Abstract 16709: Contrasting Influences of Renal Function on Blood Pressure and HbA1c Reductions With Empagliflozin in Patients With Type 2 Diabetes and Hypertension
Bibliographic record
Abstract
The sodium glucose cotransporter 2 inhibitor empagliflozin (EMPA) reduces HbA1c, weight and blood pressure (BP) in patients with type 2 diabetes (T2D). While glucose lowering with EMPA is dependent on renal function, the impact of chronic kidney disease (CKD) on BP reduction with EMPA is less well understood. Our aim was to determine if impaired renal function attenuates antihypertensive effects of EMPA. A Phase III randomized placebo (PBO)-controlled trial (EMPA-REG BP™) investigated the efficacy and safety of EMPA in patients with T2D and hypertension (defined as mean seated office systolic BP [SBP] 130-159 mmHg and diastolic BP [DBP] 80-99 mmHg at screening). Patients (mean [SD] age 60.2 [9.0] years, HbA1c 7.90 [0.74] %, 24-hour SBP 131.4 [12.3] and 24-hour DBP 75.0 [7.8] mmHg) received EMPA 10 mg (n=276), EMPA 25 mg (n=276) or PBO (n=271) once daily for 12 weeks. We assessed changes from baseline in mean ambulatory 24-hour SBP and HbA1c in subgroups by baseline eGFR (MDRD equation), adjusting for differences in baseline mean 24-hour SBP (for SBP analyses only), HbA1c, region, number of antihypertensive medications, treatment, eGFR and treatment by eGFR interaction between groups. In patients with normal renal function, or stage 2 or 3 CKD, EMPA significantly reduced HbA1c and mean 24-hour SBP vs PBO (Table). As expected, PBO-corrected HbA1c reductions with EMPA appeared to decrease with decreasing eGFR (Table). In contrast, PBO-corrected reductions in mean 24-hour SBP with EMPA mostly appeared to increase with decreasing eGFR (Table). Unlike HbA1c, mean 24-hour SBP reductions with EMPA in patients with T2D and hypertension appear to be greater in patients with lower eGFR, indicating that SBP modulation with EMPA may involve pathways other than urinary glucose excretion such as diuretic effects, weight loss, improved glycemic control, reduced arterial stiffness or direct vascular effects.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".