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Smith TJ, Wilson MA, Karl JP, Austin K, Bukhari A, Pasiakos SM, O’Connor KL, Lieberman HR. Interstitial glucose concentrations and hypoglycemia during 2 days of caloric deficit and sustained exercise: a double-blind, placebo-controlled trial. J Appl Physiol (1985) 2016; 121:1208-1216. [DOI: 10.1152/japplphysiol.00432.2016] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2016] [Revised: 09/06/2016] [Accepted: 09/26/2016] [Indexed: 11/22/2022] Open
Abstract
Military personnel and some athlete populations endure short-term energy deficits from reduced energy intake and/or increased energy expenditure (EE) that may degrade physical and cognitive performance due to severe hypoglycemia (<3.1 mmol/l). The extent to which energy deficits alter normoglycemia (3.9–7.8 mmol/l) in healthy individuals is not known, since prior studies measured glucose infrequently, not continuously. The purpose of this study was to characterize the glycemic response to acute, severe energy deficit compared with fully fed control condition, using continuous glucose monitoring (CGM). For 2 days during a double-blind, placebo-controlled, crossover study, 23 volunteers (17 men/6 women; age: 21.3 ± 3.0 yr; body mass index: 25 ± 3 kg/m) increased habitual daily EE [2,300 ± 450 kcal/day [means ± SD)] by 1,647 ± 345 kcal/day through prescribed exercise (~3 h/day; 40–65% peak O2 consumption), and consumed diets designed to maintain energy balance (FED) or induce 93% energy deficit (DEF). Interstitial glucose concentrations were measured continuously by CGM (Medtronic Minimed). Interstitial glucose concentrations were 1.0 ± 0.9 mmol/l lower during DEF vs. FED ( P < 0.0001). The percentage of time spent in mild (3.1–3.8 mmol/l) hypoglycemia was higher during DEF compared with FED [mean difference = 20.5%; 95% confidence interval (CI): 13.1%, 27.9%; P = 0.04], while time spent in severe (<3.1 mmol/l) hypoglycemia was not different between interventions (mean difference = 4.6%; 95% CI: −0.6%, 9.8%; P = 0.10). Three of 23 participants spontaneously reported symptoms (e.g., nausea) potentially related to hypoglycemia during DEF, and an additional participant reported symptoms during both interventions. These findings suggest that severe hypoglycemia rarely occurs in healthy individuals enduring severe, short-term energy deficit secondary to heavy exercise and inadequate energy intake.
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Affiliation(s)
- Tracey J. Smith
- Military Nutrition Division, US Army Research Institute of Environmental Medicine, Natick, Massachusetts
| | - Marques A. Wilson
- Military Nutrition Division, US Army Research Institute of Environmental Medicine, Natick, Massachusetts
| | - J. Philip Karl
- Military Nutrition Division, US Army Research Institute of Environmental Medicine, Natick, Massachusetts
| | - Krista Austin
- Military Nutrition Division, US Army Research Institute of Environmental Medicine, Natick, Massachusetts
| | - Asma Bukhari
- Military Nutrition Division, US Army Research Institute of Environmental Medicine, Natick, Massachusetts
| | - Stefan M. Pasiakos
- Military Nutrition Division, US Army Research Institute of Environmental Medicine, Natick, Massachusetts
| | - Kristie L. O’Connor
- Military Nutrition Division, US Army Research Institute of Environmental Medicine, Natick, Massachusetts
| | - Harris R. Lieberman
- Military Nutrition Division, US Army Research Institute of Environmental Medicine, Natick, Massachusetts
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El-Nawawy A. Real-time continuous glucose monitoring in children with critical illness - do we need it? Indian J Crit Care Med 2016; 19:631-2. [PMID: 26730111 PMCID: PMC4687169 DOI: 10.4103/0972-5229.169321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Affiliation(s)
- Ahmed El-Nawawy
- Department of Pediatrics, Faculty of Medicine, Alexandria University, Alexandria, Egypt
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Marics G, Lendvai Z, Lódi C, Koncz L, Zakariás D, Schuster G, Mikos B, Hermann C, Szabó AJ, Tóth-Heyn P. Evaluation of an open access software for calculating glucose variability parameters of a continuous glucose monitoring system applied at pediatric intensive care unit. Biomed Eng Online 2015; 14:37. [PMID: 25907677 PMCID: PMC4416329 DOI: 10.1186/s12938-015-0035-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2015] [Accepted: 04/08/2015] [Indexed: 01/04/2023] Open
Abstract
Background Continuous Glucose Monitoring (CGM) has become an increasingly investigated tool, especially with regards to monitoring of diabetic and critical care patients. The continuous glucose data allows the calculation of several glucose variability parameters, however, without specific application the interpretation of the results is time-consuming, utilizing extreme efforts. Our aim was to create an open access software [Glycemic Variability Analyzer Program (GVAP)], readily available to calculate the most common parameters of the glucose variability and to test its usability. Methods The GVAP was developed in MATLAB® 2010b environment. The calculated parameters were the following: average area above/below the target range (Avg. AUC-H/L); Percentage Spent Above/Below the Target Range (PATR/PBTR); Continuous Overall Net Glycemic Action (CONGA); Mean of Daily Differences (MODD); Mean Amplitude of Glycemic Excursions (MAGE). For verification purposes we selected 14 CGM curves of pediatric critical care patients. Medtronic® Guardian® Real-Time with Enlite® sensor was used. The reference values were obtained from Medtronic®’s own software for Avg. AUC-H/L and PATR/PBTR, from GlyCulator for MODD and CONGA, and using manual calculation for MAGE. Results The Pearson and Spearman correlation coefficients were above 0.99 for all parameters. The initial execution took 30 minutes, for further analysis with the Windows® Standalone Application approximately 1 minute was needed. Conclusions The GVAP is a reliable open access program for analyzing different glycemic variability parameters, hence it could be a useful tool for the study of glycemic control among critically ill patients. Electronic supplementary material The online version of this article (doi:10.1186/s12938-015-0035-3) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Gábor Marics
- First Department of Pediatrics, Semmelweis University, Bókay u. 53-54, Budapest, 1083, Hungary.
| | - Zsófia Lendvai
- First Department of Pediatrics, Semmelweis University, Bókay u. 53-54, Budapest, 1083, Hungary.
| | - Csaba Lódi
- First Department of Pediatrics, Semmelweis University, Bókay u. 53-54, Budapest, 1083, Hungary.
| | - Levente Koncz
- MRE Bethesda Children's Hospital, Bethesda u. 3, Budapest, 1146, Hungary.
| | - Dávid Zakariás
- First Department of Pediatrics, Semmelweis University, Bókay u. 53-54, Budapest, 1083, Hungary.
| | - György Schuster
- Department of Measurement and Automation, Kálmán Kandó Faculty of Electrical Engineering, Óbuda University, Bécsi út 96/B, Budapest, 1034, Hungary.
| | - Borbála Mikos
- MRE Bethesda Children's Hospital, Bethesda u. 3, Budapest, 1146, Hungary.
| | - Csaba Hermann
- Department of Anesthesia and Intensive Care, Semmelweis University, Kútvölgyi út 4, Budapest, 1125, Hungary.
| | - Attila J Szabó
- First Department of Pediatrics, Semmelweis University, Bókay u. 53-54, Budapest, 1083, Hungary. .,MTA-SE Pediatrics and Nephrology Research Group, Bókay u. 53, Budapest, 1083, Hungary.
| | - Péter Tóth-Heyn
- First Department of Pediatrics, Semmelweis University, Bókay u. 53-54, Budapest, 1083, Hungary.
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