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Danne TP, Joubert M, Hartvig NV, Kaas A, Knudsen NN, Mader JK. Association Between Treatment Adherence and Continuous Glucose Monitoring Outcomes in People With Diabetes Using Smart Insulin Pens in a Real-World Setting. Diabetes Care 2024; 47:995-1003. [PMID: 38569055 PMCID: PMC11116913 DOI: 10.2337/dc23-2176] [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: 11/14/2023] [Accepted: 03/05/2024] [Indexed: 04/05/2024]
Abstract
OBJECTIVE To evaluate the association of insulin injection adherence, smart insulin pen engagement, and glycemic control using real-world data from 16 countries from adults self-administering basal insulin degludec and bolus insulin with a smart insulin pen (NovoPen 6 or NovoPen Echo Plus) alongside continuous glucose monitoring (CGM). RESEARCH DESIGN AND METHODS Data were aggregated over 14-day periods. Treatment adherence was defined according to the number of missed basal and missed bolus insulin doses and smart pen engagement according to the number of days with data uploads. RESULTS Data from 3,945 adults, including 25,157 14-day periods with ≥70% CGM coverage, were analyzed. On average, 0.2 basal and 6.0 bolus insulin doses were missed over 14 days. The estimated probability of missing at least one basal insulin dose over a 14-day period was 17.6% (95% CI 16.5, 18.7). Missing one basal or bolus insulin dose per 14 days was associated with a significant decrease in percentage of time with glucose levels in range (TIR) (3.9-10.0 mmol/L), of -2.8% (95% CI -3.7, -1.8) and -1.7% (-1.8, -1.6), respectively; therefore, missing two basal or four bolus doses would decrease TIR by >5%. Smart pen engagement was associated positively with glycemic outcomes. CONCLUSIONS This combined analysis of real-world smart pen and CGM data showed that missing two basal or four bolus insulin doses over a 14-day period would be associated with a clinically relevant decrease in TIR. Smart insulin pens provide valuable insights into treatment injection behaviors.
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Affiliation(s)
- Thomas P.A. Danne
- Diabetes Centre for Children and Adolescents, Children’s and Youth Hospital Auf der Bult, Hanover Medical School, Hanover, Germany
| | - Michael Joubert
- Diabetes Care Unit, Caen University Hospital, University of Caen Normandy, Caen, France
| | | | | | | | - Julia K. Mader
- Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
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2
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Mauldin K, Pignotti GAP, Gieng J. Measures of nutrition status and health for weight-inclusive patient care: A narrative review. Nutr Clin Pract 2024. [PMID: 38796769 DOI: 10.1002/ncp.11158] [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: 12/19/2023] [Revised: 04/07/2024] [Accepted: 04/25/2024] [Indexed: 05/28/2024] Open
Abstract
In healthcare, weight is often equated to and used as a marker for health. In examining nutrition and health status, there are many more effective markers independent of weight. In this article, we review practical and emerging clinical applications of technologies and tools used to collect non-weight-related data in nutrition assessment, monitoring, and evaluation in the outpatient setting. The aim is to provide clinicians with new ideas about various types of data to evaluate and track in nutrition care.
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Affiliation(s)
- Kasuen Mauldin
- Department of Nutrition, Food Science, and Packaging, San Jose State University, San Jose, California, USA
- Clinical Nutrition, Stanford Health Care, Stanford, California, USA
| | - Giselle A P Pignotti
- Department of Nutrition, Food Science, and Packaging, San Jose State University, San Jose, California, USA
| | - John Gieng
- Department of Nutrition, Food Science, and Packaging, San Jose State University, San Jose, California, USA
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3
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Popovic DS, Karakasis P, Koufakis T, Fragakis N, Papanas N, Mitrovic M, Gouveri E, Patoulias D. Effect of sodium-glucose cotransporter-2 inhibitors on continuous glucose monitoring metrics, as adjunctive to insulin in adults with type 1 diabetes mellitus: a meta-analysis of randomized controlled trials. Metabolism 2024; 153:155791. [PMID: 38232802 DOI: 10.1016/j.metabol.2024.155791] [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: 11/03/2023] [Revised: 12/22/2023] [Accepted: 01/09/2024] [Indexed: 01/19/2024]
Abstract
AIMS This meta-analysis of randomized controlled trials (RCTs) aimed to evaluate the effect of sodium-glucose cotransporter-2 inhibitors (SGLT2is) on continuous glucose monitoring metrics as adjunctive to insulin in adults with type 1 diabetes mellitus (T1D). METHODS A systematic literature search was conducted through Medline (via PubMed), Cochrane Library and Google Scholar until October 25, 2023. Dual-independent study selection, data extraction and quality assessment were conducted. Results were summarized with random effects meta-analysis. RESULTS Eight RCTs were identified, involving a total of 2310 T1D patients. The use of SGLT2is on top of standard insulin therapy was associated with a significantly higher time in range (TIR) compared to placebo (mean difference (MD) 9.7 %; 95 % confidence interval (CI) [8.3, 1.11]; P < 0.001). The time above range was significantly lower in patients receiving SGLT2is (MD -8.71 %; 95 % CI [-11.62, -5.79]; P < 0.001), whereas no difference was observed regarding the time below range (TBR) (MD 0.34 %; 95 % CI [-0.17, 0.85]; P = 0.19). A significantly lower sensor-recorded mean daily glucose was noted in the group receiving SGLT2is (MD -16.55 mg/dL; 95 % CI [-19.82, -13.29]; P < 0.001). When considering the metrics of glucose variability, SGLT2is demonstrated a significant favorable effect on the mean amplitude of glucose excursions (MD -16.92 mg/dL; 95 % CI [-25.31, -8.13]; P < 0.001) and the mean standard deviation of weekly glucose levels (MD -7.67 mg/dL; 95 % CI [-11, -4.35]; P < 0.001). No significant effect was observed concerning the coefficient of variation (MD -1 %; 95 % CI [-2.39, 0.4]; P = 0.16). Regarding safety outcomes, SGLT2is were significantly linked to higher odds of diabetic ketoacidosis compared to insulin alone (OR 3.18; 95 % CI [1.79, 5.66]; P < 0.001), with no significant impact on severe hypoglycemia events (OR 1; 95 % CI [0.54, 1.85]; P = 0.1). CONCLUSION Our findings suggest that in individuals with T1D, adjunct therapy with SGLT2is provides a significant benefit in terms of TIR and reduced glucose variability, without an increase in TBR.
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Affiliation(s)
- Djordje S Popovic
- Clinic for Endocrinology, Diabetes and Metabolic Disorders, Clinical Centre of Vojvodina, Medical Faculty, University of Novi Sad, Novi Sad, Serbia.
| | - Paschalis Karakasis
- Second Department of Cardiology, Aristotle University of Thessaloniki, Hippokration General Hospital, Greece
| | - Theocharis Koufakis
- Second Propaedeutic Department of Internal Medicine, Hippokration General Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Nikolaos Fragakis
- Second Department of Cardiology, Aristotle University of Thessaloniki, Hippokration General Hospital, Greece
| | - Nikolaos Papanas
- Diabetes Centre, Second Department of Internal Medicine, Democritus University of Thrace, University Hospital of Alexandroupolis, Alexandroupolis, Greece
| | - Milena Mitrovic
- Clinic for Endocrinology, Diabetes and Metabolic Disorders, Clinical Centre of Vojvodina, Medical Faculty, University of Novi Sad, Novi Sad, Serbia
| | - Evanthia Gouveri
- Diabetes Centre, Second Department of Internal Medicine, Democritus University of Thrace, University Hospital of Alexandroupolis, Alexandroupolis, Greece
| | - Dimitrios Patoulias
- Outpatient Department of Cardiometabolic Medicine, Aristotle University of Thessaloniki, Hippokration General Hospital, Greece
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Kang EYC, Shen CR, Huang XC, Kang CY, Lin TY, Hong WH, Yang LY, Wu WC, Hwang YS. Noncontact optical device for measuring blood glucose in aqueous humor: a pilot clinical study investigating correlation with blood glucose levels. JOURNAL OF BIOMEDICAL OPTICS 2024; 29:047001. [PMID: 38638839 PMCID: PMC11025639 DOI: 10.1117/1.jbo.29.4.047001] [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: 12/28/2023] [Revised: 03/06/2024] [Accepted: 03/26/2024] [Indexed: 04/20/2024]
Abstract
Significance Monitoring blood glucose levels is crucial for individuals with diabetes. Noninvasive methods for measuring serum glucose levels have been explored to aid in blood glucose control for diabetes management. Aim We introduced a noncontact optical glucometer (NCGM) for measuring glucose levels in the aqueous humor of the human eye. We also investigated the correlation between glucose levels in the NCGM and the aqueous humor, blood samples, and self-monitoring blood glucose devices. Approach The optical system used in this study measured both the near-infrared absorption and polarized rotatory distribution of glucose molecules in the human aqueous humor. This prospective study's outcomes were eye aqueous glucose level, preoperative blood glucose level, intraoperative blood glucose level, and NCGM reading of patients in a single center in Taiwan. Results The NCGM's measurements showed a strong correlation with blood glucose levels (intra-class correlation [ICC]: 0.95 to 0.98) and aqueous humor glucose levels (ICC: 0.76), indicating its ability to noninvasively measure blood glucose levels in human subjects. Conclusions This NCGM may offer a convenient, pain-free, and rapid tool for measuring blood glucose levels in diabetic patients. The device could represent a significant advancement in noncontact hybrid optical glucose measurement systems.
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Affiliation(s)
- Eugene Yu-Chuan Kang
- Chang Gung Memorial Hospital, Linkou Medical Center, Department of Ophthalmology, Taoyuan, Taiwan
- Chang Gung University, College of Medicine, School of Medicine, Taoyuan, Taiwan
- Chang Gung University, Graduate Institute of Clinical Medical Sciences, Taoyuan, Taiwan
- Columbia University Irving Medical Center, Vagelos College of Physicians and Surgeons, Department of Ophthalmology, New York, United States
| | - Chia-Rui Shen
- Chang Gung University, College of Medicine, Department of Medical Biotechnology and Laboratory Science, Taoyuan, Taiwan
| | - Xin-Cheng Huang
- Chang Gung University, College of Medicine, School of Medicine, Taoyuan, Taiwan
| | - Chun-Ya Kang
- Taipei Medical University Hospital, Department of Education, Taipei, Taiwan
| | - Tzu-Yi Lin
- Chang Gung Memorial Hospital, Linkou Medical Center, Department of Ophthalmology, Taoyuan, Taiwan
- Chang Gung University, College of Medicine, School of Medicine, Taoyuan, Taiwan
| | - Wei-Hsin Hong
- Chang Gung University, College of Medicine, Department of Medical Biotechnology and Laboratory Science, Taoyuan, Taiwan
| | - Lan-Yan Yang
- Chang Gung Memorial Hospital, Clinical Trial Center, Taoyuan, Taiwan
| | - Wei-Chi Wu
- Chang Gung Memorial Hospital, Linkou Medical Center, Department of Ophthalmology, Taoyuan, Taiwan
- Chang Gung University, College of Medicine, School of Medicine, Taoyuan, Taiwan
| | - Yih-Shiou Hwang
- Chang Gung Memorial Hospital, Linkou Medical Center, Department of Ophthalmology, Taoyuan, Taiwan
- Chang Gung University, College of Medicine, School of Medicine, Taoyuan, Taiwan
- Jen-Ai Hospital Dali Branch, Department of Ophthalmology, Taichung, Taiwan
- Xiamen Chang Gung Memorial Hospital, Department of Ophthalmology, Xiamen, China
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Shi J, Wang X, Zhang H, Ding Y, Wu J, Luo S, Hu H, Zheng X. Association between perioperative glucose profiles assessed by the continuous glucose monitoring (CGM) system and prognosis in patients with ST-segment elevation myocardial infarction (STEMI): protocol for a cohort study. BMJ Open 2024; 14:e079659. [PMID: 38316584 PMCID: PMC10860017 DOI: 10.1136/bmjopen-2023-079659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 01/03/2024] [Indexed: 02/07/2024] Open
Abstract
INTRODUCTION ST-segment elevation myocardial infarction (STEMI) presents a serious cardiovascular condition requiring prompt intervention. Dysglycaemia has been identified as a significant risk factor impacting STEMI prognosis. However, limited research has focused on comprehensively examining the association between glucose dynamics during the perioperative period and patient outcomes. This study aims to address this gap by leveraging continuous glucose monitoring (CGM) technology to gain real-time insights into glucose fluctuations and their potential impact on STEMI prognosis. METHODS AND ANALYSIS This is a multicentre, prospective, 3-year follow-up cohort study. Between May 2023 and May 2024, 550 eligible STEM patients who underwent percutaneous coronary intervention are expected to be recruited. Using the CGM system, continuous glucose levels will be collected throughout the perioperative phase. Key clinical parameters, including cardiac biomarkers, angiographic findings and major adverse cardiovascular events, will be assessed in relation to glucose profile. ETHICS AND DISSEMINATION The study was approved by the Medical Research Ethics Committee of The First Affiliated Hospital of University of Science and Technology of China and will be conducted in accordance with the moral, ethical and scientific principles of the Declaration of Helsinki. Written informed consent will be obtained from all participants before any study-related procedures are implemented. Study results will be disseminated through conferences and peer-reviewed scientific journals. TRIAL REGISTRATION NUMBER ChiCTR2300069662.
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Affiliation(s)
- Jie Shi
- Department of Endocrinology, Institute of Endocrine and Metabolic Diseases, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, Clinical Research Hospital of Chinese Academy of Sciences (Hefei), University of Science and Technology of China, Hefei, Anhui, China
| | - Xulin Wang
- Department of Endocrinology, Institute of Endocrine and Metabolic Diseases, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, Clinical Research Hospital of Chinese Academy of Sciences (Hefei), University of Science and Technology of China, Hefei, Anhui, China
| | - Hongqiang Zhang
- Department of Endocrinology, Institute of Endocrine and Metabolic Diseases, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, Clinical Research Hospital of Chinese Academy of Sciences (Hefei), University of Science and Technology of China, Hefei, Anhui, China
| | - Yu Ding
- Department of Endocrinology, Institute of Endocrine and Metabolic Diseases, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, Clinical Research Hospital of Chinese Academy of Sciences (Hefei), University of Science and Technology of China, Hefei, Anhui, China
| | - Jiawei Wu
- Department of Cardiology, The First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, Hefei, China
| | - Sihui Luo
- Department of Endocrinology, Institute of Endocrine and Metabolic Diseases, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, Clinical Research Hospital of Chinese Academy of Sciences (Hefei), University of Science and Technology of China, Hefei, Anhui, China
| | - Hao Hu
- Department of Cardiology, The First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, Hefei, China
| | - Xueying Zheng
- Department of Endocrinology, Institute of Endocrine and Metabolic Diseases, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, Clinical Research Hospital of Chinese Academy of Sciences (Hefei), University of Science and Technology of China, Hefei, Anhui, China
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Hellman J, Hartvig NV, Kaas A, Møller JB, Sørensen MR, Jendle J. Associations of bolus insulin injection frequency and smart pen engagement with glycaemic control in people living with type 1 diabetes. Diabetes Obes Metab 2024; 26:301-310. [PMID: 37926903 DOI: 10.1111/dom.15316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 09/11/2023] [Accepted: 09/21/2023] [Indexed: 11/07/2023]
Abstract
AIM To evaluate whether both bolus insulin injection frequency and smart pen engagement were associated with changes in glycaemic control, using real-world data from adults with type 1 diabetes (T1D). MATERIALS AND METHODS Adults using a smart pen (NovoPen 6) to administer bolus insulin (fast-acting insulin aspart or insulin aspart) alongside continuous glucose monitoring were eligible for inclusion. Smart pen engagement was characterized by number of days with pen data uploads over the previous 14 days. Glycaemic control was evaluated by analysing glucose metrics. RESULTS Overall, data from 1194 individuals were analysed. The number of daily bolus injections was significantly associated with time in range (TIR; 3.9-10.0 mmol/L [70-180 mg/dL]; P < 0.0001). Individuals administering, on average, three daily bolus insulin injections had an estimated 11% chance of achieving >70% TIR. The probability of achieving >70% TIR increased with the mean number of daily bolus injections. However, the percentage of TIR was lower on days when individuals administered higher-than-average numbers of injections. The observed mean number of daily bolus injections administered across the study population was lower than the optimal number required to reach glycaemic targets (4.8 injections vs. 6-8 injections). Smart pen engagement was significantly associated with improved TIR. CONCLUSIONS Glycaemic control was associated with daily bolus insulin injection frequency and smart pen engagement. A treatment regimen combining an optimal bolus injection strategy, and effective smart pen engagement, may improve glycaemic control among adults with T1D.
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Affiliation(s)
- Jarl Hellman
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | | | | | | | | | - Johan Jendle
- School of Medical Science, Faculty of Medicine and Health, Örebro University, Örebro, Sweden
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Ekberg NR, Hartvig NV, Kaas A, Møller JB, Adolfsson P. Smart Pen Exposes Missed Basal Insulin Injections and Reveals the Impact on Glycemic Control in Adults With Type 1 Diabetes. J Diabetes Sci Technol 2024; 18:66-73. [PMID: 35775735 PMCID: PMC10899845 DOI: 10.1177/19322968221104142] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Adherence to basal insulin injections and the effects of missed basal insulin injections in adults with type 1 diabetes (T1D) were investigated using data from continuous glucose monitoring (CGM) and smart insulin pen devices in a real-world study. METHODS This was a post hoc analysis of a prospective, real-world study conducted in Sweden. Adults with T1D who were using CGM received a smart insulin pen device (NovoPen 6) for insulin injections. Missed basal insulin doses (≥40 hours between doses) were evaluated over 14-day periods, and the probability of missing basal insulin doses was estimated. Associations between missed basal insulin doses and glycemic outcomes were also explored. RESULTS Thirty-two patients with 4410 acceptable CGM days (315 14-day periods) were included. The number of missed basal insulin doses ranged from 0 to 4 over 315 14-day periods. The estimated probability of missing at least one basal insulin dose over any given 14-day period was 22% (95% confidence interval: 10%-40%). Missed basal insulin doses were significantly associated with higher mean glycemic levels, higher glucose management indicator, and lower time in range (70-180 mg/dL [3.9-10.0 mmol/L]). Similar results were observed when adjusted for missed bolus insulin doses; age and sex had no statistically significant effect on any glycemic parameter. CONCLUSIONS This is the first study, based on accurate real-world injection data, to demonstrate the challenge of adherence to basal insulin injections in patients with T1D, and document that just one missed basal injection per week can result in clinically significant changes in glycemic control.
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Affiliation(s)
- Neda Rajamand Ekberg
- Center for Diabetes, Academic Specialist Center, Stockholm, Sweden
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | | | | | | | - Peter Adolfsson
- Department of Pediatrics, The Hospital of Halland, Kungsbacka, Sweden
- Institute of Clinical Sciences, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
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Bailey R, Donthi S, Markt S, Drummond C, Cullen J. Evaluating Factors Associated With Continuous Glucose Monitoring Utilization With the Type 1 Diabetes Exchange Registry. J Diabetes Sci Technol 2023; 17:1580-1589. [PMID: 35506181 PMCID: PMC10658673 DOI: 10.1177/19322968221091299] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND The 2022 American Diabetes Association (ADA) Standards of Care recommends considering use of continuous glucose monitoring (CGM) for insulin-managed diabetes mellitus (DM), but equitable access remains challenging. This study evaluates socioeconomic and demographic metrics associated with CGM use. METHODS RStudio 2021.09.1+372 was utilized to perform uni- and bivariable analysis, as well as binomial logistic regression modeling for categorical CGM use (yes/no) on the most recent cross-section from the Type 1 Diabetes Exchange (T1DX) Registry 2016-2018 cohort (n = 22 418). RESULTS Compared with White Non-Hispanic participants, Black Non-Hispanic (OR = 0.45, CI = 0.36-0.57, P < 0.001) and American Indian/Alaskan Native individuals (OR = 0.33, CI = 0.14-0.70, P = 0.008) had lower odds of CGM use. Compared with private insurance, government insurance had reduced odds of CGM use (OR = 0.59, CI = 0.52-0.66, P < 0.001). Individuals earning $100,000 or more were twice as likely to use CGMs (OR = 2.06, CI = 1.75-2.45, P < 0.001) compared with those earning <$25,000 annually. Subgroup analysis based on income bracket demonstrated that government insured individuals earning <$25,000 annually were the least likely to use CGMs (OR = 0.44, CI = 0.32-0.61, P < 0.001), as compared with private insurance. CONCLUSIONS T1DX Registry data demonstrate that CGM use follows the inverse care law, with health technology utilization inversely related to disease burden. Federal policies promoting CGM use in Medicare and Medicaid populations can facilitate the ADA's recommendation for patients with insulin-managed diabetes mellitus.
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Affiliation(s)
- Richard Bailey
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Sriya Donthi
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Sarah Markt
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Colin Drummond
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Jennifer Cullen
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, OH, USA
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Edelman S, Cheatham WW, Norton A, Close KL. Patient Perspectives on the Benefits and Challenges of Diabetes and Digital Technology. Clin Diabetes 2023; 42:243-256. [PMID: 38666210 PMCID: PMC11040029 DOI: 10.2337/cd23-0003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/28/2024]
Abstract
Diabetes technology continues to evolve, advancing with our understanding of human biology and improving our ability to treat people with diabetes. Diabetes devices are broadly classified into the following categories: glucose sensors, insulin delivery devices, and digital health care technology (i.e., software and mobile applications). When supported by education and individually tailored, technology can play a key role in optimizing outcomes. Digital devices assist in diabetes management by tracking meals, exercise, sleep, and glycemic measurements in real time, all of which can guide physicians and other clinicians in their decision-making. Here, as people with diabetes and patient advocates, as well as diabetes specialists, primary care providers, and diabetes care and education specialists, we present our perspectives on the advances, benefits, and challenges of diabetes technology in primary care practices.
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Affiliation(s)
- Steve Edelman
- University of California San Diego, Veterans Affairs Medical Center, San Diego, CA
- Taking Control of Your Diabetes, Solana Beach, CA
| | | | - Anna Norton
- National Minority Quality Forum, Washington, DC
| | - Kelly L. Close
- Close Concerns, Inc., and the diaTribe Foundation, San Francisco, CA
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10
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Jiang S, Bian J, Shi X, Hu Y. Thermosensitive Microneedles Capable of On Demand Insulin Release for Precise Diabetes Treatment. Macromol Biosci 2023; 23:e2300018. [PMID: 37114319 DOI: 10.1002/mabi.202300018] [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: 01/19/2023] [Revised: 03/27/2023] [Indexed: 04/29/2023]
Abstract
As a novel painless and minimally invasive transdermal drug delivery method, microneedles have solved the challenges of microbial infection and tissue necrosis associated with multiple subcutaneous injections in patients with diabetes. However, traditional soluble microneedles cannot switch drug release on and off according to the patient's needs during long-term use, which is one of the most critical elements of diabetes treatment. Herein, an insoluble thermosensitive microneedle (ITMN) that can control the release of insulin by adjusting the temperature, enabling the precise treatment of diabetes is designed. Thermosensitive microneedles are produced by in situ photopolymerization of the temperature-sensitive compound N-isopropylacrylamide with the hydrophilic monomer N-vinylpyrrolidone, which is encapsulated with insulin and bound to a mini-heating membrane. ITMN are demonstrated to have good mechanical strength and temperature sensitivity, can release significantly different insulin doses at different temperatures, and effectively regulate blood glucose in type I diabetic mice. Therefore, the ITMN provides a possibility for intelligent and convenient on-demand drug delivery for patients with diabetes, and when combined with blood glucose testing devices, it has the potential to form an integrated and precise closed-loop treatment for diabetes, which is of great importance in diabetes management.
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Affiliation(s)
- Sihao Jiang
- Nanjing Foreign Language School, 30 Beijing East Road, Nanjing, 210008, P. R. China
| | - Jiayi Bian
- State Key Laboratory of Natural Medicines, Department of Pharmaceutics, China Pharmaceutical University, 24 Tong Jia Xiang, Nanjing, 210009, P. R. China
- Collaborative Innovation Center of Chemistry for Life Sciences, College of Engineering and Applied Sciences, Nanjing University, 163 Xian Lin Da Dao, Nanjing, 210023, P. R. China
| | - Xintong Shi
- Nanjing Foreign Language School, 30 Beijing East Road, Nanjing, 210008, P. R. China
| | - Yong Hu
- Collaborative Innovation Center of Chemistry for Life Sciences, College of Engineering and Applied Sciences, Nanjing University, 163 Xian Lin Da Dao, Nanjing, 210023, P. R. China
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Tsutsui K, Nemoto M, Kono M, Sato T, Yoshizawa Y, Yumoto Y, Nakagawa R, Iwamoto T, Wada H, Sasaki T. GC-MS analysis of exhaled gas for fine detection of inflammatory diseases. Anal Biochem 2023; 671:115155. [PMID: 37059321 DOI: 10.1016/j.ab.2023.115155] [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: 12/05/2022] [Revised: 04/04/2023] [Accepted: 04/12/2023] [Indexed: 04/16/2023]
Abstract
Exhaled gas analysis is a non-invasive test ideal for continuous monitoring of biological metabolic information. We analyzed the exhaled gas of patients with inflammatory diseases for trace gas components that could serve as biomarkers that enable early detection of inflammatory diseases and assessment of treatment efficacy. Furthermore, we examined the clinical potential of this method. We enrolled 34 patients with inflammatory disease and 69 healthy participants. Volatile components from exhaled gas were collected and analyzed by a gas chromatography-mass spectrometry system, and the data were examined for gender, age, inflammatory markers, and changes in markers before and after treatment. The data were tested for statistical significance through discriminant analysis by Volcano plot, Analysis of variance test, principal component analysis, and cluster analysis comparing healthy and patient groups. There were no significant differences in the trace components of exhaled gas by gender or age. However, we found differences in some components of the exhaled gas between healthy and untreated patients. In addition, after treatment, gas patterns including the patient-specific components changed to a state closer to the inflammation-free status. We identified trace components in the exhaled gas of patients with inflammatory diseases and found that some of these regressed after treatment.
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Affiliation(s)
- K Tsutsui
- Department of General Internal Medicine, Katsushika Medical Center, The Jikei University School of Medicine, Japan
| | - M Nemoto
- Department of General Internal Medicine, Katsushika Medical Center, The Jikei University School of Medicine, Japan.
| | - M Kono
- Institute of Clinical Medicine and Research, The Jikei University School of Medicine, Japan; Department of Laboratory Medicine, The Jikei University School of Medicine, Japan
| | - T Sato
- Institute of Clinical Medicine and Research, The Jikei University School of Medicine, Japan; Faculty of Pharmaceutical Sciences, Tokyo University of Science, Japan
| | - Y Yoshizawa
- Institute of Clinical Medicine and Research, The Jikei University School of Medicine, Japan
| | - Y Yumoto
- Institute of Clinical Medicine and Research, The Jikei University School of Medicine, Japan
| | | | - T Iwamoto
- Core Research Facilities for Basic Science, The Jikei University School of Medicine, Japan
| | - H Wada
- Faculty of Pharmaceutical Sciences, Tokyo University of Science, Japan
| | - T Sasaki
- Institute of Clinical Medicine and Research, The Jikei University School of Medicine, Japan; Sasaki Institute, Sasaki Foundation, Japan
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12
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Chatwin H, Broadley M, de Galan B, Bazelmans E, Speight J, Pouwer F, Nefs G. Effectiveness of educational and behavioural interventions for reducing fear of hypoglycaemia among adults with type 1 diabetes: Systematic review and meta-analyses. Diabet Med 2023; 40:e15071. [PMID: 36807935 DOI: 10.1111/dme.15071] [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: 08/15/2022] [Revised: 02/02/2023] [Accepted: 02/16/2023] [Indexed: 02/20/2023]
Abstract
AIMS To summarize and critically appraise evidence regarding the effectiveness of educational and/or behavioural interventions in reducing fear of hypoglycaemia among adults with type 1 diabetes. METHODS Systematic searches of medical and psychology databases were conducted. Risk-of-bias was assessed using the Joanna Briggs Institute Critical Appraisal Tools. Data were synthesized using random-effects meta-analyses for randomized controlled trials (RCTs) and narrative synthesis for observational studies. RESULTS Five RCTs (N = 682) and seven observational studies (N = 1519) met the inclusion criteria, reporting on behavioural, structured education and cognitive-behavioural therapy (CBT) interventions. Most studies assessed fear of hypoglycaemia using the Hypoglycaemia Fear Survey Worry (HFS-W) and Behaviour (HFS-B) subscales. Mean fear of hypoglycaemia at baseline was relatively low across studies. Meta-analyses showed a significant effect of interventions on HFS-W (SMD = -0.17, p = 0.032) but not on HFS-B scores (SMD = -0.34, p = 0.113). Across RCTs, Blood Glucose Awareness Training (BGAT) had the largest effect on HFS-W and HFS-B scores, and one CBT-based program was as effective as BGAT in reducing HFS-B scores. Observational studies showed that Dose Adjustment for Normal Eating (DAFNE) was associated with significant fear of hypoglycaemia reductions. CONCLUSIONS Current evidence suggests that educational and behavioural interventions can reduce fear of hypoglycaemia. However, no study to date has examined these interventions among people with high fear of hypoglycaemia.
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Affiliation(s)
- Hannah Chatwin
- Department of Psychology, University of Southern Denmark, Odense, Denmark
- National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark
| | - Melanie Broadley
- Department of Psychology, University of Southern Denmark, Odense, Denmark
| | - Bastiaan de Galan
- Department of Internal Medicine, Radboud University Medical Centre, Nijmegen, Netherlands
- Department of Internal Medicine, Maastricht University Medical Center+, Maastricht, Netherlands
- CARIM School for Cardiovascular Disease, Maastricht University, Maastricht, Netherlands
| | - Ellen Bazelmans
- Department of Medical Psychology, Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, Netherlands
| | - Jane Speight
- Department of Psychology, University of Southern Denmark, Odense, Denmark
- School of Psychology, Deakin University, Geelong, Australia
- The Australian Centre for Behavioural Research in Diabetes, Diabetes Victoria, Melbourne, Australia
| | - Frans Pouwer
- Department of Psychology, University of Southern Denmark, Odense, Denmark
- Steno Diabetes Center Odense, Odense, Denmark
- Department of Medical Psychology, Amsterdam UMC, Amsterdam, The Netherlands
| | - Giesje Nefs
- Department of Medical Psychology, Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, Netherlands
- Department of Medical and Clinical Psychology, Tilburg University, Center of Research on Psychological disorders and Somatic diseases (CoRPS), Tilburg, Netherlands
- Diabeter, Center for Type 1 Diabetes Care and Research, Rotterdam, Netherlands
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13
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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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14
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Knezevich E, Fuji KT, Larson K, Muniz G. A Cross-Sectional Survey Study Examining the Provision of Continuous Glucose Monitoring Education in U.S. Doctor of Pharmacy Programs. PHARMACY 2022; 10:pharmacy10060174. [PMID: 36548330 PMCID: PMC9785425 DOI: 10.3390/pharmacy10060174] [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: 11/03/2022] [Revised: 12/09/2022] [Accepted: 12/11/2022] [Indexed: 12/23/2022] Open
Abstract
Continuous glucose monitoring (CGM) is used to help patients with diabetes and their healthcare providers more effectively manage care. CGM use is expanding to all healthcare settings where pharmacists practice and new pharmacy graduates may increasingly be asked to assist patients utilizing CGM devices and assess diabetes management through the interpretation of CGM data. The purpose of this study was to describe CGM education across Doctor of Pharmacy (Pharm.D.) programs in the United States. An online survey was administered to 139 accredited Pharm.D. programs. Information was solicited about CGM education, including curricular placement, course type, hands-on experience, and credential(s) of faculty providing the education. Fifty-seven programs responded with 51 (89.5%) providing CGM education for a median of 1.0 h. Of programs providing detailed responses, content was delivered in required (60.4%) or elective (45.8%) lectures as well as experiential settings (41.7%). Education occurred most frequently in the third year (58.3%), followed by the second (43.8%) and fourth (37.5%) years. Thirty-one (66.0%) programs were taught by a faculty member with an advanced diabetes credential. The results from this study confirm that there is an ongoing need to examine optimal amount, timing, and methods for providing CGM education.
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Affiliation(s)
- Emily Knezevich
- Department of Pharmacy Practice, Creighton University School of Pharmacy & Health Professions, Omaha, NE 68178, USA
- Correspondence:
| | - Kevin T. Fuji
- Department of Pharmacy Practice, Creighton University School of Pharmacy & Health Professions, Omaha, NE 68178, USA
| | - Krysta Larson
- Pharm.D. Candidates, Creighton University School of Pharmacy & Health Professions, Omaha, NE 68178, USA
| | - Gabrielle Muniz
- Pharm.D. Candidates, Creighton University School of Pharmacy & Health Professions, Omaha, NE 68178, USA
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15
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Marco A, Pazos-Couselo M, Moreno-Fernandez J, Díez-Fernández A, Alonso-Sampedro M, Fernández-Merino C, Gonzalez-Quintela A, Gude F. Time above range for predicting the development of type 2 diabetes. Front Public Health 2022; 10:1005513. [PMID: 36568777 PMCID: PMC9772988 DOI: 10.3389/fpubh.2022.1005513] [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: 09/09/2022] [Accepted: 11/23/2022] [Indexed: 12/13/2022] Open
Abstract
Aim To investigate the prognostic value of time range metrics, as measured by continuous glucose monitoring, with respect to the development of type 2 diabetes (T2D). Research design and methods A total of 499 persons without diabetes from the general population were followed-up for 5 years. Time range metrics were measured at the start and medical records were checked over the period study. Results Twenty-two subjects (8.3 per 1,000 person-years) developed T2D. After adjusting for age, gender, family history of diabetes, body mass index and glycated hemoglobin concentration, multivariate analysis revealed 'time above range' (TAR, i.e., with a plasma glucose concentration of >140 mg/dL) to be significantly associated with a greater risk (OR = 1.06, CI 1.01-1.11) of developing diabetes (AUC = 0.94, Brier = 0.035). Conclusions Time above range provides additional information to that offered by glycated hemoglobin to identify patients at a higher risk of developing type 2 diabetes in a population-based study.
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Affiliation(s)
- Alejandra Marco
- Primary Care Center, Santiago de Compostela, Spain,Research Methods (RESMET), Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain
| | - Marcos Pazos-Couselo
- Research Methods (RESMET), Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain,Department of Psychiatry, Radiology, Public Health, Nursing and Medicine, University of Santiago de Compostela, Santiago de Compostela, Spain,*Correspondence: Marcos Pazos-Couselo
| | - Jesús Moreno-Fernandez
- Endocrinology and Nutrition Service, Ciudad Real General University Hospital, Ciudad Real, Spain
| | - Ana Díez-Fernández
- Facultad de Enfermería de Cuenca, Universidad de Castilla-La Mancha, Cuenca, Spain
| | - Manuela Alonso-Sampedro
- Research Methods (RESMET), Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain,Department of Clinical Epidemiology, Hospital Clínico Universitario de Santiago de Compostela, Santiago de Compostela, Spain
| | - Carmen Fernández-Merino
- Research Methods (RESMET), Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain,Primary Care Center, A Estrada, Spain
| | - Arturo Gonzalez-Quintela
- Research Methods (RESMET), Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain,Department of Internal Medicine, Hospital Clínico Universitario de Santiago, Santiago de Compostela, Spain
| | - Francisco Gude
- Research Methods (RESMET), Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain,Department of Psychiatry, Radiology, Public Health, Nursing and Medicine, University of Santiago de Compostela, Santiago de Compostela, Spain,Department of Clinical Epidemiology, Hospital Clínico Universitario de Santiago de Compostela, Santiago de Compostela, Spain
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Lin YH, Lin CH, Huang YY, Chen HY, Tai AS, Fu SC, Hsieh SH, Sun JH, Chen ST, Lin SH. Regimen comprising GLP-1 receptor agonist and basal insulin can decrease the effect of food on glycemic variability compared to a pre-mixed insulin regimen. Eur J Med Res 2022; 27:273. [PMID: 36463197 PMCID: PMC9719195 DOI: 10.1186/s40001-022-00892-9] [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: 09/30/2022] [Accepted: 11/07/2022] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND Increasing evidence suggests that glucagon-like peptide 1 (GLP-1) receptor agonists (RA) can stabilize glycemic variability (GV) and interfere with eating behavior. This study compared the impact of insulin, GLP-1 RA, and dietary components on GV using professional continuous glucose monitoring (CGM). METHODS Patients with type 2 diabetes underwent CGM before and after switching from a twice-daily pre-mixed insulin treatment regimen to a GLP-1 RA (liraglutide) plus basal insulin regimen. The dietary components were recorded and analyzed by a certified dietitian. The interactions between the medical regimen, GV indices, and nutrient components were analyzed. RESULTS Sixteen patients with type 2 diabetes were enrolled in this study. No significant differences in the diet components and total calorie intake between the two regimens were found. Under the pre-mixed insulin regimen, for increase in carbohydrate intake ratio, mean amplitude of glucose excursion (MAGE) and standard deviation (SD) increased; in contrast, under the new regimen, for increase in fat intake ratio, MAGE and SD decreased, while when the protein intake ratio increased, the coefficient of variation (CV) decreased. The impact of the food intake ratio on GV indices disappeared under the GLP-1 RA regimen. After switching to the GLP-1 RA regimen, the median MAGE, SD, and CV values decreased significantly. However, the significant difference in GV between the two regimens decreased during the daytime. CONCLUSION A GLP-1 RA plus basal insulin regimen can stabilize GV better than a regimen of twice-daily pre-mixed insulin, especially in the daytime, and can diminish the effect of food components on GV.
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Affiliation(s)
- Yi-Hsuan Lin
- grid.454211.70000 0004 1756 999XDivision of Endocrinology and Metabolism, Department of Internal Medicine, Chang Gung Memorial Hospital, Linkou branch, Taoyuan, Taiwan
| | - Chia-Hung Lin
- grid.454211.70000 0004 1756 999XDivision of Endocrinology and Metabolism, Department of Internal Medicine, Chang Gung Memorial Hospital, Linkou branch, Taoyuan, Taiwan ,grid.145695.a0000 0004 1798 0922Department of Chinese Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Yu-Yao Huang
- grid.454211.70000 0004 1756 999XDivision of Endocrinology and Metabolism, Department of Internal Medicine, Chang Gung Memorial Hospital, Linkou branch, Taoyuan, Taiwan ,grid.454211.70000 0004 1756 999XDepartment of Medical Nutrition Therapy, Chang Gung Memorial Hospital, Linkou branch, Taoyuan, Taiwan
| | - Hsin-Yun Chen
- grid.454211.70000 0004 1756 999XDivision of Endocrinology and Metabolism, Department of Internal Medicine, Chang Gung Memorial Hospital, Linkou branch, Taoyuan, Taiwan
| | - An-Shun Tai
- grid.260539.b0000 0001 2059 7017Institute of Statistics, National Chiao Tung University, 1001 University Road, Hsinchu, 300 Taiwan
| | - Shih-Chen Fu
- grid.260539.b0000 0001 2059 7017Institute of Statistics, National Chiao Tung University, 1001 University Road, Hsinchu, 300 Taiwan
| | - Sheng-Hwu Hsieh
- grid.454211.70000 0004 1756 999XDivision of Endocrinology and Metabolism, Department of Internal Medicine, Chang Gung Memorial Hospital, Linkou branch, Taoyuan, Taiwan
| | - Jui-Hung Sun
- grid.454211.70000 0004 1756 999XDivision of Endocrinology and Metabolism, Department of Internal Medicine, Chang Gung Memorial Hospital, Linkou branch, Taoyuan, Taiwan
| | - Szu-Tah Chen
- grid.454211.70000 0004 1756 999XDivision of Endocrinology and Metabolism, Department of Internal Medicine, Chang Gung Memorial Hospital, Linkou branch, Taoyuan, Taiwan
| | - Sheng-Hsuan Lin
- grid.260539.b0000 0001 2059 7017Institute of Statistics, National Chiao Tung University, 1001 University Road, Hsinchu, 300 Taiwan
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17
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Association between visit-to-visit fasting glycemic variability and depression: a retrospective cohort study in a representative Korean population without diabetes. Sci Rep 2022; 12:18692. [PMID: 36333430 PMCID: PMC9636237 DOI: 10.1038/s41598-022-22302-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Accepted: 10/12/2022] [Indexed: 11/06/2022] Open
Abstract
Glycemic variability (GV) is a risk factor for depression in patients with diabetes. However, whether it is also a predictor of incident depression in people without diabetes remains unclear. We aimed to investigate the association between visit-to-visit variability in fasting serum glucose (FSG) levels and the incidence of depression among Koreans without diabetes. This retrospective cohort study included data of people without diabetes who did not have depression at baseline and had at least three FSG measurements (n = 264,480) extracted from the 2002-2007 Korean National Health Insurance Service-National Health Screening Cohort. GV was calculated as the average successive variability of FSG. Among 264,480 participants, 198,267 were observed during 2008-2013 and their hazard ratios (HR) of incident depression were calculated. Participants with the highest GV showed a higher risk of depression in fully adjusted models than those with the lowest GV (HR, 1.09; 95% CI, 1.02-1.16). The risk of incident depression heightened with increasing GV (p for trend < 0.001). Greater visit-to-visit GV may be associated with the risk of developing depression in people without diabetes. Conversely, maintaining steady FSG levels may reduce the risk of incident depression in people without diabetes.
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18
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Althobaiti M. In Silico Investigation of SNR and Dermis Sensitivity for Optimum Dual-Channel Near-Infrared Glucose Sensor Designs for Different Skin Colors. BIOSENSORS 2022; 12:805. [PMID: 36290941 PMCID: PMC9599199 DOI: 10.3390/bios12100805] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/21/2022] [Revised: 09/25/2022] [Accepted: 09/26/2022] [Indexed: 06/16/2023]
Abstract
Diabetes is a serious health condition that requires patients to regularly monitor their blood glucose level, making the development of practical, compact, and non-invasive techniques essential. Optical glucose sensors-and, specifically, NIR sensors-have the advantages of being non-invasive, compact, inexpensive, and user-friendly devices. However, these sensors have low accuracy and are yet to be adopted by healthcare providers. In our previous work, we introduced a non-invasive dual-channel technique for NIR sensors, in which a long channel is utilized to measure the glucose level in the inner skin (dermis) layer, while a short channel is used to measure the noise signal of the superficial skin (epidermis) layer. In this work, we investigated the use of dual-NIR channels for patients with different skin colors (i.e., having different melanin concentrations). We also adopted a Monte Carlo simulation model that takes into consideration the differences between different skin layers, in terms of blood content, water content, melanin concentration in the epidermis layer, and skin optical proprieties. On the basis of the signal-to-noise ratio, as well as the sensitivities of both the epidermis and dermis layers, we suggest the selection of wavelengths and source-to-detector separation for optimal NIR channels under different skin melanin concentrations. This work facilitates the improved design of a compact and non-invasive NIR glucose sensor that can be utilized by patients with different skin colors.
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Affiliation(s)
- Murad Althobaiti
- Biomedical Engineering Department, College of Engineering, Imam Abdulrahman Bin Faisal University, Dammam 31441, Saudi Arabia
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19
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Di Mario C, Genovese S, Lanza GA, Mannucci E, Marenzi G, Sciatti E, Pitocco D. Role of continuous glucose monitoring in diabetic patients at high cardiovascular risk: an expert-based multidisciplinary Delphi consensus. Cardiovasc Diabetol 2022; 21:164. [PMID: 36030229 PMCID: PMC9420264 DOI: 10.1186/s12933-022-01598-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2022] [Accepted: 07/14/2022] [Indexed: 11/26/2022] Open
Abstract
Background Continuous glucose monitoring (CGM) shows in more detail the glycaemic pattern of diabetic subjects and provides several new parameters (“glucometrics”) to assess patients’ glycaemia and consensually guide treatment. A better control of glucose levels might result in improvement of clinical outcome and reduce disease complications. This study aimed to gather an expert consensus on the clinical and prognostic use of CGM in diabetic patients at high cardiovascular risk or with heart disease. Methods A list of 22 statements concerning type of patients who can benefit from CGM, prognostic impact of CGM in diabetic patients with heart disease, CGM use during acute cardiovascular events and educational issues of CGM were developed. Using a two-round Delphi methodology, the survey was distributed online to 42 Italian experts (21 diabetologists and 21 cardiologists) who rated their level of agreement with each statement on a 5-point Likert scale. Consensus was predefined as more than 66% of the panel agreeing/disagreeing with any given statement. Results Forty experts (95%) answered the survey. Every statement achieved a positive consensus. In particular, the panel expressed the feeling that CGM can be prognostically relevant for every diabetic patient (70%) and that is clinically useful also in the management of those with type 2 diabetes not treated with insulin (87.5%). The assessment of time in range (TIR), glycaemic variability (GV) and hypoglycaemic/hyperglycaemic episodes were considered relevant in the management of diabetic patients with heart disease (92.5% for TIR, 95% for GV, 97.5% for time spent in hypoglycaemia) and can improve the prognosis of those with ischaemic heart disease (100% for hypoglycaemia, 90% for hyperglycaemia) or with heart failure (87.5% for hypoglycaemia, 85% for TIR, 87.5% for GV). The experts retained that CGM can be used and can impact the short- and long-term prognosis during an acute cardiovascular event. Lastly, CGM has a recognized educational role for diabetic subjects. Conclusions According to this Delphi consensus, the clinical and prognostic use of CGM in diabetic patients at high cardiovascular risk is promising and deserves dedicated studies to confirm the experts’ feelings.
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Affiliation(s)
- Carlo Di Mario
- Cardiology Unit, AOU Careggi and University of Florence, Florence, Italy
| | - Stefano Genovese
- Diabetes, Endocrine and Metabolic Diseases Unit, Centro Cardiologico Monzino IRCCS, Milan, Italy.
| | - Gaetano A Lanza
- Noninvasive Diagnostic Cardiology Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Edoardo Mannucci
- Diabetology Unit, AOU Careggi and University of Florence, Florence, Italy
| | - Giancarlo Marenzi
- Intensive Cardiac Care Unit, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | | | - Dario Pitocco
- Diabetology Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
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Rossi A, Venema A, Haarsma P, Feldbrugge L, Burghard R, Rodriguez-Buritica D, Parenti G, Oosterveer MH, Derks TGJ. A Prospective Study on Continuous Glucose Monitoring in Glycogen Storage Disease Type Ia: Toward Glycemic Targets. J Clin Endocrinol Metab 2022; 107:e3612-e3623. [PMID: 35786777 PMCID: PMC9387687 DOI: 10.1210/clinem/dgac411] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Indexed: 11/19/2022]
Abstract
CONTEXT Although previous research has shown the benefit of continuous glucose monitoring (CGM) for hepatic glycogen storage diseases (GSDs), current lack of prospectively collected CGM metrics and glycemic targets for CGM-derived outcomes in the hepatic GSD population limits its use. OBJECTIVE To assess CGM metrics for glycemic variation and glycemic control in adult patients with GSDIa as compared to matched healthy volunteers. DESIGN Prospective CGM data were collected during the ENGLUPRO GSDIa trial (NCT04311307) in which a Dexcom G6 device was used. Ten adult patients with GSDIa and 10 age-, sex- and body mass index-matched healthy volunteers were enrolled. Capillary blood glucose was concurrently measured during 2 standardized 2-hour time intervals. Descriptive [eg, glycemic variability (GV), time below range, time in range (TIR), time above range (TAR)] and advanced (ie, first- and second-order derivatives, Fourier analysis) CGM outcomes were calculated. For each descriptive CGM outcome measure, 95% CIs were computed in patients with GSDIa and healthy volunteers, respectively. RESULTS CGM overestimation was higher under preprandial and level 1 hypoglycemia (ie, capillary glucose values ≥ 3.0 mmol/L and < 3.9 mmol/L) conditions. GV and TAR were higher while TIR was lower in patients with GSDIa compared to healthy volunteers (P < 0.05). Three patients with GSDIa showed descriptive CGM outcomes outside the calculated 95% CI in GSDIa patients. Advanced CGM analysis revealed a distinct pattern (ie, first- and second-order derivatives and glucose curve amplitude) in each of these 3 patients within the patients group. CONCLUSIONS This is the first study to prospectively compare CGM outcomes between adult patients with GSDIa and matched healthy volunteers. The generation of a set of CGM metrics will provide guidance in using and interpreting CGM data in GSDIa and will be useful for the definition of glycemic targets for CGM in patients with GSDIa. Future studies should investigate the prognostic value of CGM outcomes and their major determinants in patients with GSDIa.
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Affiliation(s)
- Alessandro Rossi
- Section of Metabolic Diseases, Beatrix Children’s Hospital, University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands
- Department of Translational Medicine, Section of Pediatrics, University of Naples “Federico II,”Naples, Italy
| | - Annieke Venema
- Section of Metabolic Diseases, Beatrix Children’s Hospital, University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands
| | - Petra Haarsma
- Section of Metabolic Diseases, Beatrix Children’s Hospital, University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands
| | | | | | - David Rodriguez-Buritica
- Division of Medical Genetics, Department of Pediatrics, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX,USA
| | - Giancarlo Parenti
- Department of Translational Medicine, Section of Pediatrics, University of Naples “Federico II,”Naples, Italy
- Telethon Institute of Genetics and Medicine, Pozzuoli, Italy
| | - Maaike H Oosterveer
- Department of Pediatrics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Terry G J Derks
- Correspondence: Terry G. J. Derks, MD, PhD, University of Groningen, University Medical Center Groningen, Beatrix Children’s Hospital, Section of Metabolic Diseases, PO Box 30.001, 9700 RB Groningen, The Netherlands.
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Rossi A, Rutten MGS, van Dijk TH, Bakker BM, Reijngoud DJ, Oosterveer MH, Derks TGJ. Dynamic Methods for Childhood Hypoglycemia Phenotyping: A Narrative Review. Front Endocrinol (Lausanne) 2022; 13:858832. [PMID: 35789807 PMCID: PMC9249565 DOI: 10.3389/fendo.2022.858832] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [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: 04/27/2022] [Indexed: 11/25/2022] Open
Abstract
Hypoglycemia results from an imbalance between glucose entering the blood compartment and glucose demand, caused by a defect in the mechanisms regulating postprandial glucose homeostasis. Hypoglycemia represents one of the most common metabolic emergencies in childhood, potentially leading to serious neurologic sequelae, including death. Therefore, appropriate investigation of its specific etiology is paramount to provide adequate diagnosis, specific therapy and prevent its recurrence. In the absence of critical samples for biochemical studies, etiological assessment of children with hypoglycemia may include dynamic methods, such as in vivo functional tests, and continuous glucose monitoring. By providing detailed information on actual glucose fluxes in vivo, proof-of-concept studies have illustrated the potential (clinical) application of dynamic stable isotope techniques to define biochemical and clinical phenotypes of inherited metabolic diseases associated with hypoglycemia. According to the textbooks, individuals with glycogen storage disease type I (GSD I) display the most severe hypoglycemia/fasting intolerance. In this review, three dynamic methods are discussed which may be considered during both diagnostic work-up and monitoring of children with hypoglycemia: 1) functional in vivo tests; 2) in vivo metabolic profiling by continuous glucose monitoring (CGM); 3) stable isotope techniques. Future applications and benefits of dynamic methods in children with hypoglycemia are also discussed.
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Affiliation(s)
- Alessandro Rossi
- Section of Metabolic Diseases, Beatrix Children's Hospital, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
- Department of Translational Medicine, Section of Pediatrics, University of Naples "Federico II", Naples, Italy
| | - Martijn G S Rutten
- Laboratory of Pediatrics, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Theo H van Dijk
- Department of Laboratory Medicine, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Barbara M Bakker
- Laboratory of Pediatrics, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Dirk-Jan Reijngoud
- Laboratory of Pediatrics, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Maaike H Oosterveer
- Laboratory of Pediatrics, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Terry G J Derks
- Section of Metabolic Diseases, Beatrix Children's Hospital, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
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22
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Martens TW, Parkin CG. How use of continuous glucose monitoring can address therapeutic inertia in primary care. Postgrad Med 2022; 134:576-588. [PMID: 35584802 DOI: 10.1080/00325481.2022.2080419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
A significant proportion of individuals with diabetes have suboptimal glycemic management. Studies have shown that persistent hyperglycemia significantly increases the risks for both acute and long-term microvascular and macrovascular complications of diabetes. A key contributor to suboptimal glycemic management is therapeutic inertia in which clinicians delay intensifying therapy when patients are not meeting their glycemic goals. During the past five years, an increasing number of individuals with type 1 diabetes (T1D) and insulin-treated type 2 diabetes (T2D) have adopted use of continuous glucose monitoring (CGM) for daily measurement of glucose levels. As demonstrated in numerous clinical trials and real-world observational studies, use of CGM improves glycated hemoglobin (HbA1c) and reduces the occurrence and severity of hypoglycemia. However, for primary care clinicians who are unfamiliar with using CGM, integrating this technology into clinical practice can be daunting. In this article, we discuss the benefits and rationale for using CGM compared with traditional blood glucose monitoring (BGM), review the evidence supporting the clinical value of CGM in patients with T1D and T2D, and describe how use of CGM in primary care can facilitate appropriate and more timely therapy adjustments.
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Affiliation(s)
- Thomas W Martens
- International Diabetes Center, HealthPartners Institute, Park Nicollet Clinic Department of Internal Medicine, MN, USA
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Yapanis M, James S, Craig ME, O’Neal D, Ekinci EI. Complications of Diabetes and Metrics of Glycemic Management Derived From Continuous Glucose Monitoring. J Clin Endocrinol Metab 2022; 107:e2221-e2236. [PMID: 35094087 PMCID: PMC9113815 DOI: 10.1210/clinem/dgac034] [Citation(s) in RCA: 58] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Indexed: 11/19/2022]
Abstract
CONTEXT Although glycated hemoglobin A1c is currently the best parameter used clinically to assess risk for the development of diabetes complications, it does not provide insight into short-term fluctuations in glucose levels. This review summarizes the relationship between continuous glucose monitoring (CGM)-derived metrics of glycemic variability and diabetes-related complications. EVIDENCE ACQUISITION PubMed and Embase databases were searched from January 1, 2010 to August 22, 2020, using the terms type 1 diabetes, type 2 diabetes, diabetes-related microvascular and macrovascular complications, and measures of glycaemic variability. Exclusion criteria were studies that did not use CGM and studies involving participants who were not diabetic, acutely unwell (post stroke, post surgery), pregnant, or using insulin pumps. EVIDENCE SYNTHESIS A total of 1636 records were identified, and 1602 were excluded, leaving 34 publications in the final review. Of the 20 852 total participants, 663 had type 1 diabetes (T1D) and 19 909 had type 2 diabetes (T2D). Glycemic variability and low time in range (TIR) showed associations with all studied microvascular and macrovascular complications of diabetes. Notably, higher TIR was associated with reduced risk of albuminuria, retinopathy, cardiovascular disease mortality, all-cause mortality, and abnormal carotid intima-media thickness. Peripheral neuropathy was predominantly associated with standard deviation of blood glucose levels (SD) and mean amplitude of glycemic excursions (MAGE). CONCLUSION The evidence supports the association between diabetes complications and CGM-derived measures of intraday glycemic variability. TIR emerged as the most consistent measure, supporting its emerging role in clinical practice. More longitudinal studies and trials are required to confirm these associations, particularly for T1D, for which there are limited data.
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Affiliation(s)
- Michael Yapanis
- Department of Medicine, the University of Melbourne, Parkville 3052, Victoria, Australia
- Department of Endocrinology, Austin Health, Heidelberg 3084, Victoria, Australia
| | - Steven James
- School of Nursing, Midwifery and Paramedicine, the University of the Sunshine Coast, Petrie 4052, Queensland, Australia
| | - Maria E Craig
- School of Clinical Medicine, UNSW Medicine and Health, Discipline of Paediatrics and Child Health, UNSW 2052, NSW, Australia
- The University of Sydney Children’s Hospital Westmead Clinical School, Westmead 2145, NSW, Australia
| | - David O’Neal
- Department of Medicine, the University of Melbourne, Parkville 3052, Victoria, Australia
- Department of Endocrinology, St Vincent’s Hospital, Fitzroy 3065, Victoria, Australia
| | - Elif I Ekinci
- Department of Medicine, the University of Melbourne, Parkville 3052, Victoria, Australia
- Department of Endocrinology, Austin Health, Heidelberg 3084, Victoria, Australia
- Correspondence: Elif I. Ekinci, PhD, Level 1 Centaur Building, Heidelberg Repatriation Hospital, 330 Waterdale Rd, Heidelberg Heights 3081, Victoria, Australia.
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Czupryniak L, Dzida G, Fichna P, Jarosz-Chobot P, Gumprecht J, Klupa T, Mysliwiec M, Szadkowska A, Bomba-Opon D, Czajkowski K, Malecki MT, Zozulinska-Ziolkiewicz DA. Ambulatory Glucose Profile (AGP) Report in Daily Care of Patients with Diabetes: Practical Tips and Recommendations. Diabetes Ther 2022; 13:811-821. [PMID: 35278195 PMCID: PMC8991298 DOI: 10.1007/s13300-022-01229-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Accepted: 02/08/2022] [Indexed: 12/01/2022] Open
Abstract
The ambulatory glucose profile (AGP) is now established as the standardised, practical one-page report for graphically presenting a summary of glycaemic control status in patients with diabetes who use continuous glucose monitoring (CGM) systems as part of their daily diabetes care. The AGP report provides both a visual and a statistical summary of the glucose metrics that, as agreed in the 2019 international consensus for assessing glycaemic control, should be analysed in all people with diabetes who are using CGM systems. The AGP report can be analysed in a systematic fashion to understand current glycaemic control and to monitor, in real time, the impact of adjustments to therapy in both type 1 diabetes and type 2 diabetes. Here we provide a practical guide to the glycaemic measures that are summarised in the AGP Report and illustrate the essential components of an AGP review in a series of hypothetical, real-world, patient-centred case studies (see Supplementary Materials).
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Affiliation(s)
- Leszek Czupryniak
- Department of Diabetology and Internal Medicine, Medical University of Warsaw, Warsaw, Poland
| | - Grzegorz Dzida
- Department of Internal Diseases, Medical University of Lublin, Lublin, Poland
| | - Piotr Fichna
- Department of Pediatric Diabetes, Auxology and Obesity, Poznan University of Medical Sciences, Poznan, Poland
| | | | - Janusz Gumprecht
- Department of Internal Medicine, Diabetology and Nephrology, Medical University of Silesia, Katowice, Poland
| | - Tomasz Klupa
- Department of Metabolic Diseases, Jagiellonian University Medical College, Krakow, Poland
| | - Malgorzata Mysliwiec
- Department of Pediatrics, Diabetology and Endocrinology, Medical University of Gdansk, Gdansk, Poland
| | - Agnieszka Szadkowska
- Department of Pediatrics, Diabetology, Endocrinology and Nephrology, Medical University of Lodz, Lodz, Poland
| | - Dorota Bomba-Opon
- 1st Department of Obstetrics and Gynecology, Medical University of Warsaw, Warsaw, Poland
| | - Krzysztof Czajkowski
- 2nd Department of Obstetrics and Gynecology, Medical University of Warsaw, Warsaw, Poland
| | - Maciej T Malecki
- Department of Metabolic Diseases, Jagiellonian University Medical College, Krakow, Poland
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25
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Teo E, Hassan N, Tam W, Koh S. Effectiveness of continuous glucose monitoring in maintaining glycaemic control among people with type 1 diabetes mellitus: a systematic review of randomised controlled trials and meta-analysis. Diabetologia 2022; 65:604-619. [PMID: 35141761 DOI: 10.1007/s00125-021-05648-4] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Accepted: 11/02/2021] [Indexed: 12/13/2022]
Abstract
AIMS/HYPOTHESIS The aim of this work was to assess the effectiveness of continuous glucose monitoring (CGM) vs self-monitoring of blood glucose (SMBG) in maintaining glycaemic control among people with type 1 diabetes mellitus. METHODS Cochrane Library, PubMed, Embase, CINAHL, Scopus, trial registries and grey literature were searched from 9 June 2011 until 22 December 2020 for RCTs comparing CGM intervention against SMBG control among the non-pregnant individuals with type 1 diabetes mellitus of all ages and both sexes on multiple daily injections or continuous subcutaneous insulin infusion with HbA1c levels, severe hypoglycaemia and diabetic ketoacidosis (DKA) as outcomes. Studies also included any individual or caregiver-led CGM systems. Studies involving GlucoWatch were excluded. Risk of bias was appraised with Cochrane risk of bias tool. Meta-analysis and meta-regression were performed using Review Manager software and R software, respectively. Heterogeneity was evaluated using χ2 and I2 statistics. Overall effects and certainty of evidence were evaluated using Z statistic and GRADE (Grading of Recommendations, Assessment, Development and Evaluation) software. RESULTS Twenty-two studies, involving 2188 individuals with type 1 diabetes, were identified. Most studies had low risk of bias. Meta-analysis of 21 studies involving 2149 individuals revealed that CGM significantly decreased HbA1c levels compared with SMBG (mean difference -2.46 mmol/mol [-0.23%] [95% CI -3.83, -1.08], Z = 3.50, p=0.0005), with larger effects experienced among higher baseline HbA1c >64 mmol/mol (>8%) individuals (mean difference -4.67 mmol/mol [-0.43%] [95% CI -6.04, -3.30], Z = 6.69, p<0.00001). However, CGM had no influence on the number of severe hypoglycaemia (p=0.13) and DKA events (p=0.88). Certainty of evidence was moderate. CONCLUSIONS/INTERPRETATION CGM is superior to SMBG in improving glycaemic control among individuals with type 1 diabetes in the community, especially in those with uncontrolled glycaemia. Individuals with type 1 diabetes with HbA1c >64 mmol/mol (>8%) are most likely to benefit from CGM. Current findings could not confer a concrete conclusion on the effectiveness of CGM on DKA outcome as DKA incidences were rare. Current evidence is also limited to outpatient settings. Future research should evaluate the accuracy of CGM and the effectiveness of CGM across different age groups and insulin regimens as these remain unclear in this paper. PROSPERO REGISTRATION Registration no. CRD42020207042. FUNDING This research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors.
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Affiliation(s)
- Evelyn Teo
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Republic of Singapore.
| | | | - Wilson Tam
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Republic of Singapore
| | - Serena Koh
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Republic of Singapore.
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26
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Dong P, Ko BS, Lomeli KA, Clark EC, McShane MJ, Grunlan MA. A Glucose Biosensor Based on a Phosphorescence Lifetime Sensing and a Thermoresponsive Membrane. Macromol Rapid Commun 2022; 43:e2100902. [DOI: 10.1002/marc.202100902] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 02/17/2022] [Indexed: 11/11/2022]
Affiliation(s)
- Ping Dong
- Department of Biomedical Engineering Texas A&M University College Station TX 77843‐3120 USA
| | - Brian S. Ko
- Department of Biomedical Engineering Texas A&M University College Station TX 77843‐3120 USA
| | - Kayllie A. Lomeli
- Department of Biomedical Engineering Texas A&M University College Station TX 77843‐3120 USA
| | - Emily C. Clark
- Department of Biomedical Engineering Texas A&M University College Station TX 77843‐3120 USA
| | - Michael J. McShane
- Department of Biomedical Engineering Department of Materials Science & Engineering and Center for Remote Health Technologies Systems Texas A&M University College Station TX 77843‐3003 USA
| | - Melissa A. Grunlan
- Department of Biomedical Engineering Department of Materials Science & Engineering Department of Chemizstry and Center for Remote Health Technologies Systems Texas A&M University College Station TX 77843‐3003 USA
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Abstract
PURPOSE OF REVIEW In this review, we examine the expanding role of continuous glucose monitoring in glycaemic management in primary care. RECENT FINDINGS Improving technology and decreasing cost have increased the uptake of use of continuous glucose monitoring (CGM) for glycaemic management in primary care, wherein most diabetes is managed. Optimized use of this technology, however, will require a convergence of several factors. Availability of devices for people with diabetes, availability of data at the time of clinical interactions, and expertise in interpretation of CGM and ambulatory glucose profile (AGP) data, as well as optimization of therapies, will be required. Significant progress has been made in all three areas in recent years, yet creating systems of support for widespread use of CGM in primary care remains an area of active investigation. SUMMARY There has been significant uptake in the use of CGM in the management of diabetes in primary care. Optimized use, however, requires both access to CGM data and the expertise to use the data. Although promising strategies have emerged, the task of generalizing these strategies to the broad population of primary care in America is ongoing. CGM technology holds significant potential for improving glycaemic management in primary care, yet important work remains to leverage the full potential of this promising technology.
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Affiliation(s)
- Thomas W Martens
- International Diabetes Center, HealthPartners Institute and Park Nicollet Department of Internal Medicine, Minneapolis, Minnesota, USA
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28
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Kieu A, King J, Govender RD, Östlundh L. The Benefits of Utilizing Continuous Glucose Monitoring of Diabetes Mellitus in Primary Care: A Systematic Review. J Diabetes Sci Technol 2022; 17:762-774. [PMID: 35100891 DOI: 10.1177/19322968211070855] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
BACKGROUND Continuous glucose monitoring (CGM) and intermittently scanned CGM (is-CGM) have shown to effectively manage diabetes in the specialty setting, but their efficacy in the primary care setting remains unknown. Does CGM/is-CGM improve glycemic control, decrease rates of hypoglycemia, and improve staff/physician satisfaction in primary care? If so, what subgroups of patients with diabetes are most likely to benefit? METHODS A comprehensive search in seven databases was performed in June 2021 for primary studies examining any continuous glucose monitoring system in primary care. We excluded studies with fewer than 20 participants, specialty care only, or hospitalized participants. The National Heart, Lung and Blood Institute and Grading of Recommendations Assessment, Development and Evaluation were used for the quality assessment. The weighted mean difference (WMD) of HbA1c between CGM/is-CGM and usual care with 95% confidence interval was calculated. A narrative synthesis was conducted for change of time in, above, or below range (TIR, TAR, and TBR) hypoglycemic events and staff/patient satisfaction. RESULTS From ten studies and 4006 participants reviewed, CGM was more effective at reducing HbA1c compared with usual care (WMD -0.43%). There is low certainty of evidence that CGM/is-CGM improves TIR, TAR, or TBR over usual care. The CGM can reduce hypoglycemic events and staff/patient satisfaction is high. Patients with intensive insulin therapy may benefit more from CGM/is-CGM. CONCLUSIONS Compared with usual care, CGM/is-CGM can reduce HbA1c, but most studies had notable biases, were short duration, unmasked, and were sponsored by industry. Further research needs to confirm the long-term benefits of CGM/is-CGM in primary care.
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Affiliation(s)
- Alexander Kieu
- Department of Family Medicine, College of Medicine and Health Sciences (CMHS), United Arab Emirates (UAE) University, Al Ain, United Arab Emirates
- Kanad Hospital, Al Ain, United Arab Emirates
| | - Jeffrey King
- Department of Family Medicine, College of Medicine and Health Sciences (CMHS), United Arab Emirates (UAE) University, Al Ain, United Arab Emirates
| | - Romona Devi Govender
- Department of Family Medicine, College of Medicine and Health Sciences (CMHS), United Arab Emirates (UAE) University, Al Ain, United Arab Emirates
| | - Linda Östlundh
- National Medical Library, College of Medicine and Health Sciences (CMHS), United Arab Emirates (UAE) University, Al Ain, United Arab Emirates
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Mardare I, Campbell SM, Meyer JC, Sefah IA, Massele A, Godman B. Enhancing Choices Regarding the Administration of Insulin Among Patients With Diabetes Requiring Insulin Across Countries and Implications for Future Care. Front Pharmacol 2022; 12:794363. [PMID: 35095504 PMCID: PMC8795368 DOI: 10.3389/fphar.2021.794363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Accepted: 11/22/2021] [Indexed: 11/13/2022] Open
Abstract
There are a number of ongoing developments to improve the care of patients with diabetes across countries given its growing burden. Recent developments include new oral medicines to reduce cardiovascular events and death. They also include new modes to improve insulin administration to enhance adherence and subsequent patient management thereby reducing hypoglycaemia and improving long-term outcomes. In the case of insulins, this includes long-acting insulin analogues as well as continuous glucose monitoring (CGM) systems and continuous subcutaneous insulin infusion systems, combined with sensor-augmented pump therapy and potentially hybrid closed-loops. The benefits of such systems have been endorsed by endocrine societies and governments in patients with Type 1 diabetes whose HbA1c levels are not currently being optimised. However, there are concerns with the low use of such systems across higher-income countries, exacerbated by their higher costs, despite studies suggesting their cost-effectiveness ratios are within accepted limits. This is inconsistent in higher-income countries when compared with reimbursement and funding decisions for new high-priced medicines for cancer and orphan diseases, with often limited benefits, given the burden of multiple daily insulin injections coupled with the need for constant monitoring. This situation is different among patients and governments in low- and low-middle income countries struggling to fund standard insulins and the routine monitoring of HbA1c levels. The first priority in these countries is to address these priority issues before funding more expensive forms of insulin and associated devices. Greater patient involvement in treatment decisions, transparency in decision making, and evidence-based investment decisions should help to address such concerns in the future.
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Affiliation(s)
- Ileana Mardare
- Public Health and Management Department, Faculty of Medicine, “Carol Davila” University of Medicine and Pharmacy Bucharest, Bucharest, Romania
| | - Stephen M. Campbell
- Division of Population Health, Health Services Research and Primary Care, University of Manchester, Manchester, United Kingdom
| | - Johanna C. Meyer
- Division of Public Health Pharmacy and Management, School of Pharmacy, Sefako Makgatho Health Sciences University, Pretoria, South Africa
| | - Israel Abebrese Sefah
- Pharmacy Practice Department of Pharmacy Practice, School of Pharmacy, University of Health and Allied Sciences, Volta Region, Ghana
| | - Amos Massele
- Pharmacology and Therapeutics Department, Hurbert Kairuki Memorial University, Dar Es Salaam, Tanzania
| | - Brian Godman
- Division of Public Health Pharmacy and Management, School of Pharmacy, Sefako Makgatho Health Sciences University, Pretoria, South Africa
- Centre of Medical and Bio-allied Health Sciences Research, Ajman University, Ajman, United Arab Emirates
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow, United Kingdom
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30
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Malik CE, Wong DM, Dembek KA, Wilson KE. Comparison of two glucose-monitoring systems for use in horses. Am J Vet Res 2022; 83:222-228. [PMID: 35038307 DOI: 10.2460/ajvr.21.05.0068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
OBJECTIVE To determine the accuracy of 2 interstitial glucose-monitoring systems (GMSs) for use in horses compared with a point-of-care (POC) glucometer and standard laboratory enzymatic chemistry method (CHEM). ANIMALS 8 clinically normal adult horses. PROCEDURES One of each GMS device (Dexcom G6 and Freestyle Libre 14-day) was placed on each horse, and blood glucose concentration was measured via POC and CHEM at 33 time points and compared with simultaneous GMS readings. An oral glucose absorption test (OGAT) was performed on day 2, and glucose concentrations were measured and compared. RESULTS Glucose concentrations were significantly correlated with one another between all devices on days 1 to 5. Acceptable agreement was observed between Dexcom G6 and Freestyle Libre 14-day when compared with CHEM on days 1, 3, 4, and 5 with a combined mean bias of 10.45 mg/dL and 1.53 mg/dL, respectively. During dextrose-induced hyperglycemia on day 2, mean bias values for Dexcom G6 (10.49 mg/dL) and FreeStyle Libre 14-day (0.34 mg/dL) showed good agreement with CHEM. CLINICAL RELEVANCE Serial blood glucose measurements are used to diagnose or monitor a variety of conditions in equine medicine; advances in near-continuous interstitial glucose monitoring allow for minimally invasive glucose assessment, thereby reducing stress and discomfort to patients. Data from this study support the use of the Dexcom G6 and Freestyle Libre 14-day interstitial glucose-monitoring systems to estimate blood glucose concentrations in horses.
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Affiliation(s)
- Caitlin E Malik
- Virginia-Maryland College of Veterinary Medicine, Virginia Polytechnic Institute and State University, Blacksburg, VA
| | - David M Wong
- Virginia-Maryland College of Veterinary Medicine, Virginia Polytechnic Institute and State University, Blacksburg, VA.,College of Veterinary Medicine, Iowa State University, Ames, IA
| | - Katarzyna A Dembek
- College of Veterinary Medicine, North Carolina State University, Raleigh, NC
| | - Katherine E Wilson
- Virginia-Maryland College of Veterinary Medicine, Virginia Polytechnic Institute and State University, Blacksburg, VA
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Dong P, Singh KA, Soltes AM, Ko BS, Gaharwar AK, McShane MJ, Grunlan MA. Silicone-containing thermoresponsive membranes to form an optical glucose biosensor. J Mater Chem B 2022; 10:6118-6132. [DOI: 10.1039/d2tb01192a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Glucose biosensors that could be subcutaneously injected and interrogated without a physically connected electrode and transmitter affixed to skin would represent a major advancement in reducing the user burden of...
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32
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Bode B, King A, Russell-Jones D, Billings LK. Leveraging advances in diabetes technologies in primary care: a narrative review. Ann Med 2021; 53:805-816. [PMID: 34184589 PMCID: PMC8245065 DOI: 10.1080/07853890.2021.1931427] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Accepted: 05/11/2021] [Indexed: 11/28/2022] Open
Abstract
Primary care providers (PCPs) play an important role in providing medical care for patients with type 2 diabetes. Advancements in diabetes technologies can assist PCPs in providing personalised care that addresses each patient's individual needs. Diabetes technologies fall into two major categories: devices for glycaemic self-monitoring and insulin delivery systems. Monitoring technologies encompass self-measured blood glucose (SMBG), where blood glucose is intermittently measured by a finger prick blood sample, and continuous glucose monitoring (CGM) devices, which use an interstitial sensor and are capable of giving real-time information. Studies show people using real-time CGM have better glucose control compared to SMBG. CGM allows for new parameters including time in range (the time spent within the desired target glucose range), which is an increasingly relevant real-time metric of glycaemic control. Insulin pens have increased the ease of administration of insulin and connected pens that can calculate and capture data on dosing are becoming available. There are a number of websites, software programs, and applications that can help PCPs and patients to integrate diabetes technology into their diabetes management schedules. In this article, we summarise these technologies and provide practical information to inform PCPs about utility in their clinical practice. The guiding principle is that use of technology should be individualised based on a patient's needs, desires, and availability of devices. Diabetes technology can help patients improve their clinical outcomes and achieve the quality of life they desire by decreasing disease burden.KEY MESSAGESIt is important to understand the role that diabetes technologies can play in primary care to help deliver high-quality care, taking into account patient and community resources. Diabetes technologies fall into two major categories: devices for glycaemic self-monitoring and insulin delivery systems. Modern self-measured blood glucose devices are simple to use and can help guide decision making for self-management plans to improve clinical outcomes, but cannot provide "live" data and may under- or overestimate blood glucose; patients' monitoring technique and compliance should be reviewed regularly. Importantly, before a patient is provided with monitoring technology, they must receive suitably structured education in its use and interpretation.Continuous glucose monitoring (CGM) is now standard of care for people with type 1 diabetes and people with type 2 diabetes on meal-time (prandial) insulin. Real-time CGM can tell both the patient and the healthcare provider when glucose is in the normal range, and when they are experiencing hyper- or hypoglycaemia. Using CGM data, changes in lifestyle, eating habits, and medications, including insulin, can help the patient to stay in a normal glycaemic range (70-180 mg/dL). Real-time CGM allows for creation of an ambulatory glucose profile and monitoring of time in range (the time spent within target blood glucose of 70-180 mg/dL), which ideally should be at least 70%; avoiding time above range (>180 mg/dL) is associated with reduced diabetes complications and avoiding time below range (<70 mg/dL) will prevent hypoglycaemia. Insulin pens are simpler to use than syringes, and connected pens capture information on insulin dose and injection timing.There are a number of websites, software programs and applications that can help primary care providers and patients to integrate diabetes technology into their diabetes management schedules. The guiding principle is that use of technology should be individualised based on a patient's needs, desires, skill level, and availability of devices.
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Affiliation(s)
- Bruce Bode
- Atlanta Diabetes Associates, Atlanta, GA, USA
| | - Aaron King
- HealthTexas at Stone Oak, San Antonio, TX, USA
| | | | - Liana K. Billings
- NorthShore University HealthSystem/University of Chicago Pritzker School of Medicine, Skokie, IL, USA
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Montero AR, Toro-Tobon D, Gann K, Nassar CM, Youssef GA, Magee MF. Implications of remote monitoring Technology in Optimizing Traditional Self-Monitoring of blood glucose in adults with T2DM in primary care. BMC Endocr Disord 2021; 21:222. [PMID: 34758807 PMCID: PMC8582211 DOI: 10.1186/s12902-021-00884-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Accepted: 10/22/2021] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND Self-monitoring of blood glucose (SMBG) has been shown to reduce hemoglobin A1C (HbA1C). Accordingly, guidelines recommend SMBG up to 4-10 times daily for adults with type 2 diabetes (T2DM) on insulin. For persons not on insulin, recommendations are equivocal. Newer technology-enabled blood glucose monitoring (BGM) devices can facilitate remote monitoring of glycemic data. New evidence generated by remote BGM may help to guide best practices for frequency and timing of finger-stick blood glucose (FSBG) monitoring in uncontrolled T2DM patients managed in primary care settings. This study aims to evaluate the impact of SMBG utility and frequency on glycemic outcomes using a novel BGM system which auto-transfers near real-time FSBG data to a cloud-based dashboard using cellular networks. METHODS Secondary analysis of the intervention arm of a comparative non-randomized trial with propensity-matched chart controls. Adults with T2DM and HbA1C > 9% receiving care in five primary care practices in a healthcare system participated in a 3-month diabetes boot camp (DBC) using telemedicine and a novel BGM to support comprehensive diabetes care management. The primary independent variable was frequency of FSBG. Secondary outcomes included frequency of FSBG by insulin status, distribution of FSBG checks by time of day, and hypoglycemia rates. RESULTS 48,111 FSBGs were transmitted by 359 DBC completers. Participants performed 1.5 FSBG checks/day; with 1.6 checks/day for those on basal/bolus insulin. Higher FSBG frequency was associated with greater improvement in HbA1C independent of insulin treatment status (p = 0.0003). FSBG frequency was higher in patients treated with insulin (p = 0.003). FSBG checks were most common pre-breakfast and post-dinner. Hypoglycemia was rare (1.2% < 70 mg/dL). CONCLUSIONS Adults with uncontrolled T2DM achieved significant HbA1C improvement performing just 1.5 FSBGs daily during a technology-enabled diabetes care intervention. Among the 40% taking insulin, this improvement was achieved with a lower FSBG frequency than guidelines recommend. For those not on insulin, despite a lower frequency of FSBG, they achieved a greater reduction in A1C compared to patients on insulin. Low frequency FSBG monitoring pre-breakfast and post-dinner can potentially support optimization of glycemic control regardless of insulin status in the primary care setting. TRIAL REGISTRATION Trial registration number: NCT02925312 (10/19/2016).
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Affiliation(s)
- Alex R. Montero
- Department of Medicine, MedStar Georgetown University Hospital, 3800 Reservoir Rd, Washington, DC, 20007 USA
- MedStar Diabetes Institute, 100 Irving Street, NW # 4114, Washington, DC, 20010 USA
| | - David Toro-Tobon
- Mayo Clinic, Division of Endocrinology, 200 1st Street NW, Rochester, MN 55905 USA
| | - Kelly Gann
- BioTelemetry, 1000 Cedar Hollow Road, Suite 102, Malvern, PA 19355 USA
| | - Carine M. Nassar
- MedStar Diabetes Institute, 100 Irving Street, NW # 4114, Washington, DC, 20010 USA
- MedStar Health Research Institute, 6525 Belcrest Road, Suite 700, Hyattsville, MD 20782 USA
| | - Gretchen A. Youssef
- MedStar Diabetes Institute, 100 Irving Street, NW # 4114, Washington, DC, 20010 USA
| | - Michelle F. Magee
- MedStar Diabetes Institute, 100 Irving Street, NW # 4114, Washington, DC, 20010 USA
- MedStar Health Research Institute, 6525 Belcrest Road, Suite 700, Hyattsville, MD 20782 USA
- Georgetown University, School of Medicine, 3900 Reservoir Rd NW, Washington, DC, 20007 USA
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A Review of Non-Invasive Optical Systems for Continuous Blood Glucose Monitoring. SENSORS 2021; 21:s21206820. [PMID: 34696033 PMCID: PMC8537963 DOI: 10.3390/s21206820] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 10/06/2021] [Accepted: 10/11/2021] [Indexed: 12/15/2022]
Abstract
The prevalence of diabetes is increasing globally. More than 690 million cases of diabetes are expected worldwide by 2045. Continuous blood glucose monitoring is essential to control the disease and avoid long-term complications. Diabetics suffer on a daily basis with the traditional glucose monitors currently in use, which are invasive, painful, and cost-intensive. Therefore, the demand for non-invasive, painless, economical, and reliable approaches to monitor glucose levels is increasing. Since the last decades, many glucose sensing technologies have been developed. Researchers and scientists have been working on the enhancement of these technologies to achieve better results. This paper provides an updated review of some of the pioneering non-invasive optical techniques for monitoring blood glucose levels that have been proposed in the last six years, including a summary of state-of-the-art error analysis and validation techniques.
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Hirsch IB, Miller E. Integrating Continuous Glucose Monitoring Into Clinical Practices and Patients' Lives. Diabetes Technol Ther 2021; 23:S72-S80. [PMID: 34546085 DOI: 10.1089/dia.2021.0233] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Numerous studies have demonstrated the clinical benefits of continuous glucose monitoring (CGM) in individuals with diabetes. Within ongoing innovations in CGM technology, individuals now have an expanding array of options that allow them to select the device that meets their individual needs and preferences. Although demand for CGM in primary care continues to grow, many clinicians are reluctant to prescribe this technology due to their unfamiliarity with the various devices, uncertainty about which devices are best suited to each patient and the feasibility of using CGM. This article reviews the features and functionality of the most recent commercially available CGM devices and provides guidance for integrating CGM use into clinical practices.
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Affiliation(s)
- Irl B Hirsch
- Division of Metabolism, Endocrinology and Nutrition, University of Washington School of Medicine, Seattle, Washington, USA
| | - Eden Miller
- Diabetes and Obesity Care, Bend, Oregon, USA
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Peeks F, Hoogeveen IJ, Feldbrugge RL, Burghard R, de Boer F, Fokkert‐Wilts MJ, van der Klauw MM, Oosterveer MH, Derks TGJ. A retrospective in-depth analysis of continuous glucose monitoring datasets for patients with hepatic glycogen storage disease: Recommended outcome parameters for glucose management. J Inherit Metab Dis 2021; 44:1136-1150. [PMID: 33834518 PMCID: PMC8519135 DOI: 10.1002/jimd.12383] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Revised: 03/15/2021] [Accepted: 04/07/2021] [Indexed: 11/12/2022]
Abstract
Continuous glucose monitoring (CGM) systems have great potential for real-time assessment of glycemic variation in patients with hepatic glycogen storage disease (GSD). However, detailed descriptions and in-depth analysis of CGM data from hepatic GSD patients during interventions are scarce. This is a retrospective in-depth analysis of CGM parameters, acquired in a continuous, real-time fashion describing glucose management in 15 individual GSD patients. CGM subsets are obtained both in-hospital and at home, upon nocturnal dietary intervention (n = 1), starch loads (n = 11) and treatment of GSD Ib patients with empagliflozin (n = 3). Descriptive CGM parameters, and parameters reflecting glycemic variation and glycemic control are considered useful CGM outcome parameters. Furthermore, the combination of first and second order derivatives, cumulative sum and Fourier analysis identified both subtle and sudden changes in glucose management; hence, aiding assessment of dietary and medical interventions. CGM data interpolation for nocturnal intervals reduced confounding by physical activity and diet. Based on these analyses, we conclude that in-depth CGM analysis can be a powerful tool to assess glucose management and optimize treatment in individual hepatic GSD patients.
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Affiliation(s)
- Fabian Peeks
- Section of Metabolic DiseasesBeatrix Children's Hospital, University Medical Center Groningen, University of GroningenGroningenThe Netherlands
| | - Irene J. Hoogeveen
- Section of Metabolic DiseasesBeatrix Children's Hospital, University Medical Center Groningen, University of GroningenGroningenThe Netherlands
| | | | | | - Foekje de Boer
- Section of Metabolic DiseasesBeatrix Children's Hospital, University Medical Center Groningen, University of GroningenGroningenThe Netherlands
| | - Marieke J. Fokkert‐Wilts
- Section of Metabolic DiseasesBeatrix Children's Hospital, University Medical Center Groningen, University of GroningenGroningenThe Netherlands
| | - Melanie M. van der Klauw
- Department of EndocrinologyUniversity of Groningen, University Medical Center GroningenGroningenThe Netherlands
| | - Maaike H. Oosterveer
- Laboratory of PediatricsUniversity of Groningen, University Medical Center GroningenGroningenThe Netherlands
| | - Terry G. J. Derks
- Section of Metabolic DiseasesBeatrix Children's Hospital, University Medical Center Groningen, University of GroningenGroningenThe Netherlands
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Krakauer M, Botero JF, Lavalle-González FJ, Proietti A, Barbieri DE. A review of flash glucose monitoring in type 2 diabetes. Diabetol Metab Syndr 2021; 13:42. [PMID: 33836819 PMCID: PMC8035716 DOI: 10.1186/s13098-021-00654-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Accepted: 03/18/2021] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND Continuous glucose monitoring systems are increasingly being adopted as an alternative to self-monitoring of blood glucose (SMBG) by persons with diabetes mellitus receiving insulin therapy. MAIN BODY The FreeStyle Libre flash glucose monitoring system (Abbott Diabetes Care, Witney, United Kingdom) consists of a factory-calibrated sensor worn on the back of the arm which measures glucose levels in the interstitial fluid every minute and stores the reading automatically every 15 min. Swiping the reader device over the sensor retrieves stored data and displays current interstitial glucose levels, a glucose trend arrow, and a graph of glucose readings over the preceding 8 h. In patients with type 2 diabetes (T2D) receiving insulin therapy, pivotal efficacy data were provided by the 6-month REPLACE randomized controlled trial (RCT) and 6-month extension study. Compared to SMBG, the flash system significantly reduced the time spent in hypoglycemia and frequency of hypoglycemic events, although no significant change was observed in glycosylated hemoglobin (HbA1c) levels. Subsequent RCTs and real-world chart review studies have since shown that flash glucose monitoring significantly reduces HbA1c from baseline. Real-world studies in both type 1 diabetes or T2D populations also showed that flash glucose monitoring improved glycemic control. Higher (versus lower) scanning frequency was associated with significantly greater reductions in HbA1c and significant improvements in other measures such as time spent in hypoglycemia, time spent in hyperglycemia, and time in range. Additional benefits associated with flash glucose monitoring versus SMBG include reductions in acute diabetes events, all-cause hospitalizations and hospitalized ketoacidosis episodes; improved well-being and decreased disease burden; and greater treatment satisfaction. CONCLUSION T2D patients who use flash glucose monitoring might expect to achieve significant improvement in HbA1c and glycemic parameters and several associated benefits.
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Affiliation(s)
- Marcio Krakauer
- Department of Technology (Coordinator) SBD-Brazilian Diabetes Society, Science Valley Research Center, Liga de Diabetes, ABC Medical School, Avenida 12 de Outubro 286, Santo André, SP, CEP 09030-640, Brazil.
| | | | | | - Adrian Proietti
- Institute of Diabetes and Applied Technology (IDTA), Buenos Aires, Argentina
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Freckmann G, Nichols JH, Hinzmann R, Klonoff DC, Ju Y, Diem P, Makris K, Slingerland RJ. Standardization process of continuous glucose monitoring: Traceability and performance. Clin Chim Acta 2021; 515:5-12. [DOI: 10.1016/j.cca.2020.12.025] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Revised: 12/07/2020] [Accepted: 12/19/2020] [Indexed: 12/15/2022]
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Fujikawa T, Ohara M, Kohata Y, Nagaike H, Fukase A, Osaka N, Yashima H, Sato N, Kushima H, Shinmura K, Takahashi Y, Hiromura M, Terasaki M, Mori Y, Fukui T, Matsui T, Hirano T, Yamagishi SI. Glucose Variability is Independently Correlated with Serum Level of Pigment Epithelium-Derived Factor in Type 2 Diabetes. Diabetes Ther 2021; 12:827-842. [PMID: 33586119 PMCID: PMC7947132 DOI: 10.1007/s13300-021-01008-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2020] [Accepted: 01/20/2021] [Indexed: 11/05/2022] Open
Abstract
INTRODUCTION Pigment epithelium-derived factor (PEDF) may play a role in cardiometabolic disorders. The aim of this study was to investigate which biochemical and clinical parameters are independently associated with serum PEDF levels in patients with type 2 diabetes mellitus (T2DM). METHODS We performed a cross-sectional analysis of 124 patients with T2DM who underwent continuous glucose monitoring (CGM) and blood chemistry analysis, including the diacron-reactive oxygen metabolites (d-ROMs) test and serum PEDF measurement (study 1). Then we investigated whether the changes in the studied biochemical and clinical parameters after 24 weeks of treatment (Δparameters) with anti-hyperglycemic agents, including sodium-glucose cotransporter 2 inhibitors, glucagon-like peptide 1 receptor agonists, and/or insulin and anti-hypertensive drugs and statins, were independently correlated with change in PEDF (ΔPEDF) in 52 of the patients with T2DM for whom there was sufficient serum samples to perform the post-treatment analysis (study 2). Serum levels of PEDF were measured with an enzyme-linked immunosorbent assay. CGM metrics were calculated on days 2 and 3. Oxidative stress was evaluated using the d-ROMs test. RESULTS Body mass index (BMI), triglycerides, fasting C-peptide, mean amplitude of glycemic excursions (MAGE), urinary albumin-to-creatinine ratio (UACR), and d-ROMs were positively associated with serum PEDF level, and high-density lipoprotein cholesterol (HDL-C) and estimated glomerular filtration rate (eGFR) were inversely associated with serum PEDF level. Because these parameters were correlated with each other, multivariate stepwise analysis was performed: eGFR, HDL-C, BMI, MAGE, and UACR remained significant (R2 = 0.452). Furthermore, ΔMAGE and Δd-ROMs were positively correlated with ΔPEDF in study 2. CONCLUSIONS The results of this study suggest that MAGE may be independently correlated with elevations in serum PEDF level in patients with T2DM.
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Affiliation(s)
- Tomoki Fujikawa
- Division of Diabetes, Metabolism, and Endocrinology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan
| | - Makoto Ohara
- Division of Diabetes, Metabolism, and Endocrinology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan.
| | - Yo Kohata
- Division of Diabetes, Metabolism, and Endocrinology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan
| | - Hiroe Nagaike
- Division of Diabetes, Metabolism, and Endocrinology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan
| | - Ayako Fukase
- Division of Diabetes, Metabolism, and Endocrinology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan
| | - Naoya Osaka
- Division of Diabetes, Metabolism, and Endocrinology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan
| | - Hironori Yashima
- Division of Diabetes, Metabolism, and Endocrinology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan
| | - Nobuko Sato
- Division of Diabetes, Metabolism, and Endocrinology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan
| | - Hideki Kushima
- Division of Diabetes, Metabolism, and Endocrinology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan
| | - Kyoko Shinmura
- Division of Diabetes, Metabolism, and Endocrinology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan
| | - Yasuyoshi Takahashi
- Division of Diabetes, Metabolism, and Endocrinology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan
| | - Munenori Hiromura
- Division of Diabetes, Metabolism, and Endocrinology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan
| | - Michishige Terasaki
- Division of Diabetes, Metabolism, and Endocrinology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan
| | - Yusaku Mori
- Anti-Glycation Research Section, Division of Diabetes, Metabolism, and Endocrinology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan
| | - Tomoyasu Fukui
- Division of Diabetes, Metabolism, and Endocrinology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan
| | - Takanori Matsui
- Department of Pathophysiology and Therapeutics of Diabetic Vascular Complications, Kurume University School of Medicine, Kurume, Japan
| | - Tsutomu Hirano
- Division of Diabetes, Metabolism, and Endocrinology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan
- Diabetes Center, Ebina General Hospital, Ebina, Japan
| | - Sho-Ichi Yamagishi
- Division of Diabetes, Metabolism, and Endocrinology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan
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Deeb A, Muammar T, Alsaffar H, Sedaghat S, Al Hassani N, Odeh R, Alkhayyat H, Al Sinani A, Attia N, Adhami S, Elbarbary N. Use of ambulatory glucose monitoring and analysis of ambulatory glucose profile in clinical practice for diabetes management; a position statement of the Arab Society of Paediatric Endocrinology and diabetes. Diabetes Res Clin Pract 2021; 173:108671. [PMID: 33493578 DOI: 10.1016/j.diabres.2021.108671] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 01/03/2021] [Accepted: 01/12/2021] [Indexed: 12/15/2022]
Abstract
BACKGROUND AND AIM Diabetes mellitus imposes a significant burden around the world generally and in the Middle East and North Africa specifically. Glucose monitoring is a cornerstone of diabetes management. METHODS Glycated haemoglobin has always been the main metric for assessing glycaemic control, but its use is linked with multiple pitfalls. As an alternative, continuous glucose monitoring is becoming a standard of care in many countries. Intermittent scanning glucose monitoring (isCGM) has acquired a worldwide popularity and has been proven to improve glycaemic control, hypoglycaemia detection and prevention, and quality of life. RESULTS The most recent International Society of Paediatric and Adolescent Diabetes practice. guidelines recommended its use in young people with diabetes observing Ramadan to ensure safe fasting. At a meeting in Abu Dhabi in November 2019, the Arab Society for Paediatric. Endocrinology and Diabetes brought together a number of regional diabetes experts, patient. representatives and international expert advisors to review the evidence for isCGM and propose. guidelines for its use in the Middle East and North Africa region. CONCLUSION In this paper, the authors strongly recommend the use of isCGM for patients in MENA and present general recommendations and compressive specific guidance for physicians and patients, which they believe will also have wider resonance.
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Affiliation(s)
- Asma Deeb
- Paediatric Endocrinology Department, Sheikh Shakhbout Medical City, Abu Dhabi, United Arab Emirates
| | - Tawfik Muammar
- Imperial College London Diabetes Centre, Abu Dhabi, United Arab Emirates
| | - Hussain Alsaffar
- Paediatric Endocrine and Diabetics Unit, Department of Child Health, Sultan Qaboos University Hospital, Muscat, Oman
| | | | - Noura Al Hassani
- Department of Paediatrics, Tawam Hospital and UAE College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Rasha Odeh
- Department of Paediatrics, School of Medicine, University of Jordan, Amman, Jordan
| | - Haya Alkhayyat
- Bahrain Defence Force Royal Medical Services Military Hospital, West Riffa, Kingdom of Bahrain, Kingdom of Bahrain, Royal College of Surgeons in Ireland Medical University of Bahrain, Adliya, Bahrain
| | - Aisha Al Sinani
- National Diabetic and Endocrine Center, Royal Hospital, Muscat, Oman
| | - Najya Attia
- King Abdulaziz Medical City, Riyadh, Saudi Arabia
| | - Sarah Adhami
- Mediclinic City Hospital, Dubai, United Arab Emirates
| | - Nancy Elbarbary
- Diabetes Unit, Department of Pediatrics, Faculty of medicine, Ain Shams University, Cairo, Egypt.
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Kalra S, Shaikh S, Priya G, Baruah MP, Verma A, Das AK, Shah M, Das S, Khandelwal D, Sanyal D, Ghosh S, Saboo B, Bantwal G, Ayyagari U, Gardner D, Jimeno C, Barbary NE, Hafidh KA, Bhattarai J, Minulj TT, Zufry H, Bulugahapitiya U, Murad M, Tan A, Shahjada S, Bello MB, Katulanda P, Podgorski G, AbuHelaiqa WI, Tan R, Latheef A, Govender S, Assaad-Khalil SH, Kootin-Sanwu C, Joshi A, Pathan F, Nkansah DA. Individualizing Time-in-Range Goals in Management of Diabetes Mellitus and Role of Insulin: Clinical Insights From a Multinational Panel. Diabetes Ther 2021; 12:465-485. [PMID: 33367983 PMCID: PMC7846622 DOI: 10.1007/s13300-020-00973-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Accepted: 11/19/2020] [Indexed: 02/07/2023] Open
Abstract
Diabetes mellitus is a global health concern associated with significant morbidity and mortality. Inadequate control of diabetes leads to chronic complications and higher mortality rates, which emphasizes the importance of achieving glycemic targets. Although glycated hemoglobin (HbA1c) is the gold standard for measuring glycemic control, it has several limitations. Therefore, in recent years, along with the emergence of continuous glucose monitoring (CGM) technology, glycemic control modalities have moved beyond HbA1c. They encompass modern glucometrics, such as glycemic variability (GV) and time-in-range (TIR). The key advantage of these newer metrics over HbA1c is that they allow personalized diabetes management with person-centric glycemic control. Basal insulin analogues, especially second-generation basal insulins with properties such as longer duration of action and low risk of hypoglycemia, have demonstrated clinical benefits by reducing GV and improving TIR. Therefore, for more effective and accurate diabetes management, the development of an integrated approach with second-generation basal insulin and glucometrics involving GV and TIR is the need of the hour. With this objective, a multinational group of endocrinologists and diabetologists reviewed the existing recommendations on TIR, provided their clinical insights into the individualization of TIR targets, and elucidated on the role of the second-generation basal insulin analogues in addressing TIR.
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Affiliation(s)
- Sanjay Kalra
- Department of Endocrinology, Bharti Hospital and BRIDE, Karnal, Haryana, India.
| | - Shehla Shaikh
- Department of Endocrinology, KGN Institute of Diabetes and Endocrinology, Mumbai, Maharashtra, India
| | - Gagan Priya
- Department of Endocrinology, Fortis Hospital, Chandigarh, Punjab, India
| | - Manas P Baruah
- Department of Endocrinology, Excel Hospital, Guwahati, Assam, India
| | - Abhyudaya Verma
- Endocrine Division, Index Medical College, Indore, Madhya Pradesh, India
| | - Ashok K Das
- Department of Endocrinology and Medicine, Pondicherry Institute of Medical Sciences, Puducherry, India
| | - Mona Shah
- HARMONY Endocrine Diabetes and Metabolic Clinic, Vadodara, Gujarat, India
| | - Sambit Das
- Department of Endocrinology, Apollo Hospitals, Bhubaneswar, Odisha, India
| | - Deepak Khandelwal
- Department of Endocrinology and Diabetes, Maharaja Agrasen Hospital, New Delhi, India
| | - Debmalya Sanyal
- Department of Endocrinology, KPC Medical College, Kolkata, West Bengal, India
| | - Sujoy Ghosh
- Department of Endocrinology and Metabolism, IPGMER, Kolkata, West Bengal, India
| | - Banshi Saboo
- Dia Care, Diabetes Care and Hormone Clinic, Ahmedabad, Gujarat, India
| | - Ganapathi Bantwal
- Department of Endocrinology, St. John's Medical College and Hospital, Bangalore, Karnataka, India
| | - Usha Ayyagari
- Department of Endocrinology, Apollo Sugar Clinics, Chennai, Tamil Nadu, India
| | - Daphne Gardner
- Department of Endocrinology, Singapore General Hospital, Singapore, Singapore
| | - Cecilia Jimeno
- Department of Endocrinology, Philippine Society of Endocrinology, Diabetes and Metabolism, Manila, Philippines
| | - Nancy E Barbary
- Department of Endocrinology, Ain Shams University, Cairo, Egypt
| | - Khadijah A Hafidh
- Department of Endocrinology, Rashid Hospital-Dubai Health Authority, Dubai, UAE
| | - Jyoti Bhattarai
- Department of Endocrinology, Metro Kathmandu Hospital, Kathmandu, Nepal
| | - Tania T Minulj
- Department of Endocrinology, General Hospital Karyadi, Semarang, Indonesia
| | - Hendra Zufry
- Department of Endocrinology, General Hospital Zainoel Abidin, Aceh, Indonesia
| | | | - Moosa Murad
- Department of Internal Medicine, Indira Gandhi Memorial Hospital, Malé, Maldives
| | - Alexander Tan
- Department of Endocrinology, Sunway Medical Centre, Kuala Lumpur, Malaysia
| | - Selim Shahjada
- Department of Endocrinology, BSMMU (Bangabandhu Sheikh Mujib Medical University Hospital), Dhaka, Bangladesh
| | - Mijinyawa B Bello
- Department of Endocrinology, Gwarinpa District Hospital, Abuja, Nigeria
| | - Prasad Katulanda
- Department of Endocrinology, University of Colombo, Colombo, Sri Lanka
| | - Gracjan Podgorski
- Department of Endocrinology, Greenacres Hospital, Port Elizabeth, South Africa
| | | | - Rima Tan
- Department of Endocrinology, FEU-NRMF Medical Center, Quezon City, Philippines
| | - Ali Latheef
- Department of Endocrinology, Indira Gandhi Memorial Hospital, Malé, Maldives
| | | | | | | | - Ansumali Joshi
- Department of Endocrinology, Kathmandu Diabetes and Thyroid Center, Kathmandu, Nepal
| | - Faruque Pathan
- Department of Endocrinology, Bangladesh Institute of Research and Rehabilitation for Diabetes, Endocrine and Metabolic Disorders (BIRDEM), Dhaka, Bangladesh
| | - Diana A Nkansah
- Department of Endocrinology, 37 Military Hospital Accra, Accra, Ghana
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Minimally invasive and continuous glucose monitoring sensor based on non-enzymatic porous platinum black-coated gold microneedles. Electrochim Acta 2021. [DOI: 10.1016/j.electacta.2020.137691] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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Kubihal S, Goyal A, Gupta Y, Khadgawat R. Glucose measurement in body fluids: A ready reckoner for clinicians. Diabetes Metab Syndr 2021; 15:45-53. [PMID: 33310176 DOI: 10.1016/j.dsx.2020.11.021] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2020] [Revised: 11/24/2020] [Accepted: 11/26/2020] [Indexed: 01/07/2023]
Abstract
BACKGROUND AND AIMS Blood glucose measurement is central to the diagnosis and management of patients with diabetes. Considering that a clinician relies heavily on blood (or rarely other body fluid) glucose values for decision making, an understanding of the basic aspects of glucose measurement in body fluids is necessary. METHODS A literature search was conducted in PubMed for articles in English on measurement of glucose in body fluids. RESULTS Glucose can be measured in several body fluids, namely blood, interstitial fluid, urine, cerebrospinal fluid, pleural fluid and ascitic fluid in appropriate clinical settings. For blood glucose measurement, the present-day enzymatic methods have replaced the older reducing and condensation methods on account of their better accuracy. It is important to consider preanalytical factors such as sample collection, storage and transport when analyzing a laboratory blood glucose report. The measurement of glucose in interstitial fluid using continuous glucose monitoring system (CGMS) enables better understanding of glucose trends and fluctuations. The CGMS data should be reported using standard metrics which include parameters such as mean 24-h glucose, glycemic variability and time-in, below and above range. The measurement of glucose in urine sample is rarely ever used these days and should be reserved for exceptional circumstances. CONCLUSION This review provides a detailed account of various aspects of glucose measurement including their evolution, pitfalls, and their utility in current clinical practice.
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Affiliation(s)
- Suraj Kubihal
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India.
| | - Alpesh Goyal
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India.
| | - Yashdeep Gupta
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India.
| | - Rajesh Khadgawat
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India.
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Attri B, Goyal A, Gupta Y, Tandon N. Basal-Bolus Insulin Regimen for Hospitalised Patients with COVID-19 and Diabetes Mellitus: A Practical Approach. Diabetes Ther 2020; 11:2177-2194. [PMID: 32683660 PMCID: PMC7368619 DOI: 10.1007/s13300-020-00873-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND AND AIM The coronavirus disease 2019 (COVID-19) outbreak has rapidly crossed international boundaries and placed increasing demands on healthcare facilities worldwide. Patients with diabetes and uncontrolled blood glucose levels are at increased risk for poor clinical outcomes and in-hospital mortality related to COVID-19. Therefore, achieving good glycaemic control is of paramount importance among hospitalised patients with COVID-19. Basal-bolus insulin therapy is a safe and effective intervention for the management of hyperglycaemia in hospitalised patients. The aim of this article is to provide a practical guidance for the use of the basal-bolus insulin regimen in hospitalised patients with COVID-19 and diabetes mellitus. METHODS This guidance document was formulated based on the review of available literature and the combined personal experiences of the authors. We provide a comprehensive review on the use of the basal-bolus insulin regimen, including its principles, rationale, indications, prerequisites, initiation, and dose titration, and also suggest targets for blood glucose control and different levels of capillary blood glucose monitoring. Various case scenarios are used to illustrate how optimal glucose control can be achieved, such as through adjustments in doses of prandial and basal insulin, the use of correctional insulin dosing and changes in the timing and content of major and minor meals. CONCLUSION The practical guidance for the use of the basal-bolus insulin regimen in hospitalised patients with COVID-19 and diabetes mellitus presented here can be used for patients admitted to hospital for indications other than COVID-19 and for those in ambulatory care.
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Affiliation(s)
- Bhawna Attri
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India
| | - Alpesh Goyal
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India
| | - Yashdeep Gupta
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India.
| | - Nikhil Tandon
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India.
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Artificial Pancreas Control Strategies Used for Type 1 Diabetes Control and Treatment: A Comprehensive Analysis. APPLIED SYSTEM INNOVATION 2020. [DOI: 10.3390/asi3030031] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
This paper presents a comprehensive survey about the fundamental components of the artificial pancreas (AP) system including insulin administration and delivery, glucose measurement (GM), and control strategies/algorithms used for type 1 diabetes mellitus (T1DM) treatment and control. Our main focus is on the T1DM that emerges due to pancreas’s failure to produce sufficient insulin due to the loss of beta cells (β-cells). We discuss various insulin administration and delivery methods including physiological methods, open-loop, and closed-loop schemes. Furthermore, we report several factors such as hyperglycemia, hypoglycemia, and many other physical factors that need to be considered while infusing insulin in human body via AP systems. We discuss three prominent control algorithms including proportional-integral- derivative (PID), fuzzy logic, and model predictive, which have been clinically evaluated and have all shown promising results. In addition, linear and non-linear insulin infusion control schemes have been formally discussed. To the best of our knowledge, this is the first work which systematically covers recent developments in the AP components with a solid foundation for future studies in the T1DM field.
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Crecil Dias C, Kamath S, Vidyasagar S. Blood glucose regulation and control of insulin and glucagon infusion using single model predictive control for type 1 diabetes mellitus. IET Syst Biol 2020; 14:133-146. [PMID: 32406378 PMCID: PMC8687336 DOI: 10.1049/iet-syb.2019.0101] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
This study elaborates on the design of artificial pancreas using model predictive control algorithm for a comprehensive physiological model such as the Sorensen model, which regulates the blood glucose and can have a longer control time in normal glycaemic region. The main objective of the proposed algorithm is to eliminate the risk of hyper and hypoglycaemia and have a precise infusion of hormones: insulin and glucagon. A single model predictive controller is developed to control the bihormones, insulin, and glucagon for such a development unmeasured disturbance is considered for a random time. The simulation result for the proposed algorithm performed good regulation lowering the hypoglycaemia risk and maintaining the glucose level within the normal glycaemic range. To validate the performance of the tracking of output and setpoint, average tracking error is used and 4.4 mg/dl results are obtained while compared with standard value (14.3 mg/dl).
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Affiliation(s)
- Cifha Crecil Dias
- Department of Instrumentation and ControlManipal Academy of Higher Education, Manipal Institute of TechnologyManipalIndia
| | - Surekha Kamath
- Department of Instrumentation and ControlManipal Academy of Higher Education, Manipal Institute of TechnologyManipalIndia
| | - Sudha Vidyasagar
- Department of MedicineManipal Academy of Higher Education, Kasturba Medical CollegeManipalIndia
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Bralić Lang V, Baretić M. Letter to the Editor Regarding: Continuous Glucose Monitoring in Type 2 Diabetes Mellitus Patients in Primary Care. Adv Ther 2020; 37:1276-1278. [PMID: 31997240 PMCID: PMC7089726 DOI: 10.1007/s12325-020-01234-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2019] [Indexed: 11/10/2022]
Affiliation(s)
- Valerija Bralić Lang
- Private Family Physician Office Affiliated to the Department of Family Medicine, University of Zagreb, School of Medicine, Zagreb, Croatia.
| | - Maja Baretić
- Department of Endocrinology, University Hospital Center Zagreb, Zagreb, Croatia
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Abstract
Cardiac autonomic neuropathy (CAN) is an underdiagnosed cardiovascular complication associated with diabetes. NPs are in a pivotal position to screen patients for CAN. As the incidence of diabetes increases in an aging population, NPs can help prevent complications associated with diabetes and CAN.
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Mian Z, Hermayer KL, Jenkins A. Continuous Glucose Monitoring: Review of an Innovation in Diabetes Management. Am J Med Sci 2019; 358:332-339. [PMID: 31402042 DOI: 10.1016/j.amjms.2019.07.003] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Revised: 05/23/2019] [Accepted: 07/15/2019] [Indexed: 11/18/2022]
Abstract
Most continuous glucose monitors (CGM) provide interstitial fluid glucose trends, which reflect blood glucose trends with alarms and alerts to prevent hypoglycemia and provide better glycemic control. CGM used in conjunction with insulin pumps has changed the management of patients with insulin-dependent diabetes, mainly type 1 diabetes. CGM technology prevents the need for frequent blood glucose testing, which is often cumbersome for patients, providing them with a better alternative. CGM technology is underprescribed and therefore advantage should be taken of this technology to provide better hemoglobin A1c (HbA1c) control and decrease incidence of diabetic complications. CGM is particularly useful in patients with hypoglycemia unawareness and nocturnal hypoglycemia. CGM is currently not approved in pregnant patients, in critically ill patients and patients on dialysis. Research suggests that the benefits certainly outweigh the limitations of this technology. This review article focuses on the technical and clinical use of continuous glucose monitoring and sensor-integrated pump technology.
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Affiliation(s)
- Zainab Mian
- Division of Endocrinology, Diabetes and Metabolic Diseases, Medical University of South Carolina, Charleston, South Carolina; Ralph H. Johnson Veteran Affairs Medical Center, Charleston, South Carolina
| | - Kathie L Hermayer
- Division of Endocrinology, Diabetes and Metabolic Diseases, Medical University of South Carolina, Charleston, South Carolina; Ralph H. Johnson Veteran Affairs Medical Center, Charleston, South Carolina.
| | - Alicia Jenkins
- NHMRC Clinical Trials Centre, University of Sydney, Sydney, Australia
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50
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Gómez AM, Henao DC, Taboada LB, Leguizamón G, Rondón MA, Muñoz OM, García-Jaramillo MA, León Vargas FM. Impact of sensor-augmented pump therapy with predictive low-glucose management on hypoglycemia and glycemic control in patients with type 1 diabetes mellitus: 1-year follow-up. Diabetes Metab Syndr 2019; 13:2625-2631. [PMID: 31405686 DOI: 10.1016/j.dsx.2019.07.024] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Accepted: 07/10/2019] [Indexed: 10/26/2022]
Abstract
AIMS To describe real-life experience with sensor-augmented pump therapy with predictive low-glucose management (SAPT-PLGM), in terms of hypoglycemia and glycemic control after one year of follow-up in T1D patients with hypoglycemia as the main indication of therapy. METHODS Retrospective cohort study under real life conditions. Baseline and one-year follow-up variables of glycemic control, hypoglycemia and glycemic variability were compared. RESULTS Fifty patients were included, 31 on prior treatment with SAPT with low-glucose suspend (LGS) feature and 19 on multiple dose insulin injections (MDI). Mean HbA1c decreased in the MDI group (8.24%-7.08%; p = 0.0001). HbA1c change was not significant in the SAPT-LGS group. Area under the curve (AUC) below 70 mg/dl improved in both SAPT-LGS and MDI groups while AUC, %time and events below 54 mg/dl decreased in SAPT-LGS group. Glycemic variability improved in the MDI group. Less patients presented severe hypoglycemia with SAPT-PLGM in both groups, however the change was non-significant. CONCLUSIONS Under real life conditions, SAPT-PLGM reduced metrics of hypoglycemia in patients previously treaded with MDI and SAPT-LGS without deteriorating glycemic control in SAPT-LGS patients, while improving it in patients treated with MDI.
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Affiliation(s)
- Ana M Gómez
- Pontificia Universidad Javeriana, Bogotá, Colombia; Hospital Universitario San Ignacio, Division of Endocrinology, Bogotá, Colombia.
| | - Diana C Henao
- Pontificia Universidad Javeriana, Bogotá, Colombia; Hospital Universitario San Ignacio, Division of Endocrinology, Bogotá, Colombia
| | - Lucía B Taboada
- Pontificia Universidad Javeriana, Bogotá, Colombia; Hospital Universitario San Ignacio, Division of Endocrinology, Bogotá, Colombia
| | | | - Martín A Rondón
- Department of Clinical Epidemiology and Biostatistics, Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Oscar M Muñoz
- Hospital Universitario San Ignacio, Department of Internal Medicine, Bogotá, Colombia
| | | | - Fabián M León Vargas
- Faculty of Mechanical, Electronic and Biomedical Engineering, Universidad Antonio Nariño, Bogotá, Colombia
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