Bibliographic record
Abstract
TRANSFUSIONS OF PACKED RED BLOOD CELLS (RBCS), a complex biological product prepared from donated blood, are unique in many respects when compared with other health interventions. Despite one of the worst epidemics in recent times being caused, in part, by transfusion of blood products in the 1980s, RBC transfusion remains an essential and frequently performed medical intervention. In the United States, 11.5 million units of blood were donated in 1997. Of all units donated yearly, it is estimated that 50% to 70% are transfused in the surgical setting. In this issue of THE JOURNAL, the international epidemiologic study by Vincent and colleagues highlights the frequent use of RBC transfusions in the intensive care unit (ICU). The Anemia and Blood Transfusion in Critical Care (ABC) investigators conducted a cross-sectional study during a 2-week period in November 1999 to evaluate transfusion practices involving 3534 patients from 146 western European ICUs. From a sample of 1136 of these patients, the investigators recorded the volume of blood drawn per day, and found that blood sampling occurs on average 4.6 times in the first few days of intensive care, and removes approximately 41 mL of blood per 24-hour period. Approximately 29% of patients had a hemoglobin concentration below 10 g/dL on admission to the ICU. The average pretransfusion hemoglobin concentration was 8.4 g/dL during this study, and 37% of patients received a blood transfusion during their ICU stay. The authors also observed a significant association between transfusions of RBCs and increased mortality. These data describe the prevalence of anemia and the use of RBCs as well as a relationship between transfusions and adverse outcomes in critically ill patients. The study results show that the average hemoglobin concentration prior to the administration of an RBC transfusion was lower than anticipated, and certainly lower than average values recorded in Canadian ICUs in 1993. Vincent et al hypothesize that pretransfusion hemoglobin concentrations were lower than those recorded in the past, perhaps because of the influence of the Canadian, multicenter, randomized Transfusion Requirements in Critical Care (TRICC) trial, which failed to show a mortality advantage with RBC transfusion. While it is plausible that RBC transfusion triggers may now be lower than previously observed, this hypothesis is not based on direct comparisons of transfusion data before and after publication of the TRICC trial, adjusting for other factors. The most controversial finding in the report by Vincent et al is the association between mortality and RBC transfusions. The investigators used a matching strategy based on propensity scores to define 2 well-balanced groups, to control for the confounding created by illness severity and the need for transfusions (ie, confounding by indication), and to determine the influence of RBC transfusions on mortality. Using this approach, the associated risk of death was increased 33% for patients who received a transfusion compared with similar patients who did not receive blood. However, the lower boundary of the 95% confidence interval (CI) bordered on unity, suggesting that these results might be modified by many factors and thus may not be robust under all circumstances. For example, the results may differ if the propensity scores were derived separately for categories of pretransfusion hemoglobin concentrations ( 8.0, 8.0-10.0, and 10.0 g/dL) instead of hemoglobin concentration at ICU admission. It is improbable that the observed 33% increase in mortality is proportional at all hemoglobin levels (eg, 6.0 g/dL), or transfusions would never be recommended. In another observational study of 78974 Medicare records of patients with acute myocardial infarction, Wu et al suggested that RBC transfusions were beneficial, rather than harmful, when hematocrit values were less than 33%. These investigators observed that blood transfusion was associated with a reduction in 30-day mortality for patients who received at least 1 RBC transfusion if their admitting hematocrit value was less than 33%. For instance, compared with patients who did not receive RBC transfusion, patients with an admitting hematocrit value between 5% and 24% had a significantly lower risk of death (adjusted odds ratio, 0.22; 95% CI, 0.11-0.45) following blood transfusion. This study, and the accompanying editorial, recommended adoption of high hematocrit values as transfusion triggers, despite infrequent RBC transfusions in patients with low hematocrit values and spurious associations between the severity of illness, the disease process, and the physician’s decision to administer RBCs. Group imbalances and spurious associations are threats to the validity of observational studies that attempt to assess the impact of treatments such as RBC transfusions on clinical outcomes,
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".