Scholarlink

Purpose <p>Obstructive sleep apnea (OSA) is a prevalent disorder associated with severe comorbidities. Anatomical variations, including nasal diseases, have been identified as potential contributing factors. This study aimed to explore the relationship between nasal cross-sectional areas (CSAs) and OSA, using both acoustic rhinometry (AR) and computed tomography (CT).</p> Methods <p>A retrospective analysis was conducted on 355 individuals who underwent polysomnography (PSG), paranasal sinus CT, and AR. Clinical characteristics were compared among the non-OSA, mild OSA, moderate OSA, and severe OSA patients. Multiple logistic regression was used to determine the influence of nasal cross-sectional areas (CSAs) on the risk of developing moderate or severe OSA, with adjustments for sex, age, and body mass index.</p> Results <p>Significant associations between specific AR-measured CSA values of anterior nasal region and moderate–severe OSA were identified upon adjusting for confounders (<i>p</i> = 0.034, 0.010, and 0.025, respectively). The lower CSA measurements between the right and the left sides showed a stronger correlation with moderate–severe OSA than the summed values, suggesting the importance of the narrower nasal passage in OSA severity. No significant impact of CSA values on the development of severe OSA was observed.</p> Conclusion <p>Nasal CSA measured using AR appears to be a better method for verifying its association with OSA than CT. Nasal CSAs at the anterior region of the inferior turbinates play a crucial role in developing OSA, independent of other known risk factors.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Association between nasal cross-sectional areas and obstructive sleep apnea identified using acoustic rhinometry and computed tomography

  • 期刊论文

  • 发表日期：

    2025年2月3日

查看全文
  • Yeon Hee Im,
  • Dong-Hyun Kim,
  • Seulah Lee,
  • Eun-Ju Jeon,
  • Inn-Chul Nam,
  • Hyun Jin Lee,
  • Dae-Yang Kim

摘要

Purpose

Obstructive sleep apnea (OSA) is a prevalent disorder associated with severe comorbidities. Anatomical variations, including nasal diseases, have been identified as potential contributing factors. This study aimed to explore the relationship between nasal cross-sectional areas (CSAs) and OSA, using both acoustic rhinometry (AR) and computed tomography (CT).

Methods

A retrospective analysis was conducted on 355 individuals who underwent polysomnography (PSG), paranasal sinus CT, and AR. Clinical characteristics were compared among the non-OSA, mild OSA, moderate OSA, and severe OSA patients. Multiple logistic regression was used to determine the influence of nasal cross-sectional areas (CSAs) on the risk of developing moderate or severe OSA, with adjustments for sex, age, and body mass index.

Results

Significant associations between specific AR-measured CSA values of anterior nasal region and moderate–severe OSA were identified upon adjusting for confounders (p = 0.034, 0.010, and 0.025, respectively). The lower CSA measurements between the right and the left sides showed a stronger correlation with moderate–severe OSA than the summed values, suggesting the importance of the narrower nasal passage in OSA severity. No significant impact of CSA values on the development of severe OSA was observed.

Conclusion

Nasal CSA measured using AR appears to be a better method for verifying its association with OSA than CT. Nasal CSAs at the anterior region of the inferior turbinates play a crucial role in developing OSA, independent of other known risk factors.