Reduced frequency of blood donors with false‐positive HIV‐1 and ‐2 antibody EIA reactivity after elution of low‐affinity nonspecific natural antibodies
Bibliographic record
Abstract
BACKGROUND: The detection by EIA of antibodies (Abs) specific to HIV antigens in the serum of blood donors is important for transfusion safety. A small but significant number of donor sera (0.1-0.3%) yield false-positive results in EIA, and these donors must be permanently deferred from the blood donor list, causing operational and public relations problems. STUDY DESIGN AND METHODS: False-positive EIA reactions could be caused by the binding of low-affinity natural polyreactive Abs, which could be eluted by treatment with a chaotropic agent such as thiocyanate (SCN). The effect of the SCN elution on EIA specificity was studied using tetanus toxoid and HIV Abs. RESULTS: SCN elution preferentially reduced the binding of nonspecific Abs. Testing of 235 seronegative samples in HIV-1 and -2 EIA showed that SCN elution reduced the mean and dispersion of OD values obtained. In addition, SCN elution abolished the false-positive reactivity in HIV-1 and -2 EIA of 69 percent (299/435) of the repeatedly reactive specimens tested without impact on the reactivity of HIV-seropositive specimens. CONCLUSION: The SCN elution step increased the specificity of HIV-1 and -2 EIA and could facilitate the re-entry of previously deferred donors.
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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) | 0.001 | 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) | 0.000 | 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 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".