Exploratory studies on the age of transfused blood and in‐hospital mortality in patients with cardiovascular diagnoses
Bibliographic record
Abstract
BACKGROUND: The objective was to examine the association between blood storage duration and in-hospital mortality in a large cohort of cardiovascular patients transfused between 2002 and 2011. STUDY DESIGN AND METHODS: Cox regression models were fitted to assess the effect of red blood cell (RBC) storage duration on risk of in-hospital mortality in cardiovascular patients (2002-2011). Time-dependent covariates summarizing the maximum age of RBCs transfused per individual were included as continuous or categorical variables. Models were stratified by cumulative number of RBCs transfusions and other potential confounders. Exploratory analyses were performed by period (Period I, April 2002 to March 2006; Period II, April 2006 to October 2011) and controlling for fiscal year of admission. RESULTS: A total of 9669 patients received 46,868 RBCs. The median number of RBC units transfused was 3 (interquartile range [IQR], 2-5); the median age of RBCs was 17 days (IQR, 13-23 days). The progressive increase in risk of in-hospital mortality with transfusion of older blood observed previously was not seen in the larger cohort (hazard ratio, 01.00; p = 0.692); significantly different effects were observed between periods (p = 0.016), but the difference between periods was no longer significant upon stratification by fiscal year of admission (interaction p = 0.094). CONCLUSION: The analysis of a large cohort of cardiovascular patients showed no association between storage age of blood and in-hospital mortality. This finding is inconsistent with those of our previous report that analyzed a smaller cohort.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".