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A proposed prognostic prediction score for pleuroparenchymal fibroelastosis

BACKGROUND: Clinical course of pleuroparenchymal fibroelastosis (PPFE) shows considerable variation among patients, but there is no established prognostic prediction model for PPFE. METHODS: The prediction model was developed using retrospective data from two cohorts: our single-center cohort and a...

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Autores principales: Kinoshita, Yoshiaki, Ikeda, Takato, Miyamura, Takuto, Ueda, Yusuke, Yoshida, Yuji, Kushima, Hisako, Fujita, Masaki, Ogura, Takashi, Watanabe, Kentaro, Ishii, Hiroshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8400711/
https://www.ncbi.nlm.nih.gov/pubmed/34330287
http://dx.doi.org/10.1186/s12931-021-01810-z
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author Kinoshita, Yoshiaki
Ikeda, Takato
Miyamura, Takuto
Ueda, Yusuke
Yoshida, Yuji
Kushima, Hisako
Fujita, Masaki
Ogura, Takashi
Watanabe, Kentaro
Ishii, Hiroshi
author_facet Kinoshita, Yoshiaki
Ikeda, Takato
Miyamura, Takuto
Ueda, Yusuke
Yoshida, Yuji
Kushima, Hisako
Fujita, Masaki
Ogura, Takashi
Watanabe, Kentaro
Ishii, Hiroshi
author_sort Kinoshita, Yoshiaki
collection PubMed
description BACKGROUND: Clinical course of pleuroparenchymal fibroelastosis (PPFE) shows considerable variation among patients, but there is no established prognostic prediction model for PPFE. METHODS: The prediction model was developed using retrospective data from two cohorts: our single-center cohort and a nationwide multicenter cohort involving 21 institutions. Cox regression analyses were used to identify prognostic factors. The total score was defined as the weighted sum of values for the selected variables. The performance of the prediction models was evaluated by Harrell’s concordance index (C-index). We also examined the usefulness of the gender-age-physiology (GAP) model for predicting the prognosis of PPFE patients. RESULTS: We examined 104 patients with PPFE (52 cases from each cohort). In a multivariate Cox analysis, a lower forced vital capacity (FVC [defined as FVC < 65%]; hazard ratio [HR], 2.23), a history of pneumothorax (HR, 3.27), the presence of a lower lobe interstitial lung disease (ILD) (HR, 2.31), and higher serum Krebs von den Lungen-6 (KL-6) levels (> 550 U/mL, HR, 2.56) were significantly associated with a poor prognosis. The total score was calculated as 1 × (FVC, < 65%) + 1 × (history of pneumothorax) + 1 × (presence of lower lobe ILD) + 1 × (KL-6, > 550 U/mL). PPFE patients were divided into three groups based on the prognostic score: stage I (0–1 points), stage II (2 points), and stage III (3–4 points). The survival rates were significantly different in each stage. The GAP stage was significantly associated with the prognosis of PPFE, but no difference was found between moderate (stage II) and severe (stage III) disease. Our new model for PPFE patients (PPFE Prognosis Score) showed better performance in the prediction of mortality in comparison to the GAP model (C-index of 0.713 vs. 0.649). CONCLUSIONS: Our new model for PPFE patients could be useful for predicting their prognosis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12931-021-01810-z.
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spelling pubmed-84007112021-08-30 A proposed prognostic prediction score for pleuroparenchymal fibroelastosis Kinoshita, Yoshiaki Ikeda, Takato Miyamura, Takuto Ueda, Yusuke Yoshida, Yuji Kushima, Hisako Fujita, Masaki Ogura, Takashi Watanabe, Kentaro Ishii, Hiroshi Respir Res Research BACKGROUND: Clinical course of pleuroparenchymal fibroelastosis (PPFE) shows considerable variation among patients, but there is no established prognostic prediction model for PPFE. METHODS: The prediction model was developed using retrospective data from two cohorts: our single-center cohort and a nationwide multicenter cohort involving 21 institutions. Cox regression analyses were used to identify prognostic factors. The total score was defined as the weighted sum of values for the selected variables. The performance of the prediction models was evaluated by Harrell’s concordance index (C-index). We also examined the usefulness of the gender-age-physiology (GAP) model for predicting the prognosis of PPFE patients. RESULTS: We examined 104 patients with PPFE (52 cases from each cohort). In a multivariate Cox analysis, a lower forced vital capacity (FVC [defined as FVC < 65%]; hazard ratio [HR], 2.23), a history of pneumothorax (HR, 3.27), the presence of a lower lobe interstitial lung disease (ILD) (HR, 2.31), and higher serum Krebs von den Lungen-6 (KL-6) levels (> 550 U/mL, HR, 2.56) were significantly associated with a poor prognosis. The total score was calculated as 1 × (FVC, < 65%) + 1 × (history of pneumothorax) + 1 × (presence of lower lobe ILD) + 1 × (KL-6, > 550 U/mL). PPFE patients were divided into three groups based on the prognostic score: stage I (0–1 points), stage II (2 points), and stage III (3–4 points). The survival rates were significantly different in each stage. The GAP stage was significantly associated with the prognosis of PPFE, but no difference was found between moderate (stage II) and severe (stage III) disease. Our new model for PPFE patients (PPFE Prognosis Score) showed better performance in the prediction of mortality in comparison to the GAP model (C-index of 0.713 vs. 0.649). CONCLUSIONS: Our new model for PPFE patients could be useful for predicting their prognosis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12931-021-01810-z. BioMed Central 2021-07-30 2021 /pmc/articles/PMC8400711/ /pubmed/34330287 http://dx.doi.org/10.1186/s12931-021-01810-z Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Kinoshita, Yoshiaki
Ikeda, Takato
Miyamura, Takuto
Ueda, Yusuke
Yoshida, Yuji
Kushima, Hisako
Fujita, Masaki
Ogura, Takashi
Watanabe, Kentaro
Ishii, Hiroshi
A proposed prognostic prediction score for pleuroparenchymal fibroelastosis
title A proposed prognostic prediction score for pleuroparenchymal fibroelastosis
title_full A proposed prognostic prediction score for pleuroparenchymal fibroelastosis
title_fullStr A proposed prognostic prediction score for pleuroparenchymal fibroelastosis
title_full_unstemmed A proposed prognostic prediction score for pleuroparenchymal fibroelastosis
title_short A proposed prognostic prediction score for pleuroparenchymal fibroelastosis
title_sort proposed prognostic prediction score for pleuroparenchymal fibroelastosis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8400711/
https://www.ncbi.nlm.nih.gov/pubmed/34330287
http://dx.doi.org/10.1186/s12931-021-01810-z
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