Chest Computed Tomography Scores Are Predictive of Survival in Patients with Cystic Fibrosis Awaiting Lung Transplantation

Up to one-third of patients with cystic fibrosis (CF) awaiting lung transplantation (LTX) die while waiting. Inclusion of computed tomography (CT) scores may improve survival prediction models such as the lung allocation score (LAS). This study investigated the association between CT and survival in...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:American journal of respiratory and critical care medicine 2012-05, Vol.185 (10), p.1096-1103
Hauptverfasser: LOEVE, Martine, HOP, WimC J, DE BRUIJNE, Marleen, VAN HAL, Peter T. W, ROBINSON, Phil, AITKEN, Moira L, DODD, Jonathan D, TIDDENS, Harm A. W. M
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 1103
container_issue 10
container_start_page 1096
container_title American journal of respiratory and critical care medicine
container_volume 185
creator LOEVE, Martine
HOP, WimC J
DE BRUIJNE, Marleen
VAN HAL, Peter T. W
ROBINSON, Phil
AITKEN, Moira L
DODD, Jonathan D
TIDDENS, Harm A. W. M
description Up to one-third of patients with cystic fibrosis (CF) awaiting lung transplantation (LTX) die while waiting. Inclusion of computed tomography (CT) scores may improve survival prediction models such as the lung allocation score (LAS). This study investigated the association between CT and survival in patients with CF screened for LTX. Clinical data and chest CTs of 411 patients with CF screened for LTX between 1990 and 2005 were collected from 17 centers. CTs were scored with the Severe Advanced Lung Disease (SALD) four-category scoring system, including the components infection/inflammation (INF), air trapping/hypoperfusion (AT), normal/hyperperfusion (NOR), and bulla/cysts (BUL). The volume of each component was computed using semiautomated software. Survival analysis included Kaplan-Meier curves and Cox regression models. Three hundred and sixty-six (186 males) of 411 patients entered the waiting list (median age, 23 yr; range, 5-58 yr). Subsequently, 67 of 366 (18%) died while waiting, 263 of 366 (72%) underwent LTX, and 36 of 366 (10%) were awaiting LTX at the census date. INF and LAS were significantly associated with waiting list mortality in univariate analyses. The multivariate Cox model including INF and LAS grouped in tertiles, and comparing tertiles 2 and 3 with tertile 1, showed waiting list mortality hazard ratios of 1.62 (95% confidence interval [95% CI], 0.78-3.36; P = 0.19) and 2.65 (95% CI, 1.35-5.20; P = 0.005) for INF, and 1.42 (95% CI, 0.63-3.24; P = 0.40), and 2.32 (95% CI, 1.17-4.60; P = 0.016) for LAS, respectively. These results indicated that INF and LAS had significant, independent predictive value for survival. CT score INF correlates with survival, and adds to the predictive value of LAS.
doi_str_mv 10.1164/rccm.201111-2065OC
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1022559034</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1022559034</sourcerecordid><originalsourceid>FETCH-LOGICAL-c361t-f12707dc798162116a436604cb8262f6db7008569fa300966831ff29cd058c293</originalsourceid><addsrcrecordid>eNpdkUtr3DAUhUVpaR7tH-giCEogG6dXD8vyMpikCQwkkCl0ZzSylFGwLUeSJ0x_fTTMpIVqId3Fdw736CD0jcAlIYL_CFoPlxRIPgUFUd43H9AxKVlZ8LqCj3mGihWc17-P0EmMzwCESgKf0RGlHJgEcoz-NGsTE278MM3JdHjpB_8U1LTe4kftg4n4Khj8EEzndHIbg73Fj3PYuI3qsRvxg0rOjCniV5fWuNnG5DS-cavgo8vaV-WSG5_wYs7XMqgxTr0aUxb58Qv6ZFUfzdfDe4p-3Vwvm9ticf_zrrlaFJoJkgpLaAVVp6taEkFzcMWZEMD1SlJBrehWFYAsRW0VA6iFkIxYS2vdQSk1rdkputj7TsG_zDltO7ioTZ8XMX6OLQFKy7IGxjP6_T_02c9hzNtlinAqqYSdId1TOqeMwdh2Cm5QYZuhdtdMu2um3TfT7pvJorOD9bwaTPdX8l5FBs4PgIpa9TZ_lnbxH1fmjFxw9gaOP5ag</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1014282809</pqid></control><display><type>article</type><title>Chest Computed Tomography Scores Are Predictive of Survival in Patients with Cystic Fibrosis Awaiting Lung Transplantation</title><source>MEDLINE</source><source>American Thoracic Society (ATS) Journals Online</source><source>Alma/SFX Local Collection</source><source>Journals@Ovid Complete</source><source>EZB*</source><creator>LOEVE, Martine ; HOP, WimC J ; DE BRUIJNE, Marleen ; VAN HAL, Peter T. W ; ROBINSON, Phil ; AITKEN, Moira L ; DODD, Jonathan D ; TIDDENS, Harm A. W. M</creator><creatorcontrib>LOEVE, Martine ; HOP, WimC J ; DE BRUIJNE, Marleen ; VAN HAL, Peter T. W ; ROBINSON, Phil ; AITKEN, Moira L ; DODD, Jonathan D ; TIDDENS, Harm A. W. M ; Computed Tomography Cystic Fibrosis Survival Study Group</creatorcontrib><description>Up to one-third of patients with cystic fibrosis (CF) awaiting lung transplantation (LTX) die while waiting. Inclusion of computed tomography (CT) scores may improve survival prediction models such as the lung allocation score (LAS). This study investigated the association between CT and survival in patients with CF screened for LTX. Clinical data and chest CTs of 411 patients with CF screened for LTX between 1990 and 2005 were collected from 17 centers. CTs were scored with the Severe Advanced Lung Disease (SALD) four-category scoring system, including the components infection/inflammation (INF), air trapping/hypoperfusion (AT), normal/hyperperfusion (NOR), and bulla/cysts (BUL). The volume of each component was computed using semiautomated software. Survival analysis included Kaplan-Meier curves and Cox regression models. Three hundred and sixty-six (186 males) of 411 patients entered the waiting list (median age, 23 yr; range, 5-58 yr). Subsequently, 67 of 366 (18%) died while waiting, 263 of 366 (72%) underwent LTX, and 36 of 366 (10%) were awaiting LTX at the census date. INF and LAS were significantly associated with waiting list mortality in univariate analyses. The multivariate Cox model including INF and LAS grouped in tertiles, and comparing tertiles 2 and 3 with tertile 1, showed waiting list mortality hazard ratios of 1.62 (95% confidence interval [95% CI], 0.78-3.36; P = 0.19) and 2.65 (95% CI, 1.35-5.20; P = 0.005) for INF, and 1.42 (95% CI, 0.63-3.24; P = 0.40), and 2.32 (95% CI, 1.17-4.60; P = 0.016) for LAS, respectively. These results indicated that INF and LAS had significant, independent predictive value for survival. CT score INF correlates with survival, and adds to the predictive value of LAS.</description><identifier>ISSN: 1073-449X</identifier><identifier>EISSN: 1535-4970</identifier><identifier>DOI: 10.1164/rccm.201111-2065OC</identifier><identifier>PMID: 22403801</identifier><language>eng</language><publisher>New York, NY: American Thoracic Society</publisher><subject>Adolescent ; Adult ; Anesthesia. Intensive care medicine. Transfusions. Cell therapy and gene therapy ; Biological and medical sciences ; Child ; Child, Preschool ; Cohort Studies ; Cystic fibrosis ; Cystic Fibrosis - diagnostic imaging ; Cystic Fibrosis - mortality ; Cystic Fibrosis - surgery ; Cysts ; Decision Support Techniques ; Female ; Humans ; Intensive care medicine ; Investigative techniques, diagnostic techniques (general aspects) ; Kaplan-Meier Estimate ; Lung diseases ; Lung Transplantation ; Lung transplants ; Male ; Medical sciences ; Middle Aged ; Mortality ; Multivariate Analysis ; Prognosis ; Proportional Hazards Models ; Quality of life ; Radiodiagnosis. Nmr imagery. Nmr spectrometry ; Respiratory system ; Severity of Illness Index ; Software ; Survival analysis ; Tomography ; Tomography, X-Ray Computed ; Waiting Lists - mortality ; Young Adult</subject><ispartof>American journal of respiratory and critical care medicine, 2012-05, Vol.185 (10), p.1096-1103</ispartof><rights>2015 INIST-CNRS</rights><rights>Copyright American Thoracic Society May 15, 2012</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c361t-f12707dc798162116a436604cb8262f6db7008569fa300966831ff29cd058c293</citedby><cites>FETCH-LOGICAL-c361t-f12707dc798162116a436604cb8262f6db7008569fa300966831ff29cd058c293</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,4011,27901,27902</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=25856464$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22403801$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>LOEVE, Martine</creatorcontrib><creatorcontrib>HOP, WimC J</creatorcontrib><creatorcontrib>DE BRUIJNE, Marleen</creatorcontrib><creatorcontrib>VAN HAL, Peter T. W</creatorcontrib><creatorcontrib>ROBINSON, Phil</creatorcontrib><creatorcontrib>AITKEN, Moira L</creatorcontrib><creatorcontrib>DODD, Jonathan D</creatorcontrib><creatorcontrib>TIDDENS, Harm A. W. M</creatorcontrib><creatorcontrib>Computed Tomography Cystic Fibrosis Survival Study Group</creatorcontrib><title>Chest Computed Tomography Scores Are Predictive of Survival in Patients with Cystic Fibrosis Awaiting Lung Transplantation</title><title>American journal of respiratory and critical care medicine</title><addtitle>Am J Respir Crit Care Med</addtitle><description>Up to one-third of patients with cystic fibrosis (CF) awaiting lung transplantation (LTX) die while waiting. Inclusion of computed tomography (CT) scores may improve survival prediction models such as the lung allocation score (LAS). This study investigated the association between CT and survival in patients with CF screened for LTX. Clinical data and chest CTs of 411 patients with CF screened for LTX between 1990 and 2005 were collected from 17 centers. CTs were scored with the Severe Advanced Lung Disease (SALD) four-category scoring system, including the components infection/inflammation (INF), air trapping/hypoperfusion (AT), normal/hyperperfusion (NOR), and bulla/cysts (BUL). The volume of each component was computed using semiautomated software. Survival analysis included Kaplan-Meier curves and Cox regression models. Three hundred and sixty-six (186 males) of 411 patients entered the waiting list (median age, 23 yr; range, 5-58 yr). Subsequently, 67 of 366 (18%) died while waiting, 263 of 366 (72%) underwent LTX, and 36 of 366 (10%) were awaiting LTX at the census date. INF and LAS were significantly associated with waiting list mortality in univariate analyses. The multivariate Cox model including INF and LAS grouped in tertiles, and comparing tertiles 2 and 3 with tertile 1, showed waiting list mortality hazard ratios of 1.62 (95% confidence interval [95% CI], 0.78-3.36; P = 0.19) and 2.65 (95% CI, 1.35-5.20; P = 0.005) for INF, and 1.42 (95% CI, 0.63-3.24; P = 0.40), and 2.32 (95% CI, 1.17-4.60; P = 0.016) for LAS, respectively. These results indicated that INF and LAS had significant, independent predictive value for survival. CT score INF correlates with survival, and adds to the predictive value of LAS.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Anesthesia. Intensive care medicine. Transfusions. Cell therapy and gene therapy</subject><subject>Biological and medical sciences</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Cohort Studies</subject><subject>Cystic fibrosis</subject><subject>Cystic Fibrosis - diagnostic imaging</subject><subject>Cystic Fibrosis - mortality</subject><subject>Cystic Fibrosis - surgery</subject><subject>Cysts</subject><subject>Decision Support Techniques</subject><subject>Female</subject><subject>Humans</subject><subject>Intensive care medicine</subject><subject>Investigative techniques, diagnostic techniques (general aspects)</subject><subject>Kaplan-Meier Estimate</subject><subject>Lung diseases</subject><subject>Lung Transplantation</subject><subject>Lung transplants</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Multivariate Analysis</subject><subject>Prognosis</subject><subject>Proportional Hazards Models</subject><subject>Quality of life</subject><subject>Radiodiagnosis. Nmr imagery. Nmr spectrometry</subject><subject>Respiratory system</subject><subject>Severity of Illness Index</subject><subject>Software</subject><subject>Survival analysis</subject><subject>Tomography</subject><subject>Tomography, X-Ray Computed</subject><subject>Waiting Lists - mortality</subject><subject>Young Adult</subject><issn>1073-449X</issn><issn>1535-4970</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNpdkUtr3DAUhUVpaR7tH-giCEogG6dXD8vyMpikCQwkkCl0ZzSylFGwLUeSJ0x_fTTMpIVqId3Fdw736CD0jcAlIYL_CFoPlxRIPgUFUd43H9AxKVlZ8LqCj3mGihWc17-P0EmMzwCESgKf0RGlHJgEcoz-NGsTE278MM3JdHjpB_8U1LTe4kftg4n4Khj8EEzndHIbg73Fj3PYuI3qsRvxg0rOjCniV5fWuNnG5DS-cavgo8vaV-WSG5_wYs7XMqgxTr0aUxb58Qv6ZFUfzdfDe4p-3Vwvm9ticf_zrrlaFJoJkgpLaAVVp6taEkFzcMWZEMD1SlJBrehWFYAsRW0VA6iFkIxYS2vdQSk1rdkputj7TsG_zDltO7ioTZ8XMX6OLQFKy7IGxjP6_T_02c9hzNtlinAqqYSdId1TOqeMwdh2Cm5QYZuhdtdMu2um3TfT7pvJorOD9bwaTPdX8l5FBs4PgIpa9TZ_lnbxH1fmjFxw9gaOP5ag</recordid><startdate>20120515</startdate><enddate>20120515</enddate><creator>LOEVE, Martine</creator><creator>HOP, WimC J</creator><creator>DE BRUIJNE, Marleen</creator><creator>VAN HAL, Peter T. W</creator><creator>ROBINSON, Phil</creator><creator>AITKEN, Moira L</creator><creator>DODD, Jonathan D</creator><creator>TIDDENS, Harm A. W. M</creator><general>American Thoracic Society</general><scope>IQODW</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>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AN0</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope></search><sort><creationdate>20120515</creationdate><title>Chest Computed Tomography Scores Are Predictive of Survival in Patients with Cystic Fibrosis Awaiting Lung Transplantation</title><author>LOEVE, Martine ; HOP, WimC J ; DE BRUIJNE, Marleen ; VAN HAL, Peter T. W ; ROBINSON, Phil ; AITKEN, Moira L ; DODD, Jonathan D ; TIDDENS, Harm A. W. M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c361t-f12707dc798162116a436604cb8262f6db7008569fa300966831ff29cd058c293</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Anesthesia. Intensive care medicine. Transfusions. Cell therapy and gene therapy</topic><topic>Biological and medical sciences</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Cohort Studies</topic><topic>Cystic fibrosis</topic><topic>Cystic Fibrosis - diagnostic imaging</topic><topic>Cystic Fibrosis - mortality</topic><topic>Cystic Fibrosis - surgery</topic><topic>Cysts</topic><topic>Decision Support Techniques</topic><topic>Female</topic><topic>Humans</topic><topic>Intensive care medicine</topic><topic>Investigative techniques, diagnostic techniques (general aspects)</topic><topic>Kaplan-Meier Estimate</topic><topic>Lung diseases</topic><topic>Lung Transplantation</topic><topic>Lung transplants</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Mortality</topic><topic>Multivariate Analysis</topic><topic>Prognosis</topic><topic>Proportional Hazards Models</topic><topic>Quality of life</topic><topic>Radiodiagnosis. Nmr imagery. Nmr spectrometry</topic><topic>Respiratory system</topic><topic>Severity of Illness Index</topic><topic>Software</topic><topic>Survival analysis</topic><topic>Tomography</topic><topic>Tomography, X-Ray Computed</topic><topic>Waiting Lists - mortality</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>LOEVE, Martine</creatorcontrib><creatorcontrib>HOP, WimC J</creatorcontrib><creatorcontrib>DE BRUIJNE, Marleen</creatorcontrib><creatorcontrib>VAN HAL, Peter T. W</creatorcontrib><creatorcontrib>ROBINSON, Phil</creatorcontrib><creatorcontrib>AITKEN, Moira L</creatorcontrib><creatorcontrib>DODD, Jonathan D</creatorcontrib><creatorcontrib>TIDDENS, Harm A. W. M</creatorcontrib><creatorcontrib>Computed Tomography Cystic Fibrosis Survival Study Group</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Proquest Nursing &amp; Allied Health Source</collection><collection>ProQuest Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest Public Health Database</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 Central UK/Ireland</collection><collection>British Nursing Database</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Nursing &amp; Allied Health Premium</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><jtitle>American journal of respiratory and critical care medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>LOEVE, Martine</au><au>HOP, WimC J</au><au>DE BRUIJNE, Marleen</au><au>VAN HAL, Peter T. W</au><au>ROBINSON, Phil</au><au>AITKEN, Moira L</au><au>DODD, Jonathan D</au><au>TIDDENS, Harm A. W. M</au><aucorp>Computed Tomography Cystic Fibrosis Survival Study Group</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Chest Computed Tomography Scores Are Predictive of Survival in Patients with Cystic Fibrosis Awaiting Lung Transplantation</atitle><jtitle>American journal of respiratory and critical care medicine</jtitle><addtitle>Am J Respir Crit Care Med</addtitle><date>2012-05-15</date><risdate>2012</risdate><volume>185</volume><issue>10</issue><spage>1096</spage><epage>1103</epage><pages>1096-1103</pages><issn>1073-449X</issn><eissn>1535-4970</eissn><abstract>Up to one-third of patients with cystic fibrosis (CF) awaiting lung transplantation (LTX) die while waiting. Inclusion of computed tomography (CT) scores may improve survival prediction models such as the lung allocation score (LAS). This study investigated the association between CT and survival in patients with CF screened for LTX. Clinical data and chest CTs of 411 patients with CF screened for LTX between 1990 and 2005 were collected from 17 centers. CTs were scored with the Severe Advanced Lung Disease (SALD) four-category scoring system, including the components infection/inflammation (INF), air trapping/hypoperfusion (AT), normal/hyperperfusion (NOR), and bulla/cysts (BUL). The volume of each component was computed using semiautomated software. Survival analysis included Kaplan-Meier curves and Cox regression models. Three hundred and sixty-six (186 males) of 411 patients entered the waiting list (median age, 23 yr; range, 5-58 yr). Subsequently, 67 of 366 (18%) died while waiting, 263 of 366 (72%) underwent LTX, and 36 of 366 (10%) were awaiting LTX at the census date. INF and LAS were significantly associated with waiting list mortality in univariate analyses. The multivariate Cox model including INF and LAS grouped in tertiles, and comparing tertiles 2 and 3 with tertile 1, showed waiting list mortality hazard ratios of 1.62 (95% confidence interval [95% CI], 0.78-3.36; P = 0.19) and 2.65 (95% CI, 1.35-5.20; P = 0.005) for INF, and 1.42 (95% CI, 0.63-3.24; P = 0.40), and 2.32 (95% CI, 1.17-4.60; P = 0.016) for LAS, respectively. These results indicated that INF and LAS had significant, independent predictive value for survival. CT score INF correlates with survival, and adds to the predictive value of LAS.</abstract><cop>New York, NY</cop><pub>American Thoracic Society</pub><pmid>22403801</pmid><doi>10.1164/rccm.201111-2065OC</doi><tpages>8</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1073-449X
ispartof American journal of respiratory and critical care medicine, 2012-05, Vol.185 (10), p.1096-1103
issn 1073-449X
1535-4970
language eng
recordid cdi_proquest_miscellaneous_1022559034
source MEDLINE; American Thoracic Society (ATS) Journals Online; Alma/SFX Local Collection; Journals@Ovid Complete; EZB*
subjects Adolescent
Adult
Anesthesia. Intensive care medicine. Transfusions. Cell therapy and gene therapy
Biological and medical sciences
Child
Child, Preschool
Cohort Studies
Cystic fibrosis
Cystic Fibrosis - diagnostic imaging
Cystic Fibrosis - mortality
Cystic Fibrosis - surgery
Cysts
Decision Support Techniques
Female
Humans
Intensive care medicine
Investigative techniques, diagnostic techniques (general aspects)
Kaplan-Meier Estimate
Lung diseases
Lung Transplantation
Lung transplants
Male
Medical sciences
Middle Aged
Mortality
Multivariate Analysis
Prognosis
Proportional Hazards Models
Quality of life
Radiodiagnosis. Nmr imagery. Nmr spectrometry
Respiratory system
Severity of Illness Index
Software
Survival analysis
Tomography
Tomography, X-Ray Computed
Waiting Lists - mortality
Young Adult
title Chest Computed Tomography Scores Are Predictive of Survival in Patients with Cystic Fibrosis Awaiting Lung Transplantation
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-12T03%3A34%3A36IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Chest%20Computed%20Tomography%20Scores%20Are%20Predictive%20of%20Survival%20in%20Patients%20with%20Cystic%20Fibrosis%20Awaiting%20Lung%20Transplantation&rft.jtitle=American%20journal%20of%20respiratory%20and%20critical%20care%20medicine&rft.au=LOEVE,%20Martine&rft.aucorp=Computed%20Tomography%20Cystic%20Fibrosis%20Survival%20Study%20Group&rft.date=2012-05-15&rft.volume=185&rft.issue=10&rft.spage=1096&rft.epage=1103&rft.pages=1096-1103&rft.issn=1073-449X&rft.eissn=1535-4970&rft_id=info:doi/10.1164/rccm.201111-2065OC&rft_dat=%3Cproquest_cross%3E1022559034%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1014282809&rft_id=info:pmid/22403801&rfr_iscdi=true