Autologous CD133+ Cells and Laser Revascularization in patients with severe Ischemic Cardiomyopathy
Bibliographic record
Abstract
Abstract Objective: We tested the hypothesis that targeted TMLR combined with intramyocardial injection of autologous CD 133+ endothelial progenitor cells is safe and feasible in patients with chronic ischemic cardiomyopathy (ICM) and no revascularization options. Methods: Eight male patients (age 62 ± 2.4 years) with multivessel severe ischemic heart disease and no revascularization options were enrolled. Autologous CD 133+ endothelial progenitor cells were derived and purified from the bone marrow on the day of surgery using the clinical-grade closed CliniMACS system. Using a lateral thoracotomy approach, TMLR was performed, followed by transmyocardial transplantation of purified CD133+ cells (mean number of transplanted cells: 12.5 x106) in the region surrounding the TMLR sites. These sites were selected based on ischemia on pre-procedure perfusion imaging. We performed clinical and myocardial perfusion imaging pre-procedure and then at 6- and 12-month follow-up. Results: No major complications or death occurred during the procedure or during the peri-operative hospital stay. One patient died of cardiac cause 6 months post-procedure. There was a reported short-term improvement in anginal and heart failure symptoms and a modest reduction in the ischemic score as assessed by perfusion imaging. Conclusions: Our phase 1 clinical study examining the combination therapy of targeted transmyocardial laser revascularization therapy and autologous CD133+ endothelial progenitor cells in patients with chronic ICM and no revascularization options demonstrates the feasibility and short-term safety of this combined approach and warrants future larger phase 2 randomized clinical studies.
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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 | 0.000 |
| 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) | 0.001 | 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".