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The Annals of otology, rhinology, and laryngology · 2017

Correlation of Symptoms, Clinical Signs, and Biomarkers of Inflammation in Postsurgical Chronic Rhinosinusitis.

СтатьяМногоцентровое исследованиеНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
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Racette Samuel D, Wijewickrama Rohan C, Jayaprakash Vijayvel, Sherris David A, Santos Carlos, Kita Hirohito, O'Donnell Frank E, Ponikau Jens U

Аннотация

OBJECTIVE: The study aimed to evaluate symptoms described by patients with chronic rhinosinusitis with polypoid changes/nasal polyps and their correlation with computed tomography (CT), nasal endoscopy, and intranasal biomarkers.

STUDY DESIGN: Prospective multicenter study symptom data from postsurgical adult chronic rhinosinusitis study participants with recurrent disease refractory to medical therapy were analyzed in comparison with objective data.

METHODS: Using logistic regression analysis, participant-rated 16-question surveys from 258 participants were assessed for correlation with nasal endoscopy scores, CT percentage of sinus occlusion, and intranasal biomarkers of fungal antigens (Alternaria and Aspergillus), eosinophilic inflammation (eosinophil-derived neurotoxin [EDN] and major basic protein [MBP]), and inflammatory cytokines (interleukins 5 and 13).

RESULTS: Study participant assessments revealed increased CT occlusion in participants presenting with greater inability to smell ( P < .019). Mucosal inflammation identified on nasal endoscopy was positively correlated with congestion ( P < .028), runny nose ( P < .002), and ear pain ( P < .007). Elevated EDN was positively correlated in patients with bothersome congestion ( P < .031) and runny nose ( P < .011). Sneezing was positively correlated with multiple markers: Alternaria ( P < .024), interleukin-13 ( P < .027), MBP ( P < .034), and interleukin-5 ( P < .019).

CONCLUSION: Nasal endoscopy, not CT imaging, has the strongest correlation with the 2 cardinal symptoms of congestion and runny nose in CRS patients; these correlate with biomarkers of eosinophilic inflammation.

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