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De Block C, Cheng AYY, Anil G, D'Cruz JM, Ginovker A. Perspectives and Behaviors of People with Diabetes toward Time in Range and Glucose Control in Diabetes Management: An Online Survey. Diabetes Ther 2024:10.1007/s13300-024-01603-9. [PMID: 38861136 DOI: 10.1007/s13300-024-01603-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Accepted: 05/01/2024] [Indexed: 06/12/2024] Open
Abstract
INTRODUCTION This study assessed experiences, attitudes, and behaviors of people with diabetes (PwD) regarding diabetes self-management and glucose control, and their level of awareness, knowledge, and attitudes toward time in range (TIR). METHODS This quantitative survey was conducted using an online questionnaire across seven countries. Respondents were PwD classified into three subgroups: type 1 (T1), type 2 insulin (T2 insulin), and type 2 not on insulin (T2 N/insulin). RESULTS Respondents included 621 people in the T1, 780 people in the T2 insulin, and 735 people in the T2 N/insulin subgroups. Awareness of TIR was low, particularly in the T2 N/insulin subgroup (T1 53%, T2 insulin 29%, T2 N/insulin 9%). Despite a lower current use of continuous glucose monitoring (CGM) among the T2 insulin and T2 N/insulin participants (38% and 9%, respectively), versus T1 participants (64%), most (> 70%) were positive toward utilizing new tools and measures to self-manage blood glucose. Recommendations from their healthcare professionals (HCPs) were cited as a strong motivator to try new measures for analyzing glucose levels. The main barriers cited were limited access to CGM and lack of understanding of TIR benefits. Cost was the main reason given by ≥ 40% of respondents for stopping CGM use. CONCLUSIONS There is an unmet need in diabetes management, and TIR and CGM offer a potential solution. PwD are motivated to manage their blood glucose levels and are positive toward utilizing new tools and measures to achieve this goal. HCPs play a pivotal role in informing and guiding PwD on new measures for analyzing glucose.
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Affiliation(s)
- Christophe De Block
- Laboratory of Experimental Medicine and Paediatrics, Member of the Infla-Med Center of Excellence, Faculty of Medicine & Health Science, University of Antwerp, Antwerp, Belgium.
- Department of Endocrinology, Diabetology and Metabolism, Faculty of Medicine and Health Sciences, University Hospital Antwerp, University of Antwerp, Drie Eikenstraat 655, 2650, Edegem, Belgium.
| | - Alice Y Y Cheng
- Trillium Health Partners and Unity Health, University of Toronto, Toronto, ON, Canada
| | - Gayathri Anil
- Global Medical Affairs, Global Business Services, Novo Nordisk Service Centre India Private Limited, Bengaluru, India
| | - John M D'Cruz
- Global Medical Affairs, Global Business Services, Novo Nordisk Service Centre India Private Limited, Bengaluru, India
| | - Anna Ginovker
- The Harris Poll, Princeton, NJ, USA
- Atomik Research, Bentonville, AR, USA
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2
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Zhang L, Sun XX, Tian QS. Research progress on the association between glycemic variability index derived from CGM and cardiovascular disease complications. Acta Diabetol 2024; 61:679-692. [PMID: 38467807 DOI: 10.1007/s00592-024-02241-0] [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: 11/23/2023] [Accepted: 01/13/2024] [Indexed: 03/13/2024]
Abstract
Currently, glycated hemoglobin A1c (HbA1c) has been widely used to assess the glycemic control of patients with diabetes. However, HbA1c has certain limitations in describing both short-term and long-term glycemic control. To more accurately evaluate the glycemic control of diabetes patients, the continuous glucose monitoring (CGM) technology has emerged. CGM technology can provide robust data on short-term glycemic control and introduce new monitoring parameters such as time in range, time above range, and time below range as indicators of glycemic fluctuation. These indicators are used to describe the changes in glycemic control after interventions in clinical research or treatment modifications in diabetes patient care. Recent studies both domestically and internationally have shown that these indicators are not only associated with microvascular complications of diabetes mellitus but also closely related to cardiovascular disease complications and prognosis. Therefore, this article aims to comprehensively review the association between CGM-based glycemic parameters and cardiovascular disease complications by analyzing a large number of domestic and international literature. The purpose is to provide scientific evidence and guidance for the standardized application of these indicators in clinical practice, in order to better evaluate the glycemic control of diabetes patients and prevent the occurrence of cardiovascular disease complications. This research will contribute to improving the quality of life for diabetes patients and provide important references for clinical decision-making.
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Affiliation(s)
- Lei Zhang
- The 1st Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330000, China
- Cardiovascular Medicine Department, The 1st Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330000, China
| | - Xiao-Xuan Sun
- School of Nursing, Jiangxi Medical College, Nanchang University, Nanchang, 330000, China.
- Nursing Department, The 1st Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330000, China.
| | - Qing-Shan Tian
- Cardiovascular Medicine Department, The 1st Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330000, China.
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Varas N, Grabowski R, Jarosinski MA, Tai N, Herzog RI, Ismail-Beigi F, Yang Y, Cherrington AD, Weiss MA. Ultra-stable insulin-glucagon fusion protein exploits an endogenous hepatic switch to mitigate hypoglycemic risk. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.20.594997. [PMID: 38826486 PMCID: PMC11142066 DOI: 10.1101/2024.05.20.594997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2024]
Abstract
The risk of hypoglycemia and its serious medical sequelae restrict insulin replacement therapy for diabetes mellitus. Such adverse clinical impact has motivated development of diverse glucose-responsive technologies, including algorithm-controlled insulin pumps linked to continuous glucose monitors ("closed-loop systems") and glucose-sensing ("smart") insulins. These technologies seek to optimize glycemic control while minimizing hypoglycemic risk. Here, we describe an alternative approach that exploits an endogenous glucose-dependent switch in hepatic physiology: preferential insulin signaling (under hyperglycemic conditions) versus preferential counter-regulatory glucagon signaling (during hypoglycemia). Motivated by prior reports of glucagon-insulin co-infusion, we designed and tested an ultra-stable glucagon-insulin fusion protein whose relative hormonal activities were calibrated by respective modifications; physical stability was concurrently augmented to facilitate formulation, enhance shelf life and expand access. An N-terminal glucagon moiety was stabilized by an α-helix-compatible Lys 13 -Glu 17 lactam bridge; A C-terminal insulin moiety was stabilized as a single chain with foreshortened C domain. Studies in vitro demonstrated (a) resistance to fibrillation on prolonged agitation at 37 °C and (b) dual hormonal signaling activities with appropriate balance. Glucodynamic responses were monitored in rats relative to control fusion proteins lacking one or the other hormonal activity, and continuous intravenous infusion emulated basal subcutaneous therapy. Whereas efficacy in mitigating hyperglycemia was unaffected by the glucagon moiety, the fusion protein enhanced endogenous glucose production under hypoglycemic conditions. Together, these findings provide proof of principle toward a basal glucose-responsive insulin biotechnology of striking simplicity. The fusion protein's augmented stability promises to circumvent the costly cold chain presently constraining global insulin access. Significance Statement The therapeutic goal of insulin replacement therapy in diabetes is normalization of blood-glucose concentration, which prevents or delays long-term complications. A critical barrier is posed by recurrent hypoglycemic events that results in short- and long-term morbidities. An innovative approach envisions co-injection of glucagon (a counter-regulatory hormone) to exploit a glycemia-dependent hepatic switch in relative hormone responsiveness. To provide an enabling technology, we describe an ultra-stable fusion protein containing insulin- and glucagon moieties. Proof of principle was obtained in rats. A single-chain insulin moiety provides glycemic control whereas a lactam-stabilized glucagon extension mitigates hypoglycemia. This dual-hormone fusion protein promises to provide a basal formulation with reduced risk of hypoglycemia. Resistance to fibrillation may circumvent the cold chain required for global access.
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Greco S, Salatiello A, De Motoli F, Giovine A, Veronese M, Cupido MG, Pedarzani E, Valpiani G, Passaro A. Pre-hospital glycemia as a biomarker for in-hospital all-cause mortality in diabetic patients - a pilot study. Cardiovasc Diabetol 2024; 23:153. [PMID: 38702769 PMCID: PMC11069282 DOI: 10.1186/s12933-024-02245-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Accepted: 04/22/2024] [Indexed: 05/06/2024] Open
Abstract
BACKGROUND Type 2 Diabetes Mellitus (T2DM) presents a significant healthcare challenge, with considerable economic ramifications. While blood glucose management and long-term metabolic target setting for home care and outpatient treatment follow established procedures, the approach for short-term targets during hospitalization varies due to a lack of clinical consensus. Our study aims to elucidate the impact of pre-hospitalization and intra-hospitalization glycemic indexes on in-hospital survival rates in individuals with T2DM, addressing this notable gap in the current literature. METHODS In this pilot study involving 120 hospitalized diabetic patients, we used advanced machine learning and classical statistical methods to identify variables for predicting hospitalization outcomes. We first developed a 30-day mortality risk classifier leveraging AdaBoost-FAS, a state-of-the-art ensemble machine learning method for tabular data. We then analyzed the feature relevance to identify the key predictive variables among the glycemic and routine clinical variables the model bases its predictions on. Next, we conducted detailed statistical analyses to shed light on the relationship between such variables and mortality risk. Finally, based on such analyses, we introduced a novel index, the ratio of intra-hospital glycemic variability to pre-hospitalization glycemic mean, to better characterize and stratify the diabetic population. RESULTS Our findings underscore the importance of personalized approaches to glycemic management during hospitalization. The introduced index, alongside advanced predictive modeling, provides valuable insights for optimizing patient care. In particular, together with in-hospital glycemic variability, it is able to discriminate between patients with higher and lower mortality rates, highlighting the importance of tightly controlling not only pre-hospital but also in-hospital glycemic levels. CONCLUSIONS Despite the pilot nature and modest sample size, this study marks the beginning of exploration into personalized glycemic control for hospitalized patients with T2DM. Pre-hospital blood glucose levels and related variables derived from it can serve as biomarkers for all-cause mortality during hospitalization.
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Affiliation(s)
- Salvatore Greco
- Department of Translational Medicine and for Romagna, University of Ferrara, Via Luigi Borsari, 46, 46 - 44121, Ferrara, Ferrara, Italy
- Medical Department, Azienda Unità Sanitaria Locale di Ferrara, Delta Hospital, Via Valle Oppio, 2, 44023, Lagosanto, Ferrara, Italy
| | - Alessandro Salatiello
- Department of Computer Science, University of Tübingen, Geschwister-Scholl-Platz, 72074, Tübingen, Germany
| | - Francesco De Motoli
- Local Health Unit of Ferrara, Medical Direction, Via Cassoli, 30, 44121, Ferrara, Italy
| | - Antonio Giovine
- Medical Department, Azienda Unità Sanitaria Locale di Ferrara, Delta Hospital, Via Valle Oppio, 2, 44023, Lagosanto, Ferrara, Italy
| | - Martina Veronese
- Research and Innovation Unit, Azienda-Ospedaliero Universitaria di Ferrara, Via Aldo Moro, 8, 44124, Cona, Ferrara, Italy
| | - Maria Grazia Cupido
- Long-term Care, Azienda Unità Sanitaria Locale di Ferrara, Delta Hospital, Via Valle Oppio, 2, 44023, Lagosanto, Ferrara, Italy
| | - Emma Pedarzani
- Research and Innovation Unit, Azienda-Ospedaliero Universitaria di Ferrara, Via Aldo Moro, 8, 44124, Cona, Ferrara, Italy
| | - Giorgia Valpiani
- Research and Innovation Unit, Azienda-Ospedaliero Universitaria di Ferrara, Via Aldo Moro, 8, 44124, Cona, Ferrara, Italy
| | - Angelina Passaro
- Department of Translational Medicine and for Romagna, University of Ferrara, Via Luigi Borsari, 46, 46 - 44121, Ferrara, Ferrara, Italy.
- Medical Dapartment, Azienda-Ospedaliero Universitaria di Ferrara, Via Aldo Moro, 8, 44124, Cona, Ferrara, Italy.
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Mochizuki S, Miura J, Takagi S, Takita M, Takaike H, Babazono T. Impact of the State of Emergency Declaration for Severe Acute Respiratory Syndrome Coronavirus-2 Pandemic Suppression on Individuals with Type 1 Diabetes Mellitus. Intern Med 2024; 63:1197-1205. [PMID: 38369358 PMCID: PMC11116012 DOI: 10.2169/internalmedicine.2703-23] [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: 08/03/2023] [Accepted: 12/18/2023] [Indexed: 02/20/2024] Open
Abstract
Objective To examine the impact of lifestyle changes caused by the first emergency declaration issued in 2020 on glycemic control and body weight changes in Japanese individuals with type 1 diabetes mellitus. Methods This study included Japanese individuals with type 1 diabetes mellitus who visited Tokyo Women's Medical University Hospital between January 2019 and September 2020 (n=278). Seasonal changes in glycated hemoglobin (HbA1c) levels and the body mass index (BMI) were compared. A self-administered questionnaire regarding changes in treatment, diet, exercise, sleep, and telecommuting was used to assess lifestyle changes. Results Although HbA1c levels decreased from winter to summer in 2019 and 2020, the annual change was slightly but significantly greater in 2020 than in 2019. Seasonal changes in the BMI between 2019 and 2020 were also significantly different. An increase in the daily insulin dose, overall blood glucose level, diurnal change in blood glucose level, and food intake were significantly associated with increased HbA1c levels. Furthermore, HbA1c levels decreased with increasing moderate physical activity and sleep duration. The change in the BMI increased with increasing insulin dose, overall high blood glucose levels, and food intake. However, an increase in moderate physical activity was associated with a decrease in the BMI. HbA1c levels were significantly lower after the first emergency declaration in individuals with type 1 diabetes mellitus than that before the emergency declaration, even after accounting for seasonal variations. Conclusion Decreased HbA1c levels were associated with a decreased food intake, increased moderate exercise, and increased sleep duration during the state of emergency. The BMI remained relatively unchanged.
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Affiliation(s)
- Shota Mochizuki
- Division of Diabetology and Metabolism, Department of Internal Medicine, Tokyo Women's Medical University School of Medicine, Japan
| | - Junnosuke Miura
- Division of Diabetology and Metabolism, Department of Internal Medicine, Tokyo Women's Medical University School of Medicine, Japan
| | - Satoshi Takagi
- Division of Diabetology and Metabolism, Department of Internal Medicine, Tokyo Women's Medical University School of Medicine, Japan
| | - Mikako Takita
- Division of Diabetology and Metabolism, Department of Internal Medicine, Tokyo Women's Medical University School of Medicine, Japan
| | - Hiroko Takaike
- Division of Diabetology and Metabolism, Department of Internal Medicine, Tokyo Women's Medical University School of Medicine, Japan
| | - Tetsuya Babazono
- Division of Diabetology and Metabolism, Department of Internal Medicine, Tokyo Women's Medical University School of Medicine, Japan
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Niskanen L, Hannula M, Kysenius K, Kaijala S, Lassenius MI, Valle TT. Trends in clinical characteristics, medication use, and glycemic control in insulin-treated patients with type 1 and type 2 diabetes in Finland in 2012-2019: Nationwide real-world evidence study. J Diabetes 2024; 16:e13491. [PMID: 38273701 PMCID: PMC11079632 DOI: 10.1111/1753-0407.13491] [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] [Received: 05/02/2023] [Revised: 09/19/2023] [Accepted: 10/10/2023] [Indexed: 01/27/2024] Open
Abstract
AIMS To describe the clinical characteristics and medication purchases of insulin-treated adults in Finland at index (January 1, 2012 or first insulin purchase) and December 31, 2019. Additionally, to describe basal insulin (BI) treatment patterns and associated changes in hemoglobin A1c (HbA1c) values. MATERIALS AND METHODS In this descriptive study using nationwide registries, we included adults with at least two reimbursed insulin purchases within 12 months of the first purchase between January 1, 2012 and December 31, 2019. We formed four study groups: type 1 diabetes (T1D) and type 2 diabetes (T2D)-diagnosed people who were further divided into prevalent or naïve users (start of insulin use before or after January 1, 2012). Insulin treatment patterns were estimated from medication purchase data and glycemic control from HbA1c results. RESULTS Out of 145 020 people included, 34 359 had T1D and 110 661 T2D. By 2019, in parallel with the adaptation of new noninsulin medications, second-generation basal insulin (BI) analogues were adopted by 45.9% and 21.1% of prevalent T1D and T2D users. At index, HbA1c target (≤53 mmol/mol) was reached by 17% and 35% of T2D naïve and prevalent users, respectively, and by 17% of T1D prevalent users. At study end, the target was reached respectively by 41%, 34%, and 22% of insulin users. Insulin initiation improved and discontinuation worsened glycemic control in T2D, with lesser effects seen after treatment gaps or switches between BIs. CONCLUSIONS Our study showed that glycemic control in insulin users has remained stable or improved between 2012 and 2019 despite aging population and in parallel with introduction of new treatment options, providing valuable insight into Finnish national diabetes care.
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Affiliation(s)
- Leo Niskanen
- Päijät‐Häme Central Hospital, Department of Internal Medicine, Lahti, Finland, Eira HospitalHelsinki Finland and University of Eastern Finland, Institute of Clinical MedicineKuopioFinland
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7
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Man T, Yu G, Zhu F, Huang Y, Wang Y, Su Y, Deng S, Pei H, Li L, Ye H, Wan Y. Antidiabetic Close Loop Based on Wearable DNA-Hydrogel Glucometer and Implantable Optogenetic Cells. JACS AU 2024; 4:1500-1508. [PMID: 38665655 PMCID: PMC11040667 DOI: 10.1021/jacsau.4c00033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 03/23/2024] [Accepted: 03/25/2024] [Indexed: 04/28/2024]
Abstract
Diabetes mellitus and its associated secondary complications have become a pressing global healthcare issue. The current integrated theranostic plan involves a glucometer-tandem pump. However, external condition-responsive insulin delivery systems utilizing rigid glucose sensors pose challenges in on-demand, long-term insulin administration. To overcome these challenges, we present a novel model of antidiabetic management based on printable metallo-nucleotide hydrogels and optogenetic engineering. The conductive hydrogels were self-assembled by bioorthogonal chemistry using oligonucleotides, carbon nanotubes, and glucose oxidase, enabling continuous glucose monitoring in a broad range (0.5-40 mM). The optogenetically engineered cells were enabled glucose regulation in type I diabetic mice via a far-red light-induced transgenic expression of insulin with a month-long avidity. Combining with a microchip-integrated microneedle patch, a prototyped close-loop system was constructed. The glucose levels detected by the sensor were received and converted by a wireless controller to modulate far-infrared light, thereby achieving on-demand insulin expression for several weeks. This study sheds new light on developing next-generation diagnostic and therapy systems for personalized and digitalized precision medicine.
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Affiliation(s)
- Tiantian Man
- School
of Mechanical Engineering, Nanjing University
of Science and Technology, Nanjing 210094, China
| | - Guiling Yu
- Institute
of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai 200241, China
| | - Fulin Zhu
- School
of Mechanical Engineering, Nanjing University
of Science and Technology, Nanjing 210094, China
| | - Yaqi Huang
- School
of Mechanical Engineering, Nanjing University
of Science and Technology, Nanjing 210094, China
| | - Yueyu Wang
- School
of Mechanical Engineering, Nanjing University
of Science and Technology, Nanjing 210094, China
| | - Yan Su
- School
of Mechanical Engineering, Nanjing University
of Science and Technology, Nanjing 210094, China
| | - Shengyuan Deng
- Key
Laboratory of Metabolic Engineering and Biosynthesis Technology of
Ministry of Industry and Information Technology, Nanjing University of Science and Technology, Nanjing 210094, China
| | - Hao Pei
- Shanghai
Key Laboratory of Green Chemistry and Chemical Processes, School of
Chemistry and Molecular Engineering, East
China Normal University, Shanghai 200241, China
| | - Li Li
- Shanghai
Key Laboratory of Green Chemistry and Chemical Processes, School of
Chemistry and Molecular Engineering, East
China Normal University, Shanghai 200241, China
| | - Haifeng Ye
- Institute
of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai 200241, China
| | - Ying Wan
- School
of Mechanical Engineering, Nanjing University
of Science and Technology, Nanjing 210094, China
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Augstein P, Heinke P, Nowak A, Salzsieder E, Kerner W. Q-Score Complements the Time in Range in the Evaluation of Short-Term Glycemic Control. J Diabetes Sci Technol 2024:19322968241246209. [PMID: 38641969 DOI: 10.1177/19322968241246209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/21/2024]
Abstract
BACKGROUND AND AIMS The Q-Score is a single-number composite metric that is constructed based on the following components: central glycemic tendency, hyperglycemia, hypoglycemia, and intra- and interday variability. Herein, we refined the Q-Score for the screening and analysis of short-term glycemic control using continuous glucose monitoring (CGM) profiles. METHODS Continuous glucose monitoring profiles were obtained from noninterventional, retrospective cross-sectional studies. The upper limit of the Q-Score component hyperglycemia' that is, the time above target range (TAR), was adjusted from 8.9 to 10 mmol/L (n = 1562 three-day-sensor profiles). A total of 302 people with diabetes mellitus treated with intermittent CGM for ≥14 days were enrolled. The time to stability was determined via correlation-based analysis. RESULTS There was a strong correlation between the Q-Scores of the two TARs, that is, 8.9 and 10 mmol/L (Q-ScoreTAR10 = -0.03 + 1.00 Q-ScoreTAR8.9, r = .997, p < .001). The times to stability of the Q-Score and TIR were 10 and 12 days, respectively. The Q-Score was correlated with fructosamine concentrations, the glucose management indicator (GMI), the time in range (TIR), and the glycemic risk index (GRI) (r = .698, .887, -.874, and .941), respectively. The number of Q-Score components above the target increased as the TIR decreased, from two (1.7 ± 0.9) in CGM profiles with a TIR between 70% and 80% to four (3.9 ± 0.5) in the majority of the CGM profiles with a TIR below 50%. A conversion matrix between the Q-Score and glycemic indices was developed. CONCLUSIONS The Q-Score is a tool for assessing short-term glycemic control. The Q-Score can be translated into clinician opinion using the GRI.
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Affiliation(s)
- Petra Augstein
- Department for Diabetology, Heart and Diabetes Center Karlsburg, Klinikum Karlsburg, Karlsburg, Germany
| | - Peter Heinke
- Institute of Diabetes "Gerhardt Katsch," Karlsburg, Germany
| | - Alexandra Nowak
- Department for Diabetology, Heart and Diabetes Center Karlsburg, Klinikum Karlsburg, Karlsburg, Germany
| | | | - Wolfgang Kerner
- Department for Diabetology, Heart and Diabetes Center Karlsburg, Klinikum Karlsburg, Karlsburg, Germany
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Deshmane AR, Muley AS. Dietary composition and time in range in population with type 2 diabetes mellitus-exploring the association using continuous glucose monitoring device. Endocrine 2024:10.1007/s12020-024-03787-3. [PMID: 38514590 DOI: 10.1007/s12020-024-03787-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Accepted: 03/14/2024] [Indexed: 03/23/2024]
Abstract
AIM To understand the association between macronutrient composition of a diet with Time in Range (TIR), Time above Range (TAR) and Time below Range (TBR) derived using a Continuous Glucose Monitoring (CGM) device for 14 days. METHODOLOGY An exploratory analysis on the baseline data of 50 Type 2 Diabetes Mellitus participants with age 25-55 years, HbA1c upto 8% and on Metformin only) enrolled for an interventional clinical trial was performed. RESULTS Participants consuming adequate carbohydrates (CHO) of 55 to 60% of total calories had better Average Blood Glucose of 142.0 ± 24.0 mg/dL with a significance of p = 0.03 and Glucose Management Indicator (GMI) of 6.6 ± 0.7% significant at p = 0.01, than those with high CHO intake >60% of the total calories, with Average Blood Glucose - 155.0 ± 13.4 mg/dL and GMI - 7.06 ± 0.4%. Similarly, TIR - 68.2 ± 5.1% and TAR - 23.0 ± 10.8% was significantly better (p = 0.00) among those consuming adequate protein (12-15%) as compared to low protein (≤ 10%) with TIR- 61.0 ± 5.1% & TAR- 32.9 ± 10.3%. A correlation (r = -0.482 & p = 0.00) and simple linear regression analysis (R² = 0.33, F = 7.72, p = 0.000) revealed that when CHO intake increases the TIR decreases whereas TAR increases (r = 0.380 & p = 0.006). We did not find any significant relation between fat intake and TIR, TAR or TBR. CONCLUSION Our results suggest that lowering CHO, while increasing protein in the diet may help improve TIR. Further in-depth studies are needed to confirm these findings.
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Affiliation(s)
- Aditi R Deshmane
- Nutrition and Dietetics Department, Symbiosis International (Deemed University), Hill Base, Lavale, Pune, Maharashtra, 412115, India
- Indian Institute of Food Science and Technology, Clinical Nutrition and Dietetics, Augrangabad, Maharashtra, 431005, India
| | - Arti S Muley
- Nutrition and Dietetics Department, Symbiosis International (Deemed University), Hill Base, Lavale, Pune, Maharashtra, 412115, India.
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Uhl S, Choure A, Rouse B, Loblack A, Reaven P. Effectiveness of Continuous Glucose Monitoring on Metrics of Glycemic Control in Type 2 Diabetes Mellitus: A Systematic Review and Meta-analysis of Randomized Controlled Trials. J Clin Endocrinol Metab 2024; 109:1119-1131. [PMID: 37987208 DOI: 10.1210/clinem/dgad652] [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: 06/23/2023] [Indexed: 11/22/2023]
Abstract
PURPOSE To provide a systematic review and meta-analysis synthesizing the findings of randomized controlled trials (RCTs) of continuous glucose monitors (CGMs) in the management of adults with type 2 diabetes mellitus (T2DM) on glucose control and clinical outcomes. METHODS MEDLINE, Embase, and Cochrane were searched for RCTs that assessed the effectiveness of real-time CGM (rt-CGM) or flash CGM (FGM) in adults (≥18 years) with T2DM that reported on at least 1 of the following outcomes: hemoglobin A1c (HbA1c), time in range, time in hyperglycemia, or time in hypoglycemia. The GRADE approach was used to assess certainty of evidence for primary outcomes. RESULTS Fourteen RCTs assessing CGM were included, with 825 patients in 9 RCTs using rt-CGM and 822 in 5 RCTs using FGM. Moderate certainty of evidence indicated that use of CGM had a modest but statistically significant reduction in HbA1c levels of about 0.32%. Our analyses of each device type separately showed similar reductions in HbA1c (0.34% and 0.33%, respectively, for rt-CGM and FGM), with trends for improvement in other glucose metrics favoring rt-CGM over self-monitored blood glucose. CONCLUSION Both rt-CGM and flash CGM led to modest but statistically significant declines in HbA1c among individuals with T2DM, with little heterogeneity in the results. However, the duration of the included RCTs was relatively short and few studies reported on important clinical outcomes, such as adverse events, emergency department use, or hospitalization. Longer term studies are needed to determine if the short-term improvements in glucose control leads to improvements in clinically important outcomes.
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Affiliation(s)
| | - Anuja Choure
- University of Arizona College of Medicine, Tucson, AZ 85724, USA
- Phoenix VA Healthcare System, Phoenix, AZ 85012, USA
| | | | | | - Peter Reaven
- Phoenix VA Healthcare System, Phoenix, AZ 85012, USA
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Gómez AM, Henao C DC, Rebolledo M, Jaramillo P PE, Muñoz V OM, Niño G LM, Yepes C CA. Determination of Time in Range Associated With HbA1c ≤7% in a Prospective Cohort of Patients With Type 1 Diabetes Using Continuous Glucose Monitoring for Three Months. J Diabetes Sci Technol 2024; 18:345-350. [PMID: 35791440 PMCID: PMC10973842 DOI: 10.1177/19322968221108424] [Citation(s) in RCA: 1] [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: 11/16/2022]
Abstract
INTRODUCTION Finding a goal of time in range (%TIR) that defines good glycemic control is necessary. Previous retrospective studies suggest good concordance between HbA1c ≤7% with a TIR >70%; however, the studies that included the largest number of patients used blood glucose measurement data with a follow-up time of less than 90 days. This study defined the TIR value that best discriminates HbA1c ≤7%. METHODS We performed a prospective study of diagnostic tests based on a cohort of patients with type 1 diabetes (T1D) treated with a hybrid closed loop (HCL) followed for three months. The ability of %TIR to distinguish patients with HbA1c ≤7% was evaluated through receiver operating characteristic curve analysis. We determined the %TIR cutoff point with the best operating characteristics. RESULTS A total of 118 patients were included (58.1% women, 47% overweight or obese, and 33% with high glycemic variability). A moderate negative correlation (R = -.54, P < .001) was found between %TIR and HbA1c. The discrimination ability was moderate, with an area under the curve of 0.7485 (95% confidence interval = 0.6608-0.8363). The cutoff point that best predicted HbA1c ≤7% was %TIR ≥75.5 (sensitivity 70%, specificity 67%). The findings were similar among those with a coefficient of variation (CV%) ≥36%. CONCLUSIONS Our data suggest that the %TIR adequately identifies patients with HbA1c ≤7%. A target of TIR ≥75%, rather than the currently recommended TIR ≥70%, may be a more suitable value for optimal glycemic control.
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Affiliation(s)
- Ana María Gómez
- Endocrinology Unit, Hospital Universitario San Ignacio, Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Diana Cristina Henao C
- Endocrinology Unit, Hospital Universitario San Ignacio, Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Martín Rebolledo
- Department of Internal Medicine, Hospital Universitario San Ignacio, Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Pablo Esteban Jaramillo P
- Endocrinology Unit, Hospital Universitario San Ignacio, Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Oscar Mauricio Muñoz V
- Department of Internal Medicine, Hospital Universitario San Ignacio, Pontificia Universidad Javeriana, Bogotá, Colombia
| | | | - Carlos Augusto Yepes C
- Endocrinology Unit, Hospital Universitario San Ignacio, Pontificia Universidad Javeriana, Bogotá, Colombia
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12
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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, Selvin E, Stanton RC, Gabbay RA. 6. Glycemic Goals and Hypoglycemia: Standards of Care in Diabetes-2024. Diabetes Care 2024; 47:S111-S125. [PMID: 38078586 PMCID: PMC10725808 DOI: 10.2337/dc24-s006] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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Ekström E, Fagher K, Tingstedt B, Rystedt J, Nilsson J, Löndahl M, Andersson B. Hyperglycemia and insulin infusion in pancreatoduodenectomy: a prospective cohort study on feasibility and impact on complications. Int J Surg 2023; 109:3770-3777. [PMID: 37720940 PMCID: PMC10720831 DOI: 10.1097/js9.0000000000000714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 08/13/2023] [Indexed: 09/19/2023]
Abstract
BACKGROUND Hyperglycemia is a risk factor for postoperative complications but its impact on outcome after pancreatoduodenectomy (PD) is scarcely studied. This prospective cohort study aimed to assess the effect of continuous insulin infusion on postoperative complications and blood glucose, as well as to evaluate the impact of hyperglycemia on complications, after PD. MATERIALS AND METHODS One hundred patients planned for PD at Skåne University Hospital, Sweden were prospectively included for perioperative continuous insulin infusion and a historic cohort of 100 patients was included retrospectively. Median blood glucose levels were calculated and data on complications were analyzed and compared between the historic cohort and the intervention group as well as between normo- and hyperglycemic patients. RESULTS Median glucose levels were significantly lower in the intervention group compared to the historic cohort up to 30 days postoperatively (median glucose 8.5 mmol/l (interquartile range 6.4-11) vs. 9.1 mmol/l (interquartile range 6.8-17) ( P =0.007)). No significant differences in complication rates were recorded between these two groups. The incidence of complications classified as Clavien ≥3 was higher in hyperglycemic patients (100 vs. 27%, P =0.024). Among hyperglycemic patients the prevalence of preoperative diabetes was higher compared to normoglycemic patients (52 vs.12%, P <0.001). In patients with a known diagnosis of diabetes, a trend, although not statistically significant, towards a lower incidence of postoperative pancreatic fistula grade B and C, as well as postpancreatectomy hemorrhage grade B and C, was seen compared to those without preoperative diabetes (6.8 vs. 14%, P =0.231 and 2.3 vs. 7.0%, P =0.238, respectively). CONCLUSION Insulin infusion in the early postoperative phase after PD is feasible in a non-ICU setting and significantly decreased blood glucose levels. The influence on complications was limited. Preoperative diabetes was a significant predictor of postoperative hyperglycemia and was associated with a lower incidence of clinically significant postoperative pancreatic fistula.
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Affiliation(s)
- Eva Ekström
- Department of Surgery, Skåne University Hospital
- Department of Clinical Sciences, Surgery, Lund University
| | - Katarina Fagher
- Department of Clinical Sciences, Surgery, Lund University
- Department of Endocrinology Skåne University Hospital
| | - Bobby Tingstedt
- Department of Surgery, Skåne University Hospital
- Department of Clinical Sciences, Surgery, Lund University
| | - Jenny Rystedt
- Department of Surgery, Skåne University Hospital
- Department of Clinical Sciences, Surgery, Lund University
| | - Johan Nilsson
- Department of Cardiothoracic Surgery, Skåne University Hospital
- Department of Translational Medicine, Lund University, Lund, Sweden
| | - Magnus Löndahl
- Department of Clinical Sciences, Surgery, Lund University
- Department of Endocrinology Skåne University Hospital
| | - Bodil Andersson
- Department of Surgery, Skåne University Hospital
- Department of Clinical Sciences, Surgery, Lund University
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14
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Li M, Liu Z, Yang X, Zhang J, Han M, Zhang Y, Liu Y. The effect of sodium-glucose cotransporter 2 inhibitors as an adjunct to insulin in patients with type 1 diabetes assessed by continuous glucose monitoring: A systematic review and meta-analysis. J Diabetes Complications 2023; 37:108632. [PMID: 37907042 DOI: 10.1016/j.jdiacomp.2023.108632] [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: 06/16/2023] [Revised: 10/07/2023] [Accepted: 10/19/2023] [Indexed: 11/02/2023]
Abstract
AIMS Patients undergoing insulin-based therapy for type 1 diabetes often experience poor glycemic control characterized by significant fluctuations. This study was undertaken to analyze the effect of sodium-glucose cotransporter 2 inhibitors (SGLT2Is), as an adjunct to insulin, on time in range (TIR) and glycemic variability in patients with type 1 diabetes, using continuous glucose monitoring (CGM). In addition, we examined which type of SGLT2I yielded a superior effect compared to others. METHODS We conducted a comprehensive search of PubMed, EMBASE, the Cochrane Library, Web of Science, and clinical trial registry websites, retrieving all eligible randomized clinical trials (RCTs) published up until February 2023. We analyzed the mean TIR, mean amplitude of glucose excursions (MAGE), mean daily glucose (MDG), diabetic ketoacidosis (DKA), standard deviation (SD), total insulin dose, and severe hypoglycemia to evaluate the efficacy and safety of SGLT2Is. A random-effects model was also employed. RESULTS This study encompassed 15 RCTs. The meta-analysis revealed that the use of SGLT2Is as an adjuvant therapy to insulin led to a significant increase in TIR (MD = 10.78, 95%CI = 9.33-12.23, I2 = 42 %, P < 0.00001) and a decrease in SD (MD = -0.38, 95%CI = -0.50 to -0.26, I2 = 0 %, P < 0.00001), MAGE (MD = -0.92, 95%CI = -1.17 to -0.67, I2 = 19 %, P < 0.00001), MDG(MD = -1.01, 95%CI = -1.32 to -0.70, I2 = 48 %, P < 0.00001), and total insulin dose (MD = -5.81, 95%CI = -7.81 to -3.82, I2 = 32 %, P < 0.00001). No significant increase was observed in the rate of severe hypoglycemia (RR = 1.04, 95 % CI = 0.76-1.43, P = 0.80). However, SGLT2I therapy was associated with increased DKA occurrence (RR = 2.79, 95 % CI = 1.42-5.48; P = 0.003, I2 = 16 %). In addition, the subgroup analyses based on the type of SGLT2Is revealed that dapagliflozin might exhibit greater efficacy compared to other SGLT2Is across most outcomes. CONCLUSIONS SGLT2Is exhibited a positive effect on improving blood glucose level fluctuations. Subgroup analysis showed that dapagliflozin appeared to have more advantages. However, giving due consideration to preventing adverse effects, particularly DKA, is paramount. REGISTRATION Prospero CRD42023408276.
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Affiliation(s)
- Mengnan Li
- Department of Endocrinology, First Hospital of Shanxi Medical University, Taiyuan, China; First Clinical Medical College, Shanxi Medical University, Taiyuan, China
| | - Zi'ang Liu
- The Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, 030032, China
| | - Xifeng Yang
- Department of Endocrinology, First Hospital of Shanxi Medical University, Taiyuan, China; First Clinical Medical College, Shanxi Medical University, Taiyuan, China
| | - Jiaxin Zhang
- Department of Endocrinology, First Hospital of Shanxi Medical University, Taiyuan, China; First Clinical Medical College, Shanxi Medical University, Taiyuan, China
| | - Minmin Han
- Department of Endocrinology, First Hospital of Shanxi Medical University, Taiyuan, China; First Clinical Medical College, Shanxi Medical University, Taiyuan, China
| | - Yi Zhang
- Department of Pharmacology, Shanxi Medical University, Taiyuan, China.
| | - Yunfeng Liu
- Department of Endocrinology, First Hospital of Shanxi Medical University, Taiyuan, China.
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15
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Bezerra MF, Neves C, Neves JS, Carvalho D. Time in range and complications of diabetes: a cross-sectional analysis of patients with Type 1 diabetes. Diabetol Metab Syndr 2023; 15:244. [PMID: 38008747 PMCID: PMC10680248 DOI: 10.1186/s13098-023-01219-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2023] [Accepted: 11/14/2023] [Indexed: 11/28/2023] Open
Abstract
BACKGROUND/ OBJECTIVE To evaluate the association of CGM parameters and HbA1c with diabetes complications in patients with Type 1 Diabetes (T1D). METHODS Patients with T1D using the CGM system Freestyle Libre were included in this analysis. The association of CGM-metrics and HbA1c with diabetes complications (any complication, microvascular complications, or macrovascular complications) was assessed using logistic regression unadjusted and adjusted for age, sex, and diabetes duration (model 1), and further adjusted for hypertension and dyslipidemia (model 2). RESULTS One hundred and sixty-one patients with T1D were included. The mean (± SD) age was 37.4 ± 13.4 years old and the median T1D duration was 17.7 ± 10.6 years. Time in range (TIR) was associated with any complication and microvascular complications in the unadjusted model and in the adjusted models. TIR was associated with retinopathy in the unadjusted model as well as in model 1, and was associated with macrovascular complications only in the unadjusted model. HbA1c was associated with any complications, microvascular complications, and retinopathy in the unadjusted model but not in the adjusted models. HbA1c was associated with macrovascular complications in the unadjusted model and in the adjusted model 1. CONCLUSIONS In this cross-sectional analysis of patients with T1D using intermittent scanned CGM, TIR, and HbA1c were associated with complications of diabetes. TIR may be a better predictor than HbA1c of any complication and microvascular complications, while HbA1c may be a better predictor of macrovascular complications.
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Affiliation(s)
- Marta Fernandes Bezerra
- Faculty of Medicine of the University of Porto, Alameda Hernâni Monteiro, Porto, 4200-319, Portugal.
| | - Celestino Neves
- Department of Endocrinology, Diabetes and Metabolism, Centro Hospitalar Universitário de São João, Porto, Portugal
- Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal
| | - João Sérgio Neves
- Faculty of Medicine of the University of Porto, Alameda Hernâni Monteiro, Porto, 4200-319, Portugal
- Department of Endocrinology, Diabetes and Metabolism, Centro Hospitalar Universitário de São João, Porto, Portugal
- Cardiovascular R&D Centre - UnIC@RISE, Department of Surgery and Physiology, Faculty of Medicine of the University of Porto, Porto, Portugal
| | - Davide Carvalho
- Faculty of Medicine of the University of Porto, Alameda Hernâni Monteiro, Porto, 4200-319, Portugal
- Department of Endocrinology, Diabetes and Metabolism, Centro Hospitalar Universitário de São João, Porto, Portugal
- Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal
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16
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Macon EL, Devore MH, Lin YK, Music MB, Wooten M, McMullen CA, Woodcox AM, Marksbury AR, Beckner Z, Patel BV, Schoeder LA, Iles AN, Fisher SJ. Current and future therapies to treat impaired awareness of hypoglycemia. Front Pharmacol 2023; 14:1271814. [PMID: 37942482 PMCID: PMC10628050 DOI: 10.3389/fphar.2023.1271814] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 10/05/2023] [Indexed: 11/10/2023] Open
Abstract
In order to achieve optimal glycemic control, intensive insulin regimes are needed for individuals with Type 1 Diabetes (T1D) and insulin-dependent Type 2 Diabetes (T2D). Unfortunately, intensive glycemic control often results in insulin-induced hypoglycemia. Moreover, recurrent episodes of hypoglycemia result in both the loss of the characteristic warning symptoms associated with hypoglycemia and an attenuated counterregulatory hormone responses. The blunting of warning symptoms is known as impaired awareness of hypoglycemia (IAH). Together, IAH and the loss of the hormonal response is termed hypoglycemia associated autonomic failure (HAAF). IAH is prevalent in up to 25% in people with T1D and up to 10% in people with T2D. IAH and HAAF increase the risk of severe hypoglycemia 6-fold and 25-fold, respectively. To reduce this risk for severe hypoglycemia, multiple different therapeutic approaches are being explored that could improve awareness of hypoglycemia. Current therapies to improve awareness of hypoglycemia include patient education and psychoeducation, the use of novel glycemic control technology, pancreas/islet transplantation, and drug therapy. This review examines both existing therapies and potential therapies that are in pre-clinical testing. Novel treatments that improve awareness of hypoglycemia, via improving the counterregulatory hormone responses or improving hypoglycemic symptom recognition, would also shed light on the possible neurological mechanisms that lead to the development of IAH. To reduce the risk of severe hypoglycemia in people with diabetes, elucidating the mechanism behind IAH, as well as developing targeted therapies is currently an unmet need for those that suffer from IAH.
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Affiliation(s)
- Erica L. Macon
- Division of Endocrinology, Diabetes and Metabolism, Department of Internal Medicine, College of Medicine, University of Kentucky, Lexington, KY, United States
| | - Micah H. Devore
- Division of Endocrinology, Diabetes and Metabolism, Department of Internal Medicine, College of Medicine, University of Kentucky, Lexington, KY, United States
| | - Yu Kuei Lin
- Division of Metabolism, Endocrinology and Diabetes, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, United States
| | - Megan B. Music
- Division of Endocrinology, Diabetes and Metabolism, Department of Internal Medicine, College of Medicine, University of Kentucky, Lexington, KY, United States
| | - Mason Wooten
- Division of Endocrinology, Diabetes and Metabolism, Department of Internal Medicine, College of Medicine, University of Kentucky, Lexington, KY, United States
| | - Colleen A. McMullen
- Division of Endocrinology, Diabetes and Metabolism, Department of Internal Medicine, College of Medicine, University of Kentucky, Lexington, KY, United States
| | - Andrea M. Woodcox
- Division of Endocrinology, Diabetes and Metabolism, Department of Internal Medicine, College of Medicine, University of Kentucky, Lexington, KY, United States
| | - Ashlee R. Marksbury
- Division of Endocrinology, Diabetes and Metabolism, Department of Internal Medicine, College of Medicine, University of Kentucky, Lexington, KY, United States
| | - Zachary Beckner
- Division of Endocrinology, Diabetes and Metabolism, Department of Internal Medicine, College of Medicine, University of Kentucky, Lexington, KY, United States
| | - Bansi V. Patel
- Division of Endocrinology, Diabetes and Metabolism, Department of Internal Medicine, College of Medicine, University of Kentucky, Lexington, KY, United States
| | - Lily A. Schoeder
- Division of Endocrinology, Diabetes and Metabolism, Department of Internal Medicine, College of Medicine, University of Kentucky, Lexington, KY, United States
| | - Ashley N. Iles
- Division of Endocrinology, Diabetes and Metabolism, Department of Internal Medicine, College of Medicine, University of Kentucky, Lexington, KY, United States
| | - Simon J. Fisher
- Division of Endocrinology, Diabetes and Metabolism, Department of Internal Medicine, College of Medicine, University of Kentucky, Lexington, KY, United States
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Aggarwal A, Kaur R. Letter to the Editor Regarding "Time in Range Estimation in Patients with Type 2 Diabetes is Improved by Incorporating Fasting and Postprandial Glucose Levels". Diabetes Ther 2023; 14:1753-1755. [PMID: 37526909 PMCID: PMC10499703 DOI: 10.1007/s13300-023-01453-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 07/18/2023] [Indexed: 08/02/2023] Open
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Shiose K, Takae RT, Hatamoto Y, Higaki Y, Uehara Y. 24-h glucose level and variability in response to carbohydrate overfeeding assessed using continuous glucose monitoring system are associated with daily carbohydrate intake. Clin Nutr ESPEN 2023; 57:166-172. [PMID: 37739652 DOI: 10.1016/j.clnesp.2023.06.042] [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: 03/21/2023] [Revised: 06/16/2023] [Accepted: 06/28/2023] [Indexed: 09/24/2023]
Abstract
BACKGROUND & AIMS The quantity gap between daily and loaded carbohydrates may affects blood glucose response to carbohydrate intake; however, no study has investigated the difference in 24-h span. This study aimed to determine differences in the 24-h glucose levels and variability in response to single-day carbohydrate overfeeding based on daily carbohydrate intake in healthy Japanese men. METHODS Twenty male college students completed a 3-day dietary record and were divided into two groups based on whether their daily carbohydrate intake exceeded the median intake (H-CHO) or not (L-CHO). Thereafter, the participants consumed a high-carbohydrate diet (carbohydrate 8.1 g/kg/d) for 1 day. The 24-h glucose levels and glucose variability (CONGA1) were measured using a continuous glucose monitoring system. RESULTS The mean daily carbohydrate intakes in the L-CHO and H-CHO groups were 3.9 ± 0.5 and 5.8 ± 0.6 g/kg/d, respectively (p < 0.001). The peak 24-h glucose level was not differ between the L-CHO group and the H-CHO group (8.0 ± 0.8 vs. 8.0 ± 1.0; p = 0.886). The mean 24-h glucose level was higher in the L-CHO group than in the H-CHO group (6.0 ± 0.3 vs. 5.6 ± 0.3 mmol/L; p = 0.010). The CONGA1 was higher in the L-CHO group than in the H-CHO group (5.40 ± 0.41 vs. 4.95 ± 0.25; p = 0.008). CONCLUSIONS Mean glucose level and glucose variability in response to carbohydrate overfeeding were high in the individuals with small daily carbohydrate intake. These findings suggest that the large quantity gap between daily and loaded carbohydrates cause worse glucose control during carbohydrate overfeeding.
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Affiliation(s)
- Keisuke Shiose
- Faculty of Education, University of Miyazaki, Miyazaki, Japan; Fukuoka University Institute for Physical Activity, Fukuoka, Japan.
| | - Rie Tomiga Takae
- Fukuoka University Institute for Physical Activity, Fukuoka, Japan; Graduate School of Sport and Health Science, Fukuoka University, Fukuoka, Japan
| | - Yoichi Hatamoto
- Fukuoka University Institute for Physical Activity, Fukuoka, Japan; Department of Nutrition and Metabolism, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan
| | - Yasuki Higaki
- Fukuoka University Institute for Physical Activity, Fukuoka, Japan; Faculty of Sports and Health Science, Fukuoka University, Fukuoka, Japan
| | - Yoshinari Uehara
- Fukuoka University Institute for Physical Activity, Fukuoka, Japan; Faculty of Sports and Health Science, Fukuoka University, Fukuoka, Japan
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Kesavadev J, Basanth A, Krishnan G, Shankar A, Sanal G, Jothydev S. Real-World User and Clinician Perspective and Experience with MiniMed™ 780G Advanced Hybrid Closed Loop System. Diabetes Ther 2023:10.1007/s13300-023-01427-z. [PMID: 37278948 PMCID: PMC10299959 DOI: 10.1007/s13300-023-01427-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Accepted: 05/18/2023] [Indexed: 06/07/2023] Open
Abstract
INTRODUCTION The advanced hybrid closed loop (AHCL) MiniMed™ 780G system changes basal insulin delivery every 5 min and auto bolus in response to sensor glucose values. We assessed the performance of the AHCL system in real-world settings for individuals with type 1 diabetes (T1DM) as well as user and clinician perspectives and satisfaction. METHODS We held two peer group discussions: one having adults with T1DM/parents of children and adolescents with T1DM to understand their experiences with the AHCL system and another with healthcare providers (HCPs). Responses from the discussions were analyzed and categorized into themes by two independent researchers, with any inconsistencies resolved by consensus. We also analyzed data from the system uploaded to CareLink personal software. Glycemic outcomes, including time in range (TIR), time below range (TBR), time above range (TAR), mean sensor glucose (SG) levels, glucose management indicator (GMI), sensor use, and percentage of time spent in AHCL, were determined. RESULTS The peer group discussions revealed numerous key themes and issues for each group, such as the significance of setting reasonable expectations, carbohydrate counting and bolus dosing, technical difficulties, and overall user experience. The users (n = 25; T1DM; 17 female; age 13.8 ± 7.49 years; A1C 6.54 ± 0.45%; duration of diabetes 6 ± 6.78 years) were very satisfied with the system. Most users experienced consistent blood glucose values with very few hypoglycemic episodes. However, there were a few limitations reported, such as hyperglycemic episodes caused by inaccuracies in carb counting, issues with sensor connectivity, and cannula blockages or kinking for those using insulin Fiasp. Users achieved a mean GMI of 6.4 ± 0.26%, TIR of 83.0 ± 8.12%, TBR (54-70 mg/dL) of 2.0 ± 0.81%, TBR* (< 54 mg/dL) of 0%. All of the users achieved a TIR of > 70%. CONCLUSION The use of the AHCL system in T1DM resulted in robust glycemic control, minimizing hypoglycemia. Providing training to both users and HCPs can help them use the system effectively.
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Affiliation(s)
- Jothydev Kesavadev
- Jothydev's Diabetes Research Center, JDC Junction, Mudavanmugal, Trivandrum, Kerala, 695032, India.
| | - Anjana Basanth
- Jothydev's Diabetes Research Center, JDC Junction, Mudavanmugal, Trivandrum, Kerala, 695032, India
| | - Gopika Krishnan
- Jothydev's Diabetes Research Center, JDC Junction, Mudavanmugal, Trivandrum, Kerala, 695032, India
| | - Arun Shankar
- Jothydev's Diabetes Research Center, JDC Junction, Mudavanmugal, Trivandrum, Kerala, 695032, India
| | - Geethu Sanal
- Jothydev's Diabetes Research Center, JDC Junction, Mudavanmugal, Trivandrum, Kerala, 695032, India
| | - Sunitha Jothydev
- Jothydev's Diabetes Research Center, JDC Junction, Mudavanmugal, Trivandrum, Kerala, 695032, India
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Gao X, Li H, Yu Y, Huai X, Feng B, Song J. Relationship Between Time in Range and Dusk Phenomenon in Outpatients with Type 2 Diabetes Mellitus. Diabetes Metab Syndr Obes 2023; 16:1637-1646. [PMID: 37304668 PMCID: PMC10257429 DOI: 10.2147/dmso.s410761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 05/25/2023] [Indexed: 06/13/2023] Open
Abstract
Purpose The dusk phenomenon refers to a spontaneous and transient pre-dinner hyperglycemia that affects glucose fluctuation and glycemic control, and the increasing use of continuous glucose monitoring (CGM) has facilitated its diagnosis. We investigated the frequency of the dusk phenomenon and its relationship with the time in range (TIR) in patients with type 2 diabetes mellitus (T2DM). Patients and Methods This study involved 102 patients with T2DM who underwent CGM for 14 days. CGM-derived metrics and clinical characteristics were evaluated. A consecutive dusk blood glucose difference (pre-dinner glucose minus 2-hour post-lunch glucose) of ≥ 0 or once-only dusk blood glucose difference of < 0 was diagnosed as the clinical dusk phenomenon (CLDP). Results We found that the percentage of CLDP was 11.76% (10.34% in men, 13.64% in women). Compared with the non-CLDP group, the CLDP group tended to be younger and have a lower percentage of TIR (%TIR3.9-10) and higher percentage of time above range (%TAR>10 and %TAR>13.9) (P ≤ 0.05). Adjusted for confounding factors, the binary logistic regression analysis showed a negative association of CLDP with %TIR (odds ratio < 1, P < 0.05). We repeated the correlation analysis based on 70%TIR and found significant differences in hemoglobin A1c, fasting blood glucose, mean blood glucose, standard deviation of the sensor glucose values, glucose coefficient of variation, largest amplitude of glycemic excursions, mean amplitude of glycemic excursions, glucose management indicator, and percentage of CLDP between the two subgroups of TIR ≤ 70% and TIR > 70% (P < 0.05). The negative association between TIR and CLDP still remained after adjustment by the binary logistic regression analysis. Conclusion The CLDP was frequently present in patients with T2DM. The TIR was significantly correlated with the CLDP and could serve as an independent negative predictor.
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Affiliation(s)
- Xiangyu Gao
- Department of Endocrinology, East Hospital, Tongji University School of Medicine, Shanghai, 200120, People’s Republic of China
| | - Hongmei Li
- Department of Endocrinology, East Hospital, Tongji University School of Medicine, Shanghai, 200120, People’s Republic of China
| | - Yuan Yu
- Department of Endocrinology, East Hospital, Tongji University School of Medicine, Shanghai, 200120, People’s Republic of China
| | - Xiaoyuan Huai
- Department of Endocrinology, East Hospital, Tongji University School of Medicine, Shanghai, 200120, People’s Republic of China
| | - Bo Feng
- Department of Endocrinology, East Hospital, Tongji University School of Medicine, Shanghai, 200120, People’s Republic of China
| | - Jun Song
- Department of Endocrinology, East Hospital, Tongji University School of Medicine, Shanghai, 200120, People’s Republic of China
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21
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Lameijer A, Bakker JJ, Kao K, Xu Y, Gans ROB, Bilo HJG, Dunn TC, van Dijk PR. Real-life 24-week changes in glycemic parameters among European users of flash glucose monitoring with type 1 and 2 diabetes and different levels of glycemic control. Diabetes Res Clin Pract 2023:110735. [PMID: 37276981 DOI: 10.1016/j.diabres.2023.110735] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 05/05/2023] [Accepted: 05/30/2023] [Indexed: 06/07/2023]
Abstract
AIM To evaluate real-life changes of glycemic parameters among flash glucose monitoring (FLASH) users who do not meet glycemic targets. METHODS De-identified data were obtained between 2014 and 2021 from patients using FLASH uninterrupted for a 24-week period. Glycemic parameters during first and last sensor use were examined in four identifiable groups: type 1 diabetes mellitus (T1DM), type 2 diabetes mellitus (T2DM) on basal-bolus insulin, T2DM on basal insulin, and T2DM without insulin treatment. Within each group, subgroup analyses were performed in persons with initial suboptimal glycemic regulation (time in range (TIR; 3.9-10 mmol/L) <70%, time above range (TAR; >10 mmol/L) >25%, or time below range (TBR; <3.9 mmol/L) >4%). RESULTS Data were obtained from 1,909 persons with T1DM and 1,813 persons with T2DM (1,499 basal-bolus insulin, 189 basal insulin, and 125 non-insulin users). In most of the performed analyses, both overall and in the various subgroups, significant improvements were observed in virtually all predefined primary (TIR) and secondary endpoints (eHbA1c, TAR, TBR and glucose variability). CONCLUSIONS 24-weeks FLASH use in real life by persons with T1DM and T2DM with suboptimal glycemic regulation is associated with improvement of glycemic parameters, irrespective of pre-use regulation or treatment modality.
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Affiliation(s)
- Annel Lameijer
- University of Groningen, University Medical Center Groningen, Department of Endocrinology, Groningen, The Netherlands
| | - Julia J Bakker
- University of Groningen, University Medical Center Groningen, Department of Endocrinology, Groningen, The Netherlands
| | | | | | - Rijk O B Gans
- University of Groningen, University Medical Center Groningen, Department of Internal Medicine, Groningen, The Netherlands
| | - Henk J G Bilo
- University of Groningen, University Medical Center Groningen, Department of Internal Medicine, Groningen, The Netherlands; Isala, Diabetes Research Center, Zwolle, The Netherlands
| | | | - Peter R van Dijk
- University of Groningen, University Medical Center Groningen, Department of Endocrinology, Groningen, The Netherlands; Isala, Diabetes Research Center, Zwolle, The Netherlands.
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22
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RoyChaudhuri S, Majumder A, Mukherjee P, Sanyal D, Chakraborty S, Chuyan S. Glycemic Control and the Weight Benefit of a Daily 7 mg Dose of Oral Semaglutide Versus an Alternate-Day 14 mg Dose of Oral Semaglutide From an Ambulatory Glucose Monitoring Data: A Retrospective Cohort Study From Eastern India. Cureus 2023; 15:e40179. [PMID: 37431351 PMCID: PMC10329815 DOI: 10.7759/cureus.40179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/09/2023] [Indexed: 07/12/2023] Open
Abstract
INTRODUCTION Oral semaglutide is a glucagon-like peptide-1 receptor agonist (GLP-1RA) class of antidiabetic medication. High costs and GI side effects are the major limitations of its widespread use. Some patients who were on a 14 mg dose of oral semaglutide self-prescribed an alternate-day schedule to mitigate GI side effects and to reduce the cost. METHODS This retrospective observational cohort study evaluates the ambulatory glucose profile (AGP) data, extrapolated glycosylated hemoglobin (HbA1C), and BMI of 11 types of 2 diabetes mellitus (T2DM) while they were on an alternate-day 14 mg dose of oral semaglutide compared to their record while on a daily 7 mg dose. The AGP metrics (time-in-range (TIR), time-below-range (TBR), and time-above-range (TAR)) along with extrapolated HbA1C and BMI were analyzed. Statistical analysis was done using SPSS Statistics version 21.0. RESULTS No statistically significant difference in the AGP metrics between the AGP profile of a daily 7 mg dose and the AGP profile of an alternate-day 14 mg dose of oral semaglutide was observed. Interestingly, a statistically significant progressive decline in BMI value was observed even on the alternate-day 14 mg dose when compared to the daily 7 mg dose. CONCLUSION In this small cohort of patients, the metrics of short-term glycemic control and the extrapolated HbA1C values were similar for the daily 7 mg dose versus the alternate-day 14 mg dose of oral semaglutide. BMI showed progressive reduction which was statistically significant even with the alternate-day 14 mg dose of oral semaglutide.
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Affiliation(s)
| | - Anirban Majumder
- Diabetes and Endocrinology, Kali Prasad Chowdhury Medical College and Hospital, Kolkata, IND
| | | | - Debmalya Sanyal
- Diabetes and Endocrinology, Kali Prasad Chowdhury Medical College and Hospital, Kolkata, IND
| | - Soma Chakraborty
- Diabetes and Endocrinology, Diabetes-Obesity-Thyroid-Hormone Clinic, Kolkata, IND
| | - Susama Chuyan
- Diabetes and Endocrinology, Adopt Endocrine, Kolkata, IND
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23
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Chan NB, Li W, Aung T, Bazuaye E, Montero RM. Machine Learning-Based Time in Patterns for Blood Glucose Fluctuation Pattern Recognition in Type 1 Diabetes Management: Development and Validation Study. JMIR AI 2023; 2:e45450. [PMID: 38875568 PMCID: PMC11041419 DOI: 10.2196/45450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/01/2023] [Revised: 02/15/2023] [Accepted: 02/24/2023] [Indexed: 06/16/2024]
Abstract
BACKGROUND Continuous glucose monitoring (CGM) for diabetes combines noninvasive glucose biosensors, continuous monitoring, cloud computing, and analytics to connect and simulate a hospital setting in a person's home. CGM systems inspired analytics methods to measure glycemic variability (GV), but existing GV analytics methods disregard glucose trends and patterns; hence, they fail to capture entire temporal patterns and do not provide granular insights about glucose fluctuations. OBJECTIVE This study aimed to propose a machine learning-based framework for blood glucose fluctuation pattern recognition, which enables a more comprehensive representation of GV profiles that could present detailed fluctuation information, be easily understood by clinicians, and provide insights about patient groups based on time in blood fluctuation patterns. METHODS Overall, 1.5 million measurements from 126 patients in the United Kingdom with type 1 diabetes mellitus (T1DM) were collected, and prevalent blood fluctuation patterns were extracted using dynamic time warping. The patterns were further validated in 225 patients in the United States with T1DM. Hierarchical clustering was then applied on time in patterns to form 4 clusters of patients. Patient groups were compared using statistical analysis. RESULTS In total, 6 patterns depicting distinctive glucose levels and trends were identified and validated, based on which 4 GV profiles of patients with T1DM were found. They were significantly different in terms of glycemic statuses such as diabetes duration (P=.04), glycated hemoglobin level (P<.001), and time in range (P<.001) and thus had different management needs. CONCLUSIONS The proposed method can analytically extract existing blood fluctuation patterns from CGM data. Thus, time in patterns can capture a rich view of patients' GV profile. Its conceptual resemblance with time in range, along with rich blood fluctuation details, makes it more scalable, accessible, and informative to clinicians.
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Affiliation(s)
- Nicholas Berin Chan
- Informatics Research Centre, Henley Business School, University of Reading, Reading, United Kingdom
| | - Weizi Li
- Informatics Research Centre, Henley Business School, University of Reading, Reading, United Kingdom
| | - Theingi Aung
- Royal Berkshire NHS Foundation Trust, Reading, United Kingdom
| | - Eghosa Bazuaye
- Royal Berkshire NHS Foundation Trust, Reading, United Kingdom
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24
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Piona C, Marigliano M, Roncarà C, Mozzillo E, Di Candia F, Zanfardino A, Iafusco D, Maltoni G, Zucchini S, Piccinno E, Delvecchio M, Passanisi S, Lombardo F, Bonfanti R, Maffeis C. Glycemia Risk Index as a novel metric to evaluate the safety of glycemic control in children and adolescents with Type 1 Diabetes: an observational, multicenter, real-life cohort study. Diabetes Technol Ther 2023. [PMID: 37155332 DOI: 10.1089/dia.2023.0040] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
Glycemia Risk Index (GRI) is a novel composite metric for the evaluation of the safety of glycemic management and control. The aim of this study was to evaluate GRI and its correlations with continuous glucose monitoring (CGM) metrics by analysing real-life CGM data in 1067 children/adolescents with type 1 Diabetes (T1D) using four different treatment strategies (intermittently scanned CGM [isCGM]-Multiple daily injections [MDI]; real time CGM [rtCGM]-MDI; rt-CGM-insulin pump [IP]; Hybrid Closed-Loop [HCL] therapy). GRI was positively correlated with High Blood Glucose Index (HBGI), Low Blood Glucose Index (LBGI), mean glycemia, its standard deviation, coefficient of variation and HbA1c. The four treatment strategies groups showed significantly different GRI with the lowest value in the HCL group (30.8) and the highest in the isCGM-MDI group (68.4). These findings support the use of GRI for the assessment of the glycemic risk and the safety of specific treatment in paediatric subjects with T1D.
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Affiliation(s)
- Claudia Piona
- Pediatric Diabetes and Metabolic Disorders Unit, Regional Center for Pediatric Diabetes, Department of Surgery, Dentistry, Pediatrics, and Gynecology, University of Verona, Verona, Italy , Verona, Italy;
| | - Marco Marigliano
- Pediatric Diabetes and Metabolic Disorders Unit, Regional Center for Pediatric Diabetes, Department of Surgery, Dentistry, Pediatrics, and Gynecology, University of Verona, Verona, Italy , Verona, Italy;
| | - Chiara Roncarà
- Pediatric Diabetes and Metabolic Disorders Unit, Regional Center for Pediatric Diabetes, Department of Surgery, Dentistry, Pediatrics, and Gynecology, University of Verona, Verona, Italy , Verona, Italy;
| | - Enza Mozzillo
- Regional Center of Pediatric Diabetes, Department of Traslational and Medical Sciences, Section of Pediatrics, Federico II University, Naples, Italy, Naples, Italy;
| | - Francesca Di Candia
- Regional Center of Pediatric Diabetes, Department of Traslational and Medical Sciences, Section of Pediatrics, Federico II University, Naples, Italy, Naples, Italy;
| | - Angela Zanfardino
- Regional Center of Pediatric Diabetology "G.Stoppoloni" - University of Campania "Luigi Vanvitelli", Naples, Italy, Napoli, Italy;
| | - Dario Iafusco
- Regional Center of Pediatric Diabetology "G.Stoppoloni" - University of Campania "Luigi Vanvitelli", Naples, Italy, Naples, Italy;
| | - Giulio Maltoni
- University Hospital of Bologna Sant'Orsola-Malpighi, Paediatric Endocrine Unit, Bologna, Italy, Bologna, Italy;
| | - Stefano Zucchini
- University Hospital of Bologna Sant'Orsola-Malpighi, Paediatric Endocrine Unit, Bologna, Italy, Bologna, Italy;
| | - Elvira Piccinno
- Metabolic Disorder and Diabetes Unit, "Giovanni XXIII" Children Hospital, Bari, Italy, Bari, Italy;
| | - Maurizio Delvecchio
- "Giovanni XXIII" Children Hospital, Metabolic Disorder and Diabetes Unit, Via Amendola 207, 278, Bari, Ba, Italy, 70126;
| | - Stefano Passanisi
- Department of Human Pathology in Adult and Developmental Age "Gaetano Barresi", University of Messina, Messina, Italy;
| | - Fortunato Lombardo
- Department of Human Pathology in Adult and Developmental Age "Gaetano Barresi", University of Messina, Italy, Messina, Italy;
| | - Riccardo Bonfanti
- Scientific Institute Hospital San Raffaele, Vita-Salute University, Department of Paediatrics, Endocrine Unit, Milan, Italy;
| | - Claudio Maffeis
- University Hospital of Verona, Pediatric Diabetes and Metabolic Disorders Unit, 1, Piazzale Stefani, Verona, VR, Italy, 37126;
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25
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Zhang S, Zhang C, Chen J, Deng F, Wu Z, Zhu D, Chen F, Duan Y, Zhao Y, Hou K. Efficacy of polyethylene glycol loxenatide versus insulin glargine on glycemic control in patients with type 2 diabetes: a randomized, open-label, parallel-group trial. Front Pharmacol 2023; 14:1171399. [PMID: 37214446 PMCID: PMC10194654 DOI: 10.3389/fphar.2023.1171399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 04/24/2023] [Indexed: 05/24/2023] Open
Abstract
Objective: This trial aimed to evaluate the glycemic control of polyethylene glycol loxenatide measured with continuous glucose monitoring (CGM) in patients with type 2 diabetes mellitus (T2DM), with the hypothesis that participants given PEG-Loxe would spend more time in time-in-range (TIR) than participants were given insulin glargine after 24 weeks of treatment. Methods: This 24-week, randomized, open-label, parallel-group study was conducted in the Department of Endocrine and Metabolic Diseases, Longhu Hospital, Shantou, China. Participants with T2DM, who were ≥45 years of age, HbA1c of 7.0%-11.0%, and treated at least 3 months with metformin were randomized (1:1) to receive PEG-Loxe or insulin glargine. The primary endpoint was TIR (blood glucose range: 3.9-10.0 mmol/L) during the last 2 weeks of treatment (weeks 22-24). Results: From March 2020 to April 2022, a total of 107 participants with T2DM were screened, of whom 78 were enrolled into the trial (n = 39 per group). At the end of treatment (weeks 22-24), participants given PEG-Loxe had a greater proportion of time in TIR compared with participants given insulin glargine [estimated treatment difference (ETD) of 13.4% (95% CI, 6.8 to 20.0, p < 0.001)]. The tight TIR (3.9-7.8 mmol/L) was greater with PEG-Loxe versus insulin glargine, with an ETD of 15.6% (95% CI, 8.9 to 22.4, p < 0.001). The time above range (TAR) was significantly lower with PEG-Loxe versus insulin glargine [ETD for level 1: -10.5% (95% CI: -14.9 to -6.0), p < 0.001; ETD for level 2: -4.7% (95% CI: -7.9 to -1.5), p = 0.004]. The time below range (TBR) was similar between the two groups. The mean glucose was lower with PEG-Loxe versus insulin glargine, with an ETD of -1.2 mmol/L (95% CI, -1.9 to -0.5, p = 0.001). The SD of CGM glucose levels was 1.88 mmol/L for PEG-Loxe and 2.22 mmol/L for insulin glargine [ETD -0.34 mmol/L (95% CI: -0.55 to -0.12), p = 0.002], with a similar CV between the two groups. Conclusion: The addition of once-weekly GLP-1RA PEG-Loxe to metformin was superior to insulin glargine in improving glycemic control and glycemic variability evaluated by CGM in middle-aged and elderly patients with T2DM.
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Affiliation(s)
- Shuo Zhang
- School of Public Health, Shantou University, Shantou, China
- Shantou University Medical College, Shantou, China
- Department of Endocrine and Metabolic Diseases, Longhu People’s Hospital, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Chuanyan Zhang
- School of Public Health, Shantou University, Shantou, China
- Department of Endocrine and Metabolic Diseases, Longhu People’s Hospital, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Jingxian Chen
- Shantou University Medical College, Shantou, China
- Department of Endocrine and Metabolic Diseases, Longhu People’s Hospital, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Feiying Deng
- Shantou University Medical College, Shantou, China
- Department of Endocrine and Metabolic Diseases, Longhu People’s Hospital, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Zezhen Wu
- Shantou University Medical College, Shantou, China
- Department of Endocrine and Metabolic Diseases, Longhu People’s Hospital, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Dan Zhu
- Department of Endocrine and Metabolic Diseases, Longhu People’s Hospital, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Fengwu Chen
- Department of Endocrine and Metabolic Diseases, Longhu People’s Hospital, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Yale Duan
- Department of Medical Affairs, Jiangsu Hansoh Pharmaceutical Group Co., Ltd., Shanghai, China
| | - Yue Zhao
- Department of Medical Affairs, Jiangsu Hansoh Pharmaceutical Group Co., Ltd., Shanghai, China
| | - Kaijian Hou
- School of Public Health, Shantou University, Shantou, China
- Shantou University Medical College, Shantou, China
- Department of Endocrine and Metabolic Diseases, Longhu People’s Hospital, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
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26
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Hansen KW, Bibby BM. Rebound Hypoglycemia and Hyperglycemia in Type 1 Diabetes. J Diabetes Sci Technol 2023:19322968231168379. [PMID: 37138541 DOI: 10.1177/19322968231168379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
AIMS The aim was to investigate rebound hypoglycemic and hyperglycemic events, and describe their relation to other glycemic metrics. METHODS Data from intermittently scanned continuous glucose monitoring were downloaded for 90 days for 159 persons with type 1 diabetes. A hypoglycemic event was defined as glucose <3.9 mmol/l for at least two 15-minute periods. Rebound hypoglycemia (Rhypo) was a hypoglycemic event preceded by glucose >10.0 mmol/l within 120 minutes and rebound hyperglycemia (Rhyper) was hypoglycemia followed by glucose >10.0 mmol/l within 120 minutes. RESULTS A total of 10 977 hypoglycemic events were identified of which 3232 (29%) were Rhypo and 3653 (33%) were Rhyper, corresponding to a median frequency of 10.1, 2.5, and 3.0 events per person/14 days. For 1267 (12%) of the cases, Rhypo and Rhyper coexisted. The mean peak glucose was 13.0 ± 1.6 mmol/l before Rhypo; 12.8 ± 1.1 mmol/l in Rhyper. The frequency of Rhyper was significantly (P < .001) correlated with Rhypo (Spearman's rho 0.84), glucose coefficient of variation (0.78), and time below range (0.69) but not with time above range (0.12, P = .13). CONCLUSIONS The strong correlation between Rhyper and Rhypo suggests an individual behavioral characteristic toward intensive correction of glucose excursions.
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Affiliation(s)
- Klavs W Hansen
- University Research Clinic for Innovative Patient Pathways, Diagnostic Centre, Silkeborg Regional Hospital, Silkeborg, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus N, Denmark
| | - Bo M Bibby
- Biostatistical Advisory Service, Faculty of Health, Aarhus University, Aarhus N, Denmark
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27
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RoyChaudhuri S, Majumder A, Sanyal D, Chakraborty S, Chuyan S. Early Insight Into the Retrospective Data of a Case Series on Type 2 Diabetes Mellitus on Alternate-Day Dosing of Oral Semaglutide: Utopia or Reality? Cureus 2023; 15:e37065. [PMID: 37153287 PMCID: PMC10155755 DOI: 10.7759/cureus.37065] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/03/2023] [Indexed: 04/05/2023] Open
Abstract
Introduction Oral semaglutide, with a long half-life of seven days, is the first oral-based peptide drug and is used as an antidiabetic for the reduction of glycosylated hemoglobin (HbA1c). Oral semaglutide, like other glucagon-like peptide-1 receptor agonists (GLP1RAs), is costly and has gastrointestinal (GI) side effects, especially with a 14 mg dose. In the real world, some type 2 diabetes mellitus (T2DM) patients on 14 mg oral dose adopt an alternate-day strategy to minimize unwanted GI symptoms. In this study, we analyzed the ambulatory glucose profile (AGP) data of patients with T2DM who were on 14 mg alternate-day oral semaglutide therapy. Methods This retrospective observational study evaluated the AGP data of 10 patients on alternate-day dosing of 14 mg oral semaglutide. The AGP data over a period of 14 days on a single group of patients were analyzed without any control group or randomization and are presented as a case series. AGP monitoring, using Freestyle Libre Pro (Abbott, Illinois, United States), is a standard operating procedure of the endocrinology department for all T2DM patients who were put on oral semaglutide therapy. The AGP data of the glycemic parameters time-in-range (TIR), time-above-range (TAR), and time-below-range (TBR), were compared between the days when oral semaglutide was consumed (days-on-drug) versus the days when oral semaglutide was not consumed (days-off-drug). The statistical analysis was done with Statistical Package for Social Sciences (SPSS) version 21.0 (IBM Corp., Armonk, NY). Results We applied the Shapiro-Wilk test (sample size <50) for normality testing; the TIR values of days-on-drug and days-off-drug showed high p values (p =0.285 and 0.109), respectively. This indicated that TIR values days-on-drug and days-off-drug were normally distributed. Although, the distribution of TAR and TBR values days-on-drug and days-off-drug, were not normal as they had small p values (p< 0.05). Hence, further analysis of the paired set of data was done using the Wilcoxon signed-rank test. It revealed no difference in TIR, TAR, and TBR between the two groups (days-on-drug and days-off-drug). Conclusion Throughout the period of observation, the glycemic metrics (TIR, TAR, and TBR) remained steady with a 14 mg alternate-day oral semaglutide regimen.
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Fishel Bartal M, Ashby Cornthwaite JA, Ghafir D, Ward C, Ortiz G, Louis A, Cornthwaite J, Chauhan SSP, Sibai BM. Time in Range and Pregnancy Outcomes in People with Diabetes Using Continuous Glucose Monitoring. Am J Perinatol 2023; 40:461-466. [PMID: 35858653 DOI: 10.1055/a-1904-9279] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
OBJECTIVE The international consensus on continuous glucose monitoring (CGM) recommends time in range (TIR) target of >70% for pregnant people. Our aim was to compare outcomes between pregnant people with TIR ≤ versus >70%. STUDY DESIGN This study was a retrospective study of all people using CGM during pregnancy from January 2017 to May 2021 at a tertiary care center. All people with pregestational diabetes who used CGM and delivered at our center were included in the analysis. Primary neonatal outcome included any of the following: large for gestational age, neonatal intensive care unit (NICU) admission, need for intravenous (IV) glucose, or respiratory distress syndrome (RDS). Maternal outcomes included hypertensive disorders of pregnancy and delivery outcomes. Logistic regression was used to estimate unadjusted and adjusted odds ratios (aORs) with 95% confidence intervals (CIs). RESULTS Of 78 people managed with CGM, 65 (80%) met inclusion criteria. While 33 people (50.1%) had TIR ≤70%, 32 (49.2%) had TIR >70%. People with TIR ≤70% were more likely to be younger, have a lower body mass index, and have type 1 diabetes than those with TIR >70%. After multivariable regression, there was no difference in the composite neonatal outcome between the groups (aOR: 0.56, 95% CI: 0.16-1.92). However, neonates of people with TIR ≤70% were more likely to be admitted to the NICU (p = 0.035), to receive IV glucose (p = 0.005), to have RDS (p = 0.012), and had a longer hospital stay (p = 0.012) compared with people with TIR >70%. Furthermore, people with TIR ≤70% were more likely to develop hypertensive disorders (p = 0.04) than those with TIR >70%. CONCLUSION In this cohort, the target of TIR >70% was reached in about one out of two people with diabetes using CGM, which correlated with a reduction in neonatal and maternal complications. KEY POINTS · Among people with diabetes, 50% reached the recommended time in range using CGM.. · Time in range >70% was associated with reducing the rate of some neonatal complications.. · Time in range ≤70% was associated with increased risk for adverse maternal outcomes..
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Affiliation(s)
- Michal Fishel Bartal
- Division of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology, and Reproductive Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, Texas
| | - Joycelyn A Ashby Cornthwaite
- Division of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology, and Reproductive Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, Texas
| | - Danna Ghafir
- Division of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology, and Reproductive Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, Texas
| | - Clara Ward
- Division of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology, and Reproductive Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, Texas
| | - Gladys Ortiz
- Division of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology, and Reproductive Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, Texas
| | - Aleaha Louis
- Division of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology, and Reproductive Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, Texas
| | - John Cornthwaite
- Department of Earth, Environmental and Planetary Science, Rice University, Houston, Texas
| | - Suneet S P Chauhan
- Division of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology, and Reproductive Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, Texas
| | - Baha M Sibai
- Division of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology, and Reproductive Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, Texas
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Friedman JG, Cardona Matos Z, Szmuilowicz ED, Aleppo G. Use of Continuous Glucose Monitors to Manage Type 1 Diabetes Mellitus: Progress, Challenges, and Recommendations. Pharmgenomics Pers Med 2023; 16:263-276. [PMID: 37025558 PMCID: PMC10072139 DOI: 10.2147/pgpm.s374663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Accepted: 02/25/2023] [Indexed: 04/08/2023] Open
Abstract
Type 1 diabetes (T1D) management has been revolutionized with the development and routine utilization of continuous glucose monitoring (CGM). CGM technology has allowed for the ability to track dynamic glycemic fluctuations and trends over time allowing for optimization of medical therapy and the prevention of dangerous hypoglycemic events. This review details currently-available real-time and intermittently-scanned CGM devices, clinical benefits, and challenges of CGM use, and current guidelines supporting its use in the clinical care of patients with T1D. We additionally describe future issues that will need to be addressed as CGM technology continues to evolve.
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Affiliation(s)
- Jared G Friedman
- Division of Endocrinology, Metabolism and Molecular Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Zulma Cardona Matos
- Division of Endocrinology, Metabolism and Molecular Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Emily D Szmuilowicz
- Division of Endocrinology, Metabolism and Molecular Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Grazia Aleppo
- Division of Endocrinology, Metabolism and Molecular Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
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30
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Karges B, Tittel SR, Bey A, Freiberg C, Klinkert C, Kordonouri O, Thiele-Schmitz S, Schröder C, Steigleder-Schweiger C, Holl RW. Continuous glucose monitoring versus blood glucose monitoring for risk of severe hypoglycaemia and diabetic ketoacidosis in children, adolescents, and young adults with type 1 diabetes: a population-based study. Lancet Diabetes Endocrinol 2023; 11:314-323. [PMID: 37004710 DOI: 10.1016/s2213-8587(23)00061-x] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 02/16/2023] [Accepted: 02/16/2023] [Indexed: 04/04/2023]
Abstract
BACKGROUND The effect of continuous glucose monitoring on the risk of severe hypoglycaemia and ketoacidosis in patients with diabetes is unclear. We investigated whether rates of acute diabetes complications are lower with continuous glucose monitoring, compared with blood glucose monitoring, and which metrics predict its risk in young patients with type 1 diabetes. METHODS In this population-based cohort study, patients were identified from 511 diabetes centres across Austria, Germany, Luxembourg, and Switzerland participating in the Diabetes Prospective Follow-up initiative. We included people with type 1 diabetes aged 1·5-25·0 years, with a diabetes duration of more than 1 year, who had been treated between Jan 1, 2014, and June 30, 2021, and had an observation time of longer than 120 days in the most recent treatment year. Severe hypoglycaemia and ketoacidosis rates during the most recent treatment year were examined in people using continuous glucose monitoring and in those using blood glucose monitoring. Adjustments of statistical models included age, sex, diabetes duration, migration background, insulin therapy (pump or injections), and treatment period. Rates of severe hypoglycaemia and diabetic ketoacidosis were evaluated by several continuous glucose monitoring metrics, including percentage of time below target glucose range (<3·9 mmol/L), glycaemic variability (measured as the coefficient of variation), and mean sensor glucose. FINDINGS Of 32 117 people with type 1 diabetes (median age 16·8 years [IQR 13·3-18·1], 17 056 [53·1%] males), 10 883 used continuous glucose monitoring (median 289 days per year), and 21 234 used blood glucose monitoring. People using continuous glucose monitoring had lower rates of severe hypoglycaemia than those using blood glucose monitoring (6·74 [95% CI 5·90-7·69] per 100 patient-years vs 8·84 [8·09-9·66] per 100 patient-years; incidence rate ratio 0·76 [95% CI 0·64-0·91]; p=0·0017) and diabetic ketoacidosis (3·72 [3·32-4·18] per 100 patient-years vs 7·29 [6·83-7·78] per 100 patient-years; 0·51 [0·44-0·59]; p<0·0001). Severe hypoglycaemia rates increased with percentage of time below target glucose range (incidence rate ratio 1·69 [95% CI 1·18-2·43]; p=0·0024, for 4·0-7·9% vs <4·0% and 2·38 [1·51-3·76]; p<0·0001, for ≥8·0% vs <4·0%) and glycaemic variability (coefficient of variation ≥36% vs <36%; incidence rate ratio 1·52 [95% CI 1·06-2·17]; p=0·022). Diabetic ketoacidosis rates increased with mean sensor glucose (incidence rate ratio 1·77 [95% CI 0·89-3·51], p=0·13, for 8·3-9·9 mmol/L vs <8·3 mmol/L; 3·56 [1·83-6·93], p<0·0001, for 10·0-11·6 mmol/L vs <8·3 mmol/L; and 8·66 [4·48-16·75], p<0·0001, for ≥11·7 mmol/L vs <8·3 mmol/L). INTERPRETATION These findings provide evidence that continuous glucose monitoring can reduce severe hypoglycaemia and ketoacidosis risk in young people with type 1 diabetes on insulin therapy. Continuous glucose monitoring metrics might help to identify those at risk for acute diabetes complications. FUNDING German Center for Diabetes Research, German Federal Ministry of Education and Research, German Diabetes Association, and Robert Koch Institute.
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Affiliation(s)
- Beate Karges
- Division of Endocrinology and Diabetes, Medical Faculty, RWTH Aachen University, Aachen, Germany.
| | - Sascha R Tittel
- Institute of Epidemiology and Medical Biometry, University of Ulm, Ulm, Germany; German Center for Diabetes Research, Neuherberg, Germany
| | - Alexander Bey
- Department of Pediatrics, St Marien Hospital Düren, Düren, Germany
| | - Clemens Freiberg
- Department of Pediatrics and Adolescent Medicine, University of Göttingen, Göttingen, Germany
| | | | - Olga Kordonouri
- Diabetes Center for Children and Adolescents, Children's Hospital Auf der Bult, Hannover, Germany
| | - Susanne Thiele-Schmitz
- Department of Pediatric and Adolescent Medicine, St Vincenz Hospital, Paderborn, Germany
| | - Carmen Schröder
- Department of Pediatrics, Division of Endocrinology and Diabetes, University of Greifswald, Greifswald, Germany
| | | | - Reinhard W Holl
- Institute of Epidemiology and Medical Biometry, University of Ulm, Ulm, Germany; German Center for Diabetes Research, Neuherberg, Germany
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Goldenberg RM, Aroda VR, Billings LK, Donatsky AM, Frederiksen M, Klonoff DC, Kalyanam B, Bergenstal RM. Correlation Between Time in Range and HbA1c in People with Type 2 Diabetes on Basal Insulin: Post Hoc Analysis of the SWITCH PRO Study. Diabetes Ther 2023; 14:915-924. [PMID: 36905485 PMCID: PMC10126196 DOI: 10.1007/s13300-023-01389-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 02/16/2023] [Indexed: 03/12/2023] Open
Abstract
INTRODUCTION Use of continuous glucose monitoring (CGM) in people with diabetes may provide a more complete picture of glycemic control than glycated hemoglobin (HbA1c) measurements, which do not capture day-to-day fluctuations in blood glucose levels. The randomized, crossover, phase IV SWITCH PRO study assessed time in range (TIR), derived from CGM, following treatment with insulin degludec or insulin glargine U100 in patients with type 2 diabetes at risk for hypoglycemia. This post hoc analysis evaluated the relationship between TIR and HbA1c, following treatment intensification during the SWITCH PRO study. METHODS Correlation between absolute values for TIR (assessed over 2-week intervals) and HbA1c, at baseline and at the end of maintenance period 1 (M1; week 18) or maintenance period 2 (M2; week 36), were assessed by linear regression and using the Spearman correlation coefficient (rs). These methods were also used to assess correlation between change in TIR and change in HbA1c from baseline to the end of M1, both in the full cohort and in subgroups stratified by baseline median HbA1c (≥ 7.5% [≥ 58.5 mmol/mol] or < 7.5% [< 58.5 mmol/mol]). RESULTS A total of 419 participants were included in the analysis. A moderate inverse linear correlation was observed between TIR and HbA1c at baseline (rs -0.54), becoming stronger following treatment intensification during maintenance periods M1 (weeks 17-18: rs -0.59) and M2 (weeks 35-36: rs -0.60). Changes in TIR and HbA1c from baseline to end of M1 were also linearly inversely correlated in the full cohort (rs -0.40) and the subgroup with baseline HbA1c ≥ 7.5% (rs -0.43). This was less apparent in the subgroup with baseline HbA1c < 7.5% (rs -0.17) (p-interaction = 0.07). CONCLUSION Results from this post hoc analysis of data from SWITCH PRO, one of the first large interventional clinical studies to use TIR as the primary outcome, further support TIR as a valid clinical indicator of glycemic control. TRIAL REGISTRATION ClinicalTrials.gov identifier, NCT03687827.
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Affiliation(s)
- Ronald M Goldenberg
- LMC Diabetes & Endocrinology, 5-1600 Steeles Ave. West, Concord, ON, L4K 4M2, Canada.
| | - Vanita R Aroda
- Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA
| | - Liana K Billings
- NorthShore University HealthSystem/University of Chicago Pritzker School of Medicine, Evanston, IL, USA
| | | | | | - David C Klonoff
- Diabetes Research Institute, Mills-Peninsula Medical Center, San Mateo, CA, USA
| | | | - Richard M Bergenstal
- International Diabetes Center and HealthPartners Institute, Minneapolis, MN, USA
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Krajnc M, Kravos Tramšek NA. Glycaemia in low-premixed insulin analogue type 2 diabetes patients in a real-world setting: are the CGM targets met? Eur J Med Res 2023; 28:111. [PMID: 36882852 PMCID: PMC9990036 DOI: 10.1186/s40001-023-01081-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Accepted: 02/27/2023] [Indexed: 03/09/2023] Open
Abstract
BACKGROUND There are insufficient data on continuous glucose monitoring (CGM) in nonintensive insulin therapy patients. Using CGM and the recommended CGM targets, we wanted to evaluate low-premix insulin analogue therapy (biphasic aspart/NovoMix 30 and biphasic lispro 25/Humalog Mix 25) in real-world type 2 diabetes patients for glycaemic efficacy and especially hypoglycaemia. METHODS The prospective observational study was performed on 35 patients who were treated with a low-premixed insulin. We used the Dexcom G6 system for CGM (9.6 ± 1 days) to measure the clinically relevant CGM parameters: glycaemic variability (%CV), TBR (time below range) < 3.0 mmol/l = 54 mg/dl (level 2 hypoglycaemia), TBR 3.0-3.8 (= 54-69 mg/dl), TIR (time in range) 3.9-10-0 mmol/l (70-180 mg/dl), TAR (time above range) 10-13.9 mmol/l (180-250 mg/dl) and TAR > 13.9 mmol/l (250 mg/dl). We also assessed clinical and demographic characteristics, laboratory HbA1c, fasting blood glucose, peak postprandial glucose values, and the percentage of hypoglycaemia between 00:00 and 06:00. RESULTS In our patients, the average ± SD age was 70.4 ± 9.2 years, diabetes duration 17.4 ± 7.1 years, 51% were females, average daily insulin dose was 46.4 units (80% received biphasic aspart). The average ± SD TIR was 62.1 ± 12.2%, TBR < 3.0 mmol/l 0.8 ± 2.0%, TBR 3.0-3.8 mmol/l 1.5 ± 1.5%, TAR 10-13.9 mmol/l 29.2 ± 12.4%, TAR > 13.9 mmol/l 6.4 ± 7.2% and %CV 29.9 ± 7.1%. The average time in hypoglycemia was 33.1 min daily in our patients (11.5 min in the level 2 range). In the older/high-risk population, the TBR/TIR/TAR/level 2 TAR targets were met in 40/80/77/80%, respectively. For the general T2D people, level 2 TBR/TBR/TIR/TAR/level 2 TAR would be met in 74/83/34/77/49%. Average fasting blood glucose was 8.0 ± 2.5 mmol/l (144 ± 45 mg/dl), BMI 31.3 ± 5.1 kg/m2, daily insulin dose 46.4 ± 12.1 units, HbA1c 57.4 ± 5.4 mmol/mol (7.4 ± 0.7%). The glycaemic variability goal was met in 80% (with 66% meeting the lower 33% CV goal). 17 ± 12% of hypoglycaemia was nocturnal. People with TBR > 4% were significantly older. CONCLUSIONS Most of our type 2 diabetes patients, treated with low-premixed insulin, did not meet the recommended TBR target for older/high-risk patients while meeting the TIR and TAR targets. Nevertheless, the time spent in (total and nocturnal) hypoglycemia was short. The study indicates that the general type 2 diabetes population targets would mostly be met for TBR and %CV in our patients but not the TIR and TAR targets. CGM appears to be a useful clinical tool in these patients.
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Affiliation(s)
- Mitja Krajnc
- Department of Endocrinology and Diabetology, University Medical Center Maribor, Maribor, Slovenia.
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Goh AT, Yao J, Chua XH, Whitton C, van Dam RM, Forde CG. Associations between oral processing, saliva, and bolus properties on daily glucose excursions amongst people at risk of type-2 diabetes. Food Funct 2023; 14:2260-2269. [PMID: 36762552 DOI: 10.1039/d2fo03060h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2023]
Abstract
Background: A greater time spent with glucose above the normal range (TAR) has been associated with poorer glycaemic control amongst pre-diabetic individuals. Individual differences in oral processing behaviours and saliva amylase activity have been shown to influence glucose responses. Objective: The current study is a preliminary exploration of the associations of oral processing behaviours, bolus characteristics, and salivary amylase activity with the variability in daily glucose excursions within a free-living setting in populations with an elevated risk of type-2 diabetes. Method: Participant oral processing behaviour was derived from video recordings while they consumed a test meal. Post-meal bolus characteristics and saliva properties were measured. Participants were fitted with a continuous glucose monitor (CGM) which monitored blood glucose fluctuation over 7 consecutive free-living days. Dietary intake was recorded through a smartphone application and physical activity was monitored using a wrist worn accelerometer. Results: Participants varied in daily time spent with glucose above the normal range (>7.8 mmol l-1) from 0% to 15%. Greater saliva uptake in the bolus was associated with a higher time spent above the normal range for glucose (β = 0.067 [95% CI = 0.015, 0.120]; p < 0.05), which remained significant after adjustment for dietary carbohydrate intake and BMI. Salivary amylase and saliva flow rate were not significantly associated with the time spent above the normal range. Conclusion: In addition to conventional dietary factors, more research is needed to understand how eating behaviours such as oro-sensory exposure, bolus surface area, and saliva uptake contribute to daily variations in postprandial glucose excursions among populations with a higher risk of developing type-2 diabetes.
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Affiliation(s)
- Ai Ting Goh
- Clinical Nutrition Research Centre (CNRC), Singapore Institute for Food and Biotechnology Innovation, Agency for Science, Technology and Research (A*STAR), 14 Medical Drive, #07-02, MD 6 Building, Yong Loo Lin School of Medicine, 117599, Singapore.
| | - Jiali Yao
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Xin Hui Chua
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Clare Whitton
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Rob M van Dam
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Ciarán G Forde
- Clinical Nutrition Research Centre (CNRC), Singapore Institute for Food and Biotechnology Innovation, Agency for Science, Technology and Research (A*STAR), 14 Medical Drive, #07-02, MD 6 Building, Yong Loo Lin School of Medicine, 117599, Singapore. .,Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
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Mohan V, Joshi S, Mithal A, Kesavadev J, Unnikrishnan AG, Saboo B, Kumar P, Chawla M, Bhograj A, Kovil R. Expert Consensus Recommendations on Time in Range for Monitoring Glucose Levels in People with Diabetes: An Indian Perspective. Diabetes Ther 2023; 14:237-249. [PMID: 36705888 PMCID: PMC9943834 DOI: 10.1007/s13300-022-01355-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 12/05/2022] [Indexed: 01/28/2023] Open
Abstract
Keeping up with the global scenario, diabetes prevalence is on rise in India. Inadequate glycemic control is a major cause of diabetes-related morbidity and mortality. The conventional standards of care (SOC) in diabetes, including self-monitoring of blood glucose and measurement of glycated hemoglobin, have supported achievement of glycemic control, yet there are a few limitations. With the use of current technologies and metrics, such as continuous glucose monitoring (CGM) and standardized CGM data reporting, the continuous real-time glucose levels can be measured, and importantly, the percentage of time above, below, and within the target glucose range can be calculated, which facilitates patient-centric care, a current goal in diabetes management. International consensus recommendations endorse the incorporation of CGM and CGM data reporting in SOC for diabetes management. The guidelines provide time in range (TIR) thresholds for different patient populations and different types of diabetes. However, extrapolation of these global guidelines does not aptly cover the Indian population, which has diverse diet, culture, and religious practices. In this context, a consensus meeting was held in India in 2021 with experts in the field of diabetes care. The purpose of the meeting was to develop consensus recommendations for TIR thresholds for different patient profiles in India. Those expert recommendations, together with an evidence-based review, are reported here. The aim of this agreement is to aid clinicians across India to routinely use CGM and CGM data reports for optimizing individualized diabetes care, by implementing clinical targets for TIR.
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Affiliation(s)
| | - Shashank Joshi
- Department of Endocrinology, Lilavati Hospital, Mumbai, India
| | | | - Jothydev Kesavadev
- Department of Endocrinology, Jothydev's Diabetes Research Centres, Trivandrum, Kerala, India
| | - Ambika G Unnikrishnan
- Department of Endocrinology, Chellaram Hospital-Diabetes Care and Multispecialty, Bavdhan, Pune, India
| | - Banshi Saboo
- Department of Diabetology, Diabetes Care Hormone Clinic, Ambawadi, Ahmedabad, India
| | - Prasanna Kumar
- Department of Endocrinology, Center for Diabetes and Endocrine Care, Kalyanangar, Bengaluru, India
| | - Manoj Chawla
- Department of Endocrinology, SL Raheja Hospital, Mumbai, Maharashtra, India
| | - Abhijit Bhograj
- Department of Endocrinology, Manipal Hospital, Hebbal, Bengaluru, Karnataka, India
| | - Rajiv Kovil
- Department of Diabetology, Dr. Kovil's Diabetes Care, Centre Andheri (West), Mumbai, India
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ElSayed NA, Aleppo G, Aroda VR, Bannuru RR, Brown FM, Bruemmer D, Collins BS, Hilliard ME, Isaacs D, Johnson EL, Kahan S, Khunti K, Leon J, Lyons SK, Perry ML, Prahalad P, Pratley RE, Seley JJ, Stanton RC, Gabbay RA. 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: 219] [Impact Index Per Article: 219.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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Blasi I, Daolio J, Pugni V, Comitini G, Morciano M, Grassi G, Todros T, Gargano G, Aguzzoli L. Correlations between parameters of glycaemic variability and foetal growth, neonatal hypoglycaemia and hyperbilirubinemia in women with gestational diabetes. PLoS One 2023; 18:e0282895. [PMID: 36893129 PMCID: PMC9997917 DOI: 10.1371/journal.pone.0282895] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 02/26/2023] [Indexed: 03/10/2023] Open
Abstract
The diagnosis of gestational diabetes mellitus (GDM) is important to prevent maternal and neonatal complications. This study aimed to investigate the feasibility of parameters of glycaemic variability to predict neonatal complications in women with GDM. A retrospective study was conducted on pregnant women tested positive at the oral glucose tolerance test (OGTT) during 16-18 or 24-28 weeks of gestation. Glycaemic measures were extracted from patients' glucometers and expanded to obtain parameters of glycaemic variability. Data on pregnancy outcomes were obtained from clinical folders. Descriptive group-level analysis was used to assess trends in glycaemic measures and foetal outcomes. Twelve patients were included and analysed, accounting for 111 weeks of observations. The analysis of trends in parameters of glycaemic variability showed spikes of glycaemic mean, high blood glucose index and J-index at 30-31 weeks of gestation for cases with foetal macrosomia, defined as foetal growth >90° percentile, neonatal hypoglycaemia and hyperbilirubinemia. Specific trends in parameters of glycaemic variability observed at third trimester correlate with foetal outcomes. Further research is awaited to provide evidence that monitoring of glycaemic variability trends could be more clinically informative and useful than standard glycaemic checks to manage women with GDM at delivery.
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Affiliation(s)
- Immacolata Blasi
- Department of Obstetrics and Gynecology, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Jessica Daolio
- Department of Obstetrics and Gynecology, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
- * E-mail:
| | - Valeria Pugni
- Endocrinology and Metabolism Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Giuseppina Comitini
- Department of Obstetrics and Gynecology, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Marcello Morciano
- Health Organisation, Policy and Economics (HOPE) Research Group, University of Manchester, Manchester, United Kingdom
- Research Centre for the Analysis of Public Policies (CAPP), University of Modena and Reggio Emilia, Modena, Italy
| | - Giorgio Grassi
- Department of Endocrinology, Diabetology and Metabolism, Azienda ospedaliera Città della Salute e della Scienza, Turin, Italy
| | - Tullia Todros
- Department of Surgical Sciences, University of Turin, Turin, Italy
| | - Giancarlo Gargano
- Department of Neonatology, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Lorenzo Aguzzoli
- Department of Obstetrics and Gynecology, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
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Muacevic A, Adler JR, Sobki SH, Al-Saeed AH, Al Dawish M. Comparison of Point-of-Care and Laboratory Glycated Hemoglobin A1c and Its Relationship to Time-in-Range and Glucose Variability: A Real-World Study. Cureus 2023; 15:e33416. [PMID: 36643084 PMCID: PMC9833273 DOI: 10.7759/cureus.33416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/05/2023] [Indexed: 01/06/2023] Open
Abstract
Introduction The main objective of the current study was to perform a comparison of point-of-care testing for hemoglobin A1c (POCT-HbA1c) versus the standard laboratory method (Lab HbA1c) and their relationship to time-in-range (TIR) and glucose variability (GV) among patients with diabetes mellitus (DM) presented to the outpatient diabetes clinics. Methods This single-center cross-sectional study was carried out on diabetic patients (aged ≥14 years of both genders) who undergo routine follow-up at our institution and whose physicians ordered HbA1c analysis for routine care. The included patients were those using the intermittently scanned continuous glucose monitoring (isCGM) Abbott's FreeStyle Libre system for at least three months and regular CGM users with at least 70% use. Results We included 97 diabetic patients (41 female and 56 male), with a median age of 25 years (Interquartile range= 18) and a mean DM duration of 10.33±5.48 years. The mean values of Lab-HbA1c and POCT HbA1c were 8.82%±0.85% and 8.53%±0.89%, respectively. The TIR, time below range, and time above range were 33.47±14.38 minutes (47.78%±14.32%), 5.44±2.58 minutes (8.41%±4.42%), and 28.8±8.27 minutes (43.81%±13.22%), respectively. According to the Bland-Altman plot analysis, the POCT-HbA1c values are consistent with the standard Lab-HbA1c values (SD of bias= 0.55, and 95% CI= -0.78 to 1.4). The univariate linear regression analysis showed a statistically significant relationship between laboratory HbA1c and POCT HbA1c (R2= 0.637, p <0.001), TIR (R2= 0.406, p <0.001), and GV (R2= 0.048, p= 0.032). After adjusting for age, gender, disease duration, diabetes type, and percentage of sensor data in a multivariable linear regression model, the linear associations remained significant (all p < 0.05). Conclusion The current findings show that TIR and GV can be used as endpoints and valuable parameters for the therapy of DM.
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Lee YH, Kim DM, Yu JM, Choi KM, Kim SG, Park KS, Son HS, Chung CH, Ahn KJ, Lee SH, Song KH, Kwon SK, Park HK, Won KC, Jang HC. Anagliptin twice-daily regimen improves glycaemic variability in subjects with type 2 diabetes: A double-blind, randomized controlled trial. Diabetes Obes Metab 2022; 25:1174-1185. [PMID: 36564983 DOI: 10.1111/dom.14959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2022] [Revised: 12/15/2022] [Accepted: 12/19/2022] [Indexed: 12/25/2022]
Abstract
AIM To determine whether the twice-daily (BID) regimen is superior to the once-daily (QD) regimen for managing glycaemic variability by comparing the effects of anagliptin 100 mg BID versus sitagliptin 100 mg QD. MATERIALS AND METHODS A double-blinded, randomized, multicentre study was performed in 89 patients with type 2 diabetes treated with metformin alone (6.5% < HbA1c < 8.5%). Subjects were randomly assigned to anagliptin 100 mg BID or sitagliptin 100 mg QD in a 1:1 ratio for 12 weeks. Continuous glucose monitoring was used to measure the mean amplitude of glycaemic excursion (MAGE) and postprandial time in range (TIR) before and after dipeptidyl peptidase-4 (DPP-4) inhibitor treatment to compare glycaemic variability. RESULTS The decrease from baseline in MAGE at 12 weeks after DPP-4 inhibitor treatment was significantly greater in the anagliptin BID group than in the sitagliptin QD group (P < .05); -30.4 ± 25.6 mg/dl (P < .001) in the anagliptin group versus -9.5 ± 38.0 mg/dl (P = .215) in the sitagliptin group. The TIR after dinner increased by 33.0% ± 22.0% (P < .001) in the anagliptin group and by 14.6% ± 28.2% (P = .014) in the sitagliptin group, with a statistically significant difference (P = .009). No statistically significant differences were observed between the groups in the changes in HbA1c and fasting plasma glucose (FPG). CONCLUSIONS The anagliptin BID regimen for the treatment of type 2 diabetes was superior in blood glucose control after dinner to improve glycaemic variability, as indicated by MAGE and TIR, but was equivalent to the QD regimen in terms of HbA1c and FPG.
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Affiliation(s)
- Yong-Ho Lee
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, South Korea
| | - Doo-Man Kim
- Department of Internal Medicine, Hallym University Kangdong Sacred Heart Hospital, Hallym University College of Medicine, Seoul, South Korea
| | - Jae Myung Yu
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Hallym University Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, South Korea
| | - Kyung Mook Choi
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, South Korea
| | - Sin Gon Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, College of Medicine, Korea University, Seoul, South Korea
| | - Kang Seo Park
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Daejeon Eulji Medical Center, Eulji University School of Medicine, Daejeon, South Korea
| | - Hyun-Shik Son
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Uijeongbu St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea
| | - Choon Hee Chung
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Wonju Severance Christian Hospital, Yonsei University Wonju College of Medicine, Wonju, South Korea
| | - Kyu Jeung Ahn
- Department of Endocrinology and Metabolism, Kyung Hee University School of Medicine, Seoul, South Korea
| | - Soon Hee Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, College of Medicine, Inje University, Busan, South Korea
| | - Ki-Ho Song
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea
| | - Su Kyoung Kwon
- Department of Endocrinology, Kosin University Gospel Hospital, Kosin University College of Medicine, Busan, South Korea
| | - Hyeong Kyu Park
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Soonchunhyang University Hospital, Soonchunhyang University College of Medicine, Seoul, South Korea
| | - Kyu Chang Won
- Department of Internal Medicine, Yeungnam University College of Medicine, Daegu, South Korea
| | - Hak Chul Jang
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea
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Ubl M, Koutny T, Della Cioppa A, De Falco I, Tarantino E, Scafuri U. Distributed Assessment of Virtual Insulin-Pump Settings Using SmartCGMS and DMMS.R for Diabetes Treatment. SENSORS (BASEL, SWITZERLAND) 2022; 22:9445. [PMID: 36502149 PMCID: PMC9739839 DOI: 10.3390/s22239445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 11/28/2022] [Accepted: 11/29/2022] [Indexed: 06/17/2023]
Abstract
Diabetes is a heterogeneous group of diseases that share a common trait of elevated blood glucose levels. Insulin lowers this level by promoting glucose utilization, thus avoiding short- and long-term organ damage due to the elevated blood glucose level. A patient with diabetes uses an insulin pump to dose insulin. The pump uses a controller to compute and dose the correct amount of insulin to keep blood glucose levels in a safe range. Insulin-pump controller development is an ongoing process aiming at fully closed-loop control. Controllers entering the market must be evaluated for safety. We propose an evaluation method that exploits an FDA-approved diabetic patient simulator. The method evaluates a Cartesian product of individual insulin-pump parameters with a fine degree of granularity. As this is a computationally intensive task, the simulator executes on a distributed cluster. We identify safe and risky combinations of insulin-pump parameter settings by applying the binomial model and decision tree to this product. As a result, we obtain a tool for insulin-pump settings and controller safety assessment. In this paper, we demonstrate the tool with the Low-Glucose Suspend and OpenAPS controllers. For average ± standard deviation, LGS and OpenAPS exhibited 1.7 ± 0.6% and 3.2 ± 1.8% of local extrema (i.e., good insulin-pump settings) out of all the entire Cartesian products, respectively. A continuous region around the best-discovered settings (i.e., the global extremum) of the insulin-pump settings spread across 4.0 ± 1.1% and 4.1 ± 1.3% of the Cartesian products, respectively.
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Affiliation(s)
- Martin Ubl
- Department of Computer Science and Engineering, University of West Bohemia, Technicka 18, 330 01 Pilsen, Czech Republic
| | - Tomas Koutny
- Department of Computer Science and Engineering, New Technologies for Information Society, University of West Bohemia, Technicka 18, 330 01 Pilsen, Czech Republic
| | - Antonio Della Cioppa
- Natural Computation Lab, Department of Information Engineering, Electrical Engineering and Applied Mathematics, University of Salerno, Via Giovanni Paolo II 132, 84084 Fisciano, Italy
| | - Ivanoe De Falco
- ICAR-National Research Council of Italy, Via P. Castellino, 80131 Naples, Italy
| | - Ernesto Tarantino
- ICAR-National Research Council of Italy, Via P. Castellino, 80131 Naples, Italy
| | - Umberto Scafuri
- ICAR-National Research Council of Italy, Via P. Castellino, 80131 Naples, Italy
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Huang B, Jiang Q, Wu T, Shen Q, Wang W, Wang S, Huang Y, Wang S, Huang P, Lin M, Shi X, Li X. Hypoglycemia unawareness identified by continuous glucose monitoring system is frequent in outpatients with type 2 diabetes without receiving intensive therapeutic interventions. Diabetol Metab Syndr 2022; 14:180. [PMID: 36443872 PMCID: PMC9703673 DOI: 10.1186/s13098-022-00959-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 11/18/2022] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Patients with diabetes are prone to asymptomatic hypoglycemia (AH) due to diminished ability to perceive the onset of hypoglycemia. However, the actual prevalence and influencing factors of AH in outpatients with type 2 diabetes (T2DM) have not been well investigated. METHODS A total of 351 outpatients with T2DM underwent glucose monitoring by continuous glucose monitoring system (CGMS) for consecutive 72 h without changing their lifestyle and treatment regimens. Hypoglycemia is defined as a blood glucose level less than 3.9 mmol/L, which was further divided into Level 1 hypoglycemia (blood glucose 3.0-3.9 mmol/L) and Level 2 hypoglycemia (blood glucose < 3.0 mmol/L). Univariate and multivariate logistic regression analyses were used to determine the possible risk factors of AH. RESULTS In all 351 subjects studied, 137 outpatients (39.0%) were captured AH events, in which Level 1 AH and Level 2 AH accounted for 61.3% and 38.7%, respectively. 85 (62.0%) of the AH patients experienced nocturnal asymptomatic hypoglycemia (NAH) and 25 (18.2%) exclusively NAH. Multivariate logistic regression analysis demonstrated that patients with younger age, lower hemoglobin A1c (HbA1c), and higher systolic blood pressure (SBP) levels were associated with increased risk of AH. While after further grading of AH, male sex and Dipeptidylpeptidase-4 inhibitors (DPP4i) regime were shown to be associated with lower risk of Level 2 AH. CONCLUSIONS Hypoglycemia unawareness could be frequently observed at either daytime or nighttime, although NAH was more common, in outpatients with T2DM. Relative relax HbA1c targets should be considered for patients who are prone to AH.
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Affiliation(s)
- Bingkun Huang
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, Xiamen Clinical Medical Center for Endocrine and Metabolic Diseases, Xiamen Diabetes Prevention and Treatment Center, Fujian Key Laboratory of Diabetes Translational Medicine, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Qiuhui Jiang
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, Xiamen Clinical Medical Center for Endocrine and Metabolic Diseases, Xiamen Diabetes Prevention and Treatment Center, Fujian Key Laboratory of Diabetes Translational Medicine, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
- The Third Clinical Medical College of Fujian Medical University, Fujian, China
| | - Ting Wu
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, Xiamen Clinical Medical Center for Endocrine and Metabolic Diseases, Xiamen Diabetes Prevention and Treatment Center, Fujian Key Laboratory of Diabetes Translational Medicine, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
- The Third Clinical Medical College of Fujian Medical University, Fujian, China
| | - Qingbao Shen
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, Xiamen Clinical Medical Center for Endocrine and Metabolic Diseases, Xiamen Diabetes Prevention and Treatment Center, Fujian Key Laboratory of Diabetes Translational Medicine, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Wengui Wang
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, Xiamen Clinical Medical Center for Endocrine and Metabolic Diseases, Xiamen Diabetes Prevention and Treatment Center, Fujian Key Laboratory of Diabetes Translational Medicine, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Shoubi Wang
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, Xiamen Clinical Medical Center for Endocrine and Metabolic Diseases, Xiamen Diabetes Prevention and Treatment Center, Fujian Key Laboratory of Diabetes Translational Medicine, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
- Fujian Provincial Key Laboratory of Ophthalmology and Visual Science, Eye Institute of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Yinxiang Huang
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, Xiamen Clinical Medical Center for Endocrine and Metabolic Diseases, Xiamen Diabetes Prevention and Treatment Center, Fujian Key Laboratory of Diabetes Translational Medicine, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Shunhua Wang
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, Xiamen Clinical Medical Center for Endocrine and Metabolic Diseases, Xiamen Diabetes Prevention and Treatment Center, Fujian Key Laboratory of Diabetes Translational Medicine, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Peiying Huang
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, Xiamen Clinical Medical Center for Endocrine and Metabolic Diseases, Xiamen Diabetes Prevention and Treatment Center, Fujian Key Laboratory of Diabetes Translational Medicine, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Mingzhu Lin
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, Xiamen Clinical Medical Center for Endocrine and Metabolic Diseases, Xiamen Diabetes Prevention and Treatment Center, Fujian Key Laboratory of Diabetes Translational Medicine, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Xiulin Shi
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, Xiamen Clinical Medical Center for Endocrine and Metabolic Diseases, Xiamen Diabetes Prevention and Treatment Center, Fujian Key Laboratory of Diabetes Translational Medicine, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China.
| | - Xuejun Li
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, Xiamen Clinical Medical Center for Endocrine and Metabolic Diseases, Xiamen Diabetes Prevention and Treatment Center, Fujian Key Laboratory of Diabetes Translational Medicine, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China.
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„Time in range“ (TIR) vs. Glykohämoglobin Typ A 1c (HbA 1c): was zählt für unsere Patienten? DIE DIABETOLOGIE 2022. [PMCID: PMC9552744 DOI: 10.1007/s11428-022-00963-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
„Continuous glucose monitoring systems“ (CGM-Systeme) und CGM-basierte Metrik gewannen in den letzten 10 Jahren massiv an Bedeutung. Dennoch ist der HbA1c nach wie vor der meistverwendete und international anerkannte Marker zur Beurteilung der glykämischen Kontrolle. Ebenso stellt er in klinischen Studien immer noch den wichtigsten Surrogatparameter zur Beurteilung klinischer Outcomes dar. Die Verwendung der Zeit im Zielbereich („time in range“ [TIR]) hat im Vergleich zum HbA1c den Vorteil, dass Hypoglykämien und Glukosevariabilität besser dargestellt werden. Durch Nutzung der TIR kann man auch individuelle Zielbereiche definieren, beispielsweise bei Schwangeren oder multimorbiden Personen. Auch gibt es erste Hinweise, dass klinische Studienergebnisse anhand von TIR und anderen CGM-basierten Metriken bewertet werden können, auch wenn hierzu noch Langzeit- und Endpunktstudien fehlen. Einen wesentlichen Vorteil zeigt die TIR bei der Prädiktion diabetesassoziierter Komplikationen. So kann, basierend auf Änderungen beim erreichten Zielbereich, nicht nur das Auftreten neuropathischer, mikro- oder makrovaskulärer Komplikationen vorhergesagt werden, sondern auch das relative Risiko deren Manifestation. Die Nutzung von CGM im Allgemeinen und das Erreichen der TIR-Ziele spielen auch für Menschen mit Diabetes mellitus und deren Einschätzung ihrer Lebensqualität eine immer größere Rolle.
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Zhang L, Xu H, Liu L, Bi Y, Li X, Kan Y, Liu H, Li S, Zou Y, Yuan Y, Gong W, Zhang Y. Related factors associated with fear of hypoglycemia in parents of children and adolescents with type 1 diabetes - A systematic review. J Pediatr Nurs 2022; 66:125-135. [PMID: 35716460 DOI: 10.1016/j.pedn.2022.05.022] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 05/09/2022] [Accepted: 05/27/2022] [Indexed: 12/16/2022]
Abstract
PROBLEM Fear of hypoglycemia is a significant concern for parents of children/ adolescents with type 1 diabetes. Although some studies have explained the parental fear of hypoglycemia, the related factors were yet to be determined. This systematic review aims to identify the related factors of fear of hypoglycemia in the parents of children and adolescents with type 1 diabetes and provide a theoretical basis for further intervention. ELIGIBILITY CRITERIA PubMed, MEDLINE, EMBASE, Scopus, CINAHL, EBSCO, Web of Science, and Cochrane Library were systematically searched from 2010 to 2021. Studies evaluating the fear of hypoglycemia of parents and its associated factors were included. SAMPLE Twenty-three observational articles met the criteria. RESULTS Significant associations were found between fear of hypoglycemia and specific factors, including motherhood, nocturnal hypoglycemia, and the number of blood glucose monitoring. Psychological factors, including anxiety, depression, pediatric parenting stress, mindfulness, self-efficacy, quality of life, and sleep disorders, were conclusive and associations with parental fear of hypoglycemia. CONCLUSIONS Understanding parental fear of hypoglycemia can help parents prevent potential problems in diabetes management, thus promoting children's growth. According to current evidence, effective targeted interventions based on modifiable relevant factors can be developed to reduce the fear of hypoglycemia in parents while maintaining optimal blood glucose control in children/ adolescents. IMPLICATIONS Health professionals should pay more attention to the mental health of parents, and parents should be involved in the care plan and have the opportunity to discuss their fear of hypoglycemia in the most appropriate way to manage type 1 diabetes.
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Affiliation(s)
- Lu Zhang
- School of Nursing, Yangzhou University, Yangzhou, China
| | - Huiwen Xu
- School of Nursing, Yangzhou University, Yangzhou, China; Nagano College of Nursing, Komagane, Nagano 399-4117, Japan
| | - Lin Liu
- School of Nursing, Yangzhou University, Yangzhou, China
| | - Yaxin Bi
- School of Nursing, Yangzhou University, Yangzhou, China
| | - Xiangning Li
- School of Nursing, Yangzhou University, Yangzhou, China
| | - Yinshi Kan
- School of Nursing, Yangzhou University, Yangzhou, China
| | - Hongyuan Liu
- School of Nursing, Yangzhou University, Yangzhou, China
| | - Shuang Li
- School of Nursing, Yangzhou University, Yangzhou, China
| | - Yan Zou
- School of Nursing, Yangzhou University, Yangzhou, China
| | - Yuan Yuan
- Affiliated Hospital of Yangzhou University, Yangzhou, China
| | - Weijuan Gong
- School of Nursing, Yangzhou University, Yangzhou, China
| | - Yu Zhang
- School of Nursing, Yangzhou University, Yangzhou, China; Jiangsu Key Laboratory of Integrated Traditional Chinese and Western Medicine for Prevention and Treatment of Senile Diseases, Yangzhou, China.
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Vallis M, Holt RIG. User-driven open-source artificial pancreas systems and patient-reported outcomes: A missed opportunity? Diabet Med 2022; 39:e14797. [PMID: 35092089 DOI: 10.1111/dme.14797] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Accepted: 01/25/2022] [Indexed: 11/27/2022]
Abstract
AIM This paper aims to highlight the attributes of engagement and urgency to act to control diabetes demonstrated by open-source artificial pancreas system users with the view that increased user involvement in research and practice can capitalize on these self-management traits; and to outline the challenges of researching outcomes in the context of unlicensed therapies. METHODS A group of technically minded people with type 1 diabetes have reverse-engineered commercially available diabetes devices to help them achieve the diabetes outcomes they desire. Although studies have reported improved biomedical outcomes with these artificial pancreas systems, there are only a few studies examining patient-reported outcomes. RESULTS The investigation of patient-reported outcomes for open-source artificial pancreas system users has been hampered by the rapid advances in the technology, the lack of randomized controlled trials and the ethical challenges of researching unregulated technologies. There is an on-going debate about the most appropriate types of measures to evaluate patient-related outcomes. CONCLUSIONS The early adopters of open-source artificial pancreas systems exhibit many of the characteristics that predict optimal diabetes outcomes through engagement and urgency regarding self-management. These qualities should be harnessed to improve research in this and other areas of diabetes management.
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Affiliation(s)
| | - Richard I G Holt
- Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
- Southampton National Institute for Health Research Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, Southampton, UK
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Evin F, Ata A, Er E, Demir G, Çetin H, Altınok YA, Özen S, Darcan Ş, Gökşen D. Predictive low-glucose suspend system and glycemic variability. Int J Diabetes Dev Ctries 2022. [DOI: 10.1007/s13410-021-00957-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2022] Open
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Xie P, Deng B, Zhang X, Li Y, Du C, Rui S, Deng W, Boey J, Armstrong DG, Ma Y, Deng W. Time in range in relation to amputation and all-cause mortality in hospitalised patients with diabetic foot ulcers. Diabetes Metab Res Rev 2022; 38:e3498. [PMID: 34587332 DOI: 10.1002/dmrr.3498] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Accepted: 09/13/2021] [Indexed: 12/16/2022]
Abstract
AIMS The aim of this study was to evaluate the association of time in range (TIR) with amputation and all-cause mortality in hospitalised patients with diabetic foot ulcers (DFUs). MATERIALS AND METHODS A retrospective analysis was performed on 303 hospitalised patients with DFUs. During hospitalisation, TIR, mean blood glucose (MBG), coefficient of variation (CV), time above range (TAR) and time below range (TBR) of patients were determined from seven-point blood glucose profiles. Participants were grouped based on their clinical outcomes (i.e., amputation and death). Logistic regression was employed to analyse the association of TIR with amputation and all-cause mortality of inpatients with DFUs. RESULTS Among the 303 enrolled patients, 50 (16.5%) had undergone amputation whereas seven (2.3%) were deceased. Blood glucose was determined in 41,012 samples obtained from all participants. Patients who underwent amputation had significantly lower TIR and higher MBG, CV, level 2 TAR and level 1 TBR whereas deceased patients had significantly lower TIR and higher MBG and level 2 TAR. Both amputation and all-cause mortality rate declined with an increase in TIR quartiles. Logistic regression showed association of TIR with amputation (p = 0.034) and all-cause mortality (p = 0.013) after controlling for 15 confounders. This association was similarly significant in all-cause mortality after further adjustment for CV (p = 0.022) and level 1 TBR (p = 0.021), respectively. CONCLUSIONS TIR is inversely associated with amputation and all-cause mortality of hospitalised patients with DFUs. Further prospective studies are warranted to establish a causal relationship between TIR and clinical outcomes in patients with DFUs.
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Affiliation(s)
- Puguang Xie
- Department of Endocrinology, College of Medicine, College of Bioengineering, Chongqing Emergency Medical Center, Chongqing University Central Hospital, Chongqing University, Chongqing, China
| | - Bo Deng
- Department of Endocrinology, College of Medicine, College of Bioengineering, Chongqing Emergency Medical Center, Chongqing University Central Hospital, Chongqing University, Chongqing, China
| | - Xi Zhang
- Department of Endocrinology, College of Medicine, College of Bioengineering, Chongqing Emergency Medical Center, Chongqing University Central Hospital, Chongqing University, Chongqing, China
| | - Yuyao Li
- Department of Endocrinology, College of Medicine, College of Bioengineering, Chongqing Emergency Medical Center, Chongqing University Central Hospital, Chongqing University, Chongqing, China
| | - Chenzhen Du
- Department of Endocrinology, College of Medicine, College of Bioengineering, Chongqing Emergency Medical Center, Chongqing University Central Hospital, Chongqing University, Chongqing, China
| | - Shunli Rui
- Department of Endocrinology, College of Medicine, College of Bioengineering, Chongqing Emergency Medical Center, Chongqing University Central Hospital, Chongqing University, Chongqing, China
| | - Wu Deng
- College of Electronic Information and Automation, Civil Aviation University of China, Tianjin, China
| | - Johnson Boey
- Department of Podiatry, National University Hospital, Singapore
| | - David G Armstrong
- Department of Surgery, Keck School of Medicine of University of Southern California, Los Angeles, California, USA
| | - Yu Ma
- Department of Endocrinology, College of Medicine, College of Bioengineering, Chongqing Emergency Medical Center, Chongqing University Central Hospital, Chongqing University, Chongqing, China
| | - Wuquan Deng
- Department of Endocrinology, College of Medicine, College of Bioengineering, Chongqing Emergency Medical Center, Chongqing University Central Hospital, Chongqing University, Chongqing, China
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Negative association of time in range and urinary albumin excretion rate in patients with type 2 diabetes mellitus: a retrospective study of inpatients. Chin Med J (Engl) 2022; 135:1052-1056. [PMID: 35089882 PMCID: PMC9276240 DOI: 10.1097/cm9.0000000000001914] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
Background: Time in range (TIR) refers to the time an individual spends within their target glucose range, which now has been popularized as an important metric to classify glycemic management and also recognized as an important outcome of current diabetes therapies. This study aimed to investigate the association between TIR and the severity of the urinary albumin excretion rate (UAER) in patients with type 2 diabetes mellitus (T2DM). Methods: We retrospectively analyzed the data of 1014 inpatients with T2DM at the Department of Endocrinology and Metabolism of Peking University International Hospital, China. TIR was defined as the percentage of blood glucose within the target range of 3.90–10.00 mmol/L. Urine samples for assessment of UAER were collected for 3 consecutive days from the start of hospitalization. Results: The TIR values for patients with normal urine levels of albumin, microalbuminuria, and macroalbuminuria were 70% ± 20%, 50% ± 20%, and 30% ± 20%, respectively (all P < 0.001). The patients were stratified according to quartiles of TIR as follows: quartile (Q) 1, <55%; Q2, 55%–72%; Q3, 73%–83%; and Q4, >83%. The incidences of microalbuminuria in Q1, Q2, Q3, and Q4 were 41.1%, 21.6%, 7.1%, and 5.5% (all P < 0.001), respectively. The respective incidences of macroalbuminuria were 24.2%, 1.1%, 1.4%, and 0% (all P < 0.001). In multinomial logistic regression analyses, TIR was significantly correlated with microalbuminuria (odds ratio [OR] 0.58, 95% confidence interval [CI]: 0.52–0.65, P < 0.001) and macroalbuminuria (OR 0.26, 95% CI: 0.18–0.38, P < 0.001) after adjusting for age, sex, body mass index, diabetes duration, systolic blood pressure, and levels of triglycerides, glycosylated hemoglobin A1c, and creatinine. Conclusion: The proportion of blood glucose in TIR is closely related to the severity of UAER in patients with T2DM.
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Aleppo G, Bode B, Carlson AL. Can Faster Aspart Be Used to Optimize Glycemic Control With Insulin Pump Therapy? From Expectations to Lessons Learned After a Year of Use in the United States. Clin Diabetes 2022; 40:413-424. [PMID: 36381308 PMCID: PMC9606564 DOI: 10.2337/cd21-0056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Fast-acting insulin aspart (faster aspart) is an ultra-rapid-acting formulation of insulin aspart developed to more closely match the prandial endogenous insulin profile, and its accelerated absorption kinetics are expected to provide clinical benefits for patients using insulin pump therapy. A head-to-head trial versus the original insulin aspart formulation in pump therapy did not demonstrate superiority of faster aspart in terms of A1C reduction, but pump settings were not optimized for the pharmacokinetic/pharmacodynamic profile of faster aspart. Nevertheless, meal test and continuous glucose monitoring data suggest that faster aspart is beneficial for postprandial glucose control, and a case study is presented illustrating excellent results using this insulin in pump therapy. Frequent blood glucose monitoring and appropriate patient education are vital for success.
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Affiliation(s)
- Grazia Aleppo
- Division of Endocrinology, Metabolism and Molecular Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
- Corresponding author: Grazia Aleppo,
| | - Bruce Bode
- Atlanta Diabetes Associates, Atlanta, GA
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Abstract
The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee (https://doi.org/10.2337/dc22-SPPC), are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction (https://doi.org/10.2337/dc22-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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Wang S, Tan Z, Wu T, Shen Q, Huang P, Wang L, Liu W, Song H, Lin M, Shi X, Li X. Largest Amplitude of Glycemic Excursion Calculating from Self-Monitoring Blood Glucose Predicted the Episodes of Nocturnal Asymptomatic Hypoglycemia Detecting by Continuous Glucose Monitoring in Outpatients with Type 2 Diabetes. Front Endocrinol (Lausanne) 2022; 13:858912. [PMID: 35498416 PMCID: PMC9047895 DOI: 10.3389/fendo.2022.858912] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Accepted: 03/15/2022] [Indexed: 12/03/2022] Open
Abstract
AIMS Nocturnal asymptomatic hypoglycemia (NAH) is a serious complication of diabetes, but it is difficult to be detected clinically. This study was conducted to determine the largest amplitude of glycemic excursion (LAGE) to predict the episodes of NAH in outpatients with type 2 diabetes. METHODS Data were obtained from 313 outpatients with type 2 diabetes. All subjects received continuous glucose monitoring (CGM) for consecutive 72 hours. The episodes of NAH and glycemic variability indices (glucose standard deviation [SD], mean amplitude of plasma glucose excursion [MAGE], mean blood glucose [MBG]) were accessed via CGM. LAGE was calculated from self-monitoring blood glucose (SMBG). RESULTS A total of 76 people (24.3%) had NAH. Compared to patients without NAH, patients with NAH showed higher levels of glucose SD (2.4 ± 0.9 mmol/L vs 1.7 ± 0.9 mmol/L, p <0.001), MAGE (5.2 ± 2.1 mmol/L vs 3.7 ± 2.0, p<0.001) and LAGE (4.6 ± 2.3 mmol/L vs 3.8 ± 1.9 mmol/L, p=0.007), and lower level of MBG (7.5 ± 1.5 mmol/L vs 8.4 ± 2.2 mmol/L, p=0.002). LAGE was significantly associated with the incidence of NAH and time below rang (TBR) in model 1 [NAH: 1.189 (1.027-1.378), p=0.021; TBR: 0.008 (0.002-0.014), p=0.013] with adjustment for age, BMI, sex, work, hyperlipidemia, complication and medication, and in model 2 [NAH: 1.177 (1.013-1.367), p=0.033; TBR: 0.008 (0.002-0.014), p=0.012] after adjusting for diabetes duration based on model 1, as well as in model 3 [NAH: 1.244 (1.057-1.464), p=0.009; TBR: 0.009 (0.002-0.016), p=0.007] with further adjustment for HbA1c based on model 2. In addition, no significant interactions were found between LAGE and sex, age, HbA1c, duration of diabetes, BMI and insulin therapy on the risk of NAH. The receiver operator characteristic (ROC) curve shows the ideal cutoff value of LAGE for the prediction of NAH was 3.48 mmol/L with 66.7% sensitivity, 50% specificity and 0.587 (95% CI: 0.509-0.665) of area under the ROC curve. CONCLUSIONS High glycemic variability is strongly associated with the risk of NAH. The LAGE based on SMBG could be an independent predictor of NAH for outpatients with type 2 diabetes, and LAGE greater than 3.48 mmol/L could act as a warning alarm for high risk of NAH in daily life.
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Affiliation(s)
- Shoubi Wang
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, Xiamen Clinical Medical Center for Endocrine and Metabolic Diseases, Xiamen Diabetes Prevention and Treatment Center, Fujian Key Laboratory of Diabetes Translational Medicine, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
- Fujian Provincial Key Laboratory of Ophthalmology and Visual Science, Eye Institute of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Zhenhua Tan
- Xiahe Branch of the Zhongshan Hospital Affiliated to Xiamen University, Xiamen, China
| | - Ting Wu
- The School of Clinical of Medicine, Fujian Medical University, Fuzhou, China
| | - Qingbao Shen
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, Xiamen Clinical Medical Center for Endocrine and Metabolic Diseases, Xiamen Diabetes Prevention and Treatment Center, Fujian Key Laboratory of Diabetes Translational Medicine, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Peiying Huang
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, Xiamen Clinical Medical Center for Endocrine and Metabolic Diseases, Xiamen Diabetes Prevention and Treatment Center, Fujian Key Laboratory of Diabetes Translational Medicine, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Liying Wang
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, Xiamen Clinical Medical Center for Endocrine and Metabolic Diseases, Xiamen Diabetes Prevention and Treatment Center, Fujian Key Laboratory of Diabetes Translational Medicine, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Wei Liu
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, Xiamen Clinical Medical Center for Endocrine and Metabolic Diseases, Xiamen Diabetes Prevention and Treatment Center, Fujian Key Laboratory of Diabetes Translational Medicine, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Haiqu Song
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, Xiamen Clinical Medical Center for Endocrine and Metabolic Diseases, Xiamen Diabetes Prevention and Treatment Center, Fujian Key Laboratory of Diabetes Translational Medicine, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Mingzhu Lin
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, Xiamen Clinical Medical Center for Endocrine and Metabolic Diseases, Xiamen Diabetes Prevention and Treatment Center, Fujian Key Laboratory of Diabetes Translational Medicine, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Xiulin Shi
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, Xiamen Clinical Medical Center for Endocrine and Metabolic Diseases, Xiamen Diabetes Prevention and Treatment Center, Fujian Key Laboratory of Diabetes Translational Medicine, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
- *Correspondence: Xuejun Li, ; Xiulin Shi,
| | - Xuejun Li
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, Xiamen Clinical Medical Center for Endocrine and Metabolic Diseases, Xiamen Diabetes Prevention and Treatment Center, Fujian Key Laboratory of Diabetes Translational Medicine, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
- *Correspondence: Xuejun Li, ; Xiulin Shi,
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Han Z, Kang X, Zhang J, Wang J, Liu Y, Liu J, Wu Z, Li X, Zhao X, Guo X, Chen S, Tao L. Glycated Hemoglobin and Risk of Arterial Stiffness in a Chinese Han Population: A Longitudinal Study. Front Endocrinol (Lausanne) 2022; 13:854875. [PMID: 35574013 PMCID: PMC9098962 DOI: 10.3389/fendo.2022.854875] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 03/28/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND AND AIMS Glycated hemoglobin (HbA1c) associates with the risk of arterial stiffness, and such association can be found between fasting blood glucose (FBG), postprandial blood glucose (PBG), triglyceride-glucose index (TyG index), and arterial stiffness. However, the results were inconsistent, longitudinal studies were sparse, and comparison of these glycemic parameters was less conducted. We aimed to explore the longitudinal relationship between HbA1c and arterial stiffness and compare the effect of the parameters. METHODS Data were collected from 2011 to 2019 in Beijing Health Management Cohort (BHMC) study. Cox proportional hazard models were fitted to investigate the association between the parameters and arterial stiffness. A generalized estimation equation (GEE) analysis was conducted to investigate the effect of repeated measurements of glycemic parameters. A receiver operating characteristic (ROC) analysis was performed to compare the predictive value of glycemic parameters for arterial stiffness. RESULTS Among 3,048 subjects, 591 were diagnosed as arterial stiffness during the follow-up. The adjusted hazard ratio (HR) [95% confidence interval (CI)] for arterial stiffness of the highest quartile group of HbA1c was 1.63 (1.22-2.18), which was higher than those of FBG, PBG, and TyG index. The nonlinear association of arterial stiffness with HbA1c and PBG was proved. The robust results of the sensitivity analysis were obtained. CONCLUSIONS HbA1c is an important risk factor of arterial stiffness compared with PBG, FBG, and TyG index, and has a strong predictive ability for arterial stiffness among non-diabetics and the general population.
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Affiliation(s)
- Ze Han
- School of Public Health, Capital Medical University, Beijing, China
- Department of Epidemiology and Health Statistics, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Xiaoping Kang
- Rehabilitation Centre, Beijing Xiaotangshan Hospital, Beijing, China
| | - Jie Zhang
- School of Public Health, Capital Medical University, Beijing, China
- Department of Epidemiology and Health Statistics, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Jinqi Wang
- School of Public Health, Capital Medical University, Beijing, China
- Department of Epidemiology and Health Statistics, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Yue Liu
- School of Public Health, Capital Medical University, Beijing, China
- Department of Epidemiology and Health Statistics, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Jia Liu
- School of Public Health, Capital Medical University, Beijing, China
- Department of Epidemiology and Health Statistics, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Zhiyuan Wu
- School of Public Health, Capital Medical University, Beijing, China
- Department of Public Health, School of Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia
| | - Xia Li
- Department of Mathematics and Statistics, La Trobe University, Melbourne, VIC, Australia
| | - Xiaoyu Zhao
- School of Public Health, Capital Medical University, Beijing, China
- Department of Epidemiology and Health Statistics, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Xiuhua Guo
- School of Public Health, Capital Medical University, Beijing, China
- Department of Epidemiology and Health Statistics, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Shuo Chen
- Information Department, Beijing Physical Examination Center, Beijing, China
- *Correspondence: Lixin Tao, ; Shuo Chen,
| | - Lixin Tao
- School of Public Health, Capital Medical University, Beijing, China
- Department of Epidemiology and Health Statistics, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
- *Correspondence: Lixin Tao, ; Shuo Chen,
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