Michal A. Mankowski, Ian S. Jaffe, Jingzhi Xu, Sunjae Bae, Eric K. Oermann, Yindalon Aphinyanaphongs, Mara A. McAdams-DeMarco, Bonnie E. Lonze, Babak J. Orandi, Darren Stewart, Macey Levan, Allan Massie, Sommer Gentry, Dorry L. Segev
Introduction
ChatGPT has shown the ability to answer clinical questions in general medicine but may be constrained by the specialized nature of kidney transplantation. Thus, it is important to explore how ChatGPT can be used in kidney transplantation and how its knowledge compares to human respondents.
Methods
We prompted ChatGPT versions 3.5, 4, and 4 Visual (4 V) with 12 multiple-choice questions related to six kidney transplant cases from 2013 to 2015 American Society of Nephrology (ASN) fellowship program quizzes. We compared the performance of ChatGPT with US nephrology fellowship program directors, nephrology fellows, and the audience of the ASN's annual Kidney Week meeting.
Results
Overall, ChatGPT 4 V correctly answered 10 out of 12 questions, showing a performance level comparable to nephrology fellows (group majority correctly answered 9 of 12 questions) and training program directors (11 of 12). This surpassed ChatGPT 4 (7 of 12 correct) and 3.5 (5 of 12). All three ChatGPT versions failed to correctly answer questions where the consensus among human respondents was low.
Conclusion
Each iterative version of ChatGPT performed better than the prior version, with version 4 V achieving performance on par with nephrology fellows and training program directors. While it shows promise in understanding and answering kidney transplantation questions, ChatGPT should be seen as a complementary tool to human expertise rather than a replacement.
{"title":"ChatGPT Solving Complex Kidney Transplant Cases: A Comparative Study With Human Respondents","authors":"Michal A. Mankowski, Ian S. Jaffe, Jingzhi Xu, Sunjae Bae, Eric K. Oermann, Yindalon Aphinyanaphongs, Mara A. McAdams-DeMarco, Bonnie E. Lonze, Babak J. Orandi, Darren Stewart, Macey Levan, Allan Massie, Sommer Gentry, Dorry L. Segev","doi":"10.1111/ctr.15466","DOIUrl":"https://doi.org/10.1111/ctr.15466","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>ChatGPT has shown the ability to answer clinical questions in general medicine but may be constrained by the specialized nature of kidney transplantation. Thus, it is important to explore how ChatGPT can be used in kidney transplantation and how its knowledge compares to human respondents.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We prompted ChatGPT versions 3.5, 4, and 4 Visual (4 V) with 12 multiple-choice questions related to six kidney transplant cases from 2013 to 2015 American Society of Nephrology (ASN) fellowship program quizzes. We compared the performance of ChatGPT with US nephrology fellowship program directors, nephrology fellows, and the audience of the ASN's annual Kidney Week meeting.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Overall, ChatGPT 4 V correctly answered 10 out of 12 questions, showing a performance level comparable to nephrology fellows (group majority correctly answered 9 of 12 questions) and training program directors (11 of 12). This surpassed ChatGPT 4 (7 of 12 correct) and 3.5 (5 of 12). All three ChatGPT versions failed to correctly answer questions where the consensus among human respondents was low.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Each iterative version of ChatGPT performed better than the prior version, with version 4 V achieving performance on par with nephrology fellows and training program directors. While it shows promise in understanding and answering kidney transplantation questions, ChatGPT should be seen as a complementary tool to human expertise rather than a replacement.</p>\u0000 </section>\u0000 </div>","PeriodicalId":10467,"journal":{"name":"Clinical Transplantation","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142324582","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pooja Budhiraja, Raymond L. Heilman, Richard Butterfield, Kunam S. Reddy, Hassan A. Khamash, Bassam G. Abu Jawdeh, Caroline C. Jadlowiec, Nitin Katariya, Maxwell Smith, Andres Jaramillo, Salah Alajous, Amit Mathur, Katrin Hacke, Harini A. Chakkera
This single-center retrospective study investigated subclinical rejection prevalence and significance in simultaneous pancreas and kidney transplant (SPKT) recipients. We analyzed 352 SPKT recipients from July 2003 to April 2022. Our protocol included pancreas allograft surveillance biopsies at 1, 4, and 12months post-transplant. After excluding 153 patients unable to undergo pancreas biopsy, our study cohort comprised 199 recipients. Among the 199 patients with protocol pancreas biopsies, 107 had multiple protocol pancreas biopsies in the first year, totaling 323. Subclinical rejection was identified in 132 episodes (41%). Of these, 72% were Grade 1, 20% were indeterminate, and 8% were Banff Grade 2 or higher. All episodes of subclinical rejection were treated. Rates of pancreas graft loss (10% vs. 7%) and clinical rejection (21% vs. 20%) at 3 years were similar between those with and without subclinical rejection. Subclinical rejection Banff Grade 2 or more was associated with poor pancreas graft survival HR of 5.5 (95% CI: 1.24–24.37, p = 0.025). Of 236 simultaneous protocol kidney and pancreas biopsies, 102 (43%) showed pancreas subclinical rejection, while only 17% had concurrent kidney subclinical rejection. Our findings suggest limited predictive value of pancreatic enzymes and euglycemia in detecting pancreas rejection. Furthermore, poor concordance existed between pancreas and kidney subclinical rejection.
{"title":"Subclinical Pancreas Rejection on Protocol Biopsy Within the First Year of Simultaneous Pancreas Kidney Transplant","authors":"Pooja Budhiraja, Raymond L. Heilman, Richard Butterfield, Kunam S. Reddy, Hassan A. Khamash, Bassam G. Abu Jawdeh, Caroline C. Jadlowiec, Nitin Katariya, Maxwell Smith, Andres Jaramillo, Salah Alajous, Amit Mathur, Katrin Hacke, Harini A. Chakkera","doi":"10.1111/ctr.15467","DOIUrl":"https://doi.org/10.1111/ctr.15467","url":null,"abstract":"<div>\u0000 \u0000 <p>This single-center retrospective study investigated subclinical rejection prevalence and significance in simultaneous pancreas and kidney transplant (SPKT) recipients. We analyzed 352 SPKT recipients from July 2003 to April 2022. Our protocol included pancreas allograft surveillance biopsies at 1, 4, and 12months post-transplant. After excluding 153 patients unable to undergo pancreas biopsy, our study cohort comprised 199 recipients. Among the 199 patients with protocol pancreas biopsies, 107 had multiple protocol pancreas biopsies in the first year, totaling 323. Subclinical rejection was identified in 132 episodes (41%). Of these, 72% were Grade 1, 20% were indeterminate, and 8% were Banff Grade 2 or higher. All episodes of subclinical rejection were treated. Rates of pancreas graft loss (10% vs. 7%) and clinical rejection (21% vs. 20%) at 3 years were similar between those with and without subclinical rejection. Subclinical rejection Banff Grade 2 or more was associated with poor pancreas graft survival HR of 5.5 (95% CI: 1.24–24.37, <i>p</i> = 0.025). Of 236 simultaneous protocol kidney and pancreas biopsies, 102 (43%) showed pancreas subclinical rejection, while only 17% had concurrent kidney subclinical rejection. Our findings suggest limited predictive value of pancreatic enzymes and euglycemia in detecting pancreas rejection. Furthermore, poor concordance existed between pancreas and kidney subclinical rejection.</p>\u0000 </div>","PeriodicalId":10467,"journal":{"name":"Clinical Transplantation","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142324657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A limited sampling strategy (LSS) for estimating the area under the plasma concentration–time curve (AUC0–12) of the immunosuppressant mycophenolic acid (MPA) is used for therapeutic drug monitoring (TDM) in clinical practice. Our study delves into the applicability of the MPA AUC0–12 LSS, originally developed using particle-enhanced turbidimetric inhibition immunoassay (PETINIA) measurements, to those obtained via high-performance liquid chromatography with ultraviolet detection (HPLC–UV).
Methods
We developed an LSS for estimating MPA AUC0–12 based on PETINIA measurements in 32 adult kidney transplant patients who were receiving mycophenolate mofetil. Validation of this strategy was conducted in an additional 14 adult kidney transplant patients (validation sets) through measurements obtained by both PETINIA and HPLC–UV. Predictive performance was assessed using mean absolute error (MAE), root mean squared error (RMSE), and “good guess” defined as predicted AUC within observed AUC ± 15%.
Results
The three time point equation (0, 2, and 6 h) emerged as optimal for estimating MPA AUC0–12, balancing predictive performance and usefulness in clinical settings. In validation sets, the coefficient of determination for observed versus predicted AUC0–12 was consistent between PETINIA (0.978) and HPLC–UV (0.958) measurements. Comparable MAE, RMSE, and “good guess” outcomes were observed for PETINIA (6.4%, 8.1%, and 85.7%, respectively) and HPLC–UV (7.6%, 9.4%, and 85.7%, respectively) measurements.
Conclusion
Our findings support the application of the MPA AUC0–12 LSS, originally developed using PETINIA measurements, to those obtained via HPLC–UV.
{"title":"External Validation of a Limited Sampling Strategy for the Estimation of Mycophenolic Acid Exposure Between Different Assay Methods: PETINIA and HPLC Methods","authors":"Kosuke Doki, Keigo Yoshida, Joichi Usui, Kazuhiro Takahashi, Tatsuya Oda, Kunihiro Yamagata, Masato Homma","doi":"10.1111/ctr.15471","DOIUrl":"https://doi.org/10.1111/ctr.15471","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>A limited sampling strategy (LSS) for estimating the area under the plasma concentration–time curve (AUC<sub>0–12</sub>) of the immunosuppressant mycophenolic acid (MPA) is used for therapeutic drug monitoring (TDM) in clinical practice. Our study delves into the applicability of the MPA AUC<sub>0–12</sub> LSS, originally developed using particle-enhanced turbidimetric inhibition immunoassay (PETINIA) measurements, to those obtained via high-performance liquid chromatography with ultraviolet detection (HPLC–UV).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We developed an LSS for estimating MPA AUC<sub>0–12</sub> based on PETINIA measurements in 32 adult kidney transplant patients who were receiving mycophenolate mofetil. Validation of this strategy was conducted in an additional 14 adult kidney transplant patients (validation sets) through measurements obtained by both PETINIA and HPLC–UV. Predictive performance was assessed using mean absolute error (MAE), root mean squared error (RMSE), and “good guess” defined as predicted AUC within observed AUC ± 15%.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The three time point equation (0, 2, and 6 h) emerged as optimal for estimating MPA AUC<sub>0–12</sub>, balancing predictive performance and usefulness in clinical settings. In validation sets, the coefficient of determination for observed versus predicted AUC<sub>0–12</sub> was consistent between PETINIA (0.978) and HPLC–UV (0.958) measurements. Comparable MAE, RMSE, and “good guess” outcomes were observed for PETINIA (6.4%, 8.1%, and 85.7%, respectively) and HPLC–UV (7.6%, 9.4%, and 85.7%, respectively) measurements.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Our findings support the application of the MPA AUC<sub>0–12</sub> LSS, originally developed using PETINIA measurements, to those obtained via HPLC–UV.</p>\u0000 </section>\u0000 </div>","PeriodicalId":10467,"journal":{"name":"Clinical Transplantation","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142324675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abdula Al-Seraji, Simeon Adeyemo, Ahmet Gurakar, Riya Shah, Suphamai Bunnapradist, Krista L. Lentine, Robert R. Redfield III, Merve Gurakar, Alpesh N. Amin, Abimereki D. Muzaale, Abhinav Humar, Fawaz Al Ammary, Saleh A. Alqahtani
Introduction
Living liver donation improves survival of end-stage liver disease (ESLD) patients. Yet, it continues to represent a small proportion of United States (U.S.) liver transplantation with existing racial disparities. We investigated the interplay of donor–recipient relationship and donor race to understand donor subgroups with no significant increase.
Methods
We studied 4407 living liver donors in the U.S. from January 1, 2012, to December 31, 2022 (median age = 36 years, and 59% were biologically related to the recipient). We quantified the change in the number of donors per 3-year increment using negative binomial regression (incidence rate ratio [IRR]), stratified by donor–recipient relationship and race/ethnicity.
Results
Among biologically related donors, the observed annual number of White donors increased from 146 to 253, Hispanic donors from 18 to 53, and Black donors decreased from 11 to 10. Among unrelated donors, White donors increased from 65 to 221, Hispanic donors from 4 to 25, and Black donors from 3 to 11. For the IRR of biologically related donors aged <40 and ≥40 years, White donors increased by 18% and 22%; Hispanic donors increased by 25% and 54%; and Black donors did not change. Likewise, the IRR of unrelated donors aged <40 and ≥40 years, White donors increased by 48% and 55%; Hispanic donors increased by 52% and 65%; and Black donors did not change.
Conclusions
While biologically related donors represent the majority of donors, unrelated donors have substantially risen in recent years, primarily driven by White donors. Although the rate of unrelated donations increased among Hispanic donors, the absolute number remains very small (≤25 donors/year). Interventions are needed to increase education among Hispanic and Black communities to grow unrelated living liver donations across race/ethnicity.
{"title":"Interplay of Donor–Recipient Relationship and Donor Race in Living Liver Donation in the United States","authors":"Abdula Al-Seraji, Simeon Adeyemo, Ahmet Gurakar, Riya Shah, Suphamai Bunnapradist, Krista L. Lentine, Robert R. Redfield III, Merve Gurakar, Alpesh N. Amin, Abimereki D. Muzaale, Abhinav Humar, Fawaz Al Ammary, Saleh A. Alqahtani","doi":"10.1111/ctr.15468","DOIUrl":"https://doi.org/10.1111/ctr.15468","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>Living liver donation improves survival of end-stage liver disease (ESLD) patients. Yet, it continues to represent a small proportion of United States (U.S.) liver transplantation with existing racial disparities. We investigated the interplay of donor–recipient relationship and donor race to understand donor subgroups with no significant increase.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We studied 4407 living liver donors in the U.S. from January 1, 2012, to December 31, 2022 (median age = 36 years, and 59% were biologically related to the recipient). We quantified the change in the number of donors per 3-year increment using negative binomial regression (incidence rate ratio [IRR]), stratified by donor–recipient relationship and race/ethnicity.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Among biologically related donors, the observed annual number of White donors increased from 146 to 253, Hispanic donors from 18 to 53, and Black donors decreased from 11 to 10. Among unrelated donors, White donors increased from 65 to 221, Hispanic donors from 4 to 25, and Black donors from 3 to 11. For the IRR of biologically related donors aged <40 and ≥40 years, White donors increased by 18% and 22%; Hispanic donors increased by 25% and 54%; and Black donors did not change. Likewise, the IRR of unrelated donors aged <40 and ≥40 years, White donors increased by 48% and 55%; Hispanic donors increased by 52% and 65%; and Black donors did not change.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>While biologically related donors represent the majority of donors, unrelated donors have substantially risen in recent years, primarily driven by White donors. Although the rate of unrelated donations increased among Hispanic donors, the absolute number remains very small (≤25 donors/year). Interventions are needed to increase education among Hispanic and Black communities to grow unrelated living liver donations across race/ethnicity.</p>\u0000 </section>\u0000 </div>","PeriodicalId":10467,"journal":{"name":"Clinical Transplantation","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ctr.15468","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142324655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Though virtual care was widely adopted during the COVID-19 pandemic, evidence to support its use in kidney transplant recipients early after transplantation is limited.
Methods
We conducted a retrospective cohort study comparing post kidney transplant outcomes in patients who received in-person transplant care before the COVID-19 pandemic with those who received mainly virtual transplant care during the COVID-19 pandemic. The usual-care group included 69 patients who received a kidney transplant from March 1, 2019 to September 1, 2019, and the virtual-care group included 64 patients who received a kidney transplant from September 1, 2020 to March 1, 2021.
Results
At 6 months, five patients in the usual-care group and three patients in the virtual-care group died. There was one graft loss and one episode of acute rejection in the usual-care group, and two episodes of acute rejection in the virtual-care group (p = 0.60). Estimated glomerular filtration rate was higher for patients in the virtual-care group (59 mL/min/1.73 m2 vs. 52 mL/min/1.73 m2, p = 0.046) and serum creatinine was not different (138 µmol/L vs. 127 µmol/L, p = 0.27). There was no difference in mean blood pressure or hospitalizations.
Conclusion
Outcomes were similar among recipients of a kidney transplant prior to the COVID-19 pandemic when care was mainly in person and during the pandemic when care was mainly virtual, without a signal of harm. Patient and donor selection may have led to unmeasured differences between groups.
{"title":"Evaluation of Virtual Care in Kidney Transplant Recipients in the Early Posttransplant Period","authors":"Saad Almarzouk, Monther Alazwari, Evangelyn Grace Matias, Catherine M. Clase, Seychelle Yohanna","doi":"10.1111/ctr.15459","DOIUrl":"10.1111/ctr.15459","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Though virtual care was widely adopted during the COVID-19 pandemic, evidence to support its use in kidney transplant recipients early after transplantation is limited.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We conducted a retrospective cohort study comparing post kidney transplant outcomes in patients who received in-person transplant care before the COVID-19 pandemic with those who received mainly virtual transplant care during the COVID-19 pandemic. The usual-care group included 69 patients who received a kidney transplant from March 1, 2019 to September 1, 2019, and the virtual-care group included 64 patients who received a kidney transplant from September 1, 2020 to March 1, 2021.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>At 6 months, five patients in the usual-care group and three patients in the virtual-care group died. There was one graft loss and one episode of acute rejection in the usual-care group, and two episodes of acute rejection in the virtual-care group (<i>p</i> = 0.60). Estimated glomerular filtration rate was higher for patients in the virtual-care group (59 mL/min/1.73 m<sup>2</sup> vs. 52 mL/min/1.73 m<sup>2</sup>, <i>p</i> = 0.046) and serum creatinine was not different (138 µmol/L vs. 127 µmol/L, <i>p</i> = 0.27). There was no difference in mean blood pressure or hospitalizations.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Outcomes were similar among recipients of a kidney transplant prior to the COVID-19 pandemic when care was mainly in person and during the pandemic when care was mainly virtual, without a signal of harm. Patient and donor selection may have led to unmeasured differences between groups.</p>\u0000 </section>\u0000 </div>","PeriodicalId":10467,"journal":{"name":"Clinical Transplantation","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ctr.15459","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142307285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mohammed Abul Kashem, Gabriel Loor, Amir Emtiazjoo, Matthew Hartwig, Dirk Van Raemdonck, Hannah Calvelli, Andres Leon Pena, Marcelo Salan-Gomez, Huaqing Zhao, Michael Warnick, Mauricio Villavicencio, Fabio Ius, Kamrouz Ghadimi, Jawad Salman, Satish Chandrashekaran, Tiago Machuca, Pablo G. Sanchez, Kathirvel Subramaniam, Arne Neyrinck, Stephen Huddleston, Laurens Ceulemans, Asishana Osho, Ethan D'Silva, Uma Ramamurthy, Andrew Shaffer, Nathaniel Langer, Yoshiya Toyoda
Introduction
Lung transplantation has become increasingly utilized in patients with COVID-19. While several single-center and UNOS database studies have been published on lung transplants (LTs) for end-stage lung disease (ESLD) from Coronavirus disease 2019 (COVID-19), there is a lack of multi-center and international data.
Methods
This is a multicenter analysis from 11 high-volume lung transplant centers in the United States and Europe. Data were collected through the Multi-Institutional ECLS Registry and stratified by ESLD due to COVID-19 versus other etiologies. Demographics and clinical variables were compared using Chi-square test and Fisher's exact test. Survival was assessed by Kaplan-Meier curves and compared by log-rank test with propensity score matching.
Results
Of 1606 lung transplant recipients, 46 (2.9%) were transplanted for ESLD from COVID-19 compared to 1560 (97.1%) without a history of COVID-19. Among COVID-19 patients, 30 (65.2%) had COVID-19-associated ARDS and 16 (34.8%) had post-COVID-19 fibrosis. COVID-19 patients had higher lung allocation scores (78.0 vs. 44.4, p < 0.0001), had severely limited functional status (37.0% vs. 2.9%, p < 0.0001), had higher preoperative ECMO usage (65.2% vs. 5.4%, p < 0.0001), and spent less time on the waitlist (32 vs. 137 days, p < 0.0001). A 30-day survival was comparable between COVID-19 and non-COVID-19 patients before (100% vs. 98.7%, p = 0.39) and after propensity matching (p = 0.15).
Conclusions
Patients who received LTs due to COVID-19 had short-term survival comparable to that of patients without COVID-19. Our findings support the idea that lung transplantation should be considered for select patients with ESLD due to COVID-19.
{"title":"A Multi-Center International Analysis of Lung Transplantation Outcomes in Patients With COVID-19","authors":"Mohammed Abul Kashem, Gabriel Loor, Amir Emtiazjoo, Matthew Hartwig, Dirk Van Raemdonck, Hannah Calvelli, Andres Leon Pena, Marcelo Salan-Gomez, Huaqing Zhao, Michael Warnick, Mauricio Villavicencio, Fabio Ius, Kamrouz Ghadimi, Jawad Salman, Satish Chandrashekaran, Tiago Machuca, Pablo G. Sanchez, Kathirvel Subramaniam, Arne Neyrinck, Stephen Huddleston, Laurens Ceulemans, Asishana Osho, Ethan D'Silva, Uma Ramamurthy, Andrew Shaffer, Nathaniel Langer, Yoshiya Toyoda","doi":"10.1111/ctr.15462","DOIUrl":"10.1111/ctr.15462","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>Lung transplantation has become increasingly utilized in patients with COVID-19. While several single-center and UNOS database studies have been published on lung transplants (LTs) for end-stage lung disease (ESLD) from Coronavirus disease 2019 (COVID-19), there is a lack of multi-center and international data.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>This is a multicenter analysis from 11 high-volume lung transplant centers in the United States and Europe. Data were collected through the Multi-Institutional ECLS Registry and stratified by ESLD due to COVID-19 versus other etiologies. Demographics and clinical variables were compared using Chi-square test and Fisher's exact test. Survival was assessed by Kaplan-Meier curves and compared by log-rank test with propensity score matching.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Of 1606 lung transplant recipients, 46 (2.9%) were transplanted for ESLD from COVID-19 compared to 1560 (97.1%) without a history of COVID-19. Among COVID-19 patients, 30 (65.2%) had COVID-19-associated ARDS and 16 (34.8%) had post-COVID-19 fibrosis. COVID-19 patients had higher lung allocation scores (78.0 vs. 44.4, <i>p</i> < 0.0001), had severely limited functional status (37.0% vs. 2.9%, <i>p</i> < 0.0001), had higher preoperative ECMO usage (65.2% vs. 5.4%, <i>p</i> < 0.0001), and spent less time on the waitlist (32 vs. 137 days, <i>p</i> < 0.0001). A 30-day survival was comparable between COVID-19 and non-COVID-19 patients before (100% vs. 98.7%, <i>p</i> = 0.39) and after propensity matching (<i>p</i> = 0.15).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Patients who received LTs due to COVID-19 had short-term survival comparable to that of patients without COVID-19. Our findings support the idea that lung transplantation should be considered for select patients with ESLD due to COVID-19.</p>\u0000 </section>\u0000 </div>","PeriodicalId":10467,"journal":{"name":"Clinical Transplantation","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142307271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chinnarat Pongpruksa, Nutchanok Khampitak, Drew Chang, Suphamai Bunnapradist, Hans Gritsch, Victor W. Xia
Background
Delayed graft function (DGF) is a common early complication after kidney transplantation (KT) and is associated with various long-term adverse outcomes. Despite numerous studies on hemodynamic management, the optimal hemodynamic goals during KT remain unclear. In this retrospective study, we aimed to investigate if three mean artery pressure (MAP) thresholds (≤75, 80, and 85 mmHg) that were commonly used in clinical practice were associated with DGF in adult patients undergoing KT.
Methods
We extracted de-identified data on adult patients who underwent deceased donor KT from our Discovery Data Repository. DGF was defined as the requirement for dialysis within the first 7 days after transplantation. Three MAP thresholds (≤75, 80, and 85 mmHg) and the duration of pressure below the three thresholds were recorded. Multivariable logistic analysis was used to identify risk factors for DGF.
Results
We included 2301 adult KT patients. The mean age was 52.5±12.9 years and 59% were male. DGF occurred in 1066 patients (46.3%). Patients frequently experienced MAP ≤75, 80, and 85 mmHg (approximately 70%, 80%, and 90% of patients experienced 10 min of MAP ≤75, 80, and 85 mmHg, respectively). Patients with DGF spent significantly longer durations below the three MAP thresholds during surgery compared with those without DGF. Further analysis revealed that the minimal time spent on MAP ≤75, 80, and 85 mmHg that were significantly associated with DGF were 6, 23, and 37 min, respectively. After adjusting for non-hemodynamic risk factors (age, basiliximab administration, and urine output), prolonged exposure to the three MAP thresholds remained significant predictors for DGF (for MAP ≤75 mmHg, OR 1.257, 95% CI 1.017–1.554, p = 0.034; MAP ≤80 mmHg, OR 1.220, 95% CI 1.018–1.463, p = 0.031; MAP ≤85 mmHg, OR 1.253, 95% CI 1.048–1.498, p = 0.013).
Conclusion
Prolonged exposure to the three common MAP thresholds (≤75, 80, and 85 mmHg) occurred frequently during adult deceased donor KT and was associated with DGF.
{"title":"Intraoperative Mean Arterial Pressure and Postoperative Delayed Graft Function in Kidney Transplantation: Evaluating Three Commonly Used Thresholds","authors":"Chinnarat Pongpruksa, Nutchanok Khampitak, Drew Chang, Suphamai Bunnapradist, Hans Gritsch, Victor W. Xia","doi":"10.1111/ctr.15458","DOIUrl":"https://doi.org/10.1111/ctr.15458","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Delayed graft function (DGF) is a common early complication after kidney transplantation (KT) and is associated with various long-term adverse outcomes. Despite numerous studies on hemodynamic management, the optimal hemodynamic goals during KT remain unclear. In this retrospective study, we aimed to investigate if three mean artery pressure (MAP) thresholds (≤75, 80, and 85 mmHg) that were commonly used in clinical practice were associated with DGF in adult patients undergoing KT.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We extracted de-identified data on adult patients who underwent deceased donor KT from our Discovery Data Repository. DGF was defined as the requirement for dialysis within the first 7 days after transplantation. Three MAP thresholds (≤75, 80, and 85 mmHg) and the duration of pressure below the three thresholds were recorded. Multivariable logistic analysis was used to identify risk factors for DGF.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>We included 2301 adult KT patients. The mean age was 52.5±12.9 years and 59% were male. DGF occurred in 1066 patients (46.3%). Patients frequently experienced MAP ≤75, 80, and 85 mmHg (approximately 70%, 80%, and 90% of patients experienced 10 min of MAP ≤75, 80, and 85 mmHg, respectively). Patients with DGF spent significantly longer durations below the three MAP thresholds during surgery compared with those without DGF. Further analysis revealed that the minimal time spent on MAP ≤75, 80, and 85 mmHg that were significantly associated with DGF were 6, 23, and 37 min, respectively. After adjusting for non-hemodynamic risk factors (age, basiliximab administration, and urine output), prolonged exposure to the three MAP thresholds remained significant predictors for DGF (for MAP ≤75 mmHg, OR 1.257, 95% CI 1.017–1.554, <i>p</i> = 0.034; MAP ≤80 mmHg, OR 1.220, 95% CI 1.018–1.463, <i>p</i> = 0.031; MAP ≤85 mmHg, OR 1.253, 95% CI 1.048–1.498, <i>p</i> = 0.013).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Prolonged exposure to the three common MAP thresholds (≤75, 80, and 85 mmHg) occurred frequently during adult deceased donor KT and was associated with DGF.</p>\u0000 </section>\u0000 </div>","PeriodicalId":10467,"journal":{"name":"Clinical Transplantation","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142273283","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chia-Yu Chiu, Priya Sampathkumar, Lisa M. Brumble, Holenarasipur R. Vikram, Kymberly D. Watt, Elena Beam
Introduction
Hepatitis B virus (HBV) vaccination is recommended for solid organ transplant (SOT) candidates. However, there is a lack of data on the HBV vaccine compliance, serologic response, and durability of HBV seroprotection in thoracic organ transplantation recipients.
Methods
We conducted a retrospective study of adult thoracic organ (heart and lung) transplant candidates who received HBV vaccination at Mayo Clinic sites in Minnesota, Arizona, and Florida between January 2018 and August 2023. Conventional recombinant hepatitis B vaccine (Recombivax HB) was used before 2020, and Heplisav-B was preferred after 2020. HBV seroprotection was defined as hepatitis B surface antibody (HBsAb) ≥ 10 IU/L. Furthermore, we compared characteristics between recipients who maintained HBV seroprotection and those who lost HBV seroprotection (HBsAb < 10 IU/L) at 30 days posttransplantation (D30).
Results
Among 922 candidates who were eligible for HBV vaccination, 430 (47%) completed the HBV vaccine series. Patients receiving Heplisav-B were more likely to complete the series than Recombivax HB (81% vs. 60%, p < 0.001) and Heplisav-B had a higher seroprotection rate than Recombivax HB (75% vs. 64%, p = 0.023). Multivariate logistic regression analysis identified receiving Heplisav-B as an independent predictor for HBV seroprotection (adjusted odds ratio [aOR] 1.723; 95% confidence interval [CI] 1.056–2.810; p = 0.029). A total of 145 thoracic organ transplant recipients achieved HBV seroprotection at the date of transplantation. Loss of HBV seroprotection occurred in 38 (26%) patients at D30. Multivariate logistic regression analysis identified two predictors for HBV seroprotection loss at D30: age ≥ 60 years (aOR, 2.503; 95% CI 1.026–6.107; p = 0.044), and pretransplant HBsAb level between 10 and 100 IU/L (aOR, 18.575; 95% CI 5.211–66.209; p < 0.001).
Conclusions
Although less than half of thoracic organ transplant candidates completed HBV vaccine series pretransplant, Heplisav-B provided a higher vaccine completion rate and seroprotection than the 3-dose Recombivax HB. Clinicians should also be aware of the increased loss of HBV seroprotection in thoracic organ transplant recipients with age ≥ 60 years and pretransplant HBsAb between 10 and 100 IU/L. Assessment of seroprotection after HBV vaccination should be prioritized during the pretransplant period.
{"title":"Hepatitis B Vaccine Compliance, Serologic Response, and Durability in Adult Thoracic Organ Transplant Recipients","authors":"Chia-Yu Chiu, Priya Sampathkumar, Lisa M. Brumble, Holenarasipur R. Vikram, Kymberly D. Watt, Elena Beam","doi":"10.1111/ctr.15464","DOIUrl":"https://doi.org/10.1111/ctr.15464","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>Hepatitis B virus (HBV) vaccination is recommended for solid organ transplant (SOT) candidates. However, there is a lack of data on the HBV vaccine compliance, serologic response, and durability of HBV seroprotection in thoracic organ transplantation recipients.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We conducted a retrospective study of adult thoracic organ (heart and lung) transplant candidates who received HBV vaccination at Mayo Clinic sites in Minnesota, Arizona, and Florida between January 2018 and August 2023. Conventional recombinant hepatitis B vaccine (Recombivax HB) was used before 2020, and Heplisav-B was preferred after 2020. HBV seroprotection was defined as hepatitis B surface antibody (HBsAb) ≥ 10 IU/L. Furthermore, we compared characteristics between recipients who maintained HBV seroprotection and those who lost HBV seroprotection (HBsAb < 10 IU/L) at 30 days posttransplantation (D30).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Among 922 candidates who were eligible for HBV vaccination, 430 (47%) completed the HBV vaccine series. Patients receiving Heplisav-B were more likely to complete the series than Recombivax HB (81% vs. 60%, <i>p</i> < 0.001) and Heplisav-B had a higher seroprotection rate than Recombivax HB (75% vs. 64%, <i>p</i> = 0.023). Multivariate logistic regression analysis identified receiving Heplisav-B as an independent predictor for HBV seroprotection (adjusted odds ratio [aOR] 1.723; 95% confidence interval [CI] 1.056–2.810; <i>p</i> = 0.029). A total of 145 thoracic organ transplant recipients achieved HBV seroprotection at the date of transplantation. Loss of HBV seroprotection occurred in 38 (26%) patients at D30. Multivariate logistic regression analysis identified two predictors for HBV seroprotection loss at D30: age ≥ 60 years (aOR, 2.503; 95% CI 1.026–6.107; <i>p</i> = 0.044), and pretransplant HBsAb level between 10 and 100 IU/L (aOR, 18.575; 95% CI 5.211–66.209; <i>p</i> < 0.001).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Although less than half of thoracic organ transplant candidates completed HBV vaccine series pretransplant, Heplisav-B provided a higher vaccine completion rate and seroprotection than the 3-dose Recombivax HB. Clinicians should also be aware of the increased loss of HBV seroprotection in thoracic organ transplant recipients with age ≥ 60 years and pretransplant HBsAb between 10 and 100 IU/L. Assessment of seroprotection after HBV vaccination should be prioritized during the pretransplant period.</p>\u0000 </section>\u0000 </div>","PeriodicalId":10467,"journal":{"name":"Clinical Transplantation","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142273270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Eshcar Meisel, Dana Bielopolski, Tali Steinmetz, Timna Agur, Shelly Lichtenberg, Shira Goldman, Michal Herman-Edelstein, Eviatar Nesher, Ruth Rahamimov, Benaya Rozen-Zvi
Background
Tacrolimus blood level variability is associated with reduced graft survival among kidney transplant recipients. To date, no practical approach for reducing variability has been validated. We defined specific tacrolimus blood level patterns correlated with variability and evaluated their independent association with reduced graft survival.
Methods
In this single-center retrospective study, we predefined 12 patterns that exhibited correlation with high tacrolimus blood level variability. Subsequently, we utilized a multivariate Cox proportional hazard model, in conjunction with the Akaike information criteria, to evaluate the association between the predefined patterns and decreased graft survival.
Results
Our cohort included 1305 kidney transplant recipients. The primary outcome of this trial was graft loss, defined as the initiation of chronic dialysis or the need for retransplantation. The secondary outcome was the combination of death-censored graft loss and death with a functioning graft. During the study's follow-up period, there were 131 events of graft loss. The number of episodes of subtherapeutic tacrolimus level during the first-year posttransplantation was significantly associated with graft loss (HR 1.208 per episode, 95% CI 1.075–1.356, p = 0.001) and significantly improved the relative likelihood of the model compared to the multivariate model as demonstrated by the delta AIC value (8.256, p = 0.016).
Conclusion
In addition to increased tacrolimus blood level variability, the number of episodes of subtherapeutic tacrolimus levels is independently associated with decreased graft survival among kidney transplant recipients.
{"title":"The Number of Episodes of Subtherapeutic Tacrolimus Blood Level Is Independently Associated With Reduced Kidney Graft Survival","authors":"Eshcar Meisel, Dana Bielopolski, Tali Steinmetz, Timna Agur, Shelly Lichtenberg, Shira Goldman, Michal Herman-Edelstein, Eviatar Nesher, Ruth Rahamimov, Benaya Rozen-Zvi","doi":"10.1111/ctr.15460","DOIUrl":"https://doi.org/10.1111/ctr.15460","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Tacrolimus blood level variability is associated with reduced graft survival among kidney transplant recipients. To date, no practical approach for reducing variability has been validated. We defined specific tacrolimus blood level patterns correlated with variability and evaluated their independent association with reduced graft survival.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>In this single-center retrospective study, we predefined 12 patterns that exhibited correlation with high tacrolimus blood level variability. Subsequently, we utilized a multivariate Cox proportional hazard model, in conjunction with the Akaike information criteria, to evaluate the association between the predefined patterns and decreased graft survival.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Our cohort included 1305 kidney transplant recipients. The primary outcome of this trial was graft loss, defined as the initiation of chronic dialysis or the need for retransplantation. The secondary outcome was the combination of death-censored graft loss and death with a functioning graft. During the study's follow-up period, there were 131 events of graft loss. The number of episodes of subtherapeutic tacrolimus level during the first-year posttransplantation was significantly associated with graft loss (HR 1.208 per episode, 95% CI 1.075–1.356, <i>p</i> = 0.001) and significantly improved the relative likelihood of the model compared to the multivariate model as demonstrated by the delta AIC value (8.256, <i>p</i> = 0.016).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>In addition to increased tacrolimus blood level variability, the number of episodes of subtherapeutic tacrolimus levels is independently associated with decreased graft survival among kidney transplant recipients.</p>\u0000 </section>\u0000 </div>","PeriodicalId":10467,"journal":{"name":"Clinical Transplantation","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142273282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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