基于呼出一氧化氮的检查点抑制剂相关肺炎诊断模型的构建:一项前瞻性观察研究

IF 3.5 2区 医学 Q2 ONCOLOGY
Translational lung cancer research Pub Date : 2025-05-30 Epub Date: 2025-05-20 DOI:10.21037/tlcr-2024-1085
Yimei Gao, Tingyue Luo, Danhui Huang, Zeyu Fu, Shudong Ma, Li Lin, Haohua Huang, Tiantian Liu, Jinming Zhang, Xiaoxiao Jiang, Yanmei Ye, Junwei Chen, Junjie Xi, Jinzhong Zhuo, Kaijun Chen, Jingqi Ai, Laiyu Liu, Shaoxi Cai, Hangming Dong
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引用次数: 0

摘要

背景:免疫检查点抑制剂相关性肺炎(CIP)是免疫检查点抑制剂(ICIs)的一种高死亡率并发症。目前仍缺乏有效的生物标志物来识别CIP。呼出一氧化氮(eNO)是一种气道炎症标志物,可通过无创方法获得,但其在CIP中的价值尚不清楚。本研究的目的是探讨eNO在CIP中的价值。方法:选取南方医科大学南方医院接受体外循环治疗的肺癌患者。测定呼气流速为50和200 mL/s时的一氧化氮分数(FeNO50和FeNO200)。基于气道-肺泡双室模型计算肺泡一氧化氮浓度(CaNO)。根据受试者工作特征(ROC)曲线确定最佳CaNO截止值。通过logistic回归分析鼻咽癌、临床特征和实验室检查,找出发生CIP的危险因素。建立了基于CIP最佳风险因素的多指标模型并进行了内部验证。结果:CaNO在CIP组显著升高[8.1±5.0 vs. 4.9±3.1 ppb]。结论:CaNO可能是一种新的识别CIP的标志物。CaNO升高、胸部CT显示既往放疗及肺气肿、胸部CT显示少量胸腔积液、外周血淋巴细胞计数降低均与CIP独立相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Construction of a checkpoint inhibitor-related pneumonia diagnostic model based on exhaled nitric oxide: a prospective observational study.

Background: Checkpoint inhibitor-related pneumonia (CIP) is a complication of immune checkpoint inhibitors (ICIs) with high mortality. There is still a lack of effective biomarkers to identify CIP. Exhaled nitric oxide (eNO), an airway inflammatory marker, can be obtained by non-invasive methods, but its value in CIP is unknown. The purpose of this study was to investigate the value of eNO in CIP.

Methods: Lung cancer patients who received ICIs were included at Nanfang Hospital, Southern Medical University. Fractional eNO at expiratory flow rates of 50 and 200 mL/s (FeNO50 and FeNO200) were measured. The alveolar concentration of nitric oxide (CaNO) was calculated based on the two-compartment model of airway and alveoli. The optimal CaNO cut-off value was determined by the receiver operating characteristic (ROC) curve. eNO, clinical characteristics, and laboratory tests were analyzed to find out the risk factors for CIP by logistic regression analysis. A multi-indicator model based on best risk factors for CIP was developed and internally validated.

Results: CaNO was significantly elevated in the CIP group [8.1±5.0 vs. 4.9±3.1 parts per billion (ppb), P<0.001]. The area under the curve (AUC) of CaNO to differentiate CIP was 0.728 [95% confidence interval (CI): 0.670-0.786; P=0.001]. The best cut-off value of CaNO was 6.350 ppb. Increased CaNO [odds ratio (OR), 1.30; 95% CI: 1.19-1.43; P<0.001], emphysema reported on chest computed tomography (CT) (OR, 2.54; 95% CI: 1.41-4.60), a small amount of pleural effusion reported on chest CT (OR, 2.48; 95% CI: 1.37-4.50), pre-existing radiotherapy (OR, 3.89; 95% CI: 1.96-7.73) and the lower counts of lymphocyte cell in peripheral blood (OR, 0.69; 95% CI: 0.44-1.10) were independently associated with CIP. The five factors were incorporated into a multi-indicator model with a good predictive accuracy of 0.821.

Conclusions: CaNO may be a new marker for identifying CIP. Increased CaNO, pre-existing radiotherapy and emphysema reported on chest CT, a small amount of pleural effusion reported on chest CT, and lower count of lymphocyte cell in peripheral blood are independently associated with CIP.

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来源期刊
CiteScore
7.20
自引率
2.50%
发文量
137
期刊介绍: Translational Lung Cancer Research(TLCR, Transl Lung Cancer Res, Print ISSN 2218-6751; Online ISSN 2226-4477) is an international, peer-reviewed, open-access journal, which was founded in March 2012. TLCR is indexed by PubMed/PubMed Central and the Chemical Abstracts Service (CAS) Databases. It is published quarterly the first year, and published bimonthly since February 2013. It provides practical up-to-date information on prevention, early detection, diagnosis, and treatment of lung cancer. Specific areas of its interest include, but not limited to, multimodality therapy, markers, imaging, tumor biology, pathology, chemoprevention, and technical advances related to lung cancer.
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