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Ajjan RA, Battelino T, Cos X, Del Prato S, Philips JC, Meyer L, Seufert J, Seidu S. Continuous glucose monitoring for the routine care of type 2 diabetes mellitus. Nat Rev Endocrinol 2024:10.1038/s41574-024-00973-1. [PMID: 38589493 DOI: 10.1038/s41574-024-00973-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/29/2024] [Indexed: 04/10/2024]
Abstract
Although continuous glucose monitoring (CGM) devices are now considered the standard of care for people with type 1 diabetes mellitus, the uptake among people with type 2 diabetes mellitus (T2DM) has been slower and is focused on those receiving intensive insulin therapy. However, increasing evidence now supports the inclusion of CGM in the routine care of people with T2DM who are on basal insulin-only regimens or are managed with other medications. Expanding CGM to these groups could minimize hypoglycaemia while allowing efficient adaptation and escalation of therapies. Increasing evidence from randomized controlled trials and observational studies indicates that CGM is of clinical value in people with T2DM on non-intensive treatment regimens. If further studies confirm this finding, CGM could soon become a part of routine care for T2DM. In this Perspective we explore the potential benefits of widening the application of CGM in T2DM, along with the challenges that must be overcome for the evidence-based benefits of this technology to be delivered for all people with T2DM.
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Affiliation(s)
- Ramzi A Ajjan
- The LIGHT Laboratories, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - Tadej Battelino
- Faculty of Medicine, University of Ljubljana Medical Centre, Ljubljana, Slovenia
| | - Xavier Cos
- DAP Cat Research Group, Foundation University Institute for Primary Health Care Research Jordi Gol i Gorina, Barcelona, Spain
| | - Stefano Del Prato
- Section of Diabetes and Metabolic Diseases, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | | | - Laurent Meyer
- Department of Endocrinology, Diabetes and Nutrition, University Hospital, Strasbourg, France
| | - Jochen Seufert
- Division of Endocrinology and Diabetology, Department of Medicine II, Medical Centre, University of Freiburg, Freiburg, Germany
| | - Samuel Seidu
- Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK.
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Wang M, Chen N, Wang Y, Ni J, Lu J, Zhao W, Cui Y, Du R, Zhu W, Zhou J. Association of sudomotor dysfunction with risk of diabetic retinopathy in patients with type 2 diabetes. Endocrine 2024:10.1007/s12020-023-03682-3. [PMID: 38197989 DOI: 10.1007/s12020-023-03682-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Accepted: 12/31/2023] [Indexed: 01/11/2024]
Abstract
PURPOSE Sudomotor dysfunction is considered as one of the earliest manifestations of diabetic peripheral neuropathy. We aimed to investigate the association between sudomotor dysfunction non-invasively detected by the SUDOSCAN device and diabetic retinopathy (DR) in patients with type 2 diabetes. METHODS A total of 2010 patients admitted to a tertiary hospital located in Shanghai were included from March 2020 to September 2023. Sudomotor function was assessed by the SUDOSCAN device, and sudomotor dysfunction was defined as feet electrochemical skin conductance (FESC) <60 μs. Fundus radiography was used for DR assessment, which was graded according to the severity, specifically: (1) non-DR; (2) mild nonproliferative DR (NPDR); (3) moderate NPDR/vision-threatening DR (VTDR). RESULTS Among the enrolled 2010 patients, 525 patients had sudomotor dysfunction; 648 were diagnosed with DR, which was equivalent to 32.2% of all patients. Patients with sudomotor dysfunction had a significantly higher prevalence of DR, compared to those with normal sudomotor function (40.8% vs. 29.2%, P < 0.05). After controlling for confounding factors including HbA1c, sudomotor dysfunction was significantly associated with any DR (odd ratio [OR] = 1.57, 95% CI 1.26-1.96). When FESC was considered as a continuous variable, the multivariable-adjusted OR of DR was 1.29 (95% CI 1.17-1.42) for per 1-SD decrease in FESC. Furthermore, multinomial logistic regression revealed significant associations between sudomotor dysfunction and all stages of DR (mild NPDR: OR = 1.40, 95% CI 1.11-1.78; moderate NPDR/VTDR: OR = 2.35, 95% CI 1.60-3.46). CONCLUSIONS Sudomotor dysfunction was significantly associated with DR in patients with type 2 diabetes.
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Affiliation(s)
- Ming Wang
- Postgraduate Training Basement of Jinzhou Medical University, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, China
- Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, 200233, China
| | - Niuniu Chen
- Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, 200233, China
| | - Yaxin Wang
- Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, 200233, China
| | - Jiaying Ni
- Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, 200233, China
| | - Jingyi Lu
- Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, 200233, China
| | - Weijing Zhao
- Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, 200233, China
| | - Yating Cui
- Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, 200233, China
| | - Ronghui Du
- Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, 200233, China
| | - Wei Zhu
- Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, 200233, China.
| | - Jian Zhou
- Postgraduate Training Basement of Jinzhou Medical University, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, China.
- Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, 200233, China.
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Calikoglu BF, Celik S, Idiz C, Bagdemir E, Issever H, Calvet JH, Satman I. Electrochemical skin conductances values and clinical factors affecting sudomotor dysfunction in patients with prediabetes, type 1 diabetes, and type 2 diabetes: A single center experience. Prim Care Diabetes 2023; 17:499-505. [PMID: 37394312 DOI: 10.1016/j.pcd.2023.06.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 05/05/2023] [Accepted: 06/03/2023] [Indexed: 07/04/2023]
Abstract
BACKGROUND AND AIM Sudomotor dysfunction is linked to small fibers damage. We investigated sudomotor dysfunction in a large group of participants with diabetes, prediabetes, and nondiabetic healthy subjects. This study aimed to complete knowledge on sudomotor dysfunction in this population, especially regarding the threshold values for the electrochemical skin conductance (ESC) and factors affecting it. MATERIALS AND METHODS A total of 690 volunteers in four groups were included in the study (type 1 [T1DG]: n = 80, 61.3% women; type 2 diabetes [T2DG]: n = 438, 63.5% women; prediabetes [Pre-DG]: n = 88, 80.7% women; healthy control [HC-G]: n = 84, 67.5% women). All subjects were investigated for clinical diabetic peripheral polyneuropathy and sudomotor dysfunction. The characteristics of participants obtained from outpatient records were evaluated. We used the Sudoscan device to measure ESC which was normalized for BMI, to improve the discriminative capability of the method. RESULTS Diabetic polyneuropathy was found in 17.5% of T1DG, 27.4% of T1DG, and 10.2% of Pre-DG. The mean ESC/BMI was lower in subgroups with diabetic polyneuropathy than those without. Mean ESC/BMI was lowest in T2DG and highest in HC-G but comparable in T1DG and Pre-DG. We accepted the "mean ESC/BMI-1 SD" in the HC-G as the threshold for sudomotor dysfunction. Accordingly, the prevalence of sudomotor dysfunction was 18.8%, 44.3%, 59.1%, and 15% in T1DG, T2DG, Pre-DG, and HC-G, respectively. In T2DG, sudomotor dysfunction was found in 66.7% of persons with retinopathy, of which 56.3% had clinical diabetic polyneuropathy. The prevalence of sudomotor dysfunction in subjects with peripheral artery disease, chronic kidney disease, cardiovascular disease, and hypertension was 46.7%, 47.4%, 43.4%, and 50%, respectively, and 42.9%, 38.9%, 45.5%, and 37.3% of whom in the same order detected with clinical diabetic polyneuropathy. Considering the entire group, a logistic regression model demonstrated that the variables associated with SMD were: retinopathy (OR: 2.969; 95% CI: 1.723, 5.114), female gender (OR: 1.952; 95% CI: 1.287, 2.962), and e-GFR (OR: 0.989; 95% CI: 0.981, 0.998). Since the rate of complications was very low in T1DG, excluding this group, a new model similarly revealed that retinopathy and female gender were associated with SMD, however, the association with e-GFR was disappeared. CONCLUSION The prevalence of sudomotor dysfunction is high when established peripheral polyneuropathy was present in diabetes. Even though, sudomotor dysfunction can also occur before clinical polyneuropathy in both types of diabetes (T1DG: 18.8%, T2DG 44.3%), prediabetes (59.1%), and nondiabetic healthy subjects (15%). The variables associated with sudomotor dysfunction were retinopathy and female sex. Normalization of ESC for BMI would be a beneficial approach. However, before this method is included in the routine screening programs for diabetic polyneuropathy, large-scale and prospective studies are required to reach a consensus on the pathological threshold values.
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Affiliation(s)
- Bedia Fulya Calikoglu
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkiye
| | - Selda Celik
- University of Health Sciences Turkey, Hamidiye Faculty of Nursing, Department of Internal Medicine, Istanbul, Turkiye
| | - Cemile Idiz
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkiye
| | - Elif Bagdemir
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkiye
| | - Halim Issever
- Division of Medical Sciences, Department of Public Health, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkiye
| | | | - Ilhan Satman
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkiye.
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Liu L, Ke W, Xu L, Li H, Liu J, Wan X, Liu J, Deng W, Cao X, Xiao H, Li Y. Evaluating the role of time in range as a glycemic target during short-term intensive insulin therapy in patients with newly diagnosed type 2 diabetes. J Diabetes 2023; 15:133-144. [PMID: 36650669 PMCID: PMC9934958 DOI: 10.1111/1753-0407.13355] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 12/02/2022] [Accepted: 12/29/2022] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Tight glycemic control during short-term intensive insulin therapy (SIIT) is critical for inducing diabetes remission in patients with newly diagnosed type 2 diabetes (T2D). This work aimed to investigate the role of time in range (TIR) during SIIT as a novel glycemic target by predicting clinical outcomes. METHODS SIIT was given to 116 patients with newly diagnosed T2D, with daily eight-point capillary glucose monitored. Glycemic targets (fasting/premeal glucose, 3.9-6.0 mmol/L; 2 h postprandial blood glucose, 3.9-7.8 mmol/L) were achieved and maintained for 2 weeks. TIRPIR was calculated as the percentage of glucose points within these glycemic targets during the maintenance period and was compared to TIR3.9-7.8mmol/L and TIR3.9-10.0mmol/L . Acute insulin response (AIR), HOMA-IR, HOMA-B, and disposition index (DI) were measured. Patients were followed up for 1 year to observe clinical outcomes. RESULTS TIRPIR , TIR3.9-7.8mmol/L , and TIR3.9-10.0mmol/L were 67.2 ± 11.2%, 80.8 ± 9.2%, and 90.1 ± 6.2%, respectively. After SIIT, β-cell function and insulin sensitivity improved remarkably, and the 1-year remission rate was 55.2%. △AIR and △DI were positively correlated with all the TIR values, whereas only TIRPIR was correlated with △HOMA-IR (r = -0.22, p = 0.03). Higher TIRPIR but not TIR3.9-7.8mmol/L or TIR3.9-10.0mmol/L was robustly associated with diabetes remission; patients in the lower TIRPIR tertile had an elevated risk of hyperglycemia relapse (hazard ratio 3.4, 95% confidence interval 1.6-7.2, p = .001). Only those with TIRPIR ≥ 65% had a one-year remission rate of over 60%. CONCLUSIONS These findings advocate TIRPIR ≥ 65% as a novel glycemic target during SIIT for clinical decision-making.
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Affiliation(s)
- Liehua Liu
- Department of Endocrinologythe First Affiliated Hospital of Sun Yat‐Sen UniversityGuangzhouChina
| | - Weijian Ke
- Department of Endocrinologythe First Affiliated Hospital of Sun Yat‐Sen UniversityGuangzhouChina
| | - Lijuan Xu
- Department of Endocrinologythe First Affiliated Hospital of Sun Yat‐Sen UniversityGuangzhouChina
| | - Hai Li
- Department of Endocrinologythe First Affiliated Hospital of Sun Yat‐Sen UniversityGuangzhouChina
| | - Juan Liu
- Department of Endocrinologythe First Affiliated Hospital of Sun Yat‐Sen UniversityGuangzhouChina
| | - Xuesi Wan
- Department of Endocrinologythe First Affiliated Hospital of Sun Yat‐Sen UniversityGuangzhouChina
| | - Jianbin Liu
- Endocrinology DepartmentEastern HealthMelbourneVictoriaAustralia
| | - Wanping Deng
- Department of Endocrinologythe First Affiliated Hospital of Sun Yat‐Sen UniversityGuangzhouChina
| | - Xiaopei Cao
- Department of Endocrinologythe First Affiliated Hospital of Sun Yat‐Sen UniversityGuangzhouChina
| | - Haipeng Xiao
- Department of Endocrinologythe First Affiliated Hospital of Sun Yat‐Sen UniversityGuangzhouChina
| | - Yanbing Li
- Department of Endocrinologythe First Affiliated Hospital of Sun Yat‐Sen UniversityGuangzhouChina
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Muacevic A, Adler JR, Sobki SH, Al-Saeed AH, Al Dawish M. Comparison of Point-of-Care and Laboratory Glycated Hemoglobin A1c and Its Relationship to Time-in-Range and Glucose Variability: A Real-World Study. Cureus 2023; 15:e33416. [PMID: 36643084 PMCID: PMC9833273 DOI: 10.7759/cureus.33416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/05/2023] [Indexed: 01/06/2023] Open
Abstract
Introduction The main objective of the current study was to perform a comparison of point-of-care testing for hemoglobin A1c (POCT-HbA1c) versus the standard laboratory method (Lab HbA1c) and their relationship to time-in-range (TIR) and glucose variability (GV) among patients with diabetes mellitus (DM) presented to the outpatient diabetes clinics. Methods This single-center cross-sectional study was carried out on diabetic patients (aged ≥14 years of both genders) who undergo routine follow-up at our institution and whose physicians ordered HbA1c analysis for routine care. The included patients were those using the intermittently scanned continuous glucose monitoring (isCGM) Abbott's FreeStyle Libre system for at least three months and regular CGM users with at least 70% use. Results We included 97 diabetic patients (41 female and 56 male), with a median age of 25 years (Interquartile range= 18) and a mean DM duration of 10.33±5.48 years. The mean values of Lab-HbA1c and POCT HbA1c were 8.82%±0.85% and 8.53%±0.89%, respectively. The TIR, time below range, and time above range were 33.47±14.38 minutes (47.78%±14.32%), 5.44±2.58 minutes (8.41%±4.42%), and 28.8±8.27 minutes (43.81%±13.22%), respectively. According to the Bland-Altman plot analysis, the POCT-HbA1c values are consistent with the standard Lab-HbA1c values (SD of bias= 0.55, and 95% CI= -0.78 to 1.4). The univariate linear regression analysis showed a statistically significant relationship between laboratory HbA1c and POCT HbA1c (R2= 0.637, p <0.001), TIR (R2= 0.406, p <0.001), and GV (R2= 0.048, p= 0.032). After adjusting for age, gender, disease duration, diabetes type, and percentage of sensor data in a multivariable linear regression model, the linear associations remained significant (all p < 0.05). Conclusion The current findings show that TIR and GV can be used as endpoints and valuable parameters for the therapy of DM.
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Gad H, Elgassim E, Mohammed I, Alhaddad AY, Ahmed Hussein Zaky Aly H, Cabibihan JJ, Al-Ali A, Sadasivuni KK, Haji A, Lamine N, Khan A, Petropoulos IN, Ponirakis G, Kalteniece A, Ferdousi M, Azmi S, Alam U, Abuhelaiqa W, Jayyousi A, AlMohanadi D, Baagar K, Malik RA. Continuous glucose monitoring reveals a novel association between duration and severity of hypoglycemia, and small nerve fiber injury in patients with diabetes. Endocr Connect 2022; 11:e220352. [PMID: 36240043 PMCID: PMC9716363 DOI: 10.1530/ec-22-0352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 10/14/2022] [Indexed: 11/08/2022]
Abstract
Objective Continuous glucose monitoring (CGM) has revealed that glycemic variability and low time in range are associated with albuminuria and retinopathy. We have investigated the relationship between glucose metrics derived from CGM and a highly sensitive measure of neuropathy using corneal confocal microscopy in participants with type 1 and type 2 diabetes. Methods A total of 40 participants with diabetes and 28 healthy controls underwent quantification of corneal nerve fiber density (CNFD), corneal nerve branch density (CNBD), corneal nerve fiber length (CNFL) and inferior whorl length (IWL) and those with diabetes underwent CGM for four consecutive days. Results CNBD was significantly lower in patients with high glycemic variability (GV) compared to low GV (median (range) (25.0 (19.0-37.5) vs 38.6 (29.2-46.9); P = 0.007); in patients who spent >4% compared to <4% time in level 1 hypoglycemia (54-69 mg/dL) (25.0 (22.9-37.5) vs 37.5 (29.2-46.9); P = 0.045) and in patients who spent >1% compared to <1% time in level 2 hypoglycemia (<54 mg/dL) (25.0 (19.8-41.7) vs 35.4 (28.1-44.8); P = 0.04). Duration in level 1 hypoglycemia correlated with CNBD (r = -0.342, P = 0.031). Duration in level 1 (181-250 mg/dL) and level 2 (>250 mg/dL) hyperglycemia did not correlate with CNFD (P > 0.05), CNBD (P > 0.05), CNFL (P > 0.05) or IWL (P > 0.05). Conclusions Greater GV and duration in hypoglycemia, rather than hyperglycemia, are associated with nerve fiber loss in diabetes.
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Affiliation(s)
- Hoda Gad
- Department of Medicine, Weill Cornell Medicine-Qatar, Doha, Qatar
| | - Einas Elgassim
- Department of Medicine, Weill Cornell Medicine-Qatar, Doha, Qatar
| | - Ibrahim Mohammed
- Department of Medicine, Weill Cornell Medicine-Qatar, Doha, Qatar
- Department of Internal Medicine, Albany Medical Center Hospital, Albany, New York, USA
| | - Ahmad Yaser Alhaddad
- Department of Mechanical and Industrial Engineering, Qatar University, Doha, Qatar
| | | | - John-John Cabibihan
- Department of Mechanical and Industrial Engineering, Qatar University, Doha, Qatar
| | - Abdulaziz Al-Ali
- KINDI Center for computing research, Qatar University, Doha, Qatar
| | | | - Aliyaa Haji
- Department of Medicine, Weill Cornell Medicine-Qatar, Doha, Qatar
| | - Neila Lamine
- Department of Medicine, Weill Cornell Medicine-Qatar, Doha, Qatar
| | - Adnan Khan
- Faculty of Healthy Sciences, Khyber Medical University, Peshawar, Pakistan
| | | | | | - Alise Kalteniece
- Institute of Cardiovascular Medicine, University of Manchester, Manchester, UK
| | - Maryam Ferdousi
- Institute of Cardiovascular Medicine, University of Manchester, Manchester, UK
| | - Shazli Azmi
- Institute of Cardiovascular Medicine, University of Manchester, Manchester, UK
| | - Uazman Alam
- Diabetes and Neuropathy Research, Department of Eye and Vision Sciences and Pain Research Institute, Institute of Ageing and Chronic Disease, University of Liverpool and Aintree University Hospital NHS Foundation Trust, Liverpool, UK
- Department of Diabetes and Endocrinology, Royal Liverpool and Broadgreen University NHS Hospital Trust, Liverpool, UK
- Division of Endocrinology, Diabetes and Gastroenterology, University of Manchester, Manchester, UK
| | | | - Amin Jayyousi
- Hamad Medical Corporation, National Diabetes Center, Doha, Qatar
| | - Dabia AlMohanadi
- Hamad Medical Corporation, National Diabetes Center, Doha, Qatar
| | - Khaled Baagar
- Hamad Medical Corporation, National Diabetes Center, Doha, Qatar
| | - Rayaz A Malik
- Department of Medicine, Weill Cornell Medicine-Qatar, Doha, Qatar
- Institute of Cardiovascular Medicine, University of Manchester, Manchester, UK
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Gouveri E, Papanas N. The Emerging Role of Continuous Glucose Monitoring in the Management of Diabetic Peripheral Neuropathy: A Narrative Review. Diabetes Ther 2022; 13:931-952. [PMID: 35394566 PMCID: PMC9076783 DOI: 10.1007/s13300-022-01257-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 03/17/2022] [Indexed: 12/14/2022] Open
Abstract
The aim of this narrative review is to present data on the role of continuous glucose monitoring (CGM) in the management of peripheral diabetic neuropathy (DPN) among individuals with type 1 and type 2 diabetes mellitus. Adequate glycaemic control is crucial to prevent the development or progression of DPN. CGM systems are valuable tools for improving glycaemic control and reducing glycaemic variability (GV). Chronic hyperglycaemia is known to be a risk factor for the development of diabetic microvascular complications, including DPN. In addition, there is now evidence that GV, evaluated by mean amplitude of glycaemic excursions, may be a novel factor in the pathogenesis of diabetic complications. Increased GV appears to be an independent risk factor for DPN and correlates with painful neuropathy. Similarly, time-in-range correlates positively with peripheral nerve function and negatively with sudomotor dysfunction. However, relevant studies are rather limited in scope, and the vast majority are cross-sectional and use different methodologies for the assessment of DPN. Therefore, the causal relationship between CGM-derived data and the development of DPN cannot be firmly established at the present time. It also remains to be elucidated whether CGM measures can be considered the new therapeutic targets for DPN management.
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Affiliation(s)
| | - Nikolaos Papanas
- Diabetes Centre, Second Department of Internal Medicine, Democritus University of Thrace, 68132, Alexandroupolis, Greece.
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Shang T, Zhang JY, Thomas A, Arnold MA, Vetter BN, Heinemann L, Klonoff DC. Products for Monitoring Glucose Levels in the Human Body With Noninvasive Optical, Noninvasive Fluid Sampling, or Minimally Invasive Technologies. J Diabetes Sci Technol 2022; 16:168-214. [PMID: 34120487 PMCID: PMC8721558 DOI: 10.1177/19322968211007212] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND Conventional home blood glucose measurements require a sample of blood that is obtained by puncturing the skin at the fingertip. To avoid the pain associated with this procedure, there is high demand for medical products that allow glucose monitoring without blood sampling. In this review article, all such products are presented. METHODS In order to identify such products, four different sources were used: (1) PubMed, (2) Google Patents, (3) Diabetes Technology Meeting Startup Showcase participants, and (4) experts in the field of glucose monitoring. The information obtained were filtered by using two inclusion criteria: (1) regulatory clearance, and/or (2) significant coverage in Google News starting in the year 2016, unless the article indicated that the product had been discontinued. The identified bloodless monitoring products were classified into three categories: (1) noninvasive optical, (2) noninvasive fluid sampling, and (3) minimally invasive devices. RESULTS In total, 28 noninvasive optical, 6 noninvasive fluid sampling, and 31 minimally invasive glucose monitoring products were identified. Subsequently, these products were characterized according to their regulatory, technological, and consumer features. Products with regulatory clearance are described in greater detail according to their advantages and disadvantages, and with design images. CONCLUSIONS Based on favorable technological features, consumer features, and other advantages, several bloodless products are commercially available and promise to enhance diabetes management. Paths for future products are discussed with an emphasis on understanding existing barriers related to both technical and non-technical issues.
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Affiliation(s)
- Trisha Shang
- Diabetes Technology Society, Burlingame, California, USA
| | | | - Andreas Thomas
- AGDT (Working group of Diabetes Technology), Germany, Ulm, Germany
| | - Mark A. Arnold
- University of Iowa, Department of Chemistry, Iowa City, Iowa, USA
| | | | | | - David C. Klonoff
- Mills-Peninsula Medical Center, San Mateo, California, USA
- David C. Klonoff, MD, FACP, FRCP (Edin), Fellow AIMBE, Mills-Peninsula Medical Center, 100 South San Mateo Drive, Room 5147, San Mateo, California 94401, USA.
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Raj R, Mishra R, Jha N, Joshi V, Correa R, Kern PA. Time in range, as measured by continuous glucose monitor, as a predictor of microvascular complications in type 2 diabetes: a systematic review. BMJ Open Diabetes Res Care 2022; 10:10/1/e002573. [PMID: 34980591 PMCID: PMC8724710 DOI: 10.1136/bmjdrc-2021-002573] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Accepted: 11/09/2021] [Indexed: 02/07/2023] Open
Abstract
Continuous glucose monitoring (CGM)-derived time in range (TIR) correlates with hemoglobin A1c (A1c) among patients with type 2 diabetes mellitus (T2DM); however, there is a paucity of data evaluating its association with microvascular complications. We conducted this systematic review to examine the association between TIR and microvascular complications of diabetic retinopathy (DR), diabetic nephropathy (DN), and diabetic peripheral neuropathy (DPN). We conducted a comprehensive literature search on PubMed, Scopus, and Web of Science online databases following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Full-text original articles that evaluated the association between CGM-derived TIR and risk of microvascular complications and were published between 2010 and June 2021 were included in our systematic review. The quality of the included studies was evaluated using the National Heart, Lung, and Blood Institute Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies. Data were analyzed using qualitative synthesis. Eleven studies on a total of 13 987 patients were included in the systematic review. The median sample size, baseline A1c, and diabetes duration were 466 patients (range: 105-5901), 8.2% (SD 0.5%), and 11.3 years (1.0), respectively. Majority of the studies were conducted in Asia (10 out of 11). Four studies evaluated the relationship between CGM-derived TIR and DR and CGM-derived TIR and DN, while seven studies evaluated the relationship between CGM-derived TIR and DPN. A 10% increase in TIR was associated with a reduction in albuminuria, severity of DR, and prevalence of DPN and cardiac autonomic neuropathy. In addition, an association was observed between urinary albumin to creatinine ratio but not with estimated glomerular filtration rate. This review summarizes recent evidence supporting an association between CGM-derived TIR and microvascular complications among patients with T2DM. A larger-scale multicenter investigation that includes more diverse participants is warranted to further validate the utility of TIR as a predictor of diabetic microvascular complications.
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Affiliation(s)
- Rishi Raj
- Department of Internal Medicine, Division of Endocrinology, Diabetes, and Metabolism, Pikeville Medical Center, Pikeville, Kentucky, USA
- Department of Internal Medicine, University of Pikeville Kentucky College of Osteopathic Medicine, Pikeville, Kentucky, USA
| | - Rahul Mishra
- Department of Internal Medicine, Maulana Azad Medical College, New Delhi, Delhi, India
| | - Nivedita Jha
- Department of Internal Medicine, Adichunchanagiri Institute of Medical Sciences, Mandya, Karnataka, India
| | - Vivek Joshi
- Department of Biochemistry and Molecular Biology, Drexel University, Philadelphia, Pennsylvania, USA
| | - Ricardo Correa
- Department of Internal Medicine, Division of Endocrinology, Diabetes, and Metabolism, The University of Arizona College of Medicine - Phoenix, Phoenix, Arizona, USA
- Department of Internal Medicine, Division of Endocrinology, Diabetes, and Metabolism, Phoenix VA Medical Center, Phoenix, Arizona, USA
| | - Philip A Kern
- Department of Internal Medicine, Division of Endocrinology, Diabetes, and Metabolism, University of Kentucky College of Medicine, Lexington, Kentucky, USA
- Barnstable Brown Diabetes Center, University of Kentucky, Lexington, Kentucky, USA
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Feng ZQ, Guo QY, Wang W, Yuan YY, Jin XG, Zhou H, Liu J, Lei HY, Yang XY, Liu J, Lu B, Shao JQ, Gu P. Time in range, especially overnight time in range, is associated with sudomotor dysfunction in patients with type 1 diabetes. Diabetol Metab Syndr 2021; 13:119. [PMID: 34702362 PMCID: PMC8549142 DOI: 10.1186/s13098-021-00739-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Accepted: 10/15/2021] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND Time in range (TIR) is advocated as key metric of glycemic control and is reported to be associated with microvascular complications of diabetes. Sudomotor dysfunction is among the earliest detectable diabetic peripheral neuropathy (DPN). We set about to research the relationship between TIR including overnight TIR and sudomotor function detected by SUDOSCAN with the intention of exploring the correlation of TIR including overnight TIR and early DPN in type 1 diabetes (T1D). METHODS 95 patients with T1D were enrolled. TIR including nocturnal TIR of 3.9-10.0 mmol/L was evaluated with CGM. SUDOSCAN measured feet electrochemical skin conductance (FESC) and sudomotor dysfunction was defined as average FESC < 60µS. Logistic regressions were applied to examine the independent association of TIR and overnight TIR with sudomotor function. RESULTS The overall prevalence of sudomotor dysfunction was 28.42%. Patients with sudomotor dysfunction had significantly lower TIR for the whole recorded phase and for nighttime. The sudomotor dysfunction prevalence progressively declined with the ascending tertiles of TIR and nocturnal TIR (P for trend < 0.05). Correlation analysis showed that the relationship between nocturnal TIR and FESC was stronger than that between TIR and FESC with correlation coefficients were respectively 0.362 and 0.356 (P < 0.001). Finally, logistic regression analysis indicated the independently negative relation between TIR and nocturnal TIR and sudomotor dysfunction (P < 0.05), and the correlation between nocturnal TIR and sudomotor dysfunction was more statistically significant. CONCLUSIONS TIR is negatively correlated with sudomotor dysfunction in T1D independent of HbA1c. Furthermore, decreased nocturnal TIR is more closely related to the impaired function of sudomotor nerves in sweat glands.
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Affiliation(s)
- Zhou-Qin Feng
- Department of Endocrinology, Jinling Hospital, the First School of Clinical Medicine, Southern Medical University, Nanjing, China
| | - Qing-Yu Guo
- Department of Endocrinology, Jinling Hospital, School of Medicine, Nanjing University, Nanjing, China
| | - Wei Wang
- Department of Endocrinology, Jinling Hospital, School of Medicine, Nanjing University, Nanjing, China
| | - Yan-Yu Yuan
- Department of Endocrinology, Jinling Hospital, Nanjing Medical University, Nanjing, China
| | - Xu-Guang Jin
- Department of Endocrinology, Jinling Hospital, School of Medicine, Nanjing University, Nanjing, China
| | - Hui Zhou
- Department of Endocrinology, Jinling Hospital, the First School of Clinical Medicine, Southern Medical University, Nanjing, China
| | - Jun Liu
- Department of Endocrinology, Jinling Hospital, the First School of Clinical Medicine, Southern Medical University, Nanjing, China
| | - Hai-Yan Lei
- Department of Endocrinology, Jinling Hospital, the First School of Clinical Medicine, Southern Medical University, Nanjing, China
| | - Xin-Yi Yang
- Department of Endocrinology, Jinling Hospital, School of Medicine, Nanjing University, Nanjing, China
| | - Jun Liu
- Department of Endocrinology, Jinling Hospital, Nanjing Medical University, Nanjing, China
| | - Bin Lu
- Department of Endocrinology, Jinling Hospital, School of Medicine, Nanjing University, Nanjing, China
| | - Jia-Qing Shao
- Department of Endocrinology, Jinling Hospital, the First School of Clinical Medicine, Southern Medical University, Nanjing, China.
| | - Ping Gu
- Department of Endocrinology, Jinling Hospital, School of Medicine, Nanjing University, Nanjing, China.
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Abstract
The role of continuous glucose monitoring (CGM) in type 1 diabetes (T1D) is well established in improving glycemic control and reducing hypoglycemia. Type 2 diabetes (T2D) is more prevalent than T1D and management of T2D is more heterogeneous, requiring treatment ranging from lifestyle modification to oral medications to intensive insulin therapy. Recent randomized controlled trials in intensively insulin-treated T2D demonstrated the efficacy and safety of real-time CGM (rtCGM) in reducing glycated hemoglobin without increasing hypoglycemia. Although evidence is limited, early studies have indicated a role for rtCGM in selected patients with non-insulin requiring T2D to improve glycemic control and/or reduce hypoglycemia. Based on literature review, we summarized current data on the use of rtCGM in T2D management and provided future research direction to generate more evidence on the utility of CGM in this population.
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Affiliation(s)
- Melanie A. Jackson
- Division of Endocrinology, Diabetes, and Clinical Nutrition; Oregon Health and Science University, Portland, Oregon, USA
| | - Andrew Ahmann
- Harold Schnitzer Diabetes Health Center, Oregon Health and Science University, Portland, Oregon, USA
- Address correspondence to: Andrew Ahmann, MD, Harold Schnitzer Diabetes Health Center, Oregon Health and Science University, 3181 Southwest Sam Jackson Park Road, OP05DC, Portland, OR 97239, USA
| | - Viral N. Shah
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
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