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Rahbari, Nuh N.

https://orcid.org/0000-0002-4703-9039

Mayo Clinic

Heidelberg University

Citations 4

The E-AHPBA—ESSO—Innsbruck consensus recommendations on peri- and postoperative management following liver resection
Maier, Eva , Stättner, Stefan, Carrión-Álvarez, Lucía , Martino, Marcello Di, Primavesi, Florian, Sochorová, Dana , Laarhoven, Stijn van , Balakrishnan, Anita, Buis, Carlijn I. , Cipriani, Federica, Erdmann, Joris, Frampton, A., Fuks, David, Melloul, Emmanuel, Oberkofler, Christian E. , Petritsch, Stefan, Raab, Helmut, Rahbari, Nuh N. , Rappold, Daniela , Ruzzenente, Andrea, Schäfer, Benedikt , Serrablo, Alejandro, Soreide, Kjetil, Ernesto, Sparrelid, Starlinger, Patrick P, Tinguely, Pascale, Dasari, Bobby V M, Donadon, Matteo, Dopazo, Cristina, Gruenberger, T., Jonas, E G, Malik, Hassan, Siriwardena, Ajith K, Braunwarth, Eva , Di Martino, Marcello , Olthof, Pim , van Laarhoven, Stijn , Cipriani, Federica , Erdmann, Joris I , Lancellotti, Francesco , Oberkofler, Christian , Sallinen, Ville , Søreide, Kjetil , Starlinger, Patrick , Aldrighetti, Luca , Donadon, Matteo , Dopazo, Cristina , Gruenberger, Thomas , Viganó, Luca , Maglione, Manuel , Stättner, Stefan , Primavesi, Florian , Breitkopf, Robert , Fuks, David , Gilg, Stefan , Gulla, Aistė , Margreiter, Christian , Reiberger, Thomas , Ruzzenente, Andrea , Schaefer, Benedikt, Schnitzbauer, Andreas A. , Søreide, Kjetil , Sparrelid, Ernesto , Starlinger, Patrick , Stavrou, Gregor Alexander , Aldrighetti, Luca , Dasari, B. , Gruenberger, Thomas , Jonas, Eduard , Malik, Hassan , Siriwardena, Ajith K. , Maglione, Manuel

British Journal of Surgery | December 30, 2025 | Volume: 113 | Issue: 1 | Pages: No page available

10.1093/bjs/znaf272 Get It

Abstract Background Liver surgery carries a high risk of complications due to the complex interplay of patient-related factors, disease characteristics, and liver function. Expertise is essential for healthcare professionals managing hepatobiliary patients. This European consensus provides evidence-based guidance on selected aspects of peri- and postoperative care. Methods A modified Delphi process was used to achieve consensus, with a 70% agreement threshold. The expert panel comprised hepatobiliary surgeons, anaesthetists, hepatologists, a specialist nurse, and a physiotherapist. A systematic literature search was conducted in PubMed/MEDLINE, Embase, Web of Science, and Cochrane databases. Six topics were addressed: thromboprophylaxis; perioperative antibiotics; prehabilitation/nutrition/mobilization; bile leak including bilioenteric anastomosis leaks; post-hepatectomy haemorrhage; and post-hepatectomy liver failure (PHLF). Evidence appraisal and statement development followed Scottish Intercollegiate Guidelines Network methodology. A patient representative reviewed the guideline. Results Searching the literature yielded 204 included publications from an initial 6514. Thirty-two statements were formulated with a median evidence level of 2. Evidence strength varied by topic with noticeably lower evidence levels in complex surgery settings and less prevalent conditions. In some topics, study heterogeneity and specific inclusion criteria resulted in conditional recommendations, despite high-level evidence. Notably, the weakest evidence was found for perioperative thromboprophylaxis and PHLF management. Strong recommendations were formulated for prehabilitation, early postoperative mobilization, and avoidance of routine drain use. Several evidence gaps warranting multicentre studies were identified. Conclusion Optimizing peri- and postoperative care after liver resection remains challenging. Standardizing key practices and addressing evidence gaps through collaborative research are vital to improve outcomes.
An APRI+ALBI-Based Multivariable Model as a Preoperative Predictor for Posthepatectomy Liver Failure
Santol, Jonas , Gregory, Lindsey A., Baumgartner, Ruth , Birgin, Emrullah , Gloor, Severin , Braunwarth, Eva , Ammann, M. , Starlinger, Johannes , Ammon, Daphni , Ninkovic, Marijana , Kern, Anna , Rumpf, Benedikt , Ortmayr, Gregor , Herrmann, Yannic, Huber, Felix Xaver, Weninger, Jeremias, Smoot, Rory L. , Truty, Mark J. , Kendrick, Michael L. , Nagorney, David M. , Rahbari, Nuh N. , Hoffmann, Katrin , Hackl, Hubert , Maier, Eva , Smoot, Rory L , Hackl, Hubert , Santol, Jonas , Ammann, Markus , Kim, Sarang , Murtha-Lemekhova, Anastasia , Pereyra, David , Kern, Anna E., Dong, Yawen , Thiels, Cornelius A. , Warner, Susanne G. , Cleary, Sean P. , Beldi, Guido , Gilg, Stefan , Assinger, Alice , Gruenberger, Thomas , Starlinger, Patrick

Annals of Surgery | October 20, 2023 | Volume: 281 | Issue: 5 | Pages: 861-871

10.1097/sla.0000000000006127 Get It

Objective and Background: Clinically significant posthepatectomy liver failure (PHLF B+C) remains the main cause of mortality after major hepatic resection. This study aimed to establish an aspartate aminotransferase to platelet ratio combined with an albumin-bilirubin grade (APRI+ALBI), based multivariable model (MVM) to predict PHLF and compare its performance to indocyanine green clearance (ICG-R15 or ICG-PDR) and albumin-ICG evaluation (ALICE). Methods: A total of 12,056 patients from the National Surgical Quality Improvement Program database were used to generate a MVM to predict PHLF B+C. The model was determined using stepwise backwards elimination. The performance of the model was tested using receiver operating characteristic curve analysis and validated in an international cohort of 2525 patients. In 620 patients, the APRI+ALBI MVM, trained in the National Surgical Quality Improvement Program cohort, was compared with the MVM’s based on other liver function tests (ICG clearance, ALICE) by comparing the areas under the curve (AUC). Results: A MVM including APRI+ALBI, age, sex, tumor type, and extent of resection was found to predict PHLF B+C with an AUC of 0.77, with comparable performance in the validation cohort (AUC: 0.74). In direct comparison with other MVM’s based on more expensive and time-consuming liver function tests (ICG clearance, ALICE), the APRI+ALBI MVM demonstrated equal predictive potential for PHLF B+C. A smartphone application for the calculation of the APRI+ALBI MVM was designed. Conclusion: Risk assessment through the APRI+ALBI MVM for PHLF B+C increases preoperative predictive accuracy and represents a universally available and cost-effective risk assessment before hepatectomy, facilitated by a freely available smartphone app.
E-AHPBA–ESSO–ESSR Innsbruck consensus guidelines for preoperative liver function assessment before hepatectomy
Primavesi, Florian , Maglione, Manuel , Cipriani, Federica , Denecke, Timm , Oberkofler, Christian E. , Dasari, B. , Heil, Jan , Sgarbură, Olivia , Søreide, Kjetil , Díaz-Nieto, Rafael, Geisel, Dominik , Henninger, Benjamin , Hessheimer, Amelia J. , Mole, Damian J. , Reiberger, Thomas , Schnitzbauer, Andreas A. , Sparrelid, Ernesto , Stockmann, Martin , Truant, Stéphanie , Aldrighetti, Luca , Braunwarth, Eva , D’Hondt, Mathieu , DeOliveira, Michelle L., Erdmann, Joris I. , Kaczirek, Klaus , Malik, Hassan , Öfner, Dietmar , Rahbari, Nuh N. , Göbel, Georg , Siriwardena, Ajith K. , Dasari, Bobby V M , Sgarbura, Olivia , Søreide, Kjetil , Lesurtel, Mickaël , Mole, Damian , Schnitzbauer, Andreas A , Aldrighetti, Luca , Erdmann, Joris I , Gruenberger, Thomas , Öfner, Dietmar , Siriwardena, Ajith K , Maier, Eva , Reiberger, Thomas , Cipriani, Federica , Oberkofler, Christian , Maglione, Manuel , Starlinger, Patrick , Fondevila, Constantino , Frampton, Adam E. , Lesurtel, Mickaël , Öllinger, Robert , Olthof, Pim , Schwarz, Christoph C. , Fuks, David , Gruenberger, Thomas , Stättner, Stefan

British Journal of Surgery | July 20, 2023 | Volume: 110 | Issue: 10 | Pages: 1331-1347

10.1093/bjs/znad233 Get It

Abstract Background Posthepatectomy liver failure (PHLF) contributes significantly to morbidity and mortality after liver surgery. Standardized assessment of preoperative liver function is crucial to identify patients at risk. These European consensus guidelines provide guidance for preoperative patient assessment. Methods A modified Delphi approach was used to achieve consensus. The expert panel consisted of hepatobiliary surgeons, radiologists, nuclear medicine specialists, and hepatologists. The guideline process was supervised by a methodologist and reviewed by a patient representative. A systematic literature search was performed in PubMed/MEDLINE, the Cochrane library, and the WHO International Clinical Trials Registry. Evidence assessment and statement development followed Scottish Intercollegiate Guidelines Network methodology. Results Based on 271 publications covering 4 key areas, 21 statements (at least 85 per cent agreement) were produced (median level of evidence 2− to 2+). Only a few systematic reviews (2++) and one RCT (1+) were identified. Preoperative liver function assessment should be considered before complex resections, and in patients with suspected or known underlying liver disease, or chemotherapy-associated or drug-induced liver injury. Clinical assessment and blood-based scores reflecting liver function or portal hypertension (for example albumin/bilirubin, platelet count) aid in identifying risk of PHLF. Volumetry of the future liver remnant represents the foundation for assessment, and can be combined with indocyanine green clearance or LiMAx® according to local expertise and availability. Functional MRI and liver scintigraphy are alternatives, combining FLR volume and function in one examination. Conclusion These guidelines reflect established methods to assess preoperative liver function and PHLF risk, and have uncovered evidence gaps of interest for future research.
PlGF/VEGFR-1 Signaling Promotes Macrophage Polarization and Accelerated Tumor Progression in Obesity
Incio, João , Tam, Josh, Rahbari, Nuh N. , Suboj, Priya, McManus, Dan T., Chin, Shan M. , Vardam, Trupti D., Batista, Ana , Babykutty, Suboj , Jung, Keehoon , Hato, Tai , Ligibel, Jennifer A. , Krop, Ian E. , Puchner, Stefan B., Schlett, Christopher L. , Hoffmman, Udo, Ancukiewicz, Marek, Shibuya, Masabumi , Carmeliet, Peter , Soares, Raquel , Duda, Dan G. , Jain, Rakesh K., Fukumura, Dai , Khachatryan, Anna , Jain, Rakesh K., Duda, Dan G

Clinical Cancer Research | February 9, 2016 | Volume: 22 | Issue: 12 | Pages: 2993-3004

10.1158/1078-0432.ccr-15-1839 Get It

Abstract Purpose: Obesity promotes pancreatic and breast cancer progression via mechanisms that are poorly understood. Although obesity is associated with increased systemic levels of placental growth factor (PlGF), the role of PlGF in obesity-induced tumor progression is not known. PlGF and its receptor VEGFR-1 have been shown to modulate tumor angiogenesis and promote tumor-associated macrophage (TAM) recruitment and activity. Here, we hypothesized that increased activity of PlGF/VEGFR-1 signaling mediates obesity-induced tumor progression by augmenting tumor angiogenesis and TAM recruitment/activity. Experimental Design: We established diet-induced obese mouse models of wild-type C57BL/6, VEGFR-1 tyrosine kinase (TK)-null, or PlGF-null mice, and evaluated the role of PlGF/VEGFR-1 signaling in pancreatic and breast cancer mouse models and in human samples. Results: We found that obesity increased TAM infiltration, tumor growth, and metastasis in pancreatic cancers, without affecting vessel density. Ablation of VEGFR-1 signaling prevented obesity-induced tumor progression and shifted the tumor immune environment toward an antitumor phenotype. Similar findings were observed in a breast cancer model. Obesity was associated with increased systemic PlGF, but not VEGF-A or VEGF-B, in pancreatic and breast cancer patients and in various mouse models of these cancers. Ablation of PlGF phenocopied the effects of VEGFR-1-TK deletion on tumors in obese mice. PlGF/VEGFR-1-TK deletion prevented weight gain in mice fed a high-fat diet, but exacerbated hyperinsulinemia. Addition of metformin not only normalized insulin levels but also enhanced antitumor immunity. Conclusions: Targeting PlGF/VEGFR-1 signaling reprograms the tumor immune microenvironment and inhibits obesity-induced acceleration of tumor progression. Clin Cancer Res; 22(12); 2993–3004. ©2016 AACR.