Safety and Efficacy of MitraClip in Acutely Ill (NYHA Class IV) Patients with Mitral Regurgitation: Results from the Global EXPAND Study
Bibliographic record
Abstract
AIM: Patients with severe mitral regurgitation (MR) and acute heart failure (HF) have refractory symptoms without adequate response to medical therapy. The objective of this analysis was to assess the impact of the MitraClip device in acutely ill HF patients, characterized by NYHA Class IV at baseline, in a real-world, contemporary setting. METHODS AND RESULTS: EXPAND was a prospective, multicenter, international study enrolling patients with MR who consented to receive the MitraClip System at 57 sites globally. The study outcomes included acute procedural success (APS), quality of life, heart failure hospitalizations (HFH), and all-cause mortality. The study population comprised 1,041 patients, with 118 patients having baseline NYHA Class IV, and 922 having baseline NYHA Class I/II/III. NYHA Class IV patients had a significantly higher rate of baseline co-morbidities and secondary MR aetiology compared with NYHA Class I/II/III patients. APS was achieved in 92.4% of NYHA Class IV patients and significant improvement in MR grade to ≤Mild (1+) in 90.7% of subjects at 30 days and 92.9% at 1 year was observed. 1-year-mortality was higher in the NYHA Class IV subjects compared with the NYHA Class I/II/III subjects (29.2% vs. 17.7%, P < 0.01). Significant improvement in functional capacity assessed by NYHA Functional Class and Quality of Life assessed through KCCQ score was observed. At 1 year, 72.6% of NYHA Class IV subjects improved to NYHA Class I/II and ΔKCCQ was 31.2 (24.1, 38.3) compared with baseline. CONCLUSION: In the prospective, real-world EXPAND study, MitraClip in patients with severe MR and NYHA Class IV was found to be safe and effective in treating MR, and significantly improving QoL and long-term clinical outcomes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".