Severe Acute Respiratory Syndrome in Pregnancy
Bibliographic record
Abstract
In Brief BACKGROUND: There is limited worldwide experience with severe acute respiratory syndrome (SARS) in pregnancy. We present a case of SARS complicating pregnancy in the third trimester, with outcome data on both the mother and baby. CASE: A 33-year-old gravida 2 para 1 fulfilling the World Health Organization case definition for probable SARS was admitted to our institution at 31 weeks of gestation with fever, a dry cough, and patchy infiltrates on chest X-ray. The patient was previously healthy and acquired SARS from close contact with an infected family member. Convalescent serology results were positive for antibodies to coronavirus. She stayed in hospital for 21 days and did not require intensive care admission or ventilatory support. Labor occurred spontaneously at term, and a healthy female baby was delivered with no evidence of infection. CONCLUSION: Severe acute respiratory syndrome in pregnancy is a potentially life-threatening illness with complicated management issues. Hospitalization and care by a multidisciplinary team may optimize chances for a good outcome. Severe acute respiratory syndrome in pregnancy represents a life-threatening illness with complicated management issues, and hospitalization with care by a multidisciplinary team may optimize chances for a good outcome.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
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".