Cholera rapid diagnostic tests at the host-microbe interface: Key Considerations for Global Deployments
Notice bibliographique
Résumé
ABSTRACT Background Effective cholera outbreak response requires accurate bedside rapid diagnostic tests (RDTs) because access to laboratories is often limited. Formative studies suggest cholera diagnostics have multiple vulnerabilities, including antibiotics and predation by bacteriophage (‘phage’) specific to Vibrio cholerae ( Vc ). Methods We conducted a prospective nationwide study in Bangladesh among over 2000 patients with diarrhoeal disease to characterize how these vulnerabilities impact RDT performance. Assays included culture, qPCR and mass spectrometry. Findings With the current gold standard of culture or qPCR Vc positivity, we found no effect of phage on RDT performance. When the diagnostic criteria were expanded to include phage, there was a small decrease in RDT sensitivity. In contrast, large increases in sensitivity and specificity were observed among patients with moderate and severe dehydration. Using the expanded definition, the odds of RDT positivity decreased among cholera patients with phage exposure. The effect was most robust among patients with severe dehydration. Antibiotic were detected in over 80% of samples by LC-MS/MS which limited testing for effects on RDTs. Applying these findings, we estimated that restricting RDT use to severe patients with no reported antibiotic exposure increases sensitivity by 50% compared to unrestricted use. If phage were a diagnostic proxy for Vc , we estimate RDT would miss an additional 17% of cholera cases. Interpretation Cholera RDTs have critical limitations that require consideration in global deployments. Inclusion of phage detection in diagnostic criteria may improve case detection which requires further study. The impact of these findings likely extends to other diseases where diagnostics share similar vulnerabilities. RESEARCH IN CONTEXT Evidence before this study We conducted two Pubmed searches for reports published after Jan 1, 2000, in all languages. The first search terms were [bacteriophage OR phage] AND [pathogen] AND [diagnostic test]. The primary search criteria identified 57 publications. A secondary criterion excluded reviews and papers on phage display technology. Among twenty remaining articles, bacteriophage were used as proxies for pathogens within diverse genera (Yersinia, Mycobacterium, Burkholderia, Staphylococcus, Salmonella, Bacillus, Escherichia, Acinetobacter, Vibrio); phage profiles were also used as biomarkers for infection. The second search terms were [rapid diagnostic test OR RDT] AND [Vibrio]. After excluding reviews, 101 papers were identified that covered immunologic (antibody-based lateral flow assays), molecular (PCR, qPCR, nl-qPCR) and mass spectrometry-based assays; only 5 articles related to vibriophage detection of which three were permutations of the same initiative. Added value of this study To our knowledge, this is the first study to investigate the vulnerabilities of RDT performance (e.g., sensitivity and specificity) to virulent bacteriophage and antibiotics in a large multi-site study. The hypothesis that antimicrobials and disease severity might impact RDT performance by decreasing or increasing the target number, respectively, is not novel. However, there is a lack of literature from large clinical studies that rigorously tests this hypothesis. Therefore, the added value of this study is a pragmatic evaluation of this hypothesis and a proof of concept for how to test these complex questions for other less tractable diseases. Implications of all the available evidence Inside the cholera field, we applied the findings by estimating that changing to a mode of restricted RDT use in which RDTs are reserved for severely dehydrated patients who report no antibiotic exposure, significantly improves the sensitivity. Furthermore, we estimate that an additional 17% of cases would be missed by RDT if the case definition were expanded to include phage detection as a proxy for the pathogen. In this context, the RDT remains with limitations that require consideration when optimizing global RDT deployments. Implications likely extend to other diseases where diagnostics share similar vulnerabilities.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,060 | 0,100 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,003 |
| Communication savante | 0,007 | 0,008 |
| Science ouverte | 0,004 | 0,005 |
| Intégrité de la recherche | 0,004 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,011 | 0,004 |
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 source (Gemma direct ou Codex distillé), 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 ».