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Zhang XM, Shen QQ. Application and management of continuous glucose monitoring in diabetic kidney disease. World J Diabetes 2024; 15:591-597. [PMID: 38680699 PMCID: PMC11045421 DOI: 10.4239/wjd.v15.i4.591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2023] [Revised: 02/01/2024] [Accepted: 03/01/2024] [Indexed: 04/11/2024] Open
Abstract
Diabetic kidney disease (DKD) is a common complication of diabetes mellitus that contributes to the risk of end-stage kidney disease (ESKD). Wide glycemic var-iations, such as hypoglycemia and hyperglycemia, are broadly found in diabetic patients with DKD and especially ESKD, as a result of impaired renal metabolism. It is essential to monitor glycemia for effective management of DKD. Hemoglobin A1c (HbA1c) has long been considered as the gold standard for monitoring glycemia for > 3 months. However, assessment of HbA1c has some bias as it is susceptible to factors such as anemia and liver or kidney dysfunction. Continuous glucose monitoring (CGM) has provided new insights on glycemic assessment and management. CGM directly measures glucose level in interstitial fluid, reports real-time or retrospective glucose concentration, and provides multiple glycemic metrics. It avoids the pitfalls of HbA1c in some contexts, and may serve as a precise alternative to estimation of mean glucose and glycemic variability. Emerging studies have demonstrated the merits of CGM for precise monitoring, which allows fine-tuning of glycemic management in diabetic patients. Therefore, CGM technology has the potential for better glycemic monitoring in DKD patients. More research is needed to explore its application and management in different stages of DKD, including hemodialysis, peritoneal dialysis and kidney transplantation.
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Affiliation(s)
- Xin-Miao Zhang
- Geriatric Medicine Center, Department of Endocrinology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou 310014, Zhejiang Province, China
| | - Quan-Quan Shen
- Urology and Nephrology Center, Department of Nephrology, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital, Hangzhou Medical College), Hangzhou 310014, Zhejiang Province, China
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2
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Waterman LA, Pyle L, Forlenza GP, Towers L, Karami AJ, Jost E, Berget C, Wadwa RP, Cobry EC. Accuracy of a Real-Time Continuous Glucose Monitor in Pediatric Diabetic Ketoacidosis Admissions. Diabetes Technol Ther 2024. [PMID: 38441904 DOI: 10.1089/dia.2023.0542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/22/2024]
Abstract
Objective: Continuous glucose monitoring (CGM) devices are integral in the outpatient care of people with type 1 diabetes, although they lack inpatient labeling. Food and Drug Administration began allowing inpatient use during the coronavirus disease 2019 (COVID-19) pandemic, with some accuracy data now available, primarily from adult hospitals. Pediatric inpatient data remain limited, particularly during diabetic ketoacidosis (DKA) admissions and for patients receiving intravenous (IV) insulin. Design and Methods: This retrospective chart review compared point-of-care glucose values to personal Dexcom G6 sensor data during pediatric hospitalizations. Accuracy was assessed using mean absolute relative difference (MARD), Clarke Error Grids, and the percentage of values within 15/20/30% if glucose value >100 mg/dL and 15/20/30 mg/dL if glucose value ≤100 mg/dL. Results: Matched paired glucose values (N = 612) from 36 patients (median age 14 years, 58.3% non-Hispanic White, 47.2% male) and 42 inpatient encounters were included in this subanalysis of DKA admissions. The MARDs for DKA and non-DKA admissions (N = 503) were 11.8% and 11.7%, with 97.6% and 98.6% of pairs falling within A and B zones of the Clarke Error Grid, respectively. Severe DKA admissions (pH <7.15 and/or bicarbonate <5 mmol/L) had a MARD of 8.9% compared to 14.3% for nonsevere DKA admissions. The MARD during administration of IV insulin (N = 266) was 13.4%. Conclusions: CGM accuracy is similar between DKA and non-DKA admissions and is maintained in severe DKA and during IV insulin administration, suggesting potential usability in pediatric hospitalizations. Further study on the feasibility of implementation of CGM in the hospital is needed.
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Affiliation(s)
- Lauren A Waterman
- University of Colorado Anschutz Medical Campus, Barbara Davis Center for Diabetes, Aurora, Colorado, USA
| | - Laura Pyle
- University of Colorado Anschutz Medical Campus, Barbara Davis Center for Diabetes, Aurora, Colorado, USA
- Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora, Colorado, USA
| | - Gregory P Forlenza
- University of Colorado Anschutz Medical Campus, Barbara Davis Center for Diabetes, Aurora, Colorado, USA
| | - Lindsey Towers
- University of Colorado Anschutz Medical Campus, Barbara Davis Center for Diabetes, Aurora, Colorado, USA
| | - Angela J Karami
- University of Colorado Anschutz Medical Campus, Barbara Davis Center for Diabetes, Aurora, Colorado, USA
| | - Emily Jost
- University of Colorado Anschutz Medical Campus, Barbara Davis Center for Diabetes, Aurora, Colorado, USA
| | - Cari Berget
- University of Colorado Anschutz Medical Campus, Barbara Davis Center for Diabetes, Aurora, Colorado, USA
| | - R Paul Wadwa
- University of Colorado Anschutz Medical Campus, Barbara Davis Center for Diabetes, Aurora, Colorado, USA
| | - Erin C Cobry
- University of Colorado Anschutz Medical Campus, Barbara Davis Center for Diabetes, Aurora, Colorado, USA
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Jakubowska Z, Malyszko J. Continuous glucose monitoring in people with diabetes and end-stage kidney disease-review of association studies and Evidence-Based discussion. J Nephrol 2024; 37:267-279. [PMID: 37989976 PMCID: PMC11043101 DOI: 10.1007/s40620-023-01802-w] [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: 07/23/2023] [Accepted: 09/26/2023] [Indexed: 11/23/2023]
Abstract
Diabetic nephropathy is currently the leading cause of end-stage kidney disease. The present methods of assessing diabetes control, such as glycated hemoglobin or self-monitoring of blood glucose, have limitations. Over the past decade, the field of continuous glucose monitoring has been greatly improved and expanded. This review examines the use of continuous glucose monitoring in people with end-stage kidney disease treated with hemodialysis (HD), peritoneal dialysis (PD), or kidney transplantation. We assessed the use of both real-time continuous glucose monitoring and flash glucose monitoring technology in terms of hypoglycemia detection, glycemic variability, and efficacy, defined as an improvement in clinical outcomes and diabetes control. Overall, the use of continuous glucose monitoring in individuals with end-stage kidney disease may improve glycemic control and detection of hypoglycemia. However, most of the published studies were observational with no control group. Moreover, not all studies used the same assessment parameters. There are very few studies involving subjects on peritoneal dialysis. The small number of studies with limited numbers of participants, short follow-up period, and small number of manufacturers of continuous glucose monitoring systems are limitations of the review. More studies need to be performed to obtain more reliable results.
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Affiliation(s)
- Zuzanna Jakubowska
- Department of Nephrology, Dialysis and Internal Medicine, Warsaw, Poland.
| | - Jolanta Malyszko
- Department of Nephrology, Dialysis and Internal Medicine, Warsaw, Poland
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Ling J, Ng JKC, Lau ESH, Luk AOY, Ma RCW, Vigersky RA, Li PKT, Chan JCN, Szeto CC, Chow E. Impact of Body Composition and Anemia on Accuracy of a Real-Time Continuous Glucose Monitor in Diabetes Patients on Continuous Ambulatory Peritoneal Dialysis. Diabetes Technol Ther 2024; 26:70-75. [PMID: 37955697 DOI: 10.1089/dia.2023.0349] [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] [Indexed: 11/14/2023]
Abstract
Continuous glucose monitoring (CGM) is proposed as an alternative for glycemic assessment in peritoneal dialysis, but volume overload and anemia may affect sensor accuracy. This is an exploratory analysis of a study of Guardian Connect™ with Guardian Sensor™ 3 in 30 participants with diabetes on continuous ambulatory peritoneal dialysis (CAPD) (age [mean ± standard deviation] 64.7 ± 5.6 years, 23 men, body mass index [BMI] 25.4 ± 3.9 kg/m2, blood hemoglobin [Hb] 10.7 ± 1.3 g/dL). The mean absolute relative difference (MARD) was calculated between paired sensor and YSI 2300 STAT venous glucose readings (n = 941) during an 8-h in-clinic session with glucose challenge. Body composition was evaluated using bioimpedance. The overall MARD was 10.4% (95% confidence interval 9.6-11.7). There were no correlations between BMI, extracellular water, relative hydration index, and lean or fat mass with MARD. No correlations were observed between MARD and Hb (r = 0.016, P > 0.05). In summary, this real-time CGM demonstrated good accuracy in CAPD with minimal influence from body composition and anemia.
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Affiliation(s)
- James Ling
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, Hong Kong
| | - Jack K C Ng
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, Hong Kong
| | - Eric S H Lau
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, Hong Kong
| | - Andrea O Y Luk
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, Hong Kong
- Phase 1 Clinical Trial Centre, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, Hong Kong
| | - Ronald C W Ma
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, Hong Kong
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, Hong Kong
| | | | - Philip K T Li
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, Hong Kong
| | - Juliana C N Chan
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, Hong Kong
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, Hong Kong
| | - Cheuk Chun Szeto
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, Hong Kong
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, Hong Kong
| | - Elaine Chow
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, Hong Kong
- Phase 1 Clinical Trial Centre, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, Hong Kong
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de Boer IH, Hirsch IB. Continuous Glucose Monitoring: A Rapidly Evolving New Tool to Understand Pathophysiology and Enhance Clinical Care in CKD. Clin J Am Soc Nephrol 2023; 18:421-423. [PMID: 36914585 PMCID: PMC10103192 DOI: 10.2215/cjn.0000000000000125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
Affiliation(s)
- Ian H. de Boer
- Division of Nephrology, Department of Medicine, University of Washington, Seattle, Washington
- Kidney Research Institute, University of Washington, Seattle, Washington
- University of Washington Medicine Diabetes Institute, University of Washington, Seattle, Washington
| | - Irl B. Hirsch
- Kidney Research Institute, University of Washington, Seattle, Washington
- University of Washington Medicine Diabetes Institute, University of Washington, Seattle, Washington
- Division of Metabolism, Endocrinology, and Nutrition, Department of Medicine, University of Washington, Seattle, Washington
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Avari P, Tang W, Jugnee N, Hersi I, Al-Balah A, Tan T, Frankel A, Oliver N, Reddy M. The Accuracy of Continuous Glucose Sensors in People with Diabetes Undergoing Haemodialysis (ALPHA Study). Diabetes Technol Ther 2023. [PMID: 36961385 DOI: 10.1089/dia.2023.0013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/25/2023]
Abstract
OBJECTIVES Real-time and intermittently scanned continuous glucose monitoring are increasingly used for glucose monitoring in people with diabetes requiring renal replacement therapy, with limited data reporting their accuracy in this cohort. We evaluated the accuracy of Dexcom G6 and Abbott Freestyle Libre 1 glucose monitoring systems in people with diabetes undergoing haemodialysis. METHODS Participants on haemodialysis with diabetes (on insulin or sulfonylureas) were recruited. Paired sensor glucose from Dexcom G6 and Freestyle Libre 1 were recorded with plasma glucose analysed using the YSI (Yellow Springs Instrument) method at frequent intervals during haemodialysis. Analysis of accuracy metrics included mean absolute relative difference (MARD), Clarke Error Grid (CEG) analysis and proportion of CGM values within 15 and 20% or 15 and 20mg/dL of YSI reference values for blood glucose >100 mg/dL or ≤100 mg/dL, respectively (% 15/15, % 20/20). RESULTS Forty adults (median age 64.7 (60.2-74.4) years) were recruited. Overall MARD for Dexcom G6 was 22.7% (2,656 matched glucose pairs), and 11.3% for Libre 1 (n=2,785). The proportions of readings meeting %15/15 and %20/20 were 29.1% and 45.4% for Dexcom G6, respectively, and 73.5% and 85.6% for Libre 1. CEG analysis showed 98.9% of all values in zones A and B for Dexcom G6 and 99.8% for Libre 1. CONCLUSIONS Our results indicate Freestyle Libre 1 is a reliable tool for glucose monitoring in adults on haemodialysis. Further studies are required to evaluate Dexcom G6 accuracy in people on haemodialysis. Small molecule interferents may affect electrochemical glucose sensors in end-stage kidney disease.
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Affiliation(s)
- Parizad Avari
- Imperial College London, 4615, Department of Metabolism, Digestion and Reproduction, London, United Kingdom of Great Britain and Northern Ireland;
| | - Wenxi Tang
- Imperial College London, 4615, Department of Metabolism, Digestion and Reproduction, London, United Kingdom of Great Britain and Northern Ireland;
| | - Narvada Jugnee
- Imperial College London, 4615, Department of Metabolism, Digestion and Reproduction, London, London, United Kingdom of Great Britain and Northern Ireland;
| | - Ibrahim Hersi
- Imperial College London, 4615, Department of Metabolism, Digestion and Reproduction, London, United Kingdom of Great Britain and Northern Ireland;
| | - Amer Al-Balah
- Imperial College London, 4615, Department of Metabolism, Digestion and Reproduction, London, United Kingdom of Great Britain and Northern Ireland;
| | - Tricia Tan
- Imperial College London, 4615, Department of Metabolism, Digestion and Reproduction, London, United Kingdom of Great Britain and Northern Ireland;
| | - Andrew Frankel
- Imperial College London, 4615, Department of Metabolism, Digestion and Reproduction, London, United Kingdom of Great Britain and Northern Ireland;
| | - Nick Oliver
- Imperial College London, 4615, Department of Metabolism, Digestion and Reproduction, London, United Kingdom of Great Britain and Northern Ireland;
| | - Monika Reddy
- Imperial College London, 4615, Department of Metabolism, Digestion and Reproduction, London, United Kingdom of Great Britain and Northern Ireland;
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Dovc K, Bode BW, Battelino T. Continuous and Intermittent Glucose Monitoring in 2022. Diabetes Technol Ther 2023; 25:S15-S29. [PMID: 36802188 DOI: 10.1089/dia.2023.2502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/23/2023]
Affiliation(s)
- Klemen Dovc
- University Medical Center University Children's Hospital Ljubljana, Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Bruce W Bode
- Atlanta Diabetes Associates and Emory University School of Medicine, Atlanta, GA, USA
| | - Tadej Battelino
- University Medical Center University Children's Hospital Ljubljana, Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
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Galindo RJ, de Boer IH, Neumiller JJ, Tuttle KR. Continuous Glucose Monitoring to Optimize Management of Diabetes in Patients with Advanced CKD. Clin J Am Soc Nephrol 2023; 18:130-145. [PMID: 36719162 PMCID: PMC10101590 DOI: 10.2215/cjn.04510422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Treatment of patients with diabetes and CKD includes optimizing glycemic control using lifestyle modifications and drugs that safely control glycemia and improve clinical kidney and cardiovascular disease outcomes. However, patients with advanced CKD, defined as eGFR <30 ml/min per 1.73 m2 or kidney disease treated with dialysis, have limitations to the use of some preferred glucose-lowering medications, are often treated with insulin, and experience high rates of severe hypoglycemia. Moreover, hemoglobin A1c accuracy decreases as GFR deteriorates. Hence, there is a need for better glycemic monitoring tools. Continuous glucose monitoring allows for 24-hour glycemic monitoring to understand patterns and the effects of lifestyle and medications. Real-time continuous glucose monitoring can be used to guide the administration of insulin and noninsulin therapies. Continuous glucose monitoring can overcome the limitations of self-monitored capillary glucose testing and hemoglobin A1c and has been shown to prevent hypoglycemic excursions in some populations. More data are needed to understand whether similar benefits can be obtained for patients with diabetes and advanced CKD. This review provides an updated approach to management of glycemia in advanced CKD, focusing on the role of continuous glucose monitoring in this high-risk population.
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Affiliation(s)
- Rodolfo J. Galindo
- Division of Endocrinology, Emory University School of Medicine, Atlanta, Georgia
| | - Ian H. de Boer
- Division of Nephrology and Kidney Research Institute, University of Washington, Seattle, Washington
| | - Joshua J. Neumiller
- Department of Pharmacotherapy, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington
| | - Katherine R. Tuttle
- Nephrology Division, Kidney Research Institute and Institute of Translational Health Sciences, University of Washington, Seattle, Washington
- Providence Medical Research Center, Providence Health Care, Spokane, Washington
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