P-54. High Dose Intramuscular Influenza Vaccine in Solid Organ Transplant Patients. A Systematic Review and Meta-analysis
Bibliographic record
Abstract
Abstract Background Seasonal influenza can cause serious illness and even death, especially in immunocompromised people such as solid organ transplant recipients (SOT). Early results from some studies show that high dose (HD) intramuscular (IM) vaccine might help boost the body's immune response in transplant patients. Given the uncertain benefits and harms associated with various IM vaccine doses a synthetized appraisal of the evidence is warranted.Figure 1:Seroconversion rate in Influenza A(H1N1) (SC H1N1) Forest plot Methods Randomized controlled trials of adults who underwent SOT and received IM influenza vaccine and compared , IM influenza HD vaccine with standard dose. The outcomes of interests are seroconversion rate (SCR) for H1N1,H3N2, and graft rejection after vaccination. We searched MEDLINE, Embase, and Cochrane CENTRAL until Jan 2024. Screening, data extraction, risk of bias and certainty of evidence assessment were assessed by two reviewers.Figure 2:Seroconversion rate in Influenza A (H3N2) (SC H3N2) Forest plot Results Pooling data from the 5 studies (1281 patients) shows moderate quality of evidence in the SCR towards using HD influenza vaccine in H1N1 type and high-quality evidence for H3N2 type . (RR 1.87 (1.25 to 2.79), RR 1.54 [1.31 to 1.80]). Analysis of five studies indicated that HD influenza vaccine results in no difference in graft rejection. (RR 0.73 [0.37 to 1.45]). High quality evidence showed that HD influenza vaccine reduce serious adverse events in SOT patients. (RR 0.71 [0.52 to 0.96]). Data from three studies shows HD influenza vaccine may results in little to no difference in confirmed clinically influenza. (low certainty of evidence) (RR 1.16 [0.58 to 2.29]).Figure 3:Graft rejection (GR) Forest plot Conclusion Our systematic review indicates that HD influenza vaccine probably increases SCR in H1N1 and increases SCR in H3N2.HD vaccine, also may not increase graft rejection and reduces serious adverse events in SOT patients. GRADE Summary of Findings (SoF) Table Disclosures Reza Rahimi Shahmirzadi, MD, Pfizer: Grant/Research Support Meisam Abdar Esfahani, MD, Pfizer: Grant/Research Support Michael Silverman, MD, FRCP, FACP, AAHIVMed, Pfizer: Grant/Research Support
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.014 | 0.004 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".