Factors influencing survival time of advanced cancer patients who received palliative care

顾筱莉; 成文武

doi:10.3969/j.issn.1007-3969.2013.09.011

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Factors influencing survival time of advanced cancer patients who received palliative care

更新时间：2025-12-31

- Factors influencing survival time of advanced cancer patients who received palliative care
- China Oncology Vol. 23, Issue 9, Pages: 759-764(2013)
- 作者机构：
  
  复旦大学附属肿瘤医院综合治疗科，复旦大学上海医学院肿瘤学系,上海,200032
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1007-3969.2013.09.011
  CLC：
- Published Online：20 February 2014，
  
  Published：2013
- 稿件说明：
移动端阅览
顾筱莉,成文武. 晚期恶性肿瘤患者生存期影响因素的相关性分析[J]. 中国癌症杂志, 2013, 23(9): 759-764.

顾筱莉, 成文武. Factors influencing survival time of advanced cancer patients who received palliative care[J]. China Oncology, 2013, 23(9): 759-764.
顾筱莉,成文武. 晚期恶性肿瘤患者生存期影响因素的相关性分析[J]. 中国癌症杂志, 2013, 23(9): 759-764. DOI： 10.3969/j.issn.1007-3969.2013.09.011.

顾筱莉, 成文武. Factors influencing survival time of advanced cancer patients who received palliative care[J]. China Oncology, 2013, 23(9): 759-764. DOI： 10.3969/j.issn.1007-3969.2013.09.011.

摘要

背景与目的：晚期恶性肿瘤的预后判断在肿瘤治疗领域中非常重要，预后判断准确可以帮助临床医师选择相关的治疗。本研究旨在探讨接受姑息治疗的晚期恶性肿瘤患者的生存期相关影响因素，以期更好的指导临床。方法：回顾性分析2007年3月—2012年3月复旦大学附属肿瘤医院姑息治疗科271例死亡患者临床资料。应用Kaplan-Meier计算生存期，Log-rank检验差异性，并行Cox模型多因素分析，建立预后指数方程。结果：单因素分析显示7个相关预后因素为：卡氏评分(P0.001)、呼吸困难(P=0.037)、瞻望(P=0.015)、外周血白细胞计数11×109/L(P=0.012)、淋巴细胞比例12%(P=0.030)、乳酸脱氢酶500 U/L(P0.001)、血清白蛋白30 g/L(P=0.001)。其中卡式评分30、乳酸脱氢酶500 U/L、血清白蛋白30 g/L、瞻望为4个独立预后因素。结论：本研究揭示了晚期恶性肿瘤患者的生存期预后相关因素，有利于临床更准确地预测患者的生存期，并提供相关治疗。

Abstract

Background and purpose: How to predict the survival length for terminally cancer patients is very important

it will help families and physicians to make decisions. This study aimed to reveal the factors related to the survival time of terminally ill cancer patients who received palliative care in our hospital. Methods: The clinical data of 271 dead patients treated in the Department of Palliative Care

Fudan University Shanghai Cancer Center from Mar. 2007 to Mar. 2012 were analyzed. The Kaplan-Meier method and the log-rank test were used to determine the corresponding factors with survival. Cox regression model was used to examine the independent prognostic factors. Different survival length of groups divided by different prognostic indexes was compared by log-rank test. Results: Seven factors were found to be related with the survival according to univariate analysis. The related factors were Karnofsky performance score (P0.001)

dyspnea (P=0.037)

delirium (P=0.015)

high white blood cell count (P=0.012)

low lymphocyte percentage (P=0.030)

high lactate dehydrogenase (P0.001) and low serum albumin (P=0.001). The multivariate analysis selected four independent factors: Karnofsky performance score30

high lactate dehydrogenase

low serum albumin and delirium.Conclusion: The study shows the clinical survival prognostics with Chinese characteristics. The combination of the seven factors may be useful but more studies in this area deserve further investigated.

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