Reassessing the Need for Pre-Operative Transfusions in Sickle Cell Disease Patients with a High Baseline Hemoglobin
Bibliographic record
Abstract
Abstract Background: Patients with sickle cell disease (SCD) are more likely to require surgical procedures, and to have post-operative complications compared to the general population. The TAPS trial demonstrated that pre-operative transfusion is associated with a 3.8-fold reduction in peri-operative complications in patients with SCD. Pre-operative exchange transfusion has not been shown to have benefit over simple top-up transfusion. Patients with SCD may have baseline hemoglobin levels higher than the usual 60-80 g/L for a variety of reasons including; non-hemoglobin SS genotype SCD, co-inheritance of deletion(s) in alpha globin genes, hereditary persistence fetal hemoglobin, and hydroxyurea (HU) use. It is less clear whether patients with pre-operative hemoglobin levels > 90 g/L would also benefit from pre-operative transfusions. Previous studies of pre-operative transfusions in SCD have largely not captured these patients, in part due to low HU uptake at the time of the study and exclusion of non-hemoglobin SS SCD. We conducted a retrospective cohort study to assess the role of pre-operative transfusion in patients with SCD and a high baseline hemoglobin. Methods: 1304 patients seen at The Hospital for Sick Children, Toronto between 2007 and 2017 were assessed for eligibility. Patients were included if they: had a baseline hemoglobin ≥ 90 g/L, were 1-18 years of age at the time of surgery, had a diagnosis of hemoglobin SS, SC, Sβ+-thalassemia or Sβ0-thalassemia SCD subtypes, and had a low or medium risk elective surgery under a general anesthetic. Surgeries were classified according to the Co-operative Study of Sickle Cell Disease. Post-operative complications were defined as one or more of the following within 30 days of surgery: fever, vaso-occlusive crisis (VOC), infection, bleeding requiring transfusion, acute chest syndrome (ACS), stroke, intensive care admission (ICU), emergency room visit after discharge, readmission to hospital after discharge, or death. The incidence of postoperative complications for those with a baseline hemoglobin ≥90 g/L was compared between those who received a transfusion and those who did not. To estimate the adjusted effect of pre-operative transfusion on the risk of developing post-operative complications, a multi-variable logistic regression model was fitted using the change-in-estimate procedure, where variables with the strongest influence on the crude (unadjusted) estimate were included as model covariates (i.e. key confounders). Results: 117 patients with a hemoglobin ≥90 g/L underwent a total of 137 procedures. The most frequent procedures included were: tonsillectomies/adenoidectomies (26), cholecystectomies (25), splenectomies (20), and umbilical hernia repairs (11). There were 22 procedures (16%) where a pre-operative transfusion was administered. All patients received simple top-up transfusions. Of these, 11 (50%) encountered at least one post-operative complication. In contrast, 22/115 (19.1%) procedures without a pre-operative transfusion experienced a post-operative complication. There was an increased risk of post-operative complications in the group that was transfused (p=0.003, OR=4.2, 95% CI 1.6-11). Adjusting for two key confounders identified during the modeling process (splenectomy and prior ACS), pre-operative transfusion was again found to be associated with an increased risk of post-operative complications (p=0.017, OR=3.6, 95% CI 1.2-9.2). The characteristics of these patients and the incidence and distribution of post-operative complications are shown in Table 1. Conclusion: Patients with SCD and a baseline hemoglobin ≥90 g/L who receive a pre-operative top-up transfusion have an increased risk of post-operative complications compared to those who are not transfused. In low and medium risk surgeries, a policy of withholding transfusions for such patients may be considered. Prospective studies validating these findings are needed. Disclosures No relevant conflicts of interest to declare.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".