Risk Factors of Progression to Frailty: Findings from the Singapore Longitudinal Ageing Study

Post-discharge nutritional management for patients with coronary heart disease and frailty: a qualitative study

BACKGROUND

Frail elderly patients experience physiological function and reserve depletion, leading to imbalances in their internal environment, which increases the risk of coronary heart disease recurrence and malnutrition. However, the majority of these patients, who primarily have a low level of education and lack self-management skills, face difficulties actively dealing with obstacles during the transition period after their discharge from hospitalization. Therefore, it is necessary to understand and discuss in depth the nutrition management experience of discharged elderly patients with coronary heart disease and frailty (ages 65-80 years old) and to analyze the promoting and hindering factors that affect scientific diet behavior during the discharge transition period.

METHODS

Fifteen elderly patients with coronary heart disease and frailty who had been discharged from the hospital for 6 months were interviewed using a semistructured method. The directed content analysis approach to descriptive research was used to extract topics from the interview content.

RESULTS

All participants discussed the problems in health nutrition management experience of discharged. Five topics and ten subtopics were extracted, such as ①Weak perceptions and behaviors towards healthy eating (personal habit solidification, negative attitudes towards nutrition management), ②Lack of objective factors for independently adjusting dietary conditions (reliance on subjective feelings, times of appetite change), ③Personal hindrance factors (memory impairment, deficiencies in self-nutrition management), ④Expected external support (assistance care support, ways to obtain nutritional information), ⑤Lack of continuous nutrition management (interruption of professional guidance, avoidance of medical treatment behavior).

CONCLUSIONS

Nutrition management after discharge places a burden on elderly patients with coronary heart disease and frailty. According to the patients' physical conditions, we should develop a diet support system that is coordinated by individuals, families and society.

Nomogram model for predicting frailty of patients with hematologic malignancies - A cross-sectional survey

Objective

This study aimed to develop and validate an assessment tool for predicting and mitigating the risk of frailty in patients diagnosed with hematologic malignancies.

Methods

A total of 342 patients with hematologic malignancies participated in this study, providing data on various demographics, disease-related information, daily activities, nutritional status, psychological well-being, frailty assessments, and laboratory indicators. The participants were randomly divided into training and validation groups at a 7:3 ratio. We employed Lasso regression analysis and cross-validation techniques to identify predictive factors. Subsequently, a nomogram prediction model was developed using multivariable logistic regression analysis. Discrimination ability, accuracy, and clinical utility were assessed through receiver operating characteristic (ROC) curves, C-index, calibration curves, and decision curve analysis (DCA).

Results

Seven predictors, namely disease duration of 6-12 months, disease duration exceeding 12 months, Charlson Comorbidity Index (CCI), prealbumin levels, hemoglobin levels, Generalized Anxiety Disorder-7 (GAD-7) scores, and Patient Health Questionnaire-9 (PHQ-9) scores, were identified as influential factors for frailty through Lasso regression analysis. The area under the ROC curve was 0.893 for the training set and 0.891 for the validation set. The Hosmer-Lemeshow goodness-of-fit test confirmed a good model fit. The C-index values for the training and validation sets were 0.889 and 0.811, respectively. The DCA curve illustrated a higher net benefit when using the nomogram prediction model within patients threshold probabilities ranging from 10% to 98%.

Conclusions

This study has successfully developed and validated an effective nomogram model for predicting frailty in patients diagnosed with hematologic malignancies. The model incorporates disease duration (6-12 months and>12 months), CCI, prealbumin and hemoglobin levels, GAD-7, and PHQ-9 scores as predictive variables.

Prevalence and associated factors of cognitive frailty in community-dwelling older adults: Results from the Korean longitudinal study of aging

BACKGROUND

Cognitive frailty, a condition characterized by physical frailty with cognitive impairment, is emerging as a determinant of adverse health outcomes in older adults. However, its prevalence and correlation with associated factors are unknown in the aging population of Korea.

OBJECTIVES

To estimate the prevalence of cognitive frailty and identify factors associated with it among older Korean adults.

METHODS

A secondary analysis was performed using the Korean Longitudinal Study of Aging seventh survey dataset collected in 2018. Multinomial logistic regression analyses were conducted to examine the association between cognitive frailty and demographic, psychosocial, oral health and physical function factors. Individuals aged ≥65 years and without dementia were included (N = 1024). Participants were classified into four groups based on the presence or absence of physical frailty and mild cognitive impairment. This article is executed in accordance with the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement.

RESULTS

The prevalence of cognitive frailty in the study sample was 11.2%. The results of multinomial logistic regression showed that advanced age, being female, lower education levels, heart disease, arthritis or rheumatoid arthritis, underweight, depression, non-social activity, poor oral health and functional limitation were significantly associated with cognitive frailty.

CONCLUSIONS

Cognitive frailty is prevalent among community-dwelling older adults in Korea. The findings provide primary care providers with insights about effective strategies for identifying at-risk individuals and will guide the development of population-level interventions to prevent or delay the onset of physical frailty and cognitive impairment in older adults.

IMPLICATIONS FOR PRACTICE

The findings provide practical information to healthcare providers for identifying cognitive frailty in older adults. The risk factors of cognitive frailty, such as psychosocial, oral health, and physical function factors, should be thoroughly monitored for older adults. Health personnel working in primary care have a critical role in identifying risk and beneficial factors and promoting preventative strategies that enhance health outcomes.

Prevalence and influencing factors of frailty in older patients with diabetes in China: a system review and meta-analysis

Background and aims

To systematically evaluate the relevant literature to explore the prevalence and influencing factors of frailty in older patients with diabetes in China.

Methods

Cochrane Library, PubMed, Embase, Medline, CINAHL, Scopus, Proquest Central, Web of Science, SinoMed, CNKI, VIP and Wan fang Databases were searched to collect Chinese and English literatures about frailty in older diabetic patients. RevMan 5.4 software was used to extract data for systematic review.

Results

Seventeen studies involving 23,070 older patients with diabetes were included. The results showed that the prevalence of frailty in older Chinese diabetic patients was 30%. The main influencing factors were HbA1c level, number of complications, age, depression, exercise, and nutritional status.

Conclusion

The prevalence of frailty in Chinese elderly diabetic patients is high and there are many influencing factors. However, the quality of relevant literature is general and the number is limited, so high-quality prospective studies should be carried out in the future to further verify the conclusions.

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.

Longitudinal association of lung function with frailty among older adults: the English Longitudinal Study of Ageing

PURPOSE

To investigate the effect of baseline lung function on the trajectory of frailty over time.

METHODS

This longitudinal study included 3,658 adults aged 60 and over (average age 70.4 years old and 46.4% males) at baseline from the English Longitudinal Study of Ageing. Lung function indicators included forced vital capacity (FVC) and forced expiratory volume in the first second (FEV1), both measured at baseline examination. Frailty was defined based on Fried's frailty phenotype criteria, the measurement was repeated for four times. Linear mixed-effect regression model was applied to estimate the association of baseline lung function with the trajectory of frailty over time.

RESULTS

Frailty score increased significantly over time (β = 0.030, P < 0.001). Linear mixed-effect regression model identified significant interactions between FVC (β =- 0.018, P < 0.001) or FEV1 (β =- 0.022, P < 0.001) and time on frailty.

CONCLUSION

Poor baseline lung function might accelerate the speed of frailty. Lung function might be an important predictor of the development and progression of frailty among older adults.

Systematic review and meta-analysis of prevalence, trajectories, and clinical outcomes for frailty in COPD

This systematic review synthesised measurement and prevalence of frailty in COPD and associations between frailty and adverse health outcomes. We searched Medline, Embase and Web of Science (1 January 2001-8 September 2021) for observational studies in adults with COPD assessing frailty prevalence, trajectories, or association with health-related outcomes. We performed narrative synthesis and random-effects meta-analyses. We found 53 eligible studies using 11 different frailty measures. Most common were frailty phenotype (n = 32), frailty index (n = 5) and Kihon checklist (n = 4). Prevalence estimates varied by frailty definitions, setting, and age (2.6-80.9%). Frailty was associated with mortality (5/7 studies), COPD exacerbation (7/11), hospitalisation (3/4), airflow obstruction (11/14), dyspnoea (15/16), COPD severity (10/12), poorer quality of life (3/4) and disability (1/1). In conclusion, frailty is a common among people with COPD and associated with increased risk of adverse outcomes. Proactive identification of frailty may aid risk stratification and identify candidates for targeted intervention.

Prevalence and associated factors of frailty among community dwelling older adults in Northwest China: a cross-sectional study

OBJECTIVES

To investigate the prevalence of the comprehensive frailty and its associated factors among community dwelling older adults.

DESIGN

A cross-sectional study.

SETTING

Six community healthcare centres in Xi'an City, Northwest China.

PARTICIPANTS

A total of 2647 community dwelling older adults completed the study between March and August 2021.

PRIMARY AND SECONDARY OUTCOME MEASURES

The primary outcome was the prevalence of frailty, measured with the Comprehensive Frailty Assessment Instrument. The secondary outcomes were potential factors associated with frailty, measured with a social-demographic and health-related information sheet, the Short-Form Mini-Nutritional Assessment and the Pittsburgh Sleep Quality Index.

RESULTS

The participants averaged 27.77±10.13 in the total score of the Comprehensive Frailty Assessment Instrument. According to the cut-off points defining the classification of frailty, the majority of the participants were with mild (n=1478, 55.8%) or high (n=390, 14.8%) frailty. Multivariate stepwise linear regression analysis demonstrated that older age, lower educational level, empty nesters, higher level of self-perceived medical burden, abnormal body weight, physical inactivity, medication taking, increased number of clinic visit, undernutrition and poor sleep quality are associated with higher total score in the Comprehensive Frailty Assessment Instrument, indicating higher level of frailty. Multivariate multinomial logistic regression analysis exhibited similar findings but further captured female gender as a risk factor for the presence of mild and high frailty compared with no-low frailty.

CONCLUSION

The prevalence of the comprehensive frailty and frailty in the physiological, psychological, social and environmental domains is high. A variety of social-demographic, health-related and behavioural factors were associated with the comprehensive frailty. Further investigations on frailty prevalence and its associated factors based on comprehensive assessments are desirable.

Risk factors and a nomogram for frailty in Chinese older patients with Alzheimer's disease: A single-center cross-sectional study

This study aimed to determine the risk factors of frailty in Chinese older patients with Alzheimer's disease (AD) and then construct a nomogram for frailty in this population. A total of 205 eligible older AD patients were recruited. Patients' general demographic characteristics were collected through a self-designed questionnaire. A nomogram was constructed for frailty based on the risk factors identified from the multivariate analysis. The discrimination and calibration capabilities of this nomogram were assessed with the C-index and calibration curve, respectively. The results showed that older age, no regular exercise habit, severe cognitive decline, and low social support were identified as important risk factors of frailty in AD patients. The C-index of the nomogram was 0.884 by bootstrapping validation, and the calibration curve of the nomogram showed high coherence between the predicted and actual probabilities of frailty. In conclusion, this nomogram was validated to have favorable discrimination and calibration capabilities.

Factors influencing the stages of frailty among Korean older adults focusing on objective and subjective social isolation

BACKGROUND

Although many studies have investigated the factors influencing frailty, few studies have confirmed the influence of social factors on the stages of frailty. This study was conducted to identify factors influencing the stages of frailty in Korean older adults, focusing on objective and subjective social isolation.

METHODS

This study analyzed the data of 10,041 older adults from the 2017 National Survey of Older Koreans. Two multiple logistic regression analyses were performed to identify the factors influencing the frailty stages. Frailty was calculated using the FRAIL scale with the five domains: fatigue, resistance, ambulation, illness, and loss of weight.

RESULTS

Among Korean older adults, 51.5% were in the robust stage, 42.5% in the pre-frail stage and 6.0% in the frail stage. As a multiple logistic regression analysis, participants with an intimate relationship (Odds ratio (OR) 0.93, 95% Confidential interval (CI) = 0.91-0.95) or objective social non-isolated participants were more likely to be in the robust group than the pre-frail group. Objective social-isolated participants were more likely to belong to the frail group than the pre-frail group: isolation from family member only (OR 1.57, 95% CI = 1.04-2.39), isolation from non-family member only (OR 1.75, 95% CI = 1.39-2.19), and isolation from both family and non-family member (OR 2.56, 95% CI = 1.67-3.92).

CONCLUSIONS

This cross-sectional study showed that social isolation was associated with the stage of frailty. Therefore, researchers need to consider issues of social isolation of older adults in the development of frailty prevention and management intervention.

Consistency in the prevalence and associated factors of frailty determined by two instruments among hospitalised older adults: A cross-sectional study

AIMS AND OBJECTIVES

To investigate the consistency in the prevalence and associated factors of frailty determined by the physical-originated Fatigue, Resistance, Ambulation, Illnesses and Loss of weight (FRAIL) scale and the multidimensional Tilburg Frailty Indicators (TFI) scale.

BACKGROUND

Accurate assessment of frailty and the identification of its associated factors could guide the development and implementation of holistic and individualised treatment plan. However, recommendations regarding the selection of frailty assessment tools are inconclusive.

DESIGN

This is a cross-sectional study, the reporting of which followed the STROBE guidelines.

METHODS

A total of 1220 older adults were recruited from a university affiliated tertiary hospital in Xi'an City, Northwest China, and administrated with a social-demographic and health-related information sheet, the FRAIL, the TFI, the Short-Form Mini-Nutritional Assessment, the Pittsburgh Sleep Quality Index and the 5-level EuroQol 5 dimensions questionnaire. Descriptive statistics and binary logistic regression analysis were used to investigate the prevalence of frailty and its associated factors.

RESULTS

The prevalence of physical-originated and multidimensional frailty was 55.2% and 77.6%, respectively. The consistency between the two scales was low. Taking the combined use of the two instruments as the reference, the TFI and FRAIL could identify 89.99% and 64.02% of the participants with frailty. Polypharmacy, health-related quality of life and sleep quality were found to be associated with both physical-originated and multidimensional frailty. Nutritional status and level of physical activity were additionally identified as the independent associated factors of multidimensional frailty.

CONCLUSIONS

The prevalence of frailty among hospitalised older adults is high. There is low consistency between the FRAIL and TFI in detecting frailty. The TFI exhibited higher sensitivity in detecting individuals with frailty and its associated factors.

RELEVANCE TO CLINICAL PRACTICE

The findings of this study supported a single use of the TFI for the assessment of frailty in the hospital setting.

Interventions for Frailty Among Older Adults With Cardiovascular Disease: JACC State-of-the-Art Review

With the aging of the world's population, a large proportion of patients seen in cardiovascular practice are older adults, but many patients also exhibit signs of physical frailty. Cardiovascular disease and frailty are interdependent and have the same physiological underpinning that predisposes to the progression of both disease processes. Frailty can be defined as a phenomenon of increased vulnerability to stressors due to decreased physiological reserves in older patients and thus leads to poor clinical outcomes after cardiovascular insults. There are various pathophysiologic mechanisms for the development of frailty: cognitive decline, physical inactivity, poor nutrition, and lack of social supports; these risk factors provide opportunity for various types of interventions that aim to prevent, improve, or reverse the development of frailty syndrome in the context of cardiovascular disease. There is no compelling study demonstrating a successful intervention to improve a global measure of frailty. Emerging data from patients admitted with heart failure indicate that interventions associated with positive outcomes on frailty and physical function are multidimensional and include tailored cardiac rehabilitation. Contemporary cardiovascular practice should actively identify patients with physical frailty who could benefit from frailty interventions and aim to deliver these therapies in a patient-centered model to optimize quality of life, particularly after cardiovascular interventions.

Correlation Analysis of Hemoglobin-to-Red Blood Cell Distribution Width Ratio and Frailty in Elderly Patients With Coronary Heart Disease

Background: Coronary heart disease (CHD) is a common chronic disease in the elderly. Frailty can accelerate the development of CHD and lead to adverse health outcomes. Risk prediction and decision-making for frailty are crucial. The peripheral hemoglobin-to-red blood cell distribution width ratio (HRR) is a novel biomarker of inflammation. Our purpose was to explore the correlation between HRR and frailty in elderly patients with CHD.

Methods: This cross-sectional study evaluated 245 Chinese hospitalized patients with CHD. Blood parameters measured upon admission were obtained via the hospital electronic information medical record system. The Fried Frailty Phenotype Scale was used to evaluate the frailty status of the participants. The Receiver operating characteristic curve was used to determine the optimal cut-off values of HRR. We used univariate analysis to examine the potential factors affecting frailty. Kendall's tau-b grade correlation was used to analyze the correlation between HRR and frailty. The ordered logistic regression model was used to analyze the relationship between HRR and frailty.

Results: A total of 233 elderly patients with CHD were included in our study. Among the patients, 33.48% (78) were in a state of frailty. The optimal cut-off values of HRR was 9.76. The area under the curve (AUC) for HRR in the frailty patients was 0.652, exceed Hb (AUC = 0.618) and RDW (AUC = 0.650). Kendall's tau-b grade correlation analysis showed that HRR (K = −0.296, P < 0.001) was negatively correlated with frailty. The ordered logistic regression analysis determined that lower HRR was associated with frailty (P < 0.05) after adjusted for age, body mass index, number of drugs, comorbidity index, heart failure, red blood cells, albumin, total cholesterol, triglyceride, high density lipoprotein cholesterol, and low density lipoprotein cholesterol.

Conclusion: Lower HRR is an independent risk factor for frailty in elderly hospitalized patients with CHD. HRR was a more powerful prognostic indicator for frailty than either Hb or RDW alone. Clinicians should focus on timely identification of the risk of frailty in order to improve patient quality of life and to reduce the risk of complications.

Adult malnutrition, nutritional interventions and outcomes in Singapore: a scoping review of local studies for the past 20 years

Background:

There is currently no review published on the prevalence and incidence of malnutrition in Singapore across various populations, or what interventions or policies are in place for preventing/treating malnutrition.

Objectives:

This review aims to determine the: (a) incidence and prevalence of malnutrition in the community, and in acute, intermediate and long-term care facilities; (b) interventions implemented for screening, assessing and treating/preventing malnutrition; (c) specific clinical populations investigated for malnutrition or nutritional therapy; and (d) implications of malnutrition and effectiveness of treating malnutrition or using nutritional therapy in Singapore.

Methods:

A structured search strategy was applied to available electronic databases (MEDLINE/PubMed, EMBASE, CINAHL, the Cochrane Library and Google Scholar) using selected search terms, with additional reports and grey literature identified using iterative searches.

Results:

Forty-two articles were found, with the majority of research performed in the community and acute care settings. Malnutrition screening and assessment is the most common nutritional research performed in Singapore. Approximately 14.7% to 65.0% of acute care and 2.8% to 31.5% of community populations are found to be malnourished. Limited interventional and economic-related studies are available.

Conclusion:

Malnutrition rates in Singapore appear to be similar to other developed countries. Future studies will need to focus on nutritional intervention, cost-effectiveness analyses and specific populations such as the underprivileged, chronically ill and those dependent on nutritional support.

Effect of social participation on the development of physical frailty: Do type, frequency and diversity matter?

BACKGROUND

Little is known about the longitudinal association between social participation and incident frailty in community-dwelling older adults in general and particularly in China. This study examined the impact of type, frequency and diversity of social participation on incident physical frailty at two-year follow-up.

METHOD

Longitudinal data from three waves of the China Health and Retirement Longitudinal Study were used. Older adults who were non-frail and aged 60 years or more at baseline and had information on physical frailty at follow-up were included. Frailty was measured using the modified frailty phenotype criteria. Social participation was measured as the type, frequency and diversity of engagement in social activities, including interacting with friends, playing group games, participating in sports clubs, community-related organizations, and voluntary activities.

RESULTS

A total of 6959 eligible respondents were included. Playing group games (OR=0.73, 95%CI=0.55-0.96) or participating in the activities of sports clubs (OR=0.54, 95%CI=0.34-0.85) once or more times per week led to a decreased risk of developing frailty in two years whereas participating in voluntary activities occasionally (OR=0.50, 95%CI=0.30-0.84) had a protective effect on the development of frailty. More diverse social participation was significantly associated with lower risk of incident frailty at two-year follow-up.

CONCLUSIONS

The association between social participation and onset of physical frailty differed by the specific type and frequency of the activities that older adults engaged in. Promoting social participation of various types and at an appropriate frequency may be a promising way to mitigate the burden associated with physical frailty among older adults.

Associations Between Intellectual and Social Activities With Frailty Among Community-Dwelling Older Adults in China: A Prospective Cohort Study

Background: Frailty is one of the most important global health challenges. We aimed to examine the associations between frequency of intellectual and social activities and frailty among community-dwelling older adults in China.

Methods: This is a prospective analysis of older adults (aged ≥60 years) who had intellectual and social activity data and were free of frailty from the national representative China Health and Retirement Longitudinal Study (CHARLS). The exposure was frequency of intellectual and social activities. Frailty was measured by the frailty index (FI) and defined as FI ≥ 0.25. Frailty incidents were followed up for 2 years. We estimated the relative risks (RRs) with 95% confidence intervals (CIs) using log-linear binominal regression adjusting for potential confounders.

Results: We documented 655 frailty cases over the past 2 years. Participants who had frequent intellectual activities had a lower frailty risk compared with participants who did not have intellectual activity (adjusted RR = 0.65, 95%CI = 0.47–0.90). The adjusted RRs were 0.51 (95%CI = 0.33–0.77) for participants who did not have a slip or a fall accident and 1.06 (95%CI = 0.65–1.75) for participants who had experienced slip and fall accidents (P = 0.01 for interaction). Having frequent social activities was not associated with a significant decrease in frailty risk compared with participants who did not have social activity (adjusted RR = 0.93, 95%CI = 0.78–1.12).

Conclusions: This observational study showed that having frequent intellectual activities was associated with a decreased frailty risk. The association was likely to be stronger in participants without a slip or a fall accident. Randomized controlled trials are needed to confirm this observational finding.

Development and Validation of a Nomogram to Predict Frailty Progression in Nonfrail Chinese Community-Living Older Adults

OBJECTIVE

Frailty state progression is common among older adults, so it is necessary to identify predictors to implement individualized interventions. We aimed to develop and validate a nomogram to predict frailty progression in community-living older adults.

DESIGN

Prospective cohort study.

SETTING AND PARTICIPANTS

A total of 3170 Chinese community-living people aged ≥60 years were randomly assigned to a training set or validation set at a ratio of 6:4.

METHODS

Candidate predictors (demographic, lifestyle, and medical characteristics) were used to predict frailty state progression as measured with the Fried frailty phenotype at a 4-year follow-up, and multivariate logistic regression analysis was conducted to develop a nomogram, which was validated internally with 1000 bootstrap resamples and externally with the use of a validation set. The C index and calibration plot were used to assess discrimination and calibration of the nomogram, respectively.

RESULTS

After a follow-up period of 4 years, 64.1% (917/1430) of the participants in the robust group and 26.0% (453/1740) in the prefrail group experienced frailty progression, which included 9.1% and 21.0%, respectively, who progressed to frailty. Predictors in the final nomogram were age, marital status, physical exercise, baseline frailty state, and diabetes. Based on this nomogram, an online calculator was also developed for easy use. The discriminative ability was good in the training set (C index = 0.861) and was validated using both the internal bootstrap method (C index = 0.861) and an external validation set (C index = 0.853). The calibration plots showed good agreement in both the training and validation sets.

CONCLUSIONS AND IMPLICATIONS

An easy-to-use nomogram was developed with good apparent performance using 5 readily available variables to help physicians and public health practitioners to identify older adults at high risk for frailty progression and implement medical interventions.

Frailty measurement, prevalence, incidence, and clinical implications in people with diabetes: a systematic review and study-level meta-analysis

Background

Frailty, a state of increased vulnerability to adverse health outcomes, is important in diabetes management. We aimed to quantify the prevalence of frailty in people with diabetes, and to summarise the association between frailty and generic outcomes (eg, mortality) and diabetes-specific outcomes (eg, hypoglycaemia).

Methods

In this systematic review and study-level meta-analysis, we searched MEDLINE, Embase, and Web of Science for observational studies published between Jan 1, 2001 (the year of the original publication of the Fried frailty phenotype), to Nov 26, 2019. We included studies that assessed and quantified frailty in adults with diabetes, aged 18 years and older; and excluded conference abstracts, grey literature, and studies not published in English. Data from eligible studies were extracted using a piloted data extraction form. Our primary outcome was the prevalence of frailty in people with diabetes. Secondary outcomes were incidence of frailty and generic and diabetes-specific outcomes. Data were assessed by random-effects meta-analysis where possible and by narrative synthesis where populations were too heterogeneous to allow meta-analysis. This study is registered with PROSPERO, CRD42020163109.

Findings

Of the 3038 studies we identified, 118 studies using 20 different frailty measures were eligible for inclusion (n=1 375 373). The most commonly used measures of frailty were the frailty phenotype (69 [58%] of 118 studies), frailty (16 [14%]), and FRAIL scale (10 [8%]). Studies were heterogenous in setting (88 studies were community-based, 18 were outpatient-based, ten were inpatient-based, and two were based in residential care facilities), demographics, and inclusion criteria; therefore, we could not do a meta-analysis for the primary outcome and instead summarised prevalence data using a narrative synthesis. Median community frailty prevalence using frailty phenotype was 13% (IQR 9-21). Frailty was consistently associated with mortality in 13 (93%) of 14 studies assessing this outcome (pooled hazard ratio 1·51 [95% CI 1·30-1·76]), with hospital admission in seven (100%) of seven, and with disability in five (100%) of five studies. Frailty was associated with hypoglycaemia events in one study (<1%), microvascular and macrovascular complications in nine (82%) of 11 studies assessing complications, lower quality of life in three (100%) of three studies assessing quality of life, and cognitive impairment in three (100%) of three studies assessing cognitive impairment. 13 (11%) of 118 studies assessed glycated haemoglobin finding no consistent relationship with frailty.

Interpretation

The identification and assessment of frailty should become a routine aspect of diabetes care. The relationship between frailty and glycaemia, and the effect of frailty in specific groups (eg, middle-aged [aged <65 years] people and people in low-income and lower-middle-income countries) needs to be better understood to enable diabetes guidelines to be tailored to individuals with frailty.

Funding

Medical Research Council.

Liver fibrosis score, physical frailty, and the risk of dementia in older adults: The Italian Longitudinal Study on Aging

INTRODUCTION

Liver fibrosis increases progressively with aging and has been associated with poorer cognitive performance in middle-aged and older adults. We investigated the relationships between a non-invasive score for advanced liver fibrosis (non-alcoholic fatty liver disease [NAFLD] fibrosis score [NFS]) and dementia risk. We also assessed physical frailty, a common geriatric condition which is associated to dementia. We tested the joint effects of physical frailty and fibrosis on dementia incidence.

METHODS

A total of 1061 older adults (65 to 84 years), from the Italian Longitudinal Study on Aging, were prospectively evaluated for the risk of dementia in a period between 1992 and 2001. Liver fibrosis was defined according to the NFS. Physical frailty was assessed according to the Fried's criteria. Cox proportional hazards models were used to estimate the short- and long-term risk of overall dementia, associated to the NFS, testing the effect modifier of physical frailty status.

RESULTS

Older adults with only high NFS (F3-F4) did not exhibit a significant increased risk of overall dementia. Over 8 years of follow-up, frail older adults with high NFS had an increased risk of overall dementia (hazard ratio [HR]: 4.23; 95% confidence interval [CI]: 1.22 to 14.70, P = .023). Finally, physically frail older adults with low albumin serum levels (albumin < 4.3 g/dL) and with advanced liver fibrosis (F3-F4 NFS) compared to those with lower liver fibrosis score (F0-F2 NFS) were more likely to have a higher risk of overall dementia in a long term-period (HR: 16.42; 95% CI: 1.44 to 187.67, P = .024).

DISCUSSION

Advanced liver fibrosis (F3-F4 NFS) could be a long-term predictor for overall dementia in people with physical frailty. These findings should encourage a typical geriatric, multidisciplinary assessment which accounts also for the possible co-presence of frail condition in older adults with chronic liver disease and liver fibrosis.

A Pilot Study of the Clinical Frailty Scale to Predict Frailty Transition and Readmission in Older Patients in Vietnam

BACKGROUND

The Clinical Frailty Scale (CFS) is gaining increasing acceptance due to its simplicity and applicability.

AIMS

This pilot study aims to examine the role of CFS in identifying the prevalence of frailty, frailty transition, and the impact of frailty on readmission after discharge in older hospitalized patients.

METHODS

Patients aged ≥60 admitted to the geriatric ward of a hospital in Vietnam were recruited from 9/2018-3/2019 and followed for three months. Frailty was assessed before discharge and after three months, using the CFS (robust: score 1-2, pre-frail: 3-4, and frail: ≥5). Multivariate logistic regression was applied to investigate the associated factors of frailty transition and the impact of frailty on readmission.

RESULTS

There were 364 participants, mean age 74.9, 58.2% female. At discharge, 4 were robust, 160 pre-frail, 200 frail. Among the 160 pre-frail participants at discharge, 124 (77.5%) remained pre-frail, and 36 (22.5%) became frail after 3 months. Age (adjusted OR1.09, 95% CI 1.03-1.16), number of chronic diseases (adjusted OR 1.37, 95% CI 1.03-1.82), and polypharmacy at discharge (adjusted OR 3.68, 95% CI 1.15-11.76) were significant predictors for frailty after 3 months. A frailty status at discharge was significantly associated with increased risk of readmission (adjusted OR2.87, 95% CI 1.71-4.82).

CONCLUSIONS

Frailty was present in half of the participants and associated with increased risk of readmission. This study suggests further studies to explore the use of the CFS via phone calls for monitoring patients' frailty status after discharge, which may be helpful for older patients living in rural and remote areas.