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Record W4411846565 · doi:10.3899/jrheum.2025-0314.52

Joint Recruitment – A Phenomenon of New-Onset Arthritis Following Initiation of Antibiotic Treatment for Lyme Arthritis

2025· article· en· W4411846565 on OpenAlexaffvenueabout
Elizabeth Stringer, Chelsea DeCoste, Bianca Lang, Adam M. Huber

Bibliographic record

VenueThe Journal of Rheumatology · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicVector-borne infectious diseases
Canadian institutionsIzaak Walton Killam Health CentreDalhousie University
Fundersnot available
KeywordsMedicineArthritisSeptic arthritisInternal medicineIncidence (geometry)CohortRheumatologyAntibioticsLyme diseaseSurgeryPediatricsPhysical therapyImmunology

Abstract

fetched live from OpenAlex

Objectives Lyme arthritis (LA), a manifestation of late disseminated Lyme disease (LD), is a common presentation of LD in children.[1] A complete response to 1-2 courses of antibiotics occurs in most patients; however, 10-15% can have persistent arthritis in the presenting joint(s), termed post-infectious LA.[2] Another phenomenon, which has been called “joint recruitment,” describes new-onset arthritis in a joint(s) after antibiotic therapy has been initiated or completed.[3] The objectives of this study were to describe the incidence and clinical course of joint recruitment in a cohort of children with LA. Methods Patients (<18 yo) with a diagnosis of LA (Jan 2008-Sept 2023) were identified from the pediatric rheumatology clinical database at IWK Health in Halifax, Nova Scotia. Medical charts were reviewed and those who experienced new onset arthritis beyond the presenting joint(s), following initiation of antibiotic therapy, were identified. Descriptive statistics are described. Results Of 245 patients, the incidence of joint recruitment was 5.7%; 9 males/5 females with a mean age of 11.9 years (range 4-16). All patients were initially treated with a standard course of 28 days of oral antibiotics. In 13/14 (93%) a single knee was the presenting joint. In 11/14 cases (79%), 1 joint was recruited (6 knee, 3 elbow, 1 wrist, 1 shoulder). Timeline varied from within a few days of starting the first course of antibiotics to following 2 months of oral and/or IV antibiotics (Figure 1). When joint recruitment occurred, the presenting joint with arthritis had resolved or improved in 9/14 (64%). 8/14 (57%) received another course of antibiotics at the time of joint recruitment; treatment for the remainder was variable (intraarticular steroid injection (IAS), NSAID, observation, synovectomy). All patients had complete resolution of their LA at last follow-up, except for 1 patient who, 6 months from initiation of antibiotics, continues to have ongoing arthritis in both the presenting joint and recruited joint following 3 months of antibiotics (2 courses oral, 1 course ceftriaxone) and IAS of affected joints (knee, ankle). Figure 1. Representation of Timing of Joint Recruitment Conclusion The study aims to raise awareness around atypical cases of LA in children. To our knowledge, this is the first study to report the incidence (5.7%) of joint recruitment. Overall, patients had excellent outcomes despite different treatment approaches. It is unclear as to whether joint recruitment is driven by persistent active infection versus immune dysregulation triggered by infection, the latter hypothesized to be the underlying mechanism of post-infectious LA. [1.] Ogden N. Ticks Tick Borne Dis 2020;11(2):101347. [2.] Arvikar SL. Infect Dis Clin North Am 2015;29(2):269-80. [3.] Horton D. J Rheumatol 2019;46(8):943-51.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.035
GPT teacher head0.287
Teacher spread0.252 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2025
Admission routes3
Has abstractyes

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