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体重减轻定义在非小细胞肺癌预后评估中的重要性。

Importance of weight loss definition in the prognostic evaluation of non-small-cell lung cancer.

作者信息

Buccheri G, Ferrigno D

机构信息

Divisione di Pneumologia, Ospedale 'S Croce e Carle', Cuneo, I-12100, Italy.

出版信息

Lung Cancer. 2001 Dec;34(3):433-40. doi: 10.1016/s0169-5002(01)00273-2.

DOI:10.1016/s0169-5002(01)00273-2
PMID:11714541
Abstract

In both clinical practice and scientific reporting, various definitions of weight loss (WL) are currently in use. A comparison of their efficiency would be appropriate. In this report, we describe the first clinical evaluation of different WL definitions. New consecutive non-small-cell lung cancer (NSCLC) patients (388) were prospectively studied at the Pulmonary Unit of 'S. Croce and Carle' Hospitals from 1995 to 1999. Multiple anthropometric, clinical and pathological data, along with eight WL-related variables, were analysed. Patients' length of survival was estimated using the Kaplan-Meier function and the Cox's multivariate regression. In univariate analysis, all WL variables were prognostically significant. Among them, total WL (i.e. the percent difference between the weight at diagnosis and the last weight recorded while in good health, dichotomised by the threshold level of 11%) was the most significant factor (Log-rank: 29.65, P=0.0000). The best Cox's model for survival prediction, constructed using all the available clinical information, included, in order of importance, the following three factors: stage of disease classification, performance status and total WL. Contrary to what one might expect, WL speedy was less predictive than WL quantity. Evidence from this study suggests that, while the loss of body weight is confirmed a significant prognostic factor in NSCLC, the value of this factor is partially dependent on its definition.

摘要

在临床实践和科学报告中,目前使用着各种减肥(WL)的定义。对它们的有效性进行比较是合适的。在本报告中,我们描述了对不同WL定义的首次临床评估。1995年至1999年,在“S. Croce and Carle”医院的肺病科对388例新的连续非小细胞肺癌(NSCLC)患者进行了前瞻性研究。分析了多项人体测量学、临床和病理数据,以及八个与WL相关的变量。使用Kaplan-Meier函数和Cox多变量回归估计患者的生存时间。在单变量分析中,所有WL变量在预后方面都具有显著性。其中,总WL(即诊断时体重与健康状态下最后记录体重之间的百分比差异,以11%的阈值进行二分法划分)是最显著的因素(对数秩检验:29.65,P = 0.0000)。使用所有可用临床信息构建的用于生存预测的最佳Cox模型,按重要性顺序包括以下三个因素:疾病分期、体能状态和总WL。与预期相反,WL速度的预测性不如WL量。这项研究的证据表明,虽然体重减轻被证实是NSCLC的一个重要预后因素,但该因素的价值部分取决于其定义。

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