SUN-LB015 Baseline Characteristics and Effects on CV and Kidney Outcomes with Linagliptin Versus Placebo, Across GFR Categories in CARMELINA
Bibliographic record
Abstract
People with type 2 diabetes (T2D) with concomitant chronic kidney disease (CKD) and cardiovascular (CV) disease are at increased risk for recurrent CV events and hypoglycemia. Treatment of these individuals is clinically challenging, where the evidence-base for safety and efficacy of glucose lowering drugs is scarce, in particular in GFR categories G3b (eGFR 30-44 ml/min/1.73m(2)), G4 (eGFR < 30) and G5 (eGFR < 15). We analyzed baseline characteristics and effects on CV and kidney outcomes with the DPP-4 inhibitor linagliptin (LINA) vs. placebo (PBO), across GFR categories in CARMELINA (NCT01897532). People with T2D and either i) UACR >30 mg/g with concomitant CV disease, or ii) eGFR <45 ml/min/1.73m² regardless of UACR, or eGFR ≥45 - 75mL/min/1.73m² and UACR > 200 mg/g, were randomized to LINA 5 mg or placebo (PBO) q.d. in a double-blind fashion. The primary outcome was first occurrence of CV death, non-fatal myocardial infarction, or non-fatal stroke (3P-MACE), with an adjudicated secondary composite outcome of ESKD, renal death, or sustained ≥40% decrease in eGFR from baseline. Other adjudicated outcomes included hospitalized heart failure (hHF) and the 3P-MACE components. Subgroup-effects across GFR categories (G≤2, G3a, G3b and G≥4) were also assessed. Of the 6979 participants, 15.2% were in GFR category G≥4, 27.8% G3b, 19.3% G3a, and 37.7% G≤2 at baseline. Participants in G≥4 (mean±SD eGFR 23.4±4.2 mL/min/1.73m²) or G3b (eGFR 37.2±4.1) as compared with G3a (eGFR 51.4±4.4) and G≤2 (eGFR 81.6±16.7) had more albuminuria, longer T2D duration and were more frequently treated with insulin, but less often with sulfonylureas and metformin. Over a median 2.2 years, LINA did not affect the risk for 3P-MACE (HR.1.02 [95% CI, 0.89, 1.17]), the secondary kidney composite outcome (1.04 [0.89, 1.22]), hHF (0.90 [0.74, 1.08]), or CV mortality (0.96 [0.81, 1.14]). Incidences were higher by declining kidney function, e.g. the 3P-MACE PBO incidence rate was 2.4 fold higher in G≥4 (9.6 per 100 patient-yrs) relative to G≤2 (4.0 per 100-patient yrs), whereas the kidney composite 9.8 fold (14.7 vs 1.5 per 100 patient-yrs), hHF 4.1 fold (6.2 vs 1.5 per patient-yrs) and CV death 3.0 fold (6.8 vs 2.3 per 100 patient-yrs) higher, respectively. A consistent neutral effect was observed across all GFR categories (interaction p-values: 0.84 [3P-MACE], 0.36 [kidney composite], 0.88 [hHF], 0.23 [CV mortality]). Adverse events (AE) increased with declining kidney function, but the proportion with ≥1 AE, or ≥1 serious AE were balanced between LINA and PBO across the GFR categories. HbA1c was reduced significantly, but without increased risk for hypoglycemia with LINA vs PBO, across all GFR categories. These findings in a large, international CV outcome trial in patients with T2D and concomitant CV and renal disease support the safety and tolerability of LINA as a T2D therapy that can be used across a broad range of kidney disease. Unless otherwise noted, all abstracts presented at ENDO are embargoed until the date and time of presentation. For oral presentations, the abstracts are embargoed until the session begins. Abstracts presented at a news conference are embargoed until the date and time of the news conference. The Endocrine Society reserves the right to lift the embargo on specific abstracts that are selected for promotion prior to or during ENDO.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".