Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/35162
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dc.contributor.authorKutaiba, Numan-
dc.contributor.authorDobson, Julie E-
dc.contributor.authorFinnis, Mark-
dc.contributor.authorBellomo, Rinaldo-
dc.date2024-
dc.date.accessioned2024-03-27T05:08:58Z-
dc.date.available2024-03-27T05:08:58Z-
dc.date.issued2024-03-
dc.identifier.citationJournal of Frailty, Sarcopenia and Falls 2024-03; 9(1)en_US
dc.identifier.issn2459-4148-
dc.identifier.urihttps://ahro.austin.org.au/austinjspui/handle/1/35162-
dc.description.abstractThe most efficient way to adjust skeletal muscle area (SMA) derived from chest CT to body size remains unclear. We hypothesized that vertebral body area (VBA) measurement would allow such efficient adjustment. We conducted a retrospective observational study of chest CT imaging in a cohort of critically ill COVID-19 patients. We measured paravertebral SMA at T5 level and T5 vertebral body anteroposterior length, width, and area. We used linear regression and multivariable modelling to assess the association of VBA with SMA. In 48 COVID-19 patients in ICU, T5 VBA could be easily derived from simple width and anteroposterior length linear measurements. T5 VBA (measured manually or estimated from width and length) performed similarly to height (R2 of 0.22) as an adjustment variable for SMA, with R2 of 0.23 and 0.22, respectively. Gender had the strongest correlation with SMA (R2 = 0.28). Adding height or age to a model using gender and VBA did not improve correlation. Gender and estimated VBA from simple linear measurements at T5 level on CT images can be utilized for adjustment of SMA without the need for height. Validation of these findings in larger cohorts of critically ill patients is now needed.en_US
dc.language.isoeng-
dc.subjectChest computed tomographyen_US
dc.subjectSarcopeniaen_US
dc.subjectSkeletal muscle areaen_US
dc.titleThe identification of an optimal body size parameter to adjust skeletal muscle area on chest CT in COVID-19 patients.en_US
dc.typeJournal Articleen_US
dc.identifier.journaltitleJournal of Frailty, Sarcopenia and Fallsen_US
dc.identifier.affiliationDepartment of Radiology, The University of Melbourne, Parkville, Victoria, Australia.en_US
dc.identifier.affiliationRadiologyen_US
dc.identifier.affiliationAustralian and New Zealand Intensive Care Research Centre, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.;Melbourne Medical School, The University of Melbourne, Parkville, Victoria, Australia.;Melbourne Medical School, The University of Melbourne, Parkville, Victoria, Australia.en_US
dc.identifier.affiliationDepartment of Critical Care, The University of Melbourne, Parkville, Victoria, Australia.;Department of Intensive Care, Austin Hospital, Heidelberg, Victoria, Australia.;Data Analytics Research and Evaluation Centre, Austin Hospital, Melbourne, Australia.;Department of Critical Care, Royal Melbourne Hospital, Melbourne, Australia.en_US
dc.identifier.doi10.22540/JFSF-09-016en_US
dc.type.contentTexten_US
dc.identifier.pubmedid38444548-
dc.description.volume9-
dc.description.issue1-
dc.description.startpage16-
dc.description.endpage24-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.openairetypeJournal Article-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.deptRadiology-
crisitem.author.deptRadiology-
crisitem.author.deptIntensive Care-
crisitem.author.deptData Analytics Research and Evaluation (DARE) Centre-
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