Screening, Diagnosis, and Management of Cytomegalovirus Infection in Pregnancy
Bibliographic record
Abstract
UNLABELLED: Congenital cytomegalovirus (CMV) is the most common intrauterine infection and the leading infectious cause of sensorineural hearing loss and mental retardation. This article reviews the issues that relate to the diagnosis and management of this disease, detailing the points that led to the recent published guidelines by the Society of Obstetricians and Gynaecologists of Canada. A MEDLINE/Cochrane search of CMV infection, pregnancy, and prenatal diagnosis found 195 studies between 1980 and 2010. Of these, we examined 59 relevant studies. The probability of intrauterine transmission following primary infection is 30% to 40%, but only 1% after secondary infection. About 10% to 15% of congenitally infected infants will have symptoms at birth, and 20% to 30% of them will die, whereas 5% to 15% of the asymptomatic infected neonates will develop sequelae later. Children with congenital CMV infection following first trimester infection are more likely to have central nervous system sequelae, whereas infection acquired in the third trimester has a high rate of intrauterine transmission but a favorable outcome. The prenatal diagnosis of fetal CMV infection should be based on amniocentesis performed 7 weeks after the presumed time of infection and after 21 weeks of gestation. Sonographic findings often imply poor prognosis, but their absence does not guarantee a normal outcome. The value of quantitative determination of CMV DNA in the amniotic fluid is not yet confirmed. The effectiveness of prenatal therapy for fetal CMV is not yet proven, although CMV-specific hyperimmune globulin may be beneficial. Routine serologic screening of pregnant women or newborns has never been recommended by any public health authority. TARGET AUDIENCE: Obstetricians & Gynecologists, Family Physicians. LEARNING OBJECTIVES: After completion of this educational activity, the obstetrician/gynecologist should be better able to evaluate the principles of prenatal diagnosis of congenital CMV infection so doctors will be familiar with the tests and procedures needed, in order to reach a diagnosis of congenital CMV; to assess the natural history and outcome of congenital CMV infection enabling obstetricians to counsel prenatally pregnant women with CMV; and to analyze the prognostic markers for fetal CMV, so managing physicians will be able to predict more accurately the outcomes of fetuses infected by CMV.
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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 | 0.003 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 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".