Suppr超能文献

职业性哮喘筛查工具及其诊断准确性:一项系统评价。

Screening tools for work-related asthma and their diagnostic accuracy: a systematic review.

作者信息

Kongsupon Ngamjit, Adab Peymane, Jordan Rachel E, Huntley Christopher C, Rattanakanokchai Siwanon, Wallbanks Samuel, Li Shiyao, Walters Gareth I

机构信息

Department of Applied Health Sciences, University of Birmingham, Birmingham, UK.

Department of Community Medicine and Family Medicine, Thammasat University Faculty of Medicine, Khlong Nueng, Pathum Thani, Thailand.

出版信息

BMJ Open Respir Res. 2025 Jul 15;12(1):e003251. doi: 10.1136/bmjresp-2025-003251.

Abstract

INTRODUCTION

One in four cases of asthma in adults is caused or worsened by work (work-related asthma: WRA). Early detection of WRA could prevent poor health and employment outcomes, but clinical diagnosis is often missed or delayed. The standardisation and effectiveness of screening tools have not been well established. We aimed to summarise and compare the performance of screening tools for identifying WRA in both clinical settings and workplaces.

METHODS

We searched for studies that used structured questionnaires or prediction models (with/without physiological tests) to identify WRA in clinical settings or workplaces with individuals aged≥16 years in MEDLINE, Embase, other bibliographic databases and grey literature between 1975 and 2024. Two reviewers independently screened titles, abstracts and full texts for inclusion, extracted data and assessed risk of bias using QUADAS-2 tool (Quality Assessment of Diagnostic Test Accuracy 2) or PROBAST (Prediction Model Risk of Bias Assessment Tool). Screening tools and their indices of accuracy were summarised with paired forest plots of sensitivities and specificities.

RESULTS

Of 17 504 identified studies, 7 were included. All were implemented in tertiary hospitals (n=5) and specialist centres (n=2). The screening tools comprised questionnaires alone (individual questions n=3 and multiple questions n=2), questionnaire with methacholine challenge test (n=1) and diagnostic models (n=4). The question 'improvement off work' had sensitivity=74-87% and specificity=15-58% for identifying WRA. Multiple questions had sensitivity=80-100% and specificity=8-55%. Addition of the methacholine challenge test to one questionnaire improved specificity to 75% with sensitivity=65%. Diagnostic models reported area under the curve (AUC) between 0.69 and 0.89, and AUC was improved when adding demographic variables or objective tests.

DISCUSSION

A single item 'improvement off work' and multiple questions have high sensitivity but low specificity for WRA, which are sufficient for screening purposes to enhance WRA diagnosis. Adding demographic variables and objective tests can improve specificity or AUC. However, studies on screening tools for WRA are limited and inadequately reported; further evaluations of performance are needed in primary care populations and workplaces.

PROSPERO REGISTRATION NUMBER

CRD42021246031.

摘要

引言

四分之一的成人哮喘病例是由工作引起或因工作而恶化(职业性哮喘:WRA)。早期发现职业性哮喘可以预防健康状况不佳和就业问题,但临床诊断往往被漏诊或延误。筛查工具的标准化和有效性尚未得到很好的确立。我们旨在总结和比较在临床环境和工作场所中识别职业性哮喘的筛查工具的性能。

方法

我们在MEDLINE、Embase、其他书目数据库和灰色文献中搜索了1975年至2024年间使用结构化问卷或预测模型(有/无生理测试)在临床环境或工作场所中识别年龄≥16岁个体的职业性哮喘的研究。两名评审员独立筛选标题、摘要和全文以纳入研究,提取数据并使用QUADAS - 2工具(诊断测试准确性质量评估2)或PROBAST(预测模型偏倚风险评估工具)评估偏倚风险。筛查工具及其准确性指标通过敏感性和特异性的配对森林图进行总结。

结果

在17504项已识别的研究中,纳入了7项。所有研究均在三级医院(n = 5)和专科中心(n = 2)实施。筛查工具包括单独的问卷(单个问题n = 3,多个问题n = 2)、问卷加乙酰甲胆碱激发试验(n = 1)和诊断模型(n = 4)。“工作后改善”这一问题在识别职业性哮喘时敏感性为74 - 87%,特异性为15 - 58%。多个问题的敏感性为80 - 100%,特异性为8 - 55%。在一份问卷中添加乙酰甲胆碱激发试验后,特异性提高到75%,敏感性为65%。诊断模型报告的曲线下面积(AUC)在0.69至0.89之间,添加人口统计学变量或客观测试后AUC有所改善。

讨论

单个项目“工作后改善”和多个问题对职业性哮喘具有高敏感性但低特异性,这足以用于筛查目的以加强职业性哮喘的诊断。添加人口统计学变量和客观测试可以提高特异性或AUC。然而,关于职业性哮喘筛查工具的研究有限且报告不充分;需要在初级保健人群和工作场所对性能进行进一步评估。

PROSPERO注册号:CRD42021246031。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51d8/12265809/03ee4dea645e/bmjresp-12-1-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验