Clinical and Laboratory Presentations of Leptospirosis Patients in North of Iran
Bibliographic record
Abstract
Leptospirosis is a zoonosis that common in warm and tropical regions with global spread and it is an occupational disease. The aim of recent study was to evaluate the clinical and Para clinical findings of leptospirosis patients in Babol, northern of Iran. In this cross-sectional study, 118 patients with high suspicion to leptospirosis admitted to hospitals of Babol University of Medical Sciences, Babol, Iran, during 2009 -2011. Thirty one cases with positive finding (IFA) were enrolled as definitive Patients. Clinical and Para clinical data for all patients were recorded. The mean age of the confirmed patients (male: 71%, rural: 90.5%) was 48.5 years (range 18-80 years old). The commonest chief complaints were fever (71%) and ichter (19%) and among the clinical features of them fever (90.5%), gastro intestinal signs (80.5%), ichter (71%) and headache(68%) was the most prevalent ones. Weil's syndrome occurred in 10 (32%) patients. Thrombocytopenia and leukocytosis were noticed in 80.5% and 42% of the patients respectively. Transaminases in 80.5% of cases were above the normal upper limit. Based on current study, the most of leptospirosis patients were farmers and presented in hot seasons. The commonest clinical and laboratory pattern of this disease in our region was fever, ichter, myalgia and headache in conjunction with Mild elevations in levels of transaminases and thrombocytopenia that can be used as a good marker in early clinical diagnosis and treatment.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".