In this section
@article{Kreuter:2024:10.1183/23120541.00666-2023,
author = {Kreuter, M and Lee, JS and Tzouvelekis, A and Oldham, JM and Molyneaux, PL and Weycker, D and Atwood, M and Samara, K and Kirchgässler, K-U and Maher, TM},
doi = {10.1183/23120541.00666-2023},
journal = {ERJ Open Research},
title = {Modified blood cell GAP model as a prognostic biomarker in idiopathic pulmonary fibrosis},
url = {http://dx.doi.org/10.1183/23120541.00666-2023},
volume = {10},
year = {2024}
}
TY - JOUR
AB - 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.
AU - Kreuter,M
AU - Lee,JS
AU - Tzouvelekis,A
AU - Oldham,JM
AU - Molyneaux,PL
AU - Weycker,D
AU - Atwood,M
AU - Samara,K
AU - Kirchgässler,K-U
AU - Maher,TM
DO - 10.1183/23120541.00666-2023
PY - 2024///
SN - 2312-0541
TI - Modified blood cell GAP model as a prognostic biomarker in idiopathic pulmonary fibrosis
T2 - ERJ Open Research
UR - http://dx.doi.org/10.1183/23120541.00666-2023
UR - https://www.ncbi.nlm.nih.gov/pubmed/39076530
UR - https://openres.ersjournals.com/content/10/4/00666-2023
UR - http://hdl.handle.net/10044/1/113850
VL - 10
ER -
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