职业与健康 ›› 2026, Vol. 42 ›› Issue (16): 2189-2193.

• 论著—职业卫生与职业相关疾病 • 上一篇    下一篇

部分血清生物标志物在矽肺诊断中的临床应用分析

张艳1, 陈耀华2()   

  1. 1 成都中医药大学四川 成都 610000
    2 达州市中心医院四川 达州 635000
  • 收稿日期:2025-09-17 修回日期:2025-10-10 出版日期:2026-08-15 发布日期:2026-08-10
  • 通信作者: 陈耀华,E-mail:chyh007@qq.com
  • 作者简介:张艳,女,在读硕士研究生,研究方向为矽肺。
  • 基金资助:
    四川省科学技术厅重点研发项目(2023YFS0469)

Clinical application analysis of selected serum biomarkers in the diagnosis of silicosis

ZHANG Yan1, CHEN Yaohua2()   

  1. 1 Chengdu University of Traditional Chinese MedicineChengduSichuan 610000, China
    2 Dazhou Central HospitalDazhouSichuan 635000, China
  • Received:2025-09-17 Revised:2025-10-10 Online:2026-08-15 Published:2026-08-10
  • Contact: CHEN Yaohua,E-mail:chyh007@qq.com

摘要:

目的 了解矽肺患者与健康群体在常规血清生物学指标中的差异,并分析相关指标与矽肺发生发展的关系,评价其作为矽肺潜在诊断生物标志物的临床价值。方法 收集2015年1月—2022年12月达州市中心医院临床诊断为矽肺的患者的住院治疗临床资料,选取病历完整的男性矽肺患者499例作为观察组,对照组选取年龄相仿的健康检查健康的男性,并对数据进行分析。结果 观察组患者的直接胆红素[MP25P75)][3.3(2.4,4.6)umol/L] 、肌酐[75.6(66.0,87.0)umol/L]、尿素[6.2(4.9,7.9)umol/L]、中性粒细胞与淋巴细胞比值(neutrophil to lymphocyte ratio,NLR)[3.4(2.4,5.3)]、血小板与淋巴细胞比值(patelet to lymphpcyte ratio,PLR)[126.3(86.2,182.6)]高于对照组,血红蛋白[134.0(122.0,145.0)g/L]低于对照组,且差异均有统计学意义(均P<0.05)。除尿素指标外,其余指标差异均有统计学意义(均P<0.05),均为预测矽肺的有意义指标。双变量相关分析表明,两组患者的血红蛋白与预测矽肺呈负相关(r=-0.292,P<0.05),而直接胆红素、肌酐、PLR 、NLR与预测矽肺均呈正相关(r=0.139、0.113、0.281、0.264,均P<0.05)。NLR的受试者工作特征曲线下面积(area under the receiver operating characteristic curve,AUC)为0.733,特异度为0.740,灵敏度为0.630;PLR的曲线下面积AUC为0.731,特异度为0.591,灵敏度为0.775。直接胆红素AUC值为3.690,特异度为0.812,灵敏度为0.402;肌酐的曲线下面积AUC值为0.592,灵敏度为0.334,特异度为0.818;血红蛋白的曲线下面积AUC为0.288,特异度为0.994,灵敏度为0.012。有意义指标的联合检测的AUC为0.862,特异度为0.929,灵敏度为0.667。上述指标联合检测对预测矽肺的效能较单独检测要高得多。结论 矽肺患者血清中胆红素、尿素、肌酐、血象等升高,这些指标可能是诊断矽肺的潜在生物标志物。胆红素、肌酐、血象联合检测可提高对矽肺的预测效能。

关键词: 矽肺病, 血清标志物, 胆红素, 肌酐, 中性粒细胞与淋巴细胞比值, 血小板与淋巴细胞比值, 并发症, 预测

Abstract:

Objective To understand the differences of common serum biomarkers between patients with silicosis and healthy populations,analyze the relationship between relevant indicators and the occurrence and development of silicosis,and evaluate their clinical value as potential diagnostic biomarkers for silicosis. Methods Clinical data were collected from hospitalized male patients clinically diagnosed with silicosis at Dazhou Central Hospital from January 2015 to December 2022. A total of 499 male silicosis patients with complete medical records were selected as the observation group,while age-matched healthy males undergoing physical examinations served as the control group,and the data were analyzed. Results The MP25P75) of direct bilirubin[3.3(2.4,4.6)umol/L],creatinine[75.6(66.0,87.0)umol/L],urea[6.2(4.9,7.9)umol/L],neutrophil-to-lymphocyte ratio(NLR)[3.4(2.4,5.3)],and platelet-to-lymphocyte ratio(PLR)[126.3(86.2,182.6)] in the observation group were higher than those in the control group,while hemoglobin[134.0(122.0,145.0)g/L] was lower than in the control group,and the differences were all statistically significant(all P<0.05). Except for the urea index,the differences in other indicators were statistically significant (all P<0.05),indicating that they were meaningful predictors of silicosis. Bivariate correlation analysis indicated that hemoglobin was negatively correlated with the prediction of silicosis(r=-0.292,P<0.05),while direct bilirubin,creatinine,PLR,and NLR(r=0.139,0.113,0.281,0.264,all P<0.05) were all positively correlated with the prediction of silicosis. The receiver operating characteristic(ROC) curve showed that the area under the curve(AUC) for NLR was 0.733,with specificity of 0.740 and sensitivity of 0.630.The AUC for PLR was 0.731,with specificity of 0.591 and sensitivity of 0.775. The AUC for direct bilirubin was 3.690,with specificity of 0.812 and sensitivity of 0.402. The AUC for creatinine was 0.592,with sensitivity of 0.334 and specificity of 0.818;The AUC for hemoglobin was 0.288,with specificity of 0.994 and sensitivity of 0.012. The AUC for the combined detection of the above significant indicators was 0.862,with specificity of 0.929 and sensitivity of 0.667. The combined detection of these indicators showed significantly higher predictive efficacy for silicosis than any single test alone. Conclusion Elevated levels of bilirubin,urea,creatinine,and blood cell counts in the serum of silicosis patients may serve as potential biomarkers for diagnosing silicosis. The combined detection of bilirubin,creatinine,and blood cell indices can improve the predictive efficacy for silicosis.

Key words: Silicosis, Serum markers, Bilirubin, Creatinine, Neutrophil-to-lymphocyte ratio, Platelet-to-lymphocyte ratio, Complications, Prediction.

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