What is the Lille score (alcoholic hepatitis prognostic tool) formula and how is it used to predict mortality in a patient with impaired health status, potential comorbidities, and a history of alcohol abuse?

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Lille Score Formula and Clinical Application

The Lille score is calculated as R = 3.19 – 0.101×[age (years)] + 0.147×[albumin on day 0 (g/L)] + 0.0165×[evolution in bilirubin level (μmol/L)] − 0.206×renal insufficiency − 0.0065×[bilirubin on day 0 (μmol/L)] − 0.0096×[PT (seconds)], with the final Lille score = exp(–R)/[1+exp(–R)], and a score ≥0.45 predicts approximately 75% mortality within 6 months in patients receiving corticosteroid therapy for severe alcoholic hepatitis. 1

Formula Components and Calculation

The Lille model requires the following variables:

  • Age in years 1
  • Albumin on day 0 in g/L 1
  • Bilirubin on day 0 in μmol/L 1
  • Prothrombin time in seconds 1
  • Renal insufficiency: coded as 0 if creatinine <1.3 mg/dL or 1 if creatinine ≥1.3 mg/dL 1
  • Evolution in bilirubin level: calculated as bilirubin on day 0 minus bilirubin on day 7 (in μmol/L) 1

The calculation proceeds in two steps: first calculate R using the formula above, then convert to the final Lille score using the exponential transformation. 1

Clinical Interpretation and Mortality Prediction

Critical Threshold

  • Lille score ≥0.45 identifies non-responders to corticosteroid therapy with typically 75% mortality within 6 months 1
  • Lille score <0.45 identifies responders with significantly better survival outcomes 2
  • A Lille score >0.56 indicates null responders who derive no benefit from continued corticosteroid therapy 2

Timing of Assessment

The Lille score is traditionally calculated after 7 days of corticosteroid therapy to assess treatment response and guide continuation or discontinuation of therapy. 1, 3, 4

Recent evidence demonstrates that Lille scores calculated at day 4 (LM4) perform equivalently to day 7 (LM7), with 90.3% of patients correctly identified as responders or non-responders, allowing earlier treatment decisions and avoidance of prolonged corticosteroid exposure. 5

  • Day 3-6 Lille scores (LM3-6) show comparable accuracy to LM7, with area under ROC curves ranging from 0.743 to 0.809 for predicting 90-day mortality 6
  • Early Lille assessment (days 3-6) allows discontinuation of ineffective therapy before complications develop 6

Integration with Other Prognostic Models

Combined Scoring Approach

The combination of MELD score with Lille score provides superior prognostic accuracy compared to either model alone, with the MELD+Lille combination achieving the best performance (Akaike information criterion value of 1305) for predicting both 2-month and 6-month mortality. 7

The joint-effect model demonstrates:

  • For patients with MELD score of 21, a Lille score of 0.45 confers 1.9-fold higher mortality risk compared to Lille score of 0.16 (23.7% vs 12.5%) 7
  • Complete responders (Lille 0.16) with MELD 15-45 have predicted 6-month mortality of 8.5%-49.7%, versus 16.4%-75.2% for non-responders (Lille 0.45) 7

Complementary Static Models

The Lille model functions as an on-treatment dynamic model that complements pre-treatment static models: 1, 3

  • mDF score ≥32: identifies severe alcoholic hepatitis requiring treatment consideration 1, 3
  • MELD score >21: predicts 20% mortality at 90 days 1
  • GAHS ≥9: identifies patients benefiting from corticosteroid therapy with >50% mortality at 28-84 days without treatment 1, 3
  • ABIC score: stratifies 90-day mortality into low (<6.71,0% mortality), intermediate (6.71-9.0,30% mortality), and high (>9.0,75% mortality) risk categories 1, 3

Clinical Application Algorithm

Step 1: Initial Assessment (Day 0)

Calculate baseline prognostic scores (mDF, MELD, GAHS, ABIC) to determine disease severity and treatment candidacy. 3, 4

Step 2: Treatment Initiation

For severe alcoholic hepatitis (mDF ≥32 or MELD >20) without contraindications, initiate methylprednisolone 32 mg daily after excluding active infection. 3, 4

Step 3: Early Response Assessment (Day 4-7)

Calculate Lille score at day 4 to identify non-responders early, allowing discontinuation of ineffective corticosteroid therapy before complications develop. 5, 6

  • Lille <0.45: Continue corticosteroids for full 28-day course 2
  • Lille 0.45-0.56: Consider stopping corticosteroids or switching to pentoxifylline 2
  • Lille >0.56: Stop corticosteroids immediately as null responder 2

Step 4: Combined Risk Stratification

Use MELD+Lille combination for optimal mortality prediction and to guide discussions about liver transplantation evaluation. 7

Critical Pitfalls to Avoid

  • Do not continue corticosteroids beyond day 7 in patients with Lille score ≥0.45, as this exposes patients to infection risk and other steroid complications without survival benefit 4, 2
  • Do not rely on Lille score alone for initial treatment decisions—it is an on-treatment model requiring baseline and day 7 measurements, not a pre-treatment stratification tool 1, 3
  • Do not delay Lille calculation until day 7 when day 4 assessment provides equivalent prognostic information and allows earlier treatment modification 5, 6
  • Do not ignore renal function in the Lille calculation, as renal insufficiency is a critical component and predictor of poor outcomes 1, 6

Enhanced Prognostic Models

A modified Lille score incorporating neutrophil-lymphocyte ratio (NLR) achieves superior performance (AUC 0.889) compared to Lille score alone (AUC 0.819), potentially identifying additional non-responders who would benefit from early treatment cessation. 8

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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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