CD4 Count in HIV− Brain-Dead Donors
Bibliographic record
Abstract
BACKGROUND: The Human Immunodeficiency Virus (HIV) Organ Policy Equity Act allows for transplantation of organs from HIV-infected individuals (HIV+), provided it is performed under a research protocol. The safety assessment of an organ for transplantation is an essential element of the donation process. The risk for HIV-associated opportunistic infections increases as circulating CD4+ lymphocytes decrease to less than 200 cells/μL; however, the numbers of circulating CD4+ cells in the HIV-negative (HIV-) brain-dead donor (BDD) is not known. METHODS: Circulating T-lymphocyte subset profiles in conventional HIV- BDD were measured in 20 BDD in a clinical laboratory. RESULTS: The mean age of the BDD cohort was 48.7 years, 95% were white and 45% were women. The average body mass index was 29.2 kg/m. Cerebrovascular accident (40%) was the most prevalent cause of death. Sixteen (80%) subjects had a CD4 count ≤441 cells/μL (lower limit of normal) and 11 (55%) had a CD4 count less than 200 cells/μL; 11 (55%) subjects had a CD8 count ≤125 cells/μL (lower limit of normal). CD4/CD8 ratio was below normal in 3 patients (normal, 1.4-2.6). No recipient had a recognized donor-associated adverse event. CONCLUSIONS: Absolute numbers of CD4 and CD8 T-lymphocytes are commonly reduced after brain death in HIV- individuals. Thus, CD4 absolute numbers are an inconsistent metric for assessing organ donor risk, irrespective of HIV status.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.004 |
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 teacher head, 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".