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Record W2052803569 · doi:10.1097/ccm.0b013e31817c1095

Complications associated with anemia and blood transfusion in patients with aneurysmal subarachnoid hemorrhage

2008· article· en· W2052803569 on OpenAlexaff
Andreas H. Kramer, Matthew J. Gurka, Bart Nathan, Aaron S. Dumont, Neal F. Kassell, Thomas P. Bleck

Bibliographic record

VenueCritical Care Medicine · 2008
Typearticle
Languageen
FieldMedicine
TopicBlood transfusion and management
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineSubarachnoid hemorrhageAnemiaOdds ratioVasospasmConfidence intervalIntensive care unitBlood transfusionInternal medicineRetrospective cohort studyLogistic regressionAnesthesia

Abstract

fetched live from OpenAlex

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.510

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.013
GPT teacher head0.243
Teacher spread0.231 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations149
Published2008
Admission routes1
Has abstractyes

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