S11.2 Which algorithm performs better, screening with a non-treponemal or treponemal test?
Notice bibliographique
Résumé
Background A growing number of diagnostic laboratories have recently adopted treponemal EIA tests that permits automation for syphilis screening thus reducing time and labor. This leads to a reverse sequence approach of screening in which an EIA is performed first, followed by testing of reactive sera with a non-treponemal test. The province of Quebec implemented two revised algorithms for syphilis testing on 1 February 2010. The first algorithm (Algo 1) is adapted for low throughput laboratories who initiate testing with a non-treponemal test while the second (Algo 2), which is adapted for high throughput settings, follows the reverse sequence approach. Using these recently implemented algorithms in Quebec, the performance the reverse sequence algorithm will be discussed. Methods The performance algorithms 1 and 2 has been evaluated with a retrospective analysis of all sera sent by diagnostic laboratories to our reference laboratory for treponemal confirmation between 1 February 2010 and 31 January 2011. Positive sera by both EIA and RPR were not submitted for confirmation. Results A total of 3662 sera were sent for confirmation during the study period. Only sera from patients not known to have a previous positive treponemal test were analysed. Among the 929 RPR positive or indeterminate sera screened by Algo 1, only 315 (34%) were positive by TP-PA. Among the 904 EIA positive/RPR negative sera screened by Algo 2, 525 (58%) were positive, 333 (37%) were negative and 46 (5%) were indeterminate by TP-PA. The TP-PA negative or indeterminate sera were further tested using a line immunoassay. Among these 379 sera, 35 (9%) were positive and 108 (28%) were indeterminate by line immunoassay. The overall proportion of false positive EIA when reflex RPR test is negative (Algo 2) was 38% compared to a proportion of 66% (614/929) of false positive results when RPR is used as the first screening assay (Algo 1). Conclusion The higher rate of false positive when sera are screened with Algo 1 can be explained by a low prevalence setting. The high rate of false positive EIA when RPR test is negative (Algo 2) confirms the need to reflexively test all such sera with at least a second treponemal test. Although most EIA positive/RPR negative/TP-PA negative sera truly are false positive EIA results, a second treponemal confirmatory test helps identifying more true-positive EIA positive/RPR negative sera, though more data are needed to generally recommend this approach.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».