Clinical characteristics, treatment and outcome of children with Lyme arthritis in Nova Scotia
Bibliographic record
Abstract
BACKGROUND: Lyme disease is an emerging problem in Nova Scotia. Lyme arthritis is a late manifestation of Lyme disease. OBJECTIVE: To describe the demographic characteristics, referral patterns and clinical course of children diagnosed with Lyme arthritis in a tertiary care pediatric rheumatology clinic in Nova Scotia. METHODS: In the present retrospective chart review, subjects diagnosed with Lyme arthritis between 2006 and 2013 were identified through the clinic database. Demographic variables, referral patterns, clinical presentation and information regarding treatment course and outcome were collected. RESULTS: Seventeen patients were identified; 76% presented in 2012 and 2013. In 37.5% of cases, the referring physician suspected Lyme disease. Most patients presented with one or more painful and/or swollen joints; 94% had knee involvement. Only three of 17 patients had a history of erythema migrans and four of 17 recalled a tick bite. Five patients had a history of neurological manifestations consistent with Lyme disease, although, none had a diagnosis made at the time. Arthritis usually resolved after treatment with standard antibiotics; however, at last follow-up, two patients had antibiotic refractory Lyme arthritis, with one having joint damage despite aggressive arthritis treatment. CONCLUSION: A significant increase in cases of Lyme arthritis has recently been recognized in a pediatric rheumatology clinic in Nova Scotia. A history of a tick bite or erythema migrans were not sensitive markers of Lyme arthritis, and this diagnosis was often not considered by the referring physician. Educational initiatives should be undertaken to increase local awareness of this treatable cause of arthritis in children.
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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 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 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".