<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>11(5)</volume><submitter>Stechova K</submitter><pubmed_abstract>Post-prandial hyperglycemia is still a challenging issue in intensified insulin therapy. Data of 35 T1D patients during a four-week period were analyzed: RT-CGM (real time continuous glucose monitoring) record, insulin doses, diet (including meal photos), energy expenditure, and other relevant conditions. Patients made significant errors in carbohydrate counting (in 56% of cooked and 44% of noncooked meals), which resulted in inadequate insulin doses. Subsequently, a mobile application was programmed to provide individualized advice on prandial insulin dose. When using the application, a patient chooses only the type of categorized situation (e.g., meals with other relevant data) without carbohydrates counting. The application significantly improved postprandial glycemia as normoglycemia w</pubmed_abstract><journal>Nutrients</journal><pagination>E1148</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC6567095</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Comprehensive Analysis of the Real Lifestyles of T1D Patients for the Purpose of Designing a Personalized Counselor for Prandial Insulin Dosing.</pubmed_title><pmcid>PMC6567095</pmcid><pubmed_authors>Stechova K</pubmed_authors><pubmed_authors>Pithova P</pubmed_authors><pubmed_authors>Lhotska L</pubmed_authors><pubmed_authors>Cikl P</pubmed_authors><pubmed_authors>Hlubik J</pubmed_authors></additional><is_claimable>false</is_claimable><name>Comprehensive Analysis of the Real Lifestyles of T1D Patients for the Purpose of Designing a Personalized Counselor for Prandial Insulin Dosing.</name><description>Post-prandial hyperglycemia is still a challenging issue in intensified insulin therapy. Data of 35 T1D patients during a four-week period were analyzed: RT-CGM (real time continuous glucose monitoring) record, insulin doses, diet (including meal photos), energy expenditure, and other relevant conditions. Patients made significant errors in carbohydrate counting (in 56% of cooked and 44% of noncooked meals), which resulted in inadequate insulin doses. Subsequently, a mobile application was programmed to provide individualized advice on prandial insulin dose. When using the application, a patient chooses only the type of categorized situation (e.g., meals with other relevant data) without carbohydrates counting. The application significantly improved postprandial glycemia as normoglycemia w</description><dates><release>2019-01-01T00:00:00Z</release><publication>2019 May</publication><modification>2025-04-25T18:12:09.201Z</modification><creation>2019-07-24T07:18:03Z</creation></dates><accession>S-EPMC6567095</accession><cross_references><pubmed>31126048</pubmed><doi>10.3390/nu11051148</doi></cross_references></HashMap>