Volume 24 Issue 1
Jan.  2026
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DAI Jianxia, LIU Yuan, YU Yuanyuan, SONG Jinping. Diagnostic value of bronchoalveolar lavage fluid mGNS technology combined with inflammatory factors for chronic obstructive pulmonary disease complicated with fungal infection[J]. Chinese Journal of General Practice, 2026, 24(1): 27-30. doi: 10.16766/j.cnki.issn.1674-4152.004322
Citation: DAI Jianxia, LIU Yuan, YU Yuanyuan, SONG Jinping. Diagnostic value of bronchoalveolar lavage fluid mGNS technology combined with inflammatory factors for chronic obstructive pulmonary disease complicated with fungal infection[J]. Chinese Journal of General Practice, 2026, 24(1): 27-30. doi: 10.16766/j.cnki.issn.1674-4152.004322

Diagnostic value of bronchoalveolar lavage fluid mGNS technology combined with inflammatory factors for chronic obstructive pulmonary disease complicated with fungal infection

doi: 10.16766/j.cnki.issn.1674-4152.004322
Funds:

 20240123

 2022D01C617

  • Received Date: 2025-05-28
    Available Online: 2026-04-01
  •   Objective  To improve the accuracy of diagnostic methods for chronic obstructive pulmonary disease (COPD) complicated with fungal infections. In response to the unsatisfactory sensitivity and specificity of traditional diagnostic methods, the main focus of this study is to explore the diagnostic value of bronchoalveolar lavage fluid mGNS technology combined with inflammatory factors for this disease, aiming to provide a reliable basis for clinical diagnosis.  Methods  A total of 102 patients with COPD complicated with fungal infection admitted to the People ' s Hospital of Xinjiang Uygur Autonomous Region from June 2022 to June 2024 were selected as the fungal infection group, and 102 patients with COPD without infection were selected as the non-infection group. The clinical data and levels of inflammatory factors [tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6), interleukin-2 (IL-2)] were compared between the two groups. Pearson analysis was used to investigate the correlation between inflammatory factors and lung function [forced expiratory volume in one second (FEV1), forced vital capacity (FVC), FEV1/FVC]. Receiver operating characteristic (ROC) curves were used to analyze the diagnostic value of mGNS and inflammatory factors for COPD complicated with fungal infections.  Results  The proportion of diabetes and hypoproteinemia, serum TNF-α, IL-6, and IL-2 levels in the fungal infection group were higher than those in the non-infection group, while FEV1, FVC, and FEV1/FVC were lower than those in the non-infection group (P < 0.05). The levels of serum TNF-α, IL-6, and IL-2 were negatively correlated with lung function (P < 0.05). The AUC of serum TNF-α, IL-6, and IL-2 for diagnosing COPD with fungal infection were 0.793, 0.754, and 0.778, respectively. The sensitivity and specificity of mGNS in diagnosing COPD complicated with fungal infection were 91.18% and 86.27%, respectively. The AUC of mGNS combined with serum TNF-α, IL-6, and IL-2 for the diagnosis of COPD with fungal infection was 0.960, and the combined predictive value was the highest (P < 0.05).  Conclusion  The combination of mGNS and serum TNF-α, IL-6, and IL-2 has high clinical value in the diagnosis of COPD complicated with fungal infection.

     

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