Autologous Concentrate Bone Marrow Cell Therapy for Ischemic Cardiomyopathy Unsuitable for Revascularization: Feasibility Study
Bibliographic record
Abstract
Stem Cells, platelets, and cytokines cooperate to repair ischemic myocardium. Autologous bone marrow aspirate concentrate (BMAC), obtained using a point of care device, has all the component in their natural plasma environment. Objectives: To assess the feasibility and safety to harvest and implant BMAC, in the same session, into myocardium via left anterior thoracotomy, in patients with untreatable ischemic cardiomyopathy. Methods: presence of viable myocardium was assessed with dobutamine echocardiography. Segments ischemic/hibernated were: apical anterior, medial anterior, apical lateral, medial, basal lateral. Bone marrow harvested from iliac crest and centrifuged with a point of care device, was implanted through left anterior thoracotomy into hibernated myocardium (20 injections, 1 ml each). Segments treated were: medial anterior (10 ml), medial and basal lateral (10 ml). Results: five patients with untreatable coronary artery disease (CAD) underwent BMAC implantation; four patients had ischemic congestive heart failure, one had Canadian class III angina. All patients completed one-year follow-up; three patients had history of AMI, 2 had coronary revascularization; 5 patients were in New York Heart Association functional class III/IV; all pts had a mean of 3 hospital admission; at follow-up they were in class I/II. EF% improved by 14%, 19% and 30% at 3, 6, 12 months follow-up (p = 0.008). Variation of cardiac echocardiographic parameters, demonstrate similar improvement. Conclusion: In 5 patients with ischemic cardiomyopathy treated with BMAC, EF, NYHA class and quality of life are improved. Further studies are necessary to confirm these results.
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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 | 0.001 |
| 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) | 0.002 | 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".