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Preoperative nomogram to predict posthepatectomy liver failure
Background and Objectives Posthepatectomy liver failure (PHLF) is associated with significant morbidity and mortality. However, it is often difficult to predict the risk of PHLF in an individual patient. We aimed to develop a preoperative nomogram to predict PHLF and allow better risk stratification...
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Published in: | Journal of surgical oncology 2021-05, Vol.123 (8), p.1750-1756 |
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Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Background and Objectives
Posthepatectomy liver failure (PHLF) is associated with significant morbidity and mortality. However, it is often difficult to predict the risk of PHLF in an individual patient. We aimed to develop a preoperative nomogram to predict PHLF and allow better risk stratification before surgery.
Methods
Data for patients undergoing a partial or major hepatectomy were extracted from the hepatectomy‐specific NSQIP database for years 2014–2016. Data set from 2017 was used for validation. Patients with Grade B/C liver failure were compared with patients with no liver failure.
Results
A total of 10 808 patients from 2014–2016 data set were included. Of these, 316 patients (2.9%) developed Grade B/C PHLF. In the multivariable model consisting of preoperative variables, the following were predictive of Grade B/C PHLF (all p |
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ISSN: | 0022-4790 1096-9098 |
DOI: | 10.1002/jso.26463 |