HR] 1.66, 95%CI 1.23-2.23), BMI (HR 1.65, 95%CI 1.23-2.21), and BSA (HR 1.49, 95%CI 1.11-2.01) were analysed in female sex, as well as for body weight in male patients (HR 1.61, 95%CI 1.25-2.07). Conversely, the risk of MACE was lower for the highest tertile (vs. middle tertile) of BSA and LBM in males and for the highest tertile of weight and BSA in female patients. A higher occurrence of haemorrhagic events was found for female patients in the lowest tertile of height [odds ratio (OR) 1.90, 95%CI 1.23-2.94] and LBM (OR 2.13, 95%CI 1.40-3.26).

CONCLUSIONS

In AF patients height, weight, BMI, BSA, and LBM were associated with clinical outcomes, with all-cause death being higher for patients presenting lower values of these variables, i.e. in the lowest tertiles of distribution. The anthropometric variables independently associated with other outcomes were also different between male and female subjects.

Impact of body mass index on the outcome of elderly patients treated with transcatheter aortic valve implantation

Underweight or overweight patients with cardiovascular diseases are associated with different outcomes. However, the data on the relation between body mass index (BMI) and outcomes after transcatheter aortic valve implantation (TAVI) are not homogeneous. The aim of this study was to assess the role of low BMI on short and long-term mortality in real-world patients undergoing TAVI. We retrospectively included patients undergoing TAVI for severe aortic valve stenosis. Patients were classified into three BMI categories: underweight (< 20 kg/m²), normal weight (20-24.9 kg/m²) and overweight/obese (≥ 25 kg/m²). Our primary endpoint was long-term all-cause mortality. The secondary endpoint was 30-day all-cause mortality. A total of 794 patients were included [mean age 82.3 ± 5.3, 53% females]. After a median follow-up of 2.2 years, all-cause mortality was 18.1%. Patients in the lowest BMI group showed a higher mortality rate as compared to those with higher BMI values. At the multivariate Cox regression analysis, as compared to the normal BMI group, BMI < 20 kg/m² was associated with long-term mortality independently of baseline risk factors and postprocedural adverse events (hazard ratio [HR] 2.29, 95% confidence interval [CI] 1.30-4.03] and HR 2.61, 95% CI 1.48-4.60, respectively). The highest BMI values were found to be protective for both short- and long-term mortality as compared to lower BMI values even after applying the same adjustments. In our cohort, BMI values under 20 kg/m² were independent predictors of increased long-term mortality. Conversely, the highest BMI values were associated with lower mortality rates both at short- and long-term follow-up.