1171. Epidemiology of Old World Cutaneous Leishmaniasis among Members of the U.S. Military
Bibliographic record
Abstract
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.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".