Cargando…

Cluster phenotypes in a non-idiopathic pulmonary fibrosis fibrotic interstitial lung diseases cohort in Singapore

BACKGROUND: Non-idiopathic pulmonary fibrosis fibrosing interstitial lung diseases (F-ILDs) may demonstrate a progressive disease trajectory similar to idiopathic pulmonary fibrosis (IPF). We aimed to identify novel F-ILD phenotypes in a multi-ethnic South-East Asian population. METHODS: F-ILD subje...

Descripción completa

Detalles Bibliográficos
Autores principales: Kam, Michelle Li Wei, Tiew, Pei Yee, Chai, Hui Zhong, Low, Su Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9344411/
https://www.ncbi.nlm.nih.gov/pubmed/35928611
http://dx.doi.org/10.21037/jtd-22-40
_version_ 1784761212605562880
author Kam, Michelle Li Wei
Tiew, Pei Yee
Chai, Hui Zhong
Low, Su Ying
author_facet Kam, Michelle Li Wei
Tiew, Pei Yee
Chai, Hui Zhong
Low, Su Ying
author_sort Kam, Michelle Li Wei
collection PubMed
description BACKGROUND: Non-idiopathic pulmonary fibrosis fibrosing interstitial lung diseases (F-ILDs) may demonstrate a progressive disease trajectory similar to idiopathic pulmonary fibrosis (IPF). We aimed to identify novel F-ILD phenotypes in a multi-ethnic South-East Asian population. METHODS: F-ILD subjects (n=201) were analysed using unsupervised hierarchical cluster analysis and their outcomes compared against IPF (n=86). RESULTS: Four clusters were identified. Cluster 1 (n=53, 26.4%) comprised older Chinese males with high body mass index (BMI) and comorbidity burden, higher baseline forced vital capacity (FVC) percentage predicted and lower diffusing capacity of the lung for carbon monoxide (DLCO) percentage predicted. They had similar mortality to IPF. Cluster 2 (n=67, 33.3%) had younger female non-smokers with low comorbidity burden, groundglass changes on high-resolution chest computed tomography (HRCT) and a positive anti-nuclear antibody (ANA) titre ≥1:160. They had lower baseline FVC and higher DLCO, low mortality and slower lung function decline. Cluster 3 (n=42, 20.9%) consisted male smokers with low comorbidity burden, emphysema on HRCT and high baseline lung function. They had low mortality and slow lung function decline. Cluster 4 (n=39, 19.4%) was the highest risk and comprised of mainly Indians with high BMI. They had the highest proportion of ischemic heart disease (IHD) and previous pulmonary tuberculosis. Subjects had the lowest baseline lung function, highest mortality, and fastest lung function decline. Survival differences across clusters remained significant following adjustment for treatment. CONCLUSIONS: We identified four distinct F-ILD clinical phenotypes with varying disease trajectories. This demonstrates heterogeneity in F-ILD and the need for complementary approaches for classification and prognostication beyond ATS/ERS guideline diagnosis.
format Online
Article
Text
id pubmed-9344411
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher AME Publishing Company
record_format MEDLINE/PubMed
spelling pubmed-93444112022-08-03 Cluster phenotypes in a non-idiopathic pulmonary fibrosis fibrotic interstitial lung diseases cohort in Singapore Kam, Michelle Li Wei Tiew, Pei Yee Chai, Hui Zhong Low, Su Ying J Thorac Dis Original Article BACKGROUND: Non-idiopathic pulmonary fibrosis fibrosing interstitial lung diseases (F-ILDs) may demonstrate a progressive disease trajectory similar to idiopathic pulmonary fibrosis (IPF). We aimed to identify novel F-ILD phenotypes in a multi-ethnic South-East Asian population. METHODS: F-ILD subjects (n=201) were analysed using unsupervised hierarchical cluster analysis and their outcomes compared against IPF (n=86). RESULTS: Four clusters were identified. Cluster 1 (n=53, 26.4%) comprised older Chinese males with high body mass index (BMI) and comorbidity burden, higher baseline forced vital capacity (FVC) percentage predicted and lower diffusing capacity of the lung for carbon monoxide (DLCO) percentage predicted. They had similar mortality to IPF. Cluster 2 (n=67, 33.3%) had younger female non-smokers with low comorbidity burden, groundglass changes on high-resolution chest computed tomography (HRCT) and a positive anti-nuclear antibody (ANA) titre ≥1:160. They had lower baseline FVC and higher DLCO, low mortality and slower lung function decline. Cluster 3 (n=42, 20.9%) consisted male smokers with low comorbidity burden, emphysema on HRCT and high baseline lung function. They had low mortality and slow lung function decline. Cluster 4 (n=39, 19.4%) was the highest risk and comprised of mainly Indians with high BMI. They had the highest proportion of ischemic heart disease (IHD) and previous pulmonary tuberculosis. Subjects had the lowest baseline lung function, highest mortality, and fastest lung function decline. Survival differences across clusters remained significant following adjustment for treatment. CONCLUSIONS: We identified four distinct F-ILD clinical phenotypes with varying disease trajectories. This demonstrates heterogeneity in F-ILD and the need for complementary approaches for classification and prognostication beyond ATS/ERS guideline diagnosis. AME Publishing Company 2022-07 /pmc/articles/PMC9344411/ /pubmed/35928611 http://dx.doi.org/10.21037/jtd-22-40 Text en 2022 Journal of Thoracic Disease. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Kam, Michelle Li Wei
Tiew, Pei Yee
Chai, Hui Zhong
Low, Su Ying
Cluster phenotypes in a non-idiopathic pulmonary fibrosis fibrotic interstitial lung diseases cohort in Singapore
title Cluster phenotypes in a non-idiopathic pulmonary fibrosis fibrotic interstitial lung diseases cohort in Singapore
title_full Cluster phenotypes in a non-idiopathic pulmonary fibrosis fibrotic interstitial lung diseases cohort in Singapore
title_fullStr Cluster phenotypes in a non-idiopathic pulmonary fibrosis fibrotic interstitial lung diseases cohort in Singapore
title_full_unstemmed Cluster phenotypes in a non-idiopathic pulmonary fibrosis fibrotic interstitial lung diseases cohort in Singapore
title_short Cluster phenotypes in a non-idiopathic pulmonary fibrosis fibrotic interstitial lung diseases cohort in Singapore
title_sort cluster phenotypes in a non-idiopathic pulmonary fibrosis fibrotic interstitial lung diseases cohort in singapore
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9344411/
https://www.ncbi.nlm.nih.gov/pubmed/35928611
http://dx.doi.org/10.21037/jtd-22-40
work_keys_str_mv AT kammichelleliwei clusterphenotypesinanonidiopathicpulmonaryfibrosisfibroticinterstitiallungdiseasescohortinsingapore
AT tiewpeiyee clusterphenotypesinanonidiopathicpulmonaryfibrosisfibroticinterstitiallungdiseasescohortinsingapore
AT chaihuizhong clusterphenotypesinanonidiopathicpulmonaryfibrosisfibroticinterstitiallungdiseasescohortinsingapore
AT lowsuying clusterphenotypesinanonidiopathicpulmonaryfibrosisfibroticinterstitiallungdiseasescohortinsingapore