Exploring management of antenatally diagnosed fetal syphilis infection
Bibliographic record
Abstract
Background: The incidence of syphilis among Canadian women of childbearing age has risen dramatically in the past decade, with a resurgence of infants born with congenital syphilis. While guidelines exist to guide maternal infection during pregnancy, there is little evidence available to guide management in situations where the developing fetus is found to be severely affected. Case review: Our patient presented in the second trimester of her pregnancy as syphilis contact. Positive serologic tests (venereal disease research laboratory titre of 1:64) and a chancre suggested primary infection. Ultrasound demonstrated a fetus at 19+3 weeks gestation with hydrops fetalis and a markedly abnormal brain. Amniocentesis confirmed congenital syphilis infection on polymerase chain reaction testing. After nine days of intravenous penicillin G, the fetal status had worsened, and the family ultimately chose a medical termination of the pregnancy. Discussion: Evolving ultrasound technology has allowed us to identify severely affected fetuses, who may historically have been delivered stillborn. Following routine syphiliotherapy with benzathine penicillin, these abnormal ultrasound features may take weeks or months to reverse, which poses a challenge in prognostication and counselling. Case reports data suggests intensive treatment with intravenous penicillin may be effective in severe cases where fetal hydrops is present. Conclusion: This case highlights the potential morbidity of fetal syphilis infection and underscores the paucity of current literature. Information sharing will be essential to build a modern knowledge base on treating this ancient disease.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".