Sensitivity of Rapid Influenza Diagnostic Testing for Swine-Origin 2009 A (H1N1) Influenza Virus in Children
Bibliographic record
Abstract
BACKGROUND: The rapidly evolving pandemic of novel 2009 swine-origin influenza A (H1N1) virus (S-OIV) demands that accurate and practical diagnostics be urgently evaluated for their potential clinical utility. OBJECTIVE: To determine the diagnostic accuracy of a rapid influenza diagnostic test (RIDT) and direct fluorescent antibody (DFA) assay for S-OIV by using reverse-transcription polymerase chain reaction (RT-PCR) as the reference standard. METHODS: We prospectively recruited children (aged 0-17 years) assessed in the emergency department of a pediatric referral hospital and a community pediatric clinic for influenza-like illness between May 22 and July 25, 2009. RIDT (performed on-site) and DFA were compared with RT-PCR to determine their sensitivity and specificity for S-OIV. We also compared the sensitivity of RIDT for S-OIV to that for seasonal influenza over 2 preceding seasons. RESULTS: Of 820 children enrolled, 651 were from the emergency department and 169 were from the clinic. RIDT sensitivity was 62% (95% confidence interval [CI]: 52%-70%) for S-OIV, with a specificity of 99% (95% CI: 92%-100%). DFA sensitivity was 83% (95% CI: 75%-89%) and was superior to that of RIDT (P < .001). RIDT sensitivity for S-OIV was comparable to that for seasonal influenza when using DFA supplemented with culture as the reference standard. RIDT sensitivity for influenza viruses was significantly higher in children 5 years of age or younger (P = .003) and in patients presenting < or =2 days after symptom onset (P < .001). CONCLUSIONS: The sensitivity of RIDT for detection of S-OIV is higher than recently reported in mixed adult-pediatric populations but remains suboptimal.
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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 | 0.002 | 0.053 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".