Evaluate the Efficacy and Safety of Saxagliptin Added to Insulin Monotherapy or to Insulin Combined With Metformin in Chinese Subjects With Type 2 Diabetes Who Have Inadequate Glycaemic Control
NCT ID: NCT02104804
Last Updated: 2017-10-02
Study Results
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View full resultsBasic Information
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COMPLETED
PHASE3
953 participants
INTERVENTIONAL
2014-05-07
2016-02-26
Brief Summary
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Detailed Description
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Target Subject Population: Subjects aged ≥18 who have type 2 diabetes (HbA1c of ≥7.5% and ≤11.0% and FPG\<270 mg/dL (15 mmol/L)) on stable baseline therapy (insulin alone or insulin combined with metformin, with insulin at doses of ≥20 and ≤150 units per day total) for at least eight weeks at the time of screening. Insulin may be long-acting, intermediate-acting, or pre-mixed. 444 patients are planned to be randomized.
Investigational Product, Dosage and Mode of administration: Active treatment will comprise Saxagliptin 5 mg tablets once daily.
Comparator, Dosage and Mode of administration: Matching placebo tablets will be used as comparator.
Duration of Treatment: The study is divided to a single blind placebo lead in period of 8 weeks and a double-blind treatment phase of 24 weeks. Patients will be rescued based on high FPG values.
Statistical Methods: The analysis of the primary endpoint of change from baseline to week 24 of treatment in HbA1c will consist of an analysis of covariance (ANCOVA) model with treatment group and metformin use at enrolment as fixed effects and baseline HbA1c value as a covariate. The analysis will be performed on the Full analysis Set (FAS) consisting of randomised subjects who received at least 1 randomised investigational product dose and had at least 1 non-missing baseline and 1 post-baseline efficacy assessment. Within the framework of the ANCOVA model, point estimates and two-sided 95% confidence intervals (CI) for the mean change within each treatment group as well as for the difference in mean change between treatment groups will be calculated.
The Per Protocol (PP) analysis set is a subset of the full analysis set and will consist of subjects who do not deviate from the terms of the protocol which may affect the study outcome significantly as specified in the pre-defined protocol deviation list prior to unblinding the study. All decisions to exclude subjects from the primary data set will be made prior to the unblinding of the study. The primary efficacy endpoint of change from baseline in HbA1c, demographics, and baseline diabetes related characteristics and all secondary efficacy endpoints are to be analyzed using the PP Data Set. The analyses of PPG AUC, 120 minute PPG, FPG and mean total daily dose of insulin will also be done on the FAS and use a similar ANCOVA model as described above. Subjects achieving a therapeutic glycaemic response (A1C \<7%) will be analyzed using a Fisher's exact test and will include exact 95% confidence intervals. The FPG analyses will utilize the mean of the latest two FPG values prior to randomization as the baseline value. The endpoint for the FPG analysis will be the mean of the week 20 and week 24 FPG values. All analyses (except the analysis of mean total daily dose of insulin) will utilize only observations at visits prior to rescue or where the subject's mean total daily dose of insulin has not increased by \>10% from baseline. If an observation at week 24 is missing or does not meet these criteria, the latest post-baseline value that does will be carried forward (LOCF). The analysis of mean total daily dose of insulin will utilize the latest, non-missing, post-baseline value regardless of rescue. Multiplicity for the primary and secondary endpoints will be controlled via a hierarchical testing procedure that utilizes the full alpha (0.05) for each test. The sequence of testing will be: 1. Change from baseline in HbA1c at Week 24. 2. Change from baseline in PPG AUC at Week 24.3. Change from baseline in 120 minute PPG at Week 24. 4. Proportion of subjects achieving HbA1c \<7.0% at Week 24. 5. Change from baseline in FPG to the mean at Week 20 and Week 24. 6. Change from baseline in MTDDI at Week 24.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
TREATMENT
QUADRUPLE
Study Groups
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Saxagliptin 5mg
Saxagliptin 5mg, administered to subjects with Type 2 diabetes inadequately controlled with insulin alone or with insulin plus metformin
Saxagliptin 5mg
Saxagliptin 5mg (plus stable insulin dose), given orally once daily (24 weeks); subjects stratified by use of stable metformin dose; flexible insulin dose (as needed for rescue).
Placebo
Placebo administered to subjects with Type 2 diabetes inadequately controlled with insulin alone or with insulin plus metformin
Placebo for Saxagliptin
Placebo tablets (plus stable insulin dose), given orally once daily (24 weeks); subjects stratified by use of stable metformin dose; flexible insulin dose (as needed for rescue).
Interventions
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Saxagliptin 5mg
Saxagliptin 5mg (plus stable insulin dose), given orally once daily (24 weeks); subjects stratified by use of stable metformin dose; flexible insulin dose (as needed for rescue).
Placebo for Saxagliptin
Placebo tablets (plus stable insulin dose), given orally once daily (24 weeks); subjects stratified by use of stable metformin dose; flexible insulin dose (as needed for rescue).
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
2. Diagnosed with type 2 diabetes.
3. Inadequate glycemic control (screening: HbA1c ≥7.5% and ≤11.0% and FPG\<270 mg/dL (15mmol/L). At Day -4 visit, HbA1c ≥7.5% and ≤10.5%. and FPG\<270 mg/dL (15mmol/L)).
4. On a stable dose of insulin for 8 weeks or longer prior to screening.
5. If taking metformin, subjects should have been taking the same daily dose for 8 weeks or longer prior to screening.
6. Insulin type should be intermediate-acting or long-acting (basal) or premixed (premixed formulation may include short- or rapid-acting insulin as one component).
7. Body mass index ≤45 kg/m\^2.
Exclusion Criteria
2. Women who are pregnant or breastfeeding.
3. Symptoms of poorly controlled diabetes. including but not limited to, marked polyuria and polydipsia with greater than 10% weight loss during the last three months prior to screening or other signs and symptoms.
4. Significant cardiovascular history defined as: myocardial infarction, coronary angioplasty or bypass graft, valvular disease or repair, unstable clinical significant arrhythmia, unstable angina pectoris, transient ischemic attack, or cerebrovascular accident.
5. Congestive heart failure
6. Chronic or repeated intermittent corticosteroid treatment (subjects receiving stable doses of replacement corticosteroid (except dexamethasone) therapy may be enrolled).
7. History of unstable or rapidly progressing renal disease.
8. History of alcohol or drug abuse within the previous year.
9. Unstable major psychiatric disorders.
10. History of hemoglobinopathies
11. Immunocompromised status
12. Severe liver disease.
13. In subjects treated with insulin alone a calculated creatinine clearance \<50 ml/min. In patients treated with insulin in combination with metformin a calculated creatinine clearance \<60 ml/min or serum creatinine \> 1.5 mg/dL in males or \> 1.4mg/dL in females.
14. Anemia
18 Years
100 Years
ALL
No
Sponsors
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AstraZeneca
INDUSTRY
Responsible Party
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Principal Investigators
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Linong Ji, Professor
Role: PRINCIPAL_INVESTIGATOR
People's Hospital of Peking Universty
Locations
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Research Site
Beijing, , China
Research Site
Changchun, , China
Research Site
Fuzhou, , China
Research Site
Guangzhou, , China
Research Site
Ha'er Bing, , China
Research Site
Hefei, , China
Research Site
Nanchang, , China
Research Site
Nanjing, , China
Research Site
Shanghai, , China
Research Site
Shijiazhuang, , China
Research Site
Shiyan, , China
Countries
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References
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Drucker DJ. Dipeptidyl peptidase-4 inhibition and the treatment of type 2 diabetes: preclinical biology and mechanisms of action. Diabetes Care. 2007 Jun;30(6):1335-43. doi: 10.2337/dc07-0228. Epub 2007 Mar 2. No abstract available.
Cockcroft DW, Gault MH. Prediction of creatinine clearance from serum creatinine. Nephron. 1976;16(1):31-41. doi: 10.1159/000180580.
Fonseca V, Schweizer A, Albrecht D, Baron MA, Chang I, Dejager S. Addition of vildagliptin to insulin improves glycaemic control in type 2 diabetes. Diabetologia. 2007 Jun;50(6):1148-55. doi: 10.1007/s00125-007-0633-0. Epub 2007 Mar 27.
Pan CY, Yang W, Tou C, Gause-Nilsson I, Zhao J. Efficacy and safety of saxagliptin in drug-naive Asian patients with type 2 diabetes mellitus: a randomized controlled trial. Diabetes Metab Res Rev. 2012 Mar;28(3):268-75. doi: 10.1002/dmrr.1306.
Vilsboll T, Rosenstock J, Yki-Jarvinen H, Cefalu WT, Chen Y, Luo E, Musser B, Andryuk PJ, Ling Y, Kaufman KD, Amatruda JM, Engel SS, Katz L. Efficacy and safety of sitagliptin when added to insulin therapy in patients with type 2 diabetes. Diabetes Obes Metab. 2010 Feb;12(2):167-77. doi: 10.1111/j.1463-1326.2009.01173.x.
Yang W, Pan CY, Tou C, Zhao J, Gause-Nilsson I. Efficacy and safety of saxagliptin added to metformin in Asian people with type 2 diabetes mellitus: a randomized controlled trial. Diabetes Res Clin Pract. 2011 Nov;94(2):217-24. doi: 10.1016/j.diabres.2011.07.035. Epub 2011 Aug 26.
Chen Y, Liu X, Li Q, Ma J, Lv X, Guo L, Wang C, Shi Y, Li Y, Johnsson E, Wang M, Zhao J, Ji L. Saxagliptin add-on therapy in Chinese patients with type 2 diabetes inadequately controlled by insulin with or without metformin: Results from the SUPER study, a randomized, double-blind, placebo-controlled trial. Diabetes Obes Metab. 2018 Apr;20(4):1044-1049. doi: 10.1111/dom.13161. Epub 2017 Dec 18.
Other Identifiers
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2014L00001
Identifier Type: OTHER
Identifier Source: secondary_id
D1680C00010
Identifier Type: -
Identifier Source: org_study_id