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预测铂耐药晚期卵巢癌患者 6 个月和 12 个月的死亡率:指导姑息治疗转介的预后模型。

Predicting 6- and 12-Month Risk of Mortality in Patients With Platinum-Resistant Advanced-Stage Ovarian Cancer: Prognostic Model to Guide Palliative Care Referrals.

出版信息

Int J Gynecol Cancer. 2018 Feb;28(2):302-307. doi: 10.1097/IGC.0000000000001182.

Abstract

OBJECTIVE

Predictive models are increasingly being used in clinical practice. The aim of the study was to develop a predictive model to identify patients with platinum-resistant ovarian cancer with a prognosis of less than 6 to 12 months who may benefit from immediate referral to hospice care.

METHODS

A retrospective chart review identified patients with platinum-resistant epithelial ovarian cancer who were treated at our institution between 2000 and 2011. A predictive model for survival was constructed based on the time from development of platinum resistance to death. Multivariate logistic regression modeling was used to identify significant survival predictors and to develop a predictive model. The following variables were included: time from diagnosis to platinum resistance, initial stage, debulking status, number of relapses, comorbidity score, albumin, hemoglobin, CA-125 levels, liver/lung metastasis, and the presence of a significant clinical event (SCE). An SCE was defined as a malignant bowel obstruction, pleural effusion, or ascites occurring on or before the diagnosis of platinum resistance.

RESULTS

One hundred sixty-four patients met inclusion criteria. In the regression analysis, only an SCE and the presence of liver or lung metastasis were associated with poorer short-term survival (P < 0.001). Nine percent of patients with an SCE or liver or lung metastasis survived 6 months or greater and 0% survived 12 months or greater, compared with 85% and 67% of patients without an SCE or liver or lung metastasis, respectively.

CONCLUSIONS

Patients with platinum-resistant ovarian cancer who have experienced an SCE or liver or lung metastasis have a high risk of death within 6 months and should be considered for immediate referral to hospice care.

摘要

目的

预测模型越来越多地应用于临床实践。本研究旨在建立一个预测模型,以识别出那些患有铂耐药性卵巢癌、预计生存期少于 6 至 12 个月且可能受益于立即转介至临终关怀的患者。

方法

回顾性病历分析确定了 2000 年至 2011 年期间在本机构接受治疗的铂耐药性上皮性卵巢癌患者。基于从铂耐药性发展到死亡的时间,构建了一个生存预测模型。多变量逻辑回归建模用于确定显著的生存预测因素并开发预测模型。纳入的变量包括:从诊断到铂耐药性的时间、初始分期、减瘤状态、复发次数、合并症评分、白蛋白、血红蛋白、CA-125 水平、肝/肺转移以及是否存在显著临床事件(SCE)。SCE 定义为在铂耐药性诊断之前或之时发生的恶性肠梗阻、胸腔积液或腹水。

结果

164 例患者符合纳入标准。在回归分析中,只有 SCE 和肝或肺转移与短期生存较差相关(P < 0.001)。9%的发生 SCE 或肝或肺转移的患者存活 6 个月或以上,而 0%的患者存活 12 个月或以上,相比之下,没有 SCE 或肝或肺转移的患者分别有 85%和 67%存活 6 个月或以上。

结论

经历 SCE 或肝或肺转移的铂耐药性卵巢癌患者在 6 个月内死亡风险较高,应考虑立即转介至临终关怀。

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