BACKGROUND

Hand grip strength (HGS) is a tool to measure muscle strength, which is an important component in sarcopenia and frailty. Grip strength (GS) in midlife can predict physical disability in senior years and help evaluate a patient's overall health.

The general purpose of this study is to validate the HGS using an aneroid sphygmomanometer and Jamar dynamometer as a diagnostic tool for sarcpenia. The specific aims of this study are (a) to determine the concurrent criterion validity, (b) to determine the reliability, and (c) to measure the inter-rater agreement of the aneroid sphygmomanometer against the Jamar dynamometer in measuring HGS.

This prospective validation study measures HGS using an aneroid sphygmomanometer and Jamar dynamometer obtained from seventy participants 50 years old and above. Statistical methods used in data analysis include Spearman Rho, univariate linear regression analyses, intra-class correlation, inter-rater reliability, intra-rater reliability, Bland-Altman plots, and Lin’s concordance.

There was a significant correlation of HGS with the Jamar dynamometer and aneroid sphygmomanometer regardless of the rater [Spearman Rho (rs=0.762 to 0.778, p=0.001)]. Jamar GS is comparable to GS using a sphygmomanometer with the formula of [Jamar = 0.54 x sphygmomanometer (mmHg) - 45.12].

Aneroid sphygmomanometer can be used as an option to measure GS and has a valid value to predict the Jamar GS value. Hence, it can be an alternate tool for diagnosing sarcopenia.

BACKGROUND

Curcumin has been investigated as a potential natural solution to prevent or even treat skeletal muscle decline. There are a number of externally sourced finished products (ie, those imported from other countries) containing curcumin, but high cost limits their usage. The emerging research and development of locally sourced curcumin is an opportunity to produce high-quality oral supplements comparable to existing imported products.

The primary purpose of this study is to determine the effects of oral administration of a local curcumin formulation on skeletal muscle using an animal model that similarly demonstrated the course of human sarcopenia.

Purpose-bred 11- to 12-week-old female Sprague Dawley (SD) rats will be used in this study. SD rats are extensively used in animal models of human diseases and conditions such as diabetes, obesity and sarcopenia. Female rats have been selected because they do not demonstrate more temperature or activity variance and have more stable behavior compared to males. To simulate sarcopenia in this animal model, the tail suspension (TS) method was utilized. The TS method involves decreased hind limb function by suspending the animal’s tail for the duration of treatment. The laboratory animals will be randomized to receive any of the four treatments: (1) low-dose curcumin + vehicle; (2) high-dose curcumin + vehicle; (3) vehicle only; and (4) control (distilled water). The interventions will be subdivided into two: 2-week treatment and 4-week treatment. The gastrocnemius muscles on both sides will be excised and weighed, and the muscle tissues subjected to rapid freezing in acetone-dry ice and sliced into 10 μm-thick sections for staining. Examination of muscle architecture and computation of atrophy factors will be performed. The presence of connective tissue, fat tissue and number of atrophic muscle cells will be determined. Accurate quantitative detection of the rat total AMP (adenosine monophosphate)-Activated Protein Kinase will be performed in the gastrocnemius muscle tissue utilizing the enzyme-linked immunosorbent assay kit.

Stroke-associated sarcopenia is a serious post-stroke complication that can have a significant impact on patient’s functional recovery. However， currently available assessment tools for sarcopenia require specialized equipment and personnel， which are difficult to access in resource-limited settings. This article presents the role of biomarkers as an objective method in the pathogenesis， prevention， diagnosis， and prognostic assessment of stroke-associated sarcopenia， with the focus on neuromuscular， inflammatory， metabolic， and nutritional indicators.
Stroke ; Sarcopenia ; Biomarkers

Objective To investigate the incidence rate of sarcopenia and related risk factors in patients with stroke. Methods A retrospective analysis was performed for the patients with stroke who were admitted to the stroke center of a grade A tertiary hospital in Changchun， China， from March 2023 to June 2024. The method of bioelectrical impedance was used to perform body composition analysis for all patients on day（7.0±1.0）after admission， and the incidence rate of stroke-related sarcopenia was analyzed. A binary logistic regression analysis was used to investigate the risk factors for stroke-related sarcopenia. Results A total of 666 patients were included in the study， among whom 150（22.5%） developed sarcopenia （95%CI 0.193‒ 0.257）. Low body mass index， low phase angle， low triglyceride， advanced age， and low Barthel index were risk factors for the early onset of sarcopenia in patients with stroke. Conclusion There is a relatively high incidence rate of sarcopenia in stroke patients， with complex influencing factors. Medical staff should pay more attention to the elderly stroke patients， as well as those patients with emaciation， low phase angle， low triglyceride， and limited activities of daily living. Early nutritional supplementation and functional exercise can help to prevent the onset of stroke-related sarcopenia.
Stroke ; Sarcopenia

BACKGROUND

Sarcopenia is a multifactorial disease with a progressive decline in skeletal muscle mass, muscle strength, and physical performance. Curcumin is a nutraceutical investigated for its anti-inflammatory and antioxidant properties. It is inexpensive, accessible, and considered a safe and practical approach to help alleviate symptoms of sarcopenia and improve muscle mass and function. Objective: This systematic review aims to obtain more conclusive evidence on the effectiveness of curcumin among adults 40 years and above with sarcopenia in improving muscle pain, strength, performance, and muscle morphology.

This systematic review aims to obtain more conclusive evidence on the effectiveness of curcumin among adults 40 years and above with sarcopenia in improving muscle pain, strength, performance, and muscle morphology.

The review will be conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Statement. It will focus on any interventional studies on curcumin for adults diagnosed with sarcopenia, with the following outcomes: clinically significant improvement in pain, muscle strength and performance, quality of life, and improvement in muscle morphology. Studies completed until 2024 will be included. The databases to be searched include PubMed, Cochrane Central Register of Controlled Trials (CENTRAL), CINAHL Plus (EBSCOhost), Embase, and Web of Science. The identified citations will be collated in Zotero and uploaded to Covidence© to be assessed using the eligibility criteria and systematically reviewed by two independent reviewers. The CASP Randomised Controlled Trial Checklist will be utilized to assess the quality of the included studies.

The results will serve as a groundwork for future sarcopenia research among allied health specialists, particularly those in the field of physiotherapy - students, healthcare practitioners, and academicians (PROSPERO registration number: CRD42023448750).

Hepatocellular carcinoma (HCC) is one of the most common malignancies and is a major cause of cancer-related mortalities worldwide (Forner et al., 2018; He et al., 2023). Sarcopenia is a syndrome characterized by an accelerated loss of skeletal muscle (SM) mass that may be age-related or the result of malnutrition in cancer patients (Cruz-Jentoft and Sayer, 2019). Preoperative sarcopenia in HCC patients treated with hepatectomy or liver transplantation is an independent risk factor for poor survival (Voron et al., 2015; van Vugt et al., 2016). Previous studies have used various criteria to define sarcopenia, including muscle area and density. However, the lack of standardized diagnostic methods for sarcopenia limits their clinical use. In 2018, the European Working Group on Sarcopenia in Older People (EWGSOP) renewed a consensus on the definition of sarcopenia: low muscle strength, loss of muscle quantity, and poor physical performance (Cruz-Jentoft et al., 2019). Radiological imaging-based measurement of muscle quantity or mass is most commonly used to evaluate the degree of sarcopenia. The gold standard is to measure the SM and/or psoas muscle (PM) area using abdominal computed tomography (CT) at the third lumbar vertebra (L3), as it is linearly correlated to whole-body SM mass (van Vugt et al., 2016). According to a "North American Expert Opinion Statement on Sarcopenia," SM index (SMI) is the preferred measure of sarcopenia (Carey et al., 2019). The variability between morphometric muscle indexes revealed that they have different clinical relevance and are generally not applicable to broader populations (Esser et al., 2019).
Humans ; Aged ; Sarcopenia/diagnostic imaging* ; Carcinoma, Hepatocellular/diagnostic imaging* ; Muscle, Skeletal/diagnostic imaging* ; Deep Learning ; Prognosis ; Radiomics ; Liver Neoplasms/diagnostic imaging* ; Retrospective Studies

Sarcopenia refers to an age-related reduction of lean body mass. It showed a reciprocal relationship with cardiovascular diseases. Thus, it is imperative to explore pathophysiological mechanisms explaining the relationship between sarcopenia and cardiovascular diseases, along with the clinical assessment, and associated management. In this review, we discuss how processes such as inflammation, oxidative stress, endothelial dysfunction, neural and hormonal modifications, as well as other metabolic disturbances influence sarcopenia as well as its association with cardiovascular diseases. Moreover, this review provides an overview of both non-pharmacological and pharmacological management for patients with sarcopenia and cardiovascular diseases, with a focus on the potential role of cardiovascular drugs to mitigate sarcopenia.
Sarcopenia ; Cardiovascular Diseases

Non-alcoholic fatty liver disease (NAFLD) is one of the most prevalent causes of chronic liver disease worldwide which is often seen in patients with metabolic abnormalities such as those with obesity and insulin resistance. On the other hand, sarcopenia is a generalized and progressive skeletal muscle disorder characterized by low muscle strength, low muscle quality, low physical performance, or a combination of the three. Both disease entities share several underlying risk factors and pathophysiologic mechanisms. These include: (1) cardiometabolic overlaps such as insulin resistance, chronic systemic inflammation, decreased vitamin D levels, sex hormone modifications; (2) muscle-related factors such as those mitigated by myostatin signaling, and myokines (i.e., irisin); and (3) liver-dysfunction related factors such as those associated with growth hormone/insulin-like growth factor 1 Axis, hepatokines (i.e., selenoprotein P and leukocyte cell-derived chemotaxin-2), fibroblast growth factors 21 and 19 (FGF21 and FGF19), and hyperammonemia. This narrative review will examine the pathophysiologic overlaps that can explain the links between NAFLD and sarcopenia. Furthermore, this review will explore the emerging roles of nonpharmacologic (e.g., weight reduction, diet, alcohol, and smoking cessation, and physical activity) and pharmacologic management (e.g., roles of β-hydroxy-β-methylbutyrate, branched-chain amino acid supplements, and testosterone therapy) to improve care, intervention sustainability, and acceptability for patients with sarcopenia-associated NAFLD.
Non-alcoholic Fatty Liver Disease ; Sarcopenia

BACKGROUND: Sarcopenia is an age-related progressive skeletal muscle disorder involving the loss of muscle mass or strength and physiological function. Efficient and precise AI algorithms may play a significant role in the diagnosis of sarcopenia. In this study, we aimed to develop a machine learning model for sarcopenia diagnosis using clinical characteristics and laboratory indicators of aging cohorts. METHODS: We developed models of sarcopenia using the baseline data from the West China Health and Aging Trend (WCHAT) study. For external validation, we used the Xiamen Aging Trend (XMAT) cohort. We compared the support vector machine (SVM), random forest (RF), eXtreme Gradient Boosting (XGB), and Wide and Deep (W&D) models. The area under the receiver operating curve (AUC) and accuracy (ACC) were used to evaluate the diagnostic efficiency of the models. RESULTS: The WCHAT cohort, which included a total of 4057 participants for the training and testing datasets, and the XMAT cohort, which consisted of 553 participants for the external validation dataset, were enrolled in this study. Among the four models, W&D had the best performance (AUC = 0.916 ± 0.006, ACC = 0.882 ± 0.006), followed by SVM (AUC =0.907 ± 0.004, ACC = 0.877 ± 0.006), XGB (AUC = 0.877 ± 0.005, ACC = 0.868 ± 0.005), and RF (AUC = 0.843 ± 0.031, ACC = 0.836 ± 0.024) in the training dataset. Meanwhile, in the testing dataset, the diagnostic efficiency of the models from large to small was W&D (AUC = 0.881, ACC = 0.862), XGB (AUC = 0.858, ACC = 0.861), RF (AUC = 0.843, ACC = 0.836), and SVM (AUC = 0.829, ACC = 0.857). In the external validation dataset, the performance of W&D (AUC = 0.970, ACC = 0.911) was the best among the four models, followed by RF (AUC = 0.830, ACC = 0.769), SVM (AUC = 0.766, ACC = 0.738), and XGB (AUC = 0.722, ACC = 0.749). CONCLUSIONS: The W&D model not only had excellent diagnostic performance for sarcopenia but also showed good economic efficiency and timeliness. It could be widely used in primary health care institutions or developing areas with an aging population. TRIAL REGISTRATION Chictr.org, ChiCTR 1800018895.
Humans ; Aged ; Sarcopenia/diagnosis* ; Deep Learning ; Aging ; Algorithms ; Biomarkers

Sarcopenia has attracted increasing attention with the study of nutrition in patients with liver disease. Sarcopenia is an independent risk factor for a poor prognosis of liver disease and is becoming increasingly common in patients with liver disease. Studies have shown that patients with liver disease and sarcopenic obesity have a worse prognosis than patients with liver disease and simple sarcopenia or obesity. In clinical practice, it is easy to recognize patients with malnutrition and decreased muscle mass, but we often ignore those patients with normal body weight or even obesity who will likewise experience muscle mass loss. Simply relying on the monitoring of body mass and body mass index to assess the nutritional and muscle status of patients with liver disease is not accurate. At present, our understanding of the relationship between chronic liver disease and sarcopenic obesity is still poorly understood. In this paper, the research progress on chronic liver disease, sarcopenia, and sarcopenic obesity in recent years is reviewed so as to provide a theoretical basis for improving the clinical prognosis of patients with liver disease.
Humans ; Sarcopenia/complications* ; Body Composition/physiology* ; Obesity/complications* ; Risk Factors ; Liver Diseases/complications* ; Muscle, Skeletal