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The clinical value of red blood cell volume distribution width coefficient of variation and serum IL-11 and IL-31 in the diagnosis of interstitial lung disease
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Xin-Long Guo, Zhi-Wei Zhao, Gui-Fen Pang, Lin-Ying Yang*
Medical Journal of Chinese People’s Liberation Army | 2024, 49(11) : 1295 - 1301
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Medical Journal of Chinese People’s Liberation Army | 2024, 49(11): 1295-1301
Clinical Research
The clinical value of red blood cell volume distribution width coefficient of variation and serum IL-11 and IL-31 in the diagnosis of interstitial lung disease
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Xin-Long Guo, Zhi-Wei Zhao, Gui-Fen Pang, Lin-Ying Yang*
Affiliations
  • Department of Respiratory and Critical Care Medicine, the Affiliated Hospital of Chengde Medical College, Chengde, Hebei 067000, China
Published: 2024-11-28 doi: 10.11855/j.issn.0577-7402.0113.2024.0717
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Objective To explore the clinical value of red blood cell volume distribution width coefficient of variation (RDW-CV), serum interleukin-11 (IL-11) and interleukin-31 (IL-31) in the diagnosis of interstitial lung disease (ILD). Methods Prospectively selected 46 ILD patients admitted to the Department of Respiratory and Critical Care Medicine, the Affiliated Hospital of Chengde Medical University from November 2022 to October 2023 were set as ILD group, 40 patients with community-acquired pneumonia (CAP) as CAP group, and 35 healthy examiners as control group. The ILD group was further divided into idiopathic interstitial pneumonia (IIP) subgroup (n=30) and connective tissue disease-related ILD (CTD-ILD) subgroup (n=16) based on clinical diagnosis. General and clinical data of each group were recorded, and RDW-CV and serum IL-11 and IL-31 levels were detected in each group. The ILD group was tested for alveolar arterial oxygen pressure difference (AaDO2) and arterial blood oxygen pressure (PaO2), and calculated the oxygenation index (OI). The correlation between the levels of RDW-CV, IL-11 and IL-31 and the severity of ILD were analyzed to explore the value of the above indicators in the clinical diagnosis of ILD and the differential diagnosis of different types of ILD. Results Compared with control group, there was no statistically significant difference in general information such as age, gender, smoking history, and complications between the ILD and CAP groups (P<0.05); RDW-CV, absolute values of neutrophil count (NEUT), and serum IL-11 and IL-31 levels in ILD group were significantly increased (P>0.05). Compared with CAP group, the levels of RDW-CV and serum IL-11, IL-31 in ILD group were increased, while the level of serum C-reactive protein (CRP) was decreased, with statistically significant differences (P<0.05). Correlation analysis results showed that RDW-CV and serum IL-31 in ILD patients were negatively correlated with OI (P<0.05), and positively correlated with AaDO2 (P<0.05). The area under the ROC curves (AUC) of RDW-CV and serum IL-11, IL-31 single and combined applications for diagnosing ILD were 0.770, 0.666, 0.646, and 0.854, respectively (P<0.05). The AUC of serum IL-11 for differential diagnosis of CTD-ILD and IIP was 0.727(95%CI 0.580-0.874), with sensitivity of 62.5% and specificity of 73.3% (P<0.05). Conclusions RDW-CV and serum IL-31 have certain value in assessing the severity of ILD. RDW-CV and serum IL-11 and IL-31 have certain value in the diagnosis of ILD. Serum IL-11 has certain value in the differential diagnosis between CTD-ILD and IIP.

interstitial lung disease  /  red blood cell volume distribution width  /  interleukin-11  /  interleukin-31
Xin-Long Guo, Zhi-Wei Zhao, Gui-Fen Pang, Lin-Ying Yang. The clinical value of red blood cell volume distribution width coefficient of variation and serum IL-11 and IL-31 in the diagnosis of interstitial lung disease[J]. Medical Journal of Chinese People’s Liberation Army, 2024 , 49 (11) : 1295 -1301 . DOI: 10.11855/j.issn.0577-7402.0113.2024.0717
  • Project of Hebei Key Laboratory of Panvascular Diseases(SZX202306)
  • Talent Training Program on Clinical Medicine Founded by Government of Hebei Province [Ji Health (2021) No.9]()
Year 2024 volume 49 Issue 11
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Article Info
doi: 10.11855/j.issn.0577-7402.0113.2024.0717
  • Receive Date:2024-01-13
  • Online Date:2025-11-20
  • Published:2024-11-28
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History
  • Received:2024-01-13
  • Accepted:2024-04-28
Funding
Project of Hebei Key Laboratory of Panvascular Diseases(SZX202306)
Talent Training Program on Clinical Medicine Founded by Government of Hebei Province [Ji Health (2021) No.9]()
Affiliations
    Department of Respiratory and Critical Care Medicine, the Affiliated Hospital of Chengde Medical College, Chengde, Hebei 067000, China

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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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