Prognostic Value of Fat Mass and Skeletal Muscle Mass Determined by Computed Tomography in Patients Who Underwent Transcatheter Aortic Valve Implantation

Low muscle quality on a procedural computed tomography scan assessed with deep learning as a practical useful predictor of mortality in patients with severe aortic valve stenosis

BACKGROUND & AIMS

Accurate diagnosis of sarcopenia requires evaluation of muscle quality, which refers to the amount of fat infiltration in muscle tissue. In this study, we aim to investigate whether we can independently predict mortality risk in transcatheter aortic valve implantation (TAVI) patients, using automatic deep learning algorithms to assess muscle quality on procedural computed tomography (CT) scans.

METHODS

This study included 1199 patients with severe aortic stenosis who underwent transcatheter aortic valve implantation (TAVI) between January 2010 and January 2020. A procedural CT scan was performed as part of the preprocedural-TAVI evaluation, and the scans were analyzed using deep-learning-based software to automatically determine skeletal muscle density (SMD) and intermuscular adipose tissue (IMAT). The association of SMD and IMAT with all-cause mortality was analyzed using a Cox regression model, adjusted for other known mortality predictors, including muscle mass.

RESULTS

The mean age of the participants was 80 ± 7 years, 53% were female. The median observation time was 1084 days, and the overall mortality rate was 39%. We found that the lowest tertile of muscle quality, as determined by SMD, was associated with an increased risk of mortality (HR 1.40 [95%CI: 1.15-1.70], p < 0.01). Similarly, low muscle quality as defined by high IMAT in the lowest tertile was also associated with increased mortality risk (HR 1.24 [95%CI: 1.01-1.52], p = 0.04).

CONCLUSIONS

Our findings suggest that deep learning-assessed low muscle quality, as indicated by fat infiltration in muscle tissue, is a practical, useful and independent predictor of mortality after TAVI.

Obesity and Transcatheter Aortic Valve Replacement

Amidst an aging population and escalating obesity prevalence, elucidating the impact of obesity on transcatheter aortic valve replacement (TAVR) outcomes becomes paramount. The so-called "obesity paradox"-a term denoting the counterintuitive association of obesity, typically a risk factor for cardiovascular diseases, with improved survival outcomes in TAVR patients relative to their leaner or normal-weight counterparts-merits rigorous examination. This review comprehensively investigates the complex relationship between obesity and the clinical outcomes associated with TAVR, with a specific focus on mortality and periprocedural complications. This study aims to deepen our understanding of obesity's role in TAVR and the underlying mechanisms of the obesity paradox, thereby optimizing management strategies for this patient demographic, tailored to their unique physiological and metabolic profiles.

Low Bone Mineral Density on Computed Tomography: Association with Poor Survival after Transcatheter Aortic Valve Replacement

Background: Transcatheter aortic valve replacement (TAVR) has evolved as first-line therapy for severe aortic valve stenosis (AS), with pre-procedural computed tomography (CT) providing critical anatomical information. While primarily used for anatomical planning, TAVR-CT also offers an opportunity to assess low bone mineral density (BMD), a known indicator of frailty. Despite this, the prognostic role of BMD in TAVR patients remains unknown. This study aimed to evaluate BMD on routine TAVR-CT and its impact on long-term survival. Methods: In this retrospective study, 770 consecutive TAVR patients (mean age 80.7 ± 6.7 years, 54.0% males) between November 2015 and March 2022 were included. BMD was measured from a single axial image at the thoracic vertebral level on unenhanced CT scans. Cox regression models assessed the impact of BMD on mortality, and Restricted Cubic Spline models identified potential mortality thresholds. Results: The mean BMD value, as measured on non-contrast CT, was 147.5 ± 5.4 Hounsfield units, demonstrating a noteworthy association with mortality (adjusted hazard ratio per 100 HU decrease: 1.27 [95%CI: 1.01-1.59], p = 0.041). Restricted cubic spline analysis indicated that BMD below 200 HU was linked to a substantial increase in mortality risk. Upon crude Cox regression analysis, every 100 HU decrease was associated with a 32% increase in risk for death (HR 1.32 [95%CI: 1.068-1.65)], p = 0.010). Conclusions: In conclusion, low BMD on TAVR-CT is independently associated with reduced survival, suggesting its potential as a tool for comprehensive frailty assessment and improved risk prediction in TAVR patients.

Assessment of transabdominal fat volumes as a predictor of prognosis in patients undergoing transcatheter aortic valve replacement

Transcatheter aortic valve replacement (TAVR) has emerged as a well-established treatment option for eligible patients with severe aortic stenosis. This study aimed to investigate the correlation between abdominal fat tissue volumes, measured using computed tomography (CT), and all-cause mortality in patients undergoing TAVR. The study included 258 consecutive patients who underwent TAVR at a single center between September 2017 and November 2020. During the preoperative preparation, CT scans were used to perform a semi-quantitative measurement of abdominal fat components. Body mass index (BMI) for each participant was calculated. The relationship between fat parameters and overall survival was determined using multivariable Cox proportional hazards models. Participants had a mean age of 76.8 ± 7.8 years, of whom 32.9% were male. The median follow-up period was 12 months, during which 38 patients (14.7%) died. Both the survivor and non-survivor groups showed comparable risk factors. Regarding transabdominal fat volume parameters, deceased individuals exhibited significantly lower values. However, no significant differences were observed in BMI and transabdominal area measurements. Among transabdominal fat parameters, only subcutaneous fat volume [adjusted Hazard Ratio (aHR) = 0.83, p = 0.045] and total fat volume (TFV) [aHR = 0.82, p = 0.007] were identified as significant predictors of reduced all-cause mortality. Furthermore, TFV demonstrated the highest discriminative performance with a threshold of ≤ 9.1 L (AUC = 0.751, p < 0.001, sensitivity 71.1%, specificity 70.9%). Preoperative CT-based abdominal fat volume parameters, particularly TFV, can serve as potential predictors of survival in patients undergoing TAVR.

Sarcopenia and adipose tissue evaluation by artificial intelligence predicts the overall survival after TAVI

Sarcopenia is a serious systemic disease that reduces overall survival. TAVI is selectively performed in patients with severe aortic stenosis who are not indicated for open cardiac surgery due to severe polymorbidity. Artificial intelligence-assisted body composition assessment from available CT scans appears to be a simple tool to stratify these patients into low and high risk based on future estimates of all-cause mortality. Within our study, the segmentation of preprocedural CT scans at the level of the lumbar third vertebra in patients undergoing TAVI was performed using a neural network (AutoMATiCA). The obtained parameters (area and density of skeletal muscles and intramuscular, visceral, and subcutaneous adipose tissue) were analyzed using Cox univariate and multivariable models for continuous and categorical variables to assess the relation of selected variables with all-cause mortality. 866 patients were included (median(interquartile range)): age 79.7 (74.9-83.3) years; BMI 28.9 (25.9-32.6) kg/m2. Survival analysis was performed on all automatically obtained parameters of muscle and fat density and area. Skeletal muscle index (SMI in cm2/m2), visceral (VAT in HU) and subcutaneous adipose tissue (SAT in HU) density predicted the all-cause mortality in patients after TAVI expressed as hazard ratio (HR) with 95% confidence interval (CI): SMI HR 0.986, 95% CI (0.975-0.996); VAT 1.015 (1.002-1.028) and SAT 1.014 (1.004-1.023), all p < 0.05. Automatic body composition assessment can estimate higher all-cause mortality risk in patients after TAVI, which may be useful in preoperative clinical reasoning and stratification of patients.

Total Muscle Area and Visceral Adipose Tissue Measurements for Frailty Assessment in TAVR Patients

Background: Transcatheter aortic valve replacement (TAVR) is a treatment option for severe aortic valve stenosis. Pre-TAVR assessments, extending beyond anatomy, include evaluating frailty. Potential frailty parameters in pre-TAVR computed tomography (CT) scans are not fully explored but could contribute to a comprehensive frailty assessment. The primary objective was to investigate the impact of total muscle area (TMA) and visceral adipose tissue (VAT) as frailty parameters on 5-year all-cause mortality in patients undergoing TAVR. Methods: Between 01/2017 and 12/2018, consecutive TAVR patients undergoing CT scans enabling TMA and VAT measurements were included. Results: A total of 500 patients qualified for combined TMA and VAT analysis. Age was not associated with a higher risk of 5-year mortality (HR 1.02, 95% CI: 0.998-1.049; p = 0.069). Body surface area normalized TMA (nTMA) was significantly associated with 5-year, all-cause mortality (HR 0.927, 95% CI: 0.927-0.997; p = 0.033), while VAT had no effect (HR 1.002, 95% CI: 0.99-1.015; p = 0.7). The effect of nTMA on 5-year, all-cause mortality was gender dependent: the protective effect of higher nTMA was found in male patients (pinteraction: sex × nTMA = 0.007). Conclusions: Normalized total muscle area derived from a routine CT scan before transcatheter aortic valve replacement complements frailty assessment in patients undergoing TAVR.

Association between reduced muscle mass and poor prognosis of biliary sepsis

Sepsis is a life-threatening disease, contributing to significant morbidity and mortality. This study aimed to investigate the association between low muscle mass and the prognosis of patients with biliary sepsis, focusing on outcomes such as length of hospital stay (LOS), intensive care unit (ICU) admission, and in-hospital mortality. This retrospective, single-center, observational study included adult patients with biliary sepsis who visited the emergency department between January 2016 and December 2021. Low muscle mass was assessed using the psoas muscle index (PMI). Using computed tomography imaging, the area of both sides of the psoas muscle at the L3 level was measured, and the PMI, corrected by the patient's height was calculated. The primary outcome was in-hospital mortality, and the secondary outcomes were intensive care unit (ICU) admission, LOS, and 14-day mortality. A total of 745 patients were included in this study. Low muscle mass was defined as a PMI < 421 mm2/m2 for males and < 268 mm2/m2 for females with the lower quartile of PMI according to sex. The cohort was classified into sarcopenic (n = 189) and non-sarcopenic (n = 556) groups. There was a significant association between low muscle mass and in-hospital mortality (odds ratio, 3.81; 95% confidence interval, 1.08-13.47; p < 0.001), while there was no significant association between low muscle mass and ICU admission. In addition, the median LOS in the sarcopenic group (10 [7-14] days) was significantly longer than the median (8 [6-11] days) in the non-sarcopenic group. Low muscle mass was significantly associated with clinical outcomes, particularly in-hospital mortality and LOS, in patients with biliary sepsis.

Prognostic value of sarcopenia in older adults with transcatheter aortic valve implantation: A systematic review and meta-analysis

OBJECTIVE

We conducted this systematic review and meta-analysis to summarize the prevalence of sarcopenia and its impact on mortality in patients undergoing TAVI.

METHOD

Medline, EMBASE, and PubMed were searched from inception to October 14, 2022 to retrieve eligible studies that assessed sarcopenia in patients undergoing TAVI. Pooled sarcopenia prevalence was calculated with 95% confidence interval (CI), and heterogeneity was estimated using the I2 test. Associations of sarcopenia with mortality of post-TAVI were expressed as hazard ratio (HR) or odds ratios (OR) and 95% CI.

RESULTS

13 studies involving 5248 patients (mean age from 78.1 to 84.9 years) undergoing TAVI were included. There were eleven studies defined sarcopenia based on loss of skeletal muscle mass index (SMI), while only two studies used low muscle mass plus low muscle strength and/or low physical performance. Overall, the pooled prevalence of sarcopenia in patients undergoing TAVI was 49% (95% CI 41%-58%). Sarcopenia was associated with an increased risk of long-term (≥1 year) mortality in patients after TAVI (HR 1.57, 95% CI 1.33-1.85, P < 0.001), with similar findings in the subgroups stratified by follow-up time, definition of sarcopenia, study location, and study design. Furthermore, the 1-, 2-, and 3-year cumulative probabilities of survival in patients with sarcopenia were significantly lower than non-sarcopenia (74.0% vs 91.0%, 68.3% vs 78.0%, and 72.6% vs 79.8%, all P < 0.05).

CONCLUSIONS

Although there are substantial differences in diagnostic criteria, sarcopenia is highly prevalent in patients undergoing TAVI and its linked to increased long-term mortality after TAVI.

Can sarcopenia predict poor prognosis of sepsis due to acute cholecystitis?

AIM OF THE STUDY

As sepsis is a life-threatening disease, it is important to predict the prognosis in the early stages to establish treatment plans. This study aimed to investigate the association between sarcopenia, determined by the psoas muscle area, and the prognosis of sepsis due to acute cholecystitis.

METHODS

This retrospective single-center observational study included adult patients with sepsis due to acute cholecystitis who visited the emergency department between January 2016 and December 2021. The area of both sides of the psoas muscle at the L3 level was measured, and the psoas muscle index (PMI) corrected by the patient's height was calculated. Sarcopenia was determined based on PMI. The primary outcome was in-hospital mortality, and secondary outcomes were intensive care unit (ICU) admission, length of hospital stay (LOS), and 14-day mortality.

RESULTS

A total of 374 patients were included in this study. In this cohort, the lower quartile of PMI according to gender was set as the cut-off value to define sarcopenia. Sarcopenia was defined as PMI < 423 mm2/m2 for males and < 269 mm2/m2 for females. There were 94 patients in the sarcopenic group and 280 in the non-sarcopenic group. There was a significant association between sarcopenia and ICU admission (odds ratio [OR], 1.98; 95% confidence interval [CI], 1.05-3.76), and there was also a significant association between sarcopenia and in-hospital mortality (OR, 6.40; 95%CI, 1.13-36.09). Additionally, the median LOS in the sarcopenic group (11.5 (Cruz-Jentoft et al., 2010; Kawaguchi et al., 2019; Kim et al., 2017; Ritz et al., 2021; Cox et al., 2021; Lee et al., 2018; Okada et al., 2021; Prashanthi et al., n.d.; Amini et al., 2015; Fearon et al., 2011) days) was significantly longer than the median (8 (Rosenberg, 1989, 1997; Cruz-Jentoft et al., 2010; Kawaguchi et al., 2019; Kim et al., 2017; Ritz et al., 2021) days) in the non-sarcopenic group.

CONCLUSIONS

In patients with sepsis due to acute cholecystitis, sarcopenia was significantly associated with ICU admission, LOS, and in-hospital mortality.

Contribution of low skeletal muscle mass in predicting cardiovascular events: A prospective cohort study

BACKGROUND

We aimed to explore the association between skeletal muscle mass and cardiovascular events, and its additional value on the assessment of cardiovascular diseases (CVD) over traditional risk scores.

METHODS

The study included 1365 community-based participants aged over 50 years and free of CVDs at baseline. Participants completed detailed assessments at baseline and received a follow-up assessment in 2021-2022 via phone calls or electronic medical records. Skeletal muscle mass was measured using an automatic bioelectric analyzer. Predicted probabilities of 10-year atherosclerotic cardiovascular disease (ASCVD) risk were estimated individually with the China-PAR equation.

RESULTS

After a mean follow-up of 7.6 years, 144 cardiovascular events were identified. The fully-adjusted hazard ratios (HRs) of cardiovascular events were 0.93 (0.88-0.98) and 1.08 (1.04-1.12) for skeletal muscle mass and predicted 10-year risk, respectively. Among participants over 60 years and with two or more risk factors, cardiovascular events risk increased progressively with each decreasing skeletal muscle tertile. Receiver operating characteristic curves showed that the C-statistic of predicting cardiovascular events for a 10-year risk assessment was slightly increased after adding skeletal muscle mass. The categorical net reclassification improvement (NRI) showed a 56.7% increase in the reclassification. The continuous NRI and integrated discrimination improvement increased as well.

CONCLUSION

Participants with low skeletal muscle mass were more likely to have cardiovascular events. Low muscle mass improved the predictive power of CVD incidence over the original risk score, indicating that muscle mass could be a valuable parameter and a declining value needed early detection in the population.

Sarcopenia and Cardiovascular Diseases

Sarcopenia is the loss of muscle strength, mass, and function, which is often exacerbated by chronic comorbidities including cardiovascular diseases, chronic kidney disease, and cancer. Sarcopenia is associated with faster progression of cardiovascular diseases and higher risk of mortality, falls, and reduced quality of life, particularly among older adults. Although the pathophysiologic mechanisms are complex, the broad underlying cause of sarcopenia includes an imbalance between anabolic and catabolic muscle homeostasis with or without neuronal degeneration. The intrinsic molecular mechanisms of aging, chronic illness, malnutrition, and immobility are associated with the development of sarcopenia. Screening and testing for sarcopenia may be particularly important among those with chronic disease states. Early recognition of sarcopenia is important because it can provide an opportunity for interventions to reverse or delay the progression of muscle disorder, which may ultimately impact cardiovascular outcomes. Relying on body mass index is not useful for screening because many patients will have sarcopenic obesity, a particularly important phenotype among older cardiac patients. In this review, we aimed to: (1) provide a definition of sarcopenia within the context of muscle wasting disorders; (2) summarize the associations between sarcopenia and different cardiovascular diseases; (3) highlight an approach for a diagnostic evaluation; (4) discuss management strategies for sarcopenia; and (5) outline key gaps in knowledge with implications for the future of the field.

Quality of Life after Transcatheter Aortic Valve Replacement in Sarcopenic Patients Using the Toronto Aortic Stenosis Quality of Life Questionnaire

BACKGROUND

Sarcopenia is the core component of frailty; however, its role in patients undergoing transcatheter aortic valve replacement (TAVR) is a matter of debate. The Toronto Aortic Stenosis Quality of Life Questionnaire (TASQ) is a validated instrument for assessing quality of life (QoL) in patients with severe aortic stenosis (AS).

AIMS

We aim to evaluate the QoL of sarcopenic and non-sarcopenic patients with severe AS undergoing TAVR.

METHODS

TASQ was prospectively administered to patients undergoing TAVR. All patients completed the TASQ before TAVR and at a 3-month follow-up. The study population was divided in two groups according to sarcopenic status. The primary endpoint was the TASQ score in the sarcopenic and non-sarcopenic cohorts.

RESULTS

In total, 99 patients were eligible for the analysis. In both sarcopenic (n = 56) and non-sarcopenic (n = 43) cohorts, significant changes were observed in the overall TASQ score and in all but one (i.e., health expectations) of the individual domains (p < 0.01). Sarcopenic and non-sarcopenic patients showed substantial improvements across TASQ subscores. The mean change in overall TASQ score at three months revealed a significant improvement in both cohorts (p < 0.01). Health expectations worsened in sarcopenic patients at the 3-month follow-up (p = 0.06).

CONCLUSIONS

The TASQ questionnaire revealed changes in QoL after TAVR, regardless of patients' sarcopenic status. Health status improved substantially in both sarcopenic and non-sarcopenic patients following TAVR. Lack of improvement in health expectations seems to depend on patients' expectations regarding the procedure and specific aspects in the evaluation of the outcome.

Impact of Sarcopenia on Outcomes of Minimally Invasive Cardiac Surgery

Sarcopenia is an objective marker of poor outcome following cardiac surgery through median sternotomy. However, the clinical impact of sarcopenia after minimally invasive cardiac surgery (MICS) has not been well established. This study aimed to analyze the influence of sarcopenia on the early and late outcomes following MICS. We retrospectively examined 1248 patients who underwent MICS via right mini-thoracotomy or upper sternotomy between February 2009 and April 2020. Patients older than 65 years who underwent preoperative computed tomography were enrolled. Sarcopenia was defined as the lowest sex-specific quartile of the body surface area adjusted psoas muscle area. The early operative and late survival outcomes were compared, and the predictor of late composite outcome was analyzed using Cox proportional regression model. Early and late composite outcomes in both groups were also compared. A total of 367 patients were classified into the sarcopenia (n = 92) or non-sarcopenia (n = 275) group. Patients in the sarcopenia group were older, and had lower preoperative hemoglobin and albumin levels. They had higher estimated surgical mortality, but similar early mortality and major morbidity. The survival and late composite outcome were comparable between the two groups. Sarcopenia was neither an independent predictor of late death nor a composite outcome in the multivariable model. After MICS, patients with sarcopenia displayed comparable perioperative outcomes and survival. The clinical impact of sarcopenia on postoperative outcomes might be alleviated by MICS and early recovery protocol after MICS. MICS could be a reasonable approach for elderly patients with sarcopenia.

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.

A Meta-Analysis on the Impact of High BMI in Patients Undergoing Transcatheter Aortic Valve Replacement

BACKGROUND

A paradoxical association of obesity with lower risk of transcatheter aortic valve replacement (TAVR) outcomes has been reported. We aimed to systematically review the literature and compare TAVR-related morbidity and mortality among individuals with overweight or obesity and their peers with normal body mass index (BMI).

METHODS

PubMed and Embase databases were systematically searched for studies reporting TAVR outcomes in different BMI groups. Separate meta-analyses were conducted for studies reporting hazard ratios (HR) and odds ratios/relative risks. Short- and mid-/long-term outcomes were examined.

RESULTS

26 studies with a total of 74,163 patients were included in our study. Overweight was associated with lower risk of short-term mortality (HR: 0.77; 95% CI: 0.60-0.98) and mid-/long-term mortality (HR: 0.79; 95% CI: 0.70-0.89). Obesity was associated with lower risk for mid-/long-term mortality (HR: 0.79; 95% CI: 0.73-0.86), but no difference was observed in short-term mortality, although a trend was noted (HR: 0.87l 95% CI: 0.74-1.01). Individuals with obesity demonstrated an association with higher odds of major vascular complications (OR: 1.33; 95% CI: 1.05-1.68). Both overweight (OR: 1.16; 95% CI: 1.03-1.30) and obesity (OR: 1.26; 95% CI: 1.06-1.50) were associated with higher likelihood for receiving permanent pacemakers after TAVR.

CONCLUSION

Individuals with overweight and obesity were associated with lower mortality risk compared to those with normal BMI but with higher likelihood of major vascular complications and permanent pacemaker implantation after TAVR.

Prevalence of Low Muscle Mass in the Computed Tomography at the Third Lumbar Vertebra Level Depends on Chosen Cut-Off in 200 Hospitalised Patients-A Prospective Observational Trial

Measuring skeletal muscle area (SMA) at the third lumbar vertebra level (L3) using computed tomography (CT) is increasingly popular for diagnosing low muscle mass. The aim was to describe the effect of the CT L3 cut-off choice on the prevalence of low muscle mass in medical and surgical patients. Two hundred inpatients, who underwent an abdominal CT scan for any reason, were included. Skeletal muscle area (SMA) was measured according to Hounsfield units on a single CT scan at the L3 level. First, we calculated sex-specific cut-offs, adjusted for height or BMI and set at mean or mean-2 SD in our population. Second, we applied published cut-offs, which differed in statistical calculation and adjustment for body stature and age. Statistical calculation of the cut-off led to a prevalence of approximately 50 vs. 1% when cut-offs were set at mean vs. mean-2 SD in our population. Prevalence varied between 5 and 86% when published cut-offs were applied (p < 0.001). The adjustment of the cut-off for the same body stature variable led to similar prevalence distribution patterns across age and BMI classes. The cut-off choice highly influenced prevalence of low muscle mass and prevalence distribution across age and BMI classes.

Validation of bedside ultrasound to predict lumbar muscle area in the computed tomography in 200 non-critically ill patients: The USVALID prospective study

BACKGROUND & AIMS

Skeletal muscle area (SMA) in the computed tomography (CT) at the third lumbar vertebra (L3) level is a proxy for whole-body muscle mass but is only performed for clinical reasons. Ultrasound is a promising tool to determine muscle mass at the bedside. It is still unclear how well ultrasound and which ultrasound measuring points can predict CT L3 SMA.

METHODS

This prospective observational trial included 200 non-critically ill patients, who underwent an abdominal CT scan for any clinical reason within 48 h before the ultrasound examination. Ultrasound muscle thickness was evaluated at 3 measuring points on the thigh and 2 measuring points on the upper arm with minimal compression. On the CT scan, the entire L3 SMA was measured based on Hounsfield units. Using a model selection algorithm based on the Bayesian information criterion (BIC) and clinical considerations, a linear prediction model for CT L3 SMA based on the ultrasound muscle thickness and other independent variables was fitted and assessed with cross-validation.

RESULTS

67,5% and 32,5% of the patients were from surgical and medical wards, respectively. Mean ultrasound muscle thickness values were between 2,2 and 3,6 cm on the thigh and between 1,4 and 2,8 cm on the upper arm. All ultrasound muscle thickness values were higher in men than in women (P < 0,05). CT L3 SMA was 40 cm² higher in men than in women (P < 0,001). The final prediction model for CT L3 SMA included the following 4 independent variables: ultrasound muscle thickness at the ventral measuring point of the thigh in the short-axis plane, sex, weight, and height. It had a similar BIC (BIC of 1515) compared to larger models with 6-8 independent variables including multiple ultrasound measuring points (BIC of 1506-1519). Additional clinical considerations to choose the final model were less time consumption when measuring a single ultrasound measuring point and better anatomical overview at the short-axis plane. The final model predicted CT L3 SMA with a R² of 0,74 (P < 0,001) and a cross-validated R² of 0,65.

CONCLUSIONS

One single ultrasound measuring point at the thigh together with sex, height and weight very well predicts CT L3 SMA across different clinical populations. Ultrasound is a safe and bedside method to measure muscle thickness longitudinally to monitor the effects of nutrition and physical therapy.

Association of SARC-F Score and Rockwood Clinical Frailty Scale with CT-Derived Muscle Mass in Patients with Aortic Aneurysms

OBJECTIVES

Patients with aortic aneurysms (AA) are often co-morbid and susceptible to frailty. Low core muscle mass has been used as a surrogate marker of sarcopenia and indicator of frailty. This study aimed to assess association between core muscle mass with sarcopenia screening tool SARC-F and Clinical Frailty Scale (CFS) in patients with AA.

METHODS

Prospective audit of patients in pre-operative aortic clinic between 01/07/2019-31/01/2020 including frailty assessment using Rockwood CFS and sarcopenia screening using SARC-F questionnaire. Psoas and sartorius muscle area were measured on pre-operative CT scans and adjusted for height. Association was assessed using Spearman's rank correlation coefficient.

RESULTS

Of 84 patients assessed, median age was 75 years [72,82], 84.5% were men, 65.5% were multimorbid and 63.1% had polypharmacy. Nineteen percent were identified as frail (CFS score >3) and 6.1% positively screened for sarcopenia (SARC-F score 4 or more). Median psoas area (PMA) at L3 was 5.6cm2/m2 [4.8,6.6] and L4 was 7.4cm2/m2 [6.3,8.6]. Median sartorius area (SMA) was 1.8 cm2/m2 [1.5,2.2]. CFS demonstrated weak but statistically significant negative correlation with height-adjusted PMA at L3 (r=-0.25, p=0.034) but not at L4 (r=-0.23, p=0.051) or with SMA (r=-0.22, p=0.065). No association was observed between SARC-F score and PMA or SMA (L3 PMA r=-0.015, p=0.9; L4 PMA r=-0.0014, p= 0.99; SMA r=-0.051, p=0.67).

CONCLUSION

CFS showed higher association with CT-derived muscle mass than SARC-F. Comprehensive pre-operative risk-stratification tools which incorporate frailty assessment and body composition analysis may assist in decision making for surgery and allow opportunity for pre-habilitation.

Computed tomography measured psoas muscle attenuation predicts mortality after transcatheter aortic valve implantation

AIMS

The aim of this study was to determine if computed tomography (CT) psoas muscular attenuation measurements may predict all-cause mortality in patients undergoing TAVI.

METHODS

Ninety-four consecutive patients undergoing TAVI were analysed. The CT axial slice at the level of the fourth lumbar vertebra was selected. The psoas muscle areas were manually contoured. The circumferential surface area (CSA) of both psoas muscles was determined by selecting the voxels with attenuation values, ranging from 0 to 100 Hounsfield Units (HU). The mean CT attenuation coefficient of the psoas muscle (Psoas mean HU) was measured. The muscle was subdivided into a low-density muscle (LDM) (0-29 HU) and high-density muscle (HDM) (30-100 HU) portion. The HDM/LDM ratio was calculated. We searched for a correlation between HDM/LDM, CSA LDM (%), Psoas mean HU and all-cause mortality.

RESULTS

The mean age was 81.2 ± 7.5 years. Thirty patients had adverse outcome (all-cause mortality). Compared with patients with the lowest CSA LDM (%), patients in the third and second tertiles had an increased hazard ratio for mortality (2.871; 95% confidence interval 0.880-9.371 and 5.044; 95% confidence interval 1.641-15.795, respectively) in a multivariable model with EuroSCORE II, Barthel frailty index and CSA LDM (%) (P = 0.231, 0.097 and 0.019, respectively). HDM/LDM and Psoas mean HU (as continuous variable) were also independent predictors of all-cause mortality (P = 0.019, P = 0.013, respectively).

CONCLUSION

CSA LDM (%), Psoas mean HU and HDM/LDM are independent and incremental predictors of all-cause mortality in patients undergoing TAVI.

Impact of computed-tomography defined sarcopenia on outcomes of older adults undergoing transcatheter aortic valve implantation

BACKGROUND

The adoption of Computed tomography (CT)-defined sarcopenia to risk stratify transcatheter aortic valve implantation (TAVI) candidates remains limited by a lack of both standardized definition and evidence of independent value over currently adopted mortality prediction tools.

METHODS

391 consecutive TAVI patients with pre-procedural CT scan were included (81 ​± ​6 years, 57.5% male, STS-PROM score 4.4 ​± ​3.6%) and abdominal muscle retrospectively quantified. The two definitions of radiologic sarcopenia previously adopted in TAVI studies were compared (psoas muscle area [PMA] at the L4 vertebra level: "PMA-sarcopenia"; indexed skeletal muscle area at the L3 vertebra level: "SMI-sarcopenia"). The primary endpoint was longer available-term all-cause mortality. Secondary endpoints were Valve Academic Research Consortium-2-defined in-hospital and 30-day outcomes.

RESULTS

SMI- and PMA-sarcopenia were present in 192 (49.1%) and 117 (29.9%) patients, respectively. After a median of 24 (12-30) months follow-up, 83 (21.2%) patients died. PMA-(adj-HR 1.81, 95%CI 1.12-2.93, p ​= ​0.015), but not SMI-sarcopenia (adj-HR 1.23, 95%CI 0.76-2.00, p ​= ​0.391), was associated with all-cause mortality independently of age, sex and in-study outcome predictors (atrial fibrillation, hemoglobin, history of peripheral artery disease, cancer and subcutaneous adipose tissue). PMA-defined sarcopenia provided additive prognostic value over current post-TAVI mortality risk estimators including STS-PROM (p ​= ​0.001), Euroscore II (p ​= ​0.025), Charlson index (p ​= ​0.025) and TAVI2-score (p ​= ​0.020). Device success, early safety, clinical efficacy and 30-day all-cause death were unaffected by sarcopenia status regardless of definition.

CONCLUSIONS

PMA-sarcopenia (but not SMI-sarcopenia) is predictive of 2 year mortality among TAVI patients. The prognostic information provided by PMA-sarcopenia is independent of the tools currently adopted to predict post-TAVI mortality in clinical practice.

Psoas Muscle Volume and Attenuation are Better Predictors than Muscle Area for Hospital Readmission in Older Patients after Transcatheter Aortic Valve Implantation

OBJECTIVE

This study aimed to determine whether the psoas muscle volume (PMV) and its muscle attenuation (MA) are associated with hospital readmission after transcatheter aortic valve implantation (TAVI).

METHOD

We included 113 older patients with aortic stenosis who underwent TAVI at Sakakibara Heart Institute (mean age 85 ± 5 years, 69% women). We measured PMV and psoas muscle area (PMA) as well as total muscle area (TMA) at the third lumbar vertebra using preoperative computed tomography (CT) images. The crude values of the PMV, PMA, and TMA were normalized by dividing by height squared.

RESULTS

The median follow-up period was 724 days (interquartile range: 528-730 days), and there were 25 all-cause readmissions during the follow-up period (22% of all patients). In the multivariate Cox regression analysis adjusted for age, sex, and EuroSCORE II, the PMV and its MA and crude PMA were significantly associated with all-cause readmission [HR: 0.957 (0.930-0.985), p = 0.003, HR: 0.927 (0.862-0.997), p = 0.040], whereas the PMA and TMA and each MA were not (all p > 0.05). The groups with low PMV and MA had significantly higher incidences of all-cause readmission than that with high PMV and MA (log-rank test: p = 0.011).

CONCLUSION

PMV and its MA measured from preoperative CT images were independent predictors of all-cause readmission in TAVI patients.

Impact of Severe Sarcopenia on Rehospitalization and Survival One Year After a TAVR Procedure in Patients Aged 75 and Older

BACKGROUND

Transcatheter aortic-valve replacement (TAVR) reduces mortality and improves quality of life in patients with severe aortic valve stenosis. One third of patients have no benefit one year after TAVR. Sarcopenia, an age-related loss of skeletal muscle mass, is associated with increased physical disability and mortality. The main purpose was to evaluate the impact of severe sarcopenia on rehospitalization one year after TAVR in older patients.

METHODS

All patients aged ≥75 referred for a TAVR in 2018 were included. Severe sarcopenia was defined by a loss of skeletal muscle mass defined on CT-scan measurement associated with a gait speed ≤0.8m/s. The main outcome was rehospitalization one year after TAVR.

RESULTS

Median age of the 182 included patients was 84, and 35% had an unplanned hospitalization at one year. Severe sarcopenia was diagnosed in 9 patients (4.9%). Univariable analysis showed that gait speed was a factor associated with readmission [HR=0.32, 95% CI (0.10-0.97), p=0.04] but not severe sarcopenia. In multivariable analysis, only diabetes was significantly associated with rehospitalization [HR=2.06, 95% CI (1.11-3.84), p=0.02]. Prevalence of severe sarcopenia varied according to different thresholds of skeletal muscle mass on CT-scan.

CONCLUSION

Even though severe sarcopenia was not correlated with rehospitalization and mortality at one year after TAVR, our results emphasize the changes in the prevalence according to cutoff used. It highlights the need to define standardized methods and international threshold for sarcopenia diagnosis by CT-scan measurements, in general population and for patients with valvular heart disease.

Impact of Morbid Obesity and Obesity Phenotype on Outcomes After Transcatheter Aortic Valve Replacement

Background There is a paucity of outcome data on patients who are morbidly obese (MO) undergoing transcatheter aortic valve replacement. We aimed to determine their periprocedural and midterm outcomes and investigate the impact of obesity phenotype. Methods and Results Consecutive patients who are MO (body mass index, ≥40 kg/m², or ≥35 kg/m² with obesity-related comorbidities; n=910) with severe aortic stenosis who underwent transcatheter aortic valve replacement in 18 tertiary hospitals were compared with a nonobese cohort (body mass index, 18.5-29.9 kg/m², n=2264). Propensity-score matching resulted in 770 pairs. Pre-transcatheter aortic valve replacement computed tomography scans were centrally analyzed to assess adipose tissue distribution; epicardial, abdominal visceral and subcutaneous fat. Major vascular complications were more common (6.6% versus 4.3%; P=0.043) and device success was less frequent (84.4% versus 88.1%; P=0.038) in the MO group. Freedom from all-cause and cardiovascular mortality were similar at 2 years (79.4 versus 80.6%, P=0.731; and 88.7 versus 87.4%, P=0.699; MO and nonobese, respectively). Multivariable analysis identified baseline glomerular filtration rate and nontransfemoral access as independent predictors of 2-year mortality in the MO group. An adverse MO phenotype with an abdominal visceral adipose tissue:subcutaneous adipose tissue ratio ≥1 (VAT:SAT) was associated with increased 2-year all-cause (hazard ratio [HR], 3.06; 95% CI, 1.20-7.77; P=0.019) and cardiovascular (hazard ratio, 4.11; 95% CI, 1.06-15.90; P=0.041) mortality, and readmissions (HR, 1.81; 95% CI, 1.07-3.07; P=0.027). After multivariable analysis, a (VAT:SAT) ratio ≥1 remained a strong predictor of 2-year mortality (hazard ratio, 2.78; P=0.035). Conclusions Transcatheter aortic valve replacement in patients who are MO has similar short- and midterm outcomes to nonobese patients, despite higher major vascular complications and lower device success. An abdominal VAT:SAT ratio ≥1 identifies an obesity phenotype at higher risk of adverse clinical outcomes.

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.

Frailty is an independent risk factor of one-year mortality after elective orthopedic surgery: a prospective cohort study

Frailty is associated with perioperative adverse outcomes, especially for the elderly. This study aimed to assess whether frailty was an independent risk factor of one-year mortality in frail patients after elective orthopedic surgery. In this prospective study, three hundred and thirteen patients aged ≥ 65 years, undergoing elective orthopedic surgery were finally included. Frailty assessed by the Clinical Frailty Score (CFS) before the surgery was present in 29.7% (93/313). Among them, 7.7% of patients (24/313) died at one year after surgery. In multivariate logistic analysis, higher CFS (OR = 2.271, 95% CI= 1.472–3.504) was found to be an independent risk factor of one-year mortality after surgery in elderly orthopedic patients. The area under the receiver operating characteristic curve of the model was 0.897 (95% CI 0.834–0.959). In addition, we found higher Charlson comorbidity index (OR= 1.498, 95% CI = 1.082–2.073) was also a significant risk factor. In conclusion, frailty is associated with increased one-year mortality in elderly patients after elective orthopedic surgery, which should be considered as a routine assessment tool in preoperative practice.

Systematic review and meta-analysis of lean mass and mortality: Rationale and study description

Objectives

Muscle mass is one of the key components in defining sarcopenia and is known to be important for locomotion and body homeostasis. Lean mass is commonly used as a surrogate of muscle mass and has been shown to be associated with increased mortality. However, the relationship of lean mass with mortality may be affected by different clinical conditions, modalities used, cut-off point to define low or normal lean mass, and even types of cancer among cancer patients. Thus, we aim to perform a comprehensive meta-analysis of lean mass with mortality by considering all these factors.

Methods

Systematic search was done in PubMed, Cochrane Library and Embase for articles related to lean mass and mortality. Lean mass measured by dual X-ray absorptiometry, bioelectrical impedance analysis, and computerized tomography were included.

Results

The number of relevant studies has increased continuously since 2002. A total of 188 studies with 98 468 people were included in the meta-analysis. The association of lean mass with mortality was most studied in cancer patients, followed by people with renal diseases, liver diseases, elderly, people with cardiovascular disease, lung diseases, and other diseases. The meta-analysis can be further conducted in subgroups based on measurement modalities, site of measurements, definition of low lean mass adopted, and types of cancer for studies conducted in cancer patients.

Conclusions

This series of meta-analysis provided insight and evidence on the relationship between lean mass and mortality in all directions, which may be useful for further study and guideline development.

Usefulness of Thoracic Aortic Calcium to Predict 1-Year Mortality After Transcatheter Aortic Valve Implantation

In patients who underwent transcatheter aortic valve implantation (TAVI), vascular disease is associated with increased risk of mortality. Thoracic aortic calcification (TAC), an objective surrogate of vascular disease, could be a predictor of mortality after TAVI. We aimed to analyze the association between TAC burden and 1-year all-cause mortality in patients who underwent TAVI in a US population. From July 2015 through July 2017, a retrospective review of TAVI procedures was performed at Baylor Scott & White-The Heart Hospital, Plano, Texas. Patients were analyzed for comorbidities, cardiac risk factors, and 30-day and 1-year all-cause mortality. Restricted cubic splines analysis was used to define low, moderate, and high TAC categories. The association between TAC and survival was evaluated using unadjusted and adjusted Cox models. A total of 431 TAVI procedures were performed, of which TAC was measured in 374 (81%) patients. Median (interquartile range) age was 82 (77, 87) years, and 51% were male. Median (interquartile range) STS PROM was 5.6 (4.1, 8.2) %. Overall 30-day and 1-year all-cause mortality was 1% and 10%, respectively. TAC was categorized as low (<1.6 cm³), moderate (1.6 to 2.9 cm³), and high (>2.9 cm³). At 1 year, all-cause mortality was 16% in patients with high TAC compared with 6% in the low and moderate TAC categories (p = 0.008). Unadjusted and adjusted Cox regression analysis showed a significant increase in mortality for patients with high TAC compared with low TAC (hazard ratio 2.98, 95% confidence interval [1.34-6.63]), but not significant compared with moderate TAC group. TAC is a predictor of late mortality after TAVI. In conclusion, adding TAC to preoperative evaluation may provide an objective, reproducible, and potentially widely available tool that can help in shared decision-making.

Clinical Outcomes of Subcutaneous and Visceral Adipose Tissue Characteristics Assessed in Patients Underwent Transcatheter Aortic Valve Replacement

BACKGROUND

Adipose tissue (AT) characteristics are considered to be a marker for predicting clinical outcomes. This study aimed to investigate the prognostic value of subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) computed tomography (CT) assessment in patients who underwent transcatheter aortic valve replacement (TAVR).

METHODS

We used the Japanese multicentre registry data of 1372 patients (age: 84.5 ± 5.0 years, women: 70.6%) who underwent TAVR. The SAT and VAT were assessed according to the preprocedural CT area and density. Baseline characteristics and clinical outcomes were compared based on the differences in AT characteristics. The independent associations with all-cause mortality after TAVR were evaluated according to the CT area and density of AT.

RESULTS

Low-volume area of SAT and VAT was associated with worse clinical outcomes compared with high-volume area of SAT and VAT in patients who underwent TAVR (log-rank test P = 0.016 and P = 0.014). High CT density of SAT and VAT was associated with increasing mortality in comparison with low CT density of SAT and VAT (log-rank test P < 0.001 and P = 0.007). The Cox regression multivariate analysis demonstrated the independent association of increased all-cause mortality in the high SAT and VAT density (hazard ratio [HR]: 1.41, 95% confidence interval [CI]: 1.06-1.88, P = 0.019, and HR: 1.34, 95% CI: 1.03-1.76, P = 0.031, respectively), but not in the low SAT and VAT area (HR: 0.85, 95% CI: 0.74-1.29, P = 0.85, and HR: 0.78, 95% CI: 0.60-1.03, P = 0.085, respectively).

CONCLUSIONS

CT-derived AT characteristics, particularly the qualitative assessments, were useful for predicting the prognosis in patients after TAVR.

Prognostic Value of Baseline Sarcopenia on 1-year Mortality in Patients Undergoing Transcatheter Aortic Valve Implantation

There is limited data regarding the association between sarcopenia and clinical outcomes in patients who underwent transcatheter aortic valve implantation (TAVI). From the prospective ASAN-TAVI registry, we evaluated a total of 522 patients with severe aortic stenosis who underwent TAVI between March 2010 and November 2018. Routine pre-TAVI computed tomography scan was used to calculate the skeletal muscle index (SMI), which was defined as skeletal muscle area at the L3 level divided by height squared; subject patients were classified into the gender-specific tertile groups of SMI. The patients' mean age was 79 years and 49% were men. Mean SMI values were 41.3 ± 6.7 cm²/m² in men and 34.1 ± 6.5 cm²/m² in women. The Kaplan-Meier estimates of all-cause mortality at 12 months were higher in the low-tertile group than in the mid- and high-tertile groups (15.5%, 7.1%, and 6.2%, respectively; p = 0.036). In multivariate analysis, low-tertile of SMI was an independent predictor of mortality (vs high-tertile of SMI, hazard ratio 2.69; 95% confidence interval, 1.18 to 6.12; p = 0.019). The all-cause mortality was substantially higher in the groups with high-surgical risk plus low SMI tertile. The risk assessment with addition of SMI on conventional STS-PROM score was significantly improved by statistical measures of model reclassification and discrimination. In patients who underwent TAVI, sarcopenia measured by SMI was significantly associated with an increased risk of 1-year mortality. The prognostic impact of SMI-measured sarcopenia was more prominent in patients with high surgical risks.

Sarcopenia in Patients Undergoing Transcatheter Aortic Valve Implantation (TAVI): A Systematic Review of the Literature

BACKGROUND

In older patients, sarcopenia is a prevalent disease associated with negative outcomes. Sarcopenia has been investigated in patients undergoing transcatheter aortic valve implantation (TAVI), but the criteria for diagnosis of the disease are heterogeneous. This systematic review of the current literature aims to evaluate the prevalence of sarcopenia in patients undergoing TAVI and to analyse the impact of sarcopenia on clinical outcomes.

METHODS

A comprehensive search of the literature has been performed in electronic databases from the date of initiation until March 2020. Using a pre-defined search strategy, we identified studies assessing skeletal muscle mass, muscle quality and muscle function as measures for sarcopenia in patients undergoing TAVI. We evaluated how sarcopenia affects the outcomes mortality at ≥1 year, prolonged length of hospital stay, and functional decline.

RESULTS

We identified 18 observational studies, enrolling a total number of 9'513 patients. For assessment of skeletal muscle mass, all included studies used data from computed tomography. Cut-off points for definition of low muscle mass were heterogeneous, and prevalence of sarcopenia varied between 21.0% and 70.2%. In uni- or multivariate regression analysis of different studies, low muscle mass was found to be a significant predictor of mortality, prolonged length of hospital stay, and functional decline. No interventional study was identified measuring the effect of nutritional or physiotherapy interventions on sarcopenia in TAVI patients.

CONCLUSIONS

Sarcopenia is highly prevalent among patients undergoing TAVI, and negatively affects important outcomes. Early diagnosis of this condition might allow a timely start of nutritional and physiotherapy interventions to prevent negative outcomes in TAVI patients.

Skeletal Muscle Characteristics May Inform Preprocedural Risk Stratification in Transcatheter Aortic Valve Replacement Patients

OBJECTIVES

Low psoas muscle mass previously has been associated with mortality after transcatheter aortic valve replacement (TAVR). Evidence from other clinical disciplines suggests that psoas density (PD) may be a better predictor than psoas muscle cross-sectional area indexed to body surface area (PI). The authors hypothesized that PD would be more strongly correlated with patient discharge disposition and survival after TAVR than PI.

DESIGN

The authors performed a single-center, retrospective study of TAVR patients from 2013 to 2016. PI and PD were assessed at the third lumbar spine level using computed tomography imaging. Propensity-score matching was used to investigate the association of PI and PD with discharge disposition and mortality.

SETTING

Tertiary university hospital PARTICIPANTS: Cohort of 245 TAVR patients.

INTERVENTIONS

None MEASUREMENTS AND MAIN RESULTS: A total of 245 patients met inclusion criteria. Following propensity score matching, patients with PI <4 cm²/m² and PD <25 Hounsfield units (HU) were less likely to survive and to be discharged home compared with patients with PI ≥4 cm²/m² or PD >25 HU. After repeating the propensity score matching with PI as a covariable, PD remained associated with mortality (90 days: odds ratio [OR] 4.59; 95% confidence interval [CI] 2.96-10.31, p < 0.001, 1 year: OR 6.14; 95% CI 3.45-28.57, p = 0.01, 3 years: OR 4.55; 95% CI 2.41-40.00, p = 0.03).

CONCLUSIONS

PD may be more relevant than PI in risk stratification for TAVR patients.

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.

Sarcopenia and health-related quality of life in older adults after transcatheter aortic valve replacement

BACKGROUND

Skeletal muscle wasting, or sarcopenia, affects a significant proportion of patients undergoing transcatheter aortic valve replacement (TAVR). However, its influence on post-TAVR recovery and 1-year health-related quality of life (HR-QOL) remains unknown. We examined the relationship between skeletal muscle index (SMI), post-TAVR length of hospital stay (LOS), and 1-year QOL.

METHODS

The study sample consisted of 300 consecutive patients undergoing TAVR from 2012 to 2018 who had pre-TAVR computed tomographic scans suitable for analysis of body composition. Skeletal muscle mass was quantified as cm² of skeletal mass per m² of body surface area from the cross-sectional computed tomographic image at the third lumbar vertebra. Sarcopenia was defined using established sex-specific cutoffs (women: SMI < 39 cm²/m²; men: < 55 cm²/m²). Multivariable linear regression analysis was used to determine the relationship between SMI, LOS, and HR-QOL using the Kansas City Cardiomyopathy Questionnaire.

RESULTS

Sarcopenia was present in most (59%) patients and associated with older age (82 vs 76 years; P < .001) and lower body mass index (27 vs 33 kg/m²; P < .001). There were no other differences in baseline clinical or echocardiographic characteristics among the 4 quartiles of SMI. SMI was positively correlated with LOS and 1-year QOL. After adjusting for age, gender, race, and body mass index, SMI remained a significant predictor of both LOS (P = .01) and 1-year QOL (P = .012). For every 10 cm²/m² higher SMI, there was an 8-point increase in Kansas City Cardiomyopathy Questionnaire score, a difference that is clinically meaningful.

CONCLUSIONS

Sarcopenia is prevalent in TAVR patients. Higher SMI is associated with shorter LOS and better 1-year HR-QOL. To achieve optimal TAVR benefits, further study into how body composition influences post-TAVR recovery and durable improvement in QOL is warranted.

Hospital-Acquired Functional Decline and Clinical Outcomes in Older Patients Undergoing Transcatheter Aortic Valve Implantation

BACKGROUND

This study aimed to assess the relationship between hospital-acquired functional decline and the risk of mid-term all-cause death in older patients undergoing transcatheter aortic valve implantation (TAVI).Methods and Results:In total, 463 patients (mean age 85 years, interquartile range [IQR]: 82, 88) undergoing elective TAVI at Sakakibara Heart Institute between 2010 and 2018, who were followed up for 3 years, were enrolled in the study. Hospital-acquired functional decline after TAVI, which was defined by at least a 1-point decrease on the Short Physical Performance Battery before discharge compared to the preoperative score, was assessed. A total of 113 patients (24.4%) showed hospital-acquired functional decline after TAVI, and 50 (11.3%) patients died over a mean follow-up period of 1.9±0.8 years. Kaplan-Meier survival curves indicated that hospital-acquired functional decline was significantly associated with all-cause mortality (log-rank test, P=0.001). On multivariate Cox regression analysis, hospital-acquired functional decline was associated with a higher risk of all-cause mortality (OR 2.108, 95% CI 1.119-3.968, P=0.021) independent of sex, body mass index, advanced chronic kidney disease, and preoperative frailty, as assessed by the modified essential frail toolkit.

CONCLUSIONS

Hospital-acquired functional decline is associated with mid-term all-cause mortality in older patients following TAVI. Trajectory of functional status is a vital sign, and it is useful for risk stratification in older patients following TAVI.

Preoperative frailty parameters as predictors for outcomes after transcatheter aortic valve implantation: a systematic review and meta-analysis

Guidelines suggest using frailty characteristics in the work-up for a transcatheter aortic valve implantation (TAVI). There are many frailty-screening tools with different components. The prognostic value of the individual parameters in frailty is as yet unclear. The objective of this systematic review and meta-analysis was to find and pool predictors for 1‑year mortality after TAVI. We followed a two-step approach. First, we searched for randomised controlled trials on TAVI to identify frailty parameters used in these studies. Second, we searched for publications on these frailty parameters. Articles were included for pooled analysis if the studied frailty parameters were dichotomised with clear cut-off values based on common standards or clinical practice and reported adjusted hazard ratios (HR) of 1‑year mortality after TAVI. We calculated pooled effect estimates of 49 studies based on dichotomised frailty scores (HR: 2.16, 95% CI: 1.57–3.00), chronic lung disease (HR: 1.57, 95% CI: 1.45–1.70), estimated glomerular filtration rate <30 ml/min (HR: 1.95, 95% CI: 1.68–2.29), body mass index <20 kg/m² (HR: 1.49, 95% CI: 1.09–2.03), hypoalbuminaemia (HR: 1.77, 95% CI: 1.38–2.25), anaemia (HR: 2.08, 95% CI: 0.93–4.66), low gait speed (HR: 13.33, 95% CI: 1.75–101.49) and Katz activities of daily living (ADL) score of 1 or more deficits (HR: 5.16, 95% CI: 0.77–34.47). Chronic lung disease, chronic kidney disease, underweight, hypoalbuminaemia, a low frailty score, anaemia, low gait speed and an ADL deficiency were associated with worse 1‑year outcomes after TAVI.

Computed Tomography-Determined Muscle Quality Rather Than Muscle Quantity Is a Better Determinant of Prolonged Hospital Length of Stay in Patients Undergoing Transcatheter Aortic Valve Implantation

RATIONALE AND OBJECTIVES

Computed tomography (CT)-determined skeletal muscle measures have been used for predicting postoperative outcomes in patients undergoing transcatheter aortic valve implantation (TAVI). We investigated the impact of CT-determined muscle quantity (measured as psoas muscle area [PMA] and psoas muscle index [PMI]) and quality (measured as psoas muscle density [PMD]) on hospital length of stay (LOS) after TAVI.

METHODS

We retrospectively identified 182 consecutive patients who underwent TAVI between March 2013 and August 2017 with adequate preprocedural CT imaging. Baseline demographic and clinical data, the Society of Thoracic Surgeons score, the essential frailty toolset (EFT) frailty rating, and precontrast PMD, PMA, and PMI were obtained in all study patients. The primary outcome was prolonged postoperative LOS defined as greater than 14 days.

RESULTS

Patients with prolonged LOS had a significantly higher Society of Thoracic Surgeons score (p < 0.001) and significantly lower PMD (p < 0.001) than those with LOS ≤14 days. More patients with prolonged LOS had concomitant peripheral vascular disease (p  = 0.001), had undergone percutaneous coronary interventions (p = 0.022), and had an EFT score ≥4 (p < 0.001) compared to those without prolonged LOS. Neither PMA (p = 0.123) nor PMI (p = 0.271) were associated with prolonged LOS. Multivariate analysis identified EFT score ≥4, the presence of peripheral vascular disease, and PMD as independent predictors of prolonged LOS.

CONCLUSION

The precontrast CT-determined muscle quality measurement PMD is a simple and objective predictor of prolonged LOS after TAVI.

Transcatheter aortic valve replacement outcomes in patients with sarcopaenia

AIMS

Sarcopaenia is a prevalent disease of ageing, associated with adverse clinical outcomes. We aimed to compare in-hospital adverse outcomes and overall mortality in sarcopaenic and non-sarcopaenic patients undergoing transcatheter aortic valve replacement (TAVR).

METHODS AND RESULTS

This was a retrospective cohort study including 602 patients who underwent TAVR. Sarcopaenia was defined as skeletal muscle mass index <55.4 cm2/m2 in males and <38.9 cm2/m2 in females obtained through pre-TAVR CT scan. Mortality, length of hospital stay, ICU admission, and Valve Academic Research Consortium (VARC)-2-defined post-TAVR complications were defined as outcomes. Study participants (mean age 80.9±8.9 years and 56.8% male) were followed for a median of 1.5 years. Two thirds of the TAVR population was sarcopaenic. In-hospital outcomes were similar in both groups; however, overall survival was worse in sarcopaenic patients (HR for mortality=1.46 [1.06-2.14], p=0.02). In a multivariable model, sarcopaenia, porcelain aorta, pre-TAVR atrial fibrillation/flutter, severe chronic kidney disease, chronic pulmonary disease, VARC-2 bleeding, acute renal failure following TAVR, and post-TAVR cardiac arrest were predictors of mortality.

CONCLUSIONS

Sarcopaenic patients had similar in-hospital clinical outcomes to non-sarcopaenic patients following TAVR which reveals TAVR safety in sarcopaenic patients. However, sarcopaenia was an independent risk factor for midterm mortality indicating its potential value in systematic evaluation of this highly comorbid population in order to decide the best treatment approaches.

A sex-specific evaluation of predicted lean and fat mass composition and cardiovascular disease onset and progression: A combined analysis of the ATTICA and GREECS prospective epidemiological studies

OBJECTIVES

To evaluate the association of predicted lean and fat mass on 10-year first and recurrent CVD incidence separately for men and women.

METHODS

Two prospective studies, ATTICA (2002-2012, n=3042 subjects free-of-CVD, n=1514 men (46±13 years) and n=1528 women (45±14 years)) and GREECS (2004-2014, n=2172 subjects with acute coronary syndrome (ACS), n=1649 men (65±13 years) and n=523 women (62±11 years)) were used. Lean mass index (LMI) and fat mass index (FMI) were created through total body lean and fat mass (indirectly calculated through population formulas based on body weight, height and waist circumference) divided by height squared. Follow-up was performed in n=2020 of ATTICA (n=317 first CVD events) and in n=2172 patients of GREECS (n=811 recurrent CVD events).

RESULTS

In ATTICA study, CVD rate from 1st to 3rd FMI tertile was 9.4%, 16.1% and 19.9% while in GREECS 36.2%, 37.0%, 38.3%. The LMI-related rates were 17.1%, 15.0% and 11.9% vs. 38.8%, 35.8% and 36.7%. Multiadjusted analysis revealed U-shape trend between LMI and CVD recurrence with 2nd LMI tertile having the best prognosis; this observation was more evident in women. In apparently healthy subjects, LMI-cardioprotective association was revealed only in 3rd tertile (HR=0.91 95%CI (0.74, 0.95)); this was more evident in men. The FMI aggravating association (3rd tertile) was retained significant only in healthy women and ACS men.

CONCLUSION

This work expands previous findings regarding body composition and cardiac health, implying that the association of lean and fat mass on long-term CVD incidence varies according to sex and prevention stage.

Prognostic Impact of Low Skeletal Muscle Mass on Major Adverse Cardiovascular Events in Coronary Artery Disease: A Propensity Score-Matched Analysis of a Single Center All-Comer Cohort

The impact of sarcopenia on atherosclerotic cardiovascular disease remains unclear. We aimed to investigate the prognostic impact of sarcopenia on coronary artery disease (CAD). A total of 475 patients with CAD who underwent successful percutaneous coronary intervention (PCI) and computed tomography (CT) were enrolled. The cross-sectional area of skeletal muscle at the first lumbar (L1) vertebral level was measured, and sex-specific cut-off values of L1 skeletal muscle index (L1 SMI; male <31.00 cm²/m², female <25.00 cm²/m²) were obtained. The primary outcome was 3-year all-cause mortality and the secondary outcome was 3-year major adverse cardiovascular events (MACEs). Low L1 SMI was present in 141 (29.7%) of 475 patients. The incidence of all-cause mortality (23.7% vs. 5.9%, p < 0.001) and MACEs (39.6% vs. 11.8%, p < 0.001) was significantly higher in patients with low L1 SMI than in those with high L1 SMI. In multivariate analysis, low L1 SMI was an independent predictor of higher risk of all-cause mortality (hazard ratio (HR): 4.07; 95% confidence interval (CI): 1.95–8.45; p < 0.001) and MACEs (HR: 3.76; 95% CI: 2.27–6.23; p < 0.001). These findings remained consistent after propensity score-matched analysis with 91 patient pairs (C-statistic = 0.848). CT-diagnosed low skeletal muscle mass is a powerful predictor of adverse outcomes in patients with CAD undergoing PCI.

Prognostic value of sarcopenic obesity estimated by computed tomography in patients with cardiovascular disease and undergoing surgery

BACKGROUND

Sarcopenic obesity is a health condition involving a combination of excess adipose tissue and loss of muscle mass. Although sarcopenic obesity is known to contribute to the morbidity and mortality of chronic diseases, limited data are available in patients with cardiovascular disease. The present study was performed to examine whether sarcopenic obesity determined by preoperative computed tomography (CT) is a useful predictor of postoperative mortality in patients undergoing cardiovascular surgery.

METHODS

We reviewed the findings in 664 consecutive cardiovascular surgery patients (mean age, 65.8±12.7 years; male, 66.6%) who underwent preoperative CT including the level of the third lumbar vertebra for clinical purposes. Psoas muscle attenuation (MA) and visceral adipose tissue (VAT) were measured as metrics of sarcopenia and obesity, respectively. Sarcopenia was defined as low MA (below median), while obesity was defined as high VAT (≥103cm² for males and ≥69cm² for females). The endpoint was all-cause mortality and secondary outcomes were muscle function.

RESULTS

After adjusting for age and sex, sarcopenic obesity showed significant associations with lower grip strength and quadriceps strength, slower gait speed, and shorter 6-min walking distance compared to the normal group (p<0.05). On multivariate Cox regression analysis, sarcopenic obesity was associated with increased risk of mortality after adjusting for EuroSCORE (hazard ratio, 3.04; 95% confidence interval, 1.25-7.40).

CONCLUSIONS

Sarcopenic obesity is associated with poor muscle function and all-cause mortality in patients undergoing cardiovascular surgery.

Usefulness of skeletal muscle area detected by computed tomography to predict mortality in patients undergoing transcatheter aortic valve replacement: a meta-analysis study

Measures of sarcopenia, such as low muscle mass measured from the readily available preoperative computed tomography (CT) images, have been recently suggested as a predictor of outcomes in patients undergoing transcatheter aortic valve replacement (TAVR). However, results of these studies are variable and, therefore, we performed a systematic review of current literature to evaluate sarcopenia as a predictor of outcome post TAVR. The search was carried out in electronic databases between 2008 and 2018. We identified studies that reported CT-derived skeletal muscle area (SMA) and survival outcomes post TAVR. Studies were evaluated for the incidence of early (≤ 30 days) and late all-cause mortality (> 30 days) post TAVR. Eight studies with 1881 patients were included (mean age of 81.8 years ± 12, 55.9% men). Mean body mass index was (28.2 kg/m² ± 1.1), mean Society of Thoracic Surgeons risk score (7.0 ± 0.6), and mean albumin level was (3.8 g/dL ± 0.1). Higher SMA was associated with lower long-term mortality [odds ratio (OR) 0.49, 95% confidence interval (CI) 0.28-0.83, p = 0.049], compared with low SMA. Also, higher SMA was associated with lower early mortality but was not statistically significant (OR 0.72; 95% CI 0.44-1.18; p = 0.285). CT-derived SMA provides value in predicting post-TAVR long-term outcomes for patients undergoing TAVR. This is a simple risk assessment tool that may help in making treatment decisions and help identifying and targeting high-risk patients with interventions to improve muscle mass prior to and following the procedures.