Objective: The purpose of this article is to establish an endoscopic score system for quantitative evaluation of the inflammation of mucous membrane in patients with chronic rhinosinusitis (CRS) , and to investigate the correlation of this system with a variety of clinical factors.
Methods: A set of score system was constructed based on anatomic configuration, status of mucous membrane and nasal secretion to evaluate quantificationally the severity of inflammation of CRS. The clinical correlation of this system was studied prospectively in 60 CRS patients, with a variety of clinical factors which included age, duration of disease, previous recurrence and the years from recent recurrence, atopy, serum total immunoglobulin E (TIgE), serum eosinophil cationic protein (ECP), the count of blood eosinophil, the count of tissue inflammatory cell, the extension of CRS indicated by CT, smoking, concomitant chronic inflammation in lower respiratory tract. All above factors were analyzed statistically with the endoscopic score by Pearson correlation and multi-factor linear regression analysis.
Results: In pearson analysis, the correlative factors with the evaluated score included age (x1, r = - 0.310, P = 0.016), the extension of disease (x2, r = 0. 810, P < 0.0005), recurrence (x3, r = 0.408, P = 0.001), eosinophil of nasal tissue (x4, r = 0.279, P = 0. 031), duration of disease (x5, r = 0.536, P < 0.0005), concurrent nasal polyps (r = 0.549, P < 0.0005), plasm cell (r = 0. 317, P = 0.014) and years from the recent recurrence (r = 0.385, P = 0.002). In multi-factor linear regression, the five independent predictive factors were recurrence, age, extension of disease, tissue eosinophils, years of disease. The regressive equation is y = 10.148 - 0.152 (x1) + 2.250 (x2) + 3.348 (x3) + 1.233 (x4) + 0.270 (x5).
Conclusions: Appropriate score system by nasal endoscopy is feasible to evaluate quantificationally the degree of inflammation of CRS; being appropriately modified, it is even able to reveal the underlying histological behavior finely.