Erythropoietic response to oral iron with sodium-glucose co-transporter 2 inhibitors
Bibliographic record
Abstract
BACKGROUND: Anemia and iron deficiency are common in heart failure (HF) and chronic kidney disease (CKD). These conditions are associated with upregulation of hepcidin, which impairs the enteric absorption of iron, limiting the use of oral iron formulations in these populations. Sodium-glucose co-transporter 2 inhibitors (SGLT2i) are associated with enhanced erythropoiesis and have been shown to augment the erythropoietic response to intravenous iron. The effect of baseline SGLT2i therapy in the erythropoietic response following oral iron supplementation is currently not known. OBJECTIVES: To compare the erythropoietic response to oral iron supplementation in patients with HF or CKD, using and not using SGLT2i as background therapy. METHODS: This is a retrospective analysis of ambulatory patients with HF or CKD followed in cardio-kidney-metabolic clinics from a quaternary care hospital in Canada and a tertiary care hospital from Portugal. An age- and sex-matched population of patients using (n = 76) and not using (n = 76) a SGLT2i was compared for changes in hemoglobin and hematocrit following oral iron supplementation. Secondary outcomes included changes in iron biomarkers, natriuretic peptides and kidney function. RESULTS: Overall, the mean age was 75 ± 9 years, 49% were men, 119 (78%) had CKD, 107 (70%) HF, and 113 (74%) had anemia. After adjustment for baseline differences, SGLT2i users experienced a greater increase in hemoglobin and hematocrit compared to SGLT2i non-users: hemoglobin + 0.80 g/dL (95% confidence interval [CI] 0.39-1.21 g/dL, p < 0.001); hematocrit + 3.0% (95% CI 1.0-4.0%, p < 0.001). No significant differences on iron biomarkers or any of the secondary outcomes were found between the groups. CONCLUSIONS: Oral iron supplementation in patients with background therapy including a SGLT2i (vs. SGLT2i non-users) was associated with a greater increase in hemoglobin and hematocrit. These results suggest that patients with HF or CKD patients treated with SGLT2i might have an enhanced erythropoietic response to oral iron supplementation.
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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 | 0.000 | 0.001 |
| 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) | 0.001 | 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".