| Literature DB >> 25780262 |
Nikolaus Marx1, Julio Rosenstock2, Steven E Kahn3, Bernard Zinman4, John J Kastelein5, John M Lachin6, Mark A Espeland7, Erich Bluhmki8, Michaela Mattheus9, Bart Ryckaert10, Sanjay Patel11, Odd Erik Johansen12, Hans-Juergen Woerle9.
Abstract
CARdiovascular Outcome Trial of LINAgliptin Versus Glimepiride in Type 2 Diabetes (NCT01243424) is an ongoing, randomized trial in subjects with early type 2 diabetes and increased cardiovascular risk or established complications that will determine the long-term cardiovascular impact of linagliptin versus the sulphonylurea glimepiride. Eligible patients were sulphonylurea-naïve with HbA1c 6.5%-8.5% or previously exposed to sulphonylurea (in monotherapy or in a combination regimen <5 years) with HbA1c 6.5%-7.5%. Primary outcome is time to first occurrence of cardiovascular death, non-fatal myocardial infarction, non-fatal stroke or hospitalization for unstable angina. A total of 631 patients with primary outcome events will be required to provide 91% power to demonstrate non-inferiority in cardiovascular safety by comparing the upper limit of the two-sided 95% confidence interval as being below 1.3 for a given hazard ratio. Hierarchical testing for superiority will follow, and the trial has 80% power to demonstrate a 20% relative cardiovascular risk reduction. A total of 6041 patients were treated with median type 2 diabetes duration 6.2 years, 40.0% female, mean HbA1c 7.2%, 66% on 1 and 24% on 2 glucose-lowering agents and 34.5% had previous cardiovascular complications. The results of CARdiovascular Outcome Trial of LINAgliptin Versus Glimepiride in Type 2 Diabetes may influence the decision-making process for selecting a second glucose-lowering agent after metformin in type 2 diabetes.Entities:
Keywords: Type 2 diabetes; cardiovascular complications; dipeptidyl-peptidase-4 inhibitor; macrovascular; sulphonylurea
Mesh:
Substances:
Year: 2015 PMID: 25780262 PMCID: PMC4390606 DOI: 10.1177/1479164115570301
Source DB: PubMed Journal: Diab Vasc Dis Res ISSN: 1479-1641 Impact factor: 3.291
Key inclusion criteria in CAROLINA.
| Insufficient glycaemic control | Elevated risk of CV events defined as any 1 (or more) of the criteria (a, b, c or d) |
|---|---|
|
(a) (i) Metformin monotherapy (ii) α-Glucosidase inhibitor monotherapy (e.g. acarbose, voglibose) (iii) Metformin plus α-glucosidase inhibitor (e.g. acarbose, voglibose) (b) (i) SU monotherapy (ii) Glinide monotherapy (e.g. repaglinide, nateglinide) (iii) Metformin plus SU (for a maximum of 5 years) (iv) Metformin plus glinide (for a maximum of 5 years) (v) α-Glucosidase inhibitor plus SU (for a maximum of 5 years) (vi) α-Glucosidase inhibitor plus glinide (for a maximum of 5 years) |
(a) Previous vascular disease: (i) MI (>6 weeks prior to informed consent IC) (ii) Documented coronary artery disease (⩾50% luminal diameter narrowing of left main coronary artery or in at least two major coronary arteries in angiogram) (iii) Percutaneous coronary intervention (>6 weeks prior to IC) (iv) Coronary artery bypass grafting (>4 years prior to IC) or with recurrent angina following surgery (v) Ischaemic or haemorrhagic stroke (>3 months prior to IC) (vi) Peripheral occlusive arterial disease (b) Evidence of vascular-related end-organ damage: (i) Moderately impaired renal function (as defined by MDRD formula) with eGFR 30–59 mL/min/1.73 m2 (ii) Random spot urinary albumin:creatinine ratio ⩾30 µg/mg in two of three specimens in the previous 12 months (iii) Proliferative retinopathy defined as retinal neovascularisation or previous retinal laser coagulation therapy (c) Age ⩾ 70 years (d) At least two of the following CV risk factors: (i) T2D duration >10 years (ii) Systolic BP > 140 mmHg (or on at least 1 BP-lowering treatment) <6 months prior to IC (iii) Current daily cigarette smoking (iv) LDL-cholesterol ⩾ 135 mg/dL (3.5 mmol/L) (or specific current treatment for this lipid abnormality) <6 months prior to IC |
CAROLINA: CARdiovascular Outcome Trial of LINAgliptin Versus Glimepiride in Type 2 Diabetes; IC: informed consent; T2D: type 2 diabetes; BP: blood pressure; SU: sulphonylurea; MI: myocardial infarction; MDRD: modified diet in renal disease; eGFR: estimated glomerular filtration rate; CV: cardiovascular.
Figure 1.CAROLINA study design.
Outline of CAROLINA sub-studies.
| Rationale for sub-studies | |
|---|---|
| Cognition sub-study | Cognitive dysfunction is increased in T2DM |
| Effects of glucose-lowering therapies on cognitive decline remain unknown | |
| DPP-4 inhibition has a theoretical basis for potential benefits[ | |
| Glycaemic variability sub-study | Improving glucose diurnal patterns may have an impact on vascular complications and β-cell dysfunction |
| DPP-4 inhibitors may mimic normal glucose diurnal patterns to a greater degree than SUs and may have salutary effects on these outcomes[ | |
| β-cell function sub-study | The inevitably progressive decline in β-cell function in T2D is a major challenge to its effective management |
| Long-term β-cell function studies in T2D with different therapies are required[ | |
| Latent autoimmune diabetes in adults (LADA) sub-study | There are currently no gold standard treatments for LADA |
| Role of SUs in the natural disease progression of LADA are debated | |
| Linagliptin prevented accelerated C-peptide decline in LADA in an exploratory clinical study[ |
CAROLINA: CARdiovascular Outcome Trial of LINAgliptin Versus Glimepiride in Type 2 Diabetes; T2DM: type 2 diabetes; DPP-4: dipeptidyl-peptidase-4; SU: sulphonylurea.
Baseline characteristics, overall and according to CV risk category in CAROLINA.
| Total ( | Group A: previous CV events ( | Group B: retinopathy/albuminuria ( | Group C: age >70 years ( | Group D: ⩾2 CV risk factors ( | |
|---|---|---|---|---|---|
| Age, years (mean ± SD) ⩾ 75 years of age ( | 64.0 ± 9.5 (14.0%) | 64.6 ± 8.9 (14.3%) | 65.6 ± 9.7 (21.2%) | 74.0 ± 3.4 (37.9%) | 58.0 ± 7.2 (0%) |
| Male ( | 3622 (60.0%) | 1511 (72.5%) | 284 (55.4%) | 593 (51.0%) | 1219 (54.1%) |
| Race ( | |||||
| White | 4408 (73.0%) | 1489 (71.4%) | 367 (71.5%) | 911 (78.3%) | 1634 (72.6%) |
| Asian | 1061 (17.6%) | 427 (20.5) | 85 (16.6%) | 145 (12.5%) | 402 (17.9%) |
| Black/African American | 331 (5.5%) | 101 (4.8%) | 32 (6.2%) | 40 (3.4%) | 157 (7.0%) |
| Other[ | 241 (4.0%) | 67 (3.2%) | 29 (5.7%) | 67 (5.8%) | 59 (2.6%) |
| Ethnicity ( | |||||
| Hispanic or Latino | 1033 (17.1%) | 309 (14.8%) | 96 (18.7%) | 260 (22.4%) | 368 (16.3%) |
| Smoking: current/ex-smoker (%) | 19.5%/33.7% | 16.3%/46.2% | 14.4%/30.2% | 6.6%/32.8% | 30.7%/23.6% |
| Time since T2D diagnosis, years (median, IQR) | 6.2 (2.9–11.0) | 5.8 (2.7–10.4) | 6.6 (3.6–11.3) | 7.7 (4.3–12.0) | 5.8 (2.6–10.7) |
| Time since T2D diagnosis (%) | |||||
| ⩽5 years | 40.6% | 43.7% | 36.1% | 30.5% | 44.2% |
| >5–10 years | 28.2% | 29.1% | 30.4% | 30.5% | 25.9% |
| >10 years | 30.9% | 27.2% | 33.5% | 39.0% | 29.9% |
| Region (%) | |||||
| Europe | 45.4% | 46.0% | 44.4% | 48.2% | 44.2% |
| North America (including New Zealand and Australia) | 20.7% | 18.8% | 18.9% | 17.5% | 23.6% |
| South America | 15.0% | 13.5% | 17.7% | 19.3% | 13.8% |
| Africa | 2.2% | 1.8% | 2.7% | 2.8% | 2.1% |
| Asia | 16.7% | 20.0% | 16.2% | 12.1% | 16.3% |
| Glucose-lowering therapy at screening ( | |||||
| None | 557 (9.2%) | 184 (8.8%) | 50 (9.7%) | 118 (10.1%) | 201 (8.9%) |
| 1 glucose lowering | 3988 (66.0%) | 1345 (64.5%) | 318 (62.0%) | 793 (68.2%) | 1530 (67.9%) |
| 2 glucose lowering | 1439 (23.8%) | 546 (26.2%) | 139 (27.1%) | 245 (21.1%) | 505 (22.4%) |
| 3 or no reliable data | 57 (0.9%) | 9 (0.4%) | 6 (1.2%) | 7 (0.6%) | 16 (0.7%) |
| Any metformin | 4982 (82.5%) | 1721 (82.6%) | 391 (76.2%) | 927 (79.7%) | 1937 (86.0%) |
| Any SU | 1728 (28.6%) | 651 (31.2%) | 193 (37.6%) | 315 (27.1%) | 565 (25.1%) |
| Any glinide | 65 (1.1%) | 22 (1.1%) | 8 (1.6%) | 16 (1.4%) | 19 (0.8%) |
| Any α-GI inhibitor | 188 (3.1%) | 63 (3.0%) | 19 (3.7%) | 40 (3.4%) | 66 (2.9%) |
| Monotherapy ( | 3988 (100.0%) | 1345 (100.0%) | 318 (100.0%) | 793 (100.0%) | 1530 (100.0%) |
| Metformin (% of monotherapy) | 3526 (88.4%) | 1171 (87.1%) | 249 (78.3%) | 681 (85.9%) | 1423 (93.0%) |
| SU (% of monotherapy) | 391 (9.8%) | 148 (11.0%) | 61 (19.2%) | 92 (11.6%) | 90 (5.9%) |
| Dual therapy ( | 1439 (100.0%) | 546 (100%) | 139 (100%) | 245 (100%) | 505 (100%) |
| Metformin + SU (% of dual therapy) | 1280 (89.0%) | 489 (89.6%) | 124 (89.2%) | 211 (86.1%) | 452 (89.5%) |
| Metformin + glinide | 44 (3.1%) | 16 (2.9%) | 2 (1.4%) | 12 (4.9%) | 14 (2.8%) |
| Metformin + α-GI inhibitor | 82 (5.7%) | 31 (5.7%) | 8 (5.8%) | 12 (4.9%) | 31 (6.1%) |
| Other therapies (%) | |||||
| Acetylsalicylic acid | 50.1% | 79.8% | 39.4% | 40.0% | 30.8% |
| Statins | 64.1% | 74.0% | 51.9% | 53.4% | 63.9% |
| Fibrates | 5.9% | 6.0% | 6.8% | 4.4% | 6.5% |
| Any anti-hypertensive therapy (%) | 87.7% | 92.9% | 88.1% | 81.9% | 86.4% |
| Blockers of the renin–angiotensin system (ACEi/ARBs) | 44.1%/31.1% | 48.0%/29.1% | 45.0%/36.3% | 38.7%/31.0% | 43.4%/32.1% |
| Beta-blockers | 38.8% | 61.8% | 30.0% | 27.1% | 26.0% |
| Calcium channel blockers | 29.3% | 32.3% | 33.9% | 29.5% | 25.7% |
CV: cardiovascular; CAROLINA: CARdiovascular Outcome Trial of LINAgliptin Versus Glimepiride in Type 2 Diabetes; T2DM: type 2 diabetes; DPP-4: dipeptidyl-peptidase-4; SU: sulphonylurea; GI: glucosidase inhibitor; IQR: interquartile range; SD: standard deviation; ACEi: angiotensin converting enzyme inhibitors; ARB: angiotensin receptor blocker.
A few patients had no reliable CV risk categorization.
American Indian/Native, Alaskan/Native, Hawaiian/Pacific Islander.
Key laboratory data, overall and according to CV risk category in CAROLINA.
| Total ( | Group A: previous CV events ( | Group B: retinopathy/albuminuria ( | Group C: age >70 years ( | Group D: ⩾2 CV risk factors ( | |
|---|---|---|---|---|---|
| HbA1c, % (mean ± SD) | 7.2 ± 0.6 | 7.2 ± 0.6 | 7.1 ± 0.6 | 7.1 ± 0.5 | 7.2 ± 0.6 |
| HbA1c ⩾ 8.0% (%) | 9.4% | 9.3% | 9.7% | 6.8% | 10.7% |
| Fasting plasma glucose, mg/dL (mean ± SD) | 140 ± 31 | 140 ± 31 | 139 ± 32 | 138 ± 29 | 141 ± 30 |
| BMI, kg/m2 (mean ± SD); ⩾35 kg/m2 (%) | 30.1 ± 5.1; 17.1% | 29.7 ± 5.0; 14.9% | 30.1 ± 5.3; 17.7% | 28.8 ± 4.6; 10.6% | 31.1 ± 5.3; 22.5% |
| Weight, kg (mean ± SD) | 84.0 ± 18.0 | 84.1 ± 17.7 | 82.4 ± 17.7 | 78.2 ± 15.8 | 87.2 ± 18.6 |
| Waist circumference, cm (mean ± SD) | 103 ± 13 | 103 ± 13 | 103 ± 14 | 101 ± 12 | 104 ± 13 |
| Systolic/diastolic BP, mmHg (mean ± SD) | 136 ± 16/79 ± 10 | 136 ± 17/78 ± 10 | 138 ± 18/79 ± 10 | 138 ± 16/77 ± 10 | 135 ± 15/81 ± 9 |
| Heart rate (mean ± SD) | 71 ± 11 | 69 ± 11 | 72 ± 11 | 70 ± 10 | 73 ± 10 |
| Lipids, mg/dL (mean ± SD) | |||||
| Total cholesterol | 177 ± 44 | 169 ± 43 | 182 ± 48 | 180 ± 40 | 181 ± 45 |
| LDL-cholesterol | 95 ± 36 | 90 ± 36 | 100 ± 38 | 98 ± 34 | 98 ± 35 |
| HDL-cholesterol | 48 ± 13 | 46 ± 12 | 49 ± 13 | 52 ± 14 | 48 ± 13 |
| Triglycerides (median, IQR) | 144 (105, 198) | 145 (105, 199) | 145 (109, 199) | 130 (99, 178) | 147 (109, 206) |
| eGFR according to MDRD, mL/min/1.73m2 (mean ± SD) | 77 ± 20 | 75 ± 19 | 63 ± 23 | 73 ± 17 | 84 ± 18 |
| eGFR according to MDRD (%) | |||||
| ⩾90 mL/min/1.73m2 | 23.4% | 19.9% | 13.8% | 15.0% | 33.3% |
| 60–<90 mL/min/1.73m2 | 57.5% | 58.3% | 30.8% | 64.7% | 59.6% |
| 30–<60 mL/min/1.73m2 | 18.2% | 21.4% | 52.8% | 19.7% | 6.8% |
| UACR, µg/mg; median (Q1, Q3) | 9.7 (5.3–30.9) | 10.6 (5.3–38.0) | 24.8 (7.1–108.3) | 9.7 (5.3–30.9) | 8.0 (4.4–20.3) |
| UACR (%) | |||||
| ⩽30 µg/mg | 74.0% | 71.0% | 53.0% | 74.2% | 82.1% |
| >30–300 µg/mg | 21.2% | 23.8% | 32.6% | 22.2% | 15.9% |
| >300 µg/mg | 4.3% | 5.1% | 14.2% | 3.5% | 1.8% |
IC: informed consent; T2D: type 2 diabetes; BP: blood pressure; SU: sulphonylurea; MI: myocardial infarction; MDRD: modified diet in renal disease; eGFR: estimated glomerular filtration rate; CV: cardiovascular; IQR: interquartile range; SD: standard deviation; UACR: urine albumin-to-creatinine ratio; LDL: low-density lipoprotein; HDL: high-density lipoprotein; BMI: body mass index.
n = 6019 for HbA1c, n = 6007 for fasting plasma glucose, n = 6016 for BMI, n = 6020 for weight and vital signs, n = 6015 for waist circumference, n = 6017 for eGFR, n = 6014 for UACR.
A few patients had no reliable CV risk categorization.