1
|
Mellor J, Kuznetsov D, Heller S, Gall MA, Rosilio M, Amiel SA, Ibberson M, McGurnaghan S, Blackbourn L, Berthon W, Salem A, Qu Y, McCrimmon RJ, de Galan BE, Pedersen-Bjergaard U, Leaviss J, McKeigue PM, Colhoun HM. Estimating risk of consequences following hypoglycaemia exposure using the Hypo-RESOLVE cohort: a secondary analysis of pooled data from insulin clinical trials. Diabetologia 2024; 67:2210-2224. [PMID: 39037602 PMCID: PMC11447089 DOI: 10.1007/s00125-024-06225-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 05/30/2024] [Indexed: 07/23/2024]
Abstract
AIMS/HYPOTHESIS Whether hypoglycaemia increases the risk of other adverse outcomes in diabetes remains controversial, especially for hypoglycaemia episodes not requiring assistance from another person. An objective of the Hypoglycaemia REdefining SOLutions for better liVEs (Hypo-RESOLVE) project was to create and use a dataset of pooled clinical trials in people with type 1 or type 2 diabetes to examine the association of exposure to all hypoglycaemia episodes across the range of severity with incident event outcomes: death, CVD, neuropathy, kidney disease, retinal disorders and depression. We also examined the change in continuous outcomes that occurred following a hypoglycaemia episode: change in eGFR, HbA1c, blood glucose, blood glucose variability and weight. METHODS Data from 84 trials with 39,373 participants were pooled. For event outcomes, time-updated Cox regression models adjusted for age, sex, diabetes duration and HbA1c were fitted to assess association between: (1) outcome and cumulative exposure to hypoglycaemia episodes; and (2) outcomes where an acute effect might be expected (i.e. death, acute CVD, retinal disorders) and any hypoglycaemia exposure within the last 10 days. Exposures to any hypoglycaemia episode and to episodes of given severity (levels 1, 2 and 3) were examined. Further adjustment was then made for a wider set of potential confounders. The within-person change in continuous outcomes was also summarised (median of 40.4 weeks for type 1 diabetes and 26 weeks for type 2 diabetes). Analyses were conducted separately by type of diabetes. RESULTS The maximally adjusted association analysis for type 1 diabetes found that cumulative exposure to hypoglycaemia episodes of any level was associated with higher risks of neuropathy, kidney disease, retinal disorders and depression, with risk ratios ranging from 1.55 (p=0.002) to 2.81 (p=0.002). Associations of a similar direction were found when level 1 episodes were examined separately but were significant for depression only. For type 2 diabetes cumulative exposure to hypoglycaemia episodes of any level was associated with higher risks of death, acute CVD, kidney disease, retinal disorders and depression, with risk ratios ranging from 2.35 (p<0.0001) to 3.00 (p<0.0001). These associations remained significant when level 1 episodes were examined separately. There was evidence of an association between hypoglycaemia episodes of any kind in the previous 10 days and death, acute CVD and retinal disorders in both type 1 and type 2 diabetes, with rate ratios ranging from 1.32 (p=0.017) to 2.68 (p<0.0001). These associations varied in magnitude and significance when examined separately by hypoglycaemia level. Within the range of hypoglycaemia defined by levels 1, 2 and 3, we could not find any evidence of a threshold at which risk of these consequences suddenly became pronounced. CONCLUSIONS/INTERPRETATION These data are consistent with hypoglycaemia being associated with an increased risk of adverse events across several body systems in diabetes. These associations are not confined to severe hypoglycaemia requiring assistance.
Collapse
Affiliation(s)
- Joseph Mellor
- Usher Institute, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK.
| | | | - Simon Heller
- Division of Clinical Medicine, University of Sheffield, Sheffield, UK
| | - Mari-Anne Gall
- Medical & Science, Insulin, Clinical Drug Development, Novo Nordisk A/S, Soeberg, Denmark
| | - Myriam Rosilio
- Diabetes Medical Unit, Eli Lilly and Company, Neuilly-sur-Seine, France
| | - Stephanie A Amiel
- Department of Diabetes, School of Cardiovascular and Metabolic Medicine and Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK
| | - Mark Ibberson
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Stuart McGurnaghan
- Institute of Genetics and Cancer, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK
| | - Luke Blackbourn
- Institute of Genetics and Cancer, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK
| | - William Berthon
- Usher Institute, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK
| | - Adel Salem
- RW Data Assets, AI & Analytics(AIA), Novo Nordisk A/S, Soeberg, Denmark
| | - Yongming Qu
- Eli Lilly and Company, Indianapolis, IN, USA
| | - Rory J McCrimmon
- Systems Medicine, School of Medicine, University of Dundee, Dundee, UK
| | - Bastiaan E de Galan
- Division of Endocrinology and Metabolic Disease, Department of Internal Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
| | | | - Joanna Leaviss
- School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
| | - Paul M McKeigue
- Usher Institute, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK
| | - Helen M Colhoun
- Institute of Genetics and Cancer, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK
| |
Collapse
|
2
|
Wong C, De Bray A, Ul Hassan N, Almohandes A, Thant KZ, Gill S, Gill D, Forsdick H, Sinclair AJ, Karamat MA, Bellary S. Glycaemic outcomes in people living with diabetes under 65 and over 65 years old using an intermittently scanned continuous glucose monitoring system. Ther Adv Endocrinol Metab 2024; 15:20420188241269133. [PMID: 39170849 PMCID: PMC11337186 DOI: 10.1177/20420188241269133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Accepted: 06/23/2024] [Indexed: 08/23/2024] Open
Abstract
Objective Intermittently scanned continuous glucose monitoring (isCGM) has revolutionised the care of people with diabetes but its uptake and benefits in older adults are not well known. We examined the impact of isCGM (Freestyle Libre, FSL) on glycaemic outcomes in younger (⩽65 years) and older adults (>65 years) with diabetes. Design and methods In total, 2260 adult patients registered on the Libreview account at University Hospitals Birmingham NHS Foundation Trust, UK, were included. Inclusion criteria: all patients with type 1 and type 2 diabetes aged >18 years, use of isCGM >6 months, scanning at least 6 times/day. Demographics, diabetes history and glycaemic outcomes (time in range (TIR), time above range and time below range (TBR), estimated HbA1c, HbA1c at start and at end of study) were collected by accessing electronic patient records and Libreview. Outcomes were compared between age groups ⩽65 or >65 years old. Results Most patients were of Caucasian ethnicity (⩽65 years 68%, >65 years 73%) and had type 1 diabetes. Mean duration of diabetes was 19.5 years (range 0-65 years) and 34.5 years (range 0-79 years) for ⩽65 and >65 years, respectively. Only a quarter of those ⩽65 years achieved (219/943; 23.2%) their age specific TIR target compared to 69% (78/113) of those >65 years cohort, while 70.1% (663/946) of ⩽65 years and 40.7% (46/113) of >65 years achieved their age-specific TBR target. When the less strict ⩽65 years TBR target was applied, 75% (85/113) of >65 years cohort achieved this. Conclusion FSL use was associated with improved glycaemic outcomes across all age groups. Individualised targets may be needed to improve TBR in those aged >65 years.
Collapse
Affiliation(s)
- Carol Wong
- Department of Diabetes and Endocrinology, Birmingham Heartlands Hospital, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Anne De Bray
- Centre for Endocrinology, Diabetes and Metabolism, University of Birmingham, Birmingham, UK
- Oxford Centre for Diabetes, University of Oxford, Oxford, UK
| | - Naeem Ul Hassan
- Department of Diabetes and Endocrinology, Birmingham Heartlands Hospital, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Ahmed Almohandes
- Department of Diabetes and Endocrinology, Birmingham Heartlands Hospital, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Kyi Zin Thant
- Department of Diabetes and Endocrinology, Birmingham Heartlands Hospital, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Sofia Gill
- Birmingham Medical School, University of Birmingham, Birmingham, UK
| | - Dayna Gill
- Birmingham Medical School, University of Birmingham, Birmingham, UK
| | - Hayley Forsdick
- Department of Diabetes and Endocrinology, Birmingham Heartlands Hospital, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | | | - Muhammad Ali Karamat
- Department of Diabetes and Endocrinology, Birmingham Heartlands Hospital, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
- Centre for Endocrinology, Diabetes and Metabolism, University of Birmingham, Birmingham, UK
| | - Srikanth Bellary
- Aston University, Aston Triangle, Birmingham B4 7ET, UK
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| |
Collapse
|
3
|
Pan SY, Su EL, Huang CJ, Chuang SY, Chiang CE, Chen CH, Cheng HM. Evaluation of glucose-lowering medications in older people: a comprehensive systematic review and network meta-analysis of randomized controlled trials. Age Ageing 2024; 53:afae175. [PMID: 39137064 DOI: 10.1093/ageing/afae175] [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] [Received: 01/31/2024] [Revised: 05/08/2024] [Accepted: 08/02/2024] [Indexed: 08/15/2024] Open
Abstract
BACKGROUND Type 2 diabetes mellitus (T2DM) is increasingly being diagnosed in older adults. Our objective is to assess the advantages and potential drawbacks of different glucose-lowering medications in this specific population. METHODS A network meta-analysis was conducted to identify randomized controlled trials that examined patient-centered outcomes in adults aged ≥65 years with T2DM. We searched PubMed, Cochrane CENTRAL, and Embase up to September 23, 2023. Quality of eligible studies were assessed using the Cochrane RoB 2.0 tool. RESULTS A total of 22 trials that involved 41 654 participants were included, incorporating sodium-glucose cotransporter-2 (SGLT2) inhibitors, glucagon-like peptide-1 receptor agonists (GLP-1RAs), dipeptidyl peptidase-4 (DPP-4) inhibitors, metformin, sulfonylureas (SU) and acarbose. Our findings reveal that GLP-1RAs reduce the risk of major adverse cardiovascular events (risk ratio [RR], 0.83; 95% confidence interval [CI], 0.71 to 0.97) and body weight (mean difference [MD], -3.87 kg; 95% CI, -5.54 to -2.21). SGLT2 inhibitors prevent hospitalization for heart failure (RR, 0.66; 95% CI, 0.57 to 0.77), renal composite outcome (RR, 0.69; 95% CI, 0.53 to 0.89), and reduce body weights (MD, -1.85 kg; 95% CI, -2.42 to -1.27). SU treatment increases the risk of any hypoglycaemia (RR, 4.19; 95% CI, 3.52 to 4.99) and severe hypoglycaemia (RR, 7.06; 95% CI, 3.03 to 16.43). GLP-1RAs, SGLT2 inhibitors, metformin, SU and DPP-4 inhibitors are effective in reducing glycaemic parameters. Notably, the number of treatments needed decreases in most cases as age increases. CONCLUSIONS Novel glucose-lowering medications with benefits that outweigh risks should be prioritized for older patients with diabetes.
Collapse
Affiliation(s)
- Ssu-Yu Pan
- Department of Medical Education, Taipei Veterans General Hospital, Taipei, Taiwan
| | - En-Lin Su
- Department of Medical Education, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Chi-Jung Huang
- Division of Evidence-based Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Shao-Yuan Chuang
- Institute of Population Health Science, National Health Research Institute, Miaoli, Taiwan
| | - Chern-En Chiang
- School of Medicine, National Yang Ming Chiao Tung University School of Medicine, Taipei, Taiwan
- General Clinical Research Centre, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Chen-Huan Chen
- School of Medicine, National Yang Ming Chiao Tung University School of Medicine, Taipei, Taiwan
- Institute of Public Health and Community Medicine Research Centre, National Yang Ming Chiao Tung University School of Medicine, Taipei, Taiwan
| | - Hao-Min Cheng
- Department of Medical Education, Taipei Veterans General Hospital, Taipei, Taiwan
- Division of Evidence-based Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University School of Medicine, Taipei, Taiwan
- Institute of Public Health and Community Medicine Research Centre, National Yang Ming Chiao Tung University School of Medicine, Taipei, Taiwan
| |
Collapse
|
4
|
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
| |
Collapse
|
5
|
Rashtchian A, Etemadi MH, Asadi E, Binaei S, Abbasi M, Bayani M, Izadi E, Sadat-Madani SF, Naziri M, Khoshravesh S, Shirani M, Asadi Anar M, Deravi N. Diabetes mellitus and risk of incident dementia in APOE ɛ4 carriers: an updated meta-analysis. BMC Neurosci 2024; 25:28. [PMID: 38918708 PMCID: PMC11201872 DOI: 10.1186/s12868-024-00878-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2024] [Accepted: 06/20/2024] [Indexed: 06/27/2024] Open
Abstract
BACKGROUND AND AIM Diabetes raises the risk of dementia, mortality, and cognitive decline in the elderly, potentially because of hereditary variables such as APOE. In this study, we aim to evaluate Diabetes mellitus and the risk of incident dementia in APOE ɛ4 carriers. METHOD We thoroughly searched PubMed (Medline), Scopus, and Google Scholar databases for related articles up to September 2023. The titles, abstracts, and full texts of articles were reviewed; data were extracted and analyzed. RESULT This meta-analysis included nine cohorts and seven cross-sectional articles with a total of 42,390 population. The study found that APOE ɛ4 carriers with type 2 diabetes (T2D) had a 48% higher risk of developing dementia compared to non-diabetic carriers (Hazard Ratio;1.48, 95%CI1.36-1.60). The frequency of dementia was 3 in 10 people (frequency: 0.3; 95%CI (0.15-0.48). No significant heterogeneity was observed. Egger's test, which we performed, revealed no indication of publication bias among the included articles (p = 0.2). CONCLUSION Overall, diabetes increases the risk of dementia, but further large-scale studies are still required to support the results of current research.
Collapse
Affiliation(s)
- Ava Rashtchian
- Student Research Committee, School of Medicine, Shahid Beheshti University of Medical Sciences, SBUMS, Arabi Ave, Daneshjoo Blvd, Velenjak, Tehran, 19839-63113, Iran
| | - Mohammad Hossein Etemadi
- Students Research Committee, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Elham Asadi
- Student Research Committee, School of Medicine, Shahid Beheshti University of Medical Sciences, SBUMS, Arabi Ave, Daneshjoo Blvd, Velenjak, Tehran, 19839-63113, Iran
| | - Sara Binaei
- Endocrinology and Metabolism Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
| | - Mina Abbasi
- Student Research Committee, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Maedeh Bayani
- Student Research Committee,, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Erfan Izadi
- Student Research Committee, School of Medicine, Shahroud University of Medical Sciences, Shahroud, Iran
| | | | - Mahdyieh Naziri
- Student Research Committee, School of Health, Iran University of Medical Science, Tehran, Iran
| | | | - Mahsa Shirani
- Student Research Committee, School of Medicine, Shahid Beheshti University of Medical Sciences, SBUMS, Arabi Ave, Daneshjoo Blvd, Velenjak, Tehran, 19839-63113, Iran
| | - Mahsa Asadi Anar
- Student Research Committee, School of Medicine, Shahid Beheshti University of Medical Sciences, SBUMS, Arabi Ave, Daneshjoo Blvd, Velenjak, Tehran, 19839-63113, Iran.
| | - Niloofar Deravi
- Student Research Committee, School of Medicine, Shahid Beheshti University of Medical Sciences, SBUMS, Arabi Ave, Daneshjoo Blvd, Velenjak, Tehran, 19839-63113, Iran.
| |
Collapse
|
6
|
Putallaz P, Seematter-Bagnoud L, Draganski B, Rouaud O, Krief H, Büla CJ. Diabetes mellitus in older persons with neurocognitive disorder: overtreatment prevalence and associated structural brain MRI findings. BMC Geriatr 2024; 24:427. [PMID: 38745127 PMCID: PMC11095019 DOI: 10.1186/s12877-024-05025-x] [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] [Received: 01/30/2024] [Accepted: 04/29/2024] [Indexed: 05/16/2024] Open
Abstract
BACKGROUND Tight diabetes control is often applied in older persons with neurocognitive disorder resulting in increased hypoglycemic episodes but little is known about the pattern of brain injury in these overtreated patients. This study aims to: (a) quantify the prevalence of diabetes overtreatment in cognitively impaired older adults in a clinical population followed in an academic memory clinic (b) identify risk factors contributing to overtreatment; and (c) explore the association between diabetes overtreatment and specific brain region volume changes. METHODS Retrospective study of older patients with type 2 diabetes and cognitive impairment who were diagnosed in a memory clinic from 2013 to 2020. Patients were classified into vulnerable and dependent according to their health profile. Overtreatment was defined when glycated hemoglobin was under 7% for vulnerable and 7.6% for dependent patients. Characteristics associated to overtreatment were examined in multivariable analysis. Grey matter volume in defined brain regions was measured from MRI using voxel-based morphometry and compared in patients over- vs. adequately treated. RESULTS Among 161 patients included (median age 76.8 years, range 60.8-93.3 years, 32.9% women), 29.8% were considered as adequately treated, 54.0% as overtreated, and 16.2% as undertreated. In multivariable analyses, no association was observed between diabetes overtreatment and age or the severity of cognitive impairment. Among patients with neuroimaging data (N = 71), associations between overtreatment and grey matter loss were observed in several brain regions. Specifically, significant reductions in grey matter were found in the caudate (adj β coeff: -0.217, 95%CI: [-0.416 to -0.018], p = .033), the precentral gyri (adj βcoeff:-0.277, 95%CI: [-0.482 to -0.073], p = .009), the superior frontal gyri (adj βcoeff: -0.244, 95%CI: [-0.458 to -0.030], p = .026), the calcarine cortex (adj βcoeff:-0.193, 95%CI: [-0.386 to -0.001], p = .049), the superior occipital gyri (adj βcoeff: -0.291, 95%CI: [-0.521 to -0.061], p = .014) and the inferior occipital gyri (adj βcoeff: -0.236, 95%CI: [-0.456 to - 0.015], p = .036). CONCLUSION A significant proportion of older patients with diabetes and neurocognitive disorder were subjected to excessively intensive treatment. The association identified with volume loss in several specific brain regions highlights the need to further investigate the potential cerebral damages associated with overtreatment and related hypoglycemia in larger sample.
Collapse
Affiliation(s)
- Pauline Putallaz
- Service of geriatric medicine and geriatric rehabilitation, University of Lausanne Medical Center (CHUV), Route de Mont Paisible 16, Lausanne, 1011, Switzerland.
- Service of geriatric medicine, Hospital of Valais, Avenue de la Fusion 27, Martigny, 1920, Switzerland.
| | - Laurence Seematter-Bagnoud
- Service of geriatric medicine and geriatric rehabilitation, University of Lausanne Medical Center (CHUV), Route de Mont Paisible 16, Lausanne, 1011, Switzerland
- Department of Epidemiology and Public Health (Unisanté), Lausanne, 1011, Switzerland
| | - Bogdan Draganski
- Laboratory of Research in Neuroimaging (LREN) - Department of Clinical Neuroscience - CHUV, University of Lausanne, Lausanne, 1011, Switzerland
| | - Olivier Rouaud
- Leenaards Memory Center, University of Lausanne Medical Center (CHUV), Route de Mont Paisible 16, Lausanne, 1011, Switzerland
| | - Hélène Krief
- Service of geriatric medicine and geriatric rehabilitation, University of Lausanne Medical Center (CHUV), Route de Mont Paisible 16, Lausanne, 1011, Switzerland
| | - Christophe J Büla
- Service of geriatric medicine and geriatric rehabilitation, University of Lausanne Medical Center (CHUV), Route de Mont Paisible 16, Lausanne, 1011, Switzerland
| |
Collapse
|
7
|
Niu X, Chang J, Corrada MM, Bullock A, Winchester B, Manson SM, O’Connell J, Jiang L. The Relationship between All-Cause Dementia and Acute Diabetes Complications among American Indian and Alaska Native Peoples. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2024; 21:496. [PMID: 38673407 PMCID: PMC11049920 DOI: 10.3390/ijerph21040496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Revised: 04/02/2024] [Accepted: 04/09/2024] [Indexed: 04/28/2024]
Abstract
BACKGROUND American Indian and Alaska Native people (AI/AN) bear a disproportionate burden of diabetes. Growing evidence shows significant associations between several acute diabetes complications and dementia among diabetes patients. However, little is known about these relationships among AI/AN adults. Here, we aim to investigate these associations among AI/AN adults. METHODS This cross-sectional study extracted data from the Indian Health Service's (IHS) National Data Warehouse and related administrative databases. A total of 29,337 IHS actual users with diabetes who were 45+ years old during fiscal year 2013 were included. All-cause dementia and diabetes complications were identified using ICD-9 diagnostic codes. Negative binomial regression models were used to evaluate the associations of interest. RESULTS Nearly 3% of AI/AN diabetes patients had a dementia diagnosis. After controlling for covariates, dementia was associated with a 94% higher rate of severe hypoglycemia (Incidence Rate Ratio [IRR = 1.94, 95% CI:1.50-2.51), 52% higher rate of severe hyperglycemia (IRR = 1.52, 95% CI, 1.11-2.08), and 92% higher rate of any acute complication (IRR = 1.92, 95% CI:1.53-2.41). CONCLUSIONS AI/AN diabetes patients with dementia suffered from considerably higher rates of acute diabetes complications than their counterparts without dementia. The clinical management of patients with comorbid diabetes and dementia is particularly challenging and may require individualized treatment approaches.
Collapse
Affiliation(s)
- Xiaoyi Niu
- Department of Epidemiology & Biostatistics, University of California Irvine, Irvine, CA 92697, USA; (X.N.); (M.M.C.)
| | - Jenny Chang
- Department of Medicine, University of California Irvine, Irvine, CA 92697, USA;
| | - Maria M. Corrada
- Department of Epidemiology & Biostatistics, University of California Irvine, Irvine, CA 92697, USA; (X.N.); (M.M.C.)
- Department of Neurology, School of Medicine, University of California Irvine, Irvine, CA 92697, USA
| | - Ann Bullock
- Formerly with the Division of Diabetes Treatment and Prevention, Indian Health Service, Rockville, MD 20857, USA;
| | | | - Spero M. Manson
- Centers for American Indian and Alaska Native Health, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA; (S.M.M.); (J.O.)
| | - Joan O’Connell
- Centers for American Indian and Alaska Native Health, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA; (S.M.M.); (J.O.)
| | - Luohua Jiang
- Department of Epidemiology & Biostatistics, University of California Irvine, Irvine, CA 92697, USA; (X.N.); (M.M.C.)
| |
Collapse
|
8
|
Martin SS, Aday AW, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Barone Gibbs B, Beaton AZ, Boehme AK, Commodore-Mensah Y, Currie ME, Elkind MSV, Evenson KR, Generoso G, Heard DG, Hiremath S, Johansen MC, Kalani R, Kazi DS, Ko D, Liu J, Magnani JW, Michos ED, Mussolino ME, Navaneethan SD, Parikh NI, Perman SM, Poudel R, Rezk-Hanna M, Roth GA, Shah NS, St-Onge MP, Thacker EL, Tsao CW, Urbut SM, Van Spall HGC, Voeks JH, Wang NY, Wong ND, Wong SS, Yaffe K, Palaniappan LP. 2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association. Circulation 2024; 149:e347-e913. [PMID: 38264914 DOI: 10.1161/cir.0000000000001209] [Citation(s) in RCA: 182] [Impact Index Per Article: 182.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/25/2024]
Abstract
BACKGROUND The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2024 AHA Statistical Update is the product of a full year's worth of effort in 2023 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. The AHA strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional global data, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
Collapse
|
9
|
Tang H, Guo J, Shaaban CE, Feng Z, Wu Y, Magoc T, Hu X, Donahoo WT, DeKosky ST, Bian J. Heterogeneous treatment effects of metformin on risk of dementia in patients with type 2 diabetes: A longitudinal observational study. Alzheimers Dement 2024; 20:975-985. [PMID: 37830443 PMCID: PMC10917005 DOI: 10.1002/alz.13480] [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] [Received: 02/08/2023] [Revised: 08/14/2023] [Accepted: 08/20/2023] [Indexed: 10/14/2023]
Abstract
INTRODUCTION Little is known about the heterogeneous treatment effects of metformin on dementia risk in people with type 2 diabetes (T2D). METHODS Participants (≥ 50 years) with T2D and normal cognition at baseline were identified from the National Alzheimer's Coordinating Center database (2005-2021). We applied a doubly robust learning approach to estimate risk differences (RD) with a 95% confidence interval (CI) for dementia risk between metformin use and no use in the overall population and subgroups identified through a decision tree model. RESULTS Among 1393 participants, 104 developed dementia over a 4-year median follow-up. Metformin was significantly associated with a lower risk of dementia in the overall population (RD, -3.2%; 95% CI, -6.2% to -0.2%). We identified four subgroups with varied risks for dementia, defined by neuropsychiatric disorders, non-steroidal anti-inflammatory drugs, and antidepressant use. DISCUSSION Metformin use was significantly associated with a lower risk of dementia in individuals with T2D, with significant variability among subgroups.
Collapse
Affiliation(s)
- Huilin Tang
- Department of Pharmaceutical Outcomes and PolicyUniversity of Florida College of PharmacyGainesvilleFloridaUSA
| | - Jingchuan Guo
- Department of Pharmaceutical Outcomes and PolicyUniversity of Florida College of PharmacyGainesvilleFloridaUSA
- Center for Drug Evaluation and SafetyUniversity of FloridaGainesvilleFloridaUSA
| | - C. Elizabeth Shaaban
- Department of EpidemiologySchool of Public HealthUniversity of PittsburghPittsburghPennsylvaniaUSA
- Alzheimer's Disease Research CenterUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Zheng Feng
- Department of Health Outcomes and Biomedical InformaticsCollege of MedicineUniversity of FloridaGainesvilleFloridaUSA
| | - Yonghui Wu
- Department of Health Outcomes and Biomedical InformaticsCollege of MedicineUniversity of FloridaGainesvilleFloridaUSA
| | - Tanja Magoc
- Clinical and Translational Science InstituteUniversity of FloridaGainesvilleFloridaUSA
| | - Xia Hu
- DATA LabDepartment of Computer ScienceRice UniversityHoustonTexasUSA
| | - William T Donahoo
- Department of MedicineCollege of MedicineUniversity of FloridaGainesvilleFloridaUSA
| | - Steven T. DeKosky
- Department of Neurology and McKnight Brain InstituteCollege of MedicineUniversity of FloridaGainesvilleFloridaUSA
- Florida Alzheimer's Disease Research Center (ADRC)University of FloridaGainesvilleFloridaUSA
| | - Jiang Bian
- Department of Health Outcomes and Biomedical InformaticsCollege of MedicineUniversity of FloridaGainesvilleFloridaUSA
| |
Collapse
|
10
|
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: 24] [Impact Index Per Article: 24.0] [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.
Collapse
|
11
|
ElSayed NA, Aleppo G, Bannuru RR, Bruemmer D, Collins BS, Cusi K, Ekhlaspour L, Fleming TK, Hilliard ME, Johnson EL, Khunti K, Lingvay I, Matfin G, McCoy RG, Napoli N, Perry ML, Pilla SJ, Polsky S, Prahalad P, Pratley RE, Segal AR, Seley JJ, Stanton RC, Verduzco-Gutierrez M, Younossi ZM, Gabbay RA. 4. Comprehensive Medical Evaluation and Assessment of Comorbidities: Standards of Care in Diabetes-2024. Diabetes Care 2024; 47:S52-S76. [PMID: 38078591 PMCID: PMC10725809 DOI: 10.2337/dc24-s004] [Citation(s) in RCA: 26] [Impact Index Per Article: 26.0] [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.
Collapse
|
12
|
Xiao Y, Devakumar V, Xu L, Liu L, Mo H, Hong X. Elevated serum creatinine levels and risk of cognitive impairment in older adults with diabetes: a NHANES study from 2011-2014. Front Endocrinol (Lausanne) 2023; 14:1149084. [PMID: 37900140 PMCID: PMC10603184 DOI: 10.3389/fendo.2023.1149084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 04/17/2023] [Indexed: 10/31/2023] Open
Abstract
Background The brain and kidney have similar microvascular structure, which makes them susceptible to certain common pathophysiological processes. In this study, we examined several indicators of kidney injury/function associated with cognitive function in older diabetic patients in the hope of finding effective markers for detecting cognitive impairment (CI). Methods A total of 2209 older participants (aged ≥60 years) from the 2011-2014 National Health and Nutrition Examination Survey (NHANES) were analyzed for the association between diabetes and CI using a multiple linear regression analysis model. Using the same approach, we also analyzed the relationship between indicators of kidney injury/function and cognitive function (Animal Fluency Test, Digit Symbol Substitution Test) in the diabetic population. Results Diabetes was associated with CI. In age-adjusted model, older diabetics performed significantly poorer on tests of cognitive function compared to normoglycaemic individuals (1.145 points lower on the Animal Fluency Test (P = 0.005) and 7.868 points reduced on the Digit Symbol Substitution Test (P < 0.001)). In diabetics, we found elevated serum creatinine (SCr) (especially at SCr≥300uM) was associated with lower scores on cognitive function tests after strict adjustment for potential influences on cognitive function. While, albumin/creatinine ratio (ACR) was only associated with Digit Symbol Substitution score (DSS) not Animal Fluency score (AFS), and estimated glomerular filtration rate (eGFR) was only associated with CI (AFS and DSS) at the end-stage renal disease. Conclusion SCr, as a sensitive indicator of kidney injury, was significantly associated with CI and can potentially be used as an effective marker for screening CI in older diabetics.
Collapse
Affiliation(s)
- Yanhua Xiao
- Department of Rheumatology and Immunology, Affiliated Hospital of Guilin Medical University, Guilin, China
| | - Veda Devakumar
- Hiller Research Unit, University Hospital Düsseldorf, Medical Faculty of Heinrich Heine University, Düsseldorf, Germany
| | - Liyan Xu
- Department of Orthopaedics, Tianjin Hospital, Tianjin, China
| | - Lei Liu
- Department of Rheumatology and Immunology, Affiliated Hospital of Guilin Medical University, Guilin, China
| | - Hanyou Mo
- Department of Rheumatology and Immunology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Xuezhi Hong
- Department of Rheumatology and Immunology, Affiliated Hospital of Guilin Medical University, Guilin, China
| |
Collapse
|
13
|
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: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 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.
Collapse
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.
| |
Collapse
|
14
|
Anderson TS, Ayanian JZ, Curto VE, Politzer E, Souza J, Zaslavsky AM, Landon BE. Changes in the Use of Long-Term Medications Following Incident Dementia Diagnosis. JAMA Intern Med 2023; 183:1098-1108. [PMID: 37603340 PMCID: PMC10442785 DOI: 10.1001/jamainternmed.2023.3575] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 06/09/2023] [Indexed: 08/22/2023]
Abstract
Importance Dementia is a life-altering diagnosis that may affect medication safety and goals for chronic disease management. Objective To examine changes in medication use following an incident dementia diagnosis among community-dwelling older adults. Design, Setting, and Participants In this cohort study of adults aged 67 years or older enrolled in traditional Medicare and Medicare Part D, patients with incident dementia diagnosed between January 2012 and December 2018 were matched to control patients based on demographics, geographic location, and baseline medication count. The index date was defined as the date of first dementia diagnosis or, for controls, the date of the closest office visit. Data were analyzed from August 2021 to June 2023. Exposure Incident dementia diagnosis. Main Outcomes and Measures The main outcomes were overall medication counts and use of cardiometabolic, central nervous system (CNS)-active, and anticholinergic medications. A comparative time-series analysis was conducted to examine quarterly changes in medication use in the year before through the year following the index date. Results The study included 266 675 adults with incident dementia and 266 675 control adults; in both groups, 65.1% were aged 80 years or older (mean [SD] age, 82.2 [7.1] years) and 67.8% were female. At baseline, patients with incident dementia were more likely than controls to use CNS-active medications (54.32% vs 48.39%) and anticholinergic medications (17.79% vs 15.96%) and less likely to use most cardiometabolic medications (eg, diabetes medications, 31.19% vs 36.45%). Immediately following the index date, the cohort with dementia had a greater increase in mean number of medications used (0.41 vs -0.06; difference, 0.46 [95% CI, 0.27-0.66]) and in the proportion of patients using CNS-active medications (absolute change, 3.44% vs 0.79%; difference, 2.65% [95% CI, 0.85%-4.45%]) owing to an increased use of antipsychotics, antidepressants, and antiepileptics. The cohort with dementia also had a modestly greater decline in use of anticholinergic medications (quarterly change in use, -0.53% vs -0.21%; difference, -0.32% [95% CI, -0.55% to -0.08%]) and most cardiometabolic medications (eg, quarterly change in antihypertensive use: -0.84% vs -0.40%; difference, -0.44% [95% CI, -0.64% to -0.25%]). One year after diagnosis, 75.2% of the cohort with dementia were using 5 or more medications (2.8% increase). Conclusions and Relevance In this cohort study of Medicare Part D beneficiaries, following an incident dementia diagnosis, patients were more likely to initiate CNS-active medications and modestly more likely to discontinue cardiometabolic and anticholinergic medications compared with the control group. These findings suggest missed opportunities to reduce burdensome polypharmacy by deprescribing long-term medications with high safety risks or limited likelihood of benefit or that may be associated with impaired cognition.
Collapse
Affiliation(s)
- Timothy S. Anderson
- Division of General Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - John Z. Ayanian
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor
- Division of General Medicine, University of Michigan, Ann Arbor
| | - Vilsa E. Curto
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Eran Politzer
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts
| | - Jeffrey Souza
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts
| | - Alan M. Zaslavsky
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts
| | - Bruce E. Landon
- Division of General Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts
| |
Collapse
|
15
|
Dehnavi AZ, Zhang-James Y, Draytsel D, Carguello B, Faraone SV, Weinstock RS. Association of ADHD symptoms with type 2 diabetes and cardiovascular comorbidities in adults receiving outpatient diabetes care. J Clin Transl Endocrinol 2023; 32:100318. [PMID: 37124458 PMCID: PMC10130340 DOI: 10.1016/j.jcte.2023.100318] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Revised: 03/10/2023] [Accepted: 04/05/2023] [Indexed: 05/02/2023] Open
Abstract
Background The relationship between attention-deficit/hyperactivity disorder (ADHD) symptoms and type 2 diabetes mellitus (T2D) and its cardiovascular outcomes have not been sufficiently studied. Methods 2,986 adults with T2D from the Joslin Diabetes Center at Upstate Medical University were assessed for ADHD-like symptoms, executive dysfunction, and emotional control using the Adult Self-Report Scale V1.1 (ASRS) expanded version. Surveys were sent electronically, and clinical data were obtained from the electronic medical record. Pearson chi-square test was used for categorical variables association. When ASRS scores were the dependent variable, negative binomial regression correcting for demographic variables that were associated with the ASRS scores was used. Results 155 (49.2%) of respondents met DSM-5 criteria for ADHD using the ASRS scores; Only ten (3.6%) of respondents had an ICD10 diagnosis of ADHD in their medical record; Forty-three (13.7%) had either a diagnosis of ADHD in the medical history or were taking medications used by people with ADHD. Higher levels of ADHD-like symptoms were found in patients with T2D compared with population norms. There was a modest association of the ASRS executive dysfunction subscale with overall cardiovascular comorbidities (p = 0.03). However, the p-value did not survive the multiple testing correction. Both ADHD-like symptoms and symptoms associated with emotional control, however, were not associated with specific cardiovascular diseases, hypertension, or with HbA1c, LDL-cholesterol, triglycerides, ALT, creatinine, or eGFR. Conclusion Our results suggest that adults with T2D attending a tertiary care diabetes clinic are at risk for having ADHD-like symptoms, highlighting the importance of screening for ADHD symptoms in this specialty setting and referring undiagnosed adult patients for further assessment and treatment of ADHD. Larger studies are needed to clarify the relationship between ADHD-like symptoms, executive dysfunction, and emotional control with diabetic control and comorbidities.
Collapse
Affiliation(s)
- Ali Zare Dehnavi
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Yanli Zhang-James
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, NY, USA
| | - Dan Draytsel
- Norton College of Medicine, SUNY Upstate Medical University, Syracuse, NY, USA
| | - Ben Carguello
- Norton College of Medicine, SUNY Upstate Medical University, Syracuse, NY, USA
- Department of Biotechnology, SUNY ESF, Syracuse, NY, USA
| | - Stephen V. Faraone
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, NY, USA
- Department of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, NY, USA
- Corresponding author at: SUNY Upstate Medical University, 750 East Adams St., Syracuse, NY 13210, USA.
| | - Ruth S. Weinstock
- Department of Endocrinology, Diabetes and Metabolism, SUNY Upstate Medical University, Syracuse, NY, USA
- Joslin Diabetes Center, SUNY Upstate Medical University, Syracuse, NY, USA
| |
Collapse
|
16
|
Miyazawa I, Yokoyama H, Yagi N, Araki SI, Morino K, Kume S, Shirabe S, Yamazaki K, Maegawa H. Annual trends in glycemic control and prescribing patterns in diabetic treatment according to age in Japanese patients with type 2 diabetes between 2012 and 2019 (JDDM 71). Diabetes Res Clin Pract 2023; 198:110599. [PMID: 36849048 DOI: 10.1016/j.diabres.2023.110599] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 02/12/2023] [Accepted: 02/22/2023] [Indexed: 02/27/2023]
Abstract
AIMS This study aimed to evaluate changes in glycemic control and diabetes treatment by age group in Japanese patients with type 2 diabetes. METHODS The study included the results of approximately 40,000 patients/year using cross-sectional and retrospective analyses from 2012 to 2019. RESULTS There was little change in the glycemic control status in all age groups during the study period. However, by age group, patients aged ≤ 44 years continued to have the highest glycated hemoglobinA1c (HbA1c) values during the study period (7.4 % ± 1.7 % in 2012 and 7.4 % ± 1.5 % in 2019), especially in insulin-treated patients (8.3 % ± 1.9 % in 2012 and 8.4 % ± 1.8 % in 2019). Biguanides and dipeptidyl peptidase-4 inhibitors were widely prescribed. Sulfonylurea and insulin use showed a decreasing trend, but older patients had a higher percentage of prescriptions. Sodium glucose transporter 2 inhibitors were prescribed rapidly, especially in younger patients. CONCLUSIONS There were no obvious changes in glycemic control over time in the study period. The mean HbA1c level was higher in younger patients, which suggested that improvement is required. In older patients, there was a trend toward greater emphasis on management to avoid hypoglycemia. Different treatment strategies based on age showed different drug choices.
Collapse
Affiliation(s)
- Itsuko Miyazawa
- Department of Medicine, Shiga University of Medical Science, Otsu, Shiga 520-2192, Japan; Education Center for Medicine and Nursing, Shiga University of Medical Science, Otsu, Shiga 520-2192, Japan.
| | - Hiroki Yokoyama
- Internal Medicine, Jiyugaoka Medical Clinic, Hokkaido Obihiro, Hokkaido 080-0016, Japan
| | | | - Shin-Ichi Araki
- Department of Internal Medicine, Division of Nephrology, Wakayama Medical University, Wakayama, Wakayama 641-8509, Japan
| | - Katsutaro Morino
- Department of Medicine, Shiga University of Medical Science, Otsu, Shiga 520-2192, Japan; Institutional Research Office, Shiga University of Medical Science, Otsu, Shiga 520-2192, Japan
| | - Shinji Kume
- Department of Medicine, Shiga University of Medical Science, Otsu, Shiga 520-2192, Japan
| | | | | | - Hiroshi Maegawa
- Department of Medicine, Shiga University of Medical Science, Otsu, Shiga 520-2192, Japan; Yasu City Hospital, Yasu, Shiga 520-2331, Japan
| |
Collapse
|
17
|
Horii T, Otsuka M, Yasu T. Risk of non-hypoglycemic agents for hypoglycemia-related hospitalization in patients with type 2 diabetes: a large-scale medical receipt database analysis. BMJ Open Diabetes Res Care 2023; 11:e003177. [PMID: 37085279 PMCID: PMC10124227 DOI: 10.1136/bmjdrc-2022-003177] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 03/01/2023] [Indexed: 04/23/2023] Open
Abstract
INTRODUCTION Hypoglycemia is listed as an adverse effect in the package inserts of not only hypoglycemic agents but also many other drugs. We aimed to clarify real-world factors related to an increased risk of hypoglycemia-related hospitalization (HRH) in Japanese patients with type 2 diabetes (T2D) on non-hypoglycemic agents that have been associated with hypoglycemia. RESEARCH DESIGN AND METHODS This cross-sectional study was performed using data from the Medical Data Vision administrative claims database. We identified patients with T2D who were enrolled in the database between April 2014 and October 2019. Logistic regression analyses were performed to identify clinical factors associated with HRH due to non-hypoglycemic agents. RESULTS Among 703 745 patients with T2D, 10 376 patients (1.47%) experienced HRH. The use of 332 non-hypoglycemic agents was associated with hypoglycemia. Multivariate analysis was performed to calculate OR for HRH. Seventy-five drugs had an OR greater than 1, and the values were significant. The OR was the highest for diazoxide (OR 15.5, 95% CI 4.87 to 49.3). The OR was higher than 2.0 for methylphenidate (OR 5.15, 95% CI 1.53 to 17.3), disulfiram (OR 4.21, 95% CI 2.05 to 8.62) and hydrocortisone (OR 2.89, 95% CI 1.11 to 7.51). CONCLUSION This large retrospective analysis revealed that the risk of HRH from some non-hypoglycemic agents in patients with T2D may be increased. The results of this study are expected to support treatment planning by physicians and healthcare professionals involved in diabetes care.
Collapse
Affiliation(s)
- Takeshi Horii
- Department of Pharmacy, Musashino University, Nishitokyo, Japan
| | - Mai Otsuka
- Laboratory of Pharmacy Practice and Science 1, Division of Clinical Pharmacy, Research and Education Center for Clinical Pharmacy, Kitasato University School of Pharmacy, Minato, Japan
| | - Takeo Yasu
- Department of Medicinal Therapy Research, Pharmaceutical Education and Research Center, Meiji Pharmaceutical University, Kiyose, Japan
| |
Collapse
|
18
|
Tsao CW, Aday AW, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Beaton AZ, Boehme AK, Buxton AE, Commodore-Mensah Y, Elkind MSV, Evenson KR, Eze-Nliam C, Fugar S, Generoso G, Heard DG, Hiremath S, Ho JE, Kalani R, Kazi DS, Ko D, Levine DA, Liu J, Ma J, Magnani JW, Michos ED, Mussolino ME, Navaneethan SD, Parikh NI, Poudel R, Rezk-Hanna M, Roth GA, Shah NS, St-Onge MP, Thacker EL, Virani SS, Voeks JH, Wang NY, Wong ND, Wong SS, Yaffe K, Martin SS. Heart Disease and Stroke Statistics-2023 Update: A Report From the American Heart Association. Circulation 2023; 147:e93-e621. [PMID: 36695182 DOI: 10.1161/cir.0000000000001123] [Citation(s) in RCA: 1550] [Impact Index Per Article: 1550.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
BACKGROUND The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The American Heart Association, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2023 Statistical Update is the product of a full year's worth of effort in 2022 by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. The American Heart Association strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional COVID-19 (coronavirus disease 2019) publications, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
Collapse
|
19
|
Dao L, Choi S, Freeby M. Type 2 diabetes mellitus and cognitive function: understanding the connections. Curr Opin Endocrinol Diabetes Obes 2023; 30:7-13. [PMID: 36385094 DOI: 10.1097/med.0000000000000783] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
PURPOSE OF REVIEW To review the connection between type 2 diabetes and cognitive dysfunction, including its epidemiology, potential mechanisms of pathophysiology, risk factors, possible prevention, and treatment considerations. RECENT FINDINGS Diabetes is a risk factor for mild cognitive decline, in addition to Alzheimer's disease and vascular dementia. Duration of diabetes, concomitant vascular or associated co-morbidities, hyper- and hypoglycemia may lead to worsening cognitive dysfunction. Unfortunately, there is a lack of evidence-based guidance on the prevention of cognitive dysfunction in the diabetes population. Studies of diabetes medications, including metformin, glucagon-like peptide-1 (GLP-1) receptor agonists, and sodium-glucose cotransporter-2 inhibitors (SGLT2) have shown some benefit with cardiovascular morbidity and may affect cognition. In the absence of clearly defined preventive tools, diabetes practice guidelines recommend annual cognitive screening as standard of care in adults with diabetes aged 65 years or older. SUMMARY People living with diabetes are at risk for significant decline in cognitive function. Epidemiology and risk factors are well defined. Prevention and treatment strategies are limited and require further study.
Collapse
Affiliation(s)
- Lisa Dao
- Division of Endocrinology, Diabetes and Metabolism, David Geffen School of Medicine UCLA
| | - Sarah Choi
- UCLA School of Nursing, Los Angeles, California, USA
| | - Matthew Freeby
- Division of Endocrinology, Diabetes and Metabolism, David Geffen School of Medicine UCLA
| |
Collapse
|
20
|
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: 81] [Impact Index Per Article: 81.0] [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.
Collapse
|
21
|
Herings PMR, Dyer AH, Kennelly SP, Reid S, Killane I, McKenna L, Bourke NM, Woods CP, O'Neill D, Gibney J, Reilly RB. Gait Characteristics and Cognitive Function in Middle-Aged Adults with and without Type 2 Diabetes Mellitus: Data from ENBIND. SENSORS (BASEL, SWITZERLAND) 2022; 22:5710. [PMID: 35957266 PMCID: PMC9370923 DOI: 10.3390/s22155710] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Revised: 07/20/2022] [Accepted: 07/25/2022] [Indexed: 06/15/2023]
Abstract
Type 2 Diabetes Mellitus (T2DM) in midlife is associated with a greater risk of dementia in later life. Both gait speed and spatiotemporal gait characteristics have been associated with later cognitive decline in community-dwelling older adults. Thus, the assessment of gait characteristics in uncomplicated midlife T2DM may be important in selecting-out those with T2DM at greatest risk of later cognitive decline. We assessed the relationship between Inertial Motion Unit (IMUs)-derived gait characteristics and cognitive function assessed via Montreal Cognitive Assessment (MoCA)/detailed neuropsychological assessment battery (CANTAB) in middle-aged adults with and without uncomplicated T2DM using both multivariate linear regression and a neural network approach. Gait was assessed under (i) normal walking, (ii) fast (maximal) walking and (iii) cognitive dual-task walking (reciting alternate letters of the alphabet) conditions. Overall, 138 individuals were recruited (n = 94 with T2DM; 53% female, 52.8 ± 8.3 years; n = 44 healthy controls, 43% female, 51.9 ± 8.1 years). Midlife T2DM was associated with significantly slower gait velocity on both slow and fast walks (both p < 0.01) in addition to a longer stride time and greater gait complexity during normal walk (both p < 0.05). Findings persisted following covariate adjustment. In analyzing cognitive performance, the strongest association was observed between gait velocity and global cognitive function (MoCA). Significant associations were also observed between immediate/delayed memory performance and gait velocity. Analysis using a neural network approach did not outperform multivariate linear regression in predicting cognitive function (MoCA) from gait velocity. Our study demonstrates the impact of uncomplicated T2DM on gait speed and gait characteristics in midlife, in addition to the striking relationship between gait characteristics and global cognitive function/memory performance in midlife. Further studies are needed to evaluate the longitudinal relationship between midlife gait characteristics and later cognitive decline, which may aid in selecting-out those with T2DM at greatest-risk for preventative interventions.
Collapse
Affiliation(s)
- Pieter M R Herings
- School of Engineering, Trinity College Dublin, D08 XW7X Dublin, Ireland
- Trinity Centre for Biomedical Engineering, Trinity College Dublin, D02 R590 Dublin, Ireland
| | - Adam H Dyer
- Department of Medical Gerontology, School of Medicine, Trinity College Dublin, D02 R590 Dublin, Ireland
- Department of Age-Related Healthcare, Tallaght University Hospital, D24 NR0A Dublin, Ireland
| | - Sean P Kennelly
- Department of Medical Gerontology, School of Medicine, Trinity College Dublin, D02 R590 Dublin, Ireland
- Department of Age-Related Healthcare, Tallaght University Hospital, D24 NR0A Dublin, Ireland
| | - Sean Reid
- School of Engineering, Trinity College Dublin, D08 XW7X Dublin, Ireland
- Trinity Centre for Biomedical Engineering, Trinity College Dublin, D02 R590 Dublin, Ireland
| | - Isabelle Killane
- Department of Engineering, Technological University Dublin, D07 EWV4 Dublin, Ireland
| | - Louise McKenna
- Department of Age-Related Healthcare, Tallaght University Hospital, D24 NR0A Dublin, Ireland
| | - Nollaig M Bourke
- Department of Medical Gerontology, School of Medicine, Trinity College Dublin, D02 R590 Dublin, Ireland
| | - Conor P Woods
- Robert Graves Institute of Endocrinology, Tallaght University Hospital, D24 NR0A Dublin, Ireland
| | - Desmond O'Neill
- Department of Medical Gerontology, School of Medicine, Trinity College Dublin, D02 R590 Dublin, Ireland
- Department of Age-Related Healthcare, Tallaght University Hospital, D24 NR0A Dublin, Ireland
| | - James Gibney
- Robert Graves Institute of Endocrinology, Tallaght University Hospital, D24 NR0A Dublin, Ireland
| | - Richard B Reilly
- School of Engineering, Trinity College Dublin, D08 XW7X Dublin, Ireland
- Trinity Centre for Biomedical Engineering, Trinity College Dublin, D02 R590 Dublin, Ireland
- Department of Medical Gerontology, School of Medicine, Trinity College Dublin, D02 R590 Dublin, Ireland
| |
Collapse
|
22
|
Zhu X, Xing P, Zhang P, Zhang M, Shen H, Chen L, Shen F, Jiang Y, Yuan H, Zhang L, Wang J, Wu X, Zhou Y, Wu T, Deng B, Liu J, Zhang Y, Yang P. Fine-tuning of microglia polarization prevents diabetes-associated cerebral atherosclerosis. Front Immunol 2022; 13:948457. [PMID: 35935990 PMCID: PMC9353938 DOI: 10.3389/fimmu.2022.948457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Accepted: 06/29/2022] [Indexed: 11/29/2022] Open
Abstract
Diabetes increases the occurrence and severity of atherosclerosis. When plaques form in brain vessels, cerebral atherosclerosis causes thickness, rigidity, and unstableness of cerebral artery walls, leading to severe complications like stroke and contributing to cognitive impairment. So far, the molecular mechanism underlying cerebral atherosclerosis is not determined. Moreover, effective intervention strategies are lacking. In this study, we showed that polarization of microglia, the resident macrophage in the central nervous system, appeared to play a critical role in the pathological progression of cerebral atherosclerosis. Microglia likely underwent an M2c-like polarization in an environment long exposed to high glucose. Experimental suppression of microglia M2c polarization was achieved through transduction of microglia with an adeno-associated virus (serotype AAV-PHP.B) carrying siRNA for interleukin-10 (IL-10) under the control of a microglia-specific TMEM119 promoter, which significantly attenuated diabetes-associated cerebral atherosclerosis in a mouse model. Thus, our study suggests a novel translational strategy to prevent diabetes-associated cerebral atherosclerosis through in vivo control of microglia polarization.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Pengfei Yang
- *Correspondence: Yongwei Zhang, ; Pengfei Yang, ;
| |
Collapse
|
23
|
Tan X, Wu J, Ma X, Kang S, Yue X, Rao Y, Li Y, Huang H, Chen Y, Lyu W, Qin C, Li M, Feng Y, Liang Y, Qiu S. Convolutional Neural Networks for Classification of T2DM Cognitive Impairment Based on Whole Brain Structural Features. Front Neurosci 2022; 16:926486. [PMID: 35928014 PMCID: PMC9344913 DOI: 10.3389/fnins.2022.926486] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Accepted: 06/22/2022] [Indexed: 11/18/2022] Open
Abstract
Purpose Cognitive impairment is generally found in individuals with type 2 diabetes mellitus (T2DM). Although they may not have visible symptoms of cognitive impairment in the early stages of the disorder, they are considered to be at high risk. Therefore, the classification of these patients is important for preventing the progression of cognitive impairment. Methods In this study, a convolutional neural network was used to construct a model for classifying 107 T2DM patients with and without cognitive impairment based on T1-weighted structural MRI. The Montreal cognitive assessment score served as an index of the cognitive status of the patients. Results The classifier could identify T2DM-related cognitive decline with a classification accuracy of 84.85% and achieved an area under the curve of 92.65%. Conclusions The model can help clinicians analyze and predict cognitive impairment in patients and enable early treatment.
Collapse
Affiliation(s)
- Xin Tan
- First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China
- Medical Imaging Center, First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Jinjian Wu
- First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Xiaomeng Ma
- First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Shangyu Kang
- First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Xiaomei Yue
- First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yawen Rao
- First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yifan Li
- First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Haoming Huang
- Medical Imaging Center, First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yuna Chen
- Medical Imaging Center, First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Wenjiao Lyu
- First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Chunhong Qin
- Medical Imaging Center, First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Mingrui Li
- First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yue Feng
- First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yi Liang
- Medical Imaging Center, First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
- Yi Liang
| | - Shijun Qiu
- Medical Imaging Center, First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
- *Correspondence: Shijun Qiu
| |
Collapse
|
24
|
Alam AB, Lutsey PL, Chen LY, MacLehose RF, Shao IY, Alonso A. Risk Factors for Dementia in Patients With Atrial Fibrillation. Am J Cardiol 2022; 174:48-52. [PMID: 35473779 DOI: 10.1016/j.amjcard.2022.03.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Revised: 02/26/2022] [Accepted: 03/02/2022] [Indexed: 11/26/2022]
Abstract
Although dementia and atrial fibrillation (AF) are common in older adults, risk factors for dementia have not been sufficiently characterized in patients with AF. We studied 621,773 patients with AF without dementia at the time of AF diagnosis who were enrolled in the MarketScan Commercial and Medicare Supplemental databases from 2007 to 2015. Dementia incidence and presence of predictors at the time of AF diagnosis (cardiometabolic conditions, mental and neurologic disorders, and other chronic conditions) were based on International Classification of Diseases, Ninth Revision, Clinical Modification codes in outpatient and inpatient claims, whereas medication usage was based on outpatient pharmacy claims. A frailty score was calculated using a previously established algorithm. The associations between the predictors of interest and dementia were assessed with multivariable Cox models. Patients had a mean age of 68 years (SD 14 years) and 41% were women. During a mean follow-up of 2.0 years, there were 16,073 cases of dementia. The strongest predictors of dementia were frailty (hazard ratio [HR] 1.43, 95% confidence interval [CI] 1.40 to 1.45, per 1-SD increase in the score), cognitive impairment (HR 1.50, 95% CI 1.36 to 1.65), mood disorders (HR 1.49, 95% CI 1.32 to 1.70), schizophrenia (HR 1.86, 95% CI 1.75 to 1.98), and substance abuse (HR 1.58, 95% CI 1.39 to 1.80). Among cardiometabolic conditions, only stroke (HR 1.17, 95% CI 1.13 to 1.22) and diabetes mellitus (HR 1.14, 95% CI 1.11 to 1.18) were associated with small increases in dementia risk after adjusting for demographics, frailty, co-morbidities, and medications. We have identified several risk factors for dementia in patients with AF.
Collapse
|
25
|
Harris SB, Parente EB, Karalliedde J. Clinical Use of Insulin Glargine 300 U/mL in Adults with Type 2 Diabetes: Hypothetical Case Studies. Diabetes Ther 2022; 13:913-930. [PMID: 35355207 PMCID: PMC9373591 DOI: 10.1007/s13300-022-01247-7] [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: 10/28/2021] [Accepted: 12/23/2021] [Indexed: 11/03/2022] Open
Abstract
Type 2 diabetes (T2D) is a progressive disease, with many individuals eventually requiring basal insulin therapy to maintain glycaemic control. However, there exists considerable therapeutic inertia to the prompt initiation and optimal titration of basal insulin therapy due to barriers that include fear of injections, hypoglycaemia, weight gain, and burdensome regimens. Hypoglycaemia is thought to be a major barrier to optimal glycaemic control and is associated with significant morbidity and mortality. Newer second-generation basal insulin analogues provide comparable glycaemic control with lower risk of hypoglycaemia compared with first-generation basal insulin analogues. The present review article discusses clinical evidence for one such second-generation basal insulin analogue, insulin glargine 300 U/mL (Gla-300), in the context of hypothetical case studies that are representative of individuals who may attend routine clinical practice. These case studies discuss individualised treatment needs for people with T2D who are insulin-naïve or pre-treated. Clinical characteristics such as older age, frequent nocturnal hypoglycaemia, and renal impairment, which are known risk factors for hypoglycaemia, are also considered.
Collapse
Affiliation(s)
- Stewart B Harris
- Schulich School of Medicine & Dentistry at The University of Western Ontario, in London, 1151 Richmond St, London, ON, N6A 5C1, Canada.
| | - Erika B Parente
- Folkhälsan Research Center, Helsinki, Finland
- Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Janaka Karalliedde
- School of Cardiovascular Medicine & Sciences, King's College London, London, UK
| |
Collapse
|
26
|
Yang Y, Zhao JJ, Yu XF. Expert Consensus on Cognitive Dysfunction in Diabetes. Curr Med Sci 2022; 42:286-303. [PMID: 35290601 DOI: 10.1007/s11596-022-2549-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 02/02/2022] [Indexed: 12/14/2022]
Abstract
The incidence of diabetes is gradually increasing in China, and diabetes and associated complications, such as cognitive dysfunction have gained much attention in recent time. However, the concepts, clinical treatment, and prevention of cognitive dysfunction in patients with diabetes remain unclear. The Chinese Society of Endocrinology investigated the current national and overseas situation of cognitive dysfunction associated with diabetes. Based on research both in China and other countries worldwide, the Expert Consensus on Cognitive Dysfunction in Diabetes was established to guide physicians in the comprehensive standardized management of cognitive dysfunction in diabetes and to improve clinical outcomes in Chinese patients. This consensus presents an overview, definition and classification, epidemiology and pathogenesis, risk factors, screening, diagnosis, differential diagnosis, treatment, and prevention of cognitive dysfunction in patients with diabetes.
Collapse
Affiliation(s)
- Yan Yang
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Jia-Jun Zhao
- Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, 25000, China.
| | - Xue-Feng Yu
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
| |
Collapse
|
27
|
Faaitiiti KL, Jupiter DC. Diabetes-Specific Dementia: A Structured Literature Review of Cognitive Assessment Methods. J Foot Ankle Surg 2022; 61:401-409. [PMID: 34893425 PMCID: PMC8936078 DOI: 10.1053/j.jfas.2021.11.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Accepted: 11/08/2021] [Indexed: 02/03/2023]
Abstract
Diabetes mellitus is a known risk factor for the development of multiple subtypes of dementia and mild cognitive impairment. Recent research identifies a cause-specific diabetes-related dementia with a unique set of characteristics. Currently, there is no standard cognitive assessment battery recommended to specifically assess dementia that is a direct consequence of chronic diabetes, and some evaluations have been used for decades with minimal revisions, regardless of appropriateness. We performed a systematic review of the dementia/cognition evaluation methods most commonly used in the literature for assessing diabetic patients and identified which cognitive domains are typically assessed in this setting, and whether cognitive changes were more reflective of a vascular pathology, Alzheimer's pathology, or something else entirely. Search results yielded 1089 articles. After screening for appropriateness, a total of 11 full-text articles were assessed. In general, subjects in the reviewed studies were assessed using a variety of testing methods, examining different combinations of cognitive domains. A standard, clear definition of which cognitive domains are the most important to assess in diabetic patients is needed in order to determine what combination of assessment tools are most pertinent. Given the growing subset of the US population, careful reconsideration of cognitive assessment methods is needed to create self-care plans that take into account a specific collection of cognitive challenges for those with diabetes.
Collapse
Affiliation(s)
- Kelli L Faaitiiti
- Medical Student, School of Medicine, The University of Texas Medical Branch, Galveston, TX
| | - Daniel C Jupiter
- Associate Professor, Department of Preventive Medicine and Population Health, The University of Texas Medical Branch, Galveston, TX; Associate Professor, Department of Orthopaedic Surgery and Rehabilitation, The University of Texas Medical Branch, Galveston, TX.
| |
Collapse
|
28
|
Tsao CW, Aday AW, Almarzooq ZI, Alonso A, Beaton AZ, Bittencourt MS, Boehme AK, Buxton AE, Carson AP, Commodore-Mensah Y, Elkind MSV, Evenson KR, Eze-Nliam C, Ferguson JF, Generoso G, Ho JE, Kalani R, Khan SS, Kissela BM, Knutson KL, Levine DA, Lewis TT, Liu J, Loop MS, Ma J, Mussolino ME, Navaneethan SD, Perak AM, Poudel R, Rezk-Hanna M, Roth GA, Schroeder EB, Shah SH, Thacker EL, VanWagner LB, Virani SS, Voecks JH, Wang NY, Yaffe K, Martin SS. Heart Disease and Stroke Statistics-2022 Update: A Report From the American Heart Association. Circulation 2022; 145:e153-e639. [PMID: 35078371 DOI: 10.1161/cir.0000000000001052] [Citation(s) in RCA: 2700] [Impact Index Per Article: 1350.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
BACKGROUND The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2022 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population and an enhanced focus on social determinants of health, adverse pregnancy outcomes, vascular contributions to brain health, and the global burden of cardiovascular disease and healthy life expectancy. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
Collapse
|
29
|
Huang L, Zhu M, Ji J. Association between hypoglycemia and dementia in patients with diabetes: a systematic review and meta-analysis of 1.4 million patients. Diabetol Metab Syndr 2022; 14:31. [PMID: 35164844 PMCID: PMC8842524 DOI: 10.1186/s13098-022-00799-9] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 01/24/2022] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Diabetes mellitus (DM) is known to be a risk factor for dementia. However, it is unclear if hypoglycemic events play a role in the risk of dementia. We aimed to systematically review evidence on the risk of dementia in DM patients based on prior hypoglycemic events. METHODS PubMed, Embase, ScienceDirect, CENTRAL, and Google Scholar databases were searched till 15th November 2021 for cohort studies assessing the risk of dementia based on prior hypoglycemic events in DM patients. Adjusted data were pooled in a random-effects model. RESULTS Ten studies with a total of 1,407,643 patients were included. Pooled analysis of all ten studies indicated that hypoglycemic episodes were associated with a statistically significant increase in the risk of dementia in DM patients as compared to those not experiencing hypoglycemic episodes (HR: 1.44 95% CI: 1.26, 1.65 I2 = 89% p < 0.00001). The results did not change on the exclusion of any study. Sub-group analysis based on the study population, type of study, adjustment for glycated hemoglobin, gender, and the number of hypoglycemic episodes also presented similar results. CONCLUSIONS Evidence from observational studies with a large sample size indicates that DM patients with hypoglycemic episodes are at increased risk of dementia. Anti-hyperglycemic drugs should be adequately tailored in these patients to avoid the risk of dementia.
Collapse
Affiliation(s)
- Lifen Huang
- Department of Geriatrics, Lishui Second People's Hospital, Lishui, China
| | - Manlian Zhu
- Department of Geriatrics, Lishui Second People's Hospital, Lishui, China
| | - Jie Ji
- Department of Geriatrics, Lishui Second People's Hospital, Lishui, China.
- Department of Rehabilitation, Lishui Second People's Hospital, Fifth floor, Rehabilitation Building, 69 Huan North Road, Lishui, China.
| |
Collapse
|
30
|
Reinke C, Buchmann N, Fink A, Tegeler C, Demuth I, Doblhammer G. Diabetes duration and the risk of dementia: a cohort study based on German health claims data. Age Ageing 2022; 51:6454655. [PMID: 34923587 PMCID: PMC8753043 DOI: 10.1093/ageing/afab231] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 09/14/2021] [Indexed: 01/21/2023] Open
Abstract
Objective Diabetes is a risk factor for dementia but little is known about the impact of diabetes duration on the risk of dementia. We investigated the effect of type 2 diabetes duration on the risk of dementia. Design Prospective cohort study using health claims data representative for the older German population. The data contain information about diagnoses and medical prescriptions from the in- and outpatient sector. Methods We performed piecewise exponential models with a linear and a quadratic term for time since first type 2 diabetes diagnosis to predict the dementia risk in a sample of 13,761 subjects (2,558 dementia cases) older than 65 years. We controlled for severity of diabetes using the Adopted Diabetes Complications Severity Index. Results We found a U-shaped dementia risk over time. After type 2 diabetes diagnosis the dementia risk decreased (26% after 1 year) and reached a minimum at 4.75 years, followed by an increase through the end of follow-up. The pattern was consistent over different treatment groups, with the strongest U-shape for insulin treatment and for those with diabetes complications at the time of diabetes diagnosis. Conclusions We identified a non-linear association of type 2 diabetes duration and the risk of dementia. Physicians should closely monitor cognitive function in diabetic patients beyond the first few years after diagnosis, because the later increase in dementia occurred in all treatment groups.
Collapse
Affiliation(s)
- Constantin Reinke
- Institute for Sociology and Demography, University of Rostock, 18057 Rostock, Germany
| | - Nikolaus Buchmann
- Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Endocrinology and Metabolic Diseases (including Division of Lipid Metabolism), Biology of Aging working group, 13353 Berlin, Germany
| | - Anne Fink
- German Center for Neurodegenerative Diseases, 53127 Bonn, Germany
| | - Christina Tegeler
- Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Endocrinology and Metabolic Diseases (including Division of Lipid Metabolism), Biology of Aging working group, 13353 Berlin, Germany
- MSB Medical School Berlin, Department of Psychology, 14197 Berlin, Germany
| | - Ilja Demuth
- Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Endocrinology and Metabolic Diseases (including Division of Lipid Metabolism), Biology of Aging working group, 13353 Berlin, Germany
- Berlin Institute of Health at Charité – Universitätsmedizin Berlin, BCRT - Berlin Institute of Health Center for Regenerative Therapies, Berlin, Germany
| | - Gabriele Doblhammer
- Institute for Sociology and Demography, University of Rostock, 18057 Rostock, Germany
- German Center for Neurodegenerative Diseases, 53127 Bonn, Germany
| |
Collapse
|
31
|
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.
Collapse
|
32
|
Lin L, Wu Y, Chen Z, Huang L, Wang L, Liu L. Severe Hypoglycemia Contributing to Cognitive Dysfunction in Diabetic Mice Is Associated With Pericyte and Blood-Brain Barrier Dysfunction. Front Aging Neurosci 2021; 13:775244. [PMID: 34899278 PMCID: PMC8662820 DOI: 10.3389/fnagi.2021.775244] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 11/01/2021] [Indexed: 11/24/2022] Open
Abstract
Background: Severe hypoglycemia can cause cognitive impairment in diabetic patients, but the underlying molecular mechanism remains unclear. Objective: To assess the effect of severe hypoglycemia on cognitive function in diabetic mice to clarify the relationship between the mechanism and dysfunction of pericytes and the blood–brain barrier (BBB). Method: We established type 1 diabetes mellitus in 80 male C57BL/6J mice by intraperitoneal injection of streptozotocin (150 mg/kg). Further intraperitoneal injection of short-acting insulin induced severe hypoglycemia. The mice were divided into normal, diabetes, and diabetic + severe hypoglycemia groups, and their blood glucose and general weight index were examined. Pericyte and BBB morphology and function were detected by histological and western blot analyses, BBB permeability was detected by Evans blue staining, and cognitive function was detected with the Morris water maze. Results: Severe hypoglycemia aggravated the histological damage, BBB damage, brain edema, and pericyte loss in the diabetic mice. It also reduced the expression of the BBB tight junction proteins occludin and claudin-5, the expression of the pericyte-specific markers PDGFR-β (platelet-derived growth factor receptor-β) and α-SMA, and increased the expression of the inflammatory factor MMP9. At the same time, diabetic mice with severe hypoglycemia had significantly reduced cognitive function. Conclusion: Severe hypoglycemia leads to cognitive dysfunction in diabetic mice, and its possible mechanism is related to pericyte dysfunction and BBB destruction.
Collapse
Affiliation(s)
- Lu Lin
- Department of Endocrinology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Yubin Wu
- Department of Endocrinology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Zhou Chen
- Department of Clinical Pharmacy and Pharmacy Administration, School of Pharmacy, Fujian Medical University, Fuzhou, China
| | - Lishan Huang
- Department of Endocrinology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Lijing Wang
- Department of Endocrinology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Libin Liu
- Department of Endocrinology, Fujian Medical University Union Hospital, Fuzhou, China
| |
Collapse
|
33
|
Piro S, Purrello F. Acute diabetes complications. JOURNAL OF GERONTOLOGY AND GERIATRICS 2021. [DOI: 10.36150/2499-6564-n457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
|
34
|
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: 2.3] [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.
Collapse
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.
| |
Collapse
|
35
|
Li FR, Yang HL, Zhou R, Zheng JZ, Chen GC, Wu XX, Zou MC, Wang JY, Fu Q, Wu XB. Influence of Diabetes Duration and Glycemic Control on Dementia: A Cohort Study. J Gerontol A Biol Sci Med Sci 2021; 76:2062-2070. [PMID: 34331763 DOI: 10.1093/gerona/glab221] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND To investigate the influence of diabetes duration and glycemic control, assessed by glycated hemoglobin (HbA1c) levels, on risk of incident dementia. METHODS The present study is a prospective study of 461,563 participants from the UK Biobank. The age at diabetes diagnosis was determined by self-report. Diabetes duration was calculated as baseline age minus age at diagnosis. Cox proportional hazards regression models were used to estimate hazard ratios (HRs) with 95% confidential intervals (CIs). RESULTS During a median follow-up of 8.1 y, 2,233 dementia cases were recorded. As compared with normoglycemic individuals, individuals with diabetes had higher risk of all-cause dementia, and the risk increased with increasing duration of diabetes; compared with participants with diabetes duration of <5 y, the multivariable-adjusted HRs (95% CIs) were 1.49 (1.12-1.97), 1.71 (1.21-2.41), and 2.15 (1.60-2.90) for those with diabetes durations ≥5 to < 10, ≥10 to <15, and ≥ 15 y, respectively (P for trend < 0.001). Among participants with diabetes, those with both longer diabetes duration (diabetes duration ≥10 y) and poor glycemic control (HbA1c ≥8%) had the highest risk of All-cause dementia (multivariable-adjusted HR =2.07, 95% CI 1.45, 2.94), compared with patients with shorter duration of diabetes and better glycemic control (diabetes duration <10 y and HbA1c <8%). CONCLUSIONS Diabetes duration appeared to be associated with the risk of incident dementia due to factors beyond glycemic control. Clinicians should consider not only glycemic control but also diabetes duration in dementia risk assessments for patients with diabetes.
Collapse
Affiliation(s)
- Fu-Rong Li
- Department of Epidemiology, School of Public Health (Guangdong Provincial Key Laboratory of Tropical Disease Research), Southern Medical University, Guangzhou, Guangdong, China
| | - Hai-Lian Yang
- Department of Epidemiology, School of Public Health (Guangdong Provincial Key Laboratory of Tropical Disease Research), Southern Medical University, Guangzhou, Guangdong, China
| | - Rui Zhou
- Department of Epidemiology, School of Public Health (Guangdong Provincial Key Laboratory of Tropical Disease Research), Southern Medical University, Guangzhou, Guangdong, China
| | - Jia-Zhen Zheng
- Department of Epidemiology, School of Public Health (Guangdong Provincial Key Laboratory of Tropical Disease Research), Southern Medical University, Guangzhou, Guangdong, China
| | - Guo-Chong Chen
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Ave, Bronx, NY, USA
| | - Xiao-Xiang Wu
- Department of General Surgery, 157th Hospital, General Hospital of Guangzhou Military Command, Guangzhou, China
| | - Meng-Chen Zou
- Department of Endocrinology and Metabolism, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Jing-Ya Wang
- Institute of Applied Health Research, University of Birmingham, United Kingdom
| | - Qiang Fu
- Department of Epidemiology and Biostatistics, College for Public Health and Social Justice, Saint Louis University, St. Louis, Missouri, USA
| | - Xian-Bo Wu
- Department of Epidemiology, School of Public Health (Guangdong Provincial Key Laboratory of Tropical Disease Research), Southern Medical University, Guangzhou, Guangdong, China
| |
Collapse
|
36
|
Mangé AS, Pagès A, Sourdet S, Cestac P, McCambridge C. Diabetes and Frail Older Patients: Glycemic Control and Prescription Profile in Real Life. PHARMACY 2021; 9:pharmacy9030115. [PMID: 34206422 PMCID: PMC8293379 DOI: 10.3390/pharmacy9030115] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 06/17/2021] [Accepted: 06/17/2021] [Indexed: 01/06/2023] Open
Abstract
(1) Background: The latest recommendations for diabetes management adapt the objectives of glycemic control to the frailty profile in older patients. The purpose of this study was to evaluate the proportion of older patients with diabetes whose treatment deviates from the recommendations. (2) Methods: This cross-sectional observational study was conducted in older adults with known diabetes who underwent an outpatient frailty assessment in 2016. Glycated hemoglobin (HbA1c) target is between 6% and 7% for nonfrail patients and between 7% and 8% for frail patients. Frailty was evaluated using the Fried criteria. Prescriptions of glucose-lowering drugs were analyzed based on explicit and implicit criteria. (3) Results: Of 110 people with diabetes with an average age of 81.7 years, 67.3% were frail. They had a mean HbA1c of 7.11%. Of these patients, 60.9% had at least one drug therapy problem in their diabetes management and 40.9% were potentially overtreated. The HbA1c distribution in relation to the targets varied depending on frailty status (p < 0.002), with overly strict control in frail patients (p < 0.001). (4) Conclusions: Glycemic control does not seem to be routinely adjusted to the health of frail patients. Several factors can lead to overtreatment of these patients.
Collapse
Affiliation(s)
- Anne-Sophie Mangé
- Department of Pharmacy, Toulouse University Hospital, UPS Toulouse III Paul Sabatier University, 31000 Toulouse, France; (A.-S.M.); (P.C.); (C.M.)
| | - Arnaud Pagès
- Department of Pharmacy, Toulouse University Hospital, UPS Toulouse III Paul Sabatier University, 31000 Toulouse, France; (A.-S.M.); (P.C.); (C.M.)
- UMR 1027, Inserm, UPS Toulouse III Paul Sabatier University, 31000 Toulouse, France
- INSPIRE Project, Institute of Aging, Gérontopôle, Toulouse University Hospital, UPS Toulouse III Paul Sabatier University, 31000 Toulouse, France
- Correspondence: ; Tel.: +33-567-776-418
| | - Sandrine Sourdet
- Geriatric Department, Toulouse University Hospital, UPS Toulouse III Paul Sabatier University, 31000 Toulouse, France;
| | - Philippe Cestac
- Department of Pharmacy, Toulouse University Hospital, UPS Toulouse III Paul Sabatier University, 31000 Toulouse, France; (A.-S.M.); (P.C.); (C.M.)
- UMR 1027, Inserm, UPS Toulouse III Paul Sabatier University, 31000 Toulouse, France
| | - Cécile McCambridge
- Department of Pharmacy, Toulouse University Hospital, UPS Toulouse III Paul Sabatier University, 31000 Toulouse, France; (A.-S.M.); (P.C.); (C.M.)
| |
Collapse
|
37
|
Biessels GJ, Verhagen C, Janssen J, van den Berg E, Wallenstein G, Zinman B, Espeland MA, Johansen OE. Effects of linagliptin vs glimepiride on cognitive performance in type 2 diabetes: results of the randomised double-blind, active-controlled CAROLINA-COGNITION study. Diabetologia 2021; 64:1235-1245. [PMID: 33559704 PMCID: PMC8099814 DOI: 10.1007/s00125-021-05393-8] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Accepted: 12/11/2020] [Indexed: 01/27/2023]
Abstract
AIMS/HYPOTHESIS Type 2 diabetes, particularly with concomitant CVD, is associated with an increased risk of cognitive impairment. We assessed the effect on accelerated cognitive decline (ACD) of the DPP-4 inhibitor linagliptin vs the sulfonylurea glimepiride in individuals with type 2 diabetes. METHODS The CAROLINA-COGNITION study was part of the randomised, double-blind, active-controlled CAROLINA trial that evaluated the cardiovascular safety of linagliptin vs glimepiride in individuals with age ≥40 and ≤85 years and HbA1c 48-69 mmol/mol (6.5-8.5%) receiving standard care, excluding insulin therapy. Participants were randomised 1:1 using an interactive telephone- and web-based system and treatment assignment was determined by a computer-generated random sequence with stratification by center. The primary cognitive outcome was occurrence of ACD at end of follow-up, defined as a regression-based index score ≤16th percentile on either the Mini-Mental State Examination (MMSE) or a composite measure of attention and executive functioning, in participants with a baseline MMSE score ≥24. Prespecified additional analyses included effects on ACD at week 160, in subgroups (sex, age, race, ethnicity, depressive symptoms, cardiovascular risk, duration of type 2 diabetes, albuminuria), and absolute changes in cognitive performance. Participants, caregivers, and people involved in measurements, examinations or adjudication, were all masked to treatment assignment. RESULTS Of 6033 participants recruited from hospital and primary care sites, 3163 (38.0% female, mean age/diabetes duration 64/7.6 years, MMSE score 28.5, HbA1c 54 mmol/mol [7.1%]) represent the CAROLINA-COGNITION cohort. Over median 6.1 years, ACD occurred in 27.8% (449/1618, linagliptin) vs 27.6% (426/1545, glimepiride), OR 1.01 (95% CI 0.86, 1.18). Also, no differences in ACD were observed at week 160 (OR 1.07 [0.91, 1.25]), between treatments across subgroups, or for absolute cognitive changes. CONCLUSIONS/INTERPRETATION In a large, international outcome trial in people with relatively early type 2 diabetes at elevated cardiovascular risk, no difference in risk for ACD was observed between linagliptin and glimepiride over 6.1 years. FUNDING This study was sponsored by Boehringer Ingelheim. TRIAL REGISTRATION ClinicalTrials.gov NCT01243424.
Collapse
Affiliation(s)
- Geert Jan Biessels
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands.
| | - Chloë Verhagen
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Jolien Janssen
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Esther van den Berg
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands
- Department of Neurology, Erasmus MC - University Medical Center, Rotterdam, the Netherlands
| | - Gudrun Wallenstein
- Biostatistics and Data Sciences, Boehringer Ingelheim, Ingelheim, Germany
| | - Bernard Zinman
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, Canada
| | - Mark A Espeland
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Odd Erik Johansen
- Therapeutic Area Cardiometabolism, Boehringer Ingelheim, Asker, Norway.
| |
Collapse
|
38
|
Almomani HY, Pascual CR, Al-Azzam SI, Ahmadi K. Randomised controlled trial of pharmacist-led patient counselling in controlling hypoglycaemic attacks in older adults with type 2 diabetes mellitus (ROSE-ADAM): A study protocol of the SUGAR intervention. Res Social Adm Pharm 2021; 17:885-893. [PMID: 32763086 PMCID: PMC7387288 DOI: 10.1016/j.sapharm.2020.07.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Accepted: 07/11/2020] [Indexed: 11/01/2022]
Abstract
INTRODUCTION Hypoglycaemia is one of the most serious adverse effects of diabetes treatment. Older adults are at the highest risk to develop hypoglycaemia. Several studies have established the important positive role of educational interventions on achieving glycaemic control and other clinical outcomes, however, there is still a lack in studies that evaluate the impact of such type of interventions on hypoglycaemia risk in elderly patients with type 2 diabetes. The purpose of this research is to evaluate the effectiveness of pharmacist-led patient counselling on reducing hypoglycaemic attacks in older adults with type 2 diabetes mellitus. METHODS and analysis: This study is an open-label, parallel controlled randomised trial, which will be conducted in the outpatient clinics at the largest referral hospital in the north of Jordan. Participants who are elderly (age ≥ 65 years), diagnosed with type 2 diabetes mellitus, and taking insulin, sulfonylurea, or any three anti-diabetic medications will be randomly assigned to intervention (SUGAR Handshake) and control (usual care) groups. The SUGAR Handshake participants will have an interactive, individualised, medications-focused counselling session reinforced with a pictogram and a phone call at week six of enrolment. The primary outcome measure is the frequency of total hypoglycaemic events within 12 weeks of follow up. Secondary outcomes include the frequency of asymptomatic, symptomatic, and severe hypoglycaemic events, hypoglycaemia incidence, and time to the first hypoglycaemic attack. We will also conduct a nested qualitative study for process evaluation. ETHICS AND DISSEMINATION The Human Research Ethics Committee of the University of Lincoln and the Institutional Review Board of King Abdullah University Hospital approved this protocol. The findings of this study will be presented in international conferences and published in a peer-reviewed journal. TRIAL REGISTRATION NUMBER The study protocol has been registered with ClinicalTrials.gov, NCT04081766.
Collapse
Affiliation(s)
- Huda Y Almomani
- School of Pharmacy, University of Lincoln, LN6 7DL, Lincoln, UK.
| | | | - Sayer I Al-Azzam
- Faculty of Pharmacy, Jordan University of Science and Technology, Irbid, 22110, Jordan
| | - Keivan Ahmadi
- Lincoln Medical School, Universities of Nottingham and Lincoln, University of Lincoln, LN6 7TS, Lincoln, UK
| |
Collapse
|
39
|
Makino K, Lee S, Bae S, Chiba I, Harada K, Katayama O, Shinkai Y, Makizako H, Shimada H. Diabetes and Prediabetes Inhibit Reversion from Mild Cognitive Impairment to Normal Cognition. J Am Med Dir Assoc 2021; 22:1912-1918.e2. [PMID: 33798483 DOI: 10.1016/j.jamda.2021.02.033] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 02/12/2021] [Accepted: 02/19/2021] [Indexed: 12/17/2022]
Abstract
OBJECTIVES Diabetes and prediabetes contribute to an increased risk of cognitive decline and dementia. Currently, it remains unclear whether elevated blood HbA1c levels, including prediabetes levels, affect reversion from mild cognitive impairment (MCI) to normal cognition. This study, therefore, aimed to examine the prospective associations of diabetes and prediabetes with reversion from MCI to normal cognition among community-dwelling older adults. DESIGN Longitudinal cohort study with a 4-year follow-up. SETTING AND PARTICIPANTS Community-dwelling older adults with MCI, aged ≥65 years at baseline (n = 787). METHODS Participants' medical history of diabetes and blood HbA1c levels at baseline were assessed, and they were classified as control, prediabetes, and diabetes. Objective cognitive screening was performed using a multicomponent neurocognitive test at baseline and follow-up. Reversion from MCI to normal cognition over 4 years was determined. In the longitudinal analysis, we performed multiple imputations to adjust for a selection bias and loss of information. RESULTS The reversion rates of MCI in the control, prediabetes, and diabetes groups were 63.4%, 55.6%, and 42.9%, respectively, in the completed follow-up dataset, and 54.6%, 47.2%, and 34.1%, respectively, in the imputed dataset. Multivariate logistic regression showed that diabetes decreases the probability of MCI reversion both before and after multiple imputations [odds ratio (OR) 0.37; 95% confidence interval (CI) 0.18-0.74 for before imputation, OR 0.37; 95% CI 0.19-0.72 for after imputation]. Furthermore, prediabetes also showed significantly decreased probabilities of MCI reversion both before and after multiple imputations (OR 0.57; 95% CI 0.34-0.94 for before imputation, OR 0.60; 95% CI 0.37-0.97 for after imputation). CONCLUSIONS AND IMPLICATIONS Diabetes and prediabetes could inhibit MCI reversion. Adequate glycemic control may be effective in enhancing the reversion from MCI to normal cognition in a community setting.
Collapse
Affiliation(s)
- Keitaro Makino
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Obu City, Aichi, Japan; Japan Society for the Promotion of Science, Chiyoda-ku, Tokyo, Japan.
| | - Sangyoon Lee
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Obu City, Aichi, Japan
| | - Seongryu Bae
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Obu City, Aichi, Japan
| | - Ippei Chiba
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Obu City, Aichi, Japan
| | - Kenji Harada
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Obu City, Aichi, Japan
| | - Osamu Katayama
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Obu City, Aichi, Japan
| | - Yohei Shinkai
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Obu City, Aichi, Japan
| | - Hyuma Makizako
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Obu City, Aichi, Japan; Department of Physical Therapy, School of Health Sciences, Faculty of Medicine, Kagoshima University, Kagoshima, Japan
| | - Hiroyuki Shimada
- Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Obu City, Aichi, Japan
| |
Collapse
|
40
|
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/dc21-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/dc21-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
Collapse
|
41
|
Gentile S, Guarino G, Della Corte T, Marino G, Fusco A, Corigliano G, Colarusso S, Piscopo M, Improta MR, Corigliano M, Martedi E, Oliva D, Russo V, Simonetti R, Satta E, Romano C, Vaia S, Strollo F. Lipohypertrophy in Elderly Insulin-Treated Patients With Type 2 Diabetes. Diabetes Ther 2021; 12:107-119. [PMID: 33219928 PMCID: PMC7843727 DOI: 10.1007/s13300-020-00954-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Accepted: 10/20/2020] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND The number of older adults with insulin-treated diabetes mellitus (DM) is steadily increasing worldwide. Errors in the insulin injection technique can lead to skin lipohypertrophy (LH), which is the accumulation of fat cells and fibrin in the subcutaneous tissue. While lipohypertrophic lesions/nodules (LHs) due to incorrect insulin injection techniques are very common, they are often flat and hardly visible and thus require thorough deep palpation examination and ultrasonography (US) for detection. Detection is crucial because such lesions may eventually result in poor diabetes control due to their association with unpredictable insulin release patterns. Skin undergoes fundamental structural changes with aging, possibly increasing the risk for LH. We have therefore investigated the effect of age on the prevalence of LHs and on factors potentially associated with such lesions. METHODS A total of 1227 insulin-treated outpatients with type 2 DM (T2DM) referred to our diabetes centers were consecutively enrolled in the study. These patients underwent a thorough clinical and US evaluation of the skin at injection sites, as previously described, with up to 95% concordance betweenthe clinical and US screening techniques. Of these 1227 patients, 718 (59%) had LH (LH+) and 509 (41%) were LH-free (LH-). These patients were then assigned to two age class groups (≤ 65 years and > 65 years), and several clinical features, diabetes complication rates, and injection habits were investigated. RESULTS Comparison of the two age subgroups revealed that 396 (48%) and 322 (79%) patients in the younger and older groups, respectively, had LHs (p < 0.001). Compared to the younger subgroup, the older subgroup displayed a higher LH rate in the abdomen (52.9 vs. 38.3%; p < 0.01) and a lower rate in the arms (25.4 vs. 35.8%; p < 0.05), thighs (26.7 vs. 33.4%; p < 0.05), and buttocks (4.9 vs. 26.2%; p < 0.01). In older subjects, the most relevant parameters were: habit of injecting insulin into LH nodules (56 vs. 47% [younger subjects]; p < 0.01), rate of post-injection leakage of insulin from injection site (drop-leaking rate; 47 vs. 39% [younger subjects]; p < 0.05), and rate of painful injections (5 vs. 16% [younger subjects]; p < 0.001). Multivariate analysis showed a stronger association between LH and poor habits, as well as between several clinical parameters, among which the most relevant were hypoglycemic events and glycemic variability. DISCUSSION The higher rate of post-injection drop-leaking and pain-free injections might find an explanation in skin changes typically observed in older adults, including lower thickness, vascularity and elasticity, and a more prominent fibrous texture, all of which negatively affect tissue distensibility. Consequently, in addition to the well-known association between aging skin impaired drug absorption rate, aging skin displays a progressively decreasing ability to accommodate large volumes of insulin-containing fluid. CONCLUSIONS The strong association between LH rate and hypoglycemic events plus glycemic variability suggests the need (1) to take specific actions to prevent and control the high risk of acute cardiovascular events expected to occur in older subjects in the case of hypoglycemic events, and (2) to identify suitable strategies to fulfill the difficult task of performing effective educational programs specifically targeted to the elderly. TRIAL REGISTRATION Trial registration number 172-11:12.2019, Scientific and Ethical Committee of Campania University "Luigi Vanvitelli", Naples, Italy).
Collapse
Affiliation(s)
- Sandro Gentile
- Department of Internal Medicine, Campania University “Luigi Vanvitelli”, Naples, Italy
- Diabetes Unit AID Stabia, Nefrocenter Research and Nyx Start-Up, Naples, Italy
| | - Giuseppina Guarino
- Department of Internal Medicine, Campania University “Luigi Vanvitelli”, Naples, Italy
| | - Teresa Della Corte
- Department of Internal Medicine, Campania University “Luigi Vanvitelli”, Naples, Italy
- Nutrition, Nefrocenter Research and Nyx Start-Up, Naples, Italy
| | - Giampiero Marino
- Department of Internal Medicine, Campania University “Luigi Vanvitelli”, Naples, Italy
| | - Alessandra Fusco
- Diabetes Unit, Italian Association for Diabetes (AID) Napoli, Naples, Italy
| | - Gerardo Corigliano
- Diabetes Unit, Italian Association for Diabetes (AID) Napoli, Naples, Italy
| | | | | | | | - Marco Corigliano
- Diabetes Unit, Italian Association for Diabetes (AID) Napoli, Naples, Italy
| | | | - Domenica Oliva
- Diabetes Unit, AID Cava dè Tirreni, Cava dè Tirreni, Italy
| | - Viviana Russo
- Diabetes Unit, Italian Association for Diabetes (AID) Napoli, Naples, Italy
| | | | - Ersilia Satta
- Dialysis Unit, Nefrocenter Research Network, Naples, Italy
| | - Carmine Romano
- Dialysis Unit, Nefrocenter Research Network, Naples, Italy
| | - Sebastiano Vaia
- Neuropsicology Unit, Nefrocenter Research Network, Naples, Italy
| | - Felice Strollo
- Diabetes, Endocrinology and Metabotic Disease, IRCCS San Raffaele Pisana, Rome, Italy
| | | | | |
Collapse
|
42
|
Mattishent K, Loke YK. Meta-Analysis: Association Between Hypoglycemia and Serious Adverse Events in Older Patients Treated With Glucose-Lowering Agents. Front Endocrinol (Lausanne) 2021; 12:571568. [PMID: 33763024 PMCID: PMC7982741 DOI: 10.3389/fendo.2021.571568] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [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] [Accepted: 01/11/2021] [Indexed: 12/17/2022] Open
Abstract
AIMS We conducted a meta-analysis of serious adverse events (dementia, macro- and micro-vascular events, falls and fractures, and death) associated with hypoglycemia in older patients treated with glucose lowering drugs. MATERIALS AND METHODS Meta-analysis of studies reporting on hypoglycemia and adverse events. The search included studies from two previously published systematic reviews, and an updated search of MEDLINE and EMBASE from April 2014 to November 2019. We assessed study validity based on ascertainment of hypoglycemia, adverse events and adjustment for confounders, and conducted a random effects meta-analyses, assessing heterogeneity using the I2 statistic. RESULTS We included 44 studies involving 2,507,434 participants. Most of the studies used adjusted analysis for confounders and hypoglycaemic events were typically identified based on healthcare databases (severe events). Hypoglycemia was associated with increased likelihood of death in a meta-analysis of eighteen studies, pooled OR 2.02 (95% Confidence Interval 1.75-2.32). Studies assessing mortality signal a time-response relationship with a higher risk of adverse events occurring within the first 90 days after hypoglycemia. Our meta-analysis of nine studies demonstrated that hypoglycaemic episodes were associated with dementia - pooled OR 1.50 (95% CI 1.29-1.74). Our meta-analysis of nineteen studies demonstrated associations between hypoglycaemia and macrovascular complications, pooled OR 1.81 (95% CI 1.70-1.94), and microvascular complications (two studies) pooled OR 1.77 (95% CI 1.49-2.10). There is also an association between hypoglycemia and cardiovascular death (six studies) - pooled OR 2.11 (95% CI 1.55 to 2.87). Similarly, our meta-analysis of six studies demonstrated an association between hypoglycemia and falls and fractures, pooled OR 1.78 (95% CI 1.44-2.21) and 1.68 (95% CI 1.37-2.07) respectively. CONCLUSION This meta-analysis confirms previously reported concerns of serious harm following hypoglycemia, especially in the immediate time period after a hypoglycaemic event. Avoidance of hypoglycaemic episodes should be a priority in this vulnerable population.
Collapse
|
43
|
Brzecka A, Madetko N, Nikolenko VN, Ashraf GM, Ejma M, Leszek J, Daroszewski C, Sarul K, Mikhaleva LM, Somasundaram SG, Kirkland CE, Bachurin SO, Aliev G. Sleep Disturbances and Cognitive Impairment in the Course of Type 2 Diabetes-A Possible Link. Curr Neuropharmacol 2020; 19:78-91. [PMID: 32148197 PMCID: PMC7903492 DOI: 10.2174/1570159x18666200309101750] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2019] [Revised: 02/28/2020] [Accepted: 03/05/2020] [Indexed: 02/06/2023] Open
Abstract
There is an increasing number of patients worldwide with sleep disturbances and diabetes. Various sleep disorders, including long or short sleep duration and poor sleep quality of numerous causes, may increase the risk of diabetes. Some symptoms of diabetes, such as painful peripheral neuropathy and nocturia, or associated other sleep disorders, such as sleep breathing disorders or sleep movement disorders, may influence sleep quality and quantity. Both sleep disorders and diabetes may lead to cognitive impairment. The risk of development of cognitive impairment in diabetic patients may be related to vascular and non-vascular and other factors, such as hypoglycemia, hyperglycemia, central insulin resistance, amyloid and tau deposits and other causes. Numerous sleep disorders, e.g., sleep apnea, restless legs syndrome, insomnia, and poor sleep quality are most likely are also associated with cognitive impairment. Adequate functioning of the system of clearance of the brain from toxic substances, such as amyloid β, i.e. glymphatic system, is related to undisturbed sleep and prevents cognitive impairment. In the case of coexistence, sleep disturbances and diabetes either independently lead to and/or mutually aggravate cognitive impairment.
Collapse
Affiliation(s)
- Anna Brzecka
- Department of Pulmonology and Lung Cancer, Wroclaw Medical University, Wroclaw, Poland
| | - Natalia Madetko
- Department of Neurology, Wroclaw Medical University, Wroclaw, Poland
| | - Vladimir N Nikolenko
- I. M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University), 8/2 Trubetskaya Str., Moscow, 119991, Russian Federation
| | - Ghulam M Ashraf
- King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Maria Ejma
- Department of Neurology, Wroclaw Medical University, Wroclaw, Poland
| | - Jerzy Leszek
- Department of Psychiatry, Wroclaw Medical University, Wroclaw, Poland
| | - Cyryl Daroszewski
- Department of Pulmonology and Lung Cancer, Wroclaw Medical University, Wroclaw, Poland
| | - Karolina Sarul
- Department of Pulmonology and Lung Cancer, Wroclaw Medical University, Wroclaw, Poland
| | - Liudmila M Mikhaleva
- Research Institute of Human Morphology,3 Tsyurupy Street, Moscow, 117418, Russian Federation
| | - Siva G Somasundaram
- Department of Biological Sciences, Salem University, Salem, WV, 26426, United States
| | - Cecil E Kirkland
- Department of Biological Sciences, Salem University, Salem, WV, 26426, United States
| | - Sergey O Bachurin
- Institute of Physiologically Active Compounds, Russian Academy of Sciences, Chernogolovka, 142432, Russian Federation
| | - Gjumrakch Aliev
- I. M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University), 8/2 Trubetskaya Str., Moscow, 119991, Russian Federation
| |
Collapse
|
44
|
Kaewput W, Thongprayoon C, Rangsin R, Bathini T, Torres-Ortiz A, Mao MA, Cheungpasitporn W. Incidence and Risk Factors Associated with Outpatient Hypoglycemia in Patients with Type 2 Diabetes and Chronic Kidney Disease: A Nationwide Study. Endocr Res 2020; 45:217-225. [PMID: 32662297 DOI: 10.1080/07435800.2020.1792921] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND Chronic kidney disease and hypoglycemia are common complications in individuals with diabetes. Currently, the association of renal function with hypoglycemic complications in type 2 diabetes mellitus (T2DM) is inconclusive. This study aims to assess the associations between estimated glomerular filtration rate (eGFR) and cumulative incidence of hypoglycemia, hypoglycemia-related hospitalizations, and incidence of outpatient hypoglycemia among T2DM patients in Thailand using a nationwide patient sample. METHODS We conducted a nationwide retrospective cohort study based on the DM/HT study of the Medical Research Network of the Consortium of Thai Medical Schools. This study assessed adult T2DM patients from 831 public hospitals in Thailand in the year 2012-2013. eGFR was categorized into ≥90, 60-89, 30-59, 15-29, and <15 mL/min/1.73 m2. The associations between eGFR and hypoglycemia, hypoglycemia-related hospitalizations, and incidence of outpatient hypoglycemia were assessed using multivariate logistic regression and Poisson regression. RESULTS A total of 25,056 T2DM patients with available eGFR were included in the analysis. The mean age was 60.9 ± 10.5 years. The cumulative incidence of hypoglycemia and hypoglycemia-related hospitalizations was 3.6% and 1.7%, respectively. Incidence of outpatient hypoglycemia, mild hypoglycemia, and severe hypoglycemia was 2.99 (2.59-3.43), 2.47 (2.11-2.88), and 0.52 (0.36-0.72) per 100 patient-years, respectively. Patients with eGFR of 30-59, 15-29, and <15 mL/min/1.73 m2 were significantly associated with an increased risk of hypoglycemia, hypoglycemia-related hospitalizations, and incidence of outpatient hypoglycemia when compared to patients with eGFR of ≥90 mL/min/1.73 m2. CONCLUSION Reduced eGFR was independently associated with increased hypoglycemia, hypoglycemia-related hospitalizations, and risk of outpatient hypoglycemia. Increasing awareness of the heightened risk of hypoglycemia with declining renal function may prompt changes to diabetic management for at-risk individuals.
Collapse
Affiliation(s)
- Wisit Kaewput
- Department of Military and Community Medicine, Phramongkutklao College of Medicine , Bangkok, Thailand
| | | | - Ram Rangsin
- Department of Military and Community Medicine, Phramongkutklao College of Medicine , Bangkok, Thailand
| | - Tarun Bathini
- Department of Internal Medicine, University of Arizona , Tucson, AZ, USA
| | - Aldo Torres-Ortiz
- Department of Medicine, University of Mississippi Medical Center , Jackson, MS, USA
| | - Michael A Mao
- Department of Medicine, Mayo Clinic , Jacksonville, FL, USA
| | | |
Collapse
|
45
|
Huang TF, Tang ZP, Wang S, Hu MW, Zhan L, Yi Y, He YL, Cai ZY. Decrease in Serum Levels of Adiponectin and Increase in 8-OHdG: a Culprit for Cognitive Impairment in the Elderly Patients with Type 2 Diabetes. Curr Mol Med 2020; 20:44-50. [PMID: 31424368 DOI: 10.2174/1566524019666190819160403] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Revised: 07/13/2019] [Accepted: 07/30/2019] [Indexed: 12/21/2022]
Abstract
BACKGROUND Adiponectin and 8-Hydroxy-2'-deoxyguanosine (8-OHdG) are identified as important biomarkers in the pathogenesis process of type 2 diabetes mellitus (T2DM). Whether adiponectin and 8-OHdG have a relation to cognitive decline in the elderly T2DM patients has been poorly understood. The aim of this study was to evaluate the effects of adiponectin and 8-OHdG in the elderly patients with T2DM and to determine the role of adiponectin and 8-OHdG in the cognitive impairment of the elderly patients with T2DM. METHODS 57 individuals were recruited and analyzed , with 26 cases of T2DM without cognitive impairment and 31 cases of T2DM with cognitive impairment. All of them underwent an examination of diabetes scales and blood glucose at different times. A primary diagnosis of diabetes was in line with the diagnosis criteria set by the American Diabetes Association (ADA). Statistical significance was defined as a P-value of less than 0.05. RESULTS The variables of sex, age, body mass index (BMI), hypertension, diabetes, metabolic syndrome, lacunar cerebral infarction, smoking and drinking in T2DM patients without cognitive impairment and with cognitive impairment showed no difference according to the univariate analysis exploring each variable separately (p>0.05). A significant difference was observed in the serum levels of adiponectin and 8-OHdG and the scales of MMSE and MoCA (p<0.05). Therefore, it was inferred that there is no correlation between glucose metabolic value and cognitive outcome of T2DM patients. Serum levels of adiponectin and 8-OHdG could act as biomarkers of cognitive impairment degree in the elderly T2DM patients. CONCLUSION Serum levels of adiponectin and 8-OHdG could act as specific and sensitive biomarkers for the early diagnosis and treatment of cognitive impairment in elderly T2DM patients. Serum levels of adiponectin and 8-OHdG have a close relation to the neurological cognitive outcome of the elderly T2DM patients.
Collapse
Affiliation(s)
- Ting-Fu Huang
- Department of Neurology, Chongqing Prevention and Treatment Center for Occupational Diseases, Chongqing, China
| | - Zhi-Pei Tang
- Department of Neurology, Chongqing Prevention and Treatment Center for Occupational Diseases, Chongqing, China
| | - Shan Wang
- Department of Neurology, Chongqing Prevention and Treatment Center for Occupational Diseases, Chongqing, China
| | - Ming-Wei Hu
- Department of Neurology, Chongqing Prevention and Treatment Center for Occupational Diseases, Chongqing, China
| | - Lu Zhan
- Department of Neurology, Chongqing Prevention and Treatment Center for Occupational Diseases, Chongqing, China
| | - Yi Yi
- Department of Neurology, Chongqing Prevention and Treatment Center for Occupational Diseases, Chongqing, China
| | - Yong-Li He
- Department of Neurology, Chongqing Prevention and Treatment Center for Occupational Diseases, Chongqing, China
| | - Zhi-You Cai
- Department of Neurology, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing, 400013, Chongqing, China.,Chongqing Key Laboratory of Neurodegenerative Diseases, Chongqing, 400013, Chongqing, China
| |
Collapse
|
46
|
Yu ZW, Liu R, Li X, Wang Y, Fu YH, Li HY, Yuan Y, Gao XY. Potential roles of Glucagon-like peptide-1 and its analogues in cognitive impairment associated with type 2 diabetes mellitus. Mech Ageing Dev 2020; 190:111294. [DOI: 10.1016/j.mad.2020.111294] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Revised: 06/12/2020] [Accepted: 06/19/2020] [Indexed: 12/12/2022]
|
47
|
Zhou J, Zhang Z, Zhou H, Qian G. Diabetic Cognitive Dysfunction: From Bench to Clinic. Curr Med Chem 2020; 27:3151-3167. [PMID: 30727866 DOI: 10.2174/1871530319666190206225635] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2018] [Revised: 12/30/2018] [Accepted: 01/30/2019] [Indexed: 02/07/2023]
Abstract
Type 2 diabetes increases the risk of developing cognitive dysfunction in the elderly in the form of short-term memory and executive function impairment. Genetic and diet-induced models of type 2 diabetes further support this link, displaying deficits in working memory, learning, and memory performance. The risk factors for diabetic cognitive dysfunction include vascular disease, hypoglycaemia, hyperlipidaemia, adiposity, insulin resistance, lifestyle factors, and genetic factors. Using neuronal imaging technologies, diabetic patients with cognitive dysfunction show atrophy of the whole brain, particularly the grey matter, hippocampus and amygdala; increased volume of the ventricular and white matter; brain infarcts; impaired network integrity; abnormal microstructure; and reduced cerebral blood flow and amplitude of low-frequency fluctuations. The pathogenesis of type 2 diabetes with cognitive dysfunction involves hyperglycaemia, macrovascular and microvascular diseases, insulin resistance, inflammation, apoptosis, and disorders of neurotransmitters. Large clinical trials may offer further proof of biomarkers and risk factors for diabetic cognitive dysfunction. Advanced neuronal imaging technologies and novel disease animal models will assist in elucidating the precise pathogenesis and to provide better therapeutic interventions and treatment.
Collapse
Affiliation(s)
- Jiyin Zhou
- National Drug Clinical Trial Institution, the Second Affiliated Hospital, Army Medical University, Chongqing 400037, China
| | - Zuo Zhang
- National Drug Clinical Trial Institution, the Second Affiliated Hospital, Army Medical University, Chongqing 400037, China
| | - Hongli Zhou
- National Drug Clinical Trial Institution, the Second Affiliated Hospital, Army Medical University, Chongqing 400037, China
| | - Guisheng Qian
- Institute of Respiratory Diseases, the Second Affiliated Hospital, Army Medical University, Chongqing 400037, China
| |
Collapse
|
48
|
Zhou JB, Tang X, Han M, Yang J, Simó R. Impact of antidiabetic agents on dementia risk: A Bayesian network meta-analysis. Metabolism 2020; 109:154265. [PMID: 32446679 DOI: 10.1016/j.metabol.2020.154265] [Citation(s) in RCA: 62] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Revised: 05/13/2020] [Accepted: 05/19/2020] [Indexed: 01/11/2023]
Abstract
BACKGROUND Dementia is more prevalent among people with type 2 diabetes, but little is known regarding the influence of antidiabetic agents on this association. OBJECTIVE This study assessed the impact of various antidiabetic agents on the risk of dementia among patients with Type 2 diabetes mellitus. METHODS Relevant studies were retrieved from the PubMed, Embase, Cochrane Central Register of Controlled Trials (CENTRAL), and ClinicalTrials.gov databases. Nine antidiabetic agents were included in the search. Data were pooled via network meta-analysis and meta-analysis. RESULTS Nine studies were selected for the network meta-analysis with 530,355 individuals and 17 studies for the meta-analysis with 1,258,879 individuals. The analysis excluded glucagon-like peptide 1 (GLP-1) analogs and sodium-dependent glucose transporter 2 (SGLT-2) inhibitors due to the absence of relevant data. The use of dipeptidyl peptidase-4 (DPP-4) inhibitors, metformin, thiazolidinedione, and sulfonylurea was associated with a decreased risk of dementia in comparison to no treatment with antidiabetic agents (hazard ratio [HR] for DPP-4 inhibitors, 0.54; 95% confidence interval [CI], 0.38-0.74, HR for metformin, 0.75; 95% CI, 0.63-0.86; HR for sulfonylurea, 0.85; 95%CI, 0.73-0.98 and HR for thiazolidinedione, 0.70; 95% CI, 0.55-0.89, respectively). However, the node-splitting analysis showed the inconsistency of direct and indirect estimates in sulfonylurea (P = 0.042). DPP-4 inhibitors, metformin, thiazolidinedione, and sulfonylurea exhibited a significant impact on the risk of dementia in diabetics compared with insulin (HR, 0.35; 95%CI, 0.20-0.59, HR, 0.48; 95% CI, 0.30-0.77, HR, 0.45; 95% CI, 0.29-0.73 and HR, 0.55; 95% CI, 0.34-0.88, respectively). DPP-4 inhibitors also exhibited a protective effect on the risk of Alzheimer's dementia compared with the no treatment with antidiabetic agents (HR, 0.48; 95% CI, 0.25-0.92). The meta-analysis demonstrated a protective effect of using metformin and DPP-4 inhibitors on the risk of dementia (HR, 0.86; 95% CI, 0.74-1.00 and HR, 0.65; 95% CI, 0.55-0.76, respectively). Further analysis showed insulin was associated with an increased risk of Alzheimer's dementia (HR, 1.60; 95% CI, 1.13-2.26). Only two case-control studies mentioned GLP-1 analogs and SGLT-2 inhibitors, and the pooled ORs showed no evidence of an association with dementia (GLP-1 analogs: 0.71; 95% CI, 0.46-1.10 and SGLT-2 inhibitors: 0.74; 95% CI, 0.47-1.15). CONCLUSION This analysis indicated that patients with type 2 diabetes under treatment with DPP-4 inhibitors presented with the lowest risk of dementia, followed by those treated with metformin and thiazolidinedione, while treatment with insulin was associated with the highest risk. For the increasing focus on the protective effect on dementia, further specific clinical studies are needed to evaluate the impact of GLP-1 analogs and SGLT-2 inhibitors on the risk of dementia.
Collapse
Affiliation(s)
- Jian-Bo Zhou
- Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, China.
| | - Xingyao Tang
- Beijing Tongren Hospital, Capital Medical University, China
| | - Min Han
- Department of Nephrology, Tongji Medical College, Huazhong University of Science and Technology, China
| | - Jinkui Yang
- Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, China
| | - Rafael Simó
- Endocrinology and Nutrition Department, Hospital Universitari Vall d'Hebron, Diabetes and Metabolism Research Unit, Vall d'Hebron Institut de Recerca (VHIR), Universitat Autònoma de Barcelona, Passeig de la Vall d'Hebron, 119, 08035 Barcelona, Spain; Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
| |
Collapse
|
49
|
Lyu F, Wu D, Wei C, Wu A. Vascular cognitive impairment and dementia in type 2 diabetes mellitus: An overview. Life Sci 2020; 254:117771. [DOI: 10.1016/j.lfs.2020.117771] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Revised: 05/07/2020] [Accepted: 05/07/2020] [Indexed: 12/18/2022]
|
50
|
Sinclair A, Abdelhafiz A. Cognitive Dysfunction in Older Adults with Type 2 Diabetes: Links, Risks, and Clinical Implications. Clin Geriatr Med 2020; 36:407-417. [PMID: 32586471 DOI: 10.1016/j.cger.2020.04.002] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
The prevalence of comorbid diabetes and cognitive dysfunction increases as the population ages. Diabetes increases the risk of progression of cognitive dysfunction through a spectrum of cognitive decline to mild cognitive impairment then to dementia. Cognitive dysfunction, especially impairment in the executive domain, has a negative impact on patients' self-care tasks. With further progression of dementia and the development of behavioral problems, the challenge to carers and health care professionals looking after these patients is significant. Therefore, clinical trials are needed to explore the impact of novel hypoglycemic therapy on cognitive function as an important outcome in this population.
Collapse
Affiliation(s)
- Alan Sinclair
- Foundation for Diabetes Research in Older People, Diabetes Frail Ltd, Droitwich Spa WR9 0QH, UK; Kings College, London SE1 9NH, UK.
| | - Ahmed Abdelhafiz
- Department of Geriatric Medicine, Rotherham General Hospital, Moorgate Road, Rotherham S60 2UD, UK
| |
Collapse
|