Estimate prognosis and survival probabilities for Idiopathic Pulmonary Fibrosis patients using validated clinical models.
Important Notice
This calculator provides estimates based on statistical models and should not replace professional medical advice. Always consult with healthcare providers for personalized medical guidance.
Patient Information
Forced Vital Capacity
Diffusing Capacity for Carbon Monoxide
Prognosis Results
GAP Index Score
4
Stage II
Gender, Age, Physiology Index
Median Survival
3.2 years
Based on GAP model
1-Year Survival
82%
Probability of survival
3-Year Survival
42%
Probability of survival
Risk Assessment
Moderate Risk
Patient shows moderate disease progression risk. Regular monitoring and consideration of antifibrotic therapy is recommended.
Survival Probability Over Time
About the GAP Index
The Gender, Age, Physiology (GAP) index is a validated clinical tool used to predict mortality in patients with Idiopathic Pulmonary Fibrosis.
GAP Index Components:
- Gender: Female (0 points), Male (1 point)
- Age: ≤60 years (0), 61-65 years (1), >65 years (2)
- FVC: >75% (0), 50-75% (1), <50% (2)
- DLCO: >55% (0), 36-55% (1), ≤35% (2)
GAP Stages:
- Stage I: 0-3 points (mild risk)
- Stage II: 4-5 points (moderate risk)
- Stage III: 6-8 points (severe risk)
IPF Treatment Options
Antifibrotic Medications
- Pirfenidone (Esbriet) – reduces lung function decline
- Nintedanib (Ofev) – slows disease progression
- Both medications can reduce FVC decline by approximately 50%
Supportive Care
- Oxygen therapy for hypoxemia
- Pulmonary rehabilitation programs
- Vaccinations (pneumococcal, influenza)
Advanced Options
- Lung transplantation evaluation for eligible patients
- Clinical trial participation
- Palliative care for symptom management
Important Medical Disclaimer
This calculator provides statistical estimates based on population data and validated clinical models. It is intended for educational purposes only and should not be used as a substitute for professional medical advice, diagnosis, or treatment.
Individual Variation
Actual outcomes may vary significantly based on individual patient factors, treatment response, and disease course.
Clinical Judgment
Healthcare providers should use clinical judgment in conjunction with predictive models when making treatment decisions.
Consult Professionals
Always consult qualified healthcare professionals for personalized medical advice and treatment planning.