[First experience with the use of bone marrow stem cells for regeneration therapy of ischemic heart disease.].
Bibliographic record
Abstract
AIM: To elucidate feasibility of the use of autologous bone marrow stem cells in candidates to myocardial revascularization- patients with ischemic heart disease and cardiosclerosis after myocardial infarction. METHODS: Between January 2003 and January 2004 25 men aged 56.3+/-5.4 years with ischemic heart disease were subjected to cell therapy including 4 patients with heart failure and 5 - with acute coronary syndrome. Subgroup of patients with postinfarction cardiosclerosis consisted of 16 men satisfying the following criteria: (1) history of myocardial infarction with scar formation; (2) class III-IV angina; (3) presence of indications for endovascular or surgical intervention on coronary arteries. Study protocol included clinical examination, coronary angiography; dobutamine stress-, contrast- and tissue echocardiography with assessment of segmental myocardial perfusion, systolic and diastolic left ventricular function. RESULTS: There were no complications during bone marrow sampling and administration of cells. All patients were restudied 1 month after transplantation. Improvement of clinical state without complications and adverse effects of the procedure noted in all patients was associated with lowering of mean angina class (from 3.4 to 1.4, p<0.05); decrease of NYHA heart failure class (from 3.1 to 1.5); rise of left ventricular ejection fraction (from 42.9 to 56.3%); decrease of average number of asynergic segments (from 5.3+/-0.7 to 2.1+/-0.3, p<0.01). Systolic velocity before intervention was 2.3 cm/s, after procedure in segments subjected to isolated revascularization it increased up to 4.8 cm/s, while in those subjected to revascularization combined with administration of stem cells - up to 6.2 cm/s. Contrast echocardiography in 9 patients demonstrated augmented myocardial perfusion in regions exposed to cell therapy. CONCLUSION: Transplantation of autologous bone marrow stem cells to ischemic heart disease patients - candidates for myocardial reperfusion - turned out to be safe and well tolerated procedure. Combination of myocardial revascularization with administration of stem cells into regions of postinfarction scars was associated with improvement of total and local myocardial contractility and normalization of left ventricular diastolic filling. Cell therapy facilitated augmentation of myocardial perfusion.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".