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Determination of Postprandial Glycemic Responses by Continuous Glucose Monitoring in a Real-World Setting.
Röhling, Martin; Martin, Tobias; Wonnemann, Meinolf; Kragl, Martin; Klein, Horst Harald; Heinemann, Lutz; Martin, Stephan; Kempf, Kerstin.
Afiliação
  • Röhling M; West-German Centre of Diabetes and Health, Düsseldorf Catholic Hospital Group, Hohensandweg 37, 40591, Düsseldorf, Germany. martin.roehling@vkkd-kliniken.de.
  • Martin T; Faculty of Medicine, Ruhr-University Bochum, 44801 Bochum, Germany. tobias.martin130297@gmail.com.
  • Wonnemann M; Bionorica SE, 92318 Neumarkt, Germany. meinolf.wonnemann@bionorica.de.
  • Kragl M; Bionorica SE, 92318 Neumarkt, Germany. martin.kragl@bionorica.de.
  • Klein HH; Faculty of Medicine, Ruhr-University Bochum, 44801 Bochum, Germany. harald.klein@bergmannsheil.de.
  • Heinemann L; Science Consulting in Diabetes GmbH, 41462 Neuss, Germany. lutz.heinemann@profil.com.
  • Martin S; West-German Centre of Diabetes and Health, Düsseldorf Catholic Hospital Group, Hohensandweg 37, 40591, Düsseldorf, Germany. Stephan.Martin@uni-duesseldorf.de.
  • Kempf K; Faculty of Medicine, Heinrich Heine University Düsseldorf, 40225 Düsseldorf, Germany. Stephan.Martin@uni-duesseldorf.de.
Nutrients ; 11(10)2019 Sep 27.
Article em En | MEDLINE | ID: mdl-31569815
ABSTRACT

BACKGROUND:

Self-monitoring of blood glucose using capillary glucose testing (C) has a number of shortcomings compared to continuous glucose monitoring (CGM). We aimed to compare these two methods and used blood glucose measurements in venous blood (IV) as a reference. Postprandial blood glucose levels were measured after 50 g oral glucose load and after the consumption of a portion of different foods containing 50 g of carbohydrates. We also evaluated the associations between postprandial glucose responses and the clinical characteristics of the participants at the beginning of the study.

METHODS:

12 healthy volunteers (age 36 ± 17 years, BMI 24.9 ± 3.5 kg/m²) ate white bread (WB) and whole grain (WG) bread and drank a 50 g glucose drink as reference. Postprandial glucose responses were evaluated by CGM, IV and C blood glucose measurements. Incremental area under the curve (AUCi) of postprandial blood glucose was calculated for 1 h (AUCi 0-60) and 2 h (AUCi 0-120).

RESULTS:

After the consumption of white bread and whole grain bread, the AUCi 0-60 min did not differ between CGM and IV or C. AUCi 0-120 min of CGM showed no difference compared to C. Correlation analyses revealed a positive association of age with glucose AUCi 0-120 (r = 0.768; P = 0.004) and WG AUCi 0-120 (r = 0.758; P = 0.004); fasting blood glucose correlated with WG AUCi 0-120 (r = 0.838; P < 0.001).

CONCLUSION:

Despite considerable inter-individual variability of postprandial glycemic responses, CGM evaluated postprandial glycemic excursions which had comparable results compared to standard blood glucose measurements under real-life conditions. Associations of AUCi 0-60 and AUCi 0-120 postprandial glucose response with age or fasting blood glucose could be shown.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Glicemia / Automonitorização da Glicemia / Período Pós-Prandial / Glucose Tipo de estudo: Prognostic_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Nutrients Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Glicemia / Automonitorização da Glicemia / Período Pós-Prandial / Glucose Tipo de estudo: Prognostic_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Nutrients Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Alemanha