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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...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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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 |
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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 |
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