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Valor prognóstico da poligrafia neonatal relacionado ao desenvolvimento neuropsicomotor e evolução para epilepsia em recém-nascidos com encefalopatias diversas

2020· dissertation· pt· W3095846648 on OpenAlexaboutno aff
Nilton César Lima dos Santos

Bibliographic record

Venuenot available
Typedissertation
Languagept
FieldMedicine
TopicNeonatal and fetal brain pathology
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineIctalEpilepsyPediatricsStatus epilepticusAbnormalityElectroencephalographyAnesthesiaPsychiatry

Abstract

fetched live from OpenAlex

Objective: To evaluate the prognostic value of the different degrees of abnormalities in polygraphic recordings recordings,carried out in neonates with diverse encephalopathies, regarding the neuropsychomotor development and epilepsy in infancy. Methods: Retrospective study, including 205 polygraphics recording from 100 newborns, 49 preterm and 51 full-term, with 26 to 47 weeks of post conceptional age, enrolled between January 2014 and December 2016, with different sort encephalopathies. The main etiologies of the were Sepsis (44%), hypoxic-ischemicencephalopathy (33%) and periventricular hemorrhage (16%). The analysis was carried out in two ways, one considering the last or the single polygraphic recording, and another focusing on the worst or the single recording, all of them obtained during the hospitalization. The neurodevelopment was evaluated at least once, from 6 to 18 months of corrected age, through Alberta Infant Motor Scale or traditional neurologic examination. Epilepsy in the evolution was evaluated up to the age of 18 months. The recordings were classified as normal or included in one of the increasing degrees of abnormality, abnormal I, II, III and IV, by the Neurophysiology team of Ribeiro Preto University Hospital, Brazil. The presence of abnormal sharp and spiky transients, as well as brief ictal/interictal rhythmic discharges (BIRDs), electrographic/electroclinical seizures and status epilepticus were considered. Results: The classification as abnormal IV for the last polygraphy before hospital discharge was predictive of epilepsy by the age of 18 months. That means 9 times more chance to develop epilepsy as compared to normal polygraphy classification. The area under ROC curve was 0.78.he classification of the last polygraphy as abnormal I was predictive of neurodevelopment delay based upon traditional neurologic exam; however the area under ROC curve was 0.65, poor discriminative power. Conclusions: In neonates with diverse encephalopathies, a polygraphic recording classified as abnormal IV before hospital discharge is predictive of epilepsy in infancy. Thus, for newborns with different sorts of encephalopathies, prospective studies are still necessary to detect high risk of neuropsychomotor delay and epilepsy in the outcome.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.030
GPT teacher head0.283
Teacher spread0.253 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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