1
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Ajie M, van Heck JIP, Verhulst CEM, Fabricius TW, Hendriksz MS, McCrimmon RJ, Pedersen-Bjergaard U, de Galan B, Stienstra R, Tack CJ. Real-life hypoglycaemia partially blunts the inflammatory response to experimental hypoglycaemia in people with type 1 diabetes. Diabetes Obes Metab 2024; 26:3696-3704. [PMID: 38899554 DOI: 10.1111/dom.15712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Revised: 05/18/2024] [Accepted: 05/29/2024] [Indexed: 06/21/2024]
Abstract
AIM To determine whether recent repeated exposure to real-life hypoglycaemia affects the pro-inflammatory response during a hypoglycemia episode. MATERIALS AND METHODS This was a post hoc analysis of a hyperinsulinaemic normoglycaemic-hypoglycaemic clamp study, involving 40 participants with type 1 diabetes. Glucose levels 1 week before the clamp were monitored using a Freestyle Libre 1. Blood was drawn during normoglycaemia and hypoglycaemia, and 24 hours after resolution of hypoglycaemia for measurements of inflammatory responses and counterregulatory hormone levels. We determined the relationship between the frequency and duration of spontaneous hypoglycaemia, and time below range (TBR) and the inflammatory response to experimental hypoglycaemia. RESULTS On average, participants experienced 0.79 (0.43, 1.14) hypoglycaemia episodes per day, with a duration of 78 (47, 110) minutes and TBR of 5.5% (2.8%, 8.5%). TBR and hypoglycaemia frequency were inversely associated with the increase in circulating granulocyte and lymphocyte counts during experimental hypoglycaemia (P < .05 for all). A protein network consisting of DNER, IF-R, uPA, Flt3L, FGF-5 and TWEAK was negatively associated with hypoglycaemia frequency (P < .05), but not with the adrenaline response. Neither other counterregulatory hormones, nor hypoglycaemia awareness status, was associated with any of the inflammatory parameters markers. CONCLUSIONS Repeated exposure to spontaneous hypoglycaemia is associated with blunted effects of subsequent experimental hypoglycaemia on circulating immune cells and the number of inflammatory proteins.
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Affiliation(s)
- Mandala Ajie
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Julia I P van Heck
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Clementine E M Verhulst
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Therese W Fabricius
- Department of Endocrinology and Nephrology, Nordsjællands Hospital, Hillerød, Denmark
| | - Marijn S Hendriksz
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | | | - Ulrik Pedersen-Bjergaard
- Department of Endocrinology and Nephrology, Nordsjællands Hospital, Hillerød, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Bastiaan de Galan
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
- CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands
- Department of Internal Medicine, Maastricht University Medical Centre +, Maastricht, The Netherlands
| | - Rinke Stienstra
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
- Division of Human Nutrition and Health, Wageningen University, Wageningen, The Netherlands
| | - Cees J Tack
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
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2
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Svensson CH, Fabricius TW, Verhulst CEM, Kristensen PL, Tack CJ, Heller SR, Amiel SA, McCrimmon RJ, Evans M, Holst JJ, de Galan BE, Pedersen-Bjergaard U. Association between recent exposure to continuous glucose monitoring-recorded hypoglycaemia and counterregulatory and symptom responses to subsequent controlled hypoglycaemia in people with type 1 diabetes. Diabetes Obes Metab 2024; 26:3213-3222. [PMID: 38774963 DOI: 10.1111/dom.15649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 04/25/2024] [Accepted: 04/26/2024] [Indexed: 07/10/2024]
Abstract
AIM Experimental hypoglycaemia blunts the counterregulatory hormone and symptom responses to a subsequent episode of hypoglycaemia. In this study, we aimed to assess the associations between antecedent exposure and continuous glucose monitoring (CGM)-recorded hypoglycaemia during a 1-week period and the counterregulatory responses to subsequent experimental hypoglycaemia in people with type 1 diabetes. MATERIALS AND METHODS Forty-two people with type 1 diabetes (20 females, mean ± SD glycated haemoglobin 7.8% ± 1.0%, diabetes duration median (interquartile range) 22.0 (10.5-34.9) years, 29 CGM users, and 19 with impaired awareness of hypoglycaemia) wore an open intermittently scanned CGM for 1 week to detect hypoglycaemic exposure before a standardized hyperinsulinaemic-hypoglycaemic [2.8 ± 0.1 mmol/L (50.2 ± 2.3 mg/dl)] glucose clamp. Symptom responses and counterregulatory hormones were measured during the clamp. The study is part of the HypoRESOLVE project. RESULTS CGM-recorded hypoglycaemia in the week before the clamp was negatively associated with adrenaline response [β -0.09, 95% CI (-0.16, -0.02) nmol/L, p = .014], after adjusting for CGM use, awareness of hypoglycaemia, glycated haemoglobin and total daily insulin dose. This was driven by level 2 hypoglycaemia [<3.0 mmol/L (54 mg/dl)] [β -0.21, 95% CI (-0.41, -0.01) nmol/L, p = .034]. CGM-recorded hypoglycaemia was negatively associated with total, autonomic, and neuroglycopenic symptom responses, but these associations were lost after adjusting for potential confounders. CONCLUSIONS Recent exposure to CGM-detected hypoglycaemia was independently associated with an attenuated adrenaline response to experimental hypoglycaemia in people with type 1 diabetes.
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Affiliation(s)
- Cecilie H Svensson
- Department of Endocrinology and Nephrology, Nordsjællands Hospital, Hillerød, Denmark
| | - Therese W Fabricius
- Department of Endocrinology and Nephrology, Nordsjællands Hospital, Hillerød, Denmark
| | - Clementine E M Verhulst
- Department of Internal Medicine, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Peter L Kristensen
- Department of Endocrinology and Nephrology, Nordsjællands Hospital, Hillerød, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Cees J Tack
- Department of Internal Medicine, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Simon R Heller
- Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK
| | - Stephanie A Amiel
- Department of Diabetes, School of Cardiovascular and Metabolic Medicine and Science, Faculty of Life Sciences & Medicine, King's College London, London, UK
| | | | - Mark Evans
- Welcome/MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Jens J Holst
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, Novo Nordisk Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - Bastiaan E de Galan
- Department of Internal Medicine, Radboud University Medical Centre, Nijmegen, The Netherlands
- Division of Endocrinology, Department of Internal Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands
- CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands
| | - Ulrik Pedersen-Bjergaard
- Department of Endocrinology and Nephrology, Nordsjællands Hospital, Hillerød, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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3
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Hatle H, Skrivarhaug T, Bjørgaas MR, Åsvold BO, Rø TB. Prevalence and associations of impaired awareness of hypoglycemia in a pediatric type 1 diabetes population - The Norwegian Childhood Diabetes Registry. Diabetes Res Clin Pract 2024; 209:111093. [PMID: 38224875 DOI: 10.1016/j.diabres.2024.111093] [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: 11/10/2023] [Revised: 01/04/2024] [Accepted: 01/09/2024] [Indexed: 01/17/2024]
Abstract
AIMS To determine the prevalence and associations of impaired awareness of hypoglycemia (IAH) in pediatric type 1 diabetes. METHODS Nationwide, population-based cross-sectional study with 51 % participation. Participants (n = 1329; 53 % males) aged 2-19 years (median 13.3) with type 1 diabetes ≥ 6 months (median 4.6 years) self-assessed hypoglycemia awareness with a validated questionnaire ('Clarke'). Parents responded for children aged < 9 years (n = 235). We estimated associations between IAH and clinical data in the Norwegian Childhood Diabetes Registry. RESULTS The overall prevalence of IAH was 22 %, but gradually decreased from 53 % in preschoolers to 12 % in adolescents aged ≥ 16 years. IAH was associated (adjusted OR; 95 %CI) with episodes of severe hypoglycemia (6.0; 3.04, 11.8) and diabetic ketoacidosis (3.45; 1.37, 8.68) the preceding year, increased fear of hypoglycemia (highest quartile vs. lowest: 2.27; 1.51, 3.40), female sex (1.41; 1.05, 1.90), and HbA1c ≥ 8.5 % (69 mmol/mol) vs. 7.5-8.4 % (58-68 mmol/mol) (1.48; 1.01, 2.18), but not with disease duration, use of insulin pump or continuous glucose monitoring, or HbA1c < 7.5 % (58 mmol/mol). CONCLUSIONS IAH is prevalent in pediatric diabetes and more likely reported in young children. IAH is associated with severe hypoglycemia and fear of hypoglycemia, but good metabolic control seems achievable without increased risk of IAH.
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Affiliation(s)
- Håvard Hatle
- Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, NTNU, Norwegian University of Science and Technology, Trondheim, Norway; Children's Clinic, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway.
| | - Torild Skrivarhaug
- Division of Paediatric and Adolescence Medicine, Oslo University Hospital, Oslo, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Oslo Diabetes Research Centre, Oslo University Hospital, Oslo, Norway
| | - Marit R Bjørgaas
- Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, NTNU, Norwegian University of Science and Technology, Trondheim, Norway; Department of Endocrinology, Clinic of Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Bjørn O Åsvold
- Department of Endocrinology, Clinic of Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway; K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
| | - Torstein B Rø
- Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, NTNU, Norwegian University of Science and Technology, Trondheim, Norway; Children's Clinic, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
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4
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Suman S, Kumar A, Kumar M, Saxena I. Reactive Hypoglycemia in Patients Prior to Cataract Surgery: A Case Series. Cureus 2024; 16:e55126. [PMID: 38420291 PMCID: PMC10900283 DOI: 10.7759/cureus.55126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/28/2024] [Indexed: 03/02/2024] Open
Abstract
Cataract surgery is one of the most frequently performed surgical procedures and is often performed under topical anesthesia in conscious patients. Sweating, palpitations, and anxiety may be seen in patients about to undergo surgery. However, these are typical adrenergic symptoms of hypoglycemia and should be further investigated if occurring before surgery. Here, we report five cases of postprandial or reactive hypoglycemia observed in hospital settings just before conducting cataract surgeries in non-diabetic 52-78-year-old patients from 2019 to 2023.
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Affiliation(s)
- Suwarna Suman
- Ophthalmology, All India Institute of Medical Sciences, Jodhpur, Jodhpur, IND
| | - Arushi Kumar
- Otolaryngology, Nalanda Medical College Patna, Patna, IND
| | - Manoj Kumar
- Physiology, Maharshi Vashishtha Autonomous State Medical College, Basti, Rampur, IND
| | - Indu Saxena
- Biochemistry, All India Institute of Medical Sciences, Gorakhpur, Gorakhpur, IND
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5
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Mark-Wagstaff C, Deshmukh H, Wilmot EG, Walker N, Barnes D, Parfitt V, Saunders S, Gregory R, Choudhary P, Patmore J, Walton C, Ryder REJ, Sathyapalan T. Intermittently scanned continuous glucose monitoring and hypoglycaemia awareness in drivers with diabetes: Insights from the Association of British Clinical Diabetologists Nationwide audit. Diabetes Obes Metab 2024; 26:46-53. [PMID: 37718554 DOI: 10.1111/dom.15283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 08/21/2023] [Accepted: 08/28/2023] [Indexed: 09/19/2023]
Abstract
AIM Frequent hypoglycaemia results in disruption to usual hypoglycaemic autonomic responses leading to impaired awareness of hypoglycaemia, which is associated with an increased risk of severe hypoglycaemia requiring third-party assistance (SH). The UK Driving and Vehicle Licensing Agency (DVLA) does not permit car driving if they have either a complete loss of hypoglycaemia awareness or more than one SH event a year. METHODS The FreeStyle Libre (FSL) Association of British Clinical Diabetologists (ABCD) Nationwide Audit consists of data collected by clinicians during routine clinical work, submitted into a secure web-based tool held within the National Health Service (NHS) N3 network. Analysis of paired baseline and follow-up data for people with type 1 diabetes who also held a driving licence was undertaken. RESULTS The study consisted of 6304 people who had data recorded about driving status from 102 UK specialist diabetes centres, of which 4218 held a driving licence: 4178 a group 1, standard licence, 33 a group 2, large lorries and buses, seven a taxi licence; 1819 did not drive. Paired baseline and follow-up data were available for a sub-cohort of 1606/4218. At a mean follow-up of 6.9 months [95% CI (6.8, 7.1)], the Gold score had improved (2.3 ± 1.5 vs. 2.0 ± 1.3 p < .001), and the number of people who experienced an SH episode was also significantly lower (12.1% vs. 2.7%, p < .001). CONCLUSION This study suggests that intermittently scanned continuous glucose monitoring may improve impaired awareness of hypoglycaemia and reduce the number of people with type 1 diabetes with a driving licence experiencing a severe hypoglycaemic episode.
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Affiliation(s)
| | - Harshal Deshmukh
- Hull University Teaching Hospitals NHS Trust, Hull, UK
- University of Hull, Hull, UK
| | - Emma G Wilmot
- University of Nottingham, Nottingham, UK
- University Hospitals of Derby and Burton NHS Foundation Trust, Derby, UK
| | - Neil Walker
- Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK
| | - Dennis Barnes
- Maidstone and Tunbridge Wells NHS Trust, Tunbridge Wells, UK
| | | | | | - Rob Gregory
- University Hospitals of Leicester NHS Trust, Leicester, UK
| | | | - Jane Patmore
- Hull University Teaching Hospitals NHS Trust, Hull, UK
| | - Chris Walton
- Hull University Teaching Hospitals NHS Trust, Hull, UK
| | - Robert E J Ryder
- Sandwell and West Birmingham Hospitals NHS Trust, Birmingham, UK
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6
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Gardner D, Tan HC, Lim GH, Zin Oo M, Xin X, Rama Chandran S. Relationship between CGM-derived nocturnal hypoglycemia and subjective sleep quality in people with type 1 diabetes. Sci Rep 2023; 13:20887. [PMID: 38017001 PMCID: PMC10684550 DOI: 10.1038/s41598-023-47351-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Accepted: 11/12/2023] [Indexed: 11/30/2023] Open
Abstract
This pilot study explores the relationship between nocturnal hypoglycemia (NH) and subjective sleep quality in people with type 1 diabetes (T1D). Twenty-seven adults with T1D wore a Freestyle Libre Pro CGM and recorded subjective sleep quality daily, as assessed by a single Likert scale question. Frequency, duration, area under the curve (AUC) of NH (00:00-06:00) defined as sensor glucose below threshold (< 3.9 mmol/L; < 3 mmol/L) for ≥ 15 min, nocturnal mean glucose, Time in Range (3.9-10 mmol/L), and coefficient of variation were calculated. Twenty-seven adults, 18 (66.7%) women, with median (IQR) age of 27 (26, 32) years and HbA1c of 7.6 (7.1, 8.1) participated. Nights with NH < 3.9 mmol/L resulted in a lower (worse) sleep score than nights without NH [Mean (SD): 3.3 (1.2) vs 3.5 (1.0), p = 0.03). A higher frequency and longer duration but not AUC [adjusted OR (95% CI) 0.52 (0.38, 0.72), 0.961 (0.932, 0.991), 0.999 (0.998, 1.001) respectively)], of NH < 3.9 mmol/L, were associated with a lower sleep score. NH < 3.0 mmol/L metrics were not associated with sleep quality. Recurrent NH < 3.9 mmol/L, rather than prolonged NH < 3.0 mmol/L, seems associated with subjective sleep quality, implying that those with the highest burden of NH are likely unaware of it.
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Affiliation(s)
- Daphne Gardner
- Department of Endocrinology, Academia, Singapore General Hospital, Level 3, 20 College Road, Singapore, 169 856, Singapore
- SingHealth-Duke NUS Diabetes Centre, Singapore General Hospital, Singapore, Singapore
| | - Hong Chang Tan
- Department of Endocrinology, Academia, Singapore General Hospital, Level 3, 20 College Road, Singapore, 169 856, Singapore
- SingHealth-Duke NUS Diabetes Centre, Singapore General Hospital, Singapore, Singapore
| | - Gek Hsiang Lim
- Health Sciences Research Unit, Singapore General Hospital, Singapore, Singapore
| | - May Zin Oo
- Medicine Academic Clinical Program, Singapore General Hospital, Singapore, Singapore
| | - Xiaohui Xin
- Health Sciences Research Unit, Singapore General Hospital, Singapore, Singapore
| | - Suresh Rama Chandran
- Department of Endocrinology, Academia, Singapore General Hospital, Level 3, 20 College Road, Singapore, 169 856, Singapore.
- SingHealth-Duke NUS Diabetes Centre, Singapore General Hospital, Singapore, Singapore.
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7
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Macon EL, Devore MH, Lin YK, Music MB, Wooten M, McMullen CA, Woodcox AM, Marksbury AR, Beckner Z, Patel BV, Schoeder LA, Iles AN, Fisher SJ. Current and future therapies to treat impaired awareness of hypoglycemia. Front Pharmacol 2023; 14:1271814. [PMID: 37942482 PMCID: PMC10628050 DOI: 10.3389/fphar.2023.1271814] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 10/05/2023] [Indexed: 11/10/2023] Open
Abstract
In order to achieve optimal glycemic control, intensive insulin regimes are needed for individuals with Type 1 Diabetes (T1D) and insulin-dependent Type 2 Diabetes (T2D). Unfortunately, intensive glycemic control often results in insulin-induced hypoglycemia. Moreover, recurrent episodes of hypoglycemia result in both the loss of the characteristic warning symptoms associated with hypoglycemia and an attenuated counterregulatory hormone responses. The blunting of warning symptoms is known as impaired awareness of hypoglycemia (IAH). Together, IAH and the loss of the hormonal response is termed hypoglycemia associated autonomic failure (HAAF). IAH is prevalent in up to 25% in people with T1D and up to 10% in people with T2D. IAH and HAAF increase the risk of severe hypoglycemia 6-fold and 25-fold, respectively. To reduce this risk for severe hypoglycemia, multiple different therapeutic approaches are being explored that could improve awareness of hypoglycemia. Current therapies to improve awareness of hypoglycemia include patient education and psychoeducation, the use of novel glycemic control technology, pancreas/islet transplantation, and drug therapy. This review examines both existing therapies and potential therapies that are in pre-clinical testing. Novel treatments that improve awareness of hypoglycemia, via improving the counterregulatory hormone responses or improving hypoglycemic symptom recognition, would also shed light on the possible neurological mechanisms that lead to the development of IAH. To reduce the risk of severe hypoglycemia in people with diabetes, elucidating the mechanism behind IAH, as well as developing targeted therapies is currently an unmet need for those that suffer from IAH.
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Affiliation(s)
- Erica L. Macon
- Division of Endocrinology, Diabetes and Metabolism, Department of Internal Medicine, College of Medicine, University of Kentucky, Lexington, KY, United States
| | - Micah H. Devore
- Division of Endocrinology, Diabetes and Metabolism, Department of Internal Medicine, College of Medicine, University of Kentucky, Lexington, KY, United States
| | - Yu Kuei Lin
- Division of Metabolism, Endocrinology and Diabetes, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, United States
| | - Megan B. Music
- Division of Endocrinology, Diabetes and Metabolism, Department of Internal Medicine, College of Medicine, University of Kentucky, Lexington, KY, United States
| | - Mason Wooten
- Division of Endocrinology, Diabetes and Metabolism, Department of Internal Medicine, College of Medicine, University of Kentucky, Lexington, KY, United States
| | - Colleen A. McMullen
- Division of Endocrinology, Diabetes and Metabolism, Department of Internal Medicine, College of Medicine, University of Kentucky, Lexington, KY, United States
| | - Andrea M. Woodcox
- Division of Endocrinology, Diabetes and Metabolism, Department of Internal Medicine, College of Medicine, University of Kentucky, Lexington, KY, United States
| | - Ashlee R. Marksbury
- Division of Endocrinology, Diabetes and Metabolism, Department of Internal Medicine, College of Medicine, University of Kentucky, Lexington, KY, United States
| | - Zachary Beckner
- Division of Endocrinology, Diabetes and Metabolism, Department of Internal Medicine, College of Medicine, University of Kentucky, Lexington, KY, United States
| | - Bansi V. Patel
- Division of Endocrinology, Diabetes and Metabolism, Department of Internal Medicine, College of Medicine, University of Kentucky, Lexington, KY, United States
| | - Lily A. Schoeder
- Division of Endocrinology, Diabetes and Metabolism, Department of Internal Medicine, College of Medicine, University of Kentucky, Lexington, KY, United States
| | - Ashley N. Iles
- Division of Endocrinology, Diabetes and Metabolism, Department of Internal Medicine, College of Medicine, University of Kentucky, Lexington, KY, United States
| | - Simon J. Fisher
- Division of Endocrinology, Diabetes and Metabolism, Department of Internal Medicine, College of Medicine, University of Kentucky, Lexington, KY, United States
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8
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Kladov DE, Berikov VB, Semenova JF, Klimontov VV. Nocturnal Glucose Patterns with and without Hypoglycemia in People with Type 1 Diabetes Managed with Multiple Daily Insulin Injections. J Pers Med 2023; 13:1454. [PMID: 37888065 PMCID: PMC10608186 DOI: 10.3390/jpm13101454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2023] [Revised: 09/19/2023] [Accepted: 09/26/2023] [Indexed: 10/28/2023] Open
Abstract
Nocturnal hypoglycemia (NH) is a potentially dangerous and underestimated complication of insulin therapy. In this study, we aimed to determine which patterns of nocturnal glucose profiles are associated with NH in patients with type 1 diabetes (T1D) managed with multiple daily insulin injections. A dataset of continuous glucose monitoring (CGM) recordings obtained from 395 adult subjects with T1D was used for modeling. The clustering of CGM data was performed using a hierarchical clustering algorithm. Ten clusters without hypoglycemia and six clusters with NH episode(s) were identified. The differences among the clusters included initial and final glucose levels, glucose change during the night, and the presence of uptrends or downtrends. Post-midnight hyperglycemia was revealed in 5 out of 10 clusters without NH; in patterns with downtrends, initially elevated glucose prevented NH episodes. In clusters with initially near-normal glucose levels and downtrends, most episodes of NH were observed from midnight to 4 a.m.; if glucose was initially elevated, the episodes occurred at 2-4 a.m. or 4-6 a.m., depending on the time of the start of the downtrend. The results demonstrate the diversity of nocturnal glucose profiles in patients with T1D, which highlights the need for a differentiated approach to therapy adjustment.
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Affiliation(s)
- Danil E. Kladov
- Laboratory of Endocrinology, Research Institute of Clinical and Experimental Lymphology—Branch of the Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (RICEL—Branch of IC&G SB RAS), 630060 Novosibirsk, Russia (J.F.S.)
- Department of Mathematics and Mechanics, Novosibirsk State University, 630090 Novosibirsk, Russia
| | - Vladimir B. Berikov
- Laboratory of Endocrinology, Research Institute of Clinical and Experimental Lymphology—Branch of the Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (RICEL—Branch of IC&G SB RAS), 630060 Novosibirsk, Russia (J.F.S.)
- Laboratory of Data Analysis, Sobolev Institute of Mathematics, Siberian Branch of Russian Academy of Sciences, 630090 Novosibirsk, Russia
| | - Julia F. Semenova
- Laboratory of Endocrinology, Research Institute of Clinical and Experimental Lymphology—Branch of the Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (RICEL—Branch of IC&G SB RAS), 630060 Novosibirsk, Russia (J.F.S.)
| | - Vadim V. Klimontov
- Laboratory of Endocrinology, Research Institute of Clinical and Experimental Lymphology—Branch of the Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (RICEL—Branch of IC&G SB RAS), 630060 Novosibirsk, Russia (J.F.S.)
- V. Zelman Institute of Medicine and Psychology, Novosibirsk State University, 630090 Novosibirsk, Russia
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Christou MA, Christou PA, Kyriakopoulos C, Christou GA, Tigas S. Effects of Hypoglycemia on Cardiovascular Function in Patients with Diabetes. Int J Mol Sci 2023; 24:9357. [PMID: 37298308 PMCID: PMC10253702 DOI: 10.3390/ijms24119357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 05/21/2023] [Accepted: 05/25/2023] [Indexed: 06/12/2023] Open
Abstract
Hypoglycemia is common in patients with type 1 and type 2 diabetes (T1D, T2D), treated with insulin or sulfonylureas, and has multiple short- and long-term clinical implications. Whether acute or recurrent, hypoglycemia significantly affects the cardiovascular system with the potential to cause cardiovascular dysfunction. Several pathophysiological mechanisms have been proposed linking hypoglycemia to increased cardiovascular risk, including hemodynamic changes, myocardial ischemia, abnormal cardiac repolarization, cardiac arrhythmias, prothrombotic and proinflammatory effects, and induction of oxidative stress. Hypoglycemia-induced changes can promote the development of endothelial dysfunction, which is an early marker of atherosclerosis. Although data from clinical trials and real-world studies suggest an association between hypoglycemia and cardiovascular events in patients with diabetes, it remains uncertain whether this association is causal. New therapeutic agents for patients with T2D do not cause hypoglycemia and have cardioprotective benefits, whereas increasing the use of new technologies, such as continuous glucose monitoring devices and insulin pumps, has the potential to reduce hypoglycemia and its adverse cardiovascular outcomes in patients with T1D.
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Affiliation(s)
- Maria A. Christou
- Department of Endocrinology, University of Ioannina Faculty of Medicine, 45500 Ioannina, Greece; (M.A.C.); (P.A.C.)
| | - Panagiota A. Christou
- Department of Endocrinology, University of Ioannina Faculty of Medicine, 45500 Ioannina, Greece; (M.A.C.); (P.A.C.)
| | - Christos Kyriakopoulos
- Department of Respiratory Medicine, University of Ioannina Faculty of Medicine, 45500 Ioannina, Greece;
| | - Georgios A. Christou
- Laboratory of Physiology, University of Ioannina Faculty of Medicine, 45500 Ioannina, Greece;
| | - Stelios Tigas
- Department of Endocrinology, University of Ioannina Faculty of Medicine, 45500 Ioannina, Greece; (M.A.C.); (P.A.C.)
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Andreasen CR, Andersen A, Hagelqvist PG, Maytham K, Lauritsen JV, Engberg S, Faber J, Pedersen-Bjergaard U, Knop FK, Vilsbøll T. Sustained heart rate-corrected QT prolongation during recovery from hypoglycaemia in people with type 1 diabetes, independently of recovery to hyperglycaemia or euglycaemia. Diabetes Obes Metab 2023; 25:1566-1575. [PMID: 36752677 DOI: 10.1111/dom.15005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Revised: 01/27/2023] [Accepted: 02/02/2023] [Indexed: 02/09/2023]
Abstract
AIM To investigate changes in cardiac repolarization abnormalities (heart rate-corrected QT [QTc ] [primary endpoint], T-wave abnormalities) and heart-rate variability measures in people with type 1 diabetes during insulin-induced hypoglycaemia followed by recovery hyperglycaemia versus euglycaemia. METHODS In a randomized crossover study, 24 individuals with type 1 diabetes underwent two experimental clamps with three steady-state phases during electrocardiographic monitoring: (1) a 45-minute euglycaemic phase (5-8 mmol/L), (2) a 60-minute insulin-induced hypoglycaemic phase (2.5 mmol/L), and (3) 60-minute recovery in either hyperglycaemia (20 mmol/L) or euglycaemia (5-8 mmol/L). RESULTS All measured markers of arrhythmic risk indicated increased risk during hypoglycaemia. These findings were accompanied by a decrease in vagal tone during both hyperglycaemia and euglycaemia clamps. Compared with baseline, the QTc interval increased during hypoglycaemia, and 63% of the participants exhibited a peak QTc of more than 500 ms. The prolonged QTc interval was sustained during both recovery phases with no difference between recovery hyperglycaemia versus euglycaemia. During recovery, no change from baseline was observed in heart-rate variability measures. CONCLUSIONS In people with type 1 diabetes, insulin-induced hypoglycaemia prolongs cardiac repolarization, which is sustained during a 60-minute recovery period independently of recovery to hyperglycaemia or euglycaemia. Thus, vulnerability to serious cardiac arrhythmias and sudden cardiac death may extend beyond a hypoglycaemic event, regardless of hyperglycaemic or euglycaemic recovery.
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Affiliation(s)
- Christine R Andreasen
- Clinical Research, Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark
- Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
| | - Andreas Andersen
- Clinical Research, Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark
- Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
| | - Per G Hagelqvist
- Clinical Research, Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark
- Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
| | - Kaisar Maytham
- Clinical Research, Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark
- Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
| | - Julius V Lauritsen
- Clinical Research, Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark
- Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
| | - Susanne Engberg
- Clinical Research, Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark
| | - Jens Faber
- Department of Medicine, Herlev Hospital, University of Copenhagen, Herlev, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ulrik Pedersen-Bjergaard
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Endocrinology and Nephrology, Nordsjaellands Hospital Hillerød, University of Copenhagen, Hillerød, Denmark
| | - Filip K Knop
- Clinical Research, Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark
- Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
- Department of Medicine, Herlev Hospital, University of Copenhagen, Herlev, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Tina Vilsbøll
- Clinical Research, Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark
- Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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11
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Søholm U, Broadley M, Zaremba N, Divilly P, Nefs G, Carlton J, Mader JK, Baumann PM, Gomes M, Martine-Edith G, Pollard DJ, Rath D, Heller S, Pedersen-Bjergaard U, McCrimmon RJ, Renard E, Evans M, de Galan B, Forkmann T, Amiel SA, Hendrieckx C, Speight J, Choudhary P, Pouwer F. Psychometric properties of an innovative smartphone application to investigate the daily impact of hypoglycemia in people with type 1 or type 2 diabetes: The Hypo-METRICS app. PLoS One 2023; 18:e0283148. [PMID: 36930585 PMCID: PMC10022775 DOI: 10.1371/journal.pone.0283148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 03/02/2023] [Indexed: 03/18/2023] Open
Abstract
INTRODUCTION The aim of this study was to determine the acceptability and psychometric properties of the Hypo-METRICS (Hypoglycemia MEasurement, ThResholds and ImpaCtS) application (app): a novel tool designed to assess the direct impact of symptomatic and asymptomatic hypoglycemia on daily functioning in people with insulin-treated diabetes. MATERIALS AND METHODS 100 adults with type 1 diabetes mellitus (T1DM, n = 64) or insulin-treated type 2 diabetes mellitus (T2DM, n = 36) completed three daily 'check-ins' (morning, afternoon and evening) via the Hypo-METRICs app across 10 weeks, to respond to 29 unique questions about their subjective daily functioning. Questions addressed sleep quality, energy level, mood, affect, cognitive functioning, fear of hypoglycemia and hyperglycemia, social functioning, and work/productivity. Completion rates, structural validity, internal consistency, and test-retest reliability were explored. App responses were correlated with validated person-reported outcome measures to investigate convergent (rs>±0.3) and divergent (rs<±0.3) validity. RESULTS Participants' mean±SD age was 54±16 years, diabetes duration was 23±13 years, and most recent HbA1c was 56.6±9.8 mmol/mol. Participants submitted mean±SD 191±16 out of 210 possible 'check-ins' (91%). Structural validity was confirmed with multi-level confirmatory factor analysis showing good model fit on the adjusted model (Comparative Fit Index >0.95, Root-Mean-Square Error of Approximation <0.06, Standardized Root-Mean-square Residual<0.08). Scales had satisfactory internal consistency (all ω≥0.5), and high test-retest reliability (rs≥0.7). Convergent and divergent validity were demonstrated for most scales. CONCLUSION High completion rates and satisfactory psychometric properties demonstrated that the Hypo-METRICS app is acceptable to adults with T1DM and T2DM, and a reliable and valid tool to explore the daily impact of hypoglycemia.
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Affiliation(s)
- Uffe Søholm
- Medical & Science, Patient Focused Drug Development, Novo Nordisk A/S, Søborg, Denmark
- Department of Psychology, University of Southern Denmark, Odense, Denmark
- Faculty of Life Sciences and Medicine, Department of Diabetes, School of Cardiovascular Medicine and Sciences, King’s College London, London, United Kingdom
- * E-mail:
| | - Melanie Broadley
- Department of Psychology, University of Southern Denmark, Odense, Denmark
| | - Natalie Zaremba
- Faculty of Life Sciences and Medicine, Department of Diabetes, School of Cardiovascular Medicine and Sciences, King’s College London, London, United Kingdom
| | - Patrick Divilly
- Faculty of Life Sciences and Medicine, Department of Diabetes, School of Cardiovascular Medicine and Sciences, King’s College London, London, United Kingdom
| | - Giesje Nefs
- Department of Medical Psychology, Radboud Institute for Health Sciences, Radboud University Medical Centre, Nijmegen, the Netherlands
- Department of Medical and Clinical Psychology, Tilburg University, Tilburg, the Netherlands
- National Treatment and Research Center for Children, Adolescents and Adults with Type 1 Diabetes, Rotterdam, The Netherlands
| | - Jill Carlton
- School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, United Kingdom
| | - Julia K. Mader
- Department of Internal Medicine, Division of Endocrinology and Diabetology, Medical University of Graz, Graz, Austria
| | | | - Mikel Gomes
- Digital Therapeutics, Scientific Modelling, Novo Nordisk A/S, Søborg, Denmark
| | - Gilberte Martine-Edith
- Faculty of Life Sciences and Medicine, Department of Diabetes, School of Cardiovascular Medicine and Sciences, King’s College London, London, United Kingdom
| | - Daniel J. Pollard
- School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, United Kingdom
| | - Dajana Rath
- Department of Clinical Psychology, University of Duisburg-Essen, Essen, Germany
| | - Simon Heller
- Department of Oncology and Metabolism, University of Sheffield, Sheffield, United Kingdom
| | - Ulrik Pedersen-Bjergaard
- Department of Endocrinology and Nephrology, Nordsjællands Hospital Hillerød, Hillerød, Denmark
- Institute of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Rory J. McCrimmon
- Systems Medicine, School of Medicine, University of Dundee, Dundee, United Kingdom
| | - Eric Renard
- Department of Endocrinology, Diabetes, Nutrition, Montpellier University Hospital, Montpellier, France
- Institute of Functional Genomics, University of Montpellier, CNRS, INSERM, Montpellier, France
| | - Mark Evans
- Welcome Trust-MRC Institute of Metabolic Science and Department of Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Bastiaan de Galan
- Department of Internal Medicine, Radboud University Medical Centre, Nijmegen, the Netherlands
- Department of Internal Medicine, Division of Endocrinology and Metabolic Disease, Maastricht University Medical Centre, Maastricht, the Netherlands
- CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, the Netherlands
| | - Thomas Forkmann
- Department of Clinical Psychology, University of Duisburg-Essen, Essen, Germany
| | - Stephanie A. Amiel
- Faculty of Life Sciences and Medicine, Department of Diabetes, School of Cardiovascular Medicine and Sciences, King’s College London, London, United Kingdom
| | - Christel Hendrieckx
- School of Psychology, Deakin University, Geelong, Australia
- The Australian Centre for Behavioural Research in Diabetes, Diabetes Victoria, Melbourne, Australia
| | - Jane Speight
- Department of Psychology, University of Southern Denmark, Odense, Denmark
- School of Psychology, Deakin University, Geelong, Australia
- The Australian Centre for Behavioural Research in Diabetes, Diabetes Victoria, Melbourne, Australia
| | - Pratik Choudhary
- Faculty of Life Sciences and Medicine, Department of Diabetes, School of Cardiovascular Medicine and Sciences, King’s College London, London, United Kingdom
- Diabetes Research Centre, University of Leicester, Leicester, United Kingdom
| | - Frans Pouwer
- Department of Psychology, University of Southern Denmark, Odense, Denmark
- School of Psychology, Deakin University, Geelong, Australia
- Steno Diabetes Center Odense (SDCO), Odense, Denmark
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12
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Søholm U, Broadley M, Zaremba N, Divilly P, Nefs G, Mahmoudi Z, de Galan B, Pedersen-Bjergaard U, Brennan A, Pollard DJ, McCrimmon RJ, A Amiel S, Hendrieckx C, Speight J, Choudhary P, Pouwer F. Investigating the day-to-day impact of hypoglycaemia in adults with type 1 or type 2 diabetes: design and validation protocol of the Hypo-METRICS application. BMJ Open 2022; 12:e051651. [PMID: 35105572 PMCID: PMC8808414 DOI: 10.1136/bmjopen-2021-051651] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
INTRODUCTION Hypoglycaemia is a frequent adverse event and major barrier for achieving optimal blood glucose levels in people with type 1 or type 2 diabetes using insulin. The Hypo-RESOLVE (Hypoglycaemia-Redefining SOLutions for better liVEs) consortium aims to further our understanding of the day-to-day impact of hypoglycaemia. The Hypo-METRICS (Hypoglycaemia-MEasurement, ThResholds and ImpaCtS) application (app) is a novel app for smartphones. This app is developed as part of the Hypo-RESOLVE project, using ecological momentary assessment methods that will minimise recall bias and allow for robust investigation of the day-to-day impact of hypoglycaemia. In this paper, the development and planned psychometric analyses of the app are described. METHODS AND ANALYSIS The three phases of development of the Hypo-METRICS app are: (1) establish a working group-comprising diabetologists, psychologists and people with diabetes-to define the problem and identify relevant areas of daily functioning; (2) develop app items, with user-testing, and implement into the app platform; and (3) plan a large-scale, multicountry study including interviews with users and psychometric validation. The app includes 7 modules (29 unique items) assessing: self-report of hypoglycaemic episodes (during the day and night, respectively), sleep quality, well-being/cognitive function, social interactions, fear of hypoglycaemia/hyperglycaemia and work/productivity. The app is designed for use within three fixed time intervals per day (morning, afternoon and evening). The first version was released mid-2020 for use (in conjunction with continuous glucose monitoring and activity tracking) in the Hypo-METRICS study; an international observational longitudinal study. As part of this study, semistructured user-experience interviews and psychometric analyses will be conducted. ETHICS AND DISSEMINATION Use of the novel Hypo-METRICS app in a multicountry clinical study has received ethical approval in each of the five countries involved (Oxford B Research Ethics Committee, CMO Region Arnhem-Nijmegen, Ethikkommission der Medizinischen Universität Graz, Videnskabsetisk Komite for Region Hovedstaden and the Comite Die Protection Des Personnes SUD Mediterranne IV). The results from the study will be published in peer review journals and presented at national and international conferences. TRIAL REGISTRATION NUMBER NCT04304963.
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Affiliation(s)
- Uffe Søholm
- Department of Diabetes, King's College London, School of Life Course Sciences, London, UK
- Department of Psychology, University of Southern Denmark, Odense, Denmark
| | - Melanie Broadley
- Department of Psychology, University of Southern Denmark, Odense, Denmark
| | - Natalie Zaremba
- Department of Diabetes, King's College London, School of Life Course Sciences, London, UK
| | - Patrick Divilly
- Department of Diabetes, King's College London, School of Life Course Sciences, London, UK
| | - Giesje Nefs
- Department of Medical Psychology, Radboud University Medical Centre, Radboud Institute for Health Sciences, Nijmegen, The Netherlands
- Department of Medical and Clinical Psychology, Tilburg University, Tilburg, Noord-Brabant, The Netherlands
- Diabeter, National treatment and research center for children, adolescents and adults with type 1 diabetes, Rotterdam, Netherlands
| | - Zeinab Mahmoudi
- Department of Diabetes, King's College London, School of Life Course Sciences, London, UK
- Digital Therapeutics, Novo Nordisk A/S, Søborg, Denmark
| | - Bastiaan de Galan
- Department of Internal Medicine, Radboud University Medical Centre, Nijmegen, The Netherlands
- Department of Internal Medicine, Maastricht University Medical Centre, Division of Endocrinology and Metabolic Disease, Maastricht, Limburg, The Netherlands
- CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands
| | - Ulrik Pedersen-Bjergaard
- Department of Endocrinology & Nephrology, Endocrine Section, Nordsjællands Hospital, Hillerød, Hillerød, Denmark
- Faculty of Health Sciences, Copenhagen University, Copenhagen, Denmark
| | - Alan Brennan
- School of Health & Related Research (ScHARR), University of Sheffield, Sheffield, UK
| | - Daniel John Pollard
- School of Health & Related Research (ScHARR), University of Sheffield, Sheffield, UK
| | - Rory J McCrimmon
- Systems Medicine, School of Medicine, University of Dundee, Dundee, UK
| | - Stephanie A Amiel
- Department of Diabetes, King's College London, School of Life Course Sciences, London, UK
| | - Christel Hendrieckx
- The Australian Centre for Behavioural Research in Diabetes, Diabetes Australia Victoria, Melbourne, Victoria, Australia
- School of Psychology, Deakin University, Geelong, Victoria, Australia
| | - Jane Speight
- Department of Psychology, University of Southern Denmark, Odense, Denmark
- The Australian Centre for Behavioural Research in Diabetes, Diabetes Australia Victoria, Melbourne, Victoria, Australia
- School of Psychology, Deakin University, Geelong, Victoria, Australia
| | - Pratik Choudhary
- Department of Diabetes, King's College London, School of Life Course Sciences, London, UK
- Diabetes Research Centre, University of Leicester, UK LE5 4PW, Leicester, UK
| | - Frans Pouwer
- Department of Psychology, University of Southern Denmark, Odense, Denmark
- School of Psychology, Deakin University, Geelong, Victoria, Australia
- Steno Diabetes Center Odense (SDCO), Odense, Denmark
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13
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Hornborg Svensson C, Henriksen MM, Thorsteinsson B, Pedersen-Bjergaard U. Continuous Glucose Monitoring (CGM) Readings During Patient-Reported Symptomatic Hypoglycemia: Assessment of the Advanced Technologies and Treatments for Diabetes Consensus Definition of CGM-Recorded Hypoglycemia. Diabetes Technol Ther 2022; 24:130-135. [PMID: 34569821 DOI: 10.1089/dia.2021.0216] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Aim: Continuous glucose monitoring (CGM) is widely used in clinical practice and research to detect hypoglycemia. A consensus definition of CGM-recorded hypoglycemia is made by a group of international experts under the auspice of the Advanced Technologies and Treatments for Diabetes (ATTD). The purpose of this study is to compare the definition with patient-reported hypoglycemia. Methods: In a prospective, observational study of 186 patients with type 1 diabetes using blinded Medtronic iPro 2 CGM for 6 days, every patient-reported symptomatic hypoglycemic event and interstitial glucose (IG) values at the registration time were classified according to the ATTD definition of CGM-recorded hypoglycemia. For comparison between CGM and self-monitored blood glucose (SMBG) values, the International Hypoglycemia Study Group (IHSG) classification of hypoglycemia and chi-square test were used. Results: A total of 321 events of symptomatic hypoglycemia were reported by 68% of the patients, corresponding to 2.0 ± 2.3 events (mean ± standard deviation) per patient-week. A total of 206 (64%) events met the CGM consensus definition. In the remaining 115 (36%) not-confirmed events, 5 events had an IG <3.9 mmol/L, which lasted <15 min. The overall mean IG value was 3.6 ± 1.1 mmol/L (median 3.1, range 2.2-10.4). In symptomatic hypoglycemic events with both CGM and SMBG data, SMBG confirmed significantly more symptomatic hypoglycemic events than CGM (P < 0.001). Conclusion: CGM-recorded hypoglycemia according to the consensus definition is present at two thirds of all patient-reported events when recorded by the Medtronic iPro 2 system. The recommended minimum duration of a hypoglycemic event of 15 min is supported by the study. SMBG measurements detect significantly more symptomatic hypoglycemic events than Medtronic iPro 2 CGM.
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Affiliation(s)
| | - Marie Moth Henriksen
- Department of Endocrinology and Nephrology, Nordsjællands Hospital Hillerød, Hillerød, Denmark
| | - Birger Thorsteinsson
- Department of Endocrinology and Nephrology, Nordsjællands Hospital Hillerød, Hillerød, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ulrik Pedersen-Bjergaard
- Department of Endocrinology and Nephrology, Nordsjællands Hospital Hillerød, Hillerød, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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14
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Mahmoudi Z, Del Favero S, Jacob P, Choudhary P. Toward an Optimal Definition of Hypoglycemia with Continuous Glucose Monitoring. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2021; 209:106303. [PMID: 34380077 DOI: 10.1016/j.cmpb.2021.106303] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Accepted: 07/17/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND AND OBJECTIVE As continuous glucose monitoring (CGM) becomes common in research and clinical practice, there is a need to understand how CGM-based hypoglycemia relates to hypoglycemia episodes defined conventionally as patient reported hypoglycemia (PRH). Data show that CGM identify many episodes of low interstitial glucose (LIG) that are not experienced by patients, and so the aim of this study is to use different PRH simulations to optimize CGM parameters of threshold (h) and duration (d) to provide the best PRH detection performance. METHODS The algorithm uses particle Markov chain Monte Carlo optimization to identify the optimal h and d which maximize an objective function for detecting PRH. We tested our algorithm by creating three different cases of PRH simulations. RESULTS We added three types of simulated PRH events to 10 weeks of anonymized CGM data from 96 type 1 diabetes people to see if the algorithm can detect the optimal parameters set out in the simulations. In simulation 1, we changed the locations of PRHs with respect to LIG episodes in the CGM signal to simulate random optimal LIG parameters for every individual. In simulation 2, the PRHs are CGM glucose <3.9 mmol/L followed by at least 20 min of rise > 0.11 mmol/L/min. Simulation 3 is like simulation 2 but with glucose threshold of 3.0 mmol/L. The median [interquartile range] of deviation between the optimized (found by the algorithm) and the optimal (known) h and d are -0.07% [-0.4, 1.9] and -1.3% [-5.9, 6.8], respectively across the subjects for simulation 1. The mean [min max] of the optimized LIG parameters are h = 3.8 [3.7, 3.8] mmol/L and d = 12 [10, 14] min for simulation 2 and they are h = 3.0 [2.9, 3] mmol/L and d = 10 [8, 14] min for simulation 3 across a 10-fold cross validation. CONCLUSIONS This work demonstrates the feasibility of the algorithm to find the best-fit definition of CGM-based hypoglycemia for PRH detection. In a prospective clinical study collecting CGM and PRH, the current algorithm will be used to optimize the definition of hypoglycemia with respect to PRH with the ambition of using the resulted definition as a surrogate for PRH in clinical practice.
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Affiliation(s)
- Zeinab Mahmoudi
- Department of Diabetes, School of Life Course Sciences, King's College London, UK; DTx, Scientific Modelling, Novo Nordisk A/S, Denmark
| | - Simone Del Favero
- Department of Information Engineering, University of Padova, Padova, Italy
| | - Peter Jacob
- Department of Diabetes, School of Life Course Sciences, King's College London, UK
| | - Pratik Choudhary
- Department of Diabetes, School of Life Course Sciences, King's College London, UK; Department of Diabetes, University of Leicester, UK.
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15
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Wilmot EG, Lumb A, Hammond P, Murphy HR, Scott E, Gibb FW, Platts J, Choudhary P. Time in range: A best practice guide for UK diabetes healthcare professionals in the context of the COVID-19 global pandemic. Diabet Med 2021; 38:e14433. [PMID: 33073388 PMCID: PMC7645943 DOI: 10.1111/dme.14433] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Revised: 09/21/2020] [Accepted: 10/15/2020] [Indexed: 12/15/2022]
Abstract
The emergence of continuous glucose monitoring has driven improvements in glycaemic control and quality of life for people with diabetes. Recent changes in access to continuous glucose monitoring systems within UK health services have increased the number of people able to benefit from these technologies. The COVID-19 pandemic has created an opportunity for diabetes healthcare professionals to use continuous glucose monitoring technology to remotely deliver diabetes services to support people with diabetes. This opportunity can be maximized with improved application and interpretation of continuous glucose monitoring-generated data. Amongst the diverse measures of glycaemic control, time in range is considered to be of high value in routine clinical care because it is actionable and is visibly responsive to changes in diabetes management. Importantly, it is also been linked to the risk of developing complications associated with diabetes and can be understood by people with diabetes and healthcare professionals alike. The 2019 International Consensus on Time in Range has established a series of target glucose ranges and recommendations for time spent within these ranges that is consistent with optimal glycaemic control. The recommendations cover people with type 1 or type 2 diabetes, with separate targets indicated for elderly people or those at higher risk from hypoglycaemia, as well as for women with type 1 diabetes during pregnancy. The aim of this best practice guide was to clarify the intent and purpose of these international consensus recommendations and to provide practical insights into their implementation in UK diabetes care.
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Affiliation(s)
- E. G. Wilmot
- Diabetes DepartmentRoyal Derby HospitalUniversity Hospitals of Derby and Burton NHS Foundation TrustDerbyUK
- Faculty of Medicine and Health SciencesUniversity of NottinghamNottinghamUK
| | - A. Lumb
- Oxford Centre for Diabetes, Endocrinology and MetabolismUniversity of OxfordOxfordUK
- NIHR Oxford Biomedical Research CentreOxfordUK
| | - P. Hammond
- Diabetes Resource CentreHarrogate District Hospital, Harrogate and District NHS Foundation TrustHarrogateUK
| | - H. R. Murphy
- Norwich Medical SchoolUniversity of East AngliaNorwichUK
- Women's Health Academic CentreDivision of Women's and Children's HealthKing's College LondonLondonUK
| | - E. Scott
- Leeds Institute for Cardiovascular and Metabolic MedicineUniversity of LeedsLeedsUK
| | - F. W. Gibb
- Edinburgh Centre for Endocrinology & DiabetesRoyal Infirmary of EdinburghLittle France CrescentEdinburghUK
- Centre for Cardiovascular ScienceUniversity of EdinburghEdinburghUK
| | - J. Platts
- Diabetes CentreUniversity Hospital LlandoughCardiff and Vale University Health BoardPenarthUK
| | - P. Choudhary
- Department of DiabetesSchool of Life Course SciencesKing's College LondonLondonUK
- Leicester Diabetes CentreUniversity of LeicesterLeicesterUK
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16
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Farrell CM, McCrimmon RJ. Clinical approaches to treat impaired awareness of hypoglycaemia. Ther Adv Endocrinol Metab 2021; 12:20420188211000248. [PMID: 33796253 PMCID: PMC7968015 DOI: 10.1177/20420188211000248] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Accepted: 02/12/2021] [Indexed: 01/25/2023] Open
Abstract
Impaired awareness of hypoglycaemia (IAH) affects between 25% and 30% of all people with type 1 diabetes (T1D) and markedly increases risk of severe hypoglycaemia. This greatly feared complication of T1D impairs quality of life and has a recognised morbidity. People with T1D have an increased propensity to hypoglycaemia as a result of fundamental physiological defects in their ability to respond appropriately to a fall in blood glucose levels. With repeated exposure to low glucose, many then develop a condition referred to as IAH, where there is a reduced ability to perceive the onset of hypoglycaemia and take appropriate corrective action. The management of individuals with IAH relies initially on its identification in the clinic through a detailed exploration of the frequency of hypoglycaemia and an assessment of the individual's ability to recognise these episodes. In this review article, we will address the clinical strategies that may help in the management of the patient with IAH once identified, who may or may not also suffer from problematic hypoglycaemia. The initial focus is on how to identify such patients and then on the variety of approaches involving educational programmes and technological approaches that may be taken to minimise hypoglycaemia risk. No single approach can be advocated for all patients, and it is the role of the health care professional to identify the clinical strategy that best enables their patient to achieve this goal.
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Affiliation(s)
- Catriona M. Farrell
- Division of Systems Medicine, School of Medicine, University of Dundee, Dundee, UK
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17
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Taylor GS, Smith K, Capper TE, Scragg JH, Bashir A, Flatt A, Stevenson EJ, McDonald TJ, Oram RA, Shaw JA, West DJ. Postexercise Glycemic Control in Type 1 Diabetes Is Associated With Residual β-Cell Function. Diabetes Care 2020; 43:2362-2370. [PMID: 32747405 PMCID: PMC7510016 DOI: 10.2337/dc20-0300] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Accepted: 06/28/2020] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To investigate the impact of residual β-cell function on continuous glucose monitoring (CGM) outcomes following acute exercise in people with type 1 diabetes (T1D). RESEARCH DESIGN AND METHODS Thirty participants with T1D for ≥3 years were recruited. First, participants wore a blinded CGM unit for 7 days of free-living data capture. Second, a 3-h mixed-meal test assessed stimulated C-peptide and glucagon. Peak C-peptide was used to allocate participants into undetectable (Cpepund <3 pmol/L), low (Cpeplow 3-200 pmol/L), or high (Cpephigh >200 pmol/L) C-peptide groups. Finally, participants completed 45 min of incline treadmill walking at 60% VO2peak followed by a further 48-h CGM capture. RESULTS CGM parameters were comparable across groups during the free-living observation week. In the 12- and 24-h postexercise periods (12 h and 24 h), the Cpephigh group had a significantly greater amount of time spent with glucose 3.9-10 mmol/L (12 h, 73.5 ± 27.6%; 24 h, 76.3 ± 19.2%) compared with Cpeplow (12 h, 43.6 ± 26.1%, P = 0.027; 24 h, 52.3 ± 25.0%, P = 0.067) or Cpepund (12 h, 40.6 ± 17.0%, P = 0.010; 24 h, 51.3 ± 22.3%, P = 0.041). Time spent in hyperglycemia (12 h and 24 h glucose >10 and >13.9 mmol/L, P < 0.05) and glycemic variability (12 h and 24 h SD, P < 0.01) were significantly lower in the Cpephigh group compared with Cpepund and Cpeplow. Change in CGM outcomes from pre-exercise to 24-h postexercise was divergent: Cpepund and Cpeplow experienced worsening (glucose 3.9-10 mmol/L: -9.1% and -16.2%, respectively), with Cpephigh experiencing improvement (+12.1%) (P = 0.017). CONCLUSIONS Residual β-cell function may partially explain the interindividual variation in the acute glycemic benefits of exercise in individuals with T1D. Quantifying C-peptide could aid in providing personalized and targeted support for exercising patients.
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Affiliation(s)
- Guy S Taylor
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, U.K
| | - Kieran Smith
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, U.K
| | - Tess E Capper
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, U.K.,Centre for Public Health, Queen's University Belfast, Belfast, U.K
| | - Jadine H Scragg
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, U.K
| | - Ayat Bashir
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, U.K
| | - Anneliese Flatt
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, U.K
| | - Emma J Stevenson
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, U.K
| | - Timothy J McDonald
- National Institute for Health Research Exeter Clinical Research Facility, University of Exeter Medical School, Exeter, U.K.,Royal Devon and Exeter NHS Foundation Trust, Exeter, U.K
| | - Richard A Oram
- National Institute for Health Research Exeter Clinical Research Facility, University of Exeter Medical School, Exeter, U.K.,Royal Devon and Exeter NHS Foundation Trust, Exeter, U.K
| | - James A Shaw
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, U.K.
| | - Daniel J West
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, U.K.
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Holt RI. A New Year Smorgasbord. Diabet Med 2019; 36:7-8. [PMID: 30589138 DOI: 10.1111/dme.13880] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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