Right Ventricular Function in Peripartum Cardiomyopathy at Presentation Is Associated With Subsequent Left Ventricular Recovery and Clinical Outcomes
Bibliographic record
Abstract
BACKGROUND: Peripartum cardiomyopathy has variable disease progression and left ventricular (LV) recovery. We hypothesized that baseline right ventricular (RV) size and function are associated with LV recovery and outcome. METHODS AND RESULTS: Investigations of Pregnancy-Associated Cardiomyopathy was a prospective 30-center study of 100 peripartum cardiomyopathy women with LV ejection fraction (LVEF) <45% within 13 weeks after delivery. Baseline RV function was assessed by echocardiographic end-diastolic area, end-systolic area, fractional area change, tricuspid annular plane excursion, and RV speckle-tracking longitudinal strain. LV recovery was defined as LVEF of ≥50% at 1 year, persistent severe LV dysfunction as LVEF of ≤35%, and major events as death, transplant, or LV assist device implantation. RV measurements were feasible for 90 of the 96 patients (94%) with echocardiograms available. Mean baseline LVEF was 36±9%. RV fractional area change was <35% in 38% of patients. Of 84 patients with 1-year follow-up data, 63 (75%) had LV recovery and 11 (13%) had LVEF of ≤35% or a major event (4 LV assist devices and 2 deaths). Tricuspid annular plane excursion and RV strain did not predict outcome. Baseline RV fractional area change by multivariable analysis was independently associated with subsequent LV recovery and clinical outcome. CONCLUSIONS: Peripartum cardiomyopathy patients had a high incidence of LV recovery, but a significant minority had persistent LV dysfunction or a major clinical event by 1 year. RV function per echocardiographic fractional area change at presentation was associated with subsequent LV recovery and clinical outcomes and thus is prognostically important.
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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 | 0.004 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".