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Munshi M, Kahkoska AR, Neumiller JJ, Alexopoulos AS, Allen NA, Cukierman-Yaffe T, Huang ES, Lee SJ, Lipska KJ, McCarthy LM, Meneilly GS, Pandya N, Pratley RE, Rodriguez-Mañas L, Sinclair AJ, Sy SL, Toschi E, Weinstock RS. Realigning diabetes regimens in older adults: a 4S Pathway to guide simplification and deprescribing strategies. Lancet Diabetes Endocrinol 2025; 13:427-437. [PMID: 39978368 DOI: 10.1016/s2213-8587(24)00372-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2024] [Revised: 11/27/2024] [Accepted: 11/28/2024] [Indexed: 02/22/2025]
Abstract
Treating older people with diabetes is challenging due to multiple medical comorbidities that might interfere with patients' ability to perform self-care. Most diabetes guidelines focus on improving glycaemia through addition of medications, but few address strategies to reduce medication burden for older adults-a concept known as deprescribing. Strategies for deprescribing might include stopping high-risk medications, decreasing the dose, or substituting for less harmful agents. Accordingly, glycaemic management strategies for older adults with type 1 and type 2 diabetes not responding to their current regimen require an understanding of how and when to realign therapy to meet patient's current needs, which represents a major clinical practice gap. With the gap in guidance on how to deprescribe or otherwise adjust therapy in older adults with diabetes in mind, the International Geriatric Diabetes Society, an organisation dedicated to improving care of older individuals with diabetes, convened a Deprescribing Consensus Initiative in May, 2023, to discuss Optimization of diabetes treatment regimens in older adults: the role of de-prescribing, de-intensification and simplification of regimens. The recommendations from this group initiative are discussed and described in this Review.
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Affiliation(s)
- Medha Munshi
- Joslin Diabetes Center, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
| | - Anna R Kahkoska
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Joshua J Neumiller
- Department of Pharmacotherapy, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, WA, USA
| | | | - Nancy A Allen
- College of Nursing, University of Utah, Salt Lake City, UT, USA
| | - Tali Cukierman-Yaffe
- Division of Endocrinology, Diabetes and Metabolism, Sheba Medical Center, Department of Epidemiology and Preventive Medicine, School of Public Health, Faculty of Medicine, Herczeg Institute on Aging, Tel-Aviv University, Tel Aviv, Israel
| | - Elbert S Huang
- Department of Medicine, The University of Chicago, Chicago, Il, USA
| | - Sei J Lee
- Division of Geriatrics, University of San Francisco, CA, USA
| | - Kasia J Lipska
- Department of Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Lisa M McCarthy
- Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON, Canada; Institute for Better Health, Trillium Health Partners, Mississauga, Canada
| | - Graydon S Meneilly
- Division of Geriatric Medicine, Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Naushira Pandya
- Department of Geriatrics, Dr. Kiran C. Patel College of Osteopathic Medicine, Nova Southeastern University, Fort Lauderdale, FL, USA
| | | | | | - Alan J Sinclair
- Foundation for Diabetes Research in Older People, King's College London, London, UK
| | - Sarah L Sy
- Division of Geriatric Medicine, Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Elena Toschi
- Joslin Diabetes Center, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Ruth S Weinstock
- Department of Medicine, Upstate Medical University, Syracuse, NY, USA
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2
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Bilal A. Understanding Diabetes Overtreatment in Older Adults: Are We at an Intersection? Diabetes Care 2025; 48:47-49. [PMID: 39705553 DOI: 10.2337/dci24-0075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2024] [Accepted: 10/02/2024] [Indexed: 12/22/2024]
Affiliation(s)
- Anika Bilal
- AdventHealth Translational Research Institute, Orlando, FL
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3
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ElSayed NA, McCoy RG, Aleppo G, Balapattabi K, Beverly EA, Briggs Early K, Bruemmer D, Echouffo-Tcheugui JB, Ekhlaspour L, Garg R, Khunti K, Lal R, Lingvay I, Matfin G, Napoli N, Pandya N, Pekas EJ, Pilla SJ, Polsky S, Segal AR, Seley JJ, Stanton RC, Bannuru RR. 13. Older Adults: Standards of Care in Diabetes-2025. Diabetes Care 2025; 48:S266-S282. [PMID: 39651977 PMCID: PMC11635042 DOI: 10.2337/dc25-s013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2024]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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4
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Ștefănescu C, Davidson M. Should dietary restrictions be imposed on Alzheimer's Disease patients affected by type 2 diabetes? DIALOGUES IN CLINICAL NEUROSCIENCE 2024; 26:53-55. [PMID: 39150448 PMCID: PMC11332299 DOI: 10.1080/19585969.2024.2392491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2024] [Revised: 08/08/2024] [Accepted: 08/09/2024] [Indexed: 08/17/2024]
Abstract
INTRODUCTION Antidiabetic drugs, reduction of carbohydrates intake, maintaining normal weight and physical activity are the cornerstone of diabetes 2 treatment. METHODS This opinion article is not intended to challenge hundreds of studies unequivocally demonstrating the benefits of a healthy lifestyle including appropriate diet in controlling the consequences of T2DM. The article questions whether the benefits of dietary restrictions for the management of T2D in older adults who are already demented, are worth the potential detrimental effects on quality of life for the patients and their caregivers, as well as the effects of dietary restrictions on frailty, sarcopenia. DISCUSSION However, the benefit of dietary restrictions including carbohydrates restrictions, might not manifest in elderly Alzheimer and vascular dementia patients with type 2 diabetes. On the contrary, such restrictions might hinder the patients' and caregiver's quality of life and encumber attempts to maintain normal weight in a population which tends to be underweight. Therefore, the benefit/risk ratio of dietary restriction should be weighed in this population on an individual basis.
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Affiliation(s)
- Cristina Ștefănescu
- Department of Dentistry, Faculty of Medicine and Pharmacy, ”Dunărea de Jos” University, Galați, România, Galați, Romania
| | - Michael Davidson
- Department of Basic and Clinical Sciences, Psychiatry University of Nicosia Medical School, Nicosia, Cyprus
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Moon JS, Kang S, Choi JH, Lee KA, Moon JH, Chon S, Kim DJ, Kim HJ, Seo JA, Kim MK, Lim JH, Song YJ, Yang YS, Kim JH, Lee YB, Noh J, Hur KY, Park JS, Rhee SY, Kim HJ, Kim HM, Ko JH, Kim NH, Kim CH, Ahn J, Oh TJ, Kim SK, Kim J, Han E, Jin SM, Bae J, Jeon E, Kim JM, Kang SM, Park JH, Yun JS, Cha BS, Moon MK, Lee BW. 2023 Clinical Practice Guidelines for Diabetes Management in Korea: Full Version Recommendation of the Korean Diabetes Association. Diabetes Metab J 2024; 48:546-708. [PMID: 39091005 PMCID: PMC11307112 DOI: 10.4093/dmj.2024.0249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Accepted: 06/20/2024] [Indexed: 08/04/2024] Open
Affiliation(s)
- Jun Sung Moon
- Department of Internal Medicine, Yeungnam University College of Medicine, Daegu, Korea
| | - Shinae Kang
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Jong Han Choi
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Korea
| | - Kyung Ae Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Jeonbuk National University Hospital, Jeonbuk National University Medical School, Jeonju, Korea
| | - Joon Ho Moon
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Suk Chon
- Department of Endocrinology and Metabolism, College of Medicine, Kyung Hee University, Seoul, Korea
| | - Dae Jung Kim
- Department of Endocrinology and Metabolism, Ajou University Hospital, Ajou University School of Medicine, Suwon, Korea
| | - Hyun Jin Kim
- Department of Internal Medicine, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, Korea
| | - Ji A Seo
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Korea
| | - Mee Kyoung Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Yeouido St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Jeong Hyun Lim
- Department of Food Service and Nutrition Care, Seoul National University Hospital, Seoul, Korea
| | - Yoon Ju Song
- Department of Food Science and Nutrition, The Catholic University of Korea, Bucheon, Korea
| | - Ye Seul Yang
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Jae Hyeon Kim
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - You-Bin Lee
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Junghyun Noh
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Inje University Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Korea
| | - Kyu Yeon Hur
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jong Suk Park
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Sang Youl Rhee
- Department of Endocrinology and Metabolism, College of Medicine, Kyung Hee University, Seoul, Korea
| | - Hae Jin Kim
- Department of Endocrinology and Metabolism, Ajou University Hospital, Ajou University School of Medicine, Suwon, Korea
| | - Hyun Min Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Chung-Ang University College of Medicine, Seoul, Korea
| | - Jung Hae Ko
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Inje University Haeundae Paik Hospital, Inje University College of Medicine, Busan, Korea
| | - Nam Hoon Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea
| | - Chong Hwa Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Sejong General Hospital, Bucheon, Korea
| | - Jeeyun Ahn
- Department of Ophthalmology, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
| | - Tae Jung Oh
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Soo-Kyung Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Korea
| | - Jaehyun Kim
- Department of Pediatrics, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Eugene Han
- Department of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea
| | - Sang-Man Jin
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jaehyun Bae
- Department of Internal Medicine, Hallym University Kangnam Sacred Heart Hospital, College of Medicine, Hallym University, Seoul, Korea
| | - Eonju Jeon
- Department of Internal Medicine, Daegu Catholic University School of Medicine, Daegu, Korea
| | - Ji Min Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Chungnam National University College of Medicine, Daejeon, Korea
| | - Seon Mee Kang
- Department of Internal Medicine, Kangwon National University Hospital, Kangwon National University School of Medicine, Chuncheon, Korea
| | - Jung Hwan Park
- Division of Endocrinology & Metabolism, Department of Internal Medicine, Hanyang University College of Medicine, Seoul, Korea
| | - Jae-Seung Yun
- Division of Endocrinology and Metabolism, Department of Internal Medicine, St. Vincent’s Hospital, College of Medicine, The Catholic University of Korea, Suwon, Korea
| | - Bong-Soo Cha
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - Min Kyong Moon
- Department of Internal Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
| | - Byung-Wan Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
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Zhu M, Cui M, Nathan AG, Press VG, Wan W, Miles C, Ali R, Pusinelli M, Huisingh‐Scheetz M, Huang ES. A nurse driven care management program to engage older diabetes patients in personalized goal setting and disease management. Health Sci Rep 2024; 7:e2208. [PMID: 38915356 PMCID: PMC11194180 DOI: 10.1002/hsr2.2208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 05/15/2024] [Accepted: 06/06/2024] [Indexed: 06/26/2024] Open
Abstract
Background and Aims Multiple diabetes care guidelines have called for the personalization of risk factor goals, medication management, and self-care plans among older patients. Study of the implementation of these recommendations is needed. This study aimed to test whether a patient survey embedded in the Electronic Healthcare Record (EHR), coupled with telephonic nurse care management, could engage patients in personalized goal setting and chronic disease management. Methods We conducted a single-center equal-randomization delayed comparator trial at the primary care clinics of the University of Chicago Medicine from 2018.6 to 2019.12. Patients over the age of 65 years with type 2 diabetes with an active patient portal account were recruited and randomized to receive an EHR embedded goal setting and preference survey immediately in the intervention arm or after 6 months in the delayed intervention control arm. In the intervention arm, nurses reviewed American Diabetes Association recommendations for A1C goals based on health status class, established personalized goals, and provided monthly telephonic care management phone calls for a maximum of 6 months. Our primary outcome was the documentation of a personalized A1C goal in the EHR. Results A total of 100 patients completed the trial (mean age, 72.51 [SD, 5.22] years; mean baseline A1C, 7.14% [SD, 1.06%]; 68% women). The majority were in the Healthy (59%) followed by Complex (30%) and Very Complex (11%) health status classes. Documentation of an A1C goal in the EHR increased from 42% to 90% (p < 0.001) at 6 months in the intervention group and from 54% to 56% in the control group. Across health status classes, patients set similar A1C goals. Conclusions Older patients can be engaged in personalized goal setting and disease management through an embedded EHR intervention. The clinical impact of the intervention may differ if deployed among older patients with more complex health needs and higher glucose levels. Trial Registration ClinicalTrials.gov Identifier: NCT03692208.
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Affiliation(s)
- Mengqi Zhu
- Department of MedicineUniversity of ChicagoChicagoIllinoisUSA
- Division of Epidemiology and BiostatisticsUniversity of Illinois at ChicagoChicagoIllinoisUSA
| | - Michael Cui
- Department of MedicineUniversity of ChicagoChicagoIllinoisUSA
- Department of Internal MedicineRush University System for HealthChicagoIllinoisUSA
| | - Aviva G. Nathan
- Department of MedicineUniversity of ChicagoChicagoIllinoisUSA
| | | | - Wen Wan
- Department of MedicineUniversity of ChicagoChicagoIllinoisUSA
| | - Cristy Miles
- Department of MedicineUniversity of ChicagoChicagoIllinoisUSA
- School of MedicineStanford UniversityChicagoIllinoisUSA
| | - Rabia Ali
- Department of MedicineUniversity of ChicagoChicagoIllinoisUSA
- Division of EndocrinologyUC San Diego HealthSan DiegoCaliforniaUSA
| | - Mariko Pusinelli
- Department of MedicineUniversity of ChicagoChicagoIllinoisUSA
- Affiliated OncologistsPark RidgeIllinoisUSA
| | | | - Elbert S. Huang
- Department of MedicineUniversity of ChicagoChicagoIllinoisUSA
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Schleiden LJ, Klima G, Rodriguez KL, Ersek M, Robinson JE, Hickson RP, Smith D, Cashy J, Sileanu FE, Thorpe CT. Clinician and Family Caregiver Perspectives on Deprescribing Chronic Disease Medications in Older Nursing Home Residents Near the End of Life. Drugs Aging 2024; 41:367-377. [PMID: 38575748 PMCID: PMC11021174 DOI: 10.1007/s40266-024-01110-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/07/2024] [Indexed: 04/06/2024]
Abstract
INTRODUCTION Nursing home (NH) residents with limited life expectancy (LLE) who are intensely treated for hyperlipidemia, hypertension, or diabetes may benefit from deprescribing. OBJECTIVE This study sought to describe NH clinician and family caregiver perspectives on key influences on deprescribing decisions for chronic disease medications in NH residents near the end of life. METHODS We recruited family caregivers of veterans who recently died in a Veterans Affairs (VA) NH, known as community living centers (CLCs), and CLC healthcare clinicians (physicians, nurse practitioners, physician assistants, pharmacists, registered nurses). Respondents completed semi-structured interviews about their experiences with deprescribing statin, antihypertensive, and antidiabetic medications for residents near end of life. We conducted thematic analysis of interview transcripts to identify key themes regarding influences on deprescribing decisions. RESULTS Thirteen family caregivers and 13 clinicians completed interviews. Key themes included (1) clinicians and caregivers both prefer to minimize drug burden; (2) clinical factors strongly influence deprescribing of chronic disease medications, with differences in how clinicians and caregivers weigh specific factors; (3) caregivers trust and rely on clinicians to make deprescribing decisions; (4) clinicians perceive caregiver involvement and buy-in as essential to deprescribing decisions, which requires time and effort to obtain; and (5) clinicians perceive conflicting care from other clinicians as a barrier to deprescribing. CONCLUSIONS Findings suggest a need for efforts to encourage communication with and education for family caregivers of residents with LLE about deprescribing, and to foster better collaboration among clinicians in CLC and non-CLC settings.
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Affiliation(s)
- Loren J Schleiden
- Center for Health Equity Research and Promotion (CHERP), VA Pittsburgh Healthcare System, Research Office Building #30, University Drive (151C), Pittsburgh, PA, 15240, USA.
| | - Gloria Klima
- Center for Health Equity Research and Promotion (CHERP), VA Pittsburgh Healthcare System, Research Office Building #30, University Drive (151C), Pittsburgh, PA, 15240, USA
| | - Keri L Rodriguez
- Center for Health Equity Research and Promotion (CHERP), VA Pittsburgh Healthcare System, Research Office Building #30, University Drive (151C), Pittsburgh, PA, 15240, USA
| | - Mary Ersek
- Veteran Experience Center, Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA
- Center for Health Equity Research and Promotion (CHERP), Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
- University of Pennsylvania School of Nursing, Philadelphia, PA, USA
| | - Jacob E Robinson
- Center for Health Equity Research and Promotion (CHERP), VA Pittsburgh Healthcare System, Research Office Building #30, University Drive (151C), Pittsburgh, PA, 15240, USA
- Division of Pharmaceutical Outcomes and Policy, University of North Carolina at Chapel Hill Eshelman School of Pharmacy, Chapel Hill, NC, USA
| | - Ryan P Hickson
- Center for Health Equity Research and Promotion (CHERP), VA Pittsburgh Healthcare System, Research Office Building #30, University Drive (151C), Pittsburgh, PA, 15240, USA
- Geriatric Research, Education, and Clinical Center (GRECC), Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA, USA
| | - Dawn Smith
- Veteran Experience Center, Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA
- Center for Health Equity Research and Promotion (CHERP), Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
| | - John Cashy
- Center for Health Equity Research and Promotion (CHERP), VA Pittsburgh Healthcare System, Research Office Building #30, University Drive (151C), Pittsburgh, PA, 15240, USA
- Veteran Experience Center, Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA
| | - Florentina E Sileanu
- Center for Health Equity Research and Promotion (CHERP), VA Pittsburgh Healthcare System, Research Office Building #30, University Drive (151C), Pittsburgh, PA, 15240, USA
| | - Carolyn T Thorpe
- Center for Health Equity Research and Promotion (CHERP), VA Pittsburgh Healthcare System, Research Office Building #30, University Drive (151C), Pittsburgh, PA, 15240, USA
- Division of Pharmaceutical Outcomes and Policy, University of North Carolina at Chapel Hill Eshelman School of Pharmacy, Chapel Hill, NC, USA
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8
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ElSayed NA, Aleppo G, Bannuru RR, Bruemmer D, Collins BS, Ekhlaspour L, Hilliard ME, Johnson EL, Khunti K, Lingvay I, Matfin G, McCoy RG, Perry ML, Pilla SJ, Polsky S, Prahalad P, Pratley RE, Segal AR, Seley JJ, Stanton RC, Gabbay RA. 13. Older Adults: Standards of Care in Diabetes-2024. Diabetes Care 2024; 47:S244-S257. [PMID: 38078580 PMCID: PMC10725804 DOI: 10.2337/dc24-s013] [Citation(s) in RCA: 59] [Impact Index Per Article: 59.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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Fløde M, Hermann M, Haugstvedt A, Søfteland E, Igland J, Åsberg A, Jenssen TG, Graue M. High number of hypoglycaemic episodes identified by CGM among home-dwelling older people with diabetes: an observational study in Norway. BMC Endocr Disord 2023; 23:218. [PMID: 37817166 PMCID: PMC10566065 DOI: 10.1186/s12902-023-01472-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Accepted: 09/28/2023] [Indexed: 10/12/2023] Open
Abstract
BACKGROUND A scoping review from 2021 identified a lack of studies on the incidence, prevention and management of hypoglycaemia in home-dwelling older people with diabetes. The aim of this study was to investigate the frequency and duration of hypoglycaemic episodes measured by continuous glucose monitoring (CGM) in older people with diabetes who received home care and who were treated with glucose-lowering medications, and to compare the frequency and duration of hypoglycaemic episodes between subgroups of the study population according to demographic and clinical variables. METHODS This was an observational study investigating the occurrence of hypoglycaemia in people with diabetes aged ≥ 65 years. Data were collected using blinded continuous glucose monitoring (CGM, iPro2) for 5 consecutive days. Frequency and duration of hypoglycaemic episodes were assessed using a sensor glucose cut-off value of 3.9 mmol/L. A blood sample for measurement of HbA1c and creatinine-based eGFR (CKD-EPI) was obtained during the monitoring period. Demographic and clinical data were collected from electronic patient records. RESULTS Fifty-six individuals were enrolled (median age 82 years and 52% were men). Of the 36 participants who were treated with insulin, 33% had at least one hypoglycaemic episode during the five-day period. Among 18 participants who neither used insulin nor sulfonylurea, but other glucose-lowering medications, 44% had at least one hypoglycaemicepisode. Of those with hypoglycaemic episodes, 86% lived alone. The median duration of the hypoglycaemia was 1 h and 25 min, ranging from 15 min to 8 h and 50 min. CONCLUSION This study identified an unacceptably high number of unknown hypoglycaemic episodes among older home-dwelling people with diabetes receiving home care, even among those not using insulin or sulfonylurea. The study provides essential knowledge that can serve as a foundation to improve the treatment and care for this vulnerable patient group. The routines for glucose monitoring and other prevention tasks need to be considered more comprehensively, also, among those treated with glucose-lowering medications other than insulin.
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Affiliation(s)
- Mari Fløde
- Department of Health and Caring Sciences, Western Norway University of Applied Sciences, Bergen, Norway
| | - Monica Hermann
- Department of Health and Caring Sciences, Western Norway University of Applied Sciences, Bergen, Norway
| | - Anne Haugstvedt
- Department of Health and Caring Sciences, Western Norway University of Applied Sciences, Bergen, Norway
| | - Eirik Søfteland
- Department of Medicine, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Science, Faculty of Medicine, University of Bergen, Bergen, Norway
| | - Jannicke Igland
- Department of Health and Caring Sciences, Western Norway University of Applied Sciences, Bergen, Norway
- Department of Medicine, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Science, Faculty of Medicine, University of Bergen, Bergen, Norway
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Anders Åsberg
- Department of Transplantation Medicine, Oslo University Hospital, Oslo, Norway
- Department of Pharmacy, Section for Pharmacology and Pharmaceutical Biosciences, University of Oslo, Oslo, Norway
| | - Trond Geir Jenssen
- Department of Transplantation Medicine, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Marit Graue
- Department of Health and Caring Sciences, Western Norway University of Applied Sciences, Bergen, Norway.
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Alexopoulos AS, Crowley MJ, Kahkoska AR. Diabetes Medication Changes in Older Adults With Type 2 Diabetes: Insights Into Physician Factors and Questions Ahead. Diabetes Care 2023; 46:1137-1139. [PMID: 37220268 PMCID: PMC10234739 DOI: 10.2337/dci23-0017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Affiliation(s)
- Anastasia-Stefania Alexopoulos
- Division of Endocrinology, Department of Medicine, Duke University, Durham, NC
- Durham Veterans Affairs Center of Innovation to Accelerate Discovery and Practice Transformation, Durham, NC
| | - Matthew J. Crowley
- Division of Endocrinology, Department of Medicine, Duke University, Durham, NC
- Durham Veterans Affairs Center of Innovation to Accelerate Discovery and Practice Transformation, Durham, NC
| | - Anna R. Kahkoska
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Division of Endocrinology and Metabolism, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Center for Aging and Health, University of North Carolina at Chapel Hill, Chapel Hill, NC
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11
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Abdelhafiz AH, Keegan GL, Sinclair AJ. Metabolic Characteristics of Frail Older People with Diabetes Mellitus-A Systematic Search for Phenotypes. Metabolites 2023; 13:705. [PMID: 37367862 DOI: 10.3390/metabo13060705] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 05/17/2023] [Accepted: 05/24/2023] [Indexed: 06/28/2023] Open
Abstract
Frailty in older people with diabetes is viewed as one homogeneous category. We previously suggested that frailty is not homogeneous and spans across a metabolic spectrum that starts with an anorexic malnourished (AM) frail phenotype and ends with a sarcopenic obese (SO) phenotype. We aimed to investigate the metabolic characteristics of frail older people with diabetes reported in the current literature to explore whether they fit into two distinctive metabolic phenotypes. We performed systematic review of studies published over the last 10 years and reported characteristics of frail older people with diabetes mellitus. A total of 25 studies were included in this systematic review. Fifteen studies reported frail patients' characteristics that could fit into an AM phenotype. This phenotype is characterised by low body weight, increased prevalence of malnutrition markers such as low serum albumin, low serum cholesterol, low Hb, low HbA1c, and increased risk of hypoglycaemia. Ten studies reported frail patients' characteristics that describe a SO phenotype. This phenotype is characterised by increased body weight, increased serum cholesterol, high HbA1c, and increased blood glucose levels. Due to significant weight loss in the AM phenotype, insulin resistance decreases, leading to a decelerated diabetes trajectory and reduced hypoglycaemic agent use or deintensification of therapy. On the other hand, in the SO phenotype, insulin resistance increases leading to accelerated diabetes trajectory and increased hypoglycaemic agent use or intensification of therapy. Current literature suggests that frailty is a metabolically heterogeneous condition that includes AM and SO phenotypes. Both phenotypes have metabolically distinctive features, which will have a different effect on diabetes trajectory. Therefore, clinical decision-making and future clinical studies should consider the metabolic heterogeneity of frailty.
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Affiliation(s)
- Ahmed H Abdelhafiz
- Department of Geriatric Medicine, Rotherham General Hospital, Moorgate Road, Rotherham S60 2UD, UK
| | - Grace L Keegan
- Department of Geriatric Medicine, Rotherham General Hospital, Moorgate Road, Rotherham S60 2UD, UK
| | - Alan J Sinclair
- Foundation for Diabetes Research in Older People, Diabetes Frail Ltd., Droitwich Spa WR9 0QH, UK
- King's College, London WC2R 2LS, UK
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12
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ElSayed NA, Aleppo G, Aroda VR, Bannuru RR, Brown FM, Bruemmer D, Collins BS, Hilliard ME, Isaacs D, Johnson EL, Kahan S, Khunti K, Leon J, Lyons SK, Perry ML, Prahalad P, Pratley RE, Jeffrie Seley J, Stanton RC, Gabbay RA, on behalf of the American Diabetes Association. 13. Older Adults: Standards of Care in Diabetes-2023. Diabetes Care 2023; 46:S216-S229. [PMID: 36507638 PMCID: PMC9810468 DOI: 10.2337/dc23-s013] [Citation(s) in RCA: 106] [Impact Index Per Article: 53.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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13
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Gudi SK, Bugden S, Singer A, Falk J. Potential Overtreatment and Overtesting Among Older Adults With Type 2 Diabetes Across Canada: An Observational, Retrospective Cohort Study. Can J Diabetes 2022; 46:643-648. [PMID: 35933318 DOI: 10.1016/j.jcjd.2022.02.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 12/23/2021] [Accepted: 02/24/2022] [Indexed: 11/26/2022]
Abstract
OBJECTIVE Our aim in this study was to assess potential overtreatment and overtesting among older adults with type 2 diabetes across Canada. METHODS An observational, population-based cohort study was conducted using data available through the Canadian Primary Care Sentinel Surveillance Network. All patients included in the study were seen by a primary care provider between 2010 and 2017, ≥65 years of age with type 2 diabetes and had at least one glycated hemoglobin (A1C) measurement. Potential overtreatment was defined as an index A1C of <7% and being prescribed antidiabetes medications other than metformin within 1 year of the index A1C. Testing ≥3 times/year in patients with A1C <7% was considered potential overtesting. Analyses were performed/compared within 2 cross-sectional cohorts (2012 and 2016). A subcohort analysis was performed on those with advanced age and dementia. RESULTS An overall cohort of 41,032 patients (mean age, 76.6 years) was identified. Proportions of potential overtreatment were 7.0% (2012) and 6.9% (2016) (difference in rate in %: 0.1; 95% confidence interval [CI], -0.32 to 0.52]). Overall, 19.2% (2012) and 19.0% (2016) of patients were potentially overtested (difference in rate in %: 0.2; 95% CI, -0.45 to 0.85), whereas 2.4% (2012) and 2.3% (2016) were potentially undertested (difference in rate in %: 0.1; 95% CI, -0.15 to 0.35). Among patients with dementia and advanced age, proportions of patients potentially overtreated were 14.5% and 12.1%, and those overtested were 29.2% and 25.0% in 2012 and 2016, respectively. CONCLUSIONS Potential overtreatment and overtesting exists among older adults with diabetes in Canadian primary care practices with minimal change over time. Higher proportions of potentially unnecessary care were observed in those with advanced age and dementia. Our study highlights an opportunity for primary care clinicians to improve testing and treatment practices considering the individual patient, context and potential for net benefit.
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Affiliation(s)
- Sai Krishna Gudi
- College of Pharmacy, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Shawn Bugden
- School of Pharmacy, Memorial University of Newfoundland, Health Sciences Centre, St. John's, Newfoundland and Labrador, Canada
| | - Alexander Singer
- Department of Family Medicine, Max Rady College of Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Jamie Falk
- College of Pharmacy, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada.
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14
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Langerman C, Forbes A, Robert G. The experiences of insulin use among older people with Type 2 diabetes mellitus: A thematic synthesis. Prim Care Diabetes 2022; 16:614-626. [PMID: 36089508 DOI: 10.1016/j.pcd.2022.08.008] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2022] [Revised: 08/17/2022] [Accepted: 08/22/2022] [Indexed: 02/08/2023]
Abstract
BACKGROUND Type 2 diabetes mellitus is common in older people. Managing diabetes in older people can be challenging due to comorbidities and age-related disabilities, particularly in the context of insulin therapy. The purpose of this review is to explore older people's experiences of insulin use and to consider how these experiences might inform healthcare delivery. REVIEW METHODS A systematic review with thematic synthesis was conducted and reported in accordance with the PRISMA and ENTREQ statements. MEDLINE, Embase, PsycInfo, CINAHL and Web of Science were searched from 1985 to September 2019 with subsequent updates in December 2019 and June 2022. Included studies were quality appraised, findings tabulated, and results used to inform an integrated thematic synthesis. RESULTS Fourteen studies that reported insulin experiences with 274 patients aged 60 years and over were included; nine of the studies were qualitative and five used questionnaires surveys. Seven themes emerged that were grouped into treatment-related factors (physical impact of insulin, physical capacity to administer insulin, insulin self-management behaviours) and person-centred factors (emotional factors, social factors, daily living, and personal knowledge/beliefs). Three analytical themes to guide clinical practice were derived from the data: addressing physical capacity and ability, supporting social and emotional issues and improving interactions with healthcare professionals. CONCLUSION The review indicates issues surrounding the technical aspects of insulin administration, side effects of treatment and reactions to insulin administration are common amongst older people. However, research evidence is limited, and there is an urgent need for empirical, participatory research with older insulin dependent adults with type 2 diabetes. IMPLICATIONS FOR PRACTICE Healthcare professionals need to ensure that older type 2 diabetes people on insulin are actively involved in their own care, to allow their insulin regimens to be personalised and aligned with their goals and expectations. Tailored educational interventions to reduce treatment hazards and promote physical and psychological wellbeing are also needed for this population.
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Affiliation(s)
- Chaya Langerman
- Florence Nightingale Faculty of Nursing, Midwifery and Palliative Care, King's College London, James Clerk Maxwell Building, 57 Waterloo Road, London SE1 8WA, United Kingdom.
| | - Angus Forbes
- Florence Nightingale Faculty of Nursing, Midwifery and Palliative Care, King's College London, James Clerk Maxwell Building, 57 Waterloo Road, London SE1 8WA, United Kingdom
| | - Glenn Robert
- Florence Nightingale Faculty of Nursing, Midwifery and Palliative Care, King's College London, James Clerk Maxwell Building, 57 Waterloo Road, London SE1 8WA, United Kingdom
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15
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Bellia C, Lombardo M, Meloni M, Della-Morte D, Bellia A, Lauro D. Diabetes and cognitive decline. Adv Clin Chem 2022; 108:37-71. [PMID: 35659061 DOI: 10.1016/bs.acc.2021.07.006] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Epidemiologic studies have documented an association between diabetes and increased risk of cognitive decline in the elderly. Based on animal model studies, several mechanisms have been proposed to explain such an association, including central insulin signaling, neurodegeneration, brain amyloidosis, and neuroinflammation. Nevertheless, the exact mechanisms in humans remain poorly defined. It is reasonable, however, that many pathways may be involved in these patients leading to cognitive impairment. A major aim of clinicians is identifying early onset of neurologic signs and symptoms in elderly diabetics to improve quality of life of those with cognitive impairment and reduce costs associated with long-term complications. Several biomarkers have been proposed to identify diabetics at higher risk of developing dementia and diagnose early stage dementia. Although biomarkers of brain amyloidosis, neurodegeneration and synaptic plasticity are commonly used to diagnose dementia, especially Alzheimer disease, their role in diabetes remains unclear. The aim of this review is to explore the molecular mechanisms linking diabetes with cognitive decline and present the most important findings on the clinical use of biomarkers for diagnosing and predicting early cognitive decline in diabetics.
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Affiliation(s)
- Chiara Bellia
- Department of Biomedicine, Neurosciences, and Advanced Diagnostics, University of Palermo, Palermo, Italy.
| | - Mauro Lombardo
- Department of Human Sciences and Quality of Life Promotion, San Raffaele Open University, Rome, Italy
| | - Marco Meloni
- Department of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy
| | - David Della-Morte
- Department of Human Sciences and Quality of Life Promotion, San Raffaele Open University, Rome, Italy; Department of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy; Department of Neurology and Evelyn F. McKnight Brain Institute, Miller School of Medicine, University of Miami, Miami, FL, United States
| | - Alfonso Bellia
- Department of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy
| | - Davide Lauro
- Department of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy
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16
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Lega IC, Rochon PA. Diabetes treatment deintensification in nursing homes: When less is more. J Am Geriatr Soc 2022; 70:1946-1949. [PMID: 35587266 DOI: 10.1111/jgs.17832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 04/20/2022] [Indexed: 11/28/2022]
Affiliation(s)
- Iliana C Lega
- Department of Medicine, Division of Endocrinology, University of Toronto, Toronto, Canada.,Women's Age Lab, Women's College Hospital, Toronto, Canada.,Women's College Research Institute, Toronto, Canada.,ICES, Toronto, Canada
| | - Paula A Rochon
- Women's Age Lab, Women's College Hospital, Toronto, Canada.,Department of Medicine, Division of Geriatric Medicine, University of Toronto, Toronto, Canada
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17
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Le P, Ayers G, Misra-Hebert AD, Herzig SJ, Herman WH, Shaker VA, Rothberg MB. Adherence to the American Diabetes Association's Glycemic Goals in the Treatment of Diabetes Among Older Americans, 2001-2018. Diabetes Care 2022; 45:1107-1115. [PMID: 35076695 DOI: 10.2337/dc21-1507] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Accepted: 01/01/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To assess trends in HbA1c and appropriateness of diabetes medication use by patient health status. RESEARCH DESIGN AND METHODS We conducted cross-sectional analysis of 2001-2018 National Health and Nutrition Examination Survey (NHANES). We included older adults age ≥65 years who had ever been told they had diabetes, had HbA1c >6.4%, or had fasting plasma glucose >125 mg/dL. Health status was categorized as good, intermediate, or poor. Being below goal was defined as taking medication despite having HbA1c ≥1% below the glycemic goals of the American Diabetes Association (ADA), which varied by patient health status and time period. Drugs associated with hypoglycemia included sulfonylureas, insulin, and meglitinides. RESULTS We included 3,539 patients. Mean HbA1c increased over time and did not differ by health status. Medication use increased from 59% to 74% with metformin being the most common drug in patients with good or intermediate health and sulfonylureas and insulin most often prescribed to patients with poor health. Among patients taking medications, prevalence of patients below goal increased while prevalence of those above goal decreased from 2001 to 2018. One-half of patients with poor health and taking medications had below-goal HbA1c; two-thirds received drugs associated with hypoglycemia. Patients with poor health who were below goal had 4.9 (95% CI 2.3-10.4) times the adjusted odds of receiving drugs associated with hypoglycemia than healthy patients. CONCLUSIONS In accordance with ADA's newer Standards of Medical Care in Diabetes, HbA1c goals were relaxed but did not differ by health status. Below-goal HbA1c was common among patients with poor health; many were prescribed medications associated with a higher risk of hypoglycemia.
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Affiliation(s)
- Phuc Le
- Center for Value-Based Care Research, Cleveland Clinic, Cleveland, OH
| | - Gina Ayers
- Department of Pharmacy and Center for Geriatric Medicine, Cleveland Clinic, Cleveland, OH
| | - Anita D Misra-Hebert
- Center for Value-Based Care Research, Cleveland Clinic, Cleveland, OH.,Healthcare Delivery and Implementation Science Center, Cleveland Clinic, Cleveland, OH
| | - Shoshana J Herzig
- Division of General Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - William H Herman
- University of Michigan School of Public Health, Ann Arbor, MI.,University of Michigan Medical School, Ann Arbor, MI
| | - Victoria A Shaker
- Center for Value-Based Care Research, Cleveland Clinic, Cleveland, OH
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18
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Wang K, Alan J, Page A, Percival M, Etherton‐Beer C. Medication use to manage comorbidities in people with dementia: a systematic review. JOURNAL OF PHARMACY PRACTICE AND RESEARCH 2022. [DOI: 10.1002/jppr.1802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Kate Wang
- School of Health and Biomedical Sciences Royal Melbourne Institute of Technology Melbourne Australia
- Pharmacy Department Alfred Health Melbourne Australia
| | - Janine Alan
- Centre for Research in Aged Care Edith Cowan University Joondalup Australia
| | - Amy Page
- Pharmacy Department Alfred Health Melbourne Australia
- Centre for Medicine Use and Safety Monash University Parkville Australia
| | - Mia Percival
- Pharmacy Department Alfred Health Melbourne Australia
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19
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Initiating second-line antidiabetic medication among older adults with type 2 diabetes on Metformin. BMC Geriatr 2022; 22:97. [PMID: 35114955 PMCID: PMC8815155 DOI: 10.1186/s12877-022-02792-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 01/24/2022] [Indexed: 11/12/2022] Open
Abstract
Background Antidiabetic medications (ADM), especially sulfonylureas (SFU) and basal insulin (BI), are associated with increased risk of hypoglycemia, which is especially concerning among older adults in poor health. The objective of this study was to investigate prescribing patterns of ADM in older adults according to their health status. Methods This case control study analyzed administrative claims between 2013 and 2017 from a large national payer. The study population was derived from a nationwide database of 84,720 U.S. adults aged ≥65, who were enrolled in Medicare Advantage health insurance plans. Participants had type 2 diabetes on metformin monotherapy, and started a second-line ADM during the study period. The exposure was a binary variable for health status, with poor health defined by end-stage medical conditions, dementia, or residence in a long-term nursing facility. The outcome was a variable identifying which second-line ADM class was started, categorized as SFU, BI, or other (i.e. all other ADM classes combined). Results Over half of participants (54%) received SFU as initial second-line ADM, 14% received BI, and 32% received another ADM. In multivariable models, the odds of filling SFU or BI was higher for participants in poor health than those in good or intermediate health [OR 1.13 (95% CI 1.05-1.21) and OR 2.34 (95% CI 2.14-2.55), respectively]. SFU and BI were also more commonly filled by older adults with poor glycemic control. Conclusions Despite clinical consensus to use caution prescribing SFU and BI among older adults in poor health, these medications remain frequently used in this particularly vulnerable population.
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20
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Chen NC, Chen CL, Shen FC. The Risk Factors of Severe Hypoglycemia in Older Patients with Dementia and Type 2 Diabetes Mellitus. J Pers Med 2022; 12:67. [PMID: 35055382 PMCID: PMC8779381 DOI: 10.3390/jpm12010067] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Revised: 12/29/2021] [Accepted: 01/05/2022] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND The adequate glycemic control and risk factors for hypoglycemia in older patients with dementia and type 2 diabetes mellitus (T2DM) remain unclear. This study aimed to analyze the status of glycemic control and determine the risk of hypoglycemia among these groups. METHODS A hospital admission record due to hypoglycemia through an emergency room with glucose supplementation in the Chang Gung Memorial Hospital was identified as a hypoglycemic event. Patients with dementia and T2DM without hypoglycemic events throughout the study period were defined as the control group. We gathered patients aged ≥65 years with a diagnosis of Alzheimer's dementia (AD) and T2DM between 2001 and 2018 in the Chang Gung Research Database (CGRD). We extracted data included medication use, diagnoses, and biochemistry data from hospital records. RESULTS A total of 3877 older patients with dementia and T2DM with regular visits to the outpatient department were enrolled in this study. During the two-year follow-up period, 494 participants (12.7%) experienced hypoglycemia. Multivariable logistic multivariable regression models for hypoglycemic events showed that metformin had a protective effect (odds ratio (OR) = 0.75, p = 0.023), insulin had the highest risk (OR = 4.64, p < 0.001). Hemoglobin A1c (HbA1c) levels were not correlated with hypoglycemic events (OR = 0.95, p = 0.140). Patients with hypoglycemic episodes had a significantly higher proportion of ≥2 Charlson Comorbidity Index scores than those without hypoglycemic episodes (83.2% versus 56.4%, p < 0.001). CONCLUSIONS Drug regimen affects hypoglycemic episodes but not HbA1c in older patients with dementia and T2DM. In addition, patients with more comorbidities experience an increased risk of hypoglycemia.
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Affiliation(s)
- Nai-Ching Chen
- Department of Neurology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 833, Taiwan;
| | - Chien-Liang Chen
- Department of Medical Education and Research, Kaohsiung Veterans General Hospital, Kaohsiung 813, Taiwan;
- Division of Nephrology, Kaohsiung Veterans General Hospital, Kaohsiung 813, Taiwan
- Department of Medicine, School of Medicine, National Yang-Ming University, Taipei 112, Taiwan
| | - Feng-Chih Shen
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 833, Taiwan
- Center for Mitochondrial Research and Medicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung 833, Taiwan
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21
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Callahan KE, Lenoir KM, Usoh CO, Williamson JD, Brown LY, Moses AW, Hinely M, Neuwirth Z, Pajewski NM. Using an Electronic Health Record and Deficit Accumulation to Pragmatically Identify Candidates for Optimal Prescribing in Patients With Type 2 Diabetes. Diabetes Spectr 2022; 35:344-350. [PMID: 36082014 PMCID: PMC9396712 DOI: 10.2337/ds21-0068] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
OBJECTIVE Despite guidelines recommending less stringent glycemic goals for older adults with type 2 diabetes, overtreatment is prevalent. Pragmatic approaches for prioritizing patients for optimal prescribing are lacking. We describe glycemic control and medication patterns for older adults with type 2 diabetes in a contemporary cohort, exploring variability by frailty status. RESEARCH DESIGN AND METHODS This was a cross-sectional observational study based on electronic health record (EHR) data, within an accountable care organization (ACO) affiliated with an academic medical center/health system. Participants were ACO-enrolled adults with type 2 diabetes who were ≥65 years of age as of 1 November 2020. Frailty status was determined by an automated EHR-based frailty index (eFI). Diabetes management was described by the most recent A1C in the past 2 years and use of higher-risk medications (insulin and/or sulfonylurea). RESULTS Among 16,973 older adults with type 2 diabetes (mean age 75.2 years, 9,154 women [53.9%], 77.8% White), 9,134 (53.8%) and 6,218 (36.6%) were classified as pre-frail (0.10 < eFI ≤0.21) or frail (eFI >0.21), respectively. The median A1C level was 6.7% (50 mmol/mol) with an interquartile range of 6.2-7.5%, and 74.1 and 38.3% of patients had an A1C <7.5% (58 mmol/mol) and <6.5% (48 mmol/mol), respectively. Frailty status was not associated with level of glycemic control (P = 0.08). A majority of frail patients had an A1C <7.5% (58 mmol/mol) (n = 4,544, 73.1%), and among these patients, 1,755 (38.6%) were taking insulin and/or a sulfonylurea. CONCLUSION Treatment with insulin and/or a sulfonylurea to an A1C levels <7.5% is common in frail older adults. Tools such as the eFI may offer a scalable approach to targeting optimal prescribing interventions.
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Affiliation(s)
- Kathryn E. Callahan
- Section on Gerontology and Geriatric Medicine, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC
- Center for Health Care Innovation, Wake Forest School of Medicine, Winston-Salem, NC
- Corresponding author: Kathryn E. Callahan,
| | - Kristin M. Lenoir
- Center for Health Care Innovation, Wake Forest School of Medicine, Winston-Salem, NC
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - Chinenye O. Usoh
- Section on Endocrinology and Metabolism, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - Jeff D. Williamson
- Section on Gerontology and Geriatric Medicine, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC
- Center for Health Care Innovation, Wake Forest School of Medicine, Winston-Salem, NC
| | - LaShanda Y. Brown
- Center for Health Care Innovation, Wake Forest School of Medicine, Winston-Salem, NC
| | - Adam W. Moses
- Center for Health Care Innovation, Wake Forest School of Medicine, Winston-Salem, NC
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - Molly Hinely
- Department of Pharmacy, Wake Forest Baptist Health, Winston-Salem, NC
| | | | - Nicholas M. Pajewski
- Center for Health Care Innovation, Wake Forest School of Medicine, Winston-Salem, NC
- Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC
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22
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Fouad Algendy A, Illigens B, Alyazeedi A. Increased Frequency of Severe Hypoglycemia with the Modified-Release Gliclazide Compared to Glimepiride in Diabetic Older Adults; Propensity Score-Adjusted Analysis. Diabetes Metab Syndr Obes 2022; 15:1563-1575. [PMID: 35619798 PMCID: PMC9126741 DOI: 10.2147/dmso.s339331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2021] [Accepted: 11/12/2021] [Indexed: 11/24/2022] Open
Abstract
OBJECTIVE The main aim is to compare the risk of severe hypoglycemia associated with the modified-release (MR) gliclazide against glimepiride in diabetic older adults. METHODS All older adult diabetic patients who attended the emergency department (ED) between the 1st of Aug. 2017 and the end of Mar 2020 on gliclazide MR or glimepiride are included in two cohorts. We compared baseline differences between cohorts in demographics, lab results, diabetes complications, comorbidities, and drugs using the chi-squared test for categorical variables and unpaired t-test for continuous variables. All the baseline variables are used in a logistic regression to produce the propensity scores for receiving gliclazide MR. The primary outcome was Severe Hypoglycemia requiring Emergency Admission (SHEA). We used documented hypoglycemia, falls, fractures, Cardiovascular ED Admission (CVEA), and recurrent ED admissions as secondary outcomes. We used a univariate logistic regression followed by a propensity score-adjusted logistic regression to identify the adjusted odds ratio. We did a subgroup analysis for low and moderate-high doses users. RESULTS We included 2320 patients, 1786 were on gliclazide MR while 534 were on glimepiride. The risk of SHEA (Adjusted Odds Ratio AOR 6.74, p=0.002), falls (AOR 1.43, p=0.003), fractures (AOR 1.43, p=0.01), CVEA (AOR 1.66, p<0.001), recurrent ED admission (AOR 1.39, p=0.002) were significantly higher. At the same time, documented hypoglycemia was insignificantly higher (AOR 1.17, p= 0.444) with gliclazide MR compared to glimepiride. The low doses of both treatments did not show any SHEA cases, while the results with higher doses showed the same pattern of increased risk with gliclazide MR as the principle analysis. CONCLUSION Using gliclazide MR for older patients may not be a relatively safer alternative to avoid severe hypoglycemia and its possible consequences compared to glimepiride. It may be added to glimepiride in the Beers list of medications to be avoided in older adults.
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Affiliation(s)
- Ahmed Fouad Algendy
- Clinical Pharmacy, Geriatric Department, Rumailah Hospital, Hamad Medical Corporation, Doha, Qatar
- Correspondence: Ahmed Fouad Algendy, Pharmacy Department, Rumailah Hospital, Hamad Medical Corporation, PO 3050, Doha, Qatar, Tel +0097470094424, Fax +0097444397600, Email
| | - Ben Illigens
- Dresden International University, Division of Health Care Sciences, Center for Clinical Research and Management Education, Dresden, Germany
| | - Ameena Alyazeedi
- Pharmacy Department, Rumailah Hospital, Hamad Medical Corporation, Doha, Qatar
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23
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Lin CF, Liu HC, Lin SY. Kidney Function and Risk of Physical and Cognitive Impairment in Older Persons with Type 2 Diabetes at an Outpatient Clinic with Geriatric Assessment Implementation. Diabetes Metab Syndr Obes 2022; 15:79-91. [PMID: 35046679 PMCID: PMC8759987 DOI: 10.2147/dmso.s341935] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Accepted: 11/27/2021] [Indexed: 11/23/2022] Open
Abstract
PURPOSE Diabetes is associated with an increased risk of cognitive and physical functional decline that may impede disease self-management. By incorporating cognitive and physical function assessment, this study aimed to evaluate prevalence and factors associated with cognitive and physical dysfunction in older diabetic people. METHODS The cross-sectional study was performed from August 1, 2017 to November 30, 2018. The patients aged 65 years or older with type 2 diabetes mellitus were enrolled and the disease was routinely evaluated by blood hemoglobin A1c (A1C), blood pressure, lipids, and kidney function measured by estimated glomerular filtration rate (eGFR) and urinary albumin-creatinine rate (UACR). Besides, cognitive dysfunction through Mini-mental State Examination (MMSE), and functional disabilities by Activities of Daily Living (ADL) questionnaire were assessed simultaneously. RESULTS Among 863 patients (48.3% men) with a median age of 72.0 years (interquartile range or IQR: 67.0-78.0 years), 159 (18.5%) had cognitive impairment assessed by MMSE, while 40 (4.6%) experienced at least one problem in ADL. With different A1C stratifications, it was shown that both MMSE and ADL scores were associated with glycemic control. Patients with impaired MMSE and ADL scores were older, had lower eGFR, lower blood pressure, and higher UACR levels. After adjustment of possible confounders, it was shown that age and eGFR predicted MMSE and ADL score impairment. CONCLUSION By incorporating physical and cognitive function screening program into routine care at a diabetes outpatient clinic, our study found that both cognitive and physical function impairment were common in older diabetic patients, and their relevant factors, including older age, and lower eGFR. It was recommended that in older individuals with diabetes, particularly those with risk factors, an additional assessment of cognitive and physical functions can be integrated into routine clinical process to provide more comprehensive management plans.
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Affiliation(s)
- Cheng-Fu Lin
- Center for Geriatrics & Gerontology, Taichung Veterans General Hospital, Taichung, 40705, Taiwan
- Division of Occupational Medicine, Department of Emergency, Taichung Veterans General Hospital, Taichung, 40705, Taiwan
| | - Hsiu-Chen Liu
- Department of Nursing, Taichung Veterans General Hospital, Taichung, 40705, Taiwan
| | - Shih-Yi Lin
- Center for Geriatrics & Gerontology, Taichung Veterans General Hospital, Taichung, 40705, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, 11221, Taiwan
- Institute of Clinical Medicine, School of Medicine, National Yang Ming Chiao Tung University, Taipei, 11221, Taiwan
- Correspondence: Shih-Yi Lin Center for Geriatrics & Gerontology, Taichung Veterans General Hospital, 1650 Taiwan Boulevard Sect. 4, Taichung, 40705, TaiwanTel +886-4-2359-2525#3390Fax +886-4-2359-5046 Email
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Abstract
The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee (https://doi.org/10.2337/dc22-SPPC), are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction (https://doi.org/10.2337/dc22-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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Abdelhafiz AH, Peters S, Sinclair AJ. Low glycaemic state increases risk of frailty and functional decline in older people with type 2 diabetes mellitus - Evidence from a systematic review. Diabetes Res Clin Pract 2021; 181:109085. [PMID: 34634389 DOI: 10.1016/j.diabres.2021.109085] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2021] [Revised: 09/18/2021] [Accepted: 09/29/2021] [Indexed: 10/20/2022]
Abstract
AIMS To explore risk of frailty and functional decline associated with low glycaemia in older people with type 2 diabetes. METHODS Systematic review. RESULTS 11 studies included. Six studies investigated risk of frailty or physical decline with hypoglycaemia. Hypoglycaemia increased risk of incident frailty (HR 1.60, 95% CI 1.14 to 2.42) in one study and risk of fractures in four studies (2.24, 1.56 to 3.21, 1.24, 1.13 to 1.37, 1.94, 1.67 to 2.24 and 1.71, 1.35 to 2.16 respectively). In sixth study, hypoglycaemia associated with dependency (P < 0.001). Five studies explored association of low blood glucose/HbA1c with frailty. One study showed that mean blood glucose decreased with increasing frailty (p = 0.003). Two studies reported that HbA1c inversely correlated with clinical frailty scale (r = -0.31, p < 0.01) and HbA1c < 6.9% increased risk of frailty (HR, 1.41 95% CI 1.12 to 1.78) respectively. Last two studies showed that HbA1c < 6.5% associated with risk of any fracture (HR 1.08, 95% CI 1.06 to 1.11) and HbA1c < 6.0% associated with increased risk of care need (3.45, 1.02 to 11.6) respectively. CONCLUSIONS Low glycaemia increases risk of frailty and functional decline in older people with type 2 diabetes. Management should minimise incidence of low glycaemia in these patients.
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Affiliation(s)
- A H Abdelhafiz
- Department of Geriatric Medicine, Rotherham General Hospital, Moorgate Road, Rotherham S60 2UD, United Kingdom
| | - S Peters
- Department of Geriatric Medicine, Rotherham General Hospital, Moorgate Road, Rotherham S60 2UD, United Kingdom
| | - A J Sinclair
- King's College, London, United Kingdom; Foundation for Diabetes Research in Older People (fDROP), Droitwich Spa WR9 0QH, UK.
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Crutzen S, Belur Nagaraj S, Taxis K, Denig P. Identifying patients at increased risk of hypoglycaemia in primary care: Development of a machine learning-based screening tool. Diabetes Metab Res Rev 2021; 37:e3426. [PMID: 33289318 PMCID: PMC8518928 DOI: 10.1002/dmrr.3426] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Revised: 11/05/2020] [Accepted: 11/23/2020] [Indexed: 12/12/2022]
Abstract
INTRODUCTION In primary care, identifying patients with type 2 diabetes (T2D) who are at increased risk of hypoglycaemia is important for the prevention of hypoglycaemic events. We aimed to develop a screening tool based on machine learning to identify such patients using routinely available demographic and medication data. METHODS We used a cohort study design and the Groningen Initiative to ANalyse Type 2 diabetes Treatment (GIANTT) medical record database to develop models for hypoglycaemia risk. The first hypoglycaemic event in the observation period (2007-2013) was the outcome. Demographic and medication data were used as predictor variables to train machine learning models. The performance of the models was compared with a model using additional clinical data using fivefold cross validation with the area under the receiver operator characteristic curve (AUC) as a metric. RESULTS We included 13,876 T2D patients. The best performing model including only demographic and medication data was logistic regression with least absolute shrinkage and selection operator, with an AUC of 0.71. Ten variables were included (odds ratio): male gender (0.997), age (0.990), total drug count (1.012), glucose-lowering drug count (1.039), sulfonylurea use (1.62), insulin use (1.769), pre-mixed insulin use (1.109), insulin count (1.827), insulin duration (1.193), and antidepressant use (1.05). The proposed model obtained a similar performance to the model using additional clinical data. CONCLUSION Using demographic and medication data, a model for identifying patients at increased risk of hypoglycaemia was developed using machine learning. This model can be used as a tool in primary care to screen for patients with T2D who may need additional attention to prevent or reduce hypoglycaemic events.
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Affiliation(s)
- Stijn Crutzen
- Department of Clinical Pharmacy and PharmacologyUniversity Medical Center GroningenUniversity of GroningenGroningenThe Netherlands
| | - Sunil Belur Nagaraj
- Department of Clinical Pharmacy and PharmacologyUniversity Medical Center GroningenUniversity of GroningenGroningenThe Netherlands
| | - Katja Taxis
- Unit of Pharmaco Therapy, Epidemiology and EconomicsGroningen Research Institute of PharmacyUniversity of GroningenGroningenThe Netherlands
| | - Petra Denig
- Department of Clinical Pharmacy and PharmacologyUniversity Medical Center GroningenUniversity of GroningenGroningenThe Netherlands
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Rooney MR, Tang O, Echouffo Tcheugui JB, Lutsey PL, Grams ME, Windham BG, Selvin E. American Diabetes Association Framework for Glycemic Control in Older Adults: Implications for Risk of Hospitalization and Mortality. Diabetes Care 2021; 44:1524-1531. [PMID: 34006566 PMCID: PMC8323179 DOI: 10.2337/dc20-3045] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Accepted: 03/29/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVE The 2021 American Diabetes Association (ADA) guidelines recommend different A1C targets in older adults that are based on comorbid health status. We assessed risk of mortality and hospitalizations in older adults with diabetes across glycemic control (A1C <7%, 7 to <8%, ≥8%) and ADA-defined health status (healthy, complex/intermediate, very complex/poor) categories. RESEARCH DESIGN AND METHODS Prospective cohort analysis of older adults aged 66-90 years with diagnosed diabetes in the Atherosclerosis Risk in Communities (ARIC) study. RESULTS Of the 1,841 participants (56% women, 29% Black), 32% were classified as healthy, 42% as complex/intermediate, and 27% as very complex/poor health. Over a median 6-year follow-up, there were 409 (22%) deaths and 4,130 hospitalizations (median [25th-75th percentile] 1 per person [0-3]). In the very complex/poor category, individuals with A1C ≥8% (vs. <7%) had higher mortality risk (hazard ratio 1.76 [95% CI 1.15-2.71]), even after adjustment for glucose-lowering medication use. Within the very complex/poor health category, individuals with A1C ≥8% (vs. <7%) had more hospitalizations (incidence rate ratio [IRR] 1.41 [95% CI 1.03-1.94]). In the complex/intermediate group, individuals with A1C ≥8% (vs. <7%) had more hospitalizations, even with adjustment for glucose-lowering medication use (IRR 1.64 [1.21-2.24]). Results were similar, but imprecise, when the analysis was restricted to insulin or sulfonylurea users (n = 663). CONCLUSIONS There were substantial differences in mortality and hospitalizations across ADA health status categories, but older adults with A1C <7% were not at elevated risk, regardless of health status. Our results support the 2021 ADA guidelines and indicate that <7% is a reasonable treatment goal in some older adults with diabetes.
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Affiliation(s)
- Mary R Rooney
- Department of Epidemiology and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD
| | - Olive Tang
- Department of Epidemiology and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD
| | - Justin B Echouffo Tcheugui
- Department of Epidemiology and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD
- Division of Endocrinology, Diabetes and Metabolism, Johns Hopkins University, Baltimore, MD
| | - Pamela L Lutsey
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN
| | - Morgan E Grams
- Department of Epidemiology and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD
- Department of Medicine, Johns Hopkins University, Baltimore, MD
| | - B Gwen Windham
- Division of Geriatrics, Department of Medicine, University of Mississippi Medical Center, Jackson, MS
| | - Elizabeth Selvin
- Department of Epidemiology and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD
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Secnik J, Xu H, Schwertner E, Hammar N, Alvarsson M, Winblad B, Eriksdotter M, Garcia-Ptacek S, Religa D. Dementia Diagnosis Is Associated with Changes in Antidiabetic Drug Prescription: An Open-Cohort Study of ∼130,000 Swedish Subjects over 14 Years. J Alzheimers Dis 2021; 76:1581-1594. [PMID: 32741836 PMCID: PMC7504989 DOI: 10.3233/jad-200618] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
BACKGROUND Care individualization dominates in clinical guidelines for cognitively impaired patients with diabetes; however, few studies examined such adaptations. OBJECTIVE Describe long-term pharmacological changes in diabetes treatment in subjects with and without dementia. METHODS We performed a registry-based cohort study on 133,318 Swedish subjects (12,284 [9.2%] with dementia) with type 2 or other/unspecified diabetes. Dementia status originated from the Swedish Dementia Registry, while the National Patient Register, Prescribed Drug Register, and Cause of Death Register provided data on diabetes, comorbidities, drug dispensation, and mortality. Drug dispensation interval comprised years between 2005 and 2018 and the dispensation was assessed relative to index date (dementia diagnosis) in full cohort and propensity-score (PS) matched cohorts. Annual changes of drug dispensation were analyzed by linear regression, while Cox and competing-risk regression were used to determine the probability of drug dispensation after index date in naïve subjects. Studied medications included insulin, metformin, sulfonylureas, thiazolidinediones, dipeptidyl-peptidase-4 inhibitors (DPP-4i), glucagon-like peptide-1 agonists (GLP-1a), and sodium-glucose cotransporter-2 inhibitors (SGLT-2i). RESULTS Dementia patients had higher probability of insulin dispensation (hazard ratio 1.21 [95% CI 1.11-1.31] and lower probability of DPP-4i (0.72 [0.66-0.79]), GLP-1a (0.51 [0.41-0.63]), and SGLT-2i dispensation (0.44 [0.36-0.54]) after index date. PS-matched analyses showed increased annual insulin dispensation (β difference 0.97%) and lower increase in DPP-4i (-0.58%), GLP-1a (-0.13%), and SGLT-2i (-0.21%) dispensation in dementia patients compared to dementia-free controls. CONCLUSION Dementia patients had lower probability of receiving newer antidiabetic drugs, with simultaneous higher insulin dispensation compared to dementia-free subjects.
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Affiliation(s)
- Juraj Secnik
- Department of Neurobiology, Center for Alzheimer Research, Division of Clinical Geriatrics, Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden
| | - Hong Xu
- Department of Neurobiology, Center for Alzheimer Research, Division of Clinical Geriatrics, Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden.,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Emilia Schwertner
- Department of Neurobiology, Center for Alzheimer Research, Division of Clinical Geriatrics, Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden
| | - Niklas Hammar
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Michael Alvarsson
- Department of Molecular Medicine and Surgery, Growth and Metabolism, Karolinska Institutet, Stockholm, Sweden
| | - Bengt Winblad
- Department of Neurobiology, Center for Alzheimer Research, Division of Neurogeriatrics, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.,Theme Aging, Karolinska University Hospital, Huddinge, Sweden
| | - Maria Eriksdotter
- Department of Neurobiology, Center for Alzheimer Research, Division of Clinical Geriatrics, Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden.,Theme Aging, Karolinska University Hospital, Huddinge, Sweden
| | - Sara Garcia-Ptacek
- Department of Neurobiology, Center for Alzheimer Research, Division of Clinical Geriatrics, Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden.,Department of Internal Medicine, Södersjukhuset, Section for Neurology, Stockholm, Sweden
| | - Dorota Religa
- Department of Neurobiology, Center for Alzheimer Research, Division of Clinical Geriatrics, Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden.,Theme Aging, Karolinska University Hospital, Huddinge, Sweden
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Katsiki N, Kotsa K, Stoian AP, Mikhailidis DP. Hypoglycaemia and Cardiovascular Disease Risk in Patients with Diabetes. Curr Pharm Des 2021; 26:5637-5649. [PMID: 32912117 DOI: 10.2174/1381612826666200909142658] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Accepted: 08/09/2020] [Indexed: 12/12/2022]
Abstract
Hypoglycaemia represents an important side effect of insulin therapy and insulin secretagogues. It can occur in both type 1 and type 2 diabetes mellitus patients. Also, some associations between hypoglycaemia and cardiovascular (CV) risk have been reported. Several mechanisms may be involved, including the sympathoadrenal system, hypokalaemia, endothelial dysfunction, coagulation, platelets, inflammation, atherothrombosis and impaired autonomic cardiac reflexes. This narrative review discusses the associations of hypoglycaemia with CV diseases, including coronary heart disease (CHD), cardiac arrhythmias, stroke, carotid disease and peripheral artery disease (PAD), as well as with dementia. Severe hypoglycaemia has been related to CHD, CV and all-cause mortality. Furthermore, there is evidence supporting an association between hypoglycaemia and cardiac arrhythmias, potentially predisposing to sudden death. The data linking hypoglycaemia with stroke, carotid disease and PAD is limited. Several factors may affect the hypoglycaemia-CV relationships, such as the definition of hypoglycaemia, patient characteristics, co-morbidities (including chronic kidney disease) and antidiabetic drug therapy. However, the association between hypoglycaemia and dementia is bilateral. Both the disorders are more common in the elderly; thus, glycaemic goals should be carefully selected in older patients. Further research is needed to elucidate the impact of hypoglycaemia on CV disease.
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Affiliation(s)
- Niki Katsiki
- Division of Endocrinology and Metabolism, Diabetes Center, First Department of Internal Medicine, Medical School, Aristotle University of Thessaloniki, AHEPA University Hospital, Thessaloniki, Greece
| | - Kalliopi Kotsa
- Division of Endocrinology and Metabolism, Diabetes Center, First Department of Internal Medicine, Medical School, Aristotle University of Thessaloniki, AHEPA University Hospital, Thessaloniki, Greece
| | - Anca P Stoian
- Diabetes, Nutrition and Metabolic diseases Department, "Carol Davila" University of Medicine and Pharmacy, Bucharest, Romania
| | - Dimitri P Mikhailidis
- Department of Clinical Biochemistry, Royal Free Hospital Campus, University College London Medical School, University College London (UCL), London, United Kingdom
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30
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Ling S, Zaccardi F, Lawson C, Seidu SI, Davies MJ, Khunti K. Glucose Control, Sulfonylureas, and Insulin Treatment in Elderly People With Type 2 Diabetes and Risk of Severe Hypoglycemia and Death: An Observational Study. Diabetes Care 2021; 44:915-924. [PMID: 33541857 DOI: 10.2337/dc20-0876] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2020] [Accepted: 01/10/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To estimate the relative and absolute risk of severe hypoglycemia and mortality associated with glucose control, sulfonylureas, and insulin treatment in elderly people with type 2 diabetes. RESEARCH DESIGN AND METHODS We identified elderly subjects (≥70 years old) with type 2 diabetes between 2000 and 2017 in the U.K. Clinical Practice Research Datalink primary care database with linkage to hospitalization and death data. Subjects with three consecutive HbA1c values <7% (53 mmol/mol) while on insulin and/or sulfonylureas within 60 days prior to the third HbA1c value (exposed) were matched with subjects not exposed. Hazard ratios (HRs) and absolute risks were estimated for hospitalizations for severe hypoglycemia and cardiovascular and noncardiovascular-related mortality. RESULTS Among 22,857 included subjects (6,288 [27.5%] exposed, of whom 5,659 [90.0%] were on a sulfonylurea), 10,878 (47.6%) deaths and 1,392 (6.1%) severe hypoglycemic episodes occurred during the follow-up. In comparison with nonexposed subjects, the adjusted HR in exposed subjects was 2.52 (95% CI 2.23, 2.84) for severe hypoglycemia, 0.98 (0.91, 1.06) for cardiovascular mortality, and 1.05 (0.99, 1.11) for noncardiovascular mortality. In a 70-, 75-, 80-, and 85-year-old subject, the 10-year risk of severe hypoglycemia was 7.7%, 8.1%, 8.6%, and 8.4% higher than in nonexposed subjects, while differences for noncardiovascular mortality ranged from 1.2% (95% CI -0.1, 2.5) in a 70-year-old to 1.6% (-0.2, 3.4) in an 85-year-old subject. Sulfonylurea and insulin use were more relevant predictors of severe hypoglycemia and death than were glucose levels. CONCLUSIONS Elderly subjects with type 2 diabetes and low HbA1c on sulfonylurea or insulin treatment experienced a substantially higher risk of hospitalization for severe hypoglycemia but had no clear evidence of increased risks of mortality.
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Affiliation(s)
- Suping Ling
- Leicester Diabetes Research Centre, University Hospital Leicester, Leicester General Hospital, Leicester, U.K. .,Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, U.K
| | - Francesco Zaccardi
- Leicester Diabetes Research Centre, University Hospital Leicester, Leicester General Hospital, Leicester, U.K.,Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, U.K
| | - Claire Lawson
- Leicester Diabetes Research Centre, University Hospital Leicester, Leicester General Hospital, Leicester, U.K.,Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, U.K
| | - Samuel I Seidu
- Leicester Diabetes Research Centre, University Hospital Leicester, Leicester General Hospital, Leicester, U.K.,Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, U.K
| | - Melanie J Davies
- Leicester Diabetes Research Centre, University Hospital Leicester, Leicester General Hospital, Leicester, U.K.,NIHR Leicester Biomedical Research Centre, Leicester Diabetes Research Centre, Leicester General Hospital, Leicester, U.K
| | - Kamlesh Khunti
- Leicester Diabetes Research Centre, University Hospital Leicester, Leicester General Hospital, Leicester, U.K.,Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, U.K
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Hermann M, Heimro LS, Haugstvedt A, Hernar I, Sigurdardottir AK, Graue M. Hypoglycaemia in older home-dwelling people with diabetes- a scoping review. BMC Geriatr 2021; 21:20. [PMID: 33413148 PMCID: PMC7792330 DOI: 10.1186/s12877-020-01961-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Accepted: 12/14/2020] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Hypoglycaemia is associated with cognitive and functional decline in older people with diabetes. Identification of individuals at risk and prevention of hypoglycaemia is therefore an important task in the management of diabetes in older home-dwelling individuals. The purpose of this scoping review was to map the literature on hypoglycaemia in home-dwelling older people with diabetes. METHODS This scoping review included original research articles on hypoglycaemia in older (≥ 65 years) individuals with diabetes from developed countries. A broad search of the databases Cinahl, Embase and Medline was performed in July 2018. The report of the scoping review was conducted in accordance with the PRISMA Extension for Scoping Reviews. RESULTS Our database search identified 577 articles of which 23 were eligible for inclusion. The identified literature was within four areas: 1) incidence of hypoglycaemia in older home-dwelling people with diabetes (11/23 articles), 2) risk factors of hypoglycaemia (9/23), 3) diabetes knowledge and self-management (6/23) and 4) consequences of hypoglycaemia for health care use (6/23). The majority of the literature focused on severe hypoglycaemia and the emergency situation. The literature on diabetes knowledge and management related to preventing adverse events relevant to older home-dwellers, was limited. We found no literature on long-term consequences of hypoglycaemia for the use of home health care services and the older persons' ability to remain home-dwelling. CONCLUSIONS We identified a lack of studies on prevention and management of hypoglycaemia in the older individuals' homes. Such knowledge is of utmost importance in the current situation where most western countries' governmental policies aim to treat and manage complex health conditions in the patient's home. Future studies addressing hypoglycaemia in older individuals with diabetes are needed in order to tailor interventions aiming to enable them to remain home-dwelling as long as possible.
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Affiliation(s)
- Monica Hermann
- Faculty of Health and Social Sciences, Institute of Health and Caring Sciences, Western Norway University of Applied Sciences, Stord, Norway.
| | - Lovise S Heimro
- Faculty of Health and Social Sciences, Institute of Health and Caring Sciences, Western Norway University of Applied Sciences, Stord, Norway
| | - Anne Haugstvedt
- Faculty of Health and Social Sciences, Institute of Health and Caring Sciences, Western Norway University of Applied Sciences, Bergen, Norway
| | - Ingvild Hernar
- Faculty of Health and Social Sciences, Institute of Health and Caring Sciences, Western Norway University of Applied Sciences, Bergen, Norway
| | - Arun K Sigurdardottir
- School of Health Sciences, University of Akureyri, Akureyri, Iceland
- Akureyri Hospital, Akureyri, Iceland
| | - Marit Graue
- Faculty of Health and Social Sciences, Institute of Health and Caring Sciences, Western Norway University of Applied Sciences, Bergen, Norway
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Continuous glucose monitoring in older people with diabetes receiving home care-a feasibility study. Pilot Feasibility Stud 2021; 7:12. [PMID: 33407924 PMCID: PMC7786485 DOI: 10.1186/s40814-020-00754-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Accepted: 12/16/2020] [Indexed: 11/28/2022] Open
Abstract
Background Hypoglycemic incidents in older people can cause severe health problems, enhance general age-related disabilities, and cause frailty. Little is known about incidences of hypoglycemia in older home-dwelling people with diabetes. Thus, the aim of this study was to examine the feasibility of capturing hypoglycemia and issues associated with increased risk of hypoglycemia by use of continuous glucose monitoring (CGM) and standardized questionnaires among older home-dwelling individuals with diabetes type 2 receiving home care. Methods CGM with the Ipro2-blinded monitoring system were performed for 5 days in six home-dwelling individuals ≥ 75 years diagnosed with diabetes and receiving home care. Demographic (age, gender, living arrangements) and clinical data (diabetes diagnoses and duration, diabetes medication, documented treatment goal, available glycosylated hemoglobin (HbA1c)) were collected from electronic patient records in home care services. Feasibility (ease of use, quality of data, time spent) of standardized questionnaires to identify the risk of hypoglycemia (the McKellar Risk Assessment Tool), risk of malnutrition (the Mini Nutritional Assessment (MNA)), functional status (the Individual-based Statistics for Nursing and Care Services (IPLOS)), and cognitive status (the Mini Mental Status Exam (MMSE)) was also assessed. Questionnaire data was collected by a study nurse in the individuals’ home. Results The practical use of CGM was satisfactory, with no major remarks about discomfort or technical errors, except for one participant with skin reaction (redness). Collecting data with the McKellar Risk Assessment Tool, MNA and IPLOS worked well according to quality of data, time spent, and ease of use. The MMSE survey required extensive training of personnel to be conducted. Conclusion The feasibility study informs an upcoming study on the incidence and risk factors of hypoglycemia in home-dwelling older individuals. We will ascertain that personnel who will use the MMSE questionnaire to collect cognitive status and skills are familiar with the tool and adequately educated and trained before study start. The use of blinded CGM in this population was well tolerated and can be used “as is” for future studies.
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McCoy RG, Lipska KJ, Van Houten HK, Shah ND. Development and evaluation of a patient-centered quality indicator for the appropriateness of type 2 diabetes management. BMJ Open Diabetes Res Care 2020; 8:8/2/e001878. [PMID: 33234510 PMCID: PMC7689069 DOI: 10.1136/bmjdrc-2020-001878] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Revised: 10/07/2020] [Accepted: 11/04/2020] [Indexed: 02/06/2023] Open
Abstract
INTRODUCTION Current diabetes quality measures are agnostic to patient clinical complexity and type of treatment required to achieve it. Our objective was to introduce a patient-centered indicator of appropriate diabetes therapy indicator (ADTI), designed for patients with type 2 diabetes, which is based on hemoglobin A1c (HbA1c) but is also contextualized by patient complexity and treatment intensity. RESEARCH DESIGN AND METHODS A draft indicator was iteratively refined by a multidisciplinary Delphi panel using existing quality measures, guidelines, and published literature. ADTI performance was then assessed using OptumLabs Data Warehouse data for 2015. Included adults (n=206 279) with type 2 diabetes were categorized as clinically complex based on comorbidities, then categorized as treated appropriately, overtreated, or undertreated based on a matrix of clinical complexity, HbA1c level, and medications used. Associations between ADTI and emergency department/hospital visits for hypoglycemia and hyperglycemia were assessed by calculating event rates for each treatment intensity subset. RESULTS Overall, 7.4% of patients with type 2 diabetes were overtreated and 21.1% were undertreated. Patients with high complexity were more likely to be overtreated (OR 5.60, 95% CI 5.37 to 5.83) and less likely to be undertreated (OR 0.65, 95% CI 0.62 to 0.68) than patients with low complexity. Overtreated patients had higher rates of hypoglycemia than appropriately treated patients (22.0 vs 6.2 per 1000 people/year), whereas undertreated patients had higher rates of hyperglycemia (8.4 vs 1.9 per 1000 people/year). CONCLUSIONS The ADTI may facilitate timely, patient-centered treatment intensification/deintensification with the goal of achieving safer evidence-based care.
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Affiliation(s)
- Rozalina G McCoy
- Division of Community Internal Medicine, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA
- Division of Health Care Policy & Research, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
- Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Rochester, Minnesota, USA
| | - Kasia J Lipska
- Section of Endocrinology, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA
| | - Holly K Van Houten
- Division of Health Care Policy & Research, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
- Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Rochester, Minnesota, USA
| | - Nilay D Shah
- Division of Health Care Policy & Research, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
- Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Rochester, Minnesota, USA
- OptumLabs, Cambridge, Massachusetts, USA
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Janez A, Őrsy P, Stachlewska K, Salvesen‐Sykes K, Billings LK, Philis‐Tsimikas A. Benefits of insulin degludec/liraglutide are maintained even in patients discontinuing sulphonylureas or dipeptidyl peptidase-4 inhibitors upon initiation of degludec/liraglutide therapy: A post hoc analysis of the DUAL II and DUAL IX trials. Diabetes Obes Metab 2020; 22:658-668. [PMID: 31858673 PMCID: PMC7079143 DOI: 10.1111/dom.13944] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Revised: 12/02/2019] [Accepted: 12/12/2019] [Indexed: 12/15/2022]
Abstract
AIM To investigate the efficacy and safety of initiating insulin degludec/liraglutide (IDegLira) in patients with type 2 diabetes (T2D) who had discontinued pretrial sulphonylureas (SUs) or dipeptidyl peptidase-4 inhibitors (DPP4is) versus patients not previously treated with these regimens. MATERIALS AND METHODS In DUAL II, patients with T2D uncontrolled on basal insulin and metformin ± SU/glinides were randomized to insulin degludec or IDegLira (both capped at 50 U). In DUAL IX, patients were randomized to insulin glargine U100 (no maximum dose) or IDegLira, as add-on to sodium-glucose co-transporter-2 inhibitors ± oral antidiabetic drugs. In this post hoc analysis, patients were grouped according to pretrial use of SU (DUAL II) or DPP4i (DUAL IX). RESULTS Regardless of pretrial SU/DPP4i use, IDegLira was favourable versus insulin comparators with respect to change in HbA1c and body weight. Lower hypoglycaemia rates and comparable end-of-trial daily insulin dose were achieved with IDegLira, regardless of pretrial regimen. There was no clinically relevant increase in mean self-measured blood glucose in the early weeks after IDegLira initiation. There was no statistically significant interaction between the randomized treatments and previous SU/DPP4i use. CONCLUSIONS IDegLira was more favourable compared with degludec or glargine U100 in terms of change in HbA1c and body weight, regardless of antecedent treatment. Clinicians should be aware of a potential transient rise in self-measured blood glucose when transitioning therapy in patients. This shows that SUs/DPP4is can be safely discontinued, without deterioration in glycaemic control when initiating IDegLira, allowing a simplified treatment regimen.
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Affiliation(s)
- Andrej Janez
- University Medical Centre LjubljanaLjubljanaSlovenia
| | | | | | | | - Liana K. Billings
- NorthShore University Health System/University of Chicago Pritzker School of MedicineSkokie, Illinois
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Raghavan S, Vassy JL, Ho YL, Song RJ, Gagnon DR, Cho K, Wilson PWF, Phillips LS. Diabetes Mellitus-Related All-Cause and Cardiovascular Mortality in a National Cohort of Adults. J Am Heart Assoc 2020; 8:e011295. [PMID: 30776949 PMCID: PMC6405678 DOI: 10.1161/jaha.118.011295] [Citation(s) in RCA: 322] [Impact Index Per Article: 64.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Background Diabetes mellitus is a risk factor for cardiovascular disease ( CVD ) and has been associated with 2- to 4-fold higher mortality. Diabetes mellitus-related mortality has not been reassessed in individuals receiving routine care in the United States in the contemporary era of CVD risk reduction. Methods and Results We retrospectively studied 963 648 adults receiving care in the US Veterans Affairs Healthcare System from 2002 to 2014; mean follow-up was 8 years. We estimated associations of diabetes mellitus status and hemoglobin A1c (HbA1c) with all-cause and CVD mortality using covariate-adjusted incidence rates and multivariable Cox proportional hazards regression. Of participants, 34% had diabetes mellitus. Compared with nondiabetic individuals, patients with diabetes mellitus had 7.0 (95% CI , 6.7-7.4) and 3.5 (95% CI, 3.3-3.7) deaths/1000-person-years higher all-cause and CVD mortality, respectively. The age-, sex-, race-, and ethnicity-adjusted hazard ratio for diabetes mellitus-related mortality was 1.29 (95% CI, 1.28-1.31), and declined with adjustment for CVD risk factors (hazard ratio, 1.18 [95% CI, 1.16-1.19]) and glycemia (hazard ratio, 1.03 [95% CI, 1.02-1.05]). Among individuals with diabetes mellitus, CVD mortality increased as HbA1c exceeded 7% (hazard ratios, 1.11 [95% CI, 1.08-1.14], 1.25 [95% CI, 1.22-1.29], and 1.52 [95% CI, 1.48-1.56] for HbA1c 7%-7.9%, 8%-8.9%, and ≥9%, respectively, relative to HbA1c 6%-6.9%). HbA1c 6% to 6.9% was associated with the lowest mortality risk irrespective of CVD history or age. Conclusions Diabetes mellitus remains significantly associated with all-cause and CVD mortality, although diabetes mellitus-related excess mortality is lower in the contemporary era than previously. We observed a gradient of mortality risk with increasing HbA1c >6% to 6.9%, suggesting HbA1c remains an informative predictor of outcomes even if causality cannot be inferred.
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Affiliation(s)
- Sridharan Raghavan
- 1 Department of Veterans Affairs Eastern Colorado Healthcare System Aurora CO.,2 Division of Hospital Medicine University of Colorado School of Medicine Aurora CO.,3 Colorado Cardiovascular Outcomes Research Consortium Aurora CO
| | - Jason L Vassy
- 4 Department of Veterans Affairs Boston Healthcare System Boston MA.,5 Department of Medicine Harvard Medical School Boston MA
| | - Yuk-Lam Ho
- 4 Department of Veterans Affairs Boston Healthcare System Boston MA
| | - Rebecca J Song
- 4 Department of Veterans Affairs Boston Healthcare System Boston MA
| | - David R Gagnon
- 4 Department of Veterans Affairs Boston Healthcare System Boston MA.,6 Department of Biostatistics Boston University School of Public Health Boston MA
| | - Kelly Cho
- 4 Department of Veterans Affairs Boston Healthcare System Boston MA.,5 Department of Medicine Harvard Medical School Boston MA
| | - Peter W F Wilson
- 7 Department of Veterans Affairs Atlanta Medical Center Atlanta GA.,8 Division of Cardiology Emory University School of Medicine Atlanta GA
| | - Lawrence S Phillips
- 7 Department of Veterans Affairs Atlanta Medical Center Atlanta GA.,9 Division of Endocrinology Emory University School of Medicine Atlanta GA
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Anderson TS, Lee S, Jing B, Fung K, Ngo S, Silvestrini M, Steinman MA. Prevalence of Diabetes Medication Intensifications in Older Adults Discharged From US Veterans Health Administration Hospitals. JAMA Netw Open 2020; 3:e201511. [PMID: 32207832 PMCID: PMC7093767 DOI: 10.1001/jamanetworkopen.2020.1511] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Accepted: 01/24/2020] [Indexed: 01/08/2023] Open
Abstract
Importance Elevated blood glucose levels are common in hospitalized older adults and may lead clinicians to intensify outpatient diabetes medications at discharge, risking potential overtreatment when patients return home. Objective To assess how often hospitalized older adults are discharged with intensified diabetes medications and the likelihood of benefit associated with these intensifications. Design, Setting, and Participants This retrospective cohort study examined patients aged 65 years and older with diabetes not previously requiring insulin. The study included patients who were hospitalized in a Veterans Health Administration hospital for common medical conditions between 2011 and 2013. Main Outcomes and Measures Intensification of outpatient diabetes medications, defined as receiving a new or higher-dose medication at discharge than was being taken prior to hospitalization. Mixed-effect logistic regression models were used to control for patient and hospitalization characteristics. Results Of 16 178 patients (mean [SD] age, 73 [8] years; 15 895 [98%] men), 8535 (53%) had a preadmission hemoglobin A1c (HbA1c) level less than 7.0%, and 1044 (6%) had an HbA1c level greater than 9.0%. Overall, 1626 patients (10%) were discharged with intensified diabetes medications including 781 (5%) with new insulins and 557 (3%) with intensified sulfonylureas. Nearly half of patients receiving intensifications (49% [791 of 1626]) were classified as being unlikely to benefit owing to limited life expectancy or already being at goal HbA1c, while 20% (329 of 1626) were classified as having potential to benefit. Both preadmission HbA1c level and inpatient blood glucose recordings were associated with discharge with intensified diabetes medications. Among patients with a preadmission HbA1c level less than 7.0%, the predicted probability of receiving an intensification was 4% (95% CI, 3%-4%) for patients without elevated inpatient blood glucose levels and 21% (95% CI, 15%-26%) for patients with severely elevated inpatient blood glucose levels. Conclusions and Relevance In this study, 1 in 10 older adults with diabetes hospitalized for common medical conditions was discharged with intensified diabetes medications. Nearly half of these individuals were unlikely to benefit owing to limited life expectancy or already being at their HbA1c goal.
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Affiliation(s)
- Timothy S. Anderson
- Division of General Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Sei Lee
- San Francisco VA Medical Center, San Francisco, California
- Division of Geriatrics, University of California, San Francisco
| | - Bocheng Jing
- San Francisco VA Medical Center, San Francisco, California
- Division of Geriatrics, University of California, San Francisco
| | - Kathy Fung
- San Francisco VA Medical Center, San Francisco, California
- Division of Geriatrics, University of California, San Francisco
| | - Sarah Ngo
- San Francisco VA Medical Center, San Francisco, California
- Division of Geriatrics, University of California, San Francisco
| | - Molly Silvestrini
- San Francisco VA Medical Center, San Francisco, California
- Division of Geriatrics, University of California, San Francisco
| | - Michael A. Steinman
- San Francisco VA Medical Center, San Francisco, California
- Division of Geriatrics, University of California, San Francisco
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Abstract
With successful aging of adults with type 1 diabetes, there is an increased opportunity to use technology for diabetes management. Technology can ease the burden of self-care and provide a sense of security. However, age-related cognitive and physical decline can make technology use difficult. Guidelines using technology in the aging population are urgently needed, along with educational material for the clinicians and caregivers. In this article, we review the evidence supporting the use of diabetes-related technologies in the older population and discuss recommendations based on current data and the authors' clinical knowledge and experience.
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Affiliation(s)
- Elena Toschi
- Joslin Diabetes Center, United States, One Joslin Place, Boston, MA 02215, USA; Harvard Medical School, 330 Brookline Avenue, Boston, MA, USA.
| | - Medha N Munshi
- Joslin Diabetes Center, United States, One Joslin Place, Boston, MA 02215, USA; Harvard Medical School, 330 Brookline Avenue, Boston, MA, USA; Beth Israel Deaconess Medical Center, Boston, MA, USA
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Niznik JD, Hunnicutt JN, Zhao X, Mor MK, Sileanu F, Aspinall SL, Springer SP, Ersek MJ, Gellad WF, Schleiden LJ, Hanlon JT, Thorpe JM, Thorpe CT. Deintensification of Diabetes Medications among Veterans at the End of Life in VA Nursing Homes. J Am Geriatr Soc 2020; 68:736-745. [PMID: 32065387 DOI: 10.1111/jgs.16360] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2019] [Revised: 01/13/2020] [Accepted: 01/13/2020] [Indexed: 01/09/2023]
Abstract
OBJECTIVES Many older adults with limited life expectancy and/or advanced dementia (LLE/AD) are potentially overtreated for diabetes and may benefit from deintensification. Our aim was to examine the incidence and predictors of diabetes medication deintensification in older Veterans with LLE/AD who were potentially overtreated at admission to Veterans Affairs (VA) nursing homes (community living centers [CLCs]). DESIGN Retrospective cohort study using linked VA and Medicare clinical/administrative data and Minimum Data Set assessments. SETTING VA CLCs. PARTICIPANTS A total of 6960 Veterans with diabetes and LLE/AD admitted to VA CLCs in fiscal years 2009 to 2015 with hemoglobin (Hb)A1c measured within 90 days of admission. MEASUREMENTS We evaluated treatment deintensification (discontinuation or dose reduction for a consecutive 7-day period) among residents who were potentially overtreated (HbA1c ≤7.5% and receiving hypoglycemic medications). Competing risk models assessed 90-day cumulative incidence of deintensification. RESULTS More than 40% (n = 3056) of Veteran CLC residents with diabetes were potentially overtreated. The cumulative incidence of deintensification at 90 days was 45.5%. Higher baseline HbA1c values were associated with a lower likelihood of deintensification (e.g., HbA1c 7.0-7.5% vs <6.0%; adjusted risk ratio [aRR] = .57; 95% confidence interval [CI] = .50-.66). Compared with non-sulfonylurea oral agents (e.g., metformin), other treatment regimens were more likely to be deintensified (aRR = 1.31-1.88), except for basal insulin (aRR = .59; 95% CI = .52-.66). The only resident factor associated with increased likelihood of deintensification was documented end-of-life status (aRR = 1.12; 95% CI = 1.01-1.25). Admission from home/assisted living (aRR = .85; 95% CI = .75-.96), obesity (aRR = .88; 95% CI = .78-.99), and peripheral vascular disease (aRR = .90; 95% CI = .81-.99) were associated with decreased likelihood of deintensification. CONCLUSION Deintensification of treatment regimens occurred in less than one-half of potentially overtreated Veterans and was more strongly associated with low HbA1c values and use of medications with high risk for hypoglycemia, rather than other resident characteristics. J Am Geriatr Soc 68:736-745, 2020.
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Affiliation(s)
- Joshua D Niznik
- Center for Health Equity Research and Promotion, Veterans Affairs (VA) Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.,Division of Geriatric Medicine, University of North Carolina School of Medicine, Chapel Hill, North Carolina.,Division of Pharmaceutical Outcomes and Policy, University of North Carolina Eshelman School of Pharmacy, Chapel Hill, North Carolina
| | - Jacob N Hunnicutt
- Center for Health Equity Research and Promotion, Veterans Affairs (VA) Pittsburgh Healthcare System, Pittsburgh, Pennsylvania
| | - Xinhua Zhao
- Center for Health Equity Research and Promotion, Veterans Affairs (VA) Pittsburgh Healthcare System, Pittsburgh, Pennsylvania
| | - Maria K Mor
- Center for Health Equity Research and Promotion, Veterans Affairs (VA) Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.,Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Florentina Sileanu
- Center for Health Equity Research and Promotion, Veterans Affairs (VA) Pittsburgh Healthcare System, Pittsburgh, Pennsylvania
| | - Sherrie L Aspinall
- Center for Health Equity Research and Promotion, Veterans Affairs (VA) Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.,VA Center for Medication Safety, Hines, Illinois.,University of Pittsburgh School of Pharmacy, Pittsburgh, Pennsylvania
| | - Sydney P Springer
- Center for Health Equity Research and Promotion, Veterans Affairs (VA) Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.,University of New England College of Pharmacy, Portland, Maine
| | - Mary J Ersek
- Center for Health Equity Research and Promotion, Veterans Affairs (VA) Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.,Veterans Experience Center; Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania.,School of Nursing, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Walid F Gellad
- Center for Health Equity Research and Promotion, Veterans Affairs (VA) Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.,Department of Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Loren J Schleiden
- Center for Health Equity Research and Promotion, Veterans Affairs (VA) Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.,University of Pittsburgh School of Pharmacy, Pittsburgh, Pennsylvania
| | - Joseph T Hanlon
- Center for Health Equity Research and Promotion, Veterans Affairs (VA) Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.,Department of Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.,Geriatric Research Education and Clinical Center, VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania
| | - Joshua M Thorpe
- Center for Health Equity Research and Promotion, Veterans Affairs (VA) Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.,Division of Pharmaceutical Outcomes and Policy, University of North Carolina Eshelman School of Pharmacy, Chapel Hill, North Carolina
| | - Carolyn T Thorpe
- Center for Health Equity Research and Promotion, Veterans Affairs (VA) Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.,Division of Pharmaceutical Outcomes and Policy, University of North Carolina Eshelman School of Pharmacy, Chapel Hill, North Carolina
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McCoy RG, Lipska KJ, Van Houten HK, Shah ND. Paradox of glycemic management: multimorbidity, glycemic control, and high-risk medication use among adults with diabetes. BMJ Open Diabetes Res Care 2020; 8:8/1/e001007. [PMID: 32075810 PMCID: PMC7039576 DOI: 10.1136/bmjdrc-2019-001007] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Revised: 01/09/2020] [Accepted: 01/15/2020] [Indexed: 12/11/2022] Open
Abstract
INTRODUCTION Glycemic targets and glucose-lowering regimens should be individualized based on multiple factors, including the presence of comorbidities. We examined contemporary patterns of glycemic control and use of medications known to cause hypoglycemia among adults with diabetes across age and multimorbidity. RESEARCH DESIGN AND METHODS We retrospectively examined glycosylated hemoglobin (HbA1c) levels and rates of insulin/sulfonylurea use as a function of age and multimorbidity using administrative claims and laboratory data for adults with type 2 diabetes included in OptumLabs Data Warehouse, 1 January 2014 to 31 December 2016. Comorbidity burden was assessed by counts of any of 16 comorbidities specified by guidelines as warranting relaxation of HbA1c targets, classified as being diabetes concordant (diabetes complications or risk factors), discordant (unrelated to diabetes), or advanced (life limiting). RESULTS Among 194 157 patients with type 2 diabetes included in the study, 45.2% had only concordant comorbidities, 30.6% concordant and discordant, 2.7% only discordant, and 13.0% had ≥1 advanced comorbidity. Mean HbA1c was 7.7% among 18-44 year-olds versus 6.9% among ≥75 year-olds, and was higher among patients with comorbidities: 7.3% with concordant only, 7.1% with discordant only, 7.1% with concordant and discordant, and 7.0% with advanced comorbidities compared with 7.4% among patients without comorbidities. The odds of insulin use decreased with age (OR 0.51 (95% CI 0.48 to 0.54) for age ≥75 vs 18-44 years) but increased with accumulation of concordant (OR 5.50 (95% CI 5.22 to 5.79) for ≥3 vs none), discordant (OR 1.72 (95% CI 1.60 to 1.86) for ≥3 vs none), and advanced (OR 1.45 (95% CI 1.25 to 1.68) for ≥2 vs none) comorbidities. Conversely, sulfonylurea use increased with age (OR 1.36 (95% CI 1.29 to 1.44) for age ≥75 vs 18-44 years) but decreased with accumulation of concordant (OR 0.76 (95% CI 0.73 to 0.79) for ≥3 vs none), discordant (OR 0.70 (95% CI 0.64 to 0.76) for ≥3 vs none), but not advanced (OR 0.86 (95% CI 0.74 to 1.01) for ≥2 vs none) comorbidities. CONCLUSIONS The proportion of patients achieving low HbA1c levels was highest among older and multimorbid patients. Older patients and patients with higher comorbidity burden were more likely to be treated with insulin to achieve these HbA1c levels despite potential for hypoglycemia and uncertain long-term benefit.
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Affiliation(s)
- Rozalina G McCoy
- Division of Community Internal Medicine, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA
- Division of Health Care Policy & Research, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
- Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Rochester, Minnesota, USA
| | - Kasia J Lipska
- Section of Endocrinology, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA
| | - Holly K Van Houten
- Division of Health Care Policy & Research, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
- Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Rochester, Minnesota, USA
| | - Nilay D Shah
- Division of Health Care Policy & Research, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
- Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Rochester, Minnesota, USA
- OptumLabs, Cambridge, Massachusetts, USA
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Andreozzi F, Candido R, Corrao S, Fornengo R, Giancaterini A, Ponzani P, Ponziani MC, Tuccinardi F, Mannino D. Clinical inertia is the enemy of therapeutic success in the management of diabetes and its complications: a narrative literature review. Diabetol Metab Syndr 2020; 12:52. [PMID: 32565924 PMCID: PMC7301473 DOI: 10.1186/s13098-020-00559-7] [Citation(s) in RCA: 68] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Accepted: 06/08/2020] [Indexed: 12/17/2022] Open
Abstract
Diabetes mellitus is a chronic disease characterized by high social, economic and health burden, mostly due to the high incidence and morbidity of diabetes complications. Numerous studies have shown that optimizing metabolic control may reduce the risk of micro and macrovascular complications related to the disease, and the algorithms suggest that an appropriate and timely step of care intensification should be proposed after 3 months from the failure to achieve metabolic goals. Nonetheless, many population studies show that glycemic control in diabetic patients is often inadequate. The phenomenon of clinical inertia in diabetology, defined as the failure to start a therapy or its intensification/de-intensification when appropriate, has been studied for almost 20 years, and it is not limited to diabetes care, but also affects other specialties. In the present manuscript, we have documented the issue of inertia in its complexity, assessing its dimensions, its epidemiological weight, and its burden over the effectiveness of care. Our main goal is the identification of the causes of clinical inertia in diabetology, and the quantification of its social and health-related consequences through the adoption of appropriate indicators, in an effort to advance possible solutions and proposals to fight and possibly overcome clinical inertia, thus improving health outcomes and quality of care.
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Affiliation(s)
- F. Andreozzi
- Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, Viale Europa, 88100 Catanzaro, Italy
| | - R. Candido
- Diabetes Center District 3, Azienda Sanitaria Universitaria Integrata di Trieste, Trieste, Italy
| | - S. Corrao
- Department of Internal Medicine, University of Palermo, Palermo, Italy
| | - R. Fornengo
- SSD of Diabetology and Metabolic Diseases, Hospital of Chivasso, Turin, Italy
| | | | - P. Ponzani
- Operative Unit of Diabetology, “La Colletta” Hospital, Genoa, Italy
| | - M. C. Ponziani
- SSD of Diabetology-Azienda Sanitaria Locale Novara, Novara, Italy
| | - F. Tuccinardi
- Diabetology and Endocrinology Unit “Clinica del Sole” Formia, Formia, Italy
| | - D. Mannino
- Section of Endocrinology and Diabetes, Bianchi Melacrino Morelli Hospital, Reggio Calabria, Italy
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Weiner JZ, Gopalan A, Mishra P, Lipska KJ, Huang ES, Laiteerapong N, Karter AJ, Grant RW. Use and Discontinuation of Insulin Treatment Among Adults Aged 75 to 79 Years With Type 2 Diabetes. JAMA Intern Med 2019; 179:1633-1641. [PMID: 31545376 PMCID: PMC6763990 DOI: 10.1001/jamainternmed.2019.3759] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
IMPORTANCE Among older individuals with type 2 diabetes, those with poor health have greater risk and derive less benefit from tight glycemic control with insulin. OBJECTIVE To examine whether insulin treatment is used less frequently and discontinued more often among older individuals with poor health compared with those in good health. DESIGN, SETTING, AND PARTICIPANTS This longitudinal cohort study included 21 531 individuals with type 2 diabetes followed for up to 4 years starting at age 75 years. Electronic health record data from the Kaiser Permanente Northern California Diabetes Registry was collected to characterize insulin treatment and glycemic control over time. Data were collected from January 1, 2009, through December 31, 2017, and analyzed from February 2, 2018, through June 30, 2019. EXPOSURES Health status was defined as good (<2 comorbid conditions or 2 comorbidities but physically active), intermediate (>2 comorbidities or 2 comorbidities and no self-reported weekly exercise), or poor (having end-stage pulmonary, cardiac, or renal disease; diagnosis of dementia; or metastatic cancer). MAIN OUTCOMES AND MEASURES Insulin use prevalence at age 75 years and discontinuation among insulin users over the next 4 years (or 6 months prior to death if <4 years). RESULTS Of 21 531 patients, 10 396 (48.3%) were women, and the mean (SD) age was 75 (0) years. Nearly one-fifth of 75-year-olds (4076 [18.9%]) used insulin. Prevalence and adjusted risk ratios (aRRs) of insulin use at age 75 years were higher in individuals with poor health (29.4%; aRR, 2.03; 95% CI, 1.87-2.20; P < .01) and intermediate health (27.5%; aRR, 1.85; 95% CI, 1.74-1.97; P < .01) relative to good health (10.5% [reference]). One-third (1335 of 4076 [32.7%]) of insulin users at age 75 years discontinued insulin within 4 years of cohort entry (and at least 6 months prior to death). Likelihood of continued insulin use was higher among individuals in poor health (aRR, 1.47; 95% CI, 1.27-1.67; P < .01) and intermediate health (aRR, 1.16; 95% CI, 1.05-1.30; P < .01) compared with good health (reference). These same prevalence and discontinuation patterns were present in the subset with tight glycemic control (hemoglobin A1c <7.0%). CONCLUSIONS AND RELEVANCE In older individuals with type 2 diabetes, insulin use was most prevalent among those in poor health, whereas subsequent insulin discontinuation after age 75 years was most likely in healthier patients. Changes are needed in current practice to better align with guidelines that recommend reducing treatment intensity as health status declines.
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Affiliation(s)
- Jonathan Z Weiner
- Division of Research,Kaiser Permanente of Northern California, Oakland
| | - Anjali Gopalan
- Division of Research,Kaiser Permanente of Northern California, Oakland
| | - Pranita Mishra
- Division of Research,Kaiser Permanente of Northern California, Oakland
| | - Kasia J Lipska
- Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Elbert S Huang
- Section of General Internal Medicine, University of Chicago, Chicago, Illinois
| | - Neda Laiteerapong
- Chicago Center for Diabetes Translation Research, University of Chicago, Chicago, Illinois
| | - Andrew J Karter
- Division of Research,Kaiser Permanente of Northern California, Oakland
| | - Richard W Grant
- Division of Research,Kaiser Permanente of Northern California, Oakland
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Taybani Z, Bótyik B, Katkó M, Gyimesi A, Várkonyi T. Simplifying Complex Insulin Regimens While Preserving Good Glycemic Control in Type 2 Diabetes. Diabetes Ther 2019; 10:1869-1878. [PMID: 31347100 PMCID: PMC6778557 DOI: 10.1007/s13300-019-0673-8] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2019] [Indexed: 12/15/2022] Open
Abstract
INTRODUCTION Type 2 diabetic patients suffering from severe hyperglycemia are often assigned a regimen involving multiple daily injections (MDI) of insulin. If the glucose toxicity resolves, the regimen can potentially be simplified, but there are no guidelines for this, and many patients are left on the MDI regimen. We aimed to prospectively examine the safety and efficacy of switching from MDI to once-daily IDegLira, a fixed-ratio combination of insulin degludec and liraglutide, in relatively well controlled (HbA1c ≤ 7.5%) subjects with type 2 diabetes on a low total daily insulin dose (TDD). METHODS 62 adults with type 2 diabetes (baseline age 64.06 ± 10.24 years, HbA1c 6.42 ± 0.68%, BMI 33.53 ± 6.90 kg/m2, body weight 93.81 ± 19.26 kg, TDD 43.31 ± 10.99 IU/day, insulin requirement 0.47 ± 0.13 IU/kg, duration of diabetes 10.84 ± 7.50 years, mean ± SD) treated with MDI ± metformin were enrolled in our study. Previous insulins were stopped and once-daily IDegLira was started. IDegLira was titrated by the patients to achieve a self-measured pre-breakfast blood glucose concentration of < 6 mmol/L. RESULTS After a mean follow-up period of 99.2 days, mean HbA1c had decreased by 0.30% to 6.12 ± 0.65% (p < 0.0001), body weight had decreased by 3.11 kg to 90.70 ± 19.12 kg (p < 0.0001), and BMI had reduced to 32.39 ± 6.71 kg/m2 (p < 0.0001). After 3 months of treatment, the mean dose of IDegLira was 20.76 ± 6.60 units and the mean insulin requirement had decreased to 0.23 ± 0.08 IU/kg. IDegLira ± metformin combination therapy was found to be safe and generally well tolerated. During the month before the baseline visit, 28 patients (45%) had at least one episode of documented or symptomatic hypoglycemia, while only 6 (9.67%) patients reported a total of 13 documented episodes during the follow-up. CONCLUSION In everyday clinical practice, switching from low-dose MDI to IDegLira in patients with well-controlled type 2 diabetes is safe, may result in weight loss and similar or better glycemic control, and substantially reduces the insulin requirement. Simplifying complex treatment regimens decreases treatment burden and may improve adherence to therapy. CLINICAL TRIAL NUMBER NCT04020445.
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Affiliation(s)
- Zoltán Taybani
- 1st Department of Endocrinology, Dr. Réthy Pál Member Hospital, Békés County Central Hospital, Gyulai street 18, Békéscsaba, 5600, Hungary.
| | - Balázs Bótyik
- 1st Department of Endocrinology, Dr. Réthy Pál Member Hospital, Békés County Central Hospital, Gyulai street 18, Békéscsaba, 5600, Hungary
| | - Mónika Katkó
- Division of Endocrinology, Department of Internal Medicine, Faculty of Medicine, University of Debrecen, Nagyerdei krt. 98, Debrecen, 4032, Hungary
| | - András Gyimesi
- 1st Department of Endocrinology, Dr. Réthy Pál Member Hospital, Békés County Central Hospital, Gyulai street 18, Békéscsaba, 5600, Hungary
| | - Tamás Várkonyi
- 1st Department of Internal Medicine, University of Szeged, Korányi fasor 8, Szeged, 6720, Hungary
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Wojszel ZB, Kasiukiewicz A. A retrospective cross-sectional study of type 2 diabetes overtreatment in patients admitted to the geriatric ward. BMC Geriatr 2019; 19:242. [PMID: 31477024 PMCID: PMC6721089 DOI: 10.1186/s12877-019-1256-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2018] [Accepted: 08/25/2019] [Indexed: 02/02/2023] Open
Abstract
Background Glycemic control targets in older patients should be individualized according to functional status and comorbidities. The aim of the study was to identify high-risk patients who had evidence of tight glycemic control and thus at risk of serious hypoglycemia. Methods Retrospective cross-sectional study of type 2 diabetes patients admitted to the geriatric ward receiving diabetes medications. Patients’ hospital records were analyzed. The high risk of hypoglycemia group constituted patients who were aged 80+ years, diagnosed with dementia, with end- stage renal disease, or with a history of macrovascular complications. The primary outcome measure was hemoglobin A1C (HbA1C) ≤ 7.0% [53 mmol/mol]. Results Two hundred thirteen patients were included (77.5% women; 49.3% 80+ year-old). 65.3% received sulfonylurea, 39,4%- metformin, 32.9%- insulin, and 4.2%- acarbose (in 61.5% as monotherapy, and in 38.5% combination therapy). We identified 130 patients (60%) as the denominator for the primary outcome measure; 73.1% had a HbA1C value ≤7.0% [53.3 mmol/mol], but 55.4% ≤6,5% [48.8 mmol/mol], and 40.8% ≤6.0% [42 mmol/mol]. Conclusions The results show a very high rate of tight glycemic control in older patients admitted to the geriatric ward, for whom higher HbA1C targets are recommended. This indicates the high probability of diabetes overtreatment in this group, associated with a high risk of recurrent hypoglycemia. This is all the more likely because most of them received medications known to cause hypoglycemia. This points to the need of paying more attention to specific difficulties in diabetes treatment in older people, especially those suffering from various geriatric syndromes and diseases worsening their prognosis.
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Affiliation(s)
- Zyta Beata Wojszel
- Department of Geriatrics, Medical University of Bialystok, Fabryczna str. 27; 15-471, Bialystok, Poland. .,Department of Geriatrics, Hospital of the Ministry of Interior in Bialystok, Bialystok, Poland.
| | - Agnieszka Kasiukiewicz
- Department of Geriatrics, Medical University of Bialystok, Fabryczna str. 27; 15-471, Bialystok, Poland.,Department of Geriatrics, Hospital of the Ministry of Interior in Bialystok, Bialystok, Poland
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Mahoney GK, Henk HJ, McCoy RG. Severe Hypoglycemia Attributable to Intensive Glucose-Lowering Therapy Among US Adults With Diabetes: Population-Based Modeling Study, 2011-2014. Mayo Clin Proc 2019; 94:1731-1742. [PMID: 31422897 PMCID: PMC6857710 DOI: 10.1016/j.mayocp.2019.02.028] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2018] [Revised: 01/22/2019] [Accepted: 02/12/2019] [Indexed: 12/19/2022]
Abstract
OBJECTIVE To estimate the contemporary prevalence of intensive glucose-lowering therapy among US adults with diabetes and model the number of hypoglycemia-related emergency department (ED) visits and hospitalizations that are attributable to such intensive treatment. PATIENTS AND METHODS US adults with diabetes and glycated hemoglobin (HbA1c) levels less than 7.0% who were included in the National Health and Nutrition Examination Survey (NHANES) between 2011 and 2014. Participants were categorized as clinically complex if 75 years or older or with 2 or more activities of daily living limitations, end-stage renal disease, or 3 or more chronic conditions. Intensive treatment was defined as any glucose-lowering medications with HbA1c levels of 5.6% or less or 2 or more with HbA1c levels of 5.7% to 6.4%. First, we quantified the proportion of clinically complex and intensively treated individuals in the NHANES population. Then, we modeled the attributable hypoglycemia-related ED visits/hospitalizations over a 2-year period based on published data for event risk. RESULTS Almost half (48.8% [10,719,057 of 21,980,034]) of US adults with diabetes (representing 10.7 million US adults) had HbA1c levels less than 7.0%. Among them, 32.3% (3,466,713 of 10,719,057) were clinically complex, and 21.6% (2,309,556 of 10,719,057) were intensively treated, with no difference by clinical complexity. Over a 2-year period, we estimated 31,511 hospitalizations and 30,954 ED visits for hypoglycemia in this population; of these, 4774 (95% CI, 954-9714) hospitalizations and 4804 (95% CI, 862-9851) ED visits were attributable to intensive treatment. CONCLUSION Intensive glucose-lowering therapy, particularly among vulnerable clinically complex adults, is strongly discouraged because it may lead to hypoglycemia. However, intensive treatment was equally prevalent among US adults, irrespective of clinical complexity. Over a 2-year period, an estimated 9578 hospitalizations and ED visits for hypoglycemia could be attributed to intensive diabetes treatment, particularly among clinically complex patients. Patients at risk for hypoglycemia may benefit from treatment deintensification to reduce hypoglycemia risk and treatment burden.
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Affiliation(s)
- Grace K Mahoney
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA; OptumLabs, Cambridge, MA
| | | | - Rozalina G McCoy
- Division of Community Internal Medicine, Mayo Clinic, Rochester, MN; Division of Health Care Policy & Research, Mayo Clinic, Rochester, MN; Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Rochester, MN.
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Rai P, Dwibedi N, Rowneki M, Helmer DA, Sambamoorthi U. Dipeptidyl Peptidase-4 Inhibitors and Joint Pain: A Retrospective Cohort Study of Older Veterans with Type 2 Diabetes Mellitus. AMERICAN HEALTH & DRUG BENEFITS 2019; 12:223-231. [PMID: 32015789 PMCID: PMC6979048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Received: 12/14/2018] [Accepted: 05/01/2019] [Indexed: 06/10/2023]
Abstract
BACKGROUND In recent years, dipeptidyl peptidase (DPP)-4 inhibitors have been added to the diabetes treatment algorithm. Few published studies have shown that the use of DPP-4 inhibitors is associated with joint pain. To our knowledge, no population-based studies in the United States have studied this association. OBJECTIVE To evaluate the association between a new prescription of DPP-4 inhibitors and joint pain within 1 year among older veterans with diabetes. METHODS This was a retrospective cohort study of older veterans (aged ≥66 years) who were dually enrolled in Medicare and the Veterans Health Administration (VHA; N = 134,488). Data were derived from linked Medicare claims and VHA electronic health records from 2008 to 2010. Diabetes during the baseline and joint pain during the follow-up period were identified with International Classification of Diseases, Ninth Revision codes. Filled prescriptions for DPP-4 inhibitors during the baseline period were identified from Medicare Part D and VHA pharmacy records. The adjusted associations between DPP-4 inhibitors and joint pain were examined with logistic regressions. RESULTS Approximately 8.4% of the 134,488 study patients received at least 1 prescription for DPP-4 inhibitors and 11.7% were diagnosed with joint pain during the follow-up period. An unadjusted analysis showed significant differences in joint pain by DPP-4 inhibitor status (12.9% among users vs 11.6% among nonusers; P <.0001). In a fully adjusted model, having a DPP-4 inhibitor prescription had higher odds of joint pain (adjusted odds ratio, 1.17; 95% confidence interval, 1.10-1.24) compared with no prescription for a DPP-4 inhibitor. CONCLUSION In a cohort of older veterans who did not have documented joint pain at baseline, a prescription for DPP-4 inhibitors was significantly associated with a newly documented joint pain.
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Affiliation(s)
- Pragya Rai
- PharmD Candidate, Department of Pharmaceutical Systems and Policy, West Virginia University School of Pharmacy, Robert C. Byrd Health Sciences Center [North], Morgantown
| | - Nilanjana Dwibedi
- Assistant Professor, Department of Pharmaceutical Systems and Policy, West Virginia University School of Pharmacy, Robert C. Byrd Health Sciences Center [North], Morgantown
| | - Mazhgan Rowneki
- Health Science Specialist, Veterans Affairs New Jersey Healthcare System, War Related Illness and Injury Study Center, East Orange
| | - Drew A Helmer
- Director of War Related Illness and Injury Study Center, Veterans Affairs New Jersey Healthcare System, War Related Illness and Injury Study Center, East Orange
| | - Usha Sambamoorthi
- Professorm Department of Pharmaceutical Systems and Policy, West Virginia University School of Pharmacy, Robert C. Byrd Health Sciences Center [North], Morgantown
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Abstract
PURPOSE OF REVIEW A patient's prognosis and risk of adverse drug effects are important considerations for individualizing care of older patients with diabetes. This review summarizes the evidence for risk assessment and proposes approaches for clinicians in the context of current clinical guidelines. RECENT FINDINGS Diabetes guidelines vary in their recommendations for how life expectancy should be estimated and used to inform the selection of glycemic targets. Readily available prognostic tools may improve estimation of life expectancy but require validation among patients with diabetes. Treatment decisions based on prognosis are difficult for clinicians to communicate and for patients to understand. Determining hypoglycemia risk involves assessing major risk factors; models to synthesize these factors have been developed. Applying risk assessment to individualize diabetes care is complex and currently relies heavily on clinician judgment. More research is need to validate structured approaches to risk assessment and determine how to incorporate them into patient-centered diabetes care.
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Affiliation(s)
- Scott J Pilla
- Department of Medicine, Division of General Internal Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
- Welch Center for Prevention, Epidemiology & Clinical Research, Baltimore, MD, USA.
| | - Nancy L Schoenborn
- Department of Medicine, Division of Geriatric Medicine and Gerontology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Nisa M Maruthur
- Department of Medicine, Division of General Internal Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Welch Center for Prevention, Epidemiology & Clinical Research, Baltimore, MD, USA
- Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Elbert S Huang
- Division of General Internal Medicine, Department of Medicine, The University of Chicago, Chicago, IL, USA
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Seidu S, Kunutsor SK, Topsever P, Hambling CE, Cos FX, Khunti K. Deintensification in older patients with type 2 diabetes: A systematic review of approaches, rates and outcomes. Diabetes Obes Metab 2019; 21:1668-1679. [PMID: 30938038 DOI: 10.1111/dom.13724] [Citation(s) in RCA: 59] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2019] [Revised: 03/19/2019] [Accepted: 03/27/2019] [Indexed: 02/06/2023]
Abstract
AIM To assess deintensification approaches and rates and evaluate the harm and benefits of deintensification with antidiabetic medication and other therapies among older people (≥ 65 years) with type 2 diabetes with or without cardiometabolic conditions. METHODS We identified relevant studies in a literature search of MEDLINE, Embase, Web of Science and Cochrane databases to 30 October 2018. Data were extracted on baseline characteristics, details on deintensification and outcomes, and was synthesized using a narrative approach. RESULTS Ten studies (observational cohorts and interventional studies) with data on 26 558 patients with comorbidities were eligible. Deintensification approaches included complete withdrawal, discontinuation, reducing dosage, conversion, or substitution of at least one medication, but the majority of studies were based on complete withdrawal or discontinuation of antihyperglycaemic medication. Rates of deintensification approaches ranged from 13.4%-75%. The majority of studies reported no deterioration in HbA1c levels, hypoglycaemic episodes, falls or hospitalizations on deintensification. On adverse events and mortality, no significant differences were observed among the comparison groups in the majority of studies. CONCLUSION Available but limited evidence suggests that the benefits of deintensification outweigh the harm in older people with type 2 diabetes with or without comorbidities. Given the heterogeneity of patients with diabetes, further research is warranted on which deintensification approaches are appropriate and beneficial for each specific patient population.
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Affiliation(s)
- Samuel Seidu
- Diabetes Research Centre, Diabetes & Metabolic Medicine, University of Leicester, Leicester, UK
| | - Setor K Kunutsor
- Translational Health Sciences, Bristol Medical School, Musculoskeletal Research Unit, NHS Foundation, National Institute for Health Research Bristol, Biomedical Research Centre, University Hospitals Bristol Trust and University of Bristol, Bristol, UK
| | - Pinar Topsever
- Department of Family Medicine, Acibadem Mehmet Ali Aydinlar University School of Medicine, Istanbul, Turkey
| | - Clare E Hambling
- Department of Public Health and Primary Care, School of Clinical Medicine, Cambridge, UK
| | - Francesc X Cos
- Diabetes & Metabolic Medicine, Jordi Gol Institute for Research in Primary Care, The Foundation University Institute for Primary Health, Barcelona, Spain
| | - Kamlesh Khunti
- Diabetes Research Centre, Diabetes & Metabolic Medicine, University of Leicester, Leicester, UK
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Sinclair AJ, Abdelhafiz AH, Forbes A, Munshi M. Evidence-based diabetes care for older people with Type 2 diabetes: a critical review. Diabet Med 2019; 36:399-413. [PMID: 30411402 DOI: 10.1111/dme.13859] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/05/2018] [Indexed: 12/22/2022]
Abstract
In our ageing society diabetes imposes a significant burden in terms of the numbers of people with the condition, diabetes-related complications including disability, and health and social care expenditure. Older people with diabetes can represent some of the more complex and difficult challenges facing the clinician working in different settings, and the recognition that we have only a relatively small (but increasing) evidence base to guide us in diabetes management is a limitation of our current approaches. Nevertheless, in this review we attempt to explore what evidence there is to guide us in a comprehensive scheme of treatment for older adults, often in a high-risk clinical state, in terms of glucose lowering, blood pressure and lipid management, frailty care and lifestyle interventions. We strive towards individualized care and make a call for action for more high-quality research using different trial designs.
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Affiliation(s)
- A J Sinclair
- Foundation for Diabetes Research in Older People, Diabetes Frail Ltd, Droitwich, UK
| | | | | | - M Munshi
- Harvard Medical School and Joslin Clinic, Boston, MA, USA
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Abdelhafiz AH, Sinclair AJ. Cognitive Frailty in Older People with Type 2 Diabetes Mellitus: the Central Role of Hypoglycaemia and the Need for Prevention. Curr Diab Rep 2019; 19:15. [PMID: 30806826 DOI: 10.1007/s11892-019-1135-4] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
PURPOSE OF REVIEW To highlight the central role of hypoglycaemia in the causation of cognitive frailty and explore ways of recognition and prevention of hypoglycaemia. RECENT FINDINGS Cognitive frailty is an emerging new concept defined as the concomitant presence of physical frailty and cognitive impairment. In older people with diabetes, cognitive frailty is associated with an increased risk of mortality greater than from either physical frailty or cognitive impairment alone. Hypoglycaemia is directly associated with increased risk of cognitive impairment and physical frailty which are the two components of cognitive frailty. The incidence of hypoglycaemia in older people with diabetes is rising and hypoglycaemia-related hospitalisation has overtaken that of hyperglycaemia. Recognition of hypoglycaemic episodes in old age remains challenging which leads to misdiagnoses and under-reporting. Therefore, hypoglycaemia prevention strategies are needed. Research is still required to investigate whether prevention of hypoglycaemia would lead to a reduction in the incidence of cognitive frailty.
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Affiliation(s)
- A H Abdelhafiz
- Department of Geriatric Medicine, Rotherham General Hospital, Moorgate Road, Rotherham, S60 2UD, UK.
| | - A J Sinclair
- Foundation for Diabetes Research in Older People, Diabetes Frail Ltd, Droitwich Spa, WR9 0QH, UK
- Kings College, London, SE1 9NH, UK
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Abstract
Treatment of older adults with type 2 diabetes (T2D) is complex because they represent a heterogeneous group with a broad range of comorbidities, functional abilities, socioeconomic status, and life expectancy. Older adults with T2D are at high risk of recurring hypoglycemia, a condition associated with marked morbidity and mortality, because their counter-regulatory mechanism to hypoglycemia is attenuated, and recurring hypoglycemic episodes can lead to hypoglycemia unawareness. In addition, polypharmacy, a result of multiple chronic comorbidities (including heart disease, stroke, and chronic kidney disease), can increase the risk of severe hypoglycemia, especially when patients are taking sulfonylureas or insulin. Often the signs of hypoglycemia are nonspecific (sweating, dizziness, confusion, visual disturbances) and are mistaken for neurological symptoms or dementia. Consequences of hypoglycemia include acute and long-term cognitive changes, cardiac arrhythmia and myocardial infarction, serious falls, frailty, and death, often resulting in hospitalization, which come at a high economic cost. The American Diabetes Association has recently added three new recommendations regarding hypoglycemia in the elderly, highlighting individualized pharmacotherapy with glucose-lowering agents with a low risk of hypoglycemia and proven cardiovascular safety, avoidance of overtreatment, and simplifying treatment regimens while maintaining HbA1c targets. Thus, glycemic goals can be relaxed in the older population as part of individualized care, and physicians must make treatment decisions that best serve their patients' circumstances. This article highlights the issues faced by older people with T2D, the risk factors for hypoglycemia in this population, and the challenges faced by health care providers regarding glycemic management in this patient group.
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Affiliation(s)
- Jeffrey Freeman
- a Department of Internal Medicine, Division of Endocrinology and Metabolism , Philadelphia College of Osteopathic Medicine , Philadelphia , PA , USA
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