AI Article Synopsis

  • The study aimed to create and validate models that predict clinically significant posthepatectomy liver failure (PHLF) and serious complications using both preoperative and intraoperative data from patients who underwent major liver surgery.
  • The research included data from 2,192 patients across 12 international centers and found that 8.4% experienced significant PHLF and 7.3% had a Comprehensive Complication Index (CCI) greater than 40, indicating serious complications.
  • The resulting models demonstrated good prediction accuracy, with the PHLF model achieving an area under the curve (AUC) of 0.80, allowing the creation of risk calculators to assist in clinical decision-making about patient outcomes after surgery.*

Article Abstract

Objective: The study aim was to develop and validate models to predict clinically significant posthepatectomy liver failure (PHLF) and serious complications [a Comprehensive Complication Index (CCI)>40] using preoperative and intraoperative variables.

Background: PHLF is a serious complication after major hepatectomy but does not comprehensively capture a patient's postoperative course. Adding the CCI as an additional metric can account for complications unrelated to liver function.

Methods: The cohort included adult patients who underwent major hepatectomies at 12 international centers (2010-2020). After splitting the data into training and validation sets (70:30), models for PHLF and a CCI>40 were fit using logistic regression with a lasso penalty on the training cohort. The models were then evaluated on the validation data set.

Results: Among 2192 patients, 185 (8.4%) had clinically significant PHLF and 160 (7.3%) had a CCI>40. The PHLF model had an area under the curve (AUC) of 0.80, calibration slope of 0.95, and calibration-in-the-large of -0.09, while the CCI model had an AUC of 0.76, calibration slope of 0.88, and calibration-in-the-large of 0.02. When the models were provided only preoperative variables to predict PHLF and a CCI>40, this resulted in similar AUCs of 0.78 and 0.71, respectively. Both models were used to build 2 risk calculators with the option to include or exclude intraoperative variables ( PHLF Risk Calculator; CCI>40 Risk Calculator ).

Conclusions: Using an international cohort of major hepatectomy patients, we used preoperative and intraoperative variables to develop and internally validate multivariable models to predict clinically significant PHLF and a CCI>40 with good discrimination and calibration.

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Source
http://dx.doi.org/10.1097/SLA.0000000000005916DOI Listing

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Objective: The study aim was to develop and validate models to predict clinically significant posthepatectomy liver failure (PHLF) and serious complications [a Comprehensive Complication Index (CCI)>40] using preoperative and intraoperative variables.

Background: PHLF is a serious complication after major hepatectomy but does not comprehensively capture a patient's postoperative course. Adding the CCI as an additional metric can account for complications unrelated to liver function.

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Objective: To compare different criteria for post-hepatectomy liver failure (PHLF) and evaluate the association between International Study Group of Liver Surgery (ISGLS) PHLF and the Comprehensive Complication Index (CCI)" and 90-day mortality.

Summary Of Background Data: PHLF is a serious complication following hepatic resection. Multiple criteria have been developed to characterize PHLF.

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