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Strandberg TE, Benetos A. Hippocratic considerations about statin treatment for patients over 75 years of age. Eur Geriatr Med 2025; 16:393-395. [PMID: 39932631 DOI: 10.1007/s41999-025-01160-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/23/2025]
Affiliation(s)
- Timo E Strandberg
- University of Helsinki and Helsinki University Hospital, PO Box 340, 00029 HUS, Helsinki, Finland.
- Center for Life Course Health Research, University of Oulu, Oulu, Finland.
| | - Athanase Benetos
- Department of Geriatrics, CHRU de Nancy and INSERM DCAC, University of Lorraine, Nancy, France
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2
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Jamil YA, Cohen R, Alameddine DK, Deo SV, Kumar M, Orkaby AR. Cholesterol Lowering in Older Adults: Should We Wait for Further Evidence? Curr Atheroscler Rep 2024; 26:521-536. [PMID: 38958924 DOI: 10.1007/s11883-024-01224-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/17/2024] [Indexed: 07/04/2024]
Abstract
PURPOSE OF REVIEW Current guidelines for primary and secondary prevention of cardiovascular events in adults up to age 75 years are well-established. However, recommendations for lipid-lowering therapies (LLT), particularly for primary prevention, are inconclusive after age 75. In this review, we focus on adults ≥ 75 years to assess low-density lipoprotein-cholesterol (LDL-C) as a marker for predicting atherosclerotic cardiovascular disease (ASCVD) risk, review risk assessment tools, highlight guidelines for LLT, and discuss benefits, risks, and deprescribing strategies. RECENT FINDINGS The relationship between LDL-C and all-cause mortality and cardiovascular outcomes in older adults is complex and confounded. Current ASCVD risk estimators heavily depend on age and lack geriatric-specific variables. Emerging tools may reclassify individuals based on biologic rather than chronologic age, with coronary artery calcium scores gaining popularity. After initiating LLT for primary or secondary prevention, target LDL-C levels for older adults are lacking, and non-statin therapy thresholds remain unknown, relying on evidence from younger populations. Shared decision-making is crucial, considering therapy's time to benefit, life expectancy, adverse events, and geriatric syndromes. Deprescribing is recommended in end-of-life care but remains unclear in fit or frail older adults. After an ASCVD event, LLT is appropriate for most older adults, and deprescribing can be considered for those approaching the last months of life. Ongoing trials will guide statin prescription and deprescribing among older adults free of ASCVD. In the interim, for adults ≥ 75 years without a limited life expectancy who are free of ASCVD, an LLT approach that includes both lifestyle and medications, specifically statins, may be considered after shared decision-making.
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Affiliation(s)
- Yasser A Jamil
- Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
| | | | - Dana K Alameddine
- Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Salil V Deo
- Cleveland VA Medical Center, Case Western Reserve University, Cleveland, OH, USA
| | - Manish Kumar
- Albert Einstien College of Medicine, Montefiore Medical Center, Bronx, NY, USA
| | - Ariela R Orkaby
- New England GRECC (Geriatric Research, Education, and Clinical Center), VA Boston Healthcare System, 150 S Huntington St, Boston, MA, 02130, USA.
- Division of Aging, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA.
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Si PEH, Parker S, Abdelhafiz D, Summerbell A, Muzulu S, Abdelhafiz AH. Cardiovascular risk reduction in older people with type 2 diabetes mellitus-a comprehensive narrative review. Diabetes Res Clin Pract 2024; 211:111662. [PMID: 38599285 DOI: 10.1016/j.diabres.2024.111662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 04/01/2024] [Accepted: 04/07/2024] [Indexed: 04/12/2024]
Abstract
Metabolic targets are controversial in older people with type 2 diabetes due to functional heterogeneity and morbidity burden. Tight blood pressure and metabolic control appears beneficial in fit individuals who are newly diagnosed with type 2 diabetes and have fewer comorbidities. The benefits of low blood pressure and tight metabolic control is attenuated with the development of comorbidities, especially frailty. Guidelines consider frail older people as one category and recommend relaxed targets. However, sarcopenic obese frail individuals may benefit from tight targets and intensification of therapy due to their unfavourable metabolic profile, accelerated diabetes trajectory and high cardiovascular risk. In addition, the early use of sodium glucose transporter-2 inhibitors and glucagon like peptide-1 receptor agonists may be beneficial in this frailty phenotype due to their cardio-renal protection, which is independent of glycaemic control, provided they are able to engage in resistance exercise training to avoid loss of muscle mass. In the anorexic malnourished frail individual, early use of insulin, due to its weight gain and anabolic properties, is appropriate. In this phenotype, targets should be relaxed with deintensification of therapy due to significant weight loss, decelerated diabetes trajectory and increased risk of medication side effects.
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Affiliation(s)
- Pann Ei Hnynn Si
- Sheffield Kidney Institute, Sheffield Teaching Hospitals, Herries Road, Sheffield S5 7AU, UK
| | - S Parker
- Translational Health Sciences, Bristol Medical School, Bristol, BS8 1QU
| | - D Abdelhafiz
- Lancaster Medical School, Lancaster, LA1 4YG, UK
| | - A Summerbell
- Department of Geriatric Medicine, Rotherham General Hospital, Moorgate Road, Rotherham S60 2 UD, UK
| | - S Muzulu
- Department of Diabetes and Endocrinology Rotherham General Hospital, UK
| | - Ahmed H Abdelhafiz
- Department of Geriatric Medicine, Rotherham General Hospital, Moorgate Road, Rotherham S60 2 UD, UK.
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Salis F, Cossu E, Mandas A. The multidimensional prognostic index (MPI) predicts long-term mortality in old type 2 diabetes mellitus patients: a 13-year follow-up study. J Endocrinol Invest 2024; 47:191-200. [PMID: 37332086 PMCID: PMC10776747 DOI: 10.1007/s40618-023-02135-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 06/06/2023] [Indexed: 06/20/2023]
Abstract
PURPOSE The Multidimensional Prognostic Index (MPI) is a tool capable of holistically frame older patients in different settings and affected by different pathologies, establishing a risk of adverse events. Among them, type 2 diabetes mellitus (T2DM), a common metabolic disease in the elderly, is responsible for complications and deaths. Few previous works have focused specifically on MPI and DM, and none have followed up the patients for more than 3 years. The aim of the present study is to analyze MPI accuracy in predicting mortality in a cohort of T2DM patients followed-up for 13 years. METHODS The enrolled subjects were evaluated with MPI, identifying three levels of risk: MPI1 (low risk, 0.0-0.33), MPI2 (moderate risk, 0.34-0.66), and MPI3 (severe risk, 0.67-1.0), and with glycated hemoglobin, and years since T2DM diagnosis. RESULTS One hundred and seven patients met the inclusion criteria. MPI3 was excluded by further analysis since it was made up of only three patients. Overall, cognitive performances, autonomies in daily living, nutritional status, risk of pressure injuries, comorbidities, and taken drugs were better (p ≤ 0.0077) in MPI1 than MPI2; moreover, the story of T2DM was shorter (p = 0.0026). Cox model showed an overall 13-year survival of 51.9%, and survival rates were significantly smaller in MPI2 (HR: 4.71, p = 0.0007). Finally, increased age (HR: 1.15), poorer cognitive abilities (HR: 1.26), vascular (HR: 2.15), and kidney (HR: 2.17) diseases were independently associated with death. CONCLUSION Our results prove that MPI predicts short-, mid-, and even long-term mortality in T2DM patients, whose death seems to be related to age and cognitive status, and even more to vascular and kidney diseases.
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Affiliation(s)
- F Salis
- Department of Medical Sciences, and Public Health, University of Cagliari, SS 554 bivio Sestu, 09042, Monserrato, Cagliari, Italy.
| | - E Cossu
- University Hospital "Azienda Ospedaliero-Universitaria" of Cagliari, Cagliari, Italy
| | - A Mandas
- Department of Medical Sciences, and Public Health, University of Cagliari, SS 554 bivio Sestu, 09042, Monserrato, Cagliari, Italy
- University Hospital "Azienda Ospedaliero-Universitaria" of Cagliari, Cagliari, Italy
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Custodero C, Veronese N, Topinkova E, Michalkova H, Polidori MC, Cella A, Cruz-Jentoft AJ, von Arnim CAF, Azzini M, Gruner H, Castagna A, Cenderello G, Custureri R, Zieschang T, Padovani A, Sanchez-Garcia E, Pilotto A. The Role of Multidimensional Prognostic Index to Identify Hospitalized Older Adults with COVID-19 Who Can Benefit from Remdesivir Treatment: An Observational, Prospective, Multicenter Study. Drugs Aging 2023; 40:643-651. [PMID: 37310575 PMCID: PMC10261842 DOI: 10.1007/s40266-023-01036-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/09/2023] [Indexed: 06/14/2023]
Abstract
BACKGROUND Data regarding the importance of multidimensional frailty to guide clinical decision making for remdesivir use in older patients with coronavirus disease 2019 (COVID-19) are largely unexplored. OBJECTIVE The aim of this research was to evaluate if the Multidimensional Prognostic Index (MPI), a multidimensional frailty tool based on the Comprehensive Geriatric Assessment (CGA), may help physicians in identifying older hospitalized patients affected by COVID-19 who might benefit from the use of remdesivir. METHODS This was a multicenter, prospective study of older adults hospitalized for COVID-19 in 10 European hospitals, followed-up for 90 days after hospital discharge. A standardized CGA was performed at hospital admission and the MPI was calculated, with a final score ranging between 0 (lowest mortality risk) and 1 (highest mortality risk). We assessed survival with Cox regression, and the impact of remdesivir on mortality (overall and in hospital) with propensity score analysis, stratified by MPI = 0.50. RESULTS Among 496 older adults hospitalized for COVID-19 (mean age 80 years, female 59.9%), 140 (28.2% of patients) were treated with remdesivir. During the 90 days of follow-up, 175 deaths were reported, 115 in hospital. Remdesivir treatment significantly reduced the risk of overall mortality (hazard ratio [HR] 0.54, 95% confidence interval CI 0.35-0.83 in the propensity score analysis) in the sample as whole. Stratifying the population, based on MPI score, the effect was observed only in less frail participants (HR 0.47, 95% CI 0.22-0.96 in propensity score analysis), but not in frailer subjects. In-hospital mortality was not influenced by remdesivir use. CONCLUSIONS MPI could help to identify less frail older adults hospitalized for COVID-19 who could benefit more from remdesivir treatment in terms of long-term survival.
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Affiliation(s)
- Carlo Custodero
- Department of Interdisciplinary Medicine, University of Bari "Aldo Moro", Bari, Italy
| | - Nicola Veronese
- Geriatric Unit, Department of Internal Medicine and Geriatrics, University of Palermo, via del Vespro, 141, 90127, Palermo, Italy.
| | - Eva Topinkova
- Department of Geriatrics, First Faculty of Medicine, Charles University, Prague, Czech Republic
- Faculty of Health and Social Sciences, University of South Bohemia, Ceske Budejovice, Czech Republic
| | - Helena Michalkova
- Department of Geriatrics, First Faculty of Medicine, Charles University, Prague, Czech Republic
- Faculty of Health and Social Sciences, University of South Bohemia, Ceske Budejovice, Czech Republic
| | - Maria Cristina Polidori
- Ageing Clinical Research, Department II of Internal Medicine and Center for Molecular Medicine, University of Cologne, Cologne, Germany
| | - Alberto Cella
- Department of Geriatric Care, Orthogeriatrics and Rehabilitation, Galliera Hospital, Genoa, Italy
| | | | | | - Margherita Azzini
- Geriatrics Unit, "Mater Salutis" Hospital, Legnago ULSS 9 Scaligera, Verona, Italy
| | - Heidi Gruner
- Serviço de Medicina Interna, Hospital Curry Cabral, Centro Hospitalar Universitário Lisboa Central/Universidade Nova de Lisboa, Lisbon, Portugal
| | | | | | - Romina Custureri
- Department of Geriatric Care, Orthogeriatrics and Rehabilitation, Galliera Hospital, Genoa, Italy
| | - Tania Zieschang
- Klinikum Oldenburg AöR, Oldenburg University, Oldenburg, Germany
| | - Alessandro Padovani
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | | | - Alberto Pilotto
- Department of Interdisciplinary Medicine, University of Bari "Aldo Moro", Bari, Italy
- Department of Geriatric Care, Orthogeriatrics and Rehabilitation, Galliera Hospital, Genoa, Italy
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Pilotto A, Topinkova E, Michalkova H, Polidori MC, Cella A, Cruz-Jentoft A, von Arnim CAF, Azzini M, Gruner H, Castagna A, Cenderello G, Custureri R, Custodero C, Zieschang T, Padovani A, Sanchez-Garcia E, Veronese N. Can the Multidimensional Prognostic Index Improve the Identification of Older Hospitalized Patients with COVID-19 Likely to Benefit from Mechanical Ventilation? An Observational, Prospective, Multicenter Study. J Am Med Dir Assoc 2022; 23:1608.e1-1608.e8. [PMID: 35934019 PMCID: PMC9247233 DOI: 10.1016/j.jamda.2022.06.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2022] [Revised: 06/13/2022] [Accepted: 06/25/2022] [Indexed: 11/18/2022]
Abstract
OBJECTIVE Data on prognostic tools for indicating mechanical ventilation in older people with COVID-19 are still limited. The aim of this research was to evaluate if the Multidimensional Prognostic Index (MPI), based on the Comprehensive Geriatric Assessment (CGA), may help physicians in identifying older hospitalized patients affected by COVID-19 who might benefit from mechanical ventilation. DESIGN Longitudinal, multicenter study. SETTINGS AND PARTICIPANTS 502 older people hospitalized for COVID-19 in 10 European hospitals. METHODS MPI was calculated using 8 different domains typical of the CGA. A propensity score, Cox's regression analysis was used for assessing the impact of mechanical ventilation on rehospitalization/mortality for 90 days' follow-up, stratified by MPI = 0.50. The accuracy of MPI in predicting negative outcomes (ie, rehospitalization/mortality) was assessed using the area under the curve (AUC), and the discrimination with several indexes like the Net Reclassification Improvement (NRI) and the Integrated Discrimination Improvement (IDI). RESULTS Among 502 older people hospitalized for COVID-19 (mean age: 80 years), 152 were treated with mechanical ventilation. In the propensity score analysis, during the 90-day follow-up period, there were 44 rehospitalizations and 95 deaths. Mechanical ventilation in patients with MPI values ≥ 0.50, indicating frailer participants, was associated with a higher risk of rehospitalization/mortality (hazard ratio 1.56, 95% CI 1.09-2.23), whereas in participants with MPI values < 0.50 this association was not significant. The accuracy of the model including age, sex, respiratory parameters, and MPI was good (AUC = 0.783) as confirmed by an NRI of 0.2756 (P < .001) and an IDI of 0.1858 (P < .001), suggesting a good discrimination of the model in predicting negative outcomes. CONCLUSIONS AND IMPLICATIONS MPI could be useful for better individualizing older people hospitalized by COVID-19 who could benefit from mechanical ventilation.
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Affiliation(s)
- Alberto Pilotto
- Department of Geriatric Care, Orthogeriatrics and Rehabilitation, Galliera Hospital, Genoa, Italy; Department of Interdisciplinary Medicine, "Aldo Moro" University of Bari, Bari, Italy
| | - Eva Topinkova
- Department of Geriatrics, First Faculty of Medicine, Charles University, Prague, Czech Republic; Faculty of Health and Social Sciences, University of South Bohemia, Ceske Budejovice, Czech Republic
| | - Helena Michalkova
- Department of Geriatrics, First Faculty of Medicine, Charles University, Prague, Czech Republic; Faculty of Health and Social Sciences, University of South Bohemia, Ceske Budejovice, Czech Republic
| | - Maria Cristina Polidori
- Ageing Clinical Research, Department II of Internal Medicine and Center for Molecular Medicine, University of Cologne, Cologne, Germany
| | - Alberto Cella
- Department of Geriatric Care, Orthogeriatrics and Rehabilitation, Galliera Hospital, Genoa, Italy
| | - Alfonso Cruz-Jentoft
- Servicio de Geriatría, Hospital Universitario Ramón y Cajal (IRYCIS), Madrid, Spain
| | | | - Margherita Azzini
- Geriatrics Unit, "Mater Salutis" Hospital, Legnago ULSS 9 Scaligera, Verona, Italy
| | - Heidi Gruner
- Serviço de Medicina Interna, Hospital Curry Cabral, Centro Hospitalar Universitário Lisboa Central / Universidade Nova de Lisboa Lisbon, Portugal
| | | | | | - Romina Custureri
- Department of Geriatric Care, Orthogeriatrics and Rehabilitation, Galliera Hospital, Genoa, Italy
| | - Carlo Custodero
- Department of Interdisciplinary Medicine, "Aldo Moro" University of Bari, Bari, Italy
| | - Tania Zieschang
- Klinikum Oldenburg AöR, Oldenburg University, Oldenburg, Germany
| | - Alessandro Padovani
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Italy
| | | | - Nicola Veronese
- Department of Internal Medicine and Geriatrics, University of Palermo, Italy.
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Herrington G, Riche DM. Part I: Interactive case: Hyperlipidemia management for special populations. JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY 2022. [DOI: 10.1002/jac5.1688] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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Zampino M, Polidori MC, Ferrucci L, O’Neill D, Pilotto A, Gogol M, Rubenstein L. Biomarkers of aging in real life: three questions on aging and the comprehensive geriatric assessment. GeroScience 2022; 44:2611-2622. [PMID: 35796977 PMCID: PMC9261220 DOI: 10.1007/s11357-022-00613-4] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 06/19/2022] [Indexed: 01/07/2023] Open
Abstract
Measuring intrinsic, biological age is a central question in medicine, which scientists have been trying to answer for decades. Age manifests itself differently in different individuals, and chronological age often does not reflect such heterogeneity of health and function. We discuss here the value of measuring age and aging using the comprehensive geriatric assessment (CGA), cornerstone of geriatric medicine, and operationalized assessment tools for prognosis. Specifically, we review the benefits of employing the multidimensional prognostic index (MPI), which collects information about eight domains relevant for the global assessment of the older person (functional and cognitive status, nutrition, mobility and risk of pressure sores, multi-morbidity, polypharmacy, and co-habitation), in the evaluation of the functional status, and in the prediction of health outcomes for older adults. Further integration of biological markers of aging into multidimensional prognostic tools is warranted, as well as actions which could facilitate prognostic assessments for older persons in all healthcare settings.
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Affiliation(s)
- Marta Zampino
- grid.94365.3d0000 0001 2297 5165Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD USA
| | - M. Cristina Polidori
- grid.6190.e0000 0000 8580 3777Aging Clinical Research, Department II of Internal Medicine and Center for Molecular Medicine Cologne, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany ,grid.6190.e0000 0000 8580 3777Cologne Excellence Cluster On Cellular Stress- Responses in Aging-Associated Diseases (CECAD), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Luigi Ferrucci
- grid.94365.3d0000 0001 2297 5165Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD USA
| | - Desmond O’Neill
- grid.413305.00000 0004 0617 5936Tallaght University Hospital and Trinity College Dublin, Tallaght University Hospital, Trinity Centre for Health Sciences, Dublin, Ireland
| | - Alberto Pilotto
- grid.450697.90000 0004 1757 8650Geriatrics Unit, Department of Geriatric Care, Orthogeriatrics and Rehabilitation, Galliera Hospital, Genoa, Italy ,grid.7644.10000 0001 0120 3326Department of Interdisciplinary Medicine, University of Bari, Bari, Italy
| | - Manfred Gogol
- grid.10423.340000 0000 9529 9877Trauma Department, Orthogeriatric Unit, Hannover Medical School, Hannover, Germany ,grid.7700.00000 0001 2190 4373Institute of Gerontology, University of Heidelberg, Heidelberg, Germany
| | - Laurence Rubenstein
- grid.266900.b0000 0004 0447 0018Department of Geriatric Medicine, University of Oklahoma, Oklahoma City, OK USA
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Mattace-Raso F, Pilotto A. The challenge of the multifaceted prognosis in the older people and the Multidimensional Prognostic Index. Eur Geriatr Med 2021; 12:223-226. [PMID: 33620704 PMCID: PMC7900797 DOI: 10.1007/s41999-021-00457-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Affiliation(s)
- Francesco Mattace-Raso
- Division of Geriatric Medicine, Department of Internal Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Alberto Pilotto
- Geriatric Unit, Department of Geriatric Care, Orthogeriatrics and Rehabilitation, EO Galliera Hospital, Genova, Italy. .,Department of Interdisciplinary Medicine, University of Bari, Bari, Italy.
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Pilotto A, Custodero C, Maggi S, Polidori MC, Veronese N, Ferrucci L. A multidimensional approach to frailty in older people. Ageing Res Rev 2020; 60:101047. [PMID: 32171786 PMCID: PMC7461697 DOI: 10.1016/j.arr.2020.101047] [Citation(s) in RCA: 190] [Impact Index Per Article: 38.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2019] [Revised: 02/13/2020] [Accepted: 03/10/2020] [Indexed: 12/13/2022]
Abstract
Frailty is an important factor determining a higher risk of adverse health outcomes in older adults. Although scientific community in the last two decades put a lot of effort for its definition, to date no consensus was reached on its assessment. The mainstream thinking describes frailty as a loss of physical functions or as accumulation of multiple deficits. Recently, a novel conceptual model of frailty has emerged based on the loss of harmonic interaction between multiple domains (also referred as dimensions) including genetic, biological, functional, cognitive, psychological and socio-economic domain that ultimately lead to homeostatic instability. Therefore, the multidimensional aspects of frailty condition could be captured by the comprehensive geriatric assessment (CGA) and its derived Multidimensional Prognostic Index (MPI). This instrument has been applied in different clinical settings and in several cohorts of older adults with specific acute and chronic diseases, showing always excellent accuracy in stratifying population according the mortality risk and other negative health outcomes, i.e. hospitalization, institutionalization or admission to homecare services. This MPI "plasticity" provides a single numerical prognostic index which could be helpful in clinical decision making for the management of frail older adults.
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Affiliation(s)
- Alberto Pilotto
- Department of Interdisciplinary Medicine, University of Bari Aldo Moro, Bari, Italy; Geriatrics Unit, Department of Geriatric Care, Orthogeriatrics and Rehabilitation, E.O. Ospedali Galliera, Genova, Italy.
| | - Carlo Custodero
- Department of Interdisciplinary Medicine, University of Bari Aldo Moro, Bari, Italy
| | - Stefania Maggi
- National Research Council (CNR), Aging Section, Padova, Italy
| | | | - Nicola Veronese
- Geriatrics Unit, Department of Geriatric Care, Orthogeriatrics and Rehabilitation, E.O. Ospedali Galliera, Genova, Italy; Azienda ULSS 3 Serenissima, Primary Care Department, District 3, Venice, Italy
| | - Luigi Ferrucci
- National Institute on Aging, NIH, Baltimore, MD, United States
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Cruz-Jentoft AJ, Daragjati J, Fratiglioni L, Maggi S, Mangoni AA, Mattace-Raso F, Paccalin M, Polidori MC, Topinkova E, Ferrucci L, Pilotto A. Using the Multidimensional Prognostic Index (MPI) to improve cost-effectiveness of interventions in multimorbid frail older persons: results and final recommendations from the MPI_AGE European Project. Aging Clin Exp Res 2020; 32:861-868. [PMID: 32180170 DOI: 10.1007/s40520-020-01516-0] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2020] [Accepted: 02/14/2020] [Indexed: 02/06/2023]
Abstract
MPI_AGE is a European Union co-funded research project aimed to use the Multidimensional Prognostic Index (MPI), a validated Comprehensive Geriatric Assessment (CGA)-based prognostic tool, to develop predictive rules that guide clinical and management decisions in older people in different European countries. A series of international studies performed in different settings have shown that the MPI is useful to predict mortality and risk of hospitalization in community-dwelling older subjects at population level. Furthermore, studies performed in older people who underwent a CGA before admission to a nursing home or receiving homecare services showed that the MPI successfully identified groups of persons who could benefit, in terms of reduced mortality, of specific therapies such as statins in diabetes mellitus and coronary artery disease, anticoagulants in atrial fibrillation and antidementia drugs in cognitive decline. A prospective trial carried out in nine hospitals in Europe and Australia demonstrated that the MPI was able to predict not only in-hospital and long-term mortality, but also institutionalization, re-hospitalization and receiving homecare services during the one-year follow-up after hospital discharge. The project also explored the association between MPI and mortality in hospitalized older patients in need of complex procedures such as transcatheter aortic valve implantation or enteral tube feeding. Evidence from these studies has prompted the MPI_AGE Investigators to formulate recommendations for healthcare providers, policy makers and the general population which may help to improve the cost-effectiveness of appropriate health care interventions for older patients.
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Luotola K, Jyväkorpi S, Urtamo A, Pitkälä KH, Kivimäki M, Strandberg TE. Statin treatment, phenotypic frailty and mortality among community-dwelling octogenarian men: the HBS cohort. Age Ageing 2020; 49:258-263. [PMID: 31755909 DOI: 10.1093/ageing/afz138] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2019] [Revised: 08/19/2019] [Accepted: 10/01/2019] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND statin treatment has increased also among people aged 80 years and over, but adverse effects potentially promoting frailty and loss of resilience are frequent concerns. METHODS in the Helsinki Businessmen Study, men born in 1919-34 (original n = 3,490) have been followed up since the 1960s. In 2011, a random subcohort of home-living survivors (n = 525) was assessed using questionnaires and clinical (including identification of phenotypic frailty) and laboratory examinations. A 7-year mortality follow-up ensued. RESULTS we compared 259 current statin users (median age 82 years, interquartile range 80-85 years) with 266 non-users (83; 80-86 years). Statin users had significantly more multimorbidity than non-users (prevalencies 72.1% and 50.4%, respectively, P < 0.0001) and worse glucose status than non-users (prevalencies of diabetes 19.0% and 9.4%, respectively, P = 0.0008). However, there was no difference in phenotypic frailty (10.7% versus 11.2%, P = 0.27), and statin users had higher plasma prealbumin level than non-users (mean levels 257.9 and 246.3 mg/L, respectively, P = 0.034 adjusted for age, body mass index and C-reactive protein) implying better nutritional status. Despite morbidity difference, age-adjusted 7-year mortality was not different between the two groups (98 and 103 men among users and non-users of statins, respectively, hazard ratio 0.96, 95% confidence interval 0.72-1.30). CONCLUSIONS our study suggests that male octogenarian statin users preserved resilience and survival despite multimorbidity, and this may be associated with better nutritional status among statin users.
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Affiliation(s)
- Kari Luotola
- University of Helsinki, Clinicum, and Helsinki University Hospital, Helsinki, Finland
| | - Satu Jyväkorpi
- University of Helsinki, Clinicum, and Helsinki University Hospital, Helsinki, Finland
| | - Annele Urtamo
- University of Helsinki, Clinicum, and Helsinki University Hospital, Helsinki, Finland
| | - Kaisu H Pitkälä
- University of Helsinki, Clinicum, and Helsinki University Hospital, Helsinki, Finland
| | - Mika Kivimäki
- University of Helsinki, Clinicum, and Helsinki University Hospital, Helsinki, Finland
- Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Timo E Strandberg
- University of Helsinki, Clinicum, and Helsinki University Hospital, Helsinki, Finland
- University of Oulu, Center for Life Course Health Research, Oulu, Finland
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13
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Bryant K, Sorich MJ, Woodman RJ, Mangoni AA. Validation and Adaptation of the Multidimensional Prognostic Index in an Older Australian Cohort. J Clin Med 2019; 8:E1820. [PMID: 31683820 PMCID: PMC6912422 DOI: 10.3390/jcm8111820] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Revised: 10/29/2019] [Accepted: 10/29/2019] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND AND AIMS The Multidimensional Prognostic Index (MPI), an objective and quantifiable tool based on the Comprehensive Geriatric Assessment, has been shown to predict adverse outcomes in European cohorts. We conducted a validation study of the original MPI, and of adapted versions that accounted for the use of specific drugs and cultural diversity in the assessment of cognition, in older Australians. METHODS The capacity of the MPI to predict 12-month mortality was assessed in 697 patients (median age: 80 years; interquartile range: 72-86) admitted to a metropolitan teaching hospital between September 2015 and February 2017. RESULTS In simple logistic regression analysis, the MPI was associated with 12-month mortality (Low risk: OR reference group; moderate risk: OR 2.50, 95% CI: 1.67-3.75; high risk: OR 4.24, 95% CI: 2.28-7.88). The area under the receiver operating characteristic curve (AUC) for the unadjusted MPI was 0.61 (0.57-0.65) and 0.64 (95% CI: 0.59-0.68) with age and sex adjusted. The adapted versions of the MPI did not significantly change the AUC of the original MPI. CONCLUSION The original and adapted MPI were strongly associated with 12-month mortality in an Australian cohort. However, the discriminatory performance was lower than that reported in European studies.
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Affiliation(s)
- Kimberley Bryant
- Discipline of Clinical Pharmacology, College of Medicine and Public Health, Flinders University and Flinders Medical Centre, Bedford Park, 5042, South Australia, Australia.
| | - Michael J Sorich
- Discipline of Clinical Pharmacology, College of Medicine and Public Health, Flinders University and Flinders Medical Centre, Bedford Park, 5042, South Australia, Australia.
| | - Richard J Woodman
- Flinders Centre for Epidemiology and Biostatistics, College of Medicine and Public Health, Flinders University, Bedford Park, 5042, South Australia, Australia.
| | - Arduino A Mangoni
- Discipline of Clinical Pharmacology, College of Medicine and Public Health, Flinders University and Flinders Medical Centre, Bedford Park, 5042, South Australia, Australia.
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14
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Strandberg TE, Urtamo A, Kähärä J, Strandberg AY, Pitkälä KH, Kautiainen H. Statin Treatment Is Associated With a Neutral Effect on Health-Related Quality of Life Among Community-Dwelling Octogenarian Men: The Helsinki Businessmen Study. J Gerontol A Biol Sci Med Sci 2019; 73:1418-1423. [PMID: 29659717 DOI: 10.1093/gerona/gly073] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2017] [Indexed: 11/14/2022] Open
Abstract
Background Statin treatment is common among 80+ people, but little is known about statin effects on health-related quality of life (HRQoL) in this oldest age group. Methods In the Helsinki Businessmen Study (HBS), men born from 1919 to 1934 (original n = 3,490), have been followed-up since the 1960s. In 2015, a questionnaire about lifestyle, diseases, and medications, and including RAND-36/SF-36 HRQoL instrument was mailed to survivors. About 612 men (72.6%) responded, 530 of them reporting their medications (98% community-living). Propensity score analysis was used to compare statin users and nonusers for HRQoL. Results We compared 229 current statin users (median age 85 years, interquartile range 84-88 years) with 301 nonusers (86; 84-89 years). Current statin users had had significantly higher serum cholesterol level in midlife (p < .001), but current lifestyle-related characteristics were similar in users and nonusers. Statin users reported more hypertension (61.1%, p < .001), diabetes (23.6%, p <.001), and atherosclerotic cardiovascular disease (ASCVD, 33.6%, p <.001), than nonusers. Statin users reported higher mean scores than nonusers in all eight RAND-36 subscales, but after adjustments for multiplicity and a propensity score we found no significant differences between statin users and nonusers. Stratification for primary (no ASCVD) and secondary (with CVD) prevention supported the main results. Conclusions Our study suggests that statin treatment has no significant effect on health-related quality of life among octogenarian, community-dwelling men. The results contradict concerns about statin treatment in the oldest-old, and may caution against deprescribing of statins due to old age alone.
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Affiliation(s)
- Timo E Strandberg
- University of Helsinki, Clinicum, and Helsinki University Hospital, Finland.,Center for Life Course Health Research, University of Oulu, Finland
| | - Annele Urtamo
- University of Helsinki, Clinicum, and Helsinki University Hospital, Finland
| | - Juuso Kähärä
- University of Helsinki, Clinicum, and Helsinki University Hospital, Finland
| | - Arto Y Strandberg
- University of Helsinki, Clinicum, and Helsinki University Hospital, Finland
| | - Kaisu H Pitkälä
- University of Helsinki, Clinicum, and Helsinki University Hospital, Finland
| | - Hannu Kautiainen
- Kuopio University Hospital, Finland.,Folkhälsan Research Centre, Helsinki, Finland
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15
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Vicent L, Ariza-Solé A, Díez-Villanueva P, Alegre O, Sanchís J, López-Palop R, Formiga F, González-Salvado V, Bueno H, Marín F, Llibre C, Llaó I, Vidán M, Abu-Assi E, Aboal J, Martínez-Sellés M. Statin Treatment and Prognosis of Elderly Patients Discharged after Non-ST Segment Elevation Acute Coronary Syndrome. Cardiology 2019; 143:14-21. [DOI: 10.1159/000500824] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2019] [Accepted: 05/02/2019] [Indexed: 01/05/2023]
Abstract
Background: Statins are recommended for secondary prevention. Our aims were to describe the proportion of very elderly patients receiving statins after non-ST segment elevation acute coronary syndrome (NST-ACS) and to determine the prognostic implications of statins use. Methods: This prospective registry was performed in 44 hospitals that included patients ≥80 years discharged after a NST-ACS from April 2016 to September 2016. Results: We included 523 patients, the mean age was 84.2 ± 4.0 years and 200 patients (38.2%) were women. Previous statin treatment was recorded in 282 patients (53.4%), and 135 (32.5%) had LDL cholesterol levels >2.6 mmol/L. Mean LDL cholesterol levels during admission were 2.3 ± 0.9 mmol/L. Statins were prescribed at discharge to 474 patients (90.6%). Compared with patients discharged on statins, those that did not receive statins were more often frail (22 [47.8%] vs. 114 [24.4%], p < 0.01) and underwent an invasive approach less frequently (30 [61.2%] vs. 374 [78.9%], p = 0.01). During a 6-month follow-up, 50 patients died (9.5%). There was a nonsignificant trend to higher mortality in patients not treated with statins (6 [15%] vs. 44 [9.6%], p = 0.30), but statins were not independently associated with lower mortality (hazard ratio [HR] 0.79; 95% confidence interval [CI] 0.30–2.11, p = 0.65), nor with a reduction in the combined endpoint mortality/hospitalizations (HR 0.89; 95% CI 0.52–1.55, p = 0.69). Conclusions: Although most octogenarians presenting a NST-ACS are already on statins before the episode, their LDL cholesterol is frequently >2.6 mmol/L. Octogenarians who do not receive statins have a high-risk profile, with significant frailty and comorbidity.
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16
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Veronese N, Cella A, Cruz-Jentoft AJ, Polidori MC, Mattace-Raso F, Paccalin M, Topinkova E, Greco A, Mangoni AA, Daragjati J, Siri G, Pilotto A. Enteral tube feeding and mortality in hospitalized older patients: A multicenter longitudinal study. Clin Nutr 2019; 39:1608-1612. [PMID: 31378515 DOI: 10.1016/j.clnu.2019.07.011] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2018] [Revised: 05/07/2019] [Accepted: 07/09/2019] [Indexed: 11/28/2022]
Abstract
BACKGROUND & AIMS The literature regarding enteral nutrition and mortality in older frail people is limited and still conflicting. Moreover, the potential role of comprehensive geriatric assessment is poorly explored. We therefore aimed to investigate whether the Multidimensional Prognostic Index (MPI), an established tool that assesses measures of frailty and predicts mortality, may help physicians in identifying patients in whom ETF (enteral tube feeding) is effective in terms of reduced mortality. METHODS Observational, longitudinal, multicenter study with one year of follow-up. Data regarding ETF were recorded through medical records. A standardized comprehensive geriatric assessment was used to calculate the MPI. Participants were divided in low (MPI-1), moderate (MPI-2) or severe (MPI-3) risk of mortality. Data regarding mortality were recorded through administrative information. RESULTS 1064 patients were included, with 79 (13 in MPI 1-2 and 66 in MPI-3 class) receiving ETF. In multivariable analysis, patients receiving ETF experienced a higher risk of death (odds ratio, OR = 2.00; 95% confidence intervals, CI: 1.19-3.38). However, after stratifying for their MPI at admission, mortality was higher in MPI-3 class patients (OR = 2.03; 95%CI: 1.09-3.76), but not in MPI 1-2 class patients (OR = 1.51; 95%CI: 0.44-5.25). The use of propensity score confirmed these findings. CONCLUSIONS ETF is associated with a higher risk of death. However, this is limited to more frail patients, suggesting the importance of the MPI in the prognostic evaluation of ETF.
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Affiliation(s)
- Nicola Veronese
- Department of Geriatric Care, Orthogeriatrics and Rehabilitation, Geriatric Unit, E.O. Galliera Hospital, Genova, Italy; Azienda ULSS 3 Serenissima, Primary Care Department, District 3, Venice, Italy.
| | - Alberto Cella
- Department of Geriatric Care, Orthogeriatrics and Rehabilitation, Geriatric Unit, E.O. Galliera Hospital, Genova, Italy
| | | | | | - Francesco Mattace-Raso
- Section of Geriatric Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Marc Paccalin
- Geriatrics Department University Hospital Poitiers, France
| | - Eva Topinkova
- First Faculty of Medicine, Charles University in Prague, Czech Republic
| | - Antonio Greco
- Geriatrics Unit, IRCCS CSS, San Giovanni Rotondo, Italy
| | - Arduino A Mangoni
- Department of Clinical Pharmacology, College of Medicine and Public Health, Flinders University and Flinders Medical Centre, Adelaide, Australia
| | - Julia Daragjati
- Geriatrics Unit, AULSS 6 Euganea, San Antonio Hospital, Padova, Italy
| | - Giacomo Siri
- Scientific Coordination Unit, E.O. Galliera Hospital, Genova, Italy
| | - Alberto Pilotto
- Department of Geriatric Care, Orthogeriatrics and Rehabilitation, Geriatric Unit, E.O. Galliera Hospital, Genova, Italy; Department of Interdisciplinary Medicine, 'Aldo Moro' University of Bari, Italy
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17
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Grundy SM, Stone NJ, Bailey AL, Beam C, Birtcher KK, Blumenthal RS, Braun LT, de Ferranti S, Faiella-Tommasino J, Forman DE, Goldberg R, Heidenreich PA, Hlatky MA, Jones DW, Lloyd-Jones D, Lopez-Pajares N, Ndumele CE, Orringer CE, Peralta CA, Saseen JJ, Smith SC, Sperling L, Virani SS, Yeboah J. 2018 AHA/ACC/AACVPR/AAPA/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA Guideline on the Management of Blood Cholesterol: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. J Am Coll Cardiol 2019; 73:e285-e350. [PMID: 30423393 DOI: 10.1016/j.jacc.2018.11.003] [Citation(s) in RCA: 1595] [Impact Index Per Article: 265.8] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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18
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Grundy SM, Stone NJ, Bailey AL, Beam C, Birtcher KK, Blumenthal RS, Braun LT, de Ferranti S, Faiella-Tommasino J, Forman DE, Goldberg R, Heidenreich PA, Hlatky MA, Jones DW, Lloyd-Jones D, Lopez-Pajares N, Ndumele CE, Orringer CE, Peralta CA, Saseen JJ, Smith SC, Sperling L, Virani SS, Yeboah J. 2018 AHA/ACC/AACVPR/AAPA/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA Guideline on the Management of Blood Cholesterol: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation 2019; 139:e1082-e1143. [PMID: 30586774 PMCID: PMC7403606 DOI: 10.1161/cir.0000000000000625] [Citation(s) in RCA: 1377] [Impact Index Per Article: 229.5] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Scott M Grundy
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Neil J Stone
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Alison L Bailey
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Craig Beam
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Kim K Birtcher
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Roger S Blumenthal
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Lynne T Braun
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Sarah de Ferranti
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Joseph Faiella-Tommasino
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Daniel E Forman
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Ronald Goldberg
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Paul A Heidenreich
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Mark A Hlatky
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Daniel W Jones
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Donald Lloyd-Jones
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Nuria Lopez-Pajares
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Chiadi E Ndumele
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Carl E Orringer
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Carmen A Peralta
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Joseph J Saseen
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Sidney C Smith
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Laurence Sperling
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Salim S Virani
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Joseph Yeboah
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
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Abstract
Purpose of Review Hypercholesterolemia and statin treatment are nowadays common among people older than 75 years, but clinical heterogeneity in this increasing age group is wide, and treatment decisions may differ from those in younger patients. Aim is to discuss the presentation, modifying factors, and treatment decisions of hypercholesterolemia (usually with statins) in older persons and focusing on primary prevention. Recent Findings There are no randomized controlled trials in persons older than 80 years at baseline. Randomized controlled trial findings in younger patients and 75+ subgroups and in observational studies support treatment in secondary prevention of atherosclerotic cardiovascular disease (ASCVD), but trial evidence in primary prevention is less clear. Available data do not imply specific harms in older patients, and, therefore, also, judicious primary prevention is possible. However, persons older than 75 years are biologically a very heterogeneous group with frequent frailty, comorbid conditions, and multiple concomitant drugs. All these, as well as personal preferences, must be taken into account in treatment decisions. Summary Statin treatment is only one way to prevent ASCVD in older people. Treatment of hypercholesterolemia should be started far before 75–80 years, and there is no need to discontinue statin treatment due to chronological age alone. After 75 years, treatment should be started in patients with ASCVD and judiciously in primary prevention. Like all prevention, statin treatment should be discontinued when palliative treatment is started. Ongoing and planned trials in 70+ individuals will give more information about primary prevention in older persons.
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20
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Liu CL, Lin MY, Hwang SJ, Liu CK, Lee HL, Wu MT. Association of hyperglycemia episodes on long-term mortality in type 2 diabetes mellitus with vascular dementia: A population-based cohort study. J Diabetes Complications 2019; 33:123-127. [PMID: 30420126 DOI: 10.1016/j.jdiacomp.2018.10.014] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2018] [Revised: 10/19/2018] [Accepted: 10/20/2018] [Indexed: 11/20/2022]
Abstract
AIM This study investigated the effect of severe hyperglycemia episodes on survival and associated factors related to risk of mortality in type 2 diabetes mellitus (DM) patients with dementia. METHODS We enrolled all type 2 DM patients newly diagnosed as having dementia in Taiwan from 1998 to 2005. These patients were categorized into those who had hyperglycemia episodes and those who did not based on whether or not they had been hospitalized for hyperglycemia after dementia diagnosis. Factors independently associated with mortality were evaluated. RESULTS Of 5314 patients identified, 303 (5.7%) had at least one hyperglycemia hospitalization. Patients with at least one hyperglycemia hospitalization had a 30% greater risk of mortality than those who had no such admissions (adjusted hazard ratio: 1.30, 95% confidence interval: 1.09-1.55). Other variables, including age, sex, geographical region, insurance amount, patient with congestive heart failure, cerebrovascular disease, renal disease, use of anti-hypertensive drugs, use of anti-lipid drugs, and use of insulin were independently associated with risk of mortality. CONCLUSION Severe hyperglycemia is common in type 2 DM patients with dementia and it substantially shortens their life. The findings of this study suggest a great need to improve care in DM patients with dementia.
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Affiliation(s)
- Chun-Lin Liu
- Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan; Calo Psychiatric Center, Pingtung County, Taiwan
| | - Ming-Yen Lin
- Department of Renal Care, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan; Division of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan; Master of Public Health Degree Program, College of Public Health, National Taiwan University, Taipei, Taiwan.
| | - Shang-Jyh Hwang
- Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan; Department of Renal Care, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan; Division of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan; Institute of Population Health Sciences, National Health Research Institutes, Miaoli, Taiwan.
| | - Ching-Kuan Liu
- Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan; Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan.
| | - Huei-Lan Lee
- Division of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Ming-Tsang Wu
- Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan; Department of Public Health, Kaohsiung Medical University, Kaohsiung, Taiwan; Department of Family Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan.
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21
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Strandberg TE. Challenges of a Statin Trial in Older People. J Am Geriatr Soc 2019; 67:856-857. [PMID: 30688358 DOI: 10.1111/jgs.15763] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2018] [Accepted: 11/26/2018] [Indexed: 11/30/2022]
Affiliation(s)
- Timo E Strandberg
- University of Helsinki, Clinicum, and Helsinki University Hospital, Helsinki, Finland.,Center for Life Course Health Research, University of Oulu, Oulu, Finland
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Grundy SM, Stone NJ, Bailey AL, Beam C, Birtcher KK, Blumenthal RS, Braun LT, de Ferranti S, Faiella-Tommasino J, Forman DE, Goldberg R, Heidenreich PA, Hlatky MA, Jones DW, Lloyd-Jones D, Lopez-Pajares N, Ndumele CE, Orringer CE, Peralta CA, Saseen JJ, Smith SC, Sperling L, Virani SS, Yeboah J. 2018 AHA/ACC/AACVPR/AAPA/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA Guideline on the Management of Blood Cholesterol: Executive Summary: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation 2018; 139:e1046-e1081. [PMID: 30565953 DOI: 10.1161/cir.0000000000000624] [Citation(s) in RCA: 306] [Impact Index Per Article: 43.7] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Affiliation(s)
- Scott M Grundy
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Neil J Stone
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Alison L Bailey
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Craig Beam
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Kim K Birtcher
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Roger S Blumenthal
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Lynne T Braun
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Sarah de Ferranti
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Joseph Faiella-Tommasino
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Daniel E Forman
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Ronald Goldberg
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Paul A Heidenreich
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Mark A Hlatky
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Daniel W Jones
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Donald Lloyd-Jones
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Nuria Lopez-Pajares
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Chiadi E Ndumele
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Carl E Orringer
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Carmen A Peralta
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Joseph J Saseen
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Sidney C Smith
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Laurence Sperling
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Salim S Virani
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Joseph Yeboah
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
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Grundy SM, Stone NJ, Bailey AL, Beam C, Birtcher KK, Blumenthal RS, Braun LT, de Ferranti S, Faiella-Tommasino J, Forman DE, Goldberg R, Heidenreich PA, Hlatky MA, Jones DW, Lloyd-Jones D, Lopez-Pajares N, Ndumele CE, Orringer CE, Peralta CA, Saseen JJ, Smith SC, Sperling L, Virani SS, Yeboah J. 2018 AHA/ACC/AACVPR/AAPA/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA Guideline on the Management of Blood Cholesterol: Executive Summary: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. J Am Coll Cardiol 2018; 73:3168-3209. [PMID: 30423391 DOI: 10.1016/j.jacc.2018.11.002] [Citation(s) in RCA: 1126] [Impact Index Per Article: 160.9] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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No modifying effect of nutritional status on statins therapy in relation to all-cause death in older patients with coronary artery disease. Aging Clin Exp Res 2018; 30:1071-1077. [PMID: 29260400 DOI: 10.1007/s40520-017-0881-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2017] [Accepted: 12/11/2017] [Indexed: 02/05/2023]
Abstract
BACKGROUND Statins therapy in the secondary prevention of coronary artery disease (CAD) is associated with a lower risk of adverse cardiovascular events. However, little is known regarding the association of elderly patients with nutritional risk on statin therapy. AIMS To investigate whether older patients with CAD who were at nutritional risk gain similar survival benefit from statins therapy as their counterparts without nutritional risk. METHODS We conducted a retrospective hospital-based cohort study among 1705 patients with CAD who were older than 65 years of age, using coronary heart disease database from 2008 to 2012. Nutritional status of included patients was gauged using the geriatric nutritional risk index. After stratification by nutritional status, the hazard of all-cause death was compared between those with or without statins therapy. RESULTS Of the 1705 patients included in the study (mean age 72 years; 73% male), all-cause death occurred in 146 (9.2%) patients with statins use and in 33 (26.2%) patients without statins use. The rate of all-cause death was higher in patients not receiving statins irrespective of nutritional status. After adjustments for potential confounders, the HR with statins use was 0.33 (95% CI 0.20-0.55) in patients without nutritional risk and 0.47 (95% CI 0.22-1.00) in patients with nutritional risk. No interaction effect was detected between nutritional status and statins use in relation to all-cause death (P value for interaction effect 0.516). CONCLUSION Despite of the patient's nutritional status, statins therapy as a secondary prevention in elderly CAD patients was associated with decreased risk of all-cause death.
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Sultana J, Fontana A, Giorgianni F, Basile G, Patorno E, Pilotto A, Molokhia M, Stewart R, Sturkenboom M, Trifirò G. Can information on functional and cognitive status improve short-term mortality risk prediction among community-dwelling older people? A cohort study using a UK primary care database. Clin Epidemiol 2017; 10:31-39. [PMID: 29296099 PMCID: PMC5741068 DOI: 10.2147/clep.s145530] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Background Functional and cognitive domains have rarely been evaluated for their prognostic value in general practice databases. The aim of this study was to identify functional and cognitive domains in The Health Improvement Network (THIN) and to evaluate their additional value for the prediction of 1-month and 1-year mortality in elderly people. Materials and methods A cohort study was conducted using a UK nationwide general practitioner database. A total of 1,193,268 patients aged 65 years or older, of whom 15,300 had dementia, were identified from 2000 to 2012. Information on mobility, dressing and accommodation was recorded frequently enough to be analyzed further in THIN. Cognition data could not be used due to very poor recording of data in THIN. One-year and 1-month mortality was predicted using logistic models containing variables such as age, sex, disease score and functionality status. Results A significant but moderate improvement in 1-year and 1-month mortality prediction in elderly people was observed by adding accommodation to the variables age, sex and disease score, as the c-statistic (95% confidence interval [CI]) increased from 0.71 (0.70–0.72) to 0.76 (0.75–0.77) and 0.73 (0.71–0.75) to 0.79 (0.77–0.80), respectively. A less notable improvement in the prediction of 1-year and 1-month mortality was observed in people with dementia. Conclusion Functional domains moderately improved the accuracy of a model including age, sex and comorbidities in predicting 1-year and 1-month mortality risk among community-dwelling older people, but they were much less able to predict mortality in people with dementia. Cognition could not be explored as a predictor of mortality due to insufficient data being recorded.
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Affiliation(s)
- Janet Sultana
- Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Messina, Italy.,Department of Medical Informatics, Erasmus University Medical Centre, Rotterdam, the Netherlands
| | - Andrea Fontana
- Unit of Biostatistics, IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - Francesco Giorgianni
- Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Messina, Italy
| | - Giorgio Basile
- Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Messina, Italy
| | - Elisabetta Patorno
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, USA
| | - Alberto Pilotto
- Geriatrics Unit, Department of Geriatric Care, Ortho Geriatrics and Rehabilitation, Frailty Area, E.O. Galliera Hospital, Genova, Italy
| | - Mariam Molokhia
- Department of Primary Care and Public Health Sciences, King's College, London, UK
| | - Robert Stewart
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience King's College London, UK
| | - Miriam Sturkenboom
- Department of Medical Informatics, Erasmus University Medical Centre, Rotterdam, the Netherlands
| | - Gianluca Trifirò
- Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Messina, Italy.,Department of Medical Informatics, Erasmus University Medical Centre, Rotterdam, the Netherlands
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Association of Antidementia Drugs and Mortality in Community-Dwelling Frail Older Patients With Dementia: The Role of Mortality Risk Assessment. J Am Med Dir Assoc 2017; 19:162-168. [PMID: 29031515 DOI: 10.1016/j.jamda.2017.08.017] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2017] [Revised: 08/22/2017] [Accepted: 08/22/2017] [Indexed: 01/05/2023]
Abstract
OBJECTIVE To evaluate whether treatment with antidementia drugs is associated with reduced mortality in older patients with different mortality risk at baseline. DESIGN Retrospective. SETTING Community-dwelling. PARTICIPANTS A total of 6818 older people who underwent a Standardized Multidimensional Assessment Schedule for Adults and Aged Persons (SVaMA) evaluation to determine accessibility to homecare services or nursing home admission from 2005 to 2013 in the Padova Health District, Italy were included. MEASUREMENTS Mortality risk at baseline was calculated by the Multidimensional Prognostic Index (MPI), based on information collected with the SVaMA. Participants were categorized to have mild (MPI-SVaMA-1), moderate (MPI-SVaMA-2), and high (MPI-SVaMA-3) mortality risk. Propensity score-adjusted hazard ratios (HR) of 2-year mortality were calculated according to antidementia drug treatment. RESULTS Patients treated with antidementia drugs had a significant lower risk of death than untreated patients (HR 0.82; 95% confidence interval [CI] 0.73-0.92 and 0.56; 95% CI 0.49-0.65 for patients treated less than 2 years and more than 2 years treatment, respectively). After dividing patients according to their MPI-SVaMA grade, antidementia treatment was significantly associated with reduced mortality in the MPI-SVaMA-1 mild (HR 0.71; 95% CI 0.54-0.92) and MPI-SVaMA-2 moderate risk (HR 0.61; 95% CI 0.40-0.91, matched sample), but not in the MPI-SVaMA-3 high risk of death. CONCLUSIONS This large community-dwelling patient study suggests that antidementia drugs might contribute to increased survival in older adults with dementia with lower mortality risk.
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Sacha J, Sacha M, Soboń J, Borysiuk Z, Feusette P. Is It Time to Begin a Public Campaign Concerning Frailty and Pre-frailty? A Review Article. Front Physiol 2017; 8:484. [PMID: 28744225 PMCID: PMC5504234 DOI: 10.3389/fphys.2017.00484] [Citation(s) in RCA: 71] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2016] [Accepted: 06/23/2017] [Indexed: 01/06/2023] Open
Abstract
Frailty is a state that encompasses losses in physical, psychological or social domains. Therefore, frail people demonstrate a reduced potential to manage external stressors and to respond to life incidents. Consequently, such persons are prone to various adverse consequences such as falls, cognitive decline, infections, hospitalization, disability, institutionalization, and death. Pre-frailty is a condition predisposing and usually preceding the frailty state. Early detection of frailty (i.e., pre-frailty) may present an opportunity to introduce effective management to improve outcomes. Exercise training appears to be the basis of such management in addition to periodic monitoring of food intake and body weight. However, various nutritional supplements and other probable interventions, such as treatment with vitamin D or androgen, require further investigation. Notably, many societies are not conscious of frailty as a health problem. In fact, people generally do not realize that they can change this unfavorable trajectory to senility. As populations age, it is reasonable to begin treating frailty similarly to other population-affecting disorders (e.g., obesity, diabetes or cardiovascular diseases) and implement appropriate preventative measures. Social campaigns should inform societies about age-related frailty and pre-frailty and suggest appropriate lifestyles to avoid or delay these conditions. In this article, we review current information concerning therapeutic interventions in frailty and pre-frailty and discuss whether a greater public awareness of such conditions and some preventative and therapeutic measures may decrease their prevalence.
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Affiliation(s)
- Jerzy Sacha
- Faculty of Physical Education and Physiotherapy, Opole University of TechnologyOpole, Poland
- Department of Cardiology, University Hospital of the University of OpoleOpole, Poland
| | | | - Jacek Soboń
- Faculty of Physical Education and Physiotherapy, Opole University of TechnologyOpole, Poland
| | - Zbigniew Borysiuk
- Faculty of Physical Education and Physiotherapy, Opole University of TechnologyOpole, Poland
| | - Piotr Feusette
- Department of Cardiology, University Hospital of the University of OpoleOpole, Poland
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Huded CP, Benck LR, Stone NJ, Sweis RN, Ricciardi MJ, Malaisrie SC, Davidson CJ, Flaherty JD. Relation of Intensity of Statin Therapy and Outcomes After Transcatheter Aortic Valve Replacement. Am J Cardiol 2017; 119:1832-1838. [PMID: 28395888 DOI: 10.1016/j.amjcard.2017.02.042] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2016] [Revised: 02/15/2017] [Accepted: 02/15/2017] [Indexed: 11/18/2022]
Abstract
Statin therapy is associated with improved survival in patients at high risk for cardiovascular mortality, but the impact of statin therapy in patients treated with transcatheter aortic valve replacement (TAVR) is unknown. We reviewed 294 consecutive cases of TAVR performed at a single tertiary care medical center. We defined high-intensity statin therapy as atorvastatin 40 to 80 mg/day or rosuvastatin 20 to 40 mg/day. Study outcomes included post-TAVR adverse events, 30-day mortality, and overall survival. At the time of TAVR, 14% (n = 41) were on high-intensity statin therapy, 59% (n = 173) were on low- or moderate-intensity statin therapy, and 27% (n = 80) were not on statin therapy. There was no association between statin therapy and the rate of post-TAVR stroke, myocardial infarction, acute kidney injury, in-hospital mortality, or 30-day mortality. At 2 years, 83% of patients in the high-intensity statin group were alive, 70% in the low/moderate-intensity statin group were alive, and 57% in the no statin group were alive (log-rank p = 0.016). In a risk-adjusted model, high-intensity statin therapy was associated with a 64% reduction in all-cause mortality (hazard ratio 0.36, 95% CI 0.14 to 0.90, p = 0.029) compared with no statin therapy. In conclusion, statin therapy is associated with improved overall survival after TAVR in a dose-dependent manner.
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Affiliation(s)
- Chetan P Huded
- Department of Cardiovascular Medicine, Cleveland Clinic Foundation, Cleveland, Ohio
| | - Lillian R Benck
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Neil J Stone
- Bluhm Cardiovascular Institute, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Ranya N Sweis
- Bluhm Cardiovascular Institute, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Mark J Ricciardi
- Bluhm Cardiovascular Institute, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - S Chris Malaisrie
- Bluhm Cardiovascular Institute, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Charles J Davidson
- Bluhm Cardiovascular Institute, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - James D Flaherty
- Bluhm Cardiovascular Institute, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
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Korytkowski MT, Forman DE. Management of Atherosclerotic Cardiovascular Disease Risk Factors in the Older Adult Patient With Diabetes. Diabetes Care 2017; 40:476-484. [PMID: 28325797 DOI: 10.2337/dc16-0815] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2016] [Accepted: 10/15/2016] [Indexed: 02/03/2023]
Abstract
: Older adults with diabetes are at higher risk for atherosclerotic cardiovascular disease (ASCVD) than younger adults with diabetes and older adults without diabetes. The rationale to implement ASCVD risk-lowering therapies in older adults with diabetes is compelling. Recommendations for lifestyle modification, lipid-lowering therapy, blood pressure management, blood glucose control, and aspirin therapy are often based on studies that show their efficacy in younger populations. However, the risks associated with each of these interventions increase with age, and favorable risk-to-benefit ratios demonstrated in younger adults with diabetes are less certain in older populations. The variability in health status among older adults is pertinent. Those with robust health are more likely to tolerate and derive benefit from many therapies when compared with those who have more complex health including frailty. Age- and/or frailty-stratified data to help clarify these relationships are sparse. In this Perspective, current recommendations for modifying ASCVD risk are described with a review of the pertinent literature that guides their application in older adults. A pragmatic approach to the treatment of ASCVD risk factors in older adults with diabetes is presented.
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Affiliation(s)
- Mary T Korytkowski
- Division of Endocrinology and Metabolism, Department of Medicine, University of Pittsburgh, Pittsburgh, PA
| | - Daniel E Forman
- Division of Geriatric Medicine and Cardiology, Department of Medicine, University of Pittsburgh, Pittsburgh, PA
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Pilotto A, Cella A, Pilotto A, Daragjati J, Veronese N, Musacchio C, Mello AM, Logroscino G, Padovani A, Prete C, Panza F. Three Decades of Comprehensive Geriatric Assessment: Evidence Coming From Different Healthcare Settings and Specific Clinical Conditions. J Am Med Dir Assoc 2017; 18:192.e1-192.e11. [DOI: 10.1016/j.jamda.2016.11.004] [Citation(s) in RCA: 235] [Impact Index Per Article: 29.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2016] [Revised: 11/04/2016] [Accepted: 11/07/2016] [Indexed: 12/27/2022]
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Pilotto A, Gallina P, Panza F, Copetti M, Cella A, Cruz-Jentoft A, Daragjati J, Ferrucci L, Maggi S, Mattace-Raso F, Paccalin M, Polidori MC, Topinkova E, Trifirò G, Welmer AK, Strandberg T, Marchionni N. Relation of Statin Use and Mortality in Community-Dwelling Frail Older Patients With Coronary Artery Disease. Am J Cardiol 2016; 118:1624-1630. [PMID: 27670793 DOI: 10.1016/j.amjcard.2016.08.042] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2016] [Revised: 08/19/2016] [Accepted: 08/19/2016] [Indexed: 01/14/2023]
Abstract
Clinical decision-making for statin treatment in older patients with coronary artery disease (CAD) is under debate, particularly in community-dwelling frail patients at high risk of death. In this retrospective observational study on 2,597 community-dwelling patients aged ≥65 years with a previous hospitalization for CAD, we estimated mortality risk assessed with the Multidimensional Prognostic Index (MPI), based on the Standardized Multidimensional Assessment Schedule for Adults and Aged Persons (SVaMA), used to determine accessibility to homecare services/nursing home admission in 2005 to 2013 in the Padua Health District, Veneto, Italy. Participants were categorized as having mild (MPI-SVaMA-1), moderate (MPI-SVaMA-2), and high (MPI-SVaMA-3) baseline mortality risk, and propensity score-adjusted hazard ratios (HRs) of 3-year mortality rate were calculated according to statin treatment in these subgroups. Greater MPI-SVaMA scores were associated with lower rates of statin treatment and higher 3-year mortality rate (MPI-SVaMA-1 = 23.4%; MPI-SVaMA-2 = 39.1%; MPI-SVaMA-3 = 76.2%). After adjusting for propensity score quintiles, statin treatment was associated with lower 3-year mortality risk irrespective of MPI-SVaMA group (HRs [95% confidence intervals] 0.45 [0.37 to 0.55], 0.44 [0.36 to 0.53], and 0.28 [0.21 to 0.39] in MPI-SVaMA-1, -2, and -3 groups, respectively [interaction test p = 0.202]). Subgroup analyses showed that statin treatment was also beneficial irrespective of age (HRs [95% confidence intervals] 0.38 [0.27 to 0.53], 0.45 [0.38 to 0.54], and 0.44 [0.37 to 0.54] in 65 to 74, 75 to 84, and ≥85 year age groups, respectively [interaction test p = 0.597]). In conclusion, in community-dwelling frail older patients with CAD, statin treatment was significantly associated with reduced 3-year mortality rate irrespective of age and multidimensional impairment, although the frailest patients were less likely to be treated with statins.
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Affiliation(s)
- Alberto Pilotto
- Department of Geriatric Care, OrthoGeriatrics and Rehabilitation, Frailty Area, E.O. Galliera Hospital, National Relevance and High Specialization Hospital, Genoa, Italy; Geriatrics Unit, Azienda ULSS 16 Padova, S. Antonio Hospital, Padua, Italy
| | | | - Francesco Panza
- Neurodegenerative Disease Unit, Department of Basic Medicine, Neuroscience, and Sense Organs, University of Bari Aldo Moro, Bari, Italy.
| | - Massimiliano Copetti
- Unit of Biostatistics, IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Foggia, Italy
| | - Alberto Cella
- Department of Geriatric Care, OrthoGeriatrics and Rehabilitation, Frailty Area, E.O. Galliera Hospital, National Relevance and High Specialization Hospital, Genoa, Italy
| | | | - Julia Daragjati
- Geriatrics Unit, Azienda ULSS 16 Padova, S. Antonio Hospital, Padua, Italy
| | | | - Stefania Maggi
- National Research Council, Neuroscience Section, Padua, Italy
| | | | | | - Maria Cristina Polidori
- Unit for Aging Clinical Research, Department of Medicine II, University of Cologne, Cologne, Germany
| | | | - Gianluca Trifirò
- Erasmus Medical Center, Rotterdam, The Netherlands; University of Messina, Messina, Italy
| | | | - Timo Strandberg
- Geriatric Clinic, Department of Medicine, University of Helsinki, Helsinki, Finland; Institute of Health Sciences/Geriatrics, University of Oulu, and Oulu University Hospital, Oulu, Finland
| | - Niccolò Marchionni
- Division of Geriatric Cardiology and Medicine, University of Florence, Florence, Italy
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33
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Won CW, Kim S. Use of Frailty in Deciding Clinical Treatment Goals for Chronic Disease in Elderly Patients in the Community. J Am Med Dir Assoc 2016; 17:967-969. [PMID: 27594520 DOI: 10.1016/j.jamda.2016.07.019] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2016] [Accepted: 07/21/2016] [Indexed: 11/28/2022]
Affiliation(s)
- Chang Won Won
- Senior Health Care Center, Kyung Hee University Hospital, Seoul, Korea; Department of Family Medicine, College of Medicine, Kyung Hee University, Seoul, Korea
| | - Sunyoung Kim
- Department of Medicine, Graduate School, Kyung Hee University, Seoul, Korea.
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34
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Affiliation(s)
- Timo E. Strandberg
- Department of Geriatrics; University of Helsinki; Helsinki University Hospital; Helsinki Finland
- University of Oulu; Oulu Finland
- Centre for Life Course Epidemiology Research; Oulu Finland
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35
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Retornaz F, Beliard S, Gremeaux E, Chiche L, Lagarde L, Andrianasolo M, Molines C, Oliver C. [Statin and cardiovascular diseases after 75 years]. Rev Med Interne 2016; 37:625-31. [PMID: 27389014 DOI: 10.1016/j.revmed.2016.06.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2016] [Revised: 03/15/2016] [Accepted: 06/02/2016] [Indexed: 11/16/2022]
Abstract
Statin prescription in persons older than 75 years or with frailty signs raises questions on the role of cholesterol in the genesis of atherosclerosis in this population, on the benefit of this treatment in primary or secondary prevention, and on their side effects in a context of multiple pathology and multiple medications. These questions are approached with the available literature data for this population. In secondary prevention, statin prescription is recommended whatever the age although intensive treatment should be avoided. In primary prevention, in the absence of consensus, their prescription depends on both geriatric and cardiovascular risk assessment.
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Affiliation(s)
- F Retornaz
- Centre gérontologique départemental, 176, avenue de Montolivet, 13012 Marseille, France; Institut Silvermed, 176, avenue de Montolivet, 13012 Marseille, France; Laboratoire de santé publique, évaluation des systèmes de soins et santé perçue, EA 3279 UFR médecine Aix-Marseille université, 27, boulevard Jean-Moulin, 13385 Marseille Cedex 05, France; Unité de recherche et de soins en médecine interne et maladies infectieuses, hôpital européen, 6, rue Desirée-Clary, 13003 Marseille, France.
| | - S Beliard
- Service d'endocrinologie, CHU de Conception, 47, boulevard Baille, 13005 Marseille, France; Faculté de médecine, boulevard Pierre-Dramard, 13005 Marseille, France
| | - E Gremeaux
- Centre gérontologique départemental, 176, avenue de Montolivet, 13012 Marseille, France
| | - L Chiche
- Unité de recherche et de soins en médecine interne et maladies infectieuses, hôpital européen, 6, rue Desirée-Clary, 13003 Marseille, France
| | - L Lagarde
- Centre gérontologique départemental, 176, avenue de Montolivet, 13012 Marseille, France
| | - M Andrianasolo
- Centre gérontologique départemental, 176, avenue de Montolivet, 13012 Marseille, France
| | - C Molines
- Centre gérontologique départemental, 176, avenue de Montolivet, 13012 Marseille, France; Institut Silvermed, 176, avenue de Montolivet, 13012 Marseille, France
| | - C Oliver
- Centre gérontologique départemental, 176, avenue de Montolivet, 13012 Marseille, France; Institut Silvermed, 176, avenue de Montolivet, 13012 Marseille, France; Faculté de médecine, boulevard Pierre-Dramard, 13005 Marseille, France
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