Prevalence and risk factors of stroke-related sarcopenia at the subacute stage: A case control study

Sex difference, proteostasis and mitochondrial function impact stroke-related sarcopenia-A systematic review and meta-analysis

BACKGROUND

The prevalence of stroke-related sarcopenia has been noted; however, epidemiological data and interventions that increase or reduce the incidence of stroke-related sarcopenia remain lacking.

METHODS

Studies on stroke-related sarcopenia were included in association or interventional analyses. All analyses were performed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Two evaluators independently extracted the data.

RESULTS

Female stroke patients had a higher preference for sarcopenia than male patients (pooled odds ratio [OR] = 0.670, 95 % CI 0.533-0.842, p = 0.001). Although stroke patients without drug use have improved skeletal muscle mass index (SMI) (MD = 0.272, 95 % CI 0.087-0.457, p = 0.004), handgrip strength (HGS) was not significantly altered (MD = -0.068, 95 % CI -0.221-0.076, p = 0.354). Stroke patients with nutrient interventions have improved SMI (MD = -0.354, 95 % CI -0.635- -0.073, p = 0.014) and HGS (MD = -0.394, 95 % CI -0.678- -0.111, p = 0.006); the synergistic effect of rehabilitation exercise has not been ruled out. Whether a sex difference exists in these interventions remains to be investigated. The underlying pathological mechanisms and potential therapeutic strategies for this disease are discussed.

CONCLUSION

Sex difference, proteostasis, and mitochondrial function may impact the incidence of stroke-related sarcopenia. Understanding the underlying pathological mechanisms and potential therapeutic targets for this disease will provide new insights into disease treatment, prevention, and drug development.

Site-specific skeletal muscle mass and functional prognosis in geriatric stroke patients

BACKGROUND

Evidence is scarce regarding prognostic value of site-specific muscle mass in geriatric stroke survivors. We aim to assess the association between four measures of muscle mass, namely the skeletal muscle mass index of the limbs (SMI), upper limb SMI (USMI), lower limb SMI (LSMI), and trunk muscle mass index (TMI), and the functional prognosis in stroke patients.

METHODS

This study conducted a retrospective cohort analysis involving post-acute stroke inpatients. Muscle mass data were obtained through bioelectrical impedance analysis and computed by dividing each muscle mass by the square of the height. The study outcomes included the Functional Independence Measure (FIM) motor at discharge and FIM-motor gain. Multiple regression analysis was conducted to assess the association between SMI, USMI, LSMI, and TMI with outcomes, while adjusting for confounding factors.

RESULTS

A total of 701 patients (mean age 72.8 years, 374 males) were analyzed. As a result, LSMI (β = 0.089, P = 0.003) and SMI (β = 0.083, P = 0.008) were significantly associated in the FIM-motor at discharge, with LSMI showing a stronger association. USMI (β = 0.019, P = 0.521) and TMI (β = 0.035, P = 0.231) showed no significant association. LSMI (β = 0.124, P = 0.003) and SMI (β = 0.116, P = 0.008) were significantly associated with FIM-motor gain; however, USMI (β = 0.027, P = 0.521) and TMI (β = 0.049, P = 0.231) showed no significant association with FIM-motor gain.

CONCLUSIONS

Differential associations were observed between site-specific muscle mass and functional prognosis in post-stroke patients. Among these, lower limb muscle mass was most strongly associated with activities of daily living (ADL) recovery.

Association between sarcopenia and hemoglobin level: a systematic review and meta-analysis

Background

Sarcopenia is a disease characterized by decreased skeletal muscle mass and function in elderly individuals. Decreased hemoglobin levels is a marker of anemia. According to reports, there may be an association between anemia and sarcopenia, but research is inconsistent. Therefore, this meta-analysis aims to explore the association between sarcopenia and low hemoglobin levels.

Methods

We searched PubMed, Embase, the Cochrane Library, Web of Science, Ovid, China National Knowledge Infrastructure (CNKI), and Wan Fang databases until September 2022. The present study included cross-sectional and case-control studies regarding low hemoglobin levels and sarcopenia. The studies were selected using inclusion and exclusion criteria. Studies were meta-analyzed by Review Manager 5.4 and Stata 16.0. We performed the heterogeneity test using the I 2 test. Subgroup analysis was carried out to explore the cause of heterogeneity. Egger test was used to evaluate publication bias.

Results

Out of 1,550 initial studies, 16 studies were meta-analyzed. Sarcopenia participants had significantly lower levels of hemoglobin than controls (MD = -0.53, 95% CI: -0.68 to -0.37, p < 0.001). Subgroup analysis, performed in China population reported lower hemoglobin levels in the sarcopenia population (MD = -0.49, 95% CI: -0.65 to -0.33, p < 0.001). And sarcopenia based on AWGS criteria reported lower hemoglobin levels (MD = -0.49, 95% CI: -0.65 to -0.33, p < 0.001). Among the population from hospitals and communities, patients with sarcopenia have lower hemoglobin levels.

Conclusion

Our meta-analysis found evidence that sarcopenia is associated with low hemoglobin levels. However, further large-scale prospective studies should be conducted in the future to further confirm our conclusions.

Systematic review registration

PROSPERO, CDR42024532252.

Prediction model of malnutrition in hospitalized patients with acute stroke

OBJECTIVE

The prognosis of stroke patients is greatly threatened by malnutrition. However, there is no model to predict the risk of malnutrition in hospitalized stroke patients. This study developed a predictive model for identifying high-risk malnutrition in stroke patients.

METHODS

Stroke patients from two tertiary hospitals were selected as the objects. Binary logistic regression was used to build the model. The model's performance was evaluated using various metrics including the receiver operating characteristic curve, Hosmer-Lemeshow test, sensitivity, specificity, Youden index, clinical decision curve, and risk stratification.

RESULTS

A total of 319 stroke patients were included in the study. Among them, 27% experienced malnutrition while in the hospital. The prediction model included all independent variables, including dysphagia, pneumonia, enteral nutrition, Barthel Index, upper arm circumference, and calf circumference (all p < 0.05). The AUC area in the modeling group was 0.885, while in the verification group, it was 0.797. The prediction model produces greater net clinical benefit when the risk threshold probability is between 0% and 80%, as revealed by the clinical decision curve. All p values of the Hosmer test were > 0.05. The optimal cutoff value for the model was 0.269, with a sensitivity of 0.849 and a specificity of 0.804. After risk stratification, the MRS scores and malnutrition incidences increased significantly with escalating risk levels (p < 0.05) in both modeling and validation groups.

CONCLUSIONS

This study developed a prediction model for malnutrition in stroke patients. It has been proven that the model has good differentiation and calibration.

The relationship between sarcopenic obesity and changes in quadriceps muscle thickness and echo intensity in patients with stroke

BACKGROUND

Research findings on skeletal muscle degeneration in post-stroke sarcopenic obesity are limited. Thus, this study aimed to investigate the association between post-stroke sarcopenic obesity and quantitative and qualitative changes in skeletal muscles.

METHODS

This was a cross-sectional study conducted on patients with stroke admitted to the convalescent rehabilitation ward. For skeletal muscle assessment, an ultrasound system was used to measure quadriceps muscle thickness and echo intensity (QMT and QEI) on the paretic and non-paretic sides. Sarcopenic obesity was defined as the presence of both sarcopenia and obesity. Multiple regression analysis was performed to determine the relationships between sarcopenic obesity and QMT and QEI.

RESULTS

A total of 130 patients with stroke were included in this study (mean age: 69.4 ± 12.7 years). The prevalence of sarcopenic obesity was 23.1%. The multiple regression analysis showed that sarcopenic obesity was significantly negatively associated with QMT on both the paretic and non-paretic sides (paretic side: β =  -0.28, p < 0.001; non-paretic side: β =  -0.37, p < 0.001) and significantly positively associated with QEI (paretic side β = 0.21, p = 0.034; non-paretic side: β = 0.20, p = 0.029).

CONCLUSIONS

Post-stroke sarcopenic obesity was independently associated with quantitative and qualitative changes in skeletal muscles on both the paretic and non-paretic sides.

Stroke related sarcopenia in individuals with different physical activity levels: A cross-sectional study

BACKGROUND AND OBJECTIVE

Individuals after stroke are likely to deal with the possible development of sarcopenia and reduced physical activity levels. The purpose of this study was to compare sarcopenia of individuals with chronic stroke who were stratified according to their physical activity levels, and to evaluate the relationship between sarcopenia and physical activity levels.

MATERIALS AND METHODS

This cross-sectional study was conducted with individuals after chronic stroke recruited from the general community. Individuals were submitted to sarcopenia screening (SARC-F questionnaire) and assessment of physical activity levels (Human Activity Profile questionnaire) to classify the individuals as impaired, moderately active, and active according to their Adjusted Activity Status (AAS). ANOVA was used to investigate the sarcopenia between groups and Pearson's coefficient to investigate the association among variables.

RESULTS

Fifty-four individuals with a mean age of 56 ± 17.4 years were included. Twenty-one percent of the individuals were screened for sarcopenia. Inactive individuals had higher mean scores in the SARC-F (3.6 ± 2.1 points), whereas moderately active and active individuals presented lower mean scores in the same questionnaire, being 1.2 ± 1.1 points and 0.5 ± 0.7 points, respectively. A statistically significant inverse and high association was found between sarcopenia and physical activity levels (r = -0.716; p < 0.01).

CONCLUSION

Sarcopenia was found to be higher in individuals after chronic stroke with lower physical activity levels considered inactive when compared to individuals with higher physical activity levels. Furthermore, there was an inverse relationship between sarcopenia and physical activity level in stroke survivors.

Potential protective effects of increased serum uric acid concentration in sarcopenia: A meta-analysis and systematic review

BACKGROUND

Previous studies on the association between serum uric acid (UA) levels and sarcopenia have yielded contradictory results. This meta-analysis and literature review assessed the association between serum UA levels and sarcopenia. Moreover, we conducted a comparative analysis of the differences in serum UA concentrations between individuals with and without sarcopenia.

METHODS

A systematic search was conducted across various medical databases, namely PubMed, EMBASE, Web of Science, Cochrane Library, CNKI, and Wanfang (from the start to August 20, 2023). This search focused on published studies that investigated the relationship between serum UA levels and sarcopenia. The relationship between serum UA concentration and the occurrence of sarcopenia was analyzed, and the differences in serum UA concentrations between individuals with sarcopenia and control groups were reviewed. Statistical analysis was performed using STATA 11.0 and R 4.1.3.

RESULTS

Sixteen studies were considered for our analysis. The results indicated a significant association between low serum UA concentration and a higher sarcopenia risk, particularly among male patients (adjusted odds ratio = 0.65, 95% confidence interval [CI] = 0.49, 0.87, P = .004, I2 = 0%). Individuals with sarcopenia exhibited decreased serum UA concentrations compared with those of the control group (mmol/L: weighted mean difference = -28.25, 95% CI = -40.45, -16.05, P < .001; mg/dL: weighted mean difference = -0.82, 95% CI = -1.05, -0.58, P < .001). Additionally, serum UA concentration was positively correlated with skeletal muscle mass index and handgrip strength (skeletal muscle index: correlation coefficient = 0.17, 95% CI = 0.11, 0.22, P < .001; handgrip strength: common odds ratios = 0.10, 95% CI = 0.06, 0.14, P < .001).

CONCLUSION

Individuals with sarcopenia have relatively low serum UA concentrations. A notable correlation between serum UA concentration and sarcopenia was observed. Hence, monitoring UA levels could aid in the early detection and treatment of sarcopenia, enabling timely intervention to preserve muscle mass and strength.

Prevalence and risk factors of possible sarcopenia in patients with subacute stroke

Possible sarcopenia, the loss of handgrip strength in the older population, can lead to poor functional prognosis after stroke. In this retrospective study, we aimed to elucidate the clinical risk factors for possible sarcopenia at discharge in 152 hospitalized patients with subacute stroke. Univariable and multivariable logistic regression analysis was performed to determine the risk factors associated with possible sarcopenia. At the time of discharge, the prevalence of possible sarcopenia was 68.4%. After adjusting for all potential covariates, older age (odds ratio [OR], 1.10; 95% confidence interval [CI], 1.00-1.21; p = 0.04), tube-dependent feeding (OR, 6.66; 95% CI, 1.11-39.84; p = 0.04), and high National Institute of Health Stroke Scale scores (OR, 1.20; 95% CI, 1.00-1.44; p = 0.04) were associated with a higher likelihood of possible sarcopenia at discharge. Higher nonhemiplegic calf circumference (OR, 0.80; 95% CI, 0.67-0.96; p = 0.02) was associated with a lower likelihood of possible sarcopenia. We conclude that tube feeding, high stroke severity, decreased nonhemiplegic calf circumference, and older age are independent risk factors for possible sarcopenia in patients with subacute stroke.