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Pilla SJ, Pitts SI, Maruthur NM. High Concurrent Use of Sulfonylureas and Antimicrobials With Drug Interactions Causing Hypoglycemia. J Patient Saf 2022; 18:e217-e224. [PMID: 32569099 DOI: 10.1097/pts.0000000000000739] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVES Sulfonylureas, the second most common oral diabetes treatment, have interactions with antimicrobials that substantially increase the risk of hypoglycemia. The objectives of this study are to quantify the concurrent use of sulfonylureas and interacting antimicrobial in U.S. ambulatory care and to examine whether interacting antimicrobials are used for an appropriate indication. METHODS We analyzed the 2006-2016 National Ambulatory Medical Care Survey and National Hospital Ambulatory Medical Care Survey, annual probability samples of visits to U.S. office-based physicians. We determined nationally representative estimates of visits for adults with concurrent use of sulfonylureas and 7 antimicrobials with established interactions. We examined whether visit diagnoses included appropriate indications for antibiotics according to national guidelines. RESULTS There were 2.5 million visits per year (95% confidence interval [CI] 2.2-2.9) in which sulfonylureas were used with systemic antimicrobials, of which 1 million (95% CI, 0.8-1.2) or 38.0% (95% CI, 32.3%-44.0%) were interacting antimicrobials. Sulfonylurea users had similar odds of interacting antimicrobial use as patients using diabetes medications without antimicrobial interactions (adjusted odds ratio, 1.07; 95% CI, 0.82-1.40). The most common interacting antimicrobials used with sulfonylureas were fluoroquinolones, accounting for 59.9% (95% CI, 50.7%-68.2%) of antimicrobials, and sulfamethoxazole-trimethoprim, accounting for 21.1% (95% CI, 14.8%-29.2%). There was no appropriate antibiotic indication in 69.7% (95% CI, 55.2%-81.1) of visits with interacting antibiotic use. CONCLUSIONS Sulfonylureas and antimicrobials with potentially hazardous interactions are frequently used together. To reduce resultant hypoglycemic events, there is a need for interventions to increase physician awareness and promote antibiotic stewardship.
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Liu S, Xv L, Wu X, Wang F, Wang J, Tang X, Dong R, Wang B, Lin X, Bi Y. Potential value of preoperative fasting blood glucose levels in the identification of postoperative delirium in non-diabetic older patients undergoing total hip replacement: The perioperative neurocognitive disorder and biomarker lifestyle study. Front Psychiatry 2022; 13:941048. [PMID: 36311514 PMCID: PMC9606582 DOI: 10.3389/fpsyt.2022.941048] [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: 06/01/2022] [Accepted: 09/20/2022] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Postoperative delirium (POD) is a common complication after total hip replacement. This study aims to explore the relationship between preoperative fasting blood glucose (FBG) levels and POD in non-diabetic older patients undergoing total hip replacement. MATERIALS AND METHODS This study included a total of 625 patients undergoing elective total hip replacement under combined spinal and epidural anesthesia from the PNDABLE study. The relationship between POD and preoperative FBG was analyzed by using the logistic regression model. The associations of FBG with individual cerebrospinal fluid (CSF) biomarkers were detected by using the multivariable linear regression model controlling for age, gender, and education level. The mediation effects were explored by mediation analyses with 5,000 bootstrap iterations, while sensitivity analysis was used to test the reliability and stability of the results. The receiver operating characteristic (ROC) curve and the nomogram model were applied to evaluate the efficacy of FBG and POD-related CSF biomarkers in predicting POD. POD assessment was performed two times daily by a trained anesthesiologist at 9:00-10:00 am and 2:00-3:00 pm on postoperative days 1-7 or before the patients were discharged from the hospital. POD was defined by the Confusion Assessment Method (CAM), and POD severity was measured using the Memorial Delirium Assessment Scale (MDAS). Enzyme-linked immunosorbent assay (ELISA) was used to measure CSF Aβ40, Aβ42, T-tau, and P-tau levels. RESULTS POD was detected in 10.2% (60/588) of the patients. Logistic regression analysis showed that after adjusting for age and education level, the increased levels of FBG (OR 1.427, 95% CI 1.117-1.824, P = 0.004), CSF P-tau (OR 1.039, 95% CI 1.019-1.060, P < 0.001), and CSF T-tau (OR 1.013, 95% CI 1.009-1.018, P < 0.001) were risk factors for POD, and the increased level of CSF Aβ42 (OR 0.996, 95% CI 0.994-0.998, P = 0.001) was a protective factor for POD. Multivariable linear regression models showed that when adjusting for age, gender, and education level, in the POD group, higher preoperative FBG levels were negatively correlated with the CSF Aβ42 level (β = -0.290, P = 0.028) and positively correlated with CSF P-tau (β = 0.384, P = 0.004) and T-tau (β = 0.447, P < 0.001). In the non-POD group, a higher preoperative FBG was not related to CSF biomarkers. Mediated effect analysis showed that CSF T-tau (proportion = 17.1%) had an apparent mediation effect on the relationship between FBG and POD. Sensitivity analysis revealed that the results from the logistic regression and multivariable linear regression models were consistent with previous results. CONCLUSION Increased preoperative FBG was a risk factor for POD in older patients without T2DM, and T-tau might mediate the relationship between FBG and POD.
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Affiliation(s)
- Siyu Liu
- Department of Anesthesiology, Qingdao Municipal Hospital Affiliated to Qingdao University, Qingdao, China
| | - Lizhu Xv
- Medical Department, Qingdao Municipal Hospital Affiliated to Qingdao University, Qingdao, China
| | - Xiaoyue Wu
- Department of Anesthesiology, Dalian Medical University, Dalian, Liaoning, China
| | - Fei Wang
- Department of Anesthesiology, Nanjing Medical University, Nanjing, China
| | - Jiahan Wang
- Department of Anesthesiology, Qingdao Municipal Hospital Affiliated to Qingdao University, Qingdao, China
| | - Xinhui Tang
- Department of Anesthesiology, Dalian Medical University, Dalian, Liaoning, China
| | - Rui Dong
- Department of Anesthesiology, Gulou Hospital Affiliated to Medical College of Nanjing University, Nanjing, China
| | - Bin Wang
- Department of Anesthesiology, Qingdao Municipal Hospital Affiliated to Qingdao University, Qingdao, China
| | - Xu Lin
- Department of Anesthesiology, Qingdao Municipal Hospital Affiliated to Qingdao University, Qingdao, China
| | - Yanlin Bi
- Department of Anesthesiology, Qingdao Municipal Hospital Affiliated to Qingdao University, Qingdao, China
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Secnik J, Xu H, Schwertner E, Hammar N, Alvarsson M, Winblad B, Eriksdotter M, Garcia-Ptacek S, Religa D. Glucose-Lowering Medications and Post-Dementia Survival in Patients with Diabetes and Dementia. J Alzheimers Dis 2022; 86:245-257. [PMID: 35034902 PMCID: PMC9028644 DOI: 10.3233/jad-215337] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/10/2021] [Indexed: 11/27/2022]
Abstract
BACKGROUND The effectiveness of glucose-lowering drugs (GLDs) is unknown among patients with dementia. OBJECTIVE To analyze all-cause mortality among users of six GLDs in dementia and dementia-free subjects, respectively. METHODS This was a longitudinal open-cohort registry-based study using data from the Swedish Dementia Registry, Total Population Register, and four supplemental registers providing data on dementia status, drug usage, confounders, and mortality. The cohort comprised 132,402 subjects with diabetes at baseline, of which 11,401 (8.6%) had dementia and 121,001 (91.4%) were dementia-free. Subsequently, comparable dementia - dementia-free pairs were sampled. Then, as-treated and intention-to-treat exposures to metformin, insulin, sulfonylurea, dipeptidyl-peptidase-4 inhibitors, glucagon-like peptide-1 analogues (GLP-1a), and sodium-glucose cotransporter-2 inhibitors (SGLT-2i) were analyzed in the parallel dementia and dementia-free cohorts. Confounding was addressed using inverse-probability weighting and propensity-score matching, and flexible parametric survival models were used to produce hazard ratios (HR) and 95% confidence intervals (CI) of the association between GLDs and all-cause mortality. RESULTS In the as-treated models, increased mortality was observed among insulin users with dementia (HR 1.34 [95%CI 1.24-1.45]) as well as in dementia-free subjects (1.54 [1.10-1.55]). Conversely, sulfonylurea was associated with higher mortality only in dementia subjects (1.19 [1.01-1.42]). GLP-1a (0.44 [0.25-0.78]) and SGLT-2i users with dementia (0.43 [0.23-0.80]) experienced lower mortality compared to non-users. CONCLUSION Insulin and sulfonylurea carried higher mortality risk among dementia patients, while GLP-1a and SGLT-2i were associated with lower risk. GLD-associated mortality varied between dementia and comparable dementia-free subjects. Further studies are needed to optimize GLD use in dementia patients.
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Affiliation(s)
- Juraj Secnik
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden
- Department of Neurology, Charles University, Second Faculty of Medicine, Motol University Hospital, Prague, Czech Republic
| | - Hong Xu
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Emilia Schwertner
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden
| | - Niklas Hammar
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Michael Alvarsson
- Growth and Metabolism, Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Bengt Winblad
- Division of Neurogeriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
- Theme Aging, Karolinska University Hospital, Huddinge, Sweden
| | - Maria Eriksdotter
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden
- Theme Aging, Karolinska University Hospital, Huddinge, Sweden
| | - Sara Garcia-Ptacek
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden
- Theme Aging, Karolinska University Hospital, Huddinge, Sweden
| | - Dorota Religa
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden
- Theme Aging, Karolinska University Hospital, Huddinge, Sweden
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104
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Little K, Llorián-Salvador M, Scullion S, Hernández C, Simó-Servat O, Del Marco A, Bosma E, Vargas-Soria M, Carranza-Naval MJ, Van Bergen T, Galbiati S, Viganò I, Musi CA, Schlingemann R, Feyen J, Borsello T, Zerbini G, Klaassen I, Garcia-Alloza M, Simó R, Stitt AW. Common pathways in dementia and diabetic retinopathy: understanding the mechanisms of diabetes-related cognitive decline. Trends Endocrinol Metab 2022; 33:50-71. [PMID: 34794851 DOI: 10.1016/j.tem.2021.10.008] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 09/06/2021] [Accepted: 10/29/2021] [Indexed: 12/14/2022]
Abstract
Type 2 diabetes (T2D) is associated with multiple comorbidities, including diabetic retinopathy (DR) and cognitive decline, and T2D patients have a significantly higher risk of developing Alzheimer's disease (AD). Both DR and AD are characterized by a number of pathological mechanisms that coalesce around the neurovascular unit, including neuroinflammation and degeneration, vascular degeneration, and glial activation. Chronic hyperglycemia and insulin resistance also play a significant role, leading to activation of pathological mechanisms such as increased oxidative stress and the accumulation of advanced glycation end-products (AGEs). Understanding these common pathways and the degree to which they occur simultaneously in the brain and retina during diabetes will provide avenues to identify T2D patients at risk of cognitive decline.
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Affiliation(s)
- Karis Little
- Wellcome-Wolfson Institute for Experimental Medicine, Queen's University Belfast, Belfast, UK
| | - María Llorián-Salvador
- Wellcome-Wolfson Institute for Experimental Medicine, Queen's University Belfast, Belfast, UK
| | - Sarah Scullion
- Wellcome-Wolfson Institute for Experimental Medicine, Queen's University Belfast, Belfast, UK
| | - Cristina Hernández
- Vall d'Hebron Research Institute and CIBERDEM (ISCIII), Barcelona, Spain
| | - Olga Simó-Servat
- Vall d'Hebron Research Institute and CIBERDEM (ISCIII), Barcelona, Spain
| | - Angel Del Marco
- Division of Physiology, School of Medicine, Instituto de Investigacion Biomedica de Cadiz (INIBICA), Universidad de Cadiz, Cadiz, Spain
| | - Esmeralda Bosma
- Ocular Angiogenesis Group, University of Amsterdam, Amsterdam, The Netherlands
| | - Maria Vargas-Soria
- Division of Physiology, School of Medicine, Instituto de Investigacion Biomedica de Cadiz (INIBICA), Universidad de Cadiz, Cadiz, Spain
| | - Maria Jose Carranza-Naval
- Division of Physiology, School of Medicine, Instituto de Investigacion Biomedica de Cadiz (INIBICA), Universidad de Cadiz, Cadiz, Spain
| | | | - Silvia Galbiati
- Complications of Diabetes Unit, Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milano, Italy
| | - Ilaria Viganò
- Complications of Diabetes Unit, Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milano, Italy
| | - Clara Alice Musi
- Università Degli Studi di Milano and Istituto di Ricerche Farmacologiche Mario Negri- IRCCS, Milano, Italy
| | - Reiner Schlingemann
- Ocular Angiogenesis Group, University of Amsterdam, Amsterdam, The Netherlands; Department of Ophthalmology, University of Lausanne, Jules Gonin Eye Hospital, Lausanne, Switzerland
| | | | - Tiziana Borsello
- Università Degli Studi di Milano and Istituto di Ricerche Farmacologiche Mario Negri- IRCCS, Milano, Italy
| | - Gianpaolo Zerbini
- Complications of Diabetes Unit, Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milano, Italy
| | - Ingeborg Klaassen
- Ocular Angiogenesis Group, University of Amsterdam, Amsterdam, The Netherlands
| | - Monica Garcia-Alloza
- Division of Physiology, School of Medicine, Instituto de Investigacion Biomedica de Cadiz (INIBICA), Universidad de Cadiz, Cadiz, Spain
| | - Rafael Simó
- Vall d'Hebron Research Institute and CIBERDEM (ISCIII), Barcelona, Spain.
| | - Alan W Stitt
- Wellcome-Wolfson Institute for Experimental Medicine, Queen's University Belfast, Belfast, UK.
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105
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Seshadri S, Caunca MR, Rundek T. Vascular Dementia and Cognitive Impairment. Stroke 2022. [DOI: 10.1016/b978-0-323-69424-7.00018-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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106
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Frank CJ, McNay EC. Breakdown of the blood-brain barrier: A mediator of increased Alzheimer's risk in patients with metabolic disorders? J Neuroendocrinol 2022; 34:e13074. [PMID: 34904299 PMCID: PMC8791015 DOI: 10.1111/jne.13074] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Revised: 11/12/2021] [Accepted: 11/26/2021] [Indexed: 01/03/2023]
Abstract
Metabolic disorders (MDs), including type 1 and 2 diabetes and chronic obesity, are among the faster growing diseases globally and are a primary risk factor for Alzheimer's disease (AD). The term "type-3 diabetes" has been proposed for AD due to the interrelated cellular, metabolic, and immune features shared by diabetes, insulin resistance (IR), and the cognitive impairment and neurodegeneration found in AD. Patients with MDs and/or AD commonly exhibit altered glucose homeostasis and IR; systemic chronic inflammation encompassing all of the periphery, blood-brain barrier (BBB), and central nervous system; pathological vascular remodeling; and increased BBB permeability that allows transfusion of neurotoxic molecules from the blood to the brain. This review summarizes the components of the BBB, mechanisms through which MDs alter BBB permeability via immune and metabolic pathways, the contribution of BBB dysfunction to the manifestation and progression of AD, and current avenues of therapeutic research that address BBB permeability. In addition, issues with the translational applicability of current animal models of AD regarding BBB dysfunction and proposals for future directions of research that address the relationship between MDs, BBB dysfunction, and AD are discussed.
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Affiliation(s)
- Corey J Frank
- Behavioral Neuroscience, University at Albany, SUNY, Albany, NY, USA
| | - Ewan C McNay
- Behavioral Neuroscience, University at Albany, SUNY, Albany, NY, USA
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107
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4. Comprehensive Medical Evaluation and Assessment of Comorbidities: Standards of Medical Care in Diabetes-2022. Diabetes Care 2022; 45:S46-S59. [PMID: 34964869 PMCID: PMC8935396 DOI: 10.2337/dc22-s004] [Citation(s) in RCA: 71] [Impact Index Per Article: 35.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee (https://doi.org/10.2337/dc22-SPPC), are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction (https://doi.org/10.2337/dc22-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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108
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Kirvalidze M, Hodkinson A, Storman D, Fairchild TJ, Bała M, Beridze G, Zuriaga A, Brudasc NI, Brini S. The role of glucose on cognition, risk of dementia, and related biomarkers in individuals without type 2 diabetes mellitus or the metabolic syndrome: a systematic review of observational studies. Neurosci Biobehav Rev 2022; 135:104551. [DOI: 10.1016/j.neubiorev.2022.104551] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Revised: 01/24/2022] [Accepted: 01/24/2022] [Indexed: 01/14/2023]
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109
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Kimura Y, Kimura N, Akazawa M. Nutrition-related risk and severe hypoglycemia in older adult outpatients with and without diabetes. Clin Case Rep 2022; 10:e05317. [PMID: 35106170 PMCID: PMC8787726 DOI: 10.1002/ccr3.5317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Revised: 12/16/2021] [Accepted: 12/22/2021] [Indexed: 11/15/2022] Open
Abstract
In this study, 17 patients with severe hypoglycemia were assessed for nutrition-related risk using the Geriatric Nutritional Risk Index (GNRI). The results showed that 13 of the 17 patients had nutrition-related risk. Hypoglycemia should be noted in patients with problems on GNRI, with or without diabetes.
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Affiliation(s)
- Yoshinobu Kimura
- Department of Public Health and EpidemiologyMeiji Pharmaceutical UniversityKiyoseJapan
- Department of PharmacySoka Municipal HospitalSokaJapan
| | - Naoya Kimura
- Department of PharmacySoka Municipal HospitalSokaJapan
| | - Manabu Akazawa
- Department of Public Health and EpidemiologyMeiji Pharmaceutical UniversityKiyoseJapan
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110
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Kopf D. Diabetes mellitus und Demenz. DIABETOL STOFFWECHS 2021. [DOI: 10.1055/a-1146-7607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- Daniel Kopf
- Geriatrische Klinik und Zentrum für Altersmedizin, Klinikum Ludwigsburg, Ludwigsburg, Deutschland
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111
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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.
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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
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112
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Li T, Cao HX, Ke D. Type 2 Diabetes Mellitus Easily Develops into Alzheimer's Disease via Hyperglycemia and Insulin Resistance. Curr Med Sci 2021; 41:1165-1171. [PMID: 34874485 DOI: 10.1007/s11596-021-2467-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 10/18/2021] [Indexed: 12/14/2022]
Abstract
With the acceleration of population aging, the incidence of type 2 diabetes mellitus (T2DM) and Alzheimer's disease (AD) is progressively increasing due to the age-relatedness of these two diseases. The association between T2DM and AD-like dementia is receiving much attention, and T2DM is reported to be a significant risk factor for AD. The aims of this review were to reveal the brain changes caused by T2DM as well as to explore the roles of hyperglycemia and insulin resistance in the development of AD.
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Affiliation(s)
- Ting Li
- Department of Pathophysiology, School of Basic Medicine and the Collaborative Innovation Center for Brain Science, Key Laboratory of Ministry of Education of China and Hubei Province for Neurological Disorders, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Hong-Xia Cao
- Institute of Pathology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
| | - Dan Ke
- Department of Pathophysiology, School of Basic Medicine and the Collaborative Innovation Center for Brain Science, Key Laboratory of Ministry of Education of China and Hubei Province for Neurological Disorders, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
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113
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Secnik J, Xu H, Schwertner E, Hammar N, Alvarsson M, Winblad B, Eriksdotter M, Garcia-Ptacek S, Religa D. The association of antidiabetic medications and Mini-Mental State Examination scores in patients with diabetes and dementia. Alzheimers Res Ther 2021; 13:197. [PMID: 34857046 PMCID: PMC8641148 DOI: 10.1186/s13195-021-00934-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 11/09/2021] [Indexed: 02/06/2023]
Abstract
Background The effect of antidiabetic medication on cognitive function is unclear. We analyzed the association between five antidiabetic drugs and change in Mini-Mental State Examination (MMSE) scores in patients with diabetes and dementia. Methods Using the Swedish Dementia Registry and four supplementary Swedish registers/databases, we identified 1873 patients (4732 observations) with diagnosis of type 2 diabetes (diabetes) and Alzheimer’s disease or mixed-pathology dementia who were followed up at least once after dementia diagnosis. Use of metformin, insulin, sulfonylurea, thiazolidinediones (TZD), and dipeptidyl-peptidase-4 inhibitors (DPP-4i) was identified at baseline. Prevalent-user, incident-user, and drug-drug cohorts were sampled, and propensity-score matching was used to analyze comparable subjects. Beta coefficients with 95% confidence intervals (CI) from the random intercept and slope linear mixed-effects models determined the association between the use of antidiabetic medications and decline in MMSE score points between the follow-ups. Inverse-probability weighting was used to account for patient dropout. Results Compared to non-users, prevalent users of metformin (beta 0.89, 95% CI 0.44; 1.33) and DPP-4i (0.72, 0.06; 1.37) experienced a slower cognitive decline with time. Secondly, compared to DPP-4i, the use of insulin (−1.00, −1.95; −0.04) and sulfonylureas (−1.19; −2.33; −0.04) was associated with larger point-wise decrements in MMSE with annual intervals. Conclusions In this large cohort of patients with diabetes and dementia, the use of metformin and DPP-4i was associated with a slower decline in MMSE scores. Further examination of the cognitive effects of metformin and incretin-based medications is warranted. Supplementary Information The online version contains supplementary material available at 10.1186/s13195-021-00934-0.
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Affiliation(s)
- Juraj Secnik
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Neo, Blickagången 16, 14152, Huddinge, Sweden. .,Department of Neurology, Second Faculty of Medicine, Charles University, Motol University Hospital, Prague, Czech Republic.
| | - Hong Xu
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Neo, Blickagången 16, 14152, Huddinge, Sweden.,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Emilia Schwertner
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Neo, Blickagången 16, 14152, Huddinge, Sweden
| | - Niklas Hammar
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Michael Alvarsson
- Growth and Metabolism, Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Bengt Winblad
- Division of Neurogeriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.,Theme Aging, Karolinska University Hospital, Huddinge, Sweden
| | - Maria Eriksdotter
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Neo, Blickagången 16, 14152, Huddinge, Sweden.,Theme Aging, Karolinska University Hospital, Huddinge, Sweden
| | - Sara Garcia-Ptacek
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Neo, Blickagången 16, 14152, Huddinge, Sweden.,Theme Aging, Karolinska University Hospital, Huddinge, Sweden
| | - Dorota Religa
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Neo, Blickagången 16, 14152, Huddinge, Sweden.,Theme Aging, Karolinska University Hospital, Huddinge, Sweden
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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]
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Pilla SJ, Kraschnewski JL, Lehman EB, Kong L, Francis E, Poger JM, Bryce CL, Maruthur NM, Yeh HC. Hospital utilization for hypoglycemia among patients with type 2 diabetes using pooled data from six health systems. BMJ Open Diabetes Res Care 2021; 9:9/Suppl_1/e002153. [PMID: 34933872 PMCID: PMC8679092 DOI: 10.1136/bmjdrc-2021-002153] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Accepted: 07/19/2021] [Indexed: 12/30/2022] Open
Abstract
INTRODUCTION Hypoglycemia is the most common serious adverse effect of diabetes treatment and a major cause of medication-related hospitalization. This study aimed to identify trends and predictors of hospital utilization for hypoglycemia among patients with type 2 diabetes using electronic health record data pooled from six academic health systems. RESEARCH DESIGN AND METHODS This retrospective open cohort study included 549 041 adults with type 2 diabetes receiving regular care from the included health systems between 2009 and 2019. The primary outcome was the yearly event rate for hypoglycemia hospital utilization: emergency department visits, observation visits, or inpatient admissions for hypoglycemia identified using a validated International Classification of Diseases Ninth Revision (ICD-9) algorithm from 2009 to 2014. After the transition to ICD-10 in 2015, we used two ICD-10 code sets (limited and expanded) for hypoglycemia hospital utilization from prior studies. We identified independent predictors of hypoglycemia hospital utilization using multivariable logistic regression analysis with data from 2014. RESULTS Yearly rates of hypoglycemia hospital utilization decreased from 2.7 to 1.6 events per 1000 patients from 2009 to 2014 (p-trend=0.023). From 2016 to 2019, yearly event rates were stable ranging from 5.6 to 6.6, or 6.3 to 7.3, using the limited and expanded ICD-10 code sets, respectively. In 2014, the strongest independent risk factors for hypoglycemia hospital utilization were chronic kidney disease (OR 2.86, 95% CI 2.33 to 3.57), ages 18-39 years (OR 2.43 vs age 40-64 years, 95% CI 1.78 to 3.31), and insulin use (OR 2.13 vs no diabetes medications, 95% CI 1.67 to 2.73). CONCLUSIONS Rates of hypoglycemia hospital utilization decreased from 2009 to 2014 and varied considerably by clinical risk factors such that younger adults, insulin users, and those with chronic kidney disease were at especially high risk. There is a need to validate hypoglycemia ascertainment using ICD-10 codes, which detect a substantially higher number of events compared with ICD-9.
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Affiliation(s)
- Scott J Pilla
- Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland, USA
| | - Jennifer L Kraschnewski
- Department of Medicine, Penn State College of Medicine, Hershey, Pennsylvania, USA
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, Pennsylvania, USA
| | - Erik B Lehman
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, Pennsylvania, USA
| | - Lan Kong
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, Pennsylvania, USA
| | - Erica Francis
- Department of Medicine, Penn State College of Medicine, Hershey, Pennsylvania, USA
| | - Jennifer M Poger
- Department of Medicine, Penn State College of Medicine, Hershey, Pennsylvania, USA
| | - Cindy L Bryce
- Department of Health Policy and Management, University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania, USA
| | - Nisa M Maruthur
- Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland, USA
- Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Hsin-Chieh Yeh
- Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland, USA
- Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
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Strain WD, Morgan AR, Evans M. The Value of Insulin Degludec in Frail Older Adults with Type 2 Diabetes. Diabetes Ther 2021; 12:2817-2826. [PMID: 34608609 PMCID: PMC8489546 DOI: 10.1007/s13300-021-01162-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Accepted: 09/21/2021] [Indexed: 12/25/2022] Open
Abstract
Insulin represents a mainstay of glucose-lowering therapy for many adults with type 2 diabetes mellitus (T2DM). Insulin treatments prescribed as standard care for the majority of people with T2DM, such as basal human insulin, may not be optimal in the treatment of frail older adults because of the increased demand on health care staff to administer multiple daily injections and monitor the patient. When choosing an insulin regimen for a frail older person with T2DM, predictability of glucose lowering effect, risk of hypoglycaemia, ease of administration, and simplicity and flexibility of dosing are major determining factors. Multiple daily injections may be too complex for older frail adults, whilst providing an unnecessary degree of tight glycaemic control and low doses of once-daily basal insulin analogues such as insulin degludec may be a reasonable option as cognitive decline or functional disability increases. Although insulin degludec has a substantially higher acquisition cost than routinely used basal human insulin, it has a longer, more predictable pharmacological profile and is more amenable to once-daily administration, translating into a reduced burden of care and potential cost savings for insulin-treated frail older adults. Insulin acquisition cost represents only a small proportion of the total cost of treatment, and it is important to consider the value perspective of insulin therapy in frail older adults from all stakeholders in the health care system.
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Affiliation(s)
- W David Strain
- Diabetes and Vascular Research Centre, University of Exeter Medical School, and the Academic Department of Healthcare for Older Adults, Royal Devon & Exeter Hospital, Exeter, UK.
| | | | - Marc Evans
- Diabetes Resource Centre, University Hospital Llandough, Cardiff, UK
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Gómez-Martínez C, Babio N, Júlvez J, Becerra-Tomás N, Martínez-González MÁ, Corella D, Castañer O, Romaguera D, Vioque J, Alonso-Gómez ÁM, Wärnberg J, Martínez JA, Serra-Majem L, Estruch R, Tinahones FJ, Lapetra J, Pintó X, Tur JA, López-Miranda J, Bueno-Cavanillas A, Gaforio JJ, Matía-Martín P, Daimiel L, Martín-Sánchez V, Vidal J, Vázquez C, Ros E, Dalsgaard S, Sayón-Orea C, Sorlí JV, de la Torre R, Abete I, Tojal-Sierra L, Barón-López FJ, Fernández-Brufal N, Konieczna J, García-Ríos A, Sacanella E, Bernal-López MR, Santos-Lozano JM, Razquin C, Alvarez-Sala A, Goday A, Zulet MA, Vaquero-Luna J, Diez-Espino J, Cuenca-Royo A, Fernández-Aranda F, Bulló M, Salas-Salvadó J. Glycemic Dysregulations Are Associated With Worsening Cognitive Function in Older Participants at High Risk of Cardiovascular Disease: Two-Year Follow-up in the PREDIMED-Plus Study. Front Endocrinol (Lausanne) 2021; 12:754347. [PMID: 34777250 PMCID: PMC8586462 DOI: 10.3389/fendo.2021.754347] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 09/22/2021] [Indexed: 11/28/2022] Open
Abstract
Introduction Type 2 diabetes has been linked to greater cognitive decline, but other glycemic parameters such as prediabetes, diabetes control and treatment, and HOMA-IR and HbA1c diabetes-related biomarkers have shown inconsistent results. Furthermore, there is limited research assessing these relationships in short-term studies. Thus, we aimed to examine 2-year associations between baseline diabetes/glycemic status and changes in cognitive function in older participants at high risk of cardiovascular disease. Methods We conducted a 2-year prospective cohort study (n=6,874) within the framework of the PREDIMED-Plus study. The participants (with overweight/obesity and metabolic syndrome; mean age 64.9 years; 48.5% women) completed a battery of 8 cognitive tests, and a global cognitive function Z-score (GCF) was estimated. At baseline, participants were categorized by diabetes status (no-diabetes, prediabetes, and <5 or ≥5-year diabetes duration), and also by diabetes control. Furthermore, insulin resistance (HOMA-IR) and glycated hemoglobin (HbA1c) levels were measured, and antidiabetic medications were recorded. Linear and logistic regression models, adjusted by potential confounders, were fitted to assess associations between glycemic status and changes in cognitive function. Results Prediabetes status was unrelated to cognitive decline. However, compared to participants without diabetes, those with ≥5-year diabetes duration had greater reductions in GCF (β=-0.11 (95%CI -0.16;-0.06)], as well as in processing speed and executive function measurements. Inverse associations were observed between baseline HOMA-IR and changes in GCF [β=-0.0094 (95%CI -0.0164;-0.0023)], but also between HbA1c levels and changes in GCF [β=-0.0085 (95%CI -0.0115, -0.0055)], the Mini-Mental State Examination, and other executive function tests. Poor diabetes control was inversely associated with phonologic fluency. The use of insulin treatment was inversely related to cognitive function as measured by the GCF [β=-0.31 (95%CI -0.44, -0.18)], and other cognitive tests. Conclusions Insulin resistance, diabetes status, longer diabetes duration, poor glycemic control, and insulin treatment were associated with worsening cognitive function changes in the short term in a population at high cardiovascular risk. Clinical Trial Registration http://www.isrctn.com/ISRCTN89898870, identifier ISRCTN: 89898870.
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Affiliation(s)
- Carlos Gómez-Martínez
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari San Joan de Reus, Reus, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Nancy Babio
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari San Joan de Reus, Reus, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Nutrition Unit, University Hospital of Sant Joan de Reus, Reus, Spain
| | - Jordi Júlvez
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari San Joan de Reus, Reus, Spain
| | - Nerea Becerra-Tomás
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari San Joan de Reus, Reus, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Miguel Á. Martínez-González
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine and Public Health, Instituto de Investigación Sanitaria de Navarra (IdISNA), University of Navarra, Pamplona, Spain
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Dolores Corella
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Olga Castañer
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Research Institute (IMIM), Barcelona, Spain
| | - Dora Romaguera
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases, Palma, Spain
| | - Jesús Vioque
- CIBER de Epidemiología y Salud Pública (CIBERESP), ISCIII, Madrid, Spain
- Nutritional Epidemiology Unit, Miguel Hernandez University, Alicante, Spain
- Instituto de Investigación Sanitaria y Biomédica de Alicante-Universidad Miguel Hernández (ISABIAL-UMH), Alicante, Spain
| | - Ángel M. Alonso-Gómez
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country Universidad del País Vasco / Euskal Herriko Unibertsitatea (UPV/EHU), Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- EpiPHAAN Research Group, School of Health Sciences, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Malaga, Malaga, Spain
| | - José A. Martínez
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Nutrition, Food Science and Physiology, Instituto de Investigación Sanitaria de Navarra (IdISNA), University of Navarra, Pamplona, Spain
- Cardiometabolic Nutrition Group, Precision Nutrition and Cardiometabolic Health Program, IMDEA Food, Campus de Excelencia Internacional Universidad Autónoma de Madrid + Consejo Superior de Investigaciones Científicas (CEI UAM + CSIC), Madrid, Spain
| | - Luís Serra-Majem
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Institute of Biomedical and Health Sciences (IUIBS), Preventive Medicine Service, Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, University of Las Palmas de Gran Canaria, Las Palmas, Spain
| | - Ramón Estruch
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Internal Medicine, Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Francisco J. Tinahones
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA), Virgen de la Victoria Hospital, University of Malaga, Malaga, Spain
| | - José Lapetra
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Unit, Department of Family Medicine, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - Xavier Pintó
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge-IBIDELL, Hospitalet de Llobregat, Barcelona, Spain
- Universitat de Barcelona, Barcelona, Spain
| | - Josep A. Tur
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands-Instituto Universitario de Investigación en Ciencias de la Salud (IUNICS) & Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - José López-Miranda
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Aurora Bueno-Cavanillas
- CIBER de Epidemiología y Salud Pública (CIBERESP), ISCIII, Madrid, Spain
- Department of Preventive Medicine, University of Granada, Granada, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain
| | - José J. Gaforio
- CIBER de Epidemiología y Salud Pública (CIBERESP), ISCIII, Madrid, Spain
- Departamento de Ciencias de la Salud, Instituto Universitario de Investigación en Olivar y Aceites de Oliva, Universidad de Jaén, Jaén, Spain
| | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Lidia Daimiel
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Vicente Martín-Sánchez
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Institute of Biomedicine (IBIOMED), University of León, León, Spain
| | - Josep Vidal
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), ISCIII, Madrid, Spain
- Departament of Endocrinology, Instituto de Investigaciones Biomédicas August Pi i Sunyer (IDIBAPS), Hospital Clínic, University of Barcelona, Barcelona, Spain
| | - Clotilde Vázquez
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Endocrinology, Fundación Jiménez-Díaz, Madrid, Spain
| | - Emilio Ros
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Lipid Clinic, Department of Endocrinology and Nutrition, IDIBAPS, Hospital Clínic, Barcelona, Spain
| | - Søren Dalsgaard
- Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark
| | - Carmen Sayón-Orea
- Department of Preventive Medicine and Public Health, Instituto de Investigación Sanitaria de Navarra (IdISNA), University of Navarra, Pamplona, Spain
| | - José V. Sorlí
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Rafael de la Torre
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Integrated Pharmacology and Systems Neurosciences Research Group, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
- Departamento de Ciencias Experimentales y de la Salud (CEXS), Universitat Pompeu Fabra, Barcelona, Spain
| | - Itziar Abete
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Nutrition, Food Science and Physiology, Instituto de Investigación Sanitaria de Navarra (IdISNA), University of Navarra, Pamplona, Spain
| | - Lucas Tojal-Sierra
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country Universidad del País Vasco / Euskal Herriko Unibertsitatea (UPV/EHU), Vitoria-Gasteiz, Spain
| | - Francisco J. Barón-López
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- EpiPHAAN Research Group, School of Health Sciences, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Malaga, Malaga, Spain
| | | | - Jadwiga Konieczna
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases, Palma, Spain
| | - Antonio García-Ríos
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Emilio Sacanella
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Internal Medicine, Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - M. Rosa Bernal-López
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Internal Medicine, Regional University Hospital of Malaga, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Malaga, Malaga, Spain
| | - José M. Santos-Lozano
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Unit, Department of Family Medicine, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - Cristina Razquin
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine and Public Health, Instituto de Investigación Sanitaria de Navarra (IdISNA), University of Navarra, Pamplona, Spain
| | - Andrea Alvarez-Sala
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Albert Goday
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Research Institute (IMIM), Barcelona, Spain
| | - M. Angeles Zulet
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Nutrition, Food Science and Physiology, Instituto de Investigación Sanitaria de Navarra (IdISNA), University of Navarra, Pamplona, Spain
| | - Jessica Vaquero-Luna
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country Universidad del País Vasco / Euskal Herriko Unibertsitatea (UPV/EHU), Vitoria-Gasteiz, Spain
| | - Javier Diez-Espino
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine and Public Health, Instituto de Investigación Sanitaria de Navarra (IdISNA), University of Navarra, Pamplona, Spain
- Gerencia de Atención Primaria Servicio Navarro de Salud-Osasunbidea, Navarra, Spain
| | - Aida Cuenca-Royo
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Research Institute (IMIM), Barcelona, Spain
| | - Fernando Fernández-Aranda
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Psychiatry, University Hospital of Bellvitge-Instituto de Investigación Biomédica de Bellvitge (IDIBELL), Barcelona, Spain
- Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain
| | - Mònica Bulló
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari San Joan de Reus, Reus, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Jordi Salas-Salvadó
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari San Joan de Reus, Reus, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Nutrition Unit, University Hospital of Sant Joan de Reus, Reus, Spain
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Lu J, Wang C, Cai J, Shen Y, Chen L, Zhang L, Lu W, Zhu W, Hu G, Xia T, Zhou J. Association of HbA1c With All-cause Mortality Across Varying Degrees of Glycemic Variability in Type 2 Diabetes. J Clin Endocrinol Metab 2021; 106:3160-3167. [PMID: 34279663 PMCID: PMC8530707 DOI: 10.1210/clinem/dgab532] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Indexed: 11/19/2022]
Abstract
CONTEXT The interaction of glycated hemoglobin A1c (HbA1c) and glycemic variability in relation to diabetes-related outcomes remains unknown. OBJECTIVE To evaluate the relationship between HbA1c and all-cause mortality across varying degrees of glycemic variability in patients with type 2 diabetes. DESIGN, SETTING, AND PATIENTS This was a prospective study conducted in a single referral center. Data of 6090 hospitalized patients with type 2 diabetes was analyzed. Glucose coefficient of variation [coefficient of variation (CV)] was obtained as the measure of glycemic variability by using continuous glucose monitoring for 3 days. Cox proportional hazards regression models were used to estimate hazard ratios and 95% CIs for all-cause mortality. RESULTS During a median follow-up of 6.8 years, 815 patients died. In patients with the lowest and middle tertiles of glucose CV, HbA1c ≥ 8.0% was associated with 136% (95% CI 1.46-3.81) and 92% (95% CI 1.22-3.03) higher risks of all-cause mortality, respectively, as compared with HbA1c 6.0%-6.9%, after adjusting for confounders. However, a null association of HbA1c with mortality was found in patients with the highest tertile of glucose CV. CONCLUSIONS HbA1c may not be a robust marker of all-cause mortality in patients with high degree of glycemic variability. New metrics of glycemic control may be needed in these individuals to achieve better diabetes management.
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Affiliation(s)
- Jingyi Lu
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital; Shanghai Clinical Center for Diabetes; Shanghai Key Clinical Center for Metabolic Disease; Shanghai Diabetes Institute; Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, China
| | - Chunfang Wang
- Vital Statistical Department, Institute of Health Information, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Jinghao Cai
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital; Shanghai Clinical Center for Diabetes; Shanghai Key Clinical Center for Metabolic Disease; Shanghai Diabetes Institute; Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, China
| | - Yun Shen
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital; Shanghai Clinical Center for Diabetes; Shanghai Key Clinical Center for Metabolic Disease; Shanghai Diabetes Institute; Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, China
| | - Lei Chen
- Vital Statistical Department, Institute of Health Information, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Lei Zhang
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital; Shanghai Clinical Center for Diabetes; Shanghai Key Clinical Center for Metabolic Disease; Shanghai Diabetes Institute; Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, China
| | - Wei Lu
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital; Shanghai Clinical Center for Diabetes; Shanghai Key Clinical Center for Metabolic Disease; Shanghai Diabetes Institute; Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, China
| | - Wei Zhu
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital; Shanghai Clinical Center for Diabetes; Shanghai Key Clinical Center for Metabolic Disease; Shanghai Diabetes Institute; Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, China
| | - Gang Hu
- Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - Tian Xia
- Vital Statistical Department, Institute of Health Information, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Jian Zhou
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital; Shanghai Clinical Center for Diabetes; Shanghai Key Clinical Center for Metabolic Disease; Shanghai Diabetes Institute; Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, China
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Salawati E. Mental Wellbeing and Quality of Life Among Patients With Diabetes Suffering From Hypoglycaemia in Saudi Arabia. Cureus 2021; 13:e17586. [PMID: 34646639 PMCID: PMC8481740 DOI: 10.7759/cureus.17586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/30/2021] [Indexed: 11/05/2022] Open
Abstract
Background Diabetes mellitus is a global burden that is considered a major public health concern for many countries. Saudi Arabia is ranked second among the highest percentages of diabetes worldwide, with more than 7 million patients with diabetes reported in 2017, with an estimated prevalence to be around 14%. Psychological and mental health outcomes are poorer in patients with diabetes who are suffering from hypoglycaemia. The aim of the study was to investigate the mental wellbeing and quality of life of patients with diabetes suffering from hypoglycaemia in Saudi Arabia. Methods A cross-sectional study using an online self-administered questionnaire was conducted between the 13th of June and the 19th of July 2021 in Saudi Arabia. Results A total of 69.7% of the study participants scored below 13 on the WHO-5 scale, which indicates poor mental wellbeing status and possible depression, and reduced quality of life. A total of 67.8% of the study participants scored equal to or greater than 8 on the PAID-5 scale, which indicates possible diabetes-related emotional distress that warrants further assessment. The majority of the study participants (83.4%) scored equal to or greater than 28 on the fear of hypoglycaemia scale, which is classified as having fear of hypoglycaemia. Conclusion Depressive symptoms and reduced quality of life are common among patients with diabetes mellitus suffering from hypoglycaemia in Saudi Arabia.
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Affiliation(s)
- Emad Salawati
- Family Medicine, King Abdulaziz University Faculty of Medicine, Jeddah, SAU
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120
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Abstract
Gestational diabetes mellitus and prediabetes are 2 features with research evidence for association with development of diabetes in older women. What matters to older women determines goals of management, lifestyle interventions, and medications. A dearth of palliative guidelines for management of diabetes at the end of life makes management challenging.
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Piemonti L. Felix dies natalis, insulin… ceterum autem censeo "beta is better". Acta Diabetol 2021; 58:1287-1306. [PMID: 34027619 DOI: 10.1007/s00592-021-01737-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Accepted: 05/06/2021] [Indexed: 12/12/2022]
Abstract
One hundred years after its discovery, insulin remains the life-saving therapy for many patients with diabetes. It has been a 100-years-old success story thanks to the fact that insulin therapy has continuously integrated the knowledge developed over a century. In 1982, insulin becomes the first therapeutic protein to be produced using recombinant DNA technology. The first "mini" insulin pump and the first insulin pen become available in 1983 and 1985, respectively. In 1996, the first generation of insulin analogues were produced. In 1999, the first continuous glucose-monitoring device for reading interstitial glucose was approved by the FDA. In 2010s, the ultra-long action insulins were introduced. An equally exciting story developed in parallel. In 1966. Kelly et al. performed the first clinical pancreas transplant at the University of Minnesota, and now it is a well-established clinical option. First successful islet transplantations in humans were obtained in the late 1980s and 1990s. Their ability to consistently re-establish the endogenous insulin secretion was obtained in 2000s. More recently, the possibility to generate large numbers of functional human β cells from pluripotent stem cells was demonstrated, and the first clinical trial using stem cell-derived insulin producing cell was started in 2014. This year, the discovery of this life-saving hormone turns 100 years. This provides a unique opportunity not only to celebrate this extraordinary success story, but also to reflect on the limits of insulin therapy and renew the commitment of the scientific community to an insulin free world for our patients.
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Affiliation(s)
- Lorenzo Piemonti
- San Raffaele Diabetes Research Institute, San Raffaele Scientific Institute, IRCCS Ospedale San Raffaele, Via Olgettina 60, 20132, Milan, Italy.
- Università Vita-Salute San Raffaele, Milan, Italy.
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La Sala L, Pontiroli AE. New Fast Acting Glucagon for Recovery from Hypoglycemia, a Life-Threatening Situation: Nasal Powder and Injected Stable Solutions. Int J Mol Sci 2021; 22:ijms221910643. [PMID: 34638984 PMCID: PMC8508740 DOI: 10.3390/ijms221910643] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Revised: 09/27/2021] [Accepted: 09/29/2021] [Indexed: 12/12/2022] Open
Abstract
The goal of diabetes care is to achieve and maintain good glycemic control over time, so as to prevent or delay the development of micro- and macrovascular complications in type 1 (T1D) and type 2 diabetes (T2D). However, numerous barriers hinder the achievement of this goal, first of all the frequent episodes of hypoglycemia typical in patients treated with insulin as T1D patients, or sulphonylureas as T2D patients. The prevention strategy and treatment of hypoglycemia are important for the well-being of patients with diabetes. Hypoglycemia is strongly associated with an increased risk of cardiovascular disease in diabetic patients, due probably to the release of inflammatory markers and prothrombotic effects triggered by hypoglycemia. Treatment of hypoglycemia is traditionally based on administration of carbohydrates or of glucagon via intramuscular (IM) or subcutaneous injection (SC). The injection of traditional glucagon is cumbersome, such that glucagon is an under-utilized drug. In 1983, it was shown for the first time that intranasal (IN) glucagon increases blood glucose levels in healthy volunteers, and in 1989-1992 that IN glucagon is similar to IM glucagon in resolving hypoglycemia in normal volunteers and in patients with diabetes, both adults and children. IN glucagon was developed in 2010 and continued in 2015; in 2019 IN glucagon obtained approval in the US, Canada, and Europe for severe hypoglycemia in children and adults. In the 2010s, two ready-to-use injectable formulations, a stable non-aqueous glucagon solution and the glucagon analog dasiglucagon, were developed, showing an efficacy similar to traditional glucagon, and approved in the US in 2020 and in 2021, respectively, for severe hypoglycemia in adults and in children. Fast-acting glucagon (nasal administration and injected solutions) appears to represent a major breakthrough in the treatment of severe hypoglycemia in insulin-treated patients with diabetes, both adults and children. It is anticipated that the availability of fast-acting glucagon will expand the use of glucagon, improve overall metabolic control, and prevent hypoglycemia-related complications, in particular cardiovascular complications and cognitive impairment.
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Affiliation(s)
- Lucia La Sala
- IRCCS MultiMedica, Lab of Diabetology and Dysmetabolic Disease, PST Via Fantoli 16/15, 20138 Milan, Italy
- Correspondence: ; Tel.: +39-02-5540-6534 (ext. 6587)
| | - Antonio E. Pontiroli
- Dipartimento di Scienze della Salute, Università degli Studi di Milano, 20100 Milan, Italy;
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Saito T, Yamada T, Miyauchi Y, Emoto N, Okajima F. Analysis of Cognitive aging Estimated by the Japanese Version of the Montreal Cognitive Assessment in Patients Aged 75 years or Older with and Without Type 2 diabetes Mellitus. J NIPPON MED SCH 2021; 89:196-202. [PMID: 34526462 DOI: 10.1272/jnms.jnms.2022_89-215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
BACKGROUND The number of people diagnosed with dementia worldwide is set to increase significantly. While patients with dementia often have comorbidities, particularly diabetes, patients with type 2 diabetes mellitus (T2DM) have a high risk of cognitive decline. This study aimed to determine whether older people with T2DM exhibit specificity in cognitive function. METHODS The Montreal Cognitive Assessment (MoCA) is a well-known tool for examining mild cognitive impairment. The modified Japanese version (MoCA-J) has been confirmed as effective. We conducted an investigative survey to assess the cognitive function of Japanese individuals aged ≥75 years with and without T2DM, using the MoCA-J, and analyzed the results. RESULTS Thirty-three patients with T2DM and 23 non-DM patients completed the examination. Between both groups, a significant difference in the MoCA-J total scores was found. (T2DM mean, 21.4 ± 3.5; non-DM mean, 23.5 ± 3.6). Only 9% of patients with T2DM and 39% of those with non-DM showed scores ≥26, which is the cutoff point for mild cognitive impairment, whereas all patients had the ability of self-care. Additionally, older patients with T2DM had significantly lower delayed recall scores than the non-DM group. CONCLUSIONS Patients aged ≥75 years with T2DM might have lower cognition than those without T2DM; the inability to perform delayed recall in T2DM patients might denote a cognitive function decline.Therefore, compared with other patients, patients aged ≥75 years with T2DM need to receive individually tailored explanations about their care, based on their cognition.
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Affiliation(s)
- Taeko Saito
- Department of Nursing, Nippon Medical School Chiba Hokusoh Hospital
| | - Takehisa Yamada
- Department of Nephrology, Nippon Medical School Chiba Hokusoh Hospital
| | - Yasushi Miyauchi
- Department of Cardiovascular Medicine, Nippon Medical School Chiba Hokusoh Hospital
| | - Naoya Emoto
- Department of Diabetes, Endocrinology and Metabolism, Nippon Medical School Chiba Hokusoh Hospital.,Diabetes & Thyroid Clinic, Sakura Chuo Hospital
| | - Fumitaka Okajima
- Department of Diabetes, Endocrinology and Metabolism, Nippon Medical School Chiba Hokusoh Hospital
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Pickering J, Wong R, Al-Salami H, Lam V, Takechi R. Cognitive Deficits in Type-1 Diabetes: Aspects of Glucose, Cerebrovascular and Amyloid Involvement. Pharm Res 2021; 38:1477-1484. [PMID: 34480263 DOI: 10.1007/s11095-021-03100-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2021] [Accepted: 08/24/2021] [Indexed: 11/28/2022]
Abstract
The evidence shows that individuals with type-1 diabetes mellitus (T1DM) are at greater risk of accelerated cognitive impairment and dementia. Although, to date the mechanisms are largely unknown. An emerging body of literature indicates that dysfunction of cerebral neurovascular network and plasma dyshomeostasis of soluble amyloid-β in association with impaired lipid metabolism are central to the onset and progression of cognitive deficits and dementia. However, the latter has not been extensively considered in T1DM. Therefore, in this review, we summarised the literature concerning altered lipid metabolism and cerebrovascular function in T1DM as an implication for potential pathways leading to cognitive decline and dementia.
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Affiliation(s)
- Justin Pickering
- School of Population Health, Faculty of Health Sciences, Curtin University, Perth, WA, 6845, Australia
| | - Rachel Wong
- Institute for Resilient Regions, University of Southern Queensland, Springfield Central, QLD, 4300, Australia
| | - Hani Al-Salami
- Curtin Medical School, Faculty of Health Sciences, Curtin University, Perth, WA, 6845, Australia.,Curtin Health Innovation Research Institute, Curtin University, Perth, WA, 6845, Australia
| | - Virginie Lam
- School of Population Health, Faculty of Health Sciences, Curtin University, Perth, WA, 6845, Australia.,Curtin Medical School, Faculty of Health Sciences, Curtin University, Perth, WA, 6845, Australia
| | - Ryu Takechi
- School of Population Health, Faculty of Health Sciences, Curtin University, Perth, WA, 6845, Australia. .,Curtin Medical School, Faculty of Health Sciences, Curtin University, Perth, WA, 6845, Australia.
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125
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Kruger DF, Anderson JE. Continuous Glucose Monitoring (CGM) Is a Tool, Not a Reward: Unjustified Insurance Coverage Criteria Limit Access to CGM. Diabetes Technol Ther 2021; 23:S45-S55. [PMID: 34160300 DOI: 10.1089/dia.2021.0193] [Citation(s) in RCA: 3] [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] [Indexed: 01/21/2023]
Abstract
Recent studies have demonstrated the clinical utility of continuous glucose monitoring (CGM) use in type 2 diabetes (T2D) patients who are treated with intensive insulin management. Large retrospective database analyses of T2D patients treated with less-intensive therapies have also shown that CGM use was associated with significant reductions in hemoglobin A1c levels and health resource utilization, including diabetes-related hospitalizations and emergency room care. Despite the growing body of evidence supporting CGM use in the broader T2D population, current eligibility criteria required by public and many private insurers are denying millions of individuals with T2D access to this valuable technology. In this article, we discuss an evidence-based rationale for modifying current eligibility requirements for CGM coverage.
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Affiliation(s)
- Davida F Kruger
- Division of Endocrinology, Diabetes and Bone and Mineral, Henry Ford Health System, Detroit, Michigan, USA
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Porcellati F, Di Mauro S, Mazzieri A, Scamporrino A, Filippello A, De Fano M, Fanelli CG, Purrello F, Malaguarnera R, Piro S. Glucagon as a Therapeutic Approach to Severe Hypoglycemia: After 100 Years, Is It Still the Antidote of Insulin? Biomolecules 2021; 11:biom11091281. [PMID: 34572493 PMCID: PMC8464883 DOI: 10.3390/biom11091281] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Revised: 08/23/2021] [Accepted: 08/26/2021] [Indexed: 12/11/2022] Open
Abstract
Hypoglycemia represents a dark and tormented side of diabetes mellitus therapy. Patients treated with insulin or drug inducing hypoglycemia, consider hypoglycemia as a harmful element, which leads to their resistance and lack of acceptance of the pathology and relative therapies. Severe hypoglycemia, in itself, is a risk for patients and relatives. The possibility to have novel strategies and scientific knowledge concerning hypoglycemia could represent an enormous benefit. Novel available glucagon formulations, even now, allow clinicians to deal with hypoglycemia differently with respect to past years. Novel scientific evidence leads to advances concerning physiopathological mechanisms that regulated glycemic homeostasis. In this review, we will try to show some of the important aspects of this field.
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Affiliation(s)
- Francesca Porcellati
- Department of Medicine and Surgery, Perugia University School of Medicine, Via Gambuli 1, 06126 Perugia, Italy; (F.P.); (A.M.); (M.D.F.); (C.G.F.)
| | - Stefania Di Mauro
- Department of Clinical and Experimental Medicine, Internal Medicine, Garibaldi-Nesima Hospital, University of Catania, 95122 Catania, Italy; (S.D.M.); (A.S.); (A.F.); (F.P.); (S.P.)
| | - Alessio Mazzieri
- Department of Medicine and Surgery, Perugia University School of Medicine, Via Gambuli 1, 06126 Perugia, Italy; (F.P.); (A.M.); (M.D.F.); (C.G.F.)
| | - Alessandra Scamporrino
- Department of Clinical and Experimental Medicine, Internal Medicine, Garibaldi-Nesima Hospital, University of Catania, 95122 Catania, Italy; (S.D.M.); (A.S.); (A.F.); (F.P.); (S.P.)
| | - Agnese Filippello
- Department of Clinical and Experimental Medicine, Internal Medicine, Garibaldi-Nesima Hospital, University of Catania, 95122 Catania, Italy; (S.D.M.); (A.S.); (A.F.); (F.P.); (S.P.)
| | - Michelantonio De Fano
- Department of Medicine and Surgery, Perugia University School of Medicine, Via Gambuli 1, 06126 Perugia, Italy; (F.P.); (A.M.); (M.D.F.); (C.G.F.)
| | - Carmine Giuseppe Fanelli
- Department of Medicine and Surgery, Perugia University School of Medicine, Via Gambuli 1, 06126 Perugia, Italy; (F.P.); (A.M.); (M.D.F.); (C.G.F.)
| | - Francesco Purrello
- Department of Clinical and Experimental Medicine, Internal Medicine, Garibaldi-Nesima Hospital, University of Catania, 95122 Catania, Italy; (S.D.M.); (A.S.); (A.F.); (F.P.); (S.P.)
| | - Roberta Malaguarnera
- Faculty of Medicine and Surgery, University of Enna “Kore”, 94100 Enna, Italy
- Correspondence: ; Tel.: +39-0935-536577
| | - Salvatore Piro
- Department of Clinical and Experimental Medicine, Internal Medicine, Garibaldi-Nesima Hospital, University of Catania, 95122 Catania, Italy; (S.D.M.); (A.S.); (A.F.); (F.P.); (S.P.)
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Whitmer RA, Gilsanz P, Quesenberry CP, Karter AJ, Lacy ME. Association of Type 1 Diabetes and Hypoglycemic and Hyperglycemic Events and Risk of Dementia. Neurology 2021; 97:e275-e283. [PMID: 34078717 PMCID: PMC8302147 DOI: 10.1212/wnl.0000000000012243] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Accepted: 04/19/2021] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To determine whether severe hypoglycemic and hyperglycemic events are associated with longitudinal dementia risk in older adults with type 1 diabetes. METHODS A longitudinal cohort study followed up 2,821 members of an integrated health care delivery system with type 1 diabetes from 1997 to 2015. Hypoglycemic and hyperglycemic events requiring emergency room or hospitalization were abstracted from medical records beginning January 1, 1996, through cohort entry. Participants were followed up for dementia diagnosis through September 30, 2015. Dementia risk was examined with Cox proportional hazard models adjusted for age (as time scale), sex, race/ethnicity, hemoglobin A1c, depression, stroke, and nephropathy. RESULTS Among 2,821 older adults (mean age 56 years) with type 1 diabetes, 398 (14%) had a history of severe hypoglycemia, 335 (12%) had severe hyperglycemia, and 87 (3%) had both. Over a mean 6.9 years of follow-up, 153 individuals (5.4%) developed dementia. In fully adjusted models, individuals with hypoglycemic events had 66% greater risk of dementia than those without a hypoglycemic event (hazard ratio [HR] 1.66, 95% confidence interval [CI] 1.09, 2.53), while those with hyperglycemic events had >2 times the risk (HR 2.11, 95% CI 1.24, 3.59) than those without a hyperglycemic event. There was a 6-fold greater risk of dementia in individuals with both severe hypoglycemia and hyperglycemia vs those with neither (HR 6.20, 95% CI 3.02, 12.70). CONCLUSIONS For older individuals with type 1 diabetes, severe hypoglycemic and hyperglycemic events are associated with increased future risk of dementia.
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Affiliation(s)
- Rachel A Whitmer
- From the Division of Epidemiology (R.A.W.), Public Health Sciences, University of California Davis School of Medicine; Division of Research (R.A.W., P.G., C.P.Q., A.J.K., M.E.L.), Kaiser Permanente, Oakland, CA; Department of Epidemiology (M.E.L.), University of Kentucky, Lexington; and Department of Epidemiology and Biostatistics (M.E.L.), University of California, San Francisco.
| | - Paola Gilsanz
- From the Division of Epidemiology (R.A.W.), Public Health Sciences, University of California Davis School of Medicine; Division of Research (R.A.W., P.G., C.P.Q., A.J.K., M.E.L.), Kaiser Permanente, Oakland, CA; Department of Epidemiology (M.E.L.), University of Kentucky, Lexington; and Department of Epidemiology and Biostatistics (M.E.L.), University of California, San Francisco
| | - Charles P Quesenberry
- From the Division of Epidemiology (R.A.W.), Public Health Sciences, University of California Davis School of Medicine; Division of Research (R.A.W., P.G., C.P.Q., A.J.K., M.E.L.), Kaiser Permanente, Oakland, CA; Department of Epidemiology (M.E.L.), University of Kentucky, Lexington; and Department of Epidemiology and Biostatistics (M.E.L.), University of California, San Francisco
| | - Andrew J Karter
- From the Division of Epidemiology (R.A.W.), Public Health Sciences, University of California Davis School of Medicine; Division of Research (R.A.W., P.G., C.P.Q., A.J.K., M.E.L.), Kaiser Permanente, Oakland, CA; Department of Epidemiology (M.E.L.), University of Kentucky, Lexington; and Department of Epidemiology and Biostatistics (M.E.L.), University of California, San Francisco
| | - Mary E Lacy
- From the Division of Epidemiology (R.A.W.), Public Health Sciences, University of California Davis School of Medicine; Division of Research (R.A.W., P.G., C.P.Q., A.J.K., M.E.L.), Kaiser Permanente, Oakland, CA; Department of Epidemiology (M.E.L.), University of Kentucky, Lexington; and Department of Epidemiology and Biostatistics (M.E.L.), University of California, San Francisco
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Isaacs D, Clements J, Turco N, Hartman R. Glucagon: Its evolving role in the management of hypoglycemia. Pharmacotherapy 2021; 41:623-633. [PMID: 33963599 DOI: 10.1002/phar.2534] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 04/07/2021] [Accepted: 04/08/2021] [Indexed: 12/21/2022]
Abstract
More than 10% of the United States population has diabetes, characterized by hyperglycemia. Insulin and other agents used to treat diabetes predispose people to hypoglycemia, which can be life threatening. Glucagon is an emergency medication that can save lives by quickly raising glucose in people who are unconscious or unable to consume glucose due to severe hypoglycemia. Although glucagon has been commercially available since 1960, earlier formulations required reconstitution of a dry powder with diluent immediately prior to injection, due to lack of long-term stability once reconstituted. Glucagon has been underutilized due to the lack of confidence or ability to administer in emergency situations. More recently, new formulations including a nasal powder glucagon and liquid-stable glucagon have become available. This article discusses the evidence surrounding new glucagon formulations compared with the original glucagon emergency kit including ease of use, efficacy, and safety with a focus on important patient counseling points and relevant clinical information on hypoglycemia.
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Affiliation(s)
- Diana Isaacs
- Cleveland Clinic Diabetes Center, Cleveland, Ohio, USA
| | - Jennifer Clements
- Spartanburg Regional Healthcare System, Spartanburg, South Carolina, USA
| | | | - Rachel Hartman
- University of Findlay College of Pharmacy, Findlay, Ohio, USA
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129
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Chang PY, Wang ITI, Chiang CE, Chen CH, Yeh WY, Henderson VW, Tsai YW, Cheng HM. Vascular complications of diabetes: natural history and corresponding risks of dementia in a national cohort of adults with diabetes. Acta Diabetol 2021; 58:859-867. [PMID: 33624125 DOI: 10.1007/s00592-021-01685-y] [Citation(s) in RCA: 4] [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] [Received: 11/11/2020] [Accepted: 02/02/2021] [Indexed: 01/01/2023]
Abstract
AIMS This study aimed to determine the trajectory of diabetic vascular diseases and to investigate the association between vascular diseases and dementia. METHODS We included adults aged ≥ 50 years with newly diagnosed type 2 diabetes (n = 173,118) from 2001 to 2005 who were followed-up until December 31, 2013 in the Taiwan's National Health Insurance Research Database. Multivariable Cox regression models were constructed to estimate hazard ratios (HRs) and confidence limits (CLs) for all-cause dementia in relation to the number, types, and occurrence patterns of vascular disease. RESULTS Within 1 year of diabetes diagnosis, 26.3% of adults developed their first vascular disease. During the 1,864,279 person-years of follow-up, 17,426 adults had all-cause dementia, corresponding to an incidence of 97.9 cases/10,000 person-years in 127,718 adults with at least one vascular disease and 67.5 cases/10,000 person-years in 45,400 adults without vascular diseases. Across all age groups, adults who subsequently developed a vascular disease in two one-year windows since diabetes diagnosis had the highest incidence of all-cause dementia. In comparison with adults without vascular diseases, HR for all-cause dementia was 1.99 (CL: 1.92-2.07) for those with one vascular disease only; 2.04 (CL: 1.98-2.13) for two or more vascular diseases; 3.56 (CL: 3.44-3.70) for stroke only; and 2.06 (CL: 1.99-2.14) for neuropathy alone. Similar associations were also observed with a smaller magnitude for adults with nephropathy, retinopathy, cardiovascular disease, or peripheral arterial disease. CONCLUSIONS Patients with diabetes-related complications, particularly stroke and neuropathy, and those with rapidly developed vascular diseases appeared to have a high risk of dementia.
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Affiliation(s)
- Po-Yin Chang
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - I-T Ing Wang
- Institute of Health and Welfare Policy, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Chern-En Chiang
- Department of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- General Clinical Research Center, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Chen-Huan Chen
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Division of Faculty Development, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Wan-Yu Yeh
- Center for Evidence-Based Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Victor W Henderson
- Department of Health Research and Policy and Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Yi-Wen Tsai
- Institute of Health and Welfare Policy, National Yang Ming Chiao Tung University, Taipei, Taiwan.
| | - Hao-Min Cheng
- Division of Faculty Development, Taipei Veterans General Hospital, Taipei, Taiwan.
- Center for Evidence-Based Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
- Institute of Public Health, National Yang Ming Chiao Tung University, Taipei, Taiwan.
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130
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Lacy ME, Whitmer RA, Lee SJ, Rushakoff RJ, Pletcher MJ. Identifying Potential Intervention Points for Acute Hypoglycemic Events in Patients With Type 2 Diabetes Using Retrospective Clinical Data. Clin Diabetes 2021; 39:304-312. [PMID: 34421207 PMCID: PMC8329018 DOI: 10.2337/cd20-0057] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
This retrospective study examined changes in medication orders as a risk factor for future acute hypoglycemic events. The investigators identified factors associated with acute hypoglycemic events resulting in emergency department visits or inpatient admissions. Non-Hispanic Black race, chronic kidney disease, insulin at baseline, and nonprivate insurance were associated with higher risk of an acute hypoglycemic event, whereas age, sex, and A1C were not. After adjustment for other risk factors, changes in insulin orders after A1C measurement were associated with a 1.5 times higher risk of an acute hypoglycemia (adjusted hazard ratio 1.48, 95% CI 1.08-2.03). These results further understanding of risk factors and clinical processes relevant to predicting and preventing acute hypoglycemia.
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Affiliation(s)
- Mary E. Lacy
- University of Kentucky, Lexington, KY
- University of California, San Francisco, San Francisco, CA
| | - Rachel A. Whitmer
- Division of Epidemiology, Public Health Sciences, University of California Davis School of Medicine, Davis, CA
- Division of Research, Kaiser Permanente, Oakland, CA
| | - Sei J. Lee
- University of California, San Francisco, San Francisco, CA
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131
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Gentile S, Satta E, Strollo F, Guarino G, Romano C, Della Corte T, Alfarone C. Insulin-induced skin lipohypertrophies: A neglected cause of hypoglycemia in dialysed individuals with diabetes. Diabetes Metab Syndr 2021; 15:102145. [PMID: 34186346 DOI: 10.1016/j.dsx.2021.05.018] [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: 05/06/2020] [Revised: 05/11/2021] [Accepted: 05/12/2021] [Indexed: 11/22/2022]
Abstract
BACKGROUND Diabetes mellitus (DM) is the leading cause of end-stage renal disease and 50% of dialysis patients are insulin-treated. AIM to search for unexplained hypoglycemia (HYPO). METHODS identify a possible cause of HYPO due to altered insulin absorption. RESULTS insulin injected into subcutaneous lipo-hypertrophy (LH) nodules leads to unpredictable HYPOS. CONCLUSION looking for LH systematically and training patients to the best injection technique are new challenges for nephrologists to reduce HYPO and emergency hospitalization rates, thus sparing healthcare resources and improving the quality of life of insulin-treated dialysis patients.
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Affiliation(s)
- Sandro Gentile
- Nefrocenter Research Network & Nyx Innovative Research Start-Up, Naples, Italy; Department of Internal Medicine, Campania University "Luigi Vanvitelli", Naples, Italy
| | - Ersilia Satta
- Nefrocenter Research Network & Nyx Innovative Research Start-Up, Naples, Italy; Multi-specialty Nephrology Center (CNP) SrL, Frattamaggiore, Italy
| | - Felice Strollo
- Nefrocenter Research Network & Nyx Innovative Research Start-Up, Naples, Italy; Endocrinology and Diabetes, San Raffaele Termini Institute, Rome, Italy
| | - Giuseppina Guarino
- Department of Internal Medicine, Campania University "Luigi Vanvitelli", Naples, Italy
| | - Carmine Romano
- Nefrocenter Research Network & Nyx Innovative Research Start-Up, Naples, Italy
| | - Teresa Della Corte
- Nefrocenter Research Network & Nyx Innovative Research Start-Up, Naples, Italy; Department of Internal Medicine, Campania University "Luigi Vanvitelli", Naples, Italy.
| | - Carmelo Alfarone
- Nefrocenter Research Network & Nyx Innovative Research Start-Up, Naples, Italy
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132
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Zheng B, Su B, Price G, Tzoulaki I, Ahmadi-Abhari S, Middleton L. Glycemic Control, Diabetic Complications, and Risk of Dementia in Patients With Diabetes: Results From a Large U.K. Cohort Study. Diabetes Care 2021; 44:1556-1563. [PMID: 34035076 DOI: 10.2337/dc20-2850] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2020] [Accepted: 04/23/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Type 2 diabetes is an established risk factor for dementia. However, the roles of glycemic control and diabetic complications in the development of dementia have been less well substantiated. This large-scale cohort study aims to examine associations of longitudinal HbA1c levels and diabetic complications with the risk of dementia incidence among patients with type 2 diabetes. RESEARCH DESIGN AND METHODS Data of eligible patients with diabetes, aged ≥50 years in the U.K. Clinical Practice Research Datalink from 1987 to 2018, were analyzed. Time-varying Cox regressions were used to estimate adjusted hazard ratios (HRs) and 95% CIs for dementia risk. RESULTS Among 457,902 patients with diabetes, 28,627 (6.3%) incident dementia cases were observed during a median of 6 years' follow-up. Patients with recorded hypoglycemic events or microvascular complications were at higher risk of dementia incidence compared with those without such complications (HR 1.30 [95% CI 1.22-1.39] and 1.10 [1.06-1.14], respectively). The HbA1c level, modeled as a time-varying exposure, was associated with increased dementia risk (HR 1.08 [95% CI 1.07-1.09] per 1% HbA1c increment) among 372,287 patients with diabetes with postdiagnosis HbA1c records. Similarly, a higher coefficient of variation of HbA1c during the initial 3 years of follow-up was associated with higher subsequent dementia risk (HR 1.03 [95% CI 1.01-1.04] per 1-SD increment). CONCLUSIONS Higher or unstable HbA1c levels and the presence of diabetic complications in patients with type 2 diabetes are associated with increased dementia risk. Effective management of glycemia might have a significant role in maintaining cognitive health among older adults with diabetes.
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Affiliation(s)
- Bang Zheng
- Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, London, U.K
| | - Bowen Su
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, U.K
| | - Geraint Price
- Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, London, U.K
| | - Ioanna Tzoulaki
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, U.K
| | - Sara Ahmadi-Abhari
- Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, London, U.K
| | - Lefkos Middleton
- Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, London, U.K. .,Public Health Directorate, Imperial College Healthcare NHS Trust, London, U.K
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133
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Bachmann KN, Roumie CL, Wiese AD, Grijalva CG, Buse JB, Bradford R, Zalimeni EO, Knoepp P, Dard S, Morris HL, Donahoo WT, Fanous N, Fonseca V, Katalenich B, Choi S, Louzao D, O'Brien E, Cook MM, Rothman RL, Chakkalakal RJ. Diabetes medication regimens and patient clinical characteristics in the national patient-centered clinical research network, PCORnet. Pharmacol Res Perspect 2021; 8:e00637. [PMID: 32881317 PMCID: PMC7507366 DOI: 10.1002/prp2.637] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Revised: 07/13/2020] [Accepted: 07/14/2020] [Indexed: 01/14/2023] Open
Abstract
We used electronic medical record (EMR) data in the National Patient-Centered Clinical Research Network (PCORnet) to characterize "real-world" prescription patterns of Type 2 diabetes (T2D) medications. We identified a retrospective cohort of 613,203 adult patients with T2D from 33 datamarts (median patient number: 12,711) from 2012 through 2017 using a validated computable phenotype. We characterized outpatient T2D prescriptions for each patient in the 90 days before and after cohort entry, as well as demographics, comorbidities, non-T2D prescriptions, and clinical and laboratory variables in the 730 days prior to cohort entry. Approximately half of the individuals in the cohort were females and 20% Black. Hypertension (60.3%) and hyperlipidemia (50.5%) were highly prevalent. Most patients were prescribed either a single T2D drug class (42.2%) or had no evidence of a T2D prescription in the EMR (42.4%). A smaller percentage was prescribed multiple T2D drug types (15.4%). Among patients prescribed a single T2D drug type, metformin was the most common (42.6%), followed by insulin (18.2%) and sulfonylureas (13.9%). Newer classes represented approximately 13% of single T2D drug type prescriptions (dipeptidyl peptidase-4 inhibitors [6.6%], glucagon-like peptide-1 receptor agonists [2.5%], thiazolidinediones [2.0%], and sodium-glucose cotransporter-2 inhibitors [1.6%]). Among patients prescribed multiple T2D drug types, the most common combination was metformin and sulfonylureas (63.5%). Metformin-based regimens were highly prevalent in PCORnet's T2D population, whereas newer agents were prescribed less frequently. PCORnet is a novel source for the potential conduct of observational studies among patients with T2D.
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Affiliation(s)
- Katherine N Bachmann
- Veterans Health Administration, Tennessee Valley Healthcare System, Clinical Sciences Research and Development (CSR&D), Nashville, TN, USA.,Division of Diabetes, Endocrinology, and Metabolism, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Christianne L Roumie
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.,Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA.,Veterans Health Administration, Tennessee Valley Healthcare System, Geriatric Research Education Clinical Center (GRECC), Nashville, TN, USA
| | - Andrew D Wiese
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Carlos G Grijalva
- Veterans Health Administration, Tennessee Valley Healthcare System, Clinical Sciences Research and Development (CSR&D), Nashville, TN, USA.,Veterans Health Administration, Tennessee Valley Healthcare System, Geriatric Research Education Clinical Center (GRECC), Nashville, TN, USA.,Department of Health Policy, Vanderbilt University Medical Center, Nashville, TN, USA
| | - John B Buse
- Department of Medicine, University of North Carolina, NC, USA
| | - Robert Bradford
- North Carolina Translational and Clinical Sciences (NC TraCS) Institute, University of North Carolina, NC, USA
| | | | - Patricia Knoepp
- North Carolina Translational and Clinical Sciences (NC TraCS) Institute, University of North Carolina, NC, USA
| | - Sofia Dard
- North Carolina Translational and Clinical Sciences (NC TraCS) Institute, University of North Carolina, NC, USA
| | - Heather L Morris
- Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, USA
| | | | - Nada Fanous
- Department of Medicine, University of Florida, Gainesville, FL, USA
| | - Vivian Fonseca
- Section of Endocrinology and Metabolism, Tulane University School of Medicine, New Orleans, LA, USA
| | - Bonnie Katalenich
- LA CaTS Clinical Translational Unit, Tulane University School of Medicine, New Orleans, LA, USA
| | - Sujung Choi
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Darcy Louzao
- Duke Clinical Research Institute, Duke University Health System, Durham, NC, USA
| | - Emily O'Brien
- Duke Clinical Research Institute, Duke University Health System, Durham, NC, USA
| | - Megan M Cook
- Institute for Medicine and Public Health, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Russell L Rothman
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.,Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA.,Department of Health Policy, Vanderbilt University Medical Center, Nashville, TN, USA
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134
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Endo K, Itoh T, Tanno M, Ohno K, Hotta H, Kato N, Matsumoto T, Ooiwa H, Kubo H, Miki T. Characteristics of patients with emergency attendance for severe hypoglycemia and hyperglycemia in a general hospital in Japan. Medicine (Baltimore) 2021; 100:e26505. [PMID: 34160469 PMCID: PMC8238261 DOI: 10.1097/md.0000000000026505] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2020] [Accepted: 06/02/2021] [Indexed: 01/04/2023] Open
Abstract
Despite advances in treatments for diabetes mellitus (DM), severe acute glycemic crises still occur. In this study, the characteristics of patients who were transported to an emergency department due to acute glycemic crises were investigated.We enrolled patients who were transported to our hospital by ambulance due to hypoglycemia or hyperglycemia during the period from January 2015 to December 2019. Initial glucose levels below 70 mg/dL and above 250 mg/dL were defined as hypoglycemia and hyperglycemia, respectively.In the 5-year period, 16,910 patients were transported to our hospital by ambulance. Of those patients, 87 patients (0.51%) were diagnosed with hypoglycemia, 26 patients (0.15%) were diagnosed with hyperglycemia and 1 patient was diagnosed with lactic acidosis. Compared to patients with hypoglycemia, blood urea nitrogen, serum potassium and hemoglobin levels were higher in patients with hyperglycemia. Systolic blood pressure was lower and pulse rate was higher in patients with hyperglycemia, possibly reflecting dehydration in hyperglycemia. Patients with hyperglycemia were younger (63 vs 70 years old, median), more likely to be hospitalized (92.3% vs 23.0%) with poorer prognosis (23.1% vs 4.6%) than those with hypoglycemia. In 64 DM patients with hypoglycemia, 34 patients were treated with insulin and 24 patients were treated with sulfonylurea or glinide, and their medication was often inappropriate. Excessive alcohol intake and malnutrition were the main causes of hypoglycemia in 23 non-DM patients. The main reasons for hyperglycemia were interrupted treatment, forgetting insulin injection and infection.To avoid acute glycemic crises, optimization of anti-DM therapy and education of patients are needed.
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Affiliation(s)
- Keisuke Endo
- Department of Cardiology and Diabetes, Oji General Hospital, Tomakomai
- Department of Cardiovascular, Renal and Metabolic Medicine, Sapporo Medical University School of Medicine, Sapporo
| | - Takahito Itoh
- Department of Cardiology and Diabetes, Oji General Hospital, Tomakomai
| | - Masaya Tanno
- Department of Cardiovascular, Renal and Metabolic Medicine, Sapporo Medical University School of Medicine, Sapporo
| | - Kouhei Ohno
- Department of Cardiology and Diabetes, Oji General Hospital, Tomakomai
| | - Hiroyuki Hotta
- Department of Cardiology and Diabetes, Oji General Hospital, Tomakomai
| | - Nobuo Kato
- Department of Cardiology and Diabetes, Oji General Hospital, Tomakomai
| | - Tomoaki Matsumoto
- Department of Cardiology and Diabetes, Oji General Hospital, Tomakomai
| | - Hitoshi Ooiwa
- Department of Cardiology and Diabetes, Oji General Hospital, Tomakomai
| | - Hirofumi Kubo
- Medical Record Administration Center, Oji General Hospital, Tomakomai, Japan
| | - Takayuki Miki
- Department of Cardiology and Diabetes, Oji General Hospital, Tomakomai
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135
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Suzuki Y, Sakakibara M, Shiraishi N, Komiya H, Akishita M, Kuzuya M. Use of Anti-Dementia Drugs Reduces the Risk of Potentially Inappropriate Medications: A Secondary Analysis of a Nationwide Survey of Prescribing Pharmacies. Dement Geriatr Cogn Disord 2021; 49:526-532. [PMID: 33279893 PMCID: PMC7949214 DOI: 10.1159/000512043] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2020] [Accepted: 09/30/2020] [Indexed: 11/19/2022] Open
Abstract
AIMS As the number of older people with dementia increases, safe pharmacotherapy in this population has attracted attention in recent years. The aims of this study were to clarify the prescribing patterns in older patients who were prescribed anti-dementia drugs and to investigate the association of potentially inappropriate medications (PIMs) with the use of anti-dementia drugs. METHODS Adults aged ≥65 years, who were prescribed anti-dementia drugs at 585 pharmacies across Japan (N = 7,953), were surveyed. The percentage of prescriptions of anti-dementia drugs and the effect of those prescriptions on PIMs were investigated. RESULTS Prescriptions of anti-dementia drugs were found in 4.4% of the entire study population. A multiple logistic regression analysis revealed that the use of anti-dementia drugs reduced the risk of prescribing psychotropic drugs, which represented PIMs, and that a combination of anti-dementia drugs (e.g., cholineesterase inhibitor with memantine) may reduce the risk of prescribing PIMs compared with monotherapy. CONCLUSION The use of anti-dementia drugs was associated with fewer prescriptions of drugs considered as PIMs.
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Affiliation(s)
- Yusuke Suzuki
- Center for Community Liaison and Patient Consultations, Nagoya University Hospital, Nagoya, Japan,
| | | | - Nariaki Shiraishi
- Department of Rehabilitation, Faculty of Health Sciences, Nihon Fukushi University, Nihon, Japan
| | - Hitoshi Komiya
- Center for Community Liaison and Patient Consultations, Nagoya University Hospital, Nagoya, Japan
| | - Masahiro Akishita
- Department of Geriatric Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Masafumi Kuzuya
- Department of Community Healthcare and Geriatrics, Nagoya University Graduate School of Medicine, Nagoya, Japan
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136
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Secnik J, Xu H, Schwertner E, Hammar N, Alvarsson M, Winblad B, Eriksdotter M, Garcia-Ptacek S, Religa D. Dementia Diagnosis Is Associated with Changes in Antidiabetic Drug Prescription: An Open-Cohort Study of ∼130,000 Swedish Subjects over 14 Years. J Alzheimers Dis 2021; 76:1581-1594. [PMID: 32741836 PMCID: PMC7504989 DOI: 10.3233/jad-200618] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
BACKGROUND Care individualization dominates in clinical guidelines for cognitively impaired patients with diabetes; however, few studies examined such adaptations. OBJECTIVE Describe long-term pharmacological changes in diabetes treatment in subjects with and without dementia. METHODS We performed a registry-based cohort study on 133,318 Swedish subjects (12,284 [9.2%] with dementia) with type 2 or other/unspecified diabetes. Dementia status originated from the Swedish Dementia Registry, while the National Patient Register, Prescribed Drug Register, and Cause of Death Register provided data on diabetes, comorbidities, drug dispensation, and mortality. Drug dispensation interval comprised years between 2005 and 2018 and the dispensation was assessed relative to index date (dementia diagnosis) in full cohort and propensity-score (PS) matched cohorts. Annual changes of drug dispensation were analyzed by linear regression, while Cox and competing-risk regression were used to determine the probability of drug dispensation after index date in naïve subjects. Studied medications included insulin, metformin, sulfonylureas, thiazolidinediones, dipeptidyl-peptidase-4 inhibitors (DPP-4i), glucagon-like peptide-1 agonists (GLP-1a), and sodium-glucose cotransporter-2 inhibitors (SGLT-2i). RESULTS Dementia patients had higher probability of insulin dispensation (hazard ratio 1.21 [95% CI 1.11-1.31] and lower probability of DPP-4i (0.72 [0.66-0.79]), GLP-1a (0.51 [0.41-0.63]), and SGLT-2i dispensation (0.44 [0.36-0.54]) after index date. PS-matched analyses showed increased annual insulin dispensation (β difference 0.97%) and lower increase in DPP-4i (-0.58%), GLP-1a (-0.13%), and SGLT-2i (-0.21%) dispensation in dementia patients compared to dementia-free controls. CONCLUSION Dementia patients had lower probability of receiving newer antidiabetic drugs, with simultaneous higher insulin dispensation compared to dementia-free subjects.
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Affiliation(s)
- Juraj Secnik
- Department of Neurobiology, Center for Alzheimer Research, Division of Clinical Geriatrics, Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden
| | - Hong Xu
- Department of Neurobiology, Center for Alzheimer Research, Division of Clinical Geriatrics, Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden.,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Emilia Schwertner
- Department of Neurobiology, Center for Alzheimer Research, Division of Clinical Geriatrics, Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden
| | - Niklas Hammar
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Michael Alvarsson
- Department of Molecular Medicine and Surgery, Growth and Metabolism, Karolinska Institutet, Stockholm, Sweden
| | - Bengt Winblad
- Department of Neurobiology, Center for Alzheimer Research, Division of Neurogeriatrics, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.,Theme Aging, Karolinska University Hospital, Huddinge, Sweden
| | - Maria Eriksdotter
- Department of Neurobiology, Center for Alzheimer Research, Division of Clinical Geriatrics, Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden.,Theme Aging, Karolinska University Hospital, Huddinge, Sweden
| | - Sara Garcia-Ptacek
- Department of Neurobiology, Center for Alzheimer Research, Division of Clinical Geriatrics, Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden.,Department of Internal Medicine, Södersjukhuset, Section for Neurology, Stockholm, Sweden
| | - Dorota Religa
- Department of Neurobiology, Center for Alzheimer Research, Division of Clinical Geriatrics, Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden.,Theme Aging, Karolinska University Hospital, Huddinge, Sweden
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137
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Pilla SJ, Park J, Schwartz JL, Albert MC, Ephraim PL, Boulware LE, Mathioudakis NN, Maruthur NM, Beach MC, Greer RC. Hypoglycemia Communication in Primary Care Visits for Patients with Diabetes. J Gen Intern Med 2021; 36:1533-1542. [PMID: 33479925 PMCID: PMC8175615 DOI: 10.1007/s11606-020-06385-x] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Accepted: 12/02/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND Hypoglycemia is a common and serious adverse effect of diabetes treatment, especially for patients using insulin or insulin secretagogues. Guidelines recommend that these patients be assessed for interval hypoglycemic events at each clinical encounter and be provided anticipatory guidance for hypoglycemia prevention. OBJECTIVE To determine the frequency and content of hypoglycemia communication in primary care visits. DESIGN Qualitative study PARTICIPANTS: We examined 83 primary care visits from one urban health practice representing 8 clinicians and 33 patients using insulin or insulin secretagogues. APPROACH Using a directed content analysis approach, we analyzed audio-recorded primary care visits collected as part of the Achieving Blood Pressure Control Together study, a randomized trial of behavioral interventions for hypertension. The coding framework included communication about interval hypoglycemia, defined as discussion of hypoglycemic events or symptoms; the components of hypoglycemia anticipatory guidance in diabetes guidelines; and hypoglycemia unawareness. Hypoglycemia documentation in visit notes was compared to visit transcripts. KEY RESULTS Communication about interval hypoglycemia occurred in 24% of visits, and hypoglycemic events were reported in 16%. Despite patients voicing fear of hypoglycemia, clinicians rarely assessed hypoglycemia frequency, severity, or its impact on quality of life. Hypoglycemia anticipatory guidance was provided in 21% of visits which focused on diet and behavior change; clinicians rarely counseled on hypoglycemia treatment or avoidance of driving. Limited discussions of hypoglycemia unawareness occurred in 8% of visits. Documentation in visit notes had low sensitivity but high specificity for ascertaining interval hypoglycemia communication or hypoglycemic events, compared to visit transcripts. CONCLUSIONS In this high hypoglycemia risk population, communication about interval hypoglycemia and counseling for hypoglycemia prevention occurred in a minority of visits. There is a need to support clinicians to more regularly assess their patients' hypoglycemia burden and enhance counseling practices in order to optimize hypoglycemia prevention in primary care.
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Affiliation(s)
- Scott J Pilla
- Department of Medicine, Division of General Internal Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
- Welch Center for Prevention, Epidemiology & Clinical Research, Baltimore, MD, USA.
| | - Jenny Park
- Department of Medicine, Division of General Internal Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jessica L Schwartz
- Department of Medicine, Division of General Internal Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Michael C Albert
- Department of Medicine, Division of General Internal Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Johns Hopkins Community Physicians, Johns Hopkins University, Baltimore, MD, USA
| | - Patti L Ephraim
- Welch Center for Prevention, Epidemiology & Clinical Research, Baltimore, MD, USA
- Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - L Ebony Boulware
- Division of General Internal Medicine, Duke University, Durham, NC, USA
| | - Nestoras N Mathioudakis
- Department of Medicine, Division of Endocrinology, Diabetes, & Metabolism, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Nisa M Maruthur
- Department of Medicine, Division of General Internal Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Welch Center for Prevention, Epidemiology & Clinical Research, Baltimore, MD, USA
- Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Mary Catherine Beach
- Department of Medicine, Division of General Internal Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Welch Center for Prevention, Epidemiology & Clinical Research, Baltimore, MD, USA
- Department of Health, Behavior & Society, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Raquel C Greer
- Department of Medicine, Division of General Internal Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Welch Center for Prevention, Epidemiology & Clinical Research, Baltimore, MD, USA
- Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
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138
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Aberdeen H, Battles K, Taylor A, Garner-Donald J, Davis-Wilson A, Rogers BT, Cavalier C, Williams ED. The Aging Vasculature: Glucose Tolerance, Hypoglycemia and the Role of the Serum Response Factor. J Cardiovasc Dev Dis 2021; 8:58. [PMID: 34067715 PMCID: PMC8156687 DOI: 10.3390/jcdd8050058] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Revised: 03/16/2021] [Accepted: 03/23/2021] [Indexed: 12/17/2022] Open
Abstract
The fastest growing demographic in the U.S. at the present time is those aged 65 years and older. Accompanying advancing age are a myriad of physiological changes in which reserve capacity is diminished and homeostatic control attenuates. One facet of homeostatic control lost with advancing age is glucose tolerance. Nowhere is this more accentuated than in the high proportion of older Americans who are diabetic. Coupled with advancing age, diabetes predisposes affected subjects to the onset and progression of cardiovascular disease (CVD). In the treatment of type 2 diabetes, hypoglycemic episodes are a frequent clinical manifestation, which often result in more severe pathological outcomes compared to those observed in cases of insulin resistance, including premature appearance of biomarkers of senescence. Unfortunately, molecular mechanisms of hypoglycemia remain unclear and the subject of much debate. In this review, the molecular basis of the aging vasculature (endothelium) and how glycemic flux drives the appearance of cardiovascular lesions and injury are discussed. Further, we review the potential role of the serum response factor (SRF) in driving glycemic flux-related cellular signaling through its association with various proteins.
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Affiliation(s)
- Hazel Aberdeen
- Department of Biomedical Sciences, Baptist Health Sciences University, Memphis, TN 38103, USA; or
| | - Kaela Battles
- Department of Biology and Chemistry, Southern University and A&M College, Baton Rouge, LA 70813, USA; (K.B.); (A.T.); (J.G.-D.); (A.D.-W.); (B.T.R.); (C.C.)
| | - Ariana Taylor
- Department of Biology and Chemistry, Southern University and A&M College, Baton Rouge, LA 70813, USA; (K.B.); (A.T.); (J.G.-D.); (A.D.-W.); (B.T.R.); (C.C.)
| | - Jeranae Garner-Donald
- Department of Biology and Chemistry, Southern University and A&M College, Baton Rouge, LA 70813, USA; (K.B.); (A.T.); (J.G.-D.); (A.D.-W.); (B.T.R.); (C.C.)
| | - Ana Davis-Wilson
- Department of Biology and Chemistry, Southern University and A&M College, Baton Rouge, LA 70813, USA; (K.B.); (A.T.); (J.G.-D.); (A.D.-W.); (B.T.R.); (C.C.)
| | - Bryan T. Rogers
- Department of Biology and Chemistry, Southern University and A&M College, Baton Rouge, LA 70813, USA; (K.B.); (A.T.); (J.G.-D.); (A.D.-W.); (B.T.R.); (C.C.)
| | - Candice Cavalier
- Department of Biology and Chemistry, Southern University and A&M College, Baton Rouge, LA 70813, USA; (K.B.); (A.T.); (J.G.-D.); (A.D.-W.); (B.T.R.); (C.C.)
| | - Emmanuel D. Williams
- Department of Biology and Chemistry, Southern University and A&M College, Baton Rouge, LA 70813, USA; (K.B.); (A.T.); (J.G.-D.); (A.D.-W.); (B.T.R.); (C.C.)
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Pasciak WE, Berg DN, Cherlin E, Fried T, Lipska KJ. Qualitative analysis of reasons for hospitalization for severe hypoglycemia among older adults with diabetes. BMC Geriatr 2021; 21:318. [PMID: 34001014 PMCID: PMC8130109 DOI: 10.1186/s12877-021-02268-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2020] [Accepted: 05/06/2021] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Hospital admissions for severe hypoglycemia are associated with significant healthcare costs, decreased quality of life, and increased morbidity and mortality, especially for older adults with diabetes. Understanding the reasons for hypoglycemia hospitalization is essential for the development of effective interventions; yet, the causes and precipitants of hypoglycemia are not well understood. METHODS We conducted a qualitative study of non-nursing home patients aged 65 years or older without cognitive dysfunction admitted to a single tertiary-referral hospital with diabetes-related hypoglycemia. During the hospitalization, we conducted one-on-one, in-depth, semi-structured interviews to explore: (1) experiences with diabetes management among patients hospitalized for severe hypoglycemia; and (2) factors contributing and leading to the hypoglycemic event. Major themes and sub-themes were extracted using the constant comparative method by 3 study authors. RESULTS Among the 17 participants interviewed, the mean age was 78.9 years of age, 76.5% were female, 64.7% African American, 64.7% on insulin, and patients had an average of 13 chronic conditions. Patients reported: (1) surprise at hypoglycemia despite living with diabetes for many years; (2) adequate support, knowledge, and preparedness for hypoglycemia; (3) challenges balancing a diet that minimizes hyperglycemia and prevents hypoglycemia; (4) the belief that hyperglycemia necessitates medical intervention, but hypoglycemia does not; and (5) tension between clinician-prescribed treatment plans and self-management based on patients' experience. Notably, participants did not report the previously cited reasons for hypoglycemia, such as food insecurity, lack of support or knowledge, or treatment errors. CONCLUSIONS Our findings suggest that some hypoglycemic events may not be preventable, but in order to reduce the risk of hypoglycemia in older individuals at risk: (1) healthcare systems need to shift from their general emphasis on the avoidance of hyperglycemia towards the prevention of hypoglycemia; and (2) clinicians and patients need to work together to design treatment regimens that fit within patient capacity and are flexible enough to accommodate life's demands.
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Affiliation(s)
| | - David N Berg
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA.
| | - Emily Cherlin
- Yale School of Public Health and Yale Global Health Leadership Initiative, New Haven, CT, USA
| | - Terri Fried
- Clinical Epidemiology Research Center, VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Internal Medicine, Division of Geriatrics, Yale School of Medicine, New Haven, CT, USA
| | - Kasia J Lipska
- Department of Internal Medicine, Section of Endocrinology, Yale School of Medicine, New Haven, CT, USA
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Lega IC, Campitelli MA, Austin PC, Na Y, Zahedi A, Leung F, Yu C, Bronskill SE, Rochon PA, Lipscombe LL. Potential diabetes overtreatment and risk of adverse events among older adults in Ontario: a population-based study. Diabetologia 2021; 64:1093-1102. [PMID: 33491105 DOI: 10.1007/s00125-020-05370-7] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2020] [Accepted: 11/05/2020] [Indexed: 01/17/2023]
Abstract
AIMS/HYPOTHESIS More than 25% of older adults (age ≥75 years) have diabetes and may be at risk of adverse events related to treatment. The aim of this study was to assess the prevalence of intensive glycaemic control in this group, potential overtreatment among older adults and the impact of overtreatment on the risk of serious events. METHODS We conducted a retrospective, population-based cohort study of community-dwelling older adults in Ontario using administrative data. Participants were ≥75 years of age with diagnosed diabetes treated with at least one anti-hyperglycaemic agent between 2014 and 2015. Individuals were categorised as having intensive or conservative glycaemic control (HbA1c <53 mmol/mol [<7%] or 54-69 mmol/mol [7.1-8.5%], respectively), and as undergoing treatment with high-risk (i.e. insulin, sulfonylureas) or low-risk (other) agents. We measured the composite risk of emergency department visits, hospitalisations, or death within 30 days of reaching intensive glycaemic control with high-risk agents. RESULTS Among 108,620 older adults with diagnosed diabetes in Ontario, the mean (± SD) age was 80.6 (±4.5) years, 49.7% were female, and mean (± SD) diabetes duration was 13.7 (±6.3) years. Overall, 61% of individuals were treated to intensive glycaemic control and 21.6% were treated to intensive control using high-risk agents. Using inverse probability treatment weighting with propensity scores, intensive control with high-risk agents was associated with nearly 50% increased risk of the composite outcome compared with conservative glycaemic control with low-risk agents (RR 1.49, 95% CI 1.08, 2.05). CONCLUSIONS/INTERPRETATION Our findings underscore the need to re-evaluate glycaemic targets in older adults and to reconsider the use of anti-hyperglycaemic medications that may lead to hypoglycaemia, especially in setting of intensive glycaemic control.
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Affiliation(s)
- Iliana C Lega
- Women's College Research Institute, Women's College Hospital, Toronto, ON, Canada.
- Division of Endocrinology and Metabolism, Department of Medicine, University of Toronto, Toronto, ON, Canada.
- ICES, Toronto, ON, Canada.
| | | | | | - Yingbo Na
- Women's College Research Institute, Women's College Hospital, Toronto, ON, Canada
- ICES, Toronto, ON, Canada
| | - Afshan Zahedi
- Women's College Research Institute, Women's College Hospital, Toronto, ON, Canada
- Division of Endocrinology and Metabolism, Department of Medicine, University of Toronto, Toronto, ON, Canada
| | - Freda Leung
- Scarborough and Rouge Hospital, Toronto, ON, Canada
| | - Catherine Yu
- Division of Endocrinology and Metabolism, Department of Medicine, University of Toronto, Toronto, ON, Canada
- Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, ON, Canada
| | - Susan E Bronskill
- Women's College Research Institute, Women's College Hospital, Toronto, ON, Canada
- ICES, Toronto, ON, Canada
| | - Paula A Rochon
- Women's College Research Institute, Women's College Hospital, Toronto, ON, Canada
- ICES, Toronto, ON, Canada
- Division of Geriatric Medicine, Department of Medicine, University of Toronto, Toronto, ON, Canada
| | - Lorraine L Lipscombe
- Women's College Research Institute, Women's College Hospital, Toronto, ON, Canada
- Division of Endocrinology and Metabolism, Department of Medicine, University of Toronto, Toronto, ON, Canada
- ICES, Toronto, ON, Canada
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Bongaerts B, Arnold SV, Charbonnel BH, Chen H, Cooper A, Fenici P, Gomes M, Ji L, Khunti K, Kosiborod M, Medina J, Nicolucci A, Shestakova M, Shimomura I, Tang F, Watada H, Rathmann W. Inappropriate intensification of glucose-lowering treatment in older patients with type 2 diabetes: the global DISCOVER study. BMJ Open Diabetes Res Care 2021; 9:9/1/e001585. [PMID: 33941550 PMCID: PMC8098925 DOI: 10.1136/bmjdrc-2020-001585] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Revised: 03/25/2021] [Accepted: 04/02/2021] [Indexed: 01/19/2023] Open
Abstract
INTRODUCTION Although individualized target glycated hemoglobin (HbA1c) levels are recommended in older people with type 2 diabetes, studies report high levels of potential overtreatment. We aimed to investigate the proportion of older patients (aged ≥65 years) who potentially received an inappropriately intensive treatment (HbA1c level <7.0% (53.0 mmol/mol)) in a global study. Factors associated with intensive glycemic management and using glucose-lowering medications associated with a high risk of hypoglycemia (high-risk medications (insulin, sulfonylureas, and meglitinides)) were also assessed. RESEARCH DESIGN AND METHODS DISCOVER is a 3-year observational study program of 15 992 people with type 2 diabetes initiating second-line glucose-lowering therapy in 38 countries. Data were collected at baseline (initiation of second-line therapy) and at 6, 12, and 24 months. Factors associated with an inappropriately intensive treatment or using high-risk medications were assessed using a hierarchical regression model. RESULTS Of the 3344 older patients with baseline HbA1c data in our analytic cohort, 23.5% received inappropriate treatment intensification. Among those who had follow-up HbA1c data, 55.2%, 54.2%, and 53.5% were inappropriately tightly controlled at 6, 12, and 24 months, respectively, with higher proportions in high-income than in middle-income countries. The proportion of patients receiving high-risk medications was higher in middle-income countries than in high-income countries. Gross national income (per US$5000 increment) was associated with increased odds of inappropriately intensive treatment but with decreased odds of receiving high-risk medications. CONCLUSIONS A large proportion of older DISCOVER patients received an inappropriately intensive glucose-lowering treatment across the 2 years of follow-up, with substantial regional variation. The use of high-risk medications in these patients is particularly concerning.
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Affiliation(s)
- Brenda Bongaerts
- Institute for Biometrics and Epidemiology, German Diabetes Center Leibniz Institute for Diabetes Research at Heinrich Heine University Düsseldorf, Dusseldorf, Germany
| | - Suzanne V Arnold
- Saint Luke's Mid America Heart Institute, Kansas City, Missouri, USA
- University of Missouri Kansas City, Kansas City, Missouri, USA
| | | | | | | | | | - Marilia Gomes
- Internal Medicine, Rio de Janeiro State University, Rio de Janeiro, Brazil
| | - Linong Ji
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China
| | - Kamlesh Khunti
- Leicester Diabetes Centre, University of Leicester, Leicester, UK
| | - Mikhail Kosiborod
- Saint Luke's Mid America Heart Institute, Kansas City, Missouri, USA
- University of Missouri Kansas City, Kansas City, Missouri, USA
| | | | - Antonio Nicolucci
- Center for Outcomes Research and Clinical Epidemiology, Pescara, Italy
| | | | - Iichiro Shimomura
- Osaka University School of Medicine Graduate School of Medicine, Suita, Japan
| | - Fengming Tang
- Saint Luke's Mid America Heart Institute, Kansas City, Missouri, USA
| | - Hirotaka Watada
- Juntendo University School of Medicine Graduate School of Medicine, Bunkyo-ku, Japan
| | - Wolfgang Rathmann
- Institute for Biometrics and Epidemiology, German Diabetes Center Leibniz Institute for Diabetes Research at Heinrich Heine University Düsseldorf, Dusseldorf, Germany
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Gentile S, Guarino G, Della Corte T, Marino G, Satta E, Pasquarella M, Romano C, Alfrone C, Strollo F. Role of Structured Education in Reducing Lypodistrophy and its Metabolic Complications in Insulin-Treated People with Type 2 Diabetes: A Randomized Multicenter Case-Control Study. Diabetes Ther 2021; 12:1379-1398. [PMID: 33738775 PMCID: PMC8099954 DOI: 10.1007/s13300-021-01006-0] [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: 12/20/2020] [Accepted: 01/15/2021] [Indexed: 01/30/2023] Open
Abstract
INTRODUCTION It is essential to use the correct injection technique (IT) to avoid skin complications such as lipohypertrophy (LH), local inflammation, bruising, and consequent repeated unexplained hypoglycemia episodes (hypos) as well as high HbA1c (glycated hemoglobin) levels, glycemic variability (GV), and insulin doses. Structured education plays a prominent role in injection technique improvement. The aim was to assess the ability of structured education to reduce (i) GV and hypos, (ii) HbA1c levels, (iii) insulin daily doses, and (iv) overall healthcare-related costs in outpatients with T2DM who were erroneously injecting insulin into LH. METHODS 318 patients aged 19-75 years who had been diagnosed with T2DM for at least 5 years, were being treated with insulin, were routinely followed by a private network of healthcare centers, and who had easily seen and palpable LH nodules were included in the study. At the beginning of the 6-month run-in period (T-6), all patients were trained to perform structured self-monitoring of blood glucose and to monitor symptomatic and severe hypos (SyHs and SeHs, respectively). After that (at T0), the patients were randomly and equally divided into an intervention group who received appropriate IT education (IG) and a control group (CG), and were followed up for six months (until T+6). Healthcare cost calculations (including resource utilization, loss of productivity, and more) were carried out based on the average NHS reimbursement price list. RESULTS Baseline characteristics were the same for both groups. During follow-up, the intra-LH injection rate for the CG progressively decreased to 59.9% (p < 0.001), a much smaller decrease than seen for the IG (1.9%, p < 0.001). Only the IG presented significant decreases in HbA1c (8.2 ± 1.2% vs. 6.2 ± 0.9%; p < 0.01), GV (247 ± 61 mg/dl vs. 142 ± 31 mg/dl; p < 0.01), insulin requirement (- 20.7%, p < 0.001), and SeH and SyH prevalence (which dropped dramatically from 16.4 to 0.6% and from 83.7 to 7.6%, respectively; p < 0.001). In the IG group only, costs-including those due to the reduced insulin requirement-decreased significantly, especially those relating to SeHs and SyHs, which dropped to €25.8 and €602.5, respectively (p < 0.001). CONCLUSION Within a 6-month observation period, intensive structured education yielded consistently improved metabolic results and led to sharp decreases in the hypo rate and the insulin requirement. These improvements resulted in a parallel drop in overall healthcare costs, representing a tremendous economic advantage for the NHS. These positive results should encourage institutions to resolve the apparently intractable problem of LH by financially incentivizing healthcare teams to provide patients with intensive structured education on proper injection technique. TRIAL REGISTRATION Trial registration no. 118/15.04.2018, approved by the Scientific and Ethics Committee of Campania University "Luigi Vanvitelli," Naples, Italy, and by the institutional review board (IRB Min. no. 9926 dated 05.05.2018).
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Affiliation(s)
- Sandro Gentile
- Department of Internal Medicine, Campania University "Luigi Vanvitelli", Naples, Italy.
- Nefrocenter Research Network and Nyx Start-Up, Naples, Italy.
| | - Giuseppina Guarino
- Department of Internal Medicine, Campania University "Luigi Vanvitelli", Naples, Italy
- Nefrocenter Research Network and Nyx Start-Up, Naples, Italy
| | - Teresa Della Corte
- Department of Internal Medicine, Campania University "Luigi Vanvitelli", Naples, Italy
- Nefrocenter Research Network and Nyx Start-Up, Naples, Italy
| | - Giampiero Marino
- Department of Internal Medicine, Campania University "Luigi Vanvitelli", Naples, Italy
- Nefrocenter Research Network and Nyx Start-Up, Naples, Italy
| | - Ersilia Satta
- Nefrocenter Research Network and Nyx Start-Up, Naples, Italy
| | | | - Carmine Romano
- Nefrocenter Research Network and Nyx Start-Up, Naples, Italy
| | - Carmelo Alfrone
- Nefrocenter Research Network and Nyx Start-Up, Naples, Italy
| | - Felice Strollo
- Endocrinology and Diabetes, IRCCS San Raffaele Pisana, Rome, Italy
- Nefrocenter Research Network and Nyx Start-Up, Naples, Italy
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Chung H, Lee J, Kim J, Roh E, Lee YB, Hong SH, Yu J, Kim N, Yoo H, Seo J, Kim S, Kim N, Baik S, Choi K. Fasting plasma glucose variability in midlife and risk of Parkinson's disease: A nationwide population-based study. DIABETES & METABOLISM 2021; 47:101195. [DOI: 10.1016/j.diabet.2020.08.006] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Revised: 07/15/2020] [Accepted: 08/14/2020] [Indexed: 12/15/2022]
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Scheen AJ. Careful use to minimize adverse events of oral antidiabetic medications in the elderly. Expert Opin Pharmacother 2021; 22:2149-2165. [PMID: 33823723 DOI: 10.1080/14656566.2021.1912735] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
INTRODUCTION An increasing number of older patients has type 2 diabetes treated with different oral antidiabetic agents whose safety may raise concern considering some particularities of a heterogeneous elderly population. AREAS COVERED This article discusses some characteristics of older patients that could increase the risk of adverse events, with a focus on hypoglycemia. It describes the most frequent and/or severe complications reported in the elderly in both randomized controlled trials and observational studies with metformin, sulfonylureas, meglitinides, alpha-glucosidase inhibitors, thiazolidinediones, dipeptidyl peptidase-4 inhibitors (gliptins) and sodium-glucose cotransporter type 2 inhibitors (gliflozins). EXPERT OPINION Old patients may present comorbidities (renal impairment, vascular disease, heart failure, risk of dehydration, osteoporosis, cognitive dysfunction) that could increase the risk of severe adverse events. Sulfonylureas (and meglitinides) induce hypoglycemia, which may be associated with falls/fractures and cardiovascular events. Medications lacking hypoglycemia should be preferred. Gliptins appear to have the best tolerance/safety profile whereas gliflozins exert a cardiorenal protection. However, data are lacking in very old or frailty old patients so that caution and appropriate supervision of such patients are required. Taking advantage of a large choice of pharmacotherapies, personalized treatment is recommended based upon both drug safety profiles and old patient individual characteristics.
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Affiliation(s)
- André J Scheen
- Division of Clinical Pharmacology, Centre for Interdisciplinary Research on Medicines (CIRM), University of Liège, Liège, Belgium.,Division of Diabetes, Nutrition and Metabolic Disorders, Department of Medicine, CHU Liège, Liège, Belgium
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145
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Liu CC, Liu CH, Sun Y, Lee HJ, Tang LY, Chiu MJ. Rural-urban disparities in the prevalence of mild cognitive impairment and dementia in Taiwan: A door-to-door nationwide study. J Epidemiol 2021; 32:502-509. [PMID: 33840652 DOI: 10.2188/jea.je20200602] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Screening or diagnosis for the elderly with dementia in rural regions might be delayed and underestimated due to limited utilization of healthcare resources. This study aimed to evaluate the disparities of prevalence and risk factors of mild cognitive impairment (MCI) and dementia between urban and rural residence. METHODS In this nationwide door-to-door survey, 10,432 participants aged 65 years and more were selected by computerized random sampling from all administrative districts in Taiwan and were assessed by an in-person interview. We calculated the prevalence of MCI and dementia with their risk factors examined by multivariable logistic regression. RESULTS The prevalence of dementia in rural, suburban, and urban areas among the elderly was 8.69% (95% CI, 8.68-8.69), 6.63% (95% CI, 6.62-6.63), and 4.46% (95% CI, 4.46-4.47), respectively. A similar rural-suburban-urban gradient relationship on the dementia prevalence was observed in any age and sex group. The rural/urban ratio was higher in women than in men for both MCI and dementia. Urbanization remained to be an independent factor for both MCI and dementia after adjustment for age, gender, education, lifestyle, and health status. The beneficial effects of exercise on dementia were more evident in rural areas than in urban ones. CONCLUSIONS Significantly higher prevalence of MCI and dementia were found in rural areas than in urban ones, especially for women. The odds of risk factors for MCI and dementia varied between urbanization statuses. Focus on the rural-urban inequality and the modification of associated factors specifically for different urbanization levels are needed.
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Affiliation(s)
- Chih-Ching Liu
- Department of Healthcare Administration, College of Medical and Health Science, Asia University
| | - Chien-Hui Liu
- School of Nursing, National Yang Ming Chiao Tung University
| | - Yu Sun
- Department of Neurology, En Chu Kong Hospital
| | | | | | - Ming-Jang Chiu
- Department of Neurology, National Taiwan University Hospital, College of Medicine, National Taiwan University.,Graduate Institute of Brain and Mind Sciences, College of Medicine, National Taiwan University.,Graduate Institute of Psychology, College of Science, National Taiwan University.,Graduate Institute of Biomedical Electronics and Bioinformatics; National Taiwan University
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146
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Komorita Y, Minami M, Maeda Y, Yoshioka R, Ohkuma T, Kitazono T. Prevalence of bone fracture and its association with severe hypoglycemia in Japanese patients with type 1 diabetes. BMJ Open Diabetes Res Care 2021; 9:e002099. [PMID: 33888545 PMCID: PMC8070870 DOI: 10.1136/bmjdrc-2020-002099] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/25/2020] [Revised: 03/09/2021] [Accepted: 04/05/2021] [Indexed: 12/15/2022] Open
Abstract
INTRODUCTION Type 1 diabetes (T1D) is associated with higher fracture risk. However, few studies have investigated the relationship between severe hypoglycemia and fracture risk in patients with T1D, and the results are controversial. Besides, none has investigated the risk factors for fracture in Asian patients with T1D. The aim of the present study was to investigate the prevalence of bone fracture and its relationship between severe hypoglycemia and other risk factors in Japanese patients with T1D. RESEARCH DESIGN AND METHODS The single-center cross-sectional study enrolled 388 Japanese patients with T1D (mean age, 45.2 years; women, 60.4%; mean duration of diabetes, 16.6 years) between October 2019 and April 2020. The occurrence and circumstances of any fracture after the diagnosis of T1D were identified using a self-administered questionnaire. The main outcomes were any anatomic site of fracture and fall-related fracture. Severe hypoglycemia was defined as an episode of hypoglycemia that required the assistance of others to achieve recovery. RESULTS A total of 92 fractures occurred in 64 patients, and 59 fractures (64%) were fall-related. Only one participant experienced fracture within the 10 years following their diagnosis of diabetes. In logistic regression analysis, the multivariate-adjusted ORs (95% CIs) of a history of severe hypoglycemia were 2.11 (1.11 to 4.09) for any fracture and 1.91 (0.93 to 4.02) for fall-related fracture. Fourteen of 18 participants with multiple episodes of any type of fracture had a history of severe hypoglycemia (p<0.001 vs no fracture). CONCLUSIONS We have shown that a history of severe hypoglycemia is significantly associated with a higher risk of bone fracture in Japanese patients with T1D.
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Affiliation(s)
- Yuji Komorita
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
- Minami Diabetes Clinical Research Center, Fukuoka, Japan
| | - Masae Minami
- Minami Diabetes Clinical Research Center, Fukuoka, Japan
- Clinic Masae Minami, Fukuoka, Japan
| | - Yasutaka Maeda
- Minami Diabetes Clinical Research Center, Fukuoka, Japan
- Clinic Masae Minami, Fukuoka, Japan
| | - Rie Yoshioka
- Minami Diabetes Clinical Research Center, Fukuoka, Japan
- Clinic Masae Minami, Fukuoka, Japan
| | - Toshiaki Ohkuma
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Takanari Kitazono
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
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Mühlbacher AC, Sadler A, Juhnke C. Personalized diabetes management: what do patients with diabetes mellitus prefer? A discrete choice experiment. THE EUROPEAN JOURNAL OF HEALTH ECONOMICS : HEPAC : HEALTH ECONOMICS IN PREVENTION AND CARE 2021; 22:425-443. [PMID: 33587221 PMCID: PMC7954752 DOI: 10.1007/s10198-021-01264-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/18/2018] [Accepted: 01/13/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND There are unresolved procedural and medical problems in the care of diabetes, which cause high costs for health systems. These include the inadequate glycemic adjustment, care gaps, therapeutic inertia, and a lack of motivation. Personalized diabetes management can be seen as a kind of "standard process" that provides both physicians and patients with a framework. The aim of this empirical survey is the evaluation of patient preferences regarding personalized diabetes management. The purpose of this experiment is to demonstrate the properties of the programs that are relevant for the choice of insulin-based therapy regimens for patients with type II diabetes mellitus. METHODS A discrete choice experiment (DCE) was applied to identify preferences for a personalized diabetes management in patients with type II diabetes mellitus. Six attributes were included. The DCE was conducted in June 2017 using a fractional factorial design, and the statistical data analysis used random effect logit models. RESULTS N = 227 patients (66.1% male) were included. The preference analysis showed dominance for the attribute "occurrence of severe hypoglycemias per year" [level difference (LD) 2765]. Preference analysis also showed that participants weight the "risk of myocardial infarction (over 10 years)" (LD 1.854) highest among the side effects. Within the effectiveness criterion of "change in the long-term blood glucose level (HbA1c)" a change at an initial value of 9.5% (LD 1.146) is weighted slightly higher than changes at 7.5% (LD 1.141). Within the random parameter logit estimation, all coefficients proved to be significantly different from zero at the level p ≤ 0.01. The latent class analysis shows three heterogeneous classes, each showing clearly different weights of the therapeutic properties. This results in a clear three-folding: for 1/3 of the respondents the change of the long-term blood sugar (HbA1c value) is the top objective. Another third is solely interested in the short-term effectiveness of the therapy in the sense of the occurrence of severe hypoglycemias per year. The last third of the interviewees finally focuses on the follow-up regarding cardiovascular events. Overall, there were five structural and personality traits which have an influence on the respective probability of the class membership. DISCUSSION/CONCLUSION This study identifies and weights the key decision-making criteria for optimal management of diabetes from the perspective of patients. It was shown that the effectiveness of a care program is the most important from the perspective of the patient and avoiding severe a hypoglycemia has the greatest influence on the choice. The risk of myocardial infarction as a follow-up disease and the long-term adjustment of the blood glucose follow the importance. In the analysis of possible subgroup differences by means of latent class analysis, it was found that three preference patterns exist within the sample. The generated preference data can be used for the design of personalized management approaches. It remains open to the extent to which expert opinions and patient preferences diverge.
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Affiliation(s)
- Axel C Mühlbacher
- Gesundheitsökonomie und Medizinmanagement, Hochschule Neubrandenburg, Brodaer Straße 2, 17033, Neubrandenburg, Germany.
- Gesellschaft Für Empirische Beratung GmbH (GEB), Freiburg, Germany.
- Department of Population Health Sciences, Duke University, Durham, NC, USA.
| | - Andrew Sadler
- Gesundheitsökonomie und Medizinmanagement, Hochschule Neubrandenburg, Brodaer Straße 2, 17033, Neubrandenburg, Germany
| | - Christin Juhnke
- Gesundheitsökonomie und Medizinmanagement, Hochschule Neubrandenburg, Brodaer Straße 2, 17033, Neubrandenburg, Germany
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Anderson J, Meneghini L, Hinnen D, Gill J, Coudert M, Evenou P, Munshi M. Target attainment in insulin-naive patients at high risk for hypoglycemia: Results from ACHIEVE Control. J Diabetes Complications 2021; 35:107831. [PMID: 33509703 DOI: 10.1016/j.jdiacomp.2020.107831] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Revised: 12/02/2020] [Accepted: 12/17/2020] [Indexed: 10/22/2022]
Abstract
AIMS To better understand outcomes in people with type 2 diabetes at high risk of hypoglycemia, we conducted post hoc analyses in subgroups of participants from the real-world ACHIEVE Control study (NCT02451137) with ≥1 hypoglycemia risk factor. METHODS Insulin-naive adults with type 2 diabetes and A1c ≥8% were randomized 1:1 to insulin glargine 300 U/mL (Gla-300) or standard-of-care basal insulin (SOC-BI). Participants had documented history of ≥1 risk factors for hypoglycemia: chronic kidney disease, cardiovascular disease, dementia or blindness, age ≥65 years, or history of hypoglycemia. Outcomes included individualized A1c target attainment without documented symptomatic hypoglycemia (blood glucose [BG] ≤3.9 mmol/L or <3.0 mmol/L) or severe hypoglycemia, A1c target attainment, and absence of documented symptomatic or severe hypoglycemia at 6 and 12 months. RESULTS Within subgroups, odds ratios generally showed trends favoring Gla-300 versus SOC-BI, particularly for hypoglycemia avoidance in participants ≥65 years of age (BG ≤3.9 mmol/L; odds ratio, 1.52; 95% confidence interval, 1.14-2.03) and those with chronic kidney disease (BG ≤3.9 mmol/L; odds ratio, 2.28; 95% confidence interval, 1.26-4.12). Results were consistent with the overall population. CONCLUSIONS These data suggest potential benefit of Gla-300 versus SOC-BI for avoiding hypoglycemia in participants with ≥1 hypoglycemia risk factor.
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Affiliation(s)
- John Anderson
- The Frist Clinic, 2400 Patterson Street, Suite 400, Nashville, TN, USA.
| | - Luigi Meneghini
- University of Texas Southwestern Medical Center and Parkland Health & Hospital System, 5323 Harry Hines Boulevard, Dallas, TX, USA.
| | - Debbie Hinnen
- Memorial Hospital Diabetes Center, University of Colorado Health, 175 S Union Boulevard, Suite 305, Colorado Springs, CO, USA.
| | | | - Mathieu Coudert
- Sanofi, 1 Avenue Pierre Brossolette, Chilly-Mazarin, France.
| | - Pierre Evenou
- Sanofi, 410 Thames Valley Park Drive, Reading, Berkshire, UK.
| | - Medha Munshi
- Joslin Diabetes Center, 1 Joslin Place, Boston, MA, USA.
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149
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Li CY, Kuo CL, Chang YH, Lu CL, Martini S, Hou WH. Association between trajectory of severe hypoglycemia and dementia in patients with type 2 diabetes: A population-based study. J Epidemiol 2021; 32:423-430. [PMID: 33678721 PMCID: PMC9359896 DOI: 10.2188/jea.je20200518] [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] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Abstract
Background We aimed to investigate associations between exposure to various trajectories of severe hypoglycemic events and risk of dementia in patients with type 2 diabetes. Methods In 2002–2003, 677,618 patients in Taiwan were newly diagnosed as having type 2 diabetes. Among them, 35,720 (5.3%) experienced severe hypoglycemic events during the 3-year baseline period following diagnosis. All patients were followed from the first day after baseline period to the date of dementia diagnosis, death, or the end of 2011. A group-based trajectory model was used to classify individuals with severe hypoglycemic events during the baseline period. Cox proportional hazard models with the competing risk method were used to relate dementia risk to various severe hypoglycemia trajectories. Results After a median follow-up 6.70 and 6.10 years for patients with and without severe hypoglycemia at baseline, respectively, 1,952 (5.5%) individuals with severe hypoglycemia and 23,492 (3.7%) without developed dementia during follow-up, for incidence rates of 109.80 and 61.88 per 10,000 person-years, respectively. Four groups of severe hypoglycemia trajectory were identified with a proportion of 18.06%, 33.19%, 43.25%, and 5.50%, respectively, for Groups 1 to 4. Groups 3 (early manifestation but with later decrease) and 4 (early and sustained manifestation) were associated with a significantly increased risk of dementia diagnosis, with a covariate-adjusted subdistribution hazard ratio of 1.22 (95% confidence interval, 1.14–1.31) and 1.25 (95% confidence interval, 1.02–1.54), respectively. Conclusion Our analysis highlighted that early manifestation of severe hypoglycemic events may contribute more than does late manifestation to the risk of dementia among individuals newly diagnosed as having type 2 diabetes.
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Affiliation(s)
- Chung-Yi Li
- Department of Public Health, College of Medicine, National Cheng Kung University.,Department of Epidemiology, Faculty of Public Health, Universitas Airlangga.,Department of Public Health, College of Public Health, China Medical University.,Department of Healthcare Administration, College of Medical and Health Science, Asia University
| | - Chia-Lun Kuo
- Department of Public Health, College of Medicine, National Cheng Kung University.,Department of Psychiatry, Tsaotun Psychiatric Center, Ministry of Health and Welfare
| | - Ya-Hui Chang
- Department of Public Health, College of Medicine, National Cheng Kung University
| | - Chin-Li Lu
- Graduate Institute of Food Safety, College of Agriculture and Natural Resources, National Chung Hsing University
| | - Santi Martini
- Department of Epidemiology, Faculty of Public Health, Universitas Airlangga
| | - Wen-Hsuan Hou
- School of Gerontology Health Management & Master Program in Long-Term Care, College of Nursing, Taipei Medical University.,Department of Physical Medicine and Rehabilitation, Taipei Medical University Hospital.,Graduate Institute of Clinical Medicine, College of Medicine, Taipei Medical University.,Center of Evidence-Based Medicine, Department of Education, Taipei Medical University Hospital
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150
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Tang X, Cardoso MA, Yang J, Zhou JB, Simó R. Impact of Intensive Glucose Control on Brain Health: Meta-Analysis of Cumulative Data from 16,584 Patients with Type 2 Diabetes Mellitus. Diabetes Ther 2021; 12:765-779. [PMID: 33548021 PMCID: PMC7947088 DOI: 10.1007/s13300-021-01009-x] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2020] [Accepted: 01/23/2021] [Indexed: 01/11/2023] Open
Abstract
INTRODUCTION Despite growing evidence that type 2 diabetes is associated with dementia, the question of whether intensive glucose control can prevent or arrest cognitive decline remains unanswered. In the analysis reported here, we explored the effect of intensive glucose control versus standard care on brain health, including structural abnormalities of the brain (atrophy, white matter hyperintensities, lacunar infarction, and cerebral microbleeds), cognitive dysfunction, and risk of dementia. METHODS We searched the PubMed and Embase databases, the Web of Science website, and the Clinicaltrial.gov registry for studies published in English prior to July 2020. Only studies with a randomized controlled trial (RCT) design were considered. We analyzed structural abnormalities of the brain (atrophy, white matter hyperintensities, lacunar infarction, and cerebral microbleeds), cognitive function (cognitive impairment, executive function, memory, attention, and information-processing speed), and dementia (Alzheimer's disease, vascular dementia, and mixed dementia). RESULTS Six studies (5 different RCTs) with 16,584 participants were included in this meta-analysis. One study that compared structural changes between groups receiving intensive versus conventional glucose control measures reported non-significant results. The results of the five studies, comprising four cohorts, indicated a significantly poorer decline in cognitive function in the intensive glucose control group (β - 0.03, 95% confidence interval [CI] - 0.05 to - 0.02) than in the conventional glucose control group. Further subgroup analysis showed a significant difference in the change in cognitive performance in composite cognitive function (β - 0.03, 95% CI - 0.05 to - 0.01) and memory (β - 0.13, 95% CI - 0.25 to - 0.02). One trial evaluated the prevalence of cognitive impairment and dementia between groups receiving intensive and conventional glucose control, respectively, and the differences were insignificant. CONCLUSION This meta-analysis suggests that intensive glucose control in patients with type 2 diabetes can slow down cognitive decline, especially the decline in composite cognition and memory function. However, further studies are necessary to confirm the impact of strict glucose control on structural abnormalities in the brain and the risk of dementia.
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Affiliation(s)
- Xingyao Tang
- Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Marly A Cardoso
- Department of Nutrition, School of Public Health, University of Sao Paulo, Sao Paulo, Brazil
| | - Jinkui Yang
- Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Jian-Bo Zhou
- Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
| | - Rafael Simó
- Endocrinology and Nutrition Department, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Passeig de la Vall d'Hebron, Barcelona, Spain
- Diabetes and Metabolism Research Unit, Vall d'Hebron Institut de Recerca (VHIR), Universitat Autònoma de Barcelona, Passeig de la Vall d'Hebron, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
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