Predictors for bronchoalveolar lavage recovery failure in diffuse parenchymal lung disease

Abstract Bronchoalveolar lavage (BAL) plays a role in the diagnosis of diffuse parenchymal lung diseases (DPLD); however, poor BAL fluid (BALF) recovery results in low diagnostic reliability. BAL is relatively safe, but its indications should be carefully considered in patients with risks. Therefore...

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Autores principales:	Keigo Koda, Hironao Hozumi, Hideki Yasui, Yuzo Suzuki, Masato Karayama, Kazuki Furuhashi, Noriyuki Enomoto, Tomoyuki Fujisawa, Naoki Inui, Yutaro Nakamura, Takafumi Suda
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/093e9f859d5c44fb906cdac1bf318bfa
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spelling	oai:doaj.org-article:093e9f859d5c44fb906cdac1bf318bfa2021-12-02T14:07:47ZPredictors for bronchoalveolar lavage recovery failure in diffuse parenchymal lung disease10.1038/s41598-021-81313-52045-2322https://doaj.org/article/093e9f859d5c44fb906cdac1bf318bfa2021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-81313-5https://doaj.org/toc/2045-2322Abstract Bronchoalveolar lavage (BAL) plays a role in the diagnosis of diffuse parenchymal lung diseases (DPLD); however, poor BAL fluid (BALF) recovery results in low diagnostic reliability. BAL is relatively safe, but its indications should be carefully considered in patients with risks. Therefore, estimating the likelihood of recovery failure is helpful in clinical practice. This study aimed to clarify predictors of BALF recovery failure and to develop its simple-to-use prediction models. We detected the predictors applying a logistic regression model on clinical, physiological, and radiological data from 401 patients with DPLD (derivation cohort). The discrimination performance of the prediction models using these factors was evaluated by the c-index. In the derivation cohort, being a man, the forced expiratory volume in one second/forced vital capacity, and a BAL target site other than right middle lobe or left lingula were independent predictors. The c-indices of models 1 and 2 that we developed were 0.707 and 0.689, respectively. In a separate cohort of 234 patients (validation cohort), the c-indices of the models were 0.689 and 0.670, respectively. In conclusion, we developed and successfully validated simple-to-use prediction models useful for pulmonologists considering BAL indications or target sites, based on independent predictors for BALF recovery failure.Keigo KodaHironao HozumiHideki YasuiYuzo SuzukiMasato KarayamaKazuki FuruhashiNoriyuki EnomotoTomoyuki FujisawaNaoki InuiYutaro NakamuraTakafumi SudaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Keigo Koda Hironao Hozumi Hideki Yasui Yuzo Suzuki Masato Karayama Kazuki Furuhashi Noriyuki Enomoto Tomoyuki Fujisawa Naoki Inui Yutaro Nakamura Takafumi Suda Predictors for bronchoalveolar lavage recovery failure in diffuse parenchymal lung disease
description	Abstract Bronchoalveolar lavage (BAL) plays a role in the diagnosis of diffuse parenchymal lung diseases (DPLD); however, poor BAL fluid (BALF) recovery results in low diagnostic reliability. BAL is relatively safe, but its indications should be carefully considered in patients with risks. Therefore, estimating the likelihood of recovery failure is helpful in clinical practice. This study aimed to clarify predictors of BALF recovery failure and to develop its simple-to-use prediction models. We detected the predictors applying a logistic regression model on clinical, physiological, and radiological data from 401 patients with DPLD (derivation cohort). The discrimination performance of the prediction models using these factors was evaluated by the c-index. In the derivation cohort, being a man, the forced expiratory volume in one second/forced vital capacity, and a BAL target site other than right middle lobe or left lingula were independent predictors. The c-indices of models 1 and 2 that we developed were 0.707 and 0.689, respectively. In a separate cohort of 234 patients (validation cohort), the c-indices of the models were 0.689 and 0.670, respectively. In conclusion, we developed and successfully validated simple-to-use prediction models useful for pulmonologists considering BAL indications or target sites, based on independent predictors for BALF recovery failure.
format	article
author	Keigo Koda Hironao Hozumi Hideki Yasui Yuzo Suzuki Masato Karayama Kazuki Furuhashi Noriyuki Enomoto Tomoyuki Fujisawa Naoki Inui Yutaro Nakamura Takafumi Suda
author_facet	Keigo Koda Hironao Hozumi Hideki Yasui Yuzo Suzuki Masato Karayama Kazuki Furuhashi Noriyuki Enomoto Tomoyuki Fujisawa Naoki Inui Yutaro Nakamura Takafumi Suda
author_sort	Keigo Koda
title	Predictors for bronchoalveolar lavage recovery failure in diffuse parenchymal lung disease
title_short	Predictors for bronchoalveolar lavage recovery failure in diffuse parenchymal lung disease
title_full	Predictors for bronchoalveolar lavage recovery failure in diffuse parenchymal lung disease
title_fullStr	Predictors for bronchoalveolar lavage recovery failure in diffuse parenchymal lung disease
title_full_unstemmed	Predictors for bronchoalveolar lavage recovery failure in diffuse parenchymal lung disease
title_sort	predictors for bronchoalveolar lavage recovery failure in diffuse parenchymal lung disease
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/093e9f859d5c44fb906cdac1bf318bfa
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Predictors for bronchoalveolar lavage recovery failure in diffuse parenchymal lung disease

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