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Trials and Tribulations: Responses of ChatGPT to Patient Questions About Kidney Transplantation
Xu, Jingzhi; Mankowski, Michal; Vanterpool, Karen B; Strauss, Alexandra T; Lonze, Bonnie E; Orandi, Babak J; Stewart, Darren; Bae, Sunjae; Ali, Nicole; Stern, Jeffrey; Mattoo, Aprajita; Robalino, Ryan; Soomro, Irfana; Weldon, Elaina; Oermann, Eric K; Aphinyanaphongs, Yin; Sidoti, Carolyn; McAdams-DeMarco, Mara; Massie, Allan B; Gentry, Sommer E; Segev, Dorry L; Levan, Macey L
PMID: 39477825
ISSN: 1534-6080
CID: 5747132
Establishing Research Priorities in Geriatric Nephrology: A Delphi Study of Clinicians and Researchers
Butler, Catherine R; Nalatwad, Akanksha; Cheung, Katharine L; Hannan, Mary F; Hladek, Melissa D; Johnston, Emily A; Kimberly, Laura; Liu, Christine K; Nair, Devika; Ozdemir, Semra; Saeed, Fahad; Scherer, Jennifer S; Segev, Dorry L; Sheshadri, Anoop; Tennankore, Karthik K; Washington, Tiffany R; Wolfgram, Dawn; Ghildayal, Nidhi; Hall, Rasheeda; McAdams-DeMarco, Mara
RATIONALE & OBJECTIVE/OBJECTIVE:Despite substantial growth in the population of older adults with kidney disease, there remains a lack of evidence to guide clinical care for this group. The Kidney Disease and Aging Research Collaborative (KDARC) conducted a Delphi study to build consensus on research priorities for clinical geriatric nephrology. STUDY DESIGN/METHODS:Asynchronous modified Delphi study. SETTING & PARTICIPANTS/METHODS:Clinicians and researchers in the US and Canada with clinical experience and/or research expertise in geriatric nephrology. OUTCOME/RESULTS:Research priorities in geriatric nephrology. ANALYTICAL APPROACH/METHODS:In the first Delphi round, participants submitted free-text descriptions of research priorities considered important for improving the clinical care of older adults with kidney disease. Delphi moderators used inductive content analysis to group concepts into categories. In the second and third rounds, participants iteratively reviewed topics, selected their top 5 priorities, and offered comments used to revise categories. RESULTS:Among 121 who were invited, 57 participants (47%) completed the first Delphi round and 48 (84% of enrolled participants) completed all rounds. After 3 rounds, the 5 priorities with the highest proportion of agreement were: 1) Communication and Decision-Making about Treatment Options for Older Adults with Kidney Failure (69% agreement), 2) Quality of Life, Symptom Management, and Palliative Care (67%), 3) Frailty and Physical Function (54%), 4) Tailoring Therapies for Kidney Disease to Specific Needs of Older Adults (42%), and 5) Caregiver and Social Support (35%). Health equity and person-centricity were identified as cross-cutting features that informed all topics. LIMITATIONS/CONCLUSIONS:Relatively low response rate and limited participation by private practitioners and older clinicians and researchers. CONCLUSIONS:Experts in geriatric nephrology identified clinical research priorities with the greatest potential to improve care for older adults with kidney disease. These findings provide a roadmap for the geriatric nephrology community to harmonize and maximize the impact of research efforts.
PMID: 39603330
ISSN: 1523-6838
CID: 5759122
The burden of COVID-19 mortality among solid organ transplant recipients in the United States
Volesky-Avellaneda, Karena D; Pfeiffer, Ruth M; Shiels, Meredith S; Castenson, David; Miller, Jonathan M; Wang, Jeanny H; Yu, Kelly J; Avellaneda, Florent; Massie, Allan B; Segev, Dorry L; Israni, Ajay K; Snyder, Jon J; Engels, Eric A
Solid organ transplant recipients (SOTRs) have heightened risk of adverse COVID-19 outcomes due to immunosuppression and medical comorbidity. We quantified the burden of COVID-19 mortality in US SOTRs. A sample of deaths documented in the US solid organ transplant registry from June 2020 through December 2022 were linked to the National Death Index to identify COVID-19 deaths and weighted to represent all SOTR deaths during the study period. Among 505,757 SOTRs, 57,575 deaths occurred and based on the linkage, 12,396 (21.5%) were due to COVID-19. COVID-19 mortality was higher in males (mortality rate ratio [MRR]: 1.13), SOTRs aged 65 and older (MRR: 1.50 in ages 65-74 vs. ages 55-64), and non-Hispanic Black and Hispanic SOTRs (MRRs: 1.55 and 1.79 vs. non-Hispanic White SOTRs). Kidney and lung recipients had the highest COVID-19 mortality, followed by heart, then liver recipients. COVID-19 mortality also varied over time and across US states. Overall, SOTRs had 7-fold increased risk of COVID-19 death compared to the US general population. SOTRs comprised 0.13% of the US population but accounted for 1.46% of all US COVID-19 deaths. SOTRs experience greatly elevated COVID-19 mortality. Clinicians should continue to prioritize COVID-19 prevention and treatment in this high-risk population.
PMID: 39389313
ISSN: 1600-6143
CID: 5730212
For your consideration: Benefits of listing as willing to consider heart offers from donors with hepatitis C
Ruck, Jessica M; Rodriguez, Emily; Zhou, Alice L; Durand, Christine M; Massie, Allan B; Segev, Dorry L; Polanco, Antonio; Bush, Errol L; Kilic, Ahmet
BACKGROUND:Despite excellent outcomes of heart transplants from hepatitis C virus (HCV)-positive donors (D+), many candidates are not listed to even consider HCV D+ offers. METHODS:Using the Scientific Registry of Transplant Recipients, we identified adult (age ≥18 years) heart transplant candidates prevalent on the waitlist between 2018 and March 2023. We compared the likelihood of waitlist mortality or heart transplant by candidate willingness to consider HCV D+ offers using competing risk regression. RESULTS:We identified 19,415 heart transplant candidates, 68.9% of whom were willing to consider HCV D+ offers. Candidates willing to consider HCV D+ offers had a 37% lower risk of waitlist mortality (subhazard ratio [SHR], 0.63; 95% confidence interval [CI], 0.56-0.70; P < .001) than candidates not willing to consider HCV D+ offers, after adjustment for covariates and center-level clustering. Over the same period, heart transplant candidates willing to consider HCV D+ offers had a 21% higher likelihood of receiving a transplant (SHR, 1.21; 95% CI, 1.7-1.26; P < .001). As a result, among candidates willing to consider HCV D+ offers, 74.9% received a transplant and 6.1% died/deteriorated after 3 years, compared to 68.3% and 9.1%, respectively, of candidates not willing to consider HCV D+ offers. Lower waitlist mortality also was observed on subgroup analyses of candidates on temporary and durable mechanical circulatory support. CONCLUSIONS:Willingness to consider HCV D+ heart offers was associated with a 37% lower risk of waitlist mortality and a 21% higher likelihood of receiving a transplant. We urge providers to encourage candidates to list as being willing to consider offers from donors with hepatitis C to optimize their waitlist outcomes and access to transplantation.
PMID: 38945356
ISSN: 1097-685x
CID: 5695722
Antibody Response to Respiratory Syncytial Virus Vaccination in Immunocompromised Persons
Karaba, Andrew H; Hage, Camille; Sengsouk, Isabella; Balasubramanian, Prasanthy; Segev, Dorry L; Tobian, Aaron A A R; Werbel, William A
PMID: 39786402
ISSN: 1538-3598
CID: 5805202
It's Getting Better All the Time: Decreased Cumulative Incidence of Waitlist Mortality in Pediatric Candidates Following 2018 Heart Allocation Policy Change
Donnelly, Conor; Motter, Jennifer D; Patel, Suhani S; Long, Jane J; Liyanage, Luckmini; Varma, Manu; Singh, Rakesh K; Segev, Dorry L; Massie, Allan B
PURPOSE/OBJECTIVE:In October 2018, the OPTN changed adult heart transplant (HT) allocation policy, increasing the number of adult candidates that had higher priority than pediatric candidates, potentially disadvantaging pediatric waitlist registrants. METHODS:To understand the impact of this policy change, we used SRTR data to identify 1469 pre-policy (7/2016-9/2018) and 2901 (10/2018-12/2022) post-policy pediatric (< 18 years) HT registrants. We quantified mortality and transplant risks using weighted cause-specific hazard models, and then using weighted competing risks regression. We further stratified these analyses by age to understand risks for those in direct competition with adults for organs (≥ 12 years). RESULTS:, p = 0.02). Post policy, 1-year transplant rate did not change in those < 12years (68.2%-71.0%, p = 0.77), but in those ≥ 12years, transplant rate increased (77.3%-81.0%, p = 0.003). CONCLUSIONS:Mortality on the waitlist decreased and access to HT for pediatric registrants did not decline following the 2018 policy change. The decreased mortality rate may reflect changes in patient casemix and/or improved patient care. Continued surveillance is important in ensuring equity in pediatric, and adult, HT.
PMID: 39778051
ISSN: 1399-3046
CID: 5779362
A competing risks model to estimate the risk of graft failure and patient death after kidney transplantation using continuous donor-recipient age combinations
Coemans, Maarten; Tran, Thuong Hien; Döhler, Bernd; Massie, Allan B; Verbeke, Geert; Segev, Dorry L; Gentry, Sommer E; Naesens, Maarten
Graft failure and recipient death with functioning graft are important competing outcomes after kidney transplantation. Risk prediction models typically censor for the competing outcome thereby overestimating the cumulative incidence. The magnitude of this overestimation is not well described in real-world transplant data. This retrospective cohort study analyzed data from the European Collaborative Transplant Study (n = 125 250) and from the American Scientific Registry of Transplant Recipients (n = 190 258). Separate cause-specific hazard models using donor and recipient age as continuous predictors were developed for graft failure and recipient death. The hazard of graft failure increased quadratically with increasing donor age and decreased decaying with increasing recipient age. The hazard of recipient death increased linearly with increasing donor and recipient age. The cumulative incidence overestimation due to competing risk-censoring was largest in high-risk populations for both outcomes (old donors/recipients), sometimes amounting to 8.4 and 18.8 percentage points for graft failure and recipient death, respectively. In our illustrative model for posttransplant risk prediction, the absolute risk of graft failure and death is overestimated when censoring for the competing event, mainly in older donors and recipients. Prediction models for absolute risks should treat graft failure and death as competing events.
PMID: 39111667
ISSN: 1600-6143
CID: 5730732
Medical large language models are vulnerable to data-poisoning attacks
Alber, Daniel Alexander; Yang, Zihao; Alyakin, Anton; Yang, Eunice; Rai, Sumedha; Valliani, Aly A; Zhang, Jeff; Rosenbaum, Gabriel R; Amend-Thomas, Ashley K; Kurland, David B; Kremer, Caroline M; Eremiev, Alexander; Negash, Bruck; Wiggan, Daniel D; Nakatsuka, Michelle A; Sangwon, Karl L; Neifert, Sean N; Khan, Hammad A; Save, Akshay Vinod; Palla, Adhith; Grin, Eric A; Hedman, Monika; Nasir-Moin, Mustafa; Liu, Xujin Chris; Jiang, Lavender Yao; Mankowski, Michal A; Segev, Dorry L; Aphinyanaphongs, Yindalon; Riina, Howard A; Golfinos, John G; Orringer, Daniel A; Kondziolka, Douglas; Oermann, Eric Karl
The adoption of large language models (LLMs) in healthcare demands a careful analysis of their potential to spread false medical knowledge. Because LLMs ingest massive volumes of data from the open Internet during training, they are potentially exposed to unverified medical knowledge that may include deliberately planted misinformation. Here, we perform a threat assessment that simulates a data-poisoning attack against The Pile, a popular dataset used for LLM development. We find that replacement of just 0.001% of training tokens with medical misinformation results in harmful models more likely to propagate medical errors. Furthermore, we discover that corrupted models match the performance of their corruption-free counterparts on open-source benchmarks routinely used to evaluate medical LLMs. Using biomedical knowledge graphs to screen medical LLM outputs, we propose a harm mitigation strategy that captures 91.9% of harmful content (F1 = 85.7%). Our algorithm provides a unique method to validate stochastically generated LLM outputs against hard-coded relationships in knowledge graphs. In view of current calls for improved data provenance and transparent LLM development, we hope to raise awareness of emergent risks from LLMs trained indiscriminately on web-scraped data, particularly in healthcare where misinformation can potentially compromise patient safety.
PMID: 39779928
ISSN: 1546-170x
CID: 5782182
Contemporary prevalence and practice patterns of out-of-sequence kidney allocation
Liyanage, Luckmini N; Akizhanov, Daniyar; Patel, Suhani S; Segev, Dorry L; Massie, Allan B; Stewart, Darren E; Gentry, Sommer E
Since 2021, the Organ Procurement and Transplantation Network has reported a nearly 10-fold rise in out-of-sequence (OOS) kidney allocation, generating concern and halting development of continuous distribution policies. We report contemporary (2022-2023) practice patterns in OOS allocation using Organ Procurement and Transplantation Network data. We examined in sequence vs OOS donors with multivariable logistic regression and skipped vs OOS-accepting recipients with conditional logistic regression. Nearly 20% of kidney placements were OOS, varying from 0% to 43% acsoss organ procurement organizations; the 5 highest OOS-organ procurement organizations accounted for 29% of all OOS. Of OOS kidneys, 33% were declined ≥100 times in the standard allocation sequence and 51% were declined by ≥10 centers before OOS allocation began; 4.5% were made without any in-sequence declines. Nearly, all OOS offers were open offers. OOS kidneys were more likely to be from female, Black, older, donation after cardiac death, hypertensive, diabetic, and elevated creatinine donors. Candidates receiving OOS kidneys were more likely female, Asian, and older than skipped candidates. Higher-volume centers and centers with more White, fewer Hispanic, and more educated waiting list patients underwent transplantation disproportionately with more OOS kidneys. These findings suggest that the current, highly variable, discretionary use of OOS might exacerbate disparities, yet the impact of OOS on organ utilization cannot be determined with data now collected.
PMID: 39182614
ISSN: 1600-6143
CID: 5729452
A third COVID-19 vaccine dose in kidney transplant recipients induces antibody response to vaccine and Omicron variants but shows limited Ig subclass switching
Lee, Jenny M; Sachithanandham, Jaiprasath; Lee, John S; Shapiro, Janna R; Li, Maggie; Sitaris, Ioannis; Peralta, Stephanie R; Wouters, Camille; Cox, Andrea L; Segev, Dorry L; Durand, Christine M; Robien, Mark; Tobian, Aaron A R; Karaba, Andrew H; Blankson, Joel N; Werbel, William A; Pekosz, Andrew; Klein, Sabra L
Solid organ transplant recipients (SOTRs) suffer more frequent and more severe infections due to their compromised immune responses resulting from immunosuppressive treatments designed to prevent organ rejection. Pharmacological immunosuppression can adversely affect immune responses to vaccination. A cohort of kidney transplant recipients (KTRs) received their third dose of ancestral, monovalent COVID-19 vaccine in the context of a clinical trial and antibody responses to the vaccine strain, as well as two Omicron variants BA.1 and BA.5 were investigated and compared with healthy controls who also received a third dose of mRNA vaccine (HCs). Total IgG and live virus neutralizing antibody titers were reduced in KTRs compared with controls for all variants. KTRs displayed altered IgG subclass switching, with significantly lower IgG3 antibodies. Responses in KTRs were also very heterogeneous, with some individuals showing strong responses but a significant number showing no Omicron-specific neutralizing antibodies. Taken together, immune responses after COVID-19 vaccination in KTRs were not only lower than HCs but highly variable, indicating that simply increasing the number of vaccine doses alone may not be sufficient to provide greater protection in this population. These findings underscore the need for tailored vaccination strategies for immunosuppressed populations, such as KTRs. Alternative formulations and doses of COVID-19 vaccines should be considered for people with severely compromised immune systems, as more frequent vaccinations may not significantly improve the response, especially regarding neutralizing antibodies.IMPORTANCEThis study addresses the challenges faced by kidney transplant recipients (KTRs) in mounting effective immune responses against COVID-19. By evaluating the antibody responses to a third dose of monovalent mRNA COVID-19 vaccine and its effectiveness against Omicron subvariants (BA.1 and BA.5), this study reveals significant reductions in both binding and neutralizing antibodies in KTRs compared with healthy controls. The research highlights altered IgG subclass switching and heterogeneous responses within the KTR population. Reduced recognition of variants, coupled with differences in IgG subclasses, decreases both the quality and quantity of protective antibodies after vaccination in KTRs. These findings underscore the need for tailored vaccination strategies for immunosuppressed populations, such as KTRs. Alternative formulations and doses of COVID-19 vaccines should be considered for people with severely compromised immune systems, as more frequent vaccinations may not significantly improve the response, especially regarding neutralizing antibodies.
PMID: 39887251
ISSN: 2165-0497
CID: 5781262