Cited by 410Diabetes Management and ResearchDiabetes Treatment and ManagementHyperglycemia and glycemic control in critically ill and hospitalized patients

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Glucose Variability; Does It Matter?

Siegelaar, Sarah E., Holleman, Frits, Hoekstra, Joost B. L., DeVries, J. Hans·2010·Endocrine Reviews

DOI 10.1210/er.2009-0021

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Abstract

Overall lowering of glucose is of pivotal importance in the treatment of diabetes, with proven beneficial effects on microvascular and macrovascular outcomes. Still, patients with similar glycosylated hemoglobin levels and mean glucose values can have markedly different daily glucose excursions. The role of this glucose variability in pathophysiological pathways is the subject of debate. It is strongly related to oxidative stress in in vitro, animal, and human studies in an experimental setting. However, in real-life human studies including type 1 and type 2 diabetes patients, there is neither a reproducible relation with oxidative stress nor a correlation between short-term glucose variability and retinopathy, nephropathy, or neuropathy. On the other hand, there is some evidence that long-term glycemic variability might be related to microvascular complications in type 1 and type 2 diabetes. Regarding mortality, a convincing relationship with short-term glucose variability has only been demonstrated in nondiabetic, critically ill patients. Also, glucose variability may have a role in the prediction of severe hypoglycemia. In this review, we first provide an overview of the various methods to measure glucose variability. Second, we review current literature regarding glucose variability and its relation to oxidative stress, long-term diabetic complications, and hypoglycemia. Finally, we make recommendations on whether and how to target glucose variability, concluding that at present we lack both the compelling evidence and the means to target glucose variability separately from all efforts to lower mean glucose while avoiding hypoglycemia.

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(1993) · New England Journal of Medicine · doi:10.1056/nejm199309303291401 · Cited by 24,667
Intensive insulin therapy in critically ill patients.
Van den Berghe, G., Wouters, P., Weekers, F., Verwaest, C., Bruyninckx, F., Schetz, M., Vlasselaers, D., Ferdinande, P., Lauwers, P., & Bouillon, R. (2001) · New England Journal of Medicine · doi:10.1056/nejmoa011300 · Cited by 9,977
Biochemistry and molecular cell biology of diabetic complications
Brownlee, M. (2001) · Nature · doi:10.1038/414813a · Cited by 9,107
The Pathobiology of Diabetic Complications
Brownlee, M. (2005) · Diabetes · doi:10.2337/diabetes.54.6.1615 · Cited by 5,339
Intensive versus Conventional Glucose Control in Critically Ill Patients
(2009) · New England Journal of Medicine · doi:10.1056/nejmoa0810625 · Cited by 5,119
Intensive insulin therapy in the medical ICU
Van den Berghe, G., Wilmer, A., Hermans, G., Meersseman, W., Wouters, P. J., Milants, I., Van Wijngaerden, E., Bobbaers, H., & Bouillon, R. (2006) · New England Journal of Medicine · doi:10.1056/nejmoa052521 · Cited by 3,639
Intensive insulin therapy and pentastarch resuscitation in severe sepsis
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Activation of oxidative stress by acute glucose fluctuations compared with sustained chronic hyperglycemia in patients with type 2 diabetes
Monnier, L., Mas, E., Ginet, C., Michel, F., Villon, L., Cristol, J.-P., & Colette, C. (2006) · JAMA · doi:10.1001/jama.295.14.1681 · Cited by 2,444
The PICO strategy for the research question construction and evidence search
Santos, C. M. D. C., Pimenta, C. A. D. M., & Nobre, M. R. C. (2007) · Revista Latino-Americana de Enfermagem · doi:10.1590/s0104-11692007000300023 · Cited by 2,342
Untitled work
Riddle (2003) · doi:10.2337/diacare.26.11.3080 · Cited by 1,479

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Bugler J, Buell H 2008 Measuring glycemic variability—an estimation of data required based on a 90 day user study. Proc of 27th Workshop of the Artificial Insulin Delivery/Pancreas and Islet Transplantation study group of the European Association for the Study of Diabetes, Innsbruck, Austria, 2008 (Abstract S16)
Devos, 2007, Impact of tight glucose control by intensive insulin therapy on ICU mortality and the rate of hypoglycemia: final results of the Glucontrol study, Intensive Care Med, 33, S189

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Scuffi, C. (2010) · touchREVIEWS in Endocrinology · doi:10.17925/ee.2014.10.01.36 · Cited by 20
Poor Agreement of Computerized Calculators for Mean Amplitude of Glycemic Excursions
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Li, F.-F., Shen, Y., Sun, R., Zhang, D., Jin, X., Zhai, X., Chen, M.-Y., Su, X., Wu, J.-D., Ye, L., et al. (2017) · Diabetes Therapy · doi:10.1007/s13300-017-0303-2 · Cited by 19
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Goldberg, T., Brener, A., Levy, S., Interator, H., Laurian, I., Dorfman, A., Chorna, E., Oren, A., Eyal, O., & Lebenthal, Y. (2020) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.3356 · Cited by 18
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Bharmal, S. H., Cho, J., Ko, J., & Petrov, M. S. (2022) · United European Gastroenterology Journal · doi:10.1002/ueg2.12190 · Cited by 18
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Liu, H., Zhang, W., Hu, Q., Liu, L., Xie, Z., Xu, Y., Jing, G., & Wang, Y. (2022) · International Wound Journal · doi:10.1111/iwj.13948 · Cited by 18

Authors: Siegelaar, S. E., Holleman, F., Hoekstra, J. B. L., & DeVries, J. H.
Affiliations: Amsterdam UMC Location University of Amsterdam (NL)
Corresponding author: Siegelaar, Sarah E.
ORCID: Siegelaar, Sarah E.
Holleman, Frits
DeVries, J. Hans
Venue: Endocrine Reviews
Publisher: The Endocrine Society
Published: 2010-04-01
Volume: 31
Issue: 2
Pages: 171-182
ISSN: 0163-769X (ISSN-L)
1945-7189
DOI: 10.1210/er.2009-0021
OpenAlex: W2100202103
Cited by: 409
References: 80
Citations by year: 2026: 6 · 2025: 10 · 2024: 11 · 2023: 13 · 2022: 28 · 2021: 25 · 2020: 25 · 2019: 30 · 2018: 30 · 2017: 25 · 2016: 26 · 2015: 33 · 2014: 40 · 2013: 37 · 2012: 30
FWCI: 4.79
Type: journal article
Language: en
Open access: closed
Locations: Endocrine Reviews (publishedVersion)
PubMed (publishedVersion)
Pure Amsterdam UMC (publishedVersion)
Data Archiving and Networked Services (DANS) (submittedVersion)
Topics: Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Hyperglycemia and glycemic control in critically ill and hospitalized patients
Keywords: glycemic variability, type 1 diabetes, type 2 diabetes, oxidative stress, microvascular complications, diabetic retinopathy, diabetic nephropathy, diabetic neuropathy, hypoglycemia, glycemic control, HbA1c, glycemic excursions, mortality
MeSH terms: Animals, Blood Glucose, Diabetes Mellitus, Humans, Hypoglycemia, Insulin, Blood Glucose Self-Monitoring, Oxidative Stress, Diabetes Complications

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Glucose Variability; Does It Matter?

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