Complications associated with anemia and blood transfusion in patients with aneurysmal subarachnoid hemorrhage
Bibliographic record
Abstract
OBJECTIVE: Patients with subarachnoid hemorrhage (SAH) frequently develop delayed cerebral ischemia and may be especially vulnerable to the effects of anemia. However, the potentially harmful effects of allogeneic red blood cells are increasingly being recognized. The optimal transfusion threshold is unknown, but current practice most often uses a liberal approach. We assessed the association between anemia or transfusion and subsequent adverse outcomes. DESIGN: Retrospective cohort study. SETTING: Neuroscience intensive care unit of a university hospital. PATIENTS: A total of 245 consecutive patients with aneurysmal SAH. INTERVENTIONS: None. MEASUREMENTS: Logistic regression models were used to adjust for baseline differences in age, severity of neurologic impairment, and amount of blood on computed tomography. Patients were dichotomized based on whether symptomatic vasospasm was diagnosed. MAIN RESULTS: Individually, anemia (nadir hemoglobin <10 g/dL) and the use of transfusions were both associated with the combined outcome of death, severe disability, or delayed infarction (odds ratio [OR] for anemia, 2.7; 95% confidence interval [CI] 1.5-5; p < .01; OR for transfusion, 4.8; 95% CI, 2.5-9.1; p < .01). When both variables were together introduced into a logistic regression model, only transfusion remained significantly predictive (OR, 4.3; 95% CI, 1.5-9.3; p < .01). The relationship between anemia and adverse outcomes was stronger among patients diagnosed with vasospasm, whereas for transfusion, it was stronger among patients without vasospasm. Transfusion also was associated with the development of nosocomial infections (OR, 3.2; 95% CI, 1.7-5.5; p < .01). There was no statistically significant difference in complications based on the duration of blood storage before transfusion. CONCLUSIONS: Although anemia is predictive of adverse outcomes in patients with SAH, this observation cannot be considered justification for a liberal transfusion strategy. Appropriate transfusion thresholds may vary depending on the presence or absence of clinical vasospasm. Randomized trials that compare liberal and restrictive transfusion strategies in patients with SAH are needed.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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".