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Modified blood cell GAP model as a prognostic biomarker in idiopathic pulmonary fibrosis.
Kreuter, Michael; Lee, Joyce S; Tzouvelekis, Argyrios; Oldham, Justin M; Molyneaux, Philip L; Weycker, Derek; Atwood, Mark; Samara, Katerina; Kirchgässler, Klaus-Uwe; Maher, Toby M.
Affiliation
  • Kreuter M; Center for Pulmonary Medicine, Departments of Pneumology, Mainz University Medical Center, and of Pulmonary, Critical Care and Sleep Medicine, Marienhaus Clinic Mainz, Mainz, Germany.
  • Lee JS; Department of Medicine, University of Colorado, Denver, CO, USA.
  • Tzouvelekis A; Department of Respiratory Medicine, University of Patras, Patras, Greece.
  • Oldham JM; Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, MI, USA.
  • Molyneaux PL; Interstitial Lung Disease Unit, Royal Brompton and Harefield Hospitals, Guy's and St Thomas' NHS Foundation Trust, London, UK.
  • Weycker D; National Heart and Lung Institute, Imperial College London, London, UK.
  • Atwood M; Avalere Health, Boston, MA, USA.
  • Samara K; Avalere Health, Boston, MA, USA.
  • Kirchgässler KU; F. Hoffmann-La Roche, Ltd., Basel, Switzerland.
  • Maher TM; F. Hoffmann-La Roche, Ltd., Basel, Switzerland.
ERJ Open Res ; 10(4)2024 Jul.
Article in En | MEDLINE | ID: mdl-39076530
ABSTRACT

Background:

The Gender, Age and Physiology (GAP) model is a simple mortality prediction tool in patients with idiopathic pulmonary fibrosis that uses demographic and physiological variables available at initial evaluation. White blood cell variables may have associations with idiopathic pulmonary fibrosis outcomes. We evaluated whether incorporating blood cell counts in modified GAP (cGAP) models would improve outcome prediction in patients with idiopathic pulmonary fibrosis. Patients and

methods:

This retrospective analysis included pooled data from phase 3 randomised trials of pirfenidone in idiopathic pulmonary fibrosis (ASCEND, CAPACITY 004, CAPACITY 006). Study outcomes (disease progression, all-cause mortality, all-cause hospitalisation, respiratory-related hospitalisation) were evaluated during the initial 1-year period. Shared frailty models were used to evaluate associations between continuous and categorical baseline white and red blood cell parameters and study outcomes in a bivariate context, and to evaluate the impact of adding continuous monocyte count (cGAP1) or white and red blood cell parameters (cGAP2) to traditional GAP variables in a multivariable context based on C-statistics changes.

Results:

Data were pooled from 1247 patients (pirfenidone, n=623; placebo, n=624). Significant associations (bivariate analyses) were idiopathic pulmonary fibrosis progression with neutrophil and eosinophil counts; all-cause mortality with monocyte and neutrophil counts; all-cause hospitalisation with monocyte count, neutrophil count and haemoglobin level; and respiratory-related hospitalisation with monocyte count, neutrophil count and haemoglobin level. In multivariate analyses, C-statistics were highest for the cGAP2 model for each of the outcomes.

Conclusion:

Modified GAP models incorporating monocyte counts alone or plus other white and red blood cell variables may be useful to improve prediction of outcomes in patients with idiopathic pulmonary fibrosis.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: ERJ Open Res Year: 2024 Document type: Article Affiliation country: Germany

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: ERJ Open Res Year: 2024 Document type: Article Affiliation country: Germany