Reticulocyte hemoglobin content in 13 critically ill patients: a preliminary study
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".