Teunissen Saskia C, de Graeff Alexander, de Haes Hanneke C, Voest Emile E
Department of Medical Oncology, University Medical Centre, F02.126, P.O. Box 85500, 3508 GA Utrecht, The Netherlands.
Eur J Cancer. 2006 Oct;42(15):2510-6. doi: 10.1016/j.ejca.2006.05.025. Epub 2006 Sep 7.
To assess the prognostic value of symptoms in hospitalised advanced cancer patients.
A prospective analysis was performed of 181 hospitalised patients referred to a Palliative Care Team. Comprehensive symptom questionnaire, functional status, estimated life expectancy and survival were assessed. Using a Cox regression model, a predictive survival model was built.
Median survival: 53 d. Median number of symptoms: 4; 20 symptoms occurred in 10%. Multivariate analysis showed nausea, dysphagia, dyspnoea, confusion and absence of depressed mood as independent prognostic factors for survival (p<0.05) with relative risks of dying of 1.96, 1.81, 1.79, 2.35 and 1.79, respectively. Patients with 2, 3 or 4 of these factors at the same time had a relative risk of dying of 2.7, 2.1 and 9.0, respectively.
A cluster of factors comprising nausea, dysphagia, dyspnoea, confusion and absence of depressed mood may be used to accurately predict survival in hospitalised advanced cancer patients.
评估住院晚期癌症患者症状的预后价值。
对转至姑息治疗团队的181例住院患者进行前瞻性分析。评估综合症状问卷、功能状态、估计预期寿命和生存率。使用Cox回归模型构建预测生存模型。
中位生存期:53天。中位症状数:4个;10%的患者出现20种症状。多变量分析显示,恶心、吞咽困难、呼吸困难、意识模糊和无抑郁情绪是生存的独立预后因素(p<0.05),死亡相对风险分别为1.96、1.81、1.79、2.35和1.79。同时存在2个、3个或4个这些因素的患者死亡相对风险分别为2.7、2.1和9.0。
包括恶心、吞咽困难、呼吸困难、意识模糊和无抑郁情绪在内的一组因素可用于准确预测住院晚期癌症患者的生存情况。