Management of Infants Born to Pregnant Women with Reactive Syphilis Serology: Resource Saving from Using the Current Centers for Disease Control Guidelines
Bibliographic record
Abstract
Objective: There has been a marked increase in the number of infants admitted to neonatal intensive care units (NICUs) in Canada for treatment of congenital syphilis. We studied the impact on resource utilization from using the Centers for Disease Control (CDC) guidelines that allow use of a single-dose intramuscular benzathine penicillin G (BPG), as compared with 10-day course of intravenous penicillin G (PG), in infants considered at low risk for congenital syphilis. Study Design: This was a retrospective cohort study enrolling infants born to mothers with reactive syphilis serology and admitted for management to two Level 2 NICUs in Edmonton, Alberta, Canada, over a 2-year period. Data were extracted for key NICU resources that are used in managing these infants. We then estimated the resources that would be utilized if the entire cohort was managed per the current CDC guidelines. Results: Forty-nine infants met the study criteria of which 42 were treated with 10-day course of PG. Of these 42 infants, 21 (50%) met the CDC criteria for a single dose of BPG. The use of the CDC criteria to manage this cohort could have avoided 244 hospital days, 128 central line days, 168 antibiotic days related to congenital syphilis treatment, 23 long bones X-rays, and 17 lumbar punctures, for an estimated savings of CDC $ 263,000 to the provincial health system. Conclusion: Using the current CDC guidelines, half of the infants exposed to maternal syphilis and treated with a 10-day course of PG in our cohort could have been managed with a single dose of BPG, resulting in a significant saving of health care resources and in hospital costs. Key Points: · Cases of congenital syphilis have risen sharply in parts of Canada.. · Frequent admissions of such cases in the Canadian NICUs have aggravated bed capacity challenges.. · Applying the current CDC guidelines could reduce the NICU length of stay, the use of central lines, and other invasive procedures in this population..
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".