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石棉暴露个体的补偿评估。I. 石棉相关非恶性损伤的检测与量化。

Evaluation for compensation of asbestos-exposed individuals. I. Detection and quantification of asbestos-related nonmalignant impairment.

作者信息

Mitchell R S, Chase G R, Kotin P

出版信息

J Occup Med. 1985 Feb;27(2):95-109.

PMID:3156979
Abstract

An objective method for measuring nonmalignant respiratory impairment caused by inhaled asbestos has been devised. Three standard physiologic tests (the forced vital capacity [FVC], the forced expiratory volume in 1 s [FEV1], the single-breath diffusing capacity for carbon monoxide [DCO]) and the posteroanterior chest roentgenogram are utilized. The age-, height-, and sex-specific normal ranges of the FVC%, the DCO%, and the FEV1/FVC% have been used in the method. The theory and rationale are described. The resulting algorithm can be presented using a nomogram. Data on 586 asbestos-exposed subjects were analyzed by the proposed method. Empirical evaluation showed the sensitivity to be greater than 90% in definitive diagnosis of asbestosis without airflow obstruction, and the specificity to be greater than 80% for those cases judged eligible for nomographic evaluation. Exceptions were found in 15 cases diagnosed clinically as asbestosis, none of whom had any evidence of pulmonary fibrosis. In addition, 50 cases diagnosed as "no asbestosis" did have evidence of pulmonary fibrosis and would have qualified for some compensation by the proposed method. In summary, this approach has been shown to yield a reliable final asbestos-related lung impairment index that, when taken together with individual societal data, can provide a reliable basis for determining compensation.

摘要

已设计出一种用于测量吸入石棉所致非恶性呼吸功能损害的客观方法。采用了三项标准生理测试(用力肺活量[FVC]、一秒用力呼气量[FEV1]、单次呼吸一氧化碳弥散量[DCO])以及后前位胸部X线片。该方法使用了FVC%、DCO%和FEV1/FVC%的年龄、身高和性别特异性正常范围。对理论和基本原理进行了描述。所得算法可用列线图表示。采用所提出的方法对586名接触石棉的受试者的数据进行了分析。实证评估表明,对于无气流阻塞的石棉肺确诊病例,其敏感性大于90%,对于判定符合列线图评估条件的病例,其特异性大于80%。在15例临床诊断为石棉肺的病例中发现了例外情况,这些病例均无肺纤维化证据。此外,50例被诊断为“无石棉肺”的病例确实有肺纤维化证据,根据所提出的方法本应有资格获得一定赔偿。总之,已证明这种方法能够得出可靠的最终石棉相关肺损害指数,该指数与个体社会数据相结合,可为确定赔偿提供可靠依据。

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