Abstract 16161: Bone Marrow Characteristics are Associated With Changes in Infarct Size Following STEMI: A Biorepository Evaluation From the CCTRN TIME Trial
Bibliographic record
Abstract
OBJECTIVE: Despite significant interest in bone marrow cell mononuclear cell (BMC) therapy for ischemic heart disease, current techniques have shown only modest benefit. However, select patients show improvements after autologous BMC therapy for unknown reasons. The purpose of this study was to identify BMC characteristics associated with infarct size reduction following STEMI. METHODS: This study evaluated prospectively the cohort of patients enrolled in the CCTRN TIME trial who agreed to their BMCs being stored and used for further analyses at the CCTRN Biorepository. Analyses were pre-specified and the core laboratories were blinded to clinical data and treatment assignments. The changes in infarct size between baseline (three days after PCI) and 6 months was measured by cMRI. BMC product underwent phenotype analysis using FACS identifying cells expressing CD45, CD34, CD31, CD133, CXCR4, CD3, CD11, CD14, and CD19 and functional analysis with the CFU-Hill, ECFC and CFU-F assays. RESULTS: Quantification of BMC characteristics and infarct size was available in 101 patients. The patients’ mean age was 56.5 years, with a mean screening ejection fraction of 37% and mean baseline cMRI ejection fraction of 45%. At 6 months, 75 (74.3%) patients had reductions in infarct size (mean -21.0% ± 17.6%). Multiple regression analysis revealed that, regardless of treatment allocation, an increased percentage of BMC that expressed CD31 (p=0.046) was associated with greater reductions in infarct size. Greater reductions in infarct size also were associated with more rapid growth rates for BMC functional assays (CFU-Hill, ECFC) (p=0.033, p=0.032, respectively). CONCLUSIONS: This study demonstrates a correlation between characteristics of BMCs in the acute STEMI phase and subsequent changes in infarct size. These data suggest that resident BMCs (specifically, endothelial precursors) play an important role in regenerating infarcted myocardium irrespective of treatment with autologous BMC transplantation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".