A prospective study examining cachexia predictors in patients with incurable cancer

Article indépendant

MAGNE VAGNILDHAUG, Ola Magne | BRUNELLI, Cinzia | HJERMSTAD, Marianne J. | STRASSER, Florian | BARACOS, Vickie | WILCOCK, Andrew | NABAL, Maria | KAASA, Stein | LAIRD, Barry | SOLHEIM, Tora S.

BACKGROUND: 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% (6months) or WL>2% and body mass index<20kg/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 .

http://dx.doi.org/10.1186/s12904-019-0429-2

Voir la revue «BMC palliative care, 18»

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