Discriminating dominant computed tomography phenotypes in smokers without or with mild COPD
Summary Background Finding phenotypes within COPD patients may prove imperative for optimizing treatment and prognosis. We hypothesized that it would be possible to discriminate emphysematous, large airway wall thickening and small airways disease dominant phenotypes. Methods Inspiratory and expirat...
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creator | Mohamed Hoesein, Firdaus A.A Schmidt, Michael Mets, Onno M Gietema, Hester A Lammers, Jan-Willem J Zanen, Pieter de Koning, Harry J van der Aalst, Carlijn Oudkerk, Matthijs Vliegenthart, Rozemarijn Isgum, Ivana Prokop, Mathias van Ginneken, Bram van Rikxoort, Eva M de Jong, Pim A |
description | Summary Background Finding phenotypes within COPD patients may prove imperative for optimizing treatment and prognosis. We hypothesized that it would be possible to discriminate emphysematous, large airway wall thickening and small airways disease dominant phenotypes. Methods Inspiratory and expiratory CTs were performed in 1140 male smokers without or with mild COPD to quantify emphysema, airway wall thickness and air trapping. Spirometry, residual volume to total lung capacity (RV/TLC) and diffusion capacity (Kco) were measured. Dominant phenotype (emphysema, airway wall thickening or air trapping dominant) was defined as one of the respective CT measure in the upper quartile, with the other measures not in the upper quartile. Results 573 subjects had any of the three CT measures in the upper quartile. Of these, 367 (64%) were in a single dominant group and 206 (36%) were in a mixed group. Airway wall thickening dominance was associated with younger age ( p |
doi_str_mv | 10.1016/j.rmed.2013.08.014 |
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We hypothesized that it would be possible to discriminate emphysematous, large airway wall thickening and small airways disease dominant phenotypes. Methods Inspiratory and expiratory CTs were performed in 1140 male smokers without or with mild COPD to quantify emphysema, airway wall thickness and air trapping. Spirometry, residual volume to total lung capacity (RV/TLC) and diffusion capacity (Kco) were measured. Dominant phenotype (emphysema, airway wall thickening or air trapping dominant) was defined as one of the respective CT measure in the upper quartile, with the other measures not in the upper quartile. Results 573 subjects had any of the three CT measures in the upper quartile. Of these, 367 (64%) were in a single dominant group and 206 (36%) were in a mixed group. Airway wall thickening dominance was associated with younger age ( p < 0.001), higher body mass index ( p < 0.001), more wheezing ( p < 0.05) and lower FEV1 %predicted ( p < 0.001). Emphysema dominant subjects had lower FEV1 /FVC ( p < 0.05) and Kco %predicted ( p < 0.05). There was no significant difference in respiratory related hospitalizations ( p = 0.09). Conclusion CT measures can discriminate three different CT dominant groups of disease in male smokers without or with mild COPD. Trial registration number ISRCTN63545820, registered at www.trialregister.nl.]]></description><identifier>ISSN: 0954-6111</identifier><identifier>EISSN: 1532-3064</identifier><identifier>DOI: 10.1016/j.rmed.2013.08.014</identifier><identifier>PMID: 24035313</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Aged ; Air trapping ; Airway Remodeling ; Airway wall thickness ; Body Mass Index ; Chronic obstructive pulmonary disease ; Computed tomography ; Disease ; Emphysema ; Forced Expiratory Volume ; Hospitalization ; Hospitals ; Humans ; Lung cancer ; Male ; Middle Aged ; Mortality ; Phenotype ; Predictive Value of Tests ; Prognosis ; Pulmonary Disease, Chronic Obstructive - diagnostic imaging ; Pulmonary Disease, Chronic Obstructive - etiology ; Pulmonary Disease, Chronic Obstructive - pathology ; Pulmonary Disease, Chronic Obstructive - physiopathology ; Pulmonary Emphysema - diagnostic imaging ; Pulmonary Emphysema - pathology ; Pulmonary/Respiratory ; Residual Volume ; Risk Factors ; Sensitivity and Specificity ; Smoking ; Smoking - adverse effects ; Tomography, X-Ray Computed - methods ; Total Lung Capacity</subject><ispartof>Respiratory medicine, 2014-01, Vol.108 (1), p.136-143</ispartof><rights>Elsevier Ltd</rights><rights>2013 Elsevier Ltd</rights><rights>Copyright © 2013 Elsevier Ltd. All rights reserved.</rights><rights>Copyright Elsevier Limited Jan 2014</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c483t-8aa82ec7961d9deaacc0965a7e3e0dacebae836e7b88f756ec2a67f25ca8a4923</citedby><cites>FETCH-LOGICAL-c483t-8aa82ec7961d9deaacc0965a7e3e0dacebae836e7b88f756ec2a67f25ca8a4923</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.rmed.2013.08.014$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24035313$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Mohamed Hoesein, Firdaus A.A</creatorcontrib><creatorcontrib>Schmidt, Michael</creatorcontrib><creatorcontrib>Mets, Onno M</creatorcontrib><creatorcontrib>Gietema, Hester A</creatorcontrib><creatorcontrib>Lammers, Jan-Willem J</creatorcontrib><creatorcontrib>Zanen, Pieter</creatorcontrib><creatorcontrib>de Koning, Harry J</creatorcontrib><creatorcontrib>van der Aalst, Carlijn</creatorcontrib><creatorcontrib>Oudkerk, Matthijs</creatorcontrib><creatorcontrib>Vliegenthart, Rozemarijn</creatorcontrib><creatorcontrib>Isgum, Ivana</creatorcontrib><creatorcontrib>Prokop, Mathias</creatorcontrib><creatorcontrib>van Ginneken, Bram</creatorcontrib><creatorcontrib>van Rikxoort, Eva M</creatorcontrib><creatorcontrib>de Jong, Pim A</creatorcontrib><title>Discriminating dominant computed tomography phenotypes in smokers without or with mild COPD</title><title>Respiratory medicine</title><addtitle>Respir Med</addtitle><description><![CDATA[Summary Background Finding phenotypes within COPD patients may prove imperative for optimizing treatment and prognosis. We hypothesized that it would be possible to discriminate emphysematous, large airway wall thickening and small airways disease dominant phenotypes. Methods Inspiratory and expiratory CTs were performed in 1140 male smokers without or with mild COPD to quantify emphysema, airway wall thickness and air trapping. Spirometry, residual volume to total lung capacity (RV/TLC) and diffusion capacity (Kco) were measured. Dominant phenotype (emphysema, airway wall thickening or air trapping dominant) was defined as one of the respective CT measure in the upper quartile, with the other measures not in the upper quartile. Results 573 subjects had any of the three CT measures in the upper quartile. Of these, 367 (64%) were in a single dominant group and 206 (36%) were in a mixed group. Airway wall thickening dominance was associated with younger age ( p < 0.001), higher body mass index ( p < 0.001), more wheezing ( p < 0.05) and lower FEV1 %predicted ( p < 0.001). Emphysema dominant subjects had lower FEV1 /FVC ( p < 0.05) and Kco %predicted ( p < 0.05). There was no significant difference in respiratory related hospitalizations ( p = 0.09). Conclusion CT measures can discriminate three different CT dominant groups of disease in male smokers without or with mild COPD. Trial registration number ISRCTN63545820, registered at www.trialregister.nl.]]></description><subject>Aged</subject><subject>Air trapping</subject><subject>Airway Remodeling</subject><subject>Airway wall thickness</subject><subject>Body Mass Index</subject><subject>Chronic obstructive pulmonary disease</subject><subject>Computed tomography</subject><subject>Disease</subject><subject>Emphysema</subject><subject>Forced Expiratory Volume</subject><subject>Hospitalization</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Lung cancer</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Phenotype</subject><subject>Predictive Value of Tests</subject><subject>Prognosis</subject><subject>Pulmonary Disease, Chronic Obstructive - diagnostic imaging</subject><subject>Pulmonary Disease, Chronic Obstructive - etiology</subject><subject>Pulmonary Disease, Chronic Obstructive - pathology</subject><subject>Pulmonary Disease, Chronic Obstructive - physiopathology</subject><subject>Pulmonary Emphysema - diagnostic imaging</subject><subject>Pulmonary Emphysema - pathology</subject><subject>Pulmonary/Respiratory</subject><subject>Residual Volume</subject><subject>Risk Factors</subject><subject>Sensitivity and Specificity</subject><subject>Smoking</subject><subject>Smoking - adverse effects</subject><subject>Tomography, X-Ray Computed - methods</subject><subject>Total Lung Capacity</subject><issn>0954-6111</issn><issn>1532-3064</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kU1r3DAQhkVpaLZp_0APRdBLL3ZGlmXJUApl049AIIW2px6EVp7NamNbriS37L-P3E0o5NCTBvTMy8wzhLxiUDJgzfm-DAN2ZQWMl6BKYPUTsmKCVwWHpn5KVtCKumgYY6fkeYx7AGjrGp6R06oGLjjjK_LzwkUb3OBGk9x4Qzu_lGOi1g_TnLCjyQ_-Jphpd6DTDkefDhNG6kYaB3-LIdI_Lu38nKgPf0s6uL6j6-uvFy_Iydb0EV_ev2fkx6eP39dfiqvrz5frD1eFrRVPhTJGVWhl27Cu7dAYa6FthJHIETpjcWNQ8QblRqmtFA3ayjRyWwlrlKnbip-Rt8fcKfhfM8akh7wU9r0Z0c9RswxJkFKKjL55hO79HMY83UIxXjMhVKaqI2WDjzHgVk9ZkQkHzUAv6vVeL-r1ol6D0ll9bnp9Hz1vlr-HlgfXGXh3BDC7-O0w6GgdjhY7F9Am3Xn3__z3j9pt70ZnTX-LB4z_9tCx0qC_Lcdfbs84AGei4XfvXqsO</recordid><startdate>20140101</startdate><enddate>20140101</enddate><creator>Mohamed Hoesein, Firdaus A.A</creator><creator>Schmidt, Michael</creator><creator>Mets, Onno M</creator><creator>Gietema, Hester A</creator><creator>Lammers, Jan-Willem J</creator><creator>Zanen, Pieter</creator><creator>de Koning, Harry J</creator><creator>van der Aalst, Carlijn</creator><creator>Oudkerk, Matthijs</creator><creator>Vliegenthart, Rozemarijn</creator><creator>Isgum, Ivana</creator><creator>Prokop, Mathias</creator><creator>van Ginneken, Bram</creator><creator>van Rikxoort, Eva M</creator><creator>de Jong, Pim A</creator><general>Elsevier Ltd</general><general>Elsevier Limited</general><scope>6I.</scope><scope>AAFTH</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7U9</scope><scope>ASE</scope><scope>FPQ</scope><scope>H94</scope><scope>K6X</scope><scope>K9.</scope><scope>M7N</scope><scope>NAPCQ</scope><scope>7X8</scope></search><sort><creationdate>20140101</creationdate><title>Discriminating dominant computed tomography phenotypes in smokers without or with mild COPD</title><author>Mohamed Hoesein, Firdaus A.A ; Schmidt, Michael ; Mets, Onno M ; Gietema, Hester A ; Lammers, Jan-Willem J ; Zanen, Pieter ; de Koning, Harry J ; van der Aalst, Carlijn ; Oudkerk, Matthijs ; Vliegenthart, Rozemarijn ; Isgum, Ivana ; Prokop, Mathias ; van Ginneken, Bram ; van Rikxoort, Eva M ; de Jong, Pim A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c483t-8aa82ec7961d9deaacc0965a7e3e0dacebae836e7b88f756ec2a67f25ca8a4923</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Aged</topic><topic>Air trapping</topic><topic>Airway Remodeling</topic><topic>Airway wall thickness</topic><topic>Body Mass Index</topic><topic>Chronic obstructive pulmonary disease</topic><topic>Computed tomography</topic><topic>Disease</topic><topic>Emphysema</topic><topic>Forced Expiratory Volume</topic><topic>Hospitalization</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Lung cancer</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Mortality</topic><topic>Phenotype</topic><topic>Predictive Value of Tests</topic><topic>Prognosis</topic><topic>Pulmonary Disease, Chronic Obstructive - diagnostic imaging</topic><topic>Pulmonary Disease, Chronic Obstructive - etiology</topic><topic>Pulmonary Disease, Chronic Obstructive - pathology</topic><topic>Pulmonary Disease, Chronic Obstructive - physiopathology</topic><topic>Pulmonary Emphysema - diagnostic imaging</topic><topic>Pulmonary Emphysema - pathology</topic><topic>Pulmonary/Respiratory</topic><topic>Residual Volume</topic><topic>Risk Factors</topic><topic>Sensitivity and Specificity</topic><topic>Smoking</topic><topic>Smoking - adverse effects</topic><topic>Tomography, X-Ray Computed - methods</topic><topic>Total Lung Capacity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mohamed Hoesein, Firdaus A.A</creatorcontrib><creatorcontrib>Schmidt, Michael</creatorcontrib><creatorcontrib>Mets, Onno M</creatorcontrib><creatorcontrib>Gietema, Hester A</creatorcontrib><creatorcontrib>Lammers, Jan-Willem J</creatorcontrib><creatorcontrib>Zanen, Pieter</creatorcontrib><creatorcontrib>de Koning, Harry J</creatorcontrib><creatorcontrib>van der Aalst, Carlijn</creatorcontrib><creatorcontrib>Oudkerk, Matthijs</creatorcontrib><creatorcontrib>Vliegenthart, Rozemarijn</creatorcontrib><creatorcontrib>Isgum, Ivana</creatorcontrib><creatorcontrib>Prokop, Mathias</creatorcontrib><creatorcontrib>van Ginneken, Bram</creatorcontrib><creatorcontrib>van Rikxoort, Eva M</creatorcontrib><creatorcontrib>de Jong, Pim A</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Virology and AIDS Abstracts</collection><collection>British Nursing Index</collection><collection>British Nursing Index (BNI) (1985 to Present)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>British Nursing Index</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>Respiratory medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mohamed Hoesein, Firdaus A.A</au><au>Schmidt, Michael</au><au>Mets, Onno M</au><au>Gietema, Hester A</au><au>Lammers, Jan-Willem J</au><au>Zanen, Pieter</au><au>de Koning, Harry J</au><au>van der Aalst, Carlijn</au><au>Oudkerk, Matthijs</au><au>Vliegenthart, Rozemarijn</au><au>Isgum, Ivana</au><au>Prokop, Mathias</au><au>van Ginneken, Bram</au><au>van Rikxoort, Eva M</au><au>de Jong, Pim A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Discriminating dominant computed tomography phenotypes in smokers without or with mild COPD</atitle><jtitle>Respiratory medicine</jtitle><addtitle>Respir Med</addtitle><date>2014-01-01</date><risdate>2014</risdate><volume>108</volume><issue>1</issue><spage>136</spage><epage>143</epage><pages>136-143</pages><issn>0954-6111</issn><eissn>1532-3064</eissn><abstract><![CDATA[Summary Background Finding phenotypes within COPD patients may prove imperative for optimizing treatment and prognosis. We hypothesized that it would be possible to discriminate emphysematous, large airway wall thickening and small airways disease dominant phenotypes. Methods Inspiratory and expiratory CTs were performed in 1140 male smokers without or with mild COPD to quantify emphysema, airway wall thickness and air trapping. Spirometry, residual volume to total lung capacity (RV/TLC) and diffusion capacity (Kco) were measured. Dominant phenotype (emphysema, airway wall thickening or air trapping dominant) was defined as one of the respective CT measure in the upper quartile, with the other measures not in the upper quartile. Results 573 subjects had any of the three CT measures in the upper quartile. Of these, 367 (64%) were in a single dominant group and 206 (36%) were in a mixed group. Airway wall thickening dominance was associated with younger age ( p < 0.001), higher body mass index ( p < 0.001), more wheezing ( p < 0.05) and lower FEV1 %predicted ( p < 0.001). Emphysema dominant subjects had lower FEV1 /FVC ( p < 0.05) and Kco %predicted ( p < 0.05). There was no significant difference in respiratory related hospitalizations ( p = 0.09). Conclusion CT measures can discriminate three different CT dominant groups of disease in male smokers without or with mild COPD. Trial registration number ISRCTN63545820, registered at www.trialregister.nl.]]></abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>24035313</pmid><doi>10.1016/j.rmed.2013.08.014</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Aged Air trapping Airway Remodeling Airway wall thickness Body Mass Index Chronic obstructive pulmonary disease Computed tomography Disease Emphysema Forced Expiratory Volume Hospitalization Hospitals Humans Lung cancer Male Middle Aged Mortality Phenotype Predictive Value of Tests Prognosis Pulmonary Disease, Chronic Obstructive - diagnostic imaging Pulmonary Disease, Chronic Obstructive - etiology Pulmonary Disease, Chronic Obstructive - pathology Pulmonary Disease, Chronic Obstructive - physiopathology Pulmonary Emphysema - diagnostic imaging Pulmonary Emphysema - pathology Pulmonary/Respiratory Residual Volume Risk Factors Sensitivity and Specificity Smoking Smoking - adverse effects Tomography, X-Ray Computed - methods Total Lung Capacity |
title | Discriminating dominant computed tomography phenotypes in smokers without or with mild COPD |
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