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dc.contributor.authorVagnildhaug, Ola Magne
dc.contributor.authorBrunelli, Cinzia
dc.contributor.authorHjermstad, Marianne J.
dc.contributor.authorStrasser, Florian
dc.contributor.authorBaracos, Vickie
dc.contributor.authorWilcock, Andrew
dc.contributor.authorNabal Vicuña, Maria
dc.contributor.authorKaasa, Stein
dc.contributor.authorLaird, Barry
dc.contributor.authorSolheim, Tora S.
dc.date.accessioned2020-02-25T10:37:52Z
dc.date.available2020-02-25T10:37:52Z
dc.date.issued2019
dc.identifier.issn1472-684X
dc.identifier.urihttp://hdl.handle.net/10459.1/68090
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.ca_ES
dc.language.isoengca_ES
dc.publisherBioMed Centralca_ES
dc.relation.isformatofReproducció del document publicat a https://doi.org/10.1186/s12904-019-0429-2ca_ES
dc.relation.ispartofBMC Palliative Care, 2019, vol. 18, núm. 46ca_ES
dc.rightscc-by (c) Vagnildhaug et al., 2019ca_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectCachexiaca_ES
dc.subjectPre-cachexiaca_ES
dc.subjectWeight lossca_ES
dc.subjectCancerca_ES
dc.subjectPalliative careca_ES
dc.titleA prospective study examining cachexia predictors in patients with incurable cancerca_ES
dc.typeinfo:eu-repo/semantics/articleca_ES
dc.identifier.idgrec029676
dc.type.versioninfo:eu-repo/semantics/publishedVersionca_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_ES
dc.identifier.doihttps://doi.org/10.1186/s12904-019-0429-2


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cc-by (c) Vagnildhaug et al., 2019
Except where otherwise noted, this item's license is described as cc-by (c) Vagnildhaug et al., 2019