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Noninvasive Sampling of Mucosal Lining Fluid for the Quantification of In Vivo Upper Airway Immune-mediator Levels
Published on: August 7, 2017
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Can the systemic immune inflammation index preoperatively predict nasal polyp subtypes?
Mehmet Emre Sivrice1, Erdoğan Okur2, Hasan Yasan1
1Department of Oto-Rhino-Laryngology and Head and Neck Surgery, Faculty of Medicine, S.Demirel University, Isparta, Turkey.
Summary
Predicting nasal polyp subtypes like eosinophilic or neutrophilic chronic rhinosinusitis before surgery is possible. Blood eosinophil counts and the systemic immune inflammation index show predictive value, aiding clinical decisions.
Area of Science:
- Otolaryngology
- Immunology
- Pathology
Background:
- Chronic rhinosinusitis with nasal polyps (CRSwNP) presents eosinophilic or neutrophilic subtypes.
- Accurate classification of CRSwNP subtypes is crucial for effective treatment.
- Non-invasive methods to predict polyp subtypes are needed to guide clinical management.
Purpose of the Study:
- To evaluate the predictive accuracy of inflammatory markers for identifying eosinophilic nasal polyps.
- To determine if preoperative hematological parameters can differentiate between eosinophilic and neutrophilic CRSwNP.
Main Methods:
- Analysis of 299 patients undergoing sinus surgery for nasal polyps between 2012 and 2019.
- Comparison of preoperative complete blood count, systemic immune inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR).
- Receiver operating characteristic (ROC) curve analysis to assess the predictive value of identified markers.
Main Results:
- Both absolute blood eosinophil count (AUC=0.681) and SII (AUC=0.621) demonstrated statistically significant predictive value.
- An eosinophil cut-off of 0.25 × 10^9/L yielded an odds ratio (OR) of 49.27 with 69% sensitivity and 64% specificity.
- An SII cut-off of 332.39 showed an OR of 1.003 with 84% sensitivity and 39% specificity.
Conclusions:
- Absolute blood eosinophil count and SII can serve as reliable preoperative predictors for nasal polyp subtypes.
- These markers may assist rhinologists in non-invasively classifying CRSwNP before surgical intervention.
- Further research is warranted to investigate the utility of SII in predicting postoperative recurrence.

