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通过Cox回归模型确定的肝硬化预后因素。

Prognostic factors in cirrhosis identified by Cox's regression model.

作者信息

Schlichting P, Christensen E, Andersen P K, Fauerholdt L, Juhl E, Poulsen H, Tygstrup N

出版信息

Hepatology. 1983 Nov-Dec;3(6):889-95. doi: 10.1002/hep.1840030601.

Abstract

In a controlled clinical trial in 488 patients with chronic liver disease treated with prednisone or placebo, survival data were analyzed using Cox's proportional hazards model. A total of 162 variables were screened separately for prognostic and/or therapeutic effect by log-rank analyses, whereby 46 clinical, biochemical, serological, and histological variables were isolated. Another five variables traditionally found to be important in patients with liver disease were included. After extensively checking the assumptions of the model, the 51 variables were, by a step-wise procedure, reduced to a final model. It comprised, besides a treatment indicator, 12 variables with significant (p less than 0.05) prognostic or therapeutic effect. The following eight variables had a significant prognostic effect: sex, age, prothrombin, acetylcholinesterase, eosinophil leucocytes in liver parenchyma, liver cell necrosis, inflammation in liver connective tissue, and efferent veins in parenchymal nodules. A prognostic index based on the final model is formed allowing calculation of 5 years survival probability. The usefulness of the prognostic index was tested by a cross-validation method, and no statistical significant difference was found between the estimated and observed survivorship functions.

摘要

在一项针对488例接受泼尼松或安慰剂治疗的慢性肝病患者的对照临床试验中,使用Cox比例风险模型分析生存数据。通过对数秩分析分别筛选了总共162个变量的预后和/或治疗效果,从中分离出46个临床、生化、血清学和组织学变量。另外纳入了传统上认为在肝病患者中很重要的5个变量。在广泛检查模型的假设后,通过逐步程序将这51个变量简化为最终模型。除了一个治疗指标外,该模型还包含12个具有显著(p小于0.05)预后或治疗效果的变量。以下8个变量具有显著的预后效果:性别、年龄、凝血酶原、乙酰胆碱酯酶、肝实质中的嗜酸性粒细胞、肝细胞坏死、肝结缔组织炎症以及实质结节中的输出静脉。基于最终模型形成了一个预后指数,用于计算5年生存概率。通过交叉验证方法测试了预后指数的有效性,估计的和观察到的生存函数之间未发现统计学显著差异。

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