Cardiovascular risk factors and frailty in a cross-sectional study of older people: implications for prevention

Frailty and risk of systemic atherosclerosis: A bidirectional Mendelian randomization study

BACKGROUND

Numerous observational studies have reported an association between frailty and atherosclerosis. However, the causal relationship between frailty and the occurrence of atherosclerosis in different anatomical sites remains unclear. we conducted a bidirectional Mendelian randomization (MR) study to evaluate the causal relationship between the frailty index (FI), and both systemic atherosclerosis and lipids.

METHODS

We obtained summary statistics from large-scale genome-wide association studies (GWAS) of various phenotypes, including frailty (n = 175,226), coronary atherosclerosis (n = 56,685), cerebral atherosclerosis (n = 150,765), peripheral arterial disease (PAD) (n = 361,194), atherosclerosis at other sites (n = 17,832), LDL-C (n = 201,678), HDL-C (n = 77,409), and triglycerides (n = 78,700). The primary MR analysis employed the inverse variance weighted (IVW) method. Furthermore, to assess reverse causality, we employed inverse MR and multivariate MR analysis.

RESULTS

Genetically predicted FI showed positive associations with the risk of coronary atherosclerosis (OR = 1.47, 95% CI 1.12-1.93) and cerebral atherosclerosis (OR = 1.99, 95% CI 1.05-3.78), with no significant association (p >0.05) applied to peripheral arterial disease and atherosclerosis at other sites. Genetically predicted FI was positively associated with the risk of triglycerides (OR = 1.31, 95% CI 1.08-1.59), negatively associated with the risk of LDL-C (OR = 0.87, 95% CI 0.78-0.97), and showed no significant association with the risk of HDL-C (p >0.05). Furthermore, both reverse MR and multivariate MR analyses demonstrated a correlation between systemic atherosclerosis, lipids, and increased FI.

CONCLUSION

Our study elucidated that genetically predicted FI is associated with the risk of coronary atherosclerosis and cerebral atherosclerosis by the MR analysis method, and they have a bidirectional causal relationship. Moreover, genetically predicted FI was causally associated with triglyceride and LDL-C levels. Further understanding of this association is crucial for optimizing medical practice and care models specifically tailored to frail populations.

The bidirectional association between frailty index and cardiovascular disease: A Mendelian randomization study

BACKGROUND AND AIM

Observational studies have suggested a relationship between frailty and cardiovascular disease (CVD), but the causality is still uncertain. We used bidirectional Mendelian randomization (MR) design to investigate the potential causal associations between frailty and four main CVDs, including hypertension, myocardial infarction (MI), heart failure (HF), and atrial fibrillation (AF).

METHODS AND RESULTS

Independent single-nucleotide polymorphisms for frailty index (FI) and CVDs (hypertension, MI, HF, and AF) were selected as genetic instruments based on European-descent genome-wide association studies (GWASs). Summary-level data for outcomes on FI (n = 175,226), hypertension (n = 463,010), MI (n = 171,875), HF (n = 977323), and AF (n = 1,030,836) was derived from five large-scale GWASs of European ancestry. We used the inverse-variance weighted (IVW) method to examine the bidirectional associations between FI and CVDs in the main analyses. In the IVW MR analyses, genetically determined high FI was significantly associated with increased risks of hypertension (odds ratio [OR] per 1-SD increase: 1.07 [95 % confidence interval, 1.05-1.08]), MI (OR per 1-SD increase: 1.74 [1.21-2.51]), HF (OR per 1-SD increase: 1.28 [1.10-1.48]), and AF (OR per 1-SD increase: 1.20 [1.08-1.33]). In addition, genetically determined hypertension (beta: 1.406 [1.225-1.587]), MI (beta: 0.045 [0.023-0.067]), HF (beta: 0.105 [0.066-0.143]) and AF (beta: 0.021 [0.012-0.031]) were significantly associated with high FI. These findings were robustly supported by a series of sensitivity analyses with different MR models.

CONCLUSIONS

We found potential bidirectional causal associations between elevated FI and increased risks of CVD, suggesting mutual risk factors between frailty and CVD.

Utilizing multimodal approach to identify candidate pathways and biomarkers and predicting frailty syndrome in individuals from UK Biobank

Frailty, a prevalent clinical syndrome in aging adults, is characterized by poor health outcomes, represented via a standardized frailty-phenotype (FP), and Frailty Index (FI). While the relevance of the syndrome is gaining awareness, much remains unclear about its underlying biology. Further elucidation of the genetic determinants and possible underlying mechanisms may help improve patients' outcomes allowing healthy aging.Genotype, clinical and demographic data of subjects (aged 60-73 years) from UK Biobank were utilized. FP was defined on Fried's criteria. FI was calculated using electronic-health-records. Genome-wide-association-studies (GWAS) were conducted and polygenic-risk-scores (PRS) were calculated for both FP and FI. Functional analysis provided interpretations of underlying biology. Finally, machine-learning (ML) models were trained using clinical, demographic and PRS towards identifying frail from non-frail individuals.Thirty-one loci were significantly associated with FI accounting for 12% heritability. Seventeen of those were known associations for body-mass-index, coronary diseases, cholesterol-levels, and longevity, while the rest were novel. Significant genes CDKN2B and APOE, previously implicated in aging, were reported to be enriched in lipoprotein-particle-remodeling. Linkage-disequilibrium-regression identified specific regulation in limbic-system, associated with long-term memory and cognitive-function. XGboost was established as the best performing ML model with area-under-curve as 85%, sensitivity and specificity as 0.75 and 0.8, respectively.This study provides novel insights into increased vulnerability and risk stratification of frailty syndrome via a multi-modal approach. The findings suggest frailty as a highly polygenic-trait, enriched in cholesterol-remodeling and metabolism and to be genetically associated with cognitive abilities. ML models utilizing FP and FI + PRS were established that identified frailty-syndrome patients with high accuracy.

Associations between modifiable risk factors and frailty: a Mendelian randomisation study

BACKGROUND

Early identification of modifiable risk factors is essential for the prevention of frailty. This study aimed to explore the causal relationships between a spectrum of genetically predicted risk factors and frailty.

METHODS

Univariable and multivariable Mendelian randomisation (MR) analyses were performed to explore the relationships between 22 potential risk factors and frailty, using summary genome-wide association statistics. Frailty was accessed by the frailty index.

RESULTS

Genetic liability to coronary artery disease (CAD), type 2 diabetes mellitus (T2DM), ischaemic stroke, atrial fibrillation and regular smoking history, as well as genetically predicted 1-SD increase in body mass index, systolic blood pressure, diastolic blood pressure, low-density lipoprotein cholesterol, triglycerides, alcohol intake frequency and sleeplessness were significantly associated with increased risk of frailty (all p<0.001). In addition, there was a significant inverse association between genetically predicted college or university degree with risk of frailty (beta -0.474; 95% CI (-0.561 to -0.388); p<0.001), and a suggestive inverse association between high-density lipoprotein cholesterol level with risk of frailty (beta -0.032; 95% CI (-0.055 to -0.010); p=0.004). However, no significant causal associations were observed between coffee consumption, tea consumption, serum level of total testosterone, oestradiol, 25-hydroxyvitamin D, C reactive protein or moderate to vigorous physical activity level with frailty (all p>0.05). Results of the reverse directional MR suggested bidirectional causal associations between T2DM and CAD with frailty.

CONCLUSIONS

This study provided genetic evidence for the causal associations between several modifiable risk factors with lifetime frailty risk. A multidimensional approach targeting these factors may hold a promising prospect for prevention frailty.

Heart rate recovery after orthostatic challenge and cardiopulmonary exercise testing in older individuals: prospective multicentre observational cohort study

Background

Impaired vagal function in older individuals, quantified by the 'gold standard' delayed heart rate recovery after maximal exercise (HRRexercise), is an independent predictor of cardiorespiratory capacity and mortality (particularly when HRR ≤12 beats min-1). Heart rate also often declines after orthostatic challenge (HRRorthostatic), but the mechanism remains unclear. We tested whether HRRorthostatic reflects similar vagal autonomic characteristics as HRRexercise.

Methods

Prospective multicentre cohort study of subjects scheduled for cardiopulmonary exercise testing (CPET) as part of routine care. Before undergoing CPET, heart rate was measured with participants seated for 3 min, before standing for 3 min (HRRorthostatic). HRRexercise 1 min after the end of CPET was recorded. The primary outcome was the correlation between mean heart rate change every 10 s for 1 min after peak heart rate was attained on standing and after exercise for each participant. Secondary outcomes were HRRorthostatic and peak VO2 compared between individuals with HRRexercise <12 beats min-1.

Results

A total of 87 participants (mean age: 64 yr [95%CI: 61-66]; 48 (55%) females) completed both tests. Mean heart rate change every 10 s for 1 min after peak heart rate after standing and exercise was significantly correlated (R2=0.81; P<0.0001). HRRorthostatic was unchanged in individuals with HRRexercise ≤12 beats min-1 (n=27), but was lower when HRRexercise >12 beats min-1 (n=60; mean difference: 3 beats min-1 [95% confidence interval 1-5 beats min-1]; P<0.0001). Slower HRRorthostatic was associated with lower peak VO2 (mean difference: 3.7 ml kg-1 min-1 [95% confidence interval 0.7-6.8 ml kg-1 min-1]; P=0.039).

Conclusion

Prognostically significant heart rate recovery after exhaustive exercise is characterised by quantitative differences in heart rate recovery after orthostatic challenge. These data suggest that orthostatic challenge is a valid, simple test indicating vagal impairment.

Clinical trial registration

researchregistry6550.

Utility of SCORE2 risk algorithm for predicting life course accelerated frailty and physical function decline

BACKGROUND

Frailty is a dynamic process that increases with ageing, while it remains unclear whether cardiovascular disease (CVD) risk algorithm could predict life course dynamic frailty trajectories, for example, the longitudinal patterns of how frailty evolves with time. We intended to examine the predictive utility of the Systemic Coronary Risk Estimation 2 (SCORE2) algorithm for life course accelerated frailty and physical function decline, in comparison with the precedent SCORE algorithm.

METHODS

Longitudinal data regarding accumulation of deficits frailty index (FI) and physical function (grip strength, gait speed, peak expiratory flow and timed chair rises) were drawn from the English Longitudinal Study of Ageing (ELSA) and Health and Retirement Study (HRS), two nationally representative cohorts with community-dwelling adults aged ≥50 years. SCORE and SCORE2 were calculated at baselines following European Society of Cardiology guidelines. A group-based trajectory modelling approach was used for identifying potential life course frailty trajectories, based on 14- and 12-year FI data in the ELSA and HRS. Modified Poisson regression and linear mixed model were applied for analysing associations between SCORE2 with accelerated frailty trajectory and physical function decline, respectively. Receiver operating characteristic curve (ROC) analysis was conducted to evaluate predictive utility for accelerated frailty increase trajectory of SCORE and SCORE2, with the area under the curve (AUC) compared using the paired DeLong's test.

RESULTS

A total of 4834 participants from the ELSA and 7815 participants from the HRS were included (mean age: 64.0 ± 9.2 and 65.4 ± 9.9 years; men: 44.3% and 41.4%, respectively). Three frailty trajectories were consistently identified in both cohorts: (1) stable frailty increase (n = 3026 in ELSA and 4004 in HRS); (2) moderate frailty increase (n = 1325 in ELSA and 2955 in HRS); (3) accelerated frailty increase (n = 483 in ELSA and 856 in HRS). Each 10% increment in SCORE2 risk was associated with the higher risk of accelerated frailty increase (risk ratio [RR]: 3.58, 95% confidence interval [CI] [3.22, 3.98], P < 0.001 in ELSA; RR: 1.61, 95% CI [1.56, 1.67], P < 0.001 in HRS) and faster declines in all physical function measurements. SCORE2 algorithm showed good accuracy for predicting accelerated frailty increase (area under the curve [AUC] in ELSA: 0.759; HRS: 0.744), with better performance than the SCORE (AUC in ELSA: 0.729; HRS: 0.700) in both cohorts (P < 0.001 for comparison).

CONCLUSIONS

SCORE2 algorithm could serve good utility for predicting life course accelerated frailty increase and physical function decline among community-dwelling non-frail adults aged ≥50 years.

Utility of the Fatigue, Resistance, Ambulation, Illness, and Loss of weight Scale in Older Patients with Cardiovascular Disease

OBJECTIVES

To compare the Fried criteria for frailty diagnosis with the Frailty Screening Index (FSI) and the fatigue, resistance, ambulation, illness, and loss of weight (FRAIL) scale in older patients with cardiovascular disease (CVD).

DESIGN

We conducted a retrospective 1-year follow-up cohort study of adult inpatients who participated in a cardiac rehabilitation program between June 2016 and September 2018.

SETTING AND PARTICIPANTS

We included 1472 Japanese patients age 65 years and older with CVD. After excluding 765 patients with incomplete frailty measurements, 707 patients were included in the analysis.

METHODS

Frailty and physical function were measured before hospital discharge according to each of the 3 definitions. Outcomes were all-cause mortality and physical dysfunction.

RESULTS

The prevalence of frailty according to the Fried criteria, the FRAIL scale, and the FSI was 213 (30.1%), 181 (25.6%), and 186 (26.3%), respectively. The FSI and the FRAIL scale showed moderate agreement with the Fried criteria [vs FSI: K = 0.52, 95% confidence interval (CI): 0.45-0.59; vs FRAIL scale: K = 0.45, 95% CI: 0.37-0.52; all P < .001]. We found a significant correlation between all-cause mortality and frailty assessed by all of the definitions, even after multivariate adjustment [FSI: hazard ratio (HR): 2.43, 95% CI: 1.30-4.58, P = .006; FRAIL scale: HR: 2.32, 95% CI: 1.21-4.45, P = .011; Fried criteria: HR: 1.99, 95% CI: 1.04-3.82, P = .038). However, the prediction accuracy of the FRAIL scale was higher than that of the FSI and comparable to that of the Fried criteria for physical dysfunction.

CONCLUSIONS AND IMPLICATIONS

The FSI and the FRAIL scale showed moderate agreement with the Fried criteria regarding frailty diagnostic performance and had comparable prognostic value. However, only the FRAIL scale was as accurate as the Fried criteria in screening for physical dysfunction.

Physiological Systems in Promoting Frailty

Frailty is a complex syndrome affecting a growing sector of the global population as medical developments have advanced human mortality rates across the world. Our current understanding of frailty is derived from studies conducted in the laboratory as well as the clinic, which have generated largely phenotypic information. Far fewer studies have uncovered biological underpinnings driving the onset and progression of frailty, but the stage is set to advance the field with preclinical and clinical assessment tools, multiomics approaches together with physiological and biochemical methodologies. In this article, we provide comprehensive coverage of topics regarding frailty assessment, preclinical models, interventions, and challenges as well as clinical frameworks and prevalence. We also identify central biological mechanisms that may be at play including mitochondrial dysfunction, epigenetic alterations, and oxidative stress that in turn, affect metabolism, stress responses, and endocrine and neuromuscular systems. We review the role of metabolic syndrome, insulin resistance and visceral obesity, focusing on glucose homeostasis, adenosine monophosphate-activated protein kinase (AMPK), mammalian target of rapamycin (mTOR), and nicotinamide adenine dinucleotide (NAD+ ) as critical players influencing the age-related loss of health. We further focus on how immunometabolic dysfunction associates with oxidative stress in promoting sarcopenia, a key contributor to slowness, weakness, and fatigue. We explore the biological mechanisms involved in stem cell exhaustion that affect regeneration and may contribute to the frailty-associated decline in resilience and adaptation to stress. Together, an overview of the interplay of aging biology with genetic, lifestyle, and environmental factors that contribute to frailty, as well as potential therapeutic targets to lower risk and slow the progression of ongoing disease is covered. © 2022 American Physiological Society. Compr Physiol 12:1-46, 2022.

Cardiovascular risk score associations with frailty in men and women with or at risk for HIV

OBJECTIVE

To understand the relationship between cardiovascular disease (CVD) risk and frailty among men (MWH) and women living with HIV (WWH), or at risk for HIV.

DESIGN

We considered 10-year coronary heart disease and atherosclerotic CVD risk by Framingham risk score (FRS, 2001 National Cholesterol Education Program Adult Treatment Program III) and Pooled Cohort Equations (PCE, 2013 American College of Cardiology/American Heart Association) in relation to the Fried Frailty Phenotype (FFP) in the Multicenter AIDS Cohort Study (MACS) and Women's Interagency HIV Study (WIHS).

METHODS

FFP was ascertained in MACS from 2004 to 2019 and in WIHS from 2005 to 2006 and 2011-2019. FFP score at least three of five components defined frailty. Repeated measures logistic regression (both cohorts) and Cox proportional hazards regression (MACS) were performed, controlled for education, income, cholesterol medication and hepatitis C virus serostatus, and among MWH and WWH, CD4+ cell count/μl, antiretroviral therapy, and HIV viral load.

RESULTS

There were 5554 participants (1265 HIV seronegative/1396 MWH; 768 seronegative/1924 WWH) included. Among men, high-risk FRS was associated with increased risk of incident frailty among seronegative [adjusted hazard ratio (aHR)) = 2.12, 95% confidence interval (CI):1.22-3.69] and MWH (aHR = 2.19, 95% CI: 1.33-3.61). Similar associations were seen with high-risk PCE and incident frailty among SN (aHR = 1.88, 95% CI: 1.48-2.39) and MWH (aHR = 1.59, 95% CI: 1.26-2.00). Among women, high-risk PCE was associated with frailty in SN [adjusted odds ratio (aOR) = 1.43, 95% CI: 1.02-2.00] and WWH (aOR = 1.36, 95% CI: 1.08-1.71); however, high-risk FRS was not (seronegative: aOR = 1.03, 95% CI: 0.30-3.49; WWH: aOR = 0.86, 95% CI: 0.23-3.20).

CONCLUSION

Higher CVD risk was associated with increased frailty regardless of HIV serostatus among men and women. These findings may inform clinical practices of screening for frailty.

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

OBJECTIVE

To investigate the association between sleep duration and cognitive frailty among older adults dwelling in western China.

METHODS

We used the baseline data from West China Health and Aging Trend (WCHAT) study. Sleep duration was classified as short sleep duration (< 6 h), normal sleep duration (6-8 h) and long sleep duration (≥ 9 h). Fried frailty criteria and Short Portable Mental Status Questionnaire were used to measure cognitive frailty. Multinomial logistic regression was conducted to estimate odds ratio (OR) and 95% confidence interval (CI).

RESULTS

A total of 4093 older adults (age = 67.8 ± 5.9 years, 1708 males and 2385 females) were included in the analysis. The prevalence of cognitive frailty was 11.8% among older adults in western China. Approximately 11.9% participants had short sleep duration (< 6 h); 22.2% had a long sleep duration (≥ 9 h). After adjusting for covariates, only long sleep duration was significantly associated with high risk of cognitive frailty (OR = 2.07, 95%CI = 1.60-2.68, P <  0.001) in western China older adults compared to normal sleep duration.

CONCLUSIONS

Long sleep duration was significantly related to cognitive frailty in older adults. Intervention for long sleep duration may be helpful to prevent cognitive frailty.

TRIAL REGISTRATION

Chinese Clinical Trial Registry: ChiCTR1800018895 .

Epigenetic age is associated with baseline and 3-year change in frailty in the Canadian Longitudinal Study on Aging

BACKGROUND

The trajectory of frailty in older adults is important to public health; therefore, markers that may help predict this and other important outcomes could be beneficial. Epigenetic clocks have been developed and are associated with various health-related outcomes and sociodemographic factors, but associations with frailty are poorly described. Further, it is uncertain whether newer generations of epigenetic clocks, trained on variables other than chronological age, would be more strongly associated with frailty than earlier developed clocks. Using data from the Canadian Longitudinal Study on Aging (CLSA), we tested the hypothesis that clocks trained on phenotypic markers of health or mortality (i.e., Dunedin PoAm, GrimAge, PhenoAge and Zhang in Nat Commun 8:14617, 2017) would best predict changes in a 76-item frailty index (FI) over a 3-year interval, as compared to clocks trained on chronological age (i.e., Hannum in Mol Cell 49:359-367, 2013, Horvath in Genome Biol 14:R115, 2013, Lin in Aging 8:394-401, 2016, and Yang Genome Biol 17:205, 2016).

RESULTS

We show that in 1446 participants, phenotype/mortality-trained clocks outperformed age-trained clocks with regard to the association with baseline frailty (mean = 0.141, SD = 0.075), the greatest of which is GrimAge, where a 1-SD increase in ΔGrimAge (i.e., the difference from chronological age) was associated with a 0.020 increase in frailty (95% CI 0.016, 0.024), or ~ 27% relative to the SD in frailty. Only GrimAge and Hannum (Mol Cell 49:359-367, 2013) were significantly associated with change in frailty over time, where a 1-SD increase in ΔGrimAge and ΔHannum 2013 was associated with a 0.0030 (95% CI 0.0007, 0.0050) and 0.0028 (95% CI 0.0007, 0.0050) increase over 3 years, respectively, or ~ 7% relative to the SD in frailty change.

CONCLUSION

Both prevalence and change in frailty are associated with increased epigenetic age. However, not all clocks are equally sensitive to these outcomes and depend on their underlying relationship with chronological age, healthspan and lifespan. Certain clocks were significantly associated with relatively short-term changes in frailty, thereby supporting their utility in initiatives and interventions to promote healthy aging.

Early-Life Socioeconomic Position and the Accumulation of Health-Related Deficits by Midlife in the 1958 British Birth Cohort Study

Reducing population levels of frailty is an important goal, and preventing its development in midadulthood could be pivotal. There is limited evidence on associations between childhood socioeconomic position (SEP) and frailty. Using data on the 1958 British birth cohort (followed from 1958 to 2016; n = 8,711), we aimed to 1) establish the utility of measuring frailty in midlife, by examining associations between a 34-item frailty index at age 50 years (FI_50y) and mortality at ages 50–58 years, and 2) examine associations between early-life SEP and FI_50y and investigate whether these associations were explained by adult SEP. Hazard ratios for mortality increased with increasing frailty; for example, the sex-adjusted hazard ratio for the highest quintile of FI_50y versus the lowest was 4.07 (95% confidence interval (CI): 2.64, 6.25). Lower early-life SEP was associated with higher FI_50y. Compared with participants born in the highest social class, the estimated total effect on FI_50y was 42.0% (95% CI: 35.5, 48.4) for participants born in the lowest class, with the proportion mediated by adult SEP being 0.45% (95% CI: 0.35, 0.55). Mediation by adult SEP was negligible for other early-life SEP classes. Findings suggest that early-life SEP is associated with frailty and that adult SEP only partially explains this association. Results highlight the importance of improving socioeconomic circumstances across the life course to reduce inequalities in midlife frailty.

Homocysteine and C-Reactive Protein Levels Are Associated With Frailty in Older Spaniards: The Toledo Study for Healthy Aging

High-sensitivity C-reactive protein (hsCRP) and homocysteine (Hcy) are inflammation markers but are also related to cardiovascular diseases, disability, or higher risk of death. Although inflammation is considered to be associated with frailty, data regarding the association between hsCRP or Hcy and frailty are controversial or scarce, especially with respect to their association with prefrailty. Thus, our objective was to study the association of hsCRP and Hcy with prefrailty and frailty in 1,211 Spanish men and women aged 65-98 years from the Toledo Study for Healthy Aging (TSHA) cohort, classified according to Fried's criteria. Hcy was independently associated with frailty (odds ratio [OR] = 1.06; 95% confidence interval [CI]: 1.01-1.12), whereas hsCRP was independently associated with both prefrailty (OR = 1.03; 95% CI: 1.01-1.06) and frailty (OR = 1.07; 95% CI: 1.02-1.12). Furthermore, both markers were positively correlated with the number of Fried's criteria that were met and were independently associated with the criteria of exhaustion (Hcy: OR = 1.03, 95% CI: 1.00-1.06), weakness (hsCRP: OR = 1.03, 95% CI: 1.01-1.05), and low physical activity (hsCRP: OR = 1.04, 95% CI: 1.02-1.06). Thus, our results highlight the importance of inflammation in age-related physical decline and, in particular, its association with fatigue, low strength, and decreased physical activity.

Association between falls and cardiovascular diseases in the geriatric population

Objective

To determine the association of cardiovascular diseases with falls in the geriatric population.

Methods

Original, Transversal and analytical study. Elderly patients who attend the external consultation of the Geriatrics service, older than 65 years, with falls history, perform comprehensive geriatric assessment to indentify causes of falls in the period from March 2018 to June 2019. We perform measures of central tendency, chi-square test X2 for qualitative variables, we performed linear regression model.

Results

A total of 669 patients were included, the analysis shows association with frailty [OR 1.65 (95% CI 1.37-3.77), p <0.05], Heart Failure [OR 1.02, (95% CI, 0.68 - 1.54), p < 0.05 ], the logistic regression analysis with the variables (Fragility, SAH, es: DM2, AMI, Stroke, AF, postural hypotensive syncope, Hypothyroidism, Dyslipidemia, and HF) shows that the probability of falling is 57%.

Conclusion

Cardiovascular diseases have a high prevalence in the population studied and increase the risk of falls. Individually analyzed cardiovascular diseases do not show an association with the syndrome of falls in the elderly, except for frailty, which proved to be an independent factor that increases the risk of falls with an OR 1.65. When analyzing them together, the risk of falling increases up to 57%. It is necessary to correctly identify and treat cardiovascular diseases in the elderly.

Frailty Syndrome among oldest old Individuals, aged ≥80 years: Prevalence & Correlates

OBJECTIVES

Objectives were to study prevalence of frailty among Indian oldest old population, and to detect its correlates.

METHODS

A cross sectional community based study was done including 200 healthy participants aged ≥80 years, randomly sampled from Hyderabad city in India. They completed an administered questionnaire and physical function tests including SPPB, grip strength. Cognitive function was assessed using MMSE and depression using GDS. Blood pressure, haemoglobin, and fasting blood sugar were measured for all participants. Frailty was defined using Fried phenotype criteria. Logistic regression was done to identify independently associated correlates.

RESULTS

The prevalence of frailty syndrome was 83.4% in our study population. Frailty among men was 80.3% and among women was 84.7%, and it increased with increasing age. The independent correlates which increased the odds of frailty were poor physical performance (SPPB) (OR: 4.21; 95% CI: 1.12-15.83), depression (OR: 3.35; 95% CI: 1.29-8.73), chronic joint pains (OR: 4.90; 95% CI: 1.97-12.18) and COPD (OR: 3.01; 95% CI: 1.03- 8.78), while hypertension showed inverse association (OR: 0.33;95% CI: 0.11-0.94).

CONCLUSION

The prevalence of frailty among the oldest old is very high. Geriatric medicine protocols must include routine screening for frailty, while also including early detection of poor physical performance, depression, COPD and osteoarthritis.

Frailty status and cardiovascular disease risk profile in middle-aged and older females

OBJECTIVE

Frailty and pre-frailty are known to increase the risk of developing cardiovascular disease (CVD). However, the risk profiles of females are not well characterized. The aim of this study is to characterize the CVD risk profiles of robust, pre-frail and frail females.

METHODS

Cross-sectional analysis of 985 females ≥55 years with no self-reported history of CVD were recruited. Frailty was assessed using the Fried Criteria with the cut-points standardized to the cohort. Framingham risk scores (FRS), the 4-test Rasmussen Disease Score (RDS), and the CANHEART health index were used to characterize composite CVD risk. Individual measures of CVD risk included blood lipids, artery elasticity assessments, exercise blood pressure response, 6-min walk test (6MWT), sedentary time and PHQ-9 score.

RESULTS

The cohort comprised of 458 (46.4%) robust, 464 (47.1%) pre-frail and 63 (6.4%) frail females with a mean age of 66 ± 6 (SD) years. Pre-frail females were at increased odds of taking diabetes medications (OR 3.04; 95% CI 1.27-7.27), hypertension medications (OR 2.02; 95% CI 1.44-2.82), having an exaggerated blood pressure response to exercise (OR 1.878; 95% CI 1.39-2.50), mild depression symptoms (OR 2.38; 95% CI 1.68-338), and lower fitness as assessed by 6MWT (OR 5.74; 95% CI 3.18-10.37), even after controlling for age and relevant medications. Pre-frail females were also at increased odds for having CVD risk scores indicating higher risk with the FRS (OR 1.52; 95% CI 1.12-2.05), the RDS (OR 1.60; 95% CI 1.21-2.10) and the CANHEART risk score (OR 3.07; 95% CI 2.04-4.62). These odds were higher when frail females were compared to their robust peers.

CONCLUSION

Frailty and pre-frailty were associated with higher odds of presenting with CVD risk factors as compared to robust females, even after controlling for age.

Translating Frailty Assessment Methodologies and Research-based Evidence to Clinical Education and Practice

Frailty is a common clinical syndrome that predisposes older adults to an increased risk of adverse health outcomes. With population aging, this will become an increasing challenge for the healthcare services; therefore, different models of healthcare training and provision are required to address these increasing demands. In Ireland, the National Clinical Programme for Older People (NCPOP) has partnered with The Irish Longitudinal Study on Ageing (TILDA) to deliver the National Frailty Education Programme. This demonstrates an innovative way in which evidence-based longitudinal research can be translated into clinical education and practice to improve patient care, following a Knowledge to Action (KTA) process. To the authors' knowledge, it is the first time that a longitudinal research study such as TILDA has employed such methods of translation and therefore, this collaboration could serve as an international model of translation and implementation for frailty and other areas of clinical priority.

Cardiovascular risk profile and frailty in Japanese outpatients: the Nambu Cohort Study

Epidemiologic findings indicate that unfavorable cardiovascular (CV) risk profiles, such as elevated systolic blood pressure (SBP), low-density lipoprotein cholesterol (LDL-C), and overweight, decelerate with aging. Few studies, however, have evaluated the association between the CV risk profile and frailty. We performed a cross-sectional analysis using the baseline data of a prospective cohort study. A total of 599 subjects (age, 78 [range: 70-83] years; men, 50%) were analyzed in an outpatient setting. Frailty was diagnosed in 37% of the patients according to the Kihon Checklist score. An unfavorable CV risk profile was associated with a lower risk of frailty. The adjusted odds ratios (ORs; 95% confidence interval [CI]) of each CV risk factor for frailty were as follows: SBP (each 10 mmHg increase) 0.83 (0.72-0.95), LDL-C (each 10 mg/dl increase) 0.96 (0.86-1.05), and body mass index (each 1 kg/m² increase) 1.03 (0.97-1.10). Moreover, the total number of CV risk factors within the optimal range was significantly associated with the risk of frailty with the following ORs (95% CI): 1, 2.30 (0.75-8.69); 2, 3.22 (1.07-11.97); and 3, 4.79 (1.56-18.05) compared with patients having no risk factors within optimal levels (p for trend 0.008). Abnormal homeostasis might lead to lower levels of CV risk factors, which together result in "reverse metabolic syndrome." Our findings indicate that a favorable CV risk profile is associated with frailty.

Risk Factors for Frailty and Cardiovascular Diseases: Are They the Same?

Cardiovascular disease burden increases with the increasing age of populations. Also, with increasing longevity, some individuals are ageing along an unfavourable path developing frailty syndrome. Epidemiologic studies indicate that frailty is overrepresented among the persons with cardiovascular disease. On the other hand, frail subjects tend to be burdened with cardiovascular disease to a greater degree than their biologically better-off peers. Hypertension, diabetes, and obesity, especially abdominal, and at least some other risk factors appear to be shared between frailty and cardiovascular disease. The probable common underlying pathophysiologic feature is inflammation and associated phenomena, possibly having its root in the inflammageing. We discuss these issues based on the results of original studies, comprehensive literature reviews, and metaanalyses, by hundreds of dedicated researchers worldwide.

Effectiveness of a community-based self-care promoting program for community-dwelling older adults: a randomized controlled trial

BACKGROUND

The existing health care system tends to be focused on acute diseases or patients with high levels of need and is not ideal for meeting the challenges of an ageing population. This study introduced a community-based self-care promoting program for community-dwelling older adults, and tested its effects on maintaining health.

OBJECTIVES

To determine whether the program can increase self-efficacy, quality of life (QoL), basic and instrumental activities of daily living, and medication adherence, while reducing health service utilization for community-dwelling older adults.

METHODS

Researchers randomly assigned 457 older adults to receive the intervention (n = 230) or be controls (n = 227). The intervention included assessment and education of self-care and health-promoting behaviors, co-produced care planning and self-efficacy enhancing components supported by a health-social partnership. The control group received placebo social calls. The outcomes were measured at pre-intervention (T1) and three months post-intervention (T2).

RESULTS

Analysis showed that the intervention group had a significantly higher score in self-efficacy (P = 0.049), activities of daily living (ADL) (P = 0.012), instrumental activities of daily living (IADL) (P = 0.021) and the physical components of QoL (P < 0.001) at T2 than at T1. The program also significantly improved the mental component of QoL (P < 0.001) and medication adherence (P < 0.001), as well as reducing the total number of health service attendances compared to the control group (P = 0.016).

CONCLUSION

The program can help enhance the self-efficacy of community-dwelling older adults towards self-care, which may in turn enable them to maintain optimal well-being while remaining in the community.