Patient Phenotypes and SGLT-2 Inhibition in Type 2 Diabetes
Bibliographic record
Abstract
OBJECTIVES: Using latent class analysis (LCA) of EMPA-REG OUTCOME (BI 10773 [Empagliflozin] Cardiovascular Outcome Event Trial in Type 2 Diabetes Mellitus Patients), this study identified distinct phenotypes in subjects with type 2 diabetes (T2D) and cardiovascular (CV) disease and explored treatment effects across phenotypes. BACKGROUND: In the EMPA-REG OUTCOME trial, empagliflozin reduced risk of CV death or hospitalization for heart failure (HHF) by 34% in subjects with T2D and CV disease. Among such subjects, there has been limited evaluation of clinical phenotypes. METHODS: Overall, 7,020 participants were treated with empagliflozin 25 mg, 10 mg, or placebo. For this post hoc analysis, participants were randomly separated into training (two-thirds of patients) and validation (remaining one-third) sets. LCA identified 3 phenotype groups (n = 6,639 with complete data). The phenotype association with CV death or HHF and empagliflozin treatment effect across groups was explored by Cox regression (in training and validation sets). RESULTS: In the training set, phenotype group 1 (n = 1,463; 33.1%) included younger patients with shorter T2D duration and the highest estimated glomerular filtration rate (eGFR). Phenotype group 2 (n = 1,172; 26.5%) included more women with non-coronary artery disease. Phenotype group 3 (n = 1,785; 40.4%) included older patients with advanced coronary disease and the lowest eGFR. The risk of CV death varied across phenotypes (group 2 vs. 1: hazard ratio [HR]; 1.83; 95% confidence interval [CI]: 1.23 to 2.71; group 3 vs. 1: HR: 1.86; 95% CI: 1.30 to 2.67) with similar patterns for CV death or HHF. Consistent treatment effects of empagliflozin were seen across phenotypes in the training and validation sets (interaction p > 0.30). CONCLUSIONS: Among participants with T2D, this study identified 3 phenotypes with varying CV risk. The treatment effect across phenotypes reaffirms the robustness of CV death or HHF reduction with empagliflozin. (BI 10773 [Empagliflozin] Cardiovascular Outcome Event Trial in Type 2 Diabetes Mellitus Patients [EMPA-REG OUTCOME]; NCT01131676).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".