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Sheng B, Pushpanathan K, Guan Z, Lim QH, Lim ZW, Yew SME, Goh JHL, Bee YM, Sabanayagam C, Sevdalis N, Lim CC, Lim CT, Shaw J, Jia W, Ekinci EI, Simó R, Lim LL, Li H, Tham YC. Artificial intelligence for diabetes care: current and future prospects. Lancet Diabetes Endocrinol 2024; 12:569-595. [PMID: 39054035 DOI: 10.1016/s2213-8587(24)00154-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Revised: 03/28/2024] [Accepted: 05/16/2024] [Indexed: 07/27/2024]
Abstract
Artificial intelligence (AI) use in diabetes care is increasingly being explored to personalise care for people with diabetes and adapt treatments for complex presentations. However, the rapid advancement of AI also introduces challenges such as potential biases, ethical considerations, and implementation challenges in ensuring that its deployment is equitable. Ensuring inclusive and ethical developments of AI technology can empower both health-care providers and people with diabetes in managing the condition. In this Review, we explore and summarise the current and future prospects of AI across the diabetes care continuum, from enhancing screening and diagnosis to optimising treatment and predicting and managing complications.
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Affiliation(s)
- Bin Sheng
- Shanghai Belt and Road International Joint Laboratory for Intelligent Prevention and Treatment of Metabolic Disorders, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai, China; Key Laboratory of Artificial Intelligence, Ministry of Education, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Krithi Pushpanathan
- Centre of Innovation and Precision Eye Health, Department of Ophthalmology, National University of Singapore, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Zhouyu Guan
- Shanghai Belt and Road International Joint Laboratory for Intelligent Prevention and Treatment of Metabolic Disorders, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai, China
| | - Quan Hziung Lim
- Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Zhi Wei Lim
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Samantha Min Er Yew
- Centre of Innovation and Precision Eye Health, Department of Ophthalmology, National University of Singapore, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | | | - Yong Mong Bee
- Department of Endocrinology, Singapore General Hospital, Singapore; SingHealth Duke-National University of Singapore Diabetes Centre, Singapore Health Services, Singapore
| | - Charumathi Sabanayagam
- Ophthalmology and Visual Sciences Academic Clinical Program, Duke-National University of Singapore Medical School, Singapore; Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
| | - Nick Sevdalis
- Centre for Behavioural and Implementation Science Interventions, National University of Singapore, Singapore
| | | | - Chwee Teck Lim
- Department of Biomedical Engineering, National University of Singapore, Singapore; Institute for Health Innovation and Technology, National University of Singapore, Singapore; Mechanobiology Institute, National University of Singapore, Singapore
| | - Jonathan Shaw
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Weiping Jia
- Shanghai Belt and Road International Joint Laboratory for Intelligent Prevention and Treatment of Metabolic Disorders, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai, China
| | - Elif Ilhan Ekinci
- Australian Centre for Accelerating Diabetes Innovations, Melbourne Medical School and Department of Medicine, University of Melbourne, Melbourne, VIC, Australia; Department of Endocrinology, Austin Health, Melbourne, VIC, Australia
| | - Rafael Simó
- Diabetes and Metabolism Research Unit, Vall d'Hebron University Hospital and Vall d'Hebron Research Institute, Barcelona, Spain; Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III, Madrid, Spain
| | - Lee-Ling Lim
- Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia; Department of Medicine and Therapeutics, Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Asia Diabetes Foundation, Hong Kong Special Administrative Region, China
| | - Huating Li
- Shanghai Belt and Road International Joint Laboratory for Intelligent Prevention and Treatment of Metabolic Disorders, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai, China.
| | - Yih-Chung Tham
- Centre of Innovation and Precision Eye Health, Department of Ophthalmology, National University of Singapore, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Ophthalmology and Visual Sciences Academic Clinical Program, Duke-National University of Singapore Medical School, Singapore; Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.
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Baumgartner M, Kuhn C, Nakas CT, Herzig D, Bally L. Carbohydrate Estimation Accuracy of Two Commercially Available Smartphone Applications vs Estimation by Individuals With Type 1 Diabetes: A Comparative Study. J Diabetes Sci Technol 2024:19322968241264744. [PMID: 39058316 DOI: 10.1177/19322968241264744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/28/2024]
Abstract
BACKGROUND Despite remarkable progress in diabetes technology, most systems still require estimating meal carbohydrate (CHO) content for meal-time insulin delivery. Emerging smartphone applications may obviate this need, but performance data in relation to patient estimates remain scarce. OBJECTIVE The objective is to assess the accuracy of two commercial CHO estimation applications, SNAQ and Calorie Mama, and compare their performance with the estimation accuracy of people with type 1 diabetes (T1D). METHODS Carbohydrate estimates of 53 individuals with T1D (aged ≥16 years) were compared with those of SNAQ (food recognition + quantification) and Calorie Mama (food recognition + adjustable standard portion size). Twenty-six cooked meals were prepared at the hospital kitchen. Each participant estimated the CHO content of two meals in three different sizes without assistance. Participants then used SNAQ for CHO quantification in one meal and Calorie Mama for the other (all three sizes). Accuracy was the estimate's deviation from ground-truth CHO content (weight multiplied by nutritional facts from recipe database). Furthermore, the applications were rated using the Mars-G questionnaire. RESULTS Participants' mean ± standard deviation (SD) absolute error was 21 ± 21.5 g (71 ± 72.7%). Calorie Mama had a mean absolute error of 24 ± 36.5 g (81.2 ± 123.4%). With a mean absolute error of 13.1 ± 11.3 g (44.3 ± 38.2%), SNAQ outperformed the estimation accuracy of patients and Calorie Mama (both P > .05). Error consistency (quantified by the within-participant SD) did not significantly differ between the methods. CONCLUSIONS SNAQ may provide effective CHO estimation support for people with T1D, particularly those with large or inconsistent CHO estimation errors. Its impact on glucose control remains to be evaluated.
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Affiliation(s)
- Michelle Baumgartner
- Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Department of Health Sciences and Technology, Eidgenössische Technische Hochschule Zurich, Zurich, Switzerland
| | - Christian Kuhn
- Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Christos T Nakas
- School of Agricultural Sciences, Laboratory of Biometry, University of Thessaly, Volos, Greece
- University Institute of Clinical Chemistry, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - David Herzig
- Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Lia Bally
- Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
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Rodríguez-Muñoz A, Picón-César MJ, Tinahones FJ, Martínez-Montoro JI. Type 1 diabetes-related distress: Current implications in care. Eur J Intern Med 2024; 125:19-27. [PMID: 38609810 DOI: 10.1016/j.ejim.2024.03.030] [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: 09/19/2023] [Revised: 03/18/2024] [Accepted: 03/25/2024] [Indexed: 04/14/2024]
Abstract
Type 1 diabetes (T1D) is a complex chronic disease associated with major health and economic consequences, also involving important issues in the psychosocial sphere. In this regard, T1D-related distress, defined as the emotional burden of living with T1D, has emerged as a specific entity related to the disease. Diabetes distress (DD) is an overlooked but prevalent condition in people living with T1D, and has significant implications in both glycemic control and mental health in this population. Although overlapping symptoms may be found between DD and mental health disorders, specific approaches should be performed for the diagnosis of this problem. In recent years, different DD-targeted interventions have been postulated, including behavioral and psychosocial strategies. Moreover, new technologies in this field may be helpful to address DD in people living with T1D. In this article, we summarize the current knowledge on T1D-related distress, and we also discuss the current approaches and future perspectives in its management.
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Affiliation(s)
- Alba Rodríguez-Muñoz
- Department of Endocrinology and Nutrition, Virgen de la Victoria University Hospital, Málaga, Spain; Instituto de Investigación Biomédica de Málaga (IBIMA)-Plataforma Bionand, Málaga, Spain
| | - María José Picón-César
- Department of Endocrinology and Nutrition, Virgen de la Victoria University Hospital, Málaga, Spain; Instituto de Investigación Biomédica de Málaga (IBIMA)-Plataforma Bionand, Málaga, Spain; Centro de Investigación Biomédica en Red-Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Francisco J Tinahones
- Department of Endocrinology and Nutrition, Virgen de la Victoria University Hospital, Málaga, Spain; Instituto de Investigación Biomédica de Málaga (IBIMA)-Plataforma Bionand, Málaga, Spain; Centro de Investigación Biomédica en Red-Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Faculty of Medicine, University of Málaga, Málaga, Spain
| | - José Ignacio Martínez-Montoro
- Department of Endocrinology and Nutrition, Virgen de la Victoria University Hospital, Málaga, Spain; Instituto de Investigación Biomédica de Málaga (IBIMA)-Plataforma Bionand, Málaga, Spain; Centro de Investigación Biomédica en Red-Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Faculty of Medicine, University of Málaga, Málaga, Spain.
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Cohen E, Tsoukas MA, Legault L, Vallis M, Von Oettingen JE, Palisaitis E, Odabassian M, Yale JF, Garfield N, Gouchie-Provencher N, Rutkowski J, Jafar A, Ghanbari M, Haidar A. Simple meal announcements and pramlintide delivery versus carbohydrate counting in type 1 diabetes with automated fast-acting insulin aspart delivery: a randomised crossover trial in Montreal, Canada. Lancet Digit Health 2024; 6:e489-e499. [PMID: 38906614 DOI: 10.1016/s2589-7500(24)00092-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 03/19/2024] [Accepted: 04/27/2024] [Indexed: 06/23/2024]
Abstract
BACKGROUND In type 1 diabetes, carbohydrate counting is the standard of care to determine prandial insulin needs, but it can negatively affect quality of life. We developed a novel insulin-and-pramlintide closed-loop system that replaces carbohydrate counting with simple meal announcements. METHODS We performed a randomised crossover trial assessing 14 days of (1) insulin-and-pramlintide closed-loop system with simple meal announcements, (2) insulin-and-placebo closed-loop system with carbohydrate counting, and (3) insulin-and-placebo closed-loop system with simple meal announcements. Participants were recruited at McGill University Health Centre (Montreal, QC, Canada). Eligible participants were adults (aged ≥18 years) and adolescents (aged 12-17 years) with type 1 diabetes for at least 1 year. Participants were randomly assigned in a 1:1:1:1:1:1 ratio to a sequence of the three interventions, with faster insulin aspart used in all interventions. Each intervention was separated by a 14-45-day wash-out period, during which participants reverted to their usual insulin. During simple meal announcement interventions, participants triggered a prandial bolus at mealtimes based on a programmed fixed meal size, whereas during carbohydrate counting interventions, participants manually entered the carbohydrate content of the meal and an algorithm calculated the prandial bolus based on insulin-to-carbohydrate ratio. Two primary comparisons were predefined: the percentage of time in range (glucose 3·9-10·0 mmol/L) with a non-inferiority margin of 6·25% (non-inferiority comparison); and the mean Emotional Burden subscale score of the Diabetes Distress Scale (superiority comparison), comparing the insulin-and-placebo system with carbohydrate counting minus the insulin-and-pramlintide system with simple meal announcements. Analyses were performed on a modified intention-to-treat basis, excluding participants who did not complete all interventions. Serious adverse events were assessed in all participants. This trial is registered on ClinicalTrials.gov, NCT04163874. FINDINGS 32 participants were enrolled between Feb 14, 2020, and Oct 5, 2021; two participants withdrew before study completion. 30 participants were analysed, including 15 adults (nine female, mean age 39·4 years [SD 13·8]) and 15 adolescents (eight female, mean age 15·7 years [1·3]). Non-inferiority of the insulin-and-pramlintide system with simple meal announcements relative to the insulin-and-placebo system with carbohydrate counting was reached (difference -5% [95% CI -9·0 to -0·7], non-inferiority p<0·0001). No statistically significant difference was found in the mean Emotional Burden score between the insulin-and-pramlintide system with simple meal announcements and the insulin-and-placebo system with carbohydrate counting (difference 0·01 [SD 0·82], p=0·93). With the insulin-and-pramlintide system with simple meal announcements, 14 (47%) participants reported mild gastrointestinal symptoms and two (7%) reported moderate symptoms, compared with two (7%) participants reporting mild gastrointestinal symptoms on the insulin-and-placebo system with carbohydrate counting. No serious adverse events occurred. INTERPRETATION The insulin-and-pramlintide system with simple meal announcements alleviated carbohydrate counting without degrading glucose control, although quality of life as measured by the Emotional Burden score was not improved. Longer and larger studies with this novel approach are warranted. FUNDING Juvenile Diabetes Research Foundation.
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Affiliation(s)
- Elisa Cohen
- Department of Biomedical Engineering, McGill University, Montreal, QC, Canada
| | - Michael A Tsoukas
- Division of Endocrinology, McGill University Health Centre, Montreal, QC, Canada; The Research Institute of McGill University Health Centre, Montreal, QC, Canada
| | - Laurent Legault
- Department of Pediatrics, Montreal Children's Hospital, Montreal, QC, Canada
| | - Michael Vallis
- Department of Family Medicine, Dalhousie University, Halifax, QC, Canada
| | - Julia E Von Oettingen
- The Research Institute of McGill University Health Centre, Montreal, QC, Canada; Department of Pediatrics, Montreal Children's Hospital, Montreal, QC, Canada
| | - Emilie Palisaitis
- Department of Biomedical Engineering, McGill University, Montreal, QC, Canada
| | - Madison Odabassian
- Department of Biomedical Engineering, McGill University, Montreal, QC, Canada
| | - Jean-François Yale
- Division of Endocrinology, McGill University Health Centre, Montreal, QC, Canada; The Research Institute of McGill University Health Centre, Montreal, QC, Canada
| | - Natasha Garfield
- Division of Endocrinology, McGill University Health Centre, Montreal, QC, Canada; The Research Institute of McGill University Health Centre, Montreal, QC, Canada
| | | | - Joanna Rutkowski
- Department of Biomedical Engineering, McGill University, Montreal, QC, Canada
| | - Adnan Jafar
- Department of Biomedical Engineering, McGill University, Montreal, QC, Canada
| | - Milad Ghanbari
- Department of Biomedical Engineering, McGill University, Montreal, QC, Canada
| | - Ahmad Haidar
- Department of Biomedical Engineering, McGill University, Montreal, QC, Canada; Division of Endocrinology, McGill University Health Centre, Montreal, QC, Canada; The Research Institute of McGill University Health Centre, Montreal, QC, Canada.
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Scidà G, Corrado A, Abuqwider J, Lupoli R, Rainone C, Della Pepa G, Masulli M, Annuzzi G, Bozzetto L. Postprandial Glucose Control With Different Hybrid Closed-Loop Systems According to Type of Meal in Adults With Type 1 Diabetes. J Diabetes Sci Technol 2024:19322968241256475. [PMID: 38840523 DOI: 10.1177/19322968241256475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/07/2024]
Abstract
BACKGROUND Hybrid Closed-Loop Systems (HCLs) may not perform optimally on postprandial glucose control. We evaluated how first-generation and advanced HCLs manage meals varying in carbohydrates, fat, and protein. METHOD According to a cross-sectional design, seven-day food records and HCLs reports from 120 adults with type 1 diabetes (MiniMed670G: n = 40, MiniMed780G: n = 49, Control-IQ [C-IQ]: n = 31) were analyzed. Breakfasts (n = 570), lunches (n = 658), and dinners (n = 619) were divided according to the median of their carbohydrate (g)/fat (g) plus protein (g) ratio (C/FP). After breakfast (4-hour), lunch (6-hour), and dinner (6-hour), continuous glucose monitoring (CGM) metrics and early and late glucose incremental area under the curves (iAUCs) and delivered insulin doses were evaluated. The association of C/FP and HCLs with postprandial glucose and insulin patterns was analyzed by univariate analysis of variance (ANOVA) with a two-factor design. RESULTS Postprandial glucose time-in-range 70 to 180 mg/dL was optimal after breakfast (78.3 ± 26.9%), lunch (72.7 ± 26.1%), and dinner (70.8 ± 27.3%), with no significant differences between HCLs. Independent of C/FP, late glucose-iAUC after lunch was significantly lower in C-IQ users than 670G and 780G (P < .05), with no significant differences at breakfast and dinner. Postprandial insulin pattern (Ins3-6h minus Ins0-3h) differed by type of HCLs at lunch (P = .026) and dinner (P < .001), being the early insulin dose (Ins0-3h) higher than the late dose (Ins3-6h) in 670G and 780G users with an opposite pattern in C-IQ users. CONCLUSIONS Independent of different proportions of dietary carbohydrates, fat, and protein, postprandial glucose response was similar in users of different HCLs, although obtained through different automatic insulin delivery patterns.
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Affiliation(s)
- Giuseppe Scidà
- Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples, Italy
| | - Alessandra Corrado
- Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples, Italy
| | - Jumana Abuqwider
- Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples, Italy
| | - Roberta Lupoli
- Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, Naples, Italy
| | - Carmen Rainone
- Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples, Italy
| | - Giuseppe Della Pepa
- Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples, Italy
| | - Maria Masulli
- Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples, Italy
| | - Giovanni Annuzzi
- Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples, Italy
| | - Lutgarda Bozzetto
- Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples, Italy
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Tandon A, Bhowmik E, Ali Z, Tripathi S, Bk A, Chen Y, Dabadghao P, Sudhanshu S, Bhatia V. Basic carbohydrate counting and glycemia in young people with type 1 diabetes in India: A randomized controlled trial. Nutrition 2024; 119:112318. [PMID: 38181475 DOI: 10.1016/j.nut.2023.112318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 11/22/2023] [Accepted: 11/27/2023] [Indexed: 01/07/2024]
Abstract
OBJECTIVES The aim of this study was to evaluate the effect on glycemic control and acceptability of basic carbohydrate counting (BCC) in children and young adults with type 1 diabetes (T1DM). METHODS Ninety-two children and young adults (6-25 y of age) with T1DM were randomized to receive either routine nutrition education (RNE), which addressed food groups, glycemic index, and effects of food and exercise on glycemia, or learn BCC with personalized portion size education. A continuous glucose monitoring study and glycosylated hemoglobin (HbA1c) were performed at baseline and after 12 wk. The primary outcome was a change in time-in-range from baseline through 12 wk. A questionnaire on the acceptability of BCC was administered. RESULTS At 12 wk, there was no significant difference in change in time-in-range between the two groups (BCC group: 1.2 ± 12.2; RNE group: 1.9 ± 12.3; P = 0.786). No significant changes were observed in the percentage of time that blood glucose was >180 or >250 mg/dL; <70 or <54 mg/dL; glycemic variability, percentage of nights with hypoglycemia and HbA1c. In subgroup analysis, there was a significant decrease in HbA1c in the BCC group among participants with higher maternal education (-0.5 versus 0.2, P = 0.042). The total score on the acceptability questionnaire was higher in the BCC group (P = 0.022). CONCLUSION Among children and young adults in our region with T1DM, BCC provided flexibility in food choices and perception of greater ease of insulin adjustment. Although BCC was equivalent to RNE in terms of glycemic control, larger studies may reveal benefit in outcomes in certain subgroups.
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Affiliation(s)
- Ambica Tandon
- Department of Endocrinology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, India
| | - Eshita Bhowmik
- Department of Endocrinology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, India
| | - Zebish Ali
- Department of Endocrinology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, India
| | - Sarita Tripathi
- Department of Endocrinology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, India
| | - Ajitha Bk
- Department of Statistics, Government Medical College, Thrissur, Kerala, India
| | - Yanjun Chen
- Institute for Cancer Outcomes and Survivorship, School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, United States
| | - Preeti Dabadghao
- Department of Endocrinology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, India
| | - Siddhnath Sudhanshu
- Department of Endocrinology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, India
| | - Vijayalakshmi Bhatia
- Department of Endocrinology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, India.
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Mathieu C, Ahmed W, Gillard P, Cohen O, Vigersky R, de Portu S, Ozdemir Saltik AZ. The Health Economics of Automated Insulin Delivery Systems and the Potential Use of Time in Range in Diabetes Modeling: A Narrative Review. Diabetes Technol Ther 2024; 26:66-75. [PMID: 38377319 DOI: 10.1089/dia.2023.0438] [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] [Indexed: 02/22/2024]
Abstract
Intensive therapy with exogenous insulin is the treatment of choice for individuals living with type 1 diabetes (T1D) and some with type 2 diabetes, alongside regular glucose monitoring. The development of systems allowing (semi-)automated insulin delivery (AID), by connecting glucose sensors with insulin pumps and algorithms, has revolutionized insulin therapy. Indeed, AID systems have demonstrated a proven impact on overall glucose control, as indicated by effects on glycated hemoglobin (HbA1c), risk of severe hypoglycemia, and quality of life measures. An alternative endpoint for glucose control that has arisen from the use of sensor-based continuous glucose monitoring is the time in range (TIR) measure, which offers an indication of overall glucose control, while adding information on the quality of control with regard to blood glucose level stability. A review of literature on the health-economic value of AID systems was conducted, with a focus placed on the growing place of TIR as an endpoint in studies involving AID systems. Results showed that the majority of economic evaluations of AID systems focused on individuals with T1D and found AID systems to be cost-effective. Most studies incorporated HbA1c, rather than TIR, as a clinical endpoint to determine treatment effects on glucose control and subsequent quality-adjusted life year (QALY) gains. Likely reasons for the choice of HbA1c as the chosen endpoint is the use of this metric in most validated and established economic models, as well as the limited publicly available evidence on appropriate methodologies for TIR data incorporation within conventional economic evaluations. Future studies could include the novel TIR metric in health-economic evaluations as an additional measure of treatment effects and subsequent QALY gains, to facilitate a holistic representation of the impact of AID systems on glycemic control. This would provide decision makers with robust evidence to inform future recommendations for health care interventions.
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Affiliation(s)
- Chantal Mathieu
- Department of Endocrinology, UZ Gasthuisberg, Leuven, Belgium
| | - Waqas Ahmed
- Covalence Research Ltd, Harpenden, United Kingdom
| | - Pieter Gillard
- Department of Endocrinology, UZ Gasthuisberg, Leuven, Belgium
| | - Ohad Cohen
- Medtronic International Trading Sarl, Tolochenaz, Switzerland
| | | | - Simona de Portu
- Medtronic International Trading Sarl, Tolochenaz, Switzerland
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Sterner Isaksson S, Ólafsdóttir AF, Ivarsson S, Imberg H, Toft E, Hallström S, Rosenqvist U, Ekström M, Lind M. The effect of carbohydrate intake on glycaemic control in individuals with type 1 diabetes: a randomised, open-label, crossover trial. THE LANCET REGIONAL HEALTH. EUROPE 2024; 37:100799. [PMID: 38362553 PMCID: PMC10866914 DOI: 10.1016/j.lanepe.2023.100799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 11/14/2023] [Accepted: 11/15/2023] [Indexed: 02/17/2024]
Abstract
Background Few studies have examined the effects of lower carbohydrate diets on glucose control in persons with type 1 diabetes (T1D). The objective of the study was to investigate whether a moderate carbohydrate diet improves glucose control in persons with T1D. Methods A randomised, multicentre, open-label, crossover trial over 12 weeks. There were 69 individuals assessed for eligibility, 54 adults with T1D and HbA1c ≥ 58 mmol/mol (7.5%) were randomised. Interventions were moderate carbohydrate diet versus traditional diet (30 vs 50% of total energy from carbohydrates) over four weeks, with a four-week wash-out period between treatments. Masked continuous glucose monitoring was used to evaluate effects on glucose control. The primary endpoint was the difference in mean glucose levels between the last 14 days of each diet phase. Findings 50 individuals were included in the full analysis set with a mean baseline HbA1c of 69 mmol/mol (8.4%), BMI 29 kg/m2, age of 48 years, and 50% were female. The difference in mean glucose levels between moderate carbohydrate and traditional diet was -0.6 mmol/L, 95% CI -0.9 to -0.3, p < 0.001. Time in range increased during moderate carbohydrate diet by 4.7% (68 min/24 h) (95% CI 1.3 to 8.0), p = 0.008. Time above range (>10 mmol/L) decreased by 5.9% (85 min/24 h), 95% CI -9.6 to -2.2, p = 0.003. There were no significant differences in the standard deviation of glucose levels (95% CI -0.3 to 0.0 mmol/L, p = 0.15) or hypoglycaemia in the range <3.9 mmol/L (95% CI -0.4 to 2.9%, p = 0.13) and <3.0 mmol/L (95% CI -0.4 to 1.6%, p = 0.26). Four participants withdrew, none because of adverse events. There were no serious adverse events including severe hypoglycaemia and ketoacidosis. Mean ketone levels were 0.17 (SD 0.14) mmol/L during traditional and 0.18 (SD 0.13) mmol/L during moderate carbohydrate diet (p = 0.02). Interpretation A moderate carbohydrate diet is associated with decreases in mean glucose levels and time above range and increases in time in range without increased risk of hypoglycaemia or ketoacidosis compared with a traditional diet in individuals with T1D. Funding The Healthcare Board, Region Västra Götaland, The Dr P Håkansson Foundation and the Swedish state under the agreement between the Swedish government and the county councils, the ALF-agreement [ALFGBG-966173].
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Affiliation(s)
- Sofia Sterner Isaksson
- Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Medicine, NU Hospital Group, Uddevalla, Sweden
| | - Arndís F. Ólafsdóttir
- Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Medicine, NU Hospital Group, Uddevalla, Sweden
- Department of Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Simon Ivarsson
- Department of Medicine, NU Hospital Group, Uddevalla, Sweden
| | - Henrik Imberg
- Statistiska Konsultgruppen, Gothenburg, Sweden
- Department of Mathematical Sciences, Chalmers University of Technology and University of Gothenburg, Gothenburg, Sweden
| | - Eva Toft
- Department of Medicine, Ersta Hospital, Stockholm, Sweden
- Department of Clinical Education and Science, Södersjukhuset, Karolinska Institute, Stockholm, Sweden
| | - Sara Hallström
- Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Ulf Rosenqvist
- Department of Internal Medicine, Motala Hospital, Motala, Sweden
| | - Marie Ekström
- Department of Medicine, NU Hospital Group, Uddevalla, Sweden
| | - Marcus Lind
- Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Medicine, NU Hospital Group, Uddevalla, Sweden
- Department of Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden
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9
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South CA, Talbo MK, Roy-Fleming A, Peters TM, Nielsen DE, Iceta S, Brazeau AS. Does Insulin Delivery Technology Change Our Relationship with Foods? A Scoping Review. Diabetes Technol Ther 2024; 26:136-145. [PMID: 38032855 DOI: 10.1089/dia.2023.0382] [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] [Indexed: 12/02/2023]
Abstract
Introduction: Automated insulin delivery (AID) systems reduce burden and improve glycemic management for people with type 1 diabetes (PwT1D) by automatically adjusting insulin as a response to measured glucose levels. There is a lack of evidence on AID and nutrition variables such as dietary intake, eating behaviors, and disordered eating. Objectives: This scoping review aims to provide a summary of the literature regarding AID and nutrition variables and to identify gaps that require further investigation. Methods: Two researchers conducted a blinded search of Medline (OVID) and PubMed for studies, including AID use (compared to non-AID use) and nutrition variables. Studies from January 2000 to July 2023 were included, as were PwT1D of all ages. Results: A total of 3132 articles were screened for appropriateness. After exclusions, 7 studies were included (2017-2023): 4 qualitative, 1 crossover, 1 randomized controlled, and 1 observational. Studies included adolescents (n = 1), adults (n = 3) or both (n = 2), and all ages (n = 1). In quantitative studies, AID was associated with lower eating distress (-0.43 ± 0.12, P = 0.004) and higher quality of life (3.1, 95% confidence interval [CI]: 0.8-5.4, P = 0.01), but not grams of carbohydrates at meals (1.0; 95% CI: -0.7 to 3.0; P = 0.24) and snacks (0.004; 95% CI: -0.8 to 0.8; P = 0.99) compared to non-AID use. In qualitative studies, AID increased the frequency and portions of food intake and led to less dietary control from parents. AID users reported eating foods higher in energy density. PwT1D were less worried about achieving accurate carbohydrate counting (CC) when using AID. Conclusions: AID use appears to influence eating behaviors, dietary patterns, and CC, although evidence was limited. AID may reduce food management burden due to the perception that AID can correct for CC inaccuracy. Significance: Further research needs to determine if AID allows for simplification of CC and improves eating behaviors while maintaining glycemic stability.
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Affiliation(s)
| | - Meryem K Talbo
- School of Human Nutrition, McGill University, Montreal, Canada
| | | | - Tricia M Peters
- Lady Davis Institute of Medical Research, Jewish General Hospital, Montreal, Canada
- Division of Endocrinology, Department of Medicine, The Jewish General Hospital, McGill University, Montreal, Canada
| | - Daiva E Nielsen
- School of Human Nutrition, McGill University, Montreal, Canada
| | - Sylvain Iceta
- Research Center of the Quebec Heart and Lung Institute, Quebec, Canada
- Department of Psychiatry and Neurosciences, Laval University, Quebec, Canada
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10
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Castillo-Ortega R, Vega-Vargas J, Durán-Aguero S. Assessment of clinical impact of SARS-CoV-2 in people with type 1 diabetes: A cohort study. Nutrition 2024; 118:112263. [PMID: 37988927 DOI: 10.1016/j.nut.2023.112263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Revised: 10/06/2023] [Accepted: 10/09/2023] [Indexed: 11/23/2023]
Abstract
OBJECTIVES During the coronavirus 2019 pandemic, there had been more than 758 million COVID-19 cases as of February 13, 2023, and it is the main cause of death in many countries. Due to the variation in disease presentation, scientists determined that people living with type 2 diabetes mellitus were at higher risk of mortality. However, people living with type 1 diabetes have not been thoroughly studied, especially in extreme regions of developing countries. The objective of this study was to analyze the effects of SARS-CoV-2 pandemic restrictions on different variables in a cohort with type 1 diabetes. METHODS This cohort-type study included pediatric and adult patients with type 1 diabetes at Regional Hospital Dr. Juan Noé Crevani in Arica, Chile. Biosocial and anthropometric factors, clinical history, self-care activities, and biochemical parameters were assessed and compared using analysis of variance and paired t tests between March 2020 and March 2021. RESULTS A total of 150 patients were assessed during the SARS-CoV-2 pandemic in Arica, Chile. One year after the pandemic struck, the main causes for metabolic deterioration were a reduction of carbohydrate counting by an average of 8.67% (P = 0.000), a reduction of adherence to treatment by an average of 25% (P = 0.000), and a shift to telemedicine as a main health care service (P = 0.023); these factors raised hemoglobin A1c (HbA1c) levels by 1.81%, 1.78% and 0.075%, respectively. The participants' average body mass index (BMI) increased by 1.26 kg/m2 and HbA1c levels increased by 0.16% during the first year of the pandemic. Also, hospitalizations increased about 2% (P = 0.984), and there was a significant increase in carbohydrate and snack intake (P = 0.330 and P = 0.811, respectively). Children's linear growth decreased by a standard deviation of 0.035 (P = 0.648), and their physical activity decreased by 12.67% (P = 0.383). CONCLUSIONS This study found that adherence to diabetes care was reduced during the pandemic owing to a variety of behavioral reasons and environmental changes (e.g., quarantines and food security). This affected this population's HbA1c levels, BMI, linear growth, and number of hospitalizations as main consequences. Telemedicine remains an important tool, but it must be reconsidered among all different age groups.
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Affiliation(s)
| | - Juan Vega-Vargas
- Departamento de Ingeniería Industrial y de Sistemas, Universidad de Tarapacá, Arica, Chile
| | - Samuel Durán-Aguero
- Escuela de Nutrición y Dietética, Facultad de Ciencias para el Cuidado de Salud, Universidad San Sebastian, Chile
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11
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ElSayed NA, Aleppo G, Bannuru RR, Beverly EA, Bruemmer D, Collins BS, Darville A, Ekhlaspour L, Hassanein M, Hilliard ME, Johnson EL, Khunti K, Lingvay I, Matfin G, McCoy RG, Perry ML, Pilla SJ, Polsky S, Prahalad P, Pratley RE, Segal AR, Seley JJ, Stanton RC, Gabbay RA. 5. Facilitating Positive Health Behaviors and Well-being to Improve Health Outcomes: Standards of Care in Diabetes-2024. Diabetes Care 2024; 47:S77-S110. [PMID: 38078584 PMCID: PMC10725816 DOI: 10.2337/dc24-s005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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12
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Elbarbary NS, Ismail EAR. Mitigating iftar-related glycemic excursions in adolescents and young adults with type 1 diabetes on MiniMed™ 780G advanced hybrid closed loop system: a randomized clinical trial for adjunctive oral vildagliptin therapy during Ramadan fasting. Diabetol Metab Syndr 2023; 15:257. [PMID: 38057844 DOI: 10.1186/s13098-023-01232-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 11/25/2023] [Indexed: 12/08/2023] Open
Abstract
BACKGROUND Ramadan Iftar meal typically causes glucose excursions. Dipeptidyl peptidase-4 inhibitors increase glucagon-like peptide-1 and thus, decrease blood glucose levels with low risk of hypoglycemia. AIM To investigate the efficacy and safety of vildagliptin as an add-on therapy on glucose excursions of Iftar Ramadan meals among adolescents and young adults with type 1 diabetes mellitus (T1DM) using advanced hybrid closed-loop (AHCL) treatment. METHODS Fifty T1DM patients on MiniMed™ 780G AHCL were randomly assigned either to receive vildagliptin (50 mg tablet) with iftar meal during Ramadan month or not. All participants received pre-meal insulin bolus based on insulin-to-carbohydrate ratio (ICR) for each meal constitution. RESULTS Vildagliptin offered blunting of post-meal glucose surges (mean difference - 30.3 mg/dL [- 1.7 mmol/L] versus - 2.9 mg/dL [- 0.2 mmol/L] in control group; p < 0.001) together with concomitant exceptional euglycemia with time in range (TIR) significantly increased at end of Ramadan in intervention group from 77.8 ± 9.6% to 84.7 ± 8.3% (p = 0.016) and time above range (180-250 mg/dL) decreased from 13.6 ± 5.1% to 9.7 ± 3.6% (p = 0.003) without increasing hypoglycemia. A significant reduction was observed in automated daily correction boluses and total bolus dose by 23.9% and 16.3% (p = 0.015 and p < 0.023, respectively) with less aggressive ICR settings within intervention group at end of Ramadan. Coefficient of variation was improved from 37.0 ± 9.4% to 31.8 ± 7.1%; p = 0.035). No severe hypoglycemia or diabetic ketoacidosis were reported. CONCLUSION Adjunctive vildagliptin treatment mitigated postprandial hyperglycemia compared with pre-meal bolus alone. Vildagliptin significantly increased TIR while reducing glycemic variability without compromising safety. Trial registration This trial was registered under ClinicalTrials.gov Identifier no. NCT06021119.
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Affiliation(s)
- Nancy Samir Elbarbary
- Department of Pediatrics, Faculty of Medicine, Ain Shams University, 25 Ahmed Fuad St. Saint Fatima, Heliopolis, Cairo, 11361, Egypt.
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Jelleryd E, Brorsson AL, Smart CE, Käck U, Lindholm Olinder A. Carbohydrate Counting, Empowerment and Glycemic Outcomes in Adolescents and Young Adults with Long Duration of Type 1 Diabetes. Nutrients 2023; 15:4825. [PMID: 38004219 PMCID: PMC10675281 DOI: 10.3390/nu15224825] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 11/15/2023] [Accepted: 11/16/2023] [Indexed: 11/26/2023] Open
Abstract
The complex treatment for diabetes type 1 (T1D) includes insulin dosing for every meal, which requires education and experience to achieve optimal outcomes. Advanced carbohydrate counting (ACC) is the recommended method. We studied ACC as part of a standard treatment with the aim to explore its associations with glycemic control and empowerment in adolescents and young adults. We used national registry data on glycemic outcomes, a study-specific questionnaire regarding the use of ACC and the Gothenburg Young Persons Empowerment Scale (GYPES) to measure empowerment. A total of 111 participants (10-28 years of age, diabetes duration >9 years, mean HbA1c of 55.4 mmol/mol) answered the questionnaire. We found that most participants (79.3%) who learn ACC, at onset or later, continue to use the method. A higher level of empowerment was associated with lower HbA1c (p = 0.021), making patient empowerment an important factor in achieving optimal glycemic outcomes. No associations were found between ACC and empowerment or glycemic outcomes. A mixed strategy, only using ACC sometimes when insulin dosing for meals, was associated with the lowest empowerment score and highest HbA1c and should warrant extra education and support from the diabetes team to reinforce a dosing strategy.
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Affiliation(s)
- Elisabeth Jelleryd
- Department of Clinical Science and Education, Södersjukhuset, Karolinska Institute, 11883 Stockholm, Sweden; (U.K.); (A.L.O.)
- Women’s Health and Allied Health Professionals Theme, Medical Unit Clinical Nutrition, Karolinska University Hospital, 17176 Stockholm, Sweden
| | - Anna Lena Brorsson
- Department of Neurobiology, Care Sciences and Society, Karolinska Institute, 14152 Stockholm, Sweden;
| | - Carmel E. Smart
- Department of Endocrinology, John Hunter Children’s Hospital, Newcastle, NSW 2305, Australia;
- School of Health Sciences, University of Newcastle, Newcastle, NSW 2300, Australia
| | - Ulrika Käck
- Department of Clinical Science and Education, Södersjukhuset, Karolinska Institute, 11883 Stockholm, Sweden; (U.K.); (A.L.O.)
- Sachs’ Children and Youth Hospital, Södersjukhuset, 11883 Stockholm, Sweden
| | - Anna Lindholm Olinder
- Department of Clinical Science and Education, Södersjukhuset, Karolinska Institute, 11883 Stockholm, Sweden; (U.K.); (A.L.O.)
- Sachs’ Children and Youth Hospital, Södersjukhuset, 11883 Stockholm, Sweden
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14
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Sharma R, Upadhyay B, Lal N, Sagar R, Jain V. Carbohydrate Counting vs. Fixed Meal Plan in Indian Children with Type 1 Diabetes Mellitus: A Randomized Controlled Trial. Indian J Pediatr 2023:10.1007/s12098-023-04850-z. [PMID: 37787966 DOI: 10.1007/s12098-023-04850-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 08/17/2023] [Indexed: 10/04/2023]
Abstract
OBJECTIVES To study the impact of carbohydrate counting vs. fixed-meal plan on glycemic control, quality of life (QoL) and diabetes-related emotional distress in children with Type 1 diabetes mellitus (T1DM). METHODS Children aged 6-18 y with T1DM of duration >1 y were eligible for the study if they were on multiple daily injections of insulin and regularly monitoring blood glucose. Those with celiac disease, hypothyroidism, any underlying chronic renal/liver/systemic disease or HbA1c >13% were excluded. Both groups received education on diabetes management and healthy diet. In the intervention arm, parents were taught to quantify carbohydrate content and modify insulin doses according to insulin-carbohydrate ratio. The control arm had dietary prescription according to recommended dietary allowance and food exchange list. Standard validated questionnaires were used to assess the QoL and emotional distress related to diabetes. RESULTS One hundred twenty five patients (61 intervention, 64 controls) were enrolled and 91.8% and 84.3%, respectively, completed 6-mo follow-up. There was a reduction in HbA1c in both the groups, but was not statistically significant within or between groups {Intervention: 8.9 (1.4) to 8.6 (1.5) vs. control: 9.1 (1.6) to 8.8 (1.9), [95% CI 8.3-9.3 vs. 8.3-9.0, intention to treat (ITT), p = 0.63]}. There was a significant reduction in diabetes distress in the intervention group; DAWN Problem Areas in Diabetes Questionnaire (PAID) score with a median (interquartile range) of 21 (11-33) vs. control: 27 (20-40), (p = 0.04). CONCLUSIONS Patients in the carbohydrate-counting group demonstrated lower diabetes distress scores and less emotional burnout compared to fixed-meal plan over a 6 mo period though overall glycemic control was comparable between groups.
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Affiliation(s)
- Rajni Sharma
- Division of Pediatric Endocrinology, Department of Pediatrics, Mother and Child Block, All India Institute of Medical Sciences (AIIMS), New Delhi, 110029, India
| | - Babita Upadhyay
- Division of Pediatric Endocrinology, Department of Pediatrics, Mother and Child Block, All India Institute of Medical Sciences (AIIMS), New Delhi, 110029, India
| | - Nitika Lal
- Division of Pediatric Endocrinology, Department of Pediatrics, Mother and Child Block, All India Institute of Medical Sciences (AIIMS), New Delhi, 110029, India
| | - Rajesh Sagar
- Department of Psychiatry, All India Institute of Medical Sciences, New Delhi, India
| | - Vandana Jain
- Division of Pediatric Endocrinology, Department of Pediatrics, Mother and Child Block, All India Institute of Medical Sciences (AIIMS), New Delhi, 110029, India.
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15
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Uliana GC, Camara LN, Paracampo CCP, da Costa JC, Gomes DL. Characteristics of carbohydrate counting practice associated with adequacy of glycated hemoglobin in adults with type 1 diabetes mellitus in Brazil. Front Endocrinol (Lausanne) 2023; 14:1215792. [PMID: 37766694 PMCID: PMC10519792 DOI: 10.3389/fendo.2023.1215792] [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: 05/02/2023] [Accepted: 08/22/2023] [Indexed: 09/29/2023] Open
Abstract
Background The Carbohydrate Counting (CC) is directly associated with achieving glycemic control by people with Type 1 Diabetes Mellitus (T1DM). Therefore, this study aims to analyze characteristics of the CC practice associated with the adequacy of glycated hemoglobin (HbA1c) in adults with T1DM in Brazil. Methods The study was cross-sectional, carried out using an online form with questions about knowledge of CC, clinical, anthropometric, sociodemographic data, follow-up with health professionals and understanding of the concepts of CC. Pearson's chi-square test and binomial logistic regression analysis (p<0.05) were applied. Results 173 adults participated, of which 57.2% had increased HbA1c (≥7%). Having the diabetes duration <10 years (p=0.006), performing the CC at lunch (p=0.040) and dinner (p=0.018), using specific applications to perform the CC (p=0.001), having learned to perform CC with a nutritionist (p=0.037) and knowing how to correctly define the concepts of food bolus (p=0.001), correction bolus (p<0.001) and insulin/carbohydrate ratio (p<0.001) was associated with having adequate HbA1c (<7%). Participants who were undergoing CC practice were 3.273 times more likely to have adequate HbA1c and participants with diabetes duration <10 years were 2.686 times more likely to have adequate HbA1c. Conclusion It was concluded that variables transversal to CC favor adequate HbA1c values in adults with T1DM and that practicing CC and having a diabetes duration of less than 10 years are predictive factors of having adequate HbA1c.
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Affiliation(s)
| | | | | | | | - Daniela Lopes Gomes
- Nucleus of Behavior Theory Research, Federal University of Pará, Belém, Brazil
- Faculty of Nutrition, Federal University of Pará, Belém, Brazil
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16
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Clerc A. Nutrition education to type 1 diabetes patients: few changes over the time. FRONTIERS IN CLINICAL DIABETES AND HEALTHCARE 2023; 4:1243237. [PMID: 37705724 PMCID: PMC10497213 DOI: 10.3389/fcdhc.2023.1243237] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 08/10/2023] [Indexed: 09/15/2023]
Affiliation(s)
- Aurélien Clerc
- Nutrition Unit, University Training Hospital, Fribourg, Switzerland
- Department of Nutrition and Dietetics, School of Health Sciences, University of Applied Sciences and Arts Western Switzerland (HES-SO), Geneva, Switzerland
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17
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Huang F, Ji X, Xie Y, Li J, Li X, Zhou Z. Structured nutrition and advanced carbohydrate counting questionnaire for adult type 1 diabetes. Chin Med J (Engl) 2023; Publish Ahead of Print:00029330-990000000-00641. [PMID: 37262038 DOI: 10.1097/cm9.0000000000002721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Indexed: 06/03/2023] Open
Affiliation(s)
- Fansu Huang
- Department of Nutrition, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410000, China
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
| | - Xiaolin Ji
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
| | - Yuting Xie
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
| | - Juan Li
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
| | - Xia Li
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
| | - Zhiguang Zhou
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
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Marigliano M, Piona C, Tommaselli F, Maguolo A, Morandi A, Maffeis C. A new proposal for a second insulin bolus to optimize postprandial glucose profile in adolescents with type 1 diabetes. Acta Diabetol 2023; 60:609-618. [PMID: 36705740 DOI: 10.1007/s00592-022-02019-2] [Citation(s) in RCA: 2] [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: 09/20/2022] [Accepted: 12/12/2022] [Indexed: 01/28/2023]
Abstract
AIMS To evaluate whether a second insulin bolus, calculated with a new approach, could improve postprandial glucose (PPG) after the intake of real-life high-fat (HF) and high-protein (HP) mixed meals. METHODS Fifteen adolescents with T1D treated with non-automated insulin pumps and CGM were enrolled. Patients received standard, HF and HP mixed meals treated with one pre-meal insulin bolus; based on differences in PPG between standard, HF and HP meals, correction boluses were calculated (30% and 60% of pre-meal bolus for HF and HP meals, respectively). Then patients received the same HF or HP meal treated with pre-meal bolus plus second insulin bolus after 3 h. Differences between postprandial variables after HF and HP meals treated with one or two insulin boluses were assessed by paired Student's t-test. RESULTS Treating HF and HP meals with two insulin boluses significantly reduced the postprandial BG-AUC (21% and 26% respectively, p < 0.05), increased %TIR (from 52.5 to 78.3% for HF meal; from 32.7 to 57.1% for HP meal; p < 0.01), and reduced mean BG and %TAR (p < 0.01), with no differences in %TBR. CONCLUSIONS The new way to calculate and administer correction boluses 3 h after HF and HP meals is effective and safe in reducing PPG and the hypoglycemia risk.
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Affiliation(s)
- Marco Marigliano
- Section of Pediatric Diabetes and Metabolism, Department of Surgery, Dentistry, Gynecology and Pediatrics, University and Azienda Ospedaliera Universitaria Integrata of Verona, Verona, Italy
| | - Claudia Piona
- Section of Pediatric Diabetes and Metabolism, Department of Surgery, Dentistry, Gynecology and Pediatrics, University and Azienda Ospedaliera Universitaria Integrata of Verona, Verona, Italy.
| | - Francesca Tommaselli
- Section of Pediatric Diabetes and Metabolism, Department of Surgery, Dentistry, Gynecology and Pediatrics, University and Azienda Ospedaliera Universitaria Integrata of Verona, Verona, Italy
| | - Alice Maguolo
- Section of Pediatric Diabetes and Metabolism, Department of Surgery, Dentistry, Gynecology and Pediatrics, University and Azienda Ospedaliera Universitaria Integrata of Verona, Verona, Italy
| | - Anita Morandi
- Section of Pediatric Diabetes and Metabolism, Department of Surgery, Dentistry, Gynecology and Pediatrics, University and Azienda Ospedaliera Universitaria Integrata of Verona, Verona, Italy
| | - Claudio Maffeis
- Section of Pediatric Diabetes and Metabolism, Department of Surgery, Dentistry, Gynecology and Pediatrics, University and Azienda Ospedaliera Universitaria Integrata of Verona, Verona, Italy
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19
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Claudia C, Eleonora R, Laura P, Romina L, Campanino C, Valdo R, Edoardo M, Ilaria D, Rotella F. Orthorexia nervosa and type 1 diabetes: results of a cross-sectional study. Acta Diabetol 2023; 60:681-686. [PMID: 36806923 DOI: 10.1007/s00592-023-02044-9] [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: 10/22/2022] [Accepted: 01/31/2023] [Indexed: 02/23/2023]
Abstract
AIM Orthorexia nervosa (ON) is a condition characterized by an excessive importance attributed to the intake of healthy foods. This study was aimed at investigating the prevalence of ON in subjects with type 1 diabetes (T1D) compared to control subjects. METHODS Patient with T1D using either flash glucose monitoring or continuous glucose monitoring were enrolled. For the selection of control group, each patient was asked to indicate one non-diabetic subject of their same sex and approximate age among colleagues at work and school. Patients and controls completed the following questionnaires: ORTO-15, Dusseldorf Orthorexie Scale (DOS), Eating Disorder Examination Questionnaire (EDE-Q) and Brief Symptom Inventory (BSI). The principal outcome was the prevalence of ON among T1D and control subjects. RESULTS We enrolled 44 patients with T1D aged 39.7 ± 15.7 years, with BMI 24.3 ± 4.3 kg/m2, and mean HbA1c 53.5 [49-57] mmol/mol. Control subjects were similar to T1D with respect to sex, age and BMI. Thirty-two [72%] and 29 [65%] subjects among patients and controls, respectively, had ORTO15 < 40 (between-group p = 0.48). Two (4.5%) and zero subjects among patients and controls, respectively, had DOS ≥ 30 (p = 0.29). Median scores of DOS, but not of ORTO-15, were significantly higher in patients than in controls. None of the metabolic variables showed a correlation with psychometric tests in T1D. CONCLUSION Although the prevalence of ON was not significantly higher in T1D than in controls, patients with T1D showed higher scores of some, but not all, tests assessing orthorexia, without any significant correlation with metabolic parameters.
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Affiliation(s)
| | - Rossi Eleonora
- Psychiatry Unit, Department of Health Sciences, University of Florence, Florence, Italy
| | - Pala Laura
- Department of Diabetology, Careggi Hospital, Florence, Italy
| | - Lelmi Romina
- Department of Experimental and Clinical Biomedical Sciences, University of Florence, Viale Morgagni 50, 50134, Florence, Italy
| | - Chiara Campanino
- Psychiatry Unit, Department of Health Sciences, University of Florence, Florence, Italy
| | - Ricca Valdo
- Psychiatry Unit, Department of Health Sciences, University of Florence, Florence, Italy
| | - Mannucci Edoardo
- Department of Diabetology, Careggi Hospital, Florence, Italy
- Department of Experimental and Clinical Biomedical Sciences, University of Florence, Viale Morgagni 50, 50134, Florence, Italy
| | - Dicembrini Ilaria
- Department of Diabetology, Careggi Hospital, Florence, Italy
- Department of Experimental and Clinical Biomedical Sciences, University of Florence, Viale Morgagni 50, 50134, Florence, Italy
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Kietsiriroje N, Shah H, Zare M, O'Mahoney LL, West DJ, Pearson SM, Ajjan RA, Campbell MD. Dietary fat intake is associated with insulin resistance and an adverse vascular profile in patients with T1D: a pooled analysis. Eur J Nutr 2023; 62:1231-1238. [PMID: 36495341 PMCID: PMC10030402 DOI: 10.1007/s00394-022-03070-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 12/01/2022] [Indexed: 12/14/2022]
Abstract
BACKGROUND Insulin resistance (IR) increases vascular risk in individuals with Type 1 Diabetes (T1D). We aimed to investigate the relationship between dietary intake and IR, as well as vascular biomarkers in T1D. METHODS Baseline data from three randomised controlled trials were pooled. Estimated glucose disposal rate (eGDR) was used as an IR marker. Employing multivariate nutrient density substitution models, we examined the association between macronutrient composition and IR/vascular biomarkers (tumour necrosis factor-α, fibrinogen, tissue factor activity, and plasminogen activator inhibitor-1). RESULTS Of the 107 patients, 50.5% were male with mean age of 29 ± 6 years. Those with lower eGDR were older with a longer diabetes duration, higher insulin requirements, and an adverse vascular profile (p < 0.05). Patients with higher degrees of IR had higher total energy intake (3192 ± 566 vs. 2772 ± 268 vs. 2626 ± 395 kcal/d for eGDR < 5.1 vs. 5.1-8.6 vs. ≥ 8.7 mg/kg/min, p < 0.001) and consumed a higher absolute and proportional amount of fat (47.6 ± 18.6 vs. 30.4 ± 8.1 vs. 25.8 ± 10.4%, p < 0.001). After adjusting for total energy intake, age, sex, and diabetes duration, increased carbohydrate intake offset by an isoenergetic decrease in fat was associated with higher eGDR (β = 0.103, 95% CI 0.044-0.163). In contrast, increased dietary fat at the expense of dietary protein intake was associated with lower eGDR (β = - 0.119, 95% CI - 0.199 to - 0.040). Replacing fat with 5% isoenergetic amount of carbohydrate resulted in decreased vascular biomarkers (p < 0.05). CONCLUSION Higher fat, but not carbohydrate, intake is associated with increased IR and an adverse vascular profile in patients with T1D.
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Affiliation(s)
- Noppadol Kietsiriroje
- Leeds Institute of Cardiovascular and Metabolic Medicine, Faculty of Medicine and Health, University of Leeds, Leeds, UK
- Endocrinology and Metabolism Unit, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand
| | - Hanya Shah
- Faculty of Health Sciences and Wellbeing, University of Sunderland, Sunderland, SR1 3SD, UK
| | - Marios Zare
- Faculty of Health Sciences and Wellbeing, University of Sunderland, Sunderland, SR1 3SD, UK
| | - Lauren L O'Mahoney
- Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, UK
| | - Daniel J West
- Human Nutrition Research Centre, Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle, UK
| | - Sam M Pearson
- Leeds Institute of Cardiovascular and Metabolic Medicine, Faculty of Medicine and Health, University of Leeds, Leeds, UK
| | - Ramzi A Ajjan
- Leeds Institute of Cardiovascular and Metabolic Medicine, Faculty of Medicine and Health, University of Leeds, Leeds, UK
| | - Matthew D Campbell
- Leeds Institute of Cardiovascular and Metabolic Medicine, Faculty of Medicine and Health, University of Leeds, Leeds, UK.
- Faculty of Health Sciences and Wellbeing, University of Sunderland, Sunderland, SR1 3SD, UK.
- Insutiv, T1D One Life Ltd, London, UK.
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21
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Sterner Isaksson S, Ólafsdóttir AF, Lind M. Design of a randomized cross-over study evaluating effects of carbohydrate intake on glycemic control in persons with type 1 diabetes. Front Nutr 2023; 10:1114317. [PMID: 36992911 PMCID: PMC10041710 DOI: 10.3389/fnut.2023.1114317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Accepted: 02/22/2023] [Indexed: 03/18/2023] Open
Abstract
IntroductionDiet is an important factor in managing glycemic control in type 1 diabetes (T1D). Reducing carbohydrate intake may be important for stabilizing blood glucose levels in certain groups of patients with T1D. There are few studies examining the effects of a low carbohydrate diet in patients with T1D. The aim of this study is to investigate the effects of carbohydrate intake on glucose control in adults with T1D.Materials and methodsAdults with T1D (N = 54) and inadequate glycemic control (HbA1c ≥ 7.5%; 58 mmol/mol) were randomized in a cross-over design to a moderate carbohydrate diet (30 percent of total energy from carbohydrates) versus a traditional diabetes diet (50 percent of total energy from carbohydrates) for 4 weeks with a between wash-out period of 4 weeks. Masked continuous glucose monitoring was used throughout the study to evaluate effects on mean blood glucose levels, time-in-range, hypoglycemia, hyperglycemia, and glycemic variability. Diabetes treatment satisfaction, hypoglycemic confidence, and physical activity were measured using questionnaires during different phases of the trial. HbA1c, blood lipids, blood pressure, and ketone levels were also measured. The primary endpoint is the difference in mean blood glucose level between the diet periods. Study completion is anticipated during winter 2022.DiscussionThe study seeks to increase knowledge about the effects of dietary carbohydrate intake on glycemic control and other health parameters in patients with T1D. If beneficial effects on mean blood glucose level without elevated risk of hypoglycemia or ketoacidosis are shown, a moderate carbohydrate diet may be a treatment option for people with T1D that have unsatisfactory blood glucose levels.Clinical Trials Registration:www.clinicaltrials.gov, ID: NCT03400618.
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Affiliation(s)
- Sofia Sterner Isaksson
- Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Medicine, NU Hospital Group, Uddevalla, Sweden
- *Correspondence: Sofia Sterner Isaksson,
| | - Arndís F. Ólafsdóttir
- Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Medicine, NU Hospital Group, Uddevalla, Sweden
| | - Marcus Lind
- Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Medicine, NU Hospital Group, Uddevalla, Sweden
- Department of Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden
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22
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Witkow S, Liberty IF, Goloub I, Kaminsky M, Otto O, Rabia Y, Boehm IH, Golan R. Simplifying carb counting: A randomized controlled study - Feasibility and efficacy of an individualized, simple, patient-centred carb counting tool. Endocrinol Diabetes Metab 2023; 6:e411. [PMID: 36750449 PMCID: PMC10000617 DOI: 10.1002/edm2.411] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 01/11/2023] [Accepted: 01/28/2023] [Indexed: 02/09/2023] Open
Abstract
INTRODUCTION The purpose of this study was to introduce and test a simple, individualized carbohydrate counting tool designed for persons with Type 1 Diabetes Mellitus (T1DM) in order to determine whether the tool improved A1C levels for participants with age, education or language barriers. METHODS In a randomized controlled trial, 85 participants were offered six diabetes instructional sessions free of charge over a six-month period. Forty-one received guidance using the regular carbohydrate counting (RCC) method. Forty-four received guidance using an individualized 'Simple Carb Counting' (SCC), involving two customized tables prepared for participants. RESULTS The simple, individualized SCC tool for carbohydrate counting was non-inferior to the standard method of RCC. The SCC tool was more effective among participants aged 40 and older, while no differences were found when comparing participants by education level. Irrespective of intervention group, all participants improved their A1C level (9.9% = 13.2 mmol/L vs 8.6% = 11.1 mmol/L, p = .001). A greater improvement in A1C level was seen in newly diagnosed participants (-6.1 vs -0.7, p = .005, -3.4 vs 0.9, p = .032) in both the RCC and SCC groups. All participants expressed improved emotional level per their PAID5 questionnaires (Problem Areas in Diabetes Scale-PAID), (10.6 (±5.7) vs 9.5 (±5.7), p = .023), with women reporting greater improvement than men. CONCLUSIONS SCC is a simple, individualized, feasible, low-tech tool for carbohydrate counting, which promotes and enables accurate insulin dosing in people with T1DM. It was found more effective among participants aged 40 and older. Additional studies are needed to corroborate these findings.
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Affiliation(s)
- Shulamit Witkow
- Diabetes Unit, Soroka University Medical CenterBeer ShevaIsrael
| | - Idit F. Liberty
- Diabetes Unit, Soroka University Medical CenterBeer ShevaIsrael
- Ben‐Gurion University of the NegevBeer ShevaIsrael
| | - Irina Goloub
- Diabetes Unit, Soroka University Medical CenterBeer ShevaIsrael
| | - Malka Kaminsky
- Diabetes Unit, Soroka University Medical CenterBeer ShevaIsrael
| | - Olga Otto
- Diabetes Unit, Soroka University Medical CenterBeer ShevaIsrael
- Clalit HMO of the NegevBeer ShevaIsrael
| | - YonesAbu Rabia
- Diabetes Unit, Soroka University Medical CenterBeer ShevaIsrael
- Clalit HMO of the NegevBeer ShevaIsrael
| | | | - Rachel Golan
- Ben‐Gurion University of the NegevBeer ShevaIsrael
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23
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Petrovski G, Campbell J, Pasha M, Day E, Hussain K, Khalifa A, van den Heuvel T. Simplified Meal Announcement Versus Precise Carbohydrate Counting in Adolescents With Type 1 Diabetes Using the MiniMed 780G Advanced Hybrid Closed Loop System: A Randomized Controlled Trial Comparing Glucose Control. Diabetes Care 2023; 46:544-550. [PMID: 36598841 PMCID: PMC10148675 DOI: 10.2337/dc22-1692] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 12/03/2022] [Indexed: 01/05/2023]
Abstract
OBJECTIVE We aimed to compare glucose control in adolescents with type 1 diabetes (T1D) using the MiniMed 780G system who used simplified meal announcement with those who used precise carbohydrate counting. RESEARCH DESIGN AND METHODS This randomized controlled trial included 34 participants (age 12-18 years) with T1D who were on multiple daily injections or insulin pump and were scheduled to start using the MiniMed 780G system at Sidra Medicine in Qatar. After a 7-day run-in period, participants were randomly assigned to the fix group (simplified meal announcement by preset of three personalized fixed carbohydrate amounts) or the flex group (precise carbohydrate counting) and followed for 12 weeks. Between-group difference in time in range (TIR) was the primary end point. Secondary end points included HbA1c and other glycometrics. RESULTS During the 12-week study phase, TIR was 73.5 ± 6.7% in the fix and 80.3 ± 7.4% in the flex group, with a between-group difference of 6.8% in favor of flex (P = 0.043). Time >250 mg/dL was better in the flex group (P = 0.012), whereas HbA1c (P = 0.168), time below range (P = 0.283), and time between 180 and 250 mg/dL (P = 0.114) did not differ. CONCLUSIONS Adolescents using the MiniMed 780G system with a preset of three personalized fixed carbohydrate amounts can reach international targets of glycemic control. Therefore, it may be a valuable alternative to precise carbohydrate counting in users who are challenged by precise carbohydrate counting. Because carbohydrate counting further improves outcomes, these skills remain important for MiniMed 780G users.
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Affiliation(s)
- Goran Petrovski
- 1Division of Endocrinology and Diabetes, Sidra Medicine, Doha, Qatar
| | - Judith Campbell
- 1Division of Endocrinology and Diabetes, Sidra Medicine, Doha, Qatar
| | - Maheen Pasha
- 1Division of Endocrinology and Diabetes, Sidra Medicine, Doha, Qatar
| | - Emma Day
- 1Division of Endocrinology and Diabetes, Sidra Medicine, Doha, Qatar
| | - Khalid Hussain
- 1Division of Endocrinology and Diabetes, Sidra Medicine, Doha, Qatar
| | - Amel Khalifa
- 1Division of Endocrinology and Diabetes, Sidra Medicine, Doha, Qatar
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Bozzetto L, Corrado A, Scidà G. Dietary treatment of type 1 diabetes: Beyond carbohydrate counting to fight cardiovascular risk. Nutr Metab Cardiovasc Dis 2023; 33:299-306. [PMID: 36642609 DOI: 10.1016/j.numecd.2022.12.012] [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: 09/29/2022] [Revised: 12/09/2022] [Accepted: 12/14/2022] [Indexed: 12/24/2022]
Abstract
AIMS Type 1 diabetes (T1D) is tied to an increased risk of cardiovascular morbidity and mortality. Dietary treatment would be an elective therapeutic strategy to fight this risk. However, it is not known what the best dietary approach is. We revisited the currently available literature on the nutritional treatment of T1D in the light of their potential comprehensive effects on the management of cardio-metabolic risk factors (body weight, fasting and postprandial glucose and lipid metabolism). DATA SYNTHESIS Nutritional research in T1D is mainly focused on blood glucose control, with most of the trials aiming at evaluating the acute effects of nutrients on postprandial glycemic response. The effects of the quantity and quality of nutrients and some specific foods on other metabolic risk factors have been explored mainly in cross-sectional analysis. Very few well-designed nutritional trials evaluated the best dietary approach to comprehensively manage cardiovascular risk by targeting along with blood glucose control, overweight, fasting and postprandial dyslipidemia. Therefore, the current best practice guidance for the dietary management of cardiovascular risk in T1D is generally based on evidence from patients with type 2 diabetes. CONCLUSIONS Well-conducted nutritional trials specifically designed for T1D are needed to identify the best dietary treatment to fight cardiovascular risk in these patients.
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Affiliation(s)
- Lutgarda Bozzetto
- Department of Clinical Medicine and Surgery, Federico II University, Naples, Italy.
| | - Alessandra Corrado
- Department of Clinical Medicine and Surgery, Federico II University, Naples, Italy
| | - Giuseppe Scidà
- Department of Clinical Medicine and Surgery, Federico II University, Naples, Italy
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25
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ElSayed NA, Aleppo G, Aroda VR, Bannuru RR, Brown FM, Bruemmer D, Collins BS, Hilliard ME, Isaacs D, Johnson EL, Kahan S, Khunti K, Leon J, Lyons SK, Perry ML, Prahalad P, Pratley RE, Seley JJ, Stanton RC, Young-Hyman D, Gabbay RA, on behalf of the American Diabetes Association. 5. Facilitating Positive Health Behaviors and Well-being to Improve Health Outcomes: Standards of Care in Diabetes-2023. Diabetes Care 2023; 46:S68-S96. [PMID: 36507648 PMCID: PMC9810478 DOI: 10.2337/dc23-s005] [Citation(s) in RCA: 126] [Impact Index Per Article: 126.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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26
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ElSayed NA, Aleppo G, Aroda VR, Bannuru RR, Brown FM, Bruemmer D, Collins BS, Hilliard ME, Isaacs D, Johnson EL, Kahan S, Khunti K, Leon J, Lyons SK, Perry ML, Prahalad P, Pratley RE, Seley JJ, Stanton RC, Gabbay RA, on behalf of the American Diabetes Association. 9. Pharmacologic Approaches to Glycemic Treatment: Standards of Care in Diabetes-2023. Diabetes Care 2023; 46:S140-S157. [PMID: 36507650 PMCID: PMC9810476 DOI: 10.2337/dc23-s009] [Citation(s) in RCA: 365] [Impact Index Per Article: 365.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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Silva Júnior WS, Gabbay MAL, Lamounier RN, Calliari LE, Bertoluci MC. The 2021-2022 position of Brazilian Diabetes Society on insulin therapy in type 1 diabetes: an evidence-based guideline to clinical practice. Diabetol Metab Syndr 2022; 14:189. [PMID: 36510287 PMCID: PMC9743602 DOI: 10.1186/s13098-022-00949-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 11/09/2022] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Insulin therapy regimens for people with type 1 diabetes (PWT1D) should mimic the physiological insulin secretion that occurs in individuals without diabetes. Intensive insulin therapy, whether by multiple daily injections (MDI) or continuous subcutaneous insulin infusion (CSII), constitutes the fundamental therapy from the initial stages of type 1 diabetes (T1D), at all ages. This review is an authorized literal translation of part of the Brazilian Diabetes Society (SBD) Guidelines 2021-2022. This evidence-based guideline supplies guidance on insulin therapy in T1D. METHODS The methods were published elsewhere in earlier SBD guidelines and was approved by the Internal Institutional Steering Committee for publication. Briefly, the Brazilian Diabetes Society indicated fourteen experts to constitute the Central Committee, designed to regulate the method review of the manuscripts, and judge the degrees of recommendations and levels of evidence. SBD Type 1 Diabetes Department drafted the manuscript selecting key clinical questions to do a narrative review using MEDLINE via PubMed, with the best evidence available, including high-quality clinical trials, metanalysis, and large observational studies related to insulin therapy in T1D, by using the Mesh terms [type 1 diabetes] and [insulin]. RESULTS Based on extensive literature review the Central Committee defined ten recommendations. Three levels of evidence were considered: A. Data from more than one randomised clinical trial (RCT) or one metanalysis of RCTs with low heterogeneity (I2 < 40%). B. Data from metanalysis, including large observational studies, a single RCT, or a pre-specified subgroup analysis. C: Data from small or non-randomised studies, exploratory analysis, or consensus of expert opinion. The degree of recommendation was obtained based on a poll sent to the panellists, using the following criteria: Grade I: when more than 90% of agreement; Grade IIa if 75-89% of agreement; IIb if 50-74% of agreement, and III, when most of the panellist recommends against a defined treatment. CONCLUSIONS In PWT1D, it is recommended to start insulin treatment immediately after clinical diagnosis, to prevent metabolic decompensation and diabetic ketoacidosis. Insulin therapy regimens should mimic insulin secretion with the aim to achieve glycemic control goals established for the age group. Intensive treatment with basal-bolus insulin therapy through MDI or CSII is recommended, and insulin analogues offers some advantages in PWT1D, when compared to human insulin. Periodic reassessment of insulin doses should be performed to avoid clinical inertia in treatment.
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Affiliation(s)
- Wellington S. Silva Júnior
- Brazilian Diabetes Society (Sociedade Brasileira de Diabetes—SBD), São Paulo, Brazil
- Endocrinology Discipline, Department of Medicine I, Faculty of Medicine, Center of Biological Sciences, Federal University of Maranhão (UFMA), Praça Gonçalves Dias, 21, Centro, São Luís, MA 65020-240 Brazil
| | - Monica Andrade Lima Gabbay
- Brazilian Diabetes Society (Sociedade Brasileira de Diabetes—SBD), São Paulo, Brazil
- Federal University of São Paulo (Unifesp), São Paulo, SP Brazil
| | - Rodrigo Nunes Lamounier
- Brazilian Diabetes Society (Sociedade Brasileira de Diabetes—SBD), São Paulo, Brazil
- Federal University of Minas Gerais (UFMG), Belo Horizonte, MG Brazil
| | - Luis Eduardo Calliari
- Brazilian Diabetes Society (Sociedade Brasileira de Diabetes—SBD), São Paulo, Brazil
- Santa Casa School of Medical Sciences, São Paulo, SP Brazil
| | - Marcello Casaccia Bertoluci
- Brazilian Diabetes Society (Sociedade Brasileira de Diabetes—SBD), São Paulo, Brazil
- Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, RS Brazil
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Dietary Advice to Support Glycaemic Control and Weight Management in Women with Type 1 Diabetes during Pregnancy and Breastfeeding. Nutrients 2022; 14:nu14224867. [PMID: 36432552 PMCID: PMC9692490 DOI: 10.3390/nu14224867] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 11/06/2022] [Accepted: 11/07/2022] [Indexed: 11/19/2022] Open
Abstract
In women with type 1 diabetes, the risk of adverse pregnancy outcomes, including congenital anomalies, preeclampsia, preterm delivery, foetal overgrowth and perinatal death is 2-4-fold increased compared to the background population. This review provides the present evidence supporting recommendations for the diet during pregnancy and breastfeeding in women with type 1 diabetes. The amount of carbohydrate consumed in a meal is the main dietary factor affecting the postprandial glucose response. Excessive gestational weight gain is emerging as another important risk factor for foetal overgrowth. Dietary advice to promote optimized glycaemic control and appropriate gestational weight gain is therefore important for normal foetal growth and pregnancy outcome. Dietary management should include advice to secure sufficient intake of micro- and macronutrients with a focus on limiting postprandial glucose excursions, preventing hypoglycaemia and promoting appropriate gestational weight gain and weight loss after delivery. Irrespective of pre-pregnancy BMI, a total daily intake of a minimum of 175 g of carbohydrate, mainly from low-glycaemic-index sources such as bread, whole grain, fruits, rice, potatoes, dairy products and pasta, is recommended during pregnancy. These food items are often available at a lower cost than ultra-processed foods, so this dietary advice is likely to be feasible also in women with low socioeconomic status. Individual counselling aiming at consistent timing of three main meals and 2-4 snacks daily, with focus on carbohydrate amount with pragmatic carbohydrate counting, is probably of value to prevent both hypoglycaemia and hyperglycaemia. The recommended gestational weight gain is dependent on maternal pre-pregnancy BMI and is lower when BMI is above 25 kg/m2. Daily folic acid supplementation should be initiated before conception and taken during the first 12 gestational weeks to minimize the risk of foetal malformations. Women with type 1 diabetes are encouraged to breastfeed. A total daily intake of a minimum of 210 g of carbohydrate is recommended in the breastfeeding period for all women irrespective of pre-pregnancy BMI to maintain acceptable glycaemic control while avoiding ketoacidosis and hypoglycaemia. During breastfeeding insulin requirements are reported approximately 20% lower than before pregnancy. Women should be encouraged to avoid weight retention after pregnancy in order to reduce the risk of overweight and obesity later in life. In conclusion, pregnant women with type 1 diabetes are recommended to follow the general dietary recommendations for pregnant and breastfeeding women with special emphasis on using carbohydrate counting to secure sufficient intake of carbohydrates and to avoid excessive gestational weight gain and weight retention after pregnancy.
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Blonde L, Umpierrez GE, Reddy SS, McGill JB, Berga SL, Bush M, Chandrasekaran S, DeFronzo RA, Einhorn D, Galindo RJ, Gardner TW, Garg R, Garvey WT, Hirsch IB, Hurley DL, Izuora K, Kosiborod M, Olson D, Patel SB, Pop-Busui R, Sadhu AR, Samson SL, Stec C, Tamborlane WV, Tuttle KR, Twining C, Vella A, Vellanki P, Weber SL. American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan-2022 Update. Endocr Pract 2022; 28:923-1049. [PMID: 35963508 PMCID: PMC10200071 DOI: 10.1016/j.eprac.2022.08.002] [Citation(s) in RCA: 144] [Impact Index Per Article: 72.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 08/01/2022] [Accepted: 08/02/2022] [Indexed: 02/06/2023]
Abstract
OBJECTIVE The objective of this clinical practice guideline is to provide updated and new evidence-based recommendations for the comprehensive care of persons with diabetes mellitus to clinicians, diabetes-care teams, other health care professionals and stakeholders, and individuals with diabetes and their caregivers. METHODS The American Association of Clinical Endocrinology selected a task force of medical experts and staff who updated and assessed clinical questions and recommendations from the prior 2015 version of this guideline and conducted literature searches for relevant scientific papers published from January 1, 2015, through May 15, 2022. Selected studies from results of literature searches composed the evidence base to update 2015 recommendations as well as to develop new recommendations based on review of clinical evidence, current practice, expertise, and consensus, according to established American Association of Clinical Endocrinology protocol for guideline development. RESULTS This guideline includes 170 updated and new evidence-based clinical practice recommendations for the comprehensive care of persons with diabetes. Recommendations are divided into four sections: (1) screening, diagnosis, glycemic targets, and glycemic monitoring; (2) comorbidities and complications, including obesity and management with lifestyle, nutrition, and bariatric surgery, hypertension, dyslipidemia, retinopathy, neuropathy, diabetic kidney disease, and cardiovascular disease; (3) management of prediabetes, type 2 diabetes with antihyperglycemic pharmacotherapy and glycemic targets, type 1 diabetes with insulin therapy, hypoglycemia, hospitalized persons, and women with diabetes in pregnancy; (4) education and new topics regarding diabetes and infertility, nutritional supplements, secondary diabetes, social determinants of health, and virtual care, as well as updated recommendations on cancer risk, nonpharmacologic components of pediatric care plans, depression, education and team approach, occupational risk, role of sleep medicine, and vaccinations in persons with diabetes. CONCLUSIONS This updated clinical practice guideline provides evidence-based recommendations to assist with person-centered, team-based clinical decision-making to improve the care of persons with diabetes mellitus.
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Affiliation(s)
| | | | - S Sethu Reddy
- Central Michigan University, Mount Pleasant, Michigan
| | | | | | | | | | | | - Daniel Einhorn
- Scripps Whittier Diabetes Institute, La Jolla, California
| | | | | | - Rajesh Garg
- Lundquist Institute/Harbor-UCLA Medical Center, Torrance, California
| | | | | | | | | | | | - Darin Olson
- Colorado Mountain Medical, LLC, Avon, Colorado
| | | | | | - Archana R Sadhu
- Houston Methodist; Weill Cornell Medicine; Texas A&M College of Medicine; Houston, Texas
| | | | - Carla Stec
- American Association of Clinical Endocrinology, Jacksonville, Florida
| | | | - Katherine R Tuttle
- University of Washington and Providence Health Care, Seattle and Spokane, Washington
| | | | | | | | - Sandra L Weber
- University of South Carolina School of Medicine-Greenville, Prisma Health System, Greenville, South Carolina
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Abstract
Adult-onset autoimmune (AOA) diabetes pathophysiology starts with immune changes, followed by dysglycaemia and overt disease. AOA diabetes can occur as classic type 1 diabetes when associated with severe loss of insulin secretion. More frequently, it is diagnosed as latent autoimmune diabetes in adults, a slowly progressing form with late onset, a long period not requiring insulin, and it is often misdiagnosed as type 2 diabetes. As its clinical presentation varies remarkably and immune markers often lack specificity, it is challenging to classify each case ad hoc, especially when insulin treatment is not required at diagnosis. Proper care of AOA diabetes aims to prevent complications and to improve quality of life and life expectancy. To achieve these goals, attention should be paid to lifestyle factors, with the aid of pharmacological therapies properly tailored to each individual clinical setting. Given the heterogeneity of the disease, choosing the right therapy for AOA diabetes is challenging. Most of the trials testing disease-modifying therapies for autoimmune diabetes are conducted in people with childhood onset, whereas non-insulin diabetes therapies have mostly been studied in the larger population with type 2 diabetes. More randomized controlled trials of therapeutic agents in AOA diabetes are needed.
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Martyn-Nemeth P, Duffecy J, Quinn L, Reutrakul S, Steffen AD, Burke L, Clark Withington MH, Irsheed GA, Perez R, Park M, Saleh A, Mihailescu D, Baron KG. Sleep optimization to improve glycemic control in adults with type 1 diabetes: study protocol for a randomized controlled parallel intervention trial. Trials 2022; 23:686. [PMID: 35986415 PMCID: PMC9389486 DOI: 10.1186/s13063-022-06565-6] [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: 04/25/2022] [Accepted: 07/18/2022] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND Despite improvements in treatment regimens and technology, less than 20% of adults with type 1 diabetes (T1D) achieve glycemic targets. Sleep is increasingly recognized as a potentially modifiable target for improving glycemic control. Diabetes distress, poor self-management behaviors, and reduced quality of life have also been linked to sleep variability and insufficient sleep duration. A significant gap of knowledge exists regarding interventions to improve sleep and the effects of sleep optimization on glycemic control in T1D. The purpose of this study is to determine the efficacy of a T1D-specific sleep optimization intervention (Sleep-Opt) on the primary outcomes of sleep variability, sleep duration, and glycemic control (A1C); other glycemic parameters (glycemic variability, time-in-range [TIR]); diabetes distress; self-management behaviors; quality of life; and other patient-reported outcomes in adults with T1D and habitual increased sleep variability or short sleep duration. METHODS A randomized controlled parallel-arm study will be employed in 120 adults (aged 18 to 65 years) with T1D. Participants will be screened for habitual sleep variability (> 1 h/week) or insufficient sleep duration (< 6.5 h per night). Eligible subjects will be randomized to the Sleep-Opt intervention group or healthy living attention control group for 12 weeks. A 1-week run-in period is planned, with baseline measures of sleep by actigraphy (sleep variability and duration), glycemia (A1C and related glycemic measures: glycemic variability and TIR using continuous glucose monitoring), and other secondary outcomes: diabetes distress, self-management behaviors, quality of life, and additional patient-reported outcomes. Sleep-Opt is a technology-assisted behavioral sleep intervention that we recently developed that leverages the rapidly increasing public interest in sleep tracking. Our behavioral intervention employs four elements: a wearable sleep tracker, didactic content, an interactive smartphone application, and brief telephone counseling. The attention control group will participate in a healthy living information program. Baseline measures will be repeated at midpoint, program completion, and post-program (weeks 6, 12, and 24, respectively) to determine differences between the two groups and sustainability of the intervention. DISCUSSION A better understanding of strategies to improve sleep in persons with T1D has the potential to be an important component of diabetes. TRIAL REGISTRATION Clinical Trial Registration: NCT04506151 .
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Affiliation(s)
- Pamela Martyn-Nemeth
- grid.185648.60000 0001 2175 0319Department of Biobehavioral Nursing Science, College of Nursing, University of Illinois Chicago, Chicago, IL USA
| | - Jennifer Duffecy
- grid.185648.60000 0001 2175 0319Department of Psychiatry, College of Medicine, University of Illinois Chicago, Chicago, IL USA
| | - Laurie Quinn
- grid.185648.60000 0001 2175 0319Department of Biobehavioral Nursing Science, College of Nursing, University of Illinois Chicago, Chicago, IL USA
| | - Sirimon Reutrakul
- grid.185648.60000 0001 2175 0319Department of Endocrinology, College of Medicine, University of Illinois Chicago, Chicago, IL USA
| | - Alana D. Steffen
- grid.185648.60000 0001 2175 0319Department of Population Health Nursing Science, College of Nursing, University of Illinois Chicago, Chicago, IL USA
| | - Larisa Burke
- grid.185648.60000 0001 2175 0319Office of Research Facilitation, College of Nursing, University of Illinois Chicago, Chicago, IL USA
| | - Margaret H. Clark Withington
- grid.185648.60000 0001 2175 0319Department of Biobehavioral Nursing Science, College of Nursing, University of Illinois Chicago, Chicago, IL USA
| | - Ghada Abu Irsheed
- grid.185648.60000 0001 2175 0319Department of Biobehavioral Nursing Science, College of Nursing, University of Illinois Chicago, Chicago, IL USA
| | - Rose Perez
- grid.185648.60000 0001 2175 0319Department of Biobehavioral Nursing Science, College of Nursing, University of Illinois Chicago, Chicago, IL USA
| | - Minsun Park
- grid.185648.60000 0001 2175 0319Department of Biobehavioral Nursing Science, College of Nursing, University of Illinois Chicago, Chicago, IL USA
| | - Adam Saleh
- grid.185648.60000 0001 2175 0319Department of Biobehavioral Nursing Science, College of Nursing, University of Illinois Chicago, Chicago, IL USA
| | - Dan Mihailescu
- Department of Endocrinology, Cook County Health, Chicago, IL USA
| | - Kelly Glazer Baron
- grid.223827.e0000 0001 2193 0096Division of Public Health, Department of Family and Preventive Medicine, University of Utah, Salt Lake City, UT USA
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Holder M, Kapellen T, Ziegler R, Bürger-Büsing J, Danne T, Dost A, Holl RW, Holterhus PM, Karges B, Kordonouri O, Lange K, Müller S, Raile K, Schweizer R, von Sengbusch S, Stachow R, Wagner V, Wiegand S, Neu A. Diagnosis, Therapy and Follow-Up of Diabetes Mellitus in Children and Adolescents. Exp Clin Endocrinol Diabetes 2022; 130:S49-S79. [PMID: 35913059 DOI: 10.1055/a-1624-3388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Affiliation(s)
- Martin Holder
- Klinikum Stuttgart, Olgahospital, Department of Pediatric Endocrinology and Diabetology, Germany
| | - Thomas Kapellen
- Department of Paediatrics and Adolescent Medicine, University Hospital, Leipzig, Germany
| | - Ralph Ziegler
- Practice for Paediatrics and Adolescent Medicine, Focus on Diabetology, Münster, Germany
| | - Jutta Bürger-Büsing
- Association of Diabetic Children and Adolescents, Diabetes Center, Kaiserslautern, Germany
| | - Thomas Danne
- Children's and Youth Hospital Auf der Bult, Hannover, Germany
| | - Axel Dost
- Department of Paediatrics and Adolescent Medicine, University Hospital Jena, Germany
| | - Reinhard W Holl
- Institute for Epidemiology and Medical Biometry, ZIBMT, University of Ulm, Germany
| | - Paul-Martin Holterhus
- Department of General Paediatrics, University Hospital Schleswig-Holstein, Kiel Campus, Germany
| | - Beate Karges
- Endocrinology and Diabetology Section, University Hospital, RWTH Aachen University, Germany
| | - Olga Kordonouri
- Children's and Youth Hospital Auf der Bult, Hannover, Germany
| | - Karin Lange
- Department of Medical Psychology, Hannover Medical School, Hannover, Germany
| | | | - Klemens Raile
- Virchow Hospital, University Medicine, Berlin, Germany
| | - Roland Schweizer
- Department of Pediatrics and Adolescent Medicine, University Hospital Tübingen, Germany
| | - Simone von Sengbusch
- Department of Paediatrics and Adolescent Medicine, University Hospital Schleswig-Holstein, Campus Lübeck, Germany
| | - Rainer Stachow
- Sylt Specialist Hospital for Children and Adolescents, Westerland, Germany
| | - Verena Wagner
- Joint Practice for Paediatrics and Adolescent Medicine, Rostock, Germany
| | | | - Andreas Neu
- Department of Pediatrics and Adolescent Medicine, University Hospital Tübingen, Germany
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Dietary interventions for managing glucose abnormalities in people with cystic fibrosis. Hippokratia 2022. [DOI: 10.1002/14651858.cd014708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Singla R, Bindra J, Singla A, Gupta G, Gupta Y, Aggarwal S. Automation of insulin bolus dose calculation in type 1 diabetes: a feasibility study. Int J Diabetes Dev Ctries 2022. [DOI: 10.1007/s13410-022-01054-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/18/2022] Open
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Cristello Sarteau A, Mayer-Davis E. Too Much Dietary Flexibility May Hinder, Not Help: Could More Specific Targets for Daily Food Intake Distribution Promote Glycemic Management among Youth with Type 1 Diabetes? Nutrients 2022; 14:nu14040824. [PMID: 35215477 PMCID: PMC8877269 DOI: 10.3390/nu14040824] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 01/28/2022] [Accepted: 02/09/2022] [Indexed: 01/09/2023] Open
Abstract
Average glycemic levels among youth with type 1 diabetes (T1D) have worsened in some parts of the world over the past decade despite simultaneous increased uptake of diabetes technology, thereby highlighting the persistent need to identify effective behavioral strategies to manage glycemia during this life stage. Nutrition is fundamental to T1D management. We reviewed the evidence base of eating strategies tested to date to improve glycemic levels among youth with T1D in order to identify promising directions for future research. No eating strategy tested among youth with T1D since the advent of flexible insulin regimens—including widely promoted carbohydrate counting and low glycemic index strategies—is robustly supported by the existing evidence base, which is characterized by few prospective studies, small study sample sizes, and lack of replication of results due to marked differences in study design or eating strategy tested. Further, focus on macronutrients or food groups without consideration of food intake distribution throughout the day or day-to-day consistency may partially underlie the lack of glycemic benefits observed in studies to date. Increased attention paid to these factors by future observational and experimental studies may facilitate identification of behavioral targets that increase glycemic predictability and management among youth with T1D.
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Affiliation(s)
- Angelica Cristello Sarteau
- Department of Nutrition, University of North Carolina at Chapel Hill, 245 Rosenau Drive, Chapel Hill, NC 27599, USA;
- Correspondence:
| | - Elizabeth Mayer-Davis
- Department of Nutrition, University of North Carolina at Chapel Hill, 245 Rosenau Drive, Chapel Hill, NC 27599, USA;
- School of Medicine, University of North Carolina at Chapel Hill, 245 Rosenau Drive, Chapel Hill, NC 27599, USA
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Oliveira LMD, Belfort GP, Padilha PDC, Rosado EL, Silva LBGD, Fagherazzi S, Zajdenverg L, Zagury RL, Saunders C. Impact of Carbohydrate Counting Method during Pregnancy in Women with Pregestational Diabetes Mellitus: A Controlled Clinical Trial. REVISTA BRASILEIRA DE GINECOLOGIA E OBSTETRICIA : REVISTA DA FEDERACAO BRASILEIRA DAS SOCIEDADES DE GINECOLOGIA E OBSTETRICIA 2022; 44:220-230. [PMID: 35139572 PMCID: PMC9948103 DOI: 10.1055/s-0042-1742291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
OBJECTIVE To evaluate the effect of the carbohydrate counting method (CCM) on glycemic control, maternal, and perinatal outcomes of pregnant women with pregestational diabetes mellitus (DM). METHODS Nonrandomized controlled clinical trial performed with 89 pregnant women who had pregestational DM and received prenatal care in a public hospital in Rio de Janeiro, state of Rio de Janeiro, Brazil, between 2009 and 2014, subdivided into historic control group and intervention group, not simultaneous. The intervention group (n = 51) received nutritional guidance from the carbohydrate counting method (CCM), and the historical control group (n = 38), was guided by the traditional method (TM). The Mann-Whitney test or the Wilcoxon test were used to compare intra- and intergroup outcomes and analysis of variance (ANOVA) for repeated measures, corrected by the Bonferroni post-hoc test, was used to assess postprandial blood glucose. RESULTS Only the CCM group showed a reduction in fasting blood glucose. Postprandial blood glucose decreased in the 2nd (p = 0.00) and 3rd (p = 0.00) gestational trimester in the CCM group, while in the TM group the reduction occurred only in the 2nd trimester (p = 0.015). For perinatal outcomes and hypertensive disorders of pregnancy, there were no differences between groups. Cesarean delivery was performed in 82% of the pregnant women and was associated with hypertensive disorders (gestational hypertension or pre-eclampsia; p = 0.047). CONCLUSION Both methods of nutritional guidance contributed to the reduction of postprandial glycemia of women and no differences were observed for maternal and perinatal outcomes. However, CCM had a better effect on postprandial glycemia and only this method contributed to reducing fasting blood glucose throughout the intervention. REBEC CLINICAL TRIALS DATABASE The present study was registered in the ReBEC Clinical Trials Database (Registro Brasileiro de Ensaios Clínicos, number RBR-524z9n).
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Affiliation(s)
- Larissa Mello de Oliveira
- Programa de Pós-graduação em Nutrição do Instituto de Nutrição Josué de Castro da Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro - RJ, Brazil
| | - Gabriella Pinto Belfort
- Programa de Pós-graduação em Nutrição do Instituto de Nutrição Josué de Castro da Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro - RJ, Brazil
| | - Patricia de Carvalho Padilha
- Programa de Pós-graduação em Nutrição do Instituto de Nutrição Josué de Castro da Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro - RJ, Brazil
| | - Eliane Lopes Rosado
- Programa de Pós-graduação em Nutrição do Instituto de Nutrição Josué de Castro da Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro - RJ, Brazil
| | - Letícia Barbosa Gabriel da Silva
- Programa de Pós-graduação em Nutrição do Instituto de Nutrição Josué de Castro da Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro - RJ, Brazil
| | | | | | | | - Claudia Saunders
- Programa de Pós-graduação em Nutrição do Instituto de Nutrição Josué de Castro da Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro - RJ, Brazil.,Maternidade Escola da UFRJ, Rio de Janeiro - RJ, Brazil
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Cordon NM, Smart CEM, Smith GJ, Davis EA, Jones TW, Seckold R, Burckhardt MA, King BR. The relationship between meal carbohydrate quantity and the insulin to carbohydrate ratio required to maintain glycaemia is non-linear in young people with type 1 diabetes: A randomized crossover trial. Diabet Med 2022; 39:e14675. [PMID: 34415640 DOI: 10.1111/dme.14675] [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: 05/12/2021] [Revised: 08/13/2021] [Accepted: 08/18/2021] [Indexed: 11/29/2022]
Abstract
OBJECTIVE To determine if the relationship between meal carbohydrate quantity and the insulin to carbohydrate ratio (ICR) required to maintain glycaemia is linear in people with type 1 diabetes. METHODS We used an open labelled randomized four-arm cross-over study design. Participants (N = 31) aged 12-27 years, HbA1c ≤ 64 mmol/mol (8.0%) received insulin doses based on the individual's ICR and the study breakfast carbohydrate quantity and then consumed four breakfasts containing 20, 50, 100 and 150 g of carbohydrate over four consecutive days in randomized order. The breakfast fat and protein percentages were standardized. Postprandial glycaemia was assessed by 5 h continuous glucose monitoring. The primary outcome was percent time in range (TIR) and secondary outcomes included hypoglycaemia, glucose excursion and incremental area under the curve. Statistical analysis included linear mixed modelling and Wilcoxon signed rank tests. RESULTS The 20 g carbohydrate breakfast had the largest proportion of TIR (0.74 ± 0.29 p < 0.04). Hypoglycaemia was more frequent in the 50 g (n = 13, 42%) and 100 g (n = 15, 50%) breakfasts compared to the 20 g (n = 6, 20%) and 150 g (n = 7, 26%) breakfasts (p < 0.029). The 150 g breakfast glucose excursion pattern was different from the smaller breakfasts with the lowest glucose excursion 0-2 h and the highest excursion from 3.5 to 5 h. CONCLUSIONS A non-linear relationship between insulin requirement and breakfast carbohydrate content was observed, suggesting that strengthened ICRs are needed for meals with ≤20 and ≥150 g of carbohydrate. Meals with ≥150 g of carbohydrate may benefit from dual wave bolusing.
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Affiliation(s)
- Natalie M Cordon
- Department of Endocrinology and Diabetes, Princess Margaret Hospital for Children, Perth, Western Australia, Australia
- Telethon Kids Institute, University of Western Australia, Perth, Western Australia, Australia
| | - Carmel E M Smart
- Department of Paediatric Endocrinology and Diabetes, John Hunter Children's Hospital, Newcastle, New South Wales, Australia
- School of Medicine and Public Health, Hunter Medical Research Institute, University of Newcastle, Newcastle, New South Wales, Australia
| | - Grant J Smith
- Telethon Kids Institute, University of Western Australia, Perth, Western Australia, Australia
| | - Elizabeth A Davis
- Department of Endocrinology and Diabetes, Princess Margaret Hospital for Children, Perth, Western Australia, Australia
- Telethon Kids Institute, University of Western Australia, Perth, Western Australia, Australia
- Faculty of Health, School of Medicine, University of Newcastle, Newcastle, New South Wales, Australia
| | - Timothy W Jones
- Department of Endocrinology and Diabetes, Princess Margaret Hospital for Children, Perth, Western Australia, Australia
- Telethon Kids Institute, University of Western Australia, Perth, Western Australia, Australia
- Faculty of Health, School of Medicine, University of Newcastle, Newcastle, New South Wales, Australia
| | - Rowen Seckold
- Department of Paediatric Endocrinology and Diabetes, John Hunter Children's Hospital, Newcastle, New South Wales, Australia
- School of Medicine and Public Health, Hunter Medical Research Institute, University of Newcastle, Newcastle, New South Wales, Australia
- The School of Paediatrics and Child Health, The University of Western Australia, Perth, Western Australia, Australia
| | - Marie-Anne Burckhardt
- Department of Endocrinology and Diabetes, Princess Margaret Hospital for Children, Perth, Western Australia, Australia
- Telethon Kids Institute, University of Western Australia, Perth, Western Australia, Australia
- Faculty of Health, School of Medicine, University of Newcastle, Newcastle, New South Wales, Australia
| | - Bruce R King
- Department of Paediatric Endocrinology and Diabetes, John Hunter Children's Hospital, Newcastle, New South Wales, Australia
- School of Medicine and Public Health, Hunter Medical Research Institute, University of Newcastle, Newcastle, New South Wales, Australia
- The School of Paediatrics and Child Health, The University of Western Australia, Perth, Western Australia, Australia
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Abstract
The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee (https://doi.org/10.2337/dc22-SPPC), are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction (https://doi.org/10.2337/dc22-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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Vetrani C, Calabrese I, Cavagnuolo L, Pacella D, Napolano E, Di Rienzo S, Riccardi G, Rivellese AA, Annuzzi G, Bozzetto L. Dietary determinants of postprandial blood glucose control in adults with type 1 diabetes on a hybrid closed-loop system. Diabetologia 2022; 65:79-87. [PMID: 34689215 PMCID: PMC8660714 DOI: 10.1007/s00125-021-05587-0] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Accepted: 08/10/2021] [Indexed: 02/05/2023]
Abstract
AIMS/HYPOTHESIS The aim of this work was to assess the relationship between meal nutrients and postprandial blood glucose response (PGR) in individuals with type 1 diabetes on a hybrid closed-loop system (HCLS). METHODS The dietary composition of 1264 meals (398 breakfasts, 441 lunches and 425 dinners) was assessed by 7-day food records completed by 25 individuals with type 1 diabetes on HCLSs (12 men/13 women, mean ± SD age 40 ± 12 years, mean ± SD HbA1c 51 ± 10 mmol/mol [6.9 ± 0.2%]). For each meal, PGR (continuous glucose monitoring metrics, glucose incremental AUCs) and insulin doses (pre-meal boluses, post-meal microboluses automatically delivered by the pump and adjustment boluses) over 6 h were evaluated. RESULTS Breakfast, lunch and dinner significantly differed with respect to energy and nutrient intake and insulin doses. The blood glucose postprandial profile showed an earlier peak after breakfast and a slow increase until 4 h after lunch and dinner (p < 0.001). Mean ± SD postprandial time in range (TIR) was better at breakfast (79.3 ± 22.2%) than at lunch (71.3 ± 23.9%) or dinner (70.0 ± 25.9%) (p < 0.001). Significant negative predictors of TIR at breakfast were total energy intake, per cent intake of total protein and monounsaturated fatty acids, glycaemic load and absolute amounts of cholesterol, carbohydrates and simple sugars consumed (p < 0.05 for all). No significant predictors were detected for TIR at lunch. For TIR at dinner, a significant positive predictor was the per cent intake of plant proteins, while negative predictors were glycaemic load and intake amounts of simple sugars and carbohydrate (p < 0.05 for all). CONCLUSIONS/INTERPRETATION This study shows that nutritional factors other than the amount of carbohydrate significantly influence postprandial blood glucose control. These nutritional determinants vary between breakfast, lunch and dinner, with differing effects on postprandial blood glucose profile and insulin requirements, thus remaining a challenge to HCLSs.
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Affiliation(s)
- Claudia Vetrani
- Department of Clinical Medicine and Surgery, Federico II University, Naples, Italy
| | - Ilaria Calabrese
- Department of Clinical Medicine and Surgery, Federico II University, Naples, Italy
| | - Luisa Cavagnuolo
- Department of Clinical Medicine and Surgery, Federico II University, Naples, Italy
| | - Daniela Pacella
- Department of Public Health, Federico II University, Naples, Italy
| | - Elsa Napolano
- Department of Clinical Medicine and Surgery, Federico II University, Naples, Italy
| | - Silvia Di Rienzo
- Department of Clinical Medicine and Surgery, Federico II University, Naples, Italy
| | - Gabriele Riccardi
- Department of Clinical Medicine and Surgery, Federico II University, Naples, Italy
| | - Angela A Rivellese
- Department of Clinical Medicine and Surgery, Federico II University, Naples, Italy
| | - Giovanni Annuzzi
- Department of Clinical Medicine and Surgery, Federico II University, Naples, Italy.
| | - Lutgarda Bozzetto
- Department of Clinical Medicine and Surgery, Federico II University, Naples, Italy
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5. Facilitating Behavior Change and Well-being to Improve Health Outcomes: Standards of Medical Care in Diabetes-2022. Diabetes Care 2022; 45:S60-S82. [PMID: 34964866 DOI: 10.2337/dc22-s005] [Citation(s) in RCA: 127] [Impact Index Per Article: 63.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [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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Mehrdad M, Azarian M, Sharafkhaneh A, Alavi A, Zare R, Hassanzadeh Rad A, Dalili S. Association Between Poor Sleep Quality and Glycemic Control in Adult Patients with Diabetes Referred to Endocrinology Clinic of Guilan: A Cross-sectional Study. Int J Endocrinol Metab 2022; 20:e118077. [PMID: 35432555 PMCID: PMC8994826 DOI: 10.5812/ijem.118077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 09/28/2021] [Accepted: 10/25/2021] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Diabetes is a prevalent chronic medical comorbid condition worldwide. Diabetes mellitus is associated with various sleep disorders. OBJECTIVES We aimed to determine the prevalence of poor sleep and the main factors of sleep interruptions in patients with diabetes mellitus. We further evaluated the association of sleep interruptions with glycemic control in this cohort. METHODS We conducted a cross-sectional study on 266 patients with type 1 and type 2 diabetes recruited from a university outpatient endocrinology clinic. Patients completed a checklist including demographic and disease-related characteristics in addition to the Pittsburgh Sleep Quality Index (PSQI) to evaluate sleep quality. Using the PSQI cutoff score of 5, we created two subgroups of good sleepers (GS) and poor sleepers (PS). RESULTS Our results showed that good sleeper and poor sleeper patients with diabetes were significantly different regarding sex, employment status, BMI, presence of diabetes-related complications, HbA1c, and 2-hour postprandial blood sugar (2HPPBS) (all significant at P < 0.05). The most prevalent factors of sleep interruptions were "waking up to use a bathroom", "feeling hot", "pain", "having coughs or snores", and "bad dreams". Among the subjective factors of sleep interruption, problems with sleep initiation, maintenance, or early morning awakenings in addition to having pain or respiratory problems such as coughing or snoring had the most significant associations with HbA1c. CONCLUSIONS Our study showed significant subjective sleep disturbances (both quality and quantity) in patients with diabetes mellitus (both type I and II) and its association with diabetes control. We further identified the main factors that led to sleep interruptions in this cohort.
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Affiliation(s)
- Mojtaba Mehrdad
- Department of Endocrinology, Guilan University of Medical Sciences, Rasht, Iran
| | - Mehrnaz Azarian
- Razi Clinical Research Development Unit, Guilan University of Medical Sciences, Rasht, Iran
| | - Amir Sharafkhaneh
- Telehealth Cardio-Pulmonary Rehabilitation Program, Medical Care Line, Michael E. DeBakey VA Medical Center, Houston, Texas, USA
| | - Ali Alavi
- Department of Internal Medicine, Inflammatory Lung Diseases Research Center, Razi Hospital, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran
| | - Roghayeh Zare
- Neuroscience Research Center, Guilan University of Medical Sciences, Guilan, Iran
| | - Afagh Hassanzadeh Rad
- Pediatric Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
| | - Setila Dalili
- Pediatric Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
- Corresponding Author: Pediatric Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran.
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Secher AL, Pedersen-Bjergaard U, Svendsen OL, Gade-Rasmussen B, Almdal T, Raimond L, Vistisen D, Nørgaard K. Flash glucose monitoring and automated bolus calculation in type 1 diabetes treated with multiple daily insulin injections: a 26 week randomised, controlled, multicentre trial. Diabetologia 2021; 64:2713-2724. [PMID: 34495375 DOI: 10.1007/s00125-021-05555-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Accepted: 06/17/2021] [Indexed: 10/20/2022]
Abstract
AIMS/HYPOTHESIS We aimed to compare the effects of intermittently scanned continuous glucose monitoring (isCGM) and carbohydrate counting with automated bolus calculation (ABC) with usual care. METHODS In a randomised, controlled, open-label trial carried out at five diabetes clinics in the Capital Region of Denmark, 170 adults with type 1 diabetes for ≥1 year, multiple daily insulin injections and HbA1c > 53 mmol/mol (7.0%) were randomly assigned 1:1:1:1 with centrally prepared envelopes to usual care (n = 42), ABC (n = 41), isCGM (n = 48) or ABC+isCGM (n = 39). Blinded continuous glucose monitoring data, HbA1c and patient-reported outcomes were recorded at baseline and after 26 weeks. The primary outcome was change in time in range using isCGM vs usual care. RESULTS Baseline characteristics were comparable across arms: mean age 47 (SD 13.7) years, median (IQR) diabetes duration 18 (10-28) years and HbA1c 65 (61-72) mmol/mol (8.1% [7.7-8.7%]). Change in time in range using isCGM was comparable to usual care (% difference of 3.9 [-12-23], p = 0.660). The same was true for the ABC and ABC+isCGM arms and for hypo- and hyperglycaemia. Also compared with usual care, using ABC+isCGM reduced HbA1c (4 [95% CI 1, 8] mmol/mol) (0.4 [0.1, 0.7] %-point) and glucose CV (11% [4%, 17%]) and improved treatment satisfaction, psychosocial self-efficacy and present life quality. Treatment satisfaction also improved by using isCGM alone vs usual care. Statistical significance was maintained after multiple testing adjustment concerning glucose CV and treatment satisfaction with ABC+isCGM, and treatment satisfaction with isCGM. Discontinuation was most common among ABC only users, and among completers the ABC was used 4 (2-5) times/day and the number of daily isCGM scans was 5 (1-7) at study end. CONCLUSIONS/INTERPRETATION isCGM alone did not improve time in range, but treatment satisfaction increased in technology-naive people with type 1 diabetes and suboptimal HbA1c. The combination of ABC+isCGM appears advantageous regarding glycaemic variables and patient-reported outcomes, but many showed resistance towards ABC. TRIAL REGISTRATION ClinicalTrials.gov NCT03682237. FUNDING The study is investigator initiated and financed by the Capital Region of Denmark.
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Affiliation(s)
| | - Ulrik Pedersen-Bjergaard
- Department of Endocrinology & Nephrology, Nordsjællands Hospital, Hillerød, Denmark
- Faculty of Health and Medical Sciences, Copenhagen University, Copenhagen N, Denmark
| | - Ole L Svendsen
- Faculty of Health and Medical Sciences, Copenhagen University, Copenhagen N, Denmark
- Department of Endocrinology, Bispebjerg and Frederiksberg Hospital, Copenhagen NV, Denmark
| | | | - Thomas Almdal
- Faculty of Health and Medical Sciences, Copenhagen University, Copenhagen N, Denmark
- Department of Endocrinology PE, Rigshospitalet, Copenhagen Ø, Denmark
| | | | | | - Kirsten Nørgaard
- Steno Diabetes Center Copenhagen, Gentofte, Denmark
- Faculty of Health and Medical Sciences, Copenhagen University, Copenhagen N, Denmark
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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: 120] [Impact Index Per Article: 40.0] [Reference Citation Analysis] [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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44
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Thibault R, Abbasoglu O, Ioannou E, Meija L, Ottens-Oussoren K, Pichard C, Rothenberg E, Rubin D, Siljamäki-Ojansuu U, Vaillant MF, Bischoff SC. ESPEN guideline on hospital nutrition. Clin Nutr 2021; 40:5684-5709. [PMID: 34742138 DOI: 10.1016/j.clnu.2021.09.039] [Citation(s) in RCA: 54] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Accepted: 09/17/2021] [Indexed: 12/16/2022]
Abstract
In hospitals through Europe and worldwide, the practices regarding hospital diets are very heterogeneous. Hospital diets are rarely prescribed by physicians, and sometimes the choices of diets are based on arbitrary reasons. Often prescriptions are made independently from the evaluation of nutritional status, and without taking into account the nutritional status. Therapeutic diets (low salt, gluten-free, texture and consistency modified, …) are associated with decreased energy delivery (i.e. underfeeding) and increased risk of malnutrition. The European Society for Clinical Nutrition and Metabolism (ESPEN) proposes here evidence-based recommendations regarding the organization of food catering, the prescriptions and indications of diets, as well as monitoring of food intake at hospital, rehabilitation center, and nursing home, all of these by taking into account the patient perspectives. We propose a systematic approach to adapt the hospital food to the nutritional status and potential food allergy or intolerances. Particular conditions such as patients with dysphagia, older patients, gastrointestinal diseases, abdominal surgery, diabetes, and obesity, are discussed to guide the practitioner toward the best evidence based therapy. The terminology of the different useful diets is defined. The general objectives are to increase the awareness of physicians, dietitians, nurses, kitchen managers, and stakeholders towards the pivotal role of hospital food in hospital care, to contribute to patient safety within nutritional care, to improve coverage of nutritional needs by hospital food, and reduce the risk of malnutrition and its related complications.
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Affiliation(s)
- Ronan Thibault
- Unité de Nutrition, CHU Rennes, INRAE, INSERM, Univ Rennes, Nutrition Metabolisms and Cancer Institute, NuMeCan, Rennes, France.
| | - Osman Abbasoglu
- Department of Surgery, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | - Elina Ioannou
- Department of Nutrition, Limassol General Hospital, Cyprus
| | - Laila Meija
- Riga Stradins University, Pauls Stradins Clinical University Hospital, Latvia
| | - Karen Ottens-Oussoren
- Department of Nutrition and Dietetics, Amsterdam University Medical Centers, Location VUmc, Amsterdam, the Netherlands
| | - Claude Pichard
- Unité de Nutrition, Hôpitaux Universitaires de Genève, Geneva, Switzerland
| | - Elisabet Rothenberg
- Faculty of Health Sciences Kristianstad University Kristianstad Sweden, Sweden
| | - Diana Rubin
- Vivantes Netzwerk für Gesundheit GmbH, Humboldt Klinikum und Klinikum Spandau, Berlin, Germany
| | | | | | - Stephan C Bischoff
- University of Hohenheim, Institute of Nutritional Medicine, Stuttgart, Germany
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45
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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: 202] [Impact Index Per Article: 67.3] [Reference Citation Analysis] [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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46
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García A, Moscardó V, Ramos-Prol A, Díaz J, Boronat M, Bondia J, Rossetti P. Effect of meal composition and alcohol consumption on postprandial glucose concentration in subjects with type 1 diabetes: a randomized crossover trial. BMJ Open Diabetes Res Care 2021; 9:9/1/e002399. [PMID: 34620620 PMCID: PMC8499260 DOI: 10.1136/bmjdrc-2021-002399] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2021] [Accepted: 09/18/2021] [Indexed: 11/09/2022] Open
Abstract
INTRODUCTION Meal composition is known to affect glycemic variability and glucose control in type 1 diabetes. The objective of this work was to evaluate the effect of high carbohydrate meals of different nutritional composition and alcohol on the postprandial glucose response in patients with type 1 diabetes. RESEARCH DESIGN AND METHODS Twelve participants were recruited to this randomized crossover trial. Following a 4-week run-in period, participants received a mixed meal on three occasions with the same carbohydrate content but different macronutrient composition: high protein-high fat with alcohol (0.7g/kg body weight, beer), high protein-high fat without alcohol, and low protein-low fat without alcohol at 2-week intervals. Plasma and interstitial glucose, insulin, glucagon, growth hormone, cortisol, alcohol, free fatty acids, lactate, and pH concentrations were measured during 6 hours. A statistical analysis was then carried out to determine significant differences between studies. RESULTS Significantly higher late postprandial glucose was observed in studies with higher content of fats and proteins (p=0.0088). This was associated with lower time in hypoglycemia as compared with the low protein and fat study (p=0.0179), at least partially due to greater glucagon concentration in the same period (p=0.04). Alcohol significantly increased lactate, decreased pH and growth hormone, and maintained free fatty acids suppressed during the late postprandial phase (p<0.001), without significant changes in plasma glucose. CONCLUSIONS Our data suggest that the addition of proteins and fats to carbohydrates increases late postprandial blood glucose. Moreover, alcohol consumption together with a mixed meal has relevant metabolic effects without any increase in the risk of hypoglycemia, at least 6 hours postprandially. TRIAL REGISTRATION NUMBER NCT03320993.
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Affiliation(s)
- Alia García
- Department of Endocrinology, Hospital Universitario de La Ribera, Alzira, Spain
| | - Vanessa Moscardó
- GREENIUS Research Group, Universidad Internacional de Valencia, València, Spain
| | - Agustín Ramos-Prol
- Department of Internal Medicine, Endocrinology Unit, Hospital Francesc de Borja, Gandia, Spain
| | - Julián Díaz
- Department of Internal Medicine, Endocrinology Unit, Hospital Francesc de Borja, Gandia, Spain
| | - Miguel Boronat
- Department of Internal Medicine, Endocrinology Unit, Hospital Francesc de Borja, Gandia, Spain
| | - Jorge Bondia
- Instituto Universitario de Automática e Informática Industrial, Universitat Politècnica de València, Valencia, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
| | - Paolo Rossetti
- Department of Internal Medicine, Endocrinology Unit, Hospital Francesc de Borja, Gandia, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
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47
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Luna R, Talanki Manjunatha R, Bollu B, Jhaveri S, Avanthika C, Reddy N, Saha T, Gandhi F. A Comprehensive Review of Neuronal Changes in Diabetics. Cureus 2021; 13:e19142. [PMID: 34868777 PMCID: PMC8628358 DOI: 10.7759/cureus.19142] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/30/2021] [Indexed: 12/11/2022] Open
Abstract
There has been an exponential rise in diabetes mellitus (DM) cases on a global scale. Diabetes affects almost every system of the body, and the nervous system is no exception. Although the brain is dependent on glucose, providing it with the energy required for optimal functionality, glucose also plays a key role in the regulation of oxidative stress, cell death, among others, which furthermore contribute to the pathophysiology of neurological disorders. The variety of biochemical processes engaged in this process is only matched by the multitude of clinical consequences resulting from it. The wide-ranging effects on the central and peripheral nervous system include, but are not limited to axonopathies, neurodegenerative diseases, neurovascular diseases, and general cognitive impairment. All language search was conducted on MEDLINE, COCHRANE, EMBASE, and GOOGLE SCHOLAR till September 2021. The following search strings and Medical Subject Headings (MeSH terms) were used: "Diabetes Mellitus," "CNS," "Diabetic Neuropathy," and "Insulin." We explored the literature on diabetic neuropathy, covering its epidemiology, pathophysiology with the respective molecular pathways, clinical consequences with a special focus on the central nervous system and finally, measures to prevent and treat neuronal changes. Diabetes is slowly becoming an epidemic, rapidly increasing the clinical burden on account of its wide-ranging complications. This review focuses on the neuronal changes occurring in diabetes such as the impact of hyperglycemia on brain function and structure, its association with various neurological disorders, and a few diabetes-induced peripheral neuropathic changes. It is an attempt to summarize the relevant literature about neuronal consequences of DM as treatment options available today are mostly focused on achieving better glycemic control; further research on novel treatment options to prevent or delay the progression of neuronal changes is still needed.
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Affiliation(s)
- Rudy Luna
- Neurofisiología, Instituto Nacional de Neurologia y Neurocirugia, CDMX, MEX
| | | | | | | | - Chaithanya Avanthika
- Medicine and Surgery; Pediatrics, Karnataka Institute of Medical Sciences, Hubli, IND
| | - Nikhil Reddy
- Internal Medicine, Kamineni Academy of Medical Science and Research Centre, Hyderabad, IND
| | - Tias Saha
- Internal Medicine, Diabetic Association Medical College, Faridpur, BGD
| | - Fenil Gandhi
- Medicine, Shree Krishna Hospital, Anand, IND
- Research Project Associate, Memorial Sloan Kettering Cancer Center, New York, USA
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48
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Physical Activity, Dietary Patterns, and Glycemic Management in Active Individuals with Type 1 Diabetes: An Online Survey. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18179332. [PMID: 34501920 PMCID: PMC8431360 DOI: 10.3390/ijerph18179332] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Revised: 08/18/2021] [Accepted: 08/31/2021] [Indexed: 12/19/2022]
Abstract
Individuals with type 1 diabetes (T1D) are able to balance their blood glucose levels while engaging in a wide variety of physical activities and sports. However, insulin use forces them to contend with many daily training and performance challenges involved with fine-tuning medication dosing, physical activity levels, and dietary patterns to optimize their participation and performance. The aim of this study was to ascertain which variables related to the diabetes management of physically active individuals with T1D have the greatest impact on overall blood glucose levels (reported as A1C) in a real-world setting. A total of 220 individuals with T1D completed an online survey to self-report information about their glycemic management, physical activity patterns, carbohydrate and dietary intake, use of diabetes technologies, and other variables that impact diabetes management and health. In analyzing many variables affecting glycemic management, the primary significant finding was that A1C values in lower, recommended ranges (<7%) were significantly predicted by a very-low carbohydrate intake dietary pattern, whereas the use of continuous glucose monitoring (CGM) devices had the greatest predictive ability when A1C was above recommended (≥7%). Various aspects of physical activity participation (including type, weekly time, frequency, and intensity) were not significantly associated with A1C for participants in this survey. In conclusion, when individuals with T1D are already physically active, dietary changes and more frequent monitoring of glucose may be most capable of further enhancing glycemic management.
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Tsoukas MA, Cohen E, Legault L, von Oettingen JE, Yale JF, Vallis M, Odabassian M, El Fathi A, Rutkowski J, Jafar A, Ghanbari M, Gouchie-Provencher N, René J, Palisaitis E, Haidar A. Alleviating carbohydrate counting with a FiASP-plus-pramlintide closed-loop delivery system (artificial pancreas): Feasibility and pilot studies. Diabetes Obes Metab 2021; 23:2090-2098. [PMID: 34047449 DOI: 10.1111/dom.14447] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 05/18/2021] [Accepted: 05/23/2021] [Indexed: 01/07/2023]
Abstract
AIM To assess whether a FiASP-and-pramlintide closed-loop system has the potential to replace carbohydrate counting with a simple meal announcement (SMA) strategy (meal priming bolus without carbohydrate counting) without degrading glycaemic control compared with a FiASP closed-loop system. MATERIALS AND METHODS We conducted a 24-hour feasibility study comparing a FiASP system with full carbohydrate counting (FCC) with a FiASP-and-pramlintide system with SMA. We conducted a subsequent 12-day outpatient pilot study comparing a FiASP-and-placebo system with FCC, a FiASP-and-pramlintide system with SMA, and a FiASP-and-placebo system with SMA. Basal-bolus FiASP-and-pramlintide were delivered at a fixed ratio (1 U:10 μg). Glycaemic outcomes were measured, surveys evaluated gastrointestinal symptoms and diabetes distress, and participant interviews helped establish a preliminary coding framework to assess user experience. RESULTS Seven participants were included in the feasibility analysis. Time spent in 3.9-10 mmol/L was similar between both interventions (81%-84%). Four participants were included in the pilot analysis. Time spent in 3.9-10 mmol/L was similar between the FiASP-and-placebo with FCC and FiASP-and-pramlintide with SMA interventions (70%), but was lower in the FiASP-and-placebo with SMA intervention (60%). Time less than 3.9 mmol/L and gastrointestinal symptoms were similar across all interventions. Emotional distress was moderate at baseline, after the FiASP-and-placebo with FCC and SMA interventions, and fell after the FiASP-and-pramlintide with SMA intervention. SMA reportedly afforded participants flexibility and reduced mealtime concerns. CONCLUSIONS The FiASP-and-pramlintide system has the potential to substitute carbohydrate counting with SMA without degrading glucose control.
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Affiliation(s)
- Michael A Tsoukas
- Division of Endocrinology, McGill University Health Centre, Montreal, Canada
- The Research Institute of McGill University Health Centre, Montreal, Canada
| | - Elisa Cohen
- Division of Experimental Medicine, McGill University, Montreal, Canada
| | - Laurent Legault
- The Research Institute of McGill University Health Centre, Montreal, Canada
- Department of Pediatrics, Division of Pediatric Endocrinology, McGill University Health Centre, Montreal, Canada
| | - Julia E von Oettingen
- The Research Institute of McGill University Health Centre, Montreal, Canada
- Department of Pediatrics, Division of Pediatric Endocrinology, McGill University Health Centre, Montreal, Canada
| | - Jean-François Yale
- Division of Endocrinology, McGill University Health Centre, Montreal, Canada
- The Research Institute of McGill University Health Centre, Montreal, Canada
| | - Michael Vallis
- Department of Family Medicine, Dalhousie University, Halifax, Canada
| | - Madison Odabassian
- Department of Biomedical Engineering, McGill University, Montreal, Canada
| | - Anas El Fathi
- Department of Biomedical Engineering, McGill University, Montreal, Canada
| | - Joanna Rutkowski
- Department of Biomedical Engineering, McGill University, Montreal, Canada
| | - Adnan Jafar
- Department of Biomedical Engineering, McGill University, Montreal, Canada
| | - Milad Ghanbari
- Department of Biomedical Engineering, McGill University, Montreal, Canada
| | | | - Jennifer René
- The Research Institute of McGill University Health Centre, Montreal, Canada
| | - Emilie Palisaitis
- Department of Biomedical Engineering, McGill University, Montreal, Canada
| | - Ahmad Haidar
- The Research Institute of McGill University Health Centre, Montreal, Canada
- Department of Biomedical Engineering, McGill University, Montreal, Canada
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50
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Lu JC, Vogrin S, McAuley SA, Lee MH, Paldus B, Bach LA, Burt MG, Clarke PM, Cohen ND, Colman PG, de Bock MI, Jane Holmes-Walker D, Jenkins AJ, Kaye J, Keech AC, Kumareswaran K, MacIsaac RJ, McCallum RW, Roem K, Sims C, Stranks SN, Trawley S, Ward GM, Sundararajan V, Jones TW, O'Neal DN. Meal-time glycaemia in adults with type 1 diabetes using multiple daily injections vs insulin pump therapy following carbohydrate-counting education and bolus calculator provision. Diabetes Res Clin Pract 2021; 179:109000. [PMID: 34455185 DOI: 10.1016/j.diabres.2021.109000] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2020] [Revised: 05/14/2021] [Accepted: 08/06/2021] [Indexed: 11/17/2022]
Abstract
AIMS To compare meal-time glycaemia in adults with type 1 diabetes mellitus (T1D) managed with multiple daily injections (MDI) vs. insulin pump therapy (IPT), using self-monitoring blood glucose (SMBG), following diabetes education. METHODS Adults with T1D received carbohydrate-counting education and a bolus calculator: MDI (Roche Aviva Expert) and IPT (pump bolus calculator). All then wore 3-weeks of masked-CGM (Enlite, Medtronic). Meal-times were assessed by two approaches: 1) Set time-blocks (breakfast 06:00-10:00hrs; lunch 11:00-15:00hrs; dinner 17:00-21:00hrs) and 2) Bolus-calculator carbohydrate entries signalling meal commencement. Post-meal masked-CGM time-in-range (TIR) 3.9-10.0 mmol/L was the primary outcome. RESULTS MDI(n = 61) and IPT (n = 59) participants were equivalent in age, sex, diabetes duration and HbA1c. Median (IQR) education time provided did not differ (MDI: 1.1 h (0.75, 1.5) vs. IPT: 1.1 h (1.0, 2.0); p = 0.86). Overall, daytime (06:00-24:00hrs), lunch and dinner TIR did not differ for MDI vs. IPT participants but was greater for breakfast with IPT in both analyses with a mean difference of 12.8%, (95 CI 4.8, 20.9); p = 0.002 (time-block analysis). CONCLUSION After diabetes education, MDI and IPT use were associated with similar day-time glycemia, though IPT users had significantly greater TIR during the breakfast period. With education, meal-time glucose levels are comparable with use of MDI vs. pumps.
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Affiliation(s)
- Jean C Lu
- Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia; Department of Medicine, University of Melbourne, Fitzroy, Victoria, Australia
| | - Sara Vogrin
- Department of Medicine, University of Melbourne, Fitzroy, Victoria, Australia
| | - Sybil A McAuley
- Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia; Department of Medicine, University of Melbourne, Fitzroy, Victoria, Australia
| | - Melissa H Lee
- Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia; Department of Medicine, University of Melbourne, Fitzroy, Victoria, Australia
| | - Barbora Paldus
- Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia; Department of Medicine, University of Melbourne, Fitzroy, Victoria, Australia
| | - Leon A Bach
- Department of Endocrinology and Diabetes, Alfred Hospital, Melbourne, Victoria, Australia; Department of Medicine (Alfred), Monash University, Melbourne, Victoria, Australia
| | - Morton G Burt
- Southern Adelaide Diabetes and Endocrine Services, Flinders Medical Centre, Adelaide, South Australia, Australia; School of Medicine, Flinders University, Adelaide, South Australia, Australia
| | - Philip M Clarke
- Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Neale D Cohen
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Peter G Colman
- Department of Diabetes and Endocrinology, Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Martin I de Bock
- Department of Paediatrics, University of Otago, Christchurch, New Zealand
| | - D Jane Holmes-Walker
- Department of Diabetes and Endocrinology, Westmead Hospital, Sydney, New South Wales, Australia; Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia
| | - Alicia J Jenkins
- Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia; Department of Medicine, University of Melbourne, Fitzroy, Victoria, Australia; NHMRC Clinical Trials Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Joey Kaye
- Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Perth, Western Australia, Australia
| | - Anthony C Keech
- NHMRC Clinical Trials Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Kavita Kumareswaran
- Department of Endocrinology and Diabetes, Alfred Hospital, Melbourne, Victoria, Australia; Department of Medicine (Alfred), Monash University, Melbourne, Victoria, Australia
| | - Richard J MacIsaac
- Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia; Department of Medicine, University of Melbourne, Fitzroy, Victoria, Australia
| | - Roland W McCallum
- Department of Diabetes and Endocrinology, Royal Hobart Hospital, Hobart, Tasmania, Australia
| | - Kerryn Roem
- Department of Medicine, University of Melbourne, Fitzroy, Victoria, Australia
| | - Catriona Sims
- Department of Medicine, University of Melbourne, Fitzroy, Victoria, Australia
| | - Stephen N Stranks
- Southern Adelaide Diabetes and Endocrine Services, Flinders Medical Centre, Adelaide, South Australia, Australia; School of Medicine, Flinders University, Adelaide, South Australia, Australia
| | | | - Glenn M Ward
- Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia; Department of Medicine, University of Melbourne, Fitzroy, Victoria, Australia; Department of Pathology, St Vincent's Hospital Melbourne, Melbourne, Victoria, Australia
| | - Vijaya Sundararajan
- Department of Medicine, University of Melbourne, Fitzroy, Victoria, Australia; Department of Public Health, La Trobe University, Australia
| | - Timothy W Jones
- Department of Endocrinology and Diabetes, Princess Margaret Hospital for Children, Perth, Western Australia, Australia; Telethon Kids Institute, University of Western Australia, Perth, Western Australia, Australia; School of Paediatrics and Child Health, University of Western Australia, Perth, Western Australia, Australia
| | - David N O'Neal
- Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia; Department of Medicine, University of Melbourne, Fitzroy, Victoria, Australia; NHMRC Clinical Trials Centre, University of Sydney, Sydney, New South Wales, Australia.
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