A retrospective cohort study of interstitial lung abnormalities in pneumoconiosis

<bold>Objectives</bold> To investigate the prevalence, clinical characteristics, and risk factors associated with interstitial lung abnormalities (ILAs) and radiological progression on high-resolution computed tomography (HRCT) scans in patients with pneumoconiosis. <bold>Methods:</bold> A total of 1,116 pneumoconiosis patients were screened for inclusion in this study. Baseline data were thoroughly compared, and Logistic and Cox regression analyses were conducted to identify risk factors associated with the radiological progression of ILAs on HRCT during the follow-up period. <bold>Results:</bold> Out of the 604 pneumoconiosis patients included in the analysis, 11.92% developed ILAs at baseline. Advanced age (OR 2.06, 95% CI 1.17-3.63, P=0.013) and connective tissue disease (CTD)(OR 4.42, 95% CI 1.05-18.62, P=0.043) emerged as independent risk factors for ILAs. Over a median follow-up period of 3.06 years, 10 patients out of 152 non-ILAs pneumoconiosis developing ILAs. 19.67% (36/183) of the patients with pneumoconiosis exhibited radiological progression of ILAs. Reticular abnormalities observed on baseline HRCT (HR 10.70, 95% CI 2.09-54.85, P=0.004) was significantly associated with radiological progression of ILAs in pneumoconiosis. <bold>Conclusions:</bold> ILAs occur in approximately one-tenth of pneumoconiosis patients, particularly in the elderly and those with CTD. Reticular abnormalities were identified as a risk factor for radiological progression of ILAs in pneumoconiosis.

Authors

Institutions

Publication Details

Published
2024-09-14
DOI
https://doi.org/10.1183/13993003.congress-2024.pa2212
Primary Topic
Occupational and environmental lung diseases
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A retrospective cohort study of interstitial lung abnormalities in pneumoconiosis

Di Sun, Yuanying Wang, Ziyun Guo, Qiao Ye et al.
Occupational and environmental lung diseases
article

A retrospective cohort study of interstitial lung abnormalities in pneumoconiosis

Di Sun, Yuanying Wang, Ziyun Guo, Qiao Ye, Xuqin Du, Yawen Song
article en

Abstract

<bold>Objectives</bold> To investigate the prevalence, clinical characteristics, and risk factors associated with interstitial lung abnormalities (ILAs) and radiological progression on high-resolution computed tomography (HRCT) scans in patients with pneumoconiosis. <bold>Methods:</bold> A total of 1,116 pneumoconiosis patients were screened for inclusion in this study. Baseline data were thoroughly compared, and Logistic and Cox regression analyses were conducted to identify risk factors associated with the radiological progression of ILAs on HRCT during the follow-up period. <bold>Results:</bold> Out of the 604 pneumoconiosis patients included in the analysis, 11.92% developed ILAs at baseline. Advanced age (OR 2.06, 95% CI 1.17-3.63, P=0.013) and connective tissue disease (CTD)(OR 4.42, 95% CI 1.05-18.62, P=0.043) emerged as independent risk factors for ILAs. Over a median follow-up period of 3.06 years, 10 patients out of 152 non-ILAs pneumoconiosis developing ILAs. 19.67% (36/183) of the patients with pneumoconiosis exhibited radiological progression of ILAs. Reticular abnormalities observed on baseline HRCT (HR 10.70, 95% CI 2.09-54.85, P=0.004) was significantly associated with radiological progression of ILAs in pneumoconiosis. <bold>Conclusions:</bold> ILAs occur in approximately one-tenth of pneumoconiosis patients, particularly in the elderly and those with CTD. Reticular abnormalities were identified as a risk factor for radiological progression of ILAs in pneumoconiosis.

Beijing Chao-Yang Hospital, Capital Medical University (CN)
Good health and well-being
Openalex Percentile: Top 63%
Occupational and environmental lung diseases
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.