de Miguel Sánchez Cristina, Elustondo Sofía Garrido, Estirado Alicia, Sánchez Fernando Vicente, de la Rasilla Cooper Cristina García, Romero Andrés López, Otero Angel, Olmos Luis García
Home Care Support Team (C.M.S., F.V.S.), Madrid's Area 7, Spain.
J Pain Symptom Manage. 2006 Jun;31(6):485-92. doi: 10.1016/j.jpainsymman.2005.10.007.
To determine which symptoms, signs, and characteristics that define the patient's functional status predict the survival time in terminally ill cancer patients, a prospective longitudinal study was conducted with terminally ill cancer patients followed by a Home Care Support Team. Patients were followed up with at least weekly visits until death, collecting variables at each visit. A Cox multivariate regression analysis took into account all the follow-ups in the same patient. Ninety-eight patients were studied, and 250 evaluations were done. The mean age was 72 years. The median survival was 32 days. In the multivariate analysis, three independent variables were identified: Palliative Performance Score of 50 or under, heart rate of 100/minute or more, and respiratory rate of 24/minute or more. The variables that were found to be prognostic in our study are objective, easy, and quick to measure, and do not require that the professional have special training or experience. The prediction of survival time may be improved by considering these variables.
为了确定哪些定义患者功能状态的症状、体征和特征能够预测晚期癌症患者的生存时间,我们对由家庭护理支持团队随访的晚期癌症患者进行了一项前瞻性纵向研究。对患者至少每周随访一次直至死亡,每次随访时收集变量。Cox多变量回归分析考虑了同一患者的所有随访情况。共研究了98例患者,进行了250次评估。平均年龄为72岁。中位生存期为32天。在多变量分析中,确定了三个独立变量:姑息治疗表现评分50分及以下、心率100次/分钟及以上、呼吸频率24次/分钟及以上。我们研究中发现的具有预后意义的变量客观、易于且快速测量,并且不需要专业人员具备特殊培训或经验。考虑这些变量可能会改善生存时间的预测。