Elderly patients with chronic kidney disease not only suffer from senescence-related muscle strength decline, but also exist muscle attenuation caused by chronic kidney disease. Sarcopenia of this group are more obvious, and falls, incapacity, weakness and death caused by sarcopenia are more prominent. At present, clinicians’ understanding of sarcopenia is still in the aspects of concept popularization and basic research, and there is a lack of practical diagnosis and treatment process and clinical prevention and treatment practice. Starting from the evolution of the definition of sarcopenia, this paper elaborates on the characteristics of sarcopenia in elderly patients with chronic kidney disease, as well as the exercise rehabilitation of sarcopenia in elderly patients with chronic kidney disease, in order to improve the attention and understanding of renal colleagues on sarcopenia in elderly people with chronic kidney disease.
ObjectiveTo systematically review the prevalence of cognitive impairment in patients with sarcopenia. MethodsThe PubMed, EMbase, Web of Science, Cochrane Library, CBM, CNKI, VIP and WanFang Data databases were electronically searched to collect studies related to the objectives from inception to December 10, 2022. Two reviewers independently screened literature, extracted data and assessed the risk of bias of the included studies. Meta-analysis was then performed by using Stata 14.0 software. ResultsA total of 27 studies were included. The overall prevalence rate of cognitive impairment in sarcopenia was 36.1% (95%CI 29.4% to 42.8%). Subgroup analysis showed that the prevalence in Europe was higher than that in other areas. The prevalence of nursing home residents was highest. ConclusionCurrent evidence shows that the prevalence of cognitive impairment in patients with sarcopenia is high. Due to the limited quality and quantity of the included studies, more high quality studies are needed to verify the above conclusion.
Objective To evaluate the efficiency and security of physical exercise with low intensity against malnutrition and sarcopenia in patients with cirrhosis. Methods Between December 2014 and October 2015, 37 patients with cirrhosis were divided into two groups according to their willings, with 19 in the exercise group and 18 in the control group. Endurance of the exercise for 3 months were recorded. Mid-arm circumference, " up and go” time, width of portal vein and Child-Pugh score were compared before and after the research between the two groups. Results Three months later, the mid-arm circumference and the " up and go” time of the exercise group [(33.99±2.15) cm, (9.17±0.35) s] were better than those before the exercise [(32.09±2.58) cm, (9.77±0.46) s] and those in the control group [(31.93±2.04) cm, (9.76±0.30) s], and the differences above were all statistically significant (P<0.05). The change of the width of portal vein was positively correlated with pre-exercise body mass index in overweight patients (r=0.93, P=0.007). Conclusions Physical exercise with low intensity is safe and effective against malnutrition and sarcopenia in patients with cirrhosis. Overweitht patiens or malnutrition at the early stage may benefit more.
ObjectiveTo explore the changes of serum irisin in maintenance hemodialysis (MHD) patients with sarcopenia.MethodsFrom January to June 2019, 56 MHD patients from Shanxi Provincial People’s Hospital were selected. Judging by the results of body composition analyzer, the MHD patients were divided into the sarcopenia group (n=31) and the non-sarcopenia group (n=25). The serum irisin level was detected by enzyme-linked immunosorbent assay. The muscle cross-sectional area at the third lumbar level was measured by CT. SPSS 21.0 software was used for inter-group comparison, correlation analysis, and regression analysis.ResultsThe serum irisin concentration in the sarcopenia group was lower than that in the non-sarcopenia group [medium (lower quartile, upper quartile): 175.46 (126.00, 220.52) vs. 459.10 (233.83, 616.91) pg/mL; Z=−4.195, P<0.001]. The results of Spearman correlation analysis showed that serum irisin level was positively correlated with lean tissue index (rs=0.265, P=0.048), however negatively correlated with serum creatinine level (rs=−0.311, P=0.020). The results of logistic regression analysis showed that serum irisin level [odds ratio (OR)=0.957, 95% confidence interval (CI) (0.925, 0.990), P=0.012], walking speed [OR=0.000, 95%CI (0.000, 0.050), P=0.031], and grip strength [OR=0.658, 95%CI (0.434, 0.997), P=0.048] were protective factors of sarcopenia in MHD patients.ConclusionsThe level of circulating irisin in MHD patients with sarcopenia is lower than that in MHD patients without sarcopenia. Irisin is a protective factor of sarcopenia in MHD patients.
ObjectiveTo evaluate the diagnostic performance of different screening tools for sarcopenia in the community for the elderly with sarcopenia, and to provide evidence-based support for the accurate screening of elderly patients with sarcopenia. MethodsThe PubMed, Web of Science, Cochrane Library, Embase, CINAHL, VIP, CBM, and WanFang Data databases were searched by computer, and the relevant research on the diagnosis of sarcopenia in the elderly by publicly published risk screening tools was found. The retrieval time was from inception to June 2023. Two researchers independently screened the literature, extracted data, and evaluated the quality of the included studies, and then data analysis was performed by using Stata 15.1 and Meta Disc 1.4 software. ResultsA total of 24 studies were included, including 10 961 patients, involving 8 risk screening tools for sarcopenia in the elderly: leg circumference, MSRA-5, MSRA-7, upper arm circumference, ring test, Ishii score, SARC-CalF and SARC-F. Meta-analysis showed that the combined sensitivities of eight screening tools were 0.84 (95% CI 0.61 to 1.15), 0.82 (95% CI 0.48 to 1.38), 0.80 (95% CI 0.47 to 1.36) and 0.72 (95%CI 0.33 to 1.55), 0.67 (95%CI 0.37 to 1.21), 0.63 (95%CI 0.33 to 1.19), 0.49 (95%CI 0.38 to 0.63), 0.24 (95%CI 0.18 to 0.30), and the combined specificities were 0.39 (95%CI 0.18 to 0.82)、0.52 (95%CI 0.29 to 0.93)、0.54 (95%CI 0.29 to 1.03)、0.62 (95%CI 0.49 to 0.79)、0.63 (95%CI 0.50 to 0.78).The results of reticular meta-analysis showed that the surface under the cumulative ranking curve (SUCRA) of the eight screening tools ranked from high to low according to the cumulative sensitivity: calf circumference (67.4%) > MSRA-5 (65.3%) > MSRA-7 (64.1%) > upper arm circumference (54.5%) > ring test (46.5%) > Ishii score. The values of specificity SUCRA from highest to lowest were as follows: SARC-F (72.2%) > SARC-CALF (71.3%) > Ishii score (60.2%) > ring test (57.1%) > upper arm circumference (40.1%) > lower leg circumference (36.2%) > MSRA-5. ConclusionThe simple screening tool for common sarcopenia has high sensitivity and high specificity, so medical staff can give priority to the combination of the two screening tools, namely SARC-CalF. Due to the limited quantity and quality of the included studies, more high-quality studies are needed to verify the above conclusion.
ObjectiveTo systematically review the correlation between sarcopenia and cognitive dysfunction. MethodsCNKI, WanFang Data, PubMed, EMbase and Web of Science databases were electronically searched to collect studies on the correlation between sarcopenia and cognitive dysfunction from inception to June 15, 2022. Two reviewers independently screened the literature, extracted data and assessed the risk of bias of the included studies. Meta-analysis was then performed by using RevMan 5.3 and Stata 14.0 software. ResultsA total of 13 studies involving 19 262 subjects were included. Meta-analysis showed that the cognitive dysfunction was significantly associated with sarcopenia (OR=1.82, 95%CI 1.58 to 2.11, P<0.01). The results of subgroup analysis showed that the cognitive dysfunction was significantly associated with sarcopenia in Asia and Europe. However, the incidence of cognitive dysfunction in the Americas was not significantly associated with sarcopenia. ConclusionCurrent evidence shows that there is a significant correlation between sarcopenia and cognitive dysfunction, but there may be differences in different regions. Due to the limited quality and quantity of the included studies, more high quality studies are needed to verify the above conclusion.
Objective To review the research progress on the correlation between sarcopenia and osteoarthritis (OA). Methods The basic and clinical studies at home and abroad in recent years on sarcopenia and OA were extensively reviewed. The correlation between sarcopenia and OA was analyzed and summarized from five aspects: epidemiological status, risk factors, pathogenesis, clinical treatments, and the impact on joint arthroplasty. Results Sarcopenia and OA are common diseases in the elderly with high prevalence and can increase the ill risk of each other. They share a set of risk factors, and show negative interactive and influence on pathogenesis and clinical treatments, thus participating in each other’s disease process and reducing the treatment benefits. Clinical studies show that sarcopenia can affect the rehabilitation effect and increase the risk of postoperative complications after total joint arthroplasty in many ways. ConclusionCurrent research results show that sarcopenia and OA are related and can be mutually affected in the above 5 aspects, but more studies are needed to further clarify the relationship between them, so as to provide more theoretical basis for the understanding, prevention, diagnosis, and treatments of the two diseases.
Objective To evaluate and summarize the evidence related to non-pharmacological interventions in community-dwelling elderly with sarcopenia and to provide an evidence-based basis for guiding community health professionals to effectively manage older patients with sarcopenia. Methods We searched all evidence about non-pharmacological interventions in community-dwelling elderly with sarcopenia from BMJ Best Practice, UpToDate, Guidelines International Network, National Institute for Health and Care Excellence, Scottish Intercollegiate Guidelines Network, Registered Nurses' Association of Ontario, Canadian Medical Association Clinical Practice Guidelines Infobase, American Society for Nutrition, Australian JBI Evidence-Based Health Care Centre Database, CINAHL, PubMed, Cochrane Library, Web of Science, CBM, CNKI, WanFang Data and VIP Databases. The types of literature included guidelines, expert consensus, systematic reviews, evidence summaries and meta-analyses. The retrieval time ranged from January 1, 2019 to May 31, 2024. Results A total of 14 publications were included, including 2 guidelines, 3 expert consensuses, and 9 systematic reviews. Twenty-four pieces of evidence were summarized in 3 areas, including screening, assessment, and non-pharmacological interventions for sarcopenia. Conclusion We summarize the best evidence for initial screening, systematic assessment, and comprehensive non-pharmacological interventions for elderly patients with sarcopenia in the community, and provide a guidance and reference for community medical staff to efficiently manage elderly patients with sarcopenia.
ObjectiveTo evaluate the quality differences in recommendations generated by large language models (LLM) and clinical practitioners for sarcopenia-related questions. MethodsA sarcopenia knowledge base was constructed based on the latest domestic and international research and consensus guidelines. Using the Python environment, a locally deployed and sarcopenia-focused hybrid vertical LLM (referred to as LC) was implemented via LangChain-LLM. Eight fixed questions covering etiology, diagnosis, and prevention were selected, along with eight virtual patient cases. The evaluation team assessed the quality of answers generated by LC and written by clinical practitioners. Quantitative analysis was performed on the precision, recall, and F1 scores (harmonic mean of precision and recall) of treatment recommendations. ResultsThe responses were generally perceived as "possibly written by humans or AI", with a stronger inclination toward being AI-generated, although the accuracy of such judgments was low. Regarding answer quality attributes, LC's responses were superior to those of clinical practitioners in guideline consistency (P<0.01), exhibited similar acceptability (P>0.05), showed better practicality (P<0.05), and had a lower proportion of "1–2 errors" (P<0.05). Quantitative analysis of treatment recommendations indicated that LC and GPT-4.0 outperformed clinical practitioners in recall and F1 scores (P<0.05), with minimal differences between LC and GPT-4.0. ConclusionThe locally deployed sarcopenia-focused hybrid vertical LLM demonstrates high accuracy and applicability in addressing sarcopenia-related issues, outperforming clinical practitioners and exhibiting strong clinical decision-support capabilities.
Senile sarcopenia has become a prominent problem affecting the normal life and self-care ability of the elderly. More attention to the research on senile sarcopenia is conducive to its prevention and treatment. This article states information details about the epidemiology, influencing factors and mechanism, clinical manifestations and diagnostic criteria, evaluation methods and rehabilitation therapy, so as to provide reference for research on elderly sarcopenia.