Prevalence Of Cognitive Frailty Research Articles

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

BackgroundTo systematically assess the association between cognitive frailty (CF) and malnutrition in older adults. Methods8 databases were retrieved up until April 2023 by two reviewers in dependently, and meta-analysis was performed by Stata 16.0 software. ResultsA 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). ConclusionThe 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.

Prevalence of cognitive frailty and its associated factors in a population of Iranian older adults

BackgroundIn recent years cognitive frailty has emerged as an important predictor of adverse health outcomes in older adults. Herein, we aimed to investigate the prevalence and associated factors of cognitive frailty in a population of community-dwelling older adults in Iran.MethodThis cross-sectional study was conducted as part of the second cycle of the Amirkola Health and Aging Project (AHAP). Physical frailty and cognitive impairment were evaluated using the FRAIL questionnaire and the mini-mental state examination (MMSE) respectively. Cognitive frailty was defined as co-existence of frailty and cognitive impairment without presence of dementia. Depression and disability were assessed using the Persian version of geriatric depression scale (GDS) and instrumental activities of daily living (IADL) questionnaire.ResultsOverall 1775 individuals (47.1% female) with mean age of 69.7 ± 7.3 years were included in the final analysis. The prevalence of cognitive frailty was 12.0%. The prevalence of cognitive frailty among males and females was 4.3% and 20.7%, respectively. After adjusting for all possible confounders through binary logistic regression analysis, factors such as older age (OR 1.06, CI 1.03–1.09), female gender (OR 2.25, CI 1.42–3.57), illiteracy (OR 3.84, CI 2.03–8.29), more comorbidities (OR 1.21, CI 1.12–1.31), depression (OR 2.01, CI 1.40–2.86), and greater IADL disability (OR 1.68, CI 1.44–3.96), were independently and significantly associated with cognitive frailty.ConclusionIn this population of Iranian older adults, prevalence of cognitive frailty was consistent with its estimated mean global prevalence. Age, gender, illiteracy, comorbidities, depression and IADL disability were associated with cognitive frailty. Further research is required to develop screening tools and prevention strategies.

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

This study aimed to construct a nomogram for predicting the risk of cognitive frailty in patients on maintenance haemodialysis. An explorative cross-sectional design was adopted. 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. 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. 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. 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. Data were collected from patients on maintenance haemodialysis by using questionnaire survey. STROBE checklist was used.

Risk factors and a nomogram for predicting cognitive frailty in Chinese patients with lung cancer receiving drug therapy: A single-center cross-sectional study.

To identify independent factors of cognitive frailty (CF) and construct a nomogram to predict cognitive frailty risk in patients with lung cancer receiving drug therapy. In this cross-sectional study, patients with lung cancer undergoing drug therapy from October 2022 to July 2023 were enrolled. The data collected includes general demographic characteristics, clinical data characteristics and assessment of tools for cognitive frailty and other factors. Logistic regression was harnessed to determine the influencing factors, R software was used to establish a nomogram model to predict the risk of cognitive frailty. The enhanced bootstrap method was employed for internal verification of the model. The performance of the nomogram was evaluated by using calibration curves, the area under the receiver operating characteristic curve, and decision curve analysis. A total of 372 patients were recruited, with a cognitive frailty prevalence of 56.2%. Age, education background, diabetes mellitus, insomnia, sarcopenia, and nutrition status were identified as independent factors. Then, a nomogram model was constructed and patients were classified into high- and low-risk groups with a cutoff value of 0.552. The internal validation results revealed good concordance, calibration and discrimination. The decision curve analysis presented prominent clinical utility. The prevalence of cognitive frailty was higher in lung cancer patients receiving drug therapy. The nomogram could identify the risk of cognitive frailty intuitively and simply in patients with lung cancer, so as to provide references for early screening and intervention for cognitive frailty at the early phases of drug treatment.

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

BackgroundThere 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.MethodsA 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.ResultsThe 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.ConclusionCognitive 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.

Risk factors of cognitive frailty in elderly chronic obstructive pulmonary disease patients and its implication for death: acohort study.

Cognitive frailty, a clinical syndrome with physical frailty and cognitive impairment, leads to mortality and other adverse health outcomes in older adults. This study aimed to investigate the prevalence of cognitive frailty, and its influencing factors, and follow its impact on short-term mortality in elderly chronic obstructive pulmonary disease patients, to provide a theoretical scientific reference basis for clinical intervention and management of cognitive frailty. A sample of 243 elderly chronic obstructive pulmonary disease patients in the respiratory department of a tertiary care hospital was conveniently sampled from November 2021 to February 2023, and the prevalence of cognitive frailty was investigated using the General Information Survey Scale, the Fried Phenotype Scale, the Mini-Mental State Examination, the Anxiety Self-Rating Scale, the Brief Geriatric Depression Scale, and the Mortality Record. The mortality was recorded by telephone follow-up after 6 months. A database was created and statistical analysis such as one-way analysis of variance, logistic regression analysis, Kaplan-Meier, and Cox survival analysis were used to analyze the data. A total of 47 patients (19.3%) had cognitive frailty; there were statistical differences in the prevalence of cognitive frailty by medical payment type, physical exercise, and sleeping time (P < 0.05). During a 6-month follow-up, 38 patients (15.6%) died. Cox survival analysis showed that the risk of death in elderly chronic obstructive pulmonary disease patients in the cognitive frailty group was 3.212 times higher than that in the normal cognitive function and non-frailty group (95% CI 1.646-6.270, P = 0.001), and 5.266 times higher than that in the normal cognitive function and frailty group (95% CI 3.159-8.778, P < 0.001). The prevalence of cognitive frailty in elderly chronic obstructive pulmonary disease patients is high, and clinical staff should pay attention to patients' medical burden and financial ability, and reduce the incidence of cognitive frailty by instructing patients to perform physical exercise and arrange sleep time. Cognitive frailty is an important risk factor for mortality within 6 months in elderly chronic obstructive pulmonary disease patients, and early intervention should be emphasised to reduce or delay cognitive frailty and mortality.

COGNITIVE FRAILTY: PREVALENCE, RISK FACTORS, AND THE RISK OF MORTALITY IN CHINESE MIDDLE-AGED AND OLDER ADULTS

Abstract To examine the age-specific prevalence, risk factors, and magnitude of the association between cognitive frailty and all-cause mortality in Chinese middle-aged and older adults. We used baseline (2011) and follow-up waves (2013, 2015, and 2018) data from the China Health and Retirement Longitudinal Study (CHARLS). The age group was categorized as middle-aged, old, and very old. Factors associated with cognitive frailty and the associations between cognitive frailty statuses and mortality were examined using multinomial logistic regression and Cox proportional hazards models, respectively. Totally 7947 participants were included in this study, and the overall prevalence of cognitive frailty was 12% (middle-aged, 11%; old, 10%; very old, 26%; P&amp;lt; 0.0001). Cognitive frailty was independently associated with rural residential status, long sleep duration, lack of social participation, depressive symptoms, and multimorbidity among all the age groups. Over the 7-year follow-up, participants with cognitive frailty were at a higher risk for all-cause mortality than the robust group (HR 1.70, 95%CI 1.12-2.57 for the middle-aged group, HR 1.70, 95%CI 1.02-2.84 for the old group, and HR 2.06, 95%CI 1.17-3.65 for the very old group). Pre-cognitive frailty was associated with a higher mortality risk in the middle-aged group only (HR 1.34, 95%CI 1.01-1.79). The prevalence of cognitive frailty in middle-aged adults was comparable with that in the old group. Cognitive frailty, a significant risk factor for mortality, was associated with multiple factors in middle-aged and older adults, calling for integrated cognitive frailty prevention strategies. Noticeably, pre-cognitive frailty in middle-aged people increases mortality risk and requires special attention.

Clinical Manifestations.

Cognitive frailty (CF) has been defined as the simultaneous presence of physical frailty (PF) and subjective or objective cognitive impairment, with current definitions differentiating, respectively, between reversible and potentially reversible CF. The former is indicated by subjective cognitive decline (SCD) and the latter by Mild Cognitive Impairment (MCI). Although CF is an emerging topic in the study of cognitive ageing, its relationship with cognitive reserve (CR) proxies have not been established. The prevalence of CF and the characterization of the sample in terms of its level of CR was studied in the second cohort of the Compostela Ageing Study (CompAS). 150 participants of the second follow-up of this cohort who completed the PF assessment were studied. The frailty phenotype was used to operationalize the level of PF of the participants. Weakness was measured by 3 measurements of the grip strength (GS) in the dominant hand. Slow gait speed was measured through a timed-up and go (TUG) task. Low physical activity was measured with the Spanish version of the Minnesota Physical Activity Questionnaire (VREM). MCI and SCD were diagnosed using the current criteria. The level of CR was established using the scores of the Cognitive Reserve Index questionnaire (CRIq). Bivariate correlations were made between CRIq subscales scores and the results in GS, TUG and VREM. A higher percentage of high CR was observed in participants without frailty, and a higher percentage of participants with medium level of CR showed pre-frailty (c2 = 27,96 p<.05). Significant moderate correlations were obtained between GS and CRI-q working activity (r = .47), and between TUG and CRI-q leisure time (r = -.35). As expected for a risk factor for dementia, there were significant relationships between CF and several domains of CR. Future longitudinal analysis should analyze the capacity of the CR to attenuate or delay the onset of cognitive frailty.

Cognitive Frailty among Older Adults in Rural Areas: Prevalence and Risk Factors.

Cognitive frailty (CF), which is a combination of physical frailty and cognitive impairment, has been associated with functional deterioration in the elderly. However, information about the prevalence of CF and associated factors among Saudi older adults is lacking. To assess the prevalence of CF and its associated factors in Saudi community-dwelling older adults. Cross-sectional. Community-based. Thise study included community-dwelling elderly adults aged 60 years and over living in the Riyadh region. This study took place from August 2019 to June 2020. CF was defined as the co-existence of physical frailty and mild cognitive impairment (MCI) without dementia. The association between sociodemographic and clinical factors and CF was estimated using the relative risk ratio and confidence intervals (RRR; CIs 95%) using a multivariable binary logistic regression. Fried's frailty phenotype index; and the Mini-Mental State Examination. A total of 421 community-dwelling older adults (63% male; mean [SD] age 70 [7.1] years). The overall prevalence of CF was 6.1%. The following factors were associated with CF: age (RRR 16.3; 95% CI 4.91-54.4), being single (RRR = 3.76 95% CI 1.70-8.31), and number of chronic conditions (RRR 3.1; 95% CI 1.74-5.49). This study indicated the high prevalence of CF among Saudi community-dwelling older individuals compared to other populations. Screening for early diagnosis should be incorporated during examination for older adults. The cross-sectional design limits the causality inference with associated risk factors.

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

ObjectiveThis study aimed to investigate the prevalence of cognitive frailty among older adults in China.DesignSystematic review and meta-analysis.MethodsWe searched the Cochrane Library, PubMed, Web of Science, Embase, China National Knowledge...

Association between cognitive frailty and falls among older community dwellers in China: A Chinese longitudinal healthy longevity survey-based study.

The combined effect of cognitive impairment (CoI) and frailty on falls is controversial. This study aimed to explore whether older adults with cognitive frailty (CF) were at a higher risk of falls than those with only CoI or frailty and to present a fall prediction model based on CF. A total of 4,067 adults aged ≥ 60 years were included from the Chinese Longitudinal Healthy Longevity Survey through face-to-face interviews. Cognitive function and frailty were assessed using the mini-mental state examination scale and frailty index, respectively. Logistic regression was used to determine fall-associated risk factors and develop a fall prediction model. A nomogram was then plotted. The model performance was evaluated using the area under the curve (AUC), concordance index (C-index), and calibration curve. All analyses were performed using SPSS and R statistical packages. The prevalence of CF and falls were 1.4 and 19.4%, respectively. After adjusting for covariates, the odds ratio of CF, frailty only, and CoI only for falls were 2.27 (95% CI: 1.29-3.97), 1.41 (95% CI: 1.16-1.73), and 0.99 (95% CI: 0.43-2.29), respectively. CF, sex, age, hearing difficulty, depression, anxiety, disability in instrumental activities of daily living, and serious illness in the past 2 years were independently associated with falls. A prediction model based on these factors yielded an AUC of 0.646 and a C-index of 0.641. Cognitive frailty (CF) exerted a cumulative effect on falls than did CoI or frailty alone. Joint assessments of cognitive function and frailty status may be beneficial for fall risk screening in community. A prediction model using CF as a factor could be helpful for this process.

Institutional Residence Protects Against Cognitive Frailty: A Cross-Sectional Study.

Based on the complex aging background, more and more older people have to live in an institution in later life in China. The prevalence of cognitive frailty (CF) is more higher in institutions than in communities. Rarely studies were conducted on the relationship between institutional residence and CF. Hence, this study were performed to determine the relationship between institutional residence (living in a nursing home) and CF in older adults. A total of 1004 older community residents and 111 older nursing home residents over 50 years of age from Hefei, Anhui Province, China were recruited. CF included physical frailty (PF) and mild cognitive impairment (MCI). PF was assessed using the Chinese version of the Fried frailty scale, MCI was assessed using the Montreal Cognitive Assessment, and the common associated factors including sedentary behavior, exercise, intellectual activity, comorbidity, medication, chronic pain, sleep disorders, nutritional status and loneliness were analyzed using regression logistic models. Multivariate regression logistic analysis showed that exercise (P = .019, odds ratio [OR] = 0.494, 95% confidence interval [CI]: 0.274-0.891), intellectual activity (P = .019, OR = 0.595, 95% CI: 0.380-0.932), medication use (P = .003, OR = 2.388, 95% CI: 1.339-4.258), chronic pain (P = .003, OR = 1.580, 95% CI: 1.013-2.465) and loneliness (P = .000, OR = 2.991, 95% CI: 1.728-5.175) were significantly associated with CF in community residents; however, only sedentary behavior (P = .013, OR = 3.851, 95% CI: 1.328-11.170) was significantly associated with CF in nursing home residents. Our findings suggest that nursing homes can effectively address many common risk factors for CF, including lack of exercise and intellectual activity, medication use, chronic pain, and loneliness, better than the community setting. Thus, residing in a nursing home is conducive to the intervention of CF.

Transition rules of cognitive frailty and influencing factors in the elderly in China

Objective: To understand the transition rules of cognitive frailty and its influencing factors in the elderly in China and provide evidence for the early intervention of cognitive frailty. Methods: Data were retrospectively collected from China Health and Retirement Longitudinal Study with 3 round consecutive survey (2011, 2013, 2015) and the state of the subjects were classified into four categories: robust-normal cognitive, cognitive impairment, physical frailty, and cognitive frailty. A multi-state Markov model was established to explore the transition rules of cognitive frailty and its influencing factors. Results: A total of 3 470 older adults were included, and 350 (10.09%) had cognitive frailty at baseline. After two years, the probability of cognitive frailty in the cognitive impairment population was higher than that in people with physical frailty (31.6% vs. 7.6%). Persons with cognitive frailty were more likely to become physical frailty (29.7% vs. 15.6%). Being women (HR=1.599, 95%CI: 1.058-2.417), comorbidity (HR=3.035, 95%CI: 1.090-8.450), and depression (HR=1.678, 95%CI: 1.153-2.441) were the risk factors associated with cognitive frailty in the elderly, while being educated (HR=2.367, 95%CI: 1.567-3.575) was a protective factor for the transition of cognitive frailty to physical frailty. Conclusions: The prevalence of cognitive frailty is relatively high in the elderly in China. Those with cognitive impairment have a higher probability of cognitive frailty. Gender, education level, comorbidity, and depression are the main influencing factors for the occurrence and transition of cognitive frailty.

Comparison of the prevalence and associated factors of cognitive frailty between elderly and middle-young patients receiving maintenance hemodialysis

PurposeThis study aimed at comparing the prevalence of cognitive frailty and explore the differences in the influencing factors between elderly and middle-young patients receiving maintenance hemodialysis (MHD).MethodsIn this cross-sectional study, the frailty phenotype, mini-mental state examination, and clinical dementia rating were used to assess the current status of cognitive frailty in 852 patients receiving MHD from four hospitals in Lianyungang City and Xuzhou City, Jiangsu Province, China; the influencing factors were then analyzed for statistical significance.ResultsOf the total 852 patients receiving MHD, 340 were classified into an elderly group (≥ 60 years) and 512 into a middle-young group (< 60 years). The prevalence of cognitive frailty was 35.9% and 8.8%, respectively. The results of multivariate logistic regression analysis showed that the independent factors of cognitive frailty were age (P < 0.001), education level (P = 0.010), nutritional status (P = 0.001), serum albumin level (P = 0.010), calf circumference (P = 0.024), and social support level (P < 0.001) in the elderly group and comorbidity status (P = 0.037), education level (P < 0.001), nutritional status (P = 0.008), serum creatinine level (P = 0.001), waist circumference (P < 0.001), and depression (P = 0.006) in the middle-young group.ConclusionThe prevalence of cognitive frailty was significantly higher in the elderly group than in the middle-young group, and the influencing factors differed between the two populations.

Author's response to “Comment on Qiu et al. (2022) ‘Prevalence of cognitive frailty among community-dwelling older adults: A systematic review and meta-analysis’’’

Author's response to “Comment on Qiu et al. (2022) ‘Prevalence of cognitive frailty among community-dwelling older adults: A systematic review and meta-analysis’’’

Association between cognitive frailty and higher-level competence among community-dwelling older adults

ObjectivesThe purpose of this cross-sectional study was to examine the association between cognitive frailty (CF) and higher-level competence among community-dwelling older adults. MethodsData from 871 older adults (aged ≥ 65 years, mean age 74.3 years, 61.5% women) who had participated in a community-based health check survey (Tarumizu Study 2018-2019) were analyzed. CF was defined as comorbid physical frailty and mild cognitive impairment (MCI). We defined physical frailty as either slow walking speed or poor grip strength. MCI was defined as values below the age- and education-adjusted reference threshold in several tests. Participants were categorized into four groups: robust, physical frailty, MCI, and CF. Higher-level competence was assessed using the Japan Science and Technology Agency Index of Competence (JST-IC). The JST-IC consists of 16 items and four subscales (technology usage, information practice, life management and social engagement). The bottom 20–30% score of the JST-IC and each subscale corresponded to poor higher-level competence. ResultsThe prevalence of CF was 14.4%. Multivariate logistic regression analysis showed that, CF was significantly associated with poor higher-level competence (odds ratio 1.92, 95% confidence interval 1.18–3.13) after adjusting for covariates. Using a similar analysis to assess the JST-IC subscales, CF was associated with limitations on technology usage (odds ratio 2.29, 95% confidence interval 1.36–3.85) and low social engagement (odds ratio 1.62, 95% confidence interval 1.00–2.61). ConclusionsThis study suggests that CF is associated with poor higher-level competence, especially limitations on technology usage and low social engagement.

Cognitive Frailty in Thai Community-Dwelling Elderly: Prevalence and Its Association with Malnutrition.

Cognitive frailty (CF) is defined by the coexistence of physical frailty and mild cognitive impairment. Malnutrition is an underlying factor of age-related conditions including physical frailty. However, the evidence associating malnutrition and cognitive frailty is limited. This cross-sectional study aimed to determine the association between malnutrition and CF in the elderly. A total of 373 participants aged 65–84 years were enrolled after excluding those who were suspected to have dementia and depression. Then, 61 CF and 45 normal participants were randomly selected to measure serum prealbumin level. Cognitive function was assessed using the Montreal Cognitive Assessment-Basic (MoCA-B). Modified Fried’s criteria were used to define physical frailty. Nutritional status was evaluated by the Mini Nutritional Assessment–short form (MNA-SF), serum prealbumin, and anthropometric measurements. The prevalence of CF was 28.72%. Malnourished status by MNA-SF category (aOR = 2.81, 95%CI: 1.18–6.67) and MNA-SF score (aOR = 0.84, 95%CI = 0.74–0.94) were independently associated with CF. However, there was no correlation between CF and malnutrition assessed by serum prealbumin level and anthropometric measurements. Other independent risk factors of CF were advanced age (aOR = 1.06, 95%CI: 1.02–1.11) and educational level below high school (aOR = 6.77, 95%CI: 1.99–23.01). Malnutrition was associated with CF among Thai elderly. High-risk groups who are old and poorly educated should receive early screening and nutritional interventions.

Long sleep duration is associated with cognitive frailty among older community-dwelling adults: results from West China Health and Aging Trend study

ObjectiveTo investigate the association between sleep duration and cognitive frailty among older adults dwelling in western China.MethodsWe used the baseline data from West China Health and Aging Trend (WCHAT) study. Sleep duration was classified as short sleep duration (< 6 h), normal sleep duration (6–8 h) and long sleep duration (≥ 9 h). Fried frailty criteria and Short Portable Mental Status Questionnaire were used to measure cognitive frailty. Multinomial logistic regression was conducted to estimate odds ratio (OR) and 95% confidence interval (CI).ResultsA total of 4093 older adults (age = 67.8 ± 5.9 years, 1708 males and 2385 females) were included in the analysis. The prevalence of cognitive frailty was 11.8% among older adults in western China. Approximately 11.9% participants had short sleep duration (< 6 h); 22.2% had a long sleep duration (≥ 9 h). After adjusting for covariates, only long sleep duration was significantly associated with high risk of cognitive frailty (OR = 2.07, 95%CI = 1.60–2.68, P < 0.001) in western China older adults compared to normal sleep duration.ConclusionsLong sleep duration was significantly related to cognitive frailty in older adults. Intervention for long sleep duration may be helpful to prevent cognitive frailty.Trial registrationChinese Clinical Trial Registry: ChiCTR1800018895.

Prevalence and Risk Factors for Cognitive Frailty in Aging Hypertensive Patients in China.

Hypertension is one of the most common chronic diseases and a major risk factor for stroke, myocardial infarction and cardiovascular death. Cognitive frailty is an important predictor of all-cause mortality and dementia in aging individuals. Hypertension is closely related to cognitive frailty and these two conditions often coexist in aging individuals. Few studies have explored the relationship between hypertension and cognitive frailty in the Chinese population. This study investigates the epidemiological characteristics of and factors related to cognitive frailty in aging Chinese patients with hypertension. In total, cognitive function, weakness, social support, depression and sociodemographic were assessed in 305 participants aged 60 and over. Univariate and multivariate logistic regression models were constructed. The prevalence of cognitive frailty in aging Chinese hypertensive patients was 9.8% (95% CI = 6.4–13.2%). After adjusting for confounding variables, logistic regression showed that the course of hypertension (6–10 years, OR = 8.588, 95% CI = 1.608–45.859;course of more than 10 years, OR = 9.020, 95%CI = 1.854–43.892), multimorbidity (OR = 11.231, 95% CI = 2.912–43.322), depression (OR = 6.917, 95% CI = 2.424–19.738) and social support (OR = 0.187, 95% CI = 0.071–0.492) were independently associated with cognitive frailty. The prevalence of cognitive frailty in aging patients with hypertension in China should not be ignored. The course of hypertension, multimorbidity and depression are the risk factors of cognitive frailty in the aging population and a better level of social support is the protective factor for cognitive frailty.

Cognitive frailty predicting death and disability in Chinese elderly

ABSTRACT Objective: Although multiple sclerosis (MS) is known to be an immune-mediated disease, very little is known about its etiopathogenesis. MicroRNAs (miRNAs) are small non-coding proteins involved in the regulation of gene expression. T-cell activation potential in neurodegenerative diseases has been a research topic of interest in recent years Cytokines play an important role in the course and pathogenesis of MS, The aim of the present study was to analyze expression levels of miR-20, miR-21, miR-26, miR-155, and Let-7, which target the cytokines interleukin IL-17 and IL-23, in order to evaluate the relationship between MS and miRNAs that modulate the expression of cytokines involved in the autoimmune pathway. Methods:The study included 20 relapsing-remitting multiple sclerosis (MS) patients who were at least 18 years of age and were undergoing outpatient immunomodulatory therapy and 20 healthy, unrelated individuals who had no systemic disease and were not taking any medication as a control group. Peripheral blood samples were collected from all participants into EDTA-containing tubes and plasma was isolated for cDNA synthesis . From these cDNA samples, miRNA expression levels were quantitatively analyzed via melting curve analysis using the miScript SYBR Green kit in real-time PCR device. Results: Comparison of miRNA expression levels in the peripheral blood samples and MS patients and healthy subjects revealed that the MS patients had significant upregulation of miR-20 and downregulation of miR-26 and miR-155 compared to the control group (p<0.005). Conclusions:Dysregulation of miRNA expression may play a role in the pathogenesis of MS.