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Evaluating disease severity in idiopathic pulmonary fibrosis

Hasti Robbie, Cécile Daccord, Felix Chua, Anand Devaraj
European Respiratory Review 2017 26: 170051; DOI: 10.1183/16000617.0051-2017
Hasti Robbie
1Radiology Dept, Royal Brompton and Harefield NHS Foundation Trust, London, UK
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  • For correspondence: hasti.robbie@nhs.net
Cécile Daccord
2Interstitial Lung Disease Unit, Royal Brompton and Harefield NHS Foundation Trust, London, UK
3Respiratory Medicine, University Hospital of Lausanne, Lausanne, Switzerland
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Felix Chua
2Interstitial Lung Disease Unit, Royal Brompton and Harefield NHS Foundation Trust, London, UK
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Anand Devaraj
4Centre for Academic Radiology, Royal Brompton Hospital, London, UK
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    FIGURE 1

    Axial computed tomography (CT) images a) at baseline and b) at a 12-month follow-up scan, in a patient with idiopathic pulmonary fibrosis (IPF). b) Note more progressive reticulation in the right lower lobe with new areas of subpleural reticulation in the left lower lobe (red arrows). Axial CT images in another patient with IPF c) at baseline and d) at a 12-month follow-up scan. d) Note the progressive honeycombing (red arrows), traction dilation of the airways (yellow arrow) and reticulation in both lobes (blue arrows).

Tables

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  • TABLE 1

    Comparison of mortality risk scoring systems in idiopathic pulmonary fibrosis

    VariablesPredictive valueAdvantagesDisadvantages
    Composite physiologic index (CPI) [9]DLCO % pred
    FVC % pred
    FEV1 % pred
    Correlation with morphologic extent:
    CPI=91.0−(0.65×DLCO)−(0.53×FVC)+(0.34 FEV1)
    More accurate predictor of mortality than individual functional variablesCorrection for confounding effects of emphysemaRetrospective data;
    measurement variability in DLCO;
    not yet been replicated
    Du Bois et al. model [7]Age (0–8 pts)
    24-week history of respiratory hospitalisation (0 or 14 pts)
    FVC % pred (0–18 pts)
    24-week change in FVC (0–21 pts)
    1-year mortality risk
    Examples total score:
    • 0–4 pts: <2%
    • 22–29 pts: 10–20%
    • 38–40 pts: 40–50%
    • >50 pts: >80%
    Easily and reliably evaluable;
    longitudinal variables
    Assessed in cohorts with only mild to moderate physiological impairment at baseline and with exclusion of severe emphysema
    Gender–age–physiology (GAP) model [82]Gender (0–1 pts)
    Age (0–2 pts)
    FVC % pred (0–2 pts)
    DLCO % pred (0–3 pts)
    Cumulative mortality at 1, 2, 3 years
    Examples 1-year mortality risk:
    Stage I (0–3 pts): 6%
    Stage II (4–5 pts): 16%
    Stage III (6–8 pts): 39%
    Externally validated
    GAP calculator as add-on tool for more precise estimation of risk
    Retrospective data;
    possible referral bias (academic centres);
    tends to overestimate risk
    Longitudinal GAP model [83]Gender (0–1 pts)
    Age (0–4 pts)
    FVC % pred (0–15 pts)
    24-week relative change in FVC (0–12 pts)
    DLCO % pred (0–23 pts)
    Respiratory hospitalisation
    (last 24 weeks) (0 or 14 pts)
    1 and 2-year mortality risk
    Examples 1-year mortality risk:
    • 0–10 pts: <2%
    • 27–34 pts: 10–20%
    • 43–45 pts: 40–50%
    • 55–60 pts: ≥80%
    Longitudinal risk assessment;
    prospective data
    No external validation
    CT-GAP model [8]Gender
    Age
    FVC % pred
    Semi-quantitative CT fibrosis score
    Cumulative mortality at 1, 2, 3 years
    Examples 1-year mortality risk:
    Stage I (0–3 pts): 5%
    Stage II (4–5 pts): 19%
    Stage III (6–8 pts): 43%
    Accuracy comparable to that of the original GAP model; alternative model when DLCO unmeasurable or not available; externally validatedRetrospective data;
    requires expertise in quantification of CT disease extent

    DLCO: diffusing capacity of carbon monoxide; FVC: forced vital capacity; FEV1: forced expiratory volume in 1 s; CT: computed tomography; % pred: % predicted; pts: points. Reproduced and modified from [89] with permission from the publisher.

    Supplementary Materials

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    • Supplementary Material

      F. Chua ERR-0051-2017_Chua

      A. Devaraj ERR-0051-2017_Devaraj

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    Evaluating disease severity in idiopathic pulmonary fibrosis
    Hasti Robbie, Cécile Daccord, Felix Chua, Anand Devaraj
    European Respiratory Review Sep 2017, 26 (145) 170051; DOI: 10.1183/16000617.0051-2017

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    Evaluating disease severity in idiopathic pulmonary fibrosis
    Hasti Robbie, Cécile Daccord, Felix Chua, Anand Devaraj
    European Respiratory Review Sep 2017, 26 (145) 170051; DOI: 10.1183/16000617.0051-2017
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    • Article
      • Abstract
      • Abstract
      • Introduction
      • Why stage patients with IPF?
      • Clinical, physiological and functional markers of disease severity
      • Radiological markers of disease severity
      • Composite measures of disease severity
      • Histopathological staging in IPF
      • Summary
      • Disclosures
      • Footnotes
      • References
    • Figures & Data
    • Info & Metrics
    • PDF

    Subjects

    • Interstitial and orphan lung disease
    • Lung imaging
    • Lung structure and function
    • Respiratory clinical practice
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