Local incidence of Jarisch–Herxheimer reaction in pregnancy following penicillin treatment for syphilis: A case series
Bibliographic record
Abstract
Background: The literature suggests that the Jarisch-Herxheimer (J-H) reaction following antimicrobial treatment of syphilis is common and may precipitate uterine activity. Local practice is to transfer syphilitic parturients beyond gestational age of viability from rural locations to a tertiary care centre for treatment. Study objectives were to delineate local incidence and risk factors for the J-H reaction among pregnant women receiving treatment for syphilis. Methods: A retrospective chart review was conducted on pregnant women diagnosed with syphilis and treated during pregnancy at a tertiary care centre between 2012 and 2018. J-H reaction was defined as having ≥1 of the following symptoms within 24 hours of antibiotic treatment: fever (temperature ≥38°C), clinical description of a painful or itchy skin lesion, headache, hypotension (systolic blood pressure <90 mmHg), uterine contractions, or fetal heart rate decelerations. Descriptive statistical analysis was performed with mean and median used as measures of central tendency for continuous and categorical data, respectively. Results: Fifty-eight charts were eligible for inclusion. Mean maternal age was 25.1 (SD 5.6) years, and mean gestational age was 20.4 (SD 9.5) weeks when syphilis was diagnosed. One patient (1/58, 1.7%) met J-H reaction criteria. Mean gestational age at delivery was 37.1 (SD 3.4) weeks. One stillbirth (1.7%) was identified. Conclusions: The J-H reaction is less common at our centre than the literature suggests. Further research is important to identify risk factors associated with J-H reaction to optimize resource allocation in the context of treatment of syphilis during pregnancy.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".