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Updated severity and prognosis score of pulmonary alveolar proteinosis: A multi-center cohort study in China
BACKGROUND: The high-resolution computed tomography (HRCT) score is an important component of the severity and prognosis score of pulmonary alveolar proteinosis (SPSP). However, the HRCT score in SPSP only considers the extent of opacity, which is insufficient. METHODS: We retrospectively evaluated...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9941621/ https://www.ncbi.nlm.nih.gov/pubmed/36824611 http://dx.doi.org/10.3389/fmed.2023.1058001 |
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author | Bai, Jiu-Wu Huang, Jian-nan Shi, Shen-yun Ge, Ai Lu, Hai-wen Sun, Xiao-li Gu, Shu-yi Liang, Shuo Cheng, Ke-bin Tian, Xin-lun Xiao, Yong-long Xu, Kai-feng Xu, Jin-Fu |
author_facet | Bai, Jiu-Wu Huang, Jian-nan Shi, Shen-yun Ge, Ai Lu, Hai-wen Sun, Xiao-li Gu, Shu-yi Liang, Shuo Cheng, Ke-bin Tian, Xin-lun Xiao, Yong-long Xu, Kai-feng Xu, Jin-Fu |
author_sort | Bai, Jiu-Wu |
collection | PubMed |
description | BACKGROUND: The high-resolution computed tomography (HRCT) score is an important component of the severity and prognosis score of pulmonary alveolar proteinosis (SPSP). However, the HRCT score in SPSP only considers the extent of opacity, which is insufficient. METHODS: We retrospectively evaluated HRCT scores for 231 patients with autoimmune pulmonary alveolar proteinosis (APAP) from three centers of the China Alliance for Rare Diseases. The SPSPII was created based on the overall density and extent, incorporating the SPSP. The severity of APAP patients was assessed using disease severity scores (DSS), SPSP, and SPSPII to determine the strengths and weaknesses of the different assessment methods. We then prospectively applied the SPSPII to patients before treatment, and the curative effect was assessed after 3 months. RESULTS: The HRCT overall density and extent scores in our retrospective analysis were higher than the extent scores in all patients and every original extent score severity group, as well as higher related to arterial partial oxygen pressure (PaO(2)) than extent scores. The mild patients accounted for 61.9% based on DSS 1–2, 20.3% based on SPSP 1–3, and 20.8% based on SPSPII 1–3. Based on SPSP or SPSPII, the number of severe patients deteriorating was higher in the mild and moderate groups. When applied prospectively, arterial PaO(2) differed between any two SPSPII severity groups. The alveolar-arterial gradient in PaO(2) (P[A-a]O(2)), % predicted carbon monoxide diffusing capacity of the lung (DLCO), and HRCT score were higher in the severe group than in the mild and moderate groups. After diagnosis, mild patients received symptomatic treatment, moderate patients received pure whole lung lavage (WLL) or granulocyte-macrophage colony-stimulating factor (GM-CSF) therapy, and severe patients received WLL and GM-CSF therapy. Importantly, the SPSPII in mild and severe groups were lower than baseline after 3 months. CONCLUSION: The HRCT density and extent scores of patients with APAP were better than the extent score. The SPSPII score system based on smoking status, symptoms, PaO(2), predicted DLCO, and overall HRCT score was better than DSS and SPSP for assessing the severity and efficacy and predicting the prognosis. TRIAL REGISTRATION: ClinicalTrial.gov, identifier: NCT04516577. |
format | Online Article Text |
id | pubmed-9941621 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99416212023-02-22 Updated severity and prognosis score of pulmonary alveolar proteinosis: A multi-center cohort study in China Bai, Jiu-Wu Huang, Jian-nan Shi, Shen-yun Ge, Ai Lu, Hai-wen Sun, Xiao-li Gu, Shu-yi Liang, Shuo Cheng, Ke-bin Tian, Xin-lun Xiao, Yong-long Xu, Kai-feng Xu, Jin-Fu Front Med (Lausanne) Medicine BACKGROUND: The high-resolution computed tomography (HRCT) score is an important component of the severity and prognosis score of pulmonary alveolar proteinosis (SPSP). However, the HRCT score in SPSP only considers the extent of opacity, which is insufficient. METHODS: We retrospectively evaluated HRCT scores for 231 patients with autoimmune pulmonary alveolar proteinosis (APAP) from three centers of the China Alliance for Rare Diseases. The SPSPII was created based on the overall density and extent, incorporating the SPSP. The severity of APAP patients was assessed using disease severity scores (DSS), SPSP, and SPSPII to determine the strengths and weaknesses of the different assessment methods. We then prospectively applied the SPSPII to patients before treatment, and the curative effect was assessed after 3 months. RESULTS: The HRCT overall density and extent scores in our retrospective analysis were higher than the extent scores in all patients and every original extent score severity group, as well as higher related to arterial partial oxygen pressure (PaO(2)) than extent scores. The mild patients accounted for 61.9% based on DSS 1–2, 20.3% based on SPSP 1–3, and 20.8% based on SPSPII 1–3. Based on SPSP or SPSPII, the number of severe patients deteriorating was higher in the mild and moderate groups. When applied prospectively, arterial PaO(2) differed between any two SPSPII severity groups. The alveolar-arterial gradient in PaO(2) (P[A-a]O(2)), % predicted carbon monoxide diffusing capacity of the lung (DLCO), and HRCT score were higher in the severe group than in the mild and moderate groups. After diagnosis, mild patients received symptomatic treatment, moderate patients received pure whole lung lavage (WLL) or granulocyte-macrophage colony-stimulating factor (GM-CSF) therapy, and severe patients received WLL and GM-CSF therapy. Importantly, the SPSPII in mild and severe groups were lower than baseline after 3 months. CONCLUSION: The HRCT density and extent scores of patients with APAP were better than the extent score. The SPSPII score system based on smoking status, symptoms, PaO(2), predicted DLCO, and overall HRCT score was better than DSS and SPSP for assessing the severity and efficacy and predicting the prognosis. TRIAL REGISTRATION: ClinicalTrial.gov, identifier: NCT04516577. Frontiers Media S.A. 2023-02-07 /pmc/articles/PMC9941621/ /pubmed/36824611 http://dx.doi.org/10.3389/fmed.2023.1058001 Text en Copyright © 2023 Bai, Huang, Shi, Ge, Lu, Sun, Gu, Liang, Cheng, Tian, Xiao, Xu and Xu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Medicine Bai, Jiu-Wu Huang, Jian-nan Shi, Shen-yun Ge, Ai Lu, Hai-wen Sun, Xiao-li Gu, Shu-yi Liang, Shuo Cheng, Ke-bin Tian, Xin-lun Xiao, Yong-long Xu, Kai-feng Xu, Jin-Fu Updated severity and prognosis score of pulmonary alveolar proteinosis: A multi-center cohort study in China |
title | Updated severity and prognosis score of pulmonary alveolar proteinosis: A multi-center cohort study in China |
title_full | Updated severity and prognosis score of pulmonary alveolar proteinosis: A multi-center cohort study in China |
title_fullStr | Updated severity and prognosis score of pulmonary alveolar proteinosis: A multi-center cohort study in China |
title_full_unstemmed | Updated severity and prognosis score of pulmonary alveolar proteinosis: A multi-center cohort study in China |
title_short | Updated severity and prognosis score of pulmonary alveolar proteinosis: A multi-center cohort study in China |
title_sort | updated severity and prognosis score of pulmonary alveolar proteinosis: a multi-center cohort study in china |
topic | Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9941621/ https://www.ncbi.nlm.nih.gov/pubmed/36824611 http://dx.doi.org/10.3389/fmed.2023.1058001 |
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