Reserva contráctil por fracción de eyección sola, o con elastancia. ¿Cuál es el mejor predictor de eventos luego de un Eco Estrés sin isquemia?
Bibliographic record
Abstract
Background: The behavior of left ventricular ejection fraction (LVEF) during exercise is used to measure contractile reserve (CR). CR measured by elastance could have greater prognostic value. Objective: To establish whether the measurement of CR by elastance adds long-term prognostic value to CR measured by LVEF in patients with a Stress Echo without myocardial ischemia. Material and methods: Retrospective study, carried out in 904 patients with an exercise Stress Echo without ischemia. CR was assessed by LVEF and by elastance. Patients were divided into 2 groups: Group 1: presence of CR by LVEF (in turn this group was divided into 2 subgroups: Group 1A, CR with elastance present, and Group 1B: absence of CR by elastance), and Group 2: patients with absence of CR by LVEF. The follow-up was 17,7 ± 5,4 months. Outcomes considered were death, acute myocardial infarction (AMI), stroke, and cardiovascular hospitalization. Results: 536 patients were included in Group 1, 200 (37,3 %) in Group 1A and 336 (62,7%) in Group 1B. In Group 2, 368 patients were included. At follow-up, patients in Group 2 had more events, 30 (8.1%) vs. 22 (2.6%) (HR 3.14, 95% CI 1.95-5.9, log rank test p <0.001). Within G1, patients in Group 1B presented more events: 18(5.3%) vs 4 (2%) (HR 2.46 CI 95% 1.06-7.3, log rank test p <0.05). In the regression model, CR assessed by LVEF and additionally by elastance was the only significant outcome predictor (HR 3.2, 95% CI 1.83-5.6, p <0.001). Conclusions: In an exercise Stress Echo negative for ischemia, CR behavior evaluated by elastance allowed us to identify a subgroup with a worse long-term prognosis in patients with normal LVEF response. How to cite this article: Lowenstein Haber DM, Arbucci R, Merlo P, Martínez L, Gastaldello N, Saad AK, y cols. Contractile reserve by left ventricular ejection fraction alone, or considering elastance. ¿Which is the best predictor of events after a Stress Echo without ischemia? Rev Argent Cardiol 2022;90:329-35. http://dx.doi.org/10.7775/rac.v90.i5.2
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.022 | 0.006 |
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".