Introduction: Chronic liver disease is often combined with a morbidity burden that strongly affects the functional domain. In liver cirrhosis (LC), qualitative and quantitative muscle wasting, known as sarcopenia, poses an added clinical burden, together with comorbidities and a poor quality of life.
Methods: We conducted a systematic review and meta-analysis of the prevalence of sarcopenia in LC. The literature was screened through 6 electronic databases from the study's inception to January 2023. No exclusion criteria were applied to language, operative tools for diagnosing sarcopenia, population age, general health status, country, and study setting (cohort or cross-sectional). Two independent researchers applied the inclusion criteria in parallel to evaluate the eligibility of the 44 retrieved articles; only 36 met the eligibility requirements.
Results: The total sample (N = 8,821) was slightly dominated by men (N = 4,941). The cross-sectional design predominated over the longitudinal, and the hospital setting was prevalent. The pooled prevalence of sarcopenia across the selected studies was 33% (95% confidence interval [CI] 0.32-0.34), with high heterogeneity ( I2 = 96%). A further meta-analysis using the Child-Pugh (CP) score to stage LC was conducted on 24 entries, and the results showed that for the LC populations classified with the CP-A, CP-B, and CP-C staging, respectively, the overall mean prevalence was 33% (95% CI 0.31-0.35), 36% (95% CI 0.34-0.39) and 46% (95% CI 0.43-0.50). The risk of bias was moderate. In LC, 1 in 3 patients suffers sarcopenia.
Discussion: Poor management of muscle mass loss plays a role in the prognosis of death and quality of life of patients with LC. Clinicians in the field are recommended, when screening for sarcopenia, to pay close attention by carefully assessing body composition as part of the monitoring scheme.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10371322 | PMC |
http://dx.doi.org/10.14309/ctg.0000000000000584 | DOI Listing |
J Nutr Health Aging
December 2024
Faculty of Medicine and Health, School of Health Sciences and Sydney Medical School, University of Sydney, New South Wales, Australia, and Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Roslindale, MA, United States.
Adv Gerontol
January 2025
Samara State Medical University, 89 Chapayevskaya str., Samara 443099, Russian Federation, e-mail:
According to the federal register, up to 3,77 million elderly Russians have a confirmed diagnosis of type 2 diabetes mellitus (DM2), the most important criterion for the effectiveness of treatment of which is the achievement of therapeutic control targets. At the same time, the structure of the algorithm for their assessment in elderly patients is quite complex and involves the analysis of many different parameters, including indicators of geriatric status. The aim of the study was to develop a digital clinical calculator for determining individual goals of DM2 control in elderly patients based on the principles of evidence-based medicine.
View Article and Find Full Text PDFGeriatr Nurs
December 2024
Department of Management, Policy and Community Health, School of Public Health, The University of Texas Health Science Center at Houston, Houston 77030, Texas, United States. Electronic address:
Objectives: To compare the total medical costs associated with operative versus non-operative medical procedures for femoral neck fractures in older adults with Alzheimer's disease (AD).
Methods: This retrospective cohort study examined 4,157 Optum beneficiaries diagnosed with AD who filed an initial claim for femoral neck fracture between January 1, 2012, and December 31, 2017. Generalized linear regression with Gamma log link function was performed to evaluate total medical costs between surgical treatment and non-operative care while controlling for covariates.
PLoS One
December 2024
eVida Research Lab, Faculty of Engineering, University of Deusto, Deusto, Spain.
Background: Sarcopenia and reduced muscle quality index have garnered special attention due to their prevalence among older individuals and the adverse effects they generate. Early detection of these geriatric pathologies holds significant potential, enabling the implementation of interventions that may slow or reverse their progression, thereby improving the individual's overall health and quality of life. In this context, artificial intelligence opens up new opportunities to identify the key identifying factors of these pathologies, thus facilitating earlier intervention and personalized treatment approaches.
View Article and Find Full Text PDFSci Rep
December 2024
Beijing Sport University, Beijing, China.
The present study leverages the comprehensive data from the National Health and Nutrition Examination Survey (NHANES) to examine the Influencing factors of sarcopenia (SA) and sarcopenic obesity (SO). The investigation is designed to a non-invasive, cost-effective, and convenient method that is applicable to the adult population, enabling the accurate and simultaneous detection of risks associated with SA and SO. Furthermore, this research will evaluate the critical values of effective anthropometric indicators, providing early warning for risk management in self-health care and offering valuable insights for subsequent research and clinical practice.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!