The prevalence of frailty among community-dwelling older adults with diabetes: A meta-analysis

Association of frailty index with all-cause and cardiovascular mortality with different diabetic status: NHANES 1999-2018

AIMS

The relationship between frailty and mortality among individuals with varying diabetic statuses represents a burgeoning area of concern and scholarly interest within the medical community. However, there are limited studies that explore the relationship between frailty and mortality, as well as cause-specific mortality among individuals with non-diabetes, prediabetes, and diabetes patients. Hence, this study aims to investigate the relationship between the frailty statues and all-cause mortality, as well as cause-specific mortality in individuals with varying diabetic statuses using the data in the NHANES database.

METHODS

The study utilized data from the National Health and Nutrition Examination Survey (NHANES) 1999-2018, incorporating a final sample size of 57, 098 participants. Both univariable and multivariable-adjusted logistic regression analyses, as well as Cox regression analysis were employed to examine the relationship between frailty index (FI) and mortality.

RESULTS

This study, found a significant positive correlation between the frailty and the increased risk of all-cause mortality non-diabetic [OR 4.277, 95%CI (3.982, 4.594), P < 0.001], prediabetic [OR 2.312, 95%CI (2.133, 2.506), P < 0.001], and diabetic patients [OR 3.947, 95%CI (3.378, 4.611), P < 0.001]. This correlation still existed even after adjusting for confounding factors including age, sex, BMI, poverty, fasting insulin, education, smoke, alcohol drink, waist, hypertension, hyperlipidemia, fasting glucose, HbA1c, eGFR, creatinine and total bilirubin. Our result also suggested a significant positive correlation between the frailty index and the increased risk of CVD mortality among non-diabetic [OR 3.095, 95%CI (2.858, 3.352), P < 0.001] and prediabetic [OR 5.985, 95%CI (5.188, 6.904), P < 0.001] individuals. However, in patients with diabetes, the correlation between frailty and CVD mortality lost significance after adjusting for possible confounding factors [OR 1.139, 95%CI (0.794, 1.634), P > 0.05].

CONCLUSION

A nonlinear relationship has been identified between the FI and all-cause mortality, as well as CVD mortality in non-diabetic and pre-diabetic population. In diabetic patients, there was a significant positive correlation between the frailty and the increased risk of all-cause mortality, but not with CVD mortality. Renal function and liver function might potentially acted as an intermediary factor that elevated the risk of CVD mortality in frail patients with diabetes.

Exercise interventions for frail older adults with diabetes: A scoping review

There is a paucity of evidence on exercise interventions for frail older adults with diabetes. This scoping review aims to identify the scope of the current literature on the characteristics and effects of exercise interventions for frail older adults with diabetes. A search without time limitation was conducted in eight databases. 14 studies were finally included. Resistance exercise and multicomponent exercise were the most common types of exercise. There was considerable variation in the frequency, duration and intensity of exercise interventions. Studies reported improvements in frailty status, physical function, blood glucose and lipid levels and economic effectiveness. The most frequent combined interventions involved nutrition and education. Although evidence was limited, the potential benefits of exercise interventions for frail older adults with diabetes were substantial. Further high-quality studies are needed to explore the most effective and cost-saving exercise interventions for frail older adults with diabetes.

Multidimensional associations of physical performance, balance, wellness and daily activities with frailty in older adults with coexisting frailty and diabetes

BACKGROUND

The coexistence of frailty and type 2 diabetes mellitus in the older population heightens the risk of adverse events. However, research on functional and wellness factors associated with frailty in this population is limited.

PURPOSE

To investigate the associations of physical performance, functional dependency, physical activity, nutritional status, sleep, self-perceived health and depression with frailty in community-dwelling older adults with coexisting frailty and type 2 diabetes mellitus.

DESIGN

Cross-sectional.

METHODS

The study included 123 community-dwelling older adults (73.7 ± 6.0 years) with pre-frailty/frailty and type 2 diabetes mellitus. Physical performance (Short Physical Performance Battery), functional dependency (Barthel Index and Lawton & Brody), physical activity and inactivity (GeneActiv wrist-worn accelerometer), malnutrition risk (Mini Nutritional Assessment), sleep (Pittsburgh Sleep Quality Index), self-perceived health (EuroQoL 5-Dimension 3-Level) and depression (Yesavage 15-item-Geriatric-Depression-Scale) were evaluated through personal interviews. Principal component analysis (PCA) was performed to categorize the variables into components, and logistic regressions were used to propose the best-fitted model for each component.

RESULTS

The PCA identified four components: (i) physical performance, with gait speed and leg mean velocity as the main variables associated with frailty; (ii) balance, showing significant associations with monopodal balance; (iii) daily activities, with moderate to vigorous physical activity and the Lawton and Brody score as the main variables associated with frailty within this component; and (iv) wellness factors, with nutritional status, self-perceived health and depression score as the primary variables associated with frailty.

CONCLUSIONS

This research underscores the significance of physical function and daily activities as protective factors against frailty in community-dwelling older adults with coexisting frailty and type 2 diabetes mellitus. The health dimension contributes both protective and risk factors, emphasizing the need for comprehensive assessments in managing frailty in this population.

REPORTING METHOD

The study adhered to the STROBE checklist.

PATIENT OR PUBLIC CONTRIBUTION

No patient or public contribution.

Association of phenotypic frailty and frailty index with type 2 diabetes and dyslipidemia in middle-aged and elderly Chinese: A longitudinal cohort study

PURPOSE

Frailty, type 2 diabetes (T2D) and dyslipidemia are highly prevalent in middle-aged and elderly populations. However, evidence on the longitudinal association of frailty with T2D and dyslipidemia is limited. The aim of our study was to explore the cross-sectional and longitudinal effects of frailty levels on T2D and dyslipidemia in combination with phenotypic frailty and frailty index (FI).

MATERIALS AND METHODS

Multivariate logistic regression model was used to explore the association of frailty status with T2D and dyslipidemia. Area under curve (AUC) of the receiver operating characteristic curve (ROC) to estimate the predictive values of phenotypic frailty and frailty index for T2D and dyslipidemia. In addition, depressive symptom was used as a mediating variable to examine whether it mediates the association between frailty and T2D or dyslipidemia.

RESULTS

10,203 and 9587 participants were chosen for the longitudinal association analysis of frailty with T2D and dyslipidemia. Frailty was associated with T2D (phenotypic frailty: OR=1.50, 95 %CI=1.03, 2.17; FI: OR=1.17, 95 %CI=1.08, 1.26) and dyslipidemia (phenotypic frailty: OR=1.56, 95 %CI=1.16, 2.10; FI: OR=1.17, 95 %CI=1.10, 1.25). Phenotypic frailty and frailty index significantly improved the risk discrimination of T2D and dyslipidemia (p<0.05). Depressive symptoms played a mediating role in the association between frailty and long-term T2D or dyslipidemia (p<0.05).

CONCLUSION

Frailty had adverse effects on type 2 diabetes and dyslipidemia, with depressive symptoms acting as the mediator.

Association between frailty and hepatic fibrosis in NAFLD among middle-aged and older adults: results from NHANES 2017-2020

Background

Although previous studies found that frailty is prevalent in NAFLD patients with advanced liver fibrosis and cirrhosis, studies examining the relationship are spare.

Aim

Our study aspires to investigate the potential correlation between the Frailty Index (FI) and hepatic fibrosis among middle-aged and older adults with NAFLD.

Methods

Data from the 2017-2020.03 National Health and Nutrition Examination Survey (NHANES) were utilized for this study, with a final of 2,383 participants aged 50 years and older included. The quantification of frailty was executed employing a 49-item frailty index. The recognition of hepatic steatosis and fibrosis was accomplished through the utilization of the controlling attenuation parameter (CAP) and transient elastography (TE). The relationship between the FI and hepatic fibrosis were investigated employing univariable and multivariable-adjusted logistic regression analyses. A subgroup analysis was conducted, dividing the subjects based on gender, Body Mass Index (BMI), and the presence of hyperlipidemia.

Results

The findings demonstrated a positive correlation between the FI and significant hepatic fibrosis in NAFLD, even after using multivariate logistic regression models adjusting for potential confounding factors (OR = 1.022, 95% CI, 1.004-1.041) and in tertiles (Q3vs Q1: OR = 2.004, 95% CI, 1.162-3.455). In the subgroup analysis, the correlation was more statistically significant in male (OR = 1.046, 95% CI, 1.022-1.071), under/normal weight (OR = 1.077, 95% CI, 1.009-1.150), overweight (OR = 1.040, 95% CI, 1.010-1.071), and subjects without hyperlipidemia (OR = 1.054, 95% CI, 1.012-1.097). The area under the Receiver Operating Characteristic (ROC) curve for the FI in assessing the existence of substantial fibrosis in NAFLD was 0.612 (95% CI, 0.596-0.628).

Conclusion

This study demonstrated a positive correlation between significant hepatic fibrosis and frailty, particularly among males aged 50 years and older, who were non-obese and did not have hyperlipidemia with NAFLD. Additional studies are required to further validate these findings.

Guideline for the Management of Diabetes Mellitus in the Elderly in China (2024 Edition)

With the deepening of aging in China, the prevalence of diabetes in older people has increased noticeably, and standardized diabetes management is critical for improving clinical outcomes of diabetes in older people. In 2021, the National Center of Gerontology, Chinese Society of Geriatrics, and Diabetes Professional Committee of Chinese Aging Well Association organized experts to write the first guideline for diabetes diagnosis and treatment in older people in China, the Guideline for the Management of Diabetes Mellitus in the Elderly in China (2021 Edition). The guideline emphasizes that older patients with diabetes are a highly heterogeneous group requiring comprehensive assessment and stratified and individualized management strategies. The guideline proposes simple treatments and de-intensified treatment strategies for older patients with diabetes. This edition of the guideline provides clinicians with practical and operable clinical guidance, thus greatly contributing to the comprehensive and full-cycle standardized management of older patients with diabetes in China and promoting the extensive development of clinical and basic research on diabetes in older people and related fields. In the past 3 years, evidence-based medicine for older patients with diabetes and related fields has further advanced, and new treatment concepts, drugs, and technologies have been developed. The guideline editorial committee promptly updated the first edition of the guideline and compiled the Guideline for the Management of Diabetes Mellitus in the Elderly in China (2024 Edition). More precise management paths for older patients with diabetes are proposed, for achieving continued standardization of the management of older Chinese patients with diabetes and improving their clinical outcomes.

Prevalence and Impact of Frailty in Pancreatic Cancer: A Systematic Review and Meta-Analysis Based on 35,191 Patients

BACKGROUND

Frailty has been associated with increased mortality among patients with pancreatic cancer. Nevertheless, several lines of evidence regarding the prevalence of frailty in patients with pancreatic cancer and mortality in patients with pancreatic cancer and frailty have not been thoroughly investigated and require clarification.

METHODS

A systematic review and meta-analysis of studies indexed in PubMed, Scopus, Web of Science, and Embase through March 2023 were conducted, and the pooled prevalence and relative risk (RR) estimate were calculated.

RESULTS

A total of 18 studies containing 35,191 patients with pancreatic cancer were included. The prevalence of frailty in pancreatic cancer was 45% (95% CI = 29-62; I2 = 99.9%; p = 0.000). In patients with pancreatic cancer, frailty was associated with increased relative risk for mortality (RR = 1.70; 95% CI = 1.30-2.22; I2 = 84.8%, p = 0.000).

CONCLUSIONS

Frailty prevalence in pancreatic cancer is common and exerts a significant negative impact on the survival of patients with pancreatic cancer. Our findings are characterized by significant heterogeneity, and caution is warranted in their interpretation. However, these findings highlight the importance of evaluating frailty, which may provide prognostic data and inform decision-making priorities.

Rationale and design of Juntendo Sarcopenia Registration to explore the predictors and prognosis of sarcopenia and frailty in the elderly in TOKYO (JUSTICE-TOKYO)

AIM

This study aimed to clarify the prevalence, predictors, and prognosis of frailty and sarcopenia in both cross-sectional and longitudinal study of the real world.

METHODS

The JUSTICE-TOKYO study is a single-center, prospective observational study of elderly patients. Patients aged ≥65 years who regularly visited our center were enrolled and followed up for 4 years (n = 1042). The diagnosis of sarcopenia and frailty in the enrolled patients was based on the criteria established by the Asian Working Group for Sarcopenia and Japanese version of the Cardiovascular Health Study criteria, respectively. The primary end point is the incidence of all-cause mortality and hospitalization for treatment. The secondary end points are clinically significant bleeding, cardiovascular events, strokes, malignancies, incidence of falling, fractures, pneumonia, and the onset of new dementia cases.

RESULTS

A total of 1042 patients were enrolled in this study. The mean age of the cohort at baseline was 78.2 years, with 56% being women. Among the enrolled patients, 223 (21.4%) diagnosed with sarcopenia, 172 (16.5%) exhibited frailty, and 541 (51.9%) fell into the prefrailty category.

CONCLUSIONS

The JUSTICE-TOKYO study provides valuable insights into the prevalence of sarcopenia and frailty among older adult outpatients in a real-world context and contributes to measures aimed at extending healthy life expectancy. Geriatr Gerontol Int 2024; 24: 168-172.

The inverse association between DNA gaps and HbA1c levels in type 2 diabetes mellitus

Naturally occurring DNA gaps have been observed in eukaryotic DNA, including DNA in nondividing cells. These DNA gaps are found less frequently in chronologically aging yeast, chemically induced senescence cells, naturally aged rats, D-galactose-induced aging model rats, and older people. These gaps function to protect DNA from damage, so we named them youth-associated genomic stabilization DNA gaps (youth-DNA-gaps). Type 2 diabetes mellitus (type 2 DM) is characterized by an early aging phenotype. Here, we explored the correlation between youth-DNA-gaps and the severity of type 2 DM. Here, we investigated youth-DNA-gaps in white blood cells from normal controls, pre-DM, and type 2 DM patients. We found significantly decreased youth-DNA-gap numbers in the type 2 DM patients compared to normal controls (P = 0.0377, P = 0.0018 adjusted age). In the type 2 DM group, youth-DNA-gaps correlate directly with HbA1c levels. (r = - 0.3027, P = 0.0023). Decreased youth-DNA-gap numbers were observed in patients with type 2 DM and associated with increased HbA1c levels. Therefore, the decrease in youth-DNA-gaps is associated with the molecular pathogenesis of high blood glucose levels. Furthermore, youth-DNA-gap number is another marker that could be used to determine the severity of type 2 DM.

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.

Diagnostic accuracy of the FRAIL scale for frailty screening in community-dwelling older adults with diabetes: A cross-sectional study

There is limited evidence on the diagnostic accuracy of the FRAIL scale in community-dwelling older adults with diabetes. This study aimed to validate the diagnostic accuracy and determine the optimal cutoff point of the FRAIL scale in community-dwelling older adults with diabetes using the Fried Frailty Phenotype as the reference standard. A total of 489 community-dwelling older adults with diabetes aged 60 or above were recruited in this cross-sectional study. The FRAIL scale showed good diagnostic accuracy for frailty screening. The optimal cutoff point for frailty screening in older adults with diabetes was 2. The agreement between the FRAIL scale and the Fried Frailty Phenotype was substantial. The FRAIL scale classified more participants as frail (29.24%) than the Fried Frailty Phenotype (22.09%). These findings provide evidence that the FRAIL scale is a valid tool that can be applied to community-dwelling older adults with diabetes.

Associations Between Frailty and the Increased Risk of Adverse Outcomes Among 38,950 UK Biobank Participants With Prediabetes: Prospective Cohort Study

BACKGROUND

Compared with adults with normal glucose metabolism, those with prediabetes tend to be frail. However, it remains poorly understood whether frailty could identify adults who are most at risk of adverse outcomes related to prediabetes.

OBJECTIVE

We aimed to systematically evaluate the associations between frailty, a simple health indicator, and risks of multiple adverse outcomes including incident type 2 diabetes mellitus (T2DM), diabetes-related microvascular disease, cardiovascular disease (CVD), chronic kidney disease (CKD), eye disease, dementia, depression, and all-cause mortality in late life among middle-aged adults with prediabetes.

METHODS

We evaluated 38,950 adults aged 40 years to 64 years with prediabetes using the baseline survey from the UK Biobank. Frailty was assessed using the frailty phenotype (FP; range 0-5), and participants were grouped into nonfrail (FP=0), prefrail (1≤FP≤2), and frail (FP≥3). Multiple adverse outcomes (ie, T2DM, diabetes-related microvascular disease, CVD, CKD, eye disease, dementia, depression, and all-cause mortality) were ascertained during a median follow-up of 12 years. Cox proportional hazards regression models were used to estimate the associations. Several sensitivity analyses were performed to test the robustness of the results.

RESULTS

At baseline, 49.1% (19,122/38,950) and 5.9% (2289/38,950) of adults with prediabetes were identified as prefrail and frail, respectively. Both prefrailty and frailty were associated with higher risks of multiple adverse outcomes in adults with prediabetes (P for trend <.001). For instance, compared with their nonfrail counterparts, frail participants with prediabetes had a significantly higher risk (P<.001) of T2DM (hazard ratio [HR]=1.73, 95% CI 1.55-1.92), diabetes-related microvascular disease (HR=1.89, 95% CI 1.64-2.18), CVD (HR=1.66, 95% CI 1.44-1.91), CKD (HR=1.76, 95% CI 1.45-2.13), eye disease (HR=1.31, 95% CI 1.14-1.51), dementia (HR=2.03, 95% CI 1.33-3.09), depression (HR=3.01, 95% CI 2.47-3.67), and all-cause mortality (HR=1.81, 95% CI 1.51-2.16) in the multivariable-adjusted models. Furthermore, with each 1-point increase in FP score, the risk of these adverse outcomes increased by 10% to 42%. Robust results were generally observed in sensitivity analyses.

CONCLUSIONS

In UK Biobank participants with prediabetes, both prefrailty and frailty are significantly associated with higher risks of multiple adverse outcomes, including T2DM, diabetes-related diseases, and all-cause mortality. Our findings suggest that frailty assessment should be incorporated into routine care for middle-aged adults with prediabetes, to improve the allocation of health care resources and reduce diabetes-related burden.

Association of pre-stroke frailty and health-related factors with post-stroke functional independence among community-dwelling Chinese older adults

OBJECTIVES

Frailty is associated with a range of poor post-stroke outcomes. There is still a lack of comprehensive understanding of the temporal relationship between pre-stroke frailty status and other related factors with functional recovery after stroke. This study aims to evaluate pre-stroke frailty status and health-related factors associated with functional independence among community-dwelling Chinese older adults.

MATERIALS AND METHODS

The dataset based on the China Health and Retirement Longitudinal Study (CHARLS) conducted in 28 provinces across China was used. The pre-stroke frailty status was assessed using the Physical Frailty Phenotype (PFP) scale with the 2015 wave data. The PFP scale consisted of five criteria with a total score of 5, and categorized into non-frail (0 point), prefrail (1 and 2 points), and frail (3 or more points). Covariates included demographic factors (age, sex, marital status, residence, and education level) and health-related variables (comorbidities, self-reported health status and cognition). Activities of daily living (ADL) and instrumental activities of daily living (IADL) were assessed as the functional outcomes, with difficulties in at least one of the 6 ADL items and 5 IADL items defined as ADL/IADL limitation respectively. A logistic regression model was used to estimate the associations.

RESULTS

A total of 666 participants who were newly diagnosed with stroke during the 2018 wave were included. 234 (35.1%) participants were classified as non-frail, 380 (57.1%) participants were classified as prefrail, and 52 (7.8%) participants were classified as frail. Pre-stroke frailty was significantly associated with ADL and IADL limitations post stroke. Additional significant variables with ADL limitation were age, female and more comorbidities. Additional significant variables with IADL limitation were age, female, married or cohabitating, more comorbidities and pre-stroke lower global cognitive score.

CONCLUSION

Frailty status was associated with ADL and IADL limitations after stroke. A more comprehensive assessment of frailty in older people may help to identify those with most significant risk for declining functional capacities after stroke and to develop appropriate intervention strategies.

Comparison of Frailty Assessment Tools for Older Thai Individuals at the Out-Patient Clinic of the Family Medicine Department

This study evaluated the validity of the screening tools used to evaluate the frailty status of older Thai people. A cross-sectional study of 251 patients aged 60 years or more in an out-patient department was conducted using the Frailty Assessment Tool of the Thai Ministry of Public Health (FATMPH) and the Frail Non-Disabled (FiND) questionnaire, and the results were compared with Fried's Frailty Phenotype (FFP). The validity of the data acquired using each method was evaluated by examining their sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and Cohen's kappa coefficient. Most of the participants were female (60.96%), and most were between 60 and 69 years old (65.34%). The measured prevalences of frailty were 8.37%, 17.53%, and 3.98% using FFP, FATMPH, and FiND tools, respectively. FATMP had a sensitivity of 57.14%, a specificity of 86.09%, a PPV of 27.27%, and an NPV of 95.65%. FiND had a sensitivity of 19.05%, a specificity of 97.39%, a PPV of 40.00%, and an NPV of 92.94%. The results of the Cohen's kappa comparison of these two tools and FFP were 0.298 for FATMPH and 0.147 for FiND. The predictive values of both FATMPH and FiND were insufficient for assessing frailty in a clinical setting. Additional research on other frailty tools is necessary to improve the accuracy of frailty screening in the older population of Thailand.

Association of Baseline and Longitudinal Changes in Frailty Burden and Risk of Heart Failure in Type 2 Diabetes-Findings from the Look AHEAD Trial

BACKGROUND

Individuals with diabetes have a high frailty burden and increased risk of heart failure (HF). In this study, we evaluated the association of baseline and longitudinal changes in frailty with risk of HF and its subtypes: HF with preserved ejection fraction (HFpEF), and HF with reduced ejection fraction (HFrEF).

METHODS

Participants (age: 45-76 years) of the Look AHEAD trial without prevalent HF were included. The frailty index (FI) was used to assess frailty burden using a 35-variable deficit model. The association between baseline and longitudinal changes (1- and 4-year follow-up) in FI with risk of overall HF, HFpEF (ejection fraction [EF] ≥ 50%), and HFrEF (EF < 50%) independent of other risk factors and cardiorespiratory fitness was assessed using adjusted Cox models.

RESULTS

The study included 5 100 participants with type 2 diabetes mellitus, of which 257 developed HF. In adjusted analysis, higher frailty burden was significantly associated with a greater risk of overall HF. Among HF subtypes, higher baseline FI was significantly associated with risk of HFpEF (hazard ratio [HR] [95% CI] per 1-SD higher FI: 1.37 [1.15-1.63]) but not HFrEF (HR [95% CI]: 1.19 [0.96-1.46]) after adjustment for potential confounders, including traditional HF risk factors. Among participants with repeat measures of FI at 1- and 4-year follow-up, an increase in frailty burden was associated with a higher risk of HFpEF (HR [95% CI] per 1-SD increase in FI at 4 years: 1.78 [1.35-2.34]) but not HFrEF after adjustment for other confounders.

CONCLUSIONS

Among individuals with type 2 diabetes mellitus, higher baseline frailty and worsening frailty burden over time were independently associated with higher risk of HF, particularly HFpEF after adjustment for other confounders.

Frailty and risk of microvascular complications in patients with type 2 diabetes: a population-based cohort study

BACKGROUND

Cross-sectional studies found that frailty was associated with prevalent diabetic microvascular complications (DMC). Longitudinal evidence in this regard is inconclusive and insufficient. We aimed to prospectively evaluate the association of pre-frailty and frailty with DMC in patients with type 2 diabetes (T2D).

METHODS

We included 18,062 adults (mean age 59.4 ± 7.2 years, 37.4% female) with T2D at baseline in the UK Biobank. Frailty was defined using the frailty phenotype according to five components (weight loss, exhaustion, low physical activity, slow gait speed, and low grip strength). DMC, defined as diabetic nephropathy, diabetic neuropathy, or diabetic retinopathy, was identified using hospital inpatient records and death registries. Cox proportional hazard regression models considering competing risks were used to evaluate the associations of frailty phenotype with overall DMC events and subtypes.

RESULTS

Among all participants, 6101 (33.8%) were classified as non-frail, 10,073 (55.8%) were classified as pre-frail, and 1888 (10.4%) were classified as frail. During a median follow-up of 12.0 years, 3678 DMC cases were documented, including 2213 diabetic nephropathy, 1520 diabetic retinopathy, and 673 diabetic neuropathy events. In the multivariable-adjusted model, compared with participants with non-frail, both pre-frailty and frailty were significantly associated with increased risk of overall DMC (HR 1.10, 95% CI: [1.02, 1.18] for pre-frailty and HR 1.52 [95% CI: 1.36, 1.69] for frailty). Similar results were observed in the subtypes of DMC. For each one-point increase in frailty phenotype score, the risk of overall DMC, diabetic nephropathy, diabetic retinopathy, and diabetic neuropathy event increased by 13%, 16%, 10%, and 20%, respectively.

CONCLUSIONS

Both pre-frailty and frailty were associated with an increased risk of DMC in patients with T2D. These findings have important implications for integrating early assessment and surveillance of frailty in diabetes and may favor the identification of at-risk patients.

Adherence to Medication in Older Adults with Type 2 Diabetes Living in Lubuskie Voivodeship in Poland: Association with Frailty Syndrome

Purpose: Diabetic patients aged 65 years or older are more likely to be frail than non-diabetic older adults. Adherence to therapeutic recommendations in the elderly suffering from diabetes and co-existent frailty syndrome may prevent complications such as micro- or macroangiopathy, as well as significantly affect prevention and reversibility of frailty. The study aimed at assessing the impact of frailty syndrome (FS) on the level of adherence to medication in elderly patients with type 2 diabetes (DM2). Patients and Methods: The research was carried out among 175 DM2 patients (87; 49.71% women and 88; 50.29% men) whose average age amounted to 70.25 ± 6.7. Standardized research instruments included Tilburg frailty indicator (TFI) to assess FS and adherence in chronic disease scale questionnaire (ACDS) to measure adherence to medications. Results: The group of 101 (57.71%) patients displayed medium, 39 (22.29%)—low, and 35 (20.00%)—high adherence. As many as 140 of them (80.00%) were diagnosed with frailty syndrome. The median of the average result of TFI was significantly higher in the low adherence group (p ˂ 0.001) (Mdn = 9, Q1–Q3; 7–10 pt.) than in the medium (Mdn = 6, Q1–Q3; 5–9 pt.) or high adherence (Mdn = 6.00, Q1–Q3; 4.5–8 pt.) ones. The independent predictors of the chance to be qualified to the non-adherence group included three indicators: TFI (OR 1.558, 95% CI 1.245–1.95), male gender (OR 2.954, 95% CI 1.044–8.353), and the number of all medications taken daily (each extra pill decreased the chance of being qualified to the non-adherence group by 15.3% (95% CI 0.728–0.954). Conclusion: Frailty syndrome in elderly DM2 patients influenced medical adherence in this group. The low adhesion group had higher overall TFI scores and separately higher scores in the physical and psychological domains compared to the medium and high adhesion groups.

Sleep Duration and Frailty Risk among Older Adults: Evidence from a Retrospective, Population-Based Cohort Study

OBJECTIVES

Frailty and sleep duration complaints are both prevalent and often coexist among older adults. The purpose of this study was to examine the prospective association between sleep duration and frailty risk in a nationally representative cohort study.

DESIGN

Prospective cohort study, ten-year follow-up.

SETTING

Community-based setting in 23 provinces of China.

PARTICIPANTS

A total of 7623 older adults age 65 and over without frailty at baseline were included in the analysis.

MEASUREMENTS

The participants were divided into three groups according to self-reported sleep duration: short (≤6 hours per day), middle (>6 but <10 hours per day) and long (≥10 hours per day). Frailty was measured according to the accumulation of health deficits by the construction of a frailty index of 38 items with 0.25 as the cutoff. A Cox proportional hazard model, a competing risk model and a generalized estimating equation (GEE) model with multiple adjustments were performed to evaluate the association between sleep duration and frailty risk.

RESULTS

During a median follow-up period of 4.4 years (IQR 2.9-9.0), 2531 (33.2%) individuals developed frailty. Compared with participants with middle sleep duration, the risk of frailty was increased among participants with long sleep duration (HR 1.26, 95% CI 1.14-1.38) in the fully adjusted Cox proportional hazard model. However, short sleep duration was insignificantly associated with frailty risk. The competing risk model and the GEE model yielded similar results.

CONCLUSION

Long sleep duration is significantly associated with frailty incidence among older adults even after adjustment for confounding factors. This study provides reinforcing longitudinal evidence for the need to design sleep quality improvement interventions in health care programs to prevent frailty among older adults.

Combined effect of diabetes and frailty on mortality among Chinese older adults: A follow-up study

BACKGROUND

Frailty and diabetes are two important health problems associated with aging in older individuals. This paper seeks to analyze the frailty in older adults suffering from diabetes and the combined effect of diabetes and frailty on mortality risk.

METHODS

The frailty index (FI) model was employed when evaluating frailty among the older adults based on the baseline data conducted in 2009; and death as outcome variables collected in 2020 were analyzed. The influence of diabetes on age-related changes in frailty in the older adults and resulting mortality rates was analyzed. Cox regression and Kaplan-Meier curves were applied to evaluate the influence on the risk of death and the 11-year survival of the older adults with varying diabetes and frailty statuses.

RESULTS

Ultimately, 1,213 older people aged between 60 and 101, with an average age of (74.79 ± 8.58) at baseline, were included in the analysis. By 2020, there had been 447 deaths with mortality at 36.9% (447/1,213); there were 271 cases of diabetes, with a prevalence of 22.3% (271/1,213). The mean FI value for older adults with diabetes was higher than that of those without regardless of age, and the average annual relative growth rate of the FI value for older adults with diabetes was higher than that of those without diabetes (β = 0.039 vs. β = 0.035, t = 8.367, P < 0.001). For all FI value levels, the mortality rate among older adults with diabetes was higher than that of those without. The Cox Regression analysis showed that, compared with those suffering from neither diabetes nor frailty, older adults with both had the higher mortality risk (HR = 1.760. P < 0.001), followed by older adults suffering from frailty alone (HR = 1.594, P = 0.006), and then by older adults suffering from only diabetes (HR = 1.475, P = 0.033). The survival analysis showed that the median survival of those suffering from diabetes and frailty to be the shortest at just 57.23 (95% CI: 54.05 to 60.41) months, lower than the 83.78 (95% CI: 79.33 to 88.23) months in those suffering from frailty alone, and 119.93 (95% CI: 113.84 to 126.02) months in those with only diabetes, and 124.39 (95% CI: 119.76 to 129.02) months in older adults with neither diabetes nor frailty (P < 0.001).

CONCLUSION

Frailty is common among older adults suffering from diabetes, and there is an increased risk of poor health outcomes, such as death, among older adults suffering from diabetes and frailty. When diagnosing, treating, and dealing with older adults with diabetes, attention should be paid to screening and assessing frailty in hopes of identifying it early so that appropriate measures of intervention can be taken to avoid or delay the resulting adverse effects.

Co-occurrence of Physical Frailty and Chronic Obstructive Pulmonary Disease and Association with Disability and Mortality: Singapore Longitudinal Ageing Study

BACKGROUND

Physical frailty is commonly associated with COPD, and its evaluation in COPD may provide important prognostic information for risk stratification.

RESEARCH QUESTIONS

What are the co-morbid associations of physical frailty with COPD? Does physical frailty singly and in combination with FEV₁% and dyspnoea predict disability and mortality?

STUDY DESIGN AND METHODS

Prospective cohort study of community-dwelling adults aged 55+ in the Singapore Longitudinal Ageing Study. Baseline data of 1162 participants with COPD and 3465 participants without COPD included physical frailty, FEV₁% and dyspnoea. Outcome measures were prevalent and incident IADL/ADL disability at 3-5 years follow up and all-cause mortality up to 11 years. Odds ratio (OR) and hazard ratio (HR) and 95% confidence intervals (95%CI) were adjusted for socioeconomic status, smoking and comorbidity count.

RESULTS

Baseline prevalence of prefrailty (48.8%) and frailty (6.8%) in participants with COPD were significantly higher than in participants without COPD: frailty OR=1.61, 95%CI=1.15-2.26. Prefrailty/frailty was associated significantly with 2-fold increased odds of prevalent and incident IADL/ADL disability and mortality in participants with COPD. In combination with FEV₁%<80% or dyspnoea, frailty was associated with substantially increased 3-4-fold odds of prevalent and incident IADL/ADL disability, and 2-3-fold increased mortality hazard. A summary score combining physical frailty, FEV₁<80% and dyspnoea predicted steeper risk gradients of prevalent and incident IADL/ADL disability and mortality across four risk categories (0,1,2,3-5), with the highest risk category predicting between 7-8.5-fold increased risks in crude analyses, which remained significantly high after covariate adjustment.

INTERPRETATION

The study supports the use of physical frailty in addition to lung function and dyspnoea in multidimensional evaluation of COPD.

Frailty Is Associated with Oxidative Stress in Older Patients with Type 2 Diabetes

Aging has increased the prevalence of frailty, and type 2 diabetes (T2D) has also increased in prevalence. Diabetes and oxidative stress (OS) have been shown to be related to frailty. However, the exact mechanism by which it occurs is not fully known. Our aim was to analyze body composition in community-dwelling older diabetic people treated in our center and to evaluate the possible relation between OS, frailty, and body composition. We included 100 adults older than 65 years with T2D. We found that 15% were frail and 57% were prefrail. The patients included in the nonrobust group showed increased levels of OS. Our study shows that the presence of T2D in the geriatric population is associated with a high prevalence of frailty and high OS levels, conditions that cause greater morbidity and mortality and that highlight the importance of the diagnosis of frailty in this population.

The prevalence of frailty among breast cancer patients: a systematic review and meta-analysis

PURPOSE

Coexistence of frailty and breast cancer (BC) is related to a higher risk of hospitalization, mortality, and falls. Given the potential reversibility of frailty, investigating its epidemiology in BC is of great importance. However, estimates of the prevalence of frailty in BC patients vary considerably. We synthesized the existing body of literature on the prevalence of frailty among BC patients.

METHODS

We searched English databases (Cochrane Library, PubMed, Medline, CINAHL, Embase, Scopus, and Web of Science) and Chinese databases (CNKI, WanFang, CBM, and VIP database) from the inception to April 15, 2021, and collected observational studies about the prevalence of frailty among BC patients. The robustness of the pooled estimates was validated by analysis of different subgroups, meta-regression, and sensitivity. All data were analyzed using Stata 15.1.

RESULTS

In total, 4645 articles were screened and data from 24 studies involving 13,510 subjects were used in the meta-analysis. The prevalence of frailty among BC patients in individual studies varied from 5 to 71%. The pooled prevalence of frailty was 43% (95% confidence intervals (CI): 36% to 50%, I² = 98.4%, P < 0.05). Subgroup analyses revealed that the therapeutic method, frailty scales, age, frailty stage, regions, publication years, and study quality were associated with the prevalence of frailty among BC patients.

CONCLUSIONS

The prevalence of frailty among BC patients was relatively high, and the conditions of BC treatment can increase the risk of frailty. Understanding the effects of frailty on BC, especially in elderly patients, can provide the healthcare personnel with the theoretical basis for patients' management and treatment.

Physical frailty and cognitive impairment in older nursing home residents: a latent class analysis

BACKGROUND

Little is known about the heterogeneous clinical profile of physical frailty and its association with cognitive impairment in older U.S. nursing home (NH) residents.

METHODS

Minimum Data Set 3.0 at admission was used to identify older adults newly-admitted to nursing homes with life expectancy ≥6 months and length of stay ≥100 days (n = 871,801). Latent class analysis was used to identify physical frailty subgroups, using FRAIL-NH items as indicators. The association between the identified physical frailty subgroups and cognitive impairment (measured by Brief Interview for Mental Status/Cognitive Performance Scale: none/mild; moderate; severe), adjusting for demographic and clinical characteristics, was estimated by multinomial logistic regression and presented in adjusted odds ratios (aOR) and 95% confidence intervals (CIs).

RESULTS

In older nursing home residents at admission, three physical frailty subgroups were identified: "mild physical frailty" (prevalence: 7.6%), "moderate physical frailty" (44.5%) and "severe physical frailty" (47.9%). Those in "moderate physical frailty" or "severe physical frailty" had high probabilities of needing assistance in transferring between locations and inability to walk in a room. Residents in "severe physical frailty" also had greater probability of bowel incontinence. Compared to those with none/mild cognitive impairment, older residents with moderate or severe impairment had slightly higher odds of belonging to "moderate physical frailty" [aOR (95%CI)moderate cognitive impairment: 1.01 (0.99-1.03); aOR (95%CI)severe cognitive impairment: 1.03 (1.01-1.05)] and much higher odds to the "severe physical frailty" subgroup [aOR (95%CI)moderate cognitive impairment: 2.41 (2.35-2.47); aOR (95%CI)severe cognitive impairment: 5.74 (5.58-5.90)].

CONCLUSIONS

Findings indicate the heterogeneous presentations of physical frailty in older nursing home residents and additional evidence on the interrelationship between physical frailty and cognitive impairment.