Statin treatment, phenotypic frailty and mortality among community-dwelling octogenarian men: the HBS cohort.
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ABSTRACT: Background
statin treatment has increased also among people aged 80 years and over, but adverse effects potentially promoting frailty and loss of resilience are frequent concerns.Methods
in the Helsinki Businessmen Study, men born in 1919-34 (original n?=?3,490) have been followed up since the 1960s. In 2011, a random subcohort of home-living survivors (n?=?525) was assessed using questionnaires and clinical (including identification of phenotypic frailty) and laboratory examinations. A 7-year mortality follow-up ensued.Results
we compared 259 current statin users (median age 82 years, interquartile range 80-85 years) with 266 non-users (83; 80-86 years). Statin users had significantly more multimorbidity than non-users (prevalencies 72.1% and 50.4%, respectively, P?Conclusionsour study suggests that male octogenarian statin users preserved resilience and survival despite multimorbidity, and this may be associated with better nutritional status among statin users.
SUBMITTER: Luotola K
PROVIDER: S-EPMC7306181 | biostudies-literature | 2020 Feb
REPOSITORIES: biostudies-literature
Publications
Statin treatment, phenotypic frailty and mortality among community-dwelling octogenarian men: the HBS cohort.
Luotola Kari K Jyväkorpi Satu S Urtamo Annele A Pitkälä Kaisu H KH Kivimäki Mika M Strandberg Timo E TE
Age and ageing 20200201 2
<h4>Background</h4>statin treatment has increased also among people aged 80 years and over, but adverse effects potentially promoting frailty and loss of resilience are frequent concerns.<h4>Methods</h4>in the Helsinki Businessmen Study, men born in 1919-34 (original n = 3,490) have been followed up since the 1960s. In 2011, a random subcohort of home-living survivors (n = 525) was assessed using questionnaires and clinical (including identification of phenotypic frailty) and laboratory examinat ...[more]
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Project description:PurposeMultimorbidity, prefrailty, and frailty are frequent in ageing populations, but their independent relationships to long-term prognosis in home-dwelling older people are not well recognised.MethodsIn the Helsinki Businessmen Study (HBS) men with high socioeconomic status (born 1919-1934, n = 3490) have been followed-up from midlife. In 2000, multimorbidity (≥ 2 conditions), phenotypic prefrailty and frailty were determined in 1365 home-dwelling men with median age of 73 years). Disability was assessed as a possible confounder. 18-year mortality follow-up was established from registers and Cox regression used for analyses.ResultsOf the men, 433 (31.7%) were nonfrail and without multimorbidity at baseline (reference group), 500 (36.6%) and 82 (6.0%) men had prefrailty or frailty, respectively, without multimorbidity, 84 (6.2%) men had multimorbidity only, and 201 (14.7%) and 65 (4.8%) men had prefrailty or frailty together with multimorbidity. Only 30 (2.2%) and 86 (6.3%) showed signs of ADL or mobility disability. In the fully adjusted analyses (including ADL disability, mental and cognitive status) of 18-year mortality, frailty without multimorbidity (hazard ratio 1.62, 95% confidence interval 1.13-2.31) was associated with similar mortality risk than multimorbidity without frailty (1.55, 1.17-2.06). The presence of both frailty and multimorbidity indicated a strong mortality risk (2.93, 2.10-4.07).ConclusionAlthough multimorbidity is generally considered a substantial health problem, our long-term observational study emphasises that phenotypic frailty alone, independently of disability, may be associated with a similar risk, and a combination of multimorbidity and frailty is an especially strong predictor of mortality.
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Project description:Black versus white older Americans are more likely to experience frailty, a condition associated with adverse health outcomes. To reduce racial disparities in health, a complete understanding of the pathophysiology of frailty is needed. Metabolomics may further our understanding by characterizing differences in the body during a vigorous versus frail state. We sought to identify metabolites and biological pathways associated with vigor to frailty among 287 black men ages 70-81 from the Health, Aging, and Body Composition study. Using liquid chromatography-mass spectrometry, 350 metabolites were measured in overnight-fasting plasma. The Scale of Aging Vigor in Epidemiology (SAVE) measured vigor to frailty based on weight change, strength, energy, gait speed, and physical activity. Thirty-seven metabolites correlated with SAVE scores (p < 0.05), while adjusting for age and site. Fourteen metabolites remained significant after multiple comparisons adjustment (false discovery rate < 0.30). Lower values of tryptophan, methionine, tyrosine, asparagine, C14:0 sphingomyelin, and 1-methylnicotinamide, and higher values of glucoronate, N-carbamoyl-beta-alanine, isocitrate, creatinine, C4-OH carnitine, cystathionine, hydroxyphenylacetate, and putrescine were associated with frailer SAVE scores. Pathway analyses identified nitrogen metabolism, aminoacyl-tRNA biosynthesis, and the citric acid cycle. Future studies need to confirm these SAVE-associated metabolites and pathways that may indicate novel mechanisms involved in the frailty syndrome.
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Project description:Background/objectivesTo estimate associations between lower urinary tract symptoms (LUTS) and phenotypic frailty in older men.DesignCross-sectional study.SettingCommunity-dwelling men recruited from 2000 to 2002 from six U.S. academic centers for the Osteoporotic Fractures in Men Study.ParticipantsA total of 5,979 men aged 65 and older.MeasurementsThe independent variable was LUTS severity (none/mild, moderate, or severe) assessed with the American Urologic Association Symptom Index. Participants were categorized as frail, intermediate stage, or robust using an adapted Cardiovascular Health Study index (components: low lean mass, weakness, exhaustion, slowness, and low physical activity). Associations were estimated with odds ratios and 95% confidence intervals (CIs) from multivariable multinomial logistic regression models adjusted for potential confounders of age, other demographics, health-related behaviors, and comorbidities.ResultsThe prevalence of frailty was 7%, 11%, and 18% among men with none/mild, moderate, and severe LUTS, respectively. Moderate and severe LUTS, overall and by storage and voiding subscores, were associated with higher odds of both intermediate stage and frailty in all models. After adjustment for confounders, the odds of frailty was 1.41 times higher among men with moderate LUTS (95% CI = 1.14-1.74) and 2.51 times higher among men with severe LUTS (95% CI = 1.76-3.55), compared with none/mild LUTS. Severe LUTS was associated with a greater odds of individual frailty components exhaustion and low physical activity.ConclusionThe prevalence of phenotypic frailty is higher among older community-dwelling men with moderate or severe LUTS compared with those with mild or no LUTS. The positive association between LUTS severity and frailty among older men appears independent of age and known frailty risk factors. Although the temporal direction of this association and the utility of LUTS or frailty interventions in this population remain unclear, the high co-occurrence of these conditions could lead to earlier identification of frailty when clinically appropriate.
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Project description:BackgroundHealth care systems need better strategies to identify older adults at risk for costly care to select target populations for interventions to reduce health care burden.ObjectiveTo determine whether self-reported functional impairments and phenotypic frailty are associated with incremental health care costs after accounting for claims-based predictors.DesignProspective cohort study.SettingIndex examinations (2002 to 2011) of 4 prospective cohort studies linked with Medicare claims.Participants8165 community-dwelling fee-for-service beneficiaries (4318 women, 3847 men).MeasurementsWeighted (Centers for Medicare & Medicaid Services Hierarchical Condition Category index) and unweighted (count of conditions) multimorbidity and frailty indicators derived from claims. Self-reported functional impairments (difficulty performing 4 activities of daily living) and frailty phenotype (operationalized using 5 components) derived from cohort data. Health care costs ascertained for 36 months after index examinations.ResultsAverage annualized costs (2020 U.S. dollars) were $13 906 among women and $14 598 among men. After accounting for claims-based indicators, average incremental costs of functional impairments versus no impairment in women (men) were $3328 ($2354) for 1 impairment increasing to $7330 ($11 760) for 4 impairments; average incremental costs of phenotypic frailty versus robust in women (men) were $8532 ($6172). Mean predicted costs adjusted for claims-based indicators in women (men) varied by both functional impairments and the frailty phenotype ranging from $8124 ($11 831) among robust persons without impairments to $18 792 ($24 713) among frail persons with 4 impairments. Compared with the model with claims-derived indicators alone, this model resulted in more accurate cost prediction for persons with multiple impairments or phenotypic frailty.LimitationCost data limited to participants enrolled in the Medicare fee-for-service program.ConclusionSelf-reported functional impairments and phenotypic frailty are associated with higher subsequent health care expenditures in community-dwelling beneficiaries after accounting for several claims-based indicators of costs.Primary funding sourceNational Institutes of Health.
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Project description:BACKGROUND:There is a lack of agreement about applicable instrument to screen frailty in clinical settings. AIMS:To analyze the association between frailty and mortality in Finnish community-dwelling older people. METHODS:This was a prospective study with 10- and 18-year follow-ups. Frailty was assessed using FRAIL scale (FS) (n = 1152), Rockwood's frailty index (FI) (n = 1126), and PRISMA-7 (n = 1124). To analyze the association between frailty and mortality, Cox regression model was used. RESULTS:Prevalence of frailty varied from 2 to 24% based on the index used. In unadjusted models, frailty was associated with higher mortality according to FS (hazard ratio 7.96 [95% confidence interval 5.10-12.41] in 10-year follow-up, and 6.32 [4.17-9.57] in 18-year follow-up) and FI (5.97 [4.13-8.64], and 3.95 [3.16-4.94], respectively) in both follow-ups. Also being pre-frail was associated with higher mortality according to both indexes in both follow-ups (FS 2.19 [1.78-2.69], and 1.69 [1.46-1.96]; FI 1.81[1.25-2.62], and 1.31 [1.07-1.61], respectively). Associations persisted even after adjustments. Also according to PRISMA-7, a binary index (robust or frail), frailty was associated with higher mortality in 10- (4.41 [3.55-5.34]) and 18-year follow-ups (3.78 [3.19-4.49]). DISCUSSION:Frailty was associated with higher mortality risk according to all three frailty screening instrument used. Simple and fast frailty indexes, FS and PRISMA-7, seemed to be comparable with a multidimensional time-consuming FI in predicting mortality among community-dwelling Finnish older people. CONCLUSIONS:FS and PRISMA-7 are applicable frailty screening instruments in clinical setting among community-dwelling Finnish older people.
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Project description:To determine whether actigraphy-measured sleep was independently associated with risk of frailty and mortality over a 5-year period among older adults. We used data from Waves 2 (W2) and 3 (W3) (2010-2015) of the National Social Life, Health and Aging Project, a prospective cohort of community-dwelling older adults born between 1920 and 1947. One-third of W2 respondents were randomly selected to participate in a sleep study, of whom N = 727 consented and N = 615 were included in the analytic sample. Participants were instructed to wear a wrist actigraph for 72 h (2.93 ± 0.01 nights). Actigraphic sleep parameters were averaged across nights and included total sleep time, percent sleep, sleep fragmentation index, and wake after sleep onset. Subjective sleep was collected via questionnaire. Frailty was assessed using modified Fried Frailty Index. Vital status was ascertained at the time of the W3 interview. W3 frailty/mortality status was analyzed jointly with a four-level variable: robust, pre-frail, frail, and deceased. Associations were modeled per 10-unit increase. After controlling for baseline frailty (robust and pre-frail categories), age, sex, education, body mass index, and sleep time preference, a higher sleep fragmentation index was associated with frailty (OR = 1.70, 95% CI: 1.02-2.84) and mortality (OR = 2.12, 95% CI: 1.09-4.09). Greater wake after sleep onset (OR = 1.24, 95% CI: 1.02-1.50) and lower percent sleep (OR = 0.41, 95% CI: 0.17-0.97) were associated with mortality. Among community-dwelling older adults, actigraphic sleep is associated with frailty and all-cause mortality over a 5-year period. Further investigation is warranted to elucidate the physiological mechanisms underlying these associations.
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Project description:So far, it has not yet been studied whether socioeconomic status is associated with distinct frailty components and for which frailty component this association is the strongest. We aimed to examine the association between socioeconomic status and frailty and frailty components. In addition we assessed the mediating effect of the number of morbidities on the association between socioeconomic status and other frailty components.This is a cross-sectional study of pooled data of The Older Persons and Informal Caregivers Survey Minimum DataSet in the Netherlands among community-dwelling persons aged 55 years and older (n = 26,014). Frailty was measured with a validated Frailty Index that consisted of 45 items. The Frailty Index contained six components: morbidities, limitations in activities of daily living (ADL), limitations in instrumental ADL (IADL), health-related quality of life, psychosocial health and self-rated health. Socioeconomic indicators used were education level and neighbourhood socioeconomic status.Persons with primary or secondary education had higher overall frailty and frailty component scores compared to persons with tertiary education (P < .001). Lower education levels were most consistently associated with higher overall frailty, more morbidities and worse self-rated health (P < .05 in all age groups). The strongest association was found between primary education and low psychosocial health for persons aged 55-69 years and more IADL limitations for persons aged 80+ years. Associations between neighborhood socioeconomic status and frailty (components) also showed inequalities, although less strong. The number of morbidities moderately to strongly mediated the association between socioeconomic indicators and other frailty components.There are socioeconomic inequalities in frailty and frailty components. Inequalities in frailty, number of morbidities and self-rated health are most consistent across age groups. The number of morbidities a person has play an important role in explaining socioeconomic inequalities in frailty and should be taken into account in the management of frailty.
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Project description:Background/aimsWe aimed to assess validity of the Korean Frailty Index (KFI) and the modified KFI (mKFI) in nationwide Korean population as screening measures for frailty status in older adults.MethodsAnalysis was performed in the records of baseline assessments of 2,886 participants in the Korean Frailty Aging Cohort study from 2016 to 2017. The KFI included eight items on a history of hospitalization, self-reported health status, polypharmacy, weight loss, mood, incontinence, sensory problems, and timed up and go test. In mKFI, timed up and go test was replaced with a question whether a person can walk around a schoolyard. Cardiovascular Health Study (CHS) frailty scale was used as a gold standard.ResultsIn study population (mean age, 76; 47.6% men), score of the KFI correlated with the CHS scale. The KFI correlated with common geriatric parameters including Activities of Daily Living, nutritional status, cognitive performance, and mood. As a construct validity, items of KFI correlated with CHS scale. As a criterion validity, sensitivity was 81.6%, specificity was 67.0% to predict frailty by CHS scale with the score of 3 or higher in KFI. The KFI and mKFI correlated with each other (R2 = 0.88), and prediction ability for frailty by CHS scale was not significantly differed between KFI and mKFI.ConclusionThe KFI and mKFI are valid instruments for frailty screening and might be useful as simple frailty screening tools to identify older adults who might benefit from comprehensive geriatric assessment and integrated, multidisciplinary geriatric care services.
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