First-in-Human Experience With the ModulHeart Device for Mechanical Circulatory Support and Renal Perfusion
Bibliographic record
Abstract
Background: ModulHeart (Puzzle Medical Devices Inc) is a modular device providing hemodynamic support through 3 endovascular pumps inserted in series and assembled in parallel into a self-expandable anchor implanted in the descending aorta. The current study evaluates the feasibility and safety of cardiorenal support with ModulHeart among patients undergoing high-risk percutaneous coronary intervention (PCI). Methods: This study was a prospective, single-center, first-in-human study. The primary end point was procedural success, defined as successful delivery, function, and removal of the ModulHeart device. Secondary end points included pump hemodynamics, cardiac hemodynamics, and urine output. Results: On June 28 and 29, 2022, 4 patients were enrolled and underwent high-risk PCI with ModulHeart implanted via transfemoral approach. All 4 patients achieved procedural success. The mean delivery time was 8 minutes, the mean support time was 49 minutes, and the mean pump removal time was 7 minutes. The mean pressure gradient across the pump was 5 ± 2 mm Hg. Under ModulHeart support, cardiac index increased by 25%, central venous pressure decreased by 37%, and left ventricular end-diastolic pressure decreased by 78%. Urine output increased by ∼9-fold after 15 minutes of support. No device malfunction or procedural or device-related adverse events occurred. There was no evidence of pump thrombosis. All 4 patients were alive at 30 days. Conclusions: This first-in-human study demonstrated the feasibility and safety of cardiorenal support with ModulHeart among patients undergoing high-risk PCI. ModulHeart demonstrated significant improvement in cardiac output, left ventricular end-diastolic pressure, and urine output. Future studies are planned to assess outcomes associated with ModulHeart support in patients with heart failure.
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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 | 0.006 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".