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ABSTRACT: Background
We assessed the predictive accuracy of an empirically-derived score (weight loss, insulin resistance, and glycemic control: "WIG") to predict patients who will be successful in reducing diabetes mellitus (DM) medication use with weight loss.Methods
Case records of 121 overweight and obese patients with DM at two outpatient weight management centers were analyzed.Results
Mean period of follow-up was 12.5 ± 3.5 months. To derive the "WIG" scoring algorithm, one point each was assigned to "W" (loss of 5% of initial body weight within the first 3 months of attempting weight loss), "I" (triglyceride [TGL]/highdensity lipoprotein ratio >3 [marker of insulin resistance] at baseline), and "G" (glycosylated hemoglobin [A1c%] >8.5 at baseline). WIG score showed moderate accuracy in discriminating anti-DM dose reductions at baseline, and after 3 months of weight loss efforts (likelihood ratios [LR] + >1, LR- <1, and area under the curve >0.7), and demonstrated good reproducibility.Conclusions
WIG score shows promise as a tool to predict success with dose reductions of antidiabetes medications.
SUBMITTER: Shantha GP
PROVIDER: S-EPMC6140282 | biostudies-literature | 2016 Jun
REPOSITORIES: biostudies-literature
Shantha Ghanshyam Palamaner Subash GP Kumar Anita Ashok AA Ravi Vimal V Khanna Rohit C RC Kahan Scott S Cheskin Lawrence J LJ
Biomedical journal 20160601 3
<h4>Background</h4>We assessed the predictive accuracy of an empirically-derived score (weight loss, insulin resistance, and glycemic control: "WIG") to predict patients who will be successful in reducing diabetes mellitus (DM) medication use with weight loss.<h4>Methods</h4>Case records of 121 overweight and obese patients with DM at two outpatient weight management centers were analyzed.<h4>Results</h4>Mean period of follow-up was 12.5 ± 3.5 months. To derive the "WIG" scoring algorithm, one p ...[more]