Department of Rhinology and Facial Plastic Surgery, Royal National Throat Nose and Ear Hospital, London, UK.
Department of Medical Physics and Biomedical Engineering, University College London, London, UK.
Clin Otolaryngol. 2019 Jul;44(4):518-524. doi: 10.1111/coa.13313. Epub 2019 Apr 26.
To plot the nasal cycle using unilateral peak nasal inspiratory flow (UPNIF) and unilateral minimal cross-sectional area (UMCA) readings demonstrating a linear relationship in normal nasal function. Additionally, to determine how this changes in abnormal nasal function.
A cross-sectional study measuring UPNIF and UMCA in controls demonstrating normal nasal function and in patients with nasal obstruction.
Royal National Throat Nose and Ear Hospital, London.
A total of 39 participants, 26 controls and 13 patients, were recruited. Controls exhibited normal nasal function with SNOT-22 <5. Patients nasal obstruction symptoms secondary to inflammation or structural abnormality with SNOT-22 >9.
Airflow rates and resistance values were derived from UPNIF and UMCA measurements respectively based on Poiseuille's laws. Ratios between right and left UPNIF and UMCA values were taken to adjust for confounding factors. The relationship of 1/Resistance Ratio and Airflow Rate Ratio demonstrated a linear of direct proportionality of strong correlation and statistical significance (correlation coefficient = 0.76, P « 0.01). This suggests that data points from controls with a normal nasal cycle lie closely along the regressed line, whilst those lying significantly away were shown to belong to patients with nasal dysfunction. Olfactory dysfunction appears to be a sensitive discriminator in predicting this.
This study demonstrates the directly proportional relationship of 1/Resistance Ratio and Airflow Rate Ratio in normal nasal function. Furthermore, nasal pathology can be predicted if data points lie significantly outside these normal limits. Further studies are needed to validate exact normal and abnormal thresholds.
通过单侧最大鼻吸气峰流速（UPNIF）和单侧最小横截面积（UMCA）读数绘制鼻周期，这些读数显示正常鼻功能呈线性关系。此外，还确定了异常鼻功能下这种关系如何变化。
一项横断面研究，在正常鼻功能的对照组和有鼻塞的患者中测量 UPNIF 和 UMCA。
伦敦皇家国家耳鼻喉医院。
共招募了 39 名参与者，26 名对照组和 13 名患者。对照组的 SNOT-22<5，表现出正常的鼻功能。患者的鼻塞症状是由炎症或结构异常引起的，SNOT-22>9。
气流率和阻力值分别根据泊肃叶定律从 UPNIF 和 UMCA 测量中得出。右和左 UPNIF 和 UMCA 值之间的比值用于调整混杂因素。1/阻力比和气流比的关系显示出强相关性和统计学意义（相关系数=0.76，P«0.01）的直接比例关系。这表明，正常鼻周期的对照组数据点紧密地沿着回归线分布，而那些明显偏离的点则属于鼻功能障碍的患者。嗅觉功能障碍似乎是预测这一点的敏感指标。
本研究表明，在正常鼻功能中，1/阻力比和气流比呈直接比例关系。此外，如果数据点明显超出这些正常范围，则可以预测鼻病理。需要进一步的研究来验证确切的正常和异常阈值。
