Author
Luis Miguel Francisco Gutierrez Robledo
Bio: Luis Miguel Francisco Gutierrez Robledo is an academic researcher from National Autonomous University of Mexico. The author has contributed to research in topics: Medicine & Population ageing. The author has an hindex of 8, co-authored 13 publications receiving 3684 citations.
Topics: Medicine, Population ageing, Health care, Sarcopenia, Dementia
Papers
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Saint Louis University1, French Institute of Health and Medical Research2, Charité3, University of Erlangen-Nuremberg4, The Catholic University of America5, Wright State University6, Columbia University7, University of Maryland, Baltimore8, University of Toronto9, Pennsylvania State University10, Dalhousie University11, University of Antwerp12, Johns Hopkins University13
TL;DR: For the purposes of optimally managing individuals with physical frailty, all persons older than 70 years and all individuals with significant weight loss (>5%) due to chronic disease should be screened for frailty.
2,751 citations
TL;DR: The authors in this article found that 30.23% of the total global burden of disease is attributable to disorders in people aged 60 years and older, and the leading contributors to disease burden in older people are cardiovascular diseases, malignant neoplasms (15·1%), chronic respiratory diseases (9·5%), musculoskeletal diseases (7·5), and neurological and mental disorders (6·6%).
1,377 citations
University of Bedfordshire1, Saint Louis University2, University of Naples Federico II3, Cardiff University4, Bethesda Hospital5, Geneva College6, The Chinese University of Hong Kong7, University of Adelaide8, Deakin University9, University of British Columbia10, Sheba Medical Center11, University of Vienna12, Stanford University13
TL;DR: A collaborative Expert Group of the IAGG and EDWPOP and an International Task Force have explored the key issues that affect diabetes in older people using a robust method comprising a Delphi process and an evidence-based review of the literature.
373 citations
World Health Organization1, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico2, University of London3, Goa Medical College4, University of Auckland5, Aga Khan University Hospital6, Indiana University – Purdue University Indianapolis7, University of Nairobi8, University of Washington9, The Chinese University of Hong Kong10, King's College London11, University of New South Wales12
TL;DR: Islene Araujo de Carvalho and coauthors discuss the WHO guidelines on integrated care for older people in Portugal with a focus on mental health services.
Abstract: Islene Araujo de Carvalho and coauthors discuss the WHO guidelines on integrated care for older people.
56 citations
14 Jan 2019
TL;DR: In this paper, a screening and diagnostic algorithm was proposed by the European Working Group on Sarcopenia in Older People (EWGSOP), to assess the performance of the EWGSOP algorithm in determining the proportion of subjects suspected of having sarcopenia and selected to undergo subsequent muscle mass measurement.
Abstract:
Background: there is a lack of consensus on the diagnosis of sarcopenia. A screening and diagnostic algorithm was proposed by the European Working Group on Sarcopenia in Older People (EWGSOP).
Objective: to assess the performance of the EWGSOP algorithm in determining the proportion of subjects suspected of having sarcopenia and selected to undergo subsequent muscle mass (MM) measurement.
Design: a cross-sectional study.
Setting: the cohorts, Frailty in Brazilian Older People Study—Rio de Janeiro (FIBRA-RJ), Brazil; Coyoacan Cohort (CC), Mexico City, Mexico; and Toledo Study for Healthy Aging (TSHA), Toledo, Spain.
Subjects: three thousand two hundred and sixty community-dwelling individuals, 65 years and older.
Methods: initially, the EWGSOP algorithm was applied using its originally proposed cut-off values for gait speed and handgrip strength; in the second step, values tailored for the specific cohorts were used.
Results: using the originally suggested EWGSOP cut-off points, 83.4% of the total cohort (94.4% in TSHA, 75.5% in FIBRA-RJ, 67.8% in CC) would have been considered as suspected of sarcopenia. Adapted cut-off values lowered the proportion of abnormal results to 34.2% (quintile-based approach) and 23.71% (z-score approach).
Conclusions: the algorithm proposed by the EWGSOP is of limited clinical utility in screening older adults for sarcopenia due to the high proportion of subjects selected to further undergo MM assessment. Tailoring cut-off values to specific characteristics of the population being studied reduces the number of people selected for MM assessment, probably improving the performance of the algorithm. Further research including the objective measure of MM is needed to determine the accuracy of these specific cut-off points.
43 citations
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Istanbul University1, Heidelberg University2, University of Liège3, Karolinska University Hospital4, University of Southampton5, Catholic University of the Sacred Heart6, University of Toulouse7, Newcastle upon Tyne Hospitals NHS Foundation Trust8, University of Erlangen-Nuremberg9, First Faculty of Medicine, Charles University in Prague10, University of Antwerp11, Public Health Research Institute12, University of Verona13
TL;DR: An emphasis is placed on low muscle strength as a key characteristic of sarcopenia, uses detection of low muscle quantity and quality to confirm the sarc Openia diagnosis, and provides clear cut-off points for measurements of variables that identify and characterise sarc openia.
Abstract: Background in 2010, the European Working Group on Sarcopenia in Older People (EWGSOP) published a sarcopenia definition that aimed to foster advances in identifying and caring for people with sarcopenia. In early 2018, the Working Group met again (EWGSOP2) to update the original definition in order to reflect scientific and clinical evidence that has built over the last decade. This paper presents our updated findings. Objectives to increase consistency of research design, clinical diagnoses and ultimately, care for people with sarcopenia. Recommendations sarcopenia is a muscle disease (muscle failure) rooted in adverse muscle changes that accrue across a lifetime; sarcopenia is common among adults of older age but can also occur earlier in life. In this updated consensus paper on sarcopenia, EWGSOP2: (1) focuses on low muscle strength as a key characteristic of sarcopenia, uses detection of low muscle quantity and quality to confirm the sarcopenia diagnosis, and identifies poor physical performance as indicative of severe sarcopenia; (2) updates the clinical algorithm that can be used for sarcopenia case-finding, diagnosis and confirmation, and severity determination and (3) provides clear cut-off points for measurements of variables that identify and characterise sarcopenia. Conclusions EWGSOP2's updated recommendations aim to increase awareness of sarcopenia and its risk. With these new recommendations, EWGSOP2 calls for healthcare professionals who treat patients at risk for sarcopenia to take actions that will promote early detection and treatment. We also encourage more research in the field of sarcopenia in order to prevent or delay adverse health outcomes that incur a heavy burden for patients and healthcare systems.
6,250 citations
TL;DR: The Global Burden of Diseases, Injuries, and Risk Factors Study 2015 (GBD 2015) as discussed by the authors was used to estimate the incidence, prevalence, and years lived with disability for diseases and injuries at the global, regional, and national scale over the period of 1990 to 2015.
5,050 citations
Camden and Islington NHS Foundation Trust1, University College London2, King's College London3, University of Melbourne4, University of Exeter5, Brighton and Sussex Medical School6, University of Manchester7, Tel Aviv University8, Johns Hopkins University9, University of Michigan10, Kaiser Permanente11, University of Washington12, University of Montpellier13, University of Edinburgh14, Dalhousie University15, University of Southern California16, Innlandet Hospital Trust17, University of Oslo18
TL;DR: The Lancet Commission on Dementia Prevention, Intervention, and Care met to consolidate the huge strides that have been made and the emerging knowledge as to what the authors should do to prevent and manage dementia.
3,826 citations
Saint Louis University1, French Institute of Health and Medical Research2, Charité3, University of Erlangen-Nuremberg4, The Catholic University of America5, Wright State University6, Columbia University7, University of Maryland, Baltimore8, University of Toronto9, Pennsylvania State University10, Dalhousie University11, University of Antwerp12, Johns Hopkins University13
TL;DR: For the purposes of optimally managing individuals with physical frailty, all persons older than 70 years and all individuals with significant weight loss (>5%) due to chronic disease should be screened for frailty.
2,751 citations
Harvard University1, King's College London2, University of Cape Town3, Makerere University4, Johns Hopkins University5, University of Washington6, Emory University7, Carter Center8, University of London9, World Psychiatric Association10, University of Melbourne11, Rutgers University12, Al-Quds University13, Peking University14, University of Amsterdam15, University of Health Sciences Lahore16, Dow University of Health Sciences17, University of Ibadan18, University of Liverpool19, Public Health Foundation of India20, Wellcome Trust21, University of Oxford22, South African Medical Research Council23, Groote Schuur Hospital24
1,356 citations