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A formula for predicting emphysema extent in combined idiopathic pulmonary fibrosis and emphysema
No single pulmonary function test captures the functional effect of emphysema in idiopathic pulmonary fibrosis (IPF). Without experienced radiologists, other methods are needed to determine emphysema extent. Here, we report the development and validation of a formula to predict emphysema extent in p...
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| Published in: | Respiratory research 2024-01, Vol.25 (1), p.33-33, Article 33 |
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| creator | Wells, Athol U Jacob, Joseph Sverzellati, Nicola Cross, Gary Barnett, Joseph De Lauretis, Angelo Antoniou, Katerina Weycker, Derek Atwood, Mark Kirchgaessler, Klaus-Uwe Cottin, Vincent |
| description | No single pulmonary function test captures the functional effect of emphysema in idiopathic pulmonary fibrosis (IPF). Without experienced radiologists, other methods are needed to determine emphysema extent. Here, we report the development and validation of a formula to predict emphysema extent in patients with IPF and emphysema.
The development cohort included 76 patients with combined IPF and emphysema at the Royal Brompton Hospital, London, United Kingdom. The formula was derived using stepwise regression to generate the weighted combination of pulmonary function data that fitted best with emphysema extent on high-resolution computed tomography. Test cohorts included patients from two clinical trials (n = 455 [n = 174 with emphysema]; NCT00047645, NCT00075998) and a real-world cohort from the Royal Brompton Hospital (n = 191 [n = 110 with emphysema]). The formula is only applicable for patients with IPF and concomitant emphysema and accordingly was not used to detect the presence or absence of emphysema.
The formula was: predicted emphysema extent = 12.67 + (0.92 x percent predicted forced vital capacity) - (0.65 x percent predicted forced expiratory volume in 1 second) - (0.52 x percent predicted carbon monoxide diffusing capacity). A significant relationship between the formula and observed emphysema extent was found in both cohorts (R
= 0.25, P |
| doi_str_mv | 10.1186/s12931-023-02589-x |
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| fullrecord | <record><control><sourceid>gale_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_c40ceba286e140c09b510fd0836d770e</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A782195679</galeid><doaj_id>oai_doaj_org_article_c40ceba286e140c09b510fd0836d770e</doaj_id><sourcerecordid>A782195679</sourcerecordid><originalsourceid>FETCH-LOGICAL-c564t-c457726b552e2e76a7f2a0b472a9f7e2cdb401b43753f3d978278f496d6f42a73</originalsourceid><addsrcrecordid>eNptUl1rFDEUHUSxtfoHfJCAL75Mzcfk60mWYmuh4IuCbyGTj90sM8mYzMj235vt1rorEsK93JxzkntzmuYtgpcICfaxICwJaiEmdVMh292z5hx1jLZSkh_Pj_Kz5lUpWwgRF5y-bM6IwERwIc4bvQI-5XEZ9D6CKTsbzBziGrhx2twXN2rgdrOLMwgRmDT2IToLgg1p0vMmGDAtw5iizvfAhz6nEgrQ0f6lv25eeD0U9-YxXjTfrz9_u_rS3n29ub1a3bWGsm5uTUc5x6ynFDvsONPcYw37jmMtPXfY2L6DqO8Ip8QTK7nAXPhOMst8hzUnF83tQdcmvVVTDmN9k0o6qIdCymul8xzM4JTpoHG9xoI5VFMoe4qgt1AQZjmHrmp9OmhNSz86a2r7WQ8noqcnMWzUOv1SCHJJMaRV4cOjQk4_F1dmNYZi3DDo6NJSFJaIU0oYJBX6_h_oNi051llVFKaMQ8yOUGtdOwjRp3qx2YuqVZ0FkhUoK-ryP6i6rBuDSdH5UOsnBHwgmPp1JTv_1CSCau8ydXCZqi5TDy5Tu0p6dzyeJ8ofW5HfRIDNiw</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2925670263</pqid></control><display><type>article</type><title>A formula for predicting emphysema extent in combined idiopathic pulmonary fibrosis and emphysema</title><source>Publicly Available Content Database</source><source>PubMed Central</source><source>EZB Electronic Journals Library</source><creator>Wells, Athol U ; Jacob, Joseph ; Sverzellati, Nicola ; Cross, Gary ; Barnett, Joseph ; De Lauretis, Angelo ; Antoniou, Katerina ; Weycker, Derek ; Atwood, Mark ; Kirchgaessler, Klaus-Uwe ; Cottin, Vincent</creator><creatorcontrib>Wells, Athol U ; Jacob, Joseph ; Sverzellati, Nicola ; Cross, Gary ; Barnett, Joseph ; De Lauretis, Angelo ; Antoniou, Katerina ; Weycker, Derek ; Atwood, Mark ; Kirchgaessler, Klaus-Uwe ; Cottin, Vincent</creatorcontrib><description>No single pulmonary function test captures the functional effect of emphysema in idiopathic pulmonary fibrosis (IPF). Without experienced radiologists, other methods are needed to determine emphysema extent. Here, we report the development and validation of a formula to predict emphysema extent in patients with IPF and emphysema.
The development cohort included 76 patients with combined IPF and emphysema at the Royal Brompton Hospital, London, United Kingdom. The formula was derived using stepwise regression to generate the weighted combination of pulmonary function data that fitted best with emphysema extent on high-resolution computed tomography. Test cohorts included patients from two clinical trials (n = 455 [n = 174 with emphysema]; NCT00047645, NCT00075998) and a real-world cohort from the Royal Brompton Hospital (n = 191 [n = 110 with emphysema]). The formula is only applicable for patients with IPF and concomitant emphysema and accordingly was not used to detect the presence or absence of emphysema.
The formula was: predicted emphysema extent = 12.67 + (0.92 x percent predicted forced vital capacity) - (0.65 x percent predicted forced expiratory volume in 1 second) - (0.52 x percent predicted carbon monoxide diffusing capacity). A significant relationship between the formula and observed emphysema extent was found in both cohorts (R
= 0.25, P < 0.0001; R
= 0.47, P < 0.0001, respectively). In both, the formula better predicted observed emphysema extent versus individual pulmonary function tests. A 15% emphysema extent threshold, calculated using the formula, identified a significant difference in absolute changes from baseline in forced vital capacity at Week 48 in patients with baseline-predicted emphysema extent < 15% versus ≥ 15% (P = 0.0105).
The formula, designed for use in patients with IPF and emphysema, demonstrated enhanced ability to predict emphysema extent versus individual pulmonary function tests.
NCT00047645; NCT00075998.</description><identifier>ISSN: 1465-993X</identifier><identifier>ISSN: 1465-9921</identifier><identifier>EISSN: 1465-993X</identifier><identifier>EISSN: 1465-9921</identifier><identifier>DOI: 10.1186/s12931-023-02589-x</identifier><identifier>PMID: 38238788</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Automation ; Carbon monoxide ; Clinical trial cohort ; Clinical trials ; Complications and side effects ; Computed tomography ; Development and progression ; Diagnosis ; Emphysema ; Emphysema, Pulmonary ; Fibrosis ; Hospitals ; Interstitial lung disease ; Lung diseases ; Patients ; Pulmonary fibrosis ; Pulmonary function test ; Pulmonary functions ; Radiology ; Real-world cohort ; Respiratory function ; Risk factors ; Tomography ; Variables</subject><ispartof>Respiratory research, 2024-01, Vol.25 (1), p.33-33, Article 33</ispartof><rights>2024. Crown.</rights><rights>COPYRIGHT 2024 BioMed Central Ltd.</rights><rights>2024. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Crown 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c564t-c457726b552e2e76a7f2a0b472a9f7e2cdb401b43753f3d978278f496d6f42a73</citedby><cites>FETCH-LOGICAL-c564t-c457726b552e2e76a7f2a0b472a9f7e2cdb401b43753f3d978278f496d6f42a73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10795205/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2925670263?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25751,27922,27923,37010,37011,44588,53789,53791</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38238788$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wells, Athol U</creatorcontrib><creatorcontrib>Jacob, Joseph</creatorcontrib><creatorcontrib>Sverzellati, Nicola</creatorcontrib><creatorcontrib>Cross, Gary</creatorcontrib><creatorcontrib>Barnett, Joseph</creatorcontrib><creatorcontrib>De Lauretis, Angelo</creatorcontrib><creatorcontrib>Antoniou, Katerina</creatorcontrib><creatorcontrib>Weycker, Derek</creatorcontrib><creatorcontrib>Atwood, Mark</creatorcontrib><creatorcontrib>Kirchgaessler, Klaus-Uwe</creatorcontrib><creatorcontrib>Cottin, Vincent</creatorcontrib><title>A formula for predicting emphysema extent in combined idiopathic pulmonary fibrosis and emphysema</title><title>Respiratory research</title><addtitle>Respir Res</addtitle><description>No single pulmonary function test captures the functional effect of emphysema in idiopathic pulmonary fibrosis (IPF). Without experienced radiologists, other methods are needed to determine emphysema extent. Here, we report the development and validation of a formula to predict emphysema extent in patients with IPF and emphysema.
The development cohort included 76 patients with combined IPF and emphysema at the Royal Brompton Hospital, London, United Kingdom. The formula was derived using stepwise regression to generate the weighted combination of pulmonary function data that fitted best with emphysema extent on high-resolution computed tomography. Test cohorts included patients from two clinical trials (n = 455 [n = 174 with emphysema]; NCT00047645, NCT00075998) and a real-world cohort from the Royal Brompton Hospital (n = 191 [n = 110 with emphysema]). The formula is only applicable for patients with IPF and concomitant emphysema and accordingly was not used to detect the presence or absence of emphysema.
The formula was: predicted emphysema extent = 12.67 + (0.92 x percent predicted forced vital capacity) - (0.65 x percent predicted forced expiratory volume in 1 second) - (0.52 x percent predicted carbon monoxide diffusing capacity). A significant relationship between the formula and observed emphysema extent was found in both cohorts (R
= 0.25, P < 0.0001; R
= 0.47, P < 0.0001, respectively). In both, the formula better predicted observed emphysema extent versus individual pulmonary function tests. A 15% emphysema extent threshold, calculated using the formula, identified a significant difference in absolute changes from baseline in forced vital capacity at Week 48 in patients with baseline-predicted emphysema extent < 15% versus ≥ 15% (P = 0.0105).
The formula, designed for use in patients with IPF and emphysema, demonstrated enhanced ability to predict emphysema extent versus individual pulmonary function tests.
NCT00047645; NCT00075998.</description><subject>Automation</subject><subject>Carbon monoxide</subject><subject>Clinical trial cohort</subject><subject>Clinical trials</subject><subject>Complications and side effects</subject><subject>Computed tomography</subject><subject>Development and progression</subject><subject>Diagnosis</subject><subject>Emphysema</subject><subject>Emphysema, Pulmonary</subject><subject>Fibrosis</subject><subject>Hospitals</subject><subject>Interstitial lung disease</subject><subject>Lung diseases</subject><subject>Patients</subject><subject>Pulmonary fibrosis</subject><subject>Pulmonary function test</subject><subject>Pulmonary functions</subject><subject>Radiology</subject><subject>Real-world cohort</subject><subject>Respiratory function</subject><subject>Risk factors</subject><subject>Tomography</subject><subject>Variables</subject><issn>1465-993X</issn><issn>1465-9921</issn><issn>1465-993X</issn><issn>1465-9921</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptUl1rFDEUHUSxtfoHfJCAL75Mzcfk60mWYmuh4IuCbyGTj90sM8mYzMj235vt1rorEsK93JxzkntzmuYtgpcICfaxICwJaiEmdVMh292z5hx1jLZSkh_Pj_Kz5lUpWwgRF5y-bM6IwERwIc4bvQI-5XEZ9D6CKTsbzBziGrhx2twXN2rgdrOLMwgRmDT2IToLgg1p0vMmGDAtw5iizvfAhz6nEgrQ0f6lv25eeD0U9-YxXjTfrz9_u_rS3n29ub1a3bWGsm5uTUc5x6ynFDvsONPcYw37jmMtPXfY2L6DqO8Ip8QTK7nAXPhOMst8hzUnF83tQdcmvVVTDmN9k0o6qIdCymul8xzM4JTpoHG9xoI5VFMoe4qgt1AQZjmHrmp9OmhNSz86a2r7WQ8noqcnMWzUOv1SCHJJMaRV4cOjQk4_F1dmNYZi3DDo6NJSFJaIU0oYJBX6_h_oNi051llVFKaMQ8yOUGtdOwjRp3qx2YuqVZ0FkhUoK-ryP6i6rBuDSdH5UOsnBHwgmPp1JTv_1CSCau8ydXCZqi5TDy5Tu0p6dzyeJ8ofW5HfRIDNiw</recordid><startdate>20240118</startdate><enddate>20240118</enddate><creator>Wells, Athol U</creator><creator>Jacob, Joseph</creator><creator>Sverzellati, Nicola</creator><creator>Cross, Gary</creator><creator>Barnett, Joseph</creator><creator>De Lauretis, Angelo</creator><creator>Antoniou, Katerina</creator><creator>Weycker, Derek</creator><creator>Atwood, Mark</creator><creator>Kirchgaessler, Klaus-Uwe</creator><creator>Cottin, Vincent</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><general>BMC</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QL</scope><scope>7U7</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20240118</creationdate><title>A formula for predicting emphysema extent in combined idiopathic pulmonary fibrosis and emphysema</title><author>Wells, Athol U ; Jacob, Joseph ; Sverzellati, Nicola ; Cross, Gary ; Barnett, Joseph ; De Lauretis, Angelo ; Antoniou, Katerina ; Weycker, Derek ; Atwood, Mark ; Kirchgaessler, Klaus-Uwe ; Cottin, Vincent</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c564t-c457726b552e2e76a7f2a0b472a9f7e2cdb401b43753f3d978278f496d6f42a73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Automation</topic><topic>Carbon monoxide</topic><topic>Clinical trial cohort</topic><topic>Clinical trials</topic><topic>Complications and side effects</topic><topic>Computed tomography</topic><topic>Development and progression</topic><topic>Diagnosis</topic><topic>Emphysema</topic><topic>Emphysema, Pulmonary</topic><topic>Fibrosis</topic><topic>Hospitals</topic><topic>Interstitial lung disease</topic><topic>Lung diseases</topic><topic>Patients</topic><topic>Pulmonary fibrosis</topic><topic>Pulmonary function test</topic><topic>Pulmonary functions</topic><topic>Radiology</topic><topic>Real-world cohort</topic><topic>Respiratory function</topic><topic>Risk factors</topic><topic>Tomography</topic><topic>Variables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wells, Athol U</creatorcontrib><creatorcontrib>Jacob, Joseph</creatorcontrib><creatorcontrib>Sverzellati, Nicola</creatorcontrib><creatorcontrib>Cross, Gary</creatorcontrib><creatorcontrib>Barnett, Joseph</creatorcontrib><creatorcontrib>De Lauretis, Angelo</creatorcontrib><creatorcontrib>Antoniou, Katerina</creatorcontrib><creatorcontrib>Weycker, Derek</creatorcontrib><creatorcontrib>Atwood, Mark</creatorcontrib><creatorcontrib>Kirchgaessler, Klaus-Uwe</creatorcontrib><creatorcontrib>Cottin, Vincent</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Toxicology Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Respiratory research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wells, Athol U</au><au>Jacob, Joseph</au><au>Sverzellati, Nicola</au><au>Cross, Gary</au><au>Barnett, Joseph</au><au>De Lauretis, Angelo</au><au>Antoniou, Katerina</au><au>Weycker, Derek</au><au>Atwood, Mark</au><au>Kirchgaessler, Klaus-Uwe</au><au>Cottin, Vincent</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A formula for predicting emphysema extent in combined idiopathic pulmonary fibrosis and emphysema</atitle><jtitle>Respiratory research</jtitle><addtitle>Respir Res</addtitle><date>2024-01-18</date><risdate>2024</risdate><volume>25</volume><issue>1</issue><spage>33</spage><epage>33</epage><pages>33-33</pages><artnum>33</artnum><issn>1465-993X</issn><issn>1465-9921</issn><eissn>1465-993X</eissn><eissn>1465-9921</eissn><abstract>No single pulmonary function test captures the functional effect of emphysema in idiopathic pulmonary fibrosis (IPF). Without experienced radiologists, other methods are needed to determine emphysema extent. Here, we report the development and validation of a formula to predict emphysema extent in patients with IPF and emphysema.
The development cohort included 76 patients with combined IPF and emphysema at the Royal Brompton Hospital, London, United Kingdom. The formula was derived using stepwise regression to generate the weighted combination of pulmonary function data that fitted best with emphysema extent on high-resolution computed tomography. Test cohorts included patients from two clinical trials (n = 455 [n = 174 with emphysema]; NCT00047645, NCT00075998) and a real-world cohort from the Royal Brompton Hospital (n = 191 [n = 110 with emphysema]). The formula is only applicable for patients with IPF and concomitant emphysema and accordingly was not used to detect the presence or absence of emphysema.
The formula was: predicted emphysema extent = 12.67 + (0.92 x percent predicted forced vital capacity) - (0.65 x percent predicted forced expiratory volume in 1 second) - (0.52 x percent predicted carbon monoxide diffusing capacity). A significant relationship between the formula and observed emphysema extent was found in both cohorts (R
= 0.25, P < 0.0001; R
= 0.47, P < 0.0001, respectively). In both, the formula better predicted observed emphysema extent versus individual pulmonary function tests. A 15% emphysema extent threshold, calculated using the formula, identified a significant difference in absolute changes from baseline in forced vital capacity at Week 48 in patients with baseline-predicted emphysema extent < 15% versus ≥ 15% (P = 0.0105).
The formula, designed for use in patients with IPF and emphysema, demonstrated enhanced ability to predict emphysema extent versus individual pulmonary function tests.
NCT00047645; NCT00075998.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>38238788</pmid><doi>10.1186/s12931-023-02589-x</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | Respiratory research, 2024-01, Vol.25 (1), p.33-33, Article 33 |
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| subjects | Automation Carbon monoxide Clinical trial cohort Clinical trials Complications and side effects Computed tomography Development and progression Diagnosis Emphysema Emphysema, Pulmonary Fibrosis Hospitals Interstitial lung disease Lung diseases Patients Pulmonary fibrosis Pulmonary function test Pulmonary functions Radiology Real-world cohort Respiratory function Risk factors Tomography Variables |
| title | A formula for predicting emphysema extent in combined idiopathic pulmonary fibrosis and emphysema |
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