AI Article Synopsis
- * Data was collected from 586 hospitalized patients, with 257 diagnosed with sarcopenia, showing that a higher number of prescribed medications at hospital admission negatively impacted their swallowing ability and nutritional status.
- * The findings suggest that alongside nutritional and exercise therapies, reevaluating and optimizing prescribed medications could enhance recovery for post-stroke patients with sarcopenia.
Article Abstract
Evidence on polypharmacy in patients with sarcopenia is lacking. We aimed to examine the association of polypharmacy with swallowing function and nutritional risk in post-stroke patient with sarcopenia. This retrospective cohort study included hospitalized patients diagnosed with sarcopenia who needed convalescent rehabilitation following stroke onset. Study outcomes were the Food Intake Level Scale (FILS) as dysphagia assessment and geriatric nutritional risk index (GNRI) as nutritional status at hospital discharge, respectively. To examine the impact of admission polypharmacy, multivariate linear regression analyses were used to determine whether the number of drugs prescribed at hospital admission was associated with these outcomes. As a result, of the 586 patients enrolled, 257 (mean age 79.3 years, 44.0% male) were diagnosed with sarcopenia and were finally analyzed high admission drug prescription numbers were independently associated with FILS (β = -0.133, = 0.017) and GNRI (β = -0.145, = 0.003) at hospital discharge, respectively. Polypharmacy is associated with dysphagia and malnutrition in post-stroke patients with sarcopenia. In addition to the combination of nutritional and exercise therapies, review and optimization of prescription medications may be warranted to treat sarcopenia in order to maximize improvement in outcomes for these patients.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9609259 | PMC |
| http://dx.doi.org/10.3390/nu14204251 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Erector Spinae Muscle to Epicardial Visceral Fat Ratio on Chest CT Predicts the Severity of Coronavirus Disease 2019.
J Cachexia Sarcopenia Muscle
February 2025
Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Background: Chest computed tomography (CT) is a valuable tool for diagnosing and predicting the severity of coronavirus disease 2019 (COVID-19) and assessing extrapulmonary organs. Reduced muscle mass and visceral fat accumulation are important features of a body composition phenotype in which obesity and muscle loss coexist, but their relationship with COVID-19 outcomes remains unclear. In this study, we aimed to investigate the association between the erector spinae muscle (ESM) to epicardial adipose tissue (EAT) ratio (ESM/EAT) on chest CT and disease severity in patients with COVID-19.
View Article and Find Full Text PDFShould adrenal incidentaloma patients be evaluated for muscle mass, function, and quality? A cross-sectional study.
Endocrine
January 2025
Department of Endocrinology and Metabolic Diseases, Manisa Celal Bayar University Hospital, Manisa, Turkey.
Purpose: Our study evaluated skeletal muscle mass, function and quality among mild autonomous cortisol secretion (MACS) patients and non-functioning adrenal incidentaloma (NFAI) patients in comparison with the control group without adrenal mass.
Methods: 63 NFAI (49 female, 14 male) and 31 MACS (24 female, 7 male) patients were included in the study. As the control group, 44 patients (31 women, 13 men) who were known to have no radiological adrenal pathology on computed tomography or magnetic resonance imaging performed for other reasons were selected.
Association between sarcopenia and weight-adjusted waist index in male patients with type 2 diabetes.
BMC Endocr Disord
January 2025
Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
Background: The Weight-adjusted-waist index (WWI) has emerged as a predictive factor for a range of metabolic disorders. To date, the predictive value of the WWI in relation to sarcopenia in individuals with diabetics has not been extensively explored. This study aims to investigate the impact of the WWI on the prevalence of sarcopenia among patients with type 2 diabetes mellitus (T2DM).
View Article and Find Full Text PDFUnveiling the relation between swallowing muscle mass and skeletal muscle mass in head and neck cancer patients.
Eur Arch Otorhinolaryngol
January 2025
Department of Otorhinolaryngology, Head and Neck Surgery, University Medical Center Groningen, University of Groningen, Hanzeplein 1, PO box 30.001, Groningen, 9700RB, The Netherlands.
Purpose: Sarcopenia, characterized by loss of skeletal muscle mass (SMM) and strength, often leads to dysphagia in the elderly. This condition can also worsen treatment outcomes in head and neck cancer (HNC) patients, who are susceptible to swallowing difficulties. This study aimed to establish the correlation between swallowing muscle mass (SwMM) and SMM in HNC patients.
View Article and Find Full Text PDFPreoperative myosteatosis and perioperative serum chloride levels predict 180 day major complications after radical cystectomy.
Sci Rep
January 2025
Division of Urology, Department of Surgery, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
This study aimed to investigate the role of myosteatosis, sarcopenia, and perioperative serum biomarkers as independent predictors of major complications within 180 days following radical cystectomy (RC) for muscle-invasive bladder cancer (MIBC). We retrospectively analyzed of 127 MIBC patients who underwent RC between 2013 and 2023 at a single institution. Preoperative body composition was assessed using CT scans at the L3 vertebral level to measure psoas muscle density (PMD), skeletal muscle density (SMD), axial muscle density (AMD), and muscle indices.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!