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The effect of induction immunosuppression for kidney transplant on the latent HIV reservoir
Benner, Sarah E; Eby, Yolanda; Zhu, Xianming; Fernandez, Reinaldo E; Patel, Eshan U; Ruff, Jessica E; Habtehyimer, Feben; Schmidt, Haley A; Kirby, Charles S; Hussain, Sarah; Ostrander, Darin; Desai, Niraj M; Florman, Sander; Rana, Meenakshi M; Friedman-Moraco, Rachel; Pereira, Marcus R; Mehta, Shikha; Stock, Peter; Gilbert, Alexander; Morris, Michele I; Stosor, Valentina; Mehta, Sapna A; Small, Catherine B; Ranganna, Karthik; Santos, Carlos Aq; Aslam, Saima; Husson, Jennifer; Malinis, Maricar; Elias, Nahel; Blumberg, Emily A; Doby, Brianna L; Massie, Allan B; Smith, Melissa L; Odim, Jonah; Quinn, Thomas C; Laird, Gregory M; Siliciano, Robert F; Segev, Dorry L; Redd, Andrew D; Durand, Christine M; Tobian, Aaron Ar
The HIV latent viral reservoir (LVR) remains a major challenge in the effort to find a cure for HIV. There is interest in lymphocyte-depleting agents, used in solid organ and bone marrow transplantation to reduce the LVR. This study evaluated the LVR and T cell receptor repertoire in HIV-infected kidney transplant recipients using intact proviral DNA assay and T cell receptor sequencing in patients receiving lymphocyte-depleting or lymphocyte-nondepleting immunosuppression induction therapy. CD4+ T cells and intact and defective provirus frequencies decreased following lymphocyte-depleting induction therapy but rebounded to near baseline levels within 1 year after induction. In contrast, these biomarkers were relatively stable over time in the lymphocyte-nondepleting group. The lymphocyte-depleting group had early TCRβ repertoire turnover and newly detected and expanded clones compared with the lymphocyte-nondepleting group. No differences were observed in TCRβ clonality and repertoire richness between groups. These findings suggest that, even with significant decreases in the overall size of the circulating LVR, the reservoir can be reconstituted in a relatively short period of time. These results, while from a relatively unique population, suggest that curative strategies aimed at depleting the HIV LVR will need to achieve specific and durable levels of HIV-infected T cell depletion.
PMID: 36345940
ISSN: 2379-3708
CID: 5357162
Maximizing the use of potential donors through increased rates of family approach for authorization
Levan, Macey L; Massie, Allan B; Trahan, Chad; Hewlett, Jonathan; Strout, Tyler; Klitenic, Samantha B; Vanterpool, Karen B; Segev, Dorry L; Adams, Bradley L; Niles, Patricia
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 (Ï = 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.
PMID: 36062407
ISSN: 1600-6143
CID: 5336932
Increased Logistical Burden in Circle-based Kidney Allocation
Wood, Nicholas L; VanDerwerken, Douglas N; Segev, Dorry L; Gentry, Sommer E
PMID: 36173652
ISSN: 1534-6080
CID: 5334452
Delirium, changes in cognitive function, and risk of diagnosed dementia after kidney transplantation
Chu, Nadia M; Bae, Sunjae; Chen, Xiaomeng; Ruck, Jessica; Gross, Alden L; Albert, Marilyn; Neufeld, Karin J; Segev, Dorry L; McAdams-DeMarco, Mara A
Kidney transplant (KT) recipients with delirium, a preventable surgical complication, are likely to reap cognitive benefits from restored kidney function, but may be more vulnerable to longer-term neurotoxic stressors post-KT (i.e., aging, immunosuppression). In this prospective cohort study, we measured delirium (chart-based), global cognitive function (3MS), and executive function (Trail Making Test Part B minus Part A) in 894 recipients (2009-2021) at KT, 1/3/6-months, 1-year, and annually post-KT. Dementia was ascertained using linked Medicare claims. We described repeated measures of cognitive performance (mixed effects model) and quantified dementia risk (Fine & Gray competing risk) by post-KT delirium. Of 894 recipients, 43(4.8%) had post-KT delirium. Delirium was not associated with global cognitive function at KT (difference = -3.2 points, 95%CI: -6.7, 0.4) or trajectories post-KT (0.03 points/month, 95%CI: -0.27, 0.33). Delirium was associated with worse executive function at KT (55.1 s, 95%CI: 25.6, 84.5), greater improvements in executive function <2 years post-KT (-2.73 s/month, 95%CI: -4.46,-0.99), and greater decline in executive function >2 years post-KT (1.72 s/month, 95%CI: 0.22, 3.21). Post-KT delirium was associated with over 7-fold greater risk of dementia post-KT (adjusted subdistribution hazard ratio = 7.84, 95%CI: 1.22, 50.40). Transplant centers should be aware of cognitive risks associated with post-KT delirium and implement available preventative interventions to reduce delirium risk.
PMID: 35980673
ISSN: 1600-6143
CID: 5331452
Sex-Adjusted Model for End-stage Liver Disease Scores for Liver Transplant Allocation
Wood, Nicholas L; Segev, Dorry L; Gentry, Sommer E
PMID: 36069929
ISSN: 2168-6262
CID: 5332442
Antibody response to a third dose of SARS-CoV-2 vaccine in heart and lung transplant recipients [Letter]
Alejo, Jennifer L; Ruck, Jessica M; Chiang, Teresa P Y; Abedon, Aura T; Kim, Jake D; Avery, Robin K; Tobian, Aaron A R; Warren, Daniel S; Levan, Macey L; Massie, Allan B; Garonzik-Wang, Jacqueline M; Segev, Dorry L; Werbel, William A
PMID: 36073912
ISSN: 1399-0012
CID: 5332532
Incidence of SARS-CoV-2 infection among unvaccinated US adults during the Omicron wave [Letter]
Alejo, Jennifer L; Chiang, Teresa Py; Mitchell, Jonathan; Abedon, Aura T; Jefferis, Alexa A; Werbel, William; Massie, Allan B; Makary, Martin A; Segev, Dorry L
PMID: 35946381
ISSN: 1365-2796
CID: 5286902
Predicting a Positive Antibody Response After 2 SARS-CoV-2 mRNA Vaccines in Transplant Recipients: A Machine Learning Approach With External Validation
Alejo, Jennifer L; Mitchell, Jonathan; Chiang, Teresa P-Y; Chang, Amy; Abedon, Aura T; Werbel, William A; Boyarsky, Brian J; Zeiser, Laura B; Avery, Robin K; Tobian, Aaron A R; Levan, Macey L; Warren, Daniel S; Massie, Allan B; Moore, Linda W; Guha, Ashrith; Huang, Howard J; Knight, Richard J; Gaber, Ahmed Osama; Ghobrial, Rafik Mark; Garonzik-Wang, Jacqueline M; Segev, Dorry L; Bae, Sunjae
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.
PMID: 35859275
ISSN: 1534-6080
CID: 5279212
Hurricanes and Mortality among Patients Receiving Dialysis
Blum, Matthew F; Feng, Yijing; Anderson, G Brooke; Segev, Dorry L; McAdams-DeMarco, Mara; Grams, Morgan E
BACKGROUND:Hurricanes are severe weather events that can disrupt power, water, and transportation systems. These disruptions may be deadly for patients requiring maintenance dialysis. We hypothesized that the mortality risk among patients requiring maintenance dialysis would be increased in the 30 days after a hurricane. METHODS:Patients registered as requiring maintenance dialysis in the United States Renal Data System who initiated treatment between January 1, 1997 and December 31, 2017 in one of 108 hurricane-afflicted counties were followed from dialysis initiation until transplantation, dialysis discontinuation, a move to a nonafflicted county, or death. Hurricane exposure was determined as a tropical cyclone event with peak local wind speeds ≥64 knots in the county of a patient's residence. The risk of death after the hurricane was estimated using time-varying Cox proportional hazards models. RESULTS:The median age of the 187,388 patients was 65 years (IQR, 53-75) and 43.7% were female. There were 27 hurricanes and 105,398 deaths in 529,339 person-years of follow-up on dialysis. In total, 29,849 patients were exposed to at least one hurricane. Hurricane exposure was associated with a significantly higher mortality after adjusting for demographic and socioeconomic covariates (hazard ratio, 1.13; 95% confidence interval, 1.05-1.22). The association persisted when adjusting for seasonality. CONCLUSIONS:Patients requiring maintenance dialysis have a higher mortality risk in the 30 days after a hurricane.
PMID: 35835459
ISSN: 1533-3450
CID: 5279972
Immunogenicity of Ad26.COV2.S prime and two subsequent doses of mRNA SARS-CoV-2 vaccines in solid organ transplant recipients: A case series [Letter]
Chang, Amy; Mitchell, Jonathan; Alejo, Jennifer L; Chiang, Teresa P Y; Abedon, Aura T; Kim, Jake D; Avery, Robin K; Tobian, Aaron A R; Levan, Macey L; Warren, Daniel S; Garonzik-Wang, Jacqueline M; Massie, Allan B; Segev, Dorry L; Werbel, William A
PMID: 35822545
ISSN: 1399-0012
CID: 5279872