PERFIL SOCIODEMOGRÁFICO E CLÍNICO DE CRIANÇAS NASCIDAS PRÉ-TERMO DEVIDO A COVID-19 NA GESTANTE
Bibliographic record
Abstract
Resultados: Foram examinados 317 pronturios de crianas nascidas entre maro de 2020 e maro de 2022.Desses, 29 pronturios atenderam os critrios de incluso.A idade mdia das mes foi de 27,9 anos (5,2), com parto cesariana em 86,2%.As complicaes obsttricas foram: perda significativa de lquido amnitico, sangramento transvaginal, diabetes mellitus, ruptura prematura de membranas ovulares, restrio de crescimento intrauterino, bolsa rota, pr-eclmpsia e a necessidade de ventilao mecnica.Os sintomas gripais relatados foram: cefalia, dispnia, febre, tosse, astenia, coriza, mialgia e dor torcica.Em relao aos bebs, apenas dois (6,9%) testaram positivo para COVID-19, 48,2% foram prematuros moderados, 41,3% muito prematuros e 13,7% prematuros extremos.48,2% precisaram de reanimao, 44,8% no apresentaram choro ao nascer, 27,5% necessitaram de ventilao mecnica no invasiva, e 13,7% morreram.As complicaes mais frequentes relatadas foram: desconforto respiratrio, hipotonia, cianose, sepse neonatal, ictercia, apneia e bradicardia.Concluso: Os resultados indicam risco de complicaes da COVID-19 na gestante com repercusses no beb.A alta taxa de prematuridade em neonatos de mes infectadas, juntamente com as complicaes maternas associadas, refora a importncia da vigilncia redobrada em casos de COVID-19 durante a gestao.Ademais, a ocorrncia de complicaes neonatais refora a necessidade de uma abordagem multidisciplinar no cuidado do beb, bem como, o acompanhamento do desenvolvimento global.Espera-se que os achados possam contribuir para estratgias de sade pblica e prtica clnica buscando amenizar os impactos da COVID-19 na sade materno-infantil.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.030 | 0.013 |
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; both teacher heads agree on what is shown here.
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".