MétaCan
Menu
Back to cohort

Reticulocyte hemoglobin content in 13 critically ill patients: a preliminary study

2008· article· en· W1972667370 on OpenAlexaff
GENEVIÈVE PRÉFONTAINE, Martin Darveau, Charaf E Ahnadi, Pierre Lachance, Olivier Lesur, Christine Drouin, Patrice Lamarre, CARMEN VÉZINA

Bibliographic record

VenueTransfusion Alternatives in Transfusion Medicine · 2008
Typearticle
Languageen
FieldMedicine
TopicIron Metabolism and Disorders
Canadian institutionsCentre Hospitalier Universitaire de SherbrookeHôtel-Dieu de QuébecUniversité Laval
Fundersnot available
KeywordsMedicineReticulocyteHemoglobinErythropoiesisCritically illIntensive care unitFerritinIntensive careAnemiaIron deficiencyInflammationIntensive care medicineGastroenterologyInternal medicineRNABiochemistry

Abstract

fetched live from OpenAlex

SUMMARY In the presence of inflammation, iron availability for erythropoiesis is decreased, and hemoglobin production is reduced in reticulocytes. The reticulocyte hemoglobin content (CHr) provides a real picture of bone marrow status and could be useful to evaluate iron metabolism in critically ill patients. We conducted a preliminary study to evaluate the feasibility to measure the CHr in the intensive care units of two university hospitals and to evaluate the impact of C‐reactive protein on CHr values. The CHr was measured in 14 consecutive critically ill patients hospitalized in the intensive care unit between 48 and 96 hours. One patient with a ferritin concentration < 100 µg/L was excluded to eliminate a possible coexistence of iron deficiency with inflammation. A statistically significant correlation was observed between C‐reactive protein concentrations and CHr values ( r = −0.588; P = 0.03, n = 13). The results observed in this preliminary study are interesting and could be useful to establish the research protocol for a future study evaluating iron metabolism in critically ill patients. A larger study is feasible and warranted given the results observed in this preliminary study.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.041
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.033
GPT teacher head0.297
Teacher spread0.264 · 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

Citations2
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueTransfusion Alternatives in Transfusion MedicineSame topicIron Metabolism and DisordersFrench-language works237,207