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Efficacy and safety of carbohydrate counting versus other forms of dietary advice in patients with type 1 diabetes mellitus: a systematic review and meta-analysis of randomised clinical trials / Carlos Esteban Builes Montaño ; Natalia Andrea Ortíz Cano ; Natalia Andrea Rojas Henao
Título : Efficacy and safety of carbohydrate counting versus other forms of dietary advice in patients with type 1 diabetes mellitus: a systematic review and meta-analysis of randomised clinical trials Tipo de documento : documento electrónico Autores : Carlos Esteban Builes Montaño, Autor asociado al HPTU ; Natalia Andrea Ortíz Cano, Autor asociado al HPTU ; Natalia Andrea Rojas Henao, Autor asociado al HPTU Fecha de publicación : 2022 Títulos uniformes : Journal of Human Nutrition and Dietetics Idioma : Inglés (eng) Palabras clave : carbohydrate counting diabetes mellitus diet therapy dietary carbohydrates glycated haemoglobin A Resumen : Background and aims: Diabetes mellitus (DM) is one of the most prevalent chronic noncommunicable diseases globally, and the only way to reduce its complications is good glycaemic control. Insulin remains the only approved treatment for type 1 DM (T1DM) and is used by many with type 2 DM (T2DM). Carbohydrate counting is considered the ideal way to calculate meal-related insulin doses as it allows greater flexibility in diet and could, in some people, reduce the burden of the disease. The primary objective of this systematic review was to assess carbohydrate counting efficacy in reducing glycated haemoglobin (HbA1c) levels and safety by not increasing hypoglycaemia risk, inducing an increase in body weight or blood lipids, or reducing the quality of life of people with T1DM. Methods: We included randomised controlled clinical trials with a parallel-group design comparing any carbohydrate counting forms with standard care or other forms of dietary advice or insulin dose calculation in people with T1DM with a follow up period of at least 3 months and with no restrictions in language, age or settings. As a primary outcome, we consider the change of HbA1c levels within at least 3 months. Secondary outcomes were hypoglycaemia events, body weight changes, blood lipids levels, and the total daily insulin dose. We also evaluated health-related quality-of-life changes and questionnaires on satisfaction with treatment of diabetes. Results: Data from 11 studies with 899 patients were retrieved with a mean follow-up of 52 ± 35.5 weeks. Carbohydrate counting is not better in reducing HbA1clevels (SMD-0.24%, 95% CI −0.68 to 0.21) than all dietary advice forms. However, this finding was highly heterogeneous. We identified three studies that account for most of the heterogeneity using clustering algorithms. A second analysis excluding these studies shows a meaningful reduction in HbA1c levels (SMD-0.52%, 95% CI −0.82 to −0.23) with low heterogeneity. In the subgroup analysis, carbohydrate counting significantly reduces HbA1c levels compared with usual diabetes education. Carbohydrate counting does not relate to any substantial change in blood lipids, body weight, hypoglycaemia risk or daily insulin dose. Finally, we analysed the effect of trial duration on reduction in HbA1c levels and found no significant change related to time. Conclusions: Carbohydrate counting is an efficacious technique to safely reduce the levels of HbA1c in adults and children compared with standard diabetes education, and its effect does not appear to change with prolonged time. Standardisation in reporting important outcomes such as hypoglycaemia and quality of life are vital to produce comparable evidence in carbohydrate counting clinical trials. This systematic review was registered in PROSPERO under code: CRD42020218499. Mención de responsabilidad : Carlos E. Builes-Montaño, Natalia A. Ortiz-Cano, Alex Ramirez-Rincón, Natalia A. Rojas-Henao Referencia : J Hum Nutr Diet. 2022 Dec;35(6):1030-1042. DOI (Digital Object Identifier) : 10.1111/jhn.13017 PMID : 35436364 En línea : https://onlinelibrary.wiley.com/doi/10.1111/jhn.13017 Enlace permanente : https://hospitalpablotobon.cloudbiteca.com/pmb/opac_css/index.php?lvl=notice_dis Efficacy and safety of carbohydrate counting versus other forms of dietary advice in patients with type 1 diabetes mellitus: a systematic review and meta-analysis of randomised clinical trials [documento electrónico] / Carlos Esteban Builes Montaño, Autor asociado al HPTU ; Natalia Andrea Ortíz Cano, Autor asociado al HPTU ; Natalia Andrea Rojas Henao, Autor asociado al HPTU . - 2022.
Obra : Journal of Human Nutrition and Dietetics
Idioma : Inglés (eng)
Palabras clave : carbohydrate counting diabetes mellitus diet therapy dietary carbohydrates glycated haemoglobin A Resumen : Background and aims: Diabetes mellitus (DM) is one of the most prevalent chronic noncommunicable diseases globally, and the only way to reduce its complications is good glycaemic control. Insulin remains the only approved treatment for type 1 DM (T1DM) and is used by many with type 2 DM (T2DM). Carbohydrate counting is considered the ideal way to calculate meal-related insulin doses as it allows greater flexibility in diet and could, in some people, reduce the burden of the disease. The primary objective of this systematic review was to assess carbohydrate counting efficacy in reducing glycated haemoglobin (HbA1c) levels and safety by not increasing hypoglycaemia risk, inducing an increase in body weight or blood lipids, or reducing the quality of life of people with T1DM. Methods: We included randomised controlled clinical trials with a parallel-group design comparing any carbohydrate counting forms with standard care or other forms of dietary advice or insulin dose calculation in people with T1DM with a follow up period of at least 3 months and with no restrictions in language, age or settings. As a primary outcome, we consider the change of HbA1c levels within at least 3 months. Secondary outcomes were hypoglycaemia events, body weight changes, blood lipids levels, and the total daily insulin dose. We also evaluated health-related quality-of-life changes and questionnaires on satisfaction with treatment of diabetes. Results: Data from 11 studies with 899 patients were retrieved with a mean follow-up of 52 ± 35.5 weeks. Carbohydrate counting is not better in reducing HbA1clevels (SMD-0.24%, 95% CI −0.68 to 0.21) than all dietary advice forms. However, this finding was highly heterogeneous. We identified three studies that account for most of the heterogeneity using clustering algorithms. A second analysis excluding these studies shows a meaningful reduction in HbA1c levels (SMD-0.52%, 95% CI −0.82 to −0.23) with low heterogeneity. In the subgroup analysis, carbohydrate counting significantly reduces HbA1c levels compared with usual diabetes education. Carbohydrate counting does not relate to any substantial change in blood lipids, body weight, hypoglycaemia risk or daily insulin dose. Finally, we analysed the effect of trial duration on reduction in HbA1c levels and found no significant change related to time. Conclusions: Carbohydrate counting is an efficacious technique to safely reduce the levels of HbA1c in adults and children compared with standard diabetes education, and its effect does not appear to change with prolonged time. Standardisation in reporting important outcomes such as hypoglycaemia and quality of life are vital to produce comparable evidence in carbohydrate counting clinical trials. This systematic review was registered in PROSPERO under code: CRD42020218499. Mención de responsabilidad : Carlos E. Builes-Montaño, Natalia A. Ortiz-Cano, Alex Ramirez-Rincón, Natalia A. Rojas-Henao Referencia : J Hum Nutr Diet. 2022 Dec;35(6):1030-1042. DOI (Digital Object Identifier) : 10.1111/jhn.13017 PMID : 35436364 En línea : https://onlinelibrary.wiley.com/doi/10.1111/jhn.13017 Enlace permanente : https://hospitalpablotobon.cloudbiteca.com/pmb/opac_css/index.php?lvl=notice_dis Reserva
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Código de barras Número de Ubicación Tipo de medio Ubicación Sección Estado DD001867 AC-2022-032 Archivo digital Producción Científica Artículos científicos Disponible STUDIA: An application to support carbohydrate counting by simulating glucose dynamics / Carlos Esteban Builes Montaño
Título : STUDIA: An application to support carbohydrate counting by simulating glucose dynamics Otros títulos : STUDIA: una aplicación para apoyar el conteo de carbohidratos simulando la dinámica de la glucosa Tipo de documento : documento electrónico Autores : Carlos Esteban Builes Montaño, Autor asociado al HPTU Fecha de publicación : 2022 Títulos uniformes : Revista Colombiana de Endocrinología Diabetes y Metabolismo Idioma : Inglés (eng) Palabras clave : mathematical model diabetes mellitus mobile applications computer simulation carbohydrate counting Resumen : Background: Carbohydrate counting is often considered the ideal way to calculate meal-related insulin doses. Several ways to improve carbohydrate counting have been proposed. Purpose: We propose that carbohydrate counting can be refined via simulation and, as such, we present a mobile application for the real-time simulation of postprandial glucose dynamics: STUDIA. Methods: We used a phenomenological model of the gastrointestinal tract, coupled with the minimal glucose model to recreate postprandial glucose challenges in people with type 1 diabetes (T1DM). A requirements gathering process was implemented to define the application's functionalities and technical requirements. In addition, a person-based approach was used to characterize the users. Technological stacks were evaluated under the UX/UI criteria, learning curve, flexibility, and the possibility of executing mathematical models with a resolution of differential equations. We used data from one patient with T1DM to guide users in how to use the app. Continuous glucose monitor readings were used for comparison. Results: STUDIA is a mobile app built on Android Studio® with a user interface and a web-based administrative module connected to AWS®. The app, allows glucose simulations for day-to-day carbohydrate counting refinement, and patient parameter modification based on previous glucose readings and data analysis for comparison and clinical research. Conclusions: We present the first-of-a-kind postprandial simulation app based on a phenomenological model of the GI tract for patients with T1DM and its subsequent clinical research use. STUDIA will be tested in silico with data from multiple meals from patients with T1DM, and in a clinical trial. Mención de responsabilidad : Carlos E. Builes-Montaño, Laura Lema-Pérez, Luis E. Monsalve-Arango, Miguel A. Naranjo-Cano, Carlos M. Sierra Duque, José F. García-Tirado, Hernán Darío Alvarez Zapata DOI (Digital Object Identifier) : 10.53853/encr.9.4.770 Derechos de uso : CC BY-NC-ND En línea : https://revistaendocrino.org/index.php/rcedm/article/view/770 Enlace permanente : https://hospitalpablotobon.cloudbiteca.com/pmb/opac_css/index.php?lvl=notice_dis STUDIA: An application to support carbohydrate counting by simulating glucose dynamics = STUDIA: una aplicación para apoyar el conteo de carbohidratos simulando la dinámica de la glucosa [documento electrónico] / Carlos Esteban Builes Montaño, Autor asociado al HPTU . - 2022.
Obra : Revista Colombiana de Endocrinología Diabetes y Metabolismo
Idioma : Inglés (eng)
Palabras clave : mathematical model diabetes mellitus mobile applications computer simulation carbohydrate counting Resumen : Background: Carbohydrate counting is often considered the ideal way to calculate meal-related insulin doses. Several ways to improve carbohydrate counting have been proposed. Purpose: We propose that carbohydrate counting can be refined via simulation and, as such, we present a mobile application for the real-time simulation of postprandial glucose dynamics: STUDIA. Methods: We used a phenomenological model of the gastrointestinal tract, coupled with the minimal glucose model to recreate postprandial glucose challenges in people with type 1 diabetes (T1DM). A requirements gathering process was implemented to define the application's functionalities and technical requirements. In addition, a person-based approach was used to characterize the users. Technological stacks were evaluated under the UX/UI criteria, learning curve, flexibility, and the possibility of executing mathematical models with a resolution of differential equations. We used data from one patient with T1DM to guide users in how to use the app. Continuous glucose monitor readings were used for comparison. Results: STUDIA is a mobile app built on Android Studio® with a user interface and a web-based administrative module connected to AWS®. The app, allows glucose simulations for day-to-day carbohydrate counting refinement, and patient parameter modification based on previous glucose readings and data analysis for comparison and clinical research. Conclusions: We present the first-of-a-kind postprandial simulation app based on a phenomenological model of the GI tract for patients with T1DM and its subsequent clinical research use. STUDIA will be tested in silico with data from multiple meals from patients with T1DM, and in a clinical trial. Mención de responsabilidad : Carlos E. Builes-Montaño, Laura Lema-Pérez, Luis E. Monsalve-Arango, Miguel A. Naranjo-Cano, Carlos M. Sierra Duque, José F. García-Tirado, Hernán Darío Alvarez Zapata DOI (Digital Object Identifier) : 10.53853/encr.9.4.770 Derechos de uso : CC BY-NC-ND En línea : https://revistaendocrino.org/index.php/rcedm/article/view/770 Enlace permanente : https://hospitalpablotobon.cloudbiteca.com/pmb/opac_css/index.php?lvl=notice_dis Reserva
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Código de barras Número de Ubicación Tipo de medio Ubicación Sección Estado DD001918 AC-2022-082 Archivo digital Producción Científica Artículos científicos Disponible Documentos electrónicos
AC-2022-082Adobe Acrobat PDF