Multimorbidity, physical frailty, and self-rated health in older patients with atrial fibrillation

Identifying Frailty in Older Adults in Rural Victoria, Australia: A Secondary Analysis of Population Health Data

Objectives: To determine the prevalence of frailty among community-dwelling older adults in regional Victoria, Australia. Methods: Frailty status of 376 participants from the Crossroads II cross-sectional study was assessed by selected markers of frailty. The selected variables were psychometrically tested. Associations between frailty and socio-demographic, environmental and health factors were analysed using chi-square, ANOVA and binary logistic regression (BLR). Results: Estimated prevalence of frailty was 39.4%. BLR indicated that frailty decreased with higher educational attainment, (OR = .23; 95% CI: .10-.51) increased for divorced/separated participants (OR = 2.68; 95% CI: 1.29-5.56) and when having three (OR = 3.27; 95% CI: 1.07-9.98), four (OR = 7.20; 95% CI: 2.22-23.31) or five or more chronic conditions (OR = 9.18; 95% CI: 2.83-29.72). Discussion: Frailty in this Australian regional community-dwelling sample was higher than other studies conducted in urban areas of Australia. Present results highlight the importance of exploring the multidimensionality of the frailty construct to have a better understanding which factors are associated with the development of this syndrome.

Cardiovascular and renal multimorbidity increase risk of atrial fibrillation in the PREVEND cohort

OBJECTIVE

Atrial fibrillation (AF) is a condition that occurs in the presence of comorbidities. With the accumulation of comorbidities (multimorbidity), some combinations may more often occur together than others. Information on the impact of clustering of these on incident AF is sparse. We aimed to investigate clustering of cardiovascular and renal comorbidities and study the association between comorbidity clusters and incident AF.

METHODS

We used the community-based Prevention of Renal and Vascular ENd-stage Disease (PREVEND) cohort in which 8592 individuals participated. Latent class analysis was performed to assess clustering of 10 cardiovascular and renal comorbidities.

RESULTS

We excluded individuals with prior AF or missing ECG data, leaving 8265 individuals for analysis (mean age 48.9±12.6 years, 50.2% women). During 9.2±2.1 years of follow-up, 251 individuals (3.0%) developed AF. A model with three clusters was the optimal model, with one cluster being young (44.5±10.8 years) and healthy, carrying a low (1.0%) risk of incident AF; one cluster being older (63.0±8.4 years) and multimorbid, carrying a high (16.2%) risk of incident AF and a third middle-aged (57.0±11.3 years), obese and hypertensive cluster carrying an intermediate risk (5.9%) of incident AF. While the prevalence of the comorbidities differed between classes, no clear combination(s) of comorbidities was observed within the classes.

CONCLUSIONS

We identified three clusters of comorbidities in individuals in the community-based PREVEND cohort. The three clusters contained different amount of comorbidities carrying different risks of incident AF. However, there were no differences between the clusters regarding specific combination(s) of comorbidities.

Features of Clinical Complexity in European Patients with Atrial Fibrillation: A Report from a European Observational Prospective AF Registry

There is increasing concern regarding impact of clinical complexity in patients with atrial fibrillation (AF). We explored the impact of different clinical complexity features in AF patients. We analyzed patients from a prospective, observational, multicentre Europe-wide AF registry. Features of clinical complexity among patients with CHA₂DS₂-VASc ≥2 were: i) history of bleeding; ii) frailty; iii) chronic kidney disease (CKD); iv) ≥2 features. A total of 10,169 patients were analysed. Of these, 141 (1.4%) had history of bleeding, 954 (9.4%) were frail, 1,767 (17.4%) had CKD and 1,253 (12.3%) had ≥2 features. All features of clinical complexity were less treated with OAC. History of bleeding (HR 1.94, 95% CI 1.32-2.85), frailty (HR 1.38, 95% CI 1.11-1.71), CKD (HR 1.50, 95% 1.28-1.75) and ≥2 features (HR 2.08, 95% CI 1.73-2.51) were associated with outcomes. Presence of features of clinical complexity is associated with lower use of OAC and higher risk of outcomes.

Investigating the relationship between self-perception of fracture risk and prior fracture: findings from the Hertfordshire Cohort Study

BACKGROUND

Self-perceived risk of fracture (SPR) is associated with fracture independent of FRAX calculated risk. To understand this better we considered whether lifestyle factors not included in the FRAX algorithm and psychosocial factors (social isolation, self-efficacy, or mental health status) explain the relationship between SPR and fracture.

METHODS

We studied 146 UK community-dwelling older adults from the Hertfordshire Cohort Study. SPR ranked as 'lower', 'similar' and 'higher' relative to others of the same age, was assessed by questionnaire. Social isolation was assessed using the six-item Lubben Social Network Scale; self-efficacy was assessed using a shortened General Self-Efficacy Scale (GSE); mental health status was assessed using the anxiety/depression item from the EuroQoL questionnaire. SPR in relation to previous self-reported fracture was examined using logistic regression.

RESULTS

Among participants of median age 83.4 (IQR 81.5-85.5) years, SPR was lower for 54.1% of participants, similar for 30.8%, and higher for 15.1%; 74.7% reported no previous fractures. Greater SPR was associated with increased odds of previous fractures when adjusting for sex and age only (OR 1.72, 95% CI 1.03-2.87, per higher band of SPR). While further individual adjustment for social isolation (1.73, 1.04-2.89), self-efficacy (1.71, 1.02-2.85), or mental health (1.77, 1.06-2.97) did not attenuate the relationship, individual adjustment for diet quality and number of comorbidities did.

CONCLUSIONS

Adjustment for social isolation, self-efficacy or mental health status did not attenuate the relationship between SPR and fracture. By contrast, lifestyle factors not included in FRAX, such as diet quality, did attenuate relationships, suggesting a possible future area of investigation.

Association of social determinants of health with frailty, cognitive impairment, and self-rated health among older adults

Background and objectives

Recently, the role of social determinants of health on frailty and dementia has received increased attention. The aim of the present study is to explore the association of social determinants on cognitive impairment, frailty, and self-rated health. As health is influenced by many factors, we also examine other health determinants including lifestyle, health seeking behaviour, socio-demographics, and multimorbidity in the analysis.

Research design and methods

Cross-sectional analysis of the Healthy Older People Everyday (HOPE) study in Singapore was carried out on 998 older adults above the age of 65. We used forward stepwise multivariable logistic and linear regression analyses to assess the association of five health determinants (social determinants, lifestyle, health seeking behaviour, socio-demographics and multimorbidity) on frailty, cognitive impairment, and self-rated health.

Results

Mean age of participants was 71.1 ± 0.2 years; 154 (15.4%) were cognitively impaired; 430 (43.1%) were pre-frail or frail; mean self-rated health was 80.4 ± 15.6. Social determinants contributed between 29% to 57% of the overall variation found in the full model with all five health determinants adjusted for. Participants with higher education had significantly lower odds of cognitive impairment and frailty. Leisure physical activity was significantly associated with lower odds of frailty and cognitive impairment, and better self-rated health.

Discussion and implications

Understanding the dynamics of different health determinants is crucial to protect the vulnerable in an ageing population. Our study highlights the need for a multidimensional, multidisciplinary and multisectoral approach in the prevention of frailty, cognitive impairment, and associated disability.

Association of food insecurity with physical frailty among older adults: study based on LASI, 2017-18

BACKGROUND

Food security can be directly linked to nutritional status and either directly or indirectly, it has an impact on health status and well-being of the population. Physical frailty is one of the most important phenotypes used to understand the vulnerable nature of older adults. This paper examined the association between food security and physical frailty in older adults.

METHODS

We used data from the Longitudinal Ageing Study in India (LASI, 2017-18), wave-1. The sample size was 31,464 older adults aged 60 years and above. Physical frailty was assessed using the modified version of frailty phenotype proposed by Fried and colleagues. Multivariable logistic regression was used to establish the association between food insecurity with physical frailty.

RESULTS

A proportion of 30.65% of older adults were frail in this study. Older adults with food insecurity had higher prevalence of exhaustion (12.1% vs 6.5%), unintentional weight loss (65.5% vs 5.1%), and weak grip strength (8.6% vs 7.9%) in comparison to their food secure counterparts. After adjusting for a large number of confounders, older adults who reported food insecurity had significantly higher odds of being frail [AOR: 2.68; CI: 2.26-3.19] in comparison to older adults with no food insecurity.

CONCLUSION

The study showed that food insecurity is associated with physical frailty among older adults in India. It is suggested that food security programs in the country may be considered as an effective strategy to prevent physical frailty among older adults.

Impact of Multimorbidity and Polypharmacy on Clinical Outcomes of Elderly Chinese Patients with Atrial Fibrillation

Background: The co-incidence of multiple morbidities and polypharmacy is common amongst patients with atrial fibrillation (AF); however, data on their impact on clinical outcomes are scarce in Asian cohorts. Objective: To evaluate the impact of multimorbidity and polypharmacy on clinical outcomes and AF management among elderly Chinese patients. Methods: The ChiOTEAF registry is a prospective, multicenter nationwide study conducted from October 2014 to December 2018. Endpoints of interest were the composite outcome of all-cause death/any thromboembolism (TE), all-cause death, cardiovascular death, TE events, major bleeding, as well as AF management. Results: The eligible cohort included 6341 individuals (mean age 74.7 ± 10.7; 39.1% female), of whom 4644 (73.2%) had multimorbidity (defined as two or more chronic diseases), and 2262 (35.7%) were treated with five or more medications. There were 2775 (43.8%) patients on anticoagulant (OAC) use. On multivariate analysis, (i) multimorbidity was associated with a higher odds ratio of the composite outcome (OR: 2.04; 95% CI: 1.49–2.79), all-cause death (OR: 1.82; 95% CI: 1.31–2.54), cardiovascular death (OR: 2.05; 95% CI: 1.13–3.69), any TE (OR: 2.69; 95% CI: 1.29–5.62), and major bleeding (OR: 2.61; 95% CI: 1.25–5.45); (ii) polypharmacy was associated with a lower odds ratio of all-cause death (OR: 0.78; 95% CI: 0.63–0.96). The use of OAC was safe and was associated with a lower odds ratio of the composite outcome and all-cause death in all subgroups of patients. Conclusions: Multimorbidity and polypharmacy were common among elderly AF Chinese patients. Multimorbidity was an independent predictor of adverse clinical outcomes. The use of OAC was safe and significantly improved survival amongst AF patients with multimorbidity and polypharmacy.

The Association Between Body Mass Index, Frailty and Long-Term Clinical Outcomes in Hospitalized Older Adults

BACKGROUND

While frailty is thought to be a wasting disorder, there is scarce data regarding the association between frailty and body mass index (BMI). The aim of this study was to determine the relationship between BMI, frailty, and mortality among hospitalized older adults.

METHODS

This is a secondary analysis of a prospective cohort study of patients aged ≥65 years admitted to a tertiary center between 2014 and 2016. Frailty was assessed by Reported Edmonton Frailty Scale (REFS) and categorized as: not frail, vulnerable/mild frail, and moderate/severe frail. BMI (kg/m2) was categorized as: underweight (<18.5), normal (18.5-24.9), overweight (25.0- 29.9), or obese (≥ 30.0). Primary outcome was all-cause one-year mortality.

RESULTS

Among 769 patients included in the study, 55.4% were frail. There was no statistically significant association between frailty categories and levels of BMI. Frail patients had a higher risk of death than non-frail after adjusting for confounders [HR: 1.98, 95% CI (1.46, 2.70) for mild frail and HR 2.03, 95% CI (1.43, 2.87) for moderate/severe frail]. Compared with normal weight patients, those who were overweight had a survival advantage if they were non-frail [HR 0.55, 95% CI (0.31, 0.96)] or vulnerable/mild frail [HR 0.65, 95% CI (0.43, 0.97)] but not if they were moderate/severe frail. There were no other statistically significant differences in survival by BMI and frailty categories.

CONCLUSIONS

We did not find a relationship between BMI and frailty among hospitalized older adults. Overweight patients had a survival advantage if they were non-frail or vulnerable. There is need for further longitudinal studies assessing the interaction between frailty and BMI in older adults.

Cardiometabolic diseases, frailty, and healthcare utilization and expenditure in community-dwelling Chinese older adults

This study investigated associations between cardiometabolic diseases, frailty, and healthcare utilization and expenditure among Chinese older adults. The participants were 5204 community-dwelling adults aged at least 60 years from the China Health and Retirement Longitudinal Study. Five cardiometabolic diseases were assessed including hypertension, dyslipidemia, diabetes, cardiac diseases and stroke. Frailty status was based on five criteria: slowness, weakness, exhaustion, inactivity, and shrinking. Participants were deemed frailty if they met at least three criteria. As the number of cardiometabolic diseases increased, so did the prevalence of frailty, and the proportion of healthcare utilization, including outpatient visit and inpatient visit. Moreover, the total healthcare expenditure and the odds of catastrophic health expenditure were increased with the number of cardiometabolic disorders. After adjusting for covariates, cardiometabolic diseases were positively associated with higher odds of frailty, incurring outpatient and inpatient visit. And individuals with 2 or more cardiometabolic diseases had a higher odds of catastrophic health expenditure than persons with non-cardiometabolic disease. Participants who were frailty were more likely to report higher odds of healthcare utilization. These findings suggest that both cardiometabolic diseases and frailty assessment may improve identification of older adults likely to require costly, extensive healthcare.