The Diagnostic Value of Routine Spirometry in Occupational Health Practice for Early Detection of Silicosis: A Retrospective Belgian Study Among Silica-Exposed Workers.

IF 1.4
Nele Van Loon, Kevin Lamote, David Ruttens, Mathieu Verbrugghe, Sofie Acke, Cindy Mai, Annemiek Snoeckx, Wim Siemons, Steven Ronsmans, Pierre Van Damme, Thérèse Lapperre
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Abstract

Objective: Silicosis is a pneumoconiosis caused by respirable crystalline silica (RCS). As current surveillance methods have low sensitivity for early detection, we evaluated the value of prediagnostic occupational spirometry monitoring.

Methods: To investigate the possibility of detecting disease, we assessed 58 RCS-exposed cases by linking lung function abnormalities to CT readings. Univariate, stepwise logistic regression and ROC analysis were performed.

Results: Of 31 workers with RCS-related CT abnormalities, 25 were classified as silicosis. Fixed cutoff predicted values (FCO) for FEV 1 and FVC of <80% and FEV 1 /FVC of <0.7, FEV 1 % predicted decline >15%, and FEV 1 decline >60 mL/year were significantly associated with pathological outcome. Combining FCO ( P  = 0.001) and percentage predicted method (PPM) ( P  = 0.023) best predicted silicosis (AUC ROC  = 0.84).

Conclusions: To identify RCS-exposed workers requiring diagnostic referral, priority should be given to those with FCO, PPM, and annual FEV 1 decline abnormalities.

常规肺量测定在职业卫生实践中早期发现矽肺的诊断价值:一项对比利时矽肺暴露工人的回顾性研究。
目的:矽肺是由可吸入结晶二氧化硅(RCS)引起的尘肺病。由于目前的监测方法对早期发现的敏感性较低,我们评估了诊断前职业肺活量监测的价值。方法:通过将肺功能异常与CT读数联系起来,对58例rcs暴露病例进行评估,探讨检测疾病的可能性。进行单因素、逐步logistic回归和ROC分析。结果:31名有rcs相关CT异常的工人中,有25例为矽肺。FEV1和FVC的固定截断预测值(FCO) < 80%, FEV1/FVC < 0.7, FEV1 1%预测下降> 15%,FEV1下降> 60 mL/年与病理结果显著相关。结合FCO (p = 0.001)和百分比预测法(PPM) (p = 0.023)最能预测矽肺(AUCROC = 0.84)。结论:为了确定需要诊断转诊的rcs暴露工人,应优先考虑FCO、PPM和年度FEV1下降异常的工人。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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