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一种用于预测肝细胞癌患者生存率的新预后分类。肝细胞癌研究与治疗小组。

A new prognostic classification for predicting survival in patients with hepatocellular carcinoma. Groupe d'Etude et de Traitement du Carcinome Hépatocellulaire.

作者信息

Chevret S, Trinchet J C, Mathieu D, Rached A A, Beaugrand M, Chastang C

机构信息

Département de Biostatistique et Informatique Médicale, Hôpital Saint-Louis, Paris, France.

出版信息

J Hepatol. 1999 Jul;31(1):133-41. doi: 10.1016/s0168-8278(99)80173-1.

DOI:10.1016/s0168-8278(99)80173-1
PMID:10424293
Abstract

BACKGROUND/AIMS: In patients with hepatocellular carcinoma, prediction of survival is difficult. The aim of this prospective study was to provide a simple classification for predicting survival of patients with hepatocellular carcinoma, based on a multivariable Cox model.

METHODS

Seven hundred and sixty-one patients who presented with hepatocellular carcinoma from 24 Western medical centers were enrolled over a 30-month period. Patients were randomly assigned to either a training sample (n=506, with 418 deaths) from which a classification system was established, or a test sample (n=255, with 200 deaths) for validating its prognostic significance.

RESULTS

Five prognostic factors were selected at the 0.0001 level: Karnofsky index <80% (relative risk of death=2.2, 95% confidence interval: 1.7-2.7), serum bilirubin >50 micromol/l (relative risk=2.1, 95% confidence interval: 1.7-2.6), serum alkaline phosphatase at least twice the upper limit of normal range (relative risk=1.6, 95% confidence interval: 1.3-2.0), serum alpha-fetoprotein >35 microg/l (relative risk=1.7, 95% confidence interval: 1.4-2.1), and ultrasonographic portal obstruction (relative risk=1.3, 95% confidence interval: 1.1-1.7). Three risk groups with different 1-year survival rates (72%, 34%, 7%) were derived, and independently validated in the test sample (79%, 31%, 4%).

CONCLUSION

This classification could be useful in the assessment of prognosis from homogeneous groups of patients with respect to their expected outcome.

摘要

背景/目的:肝细胞癌患者的生存预测较为困难。本前瞻性研究旨在基于多变量Cox模型为肝细胞癌患者的生存预测提供一种简单的分类方法。

方法

在30个月的时间里,纳入了来自24个西方医学中心的761例肝细胞癌患者。患者被随机分配到用于建立分类系统的训练样本组(n = 506,418例死亡)或用于验证其预后意义的测试样本组(n = 255,200例死亡)。

结果

在0.0001水平上选择了5个预后因素:卡诺夫斯基指数<80%(死亡相对风险=2.2,95%置信区间:1.7 - 2.7)、血清胆红素>50微摩尔/升(相对风险=2.1,95%置信区间:1.7 - 2.6)、血清碱性磷酸酶至少为正常范围上限的两倍(相对风险=1.6,95%置信区间:1.3 - 2.0)、血清甲胎蛋白>35微克/升(相对风险=1.7,95%置信区间:1.4 - 2.1)以及超声门静脉梗阻(相对风险=1.3,95%置信区间:1.1 - 1.7)。得出了1年生存率不同的3个风险组(72%、34%、7%),并在测试样本组中进行了独立验证(79%、31%、4%)。

结论

这种分类方法可能有助于从同组患者的预期结果方面评估预后。

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