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Broering, Dieter

0000-0002-8989-1975

Mayo Clinic

Organ Transplant Center of Excellence, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia.

Citations 2

An international survey of liver transplant business practices: Identifying best practices and areas for improvement
Patel, Madhukar S., Matevish, Lauren E. , Broering, Dieter, Chan, Albert CY, DIB, MARTÍN JAVIER, Dillon, Audrey , Heimbach, Julie K. , Khalaileh, Abed , Kumar, Sathish S. , Mehta, Goutham K., Mathur, Amit K. , Pomposelli, James J. , Watt, K.D.S., Xu, Xiao, Maluf, Daniel G. , Chan, Albert , Patel, Madhukar S. , Bröering, Dieter C. , Broering, Dieter , Chan, Albert C Y , Dib, Martin J , Dillon, Audrey A , Pomposelli, James , Watt, Kimberly, Maluf, Daniel , Selzner, Markus , Heimbach, Julie K , Selzner, Markus , Patel, Madhukar

Liver Transplantation | February 3, 2026 | Volume: 32 | Issue: 7 | Pages: 1066-1075

10.1097/lvt.0000000000000812 Get It

Limited information on the business practices of liver transplant (LT) centers worldwide has been published. Characterizing this data could help identify best practices as well as opportunities for improvement. As such, the International Liver Transplant Society (ILTS) Business Practice Committee conducted a global online survey of LT centers, which was sent to the ILTS membership. Questions focused on 5 main domains: transplant practice and volumes, workforce, finances, quality assessment and performance improvement, and overall program function. Data was compared across program geographic regions and transplant volume. A total of 89 discrete centers were represented, of which 76.4% were academic/university-affiliated, and about one-third each were from Europe (36.0%) and North America (31.5%). The top 3 problems programs reported were finances/funding (60.7%), adequate program support/guidance (48.3%), and transplant volumes (43.8%). In all, 59.6% of respondents felt their salary was undercompensated, consistent across geographic regions. In addition, 69.7% felt their center was not adequately funded to meet program goals, with programs in Europe (N=28/32, 87.5%) and Oceania (N=2/3, 66.7%) most impacted. Transplant surgeon retainment was noted as more difficult for lower volume programs (<50 liver transplants/year, N=13/31). Nearly half (42.7%) of all programs felt under-resourced to provide high-quality care, and the majority (80.9%) felt there was room for growth and improvement under their current model. While international concerns varied widely among LT centers, inadequate salary and center funding, low transplant and referral volumes, and staff retainment were persistent themes. Focusing on adopting region-specific best practices and developing transplant systems of care that focus on these elements is critical to provide optimal care to LT patients worldwide.
Early graft failure after adult living donor liver transplantation: A multicenter risk analysis and development of the early allograft failure in living donor liver transplantation (EAGLE-LDLT) model
Li, Zhihao, Centonze, Leonardo , Raptis, Dimitri , Marquez, Kris Ann Hervera , Rammohan, Ashwin, Gunasekaran, Vasanthakumar , Hong, Suyoung , Chen, I Lun, KIM, Jongman , Hsu, Shih-Chao , Akamatsu, Nobuhisa, Shaked, Oren, Genedy, Lara, Dutkowski, Philipp , Nadalin, Silvio, Boehnert, Markus U, Mathur, Abhishek, Emond, J., Testa, Giuliano, Olthoff, Kim, Taner, Timucin, Wong, Tiffany CL, Hasegawa, Kiyoshi, Balci, D., Cattral, Mark, Sapisochin, G., Selzner, Nazia, Jeng, Long-Bin, Chen, Chao-Long, Suh, Kyung-Suk, Rela, Mohamed, Broering, Dieter, Clavien, Pierre-Alain, Kim, Jong Man , Raptis, Dimitri Aristotle , Li, Zhihao , Hong, Su young , Chen, I. , Centonze, Leonardo , Li, Zhihao , Rammohan, Ashwin , Chen, Itsuko Chih-Yi , Kirimker, Elvan Onur , Akamatsu, Nobuhisa , Shaked, Oren , Finotti, Michele , Yeow, Marcus , Nadalin, Silvio , Boehnert, Markus U , Polak, Wojciech G , Bonney, Glenn K , Samstein, Benjamin , Emond, Jean C , Testa, Giuliano , Olthoff, Kim M , Heimbach, Julie K , Taner, Timucin , Wong, Tiffany C L , Balci, Deniz , Cattral, Mark , Sapisochin, Gonzalo , Selzner, Nazia , Jeng, Long-Bin , Joh, Jae-Won , Chen, Chao-Long , Suh, Kyung-Suk , Di Sandro, Stefano , Rela, Mohamed , Broering, Dieter , Clavien, Pierre-Alain , Akamatsu, Nobuhisa , Shaked, Oren , Boehnert, Markus , Polak, Wojciech G. , Mathur, Abhishek , Samstein, Benjamin , Emond, Jean C. , Testa, Giuliano , Heimbach, Julie K. , Taner, Timuçin , Wong, Tiffany , Hasegawa, Kiyoshi , Cattral, Mark S. , Sapisochín, Gonzalo , Selzner, Nazia , Joh, Jae‐Won , Rela, Mohamed , Bröering, Dieter C. , Clavien, Pierre‐Alain

Liver Transplantation | January 21, 2026 | Volume: 32 | Issue: 7 | Pages: 1027-1039

10.1097/lvt.0000000000000816 Get It

Early allograft failure (EAF) after living donor liver transplantation (LDLT) remains a clinical challenge. Existing prediction models developed for deceased donor transplantation poorly apply to LDLT due to distinct surgical and physiological factors. This study identifies clinical determinants of EAF and develops an LDLT-specific prediction model. We conducted a multicenter retrospective cohort study from 17 high-volume LDLT centers (January 2016–December 2020) with external validation at a tertiary center in Saudi Arabia (January 2015–December 2022). The primary outcome was EAF (graft loss or patient death ≤90 d). Multivariable mixed-effects logistic regression identified preoperative/intraoperative risk factors. The EAGLE-LDLT model was constructed using postoperative laboratory values. Performance was compared against established models (EAD, MEAF, A2ALL) using ROC analysis and decision curve analysis. The development cohort included 2944 adult LDLT recipients (67.7% male; median age 55 y; median MELD 14) with a 5.5% EAF rate. External validation included 1020 recipients (median MELD 21, 6.7% EAF). Independent risk factors for EAF were MELD (OR 1.06, 95% CI 1.04–1.08), donor BMI (OR 1.05, 95% CI 1.00–1.10), portal vein thrombosis (OR 1.73, 95% CI 1.13–2.63), and hepaticojejunostomy (OR 1.58, 95% CI 1.06–2.36). The EAGLE-LDLT model incorporating peak ALT (>468 U/L), peak INR (>1.9), and bilirubin (>3.5 mg/dL) and INR (>1.3) at POD7, demonstrated superior discrimination (AUC=0.81) compared with MEAF (AUC=0.77, p =0.004), EAD (AUC=0.67, p <0.001), and A2ALL (AUC=0.65, p <0.001). EAGLE-LDLT achieved balanced sensitivity (75.0%) and specificity (73.7%), effectively stratifying patients into high-risk (15% of patients; 40.4% EAF incidence) and low-risk groups. Preoperative and intraoperative clinical factors predict EAF in LDLT. The EAGLE-LDLT model accurately identifies LDLT recipients at the highest risk for EAF postoperatively.