Suppr超能文献

呼出气一氧化氮与重度哮喘中鼻息肉的相关性。

Association between exhaled nitric oxide and nasal polyposis in severe asthma.

机构信息

Pulmonary Rehabilitation Unit, ICS Maugeri SpA, IRCCS, Telese Terme, Benevento, Italy.

Department of Respiratory Medicine, University Federico II, Naples, Italy.

出版信息

Respir Med. 2019 Jun;152:20-24. doi: 10.1016/j.rmed.2019.04.017. Epub 2019 Apr 25.

Abstract

BACKGROUND

Although several contributions exist on the role of fractional exhaled NO (FeNO) in diagnosis and management of asthma, no studies have analysed the association between FeNO in patients with severe asthma and nasal polyposis.

AIM

We investigated the potential association between FeNO and the presence of nasal polyps in patients affected by severe asthma.

METHODS

Study population included 93 severe asthmatic adult patients consecutively enrolled from four Italian specialist clinic centres from 2015 to 2018. In these patients lung function, asthma control, FeNO, blood eosinophils and CT scan of paranasal sinuses were evaluated.

RESULTS

Nasal polyposis was observed in 28 patients (30%). Among univariate predictors (lower BMI, higher FeNO, eosinophil and neutrophil count), recursive partitioning analysis identified as best predictors of nasal polyposis high values of eosinophil count (≥6.5% or >420 cells/mm) and FeNO (≥39 ppb). The 40 patients with low eosinophil count and FeNO had a significant lower occurrence of nasal polyposis than those with higher values (8% vs 58%; p < 0.001). The stratification algorithm had a good performance in discriminate patients with and without nasal polyposis (area under the receiver operating characteristic curve of 0.768).

CONCLUSIONS

Our results show that FeNO might improve to detect nasal polyposis in patients with severe asthma and a low level of blood eosinophils counts, identifying individuals with high susceptibility to this condition.

摘要

背景

尽管有几项关于呼出气一氧化氮(FeNO)在哮喘诊断和管理中的作用的研究,但尚无研究分析严重哮喘患者的 FeNO 与鼻息肉之间的关系。

目的

我们研究了 FeNO 与严重哮喘患者鼻息肉存在之间的潜在关联。

方法

研究人群包括 2015 年至 2018 年期间连续从意大利四个专科诊所中心招募的 93 名成年严重哮喘患者。在这些患者中评估了肺功能、哮喘控制、FeNO、血嗜酸性粒细胞和鼻窦 CT 扫描。

结果

28 例(30%)患者存在鼻息肉。在单变量预测因素(较低的 BMI、较高的 FeNO、嗜酸性粒细胞和中性粒细胞计数)中,递归分割分析确定了嗜酸性粒细胞计数(≥6.5%或>420 个细胞/mm)和 FeNO(≥39 ppb)是鼻息肉的最佳预测因素。嗜酸性粒细胞计数和 FeNO 值较低的 40 例患者鼻息肉的发生率明显低于那些值较高的患者(8%比 58%;p<0.001)。分层算法在区分有和无鼻息肉的患者方面具有良好的性能(受试者工作特征曲线下面积为 0.768)。

结论

我们的结果表明,FeNO 可能有助于检测严重哮喘且血嗜酸性粒细胞计数较低的患者的鼻息肉,从而识别出对这种情况易感性高的个体。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验