Association of Motoric Cognitive Risk Syndrome with Sarcopenia and Systemic Inflammation in Pre-Frail Older Adults

Predictive role of preoperative sarcopenia for long-term survival in rectal cancer patients: A meta-analysis

PURPOSE

To identify the predictive role of sarcopenia in long-term survival among rectal cancer patients who underwent surgery based on available evidence.

METHODS

The Medline, EMBASE and Web of Science databases were searched up to October 20, 2023, for relevant studies. Overall survival (OS), disease-free survival (DFS) and cancer-specific survival (CSS) were the endpoints. Hazard ratios (HRs) and 95% confidence intervals (CIs) were combined to evaluate the association between sarcopenia and survival.

RESULTS

Fifteen studies with 4283 patients were included. The pooled results demonstrated that preoperative sarcopenia significantly predicted poorer OS (HR = 2.07, 95% CI = 1.67-2.57, P<0.001), DFS (HR = 1.85, 95% CI = 1.39-2.48, P<0.001) and CSS (HR = 1.83, 95% CI = 1.31-2.56, P<0.001). Furthermore, subgroup analysis based on neoadjuvant therapy indicated that sarcopenia was a risk factor for worse OS and DFS in patients who received (OS: HR = 2.44, P<0.001; DFS: HR = 2.16, P<0.001) but not in those who did not receive (OS: HR = 2.44, P<0.001; DDFS: HR = 1.86, P = 0.002) neoadjuvant chemoradiotherapy. In addition, subgroup analysis based on sample size and ethnicity showed similar results.

CONCLUSION

Preoperative sarcopenia is significantly related to poor survival in surgical rectal cancer patients and could serve as a novel and valuable predictor of long-term prognosis in these patients.

Social frailty and the incidence of motoric cognitive risk syndrome in older adults

INTRODUCTION

Various associations between social factors and motoric cognitive risk syndrome (MCR) have been reported. However, whether social frailty (integrated from multiple social factors) is associated with MCR is still unclear.

METHODS

We included 4657 individuals without MCR at Round 1 of the NHATS as the discovery sample, and 3075 newly recruited individuals from Round 5 of the NHATS as the independent validation sample. Social frailty was assessed by five social items. MCR was defined as the presence of both subjective cognitive complaints and slow gait speed in individuals without dementia or mobility disability.

RESULTS

Compared with normal individuals, those with social frailty had higher risk of incident MCR (hazard ratio [HR]: 1.57, 95% confidence interval [CI]: 1.34-1.84). Each additional unfavorable social item was associated with an increased risk of MCR (HR: 1.32, 95% CI: 1.22-1.43).

DISCUSSION

Social frailty was associated with an increased risk of incident MCR in older adults.

HIGHLIGHTS

Various associations between social factors and motoric cognitive risk syndrome (MCR) have been reported. Social frailty that integrated from multiple social factors was associated with an increased risk of incident MCR. Social frailty should be included in the early screening of individuals to identify those at higher risk of MCR.

Association of intrinsic capacity with functional ability, sarcopenia and systemic inflammation in pre-frail older adults

Background

Decline in intrinsic capacity (IC) has been shown to accelerate progression to disability. The study aims to explore association of IC composite score with functional ability, sarcopenia and systemic inflammation in pre-frail older adults.

Methods

Cross-sectional study of pre-frail older adults ≥60 years old recruited from the community and primary care centers. Composite scores of four domains of IC were measured: locomotion, vitality, cognition and psychological. FRAIL scale was used to define pre-frailty. Muscle mass was measured using the bioelectrical impedance analysis. Systemic inflammation biomarkers [Interleukin-6 (IL-6), Interleukin-10 (IL-10), Tumor Necrosis Factor Alpha (TNF-α), and Growth differentiated factor 15 (GDF-15)] were measured. Participants in the lowest tertile (T1) exhibited greater decline in IC.

Results

A total of 398 pre-frail older adults were recruited, mean age was 72.7 ± 5.8 years, 60.1% female, education level 7.8 years, and 85.2% were of Chinese ethnicity. A total of 75.1% had decline in locomotion, 40.5% in vitality, 53.2% in cognition and 41.7% in psychological domain. A total of 95% had decline in at least one domain. T1 was significantly associated with ADL impairment (aOR 3.36, 95% CI 1.78-6.32), IADL impairment (aOR 2.37, 95% CI 1.36-4.13), poor perceived health (aOR 0.96, 95% CI 0.95-0.98), fall (aOR 1.63, 95% CI 1.05-2.84), cognitive impairment (aOR 8.21, 95% CI 4.69-14.39), depression (aOR 101.82, 95% CI 33.62-308.37), and sarcopenia (aOR 2.40, 95% CI 1.60-5.45). T1 had significant associations with GDF-15, IL-10, and IL-10 to TNF-α ratio.

Conclusion

Decline in IC composite score among pre-frail older adults was associated with functional limitation, sarcopenia, and systemic inflammation.

Biological and Physical Performance Markers for Early Detection of Cognitive Impairment in Older Adults

Dementia is a major cause of poor quality of life, disability, and mortality in old age. According to the geroscience paradigm, the mechanisms that drive the aging process are also involved in the pathogenesis of chronic degenerative diseases, including dementia. The dissection of such mechanisms is therefore instrumental in providing biological targets for interventions and new sources for biomarkers. Within the geroscience paradigm, several biomarkers have been discovered that can be measured in blood and that allow early identification of individuals at risk of cognitive impairment. Examples of such markers include inflammatory biomolecules, markers of neuroaxonal damage, extracellular vesicles, and DNA methylation. Furthermore, gait speed, measured at a usual and fast pace and as part of a dual task, has been shown to detect individuals at risk of future dementia. Here, we provide an overview of available biomarkers that may be used to gauge the risk of cognitive impairment in apparently healthy older adults. Further research should establish which combination of biomarkers possesses the highest predictive accuracy toward incident dementia. The implementation of currently available markers may allow the identification of a large share of at-risk individuals in whom preventive interventions should be implemented to maintain or increase cognitive reserves, thereby reducing the risk of progression to dementia.

Association of cardiometabolic multimorbidity with motoric cognitive risk syndrome in older adults

INTRODUCTION

Motoric cognitive risk syndrome (MCR) is a predementia syndrome that is characterized by cognitive complaints and slow gait. Cardiometabolic multimorbidity (CMM) is associated with an increased risk of dementia. However, the relationship between CMM and MCR is still unclear.

METHODS

We included 4744 participants (aged 65+ years) without MCR at baseline from the National Health and Aging Trends Study (NHATS), who were followed-up from 2011 to 2018. CMM was defined as the presence of two or more cardiometabolic diseases (including diabetes mellitus, heart disease, and stroke).

RESULTS

CMM was significantly associated with an increased risk of MCR (hazard ratio [HR] 1.41, 95% confidence interval [CI] 1.13-1.75) in fully adjusted models. Consistent results were observed from stratified analyses of different subgroups. Increasing numbers of cardiometabolic diseases were dose-dependently associated with increased MCR risk (HR 1.33, 95% CI 1.20-1.48).

DISCUSSION

CMM is associated with an increased risk of MCR in older adults.

HIGHLIGHTS

Motoric cognitive risk syndrome (MCR) is a predementia syndrome characterized by slow gait speed and cognitive complaints.Cardiometabolic multimorbidity was associated with an increased MCR risk.An increased number of cardiometabolic diseases were dose-dependently associated with increased MCR risk.

Health factors associated with cognitive frailty in older adults living in the community

Introduction

This study aims to investigate the health factors associated with cognitive frailty in frail and pre-frail older adults living in the community.

Methods

A total of 233 older adults meeting Fried's criteria for pre-frailty or frailty were included. Cognitive status was evaluated using the Short Portable Mental Status Questionnaire. Health factors encompassed nutritional status (evaluated using the Mini Nutritional Assessment tool, body mass index, and waist, arm, and leg circumferences), physical function (assessed with the Short Physical Performance Battery), quality of life (measured with the total index of the EuroQoL 5-Dimension 5-Level questionnaire - EQoL-Index -, and the Visual-Analogue Scale - QoL-VAS - for today's health state), as well as sleep, physical activity, and inactivity estimated through wrist-worn accelerometers. Multivariable logistic regression analyses were conducted to identify potential predictors of cognitive frailty, considering age as a confounding factor.

Results

Cognitive frail participants exhibited advanced age, heightened self-reported exhaustion, diminished overall physical performance, reduced leg perimeter, decreased engagement in moderate-to-vigorous physical activity, and higher levels of inactivity (all p<0.05). However, after adjusting for age, only QoL-VAS emerged as a cognitive frailty risk factor (Odds ratio: 1.024), while the EQoL-Index, calf perimeter, and levels of moderate-to-vigorous physical activity were identified as protective factors (Odds ratios: 0.025, 0.929, and 0.973, respectively).

Discussion

This study highlights the complex relationship between non-modifiable factors such as age, and modifiable factors including quality of life, nutritional status, and physical activity in the development of cognitive frailty among older adults with a frailty phenotype living in the community.