Vascular progenitor recruitment in critically ill patients with acute kidney injury
Bibliographic record
Abstract
PURPOSE: Endothelial-like vascular progenitor cells (VPCs) are blood-derived angiogenic precursors that can facilitate vascular repair. The mobilization of peripheral blood VPCs and their role in recovery were investigated in patients with acute kidney injury (AKI) in the intensive care unit (ICU) setting. METHODS: Blood samples were drawn on days 0, 3, 7 and 14 in 38 patients admitted to ICU: 30 with AKI and in eight controls with normal renal function. Circulating VPC levels were quantified by the early outgrowth cell cluster-forming assay and/or by flow cytometry. RESULTS: AKI patients (16 males, mean age 62.4) were classified as Risk (R, n=5), Injury (I, n=11) and Failure (F, n=14) according to the RIFLE criteria. VPC clusters increased over time following the diagnosis of AKI (p < 0.01 for day 0 vs. day 14) while VPC clusters were higher at enrollment in control patients and decreased over time (p=0.02). Greater mobilization of VPCs occurred in patients with more severe AKI at enrollment (I and F categories compared with R, p=0.05). A trend towards greater mobilization of VPC clusters was observed in patients with improved renal function (p=0.07). CONCLUSION: Time-dependent increases in circulating VPCs occur in critically ill patients with established AKI. Greater mobilization of VPCs may be associated with recovery of renal function, suggesting a potential role for VPCs in repair after kidney injury.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".