Risk factors for 5-year mortality in a cohort of elderly patients with sarcopenia

The association of body composition and fat distribution with dysmobility syndrome in community-dwelling older adults: Bushehr Elderly Health (BEH) program

BACKGROUND AND OBJECTIVE

Dysmobility Syndrome (DS) is characterized as an accumulation of clinical risk factors for functional disability, such as osteoporosis, sarcopenia, and obesity. Neurological disorders that affect the motor and sensory systems can also contribute to the condition, resulting in gait and muscle strength disturbances, as well as a history of falls and fractures. The study aimed to determine the association between fat distribution in different body areas and the odds of older adults developing DS, as there is still uncertainty about the accumulation of fat in which area is most closely linked to the condition.

METHODS

This cross-sectional study was conducted according to the data from the second phase of the Bushehr Elderly Health Cohort (BEH). Dysmobility Syndrome was defined based on the co-occurrence of at least three outcomes of its criteria. Body composition was measured using dual-energy X-ray absorptiometry (DXA) and anthropometric studies. For evaluating the relationship, multivariate logistic regression and adjusted univariate linear regression were used.

RESULTS

Of 2,359 who were recruited in the study, 1,277 participants (54.13%) had DS. According to the final logistic regression model in the limb region, FM and FM to FFM ratios were significantly associated with DS [OR (95%CI) = 1.04 (1.02 to 1.05), and 3.42 (1.95 to 5.99), respectively]. Also, In the trunk region, the FM and FM to FFM ratio were significantly related to the odds of DS, although this relationship was weaker than in the limbs region [OR (95%CI) = 1.02 (1.00 to 1.03), and 2.45 (1.36 to 4.39), respectively].

CONCLUSION

Our findings indicate that a higher regional and whole-body amount of fat mass rather than fat-free mass is closely linked to an increased risk of DS, particularly in the elderly population. Notably, higher fat mass in the limbs (especially in the legs) is associated with greater odds of DS, while a higher android-to-gynoid fat mass ratio is associated with lower DS risk. Screening fat mass distribution in older individuals can be a valuable strategy for promptly diagnosing DS, implementing interventions to prevent disabilities, and improving their quality of life.

Old muscle, new tricks: a clinician perspective on sarcopenia and where to next

PURPOSE OF REVIEW

This review offers a contemporary clinical approach to the recognition, prevention and management of sarcopenia, and discusses recent clinically relevant advances in the aetiopathogenesis of muscle ageing that may lead to future therapeutic targets.

RECENT FINDINGS

The key recent directions for sarcopenia are in the diagnosis, understanding molecular mechanisms and management. Regarding the recognition of the condition, it has become increasingly clear that different definitions hamper progress in understanding. Therefore, the Global Leadership in Sarcopenia has been established in 2022 to develop a universally accepted definition. Moreover, substantial work is occurring to understand the various roles and contribution of inflammation, oxidative stress, mitochondrial dysfunction and metabolic dysregulation on skeletal muscle function and ageing. Finally, the role of resistance-based exercise regimes has been continually emphasised. However, the role of protein supplementation and hormone replacement therapy (HRT) are still under debate, and current clinical trials are underway.

SUMMARY

With the global ageing of our population, there is increasing emphasis on maintaining good health. Maintenance of skeletal muscle strength and function are key to preventing frailty, morbidity and death.

Cognitive Impairment Predicts Sarcopenia 9 Years Later Among Older Adults

OBJECTIVE

To assess the longitudinal association between cognitive impairment and sarcopenia in a sample of Brazilian community-dwelling older adults.

DESIGN

Nine-year observational prospective study.

SETTING AND PARTICIPANTS

A total of 521 community-dwelling older adults from 2 Brazilian sites of the Frailty in Brazilian Older Adults (FIBRA in Portuguese) study.

METHODS

Sarcopenia was defined as low hand-grip strength and low muscle mass. Cognitive impairment was determined at baseline using the Mini-Mental State Examination, with education-adjusted cutoff scores. The logistic regression model was used to assess the association between cognitive impairment and incident sarcopenia after adjusting for gender, age, education, morbidities, physical activity, and body mass index. Inverse probability weighting was applied to correct for sample loss at follow-up.

RESULTS

The mean age of the study population was 72.7 (±5.6) years, and 365 were women (70.1%). Being 80 years and older (odds ratio [OR], 4.62; 95% CI, 1.38-15.48; P = .013), being under- and overweight (OR, 0.29; 95% CI, 0.11-0.76; P = .012, and OR, 5.12; 95% CI, 2.18-12.01; P < .001, respectively) and having cognitive impairment (OR, 2.44; 95% CI, 1.18-5.04; P = .016) at baseline predicted sarcopenia after 9 years.

CONCLUSION AND IMPLICATIONS

Cognitive impairment may predict sarcopenia in Brazilian older adults. More studies are necessary to identify the main mechanisms shared by sarcopenia and cognitive decline, which could support the development of prevention interventions.

A Nomogram for Optimizing Sarcopenia Screening in Community-dwelling Older Adults: AB3C Model

OBJECTIVES

Sarcopenia is associated with significantly higher mortality risk, and earlier detection of sarcopenia has remarkable public health benefits. However, the model that predicts sarcopenia in the community has yet to be well identified. The study aimed to develop a nomogram for predicting the risk of sarcopenia and compare the performance with 3 sarcopenia screen models in community-dwelling older adults in China.

DESIGN

Cross-sectional study.

SETTING AND PARTICIPANTS

A total of 966 community-dwelling older adults.

METHODS

A total of 966 community-dwelling older adults were enrolled in the study, with 678 participants grouped into the Training Set and 288 participants grouped into the Validation Set according to a 7:3 randomization. Predictors were identified in the Training Set by univariate and multivariate logistic regression and then combined into a nomogram to predict the risk of sarcopenia. The performance of this nomogram was assessed by calibration, discrimination, and clinical utility.

RESULTS

Age, body mass index, calf circumference, congestive heart failure, and chronic obstructive pulmonary disease were demonstrated to be predictors for sarcopenia. The nomogram (named as AB3C model) that was constructed based on these predictors showed excellent calibration and discrimination in the Training Set with an area under the receiver operating characteristic curve (AUC) of 0.930. The nomogram also showed perfect calibration and discrimination in the Validation Set with an AUC of 0.897. The clinical utility of the nomogram was supported by decision curve analysis. Comparing the performance with 3 sarcopenia screen models (SARC-F, Ishii, and Calf circumference), the AB3C model outperformed the other models regarding sensitivity and AUC.

CONCLUSIONS AND IMPLICATIONS

AB3C model, an easy-to-apply and cost-effective nomogram, was developed to predict the risk of sarcopenia, which may contribute to optimizing sarcopenia screening in community settings.

Obesity as a premature aging phenotype - implications for sarcopenic obesity

Obesity and aging have both seen dramatic increases in prevalence throughout society. This review seeks to highlight common pathologies that present with obesity, along with the underlying risk factors, that have remarkable similarity to what is observed in the aged. These include skeletal muscle dysfunction (loss of quantity and quality), significant increases in adiposity, systemic alterations to autonomic dysfunction, reduction in nitric oxide bioavailability, increases in oxidant stress and inflammation, dysregulation of glucose homeostasis, and mitochondrial dysfunction. This review is organized by the aforementioned indices and succinctly highlights literature that demonstrates similarities between the aged and obese phenotypes in both human and animal models. As aging is an inevitability and obesity prevalence is unlikely to significantly decrease in the near future, these two phenotypes will ultimately combine as a multidimensional syndrome (a pathology termed sarcopenic obesity). Whether the pre-mature aging indices accompanying obesity are additive or synergistic upon entering aging is not yet well defined, but the goal of this review is to illustrate the potential consequences of a double aged phenotype in sarcopenic obesity. Clinically, the modifiable risk factors could be targeted specifically in obesity to allow for increased health span in the aged and sarcopenic obese populations.

Sarcopenia and blood albumin: A systematic review with meta-analysis

Sarcopenia is characterized by loss of muscle mass during aging, which can have consequences for the individuals’ health. There are many ways to detect it, among them, with the use of blood biomarkers such as albumin, although the association between the two has not been confirmed yet. This review synthesizes the knowledge on the association between sarcopenia and serum albumin among elderly individuals through a systematic review and meta-analysis focused on the etiology and risk factors. We used the Joanna Briggs Institute software for the review and conducted a search in MEDLINE, Embase, CINAHL, and LILACS databases while two reviewers conducted an independent manual search. EpiDat, version 3.1 was used for the meta-analysis; mean differences with the albumin scores disaggregated by sarcopenia were analyzed by the random-effects model. The degree of heterogeneity was assessed with the DerSimonian and Laird Q test. We analyzed 630 articles and finally included 14 in the review. Higher blood albumin levels were found in the meta-analysis, which was statistically significant among the elderly adults who did not present sarcopenia compared to those who did. Although there are studies exploring the association between albumin and sarcopenia, there is a need to continue evaluating its association with biological markers and comparing them to verify which can be used to detect sarcopenia among the elderly.

Effect of Exercise Habit on Skeletal Muscle Mass Varies with Protein Intake in Elderly Patients with Type 2 Diabetes: A Retrospective Cohort Study

Exercise has been reported to be effective in maintaining and recovering muscle; however, the effect of exercise combined with adequate or inadequate protein intake on muscle mass is not clear. Therefore, this study investigates the effect of exercise habit on changes in muscle mass, with adequate or inadequate protein intake. This retrospective cohort study included 214 elderly patients with type 2 diabetes. The rate of skeletal muscle mass index (SMI) change (%) was defined as ((SMI at follow-up minus SMI at baseline)/(follow-up years [kg/m²/year] × SMI at baseline [kg/m²])) × 100. Adequate protein intake was defined as protein intake ≥1.2 g/kg ideal body weight/day. During a mean follow-up duration of 18.0 (7.1) months, the rate of SMI change was −1.14 (4.10)% in the whole sample. The rate of SMI change of non-habitual exercisers with inadequate protein intake, habitual exercisers with inadequate protein intake, non-habitual exercisers with adequate protein intake, and habitual exercisers with adequate protein intake was −1.22 (3.71), −2.31 (3.30), −1.88 (4.62), and 0.36 (4.29)%, respectively. Compared with patients with exercise habit and adequate protein intake, the odds ratio for decreasing SMI was 2.50 (0.90–6.90, p = 0.078) in patients with no exercise habit and inadequate protein intake, 3.58 (1.24–10.4, p = 0.019) in those with exercise habit and inadequate protein intake, and 3.03 (1.27–7.22, p = 0.012) in those with no exercise habit and adequate protein intake, after adjusting for covariates. Therefore, exercise habit without adequate protein intake was associated with an increased risk of decreasing SMI compared with exercise habit with adequate protein intake.