Literature DB >> 20923485

Benefits of self-monitoring blood glucose in the management of new-onset Type 2 diabetes mellitus: the St Carlos Study, a prospective randomized clinic-based interventional study with parallel groups.

Alejandra Durán1, Patricia Martín, Isabelle Runkle, Natalia Pérez, Rosario Abad, Mercedes Fernández, Laura Del Valle, Maria Fuencisla Sanz, Alfonso Luis Calle-Pascual.   

Abstract

BACKGROUND: Intensive treatment of patients with Type 2 diabetes mellitus (T2DM) from the moment of diagnosis facilitates β-cell recovery. Self-monitoring of blood glucose (SMBG)-based educational and pharmacological intervention may be better than conventional HbA1c algorithms in the treatment of newly diagnosed T2DM.
METHODS: Newly diagnosed T2DM patients were randomized to either an SMBG-based intervention or an HbA1c-based control group (n = 99 and 62, respectively) and were followed for 1 year.
RESULTS: Higher rates of diabetes regression (HbA1c < 6% on metformin alone) and remission (HbA1c between 6.0% and 6.4%) were achieved in the intervention compared with the control group (39% vs 5% (P < 0.001) and 37% vs 30% (P < 0.01), respectively). Furthermore, significantly greater reductions in median HbA1c (6.6% to 6.1%; P < 0.05) and body mass index (29.6-27.9 kg/m(2) ; P < 0.001) were seen in the intervention over the 1 year of therapy. The percentage of patients achieving a lifestyle score >12 was significantly greater in the SMBG compared with the control group (38.4% vs 9.7% respectively; P < 0.001). An inverse correlation was observed between SMBG and HbA1c levels (P < 0.04).
CONCLUSIONS: The results indicate that SMBG-based structured educational and pharmacological programs empower patients to achieve nutritional and physical activity goals, and encourage physicians and patients to use SMBG to optimize therapy. We believe that the concept of intensive treatment of T2DM patients should be modified; instead of referring to the type of treatment (insulin use), the term should reflect the intensity with which we work to reach glucose objectives.
© 2010 Ruijin Hospital, Shanghai Jiaotong University School of Medicine and Blackwell Publishing Asia Pty Ltd.

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Year:  2010        PMID: 20923485     DOI: 10.1111/j.1753-0407.2010.00081.x

Source DB:  PubMed          Journal:  J Diabetes        ISSN: 1753-0407            Impact factor:   4.006


  52 in total

1.  Association between sitagliptin adherence and self-monitoring of blood glucose.

Authors:  Somesh Nigam; Naunihal S Virdi; Mehmet Daskiran; Chris M Kozma; Andrew Paris; William M Dickson
Journal:  J Diabetes Sci Technol       Date:  2012-05-01

Review 2.  Assessing the analytical performance of systems for self-monitoring of blood glucose: concepts of performance evaluation and definition of metrological key terms.

Authors:  Oliver Schnell; Rolf Hinzmann; Bernd Kulzer; Guido Freckmann; Michael Erbach; Volker Lodwig; Lutz Heinemann
Journal:  J Diabetes Sci Technol       Date:  2013-11-01

3.  6(th) Annual Symposium on Self-Monitoring of Blood Glucose (SMBG) applications and beyond, April 25-27, 2013, Riga, Latvia.

Authors:  Aus Alzaid; Christof Schlaeger; Rolf Hinzmann
Journal:  Diabetes Technol Ther       Date:  2013-09-28       Impact factor: 6.118

4.  Association of self-monitoring of blood glucose use on glycated hemoglobin and weight in newly diagnosed, insulin-naïve adult patients with type 2 diabetes.

Authors:  Naunihal S Virdi; Patrick Lefebvre; Hélène Parisé; Mei Sheng Duh; Dominic Pilon; François Laliberté; Devi Sundaresan; Lawrence Garber; Riad Dirani
Journal:  J Diabetes Sci Technol       Date:  2013-09-01

5.  Use of structured self-monitoring of blood glucose improves glycemic control in real-world clinical practice: findings from a multinational and retrospectively controlled trial.

Authors:  Nebojsa Lalić; Tsvetalina Tankova; Mallem Nourredine; Christopher Parkin; Ulrich Schweppe; Ildiko Amann-Zalan
Journal:  J Diabetes Sci Technol       Date:  2013-01-01

Review 6.  Structured SMBG in early management of T2DM: Contributions from the St Carlos study.

Authors:  Teresa Ruiz Gracia; Nuria García de la Torre Lobo; Alejandra Durán Rodríguez Hervada; Alfonso L Calle Pascual
Journal:  World J Diabetes       Date:  2014-08-15

7.  How Knowledge Emerges From Artificial Intelligence Algorithm and Data Visualization for Diabetes Management.

Authors:  Vincent Derozier; Sylvie Arnavielhe; Eric Renard; Gérard Dray; Sophie Martin
Journal:  J Diabetes Sci Technol       Date:  2019-05-21

8.  The Impact of Structured Self-Monitoring of Blood Glucose Combined With Intensive Education on HbA1c Levels, Hospitalizations, and Quality-of-Life Parameters in Insulin-Treated Patients With Diabetes at Primary Care in Serbia: The Multicenter SPA-EDU Study.

Authors:  Nebojša M Lalić; Katarina Lalić; Aleksandra Jotić; Dejan Stanojević; Dragana Živojinović; Andrija Janićijević; Christopher Parkin
Journal:  J Diabetes Sci Technol       Date:  2016-12-25

9.  Effects of Structured Versus Unstructured Self-Monitoring of Blood Glucose on Glucose Control in Patients With Non-insulin-treated Type 2 Diabetes: A Meta-Analysis of Randomized Controlled Trials.

Authors:  Edoardo Mannucci; Alessandro Antenore; Francesco Giorgino; Marina Scavini
Journal:  J Diabetes Sci Technol       Date:  2017-07-12

10.  Improving the Quality of Outpatient Diabetes Care Using an Information Management System: Results From the Observational VISION Study.

Authors:  Joerg Weissmann; Angelika Mueller; Diethelm Messinger; Christopher G Parkin; Ildiko Amann-Zalan
Journal:  J Diabetes Sci Technol       Date:  2015-07-29
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