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Souza ABCD, Correa-Giannella MLC, Gomes MB, Negrato CA, Nery M. Epidemiology and risk factors of hypoglycemia in subjects with type 1 diabetes in Brazil: a cross-sectional, multicenter study. Archives of Endocrinology and Metabolism 2022; 66:784-791. [PMID: 36191264 PMCID: PMC10118760 DOI: 10.20945/2359-3997000000523] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective The aim of this study was to investigate the factors associated with hypoglycemia and severe hypoglycemia (SH) in individuals with type 1 diabetes mellitus (T1D) in Brazil. Materials and Methods This multicenter, cross-sectional study was conducted between August 2011 and August 2014 across 10 Brazilian cities. The data were obtained from 1,760 individuals with T1D. Sociodemographic and clinical characteristics related to hypoglycemic events in the previous 4 weeks were evaluated. Results Of 1,760 individuals evaluated, 1,319 (74.9%) reported at least one episode of hypoglycemia in the previous 4 weeks. The main factors associated with hypoglycemia were lower hemoglobin A1c (HbA1c) level, better adherence to self-monitoring of blood glucose (SMBG), and higher education level. Episodes of SH were reported by 251 (19%) individuals who, compared with subjects with nonsevere hypoglycemia, received lower doses of prandial insulin and higher doses of basal insulin, in addition to reporting less frequent use of long-acting basal insulin analogs. The percentage of SH episodes was evenly distributed across all ranges of HbA1c levels, and there were no correlations between the mean number of nonsevere or severe hypoglycemic events and HbA1c values. Higher alcohol consumption and more frequent hospitalizations were independently associated with SH. Conclusion Although individuals presenting with hypoglycemia had lower HbA1c values than those not presenting hypoglycemia, there were no correlations between the number of nonsevere hypoglycemia or SH and HbA1c values. Also, the frequency of SH was evenly distributed across all ranges of HbA1c values. Better adherence to SMBG and higher education level were associated with hypoglycemia, while alcohol consumption, higher doses of basal insulin, and more frequent hospitalizations in the previous year were associated with SH.
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Catherine JP, Russell MV, Peter CH. The impact of race and socioeconomic factors on paediatric diabetes. EClinicalMedicine 2021; 42:101186. [PMID: 34805811 PMCID: PMC8585622 DOI: 10.1016/j.eclinm.2021.101186] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Revised: 08/12/2021] [Accepted: 10/19/2021] [Indexed: 12/16/2022] Open
Abstract
There are over 29,000 children and young people (CYP) with Type 1 diabetes mellitus (T1DM) in England and Wales and another 726 with Type 2 diabetes mellitus (T2DM). There is little effect of deprivation on the prevalence of T1DM whereas the association of deprivation on the percentage of CYP with T2DM is striking with 45% of cases drawn from the most deprived backgrounds. A number that has not changed over the last 4 years. Data from the UK and USA as well as other countries demonstrate the impact of deprivation on outcomes in diabetes mellitus with clear effects on measures of long-term control and complications. In the UK black CYP had higher glycosylated haemoglobin (HbA1c) values compared to other groups. Within the black group, CYP from a Caribbean background had a higher mean HbA1c (77.0 mmol/mol (9.2%)) than those from Africa (70.4 mmol/mol (8.6%)). Treatment regimen (multiple daily injections or insulin pump therapy) explained the largest proportion of the variability in HbA1c followed by deprivation. Those in the least deprived areas had an average HbA1c 5.88 mmol/mol (0.5%) lower than those living in the most deprived areas. The picture is complex as UK data also show that deprivation and ethnicity is associated with less use of technology that is likely to improve diabetes control. Increased usage of pump therapy and continuous glucose monitoring was associated with a younger age of patient (less than 10 years of age), living in the least deprived areas and white ethnicity. This gap between pump usage amongst CYP with T1DM living in the most and least deprived areas has widened with time. In 2014/15 the gap was 7.9% and by 2018/19 had increased to 13.5%. To attain an equitable service for CYP with diabetes mellitus we need to consider interventions at the patient, health care professional, community, and health care system levels.
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Holt RIG, DeVries JH, Hess-Fischl A, Hirsch IB, Kirkman MS, Klupa T, Ludwig B, Nørgaard K, Pettus J, Renard E, Skyler JS, Snoek FJ, Weinstock RS, Peters AL. The management of type 1 diabetes in adults. A consensus report by the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD). Diabetologia 2021; 64:2609-2652. [PMID: 34590174 PMCID: PMC8481000 DOI: 10.1007/s00125-021-05568-3] [Citation(s) in RCA: 106] [Impact Index Per Article: 35.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
The American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD) convened a writing group to develop a consensus statement on the management of type 1 diabetes in adults. The writing group has considered the rapid development of new treatments and technologies and addressed the following topics: diagnosis, aims of management, schedule of care, diabetes self-management education and support, glucose monitoring, insulin therapy, hypoglycaemia, behavioural considerations, psychosocial care, diabetic ketoacidosis, pancreas and islet transplantation, adjunctive therapies, special populations, inpatient management and future perspectives. Although we discuss the schedule for follow-up examinations and testing, we have not included the evaluation and treatment of the chronic microvascular and macrovascular complications of diabetes as these are well-reviewed and discussed elsewhere. The writing group was aware of both national and international guidance on type 1 diabetes and did not seek to replicate this but rather aimed to highlight the major areas that healthcare professionals should consider when managing adults with type 1 diabetes. Though evidence-based where possible, the recommendations in the report represent the consensus opinion of the authors. Graphical abstract.
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Affiliation(s)
- Richard I G Holt
- Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK.
- Southampton National Institute for Health Research Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, Southampton, UK.
| | - J Hans DeVries
- Amsterdam UMC, Internal Medicine, University of Amsterdam, Amsterdam, the Netherlands
- Profil Institute for Metabolic Research, Neuss, Germany
| | - Amy Hess-Fischl
- Kovler Diabetes Center, University of Chicago, Chicago, IL, USA
| | - Irl B Hirsch
- UW Medicine Diabetes Institute, Seattle, WA, USA
| | - M Sue Kirkman
- University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Tomasz Klupa
- Department of Metabolic Diseases, Center for Advanced Technologies in Diabetes, Jagiellonian University Medical College, Kraków, Poland
| | - Barbara Ludwig
- University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Kirsten Nørgaard
- Steno Diabetes Center Copenhagen, Gentofte, Denmark
- University of Copenhagen, Copenhagen, Denmark
| | | | - Eric Renard
- Montpellier University Hospital, Montpellier, France
- Institute of Functional Genomics, University of Montpellier, CNRS, Inserm, Montpellier, France
| | - Jay S Skyler
- University of Miami Miller School of Medicine, Miami, FL, USA
| | - Frank J Snoek
- Amsterdam UMC, Medical Psychology, Vrije Universiteit, Amsterdam, the Netherlands
| | | | - Anne L Peters
- Keck School of Medicine of USC, Los Angeles, CA, USA
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Holt RIG, DeVries JH, Hess-Fischl A, Hirsch IB, Kirkman MS, Klupa T, Ludwig B, Nørgaard K, Pettus J, Renard E, Skyler JS, Snoek FJ, Weinstock RS, Peters AL. The Management of Type 1 Diabetes in Adults. A Consensus Report by the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD). Diabetes Care 2021; 44:2589-2625. [PMID: 34593612 DOI: 10.2337/dci21-0043] [Citation(s) in RCA: 185] [Impact Index Per Article: 61.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Accepted: 08/25/2021] [Indexed: 02/03/2023]
Abstract
The American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD) convened a writing group to develop a consensus statement on the management of type 1 diabetes in adults. The writing group has considered the rapid development of new treatments and technologies and addressed the following topics: diagnosis, aims of management, schedule of care, diabetes self-management education and support, glucose monitoring, insulin therapy, hypoglycemia, behavioral considerations, psychosocial care, diabetic ketoacidosis, pancreas and islet transplantation, adjunctive therapies, special populations, inpatient management, and future perspectives. Although we discuss the schedule for follow-up examinations and testing, we have not included the evaluation and treatment of the chronic microvascular and macrovascular complications of diabetes as these are well-reviewed and discussed elsewhere. The writing group was aware of both national and international guidance on type 1 diabetes and did not seek to replicate this but rather aimed to highlight the major areas that health care professionals should consider when managing adults with type 1 diabetes. Though evidence-based where possible, the recommendations in the report represent the consensus opinion of the authors.
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Affiliation(s)
- Richard I G Holt
- Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, U.K. .,Southampton National Institute for Health Research Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, Southampton, U.K
| | - J Hans DeVries
- Amsterdam UMC, Internal Medicine, University of Amsterdam, Amsterdam, the Netherlands.,Profil Institute for Metabolic Research, Neuss, Germany
| | | | | | - M Sue Kirkman
- University of North Carolina School of Medicine, Chapel Hill, NC
| | - Tomasz Klupa
- Department of Metabolic Diseases, Center for Advanced Technologies in Diabetes, Jagiellonian University Medical College, Kraków, Poland
| | - Barbara Ludwig
- University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Kirsten Nørgaard
- Steno Diabetes Center Copenhagen, Gentofte, Denmark.,University of Copenhagen, Copenhagen, Denmark
| | | | - Eric Renard
- Montpellier University Hospital, Montpellier, France.,Institute of Functional Genomics, University of Montpellier, CNRS, Inserm, Montpellier, France
| | - Jay S Skyler
- University of Miami Miller School of Medicine, Miami, FL
| | - Frank J Snoek
- Amsterdam UMC, Medical Psychology, Vrije Universiteit, Amsterdam, the Netherlands
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Kaiafa G, Veneti S, Polychronopoulos G, Pilalas D, Daios S, Kanellos I, Didangelos T, Pagoni S, Savopoulos C. Is HbA1c an ideal biomarker of well-controlled diabetes? Postgrad Med J 2020; 97:380-383. [PMID: 32913038 DOI: 10.1136/postgradmedj-2020-138756] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Accepted: 08/15/2020] [Indexed: 12/16/2022]
Abstract
HbA1c is a biomarker with a central role in the diagnosis and follow-up of patients with diabetes, although not a perfect one. Common comorbidities encountered in patients with diabetes mellitus, such as renal insufficiency, high output states (iron deficiency anaemia, haemolytic anaemia, haemoglobinopathies and pregnancy) and intake of specific drugs could compromise the sensitivity and specificity of the biomarker. COVID-19 pandemic poses a pressing challenge for the diabetic population, since maintaining optimal blood glucose control is key to reduce morbidity and mortality rates. Alternative methods for diabetes management, such as fructosamine, glycosylated albumin and device-based continuous glucose monitoring, are discussed.
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Affiliation(s)
- Georgia Kaiafa
- First Propedeutic Department of Internal Medicine, AHEPA University Hospital, Medical School, Aristotle University of Thessaloniki, Greece
| | - Stavroula Veneti
- First Propedeutic Department of Internal Medicine, AHEPA University Hospital, Medical School, Aristotle University of Thessaloniki, Greece
| | - George Polychronopoulos
- First Propedeutic Department of Internal Medicine, AHEPA University Hospital, Medical School, Aristotle University of Thessaloniki, Greece
| | - Dimitrios Pilalas
- First Propedeutic Department of Internal Medicine, AHEPA University Hospital, Medical School, Aristotle University of Thessaloniki, Greece
| | - Stylianos Daios
- Internal Medicine Department, General Hospital of Serres, Greece
| | - Ilias Kanellos
- First Propedeutic Department of Internal Medicine, AHEPA University Hospital, Medical School, Aristotle University of Thessaloniki, Greece
| | - Triantafyllos Didangelos
- First Propedeutic Department of Internal Medicine, AHEPA University Hospital, Medical School, Aristotle University of Thessaloniki, Greece
| | - Stamatina Pagoni
- 3rd Department of Internal Medicine, "G. Gennimatas" General Hospital of Athens, Greece.,Hellenic Society of Internal Medicine, Athens, Greece
| | - Christos Savopoulos
- First Propedeutic Department of Internal Medicine, AHEPA University Hospital, Medical School, Aristotle University of Thessaloniki, Greece
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Torimoto K, Okada Y, Hajime M, Tanaka K, Tanaka Y. Risk Factors of Hypoglycemia in Patients with Type 2 Diabetes Mellitus: A Study Based on Continuous Glucose Monitoring. Diabetes Technol Ther 2018; 20:603-612. [PMID: 30070933 DOI: 10.1089/dia.2018.0017] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
BACKGROUND The objective of this study was to determine the risk factors of hypoglycemia by evaluating the glycemic profile using continuous glucose monitoring (CGM) in patients with type 2 diabetes mellitus (T2DM). METHODS The participants were 294 patients with T2DM who received inpatient diabetes education. The mean blood glucose (MBG), coefficient of variation (CV), mean postprandial glucose excursion, low blood glucose index (LBGI), and percentage of time with blood glucose (BG) at <70 mg/dL were measured on admission using CGM. We predicted the risk of hypoglycemia utilizing transform to Gaussian model. The primary end point was the relationship between CGM parameters and hypoglycemia. RESULTS Multivariate logistic regression analysis showed that disease duration, MBG, CV, LBGI, and Predicted% of BG correlated significantly with hypoglycemia. Receiver operating characteristic curve analysis showed that the optimal cutoff points for MBG and CV in predicting hypoglycemia were 152 mg/dL and 22%, respectively. The proportion of patients with hypoglycemia was 0% for the group with no hypoglycemia risk factors, 4.2% for the group with one risk factor, and 36.6% for the group with two risk factors, showing a linear increase across the groups (P < 0.001). LBGI was the best predictor of hypoglycemia; and Predicted% BG <70 mg/dL was very useful as an index to predict hypoglycemia. CONCLUSIONS Patients with low MBG levels and large fluctuations in BG were more likely to develop hypoglycemia, suggesting that assessment of these two variables is useful for the prediction of hypoglycemia. To achieve good glycemic control free of hypoglycemia, approaches are needed that do not only lower BG level but also minimize fluctuations in blood and interstitial fluid glucose level.
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Affiliation(s)
- Keiichi Torimoto
- First Department of Internal Medicine, School of Medicine, University of Occupational and Environmental Health , Kitakyushu-shi, Japan
| | - Yosuke Okada
- First Department of Internal Medicine, School of Medicine, University of Occupational and Environmental Health , Kitakyushu-shi, Japan
| | - Maiko Hajime
- First Department of Internal Medicine, School of Medicine, University of Occupational and Environmental Health , Kitakyushu-shi, Japan
| | - Kenichi Tanaka
- First Department of Internal Medicine, School of Medicine, University of Occupational and Environmental Health , Kitakyushu-shi, Japan
| | - Yoshiya Tanaka
- First Department of Internal Medicine, School of Medicine, University of Occupational and Environmental Health , Kitakyushu-shi, Japan
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