Literature DB >> 26926755

Topiramate-Associated Weight Loss in a Veteran Population.

Rashid Kazerooni1, Jane Lim1.   

Abstract

OBJECTIVE: This study aims to see whether patients in a real-world setting taking topiramate for varied indications experience significant weight loss.
METHODS: This was a retrospective cohort study from the Veterans Affairs San Diego Healthcare System. Patients were new topiramate users between January 1, 2000 and December 31, 2013 with body mass index > 25 kg/m(2) and medication possession ratio > 0.5. Primary outcome determined if topiramate users experienced significant changes in weight and body mass index. Secondary outcome analyzed predictive factors associated with 5% weight loss using logistic regression models. Patients were followed up 1 year post index date.
RESULTS: A total of 767 patients were included in the final analysis. Patients lost an average of 5.6 lbs (216.1 lbs preweight vs. 210.5 lbs postweight) at an average follow-up of 7.8 months. A total of 43.2% (92/213) of females lost 5% of their body weight compared to 29.4% (163/554) of males. Females (odds ratio 1.73; 95% confidence interval 1.21-2.48; p = 0.003), topiramate indication other than headache, and adherent patients (odds ratio 1.78; 95% confidence interval 1.28-2.49; p = 0.001) were more likely to lose 5% of body weight.
CONCLUSION: Topiramate should be considered with higher priority in overweight and obese patients for nonweight loss indications for dual benefit. Reprint &
Copyright © 2016 Association of Military Surgeons of the U.S.

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Year:  2016        PMID: 26926755     DOI: 10.7205/MILMED-D-14-00636

Source DB:  PubMed          Journal:  Mil Med        ISSN: 0026-4075            Impact factor:   1.437


  3 in total

Review 1.  Controversial issues: A practical guide to the use of weight loss medications after bariatric surgery for weight regain or inadequate weight loss.

Authors:  Fatima Cody Stanford
Journal:  Surg Obes Relat Dis       Date:  2018-10-30       Impact factor: 4.734

2.  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

Review 3.  Precision medicine in adult and pediatric obesity: a clinical perspective.

Authors:  Eric M Bomberg; Justin R Ryder; Richard C Brundage; Robert J Straka; Claudia K Fox; Amy C Gross; Megan M Oberle; Carolyn T Bramante; Shalamar D Sibley; Aaron S Kelly
Journal:  Ther Adv Endocrinol Metab       Date:  2019-07-27       Impact factor: 3.565

  3 in total

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