Abstract 11159: Prolonged QRS Duration Predicts Outcomes in Heart Failure With Preserved Ejection Fraction
Bibliographic record
Abstract
Introduction: QRS widening on the surface electrocardiogram (ECG) is a marker of disease progression in heart failure (HF) with reduced ejection fraction. We hypothesized that prolonged QRS duration would similarly identify patients with HF with preserved ejection fraction (HFPEF) at high risk for cardiovascular (CV) events. Methods: We examined the relationship of baseline QRS duration to primary outcome [composite of CV death, aborted cardiac arrest, or HF hospitalization (HFH)] and HFH alone in TOPCAT, a multicenter, randomized, placebo-controlled trial of spironolactone in HFPEF. QRS duration was analyzed as a dichotomous variable (≥ 120 ms or < 120 ms). Multivariable analyses were conducted including variables that were significantly associated with QRS duration ≥ 120 ms (Table 1). Analyses were conducted in the entire study cohort as well as in separate analyses for only subjects enrolled from the Americas or from Russia/Georgia independently. Results: QRS duration was known in 3426 of 3445 TOPCAT patients. Compared to those with QRS duration < 120ms, 613 (17.9%) subjects had a QRS duration ≥ 120 ms and were older (72.9 years vs. 67.8 years; p < 0.0001) and more likely to be men (62% vs. 45%; p<0.0001). A QRS duration ≥ 120 ms was independently associated with an increased risk of primary outcome and HFH in the entire study cohort and in the subset of patients enrolled in the Americas but was of borderline statistical significance in Russia/Georgia (Table 1). No statistical interaction was observed between treatment with spironolactone and QRS duration (p value for interaction= 0.33). Conclusions: QRS duration identifies HFPEF subjects at a higher risk of adverse clinical outcomes; spironolactone had a similar effect on outcomes independent of QRS duration. This easily obtainable marker may be an important component of risk stratification in this syndrome.
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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) | 0.000 | 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) | 0.003 | 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".