Dataset Information

Clinical effectiveness of liraglutide across body mass index in patients with type 2 diabetes in the United States: a retrospective cohort study.

ABSTRACT:

Introduction

Clinical trials have shown that liraglutide effectively lowers glycated hemoglobin A1c (A1C) levels in adult patients with type 2 diabetes (T2D). However, no studies have evaluated the effectiveness of liraglutide by body mass index (BMI) in the United States (US) in clinical practice. This study examined liraglutide's clinical effectiveness to lower A1C and body weight after 6 months in T2D patients stratified by baseline BMI.

Methods

This was a retrospective cohort study using the General Electric Centricity electronic medical records database. Adult patients with T2D (≥18 years and BMI≥ 25 kg/m(2)) and A1C >7% at baseline who started liraglutide between January 1, 2010 and January 31, 2013 and who did not use insulin or a glucagon-like peptide-1 analog 12 months before initiating liraglutide (N = 3,005) were selected. Changes from baseline, stratified by BMI, in A1C, body weight, A1C <7% goal attainment, and incidence of severe hypoglycemia at 6-month follow-up were examined.

Results

After 6 months, A1C levels decreased on average by 0.95%, 1.02%, 0.99%, and 0.84% for BMI categories 25.0-29.9 (n = 333), 30.0-34.9 (n = 793), 35.0-39.9 (n = 821), and ≥40.0 kg/m(2) (n = 1,058), respectively (P = 0.30). The proportions of patients achieving A1C <7% at 6 months were 38.2%, 37.0%, 40.9%, and 41.0% (P = 0.54). The absolute body weight decreased by 1.5 to 4.0 kg across BMI and the rate of severe hypoglycemia (0.2%) was low.

Conclusion

Patients with T2D experienced statistically significant decreases in A1C and body weight after initiating liraglutide regardless of their BMI. Liraglutide reduced A1C equally well across baseline BMI in clinical practice in the US.

SUBMITTER: Chitnis AS

PROVIDER: S-EPMC4176953 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:BackgroundPregestational excessive body mass index (BMI) is linked to an increased risk for gestational diabetes mellitus (GDM), but less is known on the effect of adolescent BMI on GDM occurrence. The study aimed to investigate possible associations of adolescent BMI and changes in BMI experienced before first pregnancy, with gestational diabetes risk.MethodsThis retrospective study was based on linkage of a military screening database of adolescent health status (Israel Defence Forces) including measured height and weight, with medical records (Maccabi Healthcare Services, MHS) of a state-mandated health provider. The latter covers about 25% of the Israeli population; about 90% of pregnant women undergo screening by the two-step Carpenter-Coustan method. Adolescent BMI was categorized according to Center of Disease Control and Prevention percentiles. Only first documented pregnanies were analyzed and GDM was the outcome.FindingsOf 190,905 nulliparous women, 10,265 (5.4%) developed GDM. Incidence proportions of GDM were 5.1%, 6.1%, 7.3%, and 8.9% among women with adolescent normal BMI, underweight, overweight, and obesity (p<0.001), respectively. In models that accounted for age at pregnancy, birth year, and sociodemographic variables, the adjusted odd ratios (aORs) for developing GDM were: 1.2 (95%CI, 1.1-1.3), 1.5 (1.4-1.6), and 1.9 (1.7-2.1) for adolescent underweight, overweight, and obesity (reference group, normal BMI). Adolescent BMI tracked with BMI notes in the pre-pregnancy period (r=63%). Resuming normal pre-pregnancy BMI from overweight or obesity in adolescence diminished GDM risk, but this diminished risk was not observed among those who returned to a normal per-pre-pregnancy BMI from being underweight in adolescence. Sustained overweight or obesity conferred an aOR for developing GDM of 2.5 (2.2-2.7); weight gain from adolescent underweight and normal BMI to pre-pregnancy excessive BMI conferred aORs of 3.1 (1.6-6.2) and 2.6 (2.2-2.7), respectively.InterpretationChange in BMI status from adolescence to pre-pregnancy may contribute to GDM risk. Identifying at-risk populations is important for early preventive interventions.FundingNone.