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

Abstract

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.

• Authors: Hiroshi Gyotoku, Hiroyuki Yamaguchi, Hiroshi Ishimoto, Shuntaro Sato, Hirokazu Taniguchi, Hiroaki Senju, Tomoyuki Kakugawa, Katsumi Nakatomi, Noriho Sakamoto, Minoru Fukuda, Yasushi Obase, Hiroshi Soda, Kazuto Ashizawa, Hiroshi Mukae
• Journal: Journal of clinical medicine (J Clin Med) Vol. 9 Issue 4 (Apr 07 2020) ISSN: 2077-0383 [Print] Switzerland
• PMID: 32272762 (Publication Type: Journal Article)