Abstract 4137991: Association of the 2022 AHA/ACC/HFSA Heart Failure Staging and Cardiovascular and Kidney Outcomes in Patients with Diabetes and Kidney Disease: A Secondary Analysis of the SCORED Trial
Bibliographic record
Abstract
Introduction: The 2022 AHA/ACC/HFSA heart failure (HF) classification newly incorporates cardiac biomarkers to identify patients at risk of HF. Research Question: Given shared risk factors between HF and other cardiorenal events, the HF stages may also guide prognosis and management of cardiovascular (CV) and kidney-related events beyond HF. Aims: Examine the association of HF stage with CV and kidney events. Methods: SCORED was a randomized trial in diabetes with kidney disease comparing sotagliflozin (sota) v. placebo on CV death, hospitalizations for HF, and urgent HF visits. SCORED participants were grouped by HF stage post hoc . Stage A: No HF, normal cardiac biomarkers (NT-proBNP; <125 pg/mL, hs-cTnT; <14 ng/L) and normal cardiac structure/function by echocardiography. Stage B (pre-HF): No HF but elevated NTproBNP, hsTNT or abnormal echocardiography. Stage C/D: symptomatic HF. Endpoints of interest included the primary composite endpoint (CV death and HF-related events), major adverse CV events (MACE), and kidney-related composites (See Figure caption). Using Cox regression, we examined the association between HF stage and these endpoints, and whether the effect of sota v. placebo varied by HF stage. Results: There were 741 patients in stage A, 6560 in stage B (pre-HF) and 3283 in stage C/D (established HF). The mean NTproBNP and hs-cTnT increased with HF stage. Stepwise increases in HF stage were associated with a 2-4 fold higher incidence of the primary, MACE and kidney endpoints in the placebo group, although the incidence of the kidney-specific composite was similar in stage B and C/D (Figure). The relative risk reduction with sota v. placebo for all endpoints was similar irrespective of HF stage (p-interaction>0.05), with higher absolute benefit in each HF stage (Figure). The absolute benefit for the kidney-specific endpoint was comparable for stage B and C/D. Conclusions: Increasing HF stage is associated with higher risk of HF, MACE, and kidney events, but the risk of kidney events is similar in stage B (pre-HF) and stage C/D (established HF). Sota has similar relative benefits for all endpoints, irrespective of HF stage, with a corresponding increase in absolute benefits at higher stages.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".