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.
<b><i>Background:</i></b> For patients with transcatheter aortic valve replacement (TAVR), increased length of stay (LOS) is associated with increased long-term mortality. The main objective of our study was to analyze the association between geriatrics factors and the hospital LOS for older patients undergoing TAVR for severe aortic stenosis. <b><i>Methods:</i></b> This retrospective single-center study included all patients aged ≥75 who underwent TAVR between January 2018 and January 2019. Hospital LOS and postoperative complications were analyzed regarding the geriatric factors recorded during a systematic preoperative, comprehensive geriatric assessment (CGA). The individualized-care plans established after the preoperative CGA were also analyzed. <b><i>Results:</i></b> median LOS of the 196 patients included was 6 days (interquartile range: 4–8), and 29% of patients had prolonged LOS. In a multivariable analysis, the preoperative factors associated with a prolonged hospital LOS were EuroSCORE I (<i>p</i> value = 0.02), prior major neurocognitive disorders (<i>p</i> value = 0.01), femoral access (<i>p</i> value <0.001), all complications (<i>p</i> value <0.001), and discharge in a rehabilitation center (<i>p</i> value <0.001). One-fourth (27%) of the patients had at least 1 geriatric complication. After CGA, 69 patients did not need any geriatric recommendation, whereas for the 127 other patients, an individualized-care plan was established but only 46 (36%) of them were followed up. <b><i>Conclusion:</i></b> Our results favor the preoperative screening for major neurocognitive disorders in order to reduce LOS. Furthermore, the proposed individual-care plans after CGA were poorly followed. Practitioners may perceive the preoperative CGA as a screening tool, but its primary objective is to develop an individualized-care plan as a prehabilitation plan in order to optimize the physical, functional, and social issues.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.