Literature DB >> 20878643

Glycemic and weight changes after persistent use of incident oral diabetes therapy: a Veterans Administration retrospective cohort study.

Mary Margaret Huizinga1, Christianne L Roumie, Robert A Greevy, Xulei Liu, Harvey J Murff, Adriana M Hung, Carlos G Grijalva, Marie R Griffin.   

Abstract

PURPOSE: Systematic reviews have reported that sulfonylureas and metformin were as effective in reducing hemoglobin A1c (A1C) as other oral antidiabetic drugs (OADs) in clinical trial populations. Data on comparative effectiveness of OADs in other populations is limited. The objective was to compare the effectiveness of incident OAD regimens in reducing A1C and to compare the effect of OADs on body mass index (BMI).
METHODS: Retrospective cohort study using data from the Veterans Affairs Mid-South network (2001-2007). Of 18 205 veterans who filled 19 511 incident OAD prescriptions, 2096 had complete covariates, persisted on their incident treatment for 12 months, and had baseline and 12-month A1C values. For the BMI analysis, 2484 patients had complete information. Incident OAD regimens included metformin and sulfonylureas. Primary outcomes were 12-month A1C and BMI, which were compared controlling for demographic characteristics, baseline A1C and BMI, psychiatric diagnoses, and healthcare utilization.
RESULTS: Median [interquartile range (IQR)] A1C decreased from 7.1% [6.5, 7.8] at baseline to 6.5% [6.0, 7.0] at 12 months. Twelve month-A1C in sulfonylurea users was similar to metformin users. The median [IQR] BMI decreased from 31.1 [27.8, 34.9] to 30.7 [27.5, 34.5] kg/m(2). Sulfonylureas were associated with a significantly higher 12-month BMI than metformin (12-month adjusted mean difference: 1.05 kg/m(2), 95%CI: 0.90-1.20, p < 0.0001).
CONCLUSIONS: These analyses support the use of metformin as first choice of OAD because of similar glycemic control but improved BMI when compared to sulfonylureas.
Copyright © 2010 John Wiley & Sons, Ltd.

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Year:  2010        PMID: 20878643     DOI: 10.1002/pds.2035

Source DB:  PubMed          Journal:  Pharmacoepidemiol Drug Saf        ISSN: 1053-8569            Impact factor:   2.890


  9 in total

1.  The role of matching when adjusting for baseline differences in the outcome variable of comparative effectiveness studies.

Authors:  Carlos G Grijalva; Christianne L Roumie; Harvey J Murff; Adriana M Hung; Cole Beck; Xulei Liu; Marie R Griffin; Robert A Greevy
Journal:  J Comp Eff Res       Date:  2015-08       Impact factor: 1.744

2.  Initiation of sulfonylureas versus metformin is associated with higher blood pressure at one year.

Authors:  Christianne L Roumie; Xulei Liu; Neesha N Choma; Robert A Greevy; Adriana M Hung; Carlos G Grijalva; Marie R Griffin
Journal:  Pharmacoepidemiol Drug Saf       Date:  2012-03-19       Impact factor: 2.890

3.  Kidney function decline in metformin versus sulfonylurea initiators: assessment of time-dependent contribution of weight, blood pressure, and glycemic control.

Authors:  Adriana M Hung; Christianne L Roumie; Robert A Greevy; Xulei Liu; Carlos G Grijalva; Harvey J Murff; Marie R Griffin
Journal:  Pharmacoepidemiol Drug Saf       Date:  2013-06       Impact factor: 2.890

4.  Comparative effectiveness of sulfonylurea and metformin monotherapy on cardiovascular events in type 2 diabetes mellitus: a cohort study.

Authors:  Christianne L Roumie; Adriana M Hung; Robert A Greevy; Carlos G Grijalva; Xulei Liu; Harvey J Murff; Tom A Elasy; Marie R Griffin
Journal:  Ann Intern Med       Date:  2012-11-06       Impact factor: 25.391

5.  HIV infection and glycemic response to newly initiated diabetic medical therapy.

Authors:  Jennifer H Han; Heidi M Crane; Scarlett L Bellamy; Ian Frank; Serena Cardillo; Gregory P Bisson
Journal:  AIDS       Date:  2012-10-23       Impact factor: 4.177

6.  Comparative effectiveness of incident oral antidiabetic drugs on kidney function.

Authors:  Adriana M Hung; Christianne L Roumie; Robert A Greevy; Xulei Liu; Carlos G Grijalva; Harvey J Murff; T Alp Ikizler; Marie R Griffin
Journal:  Kidney Int       Date:  2012-01-18       Impact factor: 10.612

7.  Deriving Weight From Big Data: Comparison of Body Weight Measurement-Cleaning Algorithms.

Authors:  Richard Evans; Jennifer Burns; Laura Damschroder; Ann Annis; Michelle B Freitag; Susan Raffa; Wyndy Wiitala
Journal:  JMIR Med Inform       Date:  2022-03-09

8.  Blood Pressure Control and the Association With Diabetes Mellitus Incidence: Results From SPRINT Randomized Trial.

Authors:  Christianne L Roumie; Adriana M Hung; Gregory B Russell; Jan Basile; Kathryn Evans Kreider; John Nord; Thomas M Ramsey; Anjay Rastogi; Mary Ellen Sweeney; Leonardo Tamariz; William J Kostis; Jonathan S Williams; Athena Zias; William C Cushman
Journal:  Hypertension       Date:  2019-12-23       Impact factor: 10.190

9.  Addition of sulphonylurea to metformin does not relevantly change body weight: a prospective observational cohort study (ZODIAC-39).

Authors:  Dennis Schrijnders; Raiza Wever; Nanne Kleefstra; Sebastiaan T Houweling; Kornelis J J van Hateren; Geertruida H de Bock; Henk J G Bilo; Klaas H Groenier; Gijs W D Landman
Journal:  Diabetes Obes Metab       Date:  2016-07-13       Impact factor: 6.577

  9 in total

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