Hide metadata

dc.contributor.authorVagnildhaug, Ola M
dc.contributor.authorBrunelli, Cinzia
dc.contributor.authorHjermstad, Marianne J
dc.contributor.authorStrasser, Florian
dc.contributor.authorBaracos, Vickie
dc.contributor.authorWilcock, Andrew
dc.contributor.authorNabal, Maria
dc.contributor.authorKaasa, Stein
dc.contributor.authorLaird, Barry
dc.contributor.authorSolheim, Tora S
dc.date.accessioned2019-06-11T05:02:14Z
dc.date.available2019-06-11T05:02:14Z
dc.date.issued2019
dc.identifier.citationBMC Palliative Care. 2019 Jun 04;18(1):46
dc.identifier.urihttp://hdl.handle.net/10852/68279
dc.description.abstractBackground Early intervention against cachexia necessitates a predictive model. The aims of this study were to identify predictors of cachexia development and to create and evaluate accuracy of a predictive model based on these predictors. Methods A secondary analysis of a prospective, observational, multicentre study was conducted. Patients, who attended a palliative care programme, had incurable cancer and did not have cachexia at baseline, were amenable to the analysis. Cachexia was defined as weight loss (WL) > 5% (6 months) or WL > 2% and body mass index< 20 kg/m2. Clinical and demographic markers were evaluated as possible predictors with Cox analysis. A classification and regression tree analysis was used to create a model based on optimal combinations and cut-offs of significant predictors for cachexia development, and accuracy was evaluated with a calibration plot, Harrell’s c-statistic and receiver operating characteristic curve analysis. Results Six-hundred-twenty-eight patients were included in the analysis. Median age was 65 years (IQR 17), 359(57%) were female and median Karnofsky performance status was 70(IQR 10). Median follow-up was 109 days (IQR 108), and 159 (25%) patients developed cachexia. Initial WL, cancer type, appetite and chronic obstructive pulmonary disease were significant predictors (p ≤ 0.04). A five-level model was created with each level carrying an increasing risk of cachexia development. For Risk-level 1-patients (WL < 3%, breast or hematologic cancer and no or little appetite loss), median time to cachexia development was not reached, while Risk-level 5-patients (WL 3–5%) had a median time to cachexia development of 51 days. Accuracy of cachexia predictions at 3 months was 76%. Conclusion Important predictors of cachexia have been identified and used to construct a predictive model of cancer cachexia. Trial registration ClinicalTrials.gov Identifier: NCT01362816 .
dc.language.isoeng
dc.rightsThe Author(s).
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleA prospective study examining cachexia predictors in patients with incurable cancer
dc.typeJournal article
dc.date.updated2019-06-11T05:02:15Z
dc.creator.authorVagnildhaug, Ola M
dc.creator.authorBrunelli, Cinzia
dc.creator.authorHjermstad, Marianne J
dc.creator.authorStrasser, Florian
dc.creator.authorBaracos, Vickie
dc.creator.authorWilcock, Andrew
dc.creator.authorNabal, Maria
dc.creator.authorKaasa, Stein
dc.creator.authorLaird, Barry
dc.creator.authorSolheim, Tora S
dc.identifier.doihttps://doi.org/10.1186/s12904-019-0429-2
dc.identifier.urnURN:NBN:no-71434
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/68279/1/12904_2019_Article_429.pdf
dc.type.versionPublishedVersion
cristin.articleid46


Files in this item

Appears in the following Collection

Hide metadata

Attribution 4.0 International
This item's license is: Attribution 4.0 International