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

Cardiomyopathy VII: Pre and Post Operative Nursing Management01:28

Cardiomyopathy VII: Pre and Post Operative Nursing Management

353
Patients with hypertrophic cardiomyopathy (HCM) and left ventricular outflow tract (LVOT) obstruction who remain symptomatic despite optimal medical therapy may undergo a septal myectomy (Morrow procedure). This procedure involves excising a portion of the hypertrophied septum below the aortic valve using a heart-lung machine to improve blood flow through the LVOT. Effective preoperative and postoperative nursing management ensures successful patient outcomes, minimizes complications, and...
353
Reliability and Validity01:29

Reliability and Validity

13.9K
Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
13.9K
In Vitro Drug Release Testing: Overview, Development and Validation01:10

In Vitro Drug Release Testing: Overview, Development and Validation

343
In vitro dissolution and drug release tests assess how quickly and how much of a drug is released from its dosage form into an aqueous medium under standardized laboratory conditions. These tests are essential tools in pharmaceutical development and quality assurance, offering insight into the drug's performance before clinical use.During formulation development, dissolution testing identifies incomplete or inconsistent drug release issues. It also supports decisions on selecting the optimal...
343
Introduction to z Scores01:06

Introduction to z Scores

11.2K
A z score (or standardized value) is measured in units of the standard deviation. It tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a zero z score. It is important to note that the mean of the z scores is zero, and the standard deviation is one.
z scores...
11.2K
Introduction to z Scores01:05

Introduction to z Scores

1.3K
A z score (or standardized value) is measured in units of the standard deviation. It indicates how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a zero z score. It is important to note that the mean of the z scores is zero, and the standard deviation is one.
z scores...
1.3K
z Scores and Area Under the Curve01:17

z Scores and Area Under the Curve

19.6K
z scores are the standardized values obtained after converting a normal distribution into a standard normal distribution. A z score is measured in units of the standard deviation. The z score tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a z score of...
19.6K

You might also read

Related Articles

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

Sort by
Same authorSame journal

International consensus on mesopancreas and total mesopancreas excision (MESODELPHI).

HPB : the official journal of the International Hepato Pancreato Biliary Association·2026
Same author

Surgical outcomes in gallbladder cancer: evidence from the UK nationwide CAPBIL study.

HPB : the official journal of the International Hepato Pancreato Biliary Association·2026
Same author

Meta-analysis of Short-term Clinical and Survival Outcomes of Full-left-full-right Split Liver Transplantation for 2 Recipients.

Transplantation·2026
Same author

Effect of dual hepatic and portal vein embolization on future liver remnant function and volume prior to major hepatectomy.

Annals of hepato-biliary-pancreatic surgery·2026
Same author

Postoperative pancreatic fistula rates decrease over the career of pancreatic surgeons: a longitudinal cohort study.

HPB : the official journal of the International Hepato Pancreato Biliary Association·2026
Same author

Early protocol computed tomography scan in asymptomatic high-risk patients diagnosed with pancreatic fistula after pancreatoduodenectomy: Results of a prospective audit.

Surgery·2026

Related Experiment Video

Updated: Feb 3, 2026

Generation of a Rat Model of Acute Liver Failure by Combining 70% Partial Hepatectomy and Acetaminophen
09:44

Generation of a Rat Model of Acute Liver Failure by Combining 70% Partial Hepatectomy and Acetaminophen

Published on: November 27, 2019

11.0K

Developing and validating a pre-operative risk score to predict post-hepatectomy liver failure.

Bobby V M Dasari1, James Hodson2, Keith J Roberts1

  • 1Dept of HPB Surgery, Queen Elizabeth Hospital, Birmingham B15 2WB, United Kingdom.

HPB : the Official Journal of the International Hepato Pancreato Biliary Association
|October 27, 2018
PubMed
Summary

A new pre-operative risk score accurately predicts post hepatectomy liver failure (PHLF), a serious complication after liver resection. This tool helps stratify patients, improving surgical planning and outcomes for liver surgery.

More Related Videos

An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.6K
An Experimental Paradigm for the Prediction of Post-Operative Pain PPOP
14:56

An Experimental Paradigm for the Prediction of Post-Operative Pain PPOP

Published on: January 27, 2010

22.1K

Related Experiment Videos

Last Updated: Feb 3, 2026

Generation of a Rat Model of Acute Liver Failure by Combining 70% Partial Hepatectomy and Acetaminophen
09:44

Generation of a Rat Model of Acute Liver Failure by Combining 70% Partial Hepatectomy and Acetaminophen

Published on: November 27, 2019

11.0K
An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.6K
An Experimental Paradigm for the Prediction of Post-Operative Pain PPOP
14:56

An Experimental Paradigm for the Prediction of Post-Operative Pain PPOP

Published on: January 27, 2010

22.1K

Area of Science:

  • Hepatobiliary surgery
  • Surgical oncology
  • Liver transplantation

Background:

  • Post hepatectomy liver failure (PHLF) is a critical complication following liver resection surgery.
  • Accurate prediction of PHLF is essential for patient management and improving surgical outcomes.

Purpose of the Study:

  • To develop and validate a novel pre-operative risk score for predicting PHLF after hepatectomy.
  • To assess the score's ability to stratify patients based on their risk of developing PHLF.

Main Methods:

  • A multivariable binary logistic regression model was employed to identify PHLF predictors.
  • A prognostic risk score was derived using identified independent predictors.
  • The score's predictive performance was validated internally.

Main Results:

  • The study included 1269 patients in the derivation cohort and 453 in the validation cohort.
  • PHLF occurred in 13.1% of patients, associated with increased mortality and prolonged hospital stay.
  • The novel risk score demonstrated strong predictive accuracy (AUROC 0.816), outperforming the MELD score (AUROC 0.643).

Conclusions:

  • The developed PHLF risk score effectively stratifies patients undergoing hepatectomy.
  • This tool can aid clinicians in identifying high-risk individuals for PHLF.
  • Improved risk stratification may lead to better patient selection and perioperative management.