Abstract 17252: Left Ventricular Noncompaction in Patients With Preserved Ejection Fraction is Associated With Increased Cardiac Hospitalizations
Bibliographic record
Abstract
Introduction: Prominent left ventricular trabeculations or left ventricular non-compaction (LVNC) is observed now more often with cardiac magnetic resonance imaging (MRI). The significance of LVNC in patients with preserved ejection fraction remains unknown however it may be a precursor to cardiomyopathy. Hypothesis: This study is aimed to evaluate the clinical outcome of patients with LVNC and preserved LV function compared to patients with normal myocardial anatomy and function. Methods: This is a retrospective analysis of patients referred for cardiac MRI between October 2012 and July 2017. Patients with hypertrophic cardiomyopathy, ischemic heart disease and infiltrative heart disease were excluded. Patients with prominent trabeculations and a noncompacted to compacted myocardial ratio ≥ 2.3 with a preserved left ventricular ejection fraction of ≥ 50% were included. The primary outcome is defined as cardiac hospitalizations resulting from chest pain, arrhythmias, syncope, and congestive heart failure. These patients were compared to patients who underwent cardiac MRI with preserved function and normal myocardial anatomy. Results: There were a total of 39 patients who met criteria of LVNC with preserved function by MRI. These were compared to 59 patients with preserved function and normal myocardial anatomy on MRI. There was no significant difference in demographics and LV size and function between the groups. In comparison with the control group, the LVNC group had a mean age of 44 ± 14 versus 42 ± 16, 62% female sex versus 59%, LV EF of 59 ± 5% versus 62 ± 6%, LV end diastolic volume of 148 ± 26 ml versus 146 ± 40 ml. There were a total of 7 cardiac hospitalizations, of which 5 occurred in patients with LVNC. LVNC was associated with a greater than 4-fold increased risk of events (HR4.6, 95%CI 1.0-21.8) (figure) Conclusions: In patients with preserved EF, LVNC anatomy is significantly associated with increased cardiac hospitalizations.
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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 | 0.001 | 0.001 |
| 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".