The contribution of musculoskeletal factors to physical frailty: a cross-sectional study

Frailty syndrome in women with osteoporosis, should physicians consider screening? A cross-sectional study

Despite its high prevalence and profound impact, frailty syndrome often goes undiagnosed. The study revealed a significant correlation between osteoporosis and frailty syndrome, with predictive accuracy exceeding 75 %. Given these findings and the existing recommendation for osteoporosis screening in older women, we underscore the importance of concurrently screening osteoporotic women for frailty.

Introduction

Frailty syndrome, a prevalent and significant geriatric condition, impacts healthcare costs and quality of life. Previous reviews have associated frailty syndrome with osteoporosis, but original research on this link is limited and has produced conflicting results. This study aims to investigate the relationship between frailty syndrome, osteoporosis, bone mineral densitometry T-score, and other influencing factors.

Methods

In this cross-sectional study, post-menopausal women underwent screening for osteoporosis and frailty syndrome using bone mineral densitometry and the Fried phenotype. Exclusion criteria included a history of diseases related to bone loss or medications affecting bone metabolism. Bivariate and multivariable tests were used to examine the correlation between frailty syndrome and various covariates, including the diagnosis of osteoporosis.

Results

A total of 272 women aged 60 to 89 years (mean age 68.57 ± 6.22) were evaluated. Osteoporosis was prevalent in 44.9 % of participants, and frailty syndrome was identified in 36.4 %. The regression model identified age, menopausal age, and the diagnosis of osteoporosis as variables significantly and independently associated with frailty syndrome. A T-score lower than -2.5 in the femur neck or lumbar spine exhibited a sensitivity of 86.6 % and specificity of 76.5 % in predicting frailty syndrome.

Conclusion

Older adults with osteoporosis face an increased risk of frailty syndrome. Therefore, we recommend that primary care providers screen osteoporotic women for frailty syndrome and, when appropriate, refer this group to geriatric specialists for further evaluation.

Influence of Age, Gender, Frailty, and Body Mass Index on Serum IL-17A Levels in Mature Type 2 Diabetic Patients

BACKGROUND The cytokine IL-17A is emerging as a marker of chronic inflammation in cardio-metabolic conditions. This study aimed to identify relevant factors that in older primary care patients with type 2 diabetes (T2D) could influence serum IL-17A concentrations. The results have a potential to improve risk stratification and therapy options for these patients. MATERIAL AND METHODS The study was conducted during a period of 4 months, in 2020, in the south-eastern region of Croatia. Patients from primary health care, diagnosed with T2D (N=170, M: F 75: 95, ≥50 years old), were recruited at their visits. Those with malignant diseases, on chemotherapy or biological therapy, with amputated legs, or at hemodialysis, were excluded. The multinomial regression models were used to determine independent associations of the groups of variables, indicating sociodemographic and clinical characteristics of these patients, with increasing values (quartiles) of serum IL-17A. RESULTS The regression models indicated the frailty index and sex bias are the key modifying factors in associations of other variables with IL-17A serum values. CONCLUSIONS Sex bias and the existence of different frailty phenotypes could be the essential determining factors of the serum IL-17A levels in community-dwelling patients with T2D age 50 years and older. The results support the concept of T2D as a complex disorder.

Relationship between sodium-glucose cotransporter-2 inhibitors and muscle atrophy in patients with type 2 diabetes mellitus: a systematic review and meta-analysis

Aim

This study aims to assess the association between sodium-glucose cotransporter type-2 inhibitor (SGLT-2i) treatment and muscle atrophy in patients with type 2 diabetes mellitus (T2DM).

Methods

We searched six databases from 1 January 2012 to 1 May 2023, without language restrictions. The primary outcome was muscle. Secondary outcomes were weight loss, weakness, malaise, or fatigue. Subgroup analyses were performed according to different definitions of muscle, treatment duration, and measurement methods. The quality of the studies was assessed using the Cochrane tool. The quality of the evidence was assessed using the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) tool.

Results

Nineteen randomized controlled trials (RCTs) involving 1,482 participants were included. Compared with the control group, a meta-analysis showed that T2DM participants in the group treated with SGLT-2i demonstrated statistically significant reductions in lean body mass of 0.66 (95% confidence interval (CI), -1.05 to -0.27; p = 0.0009) and skeletal muscle mass of 0.35 (95% CI, -0.66 to -0.04; p = 0.03). No deaths or serious adverse events were reported. The quality of evidence in the included trials was low.

Conclusions

SGLT-2i may lead to a reduction in muscle strength in the treatment of T2DM compared to the control group. However, there is still a lack of high-quality evidence to evaluate muscle atrophy caused by SGLT-2i.

Systematic review registration

https://inplasy.com/inplasy-2022-12-0061/, identifier 2022120061.

A Critical Appraisal of the Diagnostic and Prognostic Utility of the Anti-Inflammatory Marker IL-37 in a Clinical Setting: A Case Study of Patients with Diabetes Type 2

BACKGROUND

The role of the cytokine interleukin-37 (IL-37) has been recognized in reversing inflammation-mediated metabolic costs. The aim was to evaluate the clinical utility of this cytokine as a diagnostic and prognostic marker in patients with type 2 diabetes (T2D).

METHODS

We included 170 older (median: 66 years) individuals with T2D (females: 95) and classified as primary care attenders to assess the association of factors that describe patients with plasma IL-37 levels (expressed as quartiles) using multinomial regression models. We determined the diagnostic ability of IL-37 cut-offs to identify diabetes-related complications or patient subgroups by using Receiver Operating Characteristic analysis (c-statistics).

RESULTS

Frailty status was shown to have a suppressive effect on IL-37 circulating levels and a major modifying effect on associations of metabolic and inflammatory factors with IL-37, including the effects of treatments. Situations in which IL-37 reached a clinically significant discriminating ability included the model of IL-37 and C-Reactive Protein in differentiating among diabetic patients with low-normal/high BMI ((<25/≥25 kg/m2), and the model of IL-37 and Thyroid Stimulating Hormone in discriminating between women with/without metabolic syndrome.

CONCLUSIONS

The study has revealed limitations in using classical approaches in determining the diagnostic and prognostic utility of the cytokine IL-37 in patients with T2D and lain a foundation for new methodology approaches.

Association between Immunosenescence, Mitochondrial Dysfunction and Frailty Syndrome in Older Adults

Aging is associated with changes in the immune system, increased inflammation and mitochondrial dysfunction. The relationship between these phenomena and the clinical phenotype of frailty is unclear. Here, we evaluated the immune phenotypes, T cell functions and mitochondrial functions of immune cells in frail and robust older subjects. We enrolled 20 frail subjects age- and gender-matched with 20 robust controls, and T cell phenotype, response to immune stimulation, cytokine production and immune cell mitochondrial function were assessed. Our results showed that numbers of CD4+ and CD8+ T cells were decreased in frail subjects, without impairment to their ratios. Memory and naïve T cells were not significantly affected by frailty, whereas the expression of CD28 but not that of ICOS was decreased in T cells from frail subjects. T cells from robust subjects produced more IL-17 after CD28 stimulation. Levels of serum cytokines were similar in frail subjects and controls. Mitochondrial bioenergetics and ATP levels were significantly lower in immune cells from frail subjects. In conclusion, we suggest that changes in T cell profiles are associated with aging rather than with frailty syndrome; however, changes in T cell response to immune stimuli and reduced mitochondrial activity in immune cells may be considered hallmarks of frailty.

Musculoskeletal Diseases Role in the Frailty Syndrome: A Case-Control Study

Frailty syndrome severely burdens older age, and musculoskeletal diseases are of paramount importance in its development. The aim of this study is to unravel the contribution of musculoskeletal diseases to frailty syndrome. This is a case-control study, and we enrolled 55 robust community-dwelling age- and gender-matched patients, with 58 frail and pre-frail subjects. Frailty was diagnosed according to the Fried criteria (FP), and the Fragility Index (FI) was calculated. In all the subjects, a comprehensive geriatric assessment was carried out. Their nutritional status was evaluated by the Mini Nutritional Assessment and Bioelectrical Impedance Analyses. Their bone density (BMD), bone turnover, muscle mass, strength and performance were evaluated. Here, we show that the prevalence of frailty varies according to the diagnostic criteria used and that FP and FI showed a moderate to good agreement. Despite age and gender matching, frail subjects had lower muscle strength, performance and BMD. Their quality of life and cognitive performance were reduced in the frail subjects compared to the robust ones. Muscular strength and performance, together with mood, significantly predicted the diagnosis of frailty, whereas BMD and bone turnover did not. In conclusion, we show that sarcopenia plays a pivotal role in predicting the diagnosis of frailty, whereas osteoporosis does not.

How Well Do Low Population-Specific Values for Muscle Parameters Associate with Indices of Poor Physical Health? Cross-Sectional Data from the Geelong Osteoporosis Study

We aimed to examine associations between skeletal muscle deficits and indices of poor health. Cut-points for skeletal muscle deficits were derived using data from the Geelong Osteoporosis Study and definitions from the revised European Consensus on Definition and Diagnosis and the Foundation for the National Institutes of Health. Participants (n = 665; 323 women) aged 60–96 year had handgrip strength measured by dynamometry and appendicular lean mass by whole-body dual-energy X-ray absorptiometry. Physical performance was assessed using the Timed Up and Go test. Sex-specific cut-points were equivalent to two standard deviations below the mean young reference range from the Geelong Osteoporosis Study. Indices of poor health included fractures, falls, and hospitalisations. Low trauma fractures since age 50 year (excluding skull, face, digits) were self-reported and confirmed using radiological reports. Falls (≥1 in the past 12 months) and hospitalisations (past month) were self-reported. Logistic regression models (age- and sex-adjusted) were used to examine associations. Receiver Operating Characteristic curves were applied to determine optimal cut-points for handgrip strength, Timed Up and Go, appendicular lean mass/height2, and appendicular lean mass/body mass index that discriminated poor health outcomes. There were 48 participants (6.9%) with hospitalisations, 94 (13.4%) with fractures, and 177 (25.3%) with at least one fall (≥1). For all cut-points, low handgrip strength was consistently associated with falls. There was little evidence to support an association between low appendicular lean mass, using any cut-point, and indices of poor health. Optimal cut-offs for predicting falls (≥1) were: handgrip strength 17.5 kg for women and 33.5 kg for men; Timed Up and Go 8.6 s for women and 9.9 s for men; appendicular lean mass/height2 6.2 kg/m2 for women and 7.46 kg/m2 for men; and appendicular lean mass/body mass index 0.6 m2 for women and 0.9 m2 for men. In conclusion, muscle strength and function performed better than lean mass to indicate poor health. These findings add to the growing evidence base to inform decisions regarding the selection of skeletal muscle parameters and their optimal cut-points for identifying sarcopenia.