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Hjort A, Iggman D, Rosqvist F. Glycemic variability assessed using continuous glucose monitoring in individuals without diabetes and associations with cardiometabolic risk markers: A systematic review and meta-analysis. Clin Nutr 2024; 43:915-925. [PMID: 38401227 DOI: 10.1016/j.clnu.2024.02.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 02/06/2024] [Accepted: 02/13/2024] [Indexed: 02/26/2024]
Abstract
BACKGROUND & AIMS Continuous glucose monitoring (CGM) provides data on short-term glycemic variability (GV). GV is associated with adverse outcomes in individuals with diabetes. Whether GV is associated with cardiometabolic risk in individuals without diabetes is unclear. We systematically reviewed the literature to assess whether GV is associated with cardiometabolic risk markers or outcomes in individuals without diabetes. METHODS Searches were performed in PubMed/Medline, Embase and Cochrane from inception through April 2022. Two researchers were involved in study selection, data extraction and quality assessment. Studies evaluating GV using CGM for ≥24 h were included. Studies in populations with acute and/or critical illness were excluded. Both narrative synthesis and meta-analyzes were performed, depending on outcome. RESULTS Seventy-one studies were included; the majority were cross-sectional. Multiple measures of GV are higher in individuals with compared to without prediabetes and GV appears to be inversely associated with beta cell function. In contrast, GV is not clearly associated with insulin sensitivity, fatty liver disease, adiposity, blood lipids, blood pressure or oxidative stress. However, GV may be positively associated with the degree of atherosclerosis and cardiovascular events in individuals with coronary disease. CONCLUSION GV is elevated in prediabetes, potentially related to beta cell dysfunction, but less clearly associated with obesity or traditional risk factors. GV is associated with coronary atherosclerosis development and may predict cardiovascular events and type 2 diabetes. Prospective studies are warranted, investigating the predictive power of GV in relation to incident disease. GV may be an important risk measure also in individuals without diabetes.
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Affiliation(s)
- Anna Hjort
- Department of Biology and Biological Engineering, Division of Food and Nutrition Science, Chalmers University of Technology, Kemivägen 10, 41296 Gothenburg, Sweden.
| | - David Iggman
- Center for Clinical Research Dalarna, Uppsala University, Nissers väg 3, 79182 Falun, Sweden; Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Husargatan 3, BMC, Box 564, 75122 Uppsala, Sweden.
| | - Fredrik Rosqvist
- Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Husargatan 3, BMC, Box 564, 75122 Uppsala, Sweden.
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Carlson AL, Daniel TD, DeSantis A, Jabbour S, Karslioglu French E, Kruger D, Miller E, Ozer K, Elliott T. Flash glucose monitoring in type 2 diabetes managed with basal insulin in the USA: a retrospective real-world chart review study and meta-analysis. BMJ Open Diabetes Res Care 2022; 10:10/1/e002590. [PMID: 35058312 PMCID: PMC8783803 DOI: 10.1136/bmjdrc-2021-002590] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Accepted: 12/10/2021] [Indexed: 12/19/2022] Open
Abstract
INTRODUCTION Evidence supporting use of continuous glucose monitoring in type 2 diabetes treated with basal insulin is unclear. This real-world study aimed to assess the impact on glycated hemoglobin (HbA1c) of flash glucose monitoring use in adults with type 2 diabetes managed with basal insulin. RESEARCH DESIGN AND METHODS Medical records were reviewed for adult individuals with type 2 diabetes using basal insulin for ≥1 year with or without additional antihyperglycemic medication, HbA1c 8.0%-12.0% prior to FreeStyle Libre Flash Glucose Monitoring use for ≥90 days and an HbA1c measurement recorded between 90 and 194 days after device use. Exclusion criteria included utilization of bolus insulin. Meta-analysis data are from the current study (USA) and a similar Canadian cohort. RESULTS Medical record analysis (n=100) from 8 USA study sites showed significant HbA1c decrease of 1.4%±1.3%, from 9.4%±1.0% at baseline to 8.0%±1.2% after device use, p<0.0001 (mean±SD).Meta-analysis of medical records from USA and Canada sites (n=191) showed HbA1c significantly decreased by 1.1%±0.14% (mean±SE), from baseline 9.2%±1.0% to 8.1%±1.1%, p≤0.0001, with moderate to high heterogeneity between sites (Q=43.9, I2=74.9, p<0.0001) explained by differences in baseline HbA1c between sites.The HbA1c improvement in both groups was observed by age group, body mass index, duration of insulin use and sex at birth. CONCLUSIONS In a real-world retrospective USA study and a meta-analysis of a larger USA and Canada cohort, HbA1c significantly reduced in basal insulin-treated type 2 diabetes, without bolus insulin initiation and following the commencement of flash glucose monitoring technology.
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Affiliation(s)
- Anders L Carlson
- International Diabetes Centre IDC, HealthPartners Institute, Minneapolis, Minnesota, USA
| | | | - Andrea DeSantis
- Department of Family Medicine, The Charlotte-Mecklenburg Hospital Authority d/b/a Atrium Health, Charlotte, North Carolina, USA
| | - Serge Jabbour
- Diabetes Research Center, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Esra Karslioglu French
- Department of Endocrinology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Davida Kruger
- Division of Endocrinology, Henry Ford Health System, Detroit, Michigan, USA
| | - Eden Miller
- Diabetes and Obesity Care LLC, Bend, Oregon, USA
| | - Kerem Ozer
- Texas Diabetes & Endocrinology, Round Rock, Texas, USA
| | - Tom Elliott
- BC Diabetes, Vancouver, British Columbia, Canada
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Glycaemic variabilities: Key questions in pursuit of clarity. DIABETES & METABOLISM 2021; 47:101283. [PMID: 34547451 DOI: 10.1016/j.diabet.2021.101283] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Accepted: 09/05/2021] [Indexed: 12/12/2022]
Abstract
After years of intensive investigation, the definition of glycaemic variability remains unclear and the term variability in glucose homoeostasis might be more appropriate covering both short and long-term glycaemic variability. For the latter, we remain in the search of an accurate definition and related targets. Recent work leads us to consider that the within-subject variability of HbA1c calculated from consecutive determinations of HbA1c at regular time-intervals could be the most relevant index for assessing the long-term variability with a threshold value of 5% (%CV = SD of HbA1c/mean HbA1c) to separate stability from lability of HbA1c. Presently, no one can deny that short- and long-term glucose variability should be maintained within their lower ranges to limit the incidence of hypoglycaemia. Usually, therapeutic strategies aimed at reducing post-meal glucose excursions, i.e. the major contributor to daily glucose fluctuations, exert a beneficial effect on the short-term glucose variability. This explains the effectiveness of adjunct therapies with either GLP- receptor agonists or SGLT inhibitors in type 2 diabetes. In type 1 diabetes, the application of a CGM device alone reduces the short-term glycaemic variability. In contrast, sophisticated insulin delivery does not necessarily lead to such reductions despite marked downward shifts of 24-hour glycaemic profiles. Such contrasting observations raise the question as to whether the prolonged wear of CGM devices is or not the major causative factor for improvement in glucose variability among intensively insulin-treated persons with type 1 diabetes.
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Wang JS, Lee IT, Lee WJ, Lin SD, Su SL, Tu ST, Lin SY, Sheu WHH. The dawn phenomenon in type 2 diabetes: its association with glucose excursions and changes after oral glucose-lowering drugs. Ther Adv Chronic Dis 2021; 12:20406223211033674. [PMID: 34394904 PMCID: PMC8361546 DOI: 10.1177/20406223211033674] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 07/01/2021] [Indexed: 11/16/2022] Open
Abstract
Background: We investigated the association between glucose excursions and the dawn phenomenon, and the effects of oral-glucose lowering drugs on the dawn phenomenon in patients with type 2 diabetes (T2D). Methods: We conducted a post hoc analysis using data from a previous randomized trial. Patients with T2D on metformin monotherapy were randomized to receive add-on acarbose or glibenclamide for 16 weeks. Ambulatory continuous glucose monitoring (CGM) was conducted before randomization and at the end of the study. Using the CGM data, we assessed glucose excursions as indicated by mean amplitude of glycemic excursions (MAGE). The magnitude of the dawn phenomenon was calculated as the difference between the nocturnal nadir (0:00 to 6:00 a.m.) and prebreakfast glucose level. Results: A total of 50 patients with T2D [mean age 53.5 ± 8.2 years, mean glycated hemoglobin (HbA1c) 8.4 ± 1.2%] were analyzed. There was an independent association between MAGE and the dawn phenomenon [β coefficient 0.199, 95% confidence interval (CI) 0.074–0.325, p = 0.003]. HbA1c improved significantly after treatment with acarbose or glibenclamide. However, only treatment with acarbose significantly improved glucose excursions. The dawn phenomenon decreased significantly only in patients treated with acarbose (from 35.9 ± 15.7–28.3 ± 16.5 mg/dl, p = 0.037), but not in those treated with glibenclamide (from 35.9 ± 20.6–34.6 ± 17.0 mg/dl, p = 0.776). Conclusion: Glucose excursions were independently associated with the dawn phenomenon in patients with T2D on metformin monotherapy. Both glucose excursions and the dawn phenomenon improved after treatment with acarbose, but not after treatment with glibenclamide.
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Affiliation(s)
- Jun-Sing Wang
- Department of Medicine, School of Medicine, National Yang Ming Chiao Tung University, Taipei Rong Hsing Research Center for Translational Medicine, Institute of Biomedical Science, College of Life Science, National Chung Hsing University, Taichung Ph.D. Program in Translational Medicine, National Chung Hsing University, Taichung
| | - I-Te Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung Department of Medicine, School of Medicine, National Yang Ming Chiao Tung University, Taipei Department of Medicine, School of Medicine, Chung Shan Medical University, Taichung
| | - Wen-Jane Lee
- Department of Medical Research, Taichung Veterans General Hospital, Taichung
| | - Shi-Dou Lin
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Chang-Hua Christian Hospital, Chang-Hua
| | - Shih-Li Su
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Chang-Hua Christian Hospital, Chang-Hua
| | - Shih-Te Tu
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Chang-Hua Christian Hospital, Chang-Hua
| | - Shih-Yi Lin
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung Department of Medicine, School of Medicine, National Yang Ming Chiao Tung University, Taipei
| | - Wayne Huey-Herng Sheu
- Division of Endocrinology and Metabolism, Taipei Veterans General Hospital, Taipei Department of Medicine, School of Medicine, National Yang Ming Chiao Tung University, Taipei Institute of Medical Technology, College of Life Science, National Chung Hsing University, Taichung
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Glucose variability and diabetes complications: Risk factor or biomarker? Can we disentangle the "Gordian Knot"? DIABETES & METABOLISM 2021; 47:101225. [PMID: 33454438 DOI: 10.1016/j.diabet.2021.101225] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Accepted: 01/05/2021] [Indexed: 12/27/2022]
Abstract
« Variability in glucose homoeostasis » is a better description than « glycaemic variability » as it encompasses two categories of dysglycaemic disorders: i) the short-term daily glucose fluctuations and ii) long-term weekly, monthly or quarterly changes in either HbA1c, fasting or postprandial plasma glucose. Presently, the relationship between the "variability in glucose homoeostasis" and diabetes complications has never been fully clarified because studies are either observational or limited to retrospective analysis of trials not primarily designed to address this issue. Despite the absence of definitive evidence from randomized controlled trials (RCTs), it is most likely that acute and long-term glucose homoeostasis "cycling", akin to weight and blood pressure "cycling" in obese and hypertensive individuals, are additional risk factors for diabetes complications in the presence of sustained ambient hyperglycaemia. As hypoglycaemic events are strongly associated with short- and long-term glucose variability, two relevant messages can be formulated. Firstly, due consideration should be given to avoid within-day glucose fluctuations in excess of 36% (coefficient of variation) at least for minimizing the inconvenience and dangers associated with hypoglycaemia. Secondly, it seems appropriate to consider that variability in glucose homoeostasis is not only associated with cardiovascular events but is also a causative risk factor via hypoglycaemic episodes as intermediary step. Untangling the" Gordian Knot", to provide confirmation about the impact of variability in glucose homoeostasis and diabetes complications remains a daunting prospect.
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Valente T, Arbex AK. Glycemic Variability, Oxidative Stress, and Impact on Complications Related to Type 2 Diabetes Mellitus. Curr Diabetes Rev 2021; 17:e071620183816. [PMID: 32674737 DOI: 10.2174/1573399816666200716201550] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2020] [Revised: 07/01/2020] [Accepted: 07/03/2020] [Indexed: 11/22/2022]
Abstract
Chronic hyperglycemia is an established risk factor for the development of complications in both type 1 and type 2 diabetes, but glycemic variability has emerged as a possible independent risk factor for diabetes complications, possibly through oxidative stress. In this review, methods to access glycemic variability and oxidative stress, as well as their correlations, are discussed. Non-pharmacological and pharmacological strategies are also debated to achieve better glycemic control, not only by HbA1c target but also with reduced glycemic fluctuations, possibly minimizing the risk of diabetes complications.
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Affiliation(s)
- Tatiana Valente
- Division of Endocrinology, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
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Ceriello A, Monnier L, Owens D. Glycaemic variability in diabetes: clinical and therapeutic implications. Lancet Diabetes Endocrinol 2019; 7:221-230. [PMID: 30115599 DOI: 10.1016/s2213-8587(18)30136-0] [Citation(s) in RCA: 314] [Impact Index Per Article: 62.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2017] [Revised: 04/15/2018] [Accepted: 04/17/2018] [Indexed: 12/11/2022]
Abstract
Glycaemic variability is an integral component of glucose homoeostasis. Although it has not yet been definitively confirmed as an independent risk factor for diabetes complications, glycaemic variability can represent the presence of excess glycaemic excursions and, consequently, the risk of hyperglycaemia or hypoglycaemia. Glycaemic variability is currently defined by a large and increasing number of metrics, representing either short-term (within-day and between-day variability) or long-term glycaemic variability, which is usually based on serial measurements of HbA1c or other measures of glycaemia over a longer period of time. In this Review, we discuss recent evidence examining the association between glycaemic variability and diabetes-related complications, as well as non-pharmacological and pharmacological strategies currently available to address this challenging aspect of diabetes management.
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Affiliation(s)
- Antonio Ceriello
- Institut d'Investigacions Biomèdiques August Pi I Sunyer and Centro de Investigación Biomedica en Red de Diabetes y Enfermedades Metabólicas Asociadas, Barcelona, Spain; Department of Cardiovascular and Metabolic Diseases, Istituto Ricerca Cura Carattere Scientifico Multimedica, Sesto San Giovanni, Italy.
| | - Louis Monnier
- Institute of Clinical Research, University of Montpellier, Montpellier, France
| | - David Owens
- Diabetes Research Group, Institute of Life Sciences, Swansea University, Swansea, UK
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Bowering K, Case C, Harvey J, Reeves M, Sampson M, Strzinek R, Bretler DM, Bang RB, Bode BW. Faster Aspart Versus Insulin Aspart as Part of a Basal-Bolus Regimen in Inadequately Controlled Type 2 Diabetes: The onset 2 Trial. Diabetes Care 2017; 40:951-957. [PMID: 28483786 DOI: 10.2337/dc16-1770] [Citation(s) in RCA: 82] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2016] [Accepted: 04/14/2017] [Indexed: 02/03/2023]
Abstract
OBJECTIVE This multicenter, double-blind, treat-to-target, phase 3 trial evaluated the efficacy and safety of fast-acting insulin aspart (faster aspart) versus insulin aspart (IAsp) in adults with type 2 diabetes receiving basal insulin and oral antidiabetic agents. RESEARCH DESIGN AND METHODS: The primary end point was HbA1c change from baseline after 26 weeks' treatment. After an 8-week run-in to optimize basal insulin, subjects were randomized (1:1) to mealtime faster aspart (n = 345) or IAsp (n = 344), titrated using a simple daily patient-driven algorithm, plus insulin glargine U100 and metformin. RESULTS HbA1c change was -1.38% (faster aspart) and -1.36% (IAsp); mean HbA1c was 6.6% for both groups. Faster aspart demonstrated noninferiority versus IAsp in reducing HbA1c (estimated treatment difference [ETD] [95% CI] -0.02% [-0.15; 0.10]). Both treatments improved postprandial plasma glucose (PPG) control; the PPG increment (liquid meal test) was statistically significant in favor of faster aspart after 1 h (ETD [95% CI] -0.59 mmol/L [-1.09; -0.09]; -10.63 mg/dL [-19.56; -1.69]; P = 0.0198), but not after 2-4 h. Change from baseline in fasting plasma glucose, body weight, and overall severe/blood glucose-confirmed hypoglycemia rates (rate ratio [RR] [95% CI] 1.09 [0.88; 1.36]) were similar between treatments. Postmeal hypoglycemia (0-2 h) rates were 2.27 (faster aspart) and 1.49 (IAsp) per patient-year of exposure (RR [95% CI] 1.60 [1.13; 2.27]). CONCLUSIONS Faster aspart and IAsp were confirmed noninferior in a basal-bolus regimen regarding change from baseline in HbA1c. Faster aspart improved 1-h PPG with no differences in 2-4-h PPG versus IAsp. Overall hypoglycemia rates were similar except for an increase in 0-2-h postmeal hypoglycemia with faster aspart.
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Affiliation(s)
- Keith Bowering
- Division of Endocrinology and Metabolism, University of Alberta, Edmonton, Alberta, Canada
| | | | - John Harvey
- Gladstone Centre, Maelor Hospital, Bangor University, Wrexham, U.K
| | | | - Michael Sampson
- Diabetes, Endocrinology and General Medicine, Norfolk and Norwich University Hospitals NHS Foundation Trust, Norwich, U.K
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Raccah D, Chou E, Colagiuri S, Gaàl Z, Lavalle F, Mkrtumyan A, Nikonova E, Tentolouris N, Vidal J, Davies M. A global study of the unmet need for glycemic control and predictor factors among patients with type 2 diabetes mellitus who have achieved optimal fasting plasma glucose control on basal insulin. Diabetes Metab Res Rev 2017; 33:e2858. [PMID: 27606888 PMCID: PMC5347910 DOI: 10.1002/dmrr.2858] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2015] [Revised: 05/13/2016] [Accepted: 09/04/2016] [Indexed: 12/14/2022]
Abstract
BACKGROUND This study used data from different sources to identify the extent of the unmet need for postprandial glycemic control in patients with type 2 diabetes mellitus (T2DM) after the initiation of basal insulin therapy in Europe, Asia Pacific, the United States, and Latin America. METHODS Different levels of evidence were used as available for each country/region, with data extracted from seven randomized controlled trials (RCTs), three clinical trial registries (CTRs), and three electronic medical record (EMR) databases. Glycemic status was categorized as "well controlled" (glycated hemoglobin [HbA1c ] at target [<7%]), "residual hyperglycemia" (fasting plasma glucose [FPG] but not HbA1c at target [FPG <7.2/7.8 mmol/L, <130/140 mg/dL, depending on country-specific recommendations]), or "uncontrolled" (both FPG and HbA1c above target). Predictor factors were identified from the RCT data set using logistic regression analysis. RESULTS RCT data showed that 16.9% to 28.0%, 42.7% to 54.4%, and 16.9% to 38.1% of patients with T2DM had well-controlled glycemia, residual hyperglycemia, and uncontrolled hyperglycemia, respectively. In CTRs, respective ranges were 21.8% to 33.6%, 31.5% to 35.6%, and 30.7% to 46.8%, and in EMR databases were 4.4% to 21.0%, 23.9% to 31.8%, and 53.6% to 63.8%. Significant predictor factors of residual hyperglycemia identified from RCT data included high baseline HbA1c (all countries/regions except Brazil), high baseline FPG (United Kingdom/Japan), longer duration of diabetes (Brazil), and female sex (Europe/Latin America). CONCLUSIONS Irrespective of intrinsic differences between data sources, 24% to 54% of patients with T2DM globally had residual hyperglycemia with HbA1c not at target, despite achieving FPG control, indicating a significant unmet need for postprandial glycemic control.
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Affiliation(s)
- Denis Raccah
- Department of DiabetologyUniversity Hospital Sainte‐MargueriteMarseilleFrance
| | | | | | - Zsolt Gaàl
- Department of MedicineAndrás Jósa Teaching HospitalNyíregyházaHungary
| | - Fernando Lavalle
- Servicio de Endocrinología, Facultad de Medicina UANLHospital UniversitarioMonterreyNLMexico
| | - Ashot Mkrtumyan
- Moscow State Medical and Stomatological University named after EvdokimovMoscowRussian Federation
| | | | | | - Josep Vidal
- Endocrinology and Nutrition DepartmentHospital ClinicBarcelonaSpain
| | - Melanie Davies
- Diabetes Research CentreUniversity of LeicesterLeicesterUnited Kingdom
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Madsbad S. Impact of postprandial glucose control on diabetes-related complications: How is the evidence evolving? J Diabetes Complications 2016; 30:374-85. [PMID: 26541075 DOI: 10.1016/j.jdiacomp.2015.09.019] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2015] [Revised: 09/30/2015] [Accepted: 09/30/2015] [Indexed: 12/14/2022]
Abstract
Conflicting findings in the literature and lack of long-term definitive outcome studies have led to difficulty in drawing conclusions about the role of postprandial hyperglycemia in diabetes and its complications. Recent scientific publications support the role of postprandial glucose (PPG) as a key contributor to overall glucose control and a predictor of microvascular and macrovascular events. However, the need remains for definitive evidence to support the precise relationship between PPG excursions and the development and progression of cardiovascular complications of diabetes. Drawing firm conclusions on the relationship between PPG and microvascular and macrovascular complications is challenged by the absence of antidiabetic agents that can specifically exert their action on PPG alone, without a basal glucose-lowering effect. Areas under investigation include interventions that more closely approximate 'normal' physiological postprandial responses, as well as technologies that advance the mode of insulin delivery or optimize methods to sense glycemic levels and variation. In conclusion, the precise role of postprandial hyperglycemia in relation to development of diabetic complications is unclarified and is one of the remaining unanswered questions in diabetes. Nevertheless, current evidence supports PPG control as an important strategy to consider in the comprehensive management plan of individuals with diabetes.
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Affiliation(s)
- Sten Madsbad
- Department of Endocrinology, Hvidovre University Hospital, University of Copenhagen, Denmark.
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Monnier L, Colette C, Dejager S, Owens DR. Near normal HbA1c with stable glucose homeostasis: the ultimate target/aim of diabetes therapy. Rev Endocr Metab Disord 2016; 17:91-101. [PMID: 26803295 DOI: 10.1007/s11154-016-9325-8] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Achieving near normal glucose homeostasis implies that all components of dysglycemia that are present in diabetes states be eliminated. Reducing ambient/overall hyperglycemia is a pre-requisite to eliminate the risk of development and progression of diabetes complications. More controversially however, are the relative and related contributions of postprandial glucose excursions, glucose variability, hypoglycemia and the dawn phenomenon across the spectrum of dysglycemia. For instance, it is likely that the dawn phenomenon contributes to ambient hyperglycemia and that postprandial glucose excursions are at the cross road of ambient hyperglycemia and glucose variability with glucose fluctuations as causative risk factors for hypoglycemia. Proof-of-concept trials such as the ongoing FLAT-SUGAR study are necessary for gaining further insight into the possible harmful effects of some of these features such as excessive glycemic variability and glucose excursions, still considered to be of minor relevance by several diabetologists. Whether their role will be more thoroughly proven through further intervention trials with "hard" endpoints, remains to be seen. In the meantime more consideration should be given to medications aimed at concomitantly reducing ambient/overall hyperglycemia and those additional abnormal glycemic features of dysglycemia.
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Affiliation(s)
- L Monnier
- Institute of Clinical Research, University of Montpellier, 641 Avenue Doyen Giraud, 34093 Cedex 5, Montpellier, France.
| | - C Colette
- Institute of Clinical Research, University of Montpellier, 641 Avenue Doyen Giraud, 34093 Cedex 5, Montpellier, France
| | - S Dejager
- Department of Endocrinology, Hospital Pitié Salpétrière, Paris, France
| | - D R Owens
- Diabetes Research Group, Swansea University, Swansea, UK
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12
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Monnier L, Colette C. Using the respective contributions of postprandial and basal glucose for tailoring treatments in type 2 diabetes. DIABETES & METABOLISM 2015; 41:179-82. [DOI: 10.1016/j.diabet.2015.03.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/12/2015] [Accepted: 03/17/2015] [Indexed: 12/27/2022]
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