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Diagnostic and prognostic biomarkers for progressive fibrosing interstitial lung disease
No biomarkers have been identified in bronchoalveolar lavage fluid (BALF) for predicting fibrosis progression or prognosis in progressive fibrosing interstitial lung disease (PF-ILD). We investigated BALF biomarkers for PF-ILD diagnosis and prognosis assessment. Overall, 120 patients with interstiti...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10022771/ https://www.ncbi.nlm.nih.gov/pubmed/36930615 http://dx.doi.org/10.1371/journal.pone.0283288 |
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author | Watase, Mayuko Mochimaru, Takao Kawase, Honomi Shinohara, Hiroyuki Sagawa, Shinobu Ikeda, Toshiki Yagi, Shota Yamamura, Hiroyuki Matsuyama, Emiko Kaji, Masanori Kurihara, Momoko Sato, Midori Horiuchi, Kohei Watanabe, Risa Nukaga, Shigenari Irisa, Kaoru Satomi, Ryosuke Oyamada, Yoshitaka |
author_facet | Watase, Mayuko Mochimaru, Takao Kawase, Honomi Shinohara, Hiroyuki Sagawa, Shinobu Ikeda, Toshiki Yagi, Shota Yamamura, Hiroyuki Matsuyama, Emiko Kaji, Masanori Kurihara, Momoko Sato, Midori Horiuchi, Kohei Watanabe, Risa Nukaga, Shigenari Irisa, Kaoru Satomi, Ryosuke Oyamada, Yoshitaka |
author_sort | Watase, Mayuko |
collection | PubMed |
description | No biomarkers have been identified in bronchoalveolar lavage fluid (BALF) for predicting fibrosis progression or prognosis in progressive fibrosing interstitial lung disease (PF-ILD). We investigated BALF biomarkers for PF-ILD diagnosis and prognosis assessment. Overall, 120 patients with interstitial pneumonia who could be diagnosed with PF-ILD or non PF-ILD were enrolled in this retrospective study. PF-ILD was diagnosed according to Cottin’s definition. All patients underwent bronchoscopy and BALF collection. We evaluated blood and BALF parameters, high-resolution computed tomography (HRCT) patterns, and spirometry data to identify factors influencing PF-ILD diagnosis and prognosis. On univariate logistic analysis, age, sex, the BALF white blood cell fraction (neutrophil, lymphocyte, eosinophil, and neutrophil-to-lymphocyte ratio), BALF flow cytometric analysis (CD8), and an idiopathic pulmonary fibrosis/usual interstitial pneumonia pattern on HRCT were correlated with PF-ILD diagnosis. Multivariate logistic regression analysis revealed that sex (male), age (cut-off 62 years, area under the curve [AUC] 0.67; sensitivity 0.80; specificity 0.47), white blood cell fraction in BALF (NLR, neutrophil, and lymphocyte), and CD8 in BALF (cut-off 34.2; AUC 0.66; sensitivity, 0.74; specificity, 0.62) were independent diagnostic predictors for PF-ILD. In BALF, the NLR (cut-off 8.70, AUC 0.62; sensitivity 0.62; specificity 0.70), neutrophil count (cut-off 3.0, AUC 0.59; sensitivity 0.57; specificity 0.63), and lymphocyte count (cut-off 42.0, AUC 0.63; sensitivity 0.77; specificity 0.53) were independent diagnostic predictors. In PF-ILD patients (n = 77), lactate dehydrogenase (cut-off 275, AUC 0.69; sensitivity 0.57; specificity 0.78), Krebs von den Lungen-6 (cut-off 1,140, AUC 0.74; sensitivity 0.71; specificity 0.76), baseline forced vital capacity (FVC) (cut-off 1.75 L, AUC 0.71; sensitivity, 0.93; specificity, 0.46), and BALF neutrophil ratio (cut-off 6.0, AUC 0.72; sensitivity 0.79; specificity 0.80) correlated with death within 3 years. The BALF cellular ratio, particularly the neutrophil ratio, correlated with the diagnosis and prognosis of PF-ILD. These findings may be useful in the management of patients with interstitial pneumonia. |
format | Online Article Text |
id | pubmed-10022771 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-100227712023-03-18 Diagnostic and prognostic biomarkers for progressive fibrosing interstitial lung disease Watase, Mayuko Mochimaru, Takao Kawase, Honomi Shinohara, Hiroyuki Sagawa, Shinobu Ikeda, Toshiki Yagi, Shota Yamamura, Hiroyuki Matsuyama, Emiko Kaji, Masanori Kurihara, Momoko Sato, Midori Horiuchi, Kohei Watanabe, Risa Nukaga, Shigenari Irisa, Kaoru Satomi, Ryosuke Oyamada, Yoshitaka PLoS One Research Article No biomarkers have been identified in bronchoalveolar lavage fluid (BALF) for predicting fibrosis progression or prognosis in progressive fibrosing interstitial lung disease (PF-ILD). We investigated BALF biomarkers for PF-ILD diagnosis and prognosis assessment. Overall, 120 patients with interstitial pneumonia who could be diagnosed with PF-ILD or non PF-ILD were enrolled in this retrospective study. PF-ILD was diagnosed according to Cottin’s definition. All patients underwent bronchoscopy and BALF collection. We evaluated blood and BALF parameters, high-resolution computed tomography (HRCT) patterns, and spirometry data to identify factors influencing PF-ILD diagnosis and prognosis. On univariate logistic analysis, age, sex, the BALF white blood cell fraction (neutrophil, lymphocyte, eosinophil, and neutrophil-to-lymphocyte ratio), BALF flow cytometric analysis (CD8), and an idiopathic pulmonary fibrosis/usual interstitial pneumonia pattern on HRCT were correlated with PF-ILD diagnosis. Multivariate logistic regression analysis revealed that sex (male), age (cut-off 62 years, area under the curve [AUC] 0.67; sensitivity 0.80; specificity 0.47), white blood cell fraction in BALF (NLR, neutrophil, and lymphocyte), and CD8 in BALF (cut-off 34.2; AUC 0.66; sensitivity, 0.74; specificity, 0.62) were independent diagnostic predictors for PF-ILD. In BALF, the NLR (cut-off 8.70, AUC 0.62; sensitivity 0.62; specificity 0.70), neutrophil count (cut-off 3.0, AUC 0.59; sensitivity 0.57; specificity 0.63), and lymphocyte count (cut-off 42.0, AUC 0.63; sensitivity 0.77; specificity 0.53) were independent diagnostic predictors. In PF-ILD patients (n = 77), lactate dehydrogenase (cut-off 275, AUC 0.69; sensitivity 0.57; specificity 0.78), Krebs von den Lungen-6 (cut-off 1,140, AUC 0.74; sensitivity 0.71; specificity 0.76), baseline forced vital capacity (FVC) (cut-off 1.75 L, AUC 0.71; sensitivity, 0.93; specificity, 0.46), and BALF neutrophil ratio (cut-off 6.0, AUC 0.72; sensitivity 0.79; specificity 0.80) correlated with death within 3 years. The BALF cellular ratio, particularly the neutrophil ratio, correlated with the diagnosis and prognosis of PF-ILD. These findings may be useful in the management of patients with interstitial pneumonia. Public Library of Science 2023-03-17 /pmc/articles/PMC10022771/ /pubmed/36930615 http://dx.doi.org/10.1371/journal.pone.0283288 Text en © 2023 Watase et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Watase, Mayuko Mochimaru, Takao Kawase, Honomi Shinohara, Hiroyuki Sagawa, Shinobu Ikeda, Toshiki Yagi, Shota Yamamura, Hiroyuki Matsuyama, Emiko Kaji, Masanori Kurihara, Momoko Sato, Midori Horiuchi, Kohei Watanabe, Risa Nukaga, Shigenari Irisa, Kaoru Satomi, Ryosuke Oyamada, Yoshitaka Diagnostic and prognostic biomarkers for progressive fibrosing interstitial lung disease |
title | Diagnostic and prognostic biomarkers for progressive fibrosing interstitial lung disease |
title_full | Diagnostic and prognostic biomarkers for progressive fibrosing interstitial lung disease |
title_fullStr | Diagnostic and prognostic biomarkers for progressive fibrosing interstitial lung disease |
title_full_unstemmed | Diagnostic and prognostic biomarkers for progressive fibrosing interstitial lung disease |
title_short | Diagnostic and prognostic biomarkers for progressive fibrosing interstitial lung disease |
title_sort | diagnostic and prognostic biomarkers for progressive fibrosing interstitial lung disease |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10022771/ https://www.ncbi.nlm.nih.gov/pubmed/36930615 http://dx.doi.org/10.1371/journal.pone.0283288 |
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