Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Effect of Hepatic Disease on Pharmacokinetics: Pathophysiologic Assessment and Liver Function Test01:22

Effect of Hepatic Disease on Pharmacokinetics: Pathophysiologic Assessment and Liver Function Test

101
In clinical practice, the direct measurement of hepatic blood flow to evaluate liver function presents significant challenges due to the intricate and specialized nature of the necessary techniques. Consequently, healthcare professionals often rely on empirical estimates derived from thorough patient examinations and liver function tests to gauge liver health. Among the tools at their disposal, the Child–Pugh and MELD scoring systems stand out for their ability to categorize and assess...
101

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Perspectives of Caregivers of Kidney Transplant Recipients and Transplant Candidates About Kidneys From Donors With Hepatitis C Virus Infection.

Kidney medicine·2026
Same author

Trial design and end points in hepatocellular carcinoma: an EASL-AASLD-ILCA consensus statement.

Nature reviews. Clinical oncology·2026
Same author

Caregiver Involvement and Burden and Patient Quality of Life in Patients with Decompensated Cirrhosis.

The American journal of gastroenterology·2026
Same author

Predicting severe liver dysfunction following locoregional therapy for early- and intermediate-stage hepatocellular carcinoma.

Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society·2026
Same author

Guidelines in Practice: Preoperative Risk Assessment and Management in Patients With Cirrhosis.

The American journal of gastroenterology·2026
Same author

Outcomes of Simultaneous Liver-Kidney Transplant and Kidney After Liver Transplant Using the Safety Net Criteria-A Single-center Experience.

Transplantation direct·2026
Same journal

Decoding fibrosis: Transcriptomic and clinical insights via AI-derived collagen deposition phenotypes in MASLD.

Hepatology (Baltimore, Md.)·2026
Same journal

A randomized controlled trial of stepped treatment to reduce unhealthy alcohol use in patients with chronic liver disease.

Hepatology (Baltimore, Md.)·2026
Same journal

AASLD AST NASPGHAN Practice Guideline on pediatric liver transplantation: Candidate evaluation.

Hepatology (Baltimore, Md.)·2026
Same journal

H4K12 lactylation drives TREM2high macrophages differentiation in liver fibrosis.

Hepatology (Baltimore, Md.)·2026
Same journal

Good vibrations: Using VCTE to predict hepatic decompensation in MASLD.

Hepatology (Baltimore, Md.)·2026
Same journal

One size does not fit all: Global variability in noninvasive testing for MASLD.

Hepatology (Baltimore, Md.)·2026
See all related articles

Related Experiment Video

Updated: Dec 8, 2025

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

550

Risk Prediction Models for Post-Operative Mortality in Patients With Cirrhosis.

Nadim Mahmud1,2, Zachary Fricker3, Rebecca A Hubbard4

  • 1Division of Gastroenterology and Hepatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.

Hepatology (Baltimore, Md.)
|September 17, 2020
PubMed
Summary
This summary is machine-generated.

New VOCAL-Penn models significantly improve prediction of postoperative mortality in cirrhosis patients. These validated tools enhance risk stratification and surgical procedure selection for better patient outcomes.

More Related Videos

Author Spotlight: Advancing Early Detection and Treatment of Gastrointestinal Tumors
03:05

Author Spotlight: Advancing Early Detection and Treatment of Gastrointestinal Tumors

Published on: February 16, 2024

1.4K
Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

400

Related Experiment Videos

Last Updated: Dec 8, 2025

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

550
Author Spotlight: Advancing Early Detection and Treatment of Gastrointestinal Tumors
03:05

Author Spotlight: Advancing Early Detection and Treatment of Gastrointestinal Tumors

Published on: February 16, 2024

1.4K
Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

400

Area of Science:

  • Hepatology
  • Surgical Outcomes Research
  • Predictive Analytics

Background:

  • Patients with cirrhosis face elevated postoperative mortality risks.
  • Existing risk prediction tools lack accuracy and do not consider surgery type.
  • There is a need for improved risk models tailored to surgical patients with cirrhosis.

Purpose of the Study:

  • To develop and validate novel cirrhosis surgical risk models using population-level data.
  • To enhance the accuracy of predicting postoperative mortality in patients with cirrhosis.
  • To provide a tool for better preoperative risk stratification and patient selection.

Main Methods:

  • Retrospective cohort study using the Veterans Outcomes and Costs Associated with Liver Disease (VOCAL) cohort merged with Veterans Affairs Surgical Quality Improvement Program (VASQIP) data.
  • Development of multivariable logistic regression models (VOCAL-Penn models) to predict 30-, 90-, and 180-day postoperative mortality.
  • Comparison of VOCAL-Penn model performance against established scores like MELD, MELD-Na, CTP, and MRS for discrimination and calibration.

Main Results:

  • The VOCAL-Penn models demonstrated excellent discrimination for 30-day postoperative mortality (C-statistic = 0.859).
  • Key predictors included age, albumin, platelet count, bilirubin, surgery category, emergency indication, fatty liver disease, ASA class, and obesity.
  • Model performance surpassed MELD, MELD-Na, CTP, and MRS in both discrimination and calibration across all time points.

Conclusions:

  • The VOCAL-Penn models offer a substantial improvement in predicting postoperative mortality for patients with cirrhosis.
  • These models can be practically applied to optimize preoperative risk assessment and surgical candidate selection.
  • Implementation of VOCAL-Penn models can lead to improved patient management and surgical outcomes.