Suppr超能文献

儿童和青少年的最大鼻吸气流量与最大呼气流量之间的相关性。

Correlation between peak nasal inspiratory flow and peak expiratory flow in children and adolescents.

机构信息

Paediatric Pulmonology Unit, University Hospital, Federal University of Minas Gerais, Belo Horizonte, Brazil.

出版信息

Rhinology. 2012 Dec;50(4):381-5. doi: 10.4193/Rhino12.073.

Abstract

BACKGROUND

PEAK nasal inspiratory flow (PNIF) has been proposed as a simple method to evaluate nasal patency. Asthma and allergic rhinitis are commonly associated, and lower airway assessment can provide information concerning an objective interpretation of nasal function.

AIMS

TO determine whether the PNIF is correlated with peak expiratory flow (PEF) in children and adolescents.

METHODS AND RESULTS

Cross-sectional study carried out in healthy students randomly chosen in 14 public schools of the city of Belo Horizonte. PNIF and PEF were assessed for each subject as the following characteristics: gender, height, weight and age. We created a linear regression model to explain the PNIF, in which we included all the variables with a p value ≤ 0.25 in a univariate analysis, and to calculate the relationship between the maximum PNIF and maximum PEF by the Spearman correlation coefficient. In total, 297 healthy subjects, aged between six and eighteen years were evaluated. A positive and significant correlation between PNIF and PEF was found.

CONCLUSIONS

PEF is predictive of PNIF. However, these measures evaluate two distinct segments of the airways and should be both obtained for a more precise assessment of airflow limitation.

摘要

背景

峰值鼻吸气流量(PNIF)已被提议作为评估鼻腔通畅性的一种简单方法。哮喘和过敏性鼻炎通常同时存在,而下呼吸道评估可以提供有关鼻腔功能的客观解释的信息。

目的

确定 PNIF 是否与儿童和青少年的呼气峰流速(PEF)相关。

方法和结果

在贝洛奥里藏特市的 14 所公立学校中随机选择健康学生进行横断面研究。对每位受试者的 PNIF 和 PEF 进行评估,包括以下特征:性别、身高、体重和年龄。我们创建了一个线性回归模型来解释 PNIF,其中包括单变量分析中 p 值≤0.25 的所有变量,并通过斯皮尔曼相关系数计算最大 PNIF 和最大 PEF 之间的关系。总共评估了 297 名年龄在 6 至 18 岁之间的健康受试者。发现 PNIF 与 PEF 之间存在正相关关系。

结论

PEF 可预测 PNIF。然而,这些措施评估了气道的两个不同部位,为更精确地评估气流受限,这两个指标都应该获得。

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