Fibrinogen-to-albumin ratio as a novel biomarker in pneumoconiosis: a retrospective cohort study.

IF 2 4区 医学 Q3 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Seval Müzeyyen Ecin, Semra Özkan
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引用次数: 0

Abstract

Objectives: Pneumoconiosis is the most common occupational respiratory disease in Turkey and is associated with chronic systemic inflammation. Both occupational dust exposure and heavy metals such as lead may contribute to inflammatory responses. Novel inflammatory indices, including the fibrinogen-to-albumin ratio (FAR), have gained attention; however, their supportive role in occupational lung diseases remains insufficiently defined.

Material and methods: This retrospective study included 156 workers who presented to an Occupational Diseases Outpatient Clinic in Mersin, Turkey, in 2019-2023. Demographic, occupational, hematological, biochemical, and inflammatory parameters were collected. Pneumoconiosis was diagnosed based on occupational silica exposure and high-resolution computed tomography findings. Univariable and multivariable logistic regression analyses were performed to evaluate associations between pneumoconiosis and selected biomarkers. Receiver operating characteristic analysis was used to assess the discriminative performance of FAR.

Results: Thirty-two workers (20.5%) were diagnosed with early-stage pneumoconiosis. Glass workers represented the largest subgroup (37.5%). Compared with non-pneumoconiosis participants, pneumoconiosis patients were older and had longer work duration, higher hemoglobin, fibrinogen, blood lead levels, and FAR, as well as lower platelet count, albumin, and glomerular filtration rate. In univariable analyses, lower albumin and higher fibrinogen and FAR were associated with pneumoconiosis. In multivariable analysis, only FAR remained independently associated with pneumoconiosis (OR = 1.1, 95% CI: 1.0-1.3, p = 0.004). Receiver operating characteristic analysis demonstrated that a FAR cut-off value >69.9 predicted pneumoconiosis with 73.9% sensitivity and 72.1% specificity (AUC = 0.741).

Conclusions: Fibrinogen-to-albumin ratio was independently associated with pneumoconiosis, whereas albumin, fibrinogen, and blood lead did not retain significance after adjustment. Given its moderate discriminative ability, FAR should be considered a supportive and complementary biomarker reflecting systemic inflammation rather than a stand-alone diagnostic tool. Larger multicenter prospective studies are warranted to validate these findings. Int J Occup Med Environ Health. 2026;39(1):28-38.

Abstract Image

纤维蛋白原与白蛋白比率作为尘肺病的一种新的生物标志物:一项回顾性队列研究。
目的:尘肺病是土耳其最常见的职业性呼吸系统疾病,与慢性全身性炎症有关。职业性粉尘接触和铅等重金属都可能导致炎症反应。新的炎症指标,包括纤维蛋白原与白蛋白比(FAR),已经引起了人们的关注;然而,它们在职业性肺病中的支持作用仍未得到充分界定。材料和方法:本回顾性研究包括2019-2023年在土耳其梅尔辛职业病门诊就诊的156名工人。收集了人口统计学、职业、血液学、生化和炎症参数。尘肺病的诊断是基于职业性二氧化硅暴露和高分辨率计算机断层扫描结果。进行单变量和多变量logistic回归分析以评估尘肺病与选定生物标志物之间的关联。采用接收者工作特征分析来评估FAR的判别性能。结果:确诊早期尘肺32例(20.5%)。玻璃工人是最大的群体(37.5%)。与非尘肺患者相比,尘肺患者年龄更大,工作时间更长,血红蛋白、纤维蛋白原、血铅水平和FAR水平更高,血小板计数、白蛋白和肾小球滤过率更低。在单变量分析中,较低的白蛋白和较高的纤维蛋白原和FAR与尘肺病有关。在多变量分析中,只有FAR仍然与尘肺病独立相关(OR = 1.1, 95% CI: 1.0-1.3, p = 0.004)。受试者工作特征分析显示,FAR截断值>69.9预测尘肺病,敏感性73.9%,特异性72.1% (AUC = 0.741)。结论:纤维蛋白原与白蛋白比值与尘肺病独立相关,而白蛋白、纤维蛋白原和血铅在调整后不保持显著性。考虑到FAR的中等鉴别能力,它应该被视为反映全身性炎症的支持性和补充性生物标志物,而不是一个独立的诊断工具。需要更大规模的多中心前瞻性研究来验证这些发现。中华医学杂志,2009;39(1)。
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来源期刊
CiteScore
3.40
自引率
5.00%
发文量
52
审稿时长
7.5 months
期刊介绍: The Journal is dedicated to present the contemporary research in occupational and environmental health from all over the world. It publishes works concerning: occupational and environmental: medicine, epidemiology, hygiene and toxicology; work physiology and ergonomics, musculoskeletal problems; psychosocial factors at work, work-related mental problems, aging, work ability and return to work; working hours, shift work; reproductive factors and endocrine disruptors; radiation, ionizing and non-ionizing health effects; agricultural hazards; work safety and injury and occupational health service; climate change and its effects on health; omics, genetics and epigenetics in occupational and environmental health; health effects of exposure to nanoparticles and nanotechnology products; human biomarkers in occupational and environmental health, intervention studies, clinical sciences’ achievements with potential to improve occupational and environmental health.
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