1754. Pre-Transplant Vaccination Rates in Solid-Organ Transplant Recipients
Bibliographic record
Abstract
Abstract Background Recipients of solid-organ transplants (SOT) are at increased risk of vaccine-preventable illnesses. Because of the immunosuppression administered following SOT, live vaccines are generally contraindicated post-SOT, and response to inactivated vaccines may be suboptimal. National and international guidelines recommend optimizing immunizations prior to SOT. We analyzed rates of vaccination for SOT candidates in a cohort of adult kidney and liver transplant recipients. Methods A retrospective chart review of adult kidney, kidney/pancreas (KP) and liver transplant recipients was conducted between 2014 and 2016. We calculated the rates of vaccinations of the following vaccines: pneumococcus, meningococcus, Hepatitis A and B, Haemophilus influenzae type B, measles, mumps, rubella, polio, tetanus, diphtheria and pertussis. Results 300 patients were included (147 kidney, 14 KP, 139 liver). Liver recipients were older (mean age 53 vs. 50; P = 0.028) and less likely to have had a previous transplant (5.8% vs. 21.1%; P < 0.001) or a living donor (15.8% vs. 32.3%, P = 0.01). Liver recipients were more likely to have been vaccinated against hepatitis A (106 [53.9%] vs. 28 [17.4%]; P < 0.001). Kidney and KP recipients were more likely to have received at least 1 dose of hepatitis B vaccine (138 [85.7%] vs. 91 [65.5%]; P < 0.001) or at least 1 dose of any of the pneumococcal vaccines (PSV23 94 [67.6%] vs. 92 [57.1%]; P = 0.062; PCV13 130 [80.7%] vs. 93 [66.9%]; P = 0.006; pneumococcal vaccine not clarified 47 [29.2%] vs. 14 [10.1%]; P < 0.001). No difference was observed with regards to other vaccines (Table 1). Being a kidney transplant recipient increased the odds of getting at least 1 dose of hepatitis B, tetanus/diphtheria/acellular pertussis (Tdap), measles, and pneumococcal vaccine (OR = 1.75, 95% CI [1.063–2.864]; P = 0.028) Conclusion In our cohort, kidney transplant recipients were more likely to have received pre-transplant vaccination. Despite the availability of local and international guidelines, vaccination in SOT candidates remains suboptimal and further study of barriers to implementation of these guidelines is warranted to inform future quality improvement initiatives. Disclosures All authors: No reported disclosures.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".