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Record W4389349008 · doi:10.1208/s12248-023-00851-0

A Population Model of Time-Dependent Changes in Serum Creatinine in (Near)term Neonates with Hypoxic-Ischemic Encephalopathy During and After Therapeutic Hypothermia

2023· article· en· W4389349008 on OpenAlex
Wojciech Krzyżański, Pia Wintermark, Pieter Annaert, Floris Groenendaal, Suzan Şahin, Mehmet Yekta Öncel, Didem Armangil, Esin Koç, Malcolm Battin, Alistair J. Gunn, Adam Frymoyer, Valerie Y. Chock, Elif Keleş, Djalila Mekahli, John van den Anker, Anne Smits, Karel Allegaert

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueThe AAPS Journal · 2023
Typearticle
Languageen
FieldMedicine
TopicNeonatal and fetal brain pathology
Canadian institutionsMcGill University Health CentreMontreal Children's Hospital
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentFonds de Recherche du Québec - SantéCanadian Institutes of Health ResearchEuropean Maritime and Fisheries FundFonds Wetenschappelijk Onderzoek
KeywordsRenal functionMedicinePopulationGestational ageNeonatal encephalopathyHypothermiaCreatinineEncephalopathyPerinatal asphyxiaAsphyxiaAcute kidney injuryHypoxic Ischemic EncephalopathyAnesthesiaPediatricsInternal medicinePregnancy

Abstract

fetched live from OpenAlex

Abstract The objective was to apply a population model to describe the time course and variability of serum creatinine (sCr) in (near)term neonates with moderate to severe encephalopathy during and after therapeutic hypothermia (TH). The data consisted of sCr observations up to 10 days of postnatal age in neonates who underwent TH during the first 3 days after birth. Available covariates were birth weight (BWT), gestational age (GA), survival, and acute kidney injury (AKI). A previously published population model of sCr kinetics in neonates served as the base model. This model predicted not only sCr but also the glomerular filtration rate normalized by its value at birth (GFR/GFR 0 ). The model was used to compare the TH neonates with a reference full term non-asphyxiated population of neonates. The estimates of the model parameters had good precision and showed high between subject variability. AKI influenced most of the estimated parameters denoting a strong impact on sCr kinetics and GFR. BWT and GA were not significant covariates. TH transiently increased $$\mathrm{sCr}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>sCr</mml:mi> </mml:math> in TH neonates over the first days compared to the reference group. Asphyxia impacted not only GFR, but also the $$\mathrm{sCr}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>sCr</mml:mi> </mml:math> synthesis rate. We also observed that AKI neonates exhibit a delayed onset of postnatal GFR increase and have a higher $$\mathrm{sCr}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>sCr</mml:mi> </mml:math> synthesis rate compared to no-AKI patients. Our findings show that the use of $$\mathrm{sCr}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>sCr</mml:mi> </mml:math> as marker of renal function in asphyxiated neonates treated with TH to guide dose selection for renally cleared drugs is challenging, while we captured the postnatal sCr patterns in this specific population. Graphical Abstract

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.

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 score0.451
Threshold uncertainty score0.271

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.012
GPT teacher head0.235
Teacher spread0.223 · 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