1
|
de Wit DF, Fuhri Snethlage CM, Rampanelli E, Maasen K, Walpot N, van Raalte DH, Nieuwdorp M, Soeters MR, Hanssen NMJ. Higher fibre and lower carbohydrate intake are associated with favourable CGM metrics in a cross-sectional cohort of 470 individuals with type 1 diabetes. Diabetologia 2024; 67:2199-2209. [PMID: 38967668 PMCID: PMC11446970 DOI: 10.1007/s00125-024-06213-5] [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: 01/29/2024] [Accepted: 04/26/2024] [Indexed: 07/06/2024]
Abstract
AIMS/HYPOTHESIS The aim of this work was to investigate the association between macronutrient intakes and continuous glucose monitoring (CGM) metrics in individuals with type 1 diabetes. METHODS In 470 individuals with type 1 diabetes of the GUTDM1 cohort (65% female, median age 40 [IQR 28-53] years, median diabetes duration 15 [IQR 6-29] years), we used logistic regression to establish associations between macronutrient intakes and the CGM metrics time in range (TIR, time spent between 3.9-10.0 mmol/l blood glucose, optimally set at ≥70%) and time below range (TBR, <3.9 mmol/l blood glucose, optimally set at <4%). ORs were expressed per 1 SD intake of nutrient and were adjusted for other macronutrient intakes, age, sex, socioeconomic status, BMI, duration of type 1 diabetes, pump use, insulin dose and alcohol intake. RESULTS The median (IQR) TIR was 67 (51-80)% and TBR was 2 (1-4)%; the mean ± SD energy intake was 6879±2001 kJ, fat intake 75±31 g, carbohydrate intake 162±63 g, fibre intake 20±9 g and protein intake 70±24 g. A higher fibre intake and a lower carbohydrate intake were associated with higher odds of having a TIR≥70% (OR [95% CI] 1.64 [1.22, 2.24] and 0.67 [0.51, 0.87], respectively), whereas solely a higher carbohydrate intake was associated with TBR<4% (OR 1.34 [95% CI 1.02, 1.78]). CONCLUSIONS/INTERPRETATION A higher fibre intake is independently associated with a higher TIR. A higher carbohydrate intake is associated with less time spent in hypoglycaemia, a lower TIR and a higher time above range. These findings warrant confirmatory (interventional) investigations and may impact current nutritional guidelines for type 1 diabetes.
Collapse
Affiliation(s)
- Douwe F de Wit
- Department of (Experimental) Vascular and Internal Medicine, Amsterdam UMC, Amsterdam, the Netherlands.
| | - Coco M Fuhri Snethlage
- Department of (Experimental) Vascular and Internal Medicine, Amsterdam UMC, Amsterdam, the Netherlands
| | - Elena Rampanelli
- Department of (Experimental) Vascular and Internal Medicine, Amsterdam UMC, Amsterdam, the Netherlands
| | - Kim Maasen
- Department of (Experimental) Vascular and Internal Medicine, Amsterdam UMC, Amsterdam, the Netherlands
| | - Noortje Walpot
- Department of (Experimental) Vascular and Internal Medicine, Amsterdam UMC, Amsterdam, the Netherlands
| | - Daniël H van Raalte
- Department of Endocrinology and Metabolism, Amsterdam UMC, Amsterdam, the Netherlands
- Diabeter Centrum Amsterdam, Amsterdam, the Netherlands
| | - Max Nieuwdorp
- Department of (Experimental) Vascular and Internal Medicine, Amsterdam UMC, Amsterdam, the Netherlands
- Diabeter Centrum Amsterdam, Amsterdam, the Netherlands
| | - Maarten R Soeters
- Department of Endocrinology and Metabolism, Amsterdam UMC, Amsterdam, the Netherlands
| | - Nordin M J Hanssen
- Department of (Experimental) Vascular and Internal Medicine, Amsterdam UMC, Amsterdam, the Netherlands
- Diabeter Centrum Amsterdam, Amsterdam, the Netherlands
| |
Collapse
|
2
|
Kurnikowski A, Werzowa J, Hödlmoser S, Krenn S, Paschen C, Mussnig S, Tura A, Harreiter J, Krebs M, Song PX, Eller K, Pascual J, Budde K, Hecking M, Schwaiger E. Continuous Insulin Therapy to Prevent Post-Transplant Diabetes Mellitus: A Randomized Controlled Trial. Kidney Med 2024; 6:100860. [PMID: 39157193 PMCID: PMC11326904 DOI: 10.1016/j.xkme.2024.100860] [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] [Indexed: 08/20/2024] Open
Abstract
Rationale & Objectives Hyperglycemia is frequently observed early after transplantation and associated with development of post-transplant diabetes mellitus (PTDM). Here, we assessed continuous subcutaneous insulin infusion (CSII) targeting afternoon hyperglycemia. Study Design Open-label randomized parallel 3-arm design. Settings & Participants In total, 85 kidney transplant recipients without previous diabetes diagnosis were randomized to postoperative CSII therapy, basal insulin, or control. Interventions Insulin was to be initiated at afternoon capillary blood glucose level of ≥140 mg/dL (7.8 mmol/L; CSII and basal insulin) or fasting plasma glucose level of ≥200 mg/dL (11.1 mmol/L; control). Outcomes Hemoglobin A1c (HbA1c) levels at 3 months post-transplant (primary endpoint). PTDM assessed using oral glucose tolerance test at 12 and 24 months. Results CSII therapy lasted until median day 18 and maximum day 88. The median HbA1c value at month 3 was 5.6% (38 mmol/mol) in the CSII group versus 5.7% (39 mmol/mol) in the control group (P = 0.70) and 5.4% (36 mmol/mol) in the basal insulin group (P = 0.02). At months 12 and 24, the odds for PTDM were similar compared with the control group (odds ratios [95% confidence intervals], 0.80 [0.18-3.49] and 0.71 [0.15-3.16], respectively) and the basal insulin group (0.96 [0.18-5.68] and 1.51 [0.24-12.84], respectively). Mild hypoglycemia events occurred in the CSII and the basal insulin groups. Limitations This study is limited by outdated insulin pump technology, frequent discontinuations of CSII, a complex protocol, and concerns regarding reliability of HbA1c measurements. Conclusions CSII therapy was not superior at reducing HbA1c levels at month 3 or PTDM prevalence at months 12 and 24 compared with the control or basal insulin group.
Collapse
Affiliation(s)
- Amelie Kurnikowski
- Division of Nephrology and Dialysis, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria
- Department of Epidemiology, Center for Public Health, Medical University of Vienna, Vienna, Austria
| | - Johannes Werzowa
- Ludwig Boltzmann Institute of Osteology, Hanusch Hospital of WGKK and AUVA Trauma Centre Meidling, Vienna, Austria
- First Medical Department, Hanusch Hospital, Vienna, Austria
| | - Sebastian Hödlmoser
- Division of Nephrology and Dialysis, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria
| | - Simon Krenn
- Center for Health & Bioresources, Medical Signal Analysis, Austrian Institute of Technology GmbH, Vienna, Austria
| | - Christopher Paschen
- Division of Nephrology and Dialysis, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria
| | - Sebastian Mussnig
- Division of Nephrology and Dialysis, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria
| | - Andrea Tura
- CNR Institute of Neuroscience, Padova, Italy
| | - Jürgen Harreiter
- Division of Endocrinology and Metabolism, Department of Medicine III, Medical University of Vienna, Vienna, Austria
- Department of Medicine, Landesklinikum Scheibbs, Scheibbs, Austria
| | - Michael Krebs
- Division of Endocrinology and Metabolism, Department of Medicine III, Medical University of Vienna, Vienna, Austria
| | - Peter X.K. Song
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan
| | - Kathrin Eller
- Clinical Division of Nephrology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Julio Pascual
- Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Barcelona, Spain
- Department of Nephrology, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - Klemens Budde
- Medizinische Klinik m. S. Nephrologie, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
| | - Manfred Hecking
- Division of Nephrology and Dialysis, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria
- Department of Epidemiology, Center for Public Health, Medical University of Vienna, Vienna, Austria
- Kuratorium for Dialysis and Kidney Transplantation (KfH) e.V., Germany
| | - Elisabeth Schwaiger
- Division of Nephrology and Dialysis, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria
- Department of Internal Medicine I: Cardiology and Nephrology, Hospital of the Brothers of St. John of God, Eisenstadt, Austria
| |
Collapse
|
3
|
Lever CS, Williman JA, Boucsein A, Watson A, Sampson RS, Sergel-Stringer OT, Keesing C, Chepulis L, Wheeler BJ, de Bock MI, Paul RG. Real time continuous glucose monitoring in high-risk people with insulin-requiring type 2 diabetes: A randomised controlled trial. Diabet Med 2024; 41:e15348. [PMID: 38758653 DOI: 10.1111/dme.15348] [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: 03/18/2024] [Revised: 04/29/2024] [Accepted: 04/30/2024] [Indexed: 05/19/2024]
Abstract
AIMS To investigate the impact of real-time continuous glucose monitoring (rtCGM) on glycaemia in a predominantly indigenous (Māori) population of adults with insulin-requiring type 2 diabetes (T2D) in New Zealand. METHODS Twelve-week, multicentre randomised controlled trial (RCT) of adults with T2D using ≥0.2 units/kg/day of insulin and elevated glycated haemoglobin (HbA1c) ≥64 mmol/mol (8.0%). Following a 2-week blinded CGM run-in phase, participants were randomised to rtCGM or control (self-monitoring blood glucose [SMBG]). The primary outcome was time in the target glucose range (3.9-10 mmol/L; TIR) during weeks 10-12, with data collected by blinded rtCGM in the control group. RESULTS Sixty-seven participants entered the RCT phase (54% Māori, 57% female), median age 53 (range 16-70 years), HbA1c 85 (IQR 74, 94) mmol/mol (9.9 [IQR 8.9, 10.8]%), body mass index (36.7 ± 7.7 kg/m2). Mean (±SD) TIR increased from 37 (24)% to 53 (24)% [Δ 13%; 95% CI 4.2 to 22; P = 0.007] in the rtCGM group but did not change in the SMBG group [45 (21)% to 45 (25)%, Δ 2.5%, 95% CI -6.1 to 11, P = 0.84]. Baseline-adjusted between-group difference in TIR was 10.4% [95% CI -0.9 to 21.7; P = 0.070]. Mean HbA1c (±SD) decreased in both groups from 85 (18) mmol/mol (10.0 [1.7]%) to 64 (16) mmol/mol (8.0 [1.4]%) in the rtCGM arm and from 81 (12) mmol/mol (9.6 [1.1]%) to 65 (13) mmol/mol (8.1 [1.2]%) in the SMBG arm (P < 0.001 for both). There were no severe hypoglycaemic or ketoacidosis events in either group. CONCLUSIONS Real-time CGM use in a supportive treat-to-target model of care likely improves glycaemia in a population with insulin-treated T2D and elevated HbA1c.
Collapse
Affiliation(s)
- Claire S Lever
- Te Huataki Waiora, School of Health, University of Waikato, Hamilton, New Zealand
- Waikato Regional Diabetes Service, Te Whatu Ora Health New Zealand Waikato, Hamilton, New Zealand
| | - Jonathan A Williman
- Biostatistics and Computation Biology Unit, University of Otago, Christchurch, New Zealand
| | - Alisa Boucsein
- Department of Women's and Children's Health, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
| | - Antony Watson
- Department of Paediatrics, University of Otago, Christchurch, New Zealand
| | - Rachael S Sampson
- Waikato Regional Diabetes Service, Te Whatu Ora Health New Zealand Waikato, Hamilton, New Zealand
| | - Oscar T Sergel-Stringer
- Department of Women's and Children's Health, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
| | - Celeste Keesing
- Waikato Regional Diabetes Service, Te Whatu Ora Health New Zealand Waikato, Hamilton, New Zealand
- Pinnacle Midlands Health Network, New Zealand
| | - Lynne Chepulis
- Te Huataki Waiora, School of Health, University of Waikato, Hamilton, New Zealand
| | - Benjamin J Wheeler
- Department of Women's and Children's Health, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
- Department of Paediatrics, Te Whatu Ora Southern, Dunedin, New Zealand
| | - Martin I de Bock
- Department of Paediatrics, University of Otago, Christchurch, New Zealand
- Department of Paediatrics, Te Whatu Ora Health New Zealand Waitaha Canterbury, Christchurch, New Zealand
| | - Ryan G Paul
- Te Huataki Waiora, School of Health, University of Waikato, Hamilton, New Zealand
- Waikato Regional Diabetes Service, Te Whatu Ora Health New Zealand Waikato, Hamilton, New Zealand
| |
Collapse
|
4
|
Kim JY, Jin SM, Sim KH, Kim BY, Cho JH, Moon JS, Lim S, Kang ES, Park CY, Kim SG, Kim JH. Continuous glucose monitoring with structured education in adults with type 2 diabetes managed by multiple daily insulin injections: a multicentre randomised controlled trial. Diabetologia 2024; 67:1223-1234. [PMID: 38639876 DOI: 10.1007/s00125-024-06152-1] [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: 11/26/2023] [Accepted: 02/19/2024] [Indexed: 04/20/2024]
Abstract
AIMS/HYPOTHESIS The aim of this study was to compare the effectiveness of stand-alone intermittently scanned continuous glucose monitoring (isCGM) with or without a structured education programme and blood glucose monitoring (BGM) in adults with type 2 diabetes on multiple daily insulin injections (MDI). METHODS In this 24 week randomised open-label multicentre trial, adults with type 2 diabetes on intensive insulin therapy with HbA1c levels of 58-108 mmol/mol (7.5-12.0%) were randomly assigned in a 1:1:1 ratio to isCGM with a structured education programme on adjusting insulin dose and timing according to graphical patterns in CGM (intervention group), isCGM with conventional education (control group 1) or BGM with conventional education (control group 2). Block randomisation was conducted by an independent statistician. Due to the nature of the intervention, blinding of participants and investigators was not possible. The primary outcome was change in HbA1c from baseline at 24 weeks, assessed using ANCOVA with the baseline value as a covariate. RESULTS A total of 159 individuals were randomised (n=53 for each group); 148 were included in the full analysis set, with 52 in the intervention group, 49 in control group 1 and 47 in control group 2. The mean (± SD) HbA1c level at baseline was 68.19±10.94 mmol/mol (8.39±1.00%). The least squares mean change (± SEM) from baseline HbA1c at 24 weeks was -10.96±1.35 mmol/mol (-1.00±0.12%) in the intervention group, -6.87±1.39 mmol/mol (-0.63±0.13%) in control group 1 (p=0.0367 vs intervention group) and -6.32±1.42 mmol/mol (-0.58±0.13%) in control group 2 (p=0.0193 vs intervention group). Adverse events occurred in 28.85% (15/52) of individuals in the intervention group, 26.42% (14/53) in control group 1 and 48.08% (25/52) in control group 2. CONCLUSIONS/INTERPRETATION Stand-alone isCGM offers a greater reduction in HbA1c in adults with type 2 diabetes on MDI when education on the interpretation of graphical patterns in CGM is provided. TRIAL REGISTRATION ClinicalTrials.gov NCT04926623. FUNDING This study was supported by Daewoong Pharmaceutical Co., Ltd.
Collapse
Affiliation(s)
- Ji Yoon Kim
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Sang-Man Jin
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Kang Hee Sim
- Diabetes Education Unit, Diabetes Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Bo-Yeon Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Soonchunhyang University Bucheon Hospital, Soonchunhyang University College of Medicine, Bucheon, Republic of Korea
| | - Jae Hyoung Cho
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Seoul St Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Jun Sung Moon
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Yeungnam University College of Medicine, Daegu, Republic of Korea
| | - Soo Lim
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea
| | - Eun Seok Kang
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Cheol-Young Park
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Sin Gon Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea
| | - Jae Hyeon Kim
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
| |
Collapse
|
5
|
Moon JS, Kang S, Choi JH, Lee KA, Moon JH, Chon S, Kim DJ, Kim HJ, Seo JA, Kim MK, Lim JH, Song YJ, Yang YS, Kim JH, Lee YB, Noh J, Hur KY, Park JS, Rhee SY, Kim HJ, Kim HM, Ko JH, Kim NH, Kim CH, Ahn J, Oh TJ, Kim SK, Kim J, Han E, Jin SM, Bae J, Jeon E, Kim JM, Kang SM, Park JH, Yun JS, Cha BS, Moon MK, Lee BW. 2023 Clinical Practice Guidelines for Diabetes Management in Korea: Full Version Recommendation of the Korean Diabetes Association. Diabetes Metab J 2024; 48:546-708. [PMID: 39091005 PMCID: PMC11307112 DOI: 10.4093/dmj.2024.0249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Accepted: 06/20/2024] [Indexed: 08/04/2024] Open
Affiliation(s)
- Jun Sung Moon
- Department of Internal Medicine, Yeungnam University College of Medicine, Daegu, Korea
| | - Shinae Kang
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Jong Han Choi
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Korea
| | - Kyung Ae Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Jeonbuk National University Hospital, Jeonbuk National University Medical School, Jeonju, Korea
| | - Joon Ho Moon
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Suk Chon
- Department of Endocrinology and Metabolism, College of Medicine, Kyung Hee University, Seoul, Korea
| | - Dae Jung Kim
- Department of Endocrinology and Metabolism, Ajou University Hospital, Ajou University School of Medicine, Suwon, Korea
| | - Hyun Jin Kim
- Department of Internal Medicine, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, Korea
| | - Ji A Seo
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Korea
| | - Mee Kyoung Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Yeouido St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Jeong Hyun Lim
- Department of Food Service and Nutrition Care, Seoul National University Hospital, Seoul, Korea
| | - Yoon Ju Song
- Department of Food Science and Nutrition, The Catholic University of Korea, Bucheon, Korea
| | - Ye Seul Yang
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Jae Hyeon Kim
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - You-Bin Lee
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Junghyun Noh
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Inje University Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Korea
| | - Kyu Yeon Hur
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jong Suk Park
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Sang Youl Rhee
- Department of Endocrinology and Metabolism, College of Medicine, Kyung Hee University, Seoul, Korea
| | - Hae Jin Kim
- Department of Endocrinology and Metabolism, Ajou University Hospital, Ajou University School of Medicine, Suwon, Korea
| | - Hyun Min Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Chung-Ang University College of Medicine, Seoul, Korea
| | - Jung Hae Ko
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Inje University Haeundae Paik Hospital, Inje University College of Medicine, Busan, Korea
| | - Nam Hoon Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea
| | - Chong Hwa Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Sejong General Hospital, Bucheon, Korea
| | - Jeeyun Ahn
- Department of Ophthalmology, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
| | - Tae Jung Oh
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Soo-Kyung Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Korea
| | - Jaehyun Kim
- Department of Pediatrics, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Eugene Han
- Department of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea
| | - Sang-Man Jin
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jaehyun Bae
- Department of Internal Medicine, Hallym University Kangnam Sacred Heart Hospital, College of Medicine, Hallym University, Seoul, Korea
| | - Eonju Jeon
- Department of Internal Medicine, Daegu Catholic University School of Medicine, Daegu, Korea
| | - Ji Min Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Chungnam National University College of Medicine, Daejeon, Korea
| | - Seon Mee Kang
- Department of Internal Medicine, Kangwon National University Hospital, Kangwon National University School of Medicine, Chuncheon, Korea
| | - Jung Hwan Park
- Division of Endocrinology & Metabolism, Department of Internal Medicine, Hanyang University College of Medicine, Seoul, Korea
| | - Jae-Seung Yun
- Division of Endocrinology and Metabolism, Department of Internal Medicine, St. Vincent’s Hospital, College of Medicine, The Catholic University of Korea, Suwon, Korea
| | - Bong-Soo Cha
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - Min Kyong Moon
- Department of Internal Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
| | - Byung-Wan Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
| |
Collapse
|
6
|
ElSayed NA, Aleppo G, Bannuru RR, Bruemmer D, Collins BS, Ekhlaspour L, Hilliard ME, Johnson EL, Khunti K, Lingvay I, Matfin G, McCoy RG, Perry ML, Pilla SJ, Polsky S, Prahalad P, Pratley RE, Segal AR, Seley JJ, Stanton RC, Gabbay RA. 7. Diabetes Technology: Standards of Care in Diabetes-2024. Diabetes Care 2024; 47:S126-S144. [PMID: 38078575 PMCID: PMC10725813 DOI: 10.2337/dc24-s007] [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.
Collapse
|
7
|
Pangrace M, Dolan S, Grace T, Greene E, Long E, McClelland S, Moore J, Morgan DE, Mullins H, Wescott S. AMCP Market Insights Health Plan Best Practice: Implementing continuous glucose monitoring to improve patient outcomes in diabetes. J Manag Care Spec Pharm 2024; 30:S1-S15. [PMID: 38190244 DOI: 10.18553/jmcp.2024.30.1-a.s1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2024]
Abstract
Diabetes is a complex chronic condition that affects the body's ability to produce or use insulin effectively, resulting in elevated blood glucose levels. It is associated with various complications and comorbidities, significantly impacting both individuals and the health care system. Effective management involves a combination of lifestyle adjustments, medication adherence, monitoring, education, and support. The expanding use of continuous glucose monitoring (CGM) has been transformative in diabetes care, providing valuable real-time data and insights for better management. To understand the opportunity for health plans to support improved patient outcomes with CGM, AMCP sponsored a multifaceted approach to identify best practices consisting of expert interviews, a national payer survey, an expert panel workshop with clinical experts and managed care stakeholders, and a national webcast to communicate the program findings. This article summarizes current evidence for CGM to support managed care and payer professionals in making collaborative, evidence-based decisions to optimize outcomes among patients with diabetes. In addition, this review also presents the findings of a national payer survey and describes expert-supported health plan best practices around coverage and access to CGM.
Collapse
Affiliation(s)
| | - Sheri Dolan
- Bureau of Professional and Ancillary Services, University of Illinois at Chicago
| | | | | | | | | | - Josh Moore
- MO HealthNet Division, Missouri Department of Social Services, Columbia
| | - Diane E Morgan
- Government Programs Pharmacy, UnitedHealthcare, Severn, MD
| | | | | |
Collapse
|
8
|
Battelino T, Brosius F, Ceriello A, Cosentino F, Green J, Kellerer M, Koob S, Kosiborod M, Lalic N, Marx N, Nedungadi TP, Rydén L, Rodbard HW, Ji L, Sheu WHH, Standl E, Parkin CG, Schnell O. Guideline Development for Medical Device Technology: Issues for Consideration. J Diabetes Sci Technol 2023; 17:1698-1710. [PMID: 35531901 PMCID: PMC10658688 DOI: 10.1177/19322968221093355] [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] [Indexed: 11/15/2022]
Abstract
Advances in the development of innovative medical devices and telehealth technologies create the potential to improve the quality and efficiency of diabetes care through collecting, aggregating, and interpreting relevant health data in ways that facilitate more informed decisions among all stakeholder groups. Although many medical societies publish guidelines for utilizing these technologies in clinical practice, we believe that the methodologies used for the selection and grading of the evidence should be revised. In this article, we discuss the strengths and limitations of the various types of research commonly used for evidence selection and grading and present recommendations for modifying the process to more effectively address the rapid pace of device and technology innovation and new product development.
Collapse
Affiliation(s)
- Tadej Battelino
- University Medical Center Ljubljana, University of Ljubljana, Ljubljana, Slovenia
| | - Frank Brosius
- University of Arizona College of Medicine–Tucson, AZ, USA
| | | | - Francesco Cosentino
- Cardiology Unit, Department of Medicine, Karolinska Institute, Karolinska University Hospital, Stockholm, Sweden
| | - Jennifer Green
- Duke University Medical Center, Duke Clinical Research Institute, Durham, NC, USA
| | | | | | - Mikhail Kosiborod
- Saint Luke’s Mid America Heart Institute, University of Missouri-Kansas City, Kansas City, MO, USA
- The George Institute for Global Health, University of New South Wales, Sydney, Australia
| | - Nebojsa Lalic
- Clinic for Endocrinology, Diabetes and Metabolic Diseases, University Clinical Center of Serbia, University of Belgrade, Belgrade, Serbia
| | - Nikolaus Marx
- Department of Internal Medicine I, University Hospital Aachen, RWTH Aachen University, Aachen, Germany
| | | | - Lars Rydén
- Department of Medicine K2, Karolinska Institute, Stockholm, Sweden
| | | | - Linong Ji
- Peking University People’s Hospital, Beijing, China
| | - Wayne Huey-Herng Sheu
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung City
| | | | | | | |
Collapse
|
9
|
Lee YB, Kim M, Kim JH. Glycemia according to the Use of Continuous Glucose Monitoring among Adults with Type 1 Diabetes Mellitus in Korea: A Real-World Study. Diabetes Metab J 2023; 47:405-414. [PMID: 36872066 PMCID: PMC10244200 DOI: 10.4093/dmj.2022.0032] [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: 01/30/2022] [Accepted: 05/19/2022] [Indexed: 03/07/2023] Open
Abstract
BACKGROUND We explored the association between continuous glucose monitoring (CGM) use and glycemia among adults with type 1 diabetes mellitus (T1DM) and determined the status of CGM metrics among adults with T1DM using CGM in the real-world. METHODS For this propensity-matched cross-sectional study, individuals with T1DM who visited the outpatient clinic of the Endocrinology Department of Samsung Medical Center between March 2018 and February 2020 were screened. Among them, 111 CGM users (for ≥9 months) were matched based on propensity score considering age, sex, and diabetes duration in a 1:2 ratio with 203 CGM never-users. The association between CGM use and glycemic measures was explored. In a subpopulation of CGM users who had been using official applications (not "do-it-yourself" software) such that Ambulatory Glucose Profile data for ≥1 month were available (n=87), standardized CGM metrics were summarized. RESULTS Linear regression analyses identified CGM use as a determining factor for log-transformed glycosylated hemoglobin. The fully-adjusted odds ratio (OR) and 95% confidence interval (CI) for uncontrolled glycosylated hemoglobin (>8%) were 0.365 (95% CI, 0.190 to 0.703) in CGM users compared to never-users. The fully-adjusted OR for controlled glycosylated hemoglobin (<7%) was 1.861 (95% CI, 1.119 to 3.096) in CGM users compared to never-users. Among individuals who had been using official applications for CGM, time in range (TIR) values within recent 30- and 90-day periods were 62.45%±16.63% and 63.08%±15.32%, respectively. CONCLUSION CGM use was associated with glycemic control status among Korean adults with T1DM in the real-world, although CGM metrics including TIR might require further improvement among CGM users.
Collapse
Affiliation(s)
- You-Bin Lee
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul,
Korea
| | - Minjee Kim
- Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul,
Korea
| | - Jae Hyeon Kim
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul,
Korea
| |
Collapse
|
10
|
Cypryk K, Wender-Ozegowska E, Cyganek K, Sieradzki J, Skoczylas K, Chen X, Cordero TL, Shin J, Cohen O. Insulin pump therapy with and without continuous glucose monitoring in pregnant women with type 1 diabetes: a prospective observational Orchestra Foundation study in Poland. Acta Diabetol 2023; 60:553-561. [PMID: 36653533 PMCID: PMC10033617 DOI: 10.1007/s00592-022-02020-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 12/14/2022] [Indexed: 01/20/2023]
Abstract
AIMS The effects of continuous subcutaneous insulin infusion (CSII) therapy with or without continuous glucose monitoring (CGM) on neonatal outcomes and glycemic outcomes of pregnant women with type 1 diabetes (T1D), living in Poland, were assessed. METHODS This prospective observational study enrolled women with T1D (N = 481, aged 18-45 years) who were pregnant or planned pregnancy. All used CSII therapy and a subset used CGM with CSII (CSII + CGM). Neonatal outcomes (e.g., rate of large for gestational age [LGA] delivery [birth weight > 90th percentile]) and maternal glycemia (e.g., HbA1c and percentage of time at sensor glucose ranges) were evaluated. RESULTS Overall HbA1c at trimesters 1, 2, and 3 was 6.8 ± 1.1% (50.9 ± 12.3 mmol/mol, N = 354), 5.8 ± 0.7% (40.1 ± 8.0 mmol/mol, N = 318), and 5.9 ± 0.7% (41.4 ± 8.0 mmol/mol, N = 255), respectively. A HbA1c target of < 6.0% (42 mmol/mol) at each trimester was achieved by 20.9% (74/354), 65.1% (207/318), and 58.0% (148/255), respectively. For women using CSII + CGM versus CSII only, HbA1c levels at trimesters 1, 2, and 3 were 6.5 ± 0.9% versus 7.1 ± 1.3% (47.8 ± 9.7 mmol/mol versus 54.3 ± 14.0 mmol/mol, p < 0.0001), 5.7 ± 0.6% versus 6.0 ± 0.9% (38.9 ± 6.5 mmol/mol versus 41.6 ± 9.3 mmol/mol, p = 0.0122), and 5.8 ± 0.6% versus 6.1 ± 0.8% (40.3 ± 6.9 mmol/mol versus 42.9 ± 9.1 mmol/mol, p = 0.0117), respectively. For the overall, CSII only, and CSII + CGM groups, rates of LGA delivery were 22.7% (74/326), 24.6% (34/138), and 21.3% (40/188), respectively. CONCLUSIONS Observational assessment of women with T1D using CSII therapy demonstrated low HbA1c throughout pregnancy and low rates of LGA. The addition of CGM to CSII therapy compared to CSII therapy alone was associated with some improved maternal glycemic and neonatal outcomes. GOV IDENTIFIER NCT01779141 (January 2013).
Collapse
Affiliation(s)
- Katarzyna Cypryk
- Department of Internal Diseases and Diabetology, Medical University of Lodz, Pomorska Str. 251, 92-213, Lodz, Poland.
| | - Ewa Wender-Ozegowska
- Department of Reproduction, Poznan University of Medical Sciences, Poznań, Poland
| | - Katarzyna Cyganek
- Department of Metabolic Diseases, The University Hospital in Krakow, Krakow, Poland
- Collegium Medicum, Jagiellonian University of Krakow, Krakow, Poland
| | - Jacek Sieradzki
- Collegium Medicum, Jagiellonian University of Krakow, Krakow, Poland
| | | | | | | | | | | |
Collapse
|
11
|
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. 7. Diabetes Technology: Standards of Care in Diabetes-2023. Diabetes Care 2023; 46:S111-S127. [PMID: 36507635 PMCID: PMC9810474 DOI: 10.2337/dc23-s007] [Citation(s) in RCA: 132] [Impact Index Per Article: 132.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
Collapse
|
12
|
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. 6. Glycemic Targets: Standards of Care in Diabetes-2023. Diabetes Care 2023; 46:S97-S110. [PMID: 36507646 PMCID: PMC9810469 DOI: 10.2337/dc23-s006] [Citation(s) in RCA: 255] [Impact Index Per Article: 255.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
Collapse
|
13
|
Pauley ME, Tommerdahl KL, Snell-Bergeon JK, Forlenza GP. Continuous Glucose Monitor, Insulin Pump, and Automated Insulin Delivery Therapies for Type 1 Diabetes: An Update on Potential for Cardiovascular Benefits. Curr Cardiol Rep 2022; 24:2043-2056. [PMID: 36279036 PMCID: PMC9589770 DOI: 10.1007/s11886-022-01799-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/10/2022] [Indexed: 01/11/2023]
Abstract
PURPOSE OF REVIEW The incidence of type 1 diabetes (T1D) is rising in all age groups. T1D is associated with chronic microvascular and macrovascular complications but improving glycemic trends can delay the onset and slow the progression of these complications. Utilization of technological devices for diabetes management, such as continuous glucose monitors (CGM) and insulin pumps, is increasing, and these devices are associated with improvements in glycemic trends. Thus, device use may be associated with long-term prevention of T1D complications, yet few studies have investigated the direct impacts of devices on chronic complications in T1D. This review will describe common diabetes devices and combination systems, as well as review relationships between device use and cardiovascular outcomes in T1D. RECENT FINDINGS Findings from existing cohort and national registry studies suggest that pump use may aid in improving cardiovascular risk factors such as hypertension and dyslipidemia. Furthermore, pump users have been shown to have lower arterial stiffness and better measures of myocardial function. In registry and case-control longitudinal data, pump use has been associated with fewer cardiovascular events and reduction of cardiovascular disease (CVD) and all-cause mortality. CVD is the leading cause of morbidity and mortality in T1D. Consistent use of diabetes devices may protect against the development and progression of macrovascular complications such as CVD through improvement in glycemic trends. Existing literature is limited, but findings suggest that pump use may reduce acute cardiovascular risk factors as well as chronic cardiovascular complications and overall mortality in T1D.
Collapse
Affiliation(s)
- Meghan E Pauley
- Department of Pediatrics, Section of Pediatric Endocrinology, Children's Hospital Colorado and University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO, USA.
| | - Kalie L Tommerdahl
- Department of Pediatrics, Section of Pediatric Endocrinology, Children's Hospital Colorado and University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO, USA
- Ludeman Family Center for Women's Health Research, University of Colorado School of Medicine, Aurora, CO, USA
| | - Janet K Snell-Bergeon
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO, USA
| | - Gregory P Forlenza
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO, USA
| |
Collapse
|
14
|
Elbalshy M, Haszard J, Smith H, Kuroko S, Galland B, Oliver N, Shah V, de Bock MI, Wheeler BJ. Effect of divergent continuous glucose monitoring technologies on glycaemic control in type 1 diabetes mellitus: A systematic review and meta-analysis of randomised controlled trials. Diabet Med 2022; 39:e14854. [PMID: 35441743 PMCID: PMC9542260 DOI: 10.1111/dme.14854] [Citation(s) in RCA: 36] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 03/16/2022] [Accepted: 04/12/2022] [Indexed: 12/17/2022]
Abstract
AIMS We aimed to conduct a systematic review and meta-analysis of randomised controlled clinical trials (RCTs) assessing separately and together the effect of the three distinct categories of continuous glucose monitoring (CGM) systems (adjunctive, non-adjunctive and intermittently-scanned CGM [isCGM]), compared with traditional capillary glucose monitoring, on HbA1c and CGM metrics. METHODS PubMed, Web of Science, Scopus and Cochrane Central register of clinical trials were searched. Inclusion criteria were as follows: randomised controlled trials; participants with type 1 diabetes of any age and insulin regimen; investigating CGM and isCGM compared with traditional capillary glucose monitoring; and reporting glycaemic outcomes of HbA1c and/or time-in-range (TIR). Glycaemic outcomes were extracted post-intervention and expressed as mean differences and 95%CIs between treatment and comparator groups. Results were pooled using a random-effects meta-analysis. Risk of bias was assessed using the Cochrane Rob2 tool. RESULTS This systematic review was conducted between January and April 2021; it included 22 RCTs (15 adjunctive, 5 non-adjunctive, and 2 isCGM)). The overall analysis of the pooled three categories showed a statistically significant absolute improvement in HbA1c percentage points (mean difference (95% CI): -0.22% [-0.31 to -0.14], I2 = 79%) for intervention compared with comparator and was strongest for adjunctive CGM (-0.26% [-0.36, -0.16]). Overall TIR (absolute change) increased by 5.4% (3.5 to 7.2), I2 = 71% for CGM intervention compared with comparator and was strongest with non-adjunctive CGM (6.0% [2.3, 9.7]). CONCLUSIONS For individuals with T1D, use of CGM was beneficial for impacting glycaemic outcomes including HbA1c, TIR and time-below-range (TBR). Glycaemic improvement appeared greater for TIR for newer non-adjunctive CGM technology.
Collapse
Affiliation(s)
- Mona Elbalshy
- Department of Women’s and Children’s HealthDunedin School of MedicineUniversity of OtagoDunedinNew Zealand
| | - Jillian Haszard
- Division of SciencesUniversity of Otago, New ZealandDunedinNew Zealand
| | - Hazel Smith
- Department of Women’s and Children’s HealthDunedin School of MedicineUniversity of OtagoDunedinNew Zealand
| | - Sarahmarie Kuroko
- Department of Women’s and Children’s HealthDunedin School of MedicineUniversity of OtagoDunedinNew Zealand
| | - Barbara Galland
- Department of Women’s and Children’s HealthDunedin School of MedicineUniversity of OtagoDunedinNew Zealand
| | - Nick Oliver
- Department of Metabolism, Digestion and ReproductionFaculty of MedicineImperial CollegeLondonUK
| | - Viral Shah
- Barbara Davis Center for DiabetesUniversity of Colorado Anschutz Medical CampusAuroraColoradoUSA
| | | | - Benjamin J. Wheeler
- Department of Women’s and Children’s HealthDunedin School of MedicineUniversity of OtagoDunedinNew Zealand
- Paediatric EndocrinologySouthern District Health BoardDunedinNew Zealand
| |
Collapse
|
15
|
Abstract
The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee (https://doi.org/10.2337/dc22-SPPC), are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction (https://doi.org/10.2337/dc22-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
Collapse
|
16
|
Abstract
The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee (https://doi.org/10.2337/dc22-SPPC), are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction (https://doi.org/10.2337/dc22-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
Collapse
|
17
|
De Ridder F, Charleer S, Jacobs S, Bolsens N, Ledeganck KJ, Van Aken S, Vanbesien J, Gies I, Casteels K, Massa G, Lysy PA, Logghe K, Lebrethon MC, Depoorter S, Gillard P, De Block C, den Brinker M. Effect of nationwide reimbursement of real-time continuous glucose monitoring on HbA1c, hypoglycemia and quality of life in a pediatric type 1 diabetes population: The RESCUE-pediatrics study. Front Pediatr 2022; 10:991633. [PMID: 36275049 PMCID: PMC9582657 DOI: 10.3389/fped.2022.991633] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 08/26/2022] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE Real-time continuous glucose monitoring (RT-CGM) can improve metabolic control and quality of life (QoL), but long-term real-world data in children with type 1 diabetes (T1D) are scarce. Over a period of 24 months, we assessed the impact of RT-CGM reimbursement on glycemic control and QoL in children/adolescents with T1D treated with insulin pumps. RESEARCH DESIGN AND METHODS We conducted a multicenter prospective observational study. Primary endpoint was the change in HbA1c. Secondary endpoints included change in time in hypoglycemia, QoL, hospitalizations for hypoglycemia and/or ketoacidosis and absenteeism (school for children, work for parents). RESULTS Between December 2014 and February 2019, 75 children/adolescents were followed for 12 (n = 62) and 24 months (n = 50). Baseline HbA1c was 7.2 ± 0.7% (55 ± 8mmol/mol) compared to 7.1 ± 0.8% (54 ± 9mmol/mol) at 24 months (p = 1.0). Participants with a baseline HbA1c ≥ 7.5% (n = 27, mean 8.0 ± 0.3%; 64 ± 3mmol/mol) showed an improvement at 4 months (7.6 ± 0.7%; 60 ± 8mmol/mol; p = 0.009) and at 8 months (7.5 ± 0.6%; 58 ± 7mmol/mol; p = 0.006), but not anymore thereafter (endpoint 24 months: 7.7 ± 0.9%; 61 ± 10mmol/mol; p = 0.2). Time in hypoglycemia did not change over time. QoL for parents and children remained stable. Need for assistance by ambulance due to hypoglycemia reduced from 8 to zero times per 100 patient-years (p = 0.02) and work absenteeism for parents decreased from 411 to 214 days per 100 patient-years (p = 0.03), after 24 months. CONCLUSION RT-CGM in pump-treated children/adolescents with T1D showed a temporary improvement in HbA1c in participants with a baseline HbA1c ≥ 7.5%, without increasing time in hypoglycemia. QoL was not affected. Importantly, RT-CGM reduced the need for assistance by ambulance due to hypoglycemia and reduced work absenteeism for parents after 24 months. CLINICAL TRIAL REGISTRATION [ClinicalTrials.gov], identifier [NCT02601729].
Collapse
Affiliation(s)
- Francesca De Ridder
- Laboratory of Experimental Medicine and Pediatrics (LEMP) and Member of the Infla-Med Center of Excellence, Faculty of Medicine and Health Science, University of Antwerp, Antwerp, Belgium.,Department of Endocrinology-Diabetology-Metabolism, Antwerp University Hospital (UZA), Antwerp, Belgium.,Fund for Scientific Research (FWO), Brussels, Belgium
| | - Sara Charleer
- Department of Endocrinology, University Hospitals Leuven, Catholic University of Leuven (KU Leuven), Leuven, Belgium
| | - Seppe Jacobs
- Department of Endocrinology-Diabetology-Metabolism, Antwerp University Hospital (UZA), Antwerp, Belgium
| | - Nancy Bolsens
- Department of Endocrinology-Diabetology-Metabolism, Antwerp University Hospital (UZA), Antwerp, Belgium
| | - Kristien J Ledeganck
- Laboratory of Experimental Medicine and Pediatrics (LEMP) and Member of the Infla-Med Center of Excellence, Faculty of Medicine and Health Science, University of Antwerp, Antwerp, Belgium
| | - Sara Van Aken
- Department of Pediatrics, University Hospital Ghent, Ghent, Belgium
| | - Jesse Vanbesien
- Department of Pediatrics, University Hospital Brussels, Free University of Brussels (VUB), Brussels, Belgium
| | - Inge Gies
- Department of Pediatrics, University Hospital Brussels, Free University of Brussels (VUB), Brussels, Belgium
| | - Kristina Casteels
- Department of Pediatrics, University Hospitals Leuven, Leuven, Belgium.,Department of Development and Regeneration, KU Leuven, Leuven, Belgium
| | - Guy Massa
- Department of Pediatrics, Jessa Hospital, Hasselt, Belgium
| | - Philippe A Lysy
- Department of Pediatrics, University Hospital Saint-Luc, Brussels, Belgium
| | - Karl Logghe
- Department of Pediatrics, General Hospital Delta, Roeselare, Belgium
| | | | - Sylvia Depoorter
- Department of Pediatrics, General Hospital Sint-Jan Bruges, Bruges, Belgium
| | - Pieter Gillard
- Fund for Scientific Research (FWO), Brussels, Belgium.,Department of Endocrinology, University Hospitals Leuven, Catholic University of Leuven (KU Leuven), Leuven, Belgium
| | - Christophe De Block
- Laboratory of Experimental Medicine and Pediatrics (LEMP) and Member of the Infla-Med Center of Excellence, Faculty of Medicine and Health Science, University of Antwerp, Antwerp, Belgium.,Department of Endocrinology-Diabetology-Metabolism, Antwerp University Hospital (UZA), Antwerp, Belgium
| | - Marieke den Brinker
- Laboratory of Experimental Medicine and Pediatrics (LEMP) and Member of the Infla-Med Center of Excellence, Faculty of Medicine and Health Science, University of Antwerp, Antwerp, Belgium.,Department of Pediatrics, Antwerp University Hospital (UZA), Antwerp, Belgium
| |
Collapse
|
18
|
Tubili C, Pollakova D, Nardone MR, Di Folco U. Predictive Low Glucose Suspend Algorithm in Real Life: A Five-Year Follow-Up Retrospective Analysis. J Diabetes Sci Technol 2021; 15:1303-1307. [PMID: 32865016 PMCID: PMC8655276 DOI: 10.1177/1932296820952107] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
AIM Sensor-augmented pumps with predictive low glucose suspend function (PLGS-SAP) help patients avoid hypoglycemia and improve quality of life: in this retrospective study, we investigated long-term effects of PLGS-SAP on metabolic outcomes, acute and chronic diabetic complications, in particular cardiovascular events. MATERIALS AND METHODS One hundred thirty-nine adults with type 1 diabetes (T1D) treated for more than 10 years with continuous subcutaneous insulin infusion (CSII) were followed for 5 years; 71 (Group 1) started to use PLGS-SAP, and 68 (Group 2) maintained on their non-PLGM insulin pump. Glucose control measures (hemoglobin A1c [HbA1c], acute diabetic complications), clinical outcomes (body mass index [BMI], arterial hypertension, dyslipidemia), chronic diabetes-related complications, and device utilization (continuous glucose monitoring utilization, use of temporary basal rates or special boluses, carbohydrate counting usage) were assessed. RESULTS The reduction of HbA1c was significant in Group 1 (from 7.5% ± 1.1% to 7.0% ± 1.0%, P = .02), while in Group 2 it did not reach statistical significance (from 7.5% ± 1.1% to 7.4% ± 0.9%, P = .853). BMI increased significantly in Group 2 (from 25.3 ± 2.8 to 25.7 ± 3.4, P < .001), but not in Group 1 (from 25.2 ± 3.5 to 25.2 ± 2.8, P = .887). There were no statistically significant differences in occurrence of acute diabetes complications, other clinical outcomes, prevalence of diabetes-related complications, or device utilization between the groups. CONCLUSIONS In our five-year follow-up experience with T1D CSII users, PLGS-SAP has resulted efficient in improving metabolic control and maintaining the body weight.
Collapse
Affiliation(s)
- Claudio Tubili
- Diabetes Unit, “S. Camillo-Forlanini”
Hospital, Rome, Italy
| | | | | | - Ugo Di Folco
- Diabetes Unit, “S. Camillo-Forlanini”
Hospital, Rome, Italy
- Ugo Di Folco, CN, Diabetes Unit, “S.
Camillo-Forlanini” Hospital, gianicolense 87, Rome, 00152, Italy.
| |
Collapse
|
19
|
Logel SN, Connor EL, Hsu DA, Fenske RJ, Paloian NJ, De Vivo DC. Exploring diazoxide and continuous glucose monitoring as treatment for Glut1 deficiency syndrome. Ann Clin Transl Neurol 2021; 8:2205-2209. [PMID: 34612610 PMCID: PMC8607448 DOI: 10.1002/acn3.51462] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Revised: 09/09/2021] [Accepted: 09/10/2021] [Indexed: 12/16/2022] Open
Abstract
Glut1 deficiency syndrome is caused by SLC2A1 mutations on chromosome 1p34.2 that impairs glucose transport across the blood–brain barrier resulting in hypoglycorrhachia and decreased fuel for brain metabolism. Neuroglycopenia causes a drug‐resistant metabolic epilepsy due to energy deficiency. Standard treatment for Glut1 deficiency syndrome is the ketogenic diet that decreases the demand for brain glucose by supplying ketones as alternative fuel. Treatment options are limited if patients fail the ketogenic diet. We present a case of successful diazoxide use with continuous glucose monitoring in a patient with Glut1 deficiency syndrome who did not respond to the ketogenic diet.
Collapse
Affiliation(s)
- Santhi N Logel
- Division of Pediatric Endocrinology and Diabetes, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Ellen L Connor
- Division of Pediatric Endocrinology and Diabetes, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin, USA
| | - David A Hsu
- Department of Neurology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Rachel J Fenske
- Clinical Nutrition, University of Wisconsin Hospital and Clinics, Madison, Wisconsin, USA
| | - Neil J Paloian
- Division of Pediatric Nephrology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Darryl C De Vivo
- Departments of Neurology and Pediatrics, Columbia University Irving Medical Center, New York, New York, USA
| |
Collapse
|
20
|
De Gaetano A, Sakulrang S, Borri A, Pitocco D, Sungnul S, Moore EJ. Modeling continuous glucose monitoring with fractional differential equations subject to shocks. J Theor Biol 2021; 526:110776. [PMID: 34058226 DOI: 10.1016/j.jtbi.2021.110776] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 04/29/2021] [Accepted: 05/24/2021] [Indexed: 11/18/2022]
Abstract
Continuous Glucose Monitoring (CGM) produces long time-series of noisy observations of a single variable (tissue glucose concentration), whose evolution may be explained by a dynamical model. In order to represent the unknown mixture of possible control mechanisms of different orders affecting the measured variable, a fractional differential approach seems justified. In any case, variations in food intake and/or physical activity ought to be taken into account if a plausible interpretation of the dynamics is to be obtained. In the present work, the mathematical construction and the numerical implementation of a Fractional Differential Equations (FDE) initial value problem are systematically reviewed, with the intent of offering the reader a concise and mathematically rigorous description of this approach. An FDE model for CGM is formulated: the model includes compartments for stomach and intestinal glucose contents and for blood and tissue (subcutaneous) glucose concentrations, as well as the shock effects of food ingestion and of increased glucose consumption due to physical activity. The model parameters, including the (non-integer) order of differentiation, are estimated from CGM observations on six Type 1 diabetic patients. The best-fit fractional orders for the six subjects range from 1.59 to 2.13. For comparison, best fits have also been computed for all subjects using an average fractional order of 1.9 and integer orders of 1 and 2.The results indicate that in the case of CGM the fractional differential model, which should be physiologically more appropriate, in fact fits the data much better than the first-order model and also better than the 2nd-order model.
Collapse
Affiliation(s)
- Andrea De Gaetano
- CNR-IRIB, Institute for Biomedical Research and Innovation, National Research Council of Italy, Palermo, Italy; CNR-IASI Biomathematics Laboratory, National Research Council of Italy, Rome, Italy
| | - Sasikarn Sakulrang
- Department of Mathematics, King Mongkut's University of Technology North Bangkok, Thailand; Centre of Excellence in Mathematics, Bangkok, Thailand
| | - Alessandro Borri
- CNR-IASI Biomathematics Laboratory, National Research Council of Italy, Rome, Italy.
| | - Dario Pitocco
- Diabetes Care Unit, Catholic University Faculty of Medicine, Rome, Italy
| | - Surattana Sungnul
- Department of Mathematics, King Mongkut's University of Technology North Bangkok, Thailand; Centre of Excellence in Mathematics, Bangkok, Thailand
| | - Elvin J Moore
- Department of Mathematics, King Mongkut's University of Technology North Bangkok, Thailand; Centre of Excellence in Mathematics, Bangkok, Thailand
| |
Collapse
|
21
|
Dicembrini I, Cosentino C, Monami M, Mannucci E, Pala L. Effects of real-time continuous glucose monitoring in type 1 diabetes: a meta-analysis of randomized controlled trials. Acta Diabetol 2021; 58:401-410. [PMID: 32789691 DOI: 10.1007/s00592-020-01589-3] [Citation(s) in RCA: 47] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Accepted: 07/30/2020] [Indexed: 02/07/2023]
Abstract
AIMS Self-monitoring of blood glucose (SMBG) represented a major breakthrough in the treatment of type 1 diabetes. The aim of the present meta-analysis is to assess the effect of continues glucose monitoring (CGM) and flash glucose monitoring (FGM), on glycemic control in type 1 diabetes. MATERIALS AND METHODS The present analysis includes randomized clinical trials comparing CGM or FGM with SMBG, with a duration of at least 12 weeks, identified in Medline or clinicaltrials.gov. The principal endpoint was HbA1c at the end of the trial. A secondary endpoint was severe hypoglycemia. Mean and 95% confidence intervals for HbA1c and Mantel-Haenzel odds ratio [MH-OR] for severe hypoglycemia were calculated, using random effect models. A sensitivity analysis was performed using fixed effect models. In addition, the following secondary endpoints were explored, using the same methods: time in range, health-related quality of life, and treatment satisfaction. Separate analyses were performed for trials comparing CGM with SMBG, and those comparing CGM + CSII and SMBG + MDI and CGM-regulated insulin infusion system (CRIS) and CSII + SMBG. RESULTS CGM was associated with a significantly lower HbA1c at endpoint in comparison with SMBG (- 0.24 [- 0.34, - 0.13]%); CGM was associated with a significantly lower risk of severe hypoglycemia than SMBG. Treatment satisfaction and quality of life were not measured, or not reported, in the majority of studies. FGM showed a significant reduction in the incidence of mild hypoglycemia and an increased treatment satisfaction, but no significant results are shown in HbA1c. CGM + CSII in comparison with SMBG + MDI was associated with a significant reduction in HbA1c. Only two trials with a duration of at least 12 weeks compared a CRIS with SMBG + CSII; HbA1c between the two treatment arms was not statistically significant (difference in means: - 0.23 [- 0.91; 0.46]%; p = 0.52). CONCLUSION GCM compared to SMBG has showed a reduction in HbA1c and severe hypoglycemia in patient with type 1 diabetes. The comparison between CGM + CSII and SMBG + MDI showed a large reduction in HbA1c; it is conceivable that the effects of CSII + CGM on glycemic control additives. The only comparison available between FGM and SMBG was conducted in patients in good control.
Collapse
Affiliation(s)
- I Dicembrini
- Diabetology, Careggi Hospital, Florence, Italy
- University of Florence, Florence, Italy
| | - C Cosentino
- Diabetology, Careggi Hospital, Florence, Italy
| | - M Monami
- Diabetology, Careggi Hospital, Florence, Italy
| | - E Mannucci
- Diabetology, Careggi Hospital, Florence, Italy
- University of Florence, Florence, Italy
| | - L Pala
- Diabetology, Careggi Hospital, Florence, Italy.
| |
Collapse
|
22
|
Strollo F, Furia A, Verde P, Bellia A, Grussu M, Mambro A, Petrelli MD, Gentile S. Technological innovation of Continuous Glucose Monitoring (CGM) as a tool for commercial aviation pilots with insulin-treated diabetes and stakeholders/regulators: A new chance to improve the directives? Diabetes Res Clin Pract 2021; 172:108638. [PMID: 33358969 DOI: 10.1016/j.diabres.2020.108638] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2020] [Revised: 12/12/2020] [Accepted: 12/16/2020] [Indexed: 11/30/2022]
Abstract
Civil aviation pilots who develop insulin-treated diabetes and want to renew a Commercial Pilot License (CPL) represent a medical, social and regulatory problem. This depends on justified concerns about hypoglycemia, the most threatening event for people who carry out jobs requiring a high level of concentration and reliability. This negatively affects social and working aspects of pilots' lives, who have a high profile and a high-cost professional qualification. It could be possible now to revise this attitude thanks to the availability of Continuous Glucose Monitoring (CGM) devices. CGM clearly showed to prevent hypoglycemic events in insulin-treated diabetic patients by allowing strict monitoring and trend prediction of glucose levels. By systematizing available data on such devices and present regulations in CPL issuance worldwide, our review can be used as handy tool for a fruitful discussion among the scientific community, national and international civil aviation regulators, stakeholders and pilots, aimed at evaluating the evidence-based opportunity to revise CPL issuance criteria for insulin-treated diabetic pilots. For the above-mentioned reasons, there are, among the regulatory administrations of Civil Aviation around the globe, several different approaches and limitations set for the subjects with insulin-treated diabetes who want to obtain, or renew, a CPL.
Collapse
Affiliation(s)
- F Strollo
- AMD (Associazione Medici Diabetologi), ESAM (European Society of Aerospace Medicine) and IRCCS San Raffaele Pisana, Rome, Italy.
| | - A Furia
- ENAC (Italian National Civil Aviation Authority), Aeromedical Section, Rome, Italy
| | - P Verde
- AIMAS (Italian Association of AeroSpace Medicine) and IAF (Italian Air Force), Experimental Flight Center, Aerospace Medicine Department, Pratica di Mare, Rome, Italy
| | - A Bellia
- SID (Società Italiana di Diabetologia), Department of Systems Medicine, Rome University, "Tor Vergata", Italy
| | - M Grussu
- ANIAD (Italian National Association of Athletes with Diabetes), Oristano, Italy
| | - A Mambro
- AIMAS (Italian Association of AeroSpace Medicine), Anesthesiology and Resuscitation Unit, Alesini CTO Hospital, Rome, Italy
| | - M D Petrelli
- SID (Società Italiana di Diabetologia), Clinic of Endocrinology and Metabolic Diseases, Polytechnic University of Marche, Ancona, Italy
| | - S Gentile
- Associazione Medici Diabetologi), Campania University "Luigi Vanvitelli", Naples, Italy, and Nefrocenter Research & Nyx Start-UP, Naples, Italy
| |
Collapse
|
23
|
Abstract
The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee (https://doi.org/10.2337/dc21-SPPC), are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction (https://doi.org/10.2337/dc21-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
Collapse
|
24
|
Abstract
The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee (https://doi.org/10.2337/dc21-SPPC), are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction (https://doi.org/10.2337/dc21-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
Collapse
|
25
|
Faulds ER, Hoffman RP, Grey M, Tan A, Tubbs-Cooley H, Militello LK, Happ MB. Self-management among pre-teen and adolescent diabetes device users. Pediatr Diabetes 2020; 21:1525-1536. [PMID: 32985060 DOI: 10.1111/pedi.13131] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 09/08/2020] [Accepted: 09/23/2020] [Indexed: 12/13/2022] Open
Abstract
OBJECTIVE Despite increased diabetes device use, few adolescents with type 1 diabetes (T1D) meet glycemic targets. We examine associations between utilization of insulin pumps and continuous glucose monitoring (CGM) and glycemic control. RESEARCH DESIGN AND METHODS This prospective cohort study included 80 youths (10-18 years of age) with T1D. Multiple linear regression and linear mixed models (LMM) were used to estimate the effects of device self-management on HbA1c and daily time in range (70-180 mg/dL), respectively. RESULTS Every blood glucose (BG) input/day was associated with a 0.2% decrease in HbA1c (95% CI: -0.297, -0.013), each bolus/day was associated with a 0.2% decrease (-0.327, -0.057), and use of CGM was associated with a 0.5% decrease (-1.00, -0.075). Among CGM users (n = 45) every 10% increase in CGM use was associated with a 0.3% decrease in HbA1c (-0.390, -0.180). In LMM accounting for within subject and between subject variability, there was a negative association between BG input/day frequency (coefficient = -1.880, [-2.640, -1.117]) and time in range. Residual random effects for CGM users were large showing time in range varied between youth with a SD of 15.0% (3 hours and 36 minutes) (SE 2.029, [11.484, 19.530]). Time in range varied significantly from day-to-day with SD of 18.6% (4 hours and 40 minutes) (SE0.455, [17.690, 19.473]). CONCLUSIONS Device self-management behaviors among youth are significantly associated with both HbA1c and time in range. Our findings showing an association between reduced time in range and increased self-management behaviors is novel and deserves further investigation.
Collapse
Affiliation(s)
- Eileen R Faulds
- The Ohio State University College of Nursing, The Ohio State University Medical Center, Columbus, Ohio, USA
| | - Robert P Hoffman
- Division of Pediatric Endocrinology Nationwide Children's Hospital, The Ohio State University College of Medicine, Columbus, Ohio, USA
| | - Margaret Grey
- Yale University School of Nursing, New Haven, Connecticut, USA
| | - Alai Tan
- The Ohio State University College of Nursing, Columbus, Ohio, USA
| | | | - Lisa K Militello
- The Ohio State University College of Nursing, Columbus, Ohio, USA
| | - Mary Beth Happ
- The Ohio State University College of Nursing, Columbus, Ohio, USA
| |
Collapse
|
26
|
Maiorino MI, Signoriello S, Maio A, Chiodini P, Bellastella G, Scappaticcio L, Longo M, Giugliano D, Esposito K. Effects of Continuous Glucose Monitoring on Metrics of Glycemic Control in Diabetes: A Systematic Review With Meta-analysis of Randomized Controlled Trials. Diabetes Care 2020; 43:1146-1156. [PMID: 32312858 DOI: 10.2337/dc19-1459] [Citation(s) in RCA: 155] [Impact Index Per Article: 38.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2019] [Accepted: 01/18/2020] [Indexed: 02/03/2023]
Abstract
BACKGROUND Continuous glucose monitoring (CGM) provides important information to aid in achieving glycemic targets in people with diabetes. PURPOSE We performed a meta-analysis of randomized controlled trials (RCTs) comparing CGM with usual care for parameters of glycemic control in both type 1 and type 2 diabetes. DATA SOURCES Many electronic databases were searched for articles published from inception until 30 June 2019. STUDY SELECTION We selected RCTs that assessed both changes in HbA1c and time in target range (TIR), together with time below range (TBR), time above range (TAR), and glucose variability expressed as coefficient of variation (CV). DATA EXTRACTION Data were extracted from each trial by two investigators. DATA SYNTHESIS All results were analyzed by a random effects model to calculate the weighted mean difference (WMD) with the 95% CI. We identified 15 RCTs, lasting 12-36 weeks and involving 2,461 patients. Compared with the usual care (overall data), CGM was associated with modest reduction in HbA1c (WMD -0.17%, 95% CI -0.29 to -0.06, I 2 = 96.2%), increase in TIR (WMD 70.74 min, 95% CI 46.73-94.76, I 2 = 66.3%), and lower TAR, TBR, and CV, with heterogeneity between studies. The increase in TIR was significant and robust independently of diabetes type, method of insulin delivery, and reason for CGM use. In preplanned subgroup analyses, real-time CGM led to the higher improvement in mean HbA1c (WMD -0.23%, 95% CI -0.36 to -0.10, P < 0.001), TIR (WMD 83.49 min, 95% CI 52.68-114.30, P < 0.001), and TAR, whereas both intermittently scanned CGM and sensor-augmented pump were associated with the greater decline in TBR. LIMITATIONS Heterogeneity was high for most of the study outcomes; all studies were sponsored by industry, had short duration, and used an open-label design. CONCLUSIONS CGM improves glycemic control by expanding TIR and decreasing TBR, TAR, and glucose variability in both type 1 and type 2 diabetes.
Collapse
Affiliation(s)
- Maria Ida Maiorino
- Unit of Endocrinology and Metabolic Diseases, University of Campania "Luigi Vanvitelli," Naples, Italy .,Department of Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli," Naples, Italy
| | - Simona Signoriello
- Medical Statistics Unit, University of Campania "Luigi Vanvitelli," Naples, Italy
| | - Antonietta Maio
- Department of Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli," Naples, Italy
| | - Paolo Chiodini
- Medical Statistics Unit, University of Campania "Luigi Vanvitelli," Naples, Italy
| | - Giuseppe Bellastella
- Unit of Endocrinology and Metabolic Diseases, University of Campania "Luigi Vanvitelli," Naples, Italy.,Department of Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli," Naples, Italy
| | - Lorenzo Scappaticcio
- Unit of Endocrinology and Metabolic Diseases, University of Campania "Luigi Vanvitelli," Naples, Italy.,Department of Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli," Naples, Italy
| | - Miriam Longo
- Department of Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli," Naples, Italy
| | - Dario Giugliano
- Unit of Endocrinology and Metabolic Diseases, University of Campania "Luigi Vanvitelli," Naples, Italy.,Department of Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli," Naples, Italy
| | - Katherine Esposito
- Department of Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli," Naples, Italy.,Unit of Diabetes, University of Campania "Luigi Vanvitelli," Naples, Italy
| |
Collapse
|
27
|
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/dc20-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/dc20-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
Collapse
|
28
|
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/dc20-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/dc20-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
Collapse
|
29
|
Beck RW, Bergenstal RM, Laffel LM, Pickup JC. Advances in technology for management of type 1 diabetes. Lancet 2019; 394:1265-1273. [PMID: 31533908 DOI: 10.1016/s0140-6736(19)31142-0] [Citation(s) in RCA: 132] [Impact Index Per Article: 26.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Revised: 04/26/2019] [Accepted: 05/01/2019] [Indexed: 01/07/2023]
Abstract
Technological advances have had a major effect on the management of type 1 diabetes. In addition to blood glucose meters, devices used by people with type 1 diabetes include insulin pumps, continuous glucose monitors, and, most recently, systems that combine both a pump and a monitor for algorithm-driven automation of insulin delivery. In the next 5 years, as many advances are expected in technology for the management of diabetes as there have been in the past 5 years, with improvements in continuous glucose monitoring and more available choices of systems that automate insulin delivery. Expansion of the use of technology will be needed beyond endocrinology practices to primary-care settings and broader populations of patients. Tools to support decision making will also need to be developed to help patients and health-care providers to use the output of these devices to optimise diabetes management.
Collapse
Affiliation(s)
- Roy W Beck
- Jaeb Center for Health Research, Tampa, FL, USA.
| | - Richard M Bergenstal
- International Diabetes Center, Park Nicollet and Health Partners, Minneapolis, MN, USA
| | - Lori M Laffel
- Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA
| | - John C Pickup
- King's College London, Faculty of Life Sciences and Medicine, Guy's Hospital, London, UK
| |
Collapse
|
30
|
Sandy JL, Nyunt O, Woodhead HJ, Youde LS, Ramjan KA, Jack MM, Lim L, Shepherd M, Marshall A, Townsend N, Wilson S, Duke SA, Slavich E, Hameed S. Sydney Diabetes centre's experience of the Australian Government's roll out of subsidised continuous glucose monitoring for children with type 1 diabetes mellitus. J Paediatr Child Health 2019; 55:1056-1062. [PMID: 30565355 DOI: 10.1111/jpc.14340] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2018] [Revised: 11/17/2018] [Accepted: 11/26/2018] [Indexed: 11/28/2022]
Abstract
AIM To determine patient/carer expectations of continuous glucose monitoring (CGM) and short-term satisfaction, to assess the efficacy of CGM in improving: fear of hypoglycaemia and glycaemic control (HbA1c , ketosis, hypoglycaemia) and to determine time requirements of diabetes clinic staff in commencing and administering CGM. METHODS We assessed CGM-naïve patients starting on CGM at a Sydney Diabetes Centre following the introduction of a nationwide government subsidy for CGM. A standardised questionnaire was administered collecting demographic and glycaemic information in addition to Likert scale assessment of expectations and satisfaction. Clinic staff reported time dedicated to CGM education, commencement and follow-up. RESULTS A total of 55 patients or parents/carers completed baseline questionnaires, with 37 completing a 3-month follow-up questionnaire. There were high expectations of CGM prior to commencement and high satisfaction ratings on follow-up. CGM improved fear of hypoglycaemia, and total daily insulin dose increased after commencement of CGM. There was a trend towards lower HbA1c that was not statistically significant and no statistically significant reduction in ketosis or hypoglycaemia. Comments were mostly positive, with some concern raised regarding technical issues and a lack of subsidy after 21 years of age. Staff time requirements were substantial, with an estimated average of 7.7 h per patient per year. CONCLUSIONS Patients and families have high expectations of CGM, and satisfaction levels are high in the short term. Total insulin delivery increased after CGM commencement. Time requirements by staff are substantial but are worthwhile if families' overall satisfaction levels are high.
Collapse
Affiliation(s)
- Jessica L Sandy
- Department of Paediatric Diabetes and Endocrinology, Clinical Services Building, Royal North Shore Hospital, Sydney, New South Wales, Australia.,Faculty of Medicine, School of Women's and Children's Health, University of New South Wales, Sydney, New South Wales, Australia
| | - Ohn Nyunt
- Department of Paediatric Diabetes and Endocrinology, Clinical Services Building, Royal North Shore Hospital, Sydney, New South Wales, Australia.,Faculty of Medicine, School of Women's and Children's Health, University of New South Wales, Sydney, New South Wales, Australia.,Northern Clinical School, University of Sydney, Sydney, New South Wales, Australia
| | - Helen J Woodhead
- Department of Paediatric Diabetes and Endocrinology, Clinical Services Building, Royal North Shore Hospital, Sydney, New South Wales, Australia.,Faculty of Medicine, School of Women's and Children's Health, University of New South Wales, Sydney, New South Wales, Australia
| | - Lesley S Youde
- Department of Paediatric Diabetes and Endocrinology, Clinical Services Building, Royal North Shore Hospital, Sydney, New South Wales, Australia
| | - Kim A Ramjan
- Department of Paediatric Diabetes and Endocrinology, Clinical Services Building, Royal North Shore Hospital, Sydney, New South Wales, Australia.,Discipline of Child and Adolescent Health, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia.,School of Medicine, Western Sydney University, Sydney, New South Wales, Australia
| | - Michelle M Jack
- Department of Paediatric Diabetes and Endocrinology, Clinical Services Building, Royal North Shore Hospital, Sydney, New South Wales, Australia.,Northern Clinical School, University of Sydney, Sydney, New South Wales, Australia
| | - Lena Lim
- Department of Paediatric Diabetes and Endocrinology, Clinical Services Building, Royal North Shore Hospital, Sydney, New South Wales, Australia
| | - Margaret Shepherd
- Department of Paediatric Diabetes and Endocrinology, Clinical Services Building, Royal North Shore Hospital, Sydney, New South Wales, Australia
| | - Ailsa Marshall
- Department of Paediatric Diabetes and Endocrinology, Clinical Services Building, Royal North Shore Hospital, Sydney, New South Wales, Australia
| | - Nicky Townsend
- Department of Paediatric Diabetes and Endocrinology, Clinical Services Building, Royal North Shore Hospital, Sydney, New South Wales, Australia
| | - Suzi Wilson
- Department of Paediatric Diabetes and Endocrinology, Clinical Services Building, Royal North Shore Hospital, Sydney, New South Wales, Australia
| | - Sally-Anne Duke
- Northern Clinical School, University of Sydney, Sydney, New South Wales, Australia.,Department of Diabetes and Endocrinology, Royal North Shore Hospital, Sydney, New South Wales, Australia
| | - Eve Slavich
- Stats Central, Mark Wainwright Analytical Centre, University of New South Wales, Sydney, New South Wales, Australia
| | - Shihab Hameed
- Department of Paediatric Diabetes and Endocrinology, Clinical Services Building, Royal North Shore Hospital, Sydney, New South Wales, Australia.,Faculty of Medicine, School of Women's and Children's Health, University of New South Wales, Sydney, New South Wales, Australia.,Northern Clinical School, University of Sydney, Sydney, New South Wales, Australia
| |
Collapse
|
31
|
Viñals C, Quirós C, Giménez M, Conget I. Real-Life Management and Effectiveness of Insulin Pump with or Without Continuous Glucose Monitoring in Adults with Type 1 Diabetes. Diabetes Ther 2019; 10:929-936. [PMID: 30900146 PMCID: PMC6531534 DOI: 10.1007/s13300-019-0599-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2018] [Indexed: 11/03/2022] Open
Abstract
INTRODUCTION To describe and compare the routine use of continuous subcutaneous insulin infusion (CSII) in type 1 diabetes (T1D) patients with and without continuous glucose monitoring (CGM) in routine clinical practice and its relationship with glycemic outcomes. METHODS Retrospective observational case-control study collecting routine use of CSII and CGM in T1D patients between January 2016 and December 2016. Patients with T1D using sensor augmented pump (SAP) were matched by sex and disease duration in a 1:3 ratio with those treated only with CSII. Patients used a Paradigm Veo or 640G Medtronic-Minimed® insulin pump with or without a glucose sensor (Enlite, Medtronic-Minimed®) for at least 12 months. RESULTS A total of 160 subjects with T1D were included, 40 using SAP and 120 on CSII (age 47 ± 12 years, 88 women, diabetes duration 29 ± 9.0 years, 10 ± 4.7 years on CSII, HbA1C 7.6 ± 0.8%). Those in SAP therapy used the sensor 63% of time, performed less self-monitored blood glucose (SMBG)/day (3.3 ± 1.9 vs. 4.5 ± 2.0; p < 0.01), more bolus/day (6.2 ± 3.6 vs. 4.8 ± 1.6; p < 0.05), more basal insulin segment/day (6.5 ± 2.1 vs. 5.9 ± 1.5; p < 0.05), and more suspension time of the pump (97 ± 93 vs. 9.6 ± 20 min/day; p < 0.0001). Regarding metabolic control, SAP therapy patients had lower HbA1c (7.4 ± 0.7 vs. 7.7 ± 0.9%; p = 0.068), lower average SMBG value (151 ± 32 vs. 163 ± 30 mg/dL; p < 0.05), a lower percentage of SMBG values greater than 180 mg/dL (30 ± 19 vs. 37 ± 16%; p < 0.05) with no differences in SMBG values less than 70 mg/dL (12 ± 8.0 vs. 9.8 ± 9.8%; p = 0.33) compared with patients on CSII. There were no differences in bolus wizard targets or in insulin/carbohydrate ratios per day. CONCLUSION In a real-world setting, SAP therapy is associated with more self-adjustments of insulin therapy when compared to CSII alone. This could result in an improvement in glucose control.
Collapse
Affiliation(s)
- Clara Viñals
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain
| | - Carmen Quirós
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain
- Endocrinology and Nutrition Department, Hospital Universitari Mútua de Tarrasa, Tarrasa, Spain
| | - Marga Giménez
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain
- IDIBAPS (Institut d'Investigacions Biomèdiques August Pi i Sunyer), Barcelona, Spain
- CIBERDEM (CIBER in Diabetes and Associated Metabolic Disorders), Barcelona, Spain
| | - Ignacio Conget
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain.
- IDIBAPS (Institut d'Investigacions Biomèdiques August Pi i Sunyer), Barcelona, Spain.
- CIBERDEM (CIBER in Diabetes and Associated Metabolic Disorders), Barcelona, Spain.
| |
Collapse
|
32
|
Guilmin-Crépon S, Carel JC, Schroedt J, Sulmont V, Salmon AS, Le Tallec C, Coutant R, Dalla-Vale F, Stuckens C, Bony-Trifunovic H, Crosnier H, Kurtz F, Kaguelidou F, Le Jeannic A, Durand-Zaleski I, Couque N, Alberti C, Tubiana-Rufi N. Is there an optimal strategy for real-time continuous glucose monitoring in pediatrics? A 12-month French multi-center, prospective, controlled randomized trial (Start-In!). Pediatr Diabetes 2019; 20:304-313. [PMID: 30663187 DOI: 10.1111/pedi.12820] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2018] [Revised: 11/14/2018] [Accepted: 01/02/2019] [Indexed: 02/06/2023] Open
Abstract
AIM To compare the efficacy of three strategies for real-time continuous glucose monitoring (RT-CGM) over 12 months in children and adolescents with type 1 diabetes. METHODS A French multicenter trial (NCT00949221) with a randomized, controlled, prospective, open, and parallel-group design was conducted. After 3 months of RT-CGM, patients were allocated to one of three groups: return to self-monitoring of blood glucose, continuous CGM (80% of the time), or discontinuous CGM (40% of the time). The primary outcome was hemoglobin A1c (HbA1c) levels from 3 to 12 months. The secondary outcomes were acute metabolic events, hypoglycemia, satisfaction with CGM and cost. RESULTS We included 151 subjects, aged 2 to 17 years, with a mean HbA1c level of 8.5% (SD0.7; 69 mmol/mol). The longitudinal change in HbA1c levels was similar in all three groups, at 3, 6, 9 and 12 months. The medical secondary endpoints did not differ between groups. The rate of severe hypoglycemia was significantly lower than that for the pretreatment year for the entire study population. Subjects reported consistent use and good tolerance of the device, regardless of age or insulin treatment. The use of full-time RT-CGM for 3 months costs the national medical insurance system €2629 per patient. CONCLUSION None of the three long-term RT-CGM strategies evaluated in pediatric type 1 diabetes was superior to the others in terms of HbA1c levels. CGM-use for 3 months decreased rates of severe hypoglycemia. Our results confirm the feasibility of long-term RT-CGM-use and the need to improve educational support for patients and caregivers.
Collapse
Affiliation(s)
- Sophie Guilmin-Crépon
- Pediatric Endocrinology and Diabetology Department and Centre de Référence des Maladies Endocriniennes Rares de la Croissance, CHU Robert Debré, AP-HP, Paris, France.,Unit of Clinical Epidemiology, CHU Robert Debré, APHP, Paris, France.,Inserm, UMR-S 1123 ECEVE and CIC-EC 1426, Paris, France.,University Paris Diderot, Sorbonne Paris Cité, Paris, France
| | - Jean-Claude Carel
- Pediatric Endocrinology and Diabetology Department and Centre de Référence des Maladies Endocriniennes Rares de la Croissance, CHU Robert Debré, AP-HP, Paris, France.,Inserm, PROTECT, Université Paris Diderot, Paris, France.,University Paris Diderot, Sorbonne Paris Cité, Paris, France
| | - Julien Schroedt
- Unit of Clinical Epidemiology, CHU Robert Debré, APHP, Paris, France.,Inserm, UMR-S 1123 ECEVE and CIC-EC 1426, Paris, France
| | | | | | - Claire Le Tallec
- Pediatric Diabetology Unit, Children's Hospital, CHU Toulouse, Toulouse, France
| | - Régis Coutant
- Pediatric Endocrinology and Diabetology Department, CHU Angers, Angers, France
| | - Fabienne Dalla-Vale
- Pediatric Unit, Arnaud de Villeneuve Children's Hospital, CHU Montpellier, Montpellier, France
| | - Chantal Stuckens
- Pediatric Unit, Jeanne de Flandre Hospital, CHU Lille, Lille, France
| | | | - Hélène Crosnier
- Pediatric Unit, Poissy Saint-Germain-en-Laye Hospital, Poissy, France
| | - François Kurtz
- Pediatric Unit, Saint Avold Hospital, Saint-Avold, France
| | | | - Anaïs Le Jeannic
- Inserm, UMR-S 1123 ECEVE and CIC-EC 1426, Paris, France.,Health Economics Clinical Research Platform (URCEco), APHP, Paris, France
| | - Isabelle Durand-Zaleski
- Inserm, UMR-S 1123 ECEVE and CIC-EC 1426, Paris, France.,Health Economics Clinical Research Platform (URCEco), APHP, Paris, France
| | - Nathalie Couque
- Department of Molecular Biochemistry, CHU Robert Debré, APHP, Paris, France
| | - Corinne Alberti
- Unit of Clinical Epidemiology, CHU Robert Debré, APHP, Paris, France.,Inserm, UMR-S 1123 ECEVE and CIC-EC 1426, Paris, France.,University Paris Diderot, Sorbonne Paris Cité, Paris, France
| | - Nadia Tubiana-Rufi
- Pediatric Endocrinology and Diabetology Department and Centre de Référence des Maladies Endocriniennes Rares de la Croissance, CHU Robert Debré, AP-HP, Paris, France.,University Paris Diderot, Sorbonne Paris Cité, Paris, France
| |
Collapse
|
33
|
Abstract
The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes 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, please refer to the Standards of Care Introduction Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
Collapse
|
34
|
Campbell FM, Murphy NP, Stewart C, Biester T, Kordonouri O. Outcomes of using flash glucose monitoring technology by children and young people with type 1 diabetes in a single arm study. Pediatr Diabetes 2018; 19:1294-1301. [PMID: 30054967 DOI: 10.1111/pedi.12735] [Citation(s) in RCA: 75] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2018] [Revised: 06/11/2018] [Accepted: 07/02/2018] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND AND OBJECTIVE Outcomes of using flash glucose monitoring have been reported in adults. This trial evaluated use in children and teenagers with type 1 diabetes. METHODS Prospective, single arm, non-inferiority multicenter study to demonstrate equivalence of time in range (TIR [70-180 mg/dL]) by comparing 14-day masked sensor wear (baseline) with self-monitored blood glucose (SMBG) testing to the final 14-days of 8-week open-label system use for diabetes self-management including insulin dosing. RESULTS A total of 76 children and teenagers (46.1% male; age 10.3 ± 4.0 years, type 1 diabetes duration 5.4 ± 3.7 years; mean ± SD) from 10 sites participated. TIR improved significantly by 0.9 ± 2.8 h/d (P = 0.005) vs SMBG baseline. Time in hyperglycemia (>180 mg/dL) reduced by -1.2 ± 3.3 h/d (P = 0.004). HbA1c reduced by -0.4% (-4.4 mmol/mol), from 7.9 ± 1.0% (62.9 ± 11.2 mmol/mol) baseline to 7.5 ± 0.9% (58.5 ± 9.8 mmol/mol) study end (P < 0.0001) with reductions across all age-subgroups (4-6, 7-12 and 13-17 years). Time in hypoglycemia (<70 mg/dL) was unaffected. Throughout the treatment phase system utilization was 91% ± 9; sensor scanning was 12.9 ± 5.7/d with SMBG dropping to 1.6 ± 1.9 from 7.7 ± 2.5/d. Diabetes Treatment Satisfaction Questionnaire "Total Treatment Satisfaction" score improved for parents (P < 0.0001) and teenagers (P < 0.0001). No adverse events (n = 121) were associated with sensor accuracy, 42 participants experienced sensor insertion signs and symptoms. Three participants experienced three mild device-related (sensor wear) symptoms, resolving quickly (without treatment [n = 2], non-prescription antihistamines [n = 1]). CONCLUSIONS Children with diabetes improved glycemic control safely and effectively with short-term flash glucose monitoring compared to use of SMBG in a single arm study.
Collapse
Affiliation(s)
- Fiona M Campbell
- Children's Diabetes Centre, Leeds Children's Hospital, Leeds Teaching Hospitals, Leeds, UK
| | - Nuala P Murphy
- Department of Paediatric Endocrinology, Children's University Hospital, Dublin, Republic of Ireland
| | | | - Torben Biester
- Diabetes Center for Children and Adolescents, Children's Hospital Auf der Bult, Hannover, Germany
| | - Olga Kordonouri
- Diabetes Center for Children and Adolescents, Children's Hospital Auf der Bult, Hannover, Germany
| |
Collapse
|
35
|
Sherr JL, Tauschmann M, Battelino T, de Bock M, Forlenza G, Roman R, Hood KK, Maahs DM. ISPAD Clinical Practice Consensus Guidelines 2018: Diabetes technologies. Pediatr Diabetes 2018; 19 Suppl 27:302-325. [PMID: 30039513 DOI: 10.1111/pedi.12731] [Citation(s) in RCA: 128] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2018] [Accepted: 07/10/2018] [Indexed: 12/12/2022] Open
Affiliation(s)
- Jennifer L Sherr
- Department of Pediatrics, Yale School of Medicine, Yale University, New Haven, Connecticut
| | - Martin Tauschmann
- Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK.,Department of Paediatrics, University of Cambridge, Cambridge, UK
| | - Tadej Battelino
- UMC-University Children's Hospital, Ljubljana, Slovenia.,Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Martin de Bock
- Department of Paediatrics, University of Otago, Christchurch, New Zealand
| | - Gregory Forlenza
- University of Colorado Denver, Barbara Davis Center, Aurora, Colorado
| | - Rossana Roman
- Medical Sciences Department, University of Antofagasta and Antofagasta Regional Hospital, Antofagasta, Chile
| | - Korey K Hood
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Palo Alto, California
| | - David M Maahs
- Department of Pediatrics, Stanford University School of Medicine, Palo Alto, California
| |
Collapse
|
36
|
Matsuoka A, Hirota Y, Urai S, Hamaguchi T, Takeuchi T, Miura H, Suematsu N, So A, Nakamura T, Komada H, Okada Y, Sakaguchi K, Ogawa W. Effect of switching from conventional continuous subcutaneous insulin infusion to sensor augmented pump therapy on glycemic profile in Japanese patients with type 1 diabetes. Diabetol Int 2018; 9:201-207. [PMID: 30603368 PMCID: PMC6224909 DOI: 10.1007/s13340-018-0344-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2017] [Accepted: 01/05/2018] [Indexed: 10/18/2022]
Abstract
AIMS Evidence suggests that sensor augmented pump (SAP) therapy is superior to conventional continuous subcutaneous insulin infusion (CSII) for achieving glycemic control in patients with type 1 diabetes. However, the clinical benefit of SAP therapy in East Asians has not yet been demonstrated. METHODS The effect of switching from conventional CSII to SAP therapy on glycemic profile was examined in 18 Japanese patients with type 1 diabetes. The glycemic profile of the patients was determined by retrospective continuous glucose monitoring (CGM) within 1 month before the treatment switch, whereas that at 6 and 12 months after the switch was evaluated with the CGM function of the SAP device. Hemoglobin A1c levels were also measured before and after the switch to SAP therapy. RESULTS The duration of hypoglycemia was significantly decreased at both 6 and 12 months after the change in treatment (6.6 ± 4.5, 3.2 ± 4.1, and 3.0 ± 2.8 min/h for before and 6 and 12 months, respectively), as was the HbA1c level at 12 months (7.8 ± 1.0 and 7.4 ± 0.9%, respectively). The duration of hyperglycemia did not differ between before and after the treatment switch. The decline in HbA1c level at 12 months after the switch to SAP was negatively correlated with age. CONCLUSION Switching from conventional CSII to SAP therapy was associated with a decrease in both the duration of hypoglycemia and the level of HbA1c in Japanese patients with type 1 diabetes.
Collapse
Affiliation(s)
- Atsuko Matsuoka
- Division of Diabetes and Endocrinology, Department of Internal Medicine, Kobe University Graduate School of Medicine, 7-5-1 Kusunoki-cho, Chuo-ku, Kobe, 650-0017 Japan
| | - Yushi Hirota
- Division of Diabetes and Endocrinology, Department of Internal Medicine, Kobe University Graduate School of Medicine, 7-5-1 Kusunoki-cho, Chuo-ku, Kobe, 650-0017 Japan
| | - Shin Urai
- Division of Diabetes and Endocrinology, Department of Internal Medicine, Kobe University Graduate School of Medicine, 7-5-1 Kusunoki-cho, Chuo-ku, Kobe, 650-0017 Japan
| | - Tetsushi Hamaguchi
- Division of Diabetes and Endocrinology, Department of Internal Medicine, Kobe University Graduate School of Medicine, 7-5-1 Kusunoki-cho, Chuo-ku, Kobe, 650-0017 Japan
| | - Takehito Takeuchi
- Division of Diabetes and Endocrinology, Department of Internal Medicine, Kobe University Graduate School of Medicine, 7-5-1 Kusunoki-cho, Chuo-ku, Kobe, 650-0017 Japan
| | - Hiroshi Miura
- Division of Diabetes and Endocrinology, Department of Internal Medicine, Kobe University Graduate School of Medicine, 7-5-1 Kusunoki-cho, Chuo-ku, Kobe, 650-0017 Japan
| | - Natsu Suematsu
- Division of Diabetes and Endocrinology, Department of Internal Medicine, Kobe University Graduate School of Medicine, 7-5-1 Kusunoki-cho, Chuo-ku, Kobe, 650-0017 Japan
| | - Anna So
- Division of Diabetes and Endocrinology, Department of Internal Medicine, Kobe University Graduate School of Medicine, 7-5-1 Kusunoki-cho, Chuo-ku, Kobe, 650-0017 Japan
| | - Tomoaki Nakamura
- Division of Diabetes and Endocrinology, Department of Internal Medicine, Kobe University Graduate School of Medicine, 7-5-1 Kusunoki-cho, Chuo-ku, Kobe, 650-0017 Japan
| | - Hisako Komada
- Division of Diabetes and Endocrinology, Department of Internal Medicine, Kobe University Graduate School of Medicine, 7-5-1 Kusunoki-cho, Chuo-ku, Kobe, 650-0017 Japan
| | - Yuko Okada
- Division of Diabetes and Endocrinology, Department of Internal Medicine, Kobe University Graduate School of Medicine, 7-5-1 Kusunoki-cho, Chuo-ku, Kobe, 650-0017 Japan
| | - Kazuhiko Sakaguchi
- Division of General Internal Medicine, Department of Internal Medicine, Kobe University Graduate School of Medicine, 7-5-1 Kusunoki-cho, Chuo-ku, Kobe, 650-0017 Japan
| | - Wataru Ogawa
- Division of Diabetes and Endocrinology, Department of Internal Medicine, Kobe University Graduate School of Medicine, 7-5-1 Kusunoki-cho, Chuo-ku, Kobe, 650-0017 Japan
| |
Collapse
|
37
|
Moreno-Fernandez J, Pazos-Couselo M, González-Rodriguez M, Rozas P, Delgado M, Aguirre M, Garcia-Lopez JM. Clinical value of Flash glucose monitoring in patients with type 1 diabetes treated with continuous subcutaneous insulin infusion. ACTA ACUST UNITED AC 2018; 65:556-563. [PMID: 29907546 DOI: 10.1016/j.endinu.2018.04.003] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2017] [Revised: 03/02/2018] [Accepted: 04/13/2018] [Indexed: 11/26/2022]
Abstract
AIM To analyze the clinical impact of the Flash glucose monitoring system in patients with type 1 diabetes mellitus (T1DM) treated with continuous subcutaneous insulin infusion (CSII). METHODS A 24-week retrospective cohort study in CSII-treated T1DM patients exposed (1:1) to the Flash glucose monitoring system vs. self-monitoring of capillary blood glucose (SMBG). The primary outcome was the difference in hemoglobin A1c (HbA1c) levels between both groups at the end of the study. RESULTS Thirty-six patients with a mean age of 38.2 years (range 22-55) and a mean T1DM duration of 20.9±7.8 years, treated with CSII for 7.1±5.4 years, were enrolled into the study. At the end of the study, mean HbA1c levels improved in patients in the Flash group (7.1±0.7 vs. 7.8±1.0, p=0.04). Only the Flash group showed a significant decrease in HbA1c levels of -0.4% (95% CI, -0.6, -0.2; p=0.004) during follow-up. Flash patients captured 93.9% of data through 17.8±9.9 scans daily. In fact, the Flash cohort showed a three-fold increase in daily self-monitoring of glucose, while daily frequency of SMBG decreased during the study (-1.8 tests/24h (95% CI -3, -0.7; p=0.01). No safety issues related to Flash use were recorded. CONCLUSIONS The Flash glucose monitoring system is a novel approach to improve blood glucose control in CSII-treated T1DM patients. Randomized controlled trials are needed to assess the effectiveness of this system in CSII-treated T1DM patients.
Collapse
Affiliation(s)
- Jesus Moreno-Fernandez
- Endocrinology and Nutrition Service, Ciudad Real General University Hospital, Ciudad Real, Spain.
| | - Marcos Pazos-Couselo
- Endocrinology and Nutrition Service, Hospital Complex Santiago de Compostela, Santiago de Compostela, Spain
| | - Maria González-Rodriguez
- Endocrinology and Nutrition Service, Hospital Complex Santiago de Compostela, Santiago de Compostela, Spain
| | - Pedro Rozas
- Endocrinology and Nutrition Service, Ciudad Real General University Hospital, Ciudad Real, Spain
| | - Manuel Delgado
- Endocrinology and Nutrition Service, Ciudad Real General University Hospital, Ciudad Real, Spain
| | - Miguel Aguirre
- Endocrinology and Nutrition Service, Ciudad Real General University Hospital, Ciudad Real, Spain
| | - Jose Manuel Garcia-Lopez
- Endocrinology and Nutrition Service, Hospital Complex Santiago de Compostela, Santiago de Compostela, Spain
| |
Collapse
|
38
|
McAuley SA, de Bock MI, Sundararajan V, Lee MH, Paldus B, Ambler GR, Bach LA, Burt MG, Cameron FJ, Clarke PM, Cohen ND, Colman PG, Davis EA, Fairchild JM, Hendrieckx C, Holmes-Walker DJ, Horsburgh JC, Jenkins AJ, Kaye J, Keech AC, King BR, Kumareswaran K, MacIsaac RJ, McCallum RW, Nicholas JA, Sims C, Speight J, Stranks SN, Trawley S, Ward GM, Vogrin S, Jones TW, O'Neal DN. Effect of 6 months of hybrid closed-loop insulin delivery in adults with type 1 diabetes: a randomised controlled trial protocol. BMJ Open 2018; 8:e020274. [PMID: 29886443 PMCID: PMC6009467 DOI: 10.1136/bmjopen-2017-020274] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
INTRODUCTION Manual determination of insulin dosing largely fails to optimise glucose control in type 1 diabetes. Automated insulin delivery via closed-loop systems has improved glucose control in short-term studies. The objective of the present study is to determine the effectiveness of 6 months' closed-loop compared with manually determined insulin dosing on time-in-target glucose range in adults with type 1 diabetes. METHODS AND ANALYSIS This open-label, seven-centre, randomised controlled parallel group clinical trial will compare home-based hybrid closed-loop versus standard diabetes therapy in Australia. Adults aged ≥25 years with type 1 diabetes using intensive insulin therapy (via multiple daily injections or insulin pump, total enrolment target n=120) will undertake a run-in period including diabetes and carbohydrate-counting education, clinical optimisation and baseline data collection. Participants will then be randomised 1:1 either to 26 weeks of MiniMed 670G hybrid closed-loop system therapy (Medtronic, Northridge, CA, USA) or continuation of their current diabetes therapy. The hybrid closed-loop system delivers insulin automatically to address basal requirements and correct to target glucose level, while bolus doses for meals require user initiation and carbohydrate estimation. Analysis will be intention to treat, with the primary outcome time in continuous glucose monitoring (CGM) target range (3.9-10.0 mmol/L) during the final 3 weeks of intervention. Secondary outcomes include: other CGM parameters, HbA1c, severe hypoglycaemia, psychosocial well-being, sleep, cognition, electrocardiography, costs, quality of life, biomarkers of vascular health and hybrid closed-loop system performance. Semistructured interviews will assess the expectations and experiences of a subgroup of hybrid closed-loop users. ETHICS AND DISSEMINATION The study has Human Research Ethics Committee approval. The study will be conducted in accordance with the principles of the Declaration of Helsinki and Good Clinical Practice. Results will be disseminated at scientific conferences and via peer-reviewed publications. TRIAL REGISTRATION NUMBER ACTRN12617000520336; Pre-results.
Collapse
Affiliation(s)
- Sybil A McAuley
- Department of Medicine, University of Melbourne, Melbourne, Victoria, Australia
- Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Melbourne, Victoria, Australia
| | - Martin I de Bock
- 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
| | - Vijaya Sundararajan
- Department of Medicine, University of Melbourne, Melbourne, Victoria, Australia
| | - Melissa H Lee
- Department of Medicine, University of Melbourne, Melbourne, Victoria, Australia
- Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Melbourne, Victoria, Australia
| | - Barbora Paldus
- Department of Medicine, University of Melbourne, Melbourne, Victoria, Australia
| | - Geoff R Ambler
- Institute of Endocrinology and Diabetes, The Children's Hospital at Westmead, Sydney, New South Wales, 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
| | - Fergus J Cameron
- Department ofEndocrinology and Diabetes and Centre for Hormone Research, Royal Children'sHospital, Melbourne, Victoria, Australia
- Murdoch Children'sResearch Institute, Melbourne, Victoria, Australia
- Department ofPaediatrics, University ofMelbourne, Melbourne, Victoria, 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
| | - 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
- School of Paediatrics and Child Health, University of Western Australia, Perth, Western Australia, Australia
| | - Jan M Fairchild
- Endocrinology and Diabetes Centre, Women's and Children's Hospital, Adelaide, South Australia, Australia
| | - Christel Hendrieckx
- School of Psychology, Deakin University, Geelong, Victoria, Australia
- Australian Centre for Behavioural Research in Diabetes, Melbourne, Victoria, Australia
| | - 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
| | - Jodie C Horsburgh
- Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Melbourne, Victoria, Australia
| | - Alicia J Jenkins
- Department of Medicine, University of Melbourne, Melbourne, Victoria, Australia
- Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Melbourne, 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
| | - Bruce R King
- Department of Endocrinology and Diabetes, John Hunter Children's Hospital, Newcastle, New South Wales, Australia
| | - Kavita Kumareswaran
- Department of Endocrinology and Diabetes, Alfred Hospital, Melbourne, Victoria, Australia
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Richard J MacIsaac
- Department of Medicine, University of Melbourne, Melbourne, Victoria, Australia
- Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Melbourne, Victoria, Australia
| | - Roland W McCallum
- Department of Diabetes and Endocrinology, Royal Hobart Hospital, Hobart, Tasmania, Australia
| | - Jennifer A Nicholas
- 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
| | - Catriona Sims
- Department of Medicine, University of Melbourne, Melbourne, Victoria, Australia
| | - Jane Speight
- School of Psychology, Deakin University, Geelong, Victoria, Australia
- Australian Centre for Behavioural Research in Diabetes, Melbourne, 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
| | - Steven Trawley
- Australian Centre for Behavioural Research in Diabetes, Melbourne, Victoria, Australia
- Cairnmillar Institute, Melbourne, Victoria, Australia
| | - Glenn M Ward
- Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Melbourne, Victoria, Australia
- Department of Pathology, St Vincent's Hospital Melbourne, Melbourne, Victoria, Australia
| | - Sara Vogrin
- Department of Medicine, University of Melbourne, Melbourne, Victoria, 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
| | - David N O'Neal
- Department of Medicine, University of Melbourne, Melbourne, Victoria, Australia
- Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Melbourne, Victoria, Australia
| |
Collapse
|
39
|
Yu S, Varughese B, Li Z, Kushner PR. Healthcare Resource Waste Associated with Patient Nonadherence and Early Discontinuation of Traditional Continuous Glucose Monitoring in Real-World Settings: A Multicountry Analysis. Diabetes Technol Ther 2018; 20:420-427. [PMID: 29923774 PMCID: PMC6014049 DOI: 10.1089/dia.2017.0435] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND Traditional continuous glucose monitoring (CGM) provides detailed information on glucose patterns and trends to inform daily diabetes management decisions, which is particularly beneficial for patients with a history of hypoglycemia unawareness. However, a high level of patient adherence (≥70%) is required to achieve clinical benefits. The aim of this study was to assess the impact of real-world patient nonadherence and early discontinuation on healthcare resource use. METHODS A cost calculator was designed to evaluate monthly healthcare resource waste within the first year of traditional CGM initiation by combining estimates of real-world nonadherence and early discontinuation from the literature with the wholesale acquisition costs of the current technology in the United States (for a commercial payer and for Medicare), or its equivalent in Sweden, Germany, or the Netherlands. RESULTS Based on an early discontinuation rate of 27% and nonadherence rates of 13.9%-31.1% over the 12 months following initiation, the healthcare resource waste associated with nonadherence and early discontinuation was $220,289 and $21,775, respectively, for every 100 patients initiating CGM in the U.S. commercial payer scenario. In the Medicare scenario, the corresponding figures were $72,648 and $5,675, respectively. In both scenarios, nonadherence and early discontinuation accounted for ∼24% of resources being wasted within the first year of CGM initiation. Similar results were observed using the local costs in the other countries analyzed. CONCLUSIONS The healthcare resource waste associated with traditional CGM nonadherence and early discontinuation warrants deliberate consideration when selecting suitable patients for this technology.
Collapse
Affiliation(s)
| | | | - Zhiyi Li
- Asclepius Analytics, New York, New York
| | | |
Collapse
|
40
|
Ilany J, Bhandari H, Nabriski D, Toledano Y, Konvalina N, Cohen O. Effect of prandial treatment timing adjustment, based on continuous glucose monitoring, in patients with type 2 diabetes uncontrolled with once-daily basal insulin: A randomized, phase IV study. Diabetes Obes Metab 2018; 20:1186-1192. [PMID: 29316176 PMCID: PMC5947685 DOI: 10.1111/dom.13214] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2017] [Revised: 12/25/2017] [Accepted: 12/25/2017] [Indexed: 12/16/2022]
Abstract
AIMS To evaluate the glycaemic control achieved by prandial once-daily insulin glulisine injection timing adjustment, based on a continuous glucose monitoring sensor, in comparison to once-daily insulin glulisine injection before breakfast in patients with type 2 diabetes who are uncontrolled with once-daily basal insulin glargine. MATERIALS AND METHODS This was a 24-week open-label, randomized, controlled, multicentre trial. At the end of an 8-week period of basal insulin optimization, patients with HbA1c ≥ 7.5% and FPG < 130 mg/dL were randomized (1:1) to either arm A (no sensor) or arm B (sensor) to receive 16-week intensified prandial glulisine treatment. Patients in arm A received pre-breakfast glulisine, and patients in arm B received glulisine before the meal with the highest glucose elevation based on sensor data. The primary outcome was mean HbA1c at week 24 and secondary outcomes included rates of hypoglycaemic events and insulin dosage. RESULTS A total of 121 patients were randomized to arm A (n = 61) or arm B (n = 60). There was no difference in mean HbA1c at week 24 between arms A and B (8.5% ± 1.2% vs 8.4% ± 1.0%; P = .66). The prandial insulin glulisine dosage for arm A and arm B was 9.3 and 10.1 units, respectively (P = .39). The frequency of hypoglycaemic events did not differ between study arms (36.1% vs 51.7%; P = .08). CONCLUSION Using a CGM sensor to identify the meal with the highest glucose excursion and adjusting the timing of prandial insulin treatment did not show any advantage in terms of glycaemic control or safety in our patients.
Collapse
Affiliation(s)
- Jacob Ilany
- Institute of Endocrinology, Sheba MCRamat‐GannIsrael
| | | | - Dan Nabriski
- Endocrine Unit, Meir MC, Clalit Health FundKfar‐SabaIsrael
| | | | - Noa Konvalina
- Institute of Endocrinology, Sheba MCRamat‐GannIsrael
| | - Ohad Cohen
- Institute of Endocrinology, Sheba MCRamat‐GannIsrael
| |
Collapse
|
41
|
Abstract
Diabetes is highly and increasingly prevalent in the dialysis population and negatively impacts both quality and quantity of life. Nevertheless, the best approach to these patients is still debatable. The question of whether the management of diabetes should be different in dialysis patients does not have a clear yes or no answer but is divided into too many sub-issues that should be carefully considered. In this review, lifestyle, cardiovascular risk, and hyperglycemia management are explored, emphasizing the possible pros and cons of a similar approach to diabetes in dialysis patients compared to the general population.
Collapse
Affiliation(s)
- Silvia Coelho
- Nephrology and Intensive Care Departments, Hospital Fernando Fonseca, Amadora, Portugal.,CEDOC - Chronic Diseases Research Center, NOVA Medical School, NOVA University of Lisbon, Lisbon, Portugal
| |
Collapse
|
42
|
|
43
|
|
44
|
Charleer S, Mathieu C, Nobels F, De Block C, Radermecker RP, Hermans MP, Taes Y, Vercammen C, T'Sjoen G, Crenier L, Fieuws S, Keymeulen B, Gillard P. Effect of Continuous Glucose Monitoring on Glycemic Control, Acute Admissions, and Quality of Life: A Real-World Study. J Clin Endocrinol Metab 2018; 103:1224-1232. [PMID: 29342264 DOI: 10.1210/jc.2017-02498] [Citation(s) in RCA: 107] [Impact Index Per Article: 17.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2017] [Accepted: 01/09/2018] [Indexed: 02/04/2023]
Abstract
CONTEXT Randomized controlled trials evaluating real-time continuous glucose monitoring (RT-CGM) patients with type 1 diabetes (T1D) show improved glycemic control, but limited data are available on real-world use. OBJECTIVE To assess impact of RT-CGM in real-world settings on glycemic control, hospital admissions, work absenteeism, and quality of life (QOL). DESIGN Prospective, observational, multicenter, cohort study. PARTICIPANTS A total of 515 adults with T1D on continuous subcutaneous insulin infusion (CSII) therapy starting in the Belgian RT-CGM reimbursement program. INTERVENTION Initiation of RT-CGM reimbursement. MAIN OUTCOME MEASURE Hemoglobin A1c (HbA1c) evolution from baseline to 12 months. RESULTS Between September 1, 2014, and December 31, 2016, 515 adults entered the reimbursement system. Over this period, 417 (81%) patients used RT-CGM for at least 12 months. Baseline HbA1c was 7.7 ± 0.9% (61 ± 9.8 mmol/mol) and decreased to 7.4 ± 0.8% (57 ± 8.7 mmol/mol) at 12 months (P < 0.0001). Subjects who started RT-CGM because of insufficient glycemic control showed stronger decrease in HbA1c at 4, 8, and 12 months compared with patients who started because of hypoglycemia or pregnancy. In the year preceding reimbursement, 16% of patients were hospitalized for severe hypoglycemia or ketoacidosis in contrast to 4% (P < 0.0005) the following year, with decrease in admission days from 54 to 18 per 100 patient years (P < 0.0005). In the same period, work absenteeism decreased and QOL improved significantly, with strong decline in fear of hypoglycemia. CONCLUSION Sensor-augmented pump therapy in patients with T1D followed in specialized centers improves HbA1c, fear of hypoglycemia, and QOL, whereas work absenteeism and admissions for acute diabetes complications decreased.
Collapse
Affiliation(s)
- Sara Charleer
- Department of Endocrinology, University Hospitals Leuven-Katholieke Universiteit Leuven, Leuven, Belgium
- PhD Fellowship Strategic Basic Research of the Research Foundation-Flanders (Fonds Wetenschappelijk Onderzoek), Brussels, Belgium
| | - Chantal Mathieu
- Department of Endocrinology, University Hospitals Leuven-Katholieke Universiteit Leuven, Leuven, Belgium
| | - Frank Nobels
- Department of Endocrinology, Onze-Lieve-Vrouw Hospital Aalst, Aalst, Belgium
| | - Christophe De Block
- Department of Endocrinology, Diabetology and Metabolism, University of Antwerp-Antwerp University Hospital, Antwerp, Belgium
| | - Regis P Radermecker
- Department of Diabetes, Nutrition and Metabolic Disorders, Centre Hospitalier Universitaire Liege-Liege University, Liege, Belgium
| | - Michel P Hermans
- Department of Endocrinology and Nutrition, Cliniques Universitaires St-Luc-Université Catholique de Louvain, Brussels, Belgium
| | - Youri Taes
- Department of Endocrinology, Algemeen Ziekenhuis Sint-Jan Brugge AV, Bruges, Belgium
| | - Chris Vercammen
- Department of Endocrinology, Imelda Hospital Bonheiden, Bonheiden, Belgium
| | - Guy T'Sjoen
- Department of Endocrinology, Ghent University Hospital, Ghent, Belgium
| | - Laurent Crenier
- Department of Endocrinology, Université Libre de Bruxelles-Hôpital Erasme, Brussels, Belgium
| | - Steffen Fieuws
- Department of Public Health and Primary Care, I-BioStat, KU Leuven-University of Leuven and Universiteit Hasselt, Leuven, Belgium
| | - Bart Keymeulen
- Diabeteskliniek, University Hospital Brussels-Vrije Universiteit Brussel, Brussels, Belgium
| | - Pieter Gillard
- Department of Endocrinology, University Hospitals Leuven-Katholieke Universiteit Leuven, Leuven, Belgium
| | | |
Collapse
|
45
|
Christiansen MP, Klaff LJ, Brazg R, Chang AR, Levy CJ, Lam D, Denham DS, Atiee G, Bode BW, Walters SJ, Kelley L, Bailey TS. A Prospective Multicenter Evaluation of the Accuracy of a Novel Implanted Continuous Glucose Sensor: PRECISE II. Diabetes Technol Ther 2018; 20:197-206. [PMID: 29381090 PMCID: PMC5867508 DOI: 10.1089/dia.2017.0142] [Citation(s) in RCA: 80] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
BACKGROUND Persistent use of real-time continuous glucose monitoring (CGM) improves diabetes control in individuals with type 1 diabetes (T1D) and type 2 diabetes (T2D). METHODS PRECISE II was a nonrandomized, blinded, prospective, single-arm, multicenter study that evaluated the accuracy and safety of the implantable Eversense CGM system among adult participants with T1D and T2D (NCT02647905). The primary endpoint was the mean absolute relative difference (MARD) between paired Eversense and Yellow Springs Instrument (YSI) reference measurements through 90 days postinsertion for reference glucose values from 40 to 400 mg/dL. Additional endpoints included Clarke Error Grid analysis and sensor longevity. The primary safety endpoint was the incidence of device-related or sensor insertion/removal procedure-related serious adverse events (SAEs) through 90 days postinsertion. RESULTS Ninety participants received the CGM system. The overall MARD value against reference glucose values was 8.8% (95% confidence interval: 8.1%-9.3%), which was significantly lower than the prespecified 20% performance goal for accuracy (P < 0.0001). Ninety-three percent of CGM values were within 20/20% of reference values over the total glucose range of 40-400 mg/dL. Clarke Error Grid analysis showed 99.3% of samples in the clinically acceptable error zones A (92.8%) and B (6.5%). Ninety-one percent of sensors were functional through day 90. One related SAE (1.1%) occurred during the study for removal of a sensor. CONCLUSIONS The PRECISE II trial demonstrated that the Eversense CGM system provided accurate glucose readings through the intended 90-day sensor life with a favorable safety profile.
Collapse
Affiliation(s)
| | | | - Ronald Brazg
- Rainier Clinical Research Center, Inc., Renton, Washington
| | - Anna R. Chang
- John Muir Physician Network Clinical Research Center, Concord, California
| | - Carol J. Levy
- Department of Medicine, Mount Sinai Diabetes Center, New York, New York
| | - David Lam
- Department of Medicine, Mount Sinai Diabetes Center, New York, New York
| | | | | | | | - Steven J. Walters
- Clinical Sciences and Medical Affairs, Senseonics, Inc., Germantown, Maryland
| | - Lynne Kelley
- Clinical Sciences and Medical Affairs, Senseonics, Inc., Germantown, Maryland
| | | |
Collapse
|
46
|
Abstract
The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes 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, please refer to the Standards of Care Introduction Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
Collapse
|
47
|
Klonoff DC, Ahn D, Drincic A. Continuous glucose monitoring: A review of the technology and clinical use. Diabetes Res Clin Pract 2017; 133:178-192. [PMID: 28965029 DOI: 10.1016/j.diabres.2017.08.005] [Citation(s) in RCA: 145] [Impact Index Per Article: 20.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2017] [Revised: 06/27/2017] [Accepted: 08/08/2017] [Indexed: 02/01/2023]
Abstract
Continuous glucose monitoring (CGM) is an increasingly adopted technology for insulin-requiring patients that provides insights into glycemic fluctuations. CGM can assist patients in managing their diabetes with lifestyle and medication adjustments. This article provides an overview of the technical and clinical features of CGM based on a review of articles in PubMed on CGM from 1999 through January 31, 2017. A detailed description is presented of three professional (retrospective), three personal (real-time) continuous glucose monitors, and three sensor integrated pumps (consisting of a sensor and pump that communicate with each other to determine an optimal insulin dose and adjust the delivery of insulin) that are currently available in United States. We have reviewed outpatient CGM outcomes, focusing on hemoglobin A1c (A1C), hypoglycemia, and quality of life. Issues affecting accuracy, detection of glycemic variability, strategies for optimal use, as well as cybersecurity and future directions for sensor design and use are discussed. In conclusion, CGM is an important tool for monitoring diabetes that has been shown to improve outcomes in patients with type 1 diabetes mellitus. Given currently available data and technological developments, we believe that with appropriate patient education, CGM can also be considered for other patient populations.
Collapse
Affiliation(s)
- David C Klonoff
- Diabetes Research Institute, Mills-Peninsula Health Services, San Mateo, CA, USA.
| | - David Ahn
- University of California, Los Angeles, Los Angeles, CA, USA
| | | |
Collapse
|
48
|
Jendle J, Smith-Palmer J, Delbaere A, de Portu S, Papo N, Valentine W, Roze S. Cost-Effectiveness Analysis of Sensor-Augmented Insulin Pump Therapy with Automated Insulin Suspension Versus Standard Insulin Pump Therapy in Patients with Type 1 Diabetes in Sweden. Diabetes Ther 2017; 8:1015-1030. [PMID: 28871565 PMCID: PMC5630551 DOI: 10.1007/s13300-017-0294-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2017] [Indexed: 01/22/2023] Open
Abstract
INTRODUCTION In Sweden an estimated 10,000 people with type 1 diabetes use continuous subcutaneous insulin infusion (CSII). Sensor-augmented pump therapy (SAP) is associated with higher acquisition costs but provides additional clinical benefits (e.g. reduced rate of hypoglycemic events) over and above that of CSII alone. The aim of the analysis was to assess the cost-effectiveness of SAP with automated insulin suspension relative to CSII alone in two different groups of patients with type 1 diabetes in Sweden. METHODS Cost-effectiveness analyses were performed using the QuintilesIMS CORE Diabetes Model, with clinical and economic input data derived from published literature. Separate analyses were performed for patients at increased risk of hypoglycemia and for patients with uncontrolled glycated hemoglobin (HbA1c) at baseline. Analyses were performed from a societal perspective over a lifetime time horizon. Future costs and clinical outcomes were discounted at 3% per annum. RESULTS SAP with automated insulin suspension was associated with an incremental gain in quality-adjusted life expectancy versus the CSII of 1.88 quality-adjusted life years (QALYs) in patients at high risk of hypoglycemia and of 1.07 QALYs in patients with uncontrolled HbA1c at baseline. Higher lifetime costs for SAP with automated insulin suspension resulted in projected incremental cost-effectiveness ratios for the SAP with automated insulin suspension versus CSII of Swedish Krona (SEK) 139,795 [euros (EUR) 14,648] per QALY gained for patients at increased risk for hypoglycemia and SEK 251,896 (EUR 26,395) per QALY gained for patients with uncontrolled HbA1c. In both groups, SAP with automated insulin suspension also reduced the incidence of diabetes-related complications relative to CSII. CONCLUSIONS In Sweden, SAP with automated insulin suspension likely represents a cost-effective treatment option relative to CSII for the management of patients with type 1 diabetes with a history of severe hypoglycemic events or patients who struggle to achieve good glycemic control despite the use of CSII. FUNDING Medtronic International Trading Sàrl.
Collapse
Affiliation(s)
| | | | - Alexis Delbaere
- Medtronic International Trading Sarl, Tolochenaz, Switzerland
| | - Simona de Portu
- Medtronic International Trading Sarl, Tolochenaz, Switzerland
| | - Natalie Papo
- Medtronic International Trading Sarl, Tolochenaz, Switzerland
| | | | | |
Collapse
|
49
|
Galderisi A, Schlissel E, Cengiz E. Keeping Up with the Diabetes Technology: 2016 Endocrine Society Guidelines of Insulin Pump Therapy and Continuous Glucose Monitor Management of Diabetes. Curr Diab Rep 2017; 17:111. [PMID: 28942594 DOI: 10.1007/s11892-017-0944-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
PURPOSE OF REVIEW Decades after the invention of insulin pump, diabetes management has encountered a technology revolution with the introduction of continuous glucose monitoring, sensor-augmented insulin pump therapy and closed-loop/artificial pancreas systems. In this review, we discuss the significance of the 2016 Endocrine Society Guidelines for insulin pump therapy and continuous glucose monitoring and summarize findings from relevant diabetes technology studies that were conducted after the publication of the 2016 Endocrine Society Guidelines. RECENT FINDINGS The 2016 Endocrine Society Guidelines have been a great resource for clinicians managing diabetes in this new era of diabetes technology. There is good body of evidence indicating that using diabetes technology systems safely tightens glycemic control while managing both type 1 and type 2 diabetes. The first-generation diabetes technology systems will evolve as we gain more experience and collaboratively work to improve them with an ultimate goal of keeping people with diabetes complication and burden-free until the cure for diabetes becomes a reality.
Collapse
Affiliation(s)
- Alfonso Galderisi
- Division of Pediatric Endocrinology and Diabetes, Yale School of Medicine, 333 Cedar St., P.O. Box 208064, New Haven, CT, 06520, USA
- Department of Women and Children's Health, University of Padova, Padova, Italy
| | - Elise Schlissel
- Department of Pediatrics, Yale School of Medicine, New Haven, CT, USA
| | - Eda Cengiz
- Division of Pediatric Endocrinology and Diabetes, Yale School of Medicine, 333 Cedar St., P.O. Box 208064, New Haven, CT, 06520, USA.
- Department of Pediatrics, Yale School of Medicine, New Haven, CT, USA.
- Division of Pediatric Endocrinology, Koc University School of Medicine, Istanbul, Turkey.
| |
Collapse
|
50
|
Gómez AM, Henao Carrillo DC, Muñoz Velandia OM. Devices for continuous monitoring of glucose: update in technology. MEDICAL DEVICES-EVIDENCE AND RESEARCH 2017; 10:215-224. [PMID: 28979168 PMCID: PMC5602456 DOI: 10.2147/mder.s110121] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Continuous glucose monitoring (CGM) is a tool that allows constant evaluation of glycemic control, providing data such as the trend and fluctuation of interstitial glucose levels over time. In clinical practice, there are two modalities: the professional or retrospective and the personal or real-time CGM (RT-CGM). The latest-generation sensors are more accurate and sensitive for hypoglycemia, improving adherence to self-monitoring, which has allowed optimizing glycemic control. The development of algorithms that allow the suspension of the infusion of insulin during hypoglycemia gave rise to the integrated therapy or sensor-augmented insulin pump therapy with low glucose suspend, which has proven to be an effective and safe alternative in the treatment of diabetic patients with high risk of hypoglycemia. The objective of this review is to present the evidence of the advantages of RT-CGM, the clinical impact of integrated therapy, and cost-effectiveness of its implementation in the treatment of patients with diabetes mellitus.
Collapse
Affiliation(s)
- Ana María Gómez
- Endocrinology Unit, Hospital Universitario San Ignacio, Bogotá, Colombia
| | | | - Oscar Mauricio Muñoz Velandia
- Department of Internal Medicine, Hospital Universitario San Ignacio, Bogotá, Colombia.,Department of Clinical Epidemiology, Pontificia Universidad Javeriana, Faculty of Medicine, Bogotá, Colombia
| |
Collapse
|