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Adenoid hypertrophy detection inventory in children for primary care physicians and pediatricians
Fatih Kurt1,2, Abdullah Belada3, Buşra Oz4
1Pediatrics Clinic, Duzce University, Duzce, Turkey. fatihkurt_04@hotmail.com.
Insights
This study developed a clinical inventory to help primary care physicians and pediatricians predict adenoid hypertrophy. The tool aids in managing patient follow-up and treatment planning for obstructive symptoms.
Area of Science:
- Otolaryngology
- Pediatrics
- Diagnostic Tools
Background:
- Adenoid hypertrophy causes nasopharyngeal obstruction and related symptoms.
- Endoscopic nasopharyngoscopy is the gold standard for diagnosis but lacks accessibility.
- A need exists for a clinical tool to assess adenoid hypertrophy in primary care settings.
Purpose of the Study:
- To develop and validate a clinical inventory for predicting the degree of adenoid hypertrophy.
- To assist primary care physicians and pediatricians in managing patients with potential adenoid hypertrophy.
- To facilitate timely referral for surgical evaluation when necessary.
Main Methods:
- Diagnostic test study conducted at a tertiary referral hospital.
- Involved 123 cases (82 patients, 41 controls) with comprehensive evaluations.
- Utilized endoscopic nasopharyngoscopy and Multinomial Logistic Regression (MLR) for model development.
Main Results:
- Key inventory items include snoring, restless sleep, noisy breathing, and recurrent infections.
- The inventory accurately categorized patients into severity groups (absent to severe).
- Achieved a 70% accuracy rate with an ROC curve area of 0.67.
Conclusions:
- The developed inventory is user-friendly and accurate for predicting adenoid hypertrophy obstruction.
- Empowers primary care physicians and pediatricians in patient management and treatment planning.
- Streamlines referral processes to ENT specialists for surgical consideration.
Objective:
Adenoid tissue consists of clusters of lymphoid tissue within the nasopharynx and can cause symptoms due to obstruction when hypertrophied. The gold standard for diagnosis is endoscopic nasopharyngoscopy, but it is not always readily available. This study aims to develop an inventory that primary care physicians and pediatricians can use to predict the degree of adenoid hypertrophy clinically, facilitating the planning of patient follow-up and treatment.
Study Design:
A diagnostic test study.
Settings:
tertiary referral hospital.
Methods:
The study involved 123 cases, with 82 in the patient group and 41 in the control group. Evaluation encompassed demographic characteristics, history, and physical examination findings. Additionally, a child psychiatrist assessed cases neurocognitively, behaviorally, and psychologically. Finally, cases underwent endoscopic nasopharyngoscopy by an ENT specialist, recording adenoid sizes and choanae narrowing. Multinomial Logistic Regression (MLR) analysis determined the most suitable model for the clinical inventory.
Results:
Snoring, restless sleep, noisy breathing, recurrent throat infections, and recurrent rhinosinusitis constitute the items of the clinical inventory. The average score of relevant items categorized patients into absent and mild, moderate, and severe groups. The area under the ROC curve for average scores of the inventory was 0.67, significantly surpassing the probability of random assignment (0.17). The inventory's accuracy rate was 70%.
Conclusion:
This user-friendly and highly accurate inventory aids in predicting obstruction degree in patients. Primary care physicians and pediatricians can effectively manage follow-up and treatment, referring cases requiring surgery to an ENT specialist based on the inventory results.
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