FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4285087646> ?p ?o ?g. }

• W4285087646 endingPage "2002" @default.
• W4285087646 startingPage "1993" @default.
• W4285087646 abstract "Rationale: Chronic obstructive pulmonary disease (COPD) is a heterogeneous syndrome with phenotypic manifestations that tend to be distributed along a continuum. Unsupervised machine learning based on broad selection of imaging and clinical phenotypes may be used to identify primary variables that define disease axes and stratify patients with COPD. Objectives: To identify primary variables driving COPD heterogeneity using principal component analysis and to define disease axes and assess the prognostic value of these axes across three outcomes: progression, exacerbation, and mortality. Methods: We included 7,331 patients between 39 and 85 years old, of whom 40.3% were Black and 45.8% were female smokers with a mean of 44.6 pack-years, from the COPDGene (Genetic Epidemiology of COPD) phase I cohort (2008-2011) in our analysis. Out of a total of 916 phenotypes, 147 continuous clinical, spirometric, and computed tomography (CT) features were selected. For each principal component (PC), we computed a PC score based on feature weights. We used PC score distributions to define disease axes along which we divided the patients into quartiles. To assess the prognostic value of these axes, we applied logistic regression analyses to estimate 5-year (n = 4,159) and 10-year (n = 1,487) odds of progression. Cox regression and Kaplan-Meier analyses were performed to estimate 5-year and 10-year risk of exacerbation (n = 6,532) and all-cause mortality (n = 7,331). Results: The first PC, accounting for 43.7% of variance, was defined by CT measures of air trapping and emphysema. The second PC, accounting for 13.7% of variance, was defined by spirometric and CT measures of vital capacity and lung volume. The third PC, accounting for 7.9% of the variance, was defined by CT measures of lung mass, airway thickening, and body habitus. Stratification of patients across each disease axis revealed up to 3.2-fold (95% confidence interval [CI] 2.4, 4.3) greater odds of 5-year progression, 5.4-fold (95% CI 4.6, 6.3) greater risk of 5-year exacerbation, and 5.0-fold (95% CI 4.2, 6.0) greater risk of 10-year mortality between the highest and lowest quartiles. Conclusions: Unsupervised learning analysis of the COPDGene cohort reveals that CT measurements may bolster patient stratification along the continuum of COPD phenotypes. Each of the disease axes also individually demonstrate prognostic potential, predictive of future forced expiratory volume in 1 second decline, exacerbation, and mortality." @default.
• W4285087646 created "2022-07-14" @default.
• W4285087646 creator A5021079465 @default.
• W4285087646 creator A5023897162 @default.
• W4285087646 creator A5025843483 @default.
• W4285087646 creator A5049259784 @default.
• W4285087646 creator A5081092742 @default.
• W4285087646 creator A5084967705 @default.
• W4285087646 date "2022-12-01" @default.
• W4285087646 modified "2023-10-03" @default.
• W4285087646 title "Unsupervised Learning Identifies Computed Tomographic Measurements as Primary Drivers of Progression, Exacerbation, and Mortality in Chronic Obstructive Pulmonary Disease" @default.
• W4285087646 cites W1973597670 @default.
• W4285087646 cites W1998354318 @default.
• W4285087646 cites W2020707691 @default.
• W4285087646 cites W2036278969 @default.
• W4285087646 cites W2066721282 @default.
• W4285087646 cites W2069079702 @default.
• W4285087646 cites W2082907106 @default.
• W4285087646 cites W2103647821 @default.
• W4285087646 cites W2109676782 @default.
• W4285087646 cites W2120562691 @default.
• W4285087646 cites W2127951128 @default.
• W4285087646 cites W2132826329 @default.
• W4285087646 cites W2140357849 @default.
• W4285087646 cites W2141478764 @default.
• W4285087646 cites W2148122066 @default.
• W4285087646 cites W2149794720 @default.
• W4285087646 cites W2162132432 @default.
• W4285087646 cites W2257628484 @default.
• W4285087646 cites W2642176179 @default.
• W4285087646 cites W2754103191 @default.
• W4285087646 cites W2760238280 @default.
• W4285087646 cites W2766815401 @default.
• W4285087646 cites W2800690014 @default.
• W4285087646 cites W2803431257 @default.
• W4285087646 cites W2804748681 @default.
• W4285087646 cites W2951964091 @default.
• W4285087646 cites W2998687433 @default.
• W4285087646 cites W3020235507 @default.
• W4285087646 cites W3023340082 @default.
• W4285087646 cites W3147063269 @default.
• W4285087646 doi "https://doi.org/10.1513/annalsats.202110-1127oc" @default.
• W4285087646 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35830591" @default.
• W4285087646 hasPublicationYear "2022" @default.
• W4285087646 type Work @default.
• W4285087646 citedByCount "1" @default.
• W4285087646 countsByYear W42850876462023 @default.
• W4285087646 crossrefType "journal-article" @default.
• W4285087646 hasAuthorship W4285087646A5021079465 @default.
• W4285087646 hasAuthorship W4285087646A5023897162 @default.
• W4285087646 hasAuthorship W4285087646A5025843483 @default.
• W4285087646 hasAuthorship W4285087646A5049259784 @default.
• W4285087646 hasAuthorship W4285087646A5081092742 @default.
• W4285087646 hasAuthorship W4285087646A5084967705 @default.
• W4285087646 hasConcept C126322002 @default.
• W4285087646 hasConcept C126838900 @default.
• W4285087646 hasConcept C151956035 @default.
• W4285087646 hasConcept C2776780178 @default.
• W4285087646 hasConcept C2777014857 @default.
• W4285087646 hasConcept C2779134260 @default.
• W4285087646 hasConcept C44249647 @default.
• W4285087646 hasConcept C50382708 @default.
• W4285087646 hasConcept C68443243 @default.
• W4285087646 hasConcept C71924100 @default.
• W4285087646 hasConcept C72563966 @default.
• W4285087646 hasConceptScore W4285087646C126322002 @default.
• W4285087646 hasConceptScore W4285087646C126838900 @default.
• W4285087646 hasConceptScore W4285087646C151956035 @default.
• W4285087646 hasConceptScore W4285087646C2776780178 @default.
• W4285087646 hasConceptScore W4285087646C2777014857 @default.
• W4285087646 hasConceptScore W4285087646C2779134260 @default.
• W4285087646 hasConceptScore W4285087646C44249647 @default.
• W4285087646 hasConceptScore W4285087646C50382708 @default.
• W4285087646 hasConceptScore W4285087646C68443243 @default.
• W4285087646 hasConceptScore W4285087646C71924100 @default.
• W4285087646 hasConceptScore W4285087646C72563966 @default.
• W4285087646 hasIssue "12" @default.
• W4285087646 hasLocation W42850876461 @default.
• W4285087646 hasLocation W42850876462 @default.
• W4285087646 hasOpenAccess W4285087646 @default.
• W4285087646 hasPrimaryLocation W42850876461 @default.
• W4285087646 hasRelatedWork W1534309100 @default.
• W4285087646 hasRelatedWork W2016454610 @default.
• W4285087646 hasRelatedWork W2069826751 @default.
• W4285087646 hasRelatedWork W2168449172 @default.
• W4285087646 hasRelatedWork W2413531698 @default.
• W4285087646 hasRelatedWork W2551581194 @default.
• W4285087646 hasRelatedWork W2554469774 @default.
• W4285087646 hasRelatedWork W2779821228 @default.
• W4285087646 hasRelatedWork W2942922422 @default.
• W4285087646 hasRelatedWork W2151395709 @default.
• W4285087646 hasVolume "19" @default.
• W4285087646 isParatext "false" @default.
• W4285087646 isRetracted "false" @default.
• W4285087646 workType "article" @default.