A New Clinical Scoring System for Adenoid Hypertrophy in Children
Publish place: Iranian Journal of Otorhinolaryngology، Vol: 27، Issue: 1
Publish Year: 1394
نوع سند: مقاله ژورنالی
زبان: English
View: 132
This Paper With 7 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_IJOTO-27-1_007
تاریخ نمایه سازی: 11 بهمن 1400
Abstract:
Introduction: Chronic nasal obstruction due to adenoid hypertrophy is a very common disorder. Although the clinical assessment of adenoid hypertrophy is essential, its real value in young children is difficult to evaluate. The purpose of this prospective study was to validate a simple clinical score to predict the severity of adenoid obstruction and to evaluate the relationship between this method of clinical scoring with radiography and nasopharyngeal endoscopy. Materials and Methods: Ninety symptomatic children were enrolled into this study. The clinical score included difficulty of breathing during sleep, apnea, and snoring. We investigated the relationship between clinical scoring, nasal endoscopy, and radiographic findings. Results: The clinical score correlated very well with endoscopic findings (P<۰.۰۰۰), but the correlation between the clinical score and radiologic findings (P>۰.۰۵) and endoscopic findings and imaging (P>۰.۰۵) was weak. Conclusion: Clinical findings could be used to select children for adenoidectomy, especially when endoscopic examination is not available or cannot be performed.
Keywords:
Authors
Shervin Sharifkashani
Department of Radiology, Amiralam Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Payman Dabirmoghaddam
Otolaryngology Research Center, Amiralam Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Maryam Kheirkhah
Postgraduate, Tehran University of Medical Sciences.
Rima Hosseinzadehnik
Azad University of Dentistry. Tehran, Iran.
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :