Factors for Severe Outcome in Scrub Typhus: A Hospital Based Study in Sub Himalayan Region.
Bibliographic record
Abstract
Background: Scrub typhus is a re-emerging zoonotic rickettsial infection. Mortality is approximately 15% in some areas due to missed or delayed diagnosis. There had been only few studies on the markers for the severity of the disease, so this study has been planned to provide the knowledge regarding various aspects of scrub typhus in adult age group to detect early signs of severity . Methods: All the patients more than 18 years of age admitted with febrile illness with positive IgM ELISA for scrub typhus with or without eschar were included in the study. The clinical profile was observed. The predictors of mortality were explored using univariate and multivariate analysis. Results: On linear regression analysis and logistic regression analysis altered sensorium, low serum albumin, hepatic dysfunction, renal dysfunction, septic shock, MODS, ARDS, duration of fever > 7 days, day of receiving treatment > 7 days at presentation were significantly associated with high in- hospital mortality. Conclusions: Early treatment with doxycycline should be instituted at the clinical suspicion of scrub pending investigation as it is life saving. Close follow up of the patient should be done to indentify subtle signs of organ dysfunction to start early supportive 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".