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Record W4296780172 · doi:10.1093/pch/21.supp5.e84c

Biochemical Derangements in Patients with Hypoxic Ischemic Encephalopathy Treated With Therapeutic Hypothermia

2016· article· en· W4296780172 on OpenAlexaff
J Hagel, C Tomlinson

Bibliographic record

VenuePaediatrics & Child Health · 2016
Typearticle
Languageen
FieldMedicine
TopicNeonatal and fetal brain pathology
Canadian institutionsToronto Public Health
Fundersnot available
KeywordsMedicineHypothermiaEncephalopathyPerinatal asphyxiaAsphyxiaGestational ageIncidence (geometry)PediatricsInternal medicineAnesthesiaPregnancy

Abstract

fetched live from OpenAlex

Abstract BACKGROUND: Therapeutic hypothermia is the standard of care for treating moderate or severe hypoxic ischemic encephalopathy (HIE) due to birth asphyxia. During the cooling period, altered intermediary metabolism coupled with multi-organ injury due to the underlying hypoxia may result in significant metabolic and biochemical derangements. Since the introduction of therapeutic hypothermia we have noticed an apparent increase in hyperglycemia and hyponatremia though such has not been formally documented. OBJECTIVES: This study sought to determine if there is a difference in the incidence of biochemical derangements in patients undergoing therapeutic hypothermia for moderate to severe HIE compared to a historical control group receiving standard supportive care. DESIGN/METHODS: A retrospective chart review was performed with a cluster sampling technique to select all patients ≥35 weeks PMA with a primary admission diagnosis of HIE in the years 2006, 2009, and 2012 at a single institution. This covered a time period before therapeutic hypothermia was established as standard of care, when it was in its implementation phase, and once fully established. Other than the hypothermia itself, there were no major changes in management of these patients, particularly, no change in fluid management regimens. Gestational age, birth weight, APGARs, severity of HIE, medications, blood glucose, electrolytes, liver and renal function were collected retrospectively at all time points during the 72 hour cooling window. Analysis was performed using unpaired students ttest using 0.05 as a definition of statistical significance. RESULTS: 155 patients were identified, 20 were excluded due to gestational age or suspected/confirmed underlying genetic disorder leaving n=60 cooled neonates and n=75 uncooled. The average gestational age in the cooled group was 39 and 3/7 weeks and in the uncooled group it was 38 and 5/7 weeks. In both groups, there were slightly more males than females with 57% (n=34) in the cooled group and 59% (n=44) in the uncooled group. There is a statistically significant increase in plasma glucose in the cooled group on day one (7.37±1.73 vs. 5.49±1.89, P<0.01) and day two (6.26±1.61 vs 5.34±1.79, P <0.05). There was no difference on day three. Serum sodium was lower in the cooled group on all three days, though it was only statistically significant on day 1 (130.29±4.84 vs. 132.27±4.58, P<0.05). CONCLUSION: Our results suggest that without significant changes in fluid management, therapeutic hypothermia is associated with an increased incidence of hyperglycemia and hyponatremia. Further work is needed to determine if these derangements significantly affect short or long-term outcomes.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.008
GPT teacher head0.228
Teacher spread0.220 · 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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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