GeoSentinel Analysis of Travelers’ Diarrhea Antimicrobial Resistance Patterns
Notice bibliographique
Résumé
Importance: Diarrheal disease causes substantial morbidity in international travelers. Knowledge of antibiotic resistance of causative pathogens helps guide empiric treatment decisions. Objective: To characterize antimicrobial nonsusceptibility patterns of culture-confirmed Campylobacter species, nontyphoidal Salmonella (NTS) species, Shigella species, and diarrheagenic Escherichia coli isolated from international travelers with diarrhea identified by the GeoSentinel Surveillance Network. Design, Setting, and Participants: This is a retrospective cross-sectional analysis of antimicrobial susceptibility data for 4 major pathogens causing travel-associated diarrhea, reported from April 14, 2015, to December 19, 2022, at 58 of 71 international GeoSentinel sites. Participants included a convenience sample of international travelers with acute diarrhea seen during or after travel presenting at the GeoSentinel sites. Main Outcomes and Measures: The main outcomes were demographics, clinical characteristics, and antimicrobial susceptibility profiles of patients with culture-confirmed Campylobacter species, NTS species, Shigella species, and diarrheagenic E coli species. Routinely collected antimicrobial susceptibility data with intermediate susceptibility and resistant were defined as nonsusceptible. The antimicrobial susceptibility test results were described as numbers and percentages, and binomial 95% CIs were calculated for the proportions. Results: Of 859 total cases, the median (IQR) age was 30 (23-43) years, and 440 travelers (51%) were male. Among Campylobacter isolates, nonsusceptibility to fluoroquinolones was found in 206 of 274 isolates (75%; 95% CI, 70%-80%), and nonsusceptibility to macrolides was found in 30 of 255 isolates (12%; 95% CI, 8%-16%) and was highest in travelers to South Central Asia (45 of 51 isolates; 88%; 95% CI, 76%-96%). Among NTS species, 96 of 302 isolates (32%; 95% CI, 27%-37%) were nonsusceptible to fluoroquinolones, 18 of 111 isolates (16%; 95% CI, 10%-24%) were nonsusceptible to macrolides, and 15 of 273 isolates (5%; 95% CI, 3%-9%) were nonsusceptible to third-generation cephalosporins. For Shigella species, 44 of 196 isolates (22%; 95% CI, 17%-29%) were nonsusceptible to fluoroquinolones, and 36 of 103 isolates (35%; 95% CI, 26%-45%) were nonsusceptible to macrolides. For E coli, fluoroquinolone nonsusceptibility was 18% (12 of 66 isolates; 95% CI, 10%-30%). Of note, 19 of 24 Shigella isolates (79%; 95% CI, 58%-93%) were nonsusceptible to fluoroquinolones among travelers to South Central Asia, and 29 of 37 Shigella isolates (78%; 95% CI, 62%-90%) were nonsusceptible to macrolides among travelers to South America. Conclusions and Relevance: In this cross-sectional study of travelers' diarrhea antimicrobial resistance patterns, there was marked variability of nonsusceptibility to 2 major classes of antibiotics commonly used for treating travelers' diarrhea among global regions. Antimicrobial susceptibility from culture should be obtained when possible, including after pathogen detection by culture-independent methods. These findings may help inform strategies for self-treatment and clinician management of travelers' diarrhea.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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 | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,002 |
| 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 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 ».