Poor agreement of computerized calculators for mean amplitude of glycemic excursions.
Abstract Background: Glucose variability has been identified as a predictor of hypoglycemia and has been associated with mortality in critically ill patients without diabetes. A popular metric to quantify glucose variability is the mean amplitude of glycemic excursions (MAGE). The 'ruler and pencil'...
| Publicado en: | Diabetes Technology & Therapeutics Vol. 16; no. 2; pp. 72 - 76 |
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| Autores principales: | , , |
| Formato: | research Journal Article |
| Publicado: |
Mary Ann Liebert, Inc.
Feb2014
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104004109&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104004109 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15209156 N3C jtl: Diabetes Technology & Therapeutics issn: 15209156 maglogo: N pubinfo: dt: Feb2014 vid: 16 iid: 2 pid: 1365 pub: Mary Ann Liebert, Inc. place: New Rochelle, New York artinfo: ui: 104004109 104004109 2012446838 10.1089/dia.2013.0138 NLM24191760 104004109 ppf: 72 ppct: 4 formats: tig: atl: Poor agreement of computerized calculators for mean amplitude of glycemic excursions. aug: au: Sechterberger, Marjolein K Luijf, Yoeri M Devries, J Hans affil: Department of Internal Medicine, Academic Medical Centre , Amsterdam, The Netherlands . sug: subj: Blood Glucose Metabolism Blood Glucose Self-Monitoring Methods Glycated Hemoglobin Metabolism Monitoring, Physiologic Methods Software Analysis of Variance Data Analysis, Statistical Female Glycemic Index Human Hypoglycemia Prevention and Control Male Observer Bias Reference Values Reproducibility of Results Female Male ab: Abstract Background: Glucose variability has been identified as a predictor of hypoglycemia and has been associated with mortality in critically ill patients without diabetes. A popular metric to quantify glucose variability is the mean amplitude of glycemic excursions (MAGE). The 'ruler and pencil' approach to calculate MAGE is operator-dependent and time-consuming for analysis of continuous glucose monitoring data. Therefore, several computer software programs have been developed for the automated calculation of MAGE. The aim of our study was to evaluate the agreement of currently available MAGE calculators when applied to the same set of continuous glucose monitoring (CGM) traces. Materials and Methods: Four software programs for calculation of MAGE were identified and used to calculate MAGE of 21 CGM traces from seven patients with type 1 diabetes. Subsequently, the median MAGE per calculator was calculated. The correlation between the MAGE calculators was evaluated by Spearman's correlation analysis. Between-group comparison was performed using analysis of variance. Results: The median MAGE (interquartile range) per calculator was 8.7 (7.1-10.7), 6.7 (5.5-8.6), 6.7 (5.2-8.6), and 5.8 (4.3-7.1), which was statistically different overall (P<0.001). The correlation coefficients between the calculators ranged from 0.787 to 0.999. Conclusions: Available computer programs developed to calculate MAGE show varying agreement. Although software programs for the calculation of MAGE would seem attractive to assess glucose variability, their use has limitations by different outcomes, in the absence of a gold standard. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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