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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

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 the...
Effect of Hepatic Disease on Pharmacokinetics: Drug Dosing and Hepatic Blood Flow01:26

Effect of Hepatic Disease on Pharmacokinetics: Drug Dosing and Hepatic Blood Flow

Chronic liver disease significantly impacts drug metabolism due to alterations in hepatic blood flow and enzyme accessibility. This disruption affects the body's pharmacokinetics—the movement and processing of drugs within the system. Key enzymes crucial for metabolizing medications become less accessible, changing how drugs are processed and utilized. Furthermore, liver disease influences the synthesis of plasma proteins, such as albumin and globulins, which play critical roles in drug binding...
Effect of Hepatic Disease on Pharmacokinetics: Dose Adjustments Due to Hepatic Impairment01:08

Effect of Hepatic Disease on Pharmacokinetics: Dose Adjustments Due to Hepatic Impairment

Hepatic impairment, characterized by decreased liver function, does not uniformly mandate adjustments in drug dosage. Whether dosage modifications are necessary depends on various factors related to the drug's metabolism and elimination pathways. If a drug is primarily excreted via the kidneys and bypasses significant hepatic processing, if it undergoes minimal metabolic transformation in the liver, or if it is volatile and primarily expelled through the lungs, dose adjustments may not be...

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Related Experiment Video

Updated: May 31, 2026

Mouse Model of Metabolic Dysfunction-Associated Steatotic Liver Disease with Fibrosis
06:26

Mouse Model of Metabolic Dysfunction-Associated Steatotic Liver Disease with Fibrosis

Published on: July 18, 2025

Does model for end-stage liver disease (MELD) require modification?

H G Desai1

  • 1Jaslok Hospital and Research Centre, Dr G Deshmukh Marg, Mumbai 400 026.

The Journal of the Association of Physicians of India
|July 15, 2011
PubMed
Summary
This summary is machine-generated.

The Model for End-stage Liver Disease (MELD) score predicts survival in liver transplant candidates. MELD-Na is recommended when MELD is inaccurate, and adjustments are suggested for post-transplant survival prediction.

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Area of Science:

  • Hepatology
  • Transplantation Medicine
  • Medical Prognostics

Background:

  • The Model for End-stage Liver Disease (MELD) score is a standard prognostic tool for cirrhotic patients awaiting liver transplantation.
  • It assesses serum bilirubin, serum albumin, and the International Normalized Ratio (INR) to predict short-term survival.

Purpose of the Study:

  • To evaluate the accuracy of the MELD score in predicting survival for liver transplant candidates and recipients.
  • To identify limitations of the MELD score and propose modifications for improved prognostic accuracy.

Main Methods:

  • Analysis of MELD score components (serum bilirubin, albumin, INR) in cirrhotic patients.
  • Comparison of MELD score predictions with actual survival outcomes in pre- and post-liver transplantation cohorts.

Main Results:

  • The MELD score accurately predicts 3-month survival in approximately 85% of cirrhotic patients awaiting liver transplantation.
  • MELD-Na is recommended for improved accuracy in a subset of patients where MELD is a poor predictor.
  • The MELD score demonstrates limited accuracy in predicting survival after liver transplantation.

Conclusions:

  • The MELD score is a valuable tool for pre-transplant survival prediction but has limitations.
  • Modifications, such as downgrading the score for recipient age and disease recurrence risk, are recommended to enhance post-transplant survival prediction.