Nathan Saminathan S, Healey John H, Mellano Danilo, Hoang Bang, Lewis Isobel, Morris Carol D, Athanasian Edward A, Boland Patrick J
Department of Surgery, Memorial Sloan-Kettering Cancer Center, 1275 York Ave, New York, NY 10021, USA.
J Clin Oncol. 2005 Sep 1;23(25):6072-82. doi: 10.1200/JCO.2005.08.104.
Life expectancy is routinely used as part of the decision-making process in deciding the value of surgery for the treatment of bone metastases. We sought to investigate the validity of frequently used indices in the prognostication of survival in patients with metastatic bone disease.
The study prospectively assessed 191 patients who underwent surgery for metastatic bone disease. Diagnostic, staging, nutritional, and hematologic parameters cited to be related to life expectancy were evaluated. Preoperatively, the surgeon recorded an estimate of projected life expectancy for each patient. The time until death was recorded.
Kaplan-Meier survival analyses indicated that the survival estimate, primary diagnosis, use of systemic therapy, Eastern Cooperative Oncology Group (ECOG) performance status, number of bone metastases, presence of visceral metastases, and serum hemoglobin, albumin, and lymphocyte counts were significant for predicting survival (P < .004). Cox regression analysis indicated that the independently significant predictors of survival were diagnosis (P < .006), ECOG performance status (P < .04), number of bone metastases (P < .008), presence of visceral metastases (P < .03), hemoglobin count (P < .009), and survival estimate (P < .00005). Diagnosis, ECOG performance status, and visceral metastases covaried with surgeon survival estimate. Linear regression and receiver-operator characteristic assessment confirmed that clinician estimation was the most accurate predictor of survival, followed by hemoglobin count, number of visceral metastases, ECOG performance status, primary diagnosis, and number of bone metastases. Nevertheless, survival estimate was accurate in predicting actual survival in only 33 (18%) of 181 patients.
A better means of prognostication is needed. In this article, we present a sliding scale for this purpose.
预期寿命通常被用作决策过程的一部分,以确定手术治疗骨转移瘤的价值。我们试图研究常用指标在转移性骨病患者生存预后评估中的有效性。
本研究前瞻性评估了191例行转移性骨病手术的患者。对被认为与预期寿命相关的诊断、分期、营养和血液学参数进行了评估。术前,外科医生记录了每位患者的预期寿命估计值。记录直至死亡的时间。
Kaplan-Meier生存分析表明,生存估计值、原发诊断、全身治疗的使用、东部肿瘤协作组(ECOG)体能状态、骨转移灶数量、内脏转移的存在以及血清血红蛋白、白蛋白和淋巴细胞计数对预测生存具有显著意义(P < 0.004)。Cox回归分析表明,生存的独立显著预测因素为诊断(P < 0.006)、ECOG体能状态(P < 0.04)、骨转移灶数量(P < 0.008)、内脏转移的存在(P < 0.03)、血红蛋白计数(P < 0.009)和生存估计值(P < 0.00005)。诊断、ECOG体能状态和内脏转移与外科医生的生存估计值相关。线性回归和受试者工作特征评估证实,临床医生的估计是生存的最准确预测因素,其次是血红蛋白计数、内脏转移灶数量、ECOG体能状态、原发诊断和骨转移灶数量。然而,在181例患者中,只有33例(18%)的生存估计值能准确预测实际生存情况。
需要一种更好的预后评估方法。在本文中,我们为此提出了一个滑动量表。