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Recovery of metabolic acidosis in term infants with postasphyxial hypoxic‐ischemic encephalopathy*

2003· article· en· W1967105262 on OpenAlexaff
PS Shah, NV Raju, Joseph Beyene, Max Perlman

Bibliographic record

VenueActa Paediatrica · 2003
Typearticle
Languageen
FieldMedicine
TopicNeonatal and fetal brain pathology
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineAsphyxiaAcidosisAnesthesiaEncephalopathyAsphyxia NeonatorumAdverse effectPerinatal asphyxiaPediatricsBase excessInternal medicine

Abstract

fetched live from OpenAlex

AIMS: To describe the base deficit (BD) values and the rate of postnatal recovery of the BD of infants with hypoxic ischemic encephalopathy due to intrapartum asphyxia; and to explore the relationships between the rate of recovery of BD, severe adverse outcome and different time patterns (acute total vs prolonged partial) of asphyxia. METHODS: Clinical and laboratory data were collected from the neonatal period (n = 244) and outcome data to a minimal age of 1 y (n = 218). Rates of recovery of BD were described in four 60 min blocks of time. The values of rate of recovery were compared between the outcome groups, ignoring correlation structure within subjects and with adjustment by the generalized estimating equations method. RESULTS: The BD normalized within 4 h of birth in all but 9 of 244 infants. The rates of recovery of BD in infants with good and severe adverse outcome respectively were 0.11 [95% confidence interval (95% CI) 0.07, 0.14] and 0.09 (95% CI 0.07, 0.12) mmol l(-1) min(-1) over the first 4 h after birth. The rates of recovery were similar with or without buffer therapy, and after acute near-total and prolonged partial asphyxia. CONCLUSION: The BD in the great majority of infants with severe intrapartum asphyxia normalizes within 4 h of birth. The BD recovery rate of infants with adverse outcomes was similar to those with relatively good outcome. The different time patterns of asphyxial episode were not associated with differential recovery profiles.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.158
Threshold uncertainty score0.618

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.007
GPT teacher head0.222
Teacher spread0.215 · 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 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".

Quick stats

Citations30
Published2003
Admission routes1
Has abstractyes

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