Yawen Dong, Lindsey A Gregory, Vanja Podrascanin, Jonas Santol, Markus Ammann, David Pereyra, Hubert Hackl, Zhihao Li, Mark J Truty, Susanne G Warner, Rory L Smoot, Thomas Gruenberger, David M Nagorney, Patrick P Starlinger
{"title":"术前血管性血友病因子是一个独立的预测肝切除术后肝功能衰竭的生物标志物-一个多变量模型与APRI+ALBI。","authors":"Yawen Dong, Lindsey A Gregory, Vanja Podrascanin, Jonas Santol, Markus Ammann, David Pereyra, Hubert Hackl, Zhihao Li, Mark J Truty, Susanne G Warner, Rory L Smoot, Thomas Gruenberger, David M Nagorney, Patrick P Starlinger","doi":"10.1097/LVT.0000000000000676","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Portal hypertension is a key factor in posthepatectomy liver failure (PHLF). While preoperative liver function tests like APRI+ALBI assess liver function, they only partially reflect portal hypertension severity. Elevated von-Willebrand-factor-antigen (vWF-Ag) indicates endothelial dysregulation and correlates with portal hypertension. Combining vWF-Ag with APRI+ALBI may enhance PHLF prediction.</p><p><strong>Methods: </strong>A total of 534 patients who underwent liver resection at Mayo Clinic Rochester (2020-2024) were analyzed for PHLF incidence, postoperative morbidity, and 90-day mortality. Predictive probability for PHLF was assessed using ROC analysis and validated in an external Austrian cohort of 283 patients (2008-2017). vWF-Ag was then integrated into the existing APRI+ALBI multivariable model.</p><p><strong>Results: </strong>PHLF grade B/C was reported in 56 patients (10.5%). 90-day mortality rate was 0.9% (n=5). Using two cutoffs (182%, 240%), vWF-Ag was found to be an independent predictive factor for PHLF grade B/C that remained statistically significant upon multivariable analysis. The combination of preoperative APRI+ALBI and vWF-Ag increased the positive predictive value to 27.9% for PHLF grade B/C in the APRI+ALBI high and vWF-Ag high group. Incorporation of vWF-Ag into the established APRI+ALBI based multivariable model revealed a superior area under the curve (AUC) of 0.772 for PHLF risk stratification and was successfully validated in an independent cohort (AUC=0.834).</p><p><strong>Conclusion: </strong>The combination of vWF-Ag with APRI+ALBI demonstrates a favorable predictive potential for PHLF risk assessment. We provide two pathways for clinical assessment: 1) a cut-off-based system and 2) a more complex multivariable model that can be calculated in a specifically designed smartphone application.</p>","PeriodicalId":520704,"journal":{"name":"Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Preoperative von Willebrand factor is an independent predictive biomarker for posthepatectomy liver failure - a multivariable model with APRI+ALBI.\",\"authors\":\"Yawen Dong, Lindsey A Gregory, Vanja Podrascanin, Jonas Santol, Markus Ammann, David Pereyra, Hubert Hackl, Zhihao Li, Mark J Truty, Susanne G Warner, Rory L Smoot, Thomas Gruenberger, David M Nagorney, Patrick P Starlinger\",\"doi\":\"10.1097/LVT.0000000000000676\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Portal hypertension is a key factor in posthepatectomy liver failure (PHLF). While preoperative liver function tests like APRI+ALBI assess liver function, they only partially reflect portal hypertension severity. Elevated von-Willebrand-factor-antigen (vWF-Ag) indicates endothelial dysregulation and correlates with portal hypertension. Combining vWF-Ag with APRI+ALBI may enhance PHLF prediction.</p><p><strong>Methods: </strong>A total of 534 patients who underwent liver resection at Mayo Clinic Rochester (2020-2024) were analyzed for PHLF incidence, postoperative morbidity, and 90-day mortality. Predictive probability for PHLF was assessed using ROC analysis and validated in an external Austrian cohort of 283 patients (2008-2017). vWF-Ag was then integrated into the existing APRI+ALBI multivariable model.</p><p><strong>Results: </strong>PHLF grade B/C was reported in 56 patients (10.5%). 90-day mortality rate was 0.9% (n=5). Using two cutoffs (182%, 240%), vWF-Ag was found to be an independent predictive factor for PHLF grade B/C that remained statistically significant upon multivariable analysis. The combination of preoperative APRI+ALBI and vWF-Ag increased the positive predictive value to 27.9% for PHLF grade B/C in the APRI+ALBI high and vWF-Ag high group. Incorporation of vWF-Ag into the established APRI+ALBI based multivariable model revealed a superior area under the curve (AUC) of 0.772 for PHLF risk stratification and was successfully validated in an independent cohort (AUC=0.834).</p><p><strong>Conclusion: </strong>The combination of vWF-Ag with APRI+ALBI demonstrates a favorable predictive potential for PHLF risk assessment. We provide two pathways for clinical assessment: 1) a cut-off-based system and 2) a more complex multivariable model that can be calculated in a specifically designed smartphone application.</p>\",\"PeriodicalId\":520704,\"journal\":{\"name\":\"Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-07-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1097/LVT.0000000000000676\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1097/LVT.0000000000000676","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Preoperative von Willebrand factor is an independent predictive biomarker for posthepatectomy liver failure - a multivariable model with APRI+ALBI.
Background: Portal hypertension is a key factor in posthepatectomy liver failure (PHLF). While preoperative liver function tests like APRI+ALBI assess liver function, they only partially reflect portal hypertension severity. Elevated von-Willebrand-factor-antigen (vWF-Ag) indicates endothelial dysregulation and correlates with portal hypertension. Combining vWF-Ag with APRI+ALBI may enhance PHLF prediction.
Methods: A total of 534 patients who underwent liver resection at Mayo Clinic Rochester (2020-2024) were analyzed for PHLF incidence, postoperative morbidity, and 90-day mortality. Predictive probability for PHLF was assessed using ROC analysis and validated in an external Austrian cohort of 283 patients (2008-2017). vWF-Ag was then integrated into the existing APRI+ALBI multivariable model.
Results: PHLF grade B/C was reported in 56 patients (10.5%). 90-day mortality rate was 0.9% (n=5). Using two cutoffs (182%, 240%), vWF-Ag was found to be an independent predictive factor for PHLF grade B/C that remained statistically significant upon multivariable analysis. The combination of preoperative APRI+ALBI and vWF-Ag increased the positive predictive value to 27.9% for PHLF grade B/C in the APRI+ALBI high and vWF-Ag high group. Incorporation of vWF-Ag into the established APRI+ALBI based multivariable model revealed a superior area under the curve (AUC) of 0.772 for PHLF risk stratification and was successfully validated in an independent cohort (AUC=0.834).
Conclusion: The combination of vWF-Ag with APRI+ALBI demonstrates a favorable predictive potential for PHLF risk assessment. We provide two pathways for clinical assessment: 1) a cut-off-based system and 2) a more complex multivariable model that can be calculated in a specifically designed smartphone application.