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Record W6989602443

Born just a few weeks early… is this relevant? : Insights into brain lesions, brain growth, and outcome in moderate-late preterm infants

2021· dissertation· en· W6989602443 on OpenAlexaboutno aff

Bibliographic record

VenueUtrecht University Repository (Utrecht University) · 2021
Typedissertation
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsNeuroimagingPeriventricular leukomalaciaPopulationDiseaseGestational ageVentriculomegalyIncidence (geometry)
DOInot available

Abstract

fetched live from OpenAlex

This thesis gives insights into neonatal brain injury, brain growth and neurodevelopmental outcome in moderate-late preterm (MLPT) infants, born at 32–36 weeks’ gestation. Additionally, we describe the neurodevelopmental outcome of preterm infants with cerebellar hemorrhage (CBH). In Chapter 2 we give an overview of the literature regarding brain injury and development in MLPT infants. Most frequently studied types of brain injury were intraventricular hemorrhage (IVH) and periventricular leukomalacia (PVL). Incidences of other forms of brain injury were sparsely reported. In addition, there is a lack of knowledge regarding the effect of brain injury on neurodevelopmental outcome in MLPT infants. In Chapter 3, we investigate current practice regarding neurological surveillance in MLPT infants in the Netherlands and Canada. We found variations in local practices regarding e.g. admission criteria, neuroimaging and follow-up. This may partially be explained by the lack of guidelines regarding care of MLPT infants. The above indicates that considerable knowledge about MLPT infants is still lacking. By conducting a prospective cohort study, we sought to fill some of the gaps in knowledge. The BIMP-study (Brain Imaging in Moderate-late Preterm infants) was performed between 2017-2019 at the Isala Women and children’s Center in Zwolle, the Netherlands. MLPT infants underwent cranial ultrasound and MRI. In the BIMP-cohort (n= 166), a high incidence of mild brain lesions (71.7%) was found. Frequent findings were signs suggestive of white matter injury, and small hemorrhages, including CBH. Moderate-severe brain lesions were seen in 3.6% of infants. We compared linear measurements of brain structures between MLPT and full-term infants. Biparietal diameter and basal ganglia width were smaller in MLPT infants. We found no differences in linear measurements or in brain volumes between moderate preterm (MP, 32+0–33+6 weeks) and late preterm infants (LP, 34+0–35+6 weeks). Mild brain lesions had no effect on brain volumes (Chapters 4, 5 and 6). In Chapter 7, we present a preliminary overview of the follow-up of 85 MLPT infants who have now reached 24 months of age. Almost one in three (30.6%) had an suboptimal outcome score. Given the descriptive nature of this overview and the fact that follow-up is still ongoing, we could not yet draw any further conclusions. In Chapter 8, we explore the association between the size and location of CBH in preterm infants ≤34 weeks (n = 218) and neurological outcome around two years of age. All infants with massive CBH and involvement of the vermis on neonatal MRI had a less favorable outcome. Infants with limited CBH had a more favorable outcome than infants with massive CBH. Although much research is still needed to provide strict recommendations, we advise the following based on our findings and the current literature: - Standard neuroimaging in MLPT infants does not seem warranted at present. - Use a low threshold for accepting MLPT infants in neurodevelopmental follow-up programs and interventions as they are at risk of neurodevelopmental and behavioral problems. - Assess CBH based on size and location. With a special note on vermian involvement.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.795
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.002
Science and technology studies0.0030.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.012
GPT teacher head0.220
Teacher spread0.208 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2021
Admission routes1
Has abstractyes

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