Multidimensional frailty and sleep quality in late adulthood: A UK biobank examination.

Frailty and sleep disturbances are two major concerns in late adulthood, that not only profoundly threaten health and wellbeing at the individual level but place enormous demands on our healthcare systems. Given that both constructs represent dynamic states that are preventable and reversible, understanding the potential pathways to and effects of these variables on one another is critical in providing effective and tailored support. However, despite growing interest in the relationship between sleep and frailty, only one study to date has directly explored their potential bidirectionality. Accordingly, this study was designed to extend the current understanding by investigating the reciprocal relationship of frailty and sleep quality at the multidimensional level. Specifically, the bidirectionality of these relationships was considered separately for physical, psychological, cognitive, and social frailty. Four random-intercept cross-lagged panel models with three time points were conducted, using 3192 older adults (Mage = 60.21; 46.37% female at baseline) from the UK Biobank. The results revealed that while physical, psychological, and cognitive frailty were neither predictive of, nor predicted by, sleep quality, social frailty and sleep share a reciprocal relationship. These data therefore offer important preliminary evidence for the efficacy of early intervention and prevention strategies aimed at enhancing sleep quality to reduce social frailty, and vice versa.

Association of Cognitive Frailty With Subsequent All-Cause Mortality Among Middle-Aged and Older Adults in 17 Countries.

OBJECTIVES: Cognitive frailty refers to the co-occurrence of cognitive impairment and frailty without concurrent Alzheimer's disease or dementia. Studies of cognitive frailty and mortality have been limited to single country or older people. However, frailty and cognitive decline may occur much earlier. We aimed to examine the association between different cognitive frailty status and subsequent all-cause mortality among middle-aged and older people in 17 countries. METHODS: Participants aged 50 and over were drawn from six prospective cohorts of aging. We classified participants according to their cognitive impairment and frailty status into the following groups: none, only cognitive impairment, only frailty and cognitive frailty. Competing-risks regression models were used to evaluate the association of different cognitive frailty status at baseline with subsequent all-cause mortality. RESULTS: The cognitive frailty group had a higher mortality risk compared to those without cognitive impairment and frailty groups. Meta-analysis results showed participants with cognitive frailty (pooled subhazard ratio [SHR] = 2.34, 95% confidence interval [CI]: 2.01-2.72, I2 = 68.0%) had a higher mortality risk compared with those with only cognitive impairment status (pooled SHR = 1.36, 95% CI: 1.25-1.48, I2 = 3.0%) or only frailty status (pooled SHR = 1.83, 95% CI: 1.72-1.95, I2 = 31.0%). The association between cognitive frailty and mortality were stronger among those who were aged 70 years and older, males, single and nonconsumers of alcohol. CONCLUSIONS: Cognitive frailty, frailty or cognitive impairment alone, is associated with an increased risk of all-cause mortality in Asian, European and American countries. Physical and cognitive function screening should be conducted as early as possible in middle-aged and older people, and targeted intervention approaches should be developed to reduce the incidence of adverse health outcomes.

Epidemiology and Outcomes Associated with Cognitive Frailty and Reserve in a Stroke Population: Systematic Review and Meta-Analysis.

INTRODUCTION: Cognitive frailty and the related concepts of cognitive reserve and imaging-based brain frailty are of increasing interest in older adult care. However, there is uncertainty regarding their importance within a stroke population. We aimed to establish the prevalence of cognitive frailty and reserve in stroke and determine impact on outcomes. METHODS: We conducted a systematic review across multidisciplinary electronic databases using validated search syntax. The protocol for this review has been published (PROSPERO, CRD42023433385). We identified studies on cognitive frailty and cognitive reserve, including studies that used related concepts. We extracted data to inform estimates of prevalence and associations with outcomes of physical function, cognition and quality of life, performing meta-analyses where possible. Risk of bias was assessed using Newcastle-Ottawa tools appropriate to study design. RESULTS: Our search returned 12,095 studies, from which 14 papers met our criteria. No studies described cognitive frailty, and rather studies described cognitive reserve and brain frailty. Cognitive reserve was assessed using proxy measures of education, employment, and leisure time. Four studies used the Cognitive Reserve Index Questionnaire (CRIq) with pooled estimate score of 103.25, 95% CI: 96.87-109.65 (indicating moderate cognitive reserve). Cognitive reserve had varying associations with post-stroke outcomes, three studies (n = 7,759 participants) reporting significant negative association with cognitive measures. Brain frailty was assessed using imaging markers. Across four studies (n = 3,086 participants), pooled prevalence of brain frailty was 73.8%, 95% CI: 72.2-75.3. Higher brain frailty was associated with poorer post-stroke outcomes for majority of studies assessed. Seven studies (50%) were scored as low risk of bias. CONCLUSION: Attempts to synthesise these data were complicated by inconsistency in terminology and heterogeneity in methods. However, our findings suggest that brain frailty is common in stroke and associated with poorer outcomes. The epidemiology of cognitive frailty and reserve is less well described. All these measures may be useful for prognostication in stroke, but there are multiple areas where more research is needed.

Prevalence and Risk Factors of Cognitive Frailty in Patients Undergoing Maintenance Hemodialysis: A Systematic Review and Meta-Analysis.

BACKGROUND: The purpose of this study is to investigate the prevalence and risk factor of cognitive frailty in patients undergoing maintenance hemodialysis. METHODS: Systematically searched PubMed, EmBase, Web of Science, Cochrane Library, SinoMed, China Knowledge Resource Integrated Database, Wanfang Database, and Weipu Database from inception until January 1, 2024. Two researchers were independently screened and cross-checked. Stata 15.1 software was used to perform the meta-analysis. RESULTS: A total of 15 articles were included, including 5398 patients. The results showed that the prevalence of cognitive frailty in patients undergoing maintenance hemodialysis was 24%. Among them, age (odds ratio [OR] = 1.33, 95% CI [1.16, 1.53]), waist circumference (OR = 1.05, 95% CI [1.03, 1.08]), malnutrition (OR = 2.91, 95% CI [1.94, 4.35]), comorbidities (OR = 1.93, 95% CI [1.47, 2.54]), stroke history (OR = 2.94, 95% CI [1.72, 5.03]), and depression (OR = 3.26, 95% CI [1.91, 5.57]) were the main risk factors for cognitive frailty in patients undergoing maintenance hemodialysis. Education level (OR = 0.48, 95% CI [0.31, 0.73]) was protective factors for cognitive frailty in patients undergoing maintenance hemodialysis. CONCLUSIONS: Current evidence showed that the prevalence of cognitive frailty in patients undergoing maintenance hemodialysis was high, and there were many risk factors. Therefore, early identification and intervention of cognitive frailty in maintenance hemodialysis patients should be carried out, which may be helpful to reduce the prevalence rate and occurrence of adverse events and improve the prognosis of patients.

Research Progress on Cognitive Frailty in Older Adults with Chronic Kidney Disease.

BACKGROUND: As the medical challenges posed by the ageing population become increasingly severe, the proportion of older people among patients with chronic kidney disease (CKD) is increasing every year. SUMMARY: The prevalence of frailty in patients with CKD is significantly higher than that in the general population, and older patients are also a high-risk group for frailty and cognitive impairment. Cognitive frailty, as an important subtype of frailty, is a syndrome characterised by cognitive dysfunction caused by physiological factors, excluding Alzheimer's disease and other types of dementia. It is characterised by the coexistence of physical frailty and cognitive impairment. Previous studies have mainly focused on cognitive impairment, and there is limited research on cognitive frailty, particularly in older patients with CKD. KEY MESSAGES: This article provides a comprehensive review of the concept, epidemiology, screening methods, prevention, and treatment measures and possible pathogenesis of cognitive frailty in patients with CKD.

Limited health literacy increases the likelihood of cognitive frailty among older adults.

BACKGROUND: Cognitive frailty is a dual geriatric syndrome that is preventable with lifestyle changes. Lifestyle changes are influenced by literacy level. However, the association between limited health literacy (HL) and cognitive frailty (CF) is yet to be discovered. OBJECTIVES: This study aims to determine the association between HL and CF among older adults. METHODS: Data was collected between April 2021 to March 2022 in this cross-sectional study. Citizens aged 60 years and older who can understand Malay and English were selected through purposive sampling from the AGELESS Trial screening sample frame. HLS-M-Q18 was administered to determine HL and CDR, and Fried's Criteria were used to assess the CF status. RESULTS: A total of 757 participants were included in the analysis. 68.2% of the total participants had a limited HL level. The prevalence of CF among older adults with limited HL was 48.2% as compared to those with adequate HL (28.2%) (p < 0.001). Based on the HLS-M-Q18 index scores, the robust group had a higher HL index score than those in the CF group: 36.1 (SD = 10.5) and 33.4 (SD = 8.6), respectively, p < 0.05. In binary logistic regression, limited HL, increasing age, lower income, lower education level and rural locality were associated with the increase of CF occurrence. Older adults with limited HL have 2.6 times higher odds of having CF. CONCLUSION: Approximately two-thirds of multiethnic older adults in the study had limited HL, with those with limited HL has 2.6 times higher odds of having CF. These findings emphasize the importance of addressing HL to improve their health outcomes and well-being.

Factors affecting cognitive frailty improvement and progression in Taiwanese older adults.

BACKGROUND: Knowledge of predictors of cognitive frailty (CF) trajectories is required to develop preventive strategies to delay or reverse the progression from CF to dementia and other adverse outcomes. This 2-year prospective study aimed to investigate factors affecting the progression and improvement of CF in older Taiwanese adults. METHODS: In total, 832 community-dwelling people aged ≥ 65 years were eligible. Fried's five frailty criteria were used to measure prefrailty and frailty, while cognitive performance was assessed by the Clinical Dementia Rating and Mini-Mental State Examination. Each component of reversible CF and potentially reversible CF was assigned a score, with a total score ranging 0 to 5 points. Two annual follow-up CF assessments were conducted. The group-based trajectory model was applied to identify latent CF trajectory groups, and a multinomial logistic regression was used to examine relationships of explanatory variables with CF trajectories. RESULTS: According to data on 482 subjects who completed the two annual follow-ups, three CF trajectories of robust, improvement, and progression were identified. After adjusting for the baseline CF state, CF progression was significantly associated with an older age (odds ratio [OR] = 1.08; 95% confidence interval [CI], 1.02 ~ 1.14), a lower Tinetti balance score (OR = 0.72; 95% CI, 0.54 ~ 0.96), a slower gait (OR = 0.98; 95% CI, 0.97 ~ 0.99), and four or more comorbidities (OR = 2.65; 95% CI, 1.19 ~ 5.90), while CF improvement was not significantly associated with any variable except the baseline CF state. In contrast, without adjusting for the baseline CF state, CF progression was significantly associated with an older age, female sex, balance scores, gait velocity, regular exercise, the number of comorbidities, and depression, while CF improvement was significantly associated with female sex, balance scores, and the number of comorbidities. CONCLUSIONS: The baseline CF state, an older age, poorer balance, slower gait, and a high number of comorbidities may contribute to CF progression, while the baseline CF state may account for associations of engaging in regular exercise and depression with CF development.

Synergistic effects of cognitive frailty and comorbidities on disability: a community-based longitudinal study.

OBJECTIVE: In this study, we aimed to assess the synergistic effects of cognitive frailty (CF) and comorbidity on disability among older adults. METHODS: Out of the 1318 participants from the Malaysian Towards Useful Aging (TUA) study, only 400 were included in the five-year follow-up analysis. A comprehensive interview-based questionnaire covering socio-demographic information, health status, biochemical indices, cognitive and physical function, and psychosocial factors was administered. Binary logistic regression analysis was employed to estimate the independent and combined odd ratios (ORs). Measures such as the relative excess risk due to interaction (RERI), the attributable proportion of risk due to the interaction, and the synergy index were used to assess the interaction between CF and comorbidity. RESULTS: Participants with CF (24.1%) were more likely to report disability compared to those without CF (10.3%). Synergistic effects impacting disability were observed between CF and osteoarthritis (OA) (OR: 6.675, 95% CI: 1.057-42.158; RERI: 1.501, 95% CI: 1.400-1.570), CF and heart diseases (HD) (OR: 3.480, 95% CI: 1.378-8.786; RERI: 0.875, 95% CI: 0.831-0.919), CF and depressive symptoms (OR: 3.443, 95% CI: 1.065-11.126; RERI: 0.806, 95% CI: 0.753-0.859), and between CF and diabetes mellitus (DM) (OR: 2.904, 95% Confidence Interval (CI): 1.487-5.671; RERI: 0.607, 95% CI: 0.577-0.637). CONCLUSION: These findings highlight the synergism between the co-existence of CF and comorbidity, including OA, HD, DM, and depressive symptoms, on disability in older adults. Screening, assessing, and managing comorbidities, especially OA, HD, DM and depressive symptoms, when managing older adults with CF are crucial for reducing the risk of or preventing the development of disability.

Association of preoperative cognitive frailty with postoperative complications in older patients under general anesthesia: a prospective cohort study.

BACKGROUND: Cognitive frailty (CF) is characterized by the coexistence of physical frailty and cognitive impairment, and it is associated with adverse health outcomes. Older adults are particularly vulnerable to CF due to factors such as age-related brain changes and the presence of comorbidities. OBJECTIVE: To investigate the effect of preoperative CF on postoperative complications in older patients. METHODS: This prospective cohort study was conducted among 253 patients aged 60-85 years, who underwent elective orthopedic and abdominal surgery (with a postoperative hospital stay of ≥ 3 days) at the Second Affiliated Hospital of Guangzhou University of Chinese Medicine from May 2023 to November 2023. CF was assessed using the Montreal Cognitive Assessment (MoCA) for the cognitive status and the Fried criteria for five frailty scales. Participants were split into four groups: Group A (neither frailty nor cognitive impairment), Group B (frailty without cognitive impairment), Group C (cognitive impairment without frailty), and Group D (cognitive frailty). The primary outcome was postoperative complications, while secondary outcomes included mobility disability, prolonged hospital stay (PLOS), re-operation and 90-day readmission. RESULTS: The median age (interquartile range) of participants was 69 (65-73) years, of which 40.3% were male. The prevalence of CF was 17.8%. The incidence of postoperative complications was 18.2% in Group A, 50.0% in Group B, 37.4% in Group C, and 75.6% in Group D. Multivariate analysis revealed that, compared to the control group (without cognitive impairment or frailty), patients with CF had a significantly higher risk of postoperative complications (OR, 12.86; 95%CI, 4.23-39.08). "Patients with frailty without cognitive impairment" had an increased risk (OR, 6.53; 95%CI, 2.04-20.9), while "those with cognitive impairment without frailty" also showed a higher risk (OR, 3.46; 95%CI, 1.57-7.64). CONCLUSIONS: Cognitive frailty is significantly associated with an increased risk of postoperative adverse outcomes in older patients undergoing orthopedic and abdominal surgeries with general anesthesia. It indicates that clinicians should pay much attention to these older adults with CF.

Cognitive frailty and its association with disability among Chinese community-dwelling older adults: a cross-sectional study.

BACKGROUND: There are a variety of determinants that are key to functional disability of older adults. However, little is known regarding the relationship between cognitive frailty and disability among older people. The aims of this study were to examine the associations between cognitive frailty and its six components with instrumental activities of daily living (IADL) functioning in community-dwelling older adults. METHODS: A total of 313 community-dwelling older adults (aged ≥ 65 years) were recruited from eight community centers in central China. Cognitive frailty was operationalized using the Mini-Mental State Examination for the evaluation of cognitive status and the Fried criteria for the evaluation of physical frailty. The outcome was functional disability assessed by the IADL scale. The association between cognitive frailty, as well as its components, and IADL limitations was identified by conducting binary logistic regression analysis. RESULTS: The prevalence of cognitive frailty was 8.9% in this study. The results showed that cognitive frailty (OR = 22.86) and frailty without cognitive impairment (OR = 8.15) were associated with IADL limitations. Subdimensions of cognitive frailty, exhaustion, weakness, low physical activity and cognitive impairment components were independently associated with IADL limitations. CONCLUSION: Cognitive frailty was associated with a higher prevalence of disability. Interventions for improving cognitive frailty should be developed to prevent IADL disability among community-dwelling older adults in China.

Effect of non-pharmacological interventions in people with cognitive frailty: a systematic review and network meta-analysis.

ABSRTACT: OBJECTIVE: To evaluate the effects of various non-pharmacological interventions on patients with cognitive impairment by systematic search and network meta-analysis, and to rank the effects of the included non-pharmacological interventions. METHODS: The databases of PubMed, Cochrane Library, EMbase, Web of Science, CNKI, VIP, WANFANG, and SinoMed were searched by computer. All randomized controlled trials (RCTs) of non-pharmacological interventions for people with cognitive frailty were collected. The search was conducted from 2000 to February 2024. Two reviewers independently screened the studies, extracted data, and assessed the risk of bias of the included studies, and then used Stata15 and R4.3.1 software to conduct network meta-analysis, with physical function and cognitive function as the main outcome indicators. RESULTS: A total of 19 randomized controlled trials involving 1738 patients were included. The results of network meta-analysis showed that among the non-pharmacological interventions, nutritional support had the best effect on improving frailty scores and cognitive function scores in patients with cognitive frailty. Aerobic training combined with resistance training is best for improving grip strength. For improving the patient's motor status, cognitive training had the best effect on improving TUG test scores. High-speed resistance training is best for improving walking speed. CONCLUSION: This review analyses the current study of non-pharmacological interventions to improve physical performance in patients with cognitive frailty. Current evidence suggests that nutritional support is most effective at improving physical frailty and cognitive decline in patients with cognitive frailty, and that exercise and cognitive training interventions significantly improve grip strength and motor ability. TRIAL REGISTRATION: This meta-analysis was prospectively registered with PROSPERO (registration number: CRD42023486881).

Effect of Baduanjin exercise on executive function in older adults with cognitive frailty: A randomized controlled trial.

OBJECTIVE: To investigate the effectiveness of Baduanjin exercise on executive function in community-dwelling older adults with cognitive frailty. DESIGN: Randomized controlled trial. SETTING: Community residential centers. SUBJECTS: 120 eligible older adults. INTERVENTIONS: Baduanjin training group received supervised Baduanjin training, 60 min sessions three times per week for 24 weeks. The control group did not receive any exercise intervention. MAIN MEASURES: Primary outcome was executive function, assessed using Clock Drawing Test. Secondary outcomes included the subcomponents of executive function (working memory, inhibitory control and cognitive flexibility), attention and cognitive frailty (global cognitive function, physical frailty) assessed using Verbal Fluency Test, Trail Making Test-A/B, Stroop Test, Montreal Cognitive Assessment and Edmonton Frailty Scale, respectively, at baseline and 24 weeks after intervention. RESULTS: After the 24-week intervention, the scores of Clock Drawing Test and Verbal Fluency Test, the Trail Making Test-B time and the Card correct numbers of Stroop Test in Baduanjin training group showed significant improvement compared with control group (all P < 0.05) with small to moderate effect sizes and the significant interaction effect of group by time in the Clock Drawing Test and Trail Making Test-B test (P = 0.003 and P = 0.043); cognitive frailty variables, including Montreal Cognitive Assessment and Edmonton Frail Scale scores, also showed significant improvement (P = 0.002 and P = 0.004) with a moderate effect sizes and a significant interaction effect (P < 0.001, P = 0.013). No adverse events were reported. CONCLUSION: Regular Baduanjin training may be an effective and safe intervention to improve cognitive frailty and executive function in community-dwelling older adults with cognitive frailty. TRIAL REGISTRATION: Chinese Clinical Trial Registry, ChiCTR2100050857. Data of registration: 8/5/2020, https://www.chictr.org.cn/showproj.html?proj = 133037.

Development and validation of prediction model for older adults with cognitive frailty.

OBJECTIVE: This study sought to develop and validate a 6-year risk prediction model in older adults with cognitive frailty (CF). METHODS: In the secondary analysis of Chinese Longitudinal Healthy Longevity Survey (CLHLS), participants from the 2011-2018 cohort were included to develop the prediction model. The CF was assessed by the Chinese version of Mini-Mental State Exam (CMMSE) and the modified Fried criteria. The stepwise regression was used to select predictors, and the logistic regression analysis was conducted to construct the model. The model was externally validated using the temporal validation method via the 2005-2011 cohort. The discrimination was measured by the area under the curve (AUC), and the calibration was measured by the calibration plot. A nomogram was conducted to vividly present the prediction model. RESULTS: The development dataset included 2420 participants aged 60 years or above, and 243 participants suffered from CF during a median follow-up period of 6.91 years (interquartile range 5.47-7.10 years). Six predictors, namely, age, sex, residence, body mass index (BMI), exercise, and physical disability, were finally used to develop the model. The model performed well with the AUC of 0.830 and 0.840 in the development and external validation datasets, respectively. CONCLUSION: The study could provide a practical tool to identify older adults with a high risk of CF early. Furthermore, targeting modifiable factors could prevent about half of the new-onset CF during a 6-year follow-up.

Effects of Virtual Reality Motor-Cognitive Training for Older People With Cognitive Frailty: Multicentered Randomized Controlled Trial.

BACKGROUND: Cognitive frailty refers to a clinical syndrome in which physical frailty and mild cognitive impairment coexist. Motor-cognitive training and virtual reality (VR) have been used to launch various therapeutic modalities to promote health in older people. The literature advocates that motor-cognitive training and VR are effective in promoting the cognitive and physical function of older people. However, the effects on older people with cognitive frailty are unclear. OBJECTIVE: This study examined the effects of VR motor-cognitive training (VRMCT) on global cognitive function, physical frailty, walking speed, visual short-term memory, inhibition of cognitive interference, and executive function in older people with cognitive frailty. METHODS: This study used a multicentered, assessor-blinded, 2-parallel-group randomized controlled trial design. Participants were recruited face-to-face in 8 older adult community centers. Eligible participants were aged ≥60 years, were community dwelling, lived with cognitive frailty, had no dementia, and were not mobility restricted. In the intervention group, participants received VRMCT led by interventionists with 16 one-hour training sessions delivered twice per week for 8 weeks. In the control group, participants received the usual care provided by the older adult community centers that the investigators did not interfere with. The primary outcome was global cognitive function. The secondary outcomes included physical frailty, walking speed, verbal short-term memory, inhibition of cognitive interference, and executive function. Data were collected at baseline (T0) and the week after the intervention (T1). Generalized estimating equations were used to examine the group, time, and interaction (time × group) effects on the outcomes. RESULTS: In total, 293 eligible participants enrolled in the study. The mean age of the participants was 74.5 (SD 6.8) years. Most participants were female (229/293, 78.2%), had completed primary education (152/293, 52.1%), were married (167/293, 57.2%), lived with friends (127/293, 43.3%), and had no VR experience (232/293, 79.5%). In the intervention group, 81.6% (119/146) of participants attended >80% (13/16, 81%) of the total number of sessions. A negligible number of participants experienced VR sickness symptoms (1/146, 0.7% to 5/146, 3%). VRMCT was effective in promoting global cognitive function (interaction effect: P=.03), marginally promoting executive function (interaction effect: P=.07), and reducing frailty (interaction effect: P=.03). The effects were not statistically significant on other outcomes. CONCLUSIONS: VRMCT is effective in promoting cognitive functions and reducing physical frailty and is well tolerated and accepted by older people with cognitive frailty, as evidenced by its high attendance rate and negligible VR sickness symptoms. Further studies should examine the efficacy of the intervention components (eg, VR vs non-VR or dual task vs single task) on health outcomes, the effect of using technology on intervention adherence, and the long-term effects of the intervention on older people with cognitive frailty at the level of daily living. TRIAL REGISTRATION: ClinicalTrials.gov NCT04730817; https://clinicaltrials.gov/study/NCT04730817.

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.

Associating factors of cognitive frailty among older people with chronic heart failure: Based on LASSO-logistic regression.

AIM: To analyse factors associated with cognitive frailty among older chronic heart failure patients in China. DESIGN: A cross-sectional design. METHODS: Between August 2021 and November 2022, a total of 421 chronic heart failure patients (age ≥60 years) were randomly selected from the cardiology department of the affiliated hospital of Zunyi Medical University. The FRAIL scale, Mini-Mental State Examination, 15-item Geriatric Depression Scale, Social Support Rating Scale, Short-form Mini Nutritional Assessment and Pittsburgh Sleep Quality Index were utilized for measurement and evaluation. The demographic and clinical characteristics of patients were collected. To select initial variables, the Least Absolute Shrinkage Selection Operator was applied, and then logistic regression analysis was used to confirm associating factors. RESULTS: Among 421 elderly people with chronic heart failure, 83 cases (19.7%) showed cognitive frailty. Of 31 variables, seven were selected by Least Absolute Shrinkage Selection Operator regression. Finally, multivariate logistic regression revealed that the age, monthly salary, drinking, NYHA classification, length of hospital stay, depression and malnutrition risk/malnutrition were independently associated with cognitive frailty. CONCLUSION: The high proportion of cognitive frailty in older people with chronic heart failure should be concerned. Additionally, in the setting of cognitive frailty, efforts to diagnose it and develop interventions to prevent or reverse cognitive frailty status among older chronic heart failure patients are necessary. IMPACT: The findings of our study highlight the necessity to evaluate cognitive frailty in older people with chronic heart failure and provide a new perspective and scientific basis for medical staff to develop individualized and specific interventions to prevent or reverse cognitive frailty status. REPORTING METHOD: This study has been reported in compliance with STROBE reporting guidelines for cross-sectional studies. PATIENT OR PUBLIC CONTRIBUTION: No Patient or Public Contribution.

Prevalence and influencing factors of cognitive frailty among Chinese older adults: A systematic review and meta-analysis.

AIMS: Cognitive frailty refers to the coexistence of physical frailty and cognitive impairment in older adults, without a concurrent diagnosis of Alzheimer's disease or other dementias. This review aims to evaluate the prevalence of CF subtypes and identify influencing factors among Chinese older adults. METHODS: The following databases were searched: PubMed/Medline, Embase, Cochrane Library, WOS, PsycINFO and CNKI et al (1 January 2001 to 20 October 2022). The risk of bias was assessed using the Agency for Healthcare Research and Quality Evidence-based Practice Center Methods Guide. Stata 17.0 software was used to pool the prevalence of cognitive frailty, and the pooled odds ratio and 95% CI of the influencing factors were calculated. RESULTS: The meta-analysis (56 studies and 80,320 participants) revealed the following prevalence rates: CF (18.9%), reversible CF (19.5%), potentially reversible CF (17.5%), CF in community-dwelling older adults (14.3%), CF in nursing homes (22.7%) and CF in older inpatients (25.2%). Influential factors identified included age, gender, education, nutrition, depression, exercise, sleep and comorbidity. CONCLUSIONS: The prevalence of CF among Chinese older adults is notably high, and it probably underestimates the prevalence of reversible cognitive frailty. It is crucial to encourage adherence to healthy behaviours, as it can effectively reduce and delay the onset of cognitive frailty.

Association between malnutrition and cognitive frailty in older adults: A systematic review and meta-analysis.

BACKGROUND: To systematically assess the association between cognitive frailty (CF) and malnutrition in older adults. METHODS: 8 databases were retrieved up until April 2023 by two reviewers in dependently, and meta-analysis was performed by Stata 16.0 software. RESULTS: A total of 19 studies were meta-analyzed to assess the relationship between CF and malnutrition in older adults. The pooled prevalence of CF from 17 studies was 23 %, and the pooled prevalence of malnutrition among patients with CF from 12 studies was 57 %. Data from 13 studies on the association between CF and malnutrition unveiled a high risk of CF in older adults with malnutrition (OR = 3.77, 95 % CI: 2.49-5.69). CONCLUSION: The prevalence of malnutrition is high in older adults with CF, and there is a significant delve into targeted treatment and preventive measures to ameliorate the quality of life of older adults.

The relationship between self-reported sensory decline and cognitive frailty in older persons.

This study aimed to explore the relationship between self-reported sensory decline, including poor hearing and vision, and cognitive frailty in older persons. This cross-sectional study analyzed data from the 2020 National Survey of Living Conditions and Welfare Needs of Older Koreans. Binomial logistic regression analysis was performed to analyze the relationship between self-reported sensory decline and cognitive frailty. Of 9,692 participants, 39.8 % experienced sensory decline. The prevalence of cognitive frailty was 15.7 % among participants with poor hearing, 6.9 % among those with poor vision, and 17.9 % among those with combined poor hearing and vision. In our model, adjusted for sociodemographic and health-related variables, the cognitive frailty was significantly associated with poor hearing alone and combined poor hearing and vision. The findings suggest that healthcare professionals should prioritize their attention to the risk of cognitive frailty in older adults experiencing poor hearing alone and combined with poor vision.

Prediction models for cognitive frailty in community-dwelling older adults: A scoping review.

OBJECTIVES: This review investigates the current status of cognitive frailty risk prediction models for community-dwelling older adults, aiming to explore the shortcomings and provide insights for model optimisation. METHODS: We adhered to the PRISMA guidelines for scoping review and followed the Joanna Briggs Institute Manual for Evidence Synthesis. RESULTS: This article includes a total of 10 studies, revealing a prevalence of cognitive frailty ranging from 4.8 % to 39.6 %. The methods used for model construction included both logistic regression and machine learning. The predictors varied across the models, with age, education level, gender, and physical activity level being the most frequently cited factors. CONCLUSIONS: While most models showed good applicability, all models displayed a high risk of bias. Future endeavors should concentrate on leveraging existing tools to ensure standardization in development and conducting rigorous evaluations of prediction models for cognitive frailty in community-dwelling older adults.