Abstract 14295: Increasing QRS Duration Over Time Is Associated With Mortality and Morbidity in an Outpatient Heart Failure Population
Bibliographic record
Abstract
Introduction: Heart failure is a leading cause of morbidity and mortality. Prolonged QRS duration (QRSd), a marker of intra-ventricular conduction delay, has been shown to be associated with worse left ventricular (LV) systolic function, LV dilation and mitral regurgitation as well as with mortality. There are minimal data in the literature on the progression of QRSd over time, and the association with clinical outcomes. Hypothesis: We hypothesized that the progression of QRSd over time would be associated with mortality and hospitalizations in an outpatient heart failure population. Methods: Retrospective study of consecutive new adult referrals to a tertiary heart failure clinic over a 1 year period (2012). All patients with a narrow QRSd (defined as <130 ms) were included. Data were collected on demographics, ejection fraction (EF), clinical course and major clinical events. Primary endpoint was mortality and secondary endpoint was heart failure hospitalization. Results: A total of 147 patients were included, 90 were males (61%). Mean age was 66 years (+/-15), mean EF was 33% (+/- 15) and mean NYHA class 2.2 (+/- 0.9) at baseline. An ischemic aetiology accounted for 50% of the patients. Mean QRSd was 100 ms (+/- 13) at baseline and 119 ms (+/- 25) at last follow-up, which was a mean of 2.5 years from baseline. Death occurred in 27 patients (18%) and there were 114 hospitalizations in 54 patients. Results of univariate regression analysis are presented in the table. Conclusion: An increase in QRSd over time is associated with increased heart failure hospitalizations and all cause mortality in a tertiary care outpatient heart failure population.
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 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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".