Carbohydrate counting accuracy and blood glucose variability in adults with type 1 diabetes
Abstract Aims Carbohydrate counting is an established approach used by patients with type 1 diabetes to improve their glycemic control. The aims of this study were to evaluate, in real life conditions, the accuracy of meal carbohydrate estimate and its impact on glycemic variability. Methods In this...
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Veröffentlicht in: | Diabetes research and clinical practice 2013-01, Vol.99 (1), p.19-23 |
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description | Abstract Aims Carbohydrate counting is an established approach used by patients with type 1 diabetes to improve their glycemic control. The aims of this study were to evaluate, in real life conditions, the accuracy of meal carbohydrate estimate and its impact on glycemic variability. Methods In this cross-sectional study, we observed the ability of 50 adults (48% women) with type 1 diabetes (age: 42.7 ± 11.1 years); diabetes duration: 21.4 ± 12.7 years; HbA1c: 7.2 ± 1.2% (60 ± 10 mmol/mol) to accurately estimate carbohydrates by analyzing 72-h food records and their corresponding 72-h blood glucose excursions using a continuous glucose monitor. Results The mean meal carbohydrate difference, between the patients’ estimates and those assessed by a dietitian using a computerized analysis program, was 15.4 ± 7.8 g or 20.9 ± 9.7% of the total CHO content per meal (72.4 ± 34.7 g per meal). Sixty-three percent of the 448 meals analyzed were underestimated. Greater differences in CHO's estimates predicted higher glycemic variability, as measured by the MAGE index and glucose standard deviation, and decreased time with glucose values between 4 and 10 mmol/L ( R2 = 0.110, 0.114 and 0.110, respectively; P < 0.05). Conclusion Inaccurate carbohydrate counting is frequent and associated with higher daily blood glucose variability in adults with type 1 diabetes. |
doi_str_mv | 10.1016/j.diabres.2012.10.024 |
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The aims of this study were to evaluate, in real life conditions, the accuracy of meal carbohydrate estimate and its impact on glycemic variability. Methods In this cross-sectional study, we observed the ability of 50 adults (48% women) with type 1 diabetes (age: 42.7 ± 11.1 years); diabetes duration: 21.4 ± 12.7 years; HbA1c: 7.2 ± 1.2% (60 ± 10 mmol/mol) to accurately estimate carbohydrates by analyzing 72-h food records and their corresponding 72-h blood glucose excursions using a continuous glucose monitor. Results The mean meal carbohydrate difference, between the patients’ estimates and those assessed by a dietitian using a computerized analysis program, was 15.4 ± 7.8 g or 20.9 ± 9.7% of the total CHO content per meal (72.4 ± 34.7 g per meal). Sixty-three percent of the 448 meals analyzed were underestimated. Greater differences in CHO's estimates predicted higher glycemic variability, as measured by the MAGE index and glucose standard deviation, and decreased time with glucose values between 4 and 10 mmol/L ( R2 = 0.110, 0.114 and 0.110, respectively; P < 0.05). Conclusion Inaccurate carbohydrate counting is frequent and associated with higher daily blood glucose variability in adults with type 1 diabetes.</description><identifier>ISSN: 0168-8227</identifier><identifier>EISSN: 1872-8227</identifier><identifier>DOI: 10.1016/j.diabres.2012.10.024</identifier><identifier>PMID: 23146371</identifier><language>eng</language><publisher>Ireland: Elsevier Ireland Ltd</publisher><subject>Adult ; Blood Glucose - analysis ; Carbohydrate ; Combined Modality Therapy ; Cross-Sectional Studies ; Diabetes Mellitus, Type 1 - blood ; Diabetes Mellitus, Type 1 - diet therapy ; Diabetes Mellitus, Type 1 - drug therapy ; Diet ; Diet, Carbohydrate-Restricted ; Dietary Carbohydrates - administration & dosage ; Endocrinology & Metabolism ; Female ; Glucose variability ; Glycated Hemoglobin A - analysis ; Glycemic control ; Humans ; Hyperglycemia - prevention & control ; Hypoglycemia - prevention & control ; Hypoglycemic Agents - therapeutic use ; Insulin - therapeutic use ; Male ; Middle Aged ; Monitoring, Ambulatory ; Patient Compliance ; Patient Education as Topic ; Quebec ; Type 1 diabetes</subject><ispartof>Diabetes research and clinical practice, 2013-01, Vol.99 (1), p.19-23</ispartof><rights>Elsevier Ireland Ltd</rights><rights>2012 Elsevier Ireland Ltd</rights><rights>Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c420t-8bacf9a19156f2c026b956e394388ff39a4c21a78c8d3c1713ab84739e28cd523</citedby><cites>FETCH-LOGICAL-c420t-8bacf9a19156f2c026b956e394388ff39a4c21a78c8d3c1713ab84739e28cd523</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.diabres.2012.10.024$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23146371$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Brazeau, A.S</creatorcontrib><creatorcontrib>Mircescu, H</creatorcontrib><creatorcontrib>Desjardins, K</creatorcontrib><creatorcontrib>Leroux, C</creatorcontrib><creatorcontrib>Strychar, I</creatorcontrib><creatorcontrib>Ekoé, J.M</creatorcontrib><creatorcontrib>Rabasa-Lhoret, R</creatorcontrib><title>Carbohydrate counting accuracy and blood glucose variability in adults with type 1 diabetes</title><title>Diabetes research and clinical practice</title><addtitle>Diabetes Res Clin Pract</addtitle><description>Abstract Aims Carbohydrate counting is an established approach used by patients with type 1 diabetes to improve their glycemic control. The aims of this study were to evaluate, in real life conditions, the accuracy of meal carbohydrate estimate and its impact on glycemic variability. Methods In this cross-sectional study, we observed the ability of 50 adults (48% women) with type 1 diabetes (age: 42.7 ± 11.1 years); diabetes duration: 21.4 ± 12.7 years; HbA1c: 7.2 ± 1.2% (60 ± 10 mmol/mol) to accurately estimate carbohydrates by analyzing 72-h food records and their corresponding 72-h blood glucose excursions using a continuous glucose monitor. Results The mean meal carbohydrate difference, between the patients’ estimates and those assessed by a dietitian using a computerized analysis program, was 15.4 ± 7.8 g or 20.9 ± 9.7% of the total CHO content per meal (72.4 ± 34.7 g per meal). Sixty-three percent of the 448 meals analyzed were underestimated. Greater differences in CHO's estimates predicted higher glycemic variability, as measured by the MAGE index and glucose standard deviation, and decreased time with glucose values between 4 and 10 mmol/L ( R2 = 0.110, 0.114 and 0.110, respectively; P < 0.05). Conclusion Inaccurate carbohydrate counting is frequent and associated with higher daily blood glucose variability in adults with type 1 diabetes.</description><subject>Adult</subject><subject>Blood Glucose - analysis</subject><subject>Carbohydrate</subject><subject>Combined Modality Therapy</subject><subject>Cross-Sectional Studies</subject><subject>Diabetes Mellitus, Type 1 - blood</subject><subject>Diabetes Mellitus, Type 1 - diet therapy</subject><subject>Diabetes Mellitus, Type 1 - drug therapy</subject><subject>Diet</subject><subject>Diet, Carbohydrate-Restricted</subject><subject>Dietary Carbohydrates - administration & dosage</subject><subject>Endocrinology & Metabolism</subject><subject>Female</subject><subject>Glucose variability</subject><subject>Glycated Hemoglobin A - analysis</subject><subject>Glycemic control</subject><subject>Humans</subject><subject>Hyperglycemia - prevention & control</subject><subject>Hypoglycemia - prevention & control</subject><subject>Hypoglycemic Agents - therapeutic use</subject><subject>Insulin - therapeutic use</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Monitoring, Ambulatory</subject><subject>Patient Compliance</subject><subject>Patient Education as Topic</subject><subject>Quebec</subject><subject>Type 1 diabetes</subject><issn>0168-8227</issn><issn>1872-8227</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkT1vFDEQhi1ERI7ATwC5pLnDH_thNyB0AhIpUopARWF5x7OJj731YXsT7b_Hyx0UNKlsjZ6Z136GkDecbTjjzfvdxnnbRUwbwbgotQ0T1TOy4qoVayVE-5ysCqf-3M_Jy5R2jLFGVvULci4krxrZ8hX5sbWxC_ezizYjhTCN2Y931AJM0cJM7ehoN4Tg6N0wQUhIH2wswX7weaZ-pNZNQ0700ed7mucDUk6Xh2HG9Iqc9XZI-Pp0XpDvXz5_216ur2--Xm0_Xa-hEiyvVWeh15ZrXje9ACaaTtcNSl1JpfpealuB4LZVoJwE3nJpO1W1UqNQ4GohL8i749xDDL8mTNnsfQIcBjtimJLhomKaMS3rgtZHFGJIKWJvDtHvbZwNZ2bxanbm5NUsXpdy8Vr63p4ipm6P7l_XX5EF-HgEsHz0wWM0CTyOgM5HhGxc8E9GfPhvAgx-9GCHnzhj2oUpjsWi4SYJw8ztstxlt1wwJjXX8jc4A6DA</recordid><startdate>20130101</startdate><enddate>20130101</enddate><creator>Brazeau, A.S</creator><creator>Mircescu, H</creator><creator>Desjardins, K</creator><creator>Leroux, C</creator><creator>Strychar, I</creator><creator>Ekoé, J.M</creator><creator>Rabasa-Lhoret, R</creator><general>Elsevier Ireland Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20130101</creationdate><title>Carbohydrate counting accuracy and blood glucose variability in adults with type 1 diabetes</title><author>Brazeau, A.S ; Mircescu, H ; Desjardins, K ; Leroux, C ; Strychar, I ; Ekoé, J.M ; Rabasa-Lhoret, R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c420t-8bacf9a19156f2c026b956e394388ff39a4c21a78c8d3c1713ab84739e28cd523</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Adult</topic><topic>Blood Glucose - analysis</topic><topic>Carbohydrate</topic><topic>Combined Modality Therapy</topic><topic>Cross-Sectional Studies</topic><topic>Diabetes Mellitus, Type 1 - blood</topic><topic>Diabetes Mellitus, Type 1 - diet therapy</topic><topic>Diabetes Mellitus, Type 1 - drug therapy</topic><topic>Diet</topic><topic>Diet, Carbohydrate-Restricted</topic><topic>Dietary Carbohydrates - administration & dosage</topic><topic>Endocrinology & Metabolism</topic><topic>Female</topic><topic>Glucose variability</topic><topic>Glycated Hemoglobin A - analysis</topic><topic>Glycemic control</topic><topic>Humans</topic><topic>Hyperglycemia - prevention & control</topic><topic>Hypoglycemia - prevention & control</topic><topic>Hypoglycemic Agents - therapeutic use</topic><topic>Insulin - therapeutic use</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Monitoring, Ambulatory</topic><topic>Patient Compliance</topic><topic>Patient Education as Topic</topic><topic>Quebec</topic><topic>Type 1 diabetes</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Brazeau, A.S</creatorcontrib><creatorcontrib>Mircescu, H</creatorcontrib><creatorcontrib>Desjardins, K</creatorcontrib><creatorcontrib>Leroux, C</creatorcontrib><creatorcontrib>Strychar, I</creatorcontrib><creatorcontrib>Ekoé, J.M</creatorcontrib><creatorcontrib>Rabasa-Lhoret, R</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Diabetes research and clinical practice</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Brazeau, A.S</au><au>Mircescu, H</au><au>Desjardins, K</au><au>Leroux, C</au><au>Strychar, I</au><au>Ekoé, J.M</au><au>Rabasa-Lhoret, R</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Carbohydrate counting accuracy and blood glucose variability in adults with type 1 diabetes</atitle><jtitle>Diabetes research and clinical practice</jtitle><addtitle>Diabetes Res Clin Pract</addtitle><date>2013-01-01</date><risdate>2013</risdate><volume>99</volume><issue>1</issue><spage>19</spage><epage>23</epage><pages>19-23</pages><issn>0168-8227</issn><eissn>1872-8227</eissn><abstract>Abstract Aims Carbohydrate counting is an established approach used by patients with type 1 diabetes to improve their glycemic control. The aims of this study were to evaluate, in real life conditions, the accuracy of meal carbohydrate estimate and its impact on glycemic variability. Methods In this cross-sectional study, we observed the ability of 50 adults (48% women) with type 1 diabetes (age: 42.7 ± 11.1 years); diabetes duration: 21.4 ± 12.7 years; HbA1c: 7.2 ± 1.2% (60 ± 10 mmol/mol) to accurately estimate carbohydrates by analyzing 72-h food records and their corresponding 72-h blood glucose excursions using a continuous glucose monitor. Results The mean meal carbohydrate difference, between the patients’ estimates and those assessed by a dietitian using a computerized analysis program, was 15.4 ± 7.8 g or 20.9 ± 9.7% of the total CHO content per meal (72.4 ± 34.7 g per meal). Sixty-three percent of the 448 meals analyzed were underestimated. Greater differences in CHO's estimates predicted higher glycemic variability, as measured by the MAGE index and glucose standard deviation, and decreased time with glucose values between 4 and 10 mmol/L ( R2 = 0.110, 0.114 and 0.110, respectively; P < 0.05). Conclusion Inaccurate carbohydrate counting is frequent and associated with higher daily blood glucose variability in adults with type 1 diabetes.</abstract><cop>Ireland</cop><pub>Elsevier Ireland Ltd</pub><pmid>23146371</pmid><doi>10.1016/j.diabres.2012.10.024</doi><tpages>5</tpages></addata></record> |
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subjects | Adult Blood Glucose - analysis Carbohydrate Combined Modality Therapy Cross-Sectional Studies Diabetes Mellitus, Type 1 - blood Diabetes Mellitus, Type 1 - diet therapy Diabetes Mellitus, Type 1 - drug therapy Diet Diet, Carbohydrate-Restricted Dietary Carbohydrates - administration & dosage Endocrinology & Metabolism Female Glucose variability Glycated Hemoglobin A - analysis Glycemic control Humans Hyperglycemia - prevention & control Hypoglycemia - prevention & control Hypoglycemic Agents - therapeutic use Insulin - therapeutic use Male Middle Aged Monitoring, Ambulatory Patient Compliance Patient Education as Topic Quebec Type 1 diabetes |
title | Carbohydrate counting accuracy and blood glucose variability in adults with type 1 diabetes |
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