Mid term results after bone marrow laser revascularization for treating refractory angina
Bibliographic record
Abstract
BACKGROUND: To evaluate the midterm results of patients with angina and diffuse coronary artery disease treated with transmyocardial revascularization in combination with autologous stem cell therapy. METHODS: Nineteen patients with diffuse coronary artery disease and medically refractory class III/IV angina were evaluated between June 2007 and December 2009 for sole therapy TMR combined with intramyocardial injection of concentrated stem cells. At the time of surgery, autologous bone marrow (120cc) was aspirated from the iliac crest. A cardiac MRI and an isotopic test were performed before and after the procedure. Follow-up was performed by personal interview. RESULTS: There were no perioperative adverse events including no arrhythmias. Mean number of laser channels was 20 and the mean total number of intramyocardially injected cells per milliliter were: total mononuclear cells(83.6 × 10(6)), CD34+ cells(0.6 × 10(6)), and CD133+ cells(0.34 × 10(6)). At 12 months mean follow-up average angina class was significantly improved (3.4 ± 0.5 vs 1.4 ± 0.6; p = 0.004). In addition, monthly cardiovascular medication usage was significantly decreased (348 ± 118 vs. 201 ± 92; p = 0.001). At six months follow up there was a reduction in the number of cardiac hospital readmissions (2.9 ± 2.3 vs. 0.5 ± 0.8; p < 0.001). MRI showed no alterations regarding LV volumes and a 3% improvement regarding ejection fraction. CONCLUSIONS: The stem cell isolator efficiently concentrated autologous bone marrow derived stem cells while the TMR/stem cell combination delivery device worked uneventfully. An improvement in clinical status was noticed in the midterm follow-up. Images test showed no morphological alterations in the left ventricle after the procedure.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".