Associations between West Nile virus infection and symptoms reported by blood donors identified through nucleic acid test screening
Bibliographic record
Abstract
BACKGROUND: Blood collected in the United States and Canada is screened for West Nile virus (WNV) using nucleic acid testing (NAT). The role that donor-reported symptoms of infection disclosed at or shortly after donation may play in enhancing blood safety has been debated. Little data are available on subsequent manifestations of WNV-specific disease outcomes in viremic donors. STUDY DESIGN AND METHODS: Donors with initially reactive NAT results were informed by telephone and asked to complete symptom interviews. The questionnaires are focused on three time periods: the week before, the day of, and the 2 weeks after donation. Symptoms and risk factors were compared between confirmed-positive and false-positive donors (classified based on confirmatory NAT and serology). Additional analyses comparing confirmed-positive symptomatic and asymptomatic donors were conducted. RESULTS: A total of 423 of 536 initially reactive donors were interviewed between 2003 and 2006: 292 confirmed-positive for WNV and 131 false-positive. Individual symptoms were not significant predictors of WNV infection, except skin rash in the week before donation (odds ratio [OR], 3.0; 95% confidence interval [CI], 1.2-7.9) and body aches in the period after donation (OR, 2.8; 95% CI, 1.1-7.4). Specific combinations of symptoms were not good predictors of infection, but donors with three or more concurrent symptoms before donation were more likely to have WNV infection (OR, 2.5; 95% CI, 1.2-5.1). Demographic characteristics, predonation symptoms, and serology profiles in confirmed-positive donors did not predict postdonation symptom severity. Thirty-five confirmed-positive donors (12%) sought medical care for WNV infection, with two hospitalizations, but no cases of neuroinvasive disease. CONCLUSION: The number rather than type of symptoms is associated with confirmed WNV infection, but the overall predictive value is low. Very few infected donors develop clinically significant disease.
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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) | 0.000 | 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".