| Literature DB >> 21738898 |
Soon Ae Kim1, Woo Ho Shim, Eun Hae Lee, Young Mi Lee, Sun Hee Beom, Eun Sook Kim, Jeong Seon Yoo, Ji Sun Nam, Min Ho Cho, Jong Suk Park, Chul Woo Ahn, Kyung Rae Kim.
Abstract
BACKGROUND: Sitagliptin is a highly selective dipeptidyl peptide-4 (DPP-4) inhibitor that increases blood levels of active glucagon-like peptide (GLP)-1 and glucose-dependent insulinotrophic polypeptide (GIP), resulting in increased insulin secretion. While studies conducted in other countries have indicated the efficacy and safety of using sitagliptin to treat type 2 diabetes mellitus (T2DM), its predictors of effects to sitagliptin are not well understood. Therefore, we evaluated the predictive clinical parameters for the therapeutic benefits of sitagliptin when added to an ongoing metformin or sulfonylurea therapy in Korean T2DM subjects.Entities:
Keywords: Diabetes mellitus, type 2; Dipeptidyl peptide-4 inhibitor; Sitagliptin
Year: 2011 PMID: 21738898 PMCID: PMC3122893 DOI: 10.4093/dmj.2011.35.2.159
Source DB: PubMed Journal: Diabetes Metab J ISSN: 2233-6079 Impact factor: 5.376
Baseline characteristics of study subjects treated with sitagliptin
Data are presented as number or mean±standard deviation.
DM, diabetes mellitus; M, metformin; S, sulfonylurea; SBP, systolic blood pressure; DBP, diastolic blood pressure; BMI, body mass index; FPG, fasting plasma glucose; PP2, post prandial 2 hour blood glucose; AST, aspartate amino transferase; ALT, amino alanine transferase; TC, total cholesterol; HDL-C, high density lipoprotein cholesterol; LDL-C, low density lipoprotein cholesterol.
Fig. 1Changes in HbA1c and FPG with sitagliptin treatment. The black bar indicates the response group and gray bar indicates the non-response group. Bars represent mean+standard deviation. aP<0.05.
Characteristics of responders and non-responders to sitagliptin (n=251)
Data are presented as number or mean±standard deviation.
DM, diabetes mellitus; BMI, body mass index; FPG, fasting plasma glucose; HOMA-β, homeostasis model assessment of β-cell function; HOMA-IR, homeostasis model assessment of insulin resistance.
Logistic regression analysis for predictive parameters of clinical efficacy of sitagliptin as dependent variables and its components as independent variables
Adjusted for age, sex, BMI, HbA1c.
OR, odds ratio; CI, confidence interval; DM, diabetes mellitus; BMI, body mass index; HOMA-β, homeostasis model assessment of β-cell function.
Fig. 2Changes of HbA1c (ΔHbA1c) according to the Age (A), T2DM duration (B), body mass index (BMI) (C), homeostasis model assessment of beta cell function (HOMA-b) (D). All panels, data are presented as mean±standard error of mean. aP<0.05.