Cognitive frailty as a predictor of adverse outcomes among older adults: A systematic review and meta-analysis

Development and validation of a nomogram for predicting cognitive frailty in patients on maintenance haemodialysis

AIMS

This study aimed to construct a nomogram for predicting the risk of cognitive frailty in patients on maintenance haemodialysis.

DESIGN

An explorative cross-sectional design was adopted.

METHODS

From April 2022 to July 2022, 496 participants were recruited from five haemodialysis centres in Qingdao, Shandong Province, China. Participants with cognitive frailty were screened by Frailty Phenotype scale and Mini-Mental State Examination. Least Absolute Shrinkage and Selection Operator (LASSO) regression and multivariate logistic regression were utilized to determine predictors. The predictive performance of the nomogram was validated by calibration and discrimination. Decision curve analysis was used to assess clinical utility. Internal validation was implemented using 1000 bootstrap samples to mitigate overfitting.

RESULTS

The prevalence of cognitive frailty was 17.5% (n = 87). Six risk predictors, namely health empowerment, alexithymia, age, educational level, marital status and dialysis vintage, were screened and used to develop a nomogram model. The nomogram had satisfactory discrimination and calibration, and decision curve analysis revealed considerable clinical utility.

CONCLUSIONS

A nomogram incorporated with the six risk predictors was developed, and it exhibited excellent prediction performance. The nomogram may strengthen the effective screening of patients at high risk of cognitive frailty.

IMPACT

This study established a tool for healthcare staff to predict cognitive frailty probability and identify risk factors in patients on maintenance haemodialysis. The nomogram can meet the needs of personalized care and precision medicine simultaneously.

PATIENT OR PUBLIC CONTRIBUTION

Data were collected from patients on maintenance haemodialysis by using questionnaire survey.

REPORTING METHOD

STROBE checklist was used.

Prevalence and risk factors of cognitive frailty among pre-frail and frail older adults in nursing homes

BACKGROUND

The purpose of this research was to stratify the level of frailty to examine the risk factors associated with reversible cognitive frailty (RCF) and potentially reversible cognitive frailty (PRCF) in nursing homes to provide a basis for hierarchical management in different stages of frailty.

METHODS

The study was a cross-sectional study conducted from September to November 2022; 504 people were selected by stratified random sampling after convenience selection from the Home for the Aged Guangzhou. The structured questionnaire survey was conducted through face-to-face interviews using the general data questionnaire, Fried Frailty Phenotype, Montreal Cognitive Assessment Scale.

RESULTS

In total, 452 individuals were included for analysis. A total of 229 cases (50.7%) were PRCF, 70 (15.5%) were RCF. Multivariate logistic regression analysis showed that in pre-frailty, the Geriatric Depression Scale (GDS-15) score (odds ratio (OR) 1.802; 95% CI 1.308-2.483), Instrumental Activities of Daily Living Scale (IADL) score (0.352; 0.135-0.918) and energy (0.288; 0.110-0.755) were influencing factors of RCF. GDS-15 score (1.805; 1.320-2.468), IADL score (0.268; 0.105-0.682), energy (0.377; 0.150-0.947), lack of intellectual activity (6.118; 1.067-35.070), admission time(>3 years) (9.969; 1.893-52.495) and low education (3.465; 1.211-9.912) were influencing factors of PRCF. However, RCF with frailty was associated with the Short-Form Mini-Nutritional Assessment (MNA-SF) score (0.301; 0.123-0.739) and low education time (0 ~ 12 years) (0.021; 0.001-0.826). PRCF with frailty was associated with age (1.327; 1.081-1.629) and weekly exercise time (0.987; 0.979-0.995).

CONCLUSIONS

The prevalence of RCF and PRCF was high among pre-frail and frail older adults in nursing homes. Different levels of frailty had different influencing factors for RCF and PRCF. Depression, daily living ability, energy, intellectual activity, admission time, education level, nutrition status, age and exercise time were associated with RCF and PRCF. Hierarchical management and intervention should be implemented for different stages of frailty to prevent or delay the progression of cognitive frailty.

The Prevalence of Cognitive Frailty and Its Association with Sleep duration and Depression Among Older Adults with Heart Failure

OBJECTIVES

The prevalence of cognitive frailty and its associated factors in older population with heart failure have not been extensively studied. We investigated the prevalence of cognitive frailty and its association with sleep duration and depression among older adults with heart failure.

METHODS

This secondary analysis used a cross-sectional sample with 168 older adults with heart failure from an academic tertiary care hospital in South Korea.

RESULTS

Cognitive frailty was found in 58 (34.5%) older adults with heart failure. Our main finding revealed that longer sleep durations of ≥ 8 h (adjusted odds ratio (OR) = 2.62, 95% confidence interval (CI) = 1.04-6.59) and depression (adjusted OR = 2.84, 95% CI = 1.22-6.61) predicted an increased risk of cognitive frailty.

CONCLUSIONS

Early detection on changes in sleep patterns and depression can play a crucial role in reducing the risk of cognitive frailty in patients with heart failure. Longitudinal studies are needed to explore that sleep patterns and depression are both linked to greater risk of developing cognitive frailty among older adults with heart failure.

CLINICAL IMPLICATIONS

Development of a validated instrument for cognitive frailty screening may be beneficial for older adults with heart failure to prevent adverse outcomes.

Prognostic models and factors identifying end-of-life in non-cancer chronic diseases: a systematic review

BACKGROUND

Precise prognostic information, if available, is very helpful for guiding treatment decisions and resource allocation in patients with non-cancer non-communicable chronic diseases (NCDs). This study aimed to systematically review the existing evidence, examining prognostic models and factors for identifying end-of-life non-cancer NCD patients.

METHODS

Electronic databases, including Medline, Embase, CINAHL, Cochrane Library, PsychINFO and other sources, were searched from the inception of these databases up until June 2023. Studies published in English with findings mentioning prognostic models or factors related to identifying end-of-life in non-cancer NCD patients were included. The quality of studies was assessed using the Quality in Prognosis Studies tool.

RESULTS

The analysis included data from 41 studies, with 16 focusing on chronic obstructive pulmonary diseases (COPD), 10 on dementia, 6 on heart failure and 9 on mixed NCDs. Traditional statistical modelling was predominantly used for the identified prognostic models. Common predictors in COPD models included dyspnoea, forced expiratory volume in 1 s, functional status, exacerbation history and body mass index. Models for dementia and heart failure frequently included comorbidity, age, gender, blood tests and nutritional status. Similarly, mixed NCD models commonly included functional status, age, dyspnoea, the presence of skin pressure ulcers, oral intake and level of consciousness. The identified prognostic models exhibited varying predictive accuracy, with the majority demonstrating weak to moderate discriminatory performance (area under the curve: 0.5-0.8). Additionally, most of these models lacked independent external validation, and only a few underwent internal validation.

CONCLUSION

Our review summarised the most relevant predictors for identifying end-of-life in non-cancer NCDs. However, the predictive accuracy of identified models was generally inconsistent and low, and lacked external validation. Although efforts to improve these prognostic models should continue, clinicians should recognise the possibility that disease heterogeneity may limit the utility of these models for individual prognostication; they may be more useful for population level health planning.

Modifiable risk factors of cognitive frailty in community-dwelling older adults: A systematic review and meta-analysis

PURPOSE

To perform a meta-analysis identifying the modifiable risk factors of cognitive frailty in the elderly.

METHODS

We systematically searched databases including PubMed, EMBASE, China National Knowledge Infrastructure, China Science and Technology Journal Database, Wanfang Data Knowledge Service Platform from January 01, 2017 to March 26, 2022. Quantitative, original research reporting associated factors were included.

FINDINGS

7,854 records in total were identified, of which 14 articles (1 prospective, 13 cross-sectional) with 36 factors were included. Studies on cognitive frailty included 20,390 community-dwellers (≥60 years) from three countries. Meta-analysis indicated that depression [OR = 3.60, 95%CI (2.25,5.78), p < 0.01] and sleep problems [OR = 2.36, 95%CI (1.62,3.43), p < 0.01] were associated with cognitive frailty.

CONCLUSIONS

Effective interventions targeting depression and sleep problems may lower the risk of cognitive frailty in the community seniors but need further study in high-quality, prospective studies.

IMPLICATIONS FOR NURSING PRACTICE

Building on previous work, the objectives of this systematic review and meta-analysis were to explore potential modifiable risk factors for cognitive frailty in community-dwelling older adults, which is expected to throw light on the prevention of cognitive frailty.

Defining and assessing psychological frailty in older adults: a scoping review protocol

INTRODUCTION

Frailty is widely acknowledged as a multidimensional construct encompassing physical, psychological and social aspects. However, the lack of consensus in defining and operationalising psychological frailty challenges the holistic approach to frailty advocated by health professionals. Consequently, there is a need to develop a comprehensive definition of psychological frailty based on contributions made by experts in the field, primarily existing frailty assessment tools. This scoping review will aim to identify the key psychological variables that are considered in frailty assessment tools used with older adults as well as to analyse how these psychological variables have been operationalised.

METHODS AND ANALYSIS

The study will be conducted in accordance with recommendations from several methodological frameworks for scoping reviews and will be reported following Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews statement guidelines. A systematic literature search will be performed in the CINAHL, MEDLINE, PsycInfo, Scopus and Web of Science databases, supplemented by a search in Google Scholar and reference lists. The focus will be on studies that describe the development of multicomponent frailty assessment tools including at least one psychological variable. Study selection and data extraction will be independently conducted by three reviewers working in pairs. Data will be presented in tabular form, and the data will be analysed using qualitative content analysis.

ETHICS AND DISSEMINATION

This study does not require ethical approval since it is based on secondary data analysis. The findings of the review will be disseminated through publication in a peer-reviewed scientific journal and will be presented at conferences and seminars.

TRIAL REGISTRATION NUMBER

The scoping review was registered in Open Science Framework on 29 March 2022 (https://osf.io/bn24y).

Mapping the landscape: A bibliometric analysis of information and communication technology adoption by older adults with cognitive frailty or impairment

The adoption of information and communication technology (ICT) by older adults with cognitive frailty and impairment is beneficial to support aging in place and promote healthy aging. However, data are scarce regarding the use of ICT by this demographic in comparison with other age groups. This bibliometric analysis was aimed at systematically mapping the literature on ICT-related research on older adults with cognitive frailty and cognitive impairment to provide insights into research trends, patterns and knowledge gaps. Data were extracted from the Web of Science database, which identified 324 publications between 1980 and 2023. Performance analysis and science mapping were carried out using Microsoft® Excel, VOSViewer and Harzing's Publish or Perish. The analysis showed an upsurge in the research output trend over time. Notable journals, authors, citations, nations and research areas have been documented. Four key clusters were identified, including: (i) caregiver concern, support and involvement; (ii) technology as a tool for cognitive training and cognitive rehabilitation; (iii) cognitive improvement; and (iv) the use of technology for prevention and self-management. The findings derived from this analysis provide an appropriate reference for future researchers to bridge the gap in ICT-related studies among this population, and distinguish the relevant articles that are required for further investigation. These include the need for further long-term research, the incorporation of ICT-based approaches to counter cognitive frailty and the importance of multidomain telehealth interventions. Geriatr Gerontol Int 2024; 24: 251-262.

Independent Association between Cognitive Frailty and Cardio-Ankle Vascular Index in Community-Dwelling Older Adults

INTRODUCTION

Although arterial stiffness has been suggested to be associated with poor physical function and mild cognitive impairment (MCI), its association with cognitive frailty (CF), a comorbidity of both, is unclear. This study aims to examine the association between CF and arterial stiffness in community-dwelling older adults.

METHODS

A cross-sectional analysis of 511 community-dwelling older adults aged 65 years or older (mean age 73.6 ± 6.2 years, 63.6% women), who participated in a community cohort study (Tarumizu Study, 2019), was conducted. Poor physical function was defined as either slowness (walking speed <1.0 m/s) or weakness (grip strength <28 kg for men and <18 kg for women). MCI was defined by the National Center for Geriatrics and Gerontology Functional Assessment Tool as a decline of at least 1.5 standard deviation from age- and education-adjusted baseline values in any one of the four cognitive domains (memory, attention, executive, and information processing). CF was defined as the combination of poor physical function and MCI. Arterial stiffness was measured using the Cardio-Ankle Vascular Index (CAVI), and the average of the left and right sides (mean CAVI) was used.

RESULTS

Multinomial logistic regression analysis adjusted for covariates was performed with the four groups of robust, poor physical function, MCI, and CF as dependent variables and mean CAVI as an independent variable. Using the robust group as reference, the poor physical function and MCI groups showed no significant relationship with the mean CAVI. The mean CAVI was significantly higher in the CF group (odds ratio 1.62, 95% confidence interval: 1.14-2.29).

CONCLUSION

A significant association was found between CF and the higher CAVI (progression of arterial stiffness). Careful observation and control of CAVI, which is also an indicator of arterial stiffness, may be a potential target for preventive interventions for CF.

To Be Frail or Not to Be Frail: This Is the Question-A Critical Narrative Review of Frailty

Many factors have contributed to rendering frailty an emerging, relevant, and very popular concept. First, many pandemics that have affected humanity in history, including COVID-19, most recently, have had more severe effects on frail people compared to non-frail ones. Second, the increase in human life expectancy observed in many developed countries, including Italy has led to a rise in the percentage of the older population that is more likely to be frail, which is why frailty is much a more common concern among geriatricians compared to other the various health-care professionals. Third, the stratification of people according to the occurrence and the degree of frailty allows healthcare decision makers to adequately plan for the allocation of available human professional and economic resources. Since frailty is considered to be fully preventable, there are relevant consequences in terms of potential benefits both in terms of the clinical outcome and healthcare costs. Frailty is becoming a popular, pervasive, and almost omnipresent concept in many different contexts, including clinical medicine, physical health, lifestyle behavior, mental health, health policy, and socio-economic planning sciences. The emergence of the new "science of frailty" has been recently acknowledged. However, there is still debate on the exact definition of frailty, the pathogenic mechanisms involved, the most appropriate method to assess frailty, and consequently, who should be considered frail. This narrative review aims to analyze frailty from many different aspects and points of view, with a special focus on the proposed pathogenic mechanisms, the various factors that have been considered in the assessment of frailty, and the emerging role of biomarkers in the early recognition of frailty, particularly on the role of mitochondria. According to the extensive literature on this topic, it is clear that frailty is a very complex syndrome, involving many different domains and affecting multiple physiological systems. Therefore, its management should be directed towards a comprehensive and multifaceted holistic approach and a personalized intervention strategy to slow down its progression or even to completely reverse the course of this condition.

Comprehensive, continuous, and compulsory monitoring of frailty in elderly

Background

The increasing elderly population makes frailty an increasing concern in society with vulnerability to stress and functional decline. Unrecognised comorbidities are common among the elderly due to lack of mention by the patients. Physicians should be equipped with effective interviewing skills along with the use of screening tools to assess any impairments in activities of daily living, cognition and signs of depression.

Objectives

To measure the degree of independence or dependence using scales and stratify patients based on Clinical Frailty Scale (CFS) so as to recommend it as a routinely usable tool.

Materials and Methods

In total, 191 elderly subjects above the age of 65 years were recruited for geriatric assessment. Tools that assess performance in daily living activities and cognition were used. The prevalidated CFS was used to score frailty to stratify patients into frail and non-frail groups, and the parameters were compared.

Results

Mean age of the study population was 69.54 years with 53.4% males and 46.6% females. Mean Katz index and mean Lawton score were >5. The mean Global Deterioration Scale (GDS) score was 1.5, and the mean clinical frailty score was 3.55. Significantly high number of male individuals were found in the frailty group. Hypertension was significantly higher in the frail group. The mean Katz scores were significantly lower, and mean GDS scores were significantly higher in the frailty group. Multivariable logistic regression has shown gender to be an important determinant of frailty with an odds ratio of 0.05 (CI-0.01-0.20). The higher Lawton score and GDS scores were significantly associated with frailty with an odds ratio of 0.33 (CI: 0.21-0.52) and 2.62 (CI: 1.14-6.02), respectively.

Conclusion

Men are more frail than women and co-morbidities like hypertension and coronary artery disease contribute to frailty with cognitive decline and decreased autonomy. A comprehensive assessment to identify frailty will provide a holistic view of well being among the elderly.

Bidirectional Relationship Between Circadian Rhythm and Frailty

Coupled with the ageing population, frailty, characterized by high prevalence and difficult treatment, has progressively evolved into a significant public health concern. Frail individuals can often observe serious metabolic disorders and sleep-wake cycle disruption, which may be caused by the decline in physiological reserve and increased vulnerability. Moreover, sleep-wake cycle disruptions and metabolic dysfunctions associated with circadian rhythm disorders are considered to be a central part of the disorder. Previous studies have documented a correlation between frailty and sleep-wake disruptions; nevertheless, the association between circadian rhythm disorders and frailty has not yet been definitively established. Hence, we hypothesize a bidirectional link between circadian rhythm disorders and frailty, with each condition exerting a significant influence on the progression of the other's disease trajectory.

Cognitive frailty in older adults with diabetes: prevalence and risk factors

In older adults living with diabetes, there is a higher prevalence of frailty and a greater risk of cognitive impairment. Cognitive frailty is defined by the presence of both and is associated with an increased risk of mortality. A systematic review was undertaken to estimate the prevalence of cognitive frailty in community-dwelling older adults living with diabetes and associated risk factors. This commentary critically appraises the review and explores the implications of the findings for community practice.

Relationship Between Cognitive Frailty and Mortality in Older Adults: A Systematic Review and Meta-Analysis

OBJECTIVE

To synthesize the pooled mortality risk estimate and determine whether cognitive frailty is a predictor of mortality.

DESIGN

A systematic review and meta-analysis.

SETTING AND PARTICIPANTS

The participants were community-dwelling older adults aged ≥60 years.

METHODS

PubMed, Web of Science, Embase, CINAHL, and the Cochrane Library databases were systematically searched. Two researchers independently screened potentially eligible literature, evaluated the quality of the included studies, and then extracted the data. We used STATA, version 15.0 to perform the all data.

RESULTS

Nineteen studies were included. The association between cognitive frailty and a higher risk of death was statistically significant [hazard ratio (HR), 2.01; 95% CI, 1.84-2.19; P < .001]. The outcomes indicated that cognitive frailty was a critical risk factor for predicting mortality (OR, 4.82; 95% CI, 1.59-14.57; P < .01). Based on different models of cognitive frailty, the results of subgroup analyses revealed that the risk of mortality was the highest in the Frail + mild cognitive impairment group (HR, 2.35; 95% CI, 2.05-2.70; P < .001). The subgroup analyses by region demonstrated that mortality risk was lowest in the European group (HR, 1.63; 95% CI, 1.4-1.87; P < .001).

CONCLUSIONS AND IMPLICATIONS

This study quantitatively portrays the pooled mortality risk estimate of cognitive frailty. The results suggest that in older adults, cognitive frailty can be a predictor of mortality. The findings could alert health care providers to pay more attention to cognitive frailty.

Risk Factors and Prediction Nomogram of Cognitive Frailty with Diabetes in the Elderly

Purpose

Diabetes is a well-recognized risk factor for cognitive frailty. This study aimed to investigate the influencing factors of cognitive frailty in elderly patients with diabetes and develop a nomogram for its assessment.

Methods

We collected the clinical data of diabetic patients aged 60 years or older and the patients were divided into training and validation cohorts at a ratio of 7:3. In the training cohort, logistic regression was used to screen out the influencing factors of cognitive frailty in elderly diabetic patients, and a risk prediction model and nomogram were constructed and verified in the validation cohort. The performance of the model was evaluated using various measures, including the area under the receiver operating characteristic curve, calibration curve, Hosmer-Lemeshow test and decision curve analysis.

Results

A total of 315 elderly diabetic patients were included, of which 87 (27.6%) patients had cognitive frailty. Age, albumin levels, calf circumference, duration of diabetes, intellectual activity, and depressive state were identified as independent risk factors for cognitive frailty in older patients with diabetes (P < 0.05). The training cohort and validation cohort demonstrated area under curve (AUC) values of 0.866 and 0.821, respectively.

Conclusion

Older patients with diabetes have a higher prevalence of cognitive frailty. The nomogram model exhibited satisfactory calibration and identification, providing a reliable tool for assessing the risk of cognitive frailty in individuals with diabetes.

Development and validation of a nomogram-assisted tool to predict potentially reversible cognitive frailty in Chinese community-living older adults

BACKGROUND

Cognitive frailty (CF) is a complex and heterogeneous clinical syndrome that indicates the onset of neurodegenerative processes and poor prognosis. In order to prevent the occurrence and development of CF in real world, we intended to develop and validate a simple and timely diagnostic instrument based on comprehensive geriatric assessment that will identify patients with potentially reversible CF (PRCF).

METHODS

750 community-dwelling individuals aged over 60 years were randomly allocated to either a training or validation set at a 4:1 ratio. We used the operator regression model offering the least absolute data dimension shrinkage and feature selection among candidate predictors. PRCF was defined as the presence of physical pre-frailty, frailty, and mild cognitive impairment (MCI) occurring simultaneously. Multivariate logistic regression was conducted to build a diagnostic tool to present data as a nomogram. The performance of the tool was assessed with respect to its calibration, discrimination, and clinical usefulness.

RESULTS

PRCF was observed in 326 patients (43%). Predictors in the tool were educational background, coronary heart disease, handgrip strength, gait speed, instrumental activity of daily living (IADL) disability, subjective cognitive decline (SCD) and five-times-sit-to-stand test. The diagnostic nomogram-assisted tool exhibited good calibration and discrimination with a C-index of 0.805 and a higher C-index of 0.845 in internal validation. The calibration plots demonstrated strong agreement in both the training and validation sets, while decision curve analysis confirmed the nomogram's efficacy in clinical practice.

CONCLUSIONS

This tool can effectively identify older adults at high risk for PRCF, enabling physicians to make informed clinical decisions and implement proper patient-centered individual interventions.

Relationship between Mild Cognitive Impairment, Pre-Frailty, Physical and Psychological Functioning, and Functional Capacity among Community-Dwelling Older Adults

Mild cognitive impairment (MCI) is associated with a high risk of dementia. Reportedly, 54.6% of older adults with MCI fall into the pre-frailty category. However, it is unclear what differences exist in older adults with regard to their physical, psychological, and functional capacities, which depend on MCI, pre-frailty, or a combination of the two. This study aimed to examine the differences between the association between physical function, psychological function, and functional capacity by examining a combination of MCI and pre-frailty among community-dwelling older Japanese individuals. The participants in the analysis were 236 older people living in the community. They were classified into four groups, as follows: normal, MCI only, pre-frailty only, and pre-frailty/MCI; furthermore, their physical, psychological, and functional capacities were compared. In addition, a multinomial logistic regression analysis was performed using MCI and pre-frailty as dependent variables. No associated factors were identified for MCI only, and a depressive mood was only associated with pre-frailty. When pre-frailty and MCI were combined, knee extension muscle strength, fastest gait speed, the s30 s chair stand test, depressed moods, and the instrumental activities of daily living (IADL) were correlated. Our results suggest that when MCI and pre-frailty are combined, declines in both physical and psychological functions and IADL are likely to occur.

Frailty: the perioperative and anesthesia challenges of an emerging pandemic

Frailty is a complex and multisystem biological process characterized by reductions in physiological reserve. It is an increasingly common phenomena in the surgical population, and significantly impacts postoperative recovery. In this review, we will discuss the pathophysiology of frailty, as well as preoperative, intraoperative, and postoperative considerations for frailty care. We will also discuss the different models of postoperative care, including enhanced recovery pathways, as well as elective critical care admission. With discoveries of new effective interventions, and advances in healthcare information technology, optimized pathways could be developed to provide the best care possible that meets the challenges of perioperative frailty.

Malnutrition, Depression, Poor Sleep Quality, and Difficulty Falling Asleep at Night Are Associated with a Higher Risk of Cognitive Frailty in Older Adults during the COVID-19 Restrictions

The COVID-19 restrictions, such as social isolation and disruption of daily routines, can have detrimental effects, including increased stress, anxiety, sleep disturbance, and physical and cognitive decline among older adults. This study aimed to examine the association between nutritional status, depression, sleep quality, falling asleep at night, and cognitive frailty (CF) among older Thai adults during the COVID-19 pandemic. This cross-sectional study included 408 older adults with an average age of 70.54 (5.49) years. CF was determined using Fried's frailty phenotype and the Montreal Cognitive Assessment Basic. The Mini Nutritional Assessment-Short Form, Pittsburgh Sleep Quality Index, and geriatric depression assessment were used for assessment. Multiple logistic regression analysis demonstrated that participants who were malnourished (OR 3.786; 95%CI 1.719-8.335), depressed (OR 5.003; 95%CI 2.399-10.434), had poor sleep quality (OR 1.613; 95%CI 1.041-2.500), and engaged in difficulty falling asleep (OR 1.809; 95%CI 1.022-3.203) had a higher risk of CF compared to those who did not exhibit these factors. Therefore, malnutrition, depression, poor sleep quality, and difficulty falling asleep were identified as risk factors for CF among older adults in Thailand linked to the impact of the COVID-19 pandemic. It is crucial to develop interventions to prevent CF resulting from the mentioned variables.

Depressive and Biopsychosocial Frailty Phenotypes: Impact on Late-life Cognitive Disorders

 In older age, frailty is a detrimental transitional status of the aging process featuring an increased susceptibility to stressors defined by a clinical reduction of homoeostatic reserves. Multidimensional frailty phenotypes have been associated with all-cause dementia, mild cognitive impairment (MCI), Alzheimer's disease (AD), AD neuropathology, vascular dementia, and non-AD dementias. In the present article, we reviewed current evidence on the existing links among depressive and biopsychosocial frailty phenotypes and late-life cognitive disorders, also examining common pathways and mechanisms underlying these links. The depressive frailty phenotype suggested by the construct of late-life depression (LLD) plus physical frailty is poorly operationalized. The biopsychosocial frailty phenotype, with its coexistent biological/physical and psychosocial dimensions, defines a biological aging status and includes motivational, emotional, and socioeconomic domains. Shared biological pathways/substrates among depressive and biopsychosocial frailty phenotypes and late-life cognitive disorders are hypothesized to be inflammatory and cardiometabolic processes, together with multimorbidity, loneliness, mitochondrial dysfunction, dopaminergic neurotransmission, specific personality traits, lack of subjective/objective social support, and neuroendocrine dysregulation. The cognitive frailty phenotype, combining frailty and cognitive impairment, may be a risk factor for LLD and vice versa, and a construct of depressive frailty linking physical frailty and LLD may be a good dementia predictor. Frailty assessment may enable clinicians to better target the pharmacological and psychological treatment of LLD. Given the epidemiological links of biopsychosocial frailty with dementia and MCI, multidomain interventions might contribute to delay the onset of late-life cognitive disorders and other adverse health-related outcomes, such as institutionalization, more frequent hospitalization, disability, and mortality.

Frailty in Kingdom of Saudi Arabia-Prevalence and Management, Where Are We?

A recent report from the United Nations state that the percentage of elderly individuals in the Kingdom of Saudi Arabia (KSA) will witness a sharp increase in the next three decades (5.6% in 2017 to 23% by 2050). This situation will lead to an increased prevalence of comorbidities and hence, will require close monitoring and constant care of such individuals who are prone to suffer from complications such as arthritis, cardiovascular disorders, diabetes, neurological disorders, etc. Frailty is one such age-related phenomenon which enhances the risk of falling, functional restrictions and greater vulnerability to adverse consequences, which tend to lead to institutionalization. Such factors highlight the importance of the urgent awareness for circumventing the progression of frailty toward a compromised health status. This concise report is an attempt to sum up the relevant research articles published with regard to frailty and concomitant diseases in the last 5 years. It also sums up the research on frailty in the KSA elderly population, till date. This article reflects the opinions of an author on tackling such issues through a well-directed mechanism involving interdisciplinary transitional care and geriatric co-management.

Risk Factors of Progression to Cognitive Frailty: Singapore Longitudinal Ageing Study 2

INTRODUCTION

Cognitive frailty is associated with higher risk of dementia and adverse health outcomes. However, multidimensional factors that influence cognitive frailty transitions are not known. We aimed to investigate risk factors of incident cognitive frailty.

METHODS

Prospective cohort study participants were community-dwelling adults without dementia and other degenerative disorders and baseline and follow-up, including N = 1,054 participants aged ≥55 free of cognitive frailty at baseline, with complete baseline (March 6, 2009, to June 11, 2013) and follow-up data at 3-5 years later (January 16, 2013, to August 24, 2018). Incident cognitive frailty was defined by one or more criteria of the physical frailty phenotype and <26 of Mini-Mental State Examination (MMSE) score. Potential risk factors assessed at baseline included demographic, socioeconomic, medical, psychological and social factors, and biochemical markers. Data were analyzed using least absolute shrinkage selection operator (LASSO) multivariable logistic regression models.

RESULTS

A total of 51 (4.8%) participants, including 21 (3.5%) of the cognitively normal and physically robust participants, 20 (4.7%) of the prefrail/frail only, and 10 (45.4%) of cognitively impaired only, transited to cognitive frailty at follow-up. Risk factors for transition to cognitive frailty were having eye problem (OR = 2.6, 95% CI 1.24-5.43) and low HDL cholesterol (OR = 4.1, 95% CI 2.03-8.40), while protective factors for cognitive frailty transition were higher levels of education (OR = 0.3, 95% CI 0.10-0.74) and participation in cognitive stimulating activities (OR = 0.4, 95% CI 0.17-0.82).

CONCLUSION

Multi-domain modifiable factors especially related to leisure activities predict cognitive frailty transition and may be targeted for prevention of dementia and associated adverse health outcomes.

Relationships between physical, cognitive, and social frailty and locomotive and non-locomotive physical activity of moderate to vigorous intensity

[Purpose] The purpose of this study was to examine the relationships between physical, cognitive, and social frailty and locomotive and non-locomotive physical activity of moderate to vigorous intensity in community-dwelling older adults and to explore effective intervention methods for preventing frailty. [Participants and Methods] Participants were 82 community-dwelling Japanese older males and females. Measurement items included basic information (age, gender, height, weight, body mass index, and the number of underlying diseases), physical activity, and assessment of physical, cognitive, and social frailty. Associations of physical, cognitive, and social frailty with physical activity were analyzed by group comparisons and multivariate analyses. [Results] The comparisons of physical activity indices for each frailty type revealed that physical frailty was associated with the number of steps and locomotive physical activity of moderate to vigorous intensity, whereas cognitive frailty and social frailty were not. Two overlapping types of frailty were associated with locomotive physical activity. When adjusted for age and gender, step counts and locomotive physical activity were each associated with physical frailty. [Conclusion] Future interventions to increase step counts and locomotive physical activity of moderate to vigorous intensity may be effective for preventing physical frailty; however, interventions other than simple physical activity need to be considered for the prevention of cognitive and social frailty.

Development of a frailty index from the Dutch public health monitor 2016 and investigation of its psychometric properties: a cross-sectional study

BACKGROUND

Frailty in older adults is an increasing challenge for individuals, health care organizations and public health, both globally and in The Netherlands. To focus on frailty prevention from a public health perspective, understanding of frailty status is needed. To enable measurement of frailty within a health survey that currently does not contain an established frailty instrument, we aimed to construct a frailty index (FI) and investigate its psychometric properties.

METHODS

We conducted a cross-sectional study using data from the Dutch Public Health Monitor (DPHM), including respondents aged ≥ 65 years (n = 233,498). Forty-two health deficits were selected based on literature, previously constructed FIs, face validity and standard criteria for FI construction. Deficits were first explored by calculating Cronbach's alpha, point-polyserial correlations, and factor loadings. Thereafter, we used the Graded Response Model (GRM) to assess item difficulty, item discrimination, and category thresholds.

RESULTS

Cronbach's alpha for the 42 items was 0.91. Thirty-seven deficits showed strong psychometric properties: they scored above the cutoff values for point-polyserial correlations (0.3) or factor loadings (0.4) and had moderate to very high discrimination parameters (≥ 0.65). These deficits were retained in the scale. Retaining the deficits with favorable measurement properties and removing the remaining deficits resulted in the FI-HM37.

CONCLUSION

The FI-HM37 was developed, an FI with 37 deficits indicative of frailty, both statistically and conceptually. Our results indicate that health monitors can be used to measure frailty, even though they were not directly designed to do so. The GRM is a suitable approach for deficit selection, resulting in a psychometrically strong scale, that facilitates assessment of frailty levels using the DPHM.

Criterion validity of the health assessment questionnaire for the national screening program for older adults in Japan: The SONIC study

AIM

In our previous study, we proposed that the total score of the 12 frailty-related items in the health assessment questionnaire for the national screening program for older adults could be used as an indicator of frailty. We aim to examine the criterion validity of the 12 frailty-related items for frailty.

METHODS

The data used in this study were from older Japanese individuals aged 78-81 years (n = 461) who participated in the in-venue (2019) and mailed questionnaire (2020) surveys of the Septuagenarians, Octogenarians, Nonagenarians Investigation with Centenarians study. A receiver operator characteristic (ROC) curve analysis was used to evaluate the criterion validity of the 12 frailty-related items for frailty defined based on the Japanese version of the Cardiovascular Health Study criteria. A multivariable logistic regression model was used to examine the independent association of the 12 frailty-related items with frailty.

RESULTS

The area under the ROC curve of the scores of the 12 frailty-related items for frailty was 0.79 (95% confidence interval [CI] = 0.73-0.85, P < 0.001). The cut-off value for frailty was 3 and 4 points, and the sensitivity and specificity were 55.9% and 85.8%, respectively. The multivariable logistic regression model showed that four or more scores of the 12 frailty-related items were significantly associated with frailty (adjusted odds ratio = 7.75, 95% CI = 4.10-14.65, P < 0.001).

CONCLUSIONS

The results of this study suggest that the 12 frailty-related items in the health assessment questionnaire for older adults may be useful for assessing frailty in community-dwelling older adults in a simplified manner. Geriatr Gerontol Int 2023; ••: ••-••.

Prevalence of cognitive frailty among older adults in China: a systematic review and meta-analysis

OBJECTIVE

This study aimed to investigate the prevalence of cognitive frailty among older adults in China.

DESIGN

Systematic review and meta-analysis.

METHODS

We searched the Cochrane Library, PubMed, Web of Science, Embase, China National Knowledge Infrastructure(CNKI), Wanfang, Chinese Biomedical Literature and Weipu (VIP) databases to collect information on the epidemiology of cognitive frailty among older adults in China. The study period was from the establishment of the database to March 2022. Two researchers independently screened the literature, extracted the data and assessed the risk of bias in the included studies. All statistical analyses were performed using Stata V.15.0.

RESULTS

We screened 522 records, of which 28 met the inclusion criteria. The results of the meta-analysis showed that the prevalence of cognitive frailty among older adults in China was 15%(95%CI (0.13%,0.17%)). The prevalence of cognitive frailty was higher in hospitals and nursing homes than in communities. Moreover, the prevalence of cognitive frailty was higher in women than in men. Furthermore, the prevalence rates of cognitive frailty in North China Hospital, older adults aged≥80 years, and illiterate individuals were 25%, 29%, and 55%, respectively.

CONCLUSIONS

In conclusion, in China, the prevalence of cognitive frailty is higher among older adults, is higher in women than in men, is higher in hospitals and nursing homes than in communities, and is higher in North China than other regions. Moreover, the higher the educational level, the lower the prevalence of cognitive frailty. Multimodal interventions for cognitive frailty, including increased exercise, nutritional support, increased socialisation opportunities and multifactorial strategies, may be effective in preventing cognitive frailty. These findings have important implications for adjusting healthcare and social care systems.

PROSPERO REGISTRATION NUMBER

CRD42023390486.

Socioeconomic and Ethnic Inequalities in the Progress of Multimorbidity and the Role of Health Behaviors

OBJECTIVES

To assess socioeconomic and ethnic inequalities in the progress of multimorbidity and whether behavioral factors explain these inequalities among older Americans.

DESIGN

Health and Retirement Study, a longitudinal survey of older American adults.

SETTING AND PARTICIPANTS

Data pooled from 2006 to 2018 (waves 8-14), which include 38,061 participants.

METHODS

We used 7 waves of the survey from 2006 to 2018. Socioeconomic factors were indicated by education, total wealth, poverty-income ratio (income), and race/ethnicity. Multimorbidity was indicated by self-reported diagnoses of 5 chronic conditions: diabetes, heart conditions, lung diseases, cancer, and stroke. Behavioral factors were smoking, excessive alcohol consumption, physical activity, and body mass index (BMI). Multilevel mixed effects generalized linear models were constructed to assess socioeconomic and ethnic inequalities in the progress of multimorbidity and the role of behavior. All variables included in the analysis were time-varying except gender, race/ethnicity, and education.

RESULTS

African American individuals had higher rates of multimorbidity than White individuals; however, after adjusting for income and education, the association was reversed. There were clear income, wealth, and education gradients in the progress of multimorbidity. After adjusting for behavioral factors, the relationships were attenuated. The rate ratio (RR) of multimorbidity attenuated by 9% among participants with the lowest level of education after accounting for behavior (RR 1.21; 95% CI 1.18-1.23 and 1.11; 95% CI 1.17-1.14) in the models unadjusted and adjusted for behaviors, respectively. Similarly, RR for multimorbidity among those in the lowest wealth quartile attenuated from 1.47 (95% CI 1.44-1.51) and 1.31 (95% CI 1.26-1.36) after accounting for behaviors.

CONCLUSION AND IMPLICATIONS

Ethnic inequalities in the progress of multimorbidity were explained by wealth, income, and education. Behavioral factors partially attenuated socioeconomic inequalities in multimorbidity. The findings are useful in identifying the behaviors that should be included in health promotion programs aiming at tackling inequalities in multimorbidity.

Cognitive frailty increases the risk of long-term care dependency in community-dwelling older adults: A nationwide cohort study in South Korea

AIM

To investigate whether cognitive frailty, compared with physical frailty or cognitive impairment alone, substantially increased the risk of long-term care (LTC) initiation in community-dwelling older adults.

METHODS

Subjects comprised a total of 39 148 participants aged 66 years from the Korean National Health Insurance-Senior cohort database. Cognitive frailty was defined as the coexistence of physical frailty and cognitive impairment, which was measured by the Timed Up and Go test and the Korean Dementia Screening Questionnaire-Prescreening, respectively. A stratified Cox model was estimated to explore the association of frailty status with LTC initiation.

RESULTS

The baseline prevalence of cognitive frailty was 8.7%. During a mean follow-up of 5.3 years, 646 older adults started receiving LTC services. Compared with the robust group, older adults with cognitive frailty showed the highest risk of LTC initiation (hazard ratio [HR], 2.65; 95% confidence interval [CI], 2.08-3.35), followed by those with cognitive impairment (HR, 1.62; 95% CI, 1.26-2.07) and physical frailty (HR, 1.50; 95% CI, 1.25-1.81). Furthermore, cognitive frailty in depressed older adults (HR, 3.16; 95% CI, 2.31-4.33) showed a higher risk of LTC initiation than in nondepressed older adults (HR, 2.10; 95% CI, 1.46-3.04).

CONCLUSIONS

Cognitive frailty was a significant predictor of LTC initiation among community-dwelling older adults, particularly if they are depressed. Early detection and timely intervention may help to delay LTC initiation in older adults with concurrent cognitive frailty and depression. Geriatr Gerontol Int 2023; 23: 117-123.

Leveraging network analysis to determine sex differences in factors associated with frailty among older adults living alone

BACKGROUND

Frailty is a complex geriatric syndrome typically characterized by multiple underlying etiological factors. We determined the contributing factors, by sex, using a network analysis.

METHODS

The study sample consisted of a cross-sectional cohort of community-dwelling older adults aged ≥ 65 years living alone in a Korean city (N = 1,037). Frailty was assessed via the Korean Frailty Index. Participants were assessed for sociodemographic, health-related, mental and cognitive, and social characteristics. Mixed graphical models including all variables were estimated using the R-package mgm discretely by sex. We also used the Walktrap cluster algorithm to identify differences in the network structure in terms of connectivity around frailty between the sex groups for further insights.

RESULTS

In both the networks for males and females, frailty correlated most strongly with nutritional status, presence of complex chronic disease, and self-efficacy, and exhibited proximity to decreased sleep quality and loneliness. However, frailty showed an association with suicidal ideation and the number of falls per year only in males, whereas it showed an association with functional disabilities only in females. The overall network connectivity around frailty was stronger with dense interactions (more edges) in the network for females than for males.

CONCLUSIONS

The results signify the need for sex-group customized multi-domain assessments and interventions for the prevention and improvement of frailty among community-dwelling older adults.

Cognitive Frailty and Functional Disability Among Community-Dwelling Older Adults: A Systematic Review

Background and Objectives

This review aimed to summarize the association between cognitive frailty (presence of frailty and cognitive impairment) and the risk of disabilities in activities of daily living (ADL), instrumental ADL (IADL), mobility, or other functional disabilities among older adults.

Research Design and Methods

PubMed, Embase, CINAHL Plus, and PsycINFO were searched from January 2001 to May 14, 2022, for observational studies that reported cognitive frailty among community-dwelling individuals aged 60 years and above. Results were narratively synthesized.

Results

Eleven studies encompassing 44 798 participants were included, with a prevalence of cognitive frailty ranging from 1.4% to 39.3%. Individuals with cognitive frailty were more likely to develop disabilities in ADL and IADL compared to robust (absence of frailty and cognitive impairment) individuals. Significant disability burden and elevated risk of combined ADL/IADL disability or physical limitation among participants with cognitive frailty were reported. There was limited evidence on the association between cognitive frailty and mobility disability.

Discussion and Implications

Individuals with cognitive frailty were likely at higher risk of developing functional disability and incurring higher disability burden than robust individuals, but evidence remains limited for those with prefrailty with cognitive impairment. Further research on this gap and standardization of cognitive frailty assessments would facilitate comparisons across populations.

PROSPERO Registration

CRD42021232222.

Psychosocial working conditions and cognitive and physical impairment in older age

BACKGROUND

Psychosocial working conditions are associated with cognitive and physical impairments. The aim of this study was to investigate the associations between mid-late life psychosocial working conditions and the combination of physical and cognitive impairment among older adults, and the potential sex differences in these associations.

METHODS

Data were derived from two Swedish nationally representative surveys (n = 839; follow-up: 20-24 years). Multinomial and binary logistic regressions assessed the associations between work stressors (job demand-control model), and a combination of cognitive and physical impairment.

RESULTS

Low control jobs were significantly associated with higher odds of cognitive (OR: 1.41, CI: 1.15-1.72) and physical impairment (OR: 1.23, CI: 1.02-1.47), and cognitive and physical impairment combined (OR: 1.50, CI: 1.19-1.89). Passive jobs (low control, low demand) were associated with higher odds of cognitive impairment (OR: 1.57, CI: 1.12-2.20), and combined cognitive and physical impairment (OR: 1.59, CI: 1.07-2.36). Active jobs (high control, high demand) were associated with lower odds of cognitive impairment (OR: 0.48, CI: 0.29-0.80). Sex-stratified analyses showed stronger associations among men; passive jobs were associated with both cognitive (OR: 2.18, CI: 1.31-3.63) and physical impairment (OR: 1.78, CI: 1.13-2.81), while low strain jobs were associated with less physical impairment (OR: 0.55, CI: 0.33-0.89). No significant associations between work stressors and impairment were found for women.

CONCLUSIONS

These results highlight the importance of psychosocial working conditions for late-life physical and cognitive impairment, especially among men. Jobs characterised by low control and low demands are associated with higher risk for impairments.

Risk factors predictive of adverse drug events and drug-related falls in aged care residents: secondary analysis from the ReMInDAR trial

BACKGROUND

Residents of aged-care facilities have high rates of adverse drug events. This study aimed to identify risk factors for adverse drug events in aged-care residents.

METHOD

This was a secondary study using data from a multicentre randomised controlled trial. Data from 224 residents for whom there was 6 months of baseline information were analysed. We assessed the risk of adverse drug events and falls (post hoc) in the subsequent 6 months. Adverse events were identified via a key word search of the resident care record and adjudicated by a multidisciplinary panel using a modified version of the Naranjo criteria. Covariates identified through univariable logistic regression, including age, sex, medicines, physical activity, cognition (Montreal Cognitive Assessment), previous adverse events and health service use were included in multivariable models.

RESULTS

Overall, 224 residents were included, with a mean age of 86 years; 70% were female. 107 (48%) residents had an adverse drug event during the 6-month follow-up. Falls and bleeding were experienced by 73 (33%) and 28 (13%) residents, respectively. Age (odds ratio [OR] 1.05, 95% confidence interval [CI] 1.01-1.10), weight (OR 1.02, 95% CI 1.002-1.04), previous fall (OR 2.58, 95% CI 1.34-4.98) and sedative or hypnotic medicine use (OR 1.98, 95% CI 1.52-2.60) were associated with increased risk of adverse drug events. Increased cognition (OR 0.89, 95% CI 0.83-0.95) was protective. Risk factors for falls were previous fall (OR 3.27, 95% CI 1.68-6.35) and sedative or hypnotic medicines (OR 3.05, 95% CI 1.14-8.16). Increased cognition (OR 0.88, 95% CI 0.83-0.95) was protective.

CONCLUSION

Our results suggest residents with a previous fall, reduced cognition, and prescription of sedative or hypnotic medicines were at higher risk of adverse drug events and should be considered for proactive prevention.

Frailty: A Multidimensional Biopsychosocial Syndrome

The original conceptual landscape of frailty has evolved into a complex, multidimensional biopsychosocial syndrome. This has broadened the field to now include social and behavioral scientists and clinicians from a wide range of specialties. This article aims to provide an updated overview of this conceptual change by examining the emerging definitions of physical, cognitive, social, and psychological frailty; the tools used for diagnosis and assessment of these domains; the epidemiology of the domains; their pathogenesis, risk factors, and course; frameworks for prevention and treatment; and unresolved issues affecting the field.

Changes in cardiovascular-health blood biomarkers in response to exercise intervention among older adults with cognitive frailty: A scoping review

Introduction: Cardiovascular health contributes significantly to the incidence of cognitive impairment. Prior to conducting exercise-related intervention, it is crucial to explore cardiovascular health blood parameters that have been commonly used as guidance for the purpose of monitoring. Information on the effectiveness of exercise on cardiovascular-related biomarkers is lacking, especially among older adults with cognitive frailty. Therefore, we aimed to review existing evidence on cardiovascular-related blood parameters and their changes following exercise intervention among older adults with cognitive frailty. Methods: A systematic search was conducted on PubMed, Cochrane, and Scopus databases. Related studies involving only human and full text in either English or Malay language were selected. Types of impairment were limited to cognitive impairment, frailty, and cognitive frailty. Studies were restricted to randomized controlled trial and clinical trial design studies. For charting purposes, all variables were extracted and tabulated. Trends in types of parameters studied were explored. Results: A total of 607 articles were screened, and the final 16 were included in this review. Four cardiovascular-related blood parameter categories were extracted: inflammatory, glucose homeostasis, lipid profile, and hemostatic biomarkers. The common parameters monitored were IGF-1 and HbA1c, glucose, and insulin sensitivity in some studies. Out of the nine studies on inflammatory biomarkers, exercise interventions showed a reduction in pro-inflammatory markers, namely, IL-6, TNF-α, IL-15, leptin, and C-reactive protein and an increase in anti-inflammatory markers, namely, IFN-γ and IL-10. Similarly, in all eight studies, glucose homeostasis-related biomarkers had improved with exercise intervention. The lipid profile was tested in five studies, with four studies showing improvements with exercise intervention via a decrease in total cholesterol, triglycerides, and low-density lipoprotein and an increase in high-density lipoprotein. A decrease in pro-inflammatory biomarkers and an increase in anti-inflammatory biomarkers were demonstrated with multicomponent exercise, including aerobic exercise in six studies and aerobic exercise on its own in the remaining two studies. Meanwhile, four out of six studies that yielded improvements in glucose homeostasis biomarkers involved only aerobic exercise and the remaining two studies involved multicomponent with aerobic exercise. Conclusion: The most consistent blood parameters studied were glucose homeostasis and inflammatory biomarkers. These parameters have been shown to improve with multicomponent exercise programs, particularly with the inclusion of aerobic exercise.

[Cognitive impairment in patients of cardiac surgery with senile asthenia syndrome and preastenia]

OBJECTIVE

To identify the features of the cognitive status in patients with cardiac surgery profile with senile asthenia syndrome (SAS) and preasthenia.

MATERIAL AND METHODS

A study included 272 patients admitted for coronary artery bypass grafting (CABG). Screening for preasthenia and SAS in patients before surgery was performed using the Brief Battery of Physical Functioning Tests. SAS and preasthenia were detected in 15% of patients (n=41). Seventy-five patients were selected in the comparison group without asthenia. Assessment of the state of cognitive functions was carried out using screening neuropsychological scales - the Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA).

RESULTS

The median of the MMSE score (27 [26; 28] and 28 [27; 29], p=0.04), and the MoCA score (23 [19; 25] and 25 [23; 27], p=0.0085) was significantly lower in patients with asthenia and pre-asthenia compared to patients without asthenia. According to the MoCA, about 60% of patients in the pre-asthenia-asthenia group had severe cognitive impairment, while in the group without asthenia, more than 30% of cases had normal cognitive functions (p=0.003). Significant intergroup differences were found in MoCA subtests, reflecting visuospatial skills, abstraction, verbal fluency and working memory (p=0.01-0.04). Regression analysis showed that age and physical functioning index (severity of asthenia) most significantly contributed to the basic cognitive status assessed by MoCA.

CONCLUSION

Features of the cognitive status in patients of cardiac surgery with the SAS and preasthenia are impairments of visuospatial thinking, verbal fluency, abstract thinking and working memory. The MoCA was shown to be informative in determining the basic cognitive status of cardiac surgical patients. At the same time, the greatest contribution to the basic cognitive status is made by age and the indicator of physical functioning, which characterizes the degree of asthenia.

Empagliflozin Improves the MicroRNA Signature of Endothelial Dysfunction in Patients with Heart Failure with Preserved Ejection Fraction and Diabetes

Endothelial dysfunction represents a key mechanism underlying heart failure with preserved ejection fraction (HFpEF), diabetes mellitus (DM), and frailty. However, reliable biomarkers to monitor endothelial dysfunction in these patients are lacking. In this study, we evaluated the expression of a panel of circulating microRNAs (miRs) involved in the regulation of endothelial function in a population of frail older adults with HFpEF and DM treated for 3 months with empagliflozin, metformin, or insulin. We identified a distinctive pattern of miRs that were significantly regulated in HFpEF patients compared to healthy controls and to HFpEF patients treated with the sodium glucose cotransporter 2 (SGLT2) inhibitor empagliflozin. Three miRs were significantly downregulated (miR-126, miR-342-3p, and miR-638) and two were significantly upregulated (miR-21 and miR-92) in HFpEF patients compared to healthy controls. Strikingly, two of these miRs (miR-21 and miR-92) were significantly reduced in HFpEF patients after the 3-month treatment with empagliflozin, whereas no significant differences in the profile of endothelial miRs were detected in patients treated with metformin or insulin. Taken together, our findings demonstrate for the first time that specific circulating miRs involved in the regulation of endothelial function are significantly regulated in frail HFpEF patients with DM and in response to SGLT2 inhibition. SIGNIFICANCE STATEMENT: We have identified a novel microRNA signature functionally involved in the regulation of endothelial function that is significantly regulated in frail patients with HFpEF and diabetes. Moreover, the treatment with the SGLT2 inhibitor empagliflozin caused a modification of some of these microRNAs in a direction that was opposite to what observed in HFpEF patients, indicating a rescue of endothelial function. Our findings are relevant for clinical practice inasmuch as we were able to establish novel biomarkers of disease and response to therapy.

Effectiveness of interventions in older adults with cognitive frailty: a systematic review and meta-analysis of randomised controlled trials

BACKGROUND

interventions targeting older adults with cognitive frailty have grown rapidly in recent years with inconsistent findings. However, there is no meta-analysis that has synthesised pooled estimates.

OBJECTIVE

to synthesise the pooled effect of current targeted interventions in older people with cognitive frailty.

METHODS

we conducted a systematic search in PubMed, Embase, Web of Science, the Cochrane Library, the JBI database and three Chinese databases (CNKI, Wan-Fang and VIP) for literature from the inception of the database until 8 March 2022. The mean difference or standardised mean difference with 95% CIs was calculated. The methodological quality was assessed by the Cochrane RoB 2.0. The certainty of evidence was assessed using the GRADE criteria.

RESULTS

thirteen randomised controlled trials with a total of 1,089 participants were included. The results of the meta-analysis showed that older adults with cognitive frailty in the intervention groups had significant improvement in frailty score [MD = -1.67, 95% CI (-2.39, -0.95), P < 0.00001, I2 = 97%], global cognitive function [MD = 3.38, 95% CI (1.90, 4.85), P < 0.00001, I2 = 93%], mobility [MD = -0.96, 95% CI (-1.27, -1.66), P < 0.00001, I2 = 0%], muscle strength [SMD = 0.75, 95% CI (0.09, 1.41), P = 0.03, I2 = 85%] and nutritional status [MNA:MD = 5.64, 95% CI (3.99, 7.29), P < 0.00001, I2 = 89%; ALB: MD = 3.23, 95% CI (0.76, 5.71), P = 0.01, I2 = 93%; PALB: MD = 54.52, 95% CI (25.26, 83.77), P = 0.0003, I2 = 96%; TRF: MD = 0.64, 95% CI (0.22, 1.06), P = 0.003, I2 = 97%]. The overall certainty of the evidence ranged from low to moderate.

CONCLUSIONS

interventions targeting older adults with cognitive frailty are effective in improving physical frailty, global cognitive function, physical function and nutritional status with low to moderate certainty. More research is still needed in the future to further enrich the evidence in these fields.

PROSPERO NUMBER

CRD42022318758.

Prevalence and possible factors of cognitive frailty in the elderly with hypertension and diabetes

BACKGROUND

Cognitive frailty is the coexistence of physical frailty and mild cognitive impairment. Research shows that cognitive frailty is related to an increased risk of hospitalization, mortality, disability, and dementia. Diabetes and hypertension are common risk factors for physical frailty and cognitive impairment. However, the factors influencing cognitive frailty in the elderly with hypertension and diabetes are still unclear. This study aimed to investigate the possible factors influencing cognitive frailty in the elderly with hypertension and diabetes.

METHODS

A cross-sectional study was conducted. We evaluated people over 60 years with hypertension and diabetes who underwent physical examination in Wuxi Xin'an Community Health Service Center. Frail scale, Montreal Cognitive Assessment-Basic and clinical dementia rating were used to assess cognitive frailty. We collected demographic characteristics, hypertension and diabetes-related laboratory indicators of the participants. We also used various scales to assess the overall health status of the elderly.

RESULTS

Approximately 20.8% of the participants were determined to have cognitive frailty in elderly adults with hypertension and diabetes. These participants were older, had a lower monthly income, and included a higher proportion of peasants. They also had a higher level of depression (p = 0.037), higher risk of falls (p = 0.000), higher risk of malnutrition (p = 0.002), poorer ability to perform activities of daily living (ADL) (p = 0.000), and less social support (p = 0.030). Multivariate regression analysis was used to further assess the factors for cognitive frailty. After adjusting for possible confounders, age and ADL score emerged as risk factors, whereas high monthly income decreased the risk of cognitive frailty.

CONCLUSION

Cognitive frailty is correlated with age, income, and ability to perform daily living activities in the elderly with diabetes and hypertension. Closer attention to the elderly who have low income and poor self-care ability may play an important role in the early prevention of cognitive frailty and even dementia.

Does cognitive frailty predict delayed neurocognitive recovery after noncardiac surgery in frail elderly individuals? Probably not

Introduction

Delayed neurocognitive recovery (DNR) is a common post-surgical complication among the elderly. Cognitive frailty (CF) is also an age-related medical syndrome. However, little is known about the association between CF and DNR. Therefore, this study aimed to study whether CF is associated with DNR in elderly patients undergoing elective noncardiac surgery, as well as to explore the potential risk factors for DNR in frail elderly individuals and construct a prediction model.

Methods

This prospective cohort study administered a battery of cognitive and frailty screening instruments for 146 individuals (≥65 years old) scheduled for elective noncardiac surgery. Screening for CF was performed at least one day before surgery, and tests for the presence of DNR were performed seven days after surgery. The association between CF and DNR was investigated. Moreover, the study subjects were randomly divided into a modeling group (70%) and a validation group (30%). Univariate and multivariate logistic regression was performed to analyze the modeling group data and identify the independent risk factors for DNR. The R software was used to construct DNR's nomogram model, verifying the model.

Results

In total, 138 individuals were eligible. Thirty-three cases were diagnosed with DNR (23.9%). No significant difference in the number of patients with CF was observed between the DNR and non-DNR groups (P &gt; 0.05). Multivariate analysis after adjusting relevant risk factors showed that only the judgment of line orientation (JLOT) test score significantly affected the incidence of DNR. After internal validation of the constructed DNR prediction model, the area under the curve (AUC) of the forecast probability for the modeling population (n = 97) for DNR was 0.801, and the AUC for the validation set (n = 41) was 0.797. The calibration curves of both the modeling and validation groups indicate that the prediction model has good stability.

Conclusion

Cognitive frailty is not an independent risk factor in predicting DNR after noncardiac surgery in frail elderly individuals. The preoperative JLOT score is an independent risk factor for DNR in frail elderly individuals. The prediction model has a good degree of discrimination and calibration, which means that it can individually predict the risk probability of DNR in frail elderly individuals.

Impact of frailty, mild cognitive impairment and cognitive frailty on adverse health outcomes among community-dwelling older adults: A systematic review and meta-analysis

Aims

This study analyzes the impact of frailty, mild cognitive impairment, and cognitive frailty on adverse outcomes in community-dwelling older adults.

Methods

This systematic review and meta-analysis were conducted using the PRISMA guidelines and MOOSE statement. We developed a specific search strategy for each electronic database and searched PubMed, Web of Science, MEDLINE, and Embase from initial records to July 2021. The studies on adverse outcomes of frailty, pre-frailty, mild cognitive impairment, and mild cognitive impairment with pre-frailty and cognitive frailty were included. Two researchers independently extracted data based on a spreadsheet and assessed the risk of bias. The primary outcomes were mortality, dementia, disability, and hospitalization. The second outcome included quality of life and falls. All analysis was conducted by using Review Manager (RevMan) 5.3 software.

Results

A total of 22 cohort studies (71,544 older adults with mean age ranging from 65.1 to 93.6 years) were included with a low risk of bias and high methodological quality with a NOS score ≥7. Compared to robust elders, individuals identified as frailty were associated with a higher risk of mortality (RR = 2.11, 95% CI: 1.57–2.83) and disability (RR = 5.91, 95% CI: 2.37–14.74). Mild cognitive impairment with pre-frailty was associated with mortality (RR = 1.74, 95% CI: 1.48–2.05) and dementia (RR = 4.15, 95% CI: 1.87–9.20). Pre-frailty was associated with a higher risk of mortality (RR = 1.29, 95% CI: 1.11–1.50). Cognitive frailty was associated with higher risk of incident mortality (RR = 2.41, 95% CI: 1.97–2.94), dementia (RR = 3.67, 95% CI: 2.81–4.78), disability (RR = 11.32, 95% CI: 4.14–30.97), and hospitalization (RR = 2.30, 95% CI: 1.60–3.32), as well as poor quality of life.

Conclusion

Cognitive frailty could be a comprehensive psychosomatic predictor for adverse outcomes among older people. Interactions between frailty, mild cognitive impairment, and cognitive frailty on adverse outcomes must be further explored.

Systematic review registration

[https://inplasy.com/inplasy-2022-5-0064/], identifier [INPLASY202250064].

Association of sleep quality and nap duration with cognitive frailty among older adults living in nursing homes

Background

Sleep status, including sleep quality and nap duration, may be associated with frailty and cognitive impairment in older adults. Older adults living in nursing homes may be more prone to physical and cognitive frailties. This study aimed to investigate the association between sleep quality and nap duration, and cognitive frailty among older adults living in nursing homes.

Methods

This study included 1,206 older adults aged ≥ 60 years from nursing homes in Hunan province, China. A simple frailty questionnaire (FRAIL scale) was used and Mini-Mental State Examination was conducted to assess physical frailty and cognitive impairment, respectively, to confirm cognitive frailty. The Pittsburgh Sleep Quality Index was used to assess the sleep quality. Nap duration was classified as follows: no, short (≤30 min), and long (>30 min) napping. Multinomial logistic regression was conducted to estimate the odds ratio (OR) and 95% confidence interval (CI).

Results

The prevalence of cognitive frailty among the older adults in nursing homes was 17.5%. Approximately 60.9% of the older adults had a poor sleep quality. Among the 1,206 participants, 43.9% did not take naps, 29.1% had short naps, and 26.9% had long naps. After adjusting for all covariates, poor sleep quality (OR 2.53; 95% CI 1.78-3.59; P < 0.001) and long nap duration (OR 1.77; 95% CI 1.19-2.64; P = 0.003) were associated with higher odds of cognitive frailty, but short nap duration (OR 0.60; 95% CI 0.40-0.89; P = 0.012) was associated with low prevalence of cognitive frailty.

Conclusion

Poor sleep quality and long nap duration are significantly associated with high risk of cognitive frailty among the older adults in nursing homes. Short nap duration was associated with low prevalence of cognitive frailty. However, these associations require further validation in older adults.

Clinical trial registration

https://osf.io/57hv8.

The effects of interventions to enhance cognitive and physical functions in older people with cognitive frailty: a systematic review and meta-analysis

Introduction

Cognitive frailty is the co-existence of mild cognitive impairment and physical frailty that increases the risk of adverse health outcomes. The existing systematic reviews on cognitive frailty in the literature have focused only on identifying associated factors and adverse outcomes, and their relationship with frailty and cognition. This study aimed to examine the effects of interventions on cognitive functions, frailty, and physical functions and provide an overview of intervention components used in older people with cognitive frailty.

Methods

This is a systematic review and meta-analysis. Medline, PubMed, CINAHL, Embase, PsycINFO, and Cochrane were searched for publishing during 2013–2021. Studies were selected based on the following eligibility criteria: 1) older people (age ≥ 60 years), 2) cognitive frailty, 3) outcomes on frailty or cognition or physical function, and 4) randomized controlled trial with any type of intervention. The Physiotherapy Evidence Database (PEDro) scale was used to rate the quality of the included studies. The review protocol was registered with PROSPERO (CRD42021251321).

Results

Two thousand five hundred six studies were identified, 9 were eligible, and 8 were included in the meta-analysis. The standardized mean difference (Hedges G) between groups of cognitive functions was 0.95, frailty status was 0, physical function in walking was -1.67, and the physical function in core strength assessment was 3.39. Physical activity appeared as an essential component in all interventions for older people with cognitive frailty.

Discussion

All interventions include physical activity as one of the components. Other components include cognitive training, nutrition education, behavioural intervention, mind–body intervention, psychosocial support, and virtual reality. The interventions are effective to promote cognitive and physical functions, but not physical frailty.

Supplementary Information

The online version contains supplementary material available at 10.1186/s11556-022-00299-9.

Prevalence and associated factors of cognitive frailty in older patients with chronic kidney disease: a cross-sectional study

BACKGROUND

Chronic kidney disease (CKD) is prevalent in older adults. In the aging CKD population, cognitive frailty is more common, but its prevalence and associated risk factors need to be further investigated.

METHODS

This is a cross-sectional study that enrolled patients aged ≥ 60 years with a diagnosis of CKD from January 2018 to February 2021. Patients were assessed for frailty and cognition with the FRAIL and the Mini-Mental State Examination (MMSE) scales and were divided into the cognitive frailty and non-cognitive frailty groups. Risk factors for cognitive frailty were identified by univariate and multivariate logistic regression analyses. A prediction model for cognitive frailty was built and a nomogram was plotted. The performance of the nomogram was evaluated by using a concordance index (C-index) and calibration plots.

RESULTS

A total of 1015 older patients with CKD were enrolled, among whom 607 (59.8%) were males and 408 (40.2%) were females, with an age ranging from 60 to 98 years, and an cognitive frailty prevalence of 15.2%. The prevalence of cognitive frailty varied among the CKD stages 1-5, with rates of 4.7%, 7.5%, 13.8%, 18.5%, and 21.4%, respectively. Multivariate logistic regression analysis showed that age (OR = 1.11, 95%CI 1.08-1.14, p < 0.001), depression (OR = 2.52, 95%CI 1.54-4.11, p < 0.001), low social support (OR = 2.08, 95%CI 1.28-3.39, p = 0.003), Charlson comorbidity index (CCI) (OR = 1.92, 95%CI 1.70-2.18, p < 0.001), eGFR (OR = 0.98, 95%CI 0.96-0.99, p < 0.001) and albuminuria (OR = 5.93, 95%CI 3.28-10.74, p < 0.001) were independent risk factors affecting the association with cognitive frailty in older patients with CKD. A nomogram for assessing cognitive frailty was established and well-calibrated with a C-index of 0.91 (95%CI 0.89-0.94).

CONCLUSIONS

The prevalence of cognitive frailty was higher in older patients having CKD. Advanced age, comorbidity, depression, low social support, eGFR and albuminuria were independent risk factors for CKD accompanied with cognitive frailty.

Longitudinal relationship between sensory impairments and depressive symptoms in older adults: The mediating role of functional limitation

BACKGROUND

The underlying mechanism between sensory impairments (SIs) and depressive symptoms among Chinese older adults is not well understood. This study aims to explore the mediating role of functional limitation on the longitudinal relationship between SIs and depressive symptoms among older adults in China.

METHODS

A total of 4130 older adults who participated in the 3-year follow-up China Health and Retirement Longitudinal Study (CHARLS) were included in the analysis. The hierarchical multiple linear regression model and nonparametric bootstrapping method were employed to explore the relationship between SIs and depressive symptoms, and the mediating role of functional limitation in this link.

RESULTS

The prevalence of self-reported hearing impairment (HI) only, vision impairment (VI) only, and dual sensory impairment (DSI) at baseline were 5.7%, 22.2%, and 58.6%, respectively. After adjusting for controlling variables, older adults with DSI had significantly higher levels of depressive symptoms compared with those without SIs at baseline (β = .07, p = .005). The magnitude of mediation effect from DSI to depressive symptoms via functional limitation was a*b = 0.060 (BCa 95% confidence interval: 0.031-0.094).

CONCLUSIONS

Functional limitation partially mediated the relationship between DSI and depressive symptoms among Chinese older adults. Interventions of DSI and functional limitation should be included in depressive symptoms prevention among older adults in China.

Global Research on Cognitive Frailty: A Bibliometric and Visual Analysis of Papers Published during 2013–2021

This study analyzed the current status, hotspots, and emerging trends of global research on cognitive frailty, in order to provide new research ideas for researchers. Articles and reviews related to cognitive frailty, published from 2013 to 2021, were retrieved from the Web of Science Core Collection (WoSCC) database on 26 November 2021. CiteSpace 5.8.R3 was employed for data analyses. A total of 2077 publications were included. There has been a rapid growth of publications on cognitive frailty research since 2016. The United States, Italy, England, and Australia have been the leading research centers of cognitive frailty; however, China has also recently focused on this topic. The National Center for Geriatrics and Gerontology, and Shimada H. were found to be the most prolific institution and author, respectively. Co-citation analysis identified 16 clusters, of which the largest was cognitive frailty. The keywords which occurred most frequently were “older adult”, followed by “cognitive impairment”, “frailty”, “risk”, “dementia”, “prevalence”, “mortality”, “health”, and “Alzheimer’s disease”. Burst keyword detection revealed a rising interest in cognitive frailty models. By analyzing these publications from recent years, this study provides a comprehensive analysis of cognitive frailty research.

Cognitive Frailty is Associated With Elevated Proinflammatory Markers and a Higher Risk of Mortality

BACKGROUND

Cognitive impairment and physical frailty are common among older adults and associated with a higher likelihood of adverse health outcomes. These two conditions frequently coexist in the same individual as cognitive frailty, yet few studies have examined the impact of such comorbidity on clinical outcomes or underlying biological mechanisms.

METHODS

A total of 1,340 older adults (age ≥60 years old) from the Bambui Cohort Study of Ageing, with a total follow-up of 10 years, were included in this study. Frailty was defined by the accumulation of deficit framework and cognitive impairment based on scores on the MMSE less than 22. In addition, serum IL-6 levels were measured by cytometric bead array assay.

RESULTS

Individuals classified with cognitive frailty had significantly higher serum IL-6 levels compared to the robust, cognitively unimpaired group. Those with cognitive frailty (aOR = 1.97 [1.18-3.27] and prefrailty and cognitive impairment (aOR = 1.83 [1.24-2.69]) had the highest mortality risk over 10 years of follow-up. Higher IL-6 levels were also independently associated with a higher mortality rate (aOR = 1.37 [1.23-1.54]).

CONCLUSION

Our study shows that cognitive Frailty indicates a vulnerability state and of increasing mortality risk. Our findings also suggested that proinflammatory abnormalities can be viewed as a central phenomenon underlying common age-related problems (e.g., cognitive impairment and Frailty) and outcomes (e.g., mortality).

Cognitive Frailty as a Predictor of Mortality in Older Adults: A Longitudinal Study in Peru

Objective

To evaluate the role of cognitive frailty and its components as risk factors of mortality in older adults of the Centro Médico Naval (CEMENA) in Callao, Peru during 2010-2015.

Methods

We performed a secondary analysis of data from a prospective cohort that included older adults (60 years and older) treated at the CEMENA Geriatrics service between 2010–2015. Frailty was defined as the presence of three or more criteria of the modified Fried Phenotype. Cognitive impairment was assessed using the Peruvian version of the Mini Mental State Examination (MMSE), considering a score <21 as cognitive impairment. Cognitive frailty was defined as the coexistence of both. In addition, we included sociodemographic characteristics, medical and personal history, as well as the functional evaluation of each participant.

Results

We included 1,390 older adults (mean follow-up: 2.2 years), with a mean age of 78.5 ± 8.6 years and 59.6% (n = 828) were male. Cognitive frailty was identified in 11.3% (n = 157) and 9.9% (n = 138) died during follow-up. We found that cognitive frailty in older adults (aHR = 3.57; 95%CI: 2.33–5.49), as well as its components, such as sedentary behavior and cognitive impairment (aHR = 7.05; 95%CI: 4.46–11.13), weakness and cognitive impairment (aHR = 6.99; 95%CI: 4.41–11.06), and exhaustion and cognitive impairment (aHR = 4.51; 95%CI: 3.11–6.54) were associated with a higher risk of mortality.

Conclusion

Cognitive frailty and its components were associated with a higher risk of mortality in older adults. It is necessary to develop longitudinal studies with a longer follow-up and that allow evaluating the effect of interventions in this vulnerable group of patients to limit adverse health outcomes, including increased mortality.

Brain structural alterations and clinical features of cognitive frailty in Japanese community-dwelling older adults: the Arao study (JPSC-AD)

Cognitive frailty (CF) is a clinical condition defined by the presence of both mild cognitive impairment (MCI) and physical frailty (PF). Elderly with CF are at greater risk of dementia than those with MCI or PF alone, but there are few known clinical or neuroimaging features to reliably distinguish CF from PF or MCI. We therefore conducted a population-based cross-sectional study of community elderly combining physical, cognitive, neuropsychiatric, and multisequence magnetic resonance imaging (MRI) evaluations. The MRI evaluation parameters included white matter (WM) lesion volumes, perivascular and deep subcortical WM lesion grades, lacunar infarct prevalence, microbleed number, and regional medial temporal lobe (MTL) volumes. Participants were divided into 4 groups according to the presence or absence of MCI and PF-(1) no MCI, PF (n = 27); (2) no PF, MCI (n = 119); (3) CF (MCI + PF) (n = 21), (4) normal controls (n = 716). Unique features of CF included shorter one-leg standing time; severe depressive symptoms; and MRI signs of significantly more WM lesions, lacunar infarcts, small-vessel disease lesions, microbleeds, and reduced MTL volumes. These unique deficits suggest that interventions for CF prevention and treatment should focus on motor skills, depressive symptoms, and vascular disease risk factor control.

Multi-Concept Frailty Predicts the Late-Life Occurrence of Cognitive Decline or Dementia: An Updated Systematic Review and Meta-Analysis of Longitudinal Studies

Background

Frailty is a multidimensional syndrome that increases an individual’s vulnerability for developing adverse health outcomes, which include dementia. It might serve as a promising target for dementia prevention. However, there are currently no studies summarizing the association between multi-concept frailty and the risk of cognitive disorders. This study aims to summarize the evidence of associations between multi-concept frailty and cognitive disorders based on longitudinal studies.

Methods

Scopus, The Cochrane Library, PsycINFO, CINAHL, PubMed, and EMBASE databases were searched from inception to January 2, 2022. Longitudinal studies, which explored the association of frailty with incident risk of cognitive decline or dementia, were included. The multivariable-adjusted effect estimates were pooled by random-effects models. The evidence credibility was depicted according to the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) method.

Results

A total of 30 longitudinal studies were included. Four types of frailty concepts were involved, including physical, cognitive, social, and biopsychosocial frailty. The meta-analysis comprised 20 studies of 252,571 older adults (mean age: 64.1–80.4 years), among whom 7,388 participants developed cognitive decline or dementia. Physical frailty was associated with higher risk of developing cognitive disorders [pooled relative risk (pRR) = 1.52, 95% confidence interval (CI): 1.28–1.80, I2 = 21.2%, pRR = 1.62 for cognitive decline, 95% CI: 1.07–2.45, I2 = 40.2%, pRR = 1.37 for all-cause dementia (ACD), 95% CI: 1.13–1.66, I2 = 0.0%]. Cognitive frailty (pRR = 2.90, 95% CI: 1.28–6.55, I2 = 78.1%) and pre-frailty (pRR = 4.24, 95% CI: 2.74–6.56, I2 = 30.2%) were linked to higher risk of ACD. Biopsychosocial frailty could predict a 41% (pRR = 1.41, 95% CI: 1.17–1.71) elevated risk of cognitive decline or dementia [pRR = 1.53 (95% CI: 1.19–1.96) for ACD and 1.11 (95% CI: 1.05–1.17) for Alzheimer’s disease (AD)]. In the systematic review, social frailty was associated with a 53% higher risk of AD. Preventing frailty could avoid a maximum of 9.9% cognitive disorders globally. The overall evidence strength is rated as low-to-moderate. Inconsistency and imprecision are major sources of bias.

Conclusion

Frailty in late life is a promising risk factor for cognitive disorders. Frail elderly should be monitored for their cognitive dynamics and initiate early prevention of dementia.

Systematic Review Registration

www.ClinicalTrials.gov, identifier CRD4202127 3434.

The Correlation Between Falls and Cognitive Frailty in Elderly Individuals With Hypertension in a Chinese Community

Background

Cognitive frailty refers to the presence of both physical frailty and mild cognitive impairment without simultaneous diagnosis of Alzheimer's disease or other dementia. Epidemiological studies have confirmed the correlation between falls and cognitive frailty, but no study has investigated the relationship between fall risk and cognitive frailty in hypertensive elderly Chinese individuals.

Methods

From December 2020 to March 2021, during face-to-face interviews, community-dwelling elderly individuals with hypertension aged 60~89 in Pudong New Area, Shanghai, were evaluated for cognitive frailty, fall history, and depression, and sociodemographic characteristics were collected. Logistic regression was used to analyze the correlation between falls and cognitive frailty.

Results

A total of 305 elderly people were investigated in this study, and 173 (56.7%, 95% CI =51.2%~62.2%) reported falling once or more in the previous year. Cognitive frailty is closely related to falls and was an independent risk factor for falls (OR = 2.661, 95% CI = 1.063~6.659). Other risk factors included old age (OR = 4.306, 95% CI = 1.852~10.013), female sex (OR = 1.988, 95% CI = 1.185~3.335) and depression (OR = 2.936, 95% CI = 1.069~8.060).

Conclusion

Cognitive frailty is an important risk factor for falls in elderly individuals with hypertension in Chinese communities.

Amyloid-β oligomers in the nucleus accumbens decrease motivation via insertion of calcium-permeable AMPA receptors

It is essential to identify the neuronal mechanisms of Alzheimer's Disease (AD)-associated neuropsychiatric symptoms, e.g., apathy, before improving the life quality of AD patients. Here, we focused on the nucleus accumbens (NAc), a critical brain region processing motivation, also known to display AD-associated pathological changes in human cases. We found that the synaptic calcium permeable (CP)-AMPA receptors (AMPARs), which are normally absent in the NAc, can be revealed by acute exposure to Aβ oligomers (AβOs), and play a critical role in the emergence of synaptic loss and motivation deficits. Blockade of NAc CP-AMPARs can effectively prevent AβO-induced downsizing and pruning of spines and silencing of excitatory synaptic transmission. We conclude that AβO-triggered synaptic insertion of CP-AMPARs is a key mechanism mediating synaptic degeneration in AD, and preserving synaptic integrity may prevent or delay the onset of AD-associated psychiatric symptoms.