{"title":"¿De qué nos sirve evaluar las tendencias del perfil glucémico ambulatorio?","authors":"Eva Solá Izquierdo","doi":"10.1016/j.avdiab.2014.06.002","DOIUrl":null,"url":null,"abstract":"<div><p>The ambulatory glucose profile is an instrument used to detect blood glucose patterns from patient results by recording blood glucose results or, more usually, by continuous glucose monitoring. This instrument analyzes the changes in glucose levels obtained over a number of days, and expresses the data, depending on the time of the day, using the median and the 10<sup>th</sup>, 25<sup>th</sup>, 75<sup>th</sup> and 90<sup>th</sup> percentiles. It is very useful for identifying glycemic patterns over the day, to quantify blood glucose variability, and to classify hypoglycemia risk according to time. This should be complemented with the analysis of individual blood glucose data, diet, and exercise, to detect potential causes of variability and correct them.</p></div>","PeriodicalId":100152,"journal":{"name":"Avances en Diabetología","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.avdiab.2014.06.002","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Avances en Diabetología","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1134323014000635","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The ambulatory glucose profile is an instrument used to detect blood glucose patterns from patient results by recording blood glucose results or, more usually, by continuous glucose monitoring. This instrument analyzes the changes in glucose levels obtained over a number of days, and expresses the data, depending on the time of the day, using the median and the 10th, 25th, 75th and 90th percentiles. It is very useful for identifying glycemic patterns over the day, to quantify blood glucose variability, and to classify hypoglycemia risk according to time. This should be complemented with the analysis of individual blood glucose data, diet, and exercise, to detect potential causes of variability and correct them.