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Record W3157759564 · doi:10.1159/000514710

Probable Case of Vertical Transmission of SARS-CoV-2 in a Newborn in Mexico

2021· article· en· W3157759564 on OpenAlexaff
Marcela Mendoza-Hernández, Ivette Huerta-Niño de Rivera, María Yoldi‐Negrete, Pamela Saviñon-Tejeda, Rafael Franco‐Cendejas, Luis Esaú López-Jácome, Iñaki Navarro-Castellanos

Bibliographic record

VenueNeonatology · 2021
Typearticle
Languageen
FieldMedicine
TopicCOVID-19 Impact on Reproduction
Canadian institutionsUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
FundersNational Institutes of Health
KeywordsMedicineAsymptomaticChest radiographTransmission (telecommunications)Respiratory distressPneumothoraxPediatricsPopulationSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Continuous positive airway pressurePregnancyEtiologyCoronavirus disease 2019 (COVID-19)SurgeryLungInternal medicineDisease

Abstract

fetched live from OpenAlex

BACKGROUND: Much remains unknown about the transmission of the SARS-CoV-2 virus. Pregnant women are considered part of the risk population, and vertical transmission of other coronaviruses has been suggested; however, this type of transmission in SARS-CoV-2 is believed to be unlikely. CASE REPORT: A newborn delivered in term via cesarean section to an asymptomatic but COVID-19-positive 35-year-old woman started with respiratory distress in the first 30 min of life. A chest radiograph revealed pneumothorax and ground glass opacities. Ventilatory support with continuous positive airway pressure was needed. Given the respiratory failure and the positive test from the mother, the patient was sampled for SARS-CoV-2 (RT-PCR) at minute 30 of life, with a positive result reported at 36 h of life. No complications had been present during pregnancy, and cardiac screening and blood cultures revealed no other etiologies. CONCLUSION: Vertical transmission was highly likely in this case. Clinicians should be alert and report similar cases.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.161
Threshold uncertainty score0.316

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.044
GPT teacher head0.362
Teacher spread0.319 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations7
Published2021
Admission routes1
Has abstractyes

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