Cardiovascular risk profile and frailty in a population-based study of older British men

Cardiovascular risk factors among older persons with cognitive frailty in middle income country

BACKGROUND

Cognitive frailty, characterized by the coexistence of cognitive impairment and physical frailty, represents a multifaceted challenge in the aging population. The role of cardiovascular risk factors in this complex interplay is not yet fully understood.

AIM

To investigate the relationships between cardiovascular risk factors and older persons with cognitive frailty by pooling data from two cohorts of studies in Malaysia.

METHODS

A comprehensive approach was employed, with a total of 512 community-dwelling older persons aged 60 years and above, involving two cohorts of older persons from previous studies. Datasets related to cardiovascular risks, namely sociodemographic factors, and cardiovascular risk factors, including hypertension, diabetes, hypercholesterolemia, anthropometric characteristics and biochemical profiles, were pooled for analysis. Cognitive frailty was defined based on the Clinical Dementia Rating scale and Fried frailty score. Cardiovascular risk was determined using Framingham risk score. Statistical analyses were conducted using SPSS version 21.

RESULTS

Of the study participants, 46.3% exhibited cognitive frailty. Cardiovascular risk factors including hypertension (OR:1.60; 95%CI: 1.12-2.30), low fat-free mass (OR:0.96; 95%CI: 0.94-0.98), high percentage body fat (OR:1.04; 95%CI: 1.02-1.06), high waist circumference (OR:1.02; 95%CI: 1.01-1.04), high fasting blood glucose (OR:1.64; 95%CI: 1.11-2.43), high Framingham risk score (OR:1.65; 95%CI: 1.17-2.31), together with sociodemographic factors, i.e., being single (OR 3.38; 95%CI: 2.26-5.05) and low household income (OR 2.18; 95%CI: 1.44-3.30) were found to be associated with cognitive frailty.

CONCLUSION

Cardiovascular-risk specific risk factors and sociodemographic factors were associated with risk of cognitive frailty, a prodromal stage of dementia. Early identification and management of cardiovascular risk factors, particularly among specific group of the population might mitigate the risk of cognitive frailty, hence preventing dementia.

Predictive ability of both the healthy aging index and the frailty index for all-cause mortality

AIM

We aimed to develop and assess a modified healthy aging index (HAI) among Chileans aged 60 years and older and compare its predictive ability for all-cause mortality risk with the frailty index (FI).

METHODS

This prospective study analyzed data from the Chilean National Health Survey (CNHS) conducted in 2009-2010. We included 847 adults with complete data to construct the HAI and FI. The HAI comprised five indicators (lung function, systolic blood pressure, fasting glucose, cognitive status, and glomerular filtration rate), while the FI assessed frailty using a 36-item scale. HAI scores were calculated by summing the indicator scores, ranging from 0 to 10, with higher scores indicating poorer health. Receiver operating curves (ROC) and area under the curve (AUC) were used to assess predictive validity. Associations with all-cause mortality were assessed using Cox proportional hazard models adjusted by confounders.

RESULTS

The mean HAI score was 4.06, while the FI score was 0.24. The AUC for mortality was higher for the HAI than the FI (0.640, 95% confidence interval (CI) 0.601 to 0.679 vs. 0.586, 95% CI 0.545 to 0.627). After adjusting for confounders, the FI showed a higher mortality risk compared to the HAI (2.63, 95% CI 1.76 to 3.51 vs. 1.16, 95% CI 1.08 to 1.26).

CONCLUSION

The FI and HAI were valid predictors for all-cause mortality in the Chilean population. Integrating these indices into research and clinical practice can significantly enhance our capacity to identify at-risk individuals.

Association between frailty and detrusor overactivity with detrusor underactivity in older women

PURPOSE

While detrusor overactivity (DO) with detrusor underactivity (DU) (DO-DU) has been described as typical of aging, the pathogenesis of DO-DU is highly multifactorial, and often thought to involve medical conditions beyond the urinary tract. We aimed to explore potential associations between idiopathic DO-DU and frailty in older women after accounting for age.

METHODS

The design of the study is a cross-sectional single-center study, in an outpatient urodynamic unit specializing in geriatrics. Participants are consecutive female patients aged ≥65 years without contributory neurological conditions or bladder outlet obstruction who completed a comprehensive geriatric assessment followed by urodynamic evaluation from 2015 to 2019. Participants were categorized as having DO, DU, combined DO-DU, or a negative study. Multinomial logistic regression analysis was used to assess the relationship between urodynamic outcomes and frailty, as quantified using the Frailty index (FI).

RESULTS

Ninety-five patients were included (median age 78 [interquartile range: 70-83] years), among whom 29% had combined DO-DU. The median FI score was 0.27 (0.2-0.32) (5-12). A higher FI was associated with significantly greater age-adjusted odds of DO-DU when either DU or subjects with a negative urodynamic assessment were used as the reference group. Age was not significantly associated with DO-DU across all multivariable analyses.

CONCLUSION

A higher FI was associated with an increased likelihood of DO-DU, which could not be attributed to the effect of age alone. The pathogenesis of DO-DU is likely more complex than chronological aging in and of itself and merits further study.

Prevalence and population characteristics associated with frailty in a rural low socioeconomic area in Denmark: the Lolland-Falster Health Study

BACKGROUND

Frailty is a major geriatric syndrome that predicts increased vulnerability to minor stressor events and adverse outcomes such as falls, fractures, disability and death. The prevalence of frailty among individuals above the age of 65 varies widely with an overall weighted prevalence of 10.7%.

OBJECTIVES

The purpose of this study was to examine the prevalence of prefrailty and frailty in community-dwelling older adults from the regions of Lolland-Falster, which is one of the most socioeconomically disadvantaged areas of Denmark with lower income and lower life expectancy compared with the general Danish population. Moreover, the objective was to find selected individual characteristics associated with frailty.

DESIGN

An observational, cross-sectional registry-based population study with data from the regions of Lolland-Falster collected between February 2016 and February 2020.

RESULTS

The study included 19 000 individuals. There were 10 154 above the age of 50 included for analysis. Prevalence of frailty in the age group of 50-64 years was 4.7% and 8.7% in the age group of 65 years and above.The study demonstrates associations between frailty and high age, female gender, low education level, low income, smoking, living alone, frequency of seeing one's children and getting help when needed. These associations are comparable with findings from other studies.

CONCLUSION

The syndrome of frailty consists of not only physiological and medical issues but also education, life conditions such as living alone and living in poverty and how you evaluate your own health.

Frailty and Cardiovascular Outcomes in Adults With CKD: Findings From the Chronic Renal Insufficiency Cohort (CRIC) Study

RATIONALE & OBJECTIVE

Frailty is common in individuals with chronic kidney disease (CKD) and increases the risk of adverse outcomes in adults with kidney failure requiring dialysis. However, this relationship has not been thoroughly evaluated among those with non-dialysis-dependent CKD.

STUDY DESIGN

Prospective cohort study.

SETTING & PARTICIPANTS

2,539 adults in the Chronic Renal Insufficiency Cohort Study.

EXPOSURE

Frailty status assessed using 5 criteria: slow gait speed, muscle weakness, low physical activity, exhaustion, and unintentional weight loss.

OUTCOME

Atherosclerotic events, incident heart failure, all-cause death, and cardiovascular death.

ANALYTICAL APPROACH

Cause-specific hazards models.

RESULTS

At study entry, the participants' mean age was 62 years, 46% were female, the mean estimated glomerular filtration rate was 45.4mL/min/1.73m2, and the median urine protein was 0.2mg/day. Frailty status was as follows: 12% frail, 51% prefrail, and 37% nonfrail. Over a median follow-up of 11.4 years, there were 393 atherosclerotic events, 413 heart failure events, 497 deaths, and 132 cardiovascular deaths. In multivariable regression analyses, compared with nonfrailty, both frailty and prefrailty status were each associated with higher risk of an atherosclerotic event (HR, 2.03 [95% CI, 1.41-2.91] and 1.77 [95% CI, 1.35-2.31], respectively) and incident heart failure (HR, 2.22 [95% CI, 1.59-3.10] and 1.39 [95% CI, 1.07-1.82], respectively), as well as higher risk of all-cause death (HR, 2.52 [95% CI, 1.84-3.45] and 1.76 [95% CI, 1.37-2.24], respectively) and cardiovascular death (HR, 3.01 [95% CI, 1.62-5.62] and 1.78 [95% 1.06-2.99], respectively).

LIMITATIONS

Self-report of aspects of the frailty assessment and comorbidities, which may have led to bias in some estimates.

CONCLUSIONS

In adults with CKD, frailty status was associated with higher risk of cardiovascular events and mortality. Future studies are needed to evaluate the impact of interventions to reduce frailty on cardiovascular outcomes in this population.

PLAIN-LANGUAGE SUMMARY

Frailty is common in individuals with chronic kidney disease (CKD) and increases the risk of adverse outcomes. We sought to evaluate the association of frailty status with cardiovascular events and death in adults with CKD. Frailty was assessed according to the 5 phenotypic criteria detailed by Fried and colleagues. Among 2,539 participants in the CRIC Study, we found that 12% were frail, 51% were prefrail, and 37% were nonfrail. Frailty status was associated with an increased risk of atherosclerotic events, incident heart failure, and death.

Association of changes in frailty status with the risk of all-cause mortality and cardiovascular death in older people: results from the Chinese Longitudinal Healthy Longevity Survey (CLHLS)

BACKGROUND

Few studies have investigated the association between changes in frailty status and all-cause mortality, inconsistent results were reported. What's more, studies that evaluated the effect of changes of frailty on cardiovascular death in older population are scanty. Therefore, the present study aims to investigate the association of such changes with the risk of all-cause mortality and cardiovascular death in older people, using data from the Chinese Longitudinal Healthy Longevity Survey (CLHLS).

METHODS

A total of 2805 older participants from two consecutive waves (i.e. 2011 and 2014) of the CLHLS were included for analysis. Based on the changes in frailty status from wave 2011 to wave 2014, participants were categorized into 4 subgroups, including sustained pre/frailty, robustness to pre/frailty, pre/frailty to robustness and sustained robustness. Study outcomes were all-cause mortality and cardiovascular death, and Cox regression analysis examined the association of changes in frailty status with outcomes.

RESULTS

From wave 2011 to wave 2014, 33.2% of the participants had frailty transitions. From wave 2014 to wave 2018, there were 952 all-cause mortalities and 170 cardiovascular deaths during a follow-up of 9530.1 person-years, and Kaplan-Meier analysis demonstrated that cumulative incidences of the two outcomes were significantly lower in more robust participants (all log-rank p < 0.001). Compared with the subgroup of sustained pre/frailty, the fully adjusted HRs of all-cause mortality were 0.61 (95% CI: 0.51-0.73, p < 0.001), 0.51 (95% CI: 0.42-0.63, p < 0.001) and 0.41 (0.34-0.49, p < 0.001) in the subgroup of robustness to pre/frailty, the subgroup of pre/frailty to robustness, and the subgroup of sustained robustness, respectively. The fully adjusted HRs of cardiovascular death were 0.79 (95% CI: 0.52-1.19, p = 0.256) in the subgroup of robustness to pre/frailty, 0.45 (95% CI: 0.26-0.76, p = 0.003) in the subgroup of pre/frailty to robustness and 0.51 (0.33-0.78, p = 0.002) in the subgroup of sustained robustness when comparing to the subgroup of sustained pre/frailty, respectively. Stratified analysis and extensive sensitivity analyses revealed similar results.

CONCLUSIONS

Frailty is a dynamic process, and improved frailty and remaining robust are significantly associated with lower risk of all-cause mortality and cardiovascular death in older people.

Association of Sitting Time With All-Cause and Cardiovascular Mortality: How Does Frailty Modify This Association?

To investigate how frailty modifies the association of sitting time with all-cause and cardiovascular mortality in Chilean adults. This prospective study included 2,604 participants aged ≥35 from the Chilean National Health Survey 2009-2010. Sitting time was self-reported, while frailty was assessed using a 36-item Frailty Index. Sitting time was categorized as low, medium, and high. Cox proportional hazard models were used to estimate the risk of mortality stratified for the sitting time categories. Over a median follow-up of 8.9 years, 311 participants died, 28% of them due to cardiovascular events. Frail people with prolonged sitting time were at higher risk of all-cause and cardiovascular mortality (hazard ratio 3.13; 95% confidence interval [2.06, 4.71] and hazard ratio 2.41; 95% confidence interval [1.50, 3.64], respectively). The observed risk was higher in women than men. Public health and individual strategies should be implemented to decrease sitting time across the population, with special attention on frail people.

Obesity, birth weight, and lifestyle factors for frailty: a Mendelian randomization study

Obesity, birth weight and lifestyle factors have been found associated with the risk of frailty in observational studies, but whether these associations are causal is uncertain. We conducted a two-sample Mendelian randomization study to investigate the associations. Genetic instruments associated with the exposures at the genome-wide significance level (p < 5 × 10-8) were selected from corresponding genome-wide association studies (n = 143,677 to 703,901 individuals). Summary-level data for the frailty index were obtained from the UK Biobank (n = 164,610) and Swedish TwinGene (n = 10,616). The β of the frailty index was 0.15 (p = 3.88 × 10-9) for 1 standard deviation increase in the prevalence of smoking initiation, 0.19 (p = 3.54 × 10-15) for leisure screen time, 0.13 (p = 5.26 × 10-7) for body mass index and 0.13 (p = 1.80 × 10-4) for waist circumference. There was a suggestive association between genetically predicted higher birth weight and moderate-to-vigorous intensity physical activity with the decreased risk of the frailty index. We observed no causal association between genetically predicted age of smoking initiation and alcoholic drinks per week with the frailty index. This study supports the causal roles of smoking initiation, leisure screen time, overall obesity, and abdominal obesity in frailty. The possible association between higher birth weight, proper physical activity and a decreased risk of frailty needs further confirmation.

Impact of Frailty on Emergency Department Encounters for Cardiovascular Disease: A Retrospective Cohort Study

Data are limited on whether the causes of emergency department (ED) encounters for cardiovascular diseases (CVDs) and associated clinical outcomes vary by frailty status. Using the United States Nationwide ED Sample, selected CVD encounters (acute myocardial infarction [AMI], ischemic stroke, atrial fibrillation [AF], heart failure [HF], pulmonary embolism, cardiac arrest, and hemorrhagic stroke) were stratified by hospital frailty risk score (HFRS). Logistic regression was used to determine the adjusted odds ratios (aORs) and 95% confidence intervals (CIs) of ED mortality among the different frailty groups. A total of 8,577,028 selected CVD ED encounters were included. A total of 5,120,843 (59.7%) had a low HFRS (<5), 3,041,699 (35.5%) had an intermediate HFRS (5 to 15), and 414,485 (4.8%) had a high HFRS (>15). Ischemic stroke was the most common reason for the encounter in the high HFRS group (66.9%), followed by hemorrhagic stroke (11.7%) and AMI (7.2%). For the low HFRS group, AF was the most common reason for the encounter (30.2%), followed by AMI (23.6%) and HF (16.8%). Compared with the low-risk group, high-risk patients had a decreased ED mortality and an increased overall mortality across most CVD encounters (p <0.001). The strongest association with overall mortality was observed among patients with a high HFRS admitted for AF (aOR 27.14, 95% CI 25.03 to 29.43) and HF (aOR 13.71, 95% CI 12.95 to 14.51) compared with their low-risk counterparts. In conclusion, patients presenting to the ED with acute CVD have a significant frailty burden, with different patterns of CVD according to frailty status. Frailty is associated with an increased all-cause mortality in patients for most CVD encounters.

Frailty, an Independent Risk Factor in Progression Trajectory of Cardiometabolic Multimorbidity: A Prospective Study of UK Biobank

BACKGROUND

Although frailty was associated with cardiometabolic diseases (CMDs, including coronary heart disease, stroke, and diabetes here), there was no systematic analyses estimating its role in incidence, progression, and prognosis of cardiometabolic multimorbidity (CMM).

METHODS

We included 351 205 participants without CMDs at baseline in UK Biobank. Occurrences of first CMD, CMM, and death were recorded. We used multistate models to assess transition-specific role of baseline frailty measured by frailty phenotype and frailty index in CMM progression trajectory from no disease to single CMD, CMM, and death. Association between changes in frailty and outcomes was investigated among 17 264 participants.

RESULTS

Among 351 205 participants (44.0% male, mean age 56.55 years), 8 190 (2.3%) had frail phenotype, and 13 615 (3.9%) were moderate/severe frail according to the frailty index. During median follow-up of 13.11 years, 41 558 participants experienced ≥1 CMD, 4 952 had CMM, and 20 670 died. In multistate models, frail phenotype-related hazard ratios were 1.94 and 2.69 for transitions from no CMD to single disease and death, 1.63 and 1.67 for transitions from single CMD to CMM and death, and 1.57 for transitions from CMM to death (all p < .001). Consistent results were observed for frailty index. Improvement of frailty reduced the risk of CMD progression and death.

CONCLUSIONS

Frailty is an independent risk factor for all transitions of CMM progression trajectory. Frailty-targeted management is a potential strategy for primary and secondary prevention of CMM beyond chronological age.

Predictive Biochemical Model of Frailty and Mortality After Acute Myocardial Infarction

Frailty, characterized by reduced resistance to stressors, is associated with adverse outcomes in patients with myocardial infarction. The Fried score is commonly used to assess frailty but has several limitations. This study aimed to evaluate the relation between frailty and blood biomarkers and their predictive value for long-term mortality using a biochemical model. A total of 2 cohorts of elderly patients (>65 years old) hospitalized for acute coronary syndrome were included. Geriatric assessments and several blood biomarkers were measured. The predictive models for frailty were developed using logistic regression. The survival models were also developed using Cox regression. Among 466 patients, 9 biomarkers were significantly associated with frailty. Between these biomarkers, white blood cells count, hemoglobin, and fibrinogen showed the highest predictive power. Model 1, without growth differentiation factor 15 (GDF-15), showed a better accuracy in predicting the mortality than the Fried score. Model 2, with GDF-15, had a stronger correlation with frailty but had a lower predictive power for survival. Frailty is associated with dysregulation in the physiological systems and several biomarkers were linked to this fact in our study. However, the inclusion of GDF-15 did not significantly improve the model's predictive ability. Frailty assessment using blood biomarkers can provide valuable prognostic information in elderly patients with acute coronary syndrome.

Cholesterol alone or in combination is associated with frailty among community-dwelling older adults: A cross-sectional study

BACKGROUND

Biological markers contribute to the precise intervention across the continuum of frailty severity. Few studies have explored the advantages of biological markers collected as part of primary care data among community-dwelling older adult population and controversy remains regarding the classic biological markers for frailty.

METHODS

We recruited a total of 8791 adults with a mean age of 71.95 years who met the inclusion and exclusion criteria in Guancheng District and Dalang Town, Dongguan, China. Frailty was assessed by a Chinese frailty evaluation scale. Frailty status was classified with 33-item modified frailty index and latent class analysis was applied to explore the latent classes (subtypes) of frailty. We measured biological markers on blood samples collected. We identify association between specific biological markers or patterns and frailty by logistic regression and association rule mining (ARM) based on the Apriori algorithm.

RESULTS

Multivariable analysis of our data showed that an elevated white blood cell (WBC) count and high cholesterol (CHOL) level were associated with pre-frailty (adjusted odds ratio [aOR] = 1.231, 95 % confidence interval [CI] = 1.009-1.501; aOR = 0.703, 95 % CI = 0.623-0.793) and frailty (aOR = 1.500, 95 % CI = 1.130-1.993; aOR = 0.561, 95 % CI = 0.461-0.684) compared with the normal groups. Importantly, significantly high level of CHOL was associated with a lower risk of four frailty subtypes compared with relatively healthy participants with the most power of association in the multi-frail group (aOR = 0.182, 95 % CI = 0.086-0.386). Based on ARM technique to develop correlation analysis to identify important high-risk clusters among older adult transitions from non-frail to frailty, patterns for normal level of CHOL co-occurred with an elevated creatinine (CREA) level have a significant association with the risk of frailty (aOR = 7.787, 95 % CI = 1.978-30.648) after adjusting for targeted confounders.

CONCLUSIONS

Our study highlights the correlation between classic biological markers, especially CHOL and frailty status and subtypes among community-dwelling older adult, in the primary care setting. Further large-scale prospective studies are still needed to confirm the role of classic biological markers in frailty.

A Biopsychosocial Model Predicting Myocardial Infarction

Myocardial infarction is one of the main causes of death, and cardiovascular risk factors (CVRFs) are always considered when studying it. However, although it is known that other social and psychological variables, and especially frailty, can increase the risk of infarction, their simultaneous effect has not been extensively studied. This study is based on data from the SHARE project (latest wave, Wave 8), with a representative sample of 46,498 participants aged 50 or older (M = 70.40, SD = 9.33), of whom 57.4% were females. Statistical analyses included a full structural equation model that predicts 27% of infarction occurrence and evidences the significant effect of well-being, depression, and social connectedness on frailty. Frailty, in turn, explains 15.5% of the variability of CVRFs. This work supports the need to study these physical, social, and mental health factors together to intervene on frailty and, in turn, improve cardiovascular outcomes.

Development and validation of a preliminary clinical support system for measuring the probability of incident 2-year (pre)frailty among community-dwelling older adults: A prospective cohort study

OBJECTIVE

To develop the wed-based system for predicting risk of (pre)frailty among community-dwelling older adults.

MATERIALS AND METHODS

(Pre)frailty was determined by physical frailty phenotype scale. A total of 2802 robust older adults aged ≥60 years from the China Health and Retirement Longitudinal Study (CHARLS) 2013-2015 survey were randomly assigned to derivation or internal validation cohort at a ratio of 8:2. Logistic regression, Random Forest, Support Vector Machine and eXtreme Gradient Boosting (XGBoost) were used to construct (pre)frailty prediction models. The Grid search and 5-fold cross validation were combined to find the optimal parameters. All models were evaluated externally using the temporal validation method via the CHARLS 2011-2013 survey. The (pre)frailty predictive system was web-based and built upon representational state transfer application program interfaces.

RESULTS

The incidence of (pre)frailty was 34.2 % in derivation cohort, 34.8 % in internal validation cohort, and 32.4 % in external validation cohort. The XGBoost model achieved better prediction performance in derivation and internal validation cohorts, and all models had similar performance in external validation cohort. For internal validation cohort, XGBoost model showed acceptable discrimination (AUC: 0.701, 95 % CI: [0.655-0.746]), calibration (p-value of Hosmer-Lemeshow test > 0.05; good agreement on calibration plot), overall performance (Brier score: 0.200), and clinical usefulness (decision curve analysis: more net benefit than default strategies within the threshold of 0.15-0.80). The top 3 of 14 important predictors generally available in community were age, waist circumference and cognitive function. We embedded XGBoost model into the server and this (pre)frailty predictive system is accessible at http://www.frailtyprediction.com.cn. A nomogram was also conducted to enhance the practical use.

CONCLUSIONS

A user-friendly web-based system was developed with good performance to assist healthcare providers to measure the probability of being (pre)frail among community-dwelling older adults in the next two years, facilitating the early identification of high-risk population of (pre)frailty. Further research is needed to validate this preliminary system across more controlled cohorts.

Association of night-time sleep duration and daytime napping with all-cause and cause-specific mortality in older British men: Findings from the British Regional HeartStudy

Short and long night-time sleep and daytime napping in young and middle-aged populations were associated with increased mortality, but it is unclear in very older people. The aim of this prospective study was to assess the associations in people aged >70 years. We examined the data of British Regional Heart Study, which included 1722 men aged 71-92 years and had night-time sleep duration and daytime napping measured at baseline and were followed up for nine years. There were 597 deaths. Compared to night-time sleep at 7-<8 h, age-adjusted hazard ratio of all-cause mortality in participants sleeping <6 h was 1.04 (95% CI 0.80-1.35), 1.07 (0.85-1.34) in 6-<7 h, 1.04 (0.83-1.30) in 8-<9 h and 0.93 (0.65-1.33) in ≥9 h. Further adjustments for other co-variables still showed no association, and neither the association with cardiovascular mortality nor non-cardiovascular mortality. Daytime napping, however, was associated with mortality. After adjustment for age, smoking, physical activity, obesity, cardiovascular diseases, diabetes, frailty, general health, anti-hypertensive medication and C-reactive protein level, hazard ratio of all-cause mortality in participants with daytime napping >1-h versus no napping was 1.62 (1.18-2.22) and hazard ratio of non-cardiovascular mortality was 1.77 (1.22-2.57). The fully adjusted hazard ratio of cardiovascular mortality was not significantly increased 1.26 (0.69-2.28), although age-adjusted hazard ratio was significant 1.94 (1.20-3.16). In the elderly men, daytime napping was independently associated with increased all-cause and non-cardiovascular mortality, while its association with cardiovascular mortality could be explained by cardiovascular risk factors and co-morbidities. Night-time sleep duration was not associated with mortality risk.

A genome-wide association study of frailty identifies significant genetic correlation with neuropsychiatric, cardiovascular, and inflammation pathways

Frailty is an aging-related clinical phenotype defined as a state in which there is an increase in a person's vulnerability for dependency and/or mortality when exposed to a stressor. While underlying mechanisms leading to the occurrence of frailty are complex, the importance of genetic factors has not been fully investigated. We conducted a large-scale genome-wide association study (GWAS) of frailty, as defined by the five criteria (weight loss, exhaustion, physical activity, walking speed, and grip strength) captured in the Fried Frailty Score (FFS), in 386,565 European descent participants enrolled in the UK Biobank (mean age 57 [SD 8] years, 208,481 [54%] females). We identified 37 independent, novel loci associated with the FFS (p < 5 × 10-8), including seven loci without prior described associations with other traits. The variants associated with FFS were significantly enriched in brain tissues as well as aging-related pathways. Our post-GWAS bioinformatic analyses revealed significant genetic correlations between FFS and cardiovascular-, neurological-, and inflammation-related diseases/traits, and subsequent Mendelian Randomization analyses identified causal associations with chronic pain, obesity, diabetes, education-related traits, joint disorders, and depressive/neurological, metabolic, and respiratory diseases. The GWAS signals were replicated in the Health and Retirement Study (HRS, n = 9,720, mean age 73 [SD 7], 5,582 [57%] females), where the polygenic risk score built from UKB GWAS was significantly associated with the FFS in HRS individuals (OR per SD of the score 1.27, 95% CI 1.22-1.31, p = 1.3 × 10-11). These results provide new insight into the biology of frailty by comprehensively evaluating its genetic architecture.

Risk Factors of Progression to Cognitive Frailty: Singapore Longitudinal Ageing Study 2

INTRODUCTION

Cognitive frailty is associated with higher risk of dementia and adverse health outcomes. However, multidimensional factors that influence cognitive frailty transitions are not known. We aimed to investigate risk factors of incident cognitive frailty.

METHODS

Prospective cohort study participants were community-dwelling adults without dementia and other degenerative disorders and baseline and follow-up, including N = 1,054 participants aged ≥55 free of cognitive frailty at baseline, with complete baseline (March 6, 2009, to June 11, 2013) and follow-up data at 3-5 years later (January 16, 2013, to August 24, 2018). Incident cognitive frailty was defined by one or more criteria of the physical frailty phenotype and <26 of Mini-Mental State Examination (MMSE) score. Potential risk factors assessed at baseline included demographic, socioeconomic, medical, psychological and social factors, and biochemical markers. Data were analyzed using least absolute shrinkage selection operator (LASSO) multivariable logistic regression models.

RESULTS

A total of 51 (4.8%) participants, including 21 (3.5%) of the cognitively normal and physically robust participants, 20 (4.7%) of the prefrail/frail only, and 10 (45.4%) of cognitively impaired only, transited to cognitive frailty at follow-up. Risk factors for transition to cognitive frailty were having eye problem (OR = 2.6, 95% CI 1.24-5.43) and low HDL cholesterol (OR = 4.1, 95% CI 2.03-8.40), while protective factors for cognitive frailty transition were higher levels of education (OR = 0.3, 95% CI 0.10-0.74) and participation in cognitive stimulating activities (OR = 0.4, 95% CI 0.17-0.82).

CONCLUSION

Multi-domain modifiable factors especially related to leisure activities predict cognitive frailty transition and may be targeted for prevention of dementia and associated adverse health outcomes.

Body Composition in Late Midlife as a Predictor of Accelerated Age-associated Deficit-accumulation From Late Midlife into Old Age: A Longitudinal Birth Cohort Study

BACKGROUND

Body mass index (BMI) may not be an optimal predictor of frailty as its constituents, lean and fat mass, may have opposite associations with frailty.

METHODS

A linear mixed model analysis was performed in the Helsinki Birth Cohort Study (n = 2 000) spanning from 57 to 84 years. A 39-item frailty index (FI) was calculated on three occasions over 17 years. Body composition in late midlife included BMI, percent body fat (%BF), waist-to-hip ratio (WHR), lean mass index (LMI), and fat mass index (FMI).

RESULTS

Mean FI levels increased by 0.28%/year among men and by 0.34%/year among women. Among women, per each kg/m2 higher BMI and each unit higher %BF the increases in FI levels per year were 0.013 percentage points (PP) steeper (95% CI = 0.004, 0.023) and 0.009 PP steeper (95% CI = 0.002, 0.016) from late midlife into old age. Among men, per each 0.1-unit greater WHR the increase in FI levels was 0.074 PP steeper per year (95% CI = -0.0004, 0.148). Cross-sectionally, greater FMI and LMI in late midlife were associated with higher FI levels but the direction of the association regarding LMI changed after adjustment for FMI. The categories "high FMI and high LMI" and "high FMI and low LMI" showed the highest FI levels relative to the category "low FMI and low LMI".

CONCLUSIONS

In late midlife, greater adiposity (%BF) among women and abdominal obesity (WHR) among men may predispose to higher levels of frailty from late midlife into old age. Greater lean mass alone may be protective of frailty, but not in the presence of high fat mass.

Midlife Life's Simple 7, Psychosocial Health, and Physical Frailty, Hospital Frailty, and Comprehensive Frailty 10 Years Later

This study aims to examine the associations between midlife Life's Simple 7 (LS7) status, psychosocial health (social isolation and loneliness), and late-life multidimensional frailty indicators, and to investigate their synergistic effect on frailty. We used cohort data from the UK Biobank. Frailty was assessed using physical frailty phenotype, hospital frailty risk score, and frailty index. Cox proportional-hazards models were used to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs) on the association between the LS7 score, psychosocial health, and frailty. For the association of LS7 with physical and comprehensive frailty, 39,047 individuals were included. After a median follow-up of 9.0 years, 1329 (3.4%) people were identified with physical frailty, and 5699 (14.6%) with comprehensive frailty. For the association of LS7 with hospital frailty, 366,570 people were included. After a median follow-up of 12.0 years, 18,737 (5.1%) people were identified with hospital frailty. Compared to people with a poor LS7 score, those with an intermediate (physical frailty: 0.64, 0.54-0.77; hospital frailty: 0.60, 0.58-0.62; and comprehensive frailty: 0.77, 0.69-0.86) and optimal LS7 score (physical frailty: 0.31, 0.25-0.39; hospital frailty: 0.39, 0.37-0.41; and comprehensive frailty: 0.62, 0.55-0.69) were associated with a lower risk of frailty. Poor psychosocial health was associated with an increased risk of frailty. People who had a poor psychosocial status and poor LS7 score had the highest risk of frailty. A better LS7 score in midlife was associated with a reduced risk of physical, hospital, and comprehensive frailty. There was a synergistic effect of psychosocial status and LS7 on frailty.

Association of Frailty Status on the Causes and Outcomes of Patients Admitted With Cardiovascular Disease

Data are limited about the contemporary association between frailty and the causes and outcomes of patients admitted with cardiovascular diseases (CVD). Using the US National Inpatient Sample, CVD admissions of interest (acute myocardial infarction, ischemic stroke, atrial fibrillation (AF), heart failure, pulmonary embolism, cardiac arrest, and hemorrhagic stroke) were stratified by Hospital Frailty Risk Score (HFRS). Logistic regression was used to determine adjusted odds ratios (aORs) and 95% confidence intervals (CIs) of in-hospital mortality among different groups with frailty. The study included 9,317,398 hospitalizations. Of these, 5,573,033 (59.8%) had a low HFRS (<5); 3,422,700 (36.7%) had an intermediate HFRS (5 to 15); and 321,665 (3.5%) had a high HFRS (>15). Ischemic stroke was the most common admission for the groups with high risk (75.4%), whereas acute myocardial infarction was the most common admission for the group with low risk (36.9%). Compared with the group with low risk, patients with high risk had increased mortality across the most CVD admissions, except in patients admitted for cardiac arrest and hemorrhagic stroke (p <0.001). The strongest association with all-cause mortality was shown among patients with high risk admitted for AF (aOR 6.75, 95% CI 6.51 to 7.00, and aOR 17.69, 95% CI 16.08 to 19.45) compared with their counterparts with low risk. In conclusion, patients with CVD admissions have varying frailty risk according to cardiovascular cause of admission, with ischemic stroke being the most common among groups with frailty and high risk. Increased frailty is associated with all-cause mortality in patients with most CVD admissions, except for cardiac arrest and hemorrhagic stroke, with the strongest association seen in patients admitted with AF.

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

PURPOSE

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

METHODS

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

RESULTS

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

CONCLUSION

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

Impact of frailty on disease-specific health status in cardiovascular disease

Frailty is a syndrome of older age that reflects an impaired physiological reserve and decreased ability to recover from medical stressors. While the impact of frailty on mortality in cardiovascular disease has been well described, its impact on cardiovascular disease-specific health status-cardiac symptoms, physical functioning and quality of life-has been less well studied. In this review, we summarise the impact of frailty on health status outcomes across different cardiovascular conditions. In heart failure, frail patients have markedly impaired disease-specific health status and are at risk for subsequent health status deteriorations. However, frail patients have similar or even greater health status improvements with interventions for heart failure, such as cardiac rehabilitation or guideline-directed medical therapy. In valvular heart disease, the impact of frailty on disease-specific health status is of even greater concern since management involves physiologically taxing procedures that can worsen health status. Frailty increases the risk of poor health status outcomes after transcatheter aortic valve intervention or surgical aortic valve replacement for aortic stenosis, but there is no evidence that frail patients benefit more from one procedure versus another. In both heart failure and valvular heart disease, health status improvements may reverse frailty, highlighting the overlap between cardiovascular disease and frailty and emphasising that treatment should typically not be withheld based on the presence of frailty alone. Meanwhile, data are limited on the impact of frailty on health status outcomes in the treatment of coronary artery disease, peripheral artery disease and atrial fibrillation, and requires further research.

The Association between Metabolic Syndrome, Frailty and Disability-Free Survival in Healthy Community-dwelling Older Adults

OBJECTIVES

To examine the association between metabolic syndrome (MetS) and frailty, and determine whether co-existent MetS and frailty affect disability-free survival (DFS), assessed through a composite of death, dementia or physical disability.

DESIGN

Longitudinal study.

SETTING AND PARTICIPANTS

Community-dwelling older adults from Australia and the United States (n=18,264) from "ASPirin in Reducing Events in the Elderly" (ASPREE) study.

MEASUREMENTS

MetS was defined according to American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines (2018). A modified Fried phenotype and a deficit accumulation Frailty Index (FI) were used to assess frailty. Association between MetS and frailty was examined using multinomial logistic regression. Cox regression was used to analyze the association between MetS, frailty and DFS over a median follow-up of 4.7 years.

RESULTS

Among 18,264 participants, 49.9% met the criteria for MetS at baseline. Participants with Mets were more likely to be pre-frail [Relative Risk Ratio (RRR): 1.22; 95%Confidence Interval (CI): 1.14, 1.30)] or frail (RRR: 1.66; 95%CI: 1.32, 2.08) than those without MetS. MetS alone did not shorten DFS while pre-frailty or frailty alone did [Hazard Ratio (HR): 1.68; 95%CI: 1.45, 1.94; HR: 2.65; 95%CI:1.92, 3.66, respectively]. Co-existent MetS with pre-frailty/frailty did not change the risk of shortened DFS.

CONCLUSIONS

MetS was associated with pre-frailty or frailty in community-dwelling older individuals. Pre-frailty or frailty increased the risk of reduced DFS but presence of MetS did not change this risk. Assessment of frailty may be more important than MetS in predicting survival free of dementia or physical disability.

Number of Teeth and Denture Use Are Associated with Frailty among Chinese Older Adults: A Cohort Study Based on the CLHLS from 2008 to 2018

OBJECTIVES

The aim of this study was to determine the association between oral health and the development of frailty over a 10-year period in older Chinese adults.

DESIGN

This was a cohort study.

SETTING AND PARTICIPANTS

The data in this study were derived from the 2008, 2011, 2014 and 2018 waves of the Chinese Longitudinal Health Longevity Survey (CLHLS). The final analysis included 1155 older adults who had complete data for the Frailty Index (FI) and the other factors(oral health, sociodemographics, etc) that were analyzed in the study.

MEASUREMENTS

Frailty was assessed by the FI, which consists of 40 deficits(self-health assessments, diseases, physical functions,etc). Multivariable logistic regression was carried out to calculate the odds ratios (ORs) of the independent variables,which were obtained from investigator surveys and self-reports, in association with the development of frailty.

RESULTS

The prevalence of frailty at baseline was 22.94%, and the 10-year incidence of frailty was 24.16% (215/890). Age, number of natural teeth, use of dentures, toothache and sex were independent risk factors for frailty at baseline. After full adjustment, multivariate logistic regression analysis indicated that compared with having ≥21 teeth, edentulism (ORs 3.575; 95% CI 2.095,6.101) and partial tooth loss (ORs 2.448; 95% CI 1.592,3.766) were associated with progression to frailty. Compared with those with ≥21 teeth, those with <21 teeth and without dentures (ORs 2.617; 95% CI 1.713,3.999) were more likely to progress to frailty.

CONCLUSION

The loss of natural teeth is associated with the progression of frailty in older Chinese adults and denture using can help lower the odds of being frailty. Further research on maintain natural teeth and the appropriate use of dentures may help to establish effective frailty prevention strategies for the older adults.

Heart rate variability: A biomarker of frailty in older adults?

Frailty is a state of critical loss of physiological complexity resulting in greater vulnerability to stressors and has been characterized as a debility syndrome in the older adult. Changes in functional capacity and the cardiovascular system during aging are the most significant and relevant for this population, including the clinically healthy. In this sense, this review aims to investigate methods to monitor the performance of older adults, such as heart rate variability and verify how it can be related to frailty. It contributes to understanding that the changes in heart variability can be a marker for frailty in older adults.

A Systematic Review of Major Cardiovascular Risk Factors: A Growing Global Health Concern

Cardiovascular disease has become a growing global and public health concern among non-communicable diseases (NCDs). The purpose of the study was to focus on the increasing prevalence of the risk factors of cardiovascular diseases (CVD), irrespective of age and gender, and its effect on public health worldwide. A literature search was done in the electronic database: Medline, PubMed, Web of Science, Google Scholar, and the World Health Organization (WHO) website, based on recent research and the prevalence of the risk factors of cardiovascular diseases. Moreover, a manual search for published work has also been done. The coronary heart disease studies were not restricted during the search by sample size because of the limited number of studies in selected countries. The study reviews the potential risk factors responsible for coronary heart disease globally. Smoking was highly prevalent among the United States and Pakistani populations, but hypertension and diabetes were more common in Tanzania and the United Kingdom. However, dyslipidaemia and obesity were common in almost all the selected countries. CVD risk factors are highly prevalent in some countries, varying socioeconomic, gender, and educational levels. Furthermore, there has always been a need for awareness in the public and educational programs for a healthy lifestyle, intake of nutritional food, and increased physical activity to improve health conditions and reduce the risk of cardiovascular diseases.

Differences in cardiometabolic risk profiles between Chinese and Finnish older adults with glucose impairment and central obesity

BACKGROUND

Obesity and ethnicity play important roles in cardiovascular complications in patients with type 2 diabetes mellitus (T2DM). This study aimed to compare cardiometabolic risk profiles between Chinese and Finnish older adults of central obesity with prediabetes or T2DM.

METHODS

Study subjects were 60-74 years old and originated from two population samples. The Finnish subjects came from the Kuopio Ischemic Heart Disease (KIHD) study (n = 1089), and the Chinese subjects came from the Shanghai High-risk Diabetic Screen (SHiDS) study (n = 818). The KIHD and SHiDS studies used similar questionnaires to determine participants' baseline characteristics regarding the history of medication use and diseases and lifestyle factors. All study subjects participated in glucose tolerance tests and anthropometry assessments, including waist circumference measurements.

RESULTS

Among study subjects of central obesity with prediabetes (n = 298), fasting and 2-h glucose, and fasting insulin and insulin resistance were significantly higher in Chinese than in Finnish (p < 0.0001-0.016). In addition, triglyceride (TG) level was higher and the low-density lipoprotein cholesterol (LDL) and LDL to high-density lipoprotein cholesterol (HDL) ratio were lower in Chinese than in Finnish (p < 0.0001-0.003). Among subjects of central obesity with T2DM (n = 251), Chinese subjects had significantly less proportions of antihypertensive, glycaemic control medication, and statin users as well as lower level of physical activity (p < 0.0001 for all), while higher blood pressure (p = 0.002 for systolic blood pressure and p < 0.0001 for diastolic blood pressure), TG levels (p < 0.05) and HDL (p = 0.002) than the Finnish counterparts. There were no differences in β-cell function (HOMA-β) between Chinese and Finnish both in prediabetes and T2DM.

CONCLUSIONS

Our results indicated that Chinese and Finnish older adults of central obesity with prediabetes and T2DM had similar β-cell function. However, Chinese individuals with prediabetes are prone to insulin resistance. Meanwhile, lipid metabolism dysfunction is also different between Chinese and Finnish. Chinese older adults of central obesity with prediabetes showed higher TG, but Finnish showed higher LDL and LDL/HDL. Strategic for T2DM prevention and treatment should be ethnically specific.

Associations between inflammation, coagulation, cardiac strain and injury, and subclinical vascular disease with frailty in older men: a cross-sectional study

BACKGROUND

Inflammation, coagulation activation, endothelial dysfunction and subclinical vascular disease are cross-sectionally associated with frailty. Cardiac-specific biomarkers are less-well characterised. We assessed associations between these and frailty, in men with, and without, cardiovascular disease (CVD).

METHODS

Cross-sectional analysis of 1096 men without, and 303 with, CVD, aged 71-92, from the British Regional Heart Study. Multinominal logistic regression was performed to examine the associations between frailty status (robust/pre-frail/frail) and, separately, C-reactive protein (CRP), interleukin-6 (IL-6), tissue plasminogen activator (tPA), D-dimer, von Willebrand factor (vWF), high-sensitivity cardiac troponin-T (hs-cTnT), N-terminal pro B-type natriuretic peptide (NT-proBNP) (all natural log-transformed), and, in men without CVD, carotid intima-media thickness (CIMT), carotid-femoral pulse wave velocity (cfPWV), carotid distensibility coefficient (DC), and ankle-brachial pressure index (ABPI), adjusted for age, renal function, BMI, social class, smoking, polypharmacy, cognition, multimorbidity and systolic blood pressure. Explanatory variables with p < 0.05 were carried forward into mutually-adjusted analysis.

RESULTS

In men without CVD, higher CRP, IL-6, vWF, tPA, hs-cTnT, NT-proBNP, cfPWV, and lower DC were significantly associated with frailty; mutually-adjusted, log IL-6 (OR for frailty = 2.02, 95%CI 1.38-2.95), log hs-cTnT (OR = 1.95, 95%CI 1.24-3.05) and DC (OR = 0.92, 95%CI 0.86-0.99) retained associations. In men with CVD, higher CRP, IL-6, and hs-cTnT, but not vWF, tPA, NT-proBNP or D-dimer, were significantly associated with frailty; mutually-adjusted, log hs-cTnT (OR 3.82, 95%CI 1.84-7.95) retained a significant association.

CONCLUSIONS

In older men, biomarkers of myocardial injury are associated with frailty. Inflammation is associated with frailty in men without CVD. Carotid artery stiffness is associated with frailty in men without CVD, independently of these biomarkers.

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.

Vascular Function and Frailty in Community-Dwelling Older Individuals

Background

Frailty is a condition characterized by a state of reduced physiological reserve and increased vulnerability to stressors. Frail individuals have a higher likelihood of developing cardiovascular disease (CVD). However, the mechanisms underlying the association between frailty and CVD remain unclear.

Objectives

This study investigated whether frailty is associated with vascular function in community-dwelling older individuals.

Material and Methods

We conducted a cross-sectional analysis of 92 community-dwelling individuals aged ≥ 65 years, including 30 non-frail, 43 pre-frail, 19 frail individuals. Vascular function was assessed by brachial-ankle pulse wave velocity (PWV, measuring arterial stiffness) and flow-mediated dilation of the brachial artery (FMD, measuring endothelial function).

Results

The PWV was significantly higher in both pre-frail and frail groups than in the non-frail group (non-frail: 1615.7 ± 209.9 cm/s vs. pre-frail: 1815.2 ± 265.0 cm/s vs. frail: 1829.9 ± 256.0 cm/s, respectively, p = 0.003). The FMD was significantly lower in both pre-frail and frail groups than in the non-frail group (non-frail: 5.1 ± 2.1% vs. pre-frail: 3.4 ± 1.3% vs. frail: 3.1 ± 1.2% cm/s, respectively, p = 0.001). Multiple logistic regression analyses indicated that pre-frail and frail group were associated with arterial stiffness (OR, 2.92; 95% CI, 1.01–8.42; OR, 3.56; 95% CI, 0.85–14.91) and endothelial dysfunction (OR, 2.17; 95% CI, 0.41–3.09; OR, 2.27; 95% CI, 0.31–6.97).

Conclusions

Thus, pre-frailty and frailty are associated with impaired vascular function in community-dwelling older adults, even when adjusting for confounding factors. These findings may help to prevent the potential consequences between CVD and frailty in community-dwelling older individuals.

Association between a lifestyle-based healthy heart score and risk of frailty in older women: a cohort study

BACKGROUND

Evidence on the comprehensive role of lifestyle in frailty risk is scarce. To assess the association between a lifestyle-based Healthy Heart Score (HHS), which estimates the 20-year risk of cardiovascular disease (CVD), and risk of frailty among older women.

METHODS

Prospective cohort study in 121,700 nurses from the USA participating at the Nurses' Health Study. This study included 68,416 women aged ≥60 year with a follow-up from 1990 to 2014. The HHS was computed using the gender-specific beta-coefficients of the nine lifestyle factors, including current smoking, high body mass index, low physical activity, lack of moderate alcohol intake and unhealthy diet. Frailty incidence was assessed every 4 years from 1992 to 2014 as having ≥3 of the following five criteria from the FRAIL scale: fatigue, low strength, reduced aerobic capacity, having ≥5 illnesses and weight loss ≥5%.

RESULTS

During 22 years of follow-up, 11,041 total incident cases of frailty were ascertained. Compared to women in the lowest quintile of the HHS (lowest estimated CVD risk), the multivariable-adjusted hazard ratio of frailty across quintiles was: Q2:1.67 (95% confidence interval 1.53, 1.82); Q3: 2.34 (2.15, 2.53); Q4: 3.54 (3.28, 3.83) and Q5: 5.92 (5.48, 6.38); P-trend > 0.001. Results were consistent for each frailty criterion, among participants with 0 frailty criteria at baseline, when using only baseline exposure or in 6-year-, 10-year- and 14-year-exposure lagged analyses, and after excluding participants with diabetes and CVD at baseline.

CONCLUSIONS

The HHS, based on a set of modifiable-lifestyle factors, is strongly associated with risk of frailty in older women.

Blood pressure, frailty status, and all-cause mortality in elderly hypertensives; The Nambu Cohort Study

Antihypertensive therapy is pivotal for reducing cardiovascular events. The 2019 Guidelines for the Management of Hypertension set a target blood pressure (BP) of <140/90 mmHg for persons older than 75 years of age. Optimal BP levels for older persons with frailty, however, are controversial because evidence for the relationship between BP level and prognosis by frailty status is limited. Here, we evaluated the relationship between systolic BP and frailty status with all-cause mortality in ambulatory older hypertensive patients using data from the Nambu Cohort study. A total of 535 patients (age 78 [70-84] years, 51% men, 37% with frailty) were prospectively followed for a mean duration of 41 (34-43) months. During the follow-up period, 49 patients died. Mortality rates stratified by systolic BP and frailty status were lowest in patients with systolic BP < 140 mmHg and non-frailty, followed by those with systolic BP ≥ 140 mmHg and non-frailty. Patients with frailty had the highest mortality regardless of the BP level. The adjusted hazard ratios (95% confidence intervals) of each category for all-cause mortality were as follows: ≥140 mmHg/Non-frailty 3.19 (1.12-11.40), <140 mmHg/Frailty 4.72 (1.67-16.90), and ≥140 mmHg/Frailty 3.56 (1.16-13.40) compared with <140 mmHg/Non-frailty as a reference. These results indicated that frail patients have a poor prognosis regardless of their BP levels. Non-frail patients, however, with systolic BP levels <140 mmHg had a better prognosis. Frailty may be a marker to differentiate patients who are likely to gain benefit from antihypertensive medication among older hypertensives.

The effect of frailty on the 24-hour blood pressure pattern in the very elderly

Frailty plays a crucial role in the management of hypertension in the very elderly and has a strong association with cardiovascular diseases. Nevertheless, its influence on the 24-hour blood pressure pattern, including elevated asleep systolic blood pressure (BP) and the lack of BP fall during sleep (non-dipping) has not been explored in a population above 80 years. Patients older than 80 years were classified into frail or robust subtypes by the five item frailty phenotype criteria. All participants were submitted to office blood pressure measurements and ambulatory BP monitoring over a 24-hour period. Nocturnal dipping was defined as nighttime BP fall ≥10%. Thirty-eight frail and 36 non-frail individuals (mean age 85.3 ± 3.7 years; 67% females) were analyzed. Awake systolic and diastolic BP were similar for frail and robust individuals. Frail patients had higher systolic BP during sleep (128 ± 15 mm Hg vs. 122 ±13 mm Hg p = .04) and reduced systolic BP fall [1 (-4.5 - 5)% vs. 6.8 (2.1 - 12.8)% p < .01]. Frailty was independently associated with higher risk of non-dipping (OR 12.4; CI 1.79 - 85.9) and reduced nighttime systolic BP fall (-6.1%; CI -9.6 - -2.6%). In conclusions, frailty has a substantial influence on nighttime BP values and pattern in patients older than 80 years.

Absolute Cardiovascular Disease Risk Assessed in Old Age Predicts Disability and Mortality: A Retrospective Cohort Study of Community-Dwelling Older Adults

Background

Evidence is limited on the predictive validity of absolute cardiovascular disease (CVD) risk, estimated by multivariable assessments in old age, for disability and mortality. We aimed to examine the longitudinal associations of absolute CVD risk assessed using region‐specific risk estimation charts with disability and mortality among community‐dwelling people aged ≥65 years.

Methods and Results

This retrospective cohort study included 7456 community‐dwelling people aged ≥65 years (mean age, 73.7 years) without CVD and functional decline at baseline. They lived in either Obu City or Midori Ward of Nagoya City, Aichi Prefecture, Japan. We estimated absolute CVD risk using the revised World Health Organization CVD risk estimation charts and stratified risk levels into 3 categories: low (<10%), mid (10% to <20%), and high (≥20%). We followed up the functional disability incidence and all‐cause mortality monthly for 5 years. The prevalence of each CVD risk level based on the laboratory‐based model was as follows: low CVD risk, 1096 (14.7%); mid CVD risk, 5510 (73.9%); and high CVD risk, 850 (11.4%). During follow‐up, the incidence rates of disability and mortality were 33.4 per 1000 and 12.4 per 1000 person‐years, respectively. Cox regression analysis showed that the adjusted hazard ratios (95% CIs) for disability incidence were 1.32 (1.13–1.56) and 1.44 (1.18–1.77) in mid and high CVD risk levels, respectively (reference: low CVD risk level); for mortality incidence, they were 1.53 (1.16–2.01) and 2.02 (1.45–2.80) in mid and high CVD risk levels, respectively (reference: low CVD risk level).

Conclusions

Absolute CVD risk was associated with both disability and mortality in people aged ≥65 years. Estimated CVD risk levels may be useful surrogate markers for disability and mortality risks even when assessed in old age.

A Mediterranean lifestyle and frailty incidence in older adults: the Seniors-ENRICA-1 cohort

BACKGROUND

Frailty is a geriatric syndrome that entails high risk of hospitalization, disability, and death. While adherence to Mediterranean diet has been associated with lower risk of frailty, the joint effect of diet and lifestyle is uncertain. This study examined the association between a Mediterranean lifestyle (diet, customs, and traditions) and frailty incidence in older adults.

METHODS

We analyzed data from 1,880 individuals aged ≥ 60 from the prospective Seniors-ENRICA-1 cohort. Adherence to the Mediterranean lifestyle was assessed at baseline with the 27-item MEDLIFE index (higher scores representing better adherence), divided into three blocks: 1) "Mediterranean food consumption", 2) "Mediterranean dietary habits" (practices around meals)" and 3) "Physical activity, rest, social habits and conviviality". Frailty was ascertained as the presence of ≥ 3 of the 5 Fried criteria: a) Exhaustion; b) Muscle weakness; c) Low physical activity; d) Slow walking speed; e) Unintentional weight loss. Main statistical analyses were performed using logistic regression models, adjusting for the main confounders.

RESULTS

After a 3.3-y follow-up, 136 incident frailty cases were ascertained. Compared with participants in the lowest tertile of the MEDLIFE score, the OR (95% CI) for frailty was 0.88 (0.58-1.34) for the second tertile, and 0.38 (0.21-0.69) for the third tertile (p-trend = 0.003). Blocks 1 and 3 of the MEDLIFE score were independently associated with lower frailty risk. Most items within these blocks showed a tendency to reduced frailty.

CONCLUSIONS

Higher adherence to a Mediterranean lifestyle was associated with lower risk of frailty.

Frailty and cardiovascular outcomes in the National Health and Aging Trends Study

AIMS

Physical frailty is a commonly encountered geriatric syndrome among older adults without coronary heart disease (CHD). The impact of frailty on the incidence of long-term cardiovascular outcomes is not known.We aimed to evaluate the long-term association of frailty, measured by the Fried frailty phenotype, with all-cause-mortality and MACE among older adults without a history of CHD at baseline in the National Health and Aging Trends Study.

METHODS AND RESULTS

We used the National Health and Aging Trends Study, a prospective cohort study linked to a Medicare sample. Participants with a prior history of CHD were excluded. Frailty was measured during the baseline visit using the Fried physical frailty phenotype. Cardiovascular outcomes were assessed during a 6-year follow-up.Of the 4656 study participants, 3259 (70%) had no history of CHD 1 year prior to their baseline visit. Compared to those without frailty, subjects with frailty were older (mean age 82.1 vs. 75.1 years, P < 0.001), more likely to be female (68.3% vs. 54.9%, P < 0.001), and belong to an ethnic minority. The prevalence of hypertension, falls, disability, anxiety/depression, and multimorbidity was much higher in the frail and pre-frail than the non-frail participants. In a Cox time-to-event multivariable model and during 6-year follow-up, the incidences of death and of each individual cardiovascular outcomes were all significantly higher in the frail than in the non-frail patients including major adverse cardiovascular event (MACE) [hazard ratio (HR) 1.77, 95% confidence interval (CI) 1.53, 2.06], death (HR 2.70, 95% CI 2.16, 3.38), acute myocardial infarction (HR 1.95, 95% CI 1.31, 2.90), stroke (HR 1.71, 95% CI 1.34, 2.17), peripheral vascular disease (HR 1.80, 95% CI 1.44, 2.27), and coronary artery disease (HR 1.35, 95% CI 1.11, 1.65).

CONCLUSION

In patients without CHD, frailty is a risk factor for the development of MACEs. Efforts to identify frailty in patients without CHD and interventions to limit or reverse frailty status are needed and, if successful, may limit subsequent adverse cardiovascular events.

The Framingham risk score is associated with incident frailty, or is it?

BACKGROUNDS

Cardiovascular disease (CVD) risk factors are individually associated with frailty. This study examined whether Framingham CVD risk score (FRS) as an aggregate measure of CVD risk is associated with incident frailty among Chinese older adults.

METHODS

This study used data from the China Health and Retirement Longitudinal Study. A sample of 3,618 participants aged 60 to 95 years and without CVD at baseline were followed for four years. FRS was calculated at baseline. Frailty status was defined as not-frail (0-2 criteria) or frail (3-5 criteria) based on the physical frailty phenotype consisting of five binary criteria (weakness, slowness, exhaustion, low activity level, and weight loss). After excluding subjects who were frail (n = 248) at baseline, discrete-time Cox regression was used to evaluate the relationship between FRS and incident frailty.

RESULTS

During a median follow-up of 4.0 years, 323 (8 %) participants developed CVD and 318 (11 %) subjects had frailty onset. Higher FRS was associated with greater risk of incident frailty (HR: 1.03, 95 % CI: 1.00 to 1.06) after adjusting for education, marital status, obesity, comorbidity burden, and cognitive function. This association however was no longer significant (HR: 1.00, 95 % CI: 0.97 to 1.03) after additionally adjusting for age. These findings remained essentially unchanged after excluding subjects with depression (n = 590) at baseline or incident CVD (n = 323) during the 4-year follow-up.

CONCLUSIONS

The FRS was not independently associated with incident frailty after adjusting for chronological age. More research is needed to assess the clinical utility of the FRS in predicting adverse health outcomes other than CVD in older adults.

Abdominal obesity, body mass index and the risk of frailty in community-dwelling older adults: a systematic review and meta-analysis

Obese older people are more likely to be frail than those with a normal body mass index (BMI), but the results of individual studies have been inconsistent. We conducted a systematic review and meta-analysis to clarify the association between obesity and the risk of frailty, and whether there was a relationship between BMI and frailty, in community-dwelling older adults aged ≥60 years. Eight databases (PubMed/MEDLINE, EMBASE, EBSCO, CINAHL, Scopus, Cochrane Library and Web of Science) were systematically searched from inception to August 2020. Relative risks for incident frailty were pooled using a random-effects model. We found a positive association between abdominal obesity and frailty [relative risk (RR) = 1.57, 95% confidence interval (CI) 1.29-1.91, I2 = 48.1%, P = 0.086, six observational studies, 18,764 subjects]. People in the higher category of waist circumference had a pooled 57% higher risk of frailty than those with a normal waist circumference. In addition, a total of 12 observational studies comprising 37,985 older people were included in the meta-analysis on the relationship between BMI and the risk for frailty. Taking the normal BMI as the reference group, the pooled RR of frailty risk ranged from 1.45 (95% CI 1.10-1.90, I2 = 83.3%; P < 0.01) for the underweight group, to 0.93 (95% CI 0.85-1.02, I2 = 34.6%; P = 0.114) for the overweight group and to 1.40 (95% CI 1.17-1.67, I2 = 86.1%; P < 0.01) for the obese group. We have shown that obesity or underweight is associated with an increased risk of frailty in community-dwelling older adults.

Frailty and incident heart failure in older men: the British Regional Heart Study

OBJECTIVE

Frailty and heart failure (HF) are cross-sectionally associated. Published longitudinal data are very limited. We sought to investigate associations between frailty and incident HF.

METHODS

Prospective study of 1722 men, examined at age 72-91 years. Scores based on the Fried phenotype, Gill index and a novel frailty score, based on the Health Ageing and Body Composition Battery, incorporating slow walking speed, low chair-stand time and subjective difficulty with balance, were calculated. Associations between these scores and incident HF were analysed with Cox proportional hazard modelling.

RESULTS

1445 men with frailty data and without prevalent HF were included. 99 developed HF (mean follow-up 6.1 years). Men scoring 3/3 on our novel frailty score had elevated risk of incident HF (HR 2.77, 95% CI 1.25 to 6.15), which persisted after adjustment for established risk factors and interleukin-6 (HR 3.14, 95% CI 1.35 to 7.31). This risk remained increased, although attenuated, after excluding HF events within 2 years of baseline (HR 2.05, 95% CI 0.61 to 6.92). The frailty phenotype showed a non-significant association with HF (age-adjusted HR 1.92, 95% CI 0.99 to 3.73), which was further attenuated after adjustment for prevalent coronary heart disease and Body mass index (HR 1.60, 95% CI 0.81 to 3.15). Gill-type scores were weakly associated with HF risk after these adjustments (HR 1.31, 95% CI 0.47 to 3.70).

CONCLUSION

In these older men, the combination of slow walk speed, low sit-stand time and balance problems were associated with high risk of incident HF, independent of established risk factors and inflammatory markers. However, undiagnosed HF at baseline may still be a confounder. There is a differential association between aspects of the frailty phenotype and incident HF.

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

BACKGROUND

Coexistence of frailty and chronic diseases including diabetes is related to a higher risk of adverse health outcomes. There is an increasing interest in the intersection of diabetes and frailty. Understanding the prevalence of frailty in older adults with diabetes is of great importance. However, estimates of the prevalence of frailty among this population varied widely in the relevant literature.

OBJECTIVES

To conduct a systematic review and meta-analysis to estimate the overall prevalence of frailty and prefrailty among community-dwelling older adults with diabetes, and examine the risk factors associated with frailty in this population.

METHODS

PubMed, Web of Science, Embase, Wiley Cochrane Library, and Cumulative Index of Nursing and Allied Health were searched from inception to May 30th, 2020. Investigators assessed eligibility, extracted data and evaluated methodological quality. The pooled prevalence of frailty and prefrailty was calculated using the random-effects model. Meta-regression analysis and subgroup analysis were conducted to explore sources of heterogeneity.

RESULTS

A total of 32 studies met the inclusion criteria, involving 14,450 individuals. The pooled prevalence of frailty and prefrailty in older adults with diabetes was 20.1% (95% CI = 16.0-24.2%) and 49.1% (95%CI = 45.1-53.1%), respectively, with significant heterogeneity across the studies. Frailty was more prevalent in older adults with diabetes than those without diabetes (OR = 1.61, 95%CI = 1.47-1.77, p < 0.001). The pooled prevalence of frailty was lower in studies using Frailty Phenotype to define frailty (16.3%) and conducted in Asia (14.3%). Female gender and unmarried status were risk factors of frailty among this population.

CONCLUSION

Frailty and prefrailty are common in community-dwelling older adults with diabetes. Early screening of frailty and interventions should be integrated into diabetes care for older adults to prevent and reduce the negative effects of frailty at the community level. Better quality longitudinal research is required to examine the temporal relationship between diabetes and frailty.

Associations between risk factors for cardiovascular diseases and frailty among community-dwelling older adults in Lanzhou, China

Objectives

To examine the relationship between cardiovascular disease risk factors and frailty in a sample of older Chinese adults.

Methods

A total of 458 community-dwelling older adults (≥65 years) in Lanzhou, Gansu Province of China participated in a cross-sectional survey. Their status was evaluated in terms of frailty phenotype (unintentional weight loss, exhaustion, low activity levels, slowness and weakness). Participants were categorized as not frail, prefrail or frail. Cardiovascular disease risk factors that were assessed included: blood pressure, body mass index, waist circumference, blood glucose, total cholesterol, triglycerides, low-density lipoproteins and high-density lipoproteins.

Results

Individuals with obesity had an increased risk of prefrailty (OR: 2.26; 95% CI: 1.05, 4.84). Hypertension was inversely associated with frailty among the participants (OR: 0.31; 95% CI: 0.11, 0.87) after adjusting for covariates.

Conclusions

The findings suggest that much more attention should be paid to weight control of the elderly in the community for preventing them from transition to prefrailty or frailty. Active prevention and control of cardiovascular diseases among the community-dwelling elder are still of great importance.

Longitudinal birth cohort study finds that life-course frailty associates with later-life heart size and function

A frailty index (FI) counts health deficit accumulation. Besides traditional risk factors, it is unknown whether the health deficit burden is related to the appearance of cardiovascular disease. In order to answer this question, the same multidimensional FI looking at 45-health deficits was serially calculated per participant at 4 time periods (0–16, 19–44, 45–54 and 60–64 years) using data from the 1946 Medical Research Council (MRC) British National Survey of Health and Development (NSHD)—the world’s longest running longitudinal birth cohort with continuous follow-up. From these the mean and total FI for the life-course, and the step change in deficit accumulation from one time period to another was derived. Echocardiographic data at 60–64 years provided: ejection fraction (EF), left ventricular mass indexed to body surface area (LVmassi, BSA), myocardial contraction fraction indexed to BSA (MCF_i) and E/e′. Generalized linear models assessed the association between FIs and echocardiographic parameters after adjustment for relevant covariates. 1375 participants were included. For each single new deficit accumulated at any one of the 4 time periods, LVmass_i increased by 0.91–1.44% (p < 0.013), while MCF_i decreased by 0.6–1.02% (p < 0.05). A unit increase in FI at age 45–54 and 60–64, decreased EF by 11–12% (p < 0.013). A single health deficit step change occurring between 60 and 64 years and one of the earlier time periods, translated into higher odds (2.1–78.5, p < 0.020) of elevated LV filling pressure. Thus, the accumulation of health deficits at any time period of the life-course associates with a maladaptive cardiac phenotype in older age, dominated by myocardial hypertrophy and poorer function.

Association between Frailty and Albuminuria among Older Chinese Inpatients

OBJECTIVES

Older adults with frailty are vulnerable to cardiovascular event and subsequent mortality. Frailty and albuminuria share atherosclerotic risk factors. The present study investigated the association of frailty and albuminuria among elderly Chinese inpatients.

DESIGN

Cross-sectional study.

SETTINGS AND PARTICIPANTS

A total of 202 patients aged over 60 years from the Center of Gerontology and Geriatric, West China Hospital.

MEASUREMENTS

Frailty was defined using the five-item FRAIL scale. This included measurements of fatigue, resistance, ambulation, illness, and loss of weight. We further determined the random urine albumin/creatinine ratio (UACR) of all patients. Random UACR ≥30 mg/g was defined as albuminuria, and < 30mg/g as normoalbuminuria. The relationship between albuminuria and frailty was assessed through multiple regression analysis.

RESULTS

The 202 participants (156 men, 77.2%) had an average age of 78.99±7.60 years, which ranged from 60 to 95. Compared to those without albuminuria, elderly patients with albuminuria were of an older age, had a higher prevalence of diabetes and poorer renal function. The prevalence of frailty, pre-frailty and ambulation (one of the FRAIL components) were higher in the albuminuria group than the normoalbuminuria group (23.9% vs. 12.2%, 47.9% vs.37.4%, 33.8% vs. 16.0%, respectively, P<0.05). Following the adjustment for age, eGFR, hypertension, diabetes and using ACEI/ARB, being frail or pre-frail led to an enhanced risk of albuminuria (OR frail 2.60, 95% CI frail 1.01-6.72; OR pre-frail 2.14, 95% CI pre-frail 1.03-4.44).

CONCLUSIONS

Frailty is independently associated with albuminuria when adjusted for classic cardiovascular risk factors.

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.

Frailty and hypertension in older adults: current understanding and future perspectives

Hypertension is an important factor affecting the health of older adults. Antihypertensives can reduce stroke, cardiovascular events, and mortality in older hypertensive patients. Blood pressure management is difficult in older adults since geriatric syndromes such as frailty and comorbidities often coexist with hypertension. Recent guidelines propose taking functional status into account when targeting blood pressure in older people. Therefore, a better understanding and control of frailty risk factors could improve the prognosis of older adults with hypertension. However, there are relatively few studies on hypertension and frailty in older adults, especially studies focused on antihypertensive treatment. The goals, target values, and choice of antihypertensive treatment for frail older adults are still disputed. We reviewed the recent literature focusing on frailty and hypertension in older adults and propose a management process for screening and assessing frailty and hypertension before the use of antihypertensives. The process can support older adults with lifestyle interventions and frailty management and help them begin taking a single antihypertensive medication.

Low total cholesterol and high density lipoprotein are independent predictors of poor outcomes following aneurysmal subarachnoid hemorrhage: A preliminary report

INTRODUCTION

Aneurysmal subarachnoid hemorrhage (aSAH) is devastating, with delayed cerebral ischemia (DCI) significantly contributing to the high morbidity and mortality rates. Cholesterol has been studied as a measure of nutritional status in other neurological pathologies, but reports examining cholesterol's effects on aSAH outcomes are sparse. This study aimed to elucidate the effect of low total cholesterol (TC) and high density lipoprotein (HDL) on mortality and DCI following aSAH.

METHODS

We performed a retrospective cohort study at a quaternary academic medical center between June 2014 and July 2018. All patients had aSAH confirmed by digital subtraction angiography and had TC measured on admission. Primary outcomes were mortality and DCI. Secondary outcome was radiographic vasospasm. Univariate and multivariate logistic regressions were performed.

RESULTS

There were 75 aSAH patients, with an average age of 58.7 ± 1.7 (range: 14-89) and Hunt & Hess score of 2.8 ± 0.1, included for analysis. Those with a low TC < 160 mg/dL had 3 times increased odds of DCI (OR = 3.4; 95 %CI: 1.3-9.0; p = 0.0175) and a nearly 5 times increased odds of death (OR = 4.9; 95 %CI: 1.1-18.3; p = 0.0339). Low HDL < 40 mg/dL was associated with 12 times increased odds of DCI (OR = 12.3; 95 %CI: 2.7-56.4; p = 0.0003) but no significant differences in death (p = 0.2205). In multivariate analysis, low TC was an independent risk factor for increased mortality (OR = 5.6; 95 %CI: 1.2-27.6; p = 0.0335) while low HDL was associated with increased risk for DCI (OR = 17.9; 95 %CI: 3.1-104.4; p = 0.0013). There was no effect of TC or HDL on radiographic vasospasm.

CONCLUSIONS

Low TC and HDL are independent predictors of increased mortality and DCI, respectively, following aSAH. Low TC and HDL may be markers of poor overall health, in addition to having some pathophysiological effect on cerebral vasculature. These results may have practical implications for the improvement of aSAH prognostication and management.