Imprecision nutrition? Different simultaneous continuous glucose monitors provide discordant meal rankings for incremental postprandial glucose in subjects without diabetes
High postprandial glucose excursions may increase risk for disease. Individuals have widely varying glucose responses to different meals, and precision nutrition approaches often seek to personalize diets to minimize postprandial glycemic responses as measured by continuous glucose monitors (CGMs)....
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| Published in | The American journal of clinical nutrition Vol. 112; no. 4; pp. 1114 - 1119 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
Elsevier Inc
01.10.2020
Oxford University Press American Society for Clinical Nutrition, Inc |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0002-9165 1938-3207 1938-3207 |
| DOI | 10.1093/ajcn/nqaa198 |
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| Abstract | High postprandial glucose excursions may increase risk for disease. Individuals have widely varying glucose responses to different meals, and precision nutrition approaches often seek to personalize diets to minimize postprandial glycemic responses as measured by continuous glucose monitors (CGMs). However, it is unknown whether different CGM devices result in concordant meal rankings according to postprandial glycemic excursions.
We explored whether meal rankings according to postprandial glycemic excursions differ between 2 simultaneously worn CGMs.
We collected 27,489 simultaneous measurements from Dexcom G4 Platinum and Abbott Freestyle Libre Pro CGMs during 28 inpatient days in 16 adults without diabetes. Simultaneous glucose measurements obtained for 2 h following 760 ad libitum meals were used to compare within-subject meal rankings between the CGM devices according to their incremental glucose response.
Postprandial responses to ad libitum meals were highly variable, with the Abbott and Dexcom systems resulting in within-subject incremental mean ± SD glucose CVs of 91.7 ± 1.9% and 94.2 ± 2.7%, respectively. Within-subject meal rankings for incremental glycemic responses were relatively discordant between CGMs, with a mean Kendall rank correlation coefficient of 0.43 ± 0.05. Meals in the bottom compared with those in the top half of incremental glycemic responses ranked by Abbott resulted in 50 ± 10% (P = 0.0002) less glycemic reduction as measured by Dexcom, and vice versa. The missing glycemic reduction by eating meals ranked according to the discordant CGM was inversely correlated with each subject’s Kendall rank correlation coefficient (r = −0.95; P < 0.0001).
Precision nutrition approaches that use CGMs to personalize meal recommendations for minimizing glycemic excursions may be premature given the discordance of within-subject meal rankings between simultaneous CGM devices. More research is needed to clarify the source of this imprecision. This trial was registered at clinicaltrials.gov as NCT03407053. |
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| AbstractList | ABSTRACT
Background
High postprandial glucose excursions may increase risk for disease. Individuals have widely varying glucose responses to different meals, and precision nutrition approaches often seek to personalize diets to minimize postprandial glycemic responses as measured by continuous glucose monitors (CGMs). However, it is unknown whether different CGM devices result in concordant meal rankings according to postprandial glycemic excursions.
Objective
We explored whether meal rankings according to postprandial glycemic excursions differ between 2 simultaneously worn CGMs.
Methods
We collected 27,489 simultaneous measurements from Dexcom G4 Platinum and Abbott Freestyle Libre Pro CGMs during 28 inpatient days in 16 adults without diabetes. Simultaneous glucose measurements obtained for 2 h following 760 ad libitum meals were used to compare within-subject meal rankings between the CGM devices according to their incremental glucose response.
Results
Postprandial responses to ad libitum meals were highly variable, with the Abbott and Dexcom systems resulting in within-subject incremental mean ± SD glucose CVs of 91.7 ± 1.9% and 94.2 ± 2.7%, respectively. Within-subject meal rankings for incremental glycemic responses were relatively discordant between CGMs, with a mean Kendall rank correlation coefficient of 0.43 ± 0.05. Meals in the bottom compared with those in the top half of incremental glycemic responses ranked by Abbott resulted in 50 ± 10% (P = 0.0002) less glycemic reduction as measured by Dexcom, and vice versa. The missing glycemic reduction by eating meals ranked according to the discordant CGM was inversely correlated with each subject's Kendall rank correlation coefficient (r = −0.95; P < 0.0001).
Conclusions
Precision nutrition approaches that use CGMs to personalize meal recommendations for minimizing glycemic excursions may be premature given the discordance of within-subject meal rankings between simultaneous CGM devices. More research is needed to clarify the source of this imprecision. This trial was registered at clinicaltrials.gov as NCT03407053. High postprandial glucose excursions may increase risk for disease. Individuals have widely varying glucose responses to different meals, and precision nutrition approaches often seek to personalize diets to minimize postprandial glycemic responses as measured by continuous glucose monitors (CGMs). However, it is unknown whether different CGM devices result in concordant meal rankings according to postprandial glycemic excursions. We explored whether meal rankings according to postprandial glycemic excursions differ between 2 simultaneously worn CGMs. We collected 27,489 simultaneous measurements from Dexcom G4 Platinum and Abbott Freestyle Libre Pro CGMs during 28 inpatient days in 16 adults without diabetes. Simultaneous glucose measurements obtained for 2 h following 760 ad libitum meals were used to compare within-subject meal rankings between the CGM devices according to their incremental glucose response. Postprandial responses to ad libitum meals were highly variable, with the Abbott and Dexcom systems resulting in within-subject incremental mean ± SD glucose CVs of 91.7 ± 1.9% and 94.2 ± 2.7%, respectively. Within-subject meal rankings for incremental glycemic responses were relatively discordant between CGMs, with a mean Kendall rank correlation coefficient of 0.43 ± 0.05. Meals in the bottom compared with those in the top half of incremental glycemic responses ranked by Abbott resulted in 50 ± 10% (P = 0.0002) less glycemic reduction as measured by Dexcom, and vice versa. The missing glycemic reduction by eating meals ranked according to the discordant CGM was inversely correlated with each subject's Kendall rank correlation coefficient (r = -0.95; P < 0.0001). Precision nutrition approaches that use CGMs to personalize meal recommendations for minimizing glycemic excursions may be premature given the discordance of within-subject meal rankings between simultaneous CGM devices. More research is needed to clarify the source of this imprecision. This trial was registered at clinicaltrials.gov as NCT03407053. Background High postprandial glucose excursions may increase risk for disease. Individuals have widely varying glucose responses to different meals, and precision nutrition approaches often seek to personalize diets to minimize postprandial glycemic responses as measured by continuous glucose monitors (CGMs). However, it is unknown whether different CGM devices result in concordant meal rankings according to postprandial glycemic excursions. Objective We explored whether meal rankings according to postprandial glycemic excursions differ between 2 simultaneously worn CGMs. Methods We collected 27,489 simultaneous measurements from Dexcom G4 Platinum and Abbott Freestyle Libre Pro CGMs during 28 inpatient days in 16 adults without diabetes. Simultaneous glucose measurements obtained for 2 h following 760 ad libitum meals were used to compare within-subject meal rankings between the CGM devices according to their incremental glucose response. Results Postprandial responses to ad libitum meals were highly variable, with the Abbott and Dexcom systems resulting in within-subject incremental mean ± SD glucose CVs of 91.7 ± 1.9% and 94.2 ± 2.7%, respectively. Within-subject meal rankings for incremental glycemic responses were relatively discordant between CGMs, with a mean Kendall rank correlation coefficient of 0.43 ± 0.05. Meals in the bottom compared with those in the top half of incremental glycemic responses ranked by Abbott resulted in 50 ± 10% (P = 0.0002) less glycemic reduction as measured by Dexcom, and vice versa. The missing glycemic reduction by eating meals ranked according to the discordant CGM was inversely correlated with each subject's Kendall rank correlation coefficient (r = −0.95; P < 0.0001). Conclusions Precision nutrition approaches that use CGMs to personalize meal recommendations for minimizing glycemic excursions may be premature given the discordance of within-subject meal rankings between simultaneous CGM devices. More research is needed to clarify the source of this imprecision. This trial was registered at clinicaltrials.gov as NCT03407053. High postprandial glucose excursions may increase risk for disease. Individuals have widely varying glucose responses to different meals, and precision nutrition approaches often seek to personalize diets to minimize postprandial glycemic responses as measured by continuous glucose monitors (CGMs). However, it is unknown whether different CGM devices result in concordant meal rankings according to postprandial glycemic excursions.BACKGROUNDHigh postprandial glucose excursions may increase risk for disease. Individuals have widely varying glucose responses to different meals, and precision nutrition approaches often seek to personalize diets to minimize postprandial glycemic responses as measured by continuous glucose monitors (CGMs). However, it is unknown whether different CGM devices result in concordant meal rankings according to postprandial glycemic excursions.We explored whether meal rankings according to postprandial glycemic excursions differ between 2 simultaneously worn CGMs.OBJECTIVEWe explored whether meal rankings according to postprandial glycemic excursions differ between 2 simultaneously worn CGMs.We collected 27,489 simultaneous measurements from Dexcom G4 Platinum and Abbott Freestyle Libre Pro CGMs during 28 inpatient days in 16 adults without diabetes. Simultaneous glucose measurements obtained for 2 h following 760 ad libitum meals were used to compare within-subject meal rankings between the CGM devices according to their incremental glucose response.METHODSWe collected 27,489 simultaneous measurements from Dexcom G4 Platinum and Abbott Freestyle Libre Pro CGMs during 28 inpatient days in 16 adults without diabetes. Simultaneous glucose measurements obtained for 2 h following 760 ad libitum meals were used to compare within-subject meal rankings between the CGM devices according to their incremental glucose response.Postprandial responses to ad libitum meals were highly variable, with the Abbott and Dexcom systems resulting in within-subject incremental mean ± SD glucose CVs of 91.7 ± 1.9% and 94.2 ± 2.7%, respectively. Within-subject meal rankings for incremental glycemic responses were relatively discordant between CGMs, with a mean Kendall rank correlation coefficient of 0.43 ± 0.05. Meals in the bottom compared with those in the top half of incremental glycemic responses ranked by Abbott resulted in 50 ± 10% (P = 0.0002) less glycemic reduction as measured by Dexcom, and vice versa. The missing glycemic reduction by eating meals ranked according to the discordant CGM was inversely correlated with each subject's Kendall rank correlation coefficient (r = -0.95; P < 0.0001).RESULTSPostprandial responses to ad libitum meals were highly variable, with the Abbott and Dexcom systems resulting in within-subject incremental mean ± SD glucose CVs of 91.7 ± 1.9% and 94.2 ± 2.7%, respectively. Within-subject meal rankings for incremental glycemic responses were relatively discordant between CGMs, with a mean Kendall rank correlation coefficient of 0.43 ± 0.05. Meals in the bottom compared with those in the top half of incremental glycemic responses ranked by Abbott resulted in 50 ± 10% (P = 0.0002) less glycemic reduction as measured by Dexcom, and vice versa. The missing glycemic reduction by eating meals ranked according to the discordant CGM was inversely correlated with each subject's Kendall rank correlation coefficient (r = -0.95; P < 0.0001).Precision nutrition approaches that use CGMs to personalize meal recommendations for minimizing glycemic excursions may be premature given the discordance of within-subject meal rankings between simultaneous CGM devices. More research is needed to clarify the source of this imprecision. This trial was registered at clinicaltrials.gov as NCT03407053.CONCLUSIONSPrecision nutrition approaches that use CGMs to personalize meal recommendations for minimizing glycemic excursions may be premature given the discordance of within-subject meal rankings between simultaneous CGM devices. More research is needed to clarify the source of this imprecision. This trial was registered at clinicaltrials.gov as NCT03407053. High postprandial glucose excursions may increase risk for disease. Individuals have widely varying glucose responses to different meals, and precision nutrition approaches often seek to personalize diets to minimize postprandial glycemic responses as measured by continuous glucose monitors (CGMs). However, it is unknown whether different CGM devices result in concordant meal rankings according to postprandial glycemic excursions. We explored whether meal rankings according to postprandial glycemic excursions differ between 2 simultaneously worn CGMs. We collected 27,489 simultaneous measurements from Dexcom G4 Platinum and Abbott Freestyle Libre Pro CGMs during 28 inpatient days in 16 adults without diabetes. Simultaneous glucose measurements obtained for 2 h following 760 ad libitum meals were used to compare within-subject meal rankings between the CGM devices according to their incremental glucose response. Postprandial responses to ad libitum meals were highly variable, with the Abbott and Dexcom systems resulting in within-subject incremental mean ± SD glucose CVs of 91.7 ± 1.9% and 94.2 ± 2.7%, respectively. Within-subject meal rankings for incremental glycemic responses were relatively discordant between CGMs, with a mean Kendall rank correlation coefficient of 0.43 ± 0.05. Meals in the bottom compared with those in the top half of incremental glycemic responses ranked by Abbott resulted in 50 ± 10% (P = 0.0002) less glycemic reduction as measured by Dexcom, and vice versa. The missing glycemic reduction by eating meals ranked according to the discordant CGM was inversely correlated with each subject’s Kendall rank correlation coefficient (r = −0.95; P < 0.0001). Precision nutrition approaches that use CGMs to personalize meal recommendations for minimizing glycemic excursions may be premature given the discordance of within-subject meal rankings between simultaneous CGM devices. More research is needed to clarify the source of this imprecision. This trial was registered at clinicaltrials.gov as NCT03407053. |
| Author | Howard, Rebecca Guo, Juen Hall, Kevin D |
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| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32766882$$D View this record in MEDLINE/PubMed |
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| Keywords | glucose variability precision nutrition glycemia CGM continuous glucose monitor OGTT personalized nutrition |
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| References | Hall, Perelman, Breschi, Limcaoco, Kellogg, McLaughlin, Snyder (bib1) 2018; 16 Hall, Ayuketah, Brychta, Cai, Cassimatis, Chen, Chung, Costa, Courville, Darcey (bib6) 2019; 30 Blaak, Antoine, Benton, Bjorck, Bozzetto, Brouns, Diamant, Dye, Hulshof, Holst (bib2) 2012; 13 Mendes-Soares, Raveh-Sadka, Azulay, Ben-Shlomo, Cohen, Ofek, Stevens, Bachrach, Kashyap, Segal (bib3) 2019; 110 Van Der Valk, Van Der Schatte Olivier-Steding, Wientjes, Schoonen, Hoogenberg (bib9) 2002; 25 Ellison, Stegmann, Colner, Michael, Sharma, Ervin, Horwitz (bib7) 2002; 25 Jungheim, Koschinsky (bib8) 2002; 25 Zeevi, Korem, Zmora, Israeli, Rothschild, Weinberger, Ben-Yacov, Lador, Avnit-Sagi, Lotan-Pompan (bib4) 2015; 163 Wolever (bib5) 2016; 70 Steineck, Mahmoudi, Ranjan, Schmidt, Jorgensen, Norgaard (bib10) 2019; 21 Ellison (10.1093/ajcn/nqaa198_bib7) 2002; 25 Zeevi (10.1093/ajcn/nqaa198_bib4) 2015; 163 Jungheim (10.1093/ajcn/nqaa198_bib8) 2002; 25 Van Der Valk (10.1093/ajcn/nqaa198_bib9) 2002; 25 Steineck (10.1093/ajcn/nqaa198_bib10) 2019; 21 Hall (10.1093/ajcn/nqaa198_bib6) 2019; 30 Mendes-Soares (10.1093/ajcn/nqaa198_bib3) 2019; 110 Blaak (10.1093/ajcn/nqaa198_bib2) 2012; 13 Hall (10.1093/ajcn/nqaa198_bib1) 2018; 16 Wolever (10.1093/ajcn/nqaa198_bib5) 2016; 70 |
| References_xml | – volume: 25 start-page: 2114 year: 2002 end-page: 2115 ident: bib9 article-title: Alternative-site blood glucose measurement at the abdomen publication-title: Diabetes Care. – volume: 163 start-page: 1079 year: 2015 end-page: 1094 ident: bib4 article-title: Personalized nutrition by prediction of glycemic responses publication-title: Cell. – volume: 70 start-page: 411 year: 2016 end-page: 413 ident: bib5 article-title: Personalized nutrition by prediction of glycaemic responses: fact or fantasy? publication-title: Eur J Clin Nutr. – volume: 30 start-page: 67 year: 2019 end-page: 77 ident: bib6 article-title: Ultra-processed diets cause excess calorie intake and weight gain: an inpatient randomized controlled trial of ad libitum food publication-title: Cell Metab. – volume: 25 start-page: 961 year: 2002 end-page: 964 ident: bib7 article-title: Rapid changes in postprandial blood glucose produce concentration differences at finger, forearm, and thigh sampling sites publication-title: Diabetes Care. – volume: 25 start-page: 956 year: 2002 end-page: 960 ident: bib8 article-title: Glucose monitoring at the arm: risky delays of hypoglycemia and hyperglycemia detection publication-title: Diabetes Care. – volume: 21 start-page: 295 year: 2019 end-page: 302 ident: bib10 article-title: Comparison of continuous glucose monitoring accuracy between abdominal and upper arm insertion sites publication-title: Diabetes Technol Ther. – volume: 110 start-page: 63 year: 2019 end-page: 75 ident: bib3 article-title: Model of personalized postprandial glycemic response to food developed for an Israeli cohort predicts responses in Midwestern American individuals publication-title: Am J Clin Nutr. – volume: 13 start-page: 923 year: 2012 end-page: 984 ident: bib2 article-title: Impact of postprandial glycaemia on health and prevention of disease publication-title: Obes Rev. – volume: 16 start-page: e2005143 year: 2018 ident: bib1 article-title: Glucotypes reveal new patterns of glucose dysregulation publication-title: PLoS Biol. – volume: 30 start-page: 67 issue: 1 year: 2019 ident: 10.1093/ajcn/nqaa198_bib6 article-title: Ultra-processed diets cause excess calorie intake and weight gain: an inpatient randomized controlled trial of ad libitum food publication-title: Cell Metab. doi: 10.1016/j.cmet.2019.05.008 – volume: 163 start-page: 1079 issue: 5 year: 2015 ident: 10.1093/ajcn/nqaa198_bib4 article-title: Personalized nutrition by prediction of glycemic responses publication-title: Cell. doi: 10.1016/j.cell.2015.11.001 – volume: 13 start-page: 923 issue: 10 year: 2012 ident: 10.1093/ajcn/nqaa198_bib2 article-title: Impact of postprandial glycaemia on health and prevention of disease publication-title: Obes Rev. doi: 10.1111/j.1467-789X.2012.01011.x – volume: 21 start-page: 295 issue: 5 year: 2019 ident: 10.1093/ajcn/nqaa198_bib10 article-title: Comparison of continuous glucose monitoring accuracy between abdominal and upper arm insertion sites publication-title: Diabetes Technol Ther. doi: 10.1089/dia.2019.0014 – volume: 16 start-page: e2005143 issue: 7 year: 2018 ident: 10.1093/ajcn/nqaa198_bib1 article-title: Glucotypes reveal new patterns of glucose dysregulation publication-title: PLoS Biol. doi: 10.1371/journal.pbio.2005143 – volume: 70 start-page: 411 issue: 4 year: 2016 ident: 10.1093/ajcn/nqaa198_bib5 article-title: Personalized nutrition by prediction of glycaemic responses: fact or fantasy? publication-title: Eur J Clin Nutr. doi: 10.1038/ejcn.2016.31 – volume: 110 start-page: 63 issue: 1 year: 2019 ident: 10.1093/ajcn/nqaa198_bib3 article-title: Model of personalized postprandial glycemic response to food developed for an Israeli cohort predicts responses in Midwestern American individuals publication-title: Am J Clin Nutr. doi: 10.1093/ajcn/nqz028 – volume: 25 start-page: 956 issue: 6 year: 2002 ident: 10.1093/ajcn/nqaa198_bib8 article-title: Glucose monitoring at the arm: risky delays of hypoglycemia and hyperglycemia detection publication-title: Diabetes Care. doi: 10.2337/diacare.25.6.956 – volume: 25 start-page: 961 issue: 6 year: 2002 ident: 10.1093/ajcn/nqaa198_bib7 article-title: Rapid changes in postprandial blood glucose produce concentration differences at finger, forearm, and thigh sampling sites publication-title: Diabetes Care. doi: 10.2337/diacare.25.6.961 – volume: 25 start-page: 2114 issue: 11 year: 2002 ident: 10.1093/ajcn/nqaa198_bib9 article-title: Alternative-site blood glucose measurement at the abdomen publication-title: Diabetes Care. doi: 10.2337/diacare.25.11.2114 |
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| Snippet | High postprandial glucose excursions may increase risk for disease. Individuals have widely varying glucose responses to different meals, and precision... ABSTRACT Background High postprandial glucose excursions may increase risk for disease. Individuals have widely varying glucose responses to different meals,... Background High postprandial glucose excursions may increase risk for disease. Individuals have widely varying glucose responses to different meals, and... |
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| SubjectTerms | Adult Blood Glucose - analysis continuous glucose monitor Correlation coefficient Correlation coefficients Diabetes Diabetes mellitus Discordance Editor's Choice Female Glucose Glucose monitoring glucose variability glycemia Health risks Humans Male Meals Monitors Nutrition Nutritional Sciences Nutritional Status Original Research Communications personalized nutrition Platinum Postprandial Period - physiology Precision Medicine precision nutrition Reduction |
| Title | Imprecision nutrition? Different simultaneous continuous glucose monitors provide discordant meal rankings for incremental postprandial glucose in subjects without diabetes |
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