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峰值鼻吸气和呼气流量参考方程:一项横断面研究。

Reference Equations for Peak Nasal Inspiratory and Expiratory Flow: A Cross-Sectional Study.

临床研究鼻科IF 2.3Q2

文献信息

中文摘要

目的: 利用易于测量的人体测量变量,为健康成人建立峰值鼻吸气流量(PNIF)和峰值鼻呼气流量(PNEF)的参考方程。
方法: 这项横断面研究纳入了239名临床健康成人(123名女性和116名男性),年龄20-55岁,肺功能正常,且无临床相关的鼻塞症状。使用标准化技术测量PNIF和PNEF。以性别、身高、体重和年龄作为候选预测变量,构建广义线性模型。模型选择基于校正的赤池信息量准则(AICc)。
结果: 模型m14对PNIF和PNEF均显示出最佳拟合和简约性。PNIF的最终参考方程为PNIF(L/min)= exp(3.370356 + 0.633324 × 身高(m)+ 0.004086 × 体重(kg)+ 0.130967 × 性别)。PNEF的参考方程为PNEF(L/min)= exp(2.799532 + 1.062786 × 身高(m)+ 0.005143 × 体重(kg)+ 0.133738 × 性别)。性别编码为女性0,男性1。身高和体重与两种结局均呈显著正相关。年龄未改善模型性能。
结论: 在临床健康成人中建立了PNIF和PNEF的参考方程。与PNEF相比,PNIF表现出更好的同质性和更低的残差变异性,提示其作为解释客观鼻气流测量值的补充工具具有潜在价值。这些内部验证的方程在更广泛的临床应用前需要外部验证。
证据等级: 不适用。

英文摘要

OBJECTIVE: To develop reference equations for peak nasal inspiratory flow (PNIF) and peak nasal expiratory flow (PNEF) in healthy adults using easily measurable anthropometric variables.
METHODS: This cross-sectional study included 239 clinically healthy adults (123 women and 116 men) aged 20-55 years with normal spirometry and no clinically relevant nasal obstruction symptoms. PNIF and PNEF were measured using standardized techniques. Generalized linear models were constructed using sex, height, weight, and age as candidate predictors. Model selection was based on the corrected Akaike information criterion (AICc).
RESULTS: Model m14 demonstrated the best fit and parsimony for both PNIF and PNEF. The final reference equation for PNIF was PNIF (L/min) = exp (3.370356 + 0.633324 × height (m) + 0.004086 × weight (kg) + 0.130967 × sex). The reference equation for PNEF was PNEF (L/min) = exp (2.799532 + 1.062786 × height (m) + 0.005143 × weight (kg) + 0.133738 × sex). Sex was coded as 0 for female and 1 for male. Height and weight showed significant positive associations with both outcomes. Age did not improve model performance.
CONCLUSION: Reference equations for PNIF and PNEF were established in clinically healthy adults. Compared with PNEF, PNIF demonstrated greater homogeneity and lower residual variability, suggesting potential value as a complementary tool for interpreting objective nasal airflow measurements. These internally validated equations require external validation before broader clinical application.
LEVEL OF EVIDENCE: N/A.