Faculty Bibliography

In the United States, a small proportion of potential deceased organ donor referrals lead to donation and recovery. Understanding variation in the processes involved between organ procurement organizations (OPOs) may help increase deceased donation and reduce the organ shortage. We studied 103 923 referrals from 10 OPOs from 2018 to 2019, of which 14.4% led to approach for authorization, 8.2% led to authorization, 5.1% led to organ recovery, and 4.8% led to transplantation. First-person authorization (FPA) was associated with threefold higher odds of donation (OR = _2.83 3.02 _3.22 , p < .001). Female referrals had 11% lower odds of approach; when approached, Black and Hispanic referrals had 46% and 35% lower odds of authorization, respectively (all p < .001). There was substantial OPO-level variation in rates of approach, authorization, and organ recovery, which persisted after adjusting for age, sex, race, and FPA status. An OPO's relative rate of approach correlated strongly with its relative rate of donation among all referrals (ρ = 0.43). Correlation between an individual OPO's authorization rate among approached families, and overall rate of donation, was negative, suggesting that high authorization rates may be the result of selective approach practices. Therefore, approaching a higher proportion of families for authorization may lead to higher donation rates.

Background/UNASSIGNED:People with upper extremity (UE) amputations report receiving insufficient information about treatment options. Furthermore, patients commonly report not knowing what questions to ask providers. A question prompt sheet (QPS), or list of questions, can support patient-centered care by empowering patients to ask questions important to them, promoting patient-provider communication, and increasing patient knowledge. This study assessed information needs among people with UE amputations about UE vascularized composite allotransplantation (VCA) and developed a UE VCA-QPS. Methods/UNASSIGNED:This multi-site, cross-sectional, mixed-methods study involved in-depth and semi-structured interviews with people with UE amputations to assess information needs and develop a UE VCA-QPS. Qualitative data were analyzed by thematic analysis; quantitative data were analyzed by descriptive statistics. The initial UE VCA-QPS included 130 items across 18 topics. Results/UNASSIGNED:Eighty-nine people with UE amputations participated. Most were male (73%), had a mean age of 46 years, and had a unilateral (84%) and below-elbow amputation (56%). Participants desired information about UE VCA eligibility, evaluation process, surgery, risks, rehabilitation, and functional outcomes. After refinement, the final UE VCA-QPS included 35 items, across 9 topics. All items were written at a ≤ 6th grade reading level. Most semi-structured interview participants (86%) reported being 'completely' or 'very' likely to use a UE VCA-QPS. Conclusion/UNASSIGNED:People with UE amputations have extensive information needs about UE VCA. The UE VCA-QPS aims to address patients' information needs and foster patient-centered care. Future research should assess whether the UE VCA-QPS facilitates patient-provider discussion and informed decision-making for UE VCA.

BACKGROUND:Solid organ transplant recipients (SOTRs) are less likely to mount an antibody response to SARS-CoV-2 mRNA vaccines. Understanding risk factors for impaired vaccine response can guide strategies for antibody testing and additional vaccine dose recommendations. METHODS:Using a nationwide observational cohort of 1031 SOTRs, we created a machine learning model to explore, identify, rank, and quantify the association of 19 clinical factors with antibody responses to 2 doses of SARS-CoV-2 mRNA vaccines. External validation of the model was performed using a cohort of 512 SOTRs at Houston Methodist Hospital. RESULTS:Mycophenolate mofetil use, a shorter time since transplant, and older age were the strongest predictors of a negative antibody response, collectively contributing to 76% of the model's prediction performance. Other clinical factors, including transplanted organ, vaccine type (mRNA-1273 versus BNT162b2), sex, race, and other immunosuppressants, showed comparatively weaker associations with an antibody response. This model showed moderate prediction performance, with an area under the receiver operating characteristic curve of 0.79 in our cohort and 0.67 in the external validation cohort. An online calculator based on our prediction model is available at http://transplantmodels.com/covidvaccine/. CONCLUSIONS:Our machine learning model helps understand which transplant patients need closer follow-up and additional doses of vaccine to achieve protective immunity. The online calculator based on this model can be incorporated into transplant providers' practice to facilitate patient-centric, precision risk stratification and inform vaccination strategies among SOTRs.