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Record W3020846168 · doi:10.1210/jendso/bvaa046.484

OR26-02 The Effect on Ketogenesis of Withholding Early Parenteral Nutrition in Critically Ill Children, as a Potential Mediator of the Improved Acute Outcome

2020· article· en· W3020846168 on OpenAlexaff
Astrid De Bruyn, Jan Gunst, Chloë Goossens, Gonzalo Garcia Guerra, Sascha Verbruggen, Koen F. M. Joosten, Lies Langouche, Greet Van den Berghe

Bibliographic record

VenueJournal of the Endocrine Society · 2020
Typearticle
Languageen
FieldNursing
TopicClinical Nutrition and Gastroenterology
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsKetogenesisMedicineParenteral nutritionWeaningCritical illnessSepsisMechanical ventilationHypoglycemiaInternal medicinePediatricsCritically illInsulinIntensive care medicineKetone bodies

Abstract

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Abstract Introduction: In adults and children, withholding parenteral nutrition (PN) for 1 week in ICU (late PN), hereby accepting macronutrient deficit early during critical illness, as compared with supplementing insufficient enteral nutrition with PN (early PN), accelerates weaning from mechanical ventilation, reduces infections, and shortens ICU stay1,2. We hypothesized that these benefits are in part mediated by fasting-induced ketogenesis. Methods: This is a secondary analysis of the Early versus Late Parenteral Nutrition in the Pediatric ICU (PEPaNIC) RCT (N=1440)2. First, for a matched subset of 96 patients with a PICU stay of ≥5 days, daily plasma 3-hydroxybutyrate (3HB) concentrations were determined to identify the time point of maximal effect of late PN versus early PN, if any, on 3HB. Thereafter, for all patients with a plasma sample available on that “maximal effect day” (or last day for shorter stayers), plasma 3HB and insulin concentrations were quantified (N=1142). The independent association between plasma 3HB on that day and outcome was assessed by multivariable Cox proportional hazard analysis for time to live weaning from mechanical ventilation and for time to live PICU discharge and by multivariable logistic regression for incidence of new infection and PICU mortality, adjusted for randomization to late PN versus early PN and baseline risk factors (demographics, diagnosis, illness severity). In a sensitivity analysis, models were further adjusted for key regulators of ketogenesis (plasma insulin, blood glucose, corticosteroids and catecholamines) to assess whether any effect was direct or indirect. Results: In the matched cohort, late PN increased plasma 3HB as compared with early PN (P<0.0001 for PICU-days 1 to 5), with maximal effect observed on PICU day 2. In the 1142 patients, plasma 3HB concentration on that “maximal effect day” was (mean±SEM) 0.19±0.05 mM in early PN patients and 1.17±0.02 mM in late-PN patients (P<0.0001). Adding these plasma 3HB concentrations to the multivariable models, adjusted for baseline risk factors and randomization, showed that higher plasma 3HB concentrations were independently associated with a higher likelihood of early live weaning from mechanical ventilatory support (P=0.0002) and of early live PICU discharge (P=0.004). As the 3HB concentrations replaced the effect of the randomization, this suggested that the 3HB effect statistically explained these effects of the randomization. Further adjustment for key regulators of ketogenesis did not alter these findings. The effect of late PN versus early PN on plasma 3HB did not explain its impact on infections and was not related to mortality. Conclusion: Withholding early PN increased plasma 3HB concentrations in critically ill children, a direct effect that mediated an important part of its beneficial impact on recovery. 1Casaer M. et al, N Engl J Med 20112Fivez T. et al, N Engl J Med 2016

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)0.002
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0110.001

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 head0.011
GPT teacher head0.291
Teacher spread0.280 · 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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