Kavya Rajesh, Mohamed Hassanein, Sameer Singh, Yanling Zhao, Yuji Kaku, Paul Kurlansky, Farhana Latif, Gabriel Sayer, Nir Uriel, Koji Takeda
Background
The heart transplant allocation policy change in 2018 was intended to help ameliorate differences in waiting times for heart transplantation across UNOS regions. We sought to examine the regional variability in waitlist times and post-transplant outcomes since these changes were implemented.
Methods
The adult patients in the United Network for Organ Sharing registry from October 2018 to December 2022 were included. Regional trends in waitlist time, waitlist events, and post-transplant outcomes were assessed. Differences in regional variability of successful transplantation over years since policy change were described.
Results
A total of 8029 patients were included. The cumulative incidence of successful transplant after 30 days was significantly different across regions (p < 0.001). There was no difference in 30-day post-transplant mortality across regions. In each year since the policy change, there continues to be a significant difference in the lowest and highest cumulative incidence of successful transplant at 30 days across regions using difference of difference analysis, suggesting regional variation has not improved over time (p = 0.49).
Conclusions
Since the allocation policy change, there continues to be significant variation in time to successful transplantation across geographic regions.
{"title":"Geographic Variation Exists in Heart Transplantation for Status One and Two Patients After the 2018 Heart Allocation Policy Change","authors":"Kavya Rajesh, Mohamed Hassanein, Sameer Singh, Yanling Zhao, Yuji Kaku, Paul Kurlansky, Farhana Latif, Gabriel Sayer, Nir Uriel, Koji Takeda","doi":"10.1111/ctr.70164","DOIUrl":"https://doi.org/10.1111/ctr.70164","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>The heart transplant allocation policy change in 2018 was intended to help ameliorate differences in waiting times for heart transplantation across UNOS regions. We sought to examine the regional variability in waitlist times and post-transplant outcomes since these changes were implemented.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>The adult patients in the United Network for Organ Sharing registry from October 2018 to December 2022 were included. Regional trends in waitlist time, waitlist events, and post-transplant outcomes were assessed. Differences in regional variability of successful transplantation over years since policy change were described.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>A total of 8029 patients were included. The cumulative incidence of successful transplant after 30 days was significantly different across regions (<i>p</i> < 0.001). There was no difference in 30-day post-transplant mortality across regions. In each year since the policy change, there continues to be a significant difference in the lowest and highest cumulative incidence of successful transplant at 30 days across regions using difference of difference analysis, suggesting regional variation has not improved over time (<i>p</i> = 0.49).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Since the allocation policy change, there continues to be significant variation in time to successful transplantation across geographic regions.</p>\u0000 </section>\u0000 </div>","PeriodicalId":10467,"journal":{"name":"Clinical Transplantation","volume":"39 5","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143871854","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}
David Li, Justin Weinkauf, Alim Hirji, Jason Weatherald, Rhea Varughese, Laura van den Bosch, Dale Lien, Jayan Nagendran, Kieran Halloran
Background
Substance use is common among lung transplant donors, but concerns persist about graft damage. Stimulant drugs such as cocaine and methamphetamine can induce pulmonary arterial hypertension, while smoked products such as cannabis and crack cocaine can produce airway and parenchymal diseases. We sought to characterize donor substance use at our center and evaluate the associations with recipient survival as well as chronic lung allograft dysfunction (CLAD), severe primary graft dysfunction (PGD3), and baseline lung allograft dysfunction (BLAD).
Methods
We studied patients with double lung transplants in our program between 2004 and 2016, including a history of donor substance use with nine pre-specified agents. We modeled the association with time to death or retransplant, CLAD, severe PGD, and BLAD.
Results
Of 473 recipients, 186 (39%) received lungs from a donor with a history of substance use with at least one of the pre-specified substances. There was no overall relationship between donor substance use and any outcome. Heavy donor smoking was associated with an increased risk of death or retransplant (hazard ratio 1.47; p = 0.032), PGD3 (odds ratio [OR]: 2.13; p = 0.014), and BLAD (OR 2.56; p < 0.001). Donor crack cocaine use (n = 24) was also associated with worse survival (HR 2.16; 95% CI 1.16–3.66; p = 0.017) but not CLAD or BLAD. We noted no CLAD associations with any drug.
Conclusion
A history of donor substance use was common and in general not associated with worse outcomes, aside from heavy donor smoking. These findings may have implications for allocation and post-transplant graft dysfunction.
{"title":"Lung Transplantation From Donors With a History of Substance Use","authors":"David Li, Justin Weinkauf, Alim Hirji, Jason Weatherald, Rhea Varughese, Laura van den Bosch, Dale Lien, Jayan Nagendran, Kieran Halloran","doi":"10.1111/ctr.70162","DOIUrl":"https://doi.org/10.1111/ctr.70162","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Substance use is common among lung transplant donors, but concerns persist about graft damage. Stimulant drugs such as cocaine and methamphetamine can induce pulmonary arterial hypertension, while smoked products such as cannabis and crack cocaine can produce airway and parenchymal diseases. We sought to characterize donor substance use at our center and evaluate the associations with recipient survival as well as chronic lung allograft dysfunction (CLAD), severe primary graft dysfunction (PGD3), and baseline lung allograft dysfunction (BLAD).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We studied patients with double lung transplants in our program between 2004 and 2016, including a history of donor substance use with nine pre-specified agents. We modeled the association with time to death or retransplant, CLAD, severe PGD, and BLAD.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Of 473 recipients, 186 (39%) received lungs from a donor with a history of substance use with at least one of the pre-specified substances. There was no overall relationship between donor substance use and any outcome. Heavy donor smoking was associated with an increased risk of death or retransplant (hazard ratio 1.47; <i>p</i> = 0.032), PGD3 (odds ratio [OR]: 2.13; <i>p</i> = 0.014), and BLAD (OR 2.56; <i>p</i> < 0.001). Donor crack cocaine use (<i>n</i> = 24) was also associated with worse survival (HR 2.16; 95% CI 1.16–3.66; <i>p</i> = 0.017) but not CLAD or BLAD. We noted no CLAD associations with any drug.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>A history of donor substance use was common and in general not associated with worse outcomes, aside from heavy donor smoking. These findings may have implications for allocation and post-transplant graft dysfunction.</p>\u0000 </section>\u0000 </div>","PeriodicalId":10467,"journal":{"name":"Clinical Transplantation","volume":"39 5","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ctr.70162","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143871613","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}
Hui Lin, Karim Bousnina, Julia S. Slagter, Yitian Fang, Iacopo Cristoferi, Ingrid M. Garrelds, A. H. Jan Danser, Marlies E. J. Reinders, Robert C. Minnee, Martin J. Hoogduijn
Background
Human donor kidneys release (pro)renin, erythropoietin (EPO), active vitamin D, and urodilatin during normothermic machine perfusion (NMP). However, whether the endocrine function of donor kidneys is associated with post-transplant kidney function is unclear.
Methods
We studied 28 donor kidneys, including seven from donation after brain death (DBD) donors and 21 from donation after circulatory death (DCD) donors. Prior to transplantation, we measured levels of (pro)renin, EPO, 1,25(OH)2D in the perfusate, and urodilatin in urine during NMP. Hormone release rates were compared between kidneys with and without delayed graft function (DGF), and correlations were assessed between hormone release rates and donor characteristics and transplant outcome, including DGF duration, serum creatinine levels at 1-week post-transplant, and estimated glomerular filtration rate at 1-month post-transplant.
Results
DBD kidneys secreted significantly less EPO and more active vitamin D than DCD kidneys. Kidneys with DGF exhibited significantly higher release rates of active vitamin D and lower release rates of urodilatin compared to those without DGF. In addition, EPO release rate was positively correlated with serum creatinine levels at 1-week post-transplant. Finally, urodilatin release rates were negatively correlated with DGF duration and positively correlated with urine output.
Conclusions
Urodilatin release in urine and EPO and active vitamin D release in perfusate during NMP may serve as potential biomarkers for predicting early post-transplant outcomes.
{"title":"(Pro)renin, Erythropoietin, Vitamin D and Urodilatin Release From Human Donor Kidneys During Normothermic Machine Perfusion: Predictors of Early Post-Transplant Outcome?","authors":"Hui Lin, Karim Bousnina, Julia S. Slagter, Yitian Fang, Iacopo Cristoferi, Ingrid M. Garrelds, A. H. Jan Danser, Marlies E. J. Reinders, Robert C. Minnee, Martin J. Hoogduijn","doi":"10.1111/ctr.70163","DOIUrl":"https://doi.org/10.1111/ctr.70163","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Human donor kidneys release (pro)renin, erythropoietin (EPO), active vitamin D, and urodilatin during normothermic machine perfusion (NMP). However, whether the endocrine function of donor kidneys is associated with post-transplant kidney function is unclear.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We studied 28 donor kidneys, including seven from donation after brain death (DBD) donors and 21 from donation after circulatory death (DCD) donors. Prior to transplantation, we measured levels of (pro)renin, EPO, 1,25(OH)<sub>2</sub>D in the perfusate, and urodilatin in urine during NMP. Hormone release rates were compared between kidneys with and without delayed graft function (DGF), and correlations were assessed between hormone release rates and donor characteristics and transplant outcome, including DGF duration, serum creatinine levels at 1-week post-transplant, and estimated glomerular filtration rate at 1-month post-transplant.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>DBD kidneys secreted significantly less EPO and more active vitamin D than DCD kidneys. Kidneys with DGF exhibited significantly higher release rates of active vitamin D and lower release rates of urodilatin compared to those without DGF. In addition, EPO release rate was positively correlated with serum creatinine levels at 1-week post-transplant. Finally, urodilatin release rates were negatively correlated with DGF duration and positively correlated with urine output.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Urodilatin release in urine and EPO and active vitamin D release in perfusate during NMP may serve as potential biomarkers for predicting early post-transplant outcomes.</p>\u0000 \u0000 <p><b>Trial Registration</b>: ClinicalTrials.gov identifier: NCT04882254</p>\u0000 </section>\u0000 </div>","PeriodicalId":10467,"journal":{"name":"Clinical Transplantation","volume":"39 5","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ctr.70163","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143871614","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}
Sarah B. Doernberg, Emily L. Heil, Suiyini Fiawoo, Jae Hyoung Lee, Sara E. Cosgrove, David M. Dobrzynski, Yihan Li, Ryan K. Shields, Emily S. Spivak, Erica J. Stohs, Pranita D. Tamma, Erin K. McCreary
Introduction
Little is known about the epidemiology and management of gram-negative bloodstream infections (GN-BSIs) in patients after solid organ transplant (SOT). We describe epidemiology, treatment approaches, and outcomes in a subset of patients with SOT from a larger cohort with GN-BSI.
Methods
This was a multicenter, retrospective cohort study that enrolled unique, consecutive adults with GN-BSI hospitalized at any of 24 participating hospitals between January and December 2019.
Results
Of 4581 adults in the overall cohort, 298 (6.5%) were SOT recipients, including kidney (177, 59%), liver (67, 22%), heart (23, 8%), lung (12, 4%), and multiorgan (19, 6%) recipients. The most common organisms were Escherichia coli (45%), Klebsiella pneumoniae (20%), and Pseudomonas aeruginosa (15%). Twenty-two percent of E. coli, Klebsiella spp., or Proteus spp. isolates had extended-spectrum beta-lactamase phenotype. Sixty-six (22%) subjects did not receive active empirical therapy within the first 48 h. Median treatment duration was 15 days (IQR 12–18 days). Transition to oral therapy occurred in 161 (54%) patients at a median of 4 days (IQR 3–7 days). Thirty-one patients (10%) had recurrent bacteremia, and 10% of the cohort died within 90 days.
Discussion
In this large cohort of SOT patients with GN-BSI, durations exceeded 14 days in most patients, while more than half transitioned to oral antibiotics. Approximately 1 in 5 did not receive active empirical antibiotics, highlighting the impact of drug resistance and the importance of access to rapid diagnostic tools in this patient population. Mortality aligned with published estimates from other studies.
{"title":"Epidemiology, Treatment, and Outcomes of Gram-Negative Bacteremia in a Multicenter Cohort of Solid Organ Transplant Recipients","authors":"Sarah B. Doernberg, Emily L. Heil, Suiyini Fiawoo, Jae Hyoung Lee, Sara E. Cosgrove, David M. Dobrzynski, Yihan Li, Ryan K. Shields, Emily S. Spivak, Erica J. Stohs, Pranita D. Tamma, Erin K. McCreary","doi":"10.1111/ctr.70160","DOIUrl":"https://doi.org/10.1111/ctr.70160","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>Little is known about the epidemiology and management of gram-negative bloodstream infections (GN-BSIs) in patients after solid organ transplant (SOT). We describe epidemiology, treatment approaches, and outcomes in a subset of patients with SOT from a larger cohort with GN-BSI.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>This was a multicenter, retrospective cohort study that enrolled unique, consecutive adults with GN-BSI hospitalized at any of 24 participating hospitals between January and December 2019.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Of 4581 adults in the overall cohort, 298 (6.5%) were SOT recipients, including kidney (177, 59%), liver (67, 22%), heart (23, 8%), lung (12, 4%), and multiorgan (19, 6%) recipients. The most common organisms were <i>Escherichia coli</i> (45%), <i>Klebsiella pneumoniae</i> (20%), and <i>Pseudomonas aeruginosa</i> (15%). Twenty-two percent of <i>E. coli, Klebsiella spp</i>., or <i>Proteus spp</i>. isolates had extended-spectrum beta-lactamase phenotype. Sixty-six (22%) subjects did not receive active empirical therapy within the first 48 h. Median treatment duration was 15 days (IQR 12–18 days). Transition to oral therapy occurred in 161 (54%) patients at a median of 4 days (IQR 3–7 days). Thirty-one patients (10%) had recurrent bacteremia, and 10% of the cohort died within 90 days.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Discussion</h3>\u0000 \u0000 <p>In this large cohort of SOT patients with GN-BSI, durations exceeded 14 days in most patients, while more than half transitioned to oral antibiotics. Approximately 1 in 5 did not receive active empirical antibiotics, highlighting the impact of drug resistance and the importance of access to rapid diagnostic tools in this patient population. Mortality aligned with published estimates from other studies.</p>\u0000 </section>\u0000 </div>","PeriodicalId":10467,"journal":{"name":"Clinical Transplantation","volume":"39 4","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ctr.70160","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143857161","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}
Bryan Chow, Morgan A. Rosser, Jacob A. Klapper, Negmeldeen Mamoun, Matthew G. Hartwig, Kevin A. Wu, Jessica L. Poisson, Katherine Young, Kamrouz Ghadimi, Ian J. Welsby, Brandi A. Bottiger
Introduction
Previous cardiothoracic surgery (CTS) is associated with a significant risk of perioperative bleeding in lung transplantation (LT). The types of prior surgery have not been well-defined. We aimed to quantify the risk of perioperative bleeding in LT based on a history of previous CTS.
Methods
We conducted a retrospective study of adult patients who underwent bilateral LT and stratified recipients into no prior CTS (No-CTS), minimally invasive CTS (Mi-CTS), or open/invasive CTS (I-CTS). The primary outcome was the occurrence of severe/massive bleeding or worse bleeding by the modified universal definition of perioperative bleeding (UDPB). Multivariable analysis was performed with p value <0.05 for statistical significance.
Results
507 recipients were included. I-CTS had 3.93 higher odds of severe/massive bleeding (95% CI [1.98–7.98]; p < 0.001) and 4.37 higher odds of worse bleeding than No-CTS (95% CI [2.27–8.70]; p < 0.001). I-CTS had 2.38 higher odds of worse bleeding than Mi-CTS (95% CI [1.14–5.11]; p = 0.023). Mi-CTS had a higher risk of severe/massive bleeding and worse bleeding than No-CTS.
Conclusion
Patients with more invasive prior CTS had an increased risk of perioperative bleeding and worse outcomes. More invasive previous surgery predicts bleeding risk and requires more transfusion and hospital resources. Centers should examine opportunities for preoperative optimization, intraoperative management, and intraoperative extracorporeal life support (ECLS) strategies to mitigate this risk.
{"title":"Perioperative Bleeding Risk in Lung Transplantation After Previous Cardiothoracic Surgery","authors":"Bryan Chow, Morgan A. Rosser, Jacob A. Klapper, Negmeldeen Mamoun, Matthew G. Hartwig, Kevin A. Wu, Jessica L. Poisson, Katherine Young, Kamrouz Ghadimi, Ian J. Welsby, Brandi A. Bottiger","doi":"10.1111/ctr.70151","DOIUrl":"https://doi.org/10.1111/ctr.70151","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>Previous cardiothoracic surgery (CTS) is associated with a significant risk of perioperative bleeding in lung transplantation (LT). The types of prior surgery have not been well-defined. We aimed to quantify the risk of perioperative bleeding in LT based on a history of previous CTS.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We conducted a retrospective study of adult patients who underwent bilateral LT and stratified recipients into no prior CTS (No-CTS), minimally invasive CTS (Mi-CTS), or open/invasive CTS (I-CTS). The primary outcome was the occurrence of severe/massive bleeding or worse bleeding by the modified universal definition of perioperative bleeding (UDPB). Multivariable analysis was performed with <i>p</i> value <0.05 for statistical significance.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>507 recipients were included. I-CTS had 3.93 higher odds of severe/massive bleeding (95% CI [1.98–7.98]; <i>p</i> < 0.001) and 4.37 higher odds of worse bleeding than No-CTS (95% CI [2.27–8.70]; <i>p</i> < 0.001). I-CTS had 2.38 higher odds of worse bleeding than Mi-CTS (95% CI [1.14–5.11]; <i>p</i> = 0.023). Mi-CTS had a higher risk of severe/massive bleeding and worse bleeding than No-CTS.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Patients with more invasive prior CTS had an increased risk of perioperative bleeding and worse outcomes. More invasive previous surgery predicts bleeding risk and requires more transfusion and hospital resources. Centers should examine opportunities for preoperative optimization, intraoperative management, and intraoperative extracorporeal life support (ECLS) strategies to mitigate this risk.</p>\u0000 </section>\u0000 </div>","PeriodicalId":10467,"journal":{"name":"Clinical Transplantation","volume":"39 4","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143846223","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}
Ryan Grell, Jonathan Paul, Kapil Gupta, Nikhil Chawla, Ranjit Deshpande, Lorenzo De Marchi, Jiapeng Huang
In this Society for the Advancement of Transplant Anesthesia (SATA) white paper, experts in abdominal transplant anesthesia and critical care reviewed the current literature and practice behaviors to create a comprehensive review of the utilization of point-of-care ultrasound (PoCUS) in abdominal organ transplantation (AOT) and to provide evidenced-based recommendations for clinicians to utilize perioperative PoCUS to improve patient outcomes in real time. Organized by phase of care–preoperative, intraoperative, and postoperative–this paper includes a discussion of transthoracic, pulmonary, gastric, and transesophageal echocardiography. Part I of this paper focuses on preoperative and intraoperative PoCUS while the upcoming Part II focuses on utilizing PoCUS in the immediate postoperative and intensive care setting to guide fluid management, identify venous congestion, identify causes of shock, and estimate hemodynamics in AOT patients.
{"title":"Perioperative Point-of-Care Ultrasound Utilization in Abdominal Organ Transplantation. Part I: Preoperative and Intraoperative Care","authors":"Ryan Grell, Jonathan Paul, Kapil Gupta, Nikhil Chawla, Ranjit Deshpande, Lorenzo De Marchi, Jiapeng Huang","doi":"10.1111/ctr.70153","DOIUrl":"https://doi.org/10.1111/ctr.70153","url":null,"abstract":"<p>In this Society for the Advancement of Transplant Anesthesia (SATA) white paper, experts in abdominal transplant anesthesia and critical care reviewed the current literature and practice behaviors to create a comprehensive review of the utilization of point-of-care ultrasound (PoCUS) in abdominal organ transplantation (AOT) and to provide evidenced-based recommendations for clinicians to utilize perioperative PoCUS to improve patient outcomes in real time. Organized by phase of care–preoperative, intraoperative, and postoperative–this paper includes a discussion of transthoracic, pulmonary, gastric, and transesophageal echocardiography. Part I of this paper focuses on preoperative and intraoperative PoCUS while the upcoming Part II focuses on utilizing PoCUS in the immediate postoperative and intensive care setting to guide fluid management, identify venous congestion, identify causes of shock, and estimate hemodynamics in AOT patients.</p>","PeriodicalId":10467,"journal":{"name":"Clinical Transplantation","volume":"39 4","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ctr.70153","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143846234","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}
Nils Gade, Paula Seifert, Michael Gerckens, Carlo Mümmler, Teresa Kauke, Andrea Dick, Tobias Veit, Daniel Roden, Sabine Hoffmann, Marie Scherzer, Julia Höpler, Leonhard Binzenhöfer, Hugo Lanz, Sebastian Michel, Christian Schneider, Michael Irlbeck, Roland Tomasi, Rudolf Hatz, Christian Hagl, Steffen Massberg, Katrin Milger, Jürgen Behr, Enzo Lüsebrink, Nikolaus Kneidinger
Aims
Coronary artery disease (CAD) is a frequent comorbidity in lung transplant (LuTx) candidates. The impact of allogenic organ transplantation and the corresponding alterations in immune response on the progression of CAD remains poorly understood. In this study, we sought to analyze the effect of donor-recipient overall human leukocyte antigen (HLA) and HLA-DQ mismatch on cardiovascular outcomes following LuTx.
Methods and Results
This retrospective analysis of adult patients receiving lung transplantation at the LMU University Hospital between 2012 and 2018 included 310 patients, the majority of whom (67.4%) had undergone double lung transplantation. There were no significant differences in the incidence of the primary composite endpoint between patients with high/low HLA mismatches (22 [7.9%] vs. 4 [12.9%]; p = 0.311). Numerically higher rates of the primary endpoint, myocardial infarction, and cardiovascular death in the low HLA mismatch group can partially be explained by differences in baseline rates of CAD and coronary sclerosis. Notably, neither HLA-DQ mismatch nor the occurrence of rejection episodes or cytomegalovirus (CMV) infection was associated with the occurrence of cardiovascular events following transplantation.
Conclusion
In this study cohort, high HLA mismatch and HLA-DQ mismatch were not associated with increased adverse cardiovascular events. Furthermore, neither transplant rejection nor CMV infection increased the risk for cardiovascular events. The high cardiovascular event rates following LuTx necessitate meticulous cardiovascular follow-up, irrespective of immunological matching.
{"title":"Association of HLA Mismatch With Adverse Cardiovascular Events Following Lung Transplantation: A Single-Center Study","authors":"Nils Gade, Paula Seifert, Michael Gerckens, Carlo Mümmler, Teresa Kauke, Andrea Dick, Tobias Veit, Daniel Roden, Sabine Hoffmann, Marie Scherzer, Julia Höpler, Leonhard Binzenhöfer, Hugo Lanz, Sebastian Michel, Christian Schneider, Michael Irlbeck, Roland Tomasi, Rudolf Hatz, Christian Hagl, Steffen Massberg, Katrin Milger, Jürgen Behr, Enzo Lüsebrink, Nikolaus Kneidinger","doi":"10.1111/ctr.70157","DOIUrl":"https://doi.org/10.1111/ctr.70157","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aims</h3>\u0000 \u0000 <p>Coronary artery disease (CAD) is a frequent comorbidity in lung transplant (LuTx) candidates. The impact of allogenic organ transplantation and the corresponding alterations in immune response on the progression of CAD remains poorly understood. In this study, we sought to analyze the effect of donor-recipient overall human leukocyte antigen (HLA) and HLA-DQ mismatch on cardiovascular outcomes following LuTx.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods and Results</h3>\u0000 \u0000 <p>This retrospective analysis of adult patients receiving lung transplantation at the LMU University Hospital between 2012 and 2018 included 310 patients, the majority of whom (67.4%) had undergone double lung transplantation. There were no significant differences in the incidence of the primary composite endpoint between patients with high/low HLA mismatches (22 [7.9%] vs. 4 [12.9%]; <i>p</i> = 0.311). Numerically higher rates of the primary endpoint, myocardial infarction, and cardiovascular death in the low HLA mismatch group can partially be explained by differences in baseline rates of CAD and coronary sclerosis. Notably, neither HLA-DQ mismatch nor the occurrence of rejection episodes or cytomegalovirus (CMV) infection was associated with the occurrence of cardiovascular events following transplantation.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>In this study cohort, high HLA mismatch and HLA-DQ mismatch were not associated with increased adverse cardiovascular events. Furthermore, neither transplant rejection nor CMV infection increased the risk for cardiovascular events. The high cardiovascular event rates following LuTx necessitate meticulous cardiovascular follow-up, irrespective of immunological matching.</p>\u0000 </section>\u0000 </div>","PeriodicalId":10467,"journal":{"name":"Clinical Transplantation","volume":"39 4","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143846220","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}
Liver transplant (LT) recipients may succumb to graft-related pathologies, contributing to graft fibrosis (GF). Current methods to diagnose GF are limited, ranging from procedural-related complications to low accuracy. With recent advances in machine learning (ML), we aimed to develop a noninvasive tool using demographic, clinical, laboratory, and B-mode ultrasound (US) features to predict significant fibrosis (METAVIR≥F2).
Methods
We used a nested 10-fold cross-validation approach with grid-search for hyperparameter fine-tuning to train an artificial neural network (ANN) and a support vector machine (SVM) to classify mild fibrosis (F0-F1) and significant fibrosis (F2-F4) on 1131 patients. We calculated Shapley values to identify top-ranked features, determining the contribution of each feature to model predictions. For the imaging-based model, we used 4819 images with 892 studies trained on the residual network 18 (ResNet18) model to classify F0-F1 versus F3-F4.
Results
We determined the ANN performed the best when compared to the SVM and standard biomarkers, with an AUC ranging from 0.77 to 0.81. The ResNet18 model was unable to diagnose advanced GF, leading to the training AUCs ranging from 0.89 to 0.97, while the validation and testing AUCs were 0.43–0.63. Shapley analysis highlighted the following top-ranked features associated with significant GF: hepatitis C at transplant, recipient age, recipient sex, and certain blood markers such as creatinine and hemoglobin.
Conclusion
Noninvasive approaches using ML for predicting significant GF perform well when considering demographic, clinical, and laboratory data; however, this performance is not enhanced with the use of US images.
{"title":"Utilizing Machine Learning to Predict Liver Allograft Fibrosis by Leveraging Clinical and Imaging Data","authors":"Madhumitha Rabindranath, Yingji Sun, Korosh Khalili, Mamatha Bhat","doi":"10.1111/ctr.70148","DOIUrl":"https://doi.org/10.1111/ctr.70148","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background and Aim</h3>\u0000 \u0000 <p>Liver transplant (LT) recipients may succumb to graft-related pathologies, contributing to graft fibrosis (GF). Current methods to diagnose GF are limited, ranging from procedural-related complications to low accuracy. With recent advances in machine learning (ML), we aimed to develop a noninvasive tool using demographic, clinical, laboratory, and B-mode ultrasound (US) features to predict significant fibrosis (METAVIR≥F2).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We used a nested 10-fold cross-validation approach with grid-search for hyperparameter fine-tuning to train an artificial neural network (ANN) and a support vector machine (SVM) to classify mild fibrosis (F0-F1) and significant fibrosis (F2-F4) on 1131 patients. We calculated Shapley values to identify top-ranked features, determining the contribution of each feature to model predictions. For the imaging-based model, we used 4819 images with 892 studies trained on the residual network 18 (ResNet18) model to classify F0-F1 versus F3-F4.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>We determined the ANN performed the best when compared to the SVM and standard biomarkers, with an AUC ranging from 0.77 to 0.81. The ResNet18 model was unable to diagnose advanced GF, leading to the training AUCs ranging from 0.89 to 0.97, while the validation and testing AUCs were 0.43–0.63. Shapley analysis highlighted the following top-ranked features associated with significant GF: hepatitis C at transplant, recipient age, recipient sex, and certain blood markers such as creatinine and hemoglobin.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Noninvasive approaches using ML for predicting significant GF perform well when considering demographic, clinical, and laboratory data; however, this performance is not enhanced with the use of US images.</p>\u0000 </section>\u0000 </div>","PeriodicalId":10467,"journal":{"name":"Clinical Transplantation","volume":"39 4","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ctr.70148","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143846224","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}
End-stage renal disease (ESRD) is associated with significant left ventricular (LV) remodeling. However, the impact of renal transplantation on LV remodeling has not been adequately elucidated.
Methods
A comprehensive echocardiography was performed before and after (median time interval 239 days, interquartile range 149–328 days) renal transplantation in 42 patients (mean age 39.1 ± 11.0 years, 79% men). Forty-five apparently healthy age- and gender-matched controls were also included.
Results
The patients with ESRD had significantly increased LV mass index, left atrial volume index (LAVI), and the ratio of early diastolic mitral inflow velocity to mitral annular velocity (E/e’), whereas LV global longitudinal strain (GLS), circumferential strain, apical rotation, and twist were reduced. LV ejection fraction (LVEF) was also lower, but the LV global radial strain (GRS) was not different between the two groups. Most of these abnormalities showed improvement after renal transplantation. Nearly one-third of all patients had at least a 10% improvement in LVEF, and roughly half had a 10% or more improvement in the mitral E/e’ ratio and the LV global longitudinal and circumferential strain.
Conclusion
This study shows that renal transplantation results in a significant regression of LV hypertrophy and an improvement in LV myocardial deformation translating into an improvement in the LV systolic and diastolic function. Further larger and long-term studies are needed to identify the predictors and the clinical significance of these changes.
{"title":"Effect of Renal Transplantation on Left Ventricular Myocardial Deformation in Patients With End-Stage Renal Disease","authors":"Manish Jain, Rakesh Bhat, Hardeep Kaur Grewal, Ashish Nandwani, Dinesh Yadav, Pranaw Kumar Jha, Shyam Bansal, Dinesh Bansal, Vijay Kher, Manish Bansal","doi":"10.1111/ctr.70150","DOIUrl":"https://doi.org/10.1111/ctr.70150","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>End-stage renal disease (ESRD) is associated with significant left ventricular (LV) remodeling. However, the impact of renal transplantation on LV remodeling has not been adequately elucidated.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A comprehensive echocardiography was performed before and after (median time interval 239 days, interquartile range 149–328 days) renal transplantation in 42 patients (mean age 39.1 ± 11.0 years, 79% men). Forty-five apparently healthy age- and gender-matched controls were also included.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The patients with ESRD had significantly increased LV mass index, left atrial volume index (LAVI), and the ratio of early diastolic mitral inflow velocity to mitral annular velocity (E/e’), whereas LV global longitudinal strain (GLS), circumferential strain, apical rotation, and twist were reduced. LV ejection fraction (LVEF) was also lower, but the LV global radial strain (GRS) was not different between the two groups. Most of these abnormalities showed improvement after renal transplantation. Nearly one-third of all patients had at least a 10% improvement in LVEF, and roughly half had a 10% or more improvement in the mitral E/e’ ratio and the LV global longitudinal and circumferential strain.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>This study shows that renal transplantation results in a significant regression of LV hypertrophy and an improvement in LV myocardial deformation translating into an improvement in the LV systolic and diastolic function. Further larger and long-term studies are needed to identify the predictors and the clinical significance of these changes.</p>\u0000 </section>\u0000 </div>","PeriodicalId":10467,"journal":{"name":"Clinical Transplantation","volume":"39 4","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143846222","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}