Literature DB >> 30224284

Successful treatment of prediabetes in clinical practice using physiological assessment (STOP DIABETES).

John P Armato1, Ralph A DeFronzo2, Muhammad Abdul-Ghani2, Ron J Ruby3.   

Abstract

BACKGROUND: Of the 84 million American adults with prediabetes, over 5 to 7 years, about 28 million progress to type 2 diabetes. We aimed to assess whether a real-world, pathophysiology-based, therapeutic approach could prevent development of type 2 diabetes in high-risk individuals.
METHODS: We did a retrospective observational study of people at increased risk of type 2 diabetes from a community practice in southern California, USA. Participants had an oral glucose tolerance test and were assigned a risk stratification on the basis of presence and severity of insulin resistance, impaired β-cell function, and glycaemia (ie, 1-h plasma glucose concentration of more than 8·6 mmol/L during an oral glucose tolerance test). Treatment was recommended on the basis of risk: metformin, pioglitazone, glucagon-like peptide-1 (GLP-1) receptor agonist, and lifestyle therapy for participants at high risk of diabetes, and metformin, pioglitazone, and lifestyle therapy for those at intermediate risk. Individuals who refused pharmacological therapy were assigned to lifestyle therapy only. Participants were followed up every 6 months and oral glucose tolerance tests were repeated at 6 months and subsequently every 2 years or sooner. The primary outcome of our analysis was incidence of type 2 diabetes according to the American Diabetes Association criteria, within the study period (2009-16). This study is registered with ClinicalTrials.gov, number NCT03308773.
FINDINGS: Between Jan 1, 2009 and Dec 31, 2016, we assessed 1769 people at increased risk of diabetes, of which 747 (42%) were identified at high or intermediate risk and were recommended pharmacological treatment. Of 422 participants analysed, 28 (7%) progressed to type 2 diabetes (seven [5%] of 141 participants who received metformin, pioglitazone, and lifestyle therapy, none [0%] of 81 who received metformin, pioglitazone, GLP-1 receptor agonist, and lifestyle therapy, and 21 [11%] of 200 who received lifestyle therapy only) after mean follow-up of 32·09 months (SEM 1·24). Compared with participants who received lifestyle therapy only, the adjusted hazard ratio for progression to type 2 diabetes was 0·29 (95% CI 0·11-0·78, p=0·0009) in participants who received metformin and pioglitazone, and 0·12 (95% CI 0·02-0·94, p=0·04) in participants who received metformin, pioglitazone, and GLP-1 receptor agonist. Improved β-cell function was the strongest predictor of type 2 diabetes prevention.
INTERPRETATION: Progression to type 2 diabetes in people at high risk of diabetes can be markedly reduced with interventions designed to correct underlying pathophysiological disturbances (ie, impaired insulin secretion and resistance) in a real-world setting. FUNDING: None.
Copyright © 2018 Elsevier Ltd. All rights reserved.

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Year:  2018        PMID: 30224284     DOI: 10.1016/S2213-8587(18)30234-1

Source DB:  PubMed          Journal:  Lancet Diabetes Endocrinol        ISSN: 2213-8587            Impact factor:   32.069


  10 in total

1.  Therapeutic strategies for type 2 diabetes mellitus patients with very high HbA1c: is insulin the only option?

Authors:  Muhammad Abdul-Ghani; Ralph DeFronzo
Journal:  Ann Transl Med       Date:  2018-12

2.  Clinical utility of 30-min plasma glucose for prediction of type 2 diabetes among people with prediabetes: Ancillary analysis of the diabetes community lifestyle improvement program.

Authors:  Ram Jagannathan; Mary Beth Weber; Ranjit M Anjana; Harish Ranjani; Lisa R Staimez; Mohammed K Ali; Viswanathan Mohan; K M Venkat Narayan
Journal:  Diabetes Res Clin Pract       Date:  2020-02-11       Impact factor: 5.602

3.  Animal based low carbohydrate diet is associated with increased risk of type 2 diabetes in Tehranian adults.

Authors:  Sohrab Sali; Hossein Farhadnejad; Golaleh Asghari; Farshad Teymoori; Parvin Mirmiran; Abolghassem Djazayeri; Fereidoun Azizi
Journal:  Diabetol Metab Syndr       Date:  2020-10-07       Impact factor: 3.320

Review 4.  Benefit of lifestyle-based T2DM prevention is influenced by prediabetes phenotype.

Authors:  Matthew D Campbell; Thirunavukkarasu Sathish; Paul Z Zimmet; Kavumpurathu R Thankappan; Brian Oldenburg; David R Owens; Jonathan E Shaw; Robyn J Tapp
Journal:  Nat Rev Endocrinol       Date:  2020-02-14       Impact factor: 43.330

Review 5.  How do we identify people at high risk of Type 2 diabetes and help prevent the condition from developing?

Authors:  J Fagg; J Valabhji
Journal:  Diabet Med       Date:  2018-12-28       Impact factor: 4.359

6.  Effect of linagliptin on glucose metabolism and pancreatic beta cell function in patients with persistent prediabetes after metformin and lifestyle.

Authors:  Mildred Fátima de la Luz Alvarez-Canales; Sara Stephania Salazar-López; Diana Farfán-Vázquez; Yosceline Estrella Martínez-López; Jessica Noemí González-Mena; Lilia Marisela Jiménez-Ceja; Katya Vargas-Ortiz; María Lola Evia-Viscarra; María Luisa Montes de Oca-Loyola; Franco Folli; Alberto Aguilar-García; Rodolfo Guardado-Mendoza
Journal:  Sci Rep       Date:  2021-04-22       Impact factor: 4.379

7.  Dietary carbohydrate and the risk of type 2 diabetes: an updated systematic review and dose-response meta-analysis of prospective cohort studies.

Authors:  Fatemeh Hosseini; Ahmad Jayedi; Tauseef Ahmad Khan; Sakineh Shab-Bidar
Journal:  Sci Rep       Date:  2022-02-15       Impact factor: 4.379

8.  Long-term remission of type 2 diabetes after very-low-calorie restriction and related predictors.

Authors:  Jie Wei; Jie Chen; Xiao Wei; Xiaoduo Xiang; Qing Cheng; Jiechao Xu; Shuhang Xu; Guofang Chen; Chao Liu
Journal:  Front Endocrinol (Lausanne)       Date:  2022-09-12       Impact factor: 6.055

Review 9.  The Oral Glucose Tolerance Test: 100 Years Later.

Authors:  Ram Jagannathan; João Sérgio Neves; Brenda Dorcely; Stephanie T Chung; Kosuke Tamura; Mary Rhee; Michael Bergman
Journal:  Diabetes Metab Syndr Obes       Date:  2020-10-19       Impact factor: 3.168

10.  Effect of prediabetes on the long-term all-cause mortality of patients undergoing percutaneous coronary intervention: A protocol for systematic review and meta analysis.

Authors:  Rui Shi; Kai-Yue Diao; Ke Shi; Yue Gao; Shan Huang; Ying-Kun Guo; Zhi-Gang Yang
Journal:  Medicine (Baltimore)       Date:  2020-08-14       Impact factor: 1.817

  10 in total

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