GOALS OF WORK: Although the EuroQol (EQ-5D) is widely used for economic evaluation, it remains unclear whether it can be combined with medical data to predict survival in patients with terminal cancer. PATIENTS AND METHODS: We carried out this prospective study on 142 terminal cancer patients in four hospice-palliative care units. Association was sought between survival time and a range of variables such as cancer site, performance, previous treatment, age, sex, pain, and EuroQol. The EQ-5D was transformed into the corresponding EQ-5D utility. For univariate analysis, we estimated differences in survival with the Gehan generalized Wilcoxon test. For those variables that were significant, we performed multivariate analysis using the Cox proportional hazard model. MAIN RESULTS: Univariate analysis showed that sex, age, performance, previous use of chemotherapy, and the EQ-5D utility provided statistically significant prognostic survival information. The median survival time was 13.0 days for the group with an EQ-5D utility score lower than -0.5 and 21.0 days for the group with an EQ-5D utility score above -0.5. In multivariate analysis with the Cox proportional hazard model, an EQ-5D utility score < or = 0.5 (RR 1.57, 95% confidence interval 1.06-2.33) was an independent negative predictor of survival. CONCLUSIONS: The EQ-5D quality-of-life assessment tool might be useful for predicting survival time for terminal cancer patients.
GOALS OF WORK: Although the EuroQol (EQ-5D) is widely used for economic evaluation, it remains unclear whether it can be combined with medical data to predict survival in patients with terminal cancer. PATIENTS AND METHODS: We carried out this prospective study on 142 terminal cancerpatients in four hospice-palliative care units. Association was sought between survival time and a range of variables such as cancer site, performance, previous treatment, age, sex, pain, and EuroQol. The EQ-5D was transformed into the corresponding EQ-5D utility. For univariate analysis, we estimated differences in survival with the Gehan generalized Wilcoxon test. For those variables that were significant, we performed multivariate analysis using the Cox proportional hazard model. MAIN RESULTS: Univariate analysis showed that sex, age, performance, previous use of chemotherapy, and the EQ-5D utility provided statistically significant prognostic survival information. The median survival time was 13.0 days for the group with an EQ-5D utility score lower than -0.5 and 21.0 days for the group with an EQ-5D utility score above -0.5. In multivariate analysis with the Cox proportional hazard model, an EQ-5D utility score < or = 0.5 (RR 1.57, 95% confidence interval 1.06-2.33) was an independent negative predictor of survival. CONCLUSIONS: The EQ-5D quality-of-life assessment tool might be useful for predicting survival time for terminal cancerpatients.
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Authors: So Yeon Oh; Sang Won Shin; Su-Jin Koh; Sang Byung Bae; Hyun Chang; Jung Han Kim; Hyo Jung Kim; Young Seon Hong; Keon Uk Park; Jeanno Park; Kyung Hee Lee; Na Ri Lee; Jung Lim Lee; Joung Soon Jang; Dae Sik Hong; Seung-Sei Lee; Sun Kyung Baek; Dae Ro Choi; Jooseop Chung; Sang Cheul Oh; Hye Sook Han; Hwan Jung Yun; Sun Jin Sym; So Young Yoon; In Sil Choi; Byoung Yong Shim; Seok Yun Kang; Sung Rok Kim; Hyun Joo Kim Journal: Support Care Cancer Date: 2017-07-08 Impact factor: 3.603