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Frailty phenotype, frailty index and risk of mortality in Chinese elderly population- Rugao longevity and ageing study. Arch Gerontol Geriatr 2019; 80:115-119. [DOI: 10.1016/j.archger.2018.11.001] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2018] [Revised: 10/05/2018] [Accepted: 11/05/2018] [Indexed: 01/24/2023]
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52
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Vetrano DL, Palmer KM, Galluzzo L, Giampaoli S, Marengoni A, Bernabei R, Onder G. Hypertension and frailty: a systematic review and meta-analysis. BMJ Open 2018; 8:e024406. [PMID: 30593554 PMCID: PMC6318510 DOI: 10.1136/bmjopen-2018-024406] [Citation(s) in RCA: 82] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
OBJECTIVE To review the association between hypertension and frailty in observational studies. DESIGN A systematic review of the PubMed, Web of Science and Embase databases was performed. A meta-analysis was performed if at least three studies used the same definition of frailty and a dichotomous definition of hypertension. SETTING, PARTICIPANTS AND MEASURES Studies providing information on the association between frailty and hypertension in adult persons, regardless of the study setting, study design or definition of hypertension and frailty were included. RESULTS Among the initial 964 articles identified, 27 were included in the review. Four longitudinal studies examined the incidence of frailty according to baseline hypertension status, providing conflicting results. Twenty-three studies assessed the cross-sectional association between frailty and hypertension: 13 of them reported a significantly higher prevalence of frailty in hypertensive participants and 10 found no significant association. The pooled prevalence of hypertension in frail individuals was 72% (95% CI 66% to 79%) and the pooled prevalence of frailty in individuals with hypertension was 14% (95% CI 12% to 17%). Five studies, including a total of 7656 participants, reported estimates for the association between frailty and hypertension (pooled OR 1.33; 95% CI 0.94 to 1.89). CONCLUSIONS Frailty is common in persons with hypertension. Given the possible influence of frailty on the risk-benefit ratio of treatment for hypertension and its high prevalence, it is important to assess the presence of this condition in persons with hypertension. TRIAL REGISTRATION NUMBER CRD42017058303.
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Affiliation(s)
- Davide L Vetrano
- Department of Neurobiology, Care Sciences and Society, Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
- Department of Geriatrics, Fondazione Policlinico Universitario "A. Gemelli", IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
| | | | - Lucia Galluzzo
- Department of Cardiovascular, Dysmetabolic and Ageing-Associated Diseases, Istituto Superiore di Sanità, Rome, Italy
| | - Simona Giampaoli
- Department of Cardiovascular, Dysmetabolic and Ageing-Associated Diseases, Istituto Superiore di Sanità, Rome, Italy
| | - Alessandra Marengoni
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Roberto Bernabei
- Department of Geriatrics, Fondazione Policlinico Universitario "A. Gemelli", IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Graziano Onder
- Department of Geriatrics, Fondazione Policlinico Universitario "A. Gemelli", IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
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53
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Widagdo IS, Pratt NL, Roughead EE. The association between frailty and medicines use over time: an analysis using the Australian Longitudinal Study on Ageing population. JOURNAL OF PHARMACY PRACTICE AND RESEARCH 2018. [DOI: 10.1002/jppr.1407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Imaina S. Widagdo
- Quality Use of Medicines and Pharmacy Research Centre Sansom Institute for Health Research School of Pharmacy and Medical Sciences University of South Australia Adelaide Australia
| | - Nicole L. Pratt
- Quality Use of Medicines and Pharmacy Research Centre Sansom Institute for Health Research School of Pharmacy and Medical Sciences University of South Australia Adelaide Australia
| | - Elizabeth E. Roughead
- Quality Use of Medicines and Pharmacy Research Centre Sansom Institute for Health Research School of Pharmacy and Medical Sciences University of South Australia Adelaide Australia
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Muscular Strength as a Predictor of All-Cause Mortality in an Apparently Healthy Population: A Systematic Review and Meta-Analysis of Data From Approximately 2 Million Men and Women. Arch Phys Med Rehabil 2018; 99:2100-2113.e5. [DOI: 10.1016/j.apmr.2018.01.008] [Citation(s) in RCA: 227] [Impact Index Per Article: 37.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2017] [Revised: 12/29/2017] [Accepted: 01/05/2018] [Indexed: 12/17/2022]
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55
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Shafique U, Mathur S, Michalski A, Bunston R, Cheema AN. Frailty assessment and impact of frailty on outcomes after transcatheter aortic valve replacement. Expert Rev Cardiovasc Ther 2018; 16:757-763. [DOI: 10.1080/14779072.2018.1521720] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Affiliation(s)
- Umair Shafique
- Division of Cardiology, St. Michael’s Hospital, Toronto, Canada
| | - Sunita Mathur
- Department of Physical Therapy, University of Toronto, Toronto, Canada
| | - Anna Michalski
- Department of Physical Therapy, St. Michael’s Hospital, Toronto, Ontario, Canada
| | - Rebecca Bunston
- Department of Physical Therapy, St. Michael’s Hospital, Toronto, Ontario, Canada
| | - Asim N. Cheema
- Division of Cardiology, St. Michael’s Hospital, Toronto, Canada
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56
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Osteosarcopenic Visceral Obesity and Osteosarcopenic Subcutaneous Obesity, Two New Phenotypes of Sarcopenia: Prevalence, Metabolic Profile, and Risk Factors. J Aging Res 2018; 2018:6147426. [PMID: 29862078 PMCID: PMC5976921 DOI: 10.1155/2018/6147426] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2017] [Revised: 08/09/2017] [Accepted: 09/06/2017] [Indexed: 12/25/2022] Open
Abstract
Background The main criticism of the definition of “osteosarcopenic obesity” (OSO) is the lack of division
between subcutaneous and visceral fat. This study describes the prevalence, metabolic profile, and risk factors of two new phenotypes of sarcopenia:
osteosarcopenic visceral obesity (OSVAT) and osteosarcopenic subcutaneous obesity (OSSAT).
Methods A standardized geriatric assessment was performed by anthropometric and biochemical measures.
Dual-energy X-ray absorptiometry (DXA) was used to assess body composition, visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT),
osteoporosis, and sarcopenia.
Results A sample of 801 subjects were assessed (247 men; 554 women).
The prevalence of osteosarcopenic obesity (OSO) was 6.79%; OSSAT and OSOVAT were, respectively, 2.22%
and 4.56%. OSVAT (versus the others) showed a higher level of inflammation (CRP and ESR, p < 0.05), bilirubin (p < 0.05), and risk of fractures (FRAX index over 15%, p < 0.001). Subjects with OSSAT did not show any significant risk factors associated to obesity.
Conclusions
The osteosarcopenic visceral obesity phenotype (OSVAT) seems to be associated with a higher risk of fractures,
inflammation, and a worse metabolic profile. These conditions in OSVAT cohort are associated with an increase of visceral adipose tissue,
while patients with OSSAT seem to benefit related to the “obesity paradox”.
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57
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Adabag S, Vo TN, Langsetmo L, Schousboe JT, Cawthon PM, Stone KL, Shikany JM, Taylor BC, Ensrud KE. Frailty as a Risk Factor for Cardiovascular Versus Noncardiovascular Mortality in Older Men: Results From the MrOS Sleep (Outcomes of Sleep Disorders in Older Men) Study. J Am Heart Assoc 2018; 7:JAHA.118.008974. [PMID: 29728373 PMCID: PMC6015334 DOI: 10.1161/jaha.118.008974] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Background Frailty is associated with greater mortality; however, whether frail patients primarily die of cardiovascular disease (CVD) or non‐CVD causes is unknown. Methods and Results We assessed the cause of death in relation to frailty status, measured at baseline, among 3135 community‐dwelling older men in the MrOS Sleep (Outcomes of Sleep Disorders in Older Men) study. Absolute probability and risk of CVD mortality associated with frailty status were estimated with traditional methods that used censoring and newer methods that considered non‐CVD mortality as a competing risk. Of the 3135 men (mean age: 76.4±5.6 years), 475 (15.2%) were frail. During an average follow‐up of 9.2 years, 1275 (40.7%) men died, including 445 (34.9%) from CVD and 828 (64.9%) from non‐CVD causes (2 deaths unadjudicated). Both CVD and non‐CVD mortality risk increased with frailty. Cumulative absolute probability of CVD death at 10 years among frail men was 23.8% (20.2–27.6%) using the competing risk method versus 32.5% (27.3–37.8%) using the traditional Kaplan–Meier method (41.5% [95% confidence interval, 36.9–45.9%] and 48.6% [95% confidence interval, 43.6–53.4%], respectively, for non‐CVD mortality). The multivariable‐adjusted risk of CVD death among frail versus robust men was 1.38 (95% confidence interval, 0.99–1.92) using the competing risk method versus 1.84 (95% confidence interval, 1.35–2.51) using the traditional Cox proportional hazards method. Conclusions Among community‐dwelling older men, ≈35% of the deaths were due to CVD. Frail men were at increased risk of CVD death, but ignoring the competing risk of non‐CVD mortality overestimated their long‐term probability and relative risk of CVD death.
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Affiliation(s)
- Selcuk Adabag
- Department of Cardiology, Minneapolis VA Health Care System, Minneapolis, MN .,Department of Medicine, University of Minnesota, Minneapolis, MN.,Division of Epidemiology & Community Health, University of Minnesota, Minneapolis, MN
| | - Tien N Vo
- Division of Epidemiology & Community Health, University of Minnesota, Minneapolis, MN
| | - Lisa Langsetmo
- Division of Epidemiology & Community Health, University of Minnesota, Minneapolis, MN
| | - John T Schousboe
- HealthPartners Institute, Bloomington, MN.,Division of Health Policy & Management, University of Minnesota, Minneapolis, MN
| | - Peggy M Cawthon
- California Pacific Medical Center Research Institute, San Francisco, CA
| | - Katie L Stone
- California Pacific Medical Center Research Institute, San Francisco, CA
| | - James M Shikany
- Division of Preventive Medicine, University of Alabama at Birmingham, AL
| | - Brent C Taylor
- Department of Medicine, University of Minnesota, Minneapolis, MN.,Division of Epidemiology & Community Health, University of Minnesota, Minneapolis, MN.,Center for Chronic Disease Outcomes Research, Minneapolis VA Health Care System, Minneapolis, MN
| | - Kristine E Ensrud
- Department of Medicine, University of Minnesota, Minneapolis, MN.,Division of Epidemiology & Community Health, University of Minnesota, Minneapolis, MN.,Center for Chronic Disease Outcomes Research, Minneapolis VA Health Care System, Minneapolis, MN
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58
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Comparative analysis of the association between 35 frailty scores and cardiovascular events, cancer, and total mortality in an elderly general population in England: An observational study. PLoS Med 2018; 15:e1002543. [PMID: 29584726 PMCID: PMC5870943 DOI: 10.1371/journal.pmed.1002543] [Citation(s) in RCA: 57] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2017] [Accepted: 02/21/2018] [Indexed: 01/14/2023] Open
Abstract
BACKGROUND Frail elderly people experience elevated mortality. However, no consensus exists on the definition of frailty, and many frailty scores have been developed. The main aim of this study was to compare the association between 35 frailty scores and incident cardiovascular disease (CVD), incident cancer, and all-cause mortality. Also, we aimed to assess whether frailty scores added predictive value to basic and adjusted models for these outcomes. METHODS AND FINDINGS Through a structured literature search, we identified 35 frailty scores that could be calculated at wave 2 of the English Longitudinal Study of Ageing (ELSA), an observational cohort study. We analysed data from 5,294 participants, 44.9% men, aged 60 years and over. We studied the association between each of the scores and the incidence of CVD, cancer, and all-cause mortality during a 7-year follow-up using Cox proportional hazard models at progressive levels of adjustment. We also examined the added predictive performance of each score on top of basic models using Harrell's C statistic. Using age of the participant as a timescale, in sex-adjusted models, hazard ratios (HRs) (95% confidence intervals) for all-cause mortality ranged from 2.4 (95% CI: 1.7-3.3) to 26.2 (95% CI: 15.4-44.5). In further adjusted models including smoking status and alcohol consumption, HR ranged from 2.3 (95% CI: 1.6-3.1) to 20.2 (95% CI: 11.8-34.5). In fully adjusted models including lifestyle and comorbidity, HR ranged from 0.9 (95% CI: 0.5-1.7) to 8.4 (95% CI: 4.9-14.4). HRs for CVD and cancer incidence in sex-adjusted models ranged from 1.2 (95% CI: 0.5-3.2) to 16.5 (95% CI: 7.8-35.0) and from 0.7 (95% CI: 0.4-1.2) to 2.4 (95% CI: 1.0-5.7), respectively. In sex- and age-adjusted models, all frailty scores showed significant added predictive performance for all-cause mortality, increasing the C statistic by up to 3%. None of the scores significantly improved basic prediction models for CVD or cancer. A source of bias could be the differences in mortality follow-up time compared to CVD/cancer, because the existence of informative censoring cannot be excluded. CONCLUSION There is high variability in the strength of the association between frailty scores and 7-year all-cause mortality, incident CVD, and cancer. With regard to all-cause mortality, some scores give a modest improvement to the predictive ability. Our results show that certain scores clearly outperform others with regard to three important health outcomes in later life. Finally, we think that despite their limitations, the use of frailty scores to identify the elderly population at risk is still a useful measure, and the choice of a frailty score should balance feasibility with performance.
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59
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New 5-Factor Modified Frailty Index Using American College of Surgeons NSQIP Data. J Am Coll Surg 2018; 226:173-181.e8. [DOI: 10.1016/j.jamcollsurg.2017.11.005] [Citation(s) in RCA: 344] [Impact Index Per Article: 57.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2017] [Revised: 10/16/2017] [Accepted: 11/01/2017] [Indexed: 12/17/2022]
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60
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Crow RS, Lohman MC, Titus AJ, Bruce ML, Mackenzie TA, Bartels SJ, Batsis JA. Mortality Risk Along the Frailty Spectrum: Data from the National Health and Nutrition Examination Survey 1999 to 2004. J Am Geriatr Soc 2018; 66:496-502. [PMID: 29368330 DOI: 10.1111/jgs.15220] [Citation(s) in RCA: 54] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
OBJECTIVES To determine the relationship between frailty and overall and cardiovascular mortality. DESIGN Longitudinal mortality analysis. SETTING National Health and Nutrition Examination Survey (NHANES) 1999-2004. PARTICIPANTS Community-dwelling older adults aged 60 and older (N = 4,984; mean age 71.1 ± 0.19, 56% female). MEASUREMENTS We used data from 1999-2004 cross-sectional NHANES and mortality data from the National Death Index, updated through December 2011. An adapted version of Fried's frailty criteria was used (low body mass index, slow walking speed, weakness, exhaustion, low physical activity). Frailty was defined as persons meeting 3 or more criteria, prefrailty as meeting 1 or 2 criteria, and robust (reference) as not meeting any criteria. The primary outcome was to evaluate the association between frailty and overall and cardiovascular mortality. Cox proportional hazard models were used to evaluate the association between risk of death and frailty category adjusted for age, sex, race, smoking, education, coronary artery disease, heart failure, nonskin cancer, diabetes, and arthritis. RESULTS Half (50.4%) of participants were classified as robust, 40.3% as prefrail, and 9.2% as frail. Fully adjusted models demonstrated that prefrail (hazard ratio (HR) = 1.64, 95% confidence interval (CI) = 1.45-1.85) and frail (HR = 2.79, 95% CI = 2.35-3.30) participants had a greater risk of death and of cardiovascular death (prefrail: HR = 1.84, 95% CI = 1.45-2.34; frail: HR = 3.39, 95% CI = 2.45-4.70). CONCLUSION Frailty and prefrailty are associated with increased risk of death. Demonstrating the association between prefrail status and mortality is the first step to identifying potential targets of intervention in future studies.
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Affiliation(s)
- Rebecca S Crow
- Section of General Internal Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire.,Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire.,Dartmouth Centers for Health and Aging, Dartmouth College, Hanover, New Hampshire
| | - Matthew C Lohman
- Dartmouth Centers for Health and Aging, Dartmouth College, Hanover, New Hampshire.,Health Promotion Research Center at Dartmouth, Dartmouth College, Lebanon, New Hampshire
| | - Alexander J Titus
- Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire.,Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Lebanon, New Hampshire
| | - Martha L Bruce
- Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire.,Dartmouth Centers for Health and Aging, Dartmouth College, Hanover, New Hampshire.,Health Promotion Research Center at Dartmouth, Dartmouth College, Lebanon, New Hampshire
| | - Todd A Mackenzie
- Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire.,Department of Biomedical Data Science, Geisel School of Medicine, Dartmouth College, Lebanon, New Hampshire.,Dartmouth Institute for Health Policy and Clinical Research, Lebanon, New Hampshire
| | - Stephen J Bartels
- Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire.,Dartmouth Centers for Health and Aging, Dartmouth College, Hanover, New Hampshire.,Health Promotion Research Center at Dartmouth, Dartmouth College, Lebanon, New Hampshire.,Dartmouth Institute for Health Policy and Clinical Research, Lebanon, New Hampshire
| | - John A Batsis
- Section of General Internal Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire.,Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire.,Dartmouth Centers for Health and Aging, Dartmouth College, Hanover, New Hampshire.,Health Promotion Research Center at Dartmouth, Dartmouth College, Lebanon, New Hampshire.,Dartmouth Institute for Health Policy and Clinical Research, Lebanon, New Hampshire.,Dartmouth Weight & Wellness Center, Lebanon, New Hampshire
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61
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Hsueh JT, Peng TC, Chen WL, Wu LW, Chang YW, Yang WS, Kao TW. Association between frailty and a measure of cognition: a cross-sectional study on community-dwelling older adults. Eur Geriatr Med 2017; 9:39-43. [DOI: 10.1007/s41999-017-0012-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2017] [Accepted: 11/20/2017] [Indexed: 11/25/2022]
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62
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Perna S, Peroni G, Faliva MA, Bartolo A, Naso M, Miccono A, Rondanelli M. Sarcopenia and sarcopenic obesity in comparison: prevalence, metabolic profile, and key differences. A cross-sectional study in Italian hospitalized elderly. Aging Clin Exp Res 2017; 29:1249-1258. [PMID: 28233283 DOI: 10.1007/s40520-016-0701-8] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2016] [Accepted: 12/15/2016] [Indexed: 12/14/2022]
Abstract
BACKGROUND The aim of this study is to identify the prevalence, assess the metabolic profile, and key differences (versus healthy) in a cohort of subjects with sarcopenia (S) and in sarcopenic obesity (SO) hospitalized elderly. METHODS A standardized comprehensive geriatric assessment was performed. We enrolled 639 elderly subjects (196 men, 443 women) with a mean age of 80.90 ± 7.77 years. Analysis of variance and a multinomial logistic regression analysis adjusting for covariates were used to assess the differences between groups. RESULTS The prevalence of (S) was 12.42% in women and 23.47% in men. (SO) was 8.13% in women and 22.45% in men. Data showed that either groups had a functional impairment (Barthel index < 50 points). (S) had the mean value of erythrocyte sedimentation rate (ESR) (>15 mm/h), CPR (>0.50 mg/dl) homocysteine (>12 micromol/l), and hemoglobin (<12 g/dl). Ferritin level over the range (>145 mcg/dl) was detected in either cohort (due to inflammation). (SO) had glycemia (>110 mg/dl). Key differences in (S) cohort (versus healthy) were a reduction in functional impairment (p < 0.001), an increase in white blood cell (p < 0.01), a decrease in iron level (p < 0.05), in electrolytes balance (Na: p < 0.01 and Cl: p < 0.01), and tyroid function (TSH: p < 0.001). In addition, (S) had higher state of inflammation (erythrocyte sedimentation rate: p < 0.05 and C-reactive protein: p < 0.01), and an increase of risk of fractures (FRAX: OR 1.07; p < 0.001), risk of malnutrition (mini nutritional assessment: p < 0.001), and risk of edema (extra cellular water: p < 0.001). In (SO) cohort, an increase in white blood cell (p < 0.001) and erythrocyte sedimentation rate (p < 0.05) was observed. CONCLUSIONS (S) subjects appears more vulnerable than (SO). Sarcopenia is closely linked to an increase in the risk of hip-femur fractures, inflammation, edema, and malnutrition. The (SO) subjects seem to benefit from the "obesity paradox."
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63
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Okuno T, Watanabe K, Nakajima K, Iritani O, Yano H, Morita T, Himeno T, Igarashi Y, Okuro M, Morimoto S. Major electrocardiographic abnormality predicts support/care-need certification and/or death in community-dwelling older adults with no history of cardiovascular disease. Geriatr Gerontol Int 2017; 17:1967-1976. [PMID: 28345203 DOI: 10.1111/ggi.13002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2016] [Revised: 11/29/2016] [Accepted: 12/19/2016] [Indexed: 11/29/2022]
Abstract
AIM Not only cardiovascular disease (CVD) itself, but also subclinical major electrocardiographic (ECG) abnormalities are related to frailty in older adults. We investigated whether major ECG abnormality was associated with first support/care-need certification in Long-Term Care Insurance or death in community-dwelling older adults. METHODS We analyzed 1078 community-dwelling older adults with no history of certification aged 65-94 years. Relationships between baseline major ECG abnormality and risk of first certification or death were estimated using the Cox proportional hazards model. RESULTS During 5 years, 135 first certifications and 53 deaths occurred. Among participants with no prior history of CVD (n = 875), those with major ECG abnormality (n = 282) showed significantly higher adjusted hazard ratios (HR) for certification (HR 2.42, 95% CI 1.58-3.69, P < 0.001) and for death (HR 2.44, 95% CI 1.27-4.69, P = 0.008) compared with control participants without major ECG abnormality (n = 593). The impact of major ECG abnormality on certification in this group was more evident in older adults with age ≥75 years, female sex or hyperuricemia. Participants with either arrhythmia or ST/T abnormality on ECG examination tended to have higher HR for certification as a result of dementia. In participants with a prior history of CVD (n = 203), the impact of major ECG abnormality (n = 126) on certification was not significant. CONCLUSIONS These observations show that subclinical major ECG abnormality predicts higher risk for later support/care-need certification in community-dwelling older adults with no prior history of CVD. Geriatr Gerontol Int 2017; 17: 1967-1976.
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Affiliation(s)
- Tazuo Okuno
- Department of Geriatric Medicine, Kanazawa Medical University, Ishikawa, Japan
| | - Keisuke Watanabe
- Department of Geriatric Medicine, Kanazawa Medical University, Ishikawa, Japan
| | - Kumie Nakajima
- Department of Geriatric Medicine, Kanazawa Medical University, Ishikawa, Japan
| | - Osamu Iritani
- Department of Geriatric Medicine, Kanazawa Medical University, Ishikawa, Japan
| | - Hiroshi Yano
- Department of Geriatric Medicine, Kanazawa Medical University, Ishikawa, Japan
| | - Takuro Morita
- Department of Geriatric Medicine, Kanazawa Medical University, Ishikawa, Japan
| | - Taroh Himeno
- Department of Geriatric Medicine, Kanazawa Medical University, Ishikawa, Japan
| | - Yuta Igarashi
- Department of Geriatric Medicine, Kanazawa Medical University, Ishikawa, Japan
| | - Masashi Okuro
- Department of Geriatric Medicine, Kanazawa Medical University, Ishikawa, Japan
| | - Shigeto Morimoto
- Department of Geriatric Medicine, Kanazawa Medical University, Ishikawa, Japan
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64
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Gallego González E, Ortiz Alonso FJ, Vidán Astiz MT, Soria Felix S, García Cárdenas V, Omonte Guzmán J, Abizanda P, Valadés Malagón MI, Oreja Sevilla S, Serra Rexach JA. Development and validation of a prognostic index for 6- and 12-month mortality in hospitalized older adults. Arch Gerontol Geriatr 2017; 73:269-278. [PMID: 28869885 DOI: 10.1016/j.archger.2017.07.008] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2017] [Revised: 07/16/2017] [Accepted: 07/17/2017] [Indexed: 11/17/2022]
Abstract
BACKGROUND/AIM Estimation of mortality in elderly patients is difficult yet very important when planning care. Previous tools are complicated or do no take into account some major determinants of mortality (i.e., frailty). We designed a simple, accurate, and non-disease-specific tool to predict individual mortality risk after hospital discharge in older adults. METHODS Patients admitted to the Acute Geriatric Unit were assessed at adission and at discharge and contacted 6 and 12 months later. Determinants of mortality were obtained. Using multivariable analysis, beta coeffcicients were calculated to build 2 scores able to predict mortality at 6 and 12 months after discharge. The scores were tested on a sample comprising 75% of the patients, who were randomly selected; they were validated using the remaining 25%. Discrimination was assessed using ROC curves. Scores were calculated for each patient and divided into tertiles. Survival analysis was performed. RESULTS Determinants of mortality at 6 months were dependent ambulation at baseline, full dependence at discharge, length of stay, pluripatology, pressure ulcers, low grip strength, malignacy, and male gender. At 12 months the determinants were: dependent amblation at baseline, full dependence at discharge, pluripatology, low BMI, low grip strength, heart failure, malignacy, and male gender. Discrimination and calibration were excellent. Survival analysis demonstrated different survival trajectories (p<0.001) for each tertile in both scores. CONCLUSIONS Our incices provide accurate prognostic information in elderly patients after discharge. They can be calculated easily, quickly and do not require technical or laboratory support, thus endorsing their value in dalily clinical practice.
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Affiliation(s)
- Eva Gallego González
- Hospital Universitario de Canarias, Geriatric Department, Hospital General Universitario Gregorio Marañón, Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón, CIBERFES, Madrid, Spain.
| | - Francisco Javier Ortiz Alonso
- Instituto de Investigación Sanitaria Gregorio Marañón, CIBERFES, Madrid, Spain; Geriatrics Department, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
| | - Maria Teresa Vidán Astiz
- Instituto de Investigación Sanitaria Gregorio Marañón, CIBERFES, Madrid, Spain; Geriatrics Department, Hospital General Universitario Gregorio Marañón, Madrid, Spain; Facultad de Medicina, Universidad Complutense de Madrid, CIBERFES, Spain.
| | - Selene Soria Felix
- Geriatrics Department, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
| | | | - John Omonte Guzmán
- Geriatrics Department, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
| | - Pedro Abizanda
- Geriatrics Department, Complejo Hospitalario Universitario de Albacete, CIBERFES, Albacete, Spain.
| | | | - Silvia Oreja Sevilla
- Geriatrics Department, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
| | - José Antonio Serra Rexach
- Instituto de Investigación Sanitaria Gregorio Marañón, CIBERFES, Madrid, Spain; Geriatrics Department, Hospital General Universitario Gregorio Marañón, Madrid, Spain; Facultad de Medicina, Universidad Complutense de Madrid, CIBERFES, Spain.
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Abstract
Frailty has become more frequently recognized as an indicator of predisability. It has been shown to have an association with cardiovascular disease (CVD), just as CVD has an association with frailty, and is a predictor of hospitalization and mortality. The ability to identify this population provides a measure to more accurately assess risk and prognosis which can help the early detection of disease and dictate intervention. This has become even more critical over time with the advent of various therapeutic interventions that are geared toward patients who are poor candidates for aggressive surgical measures, such as transcatheter aortic valve replacement. The American Heart Association has called for a better understanding of frailty as it relates to CVD in the elderly.
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Badrasawi M, Shahar S, Kaur Ajit Singh D. Risk Factors of Frailty Among Multi-Ethnic Malaysian Older Adults. INT J GERONTOL 2017. [DOI: 10.1016/j.ijge.2016.07.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
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Association between Frailty and Hypertension Prevalence, Treatment, and Control in the Elderly Korean Population. Sci Rep 2017; 7:7542. [PMID: 28790349 PMCID: PMC5548733 DOI: 10.1038/s41598-017-07449-5] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2017] [Accepted: 06/26/2017] [Indexed: 11/19/2022] Open
Abstract
Frailty is a common geriatric syndrome characterized by increased risk of disability, hospitalization, and mortality. Hypertension (HTN) is one of the most common chronic medical conditions in the elderly. However, there have been few studies regarding the association between frailty and HTN prevalence, treatment, and control rates. We analyzed data of 4,352 older adults (age ≥ 65 years) from the fifth Korea National Health and Nutrition Examination Survey. We constructed a frailty index based on 42 items and classified participants as robust, pre-frail, or frail. Of the subjects, 2,697 (62.0%) had HTN and 926 (21.3%) had pre-HTN. Regarding frailty status, 721 (16.6%), 1,707 (39.2%), and 1,924 (44.2%) individuals were classified as robust, pre-frail and frail, respectively. HTN prevalence was higher in frail elderly (67.8%) than pre-frail (60.8%) or robust elderly (49.2%) (P < 0.001). Among hypertensive patients, frail elderly were more likely to be treated than pre-frail or robust elderly (P < 0.001), but the proportion of patients whose blood pressure was under control ( < 150/90 mmHg) was lower in frail elderly (P = 0.005). Considering the adverse cardiovascular outcomes associated with frailty, more attention should be paid to the blood pressure control of the frail elderly.
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68
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Schubert CR, Fischer ME, Pinto AA, Klein BEK, Klein R, Tweed TS, Cruickshanks KJ. Sensory Impairments and Risk of Mortality in Older Adults. J Gerontol A Biol Sci Med Sci 2017; 72:710-715. [PMID: 26946102 DOI: 10.1093/gerona/glw036] [Citation(s) in RCA: 52] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2015] [Accepted: 02/11/2016] [Indexed: 11/13/2022] Open
Abstract
Background Sensory impairments increase with age and the majority of older people will experience a sensory impairment if they live long enough. However, the relationships of hearing, visual, and olfactory impairments with mortality are not well understood. Methods Epidemiology of Hearing Loss Study participants (n = 2,418) aged 53-97 years (mean = 69 years) were examined in 1998-2000 and hearing, visual acuity, and olfaction were measured. Participants were followed for mortality for up to 17 years (mean = 12.8 years). Cox proportional hazards models were used to assess the association between prevalent sensory impairments and the 15-year cumulative incidence of death. Results A total of 1,099 (45.4%) of participants died during the follow-up period. In age- and sex-adjusted Cox models, the risk of mortality was higher among participants with one (hazard ratio [HR] = 1.40, 95% confidence interval [CI] = 1.19, 1.64) or two or more (HR = 2.12, 95% CI = 1.74, 2.58) sensory impairments than among participants with no sensory impairments. Olfactory impairment at baseline was significantly associated with mortality (HR = 1.28, 95% CI = 1.07, 1.52) after adjusting for age, sex, sensory comorbidities, cardiovascular risk factors and disease, cognitive impairment, frailty, subclinical atherosclerosis, and inflammatory marker levels (n = 1,745). Hearing and visual impairment were not associated with mortality after adjusting for subclinical atherosclerosis and inflammation. Conclusion Olfactory impairment, but not hearing or visual impairment, was associated with an increased risk of mortality. These results suggest that olfactory impairment may be a marker of underlying physiologic processes or pathology that is associated with aging and reduced survival in older adults.
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Affiliation(s)
| | | | - A Alex Pinto
- Department of Ophthalmology and Visual Sciences and
| | | | - Ronald Klein
- Department of Ophthalmology and Visual Sciences and
| | - Ted S Tweed
- Department of Ophthalmology and Visual Sciences and
| | - Karen J Cruickshanks
- Department of Ophthalmology and Visual Sciences and.,Department of Population Health Sciences, University of Wisconsin School of Medicine and Public Health, Madison
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Abstract
OBJECTIVES This study used latent growth curve modeling (LGCM) to estimate the independent and joint associations between frailty and depression trajectories and likelihood of nursing home admission and falls resulting in injury. METHODS Data come from five waves (2004-2012) of the Health and Retirement Study. Community-dwelling individuals aged 51 and older (N = 13,495) were analyzed using LGCM. Frailty was measured using a frailty index consisting of 30 deficits. Depressive symptoms were measured using the eight-item Centers for Epidemiologic Studies - Depression scale. Adverse health outcomes included nursing home admissions and falls resulting in injury. RESULTS Prevalence of frailty increased over the study period (24.1%-32.1%), while the prevalence of depression was relatively constant over time (approximately 13%). Parallel process LGCM showed that more rapid increases of frailty and depressive symptoms were associated with higher odds of both nursing home admission and serious falls over time (Frailty: ORNursinghome = 1.33, 95% CI: 1.09-1.66; ORFall = 1.52, 95% CI: 1.12-2.08; Depression: ORNursinghome = 3.63, 95% CI: 1.29-9.97; ORFall = 1.16, 95% CI: 1.01-1.34). Associations between frailty and adverse outcomes were attenuated, and in some cases were no longer statistically significant, after accounting for concurrent depression. CONCLUSION Frailty trajectories may be important indicators of risk for nursing home admissions and falls, independent of baseline frailty status; however, concurrent depression trajectories are associated with adverse outcomes to a similar degree as frailty. Focus should be given to distilling elements of the frailty index which confer most risk for poor health outcomes.
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Affiliation(s)
- Matthew C. Lohman
- Department of Psychiatry, Institute of Geriatric Psychiatry, Weill Cornell Medical College, White Plains, New York
| | - Briana Mezuk
- Department of Family Medicine and Population Health, Division of Epidemiology, Virginia Commonwealth University School of Medicine, Richmond, Virginia
| | - Levent Dumenci
- Department of Social and Behavioral Health, Virginia Commonwealth University School of Medicine, Richmond, Virginia
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Assessment of factors associated with functional status in 60 years-old and older adults in Bogotá, Colombia. BIOMEDICA 2017; 37:57-65. [PMID: 28527267 DOI: 10.7705/biomedica.v37i1.3197] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2015] [Revised: 05/31/2016] [Indexed: 11/21/2022]
Abstract
INTRODUCTION Functional impairment produces a wide range of negative effects such as difficulty in mobility, social isolation, decreased quality of life, disability and institutionalization. Thus, functional status measurement is a marker of social wellbeing. OBJECTIVE To determine and characterize the socio-demographic factors and health conditions related to functional impairment in older adults in Bogotá, Colombia. MATERIALS AND METHODS Data was collected from the SABE Bogotá Study. Functional status was assessed using the Barthel and Lawton scales. Independent variables included socio-demographic factors, comorbidities, anthropometric measurements and physical activity (by tertiles). Bivariate analyzes were performed, and multivariate results were obtained using linear regression models. RESULTS There were 2,000 participants aged 60 years and older, with a mean age of 71.2 ± 8 years. Younger age (standardized beta = -0.15, p<0.01), fewer medications (beta= -0.13, p<0.01), higher MMSE score (beta = 0.3, p< 0.01), higher level of physical activity (middle beta tertile = 0.18, p<0.01, and higher beta tertile= 0.18, p<0.01vs lower tertile) and better performance in the handgrip test (beta= 0.10, p<0.01) were associated with better function in daily life instrumental activities. Similarly, higher MMSE score (beta= 0.3, p<0.01) and better performance in the handgrip test (beta= 0.07, p= 0.02) were associated with better function in daily life basic activities. CONCLUSIONS We found several factors related with functional impairment, which are likely to be modified to reduce dependence in this population.
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Quality of life independently predicts long-term mortality but not vascular events: the Northern Manhattan Study. Qual Life Res 2017; 26:2219-2228. [PMID: 28357682 DOI: 10.1007/s11136-017-1567-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/24/2017] [Indexed: 01/01/2023]
Abstract
PURPOSE Cardiovascular disease is a major contributor to morbidity and mortality, and prevention relies on accurate identification of those at risk. Studies of the association between quality of life (QOL) and mortality and vascular events incompletely accounted for depression, cognitive status, social support, and functional status, all of which have an impact on vascular outcomes. We hypothesized that baseline QOL is independently associated with long-term mortality in a large, multi-ethnic urban cohort. METHODS In the prospective, population-based Northern Manhattan Study, Spitzer QOL index (SQI, range 0-10, with ten signifying the highest QOL) was assessed at baseline. Participants were followed over a median 11 years for stroke, myocardial infarction (MI), and vascular and non-vascular death. Multivariable Cox proportional hazards regression estimated hazard ratio and 95% confidence interval (HR, 95% CI) for each outcome, with SQI as the main predictor, dichotomized at 10, adjusting for baseline demographics, vascular risk factors, history of cancer, social support, cognitive status, depression, and functional status. RESULTS Among 3298 participants, mean age was 69.7 + 10.3 years; 1795 (54.5%) had SQI of 10. In fully adjusted models, SQI of 10 (compared to SQI <10) was associated with reduced risk of all-cause mortality (HR 0.80, 95% CI 0.72-0.90), vascular death (0.81, 0.69-0.97), non-vascular death (0.78, 0.67-0.91), and stroke or MI or death (0.82, 0.74-0.91). In fully adjusted competing risk models, there was no association with stroke (0.93, 0.74-1.17), MI (0.98, 0.75-1.28), and stroke or MI (1.03, 0.86-1.24). Results were consistent when SQI was analyzed continuously. CONCLUSION In this large population-based cohort, highest QOL was inversely associated with long-term mortality, vascular and non-vascular, independently of baseline primary vascular risk factors, social support, cognition, depression, and functional status. QOL was not associated with non-fatal vascular events.
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72
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The impact of age-related cataract on measures of frailty in an aging global population. Curr Opin Ophthalmol 2017; 28:93-97. [PMID: 27820747 DOI: 10.1097/icu.0000000000000338] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
PURPOSE OF REVIEW To review the associations among age-related cataract, frailty, and frailty outcomes (e.g., disabilities). RECENT FINDINGS It is predicted that the proportion of the population aged 65 and older, in developed and developing nations alike, will rise until at least 2050. The proportion of patients suffering from cataracts and frailty is expected to increase, as are age-related diseases. Although there are many papers reporting on the association between frailty outcomes, cataract, and visual impairment, there is a relative paucity of papers describing associations between frailty markers, cataract, and visual impairment. SUMMARY Reports regarding the relationship between frailty, visual impairment, cataract, and cataract surgery are limited, but gradually increasing. Further research is expected to clarify the mechanism of visual function or the impact of restored vision on frailty. Evidence for the effect of cataract on frailty and frailty outcomes after restoring vision by cataract surgery remains limited.
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Lekan DA, Wallace DC, McCoy TP, Hu J, Silva SG, Whitson HE. Frailty Assessment in Hospitalized Older Adults Using the Electronic Health Record. Biol Res Nurs 2017; 19:213-228. [PMID: 27913742 DOI: 10.1177/1099800416679730] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
INTRODUCTION Frailty, a clinical syndrome of decreased physiologic reserve and dysregulation in multiple physiologic systems, is associated with increased risk for adverse outcomes. PURPOSE The aim of this retrospective, cross-sectional, correlational study was to characterize frailty in older adults admitted to a tertiary-care hospital using a biopsychosocial frailty assessment and to determine associations between frailty and time to in-hospital mortality and 30-day rehospitalization. METHODS The sample included 278 patients ≥55 years old admitted to medicine units. Frailty was determined using clinical data from the electronic health record (EHR) for symptoms, syndromes, and conditions and laboratory data for four serum biomarkers. A frailty risk score (FRS) was created from 16 risk factors, and relationships between the FRS and outcomes were examined. RESULTS The mean age of the sample was 70.2 years and mean FRS was 9.4 ( SD, 2.2). Increased FRS was significantly associated with increased risk of death (hazard ratio = 1.77-2.27 for 3 days ≤ length of stay (LOS) ≤7 days), but depended upon LOS ( p < .001). Frailty was marginally associated with rehospitalization for those who did not die in hospital (adjusted odds ratio = 1.18, p = .086, area under the curve [AUC] = 0.66, 95% confidence interval for AUC = [0.57, 0.76]). DISCUSSION Clinical data in the EHR can be used for frailty assessment. Informatics may facilitate data aggregation and decision support. Because frailty is potentially preventable and treatable, early detection is crucial to delivery of tailored interventions and optimal patient outcomes.
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Affiliation(s)
- Deborah A Lekan
- 1 School of Nursing, University of North Carolina at Greensboro, Greensboro, NC, USA
| | - Debra C Wallace
- 1 School of Nursing, University of North Carolina at Greensboro, Greensboro, NC, USA
| | - Thomas P McCoy
- 1 School of Nursing, University of North Carolina at Greensboro, Greensboro, NC, USA
| | - Jie Hu
- 2 College of Nursing, The Ohio State University, Columbus, OH, USA
| | - Susan G Silva
- 3 School of Nursing, Duke University, Durham, NC, USA
| | - Heather E Whitson
- 4 Departments of Medicine and Opthalmology, School of Medicine, Duke University, Durham, NC, USA.,5 Durham VA Geriatrics Research Education and Clinical Center (GRECC), Durham, NC, USA
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Bucci L, Ostan R, Cevenini E, Pini E, Scurti M, Vitale G, Mari D, Caruso C, Sansoni P, Fanelli F, Pasquali R, Gueresi P, Franceschi C, Monti D. Centenarians' offspring as a model of healthy aging: a reappraisal of the data on Italian subjects and a comprehensive overview. Aging (Albany NY) 2017; 8:510-9. [PMID: 26979133 PMCID: PMC4833142 DOI: 10.18632/aging.100912] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Within the scenario of an increasing life expectancy worldwide it is mandatory to identify determinants of healthy aging. Centenarian offspring (CO) is one of the most informative model to identify trajectories of healthy aging and their determinants (genetic and environmental), being representative of elderly in their 70th whose lifestyle can be still modified to attain a better health. This study is the first comprehensive investigation of the health status of 267 CO (mean age: 70.2 years) and adopts the innovative approach of comparing CO with 107 age-matched offspring of non-long-lived parents (hereafter indicated as NCO controls), recruited according to strict inclusion demographic criteria of Italian population. We adopted a multidimensional approach which integrates functional and cognitive assessment together with epidemiological and clinical data, including pro- and anti-inflammatory cytokines and adipokines, lipid profile, and insulin resistance. CO have a lower prevalence of stroke, cerebral thrombosis-hemorrhage, hypertension, hypercholesterolemia, and other minor diseases, lower BMI and waist circumference, a better functional and cognitive status and lower plasma level of FT4 compared to NCO controls. We conclude that a multidimensional approach is a reliable strategy to identify the health status of elderly at an age when interventions to modify their health trajectory are feasible.
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Affiliation(s)
- Laura Bucci
- Department of Experimental, Diagnostic and Specialty Medicine (DIMES) and Interdepartmental Centre "L. Galvani" (CIG), University of Bologna, 40126 Bologna, Italy
| | - Rita Ostan
- Department of Experimental, Diagnostic and Specialty Medicine (DIMES) and Interdepartmental Centre "L. Galvani" (CIG), University of Bologna, 40126 Bologna, Italy
| | - Elisa Cevenini
- Department of Experimental, Diagnostic and Specialty Medicine (DIMES) and Interdepartmental Centre "L. Galvani" (CIG), University of Bologna, 40126 Bologna, Italy
| | - Elisa Pini
- Department of Experimental, Diagnostic and Specialty Medicine (DIMES) and Interdepartmental Centre "L. Galvani" (CIG), University of Bologna, 40126 Bologna, Italy
| | - Maria Scurti
- Department of Experimental, Diagnostic and Specialty Medicine (DIMES) and Interdepartmental Centre "L. Galvani" (CIG), University of Bologna, 40126 Bologna, Italy
| | - Giovanni Vitale
- Department of Clinical Sciences and Community Health (DISCCO), University of Milan, 20122 Milan, Italy.,Laboratory of Endocrine and Metabolic Research, IRCCS Istituto Auxologico Italiano, Cusano Milanino (MI) 20095, Italy
| | - Daniela Mari
- Department of Clinical Sciences and Community Health (DISCCO), University of Milan, 20122 Milan, Italy.,Laboratory of Endocrine and Metabolic Research, IRCCS Istituto Auxologico Italiano, Cusano Milanino (MI) 20095, Italy.,Geriatric Unit, Fondazione Ca' Granda, IRCCS Ospedale Maggiore Policlinico, 20122 Milan, Italy
| | - Calogero Caruso
- Department of Pathobiology and Medical and Forensic Biotechnologies, University of Palermo, 90134 Palermo, Italy
| | - Paolo Sansoni
- Department of Clinical and Experimental Medicine, University of Parma, 43126 Parma, Italy
| | - Flaminia Fanelli
- Endocrinology Unit, and Department of Medical and Surgical Sciences and Center for Applied Biomedical Sciences, St Orsola-Malpighi Hospital, University of Bologna, 40138 Bologna, Italy
| | - Renato Pasquali
- Endocrinology Unit, and Department of Medical and Surgical Sciences and Center for Applied Biomedical Sciences, St Orsola-Malpighi Hospital, University of Bologna, 40138 Bologna, Italy
| | - Paola Gueresi
- Department of Statistical Sciences "Paolo Fortunati", University of Bologna, 40126 Bologna, Italy
| | - Claudio Franceschi
- Department of Experimental, Diagnostic and Specialty Medicine (DIMES) and Interdepartmental Centre "L. Galvani" (CIG), University of Bologna, 40126 Bologna, Italy
| | - Daniela Monti
- Department of Clinical, Experimental and Biomedical Sciences, University of Florence, 50134 Florence, Italy
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Perna S, Francis MD, Bologna C, Moncaglieri F, Riva A, Morazzoni P, Allegrini P, Isu A, Vigo B, Guerriero F, Rondanelli M. Performance of Edmonton Frail Scale on frailty assessment: its association with multi-dimensional geriatric conditions assessed with specific screening tools. BMC Geriatr 2017; 17:2. [PMID: 28049443 PMCID: PMC5209899 DOI: 10.1186/s12877-016-0382-3] [Citation(s) in RCA: 95] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2016] [Accepted: 11/25/2016] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND The aim of this study was to evaluate the performance of Edmonton Frail Scale (EFS) on frailty assessment in association with multi-dimensional conditions assessed with specific screening tools and to explore the prevalence of frailty by gender. METHODS We enrolled 366 hospitalised patients (women\men: 251\115), mean age 81.5 years. The EFS was given to the patients to evaluate their frailty. Then we collected data concerning cognitive status through Mini-Mental State Examination (MMSE), health status (evaluated with the number of diseases), functional independence (Barthel Index and Activities Daily Living; BI, ADL, IADL), use of drugs (counting of drugs taken every day), Mini Nutritional Assessment (MNA), Geriatric Depression Scale (GDS), Skeletal Muscle Index of sarcopenia (SMI), osteoporosis and functionality (Handgrip strength). RESULTS According with the EFS, the 19.7% of subjects were classified as non frail, 66.4% as apparently vulnerable and 13.9% with severe frailty. The EFS scores were associated with cognition (MMSE: β = 0.980; p < 0.01), functional independence (ADL: β = -0.512; p < 0.00); (IADL: β = -0.338; p < 0.01); use of medications (β = 0.110; p < 0.01); nutrition (MNA: β = -0.413; p < 0.01); mood (GDS: β = -0.324; p < 0.01); functional performance (Handgrip: β = -0.114, p < 0.01) (BI: β = -0.037; p < 0.01), but not with number of comorbidities (β = 0.108; p = 0.052). In osteoporotic patients versus not-osteoporotic patients the mean EFS score did not differ between groups (women: p = 0.365; men: p = 0.088), whereas in Sarcopenic versus not-Sarcopenic patients, there was a significant differences in women: p < 0.05. CONCLUSIONS This study suggests that measuring frailty with EFS is helpful and performance tool for stratifying the state of fragility in a group of institutionalized elderly. As matter of facts the EFS has been shown to be associated with several geriatric conditions such independence, drugs assumption, mood, mental, functional and nutritional status.
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Affiliation(s)
- Simone Perna
- Department of Public Health, Experimental and Forensic Medicine, Section of Human Nutrition and Dietetics, University of Pavia, Azienda di Servizi alla Persona di Pavia, Via Emilia 12, Pavia, Italy
| | - Matthew D’Arcy Francis
- Deprtment of Internal Medicine and Medical Therapy, Section of Geriatrics University of Pavia, Azienda di Servizi alla Persona, Pavia, Italy
| | - Chiara Bologna
- Department of Public Health, Experimental and Forensic Medicine, Section of Human Nutrition and Dietetics, University of Pavia, Azienda di Servizi alla Persona di Pavia, Via Emilia 12, Pavia, Italy
| | - Francesca Moncaglieri
- Department of Public Health, Experimental and Forensic Medicine, Section of Human Nutrition and Dietetics, University of Pavia, Azienda di Servizi alla Persona di Pavia, Via Emilia 12, Pavia, Italy
| | | | | | | | - Antonio Isu
- Department of Public Health, Experimental and Forensic Medicine, Section of Human Nutrition and Dietetics, University of Pavia, Azienda di Servizi alla Persona di Pavia, Via Emilia 12, Pavia, Italy
| | - Beatrice Vigo
- Department of Public Health, Experimental and Forensic Medicine, Section of Human Nutrition and Dietetics, University of Pavia, Azienda di Servizi alla Persona di Pavia, Via Emilia 12, Pavia, Italy
| | - Fabio Guerriero
- Deprtment of Internal Medicine and Medical Therapy, Section of Geriatrics University of Pavia, Azienda di Servizi alla Persona, Pavia, Italy
| | - Mariangela Rondanelli
- Department of Public Health, Experimental and Forensic Medicine, Section of Human Nutrition and Dietetics, University of Pavia, Azienda di Servizi alla Persona di Pavia, Via Emilia 12, Pavia, Italy
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Silva SLAD, Neri AL, Ferrioli E, Lourenço RA, Dias RC. Fenótipo de fragilidade: influência de cada item na determinação da fragilidade em idosos comunitários – Rede Fibra. CIENCIA & SAUDE COLETIVA 2016; 21:3483-3492. [DOI: 10.1590/1413-812320152111.23292015] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2015] [Accepted: 11/26/2015] [Indexed: 11/22/2022] Open
Abstract
Resumo O fenótipo de fragilidade é uma ferramenta utilizada para avaliação da fragilidade em idosos, composto pelos itens perda de peso, exaustão, baixo nível de atividade física, fraqueza muscular e lentidão na marcha. O objetivo deste estudo foi avaliar a participação de cada item na determinação da fragilidade em idosos brasileiros. A análise foi feita pela Regressão Logística Multinomial. A amostra total de 5532 idosos, selecionados aleatoriamente em diversas cidades brasileiras entre dezembro de 2008 e setembro de 2009, foi avaliada pelo fenótipo de fragilidade. Os itens mais frequentes na amostra foram o nível de atividade física, seguido da fraqueza muscular e lentidão da marcha. Os itens que apresentaram maior chance para o desenvolvimento da fragilidade foram a lentidão na marcha (OR = 10,50, IC95%8,55-12,90, p < 0,001) e a fraqueza muscular (OR = 7,31, IC95%6,02-8,86, p < 0,001). O modelo com os cinco itens explicou 99,6% da fragilidade na amostra. Tais resultados sugerem que o nível de atividade física, fraqueza muscular e lentidão na marcha são os itens que mais influenciam na determinação da fragilidade, mas a aplicação de todos os itens do fenótipo em conjunto é a melhor forma para a avaliação.
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Perioperative Medicine within the Context of Global Health: A Billion Shades of Grey, Weighing it up, and the Emperor of All Maladies. Int Anesthesiol Clin 2016; 54:4-18. [PMID: 27648887 DOI: 10.1097/aia.0000000000000114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Calado LB, Ferriolli E, Moriguti JC, Martinez EZ, Lima NKDC. Frailty syndrome in an independent urban population in Brazil (FIBRA study): a cross-sectional populational study. SAO PAULO MED J 2016; 134:0. [PMID: 27657509 PMCID: PMC10871852 DOI: 10.1590/1516-3180.2016.0078180516] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2015] [Revised: 09/21/2015] [Accepted: 05/18/2016] [Indexed: 11/21/2022] Open
Abstract
CONTEXT AND OBJECTIVE: Frailty is a multifactorial syndrome. The aim of this study was to determine the prevalence and characteristics of frailty syndrome in an elderly urban population. DESIGN AND SETTING: Cross-sectional study carried out at the homes of a randomized sample representing the independent elderly individuals of Ribeirão Preto, Brazil. METHODS: Sociodemographic characteristics, clinical data and criteria of the frailty phenotype were obtained at the subjects' homes; 385 individuals were evaluated. Frailty was defined based on detection of weight loss, exhaustion, weakness, slowness and low physical activity level. Individuals with three or more of these characteristics were classified as frail and those with one or two as pre-frail. Specific cutoff points for weakness, slowness and low physical activity level were calculated. RESULTS: The participants' mean age was 73.9 ± 6.5 years, and 64.7% were women. 12.5% had lost weight over the last year; 20.5% showed exhaustion, 17.1% slowness, 24.4% low physical activity level and 20.5% weakness. 9.1% were considered frail and 49.6% pre-frail. Frail subjects were older, attended more medical visits, had a higher chance of hospitalization within the last 12 months and had more cerebrovascular events, diabetes, neoplasms, osteoporosis and urinary and fecal incontinence. CONCLUSION: In this independent elderly population, there were numerous frail and pre-frail individuals. Frailty syndrome was associated with high morbidity. Cutoff points for weakness, slowness and low physical activity level should be adjusted for the population under study. It is essential to identify frail and pre-frail older individuals for appropriate interventions.
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Affiliation(s)
- Larissa Barradas Calado
- MD, MSc. Student in the Postgraduate Program on Internal Medicine, Department of Internal Medicine, Faculdade de Medicina de Ribeirão Preto (FMRP), Universidade de São Paulo (USP), Ribeirão Preto, SP, Brazil.
| | - Eduardo Ferriolli
- MD, PhD. Associate Professor, Division of General Internal Medicine and Geriatrics, Department of Internal Medicine, Faculdade de Medicina de Ribeirão Preto (FMRP), Universidade de São Paulo (USP), Ribeirão Preto, SP, Brazil.
| | - Júlio César Moriguti
- MD, PhD. Associate Professor, Division of General Internal Medicine and Geriatrics, Department of Internal Medicine, Faculdade de Medicina de Ribeirão Preto (FMRP), Universidade de São Paulo (USP), Ribeirão Preto, SP, Brazil.
| | - Edson Zangiacomi Martinez
- MD, PhD. Associate Professor, Department of Social Medicine, Faculdade de Medicina de Ribeirão Preto (FMRP), Universidade de São Paulo (USP), Ribeirão Preto, SP, Brazil.
| | - Nereida Kilza da Costa Lima
- MD, PhD. Associate Professor, Division of General Internal Medicine and Geriatrics, Department of Internal Medicine, Faculdade de Medicina de Ribeirão Preto (FMRP), Universidade de São Paulo (USP), Ribeirão Preto, SP, Brazil.
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Magnani JW, Wang N, Benjamin EJ, Garcia ME, Bauer DC, Butler J, Ellinor PT, Kritchevsky S, Marcus GM, Newman A, Phillips CL, Sasai H, Satterfield S, Sullivan LM, Harris TB. Atrial Fibrillation and Declining Physical Performance in Older Adults: The Health, Aging, and Body Composition Study. Circ Arrhythm Electrophysiol 2016; 9:e003525. [PMID: 27052031 DOI: 10.1161/circep.115.003525] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2015] [Accepted: 02/18/2016] [Indexed: 12/19/2022]
Abstract
BACKGROUND Age is the foremost risk factor for atrial fibrillation (AF), and AF has a rising prevalence in older adults. How AF may contribute to decline in physical performance in older adults has had limited investigation. We examined the associations of incident AF and 4-year interval declines in physical performance at ages 70, 74, 78, and 82 years in the Health, Aging, and Body Composition (Health ABC) Study. METHODS AND RESULTS Health ABC is a prospective cohort of community-dwelling older adults (n=3075). The study conducted serial assessments of physical performance with the Health ABC physical performance battery (scored 0-4), grip strength, 2-minute walk distance, and 400-m walking time. Incident AF was identified from the Center for Medicare and Medicaid Services and related to 4-year interval decline in physical performance. After exclusions, the analysis included 2753 Health ABC participants (52% women, 41% black race). Participants with AF had a significantly greater 4-year physical performance battery decline than those without AF at age 70, 74, 78, and 82, with mean estimated decline ranging from -0.08 to -0.10 U (95% confidence interval, -0.18 to -0.01; P<0.05 for all estimates) after multivariable adjustment. Grip strength, walk distance, and walk time similarly showed significantly greater declines at each 4-year age interval in participants with AF. CONCLUSIONS In community-based cohort older adults, incident AF was associated with increased risk of decline in physical performance. Further research is essential to identify mechanisms and preventive strategies for how AF may contribute toward declining physical performance in older adults.
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Affiliation(s)
- Jared W Magnani
- From the Section of Cardiovascular Medicine, Boston University School of Medicine & National Heart, Lung and Blood Institute and Boston University's Framingham Heart Study, MA (J.W.M., E.J.B.); Department of Biostatistics, Boston University School of Public Health, MA (N.W., L.M.S.); Intramural Research Program, National Institute on Aging, National Institutes of Health, Bethesda, MD (M.E.G., C.L.P.); Division of General Internal Medicine, University of California, San Francisco (D.C.B.); Stony Brook University, NY (J.B.); Cardiovascular Research Center, Massachusetts General Hospital, Charlestown & Cardiac Arrhythmia Service, Massachusetts General Hospital, Boston (P.T.E.); Program in Population and Medical Genetics, The Broad Institute of Harvard and MIT, Cambridge, MA (P.T.E.); Sticht Center on Aging, Wake Forest School of Medicine, Winston-Salem, NC (S.K.); Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine, University of California, San Francisco (G.M.M.); Department of Epidemiology, University of Pittsburgh, PA (A.N.); University of Tsukuba Faculty of Medicine, Tsukuba, Japan (H.S.); Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis (S.S.); and Geriatric Epidemiology Section, National Institute on Aging, Bethesda, MD (T.B.H.).
| | - Na Wang
- From the Section of Cardiovascular Medicine, Boston University School of Medicine & National Heart, Lung and Blood Institute and Boston University's Framingham Heart Study, MA (J.W.M., E.J.B.); Department of Biostatistics, Boston University School of Public Health, MA (N.W., L.M.S.); Intramural Research Program, National Institute on Aging, National Institutes of Health, Bethesda, MD (M.E.G., C.L.P.); Division of General Internal Medicine, University of California, San Francisco (D.C.B.); Stony Brook University, NY (J.B.); Cardiovascular Research Center, Massachusetts General Hospital, Charlestown & Cardiac Arrhythmia Service, Massachusetts General Hospital, Boston (P.T.E.); Program in Population and Medical Genetics, The Broad Institute of Harvard and MIT, Cambridge, MA (P.T.E.); Sticht Center on Aging, Wake Forest School of Medicine, Winston-Salem, NC (S.K.); Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine, University of California, San Francisco (G.M.M.); Department of Epidemiology, University of Pittsburgh, PA (A.N.); University of Tsukuba Faculty of Medicine, Tsukuba, Japan (H.S.); Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis (S.S.); and Geriatric Epidemiology Section, National Institute on Aging, Bethesda, MD (T.B.H.)
| | - Emelia J Benjamin
- From the Section of Cardiovascular Medicine, Boston University School of Medicine & National Heart, Lung and Blood Institute and Boston University's Framingham Heart Study, MA (J.W.M., E.J.B.); Department of Biostatistics, Boston University School of Public Health, MA (N.W., L.M.S.); Intramural Research Program, National Institute on Aging, National Institutes of Health, Bethesda, MD (M.E.G., C.L.P.); Division of General Internal Medicine, University of California, San Francisco (D.C.B.); Stony Brook University, NY (J.B.); Cardiovascular Research Center, Massachusetts General Hospital, Charlestown & Cardiac Arrhythmia Service, Massachusetts General Hospital, Boston (P.T.E.); Program in Population and Medical Genetics, The Broad Institute of Harvard and MIT, Cambridge, MA (P.T.E.); Sticht Center on Aging, Wake Forest School of Medicine, Winston-Salem, NC (S.K.); Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine, University of California, San Francisco (G.M.M.); Department of Epidemiology, University of Pittsburgh, PA (A.N.); University of Tsukuba Faculty of Medicine, Tsukuba, Japan (H.S.); Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis (S.S.); and Geriatric Epidemiology Section, National Institute on Aging, Bethesda, MD (T.B.H.)
| | - Melissa E Garcia
- From the Section of Cardiovascular Medicine, Boston University School of Medicine & National Heart, Lung and Blood Institute and Boston University's Framingham Heart Study, MA (J.W.M., E.J.B.); Department of Biostatistics, Boston University School of Public Health, MA (N.W., L.M.S.); Intramural Research Program, National Institute on Aging, National Institutes of Health, Bethesda, MD (M.E.G., C.L.P.); Division of General Internal Medicine, University of California, San Francisco (D.C.B.); Stony Brook University, NY (J.B.); Cardiovascular Research Center, Massachusetts General Hospital, Charlestown & Cardiac Arrhythmia Service, Massachusetts General Hospital, Boston (P.T.E.); Program in Population and Medical Genetics, The Broad Institute of Harvard and MIT, Cambridge, MA (P.T.E.); Sticht Center on Aging, Wake Forest School of Medicine, Winston-Salem, NC (S.K.); Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine, University of California, San Francisco (G.M.M.); Department of Epidemiology, University of Pittsburgh, PA (A.N.); University of Tsukuba Faculty of Medicine, Tsukuba, Japan (H.S.); Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis (S.S.); and Geriatric Epidemiology Section, National Institute on Aging, Bethesda, MD (T.B.H.)
| | - Douglas C Bauer
- From the Section of Cardiovascular Medicine, Boston University School of Medicine & National Heart, Lung and Blood Institute and Boston University's Framingham Heart Study, MA (J.W.M., E.J.B.); Department of Biostatistics, Boston University School of Public Health, MA (N.W., L.M.S.); Intramural Research Program, National Institute on Aging, National Institutes of Health, Bethesda, MD (M.E.G., C.L.P.); Division of General Internal Medicine, University of California, San Francisco (D.C.B.); Stony Brook University, NY (J.B.); Cardiovascular Research Center, Massachusetts General Hospital, Charlestown & Cardiac Arrhythmia Service, Massachusetts General Hospital, Boston (P.T.E.); Program in Population and Medical Genetics, The Broad Institute of Harvard and MIT, Cambridge, MA (P.T.E.); Sticht Center on Aging, Wake Forest School of Medicine, Winston-Salem, NC (S.K.); Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine, University of California, San Francisco (G.M.M.); Department of Epidemiology, University of Pittsburgh, PA (A.N.); University of Tsukuba Faculty of Medicine, Tsukuba, Japan (H.S.); Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis (S.S.); and Geriatric Epidemiology Section, National Institute on Aging, Bethesda, MD (T.B.H.)
| | - Javed Butler
- From the Section of Cardiovascular Medicine, Boston University School of Medicine & National Heart, Lung and Blood Institute and Boston University's Framingham Heart Study, MA (J.W.M., E.J.B.); Department of Biostatistics, Boston University School of Public Health, MA (N.W., L.M.S.); Intramural Research Program, National Institute on Aging, National Institutes of Health, Bethesda, MD (M.E.G., C.L.P.); Division of General Internal Medicine, University of California, San Francisco (D.C.B.); Stony Brook University, NY (J.B.); Cardiovascular Research Center, Massachusetts General Hospital, Charlestown & Cardiac Arrhythmia Service, Massachusetts General Hospital, Boston (P.T.E.); Program in Population and Medical Genetics, The Broad Institute of Harvard and MIT, Cambridge, MA (P.T.E.); Sticht Center on Aging, Wake Forest School of Medicine, Winston-Salem, NC (S.K.); Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine, University of California, San Francisco (G.M.M.); Department of Epidemiology, University of Pittsburgh, PA (A.N.); University of Tsukuba Faculty of Medicine, Tsukuba, Japan (H.S.); Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis (S.S.); and Geriatric Epidemiology Section, National Institute on Aging, Bethesda, MD (T.B.H.)
| | - Patrick T Ellinor
- From the Section of Cardiovascular Medicine, Boston University School of Medicine & National Heart, Lung and Blood Institute and Boston University's Framingham Heart Study, MA (J.W.M., E.J.B.); Department of Biostatistics, Boston University School of Public Health, MA (N.W., L.M.S.); Intramural Research Program, National Institute on Aging, National Institutes of Health, Bethesda, MD (M.E.G., C.L.P.); Division of General Internal Medicine, University of California, San Francisco (D.C.B.); Stony Brook University, NY (J.B.); Cardiovascular Research Center, Massachusetts General Hospital, Charlestown & Cardiac Arrhythmia Service, Massachusetts General Hospital, Boston (P.T.E.); Program in Population and Medical Genetics, The Broad Institute of Harvard and MIT, Cambridge, MA (P.T.E.); Sticht Center on Aging, Wake Forest School of Medicine, Winston-Salem, NC (S.K.); Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine, University of California, San Francisco (G.M.M.); Department of Epidemiology, University of Pittsburgh, PA (A.N.); University of Tsukuba Faculty of Medicine, Tsukuba, Japan (H.S.); Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis (S.S.); and Geriatric Epidemiology Section, National Institute on Aging, Bethesda, MD (T.B.H.)
| | - Stephen Kritchevsky
- From the Section of Cardiovascular Medicine, Boston University School of Medicine & National Heart, Lung and Blood Institute and Boston University's Framingham Heart Study, MA (J.W.M., E.J.B.); Department of Biostatistics, Boston University School of Public Health, MA (N.W., L.M.S.); Intramural Research Program, National Institute on Aging, National Institutes of Health, Bethesda, MD (M.E.G., C.L.P.); Division of General Internal Medicine, University of California, San Francisco (D.C.B.); Stony Brook University, NY (J.B.); Cardiovascular Research Center, Massachusetts General Hospital, Charlestown & Cardiac Arrhythmia Service, Massachusetts General Hospital, Boston (P.T.E.); Program in Population and Medical Genetics, The Broad Institute of Harvard and MIT, Cambridge, MA (P.T.E.); Sticht Center on Aging, Wake Forest School of Medicine, Winston-Salem, NC (S.K.); Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine, University of California, San Francisco (G.M.M.); Department of Epidemiology, University of Pittsburgh, PA (A.N.); University of Tsukuba Faculty of Medicine, Tsukuba, Japan (H.S.); Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis (S.S.); and Geriatric Epidemiology Section, National Institute on Aging, Bethesda, MD (T.B.H.)
| | - Gregory M Marcus
- From the Section of Cardiovascular Medicine, Boston University School of Medicine & National Heart, Lung and Blood Institute and Boston University's Framingham Heart Study, MA (J.W.M., E.J.B.); Department of Biostatistics, Boston University School of Public Health, MA (N.W., L.M.S.); Intramural Research Program, National Institute on Aging, National Institutes of Health, Bethesda, MD (M.E.G., C.L.P.); Division of General Internal Medicine, University of California, San Francisco (D.C.B.); Stony Brook University, NY (J.B.); Cardiovascular Research Center, Massachusetts General Hospital, Charlestown & Cardiac Arrhythmia Service, Massachusetts General Hospital, Boston (P.T.E.); Program in Population and Medical Genetics, The Broad Institute of Harvard and MIT, Cambridge, MA (P.T.E.); Sticht Center on Aging, Wake Forest School of Medicine, Winston-Salem, NC (S.K.); Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine, University of California, San Francisco (G.M.M.); Department of Epidemiology, University of Pittsburgh, PA (A.N.); University of Tsukuba Faculty of Medicine, Tsukuba, Japan (H.S.); Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis (S.S.); and Geriatric Epidemiology Section, National Institute on Aging, Bethesda, MD (T.B.H.)
| | - Anne Newman
- From the Section of Cardiovascular Medicine, Boston University School of Medicine & National Heart, Lung and Blood Institute and Boston University's Framingham Heart Study, MA (J.W.M., E.J.B.); Department of Biostatistics, Boston University School of Public Health, MA (N.W., L.M.S.); Intramural Research Program, National Institute on Aging, National Institutes of Health, Bethesda, MD (M.E.G., C.L.P.); Division of General Internal Medicine, University of California, San Francisco (D.C.B.); Stony Brook University, NY (J.B.); Cardiovascular Research Center, Massachusetts General Hospital, Charlestown & Cardiac Arrhythmia Service, Massachusetts General Hospital, Boston (P.T.E.); Program in Population and Medical Genetics, The Broad Institute of Harvard and MIT, Cambridge, MA (P.T.E.); Sticht Center on Aging, Wake Forest School of Medicine, Winston-Salem, NC (S.K.); Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine, University of California, San Francisco (G.M.M.); Department of Epidemiology, University of Pittsburgh, PA (A.N.); University of Tsukuba Faculty of Medicine, Tsukuba, Japan (H.S.); Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis (S.S.); and Geriatric Epidemiology Section, National Institute on Aging, Bethesda, MD (T.B.H.)
| | - Caroline L Phillips
- From the Section of Cardiovascular Medicine, Boston University School of Medicine & National Heart, Lung and Blood Institute and Boston University's Framingham Heart Study, MA (J.W.M., E.J.B.); Department of Biostatistics, Boston University School of Public Health, MA (N.W., L.M.S.); Intramural Research Program, National Institute on Aging, National Institutes of Health, Bethesda, MD (M.E.G., C.L.P.); Division of General Internal Medicine, University of California, San Francisco (D.C.B.); Stony Brook University, NY (J.B.); Cardiovascular Research Center, Massachusetts General Hospital, Charlestown & Cardiac Arrhythmia Service, Massachusetts General Hospital, Boston (P.T.E.); Program in Population and Medical Genetics, The Broad Institute of Harvard and MIT, Cambridge, MA (P.T.E.); Sticht Center on Aging, Wake Forest School of Medicine, Winston-Salem, NC (S.K.); Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine, University of California, San Francisco (G.M.M.); Department of Epidemiology, University of Pittsburgh, PA (A.N.); University of Tsukuba Faculty of Medicine, Tsukuba, Japan (H.S.); Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis (S.S.); and Geriatric Epidemiology Section, National Institute on Aging, Bethesda, MD (T.B.H.)
| | - Hiroyuki Sasai
- From the Section of Cardiovascular Medicine, Boston University School of Medicine & National Heart, Lung and Blood Institute and Boston University's Framingham Heart Study, MA (J.W.M., E.J.B.); Department of Biostatistics, Boston University School of Public Health, MA (N.W., L.M.S.); Intramural Research Program, National Institute on Aging, National Institutes of Health, Bethesda, MD (M.E.G., C.L.P.); Division of General Internal Medicine, University of California, San Francisco (D.C.B.); Stony Brook University, NY (J.B.); Cardiovascular Research Center, Massachusetts General Hospital, Charlestown & Cardiac Arrhythmia Service, Massachusetts General Hospital, Boston (P.T.E.); Program in Population and Medical Genetics, The Broad Institute of Harvard and MIT, Cambridge, MA (P.T.E.); Sticht Center on Aging, Wake Forest School of Medicine, Winston-Salem, NC (S.K.); Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine, University of California, San Francisco (G.M.M.); Department of Epidemiology, University of Pittsburgh, PA (A.N.); University of Tsukuba Faculty of Medicine, Tsukuba, Japan (H.S.); Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis (S.S.); and Geriatric Epidemiology Section, National Institute on Aging, Bethesda, MD (T.B.H.)
| | - Suzanne Satterfield
- From the Section of Cardiovascular Medicine, Boston University School of Medicine & National Heart, Lung and Blood Institute and Boston University's Framingham Heart Study, MA (J.W.M., E.J.B.); Department of Biostatistics, Boston University School of Public Health, MA (N.W., L.M.S.); Intramural Research Program, National Institute on Aging, National Institutes of Health, Bethesda, MD (M.E.G., C.L.P.); Division of General Internal Medicine, University of California, San Francisco (D.C.B.); Stony Brook University, NY (J.B.); Cardiovascular Research Center, Massachusetts General Hospital, Charlestown & Cardiac Arrhythmia Service, Massachusetts General Hospital, Boston (P.T.E.); Program in Population and Medical Genetics, The Broad Institute of Harvard and MIT, Cambridge, MA (P.T.E.); Sticht Center on Aging, Wake Forest School of Medicine, Winston-Salem, NC (S.K.); Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine, University of California, San Francisco (G.M.M.); Department of Epidemiology, University of Pittsburgh, PA (A.N.); University of Tsukuba Faculty of Medicine, Tsukuba, Japan (H.S.); Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis (S.S.); and Geriatric Epidemiology Section, National Institute on Aging, Bethesda, MD (T.B.H.)
| | - Lisa M Sullivan
- From the Section of Cardiovascular Medicine, Boston University School of Medicine & National Heart, Lung and Blood Institute and Boston University's Framingham Heart Study, MA (J.W.M., E.J.B.); Department of Biostatistics, Boston University School of Public Health, MA (N.W., L.M.S.); Intramural Research Program, National Institute on Aging, National Institutes of Health, Bethesda, MD (M.E.G., C.L.P.); Division of General Internal Medicine, University of California, San Francisco (D.C.B.); Stony Brook University, NY (J.B.); Cardiovascular Research Center, Massachusetts General Hospital, Charlestown & Cardiac Arrhythmia Service, Massachusetts General Hospital, Boston (P.T.E.); Program in Population and Medical Genetics, The Broad Institute of Harvard and MIT, Cambridge, MA (P.T.E.); Sticht Center on Aging, Wake Forest School of Medicine, Winston-Salem, NC (S.K.); Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine, University of California, San Francisco (G.M.M.); Department of Epidemiology, University of Pittsburgh, PA (A.N.); University of Tsukuba Faculty of Medicine, Tsukuba, Japan (H.S.); Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis (S.S.); and Geriatric Epidemiology Section, National Institute on Aging, Bethesda, MD (T.B.H.)
| | - Tamara B Harris
- From the Section of Cardiovascular Medicine, Boston University School of Medicine & National Heart, Lung and Blood Institute and Boston University's Framingham Heart Study, MA (J.W.M., E.J.B.); Department of Biostatistics, Boston University School of Public Health, MA (N.W., L.M.S.); Intramural Research Program, National Institute on Aging, National Institutes of Health, Bethesda, MD (M.E.G., C.L.P.); Division of General Internal Medicine, University of California, San Francisco (D.C.B.); Stony Brook University, NY (J.B.); Cardiovascular Research Center, Massachusetts General Hospital, Charlestown & Cardiac Arrhythmia Service, Massachusetts General Hospital, Boston (P.T.E.); Program in Population and Medical Genetics, The Broad Institute of Harvard and MIT, Cambridge, MA (P.T.E.); Sticht Center on Aging, Wake Forest School of Medicine, Winston-Salem, NC (S.K.); Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine, University of California, San Francisco (G.M.M.); Department of Epidemiology, University of Pittsburgh, PA (A.N.); University of Tsukuba Faculty of Medicine, Tsukuba, Japan (H.S.); Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis (S.S.); and Geriatric Epidemiology Section, National Institute on Aging, Bethesda, MD (T.B.H.)
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Graffeo CS, Perry A, Puffer RC, Carlstrom LP, Chang W, Mallory GW, Clarke MJ. Odontoid Fractures and the Silver Tsunami: Evidence and Practice in the Very Elderly. Neurosurgery 2016; 63 Suppl 1:113-117. [PMID: 27399375 DOI: 10.1227/neu.0000000000001279] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Affiliation(s)
| | - Avital Perry
- Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota
| | - Ross C Puffer
- Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota
| | | | - Wendy Chang
- Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota
| | - Grant W Mallory
- Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota
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81
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Chamberlain AM, Finney Rutten LJ, Manemann SM, Yawn BP, Jacobson DJ, Fan C, Grossardt BR, Roger VL, St Sauver JL. Frailty Trajectories in an Elderly Population-Based Cohort. J Am Geriatr Soc 2016; 64:285-92. [PMID: 26889838 DOI: 10.1111/jgs.13944] [Citation(s) in RCA: 67] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
OBJECTIVES To identify distinct frailty trajectories (clusters of individuals following a similar progression of frailty over time) in an aging population and to estimate associations between frailty trajectories and emergency department visits, hospitalizations, and all-cause mortality. DESIGN Population-based cohort study. SETTING Olmsted County, Minnesota. PARTICIPANTS Olmsted County, Minnesota residents aged 60-89 in 2005. MEASUREMENTS Longitudinal changes in frailty between 2005 and 2012 were measured by constructing a yearly Rockwood frailty index incorporating body mass index, 17 comorbidities, and 14 activities of daily living. The frailty index measures variation in health status as the proportion of deficits present of the 32 considered (range 0-1). RESULTS Of the 16,443 Olmsted County residents aged 60-89 in 2005, 12,270 (74.6%) had at least 3 years of frailty index measures and were retained for analysis. The median baseline frailty index increased with age (0.11 for 60-69, 0.14 for 70-79, 0.19 for 80-89). Three distinct frailty trajectories were identified in individuals aged 60-69 at baseline and two trajectories in those aged 70-79 and 80-89. Within each decade of age, increasing frailty trajectories were associated with greater risks of emergency department visits, hospitalization, and all-cause mortality, even after adjustment for baseline frailty index. CONCLUSION The number of frailty trajectories differed according to age. Within each age group, those in the highest frailty trajectory had greater healthcare use and worse survival. Frailty trajectories may offer a way to target aging individuals at high risk of hospitalization or death for therapeutic or preventive interventions.
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Affiliation(s)
| | - Lila J Finney Rutten
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota.,Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, Minnesota
| | - Sheila M Manemann
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | - Barbara P Yawn
- Department of Research, Olmsted Medical Center, Rochester, Minnesota
| | - Debra J Jacobson
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota.,Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, Minnesota
| | - Chun Fan
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | | | - Véronique L Roger
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota.,Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, Minnesota.,Division of Cardiovascular Diseases, Mayo Clinic, Rochester, Minnesota
| | - Jennifer L St Sauver
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota.,Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, Minnesota
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82
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Functional status in older women diagnosed with pelvic organ prolapse. Am J Obstet Gynecol 2016; 214:613.e1-7. [PMID: 26704893 DOI: 10.1016/j.ajog.2015.11.038] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2015] [Revised: 11/20/2015] [Accepted: 11/30/2015] [Indexed: 11/22/2022]
Abstract
BACKGROUND Functional status plays an important role in the comprehensive characterization of older adults. Functional limitations are associated with an increased risk of adverse treatment outcomes, but there are limited data on the prevalence of functional limitations in older women with pelvic floor disorders. OBJECTIVE The aim of the study was to describe the prevalence of functional limitations based on health status in older women with pelvic organ prolapse (POP). STUDY DESIGN This pooled, cross-sectional study utilized data from the linked Health and Retirement Study and Medicare files from 1992 through 2008. The analysis included 890 women age ≥65 years with POP. We assessed self-reported functional status, categorized in strength, upper and lower body mobility, activities of daily living (ADL), and instrumental ADL (IADL) domains. Functional limitations were evaluated and stratified by respondents self-reported general health status. Descriptive statistics were used to compare categorical and continuous variables, and logistic regression was used to measure differences in the odds of functional limitation by increasing age. RESULTS The prevalence of functional limitations was 76.2% in strength, 44.9% in upper and 65.8% in lower body mobility, 4.5% in ADL, and 13.6% in IADL. Limitations were more prevalent in women with poor or fair health status than in women with good health status, including 91.5% vs 69.9% in strength, 72.9% vs 33.5% in upper and 88.0% vs 56.8% in lower body mobility, 11.6% vs 0.9% in ADL, and 30.6% vs 6.7% in IADL; all P < .01. The odds of all functional limitations also increased significantly with advancing age. CONCLUSION Functional limitations, especially in strength and body mobility domains, are highly prevalent in older women with POP, particularly in those with poor or fair self-reported health status. Future research is necessary to evaluate if functional status affects clinical outcomes in pelvic reconstructive and gynecologic surgery and whether it should be routinely assessed in clinical decision-making when treating older women with POP.
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83
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Lin HR, Otsubo T, Sasaki N, Imanaka Y. The determinants of long-term care expenditure and their interactions. INTERNATIONAL JOURNAL OF HEALTHCARE MANAGEMENT 2016. [DOI: 10.1080/20479700.2016.1141469] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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84
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Zhang T, Jiang W, Song X, Zhang D. The association between visual impairment and the risk of mortality: a meta-analysis of prospective studies. J Epidemiol Community Health 2016; 70:836-42. [DOI: 10.1136/jech-2016-207331] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2016] [Accepted: 03/28/2016] [Indexed: 12/31/2022]
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85
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Puts MTE, Toubasi S, Atkinson E, Ayala AP, Andrew M, Ashe MC, Bergman H, Ploeg J, McGilton KS. Interventions to prevent or reduce the level of frailty in community-dwelling older adults: a protocol for a scoping review of the literature and international policies. BMJ Open 2016; 6:e010959. [PMID: 26936911 PMCID: PMC4785293 DOI: 10.1136/bmjopen-2015-010959] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2015] [Accepted: 02/11/2016] [Indexed: 12/16/2022] Open
Abstract
INTRODUCTION With ageing comes increased vulnerability such that older adults' ability to recover from acute illnesses, fall-related injuries and other stresses related to the physical ageing processes declines. This increased vulnerability, also known as frailty, is common in older adults and associated with increased healthcare service use and adverse health outcomes. Currently, there is no overview of available interventions to prevent or reduce the level of frailty (as defined by study's authors) which will help healthcare providers in community settings caring for older adults. We will address this gap by reviewing interventions and international policies that are designed to prevent or reduce the level of frailty in community-dwelling older adults. METHODS AND ANALYSIS We will conduct a scoping review using the updated guidelines of Arksey and O'Malley to systematically search the peer-reviewed journal articles to identify interventions that aimed to prevent or reduce the level of frailty. We will search grey literature for international policies. The 6-stage scoping review model involves: (1) identifying the research question; (2) identifying relevant studies; (3) selecting studies; (4) charting the data; (5) collating, summarising and reporting the results and (6) consulting with key stakeholders. ETHICS AND DISSEMINATION Our scoping review will use robust methodology to search for available interventions focused on preventing or reducing the level of frailty in community-dwelling older adults. We will consult with stakeholders to find out whether they find the frailty interventions/policies useful and to identify the barriers and facilitators to their implementation in Canada. We will disseminate our findings to relevant stakeholders at local, national and international levels by presenting at relevant meetings and publishing the findings. Our review will identify gaps in research and provide healthcare providers and policymakers with an overview of interventions that can be implemented to prevent or postpone frailty.
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Affiliation(s)
- Martine T E Puts
- Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, Toronto, Ontario, Canada
| | - Samar Toubasi
- Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, Toronto, Ontario, Canada
| | - Esther Atkinson
- Institute for the History and Philosophy of Science and Technology, University of Toronto, Toronto, Ontario, Canada
| | - Ana Patricia Ayala
- Gerstein Information Science Centre, University of Toronto Libraries, University of Toronto, Toronto, Ontario, Canada
| | - Melissa Andrew
- Division of Geriatric Medicine, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Maureen C Ashe
- Department of Family Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Howard Bergman
- Department of Family Medicine, McGill University, Montreal, Quebec, Canada
| | - Jenny Ploeg
- School of Nursing, McMaster University, Hamilton, Ontario, Canada
| | - Katherine S McGilton
- Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, Toronto, Ontario, Canada Toronto Rehabilitation Institute, University Health Network, Toronto, Ontario, Canada
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86
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Orkaby AR, Forman DE. Assessing Risks and Benefits of Invasive Cardiac Procedures in Patients with Advanced Multimorbidity. Clin Geriatr Med 2016; 32:359-71. [PMID: 27113152 DOI: 10.1016/j.cger.2016.01.004] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Age-related cardiovascular disease in older adults is more likely to occur in combination with other age-related diseases, with mounting interactive complexity as multiple morbidities accumulate. Although invasive cardiac procedures are frequently recommended for cardiovascular disease, their value is less certain in the context of age-related intricacies of care. Tools for risk assessment before invasive procedures are insensitive to risks corresponding to the unique challenges of older adults. Recognizing multimorbidity and other age-related risks provides opportunities to intervene and moderate dangers. By refocusing risk assessment in terms of patient-centered goals, the fundamental utility of invasive cardiac procedures may be reconsidered and alternative therapies prioritized.
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Affiliation(s)
- Ariela R Orkaby
- Division of Cardiology, VA Boston Healthcare System, 400 Veterans of Foreign Wars Pkwy, West Roxbury, MA 02132, USA; Division of Aging, Brigham & Women's Hospital, 1620 Tremont Street, Boston, MA 02120, USA
| | - Daniel E Forman
- Section of Geriatric Cardiology, University of Pittsburgh Medical Center, 3471 Fifth Avenue, Suite 500, Pittsburgh, PA 15213, USA; Geriatric Research, Education, and Clinical Center, VA Pittsburgh Healthcare System, University Dr C, Pittsburgh, PA 15240, USA.
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87
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Soler V, Sourdet S, Balardy L, Abellan van Kan G, Brechemier D, Rougé-Bugat ME, Tavassoli N, Cassagne M, Malecaze F, Nourhashémi F, Vellas B. Visual Impairment Screening at the Geriatric Frailty Clinic for Assessment of Frailty and Prevention of Disability at the Gérontopôle. J Nutr Health Aging 2016; 20:870-877. [PMID: 27709237 DOI: 10.1007/s12603-015-0648-z] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVES To evaluate visual performance and factors associated with abnormal vision in patients screened for frailty at the Geriatric Frailty Clinic (GFC) for Assessment of Frailty and Prevention of Disability at Toulouse University Hospital. DESIGN Retrospective, observational cross-sectional, single-centre study. SETTING Institutional practice. PARTICIPANTS Patients were screened for frailty during a single-day hospital stay between October 2011 and October 2014 (n = 1648). MEASUREMENTS Collected medical records included sociodemographic data (including living environment and educational level), anthropometric data, and clinical data. The general evaluation included the patient's functional status using the Activities of Daily Living (ADL) scale and the Instrumental Activity of Daily Living (IADL) scale, the Mini-Mental State Examination (MMSE) for cognition testing, and the Short Physical Performance Battery (SPPB) for physical performance. We also examined Body Mass Index (BMI), the Mini-Nutritional Assessment (MNA), and the Hearing Handicap Inventory for the Elderly Screening (HHIE-S) tool. The ophthalmologic evaluation included assessing visual acuity using the Snellen decimal chart for distant vision, and the Parinaud chart for near vision. Patients were divided into groups based on normal distant/near vision (NDV and NNV groups) and abnormal distant/near vision (ADV and ANV groups). Abnormal distant or near vision was defined as visual acuity inferior to 20/40 or superior to a Parinaud score of 2, in at least one eye. Associations with frailty-associated factors were evaluated in both groups. RESULTS The mean age of the population was 82.6 ± 6.2 years. The gender distribution was 1,061 females (64.4%) and 587 males (35.6%). According to the Fried criteria, 619 patients (41.1%) were pre-frail and 771 (51.1%) were frail. Distant and near vision data were available for 1425 and 1426 patients, respectively. Distant vision was abnormal for 437 patients (30.7%). Near vision was abnormal for 199 patients (14%). Multiple regression analysis showed that abnormal distant vision as well as abnormal near vision were independently associated with greater age (P < 0.01), lower educational level (P < 0.05), lower performance on the MMSE (P < 0.001), and lower autonomy (P < 0.02), after controlling for age, gender, educational level, Fried criteria, and MMSE score. CONCLUSION The high prevalence of visual disorders observed in the study population and their association with lower autonomy and cognitive impairment emphasises the need for systematic screening of visual impairments in the elderly. Frailty was not found to be independently associated with abnormal vision.
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Affiliation(s)
- V Soler
- Vincent Soler, Retina Unit, Ophthalmology Department, Hôpital Pierre Paul Riquet, Place du Docteur Baylac, TSA 40031, 31059 TOULOUSE Cedex 9, France, Phone number: (+33)-5-61-77-71-74, Fax number: (+33)-5-34-55-74-71, Email address :
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88
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Kim SH, Choi H, Won CW, Kim BS. Optimal Cutoff Points of Anthropometric Parameters to Identify High Coronary Heart Disease Risk in Korean Adults. J Korean Med Sci 2016; 31:61-6. [PMID: 26770039 PMCID: PMC4712581 DOI: 10.3346/jkms.2016.31.1.61] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2015] [Accepted: 09/15/2015] [Indexed: 12/12/2022] Open
Abstract
Several published studies have reported the need to change the cutoff points of anthropometric indices for obesity. We therefore conducted a cross-sectional study to estimate anthropometric cutoff points predicting high coronary heart disease (CHD) risk in Korean adults. We analyzed the Korean National Health and Nutrition Examination Survey data from 2007 to 2010. A total of 21,399 subjects aged 20 to 79 yr were included in this study (9,204 men and 12,195 women). We calculated the 10-yr Framingham coronary heart disease risk score for all individuals. We then estimated receiver-operating characteristic (ROC) curves for body mass index (BMI), waist circumference, and waist-to-height ratio to predict a 10-yr CHD risk of 20% or more. For sensitivity analysis, we conducted the same analysis for a 10-yr CHD risk of 10% or more. For a CHD risk of 20% or more, the area under the curve of waist-to-height ratio was the highest, followed by waist circumference and BMI. The optimal cutoff points in men and women were 22.7 kg/m(2) and 23.3 kg/m(2) for BMI, 83.2 cm and 79.7 cm for waist circumference, and 0.50 and 0.52 for waist-to-height ratio, respectively. In sensitivity analysis, the results were the same as those reported above except for BMI in women. Our results support the re-classification of anthropometric indices and suggest the clinical use of waist-to-height ratio as a marker for obesity in Korean adults.
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Affiliation(s)
- Sang Hyuck Kim
- Department of Family Medicine, Graduate School, Kyung Hee University, Seoul, Korea
| | - Hyunrim Choi
- Department of Family Medicine, Graduate School, Kyung Hee University, Seoul, Korea
| | - Chang Won Won
- Department of Family Medicine, Graduate School, Kyung Hee University, Seoul, Korea
| | - Byung-Sung Kim
- Department of Family Medicine, Graduate School, Kyung Hee University, Seoul, Korea
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89
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Hubbard R, Ng K. Australian and New Zealand Society for Geriatric Medicine: position statement - frailty in older people. Australas J Ageing 2015; 34:68-73. [PMID: 25735472 DOI: 10.1111/ajag.12195] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
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90
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Impact of Visual Impairment and Eye diseases on Mortality: the Singapore Malay Eye Study (SiMES). Sci Rep 2015; 5:16304. [PMID: 26549406 PMCID: PMC4637872 DOI: 10.1038/srep16304] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2015] [Accepted: 10/12/2015] [Indexed: 12/25/2022] Open
Abstract
We investigated the relationship of visual impairment (VI) and age-related eye diseases with mortality in a prospective, population-based cohort study of 3,280 Malay adults aged 40–80 years between 2004–2006. Participants underwent a full ophthalmic examination and standardized lens and fundus photographic grading. Visual acuity was measured using logMAR chart. VI was defined as presenting (PVA) and best-corrected (BCVA) visual acuity worse than 0.30 logMAR in the better-seeing eye. Participants were linked with mortality records until 2012. During follow-up (median 7.24 years), 398 (12.2%) persons died. In Cox proportional-hazards models adjusting for relevant factors, participants with VI (PVA) had higher all-cause mortality (hazard ratio[HR], 1.57; 95% confidence interval[CI], 1.25–1.96) and cardiovascular (CVD) mortality (HR 1.75; 95% CI, 1.24–2.49) than participants without. Diabetic retinopathy (DR) was associated with increased all-cause (HR 1.70; 95% CI, 1.25–2.36) and CVD mortality (HR 1.57; 95% CI, 1.05–2.43). Retinal vein occlusion (RVO) was associated with increased CVD mortality (HR 3.14; 95% CI, 1.26–7.73). No significant associations were observed between cataract, glaucoma and age-related macular degeneration with mortality. We conclude that persons with VI were more likely to die than persons without. DR and RVO are markers of CVD mortality.
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91
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Tissot A, Jaffre S, Gagnadoux F, Levaillant M, Corne F, Chollet S, Blanc FX, Goupil F, Priou P, Trzepizur W, Magnan A. Home Non-Invasive Ventilation Fails to Improve Quality of Life in the Elderly: Results from a Multicenter Cohort Study. PLoS One 2015; 10:e0141156. [PMID: 26489014 PMCID: PMC4619542 DOI: 10.1371/journal.pone.0141156] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2015] [Accepted: 10/03/2015] [Indexed: 11/29/2022] Open
Abstract
Background Home non-invasive ventilation (NIV) is a widely used treatment for chronic hypoventilation but little is known on its impact in the elderly. In a multicenter prospective cohort study, we studied tolerance and efficacy of domiciliary NIV in patients aged 75 or more compared to younger ones. Methods and Results 264 patients with at least a six-month follow-up were analyzed. Among them, 82 were elderly. In the elderly and the younger, we found an improvement of arterial blood gas, the Epworth sleepiness scale and the Pittsburgh sleep quality index at 6 months. Mean daily use of NIV at 6 months was 7 hours and the rate of non-adherent patients was similar in both group. Health-related quality of life (HRQL) assessed by SF-36 questionnaires did not change significantly after NIV initiation in the elderly whereas HRQL improved in the less than 75. On univariate analysis, we found that diabetes was a predictive factor for non-adherence in the elderly (Odds ratio: 3.95% confidence interval: 1.06–8.52). Conclusion NIV was efficient in the elderly while evaluation at 6 months showed a good adherence but failed to improve HRQL.
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Affiliation(s)
- Adrien Tissot
- Service de pneumologie, L'institut du thorax, CHU Nantes, Nantes, France
- * E-mail:
| | - Sandrine Jaffre
- Service de pneumologie, L'institut du thorax, CHU Nantes, Nantes, France
| | | | | | - Frédéric Corne
- Service de pneumologie, L'institut du thorax, CHU Nantes, Nantes, France
| | - Sylvaine Chollet
- Service de pneumologie, L'institut du thorax, CHU Nantes, Nantes, France
| | | | - François Goupil
- Service de Pneumologie, Centre Hospitalier du Mans, Le Mans, France
| | | | | | - Antoine Magnan
- Service de pneumologie, L'institut du thorax, CHU Nantes, Nantes, France
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92
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Bell SP, Schnelle J, Nwosu SK, Schildcrout J, Goggins K, Cawthon C, Mixon AS, Vasilevskis EE, Kripalani S. Development of a multivariable model to predict vulnerability in older American patients hospitalised with cardiovascular disease. BMJ Open 2015; 5:e008122. [PMID: 26316650 PMCID: PMC4554894 DOI: 10.1136/bmjopen-2015-008122] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
OBJECTIVES To identify vulnerable cardiovascular patients in the hospital using a self-reported function-based screening tool. PARTICIPANTS Prospective observational cohort study of 445 individuals aged ≥ 65 years admitted to a university medical centre hospital within the USA with acute coronary syndrome and/or decompensated heart failure. METHODS Participants completed an inperson interview during hospitalisation, which included vulnerable functional status using the Vulnerable Elders Survey (VES-13), sociodemographic, healthcare utilisation practices and clinical patient-specific measures. A multivariable proportional odds logistic regression model examined associations between VES-13 and prior healthcare utilisation, as well as other coincident medical and psychosocial risk factors for poor outcomes in cardiovascular disease. RESULTS Vulnerability was highly prevalent (54%) and associated with a higher number of clinic visits, emergency room visits and hospitalisations (all p<0.001). A multivariable analysis demonstrating a 1-point increase in VES-13 (vulnerability) was independently associated with being female (OR 1.55, p=0.030), diagnosis of heart failure (OR 3.11, p<0.001), prior hospitalisations (OR 1.30, p<0.001), low social support (OR 1.42, p=0.007) and depression (p<0.001). A lower VES-13 score (lower vulnerability) was associated with increased health literacy (OR 0.70, p=0.002). CONCLUSIONS Vulnerability to functional decline is highly prevalent in hospitalised older cardiovascular patients and was associated with patient risk factors for adverse outcomes and an increased use of healthcare services.
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Affiliation(s)
- Susan P Bell
- Division of Cardiovascular Medicine, Department of Medicine, Vanderbilt University, Nashville, Tennessee, USA
- Division of General Internal Medicine and Public Health, Department of Medicine, Center for Quality Aging, Vanderbilt University, Nashville, Tennessee, USA
| | - John Schnelle
- Division of General Internal Medicine and Public Health, Department of Medicine, Center for Quality Aging, Vanderbilt University, Nashville, Tennessee, USA
| | - Samuel K Nwosu
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Jonathan Schildcrout
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Kathryn Goggins
- Center for Clinical Quality and Implementation Research, Nashville, Tennessee, USA
| | - Courtney Cawthon
- Center for Health Services Research, Vanderbilt University, Nashville, Tennessee, USA
| | - Amanda S Mixon
- Center for Clinical Quality and Implementation Research, Nashville, Tennessee, USA
- Department of Veterans Affairs, Tennessee Valley Healthcare System—Geriatric Research Education and Clinical Center (GRECC), Nashville, Tennessee, USA
- Division of General Internal Medicine and Public Health, Department of Medicine, Section of Hospital Medicine, Vanderbilt University, Nashville, Tennessee, USA
| | - Eduard E Vasilevskis
- Center for Clinical Quality and Implementation Research, Nashville, Tennessee, USA
- Department of Veterans Affairs, Tennessee Valley Healthcare System—Geriatric Research Education and Clinical Center (GRECC), Nashville, Tennessee, USA
- Division of General Internal Medicine and Public Health, Department of Medicine, Section of Hospital Medicine, Vanderbilt University, Nashville, Tennessee, USA
| | - Sunil Kripalani
- Center for Clinical Quality and Implementation Research, Nashville, Tennessee, USA
- Center for Health Services Research, Vanderbilt University, Nashville, Tennessee, USA
- Division of General Internal Medicine and Public Health, Department of Medicine, Section of Hospital Medicine, Vanderbilt University, Nashville, Tennessee, USA
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93
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Abstract
Ischemic heart disease is the leading cause of mortality worldwide. Due to advances in medicine in the past few decades, life expectancy has increased resulting in an aging population in developed and developing countries. Acute coronary syndrome causes greater morbidity and mortality in this group of older patients, which appears to be due to age-related comorbidities. This review examines the incidence and prevalence of acute coronary syndrome among older patients, examines current treatment strategies, and evaluates the predictors of adverse outcomes. In particular, the impact of frailty on outcomes and the need for frailty assessment in developing future research and management strategies among older patients are discussed.
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94
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Speelman AD, van Gestel YRBM, Rutten HJT, de Hingh IHJT, Lemmens VEPP. Changes in gastrointestinal cancer resection rates. Br J Surg 2015; 102:1114-22. [DOI: 10.1002/bjs.9862] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2014] [Revised: 02/11/2015] [Accepted: 04/20/2015] [Indexed: 12/19/2022]
Abstract
Abstract
Background
Many developments in medicine are likely to have influenced the treatment of gastrointestinal cancer, including rates of resection. This study sought to investigate changes in surgical resection rates over time among patients with gastrointestinal cancer.
Methods
Patients diagnosed between 1995 and 2012 in the Eindhoven Cancer Registry area were included. Multivariable logistic regression analysis was used to determine the independent influence of interval of diagnosis on the likelihood of having a resection.
Results
Among 43 370 patients, crude resection rates decreased between 1995 and 2012 for gastric, colonic and rectal cancer, most notably for patients aged at least 85 years with gastric cancer (from 37·3 to 13·3 per cent), and patients aged 75–84 years and 85 years or more with rectal cancer (from 80·5 to 64·4 per cent, and from 58·9 to 36·0 per cent respectively). After adjustment for patient and tumour characteristics, patients diagnosed between 2008 and 2012 with gastric (odds ratio (OR) 0·71, 95 per cent c.i. 0·55 to 0·92), colonic (OR 0·52, 0·44 to 0·62), rectal (OR 0·39, 0·33 to 0·48) and periampullary (OR 0·42, 0·27 to 0·66) cancers were less likely to undergo resection than those diagnosed between 1995 and 1998. Patients diagnosed with pancreatic cancer were more likely to undergo resection in recent periods (OR 4·13, 2·57 to 6·64).
Conclusion
Resection rates have fallen over time for several gastrointestinal cancers. This might reflect increased availability of other treatments, better selection of patients as a result of improved diagnostic accuracy, risk-avoiding behaviour and transparency related to surgical outcomes at hospital and surgeon level.
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Affiliation(s)
- A D Speelman
- Department of Oncology, Netherlands Comprehensive Cancer Organisation, Eindhoven, The Netherlands
| | - Y R B M van Gestel
- Department of Research, Netherlands Cancer Registry, Netherlands Comprehensive Cancer Organisation, Eindhoven, The Netherlands
| | - H J T Rutten
- Department of Surgery, Catharina Hospital, Eindhoven, The Netherlands
- Research Institute Growth and Development, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - I H J T de Hingh
- Department of Surgery, Catharina Hospital, Eindhoven, The Netherlands
| | - V E P P Lemmens
- Department of Research, Netherlands Cancer Registry, Netherlands Comprehensive Cancer Organisation, Eindhoven, The Netherlands
- Department of Public Health, Erasmus MC University Medical Centre, Rotterdam, The Netherlands
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95
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Frisoli A, Ingham SJM, Paes ÂT, Tinoco E, Greco A, Zanata N, Pintarelli V, Elber I, Borges J, Camargo Carvalho AC. Frailty predictors and outcomes among older patients with cardiovascular disease: Data from Fragicor. Arch Gerontol Geriatr 2015; 61:1-7. [PMID: 25921097 DOI: 10.1016/j.archger.2015.03.001] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2014] [Revised: 03/06/2015] [Accepted: 03/06/2015] [Indexed: 02/05/2023]
Abstract
The aim of this study was to evaluate predictive factors for frailty among older outpatient adults with cardiovascular disease (CVD) and to assess the predictive value of frailty in regard to mortality, disability and hospitalization at 1-year follow-up. A prospective cohort study was carried out with subjects over 65 years of age from an outpatient Cardiology clinic, with at least one CVD. At baseline, we classified frailty as proposed by Fried, i.e.; unintentional weight loss (10lbs in the past year), self-reported exhaustion, weakness (measured by grip strength), slow walking speed, and low physical activity. A frail person was defined by the presence of three or more criteria, prefrail by one or two and robust by the absence of them. Disability, previous hospitalizations, falls, morphometric and socio-demographic variables were collected; as well as the presence of CVD and hemodynamic parameters (HP): systolic (SPB) and diastolic blood pressure (DBP), heart rate (HR) and ejection fraction (EF). At 1-year follow-up, the outcomes assessed were: disability, number of hospitalizations and death. 172 subjects were included in this study with a mean age of 77 years old. The prevalence of frail was 39.8%, prefrail 51.5% and robust was 8.7%. Among the CVD and HP evaluated, myocardial infarction (MI), presence of three or more CVDs, lower SPB and DBP were significant and independent factors associated with the frailty phenotype. At 1-year follow up, frailty was an independent predictor for disability (Odds Ratio (OR): 3.94 (1.59-9.75); p=0.003) and it increased death probability by three times if compared to the robust group. In conclusion, older outpatients with CVD have a higher probability to be frail than older adults who do not have a CVD. Low SPB and DBP must always be taken into consideration due to their high association with frailty. It is also important to diagnose frailty in this population due to the high association with mortality and disability.
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Affiliation(s)
- Alberto Frisoli
- Cardiogeriatric Unit, Cardiology Division, Federal University of São Paulo, São Paulo, Brazil; Cardiology Division, Federal University of São Paulo, São Paulo, Brazil.
| | - Sheila Jean McNeill Ingham
- Cardiology Division, Federal University of São Paulo, São Paulo, Brazil; Physical Medicine and Rehabilitation, Federal University of São Paulo, São Paulo, Brazil
| | - Ângela T Paes
- Statistics Department, Federal University of São Paulo, São Paulo, Brazil
| | - Esther Tinoco
- Cardiogeriatric Unit, Cardiology Division, Federal University of São Paulo, São Paulo, Brazil
| | - Andrea Greco
- Cardiogeriatric Unit, Cardiology Division, Federal University of São Paulo, São Paulo, Brazil
| | - Norma Zanata
- Cardiogeriatric Unit, Cardiology Division, Federal University of São Paulo, São Paulo, Brazil
| | - Vitor Pintarelli
- Cardiogeriatric Unit, Cardiology Division, Federal University of São Paulo, São Paulo, Brazil
| | - Izo Elber
- Cardiogeriatric Unit, Cardiology Division, Federal University of São Paulo, São Paulo, Brazil
| | - Jairo Borges
- Cardiogeriatric Unit, Cardiology Division, Federal University of São Paulo, São Paulo, Brazil
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Lin HR, Otsubo T, Imanaka Y. The effects of dementia and long-term care services on the deterioration of care-needs levels of the elderly in Japan. Medicine (Baltimore) 2015; 94:e525. [PMID: 25700313 PMCID: PMC4554179 DOI: 10.1097/md.0000000000000525] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
To investigate the associations between dementia, the use of long-term care (LTC) services, and the deterioration of care-needs levels of elderly persons in Japan. Using a retrospective cohort study, we analyzed 50,268 insurance beneficiaries aged 65 years and older who had utilized LTC services between 2010 and 2011 in Kyoto prefecture, Japan. Logistic regression analyses were used to identify predictors of care-needs level deterioration. Dementia, facility care services, the male sex, older age, and lower baseline care-needs levels were associated with care-needs level deterioration. The disparity between odds ratios of home care services, dementia diagnoses, and facility care services on care-needs level deterioration diminished with increasing baseline care-needs levels. The other risk factors of care-needs level deterioration showed stronger associations as care-needs levels and age increased. The effects of baseline care-needs levels and dementia should be considered when developing LTC policies.
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Affiliation(s)
- Huei-Ru Lin
- From the Department of Healthcare Economics and Quality Management, Graduate School of Medicine, Kyoto University, Yoshida Konoe-cho, Sakyo-ku, Kyoto, Japan
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97
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Abstract
The termfrailtyis often used to describe a subset of the older population with complex health issues. It is associated with dependence, disability, increased health care use, and mortality. An emergent problem is the lack of consensus as to the etiology and definition of frailty. The purpose of this concept analysis is to clarify the concept of frailty in the context of older adults and propose a definition of frailty that may be relevant to identification of frail older adults. The results from this analysis conclude frailty in older adults is a tenuous state of health that is the result of the complex interplay of physiological, psychosocial, and environmental stressors that increases an older adult’s susceptibility to adverse health outcomes.
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98
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Slee A, Birch D, Stokoe D. Bioelectrical impedance vector analysis, phase-angle assessment and relationship with malnutrition risk in a cohort of frail older hospital patients in the United Kingdom. Nutrition 2015; 31:132-7. [DOI: 10.1016/j.nut.2014.06.002] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2013] [Revised: 05/14/2014] [Accepted: 06/01/2014] [Indexed: 12/31/2022]
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Ness KK, Armstrong GT, Kundu M, Wilson CL, Tchkonia T, Kirkland JL. Frailty in childhood cancer survivors. Cancer 2014; 121:1540-7. [PMID: 25529481 DOI: 10.1002/cncr.29211] [Citation(s) in RCA: 111] [Impact Index Per Article: 11.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2014] [Revised: 11/18/2014] [Accepted: 11/18/2014] [Indexed: 12/14/2022]
Abstract
Young adult childhood cancer survivors are at an increased risk of frailty, a physiologic phenotype typically found among older adults. This phenotype is associated with new-onset chronic health conditions and mortality among both older adults and childhood cancer survivors. Mounting evidence suggests that poor fitness, muscular weakness, and cognitive decline are common among adults treated for childhood malignancies, and that risk factors for these outcomes are not limited to those treated with cranial radiation. Although the pathobiology of this phenotype is not known, early cellular senescence, sterile inflammation, and mitochondrial dysfunction in response to initial cancer or treatment-related insults are hypothesized to play a role. To the authors' knowledge, interventions to prevent or remediate frailty among childhood cancer survivors have not been tested to date. Pharmaceutical, nutraceutical, and lifestyle interventions have demonstrated some promise.
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Affiliation(s)
- Kirsten K Ness
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, Tennessee
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McGovern ME. Comparing the Relationship Between Stature and Later Life Health in Six Low and Middle Income Countries. JOURNAL OF THE ECONOMICS OF AGEING 2014; 4:128-148. [PMID: 25590021 PMCID: PMC4289608 DOI: 10.1016/j.jeoa.2014.09.011] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
This paper examines the relationship between stature and later life health in 6 emerging economies, each of which are expected to experience significant increases in the mean age of their populations over the coming decades. Using data from the WHO Study on Global Ageing and Adult Health (SAGE) and pilot data from the Longitudinal Ageing Study in India (LASI), I show that various measures of health are associated with height, a commonly used proxy for childhood environment. In the pooled sample, an additional 10cm increase in height is associated with between a 2 and 3 percentage point increase in the probability of being in very good or good self-reported health, a 3 percentage point increase in the probability of reporting no difficulties with activities of daily living or instrumental activities of daily living, and between a fifth and a quarter of a standard deviation increase in grip strength and lung function. Adopting a methodology previously used in the research on inequality, I also summarise the height-grip strength gradient for each country using the concentration index, and provide a decomposition analysis.
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Affiliation(s)
- Mark E McGovern
- Harvard Center for Population and Development Studies; Department of Global Health and Population, Harvard School of Public Health
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