1171. Epidemiology of Old World Cutaneous Leishmaniasis among Members of the U.S. Military
Notice bibliographique
Résumé
Abstract Background Cutaneous leishmaniasis (CL) is a threat to U.S. Military personnel as they deploy to endemic areas. As treatment may require evacuation, CL undermines operations. Elucidating the epidemiology of CL in this population is key for prevention. Methods We retrospectively reviewed data from a CL sodium stibogluconate treatment trial at Walter Reed Army Medical Center, Washington DC. 412 military members with parasitologically confirmed CL and deployment to Southwest Asia from May 2002 - August 2004 enrolled. Subjects’ CL lesions were counted and measured. 334 subjects completed a risk survey. Given no control group, we used number of CL lesions (NL), total lesion area (TLA), and lesion location as outcomes to assess CL risks. Non-parametric tests and logistic regression were used as appropriate. Results Permethrin treated bed net use was associated with lower NL (p = 0.000), TLA (p = 0.024), and odds of head/face lesion (OR 0.12, p = 0.047). Sleeping in a combat uniform was associated with lower TLA (p = 0.000) and odds of leg/foot lesion (OR 0.39, p = 0.023). Use of a permethrin treated uniform (p = 0.002) and N,N-diethyl-meta-toluamide (DEET) insect repellent at night (p = 0.046) were associated with lower NL. Noting unit members with similar lesions was associated with higher NL (p = 0.007) and odds of head/face lesion (OR 12.1, p = 0.019). National Guard status followed by Active Duty was associated with higher NL (p = 0.002) and TLA (p = 0.000) than Reserve. Sleeping in a building was associated with higher TLA (p = 0.008) and odds of arm lesion (OR 2.28, p = 0.016). Sleeping near animal burrows was associated with higher NL (p = 0.031). Sleeping on a cot (p = 0.006), certain ethnicities (p = 0.020) and certain military occupational specialties (p =0.038) were associated with higher TLA. Increasing age (p = 0.001) and years of service (p = 0.000) were positively correlated with TLA. Conclusion This is the largest group of U.S. Military members with CL reported and provides insight into risks for CL which will guide preventive efforts to reduce the burden of illness in this population. The opinions and assertions expressed herein are those of the author(s) and do not reflect the official policy or position of the Uniformed Services University of the Health Sciences, the Department of Defense, or the U.S. Government. Disclosures Naomi E. Aronson, M.D., Elsevier: Royalties as text editor, honoraria for chapter writing|UpToDate: royalties for writing chapters.
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 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 | 0,001 | 0,002 |
| 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 | 0,001 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,002 |
| 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 ».