ObjectivesObesity is a known risk factor for type 2 diabetes (T2D). We conducted a case–control study to assess the association between body mass index (BMI) and the risk of being diagnosed with T2D in the United States.MethodsWe selected adults (≥ 18 years old) who were diagnosed with T2D (defined by ICD-9-CM diagnosis codes or use of anti-diabetic medications) between January 2004 and October 2011 (“cases”) from an electronic health records database provided by an integrated health system in the Middle Atlantic region. Twice as many individuals enrolled in the health system without a T2D diagnosis during the study period (“controls”) were selected based on age, sex, history of cardiac comorbidities or hyperinflammatory state (defined by C-reactive protein and erythrocyte sedimentation rate), and use of psychiatric or beta blocker medications. BMI was measured during one year prior to the first observed T2D diagnosis (for cases) or a randomly assigned date (for controls); individuals with no BMI measure or BMI < 18.5 kg/m2 were excluded. We assessed the impact of increased BMI (overweight: 25–29.9 kg/m2; Obesity Class I: 30–34.9 kg/m2; Obesity Class II: 35–39.9 kg/m2; Obesity Class III: ≥40 kg/m2), relative to normal BMI (18.5–24.9 kg/m2), on a T2D diagnosis using odds ratios (OR) and relative risks (RR) estimated from multiple logistic regression results.ResultsWe included 12,179 cases (mean age: 55, 43% male) and 25,177 controls (mean age: 56, 45% male). We found a positive association between BMI and the risk of a T2D diagnosis. The strength of this association increased with BMI category (RR [95% confidence interval]: overweight, 1.5 [1.4–1.6]; Obesity Class I, 2.5 [2.3–2.6]; Obesity Class II, 3.6 [3.4–3.8]; Obesity Class III, 5.1 [4.7–5.5]).ConclusionsBMI is strongly and independently associated with the risk of being diagnosed with T2D. The incremental association of BMI category on the risk of T2D is stronger for people with a higher BMI relative to people with a lower BMI.

IntroductionAdherence to diabetes medication has been linked to improved glycemic levels and lower costs, but previous research on adherence has typically involved oral antidiabetic medication or insulin. This study examines how adherence and persistence to once-daily liraglutide impact glycemic control and economic outcomes in a real-world population of adult type 2 diabetes (T2D) patients.MethodsA retrospective cohort study using administrative claims data from July 2009 through September 2013. Patients aged ≥18 years with T2D treated with liraglutide were identified (index date = first liraglutide prescription). Adherence was based on the proportion of days covered (PDC); with PDC ≥0.80 classified as adherent. Non-persistent patients were those with a gap in therapy of >90 days. Lab results for glycated hemoglobin (A1C) were used to identify whether patients achieved target levels of <7.0% and ≤ 6.5%, or experienced a reduction of ≥1.0% in A1C from pre-index (baseline) to post-index (follow-up). Logistic regression was used to estimate the likelihood of achieving the A1C goals, adjusted for baseline characteristics. Diabetes-related medical, pharmacy, and total costs were modeled and estimated for the adherence and persistence cohorts.ResultsA total of 1321 patients were identified. The mean PDC was 0.59 and 34% of patients were classified as adherent, while 60% were persistent over 12 months of follow-up. Adherent and persistent patients were more likely to achieve each of the A1C goals than their non-adherent and non-persistent counterparts after adjusting for patient characteristics. Adherence and persistence were associated with higher adjusted diabetes-related pharmacy and total healthcare costs during follow-up; whereas persistent patients had significantly lower diabetes-related medical costs than non-persistent patients.ConclusionsAdherence and persistence to liraglutide are associated with improved A1C outcomes. Persistent patients showed significantly lower medical costs versus those discontinuing liraglutide. Total healthcare costs were higher for adherent and persistent cohorts driven by higher pharmacy costs.Electronic supplementary materialThe online version of this article (doi:10.1007/s12325-015-0199-z) contains supplementary material, which is available to authorized users.

IntroductionClinical 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.MethodsThis was a retrospective cohort study using the General Electric Centricity electronic medical records database. Adult patients with T2D (≥18 years and BMI≥ 25 kg/m2) 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.ResultsAfter 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/m2 (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.ConclusionPatients 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.Electronic supplementary materialThe online version of this article (doi:10.1007/s12325-014-0153-5) contains supplementary material, which is available to authorized users.

BACKGROUND: Effective glycemic control can reduce the risk of serious micro-and macrovascular complications in type 2 diabetes. However, many patients fail to reach glycemic targets due partly to low efficacy and adverse effects of treatment such as hypoglycemia or weight gain.

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