Neoangiogenesis after direct intramyocardial implantation of bone marrow-derived stem cells in a patient with severe coronary artery disease ineligible for percutaneous or surgical revascularization
Bibliographic record
Abstract
Abstract Bone marrow-derived stem cells (BMSC) may be an alternative for the treatment of patients with severe coronary artery disease ineligible for either percutaneous or surgical revascularization. This case report presents a 65-year-old male patient with untreatable angina pectoris (Canadian Cardiovascular Society Class III) and severe coronary artery disease. A mixture of BMSC containing approximately 3×106 CD34+ cells was directly injected into preoperatively determined ischemic regions of the myocardium by median sternotomy. At baseline, at 3 months, and at 1 year of follow-up, echocardiography (demonstrating wall motions of 16 segments), single-photon emission computed tomography, and coronary angiography (at baseline and at 1 year) were performed to assess myocardial perfusion, left ventricular (LV) function and coronary anatomy. The patient reached Canadian Cardiovascular Society Class I after 6 months of cell implantation. The ejection fraction increased from 34% to 37% at the third month and 40% at 1 year of follow-up. At 1 year of follow-up, preoperatively akinetic mid-base septum and anteroseptal regions progressed to mild hipokinesia and severe hypokinetic mid-base-apical anterior regions and apical lateral-inferior regions became normokinesia. Single-photon emission computed tomography revealed a visible improvement in anterior and lateral segments at 1 year of follow-up. Coronary angiography showed newly developed collateral arteries at 1 year of follow-up. BMSC transplantation in a patient with severe coronary artery disease resulted in increase of LV ejection fraction, an increase of the perfusion of ischemic myocardial regions, and improvement in wall motion defects without any adverse events.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".