Cargando…

Prediction of Anti-Cancer Drug-Induced Pneumonia in Lung Cancer Patients: Novel High-Resolution Computed Tomography Fibrosis Scoring

Background and objective: Pre-existing interstitial lung disease (ILD) in lung cancer patients is considered a risk factor for anti-cancer drug-induced pneumonia; however, a method for evaluating ILD, including mild cases, has not yet been established. We aimed to elucidate whether the quantitative...

Descripción completa

Detalles Bibliográficos
Autores principales: Gyotoku, Hiroshi, Yamaguchi, Hiroyuki, Ishimoto, Hiroshi, Sato, Shuntaro, Taniguchi, Hirokazu, Senju, Hiroaki, Kakugawa, Tomoyuki, Nakatomi, Katsumi, Sakamoto, Noriho, Fukuda, Minoru, Obase, Yasushi, Soda, Hiroshi, Ashizawa, Kazuto, Mukae, Hiroshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7230276/
https://www.ncbi.nlm.nih.gov/pubmed/32272762
http://dx.doi.org/10.3390/jcm9041045
_version_ 1783534912004947968
author Gyotoku, Hiroshi
Yamaguchi, Hiroyuki
Ishimoto, Hiroshi
Sato, Shuntaro
Taniguchi, Hirokazu
Senju, Hiroaki
Kakugawa, Tomoyuki
Nakatomi, Katsumi
Sakamoto, Noriho
Fukuda, Minoru
Obase, Yasushi
Soda, Hiroshi
Ashizawa, Kazuto
Mukae, Hiroshi
author_facet Gyotoku, Hiroshi
Yamaguchi, Hiroyuki
Ishimoto, Hiroshi
Sato, Shuntaro
Taniguchi, Hirokazu
Senju, Hiroaki
Kakugawa, Tomoyuki
Nakatomi, Katsumi
Sakamoto, Noriho
Fukuda, Minoru
Obase, Yasushi
Soda, Hiroshi
Ashizawa, Kazuto
Mukae, Hiroshi
author_sort Gyotoku, Hiroshi
collection PubMed
description Background and objective: Pre-existing interstitial lung disease (ILD) in lung cancer patients is considered a risk factor for anti-cancer drug-induced pneumonia; however, a method for evaluating ILD, including mild cases, has not yet been established. We aimed to elucidate whether the quantitative high-resolution computed tomography fibrosis score (HFS) is correlated with the risk of anti-cancer drug-induced pneumonia in lung cancer patients, even in those with mild pre-existing ILD. Methods: The retrospective single-institute study cohort comprised 214 lung cancer patients who underwent chemotherapy between April 2013 and March 2016. The HFS quantitatively evaluated the grade of pre-existing ILD. We extracted data regarding age, sex, smoking history, and coexisting factors that could affect the incidence of anti-cancer drug-induced pneumonia. Cox proportional hazard models were used to analyze the effects of the HFS and other factors on the risk of anti-cancer drug-induced pneumonia. Results: Pre-existing ILD was detected in 61 (29%) of 214 patients, while honeycombing and traction bronchiectasis were observed in only 15 (7.0%) and 10 (4.7%) patients, respectively. Anti-cancer drug-induced pneumonia developed in 19 (8.9%) patients. The risk of anti-cancer drug-induced pneumonia increased in proportion to the HFS (hazard ratio, 1.16 per point; 95% confidence interval, 1.09–1.22; p < 0.0001). Conclusions: The quantitative HFS was correlated with the risk of developing anti-cancer drug-induced pneumonia in lung cancer patients, even in the absence of honeycombing or traction bronchiectasis. The quantitative HFS may lead to better management of lung cancer patients with pre-existing ILD.
format Online
Article
Text
id pubmed-7230276
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-72302762020-05-28 Prediction of Anti-Cancer Drug-Induced Pneumonia in Lung Cancer Patients: Novel High-Resolution Computed Tomography Fibrosis Scoring Gyotoku, Hiroshi Yamaguchi, Hiroyuki Ishimoto, Hiroshi Sato, Shuntaro Taniguchi, Hirokazu Senju, Hiroaki Kakugawa, Tomoyuki Nakatomi, Katsumi Sakamoto, Noriho Fukuda, Minoru Obase, Yasushi Soda, Hiroshi Ashizawa, Kazuto Mukae, Hiroshi J Clin Med Article Background and objective: Pre-existing interstitial lung disease (ILD) in lung cancer patients is considered a risk factor for anti-cancer drug-induced pneumonia; however, a method for evaluating ILD, including mild cases, has not yet been established. We aimed to elucidate whether the quantitative high-resolution computed tomography fibrosis score (HFS) is correlated with the risk of anti-cancer drug-induced pneumonia in lung cancer patients, even in those with mild pre-existing ILD. Methods: The retrospective single-institute study cohort comprised 214 lung cancer patients who underwent chemotherapy between April 2013 and March 2016. The HFS quantitatively evaluated the grade of pre-existing ILD. We extracted data regarding age, sex, smoking history, and coexisting factors that could affect the incidence of anti-cancer drug-induced pneumonia. Cox proportional hazard models were used to analyze the effects of the HFS and other factors on the risk of anti-cancer drug-induced pneumonia. Results: Pre-existing ILD was detected in 61 (29%) of 214 patients, while honeycombing and traction bronchiectasis were observed in only 15 (7.0%) and 10 (4.7%) patients, respectively. Anti-cancer drug-induced pneumonia developed in 19 (8.9%) patients. The risk of anti-cancer drug-induced pneumonia increased in proportion to the HFS (hazard ratio, 1.16 per point; 95% confidence interval, 1.09–1.22; p < 0.0001). Conclusions: The quantitative HFS was correlated with the risk of developing anti-cancer drug-induced pneumonia in lung cancer patients, even in the absence of honeycombing or traction bronchiectasis. The quantitative HFS may lead to better management of lung cancer patients with pre-existing ILD. MDPI 2020-04-07 /pmc/articles/PMC7230276/ /pubmed/32272762 http://dx.doi.org/10.3390/jcm9041045 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Gyotoku, Hiroshi
Yamaguchi, Hiroyuki
Ishimoto, Hiroshi
Sato, Shuntaro
Taniguchi, Hirokazu
Senju, Hiroaki
Kakugawa, Tomoyuki
Nakatomi, Katsumi
Sakamoto, Noriho
Fukuda, Minoru
Obase, Yasushi
Soda, Hiroshi
Ashizawa, Kazuto
Mukae, Hiroshi
Prediction of Anti-Cancer Drug-Induced Pneumonia in Lung Cancer Patients: Novel High-Resolution Computed Tomography Fibrosis Scoring
title Prediction of Anti-Cancer Drug-Induced Pneumonia in Lung Cancer Patients: Novel High-Resolution Computed Tomography Fibrosis Scoring
title_full Prediction of Anti-Cancer Drug-Induced Pneumonia in Lung Cancer Patients: Novel High-Resolution Computed Tomography Fibrosis Scoring
title_fullStr Prediction of Anti-Cancer Drug-Induced Pneumonia in Lung Cancer Patients: Novel High-Resolution Computed Tomography Fibrosis Scoring
title_full_unstemmed Prediction of Anti-Cancer Drug-Induced Pneumonia in Lung Cancer Patients: Novel High-Resolution Computed Tomography Fibrosis Scoring
title_short Prediction of Anti-Cancer Drug-Induced Pneumonia in Lung Cancer Patients: Novel High-Resolution Computed Tomography Fibrosis Scoring
title_sort prediction of anti-cancer drug-induced pneumonia in lung cancer patients: novel high-resolution computed tomography fibrosis scoring
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7230276/
https://www.ncbi.nlm.nih.gov/pubmed/32272762
http://dx.doi.org/10.3390/jcm9041045
work_keys_str_mv AT gyotokuhiroshi predictionofanticancerdruginducedpneumoniainlungcancerpatientsnovelhighresolutioncomputedtomographyfibrosisscoring
AT yamaguchihiroyuki predictionofanticancerdruginducedpneumoniainlungcancerpatientsnovelhighresolutioncomputedtomographyfibrosisscoring
AT ishimotohiroshi predictionofanticancerdruginducedpneumoniainlungcancerpatientsnovelhighresolutioncomputedtomographyfibrosisscoring
AT satoshuntaro predictionofanticancerdruginducedpneumoniainlungcancerpatientsnovelhighresolutioncomputedtomographyfibrosisscoring
AT taniguchihirokazu predictionofanticancerdruginducedpneumoniainlungcancerpatientsnovelhighresolutioncomputedtomographyfibrosisscoring
AT senjuhiroaki predictionofanticancerdruginducedpneumoniainlungcancerpatientsnovelhighresolutioncomputedtomographyfibrosisscoring
AT kakugawatomoyuki predictionofanticancerdruginducedpneumoniainlungcancerpatientsnovelhighresolutioncomputedtomographyfibrosisscoring
AT nakatomikatsumi predictionofanticancerdruginducedpneumoniainlungcancerpatientsnovelhighresolutioncomputedtomographyfibrosisscoring
AT sakamotonoriho predictionofanticancerdruginducedpneumoniainlungcancerpatientsnovelhighresolutioncomputedtomographyfibrosisscoring
AT fukudaminoru predictionofanticancerdruginducedpneumoniainlungcancerpatientsnovelhighresolutioncomputedtomographyfibrosisscoring
AT obaseyasushi predictionofanticancerdruginducedpneumoniainlungcancerpatientsnovelhighresolutioncomputedtomographyfibrosisscoring
AT sodahiroshi predictionofanticancerdruginducedpneumoniainlungcancerpatientsnovelhighresolutioncomputedtomographyfibrosisscoring
AT ashizawakazuto predictionofanticancerdruginducedpneumoniainlungcancerpatientsnovelhighresolutioncomputedtomographyfibrosisscoring
AT mukaehiroshi predictionofanticancerdruginducedpneumoniainlungcancerpatientsnovelhighresolutioncomputedtomographyfibrosisscoring