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Record W4393370494

Anemia at discharge from pediatric intensive care unit : prevalence, risk markers and management

2020· preprint· en· W4393370494 on OpenAlexaboutno aff
Pierre Demaret

Bibliographic record

VenueMunich Personal RePEc Archive (Ludwig Maximilian University of Munich) · 2020
Typepreprint
Languageen
FieldBusiness, Management and Accounting
TopicBlood donation and transfusion practices
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAnemiaIntensive care medicinePediatric intensive care unitIntensive care unitInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Anemia is frequent at pediatric intensive care unit (PICU) admission and during PICU stay, and it is associated with bad outcomes during critical illness. Moreover, restrictive transfusional strategies are currently recommended for most of the critically ill children. Therefore, it makes sense to wonder about anemia at discharge from PICU.This is a relevant question: indeed, anemia is associated with worse outcomes in several non-critical settings. It is thus plausible that anemia at PICU discharge is associated with bad post-PICU outcomes, which is particularly relevant nowadays considering the low mortality rate reported in PICU.The main finality of our research program is the association between post-PICU anemia and post-PICU outcomes, and eventually the impact of the treatment of anemia on post-PICU outcomes. However, to date, published data on anemia at discharge from PICU are almost non-existent. The first step of our research program is thus to obtain a global picture of the current situation: this is the aim of this thesis.The objectives of this thesis are to determine the prevalence of anemia at discharge from PICU, its risk markers, and its management by pediatric intensivists. To reach these goals, we plan to conduct three studies: a prospective monocenter study including a cohort of children admitted during a 1-year period in a tertiary PICU in Montreal, Canada; a retrospective bi-center study including a cohort of children admitted during a 5-year period in the tertiary PICUs of Lille and Lyon; and an international survey distributed to PICU physicians across the world and aiming to assess their prescriptions of red blood cells, iron and erythropoietin to children anemic at PICU discharge.These studies are required to assess the importance of the problem, to identify subgroups of children at risk of anemia after critical illness, to raise hypotheses on the causes of this anemia, and to determine the way pediatric intensivists perceive and treat discharge anemia (do they treat it like they treat anemia during the acute phase of critical illness?). These data will help to construct future studies on this topic and to interpret the results of these future studies.

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.204
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
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.006
Research integrity0.0000.001
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 head0.021
GPT teacher head0.214
Teacher spread0.193 · 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 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
Published2020
Admission routes1
Has abstractyes

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