What is the Maddrey score (Model for End-Stage Liver Disease score)?

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From the Guidelines

The Maddrey Discriminant Function (MDF) is a scoring system used to assess the severity of alcoholic hepatitis and predict short-term mortality, calculated using the formula: 4.6 × (patient's prothrombin time - control prothrombin time in seconds) + total bilirubin (mg/dL), with a score of 32 or higher indicating severe disease and poor prognosis. The MDF score is a widely used and well-established tool for predicting short-term mortality in patients with alcoholic hepatitis, with a score of 32 or higher indicating a high risk of mortality, approximately 30-50% within 30 days if untreated 1.

Key Components of the MDF Score

  • Prothrombin time (PT): reflects liver synthetic function
  • Total bilirubin: reflects liver excretory function

Interpretation of the MDF Score

  • A score of 32 or higher indicates severe alcoholic hepatitis with a poor prognosis
  • Patients with scores above this threshold are typically considered for corticosteroid therapy, specifically prednisolone 40mg daily for 28 days, which may improve survival in selected patients 1

Limitations and Additional Considerations

  • The MDF score is not perfect and may not accurately predict mortality in all patients
  • Other scoring systems, such as the MELD score and the Glasgow Alcoholic Hepatitis Score (GAHS), may also be useful in predicting short-term mortality in patients with alcoholic hepatitis 1
  • Response to steroids should be assessed after 7 days using other tools like the Lille score, as not all patients with high MDF scores benefit from continued steroid treatment 1

From the Research

Definition of Maddrey Score and MELD Score

  • The Maddrey score, also known as Maddrey's discriminant function (MDF), is a prognostic model used to predict short-term mortality in patients with alcoholic hepatitis 2, 3.
  • The Model for End-Stage Liver Disease (MELD) score is a scoring system used to predict mortality in patients with end-stage liver disease, including those with alcoholic hepatitis 4, 5, 3, 6.

Calculation and Interpretation of Scores

  • The MDF score is calculated based on serum bilirubin and prothrombin time, with a score of >32 predicting short-term mortality of around 20-30% at 1 month and 30-40% within 6 months after presentation 2.
  • The MELD score is calculated based on serum bilirubin, serum creatinine, and international normalized ratio (INR), with higher scores indicating higher mortality risk 4, 5, 3.
  • A MELD score of 21 has been shown to have a sensitivity of 75% and a specificity of 75% in predicting 90-day mortality in patients with alcoholic hepatitis 4.

Comparison of MDF and MELD Scores

  • Studies have compared the predictive value of MDF and MELD scores in patients with alcoholic hepatitis, with some showing that MDF is a more valuable model for predicting short-term mortality 3.
  • Other studies have found that MELD is useful for predicting 30-day and 90-day mortality in patients with alcoholic hepatitis, and maintains some practical and statistical advantages over MDF 4.
  • However, another study found that MELD score was not significant for predicting 90-day mortality, while CTP score was statistically significant 5.

Clinical Application of Scores

  • Both MDF and MELD scores are used to guide treatment decisions and predict mortality in patients with alcoholic hepatitis 2, 4, 6.
  • The scores can help identify patients who may benefit from corticosteroid therapy or liver transplantation 2, 6.

Professional Medical Disclaimer

This information is intended for healthcare professionals. Any medical decision-making should rely on clinical judgment and independently verified information. The content provided herein does not replace professional discretion and should be considered supplementary to established clinical guidelines. Healthcare providers should verify all information against primary literature and current practice standards before application in patient care. Dr.Oracle assumes no liability for clinical decisions based on this content.

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