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成人霍奇金病预后因素的多变量分析。

A multivariate analysis of prognostic factors in adult Hodgkin's disease.

作者信息

Dienstbier Z, Chytrý P, Hermanská Z, Melínová L, Pĕnicka P, Maríková E

机构信息

Institute of Biophysics and Nuclear Medicine, Faculty of General Medicine, Charles University, Prague.

出版信息

Neoplasma. 1989;36(4):447-56.

PMID:2770931
Abstract

A multivariate analysis of the prognostic factors was carried out with a Cox model on 167 patients with Stage I-IV Hodgkin's disease. The following indicators were prospectively registered: Sex, age, clinical stage, systemic symptoms, histological type, number of involved areas, nodal size, mediastinal thoracic ratio (MTR), localization of mediastinal involvement according to the aortic arcus, hilar involvement, extent of radiotherapy, and extent and mode of chemotherapy. A linear logistic analysis showed that most of the indicators were interrelated. This emphasizes the necessity of a multivariate analysis in order to assess the independent influence of each of them. The three main prognostic indicators for complete remission achievement were age, clinical stage and involvement of lung hili. The three main prognostic indicators for disease-free survival were sex, size of mediastinal involvement (MTR) and use of alternating chemotherapy COPP/ABVD in the initial treatment strategy. The most important prognostic factor for survival was clinical stage followed by hilar involvement, age, and nodal size. The coefficients estimated by Cox regression analysis can be used to combine the important prognostic factors into a single index for each patient at presentation. The prognostic index for each patient would allow the identification of cases with poor prognosis who might benefit from additional initial treatment.

摘要

对167例I-IV期霍奇金病患者,采用Cox模型进行预后因素的多变量分析。前瞻性记录以下指标:性别、年龄、临床分期、全身症状、组织学类型、受累区域数量、淋巴结大小、纵隔胸比率(MTR)、根据主动脉弓的纵隔受累部位、肺门受累情况、放疗范围以及化疗范围和方式。线性逻辑分析表明,大多数指标相互关联。这强调了进行多变量分析以评估每个指标独立影响的必要性。实现完全缓解的三个主要预后指标是年龄、临床分期和肺门受累情况。无病生存的三个主要预后指标是性别、纵隔受累大小(MTR)以及初始治疗策略中使用交替化疗COPP/ABVD。生存的最重要预后因素是临床分期,其次是肺门受累、年龄和淋巴结大小。通过Cox回归分析估计的系数可用于将重要预后因素合并为每个患者就诊时的单一指数。每个患者的预后指数将有助于识别预后不良的病例,这些病例可能从额外的初始治疗中获益。

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