A clinical score to predict dose reductions of antidiabetes medications with intentional weight loss: A retrospective cohort study

Ghanshyam Palamaner Subash Shantha, Anita Ashok Kumar, Vimal Ravi, Rohit C. Khanna, Scott Kahan, Lawrence J. Cheskin

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Pages (from-to)188-194
Number of pages7
JournalBiomedical Journal
Volume39
Issue number3
DOIs
StatePublished - 2016

Keywords

  • Clinical score
  • Diabetes mellitus
  • Insulin resistance
  • Obesity

ASJC Scopus subject areas

  • Medicine(all)

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