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Perception of Transplant Surgery and the Pursuit of a Career in Transplant Surgery Among US General Surgery Residents [Meeting Abstract]
Loseth, Caitlin; Qin, Caroline; Zeiser, Laura; Segev, Dorry; Dageforde, Leigh Anne; Watkins, Anthony; Collins, Kelly; Glorioso, Jaime; Quillin, R. Cutler, III; Garonzik-Wang, Jacqueline; Tevar, Amit
ISI:000739470700138
ISSN: 1600-6135
CID: 5133652
Life expectancy without a transplant for status 1A liver transplant candidates
Wood, Nicholas L; VanDerwerken, Douglas N; King, Elizabeth A; Segev, Dorry L; Gentry, Sommer E
Status 1A liver transplant candidates are given the highest medical priority for the allocation of deceased donor livers. Organ Procurement and Transplantation Network (OPTN) policy requires physicians to certify that a candidate has a life expectancy without a transplant of less than 7Â days for that candidate to be given status 1A. Additionally, candidates receiving status 1A must have one of six medical conditions listed in policy. Using Scientific Registry of Transplant Recipients data from all prevalent liver transplant candidates from 2010 to 2020, we used a bias-corrected Kaplan-Meier model to calculate the survival of status 1A candidates and to determine their life expectancy without a transplant. We found that status 1A candidates have a life expectancy without a transplant of 24 (95% CI 20-46) days-over three times longer than what policy requires for status 1A designation. We repeated the analysis for subgroups of status 1A candidates based on the medical conditions that grant status 1A. We found that none of these subgroups met the life expectancy requirement. Harmonizing OPTN policy with observed data would sustain the integrity of the allocation process.
PMCID:8720063
PMID: 34487636
ISSN: 1600-6143
CID: 5127622
Booster-dose SARS-CoV-2 vaccination in patients with autoimmune disease: a case series [Letter]
Connolly, Caoilfhionn M; Teles, Mayan; Frey, Sarah; Boyarsky, Brian J; Alejo, Jennifer L; Werbel, William A; Albayda, Jemima; Christopher-Stine, Lisa; Garonzik-Wang, Jacqueline; Segev, Dorry L; Paik, Julie J
PMID: 34493492
ISSN: 1468-2060
CID: 5127632
Antibody response to 2-dose SARS-CoV-2 mRNA vaccination in pediatric solid organ transplant recipients [Letter]
Qin, Caroline X; Auerbach, Scott R; Charnaya, Olga; Danziger-Isakov, Lara A; Ebel, Noelle H; Feldman, Amy G; Hsu, Evelyn K; McAteer, John; Mohammad, Saeed; Perito, Emily R; Thomas, Ashley M; Chiang, Teresa P Y; Garonzik-Wang, Jacqueline M; Segev, Dorry L; Mogul, Douglas B
PMCID:8653193
PMID: 34517430
ISSN: 1600-6143
CID: 5127652
The Effect of Acuity Circles on Deceased Donor Transplant and Offer Rates Across Model for End-Stage Liver Disease Scores and Exception Statuses
Wey, Andrew; Noreen, Samantha; Gentry, Sommer; Cafarella, Matt; Trotter, James; Salkowski, Nicholas; Segev, Dorry; Israni, Ajay; Kasiske, Bertram; Hirose, Ryutaro; Snyder, Jon
Acuity circles (AC), the new liver allocation system, was implemented on February 4, 2020. Difference-in-differences analyses estimated the effect of AC on adjusted deceased donor transplant and offer rates across Pediatric End-Stage Liver Disease (PELD) and Model for End-Stage Liver Disease (MELD) categories and types of exception statuses. The offer rates were the number of first offers, top 5 offers, and top 10 offers on the match run per person-year. Each analysis adjusted for candidate characteristics and only used active candidate time on the waiting list. The before-AC period was February 4, 2019, to February 3, 2020, and the after-AC period was February 4, 2020, to February 3, 2021. Candidates with PELD/MELD scores 29 to 32 and PELD/MELD scores 33 to 36 had higher transplant rates than candidates with PELD/MELD scores 15 to 28 after AC compared with before AC (transplant rate ratios: PELD/MELD scores 29-32, 2.34 3.324.71 ; PELD/MELD scores 33-36, 1.70 2.513.71 ). Candidates with PELD/MELD scores 29 or higher had higher offer rates than candidates with PELD/MELD scores 15 to 28, and candidates with PELD/MELD scores 29 to 32 had the largest difference (offer rate ratios [ORR]: first offers, 2.77 3.955.63 ; top 5 offers, 3.90 4.394.95 ; top 10 offers, 4.85 5.305.80 ). Candidates with exceptions had lower offer rates than candidates without exceptions for offers in the top 5 (ORR: hepatocellular carcinoma [HCC], 0.68 0.770.88 ; non-HCC, 0.73 0.810.89 ) and top 10 (ORR: HCC, 0.59 0.650.71 ; non-HCC, 0.69 0.750.81 ). Recipients with PELD/MELD scores 15 to 28 and an HCC exception received a larger proportion of donation after circulatory death (DCD) donors after AC than before AC, although the differences in the liver donor risk index were comparatively small. Thus, candidates with PELD/MELD scores 29 to 34 and no exceptions had better access to transplant after AC, and donor quality did not notably change beyond the proportion of DCD donors.
PMID: 34482614
ISSN: 1527-6473
CID: 5127612
Cognitive Impairment and Physical Frailty in Patients With Cirrhosis
Berry, Kacey; Duarte-Rojo, Andres; Grab, Joshua D; Dunn, Michael A; Boyarsky, Brian J; Verna, Elizabeth C; Kappus, Matthew R; Volk, Michael L; McAdams-DeMarco, Mara; Segev, Dorry L; Ganger, Daniel R; Ladner, Daniela P; Shui, Amy; Tincopa, Monica A; Rahimi, Robert S; Lai, Jennifer C
Physical frailty and impaired cognition are common in patients with cirrhosis. Physical frailty can be assessed using performance-based tests, but the extent to which impaired cognition may impact performance is not well characterized. We assessed the relationship between impaired cognition and physical frailty in patients with cirrhosis. We enrolled 1,623 ambulatory adult patients with cirrhosis waiting for liver transplantation at 10 sites. Frailty was assessed with the liver frailty index (LFI; "frail," LFI ≥ 4.4). Cognition was assessed at the same visit with the number connection test (NCT); continuous "impaired cognition" was examined in primary analysis, with longer NCT (more seconds) indicating worse impaired cognition. For descriptive statistics, "impaired cognition" was NCT ≥ 45 seconds. Linear regression associated frailty and impaired cognition; competing risk regression estimated subhazard ratios (sHRs) of wait-list mortality (i.e., death/delisting for sickness). Median NCT was 41 seconds, and 42% had impaired cognition. Median LFI (4.2 vs. 3.8) and rates of frailty (38% vs. 20%) differed between those with and without impaired cognition. In adjusted analysis, every 10-second NCT increase associated with a 0.08-LFI increase (95% confidence interval [CI], 0.07-0.10). In univariable analysis, both frailty (sHR, 1.63; 95% CI, 1.43-1.87) and impaired cognition (sHR, 1.07; 95% CI, 1.04-1.10) associated with wait-list mortality. After adjustment, frailty but not impaired cognition remained significantly associated with wait-list mortality (sHR, 1.55; 95% CI, 1.33-1.79). Impaired cognition mediated 7.4% (95% CI, 2.0%-16.4%) of the total effect of frailty on 1-year wait-list mortality. Conclusion: Patients with cirrhosis with higher impaired cognition displayed higher rates of physical frailty, yet frailty independently associated with wait-list mortality while impaired cognition did not. Our data provide evidence for using the LFI to understand mortality risk in patients with cirrhosis, even when concurrent impaired cognition varies.
PMCID:8710786
PMID: 34558844
ISSN: 2471-254x
CID: 5127682
Offer Acceptance Patterns for Liver Donors Aged 70 and Older
Haugen, Christine E; Bowring, Mary G; Jackson, Kyle R; Garonzik-Wang, Jacqueline; Massie, Allan B; Chiang, Teresa Po-Yu; Philosophe, Benjamin; Segev, Dorry L; Halazun, Karim J
Despite a documented survival benefit, older liver donor (OLD, age ≥70) graft offers are frequently declined, with utilization worsening over the last decade. To understand how offer acceptance varies by center, we studied 1113 eventually transplanted OLD grafts from 2009 to 2017 using Scientific Registry of Transplant Recipients (SRTR) data and random-intercept multilevel logistic regression. To understand how center-level acceptance of OLD graft offers might be associated with waitlist and posttransplant outcomes, we studied all adult, actively listed, liver-only candidates and recipients during the study period using Poisson regression (transplant rate), competing risks regression (waitlist mortality), and Cox regression (posttransplant mortality). Among 117 centers, OLD offer acceptance ranged from 0 (23 centers) to 95 acceptances, with a median odds ratio of 2.88. Thus, a candidate may be three times as likely to receive an OLD graft simply by listing at a different center. Centers in the highest quartile (Q4) of OLD acceptance (accepted 39% of OLD offers) accepted more nationally shared organs (Q4 versus Q1: 14.1% versus 0.0%, P < 0.001) and had higher annual liver transplant volume (Q4 versus Q1: 80 versus 21, P < 0.001). After adjustment, nationally shared OLD offers (adjusted odds ratio [aOR]: 0.16, 95% confidence interval [CI]: 0.13-0.20) and offers to centers with higher median Model for End-Stage Liver Disease (MELD) at transplant (aOR: 0.74, 95% CI: 0.62-0.87) were less likely to be accepted. OLD offers to centers with higher annual transplant volume were more likely to be accepted (aOR: 1.21, 95% CI: 1.14-1.30). Additionally, candidates listed at centers within the highest quartile of OLD graft offer acceptance had higher deceased donor liver transplantation (DDLT) rates (adjusted incidence rate ratio: 1.45, 95% CI: 1.41-1.50), lower waitlist mortality (adjusted subhazard ratio: 0.76, 95% CI: 0.72-0.76), and similar posttransplant survival (adjusted hazard ratio: 0.93, 95% CI: 0.86-1.01) when compared with those listed at centers in the lowest quartile of OLD graft offer acceptance. The wide variation in OLD offer acceptance supports the need for optimizing the organ offer process and efficiently directing OLD offers to centers more likely to use them.
PMID: 34559954
ISSN: 1527-6473
CID: 5127692
Posttransplant Diabetes Mellitus and Immunosuppression Selection in Older and Obese Kidney Recipients
Axelrod, David A; Cheungpasitporn, Wisit; Bunnapradist, Suphamai; Schnitzler, Mark A; Xiao, Huiling; McAdams-DeMarco, Mara; Caliskan, Yasar; Bae, Sunjae; Ahn, JiYoon B; Segev, Dorry L; Lam, Ngan N; Hess, Gregory P; Lentine, Krista L
Rationale & Objective/UNASSIGNED:Posttransplant diabetes mellitus (DM) after kidney transplantation increases morbidity and mortality, particularly in older and obese recipients. We aimed to examine the impact of immunosuppression selection on the risk of posttransplant DM among both older and obese kidney transplant recipients. Study Design/UNASSIGNED:Retrospective database study. Setting & Participants/UNASSIGNED:Kidney-only transplant recipients aged ≥18 years from 2005 to 2016 in the United States from US Renal Data System records, which integrate Organ Procurement and Transplantation Network/United Network for Organ Sharing records with Medicare billing claims. Exposures/UNASSIGNED:Various immunosuppression regimens in the first 3 months after transplant. Outcomes/UNASSIGNED:Development of DM >3 months-to-1 year posttransplant. Analytical Approach/UNASSIGNED:We used multivariable Cox regression to compare the incidence of posttransplant DM by immunosuppression regimen with the reference regimen of thymoglobulin (TMG) or alemtuzumab (ALEM) with tacrolimus + mycophenolic acid + prednisone using inverse propensity weighting. Results/UNASSIGNED:(aHR, 0.63; 95% CI, 0.46-0.87). Limitations/UNASSIGNED:Retrospective study and lacked data on immunosuppression levels. Conclusions/UNASSIGNED:The beneficial impact of steroid avoidance using tacrolimus on posttransplant DM appears to differ by patient age and induction regimen.
PMCID:8767140
PMID: 35072042
ISSN: 2590-0595
CID: 5127922
Impact of COVID-19-associated Mucormycosis in Kidney Transplant Recipients: A Multicenter Cohort Study
Meshram, Hari Shankar; Kute, Vivek B; Yadav, Dinesh Kumar; Godara, Suraj; Dalal, Sonal; Guleria, Sandeep; Bhalla, Anil K; Pathak, Vivek; Anandh, Urmila; Bansal, Shyam; Patel, Himanshu; Hegde, Umapati; Dave, Ruchir; Chauhan, Sanshriti; Dave, Rutul; Kumar, Deepak; Jamale, Tukaram; Bajpai, Divya; Kenwar, Deepesh; Sil, Keshab; Vardhan, Harsh; Balwani, Manish; Patil, Mayur; Deshpande, Rushi; Nandwani, Ashish; Jha, Pranaw Kumar; Jain, Manish; Das, Pratik; Mishra, Vineet; Segev, Dorry L; Kher, Vijay
Background/UNASSIGNED:COVID-19-associated mucormycosis (CAM) is a recently emerging entity. There is a lack of reports of CAM in organ transplant recipients. Methods/UNASSIGNED:We conducted a multicenter (n = 18) retrospective research in India during November 2020 to July 2021. The purpose of this study was to explore the clinical spectrum, outcome and risk factors for mortality of CAM in kidney transplant recipients (KTRs). Results/UNASSIGNED:= 0.05] was associated with mortality. The median follow-up of the study was 60 (35-60) d. Conclusions/UNASSIGNED:We describe the largest case series of CAM in KTRs. Morality in pulmonary CAM is extremely high. Severe COVID-19 pose extra risk for the development of CAM and associated mortality. Our report will help in better understanding the conundrum and management of CAM.
PMCID:8670583
PMID: 34912944
ISSN: 2373-8731
CID: 5127792
Frailty, mortality, and health care utilization after liver transplantation: From the Multicenter Functional Assessment in Liver Transplantation (FrAILT) Study
Lai, Jennifer C; Shui, Amy M; Duarte-Rojo, Andres; Ganger, Daniel R; Rahimi, Robert S; Huang, Chiung-Yu; Yao, Frederick; Kappus, Matthew; Boyarsky, Brian; McAdams-Demarco, Mara; Volk, Michael L; Dunn, Michael A; Ladner, Daniela P; Segev, Dorry L; Verna, Elizabeth C; Feng, Sandy
BACKGROUND AND AIMS/OBJECTIVE:Frailty is a well-established risk factor for poor outcomes in patients with cirrhosis awaiting liver transplantation (LT), but whether it predicts outcomes among those who have undergone LT is unknown. APPROACH AND RESULTS/UNASSIGNED:Adult LT recipients from 8 US centers (2012-2019) were included. Pre-LT frailty was assessed in the ambulatory setting using the Liver Frailty Index (LFI). "Frail" was defined by an optimal cut point of LFI ≥ 4.5. We used the 75th percentile to define "prolonged" post-LT length of stay (LOS; ≥12 days), intensive care unit (ICU) days (≥4 days), and inpatient days within 90 post-LT days (≥17 days). Of 1166 LT recipients, 21% were frail pre-LT. Cumulative incidence of death at 1 and 5 years was 6% and 16% for frail and 4% and 10% for nonfrail patients (overall log-rank p = 0.02). Pre-LT frailty was associated with an unadjusted 62% increased risk of post-LT mortality (95% CI, 1.08-2.44); after adjustment for body mass index, HCC, donor age, and donation after cardiac death status, the HR was 2.13 (95% CI, 1.39-3.26). Patients who were frail versus nonfrail experienced a higher adjusted odds of prolonged LT LOS (OR, 2.00; 95% CI, 1.47-2.73), ICU stay (OR, 1.56; 95% CI, 1.12-2.14), inpatient days within 90 post-LT days (OR, 1.72; 95% CI, 1.25-2.37), and nonhome discharge (OR, 2.50; 95% CI, 1.58-3.97). CONCLUSIONS:Compared with nonfrail patients, frail LT recipients had a higher risk of post-LT death and greater post-LT health care utilization, although overall post-LT survival was acceptable. These data lay the foundation to investigate whether targeting pre-LT frailty will improve post-LT outcomes and reduce resource utilization.
PMID: 34862808
ISSN: 1527-3350
CID: 5127772