Clinical predictors of revision surgery for chronic rhinosinusitis with nasal polyposis within 5-year follow-up

Multivariate analysis of clinical and radiological risk factors for revision endoscopic sinus surgery in patients with chronic rhinosinusitis with nasal polyps: can phenotype predict recurrence?

OBJECTIVE

This study aimed to analyse clinical and radiological features (phenotypes) to predict revision risk after functional endoscopic sinus surgery in patients with chronic rhinosinusitis with nasal polyps.

METHOD

Phenotype characteristics of the patients with chronic rhinosinusitis with nasal polyps who underwent functional endoscopic sinus surgery were analysed retrospectively.

RESULTS

The rates of asthma, aspirin sensitivity, smoking and a positive prick test result were significantly higher in revision functional endoscopic sinus surgery cases (p < 0.001, 0.001, < 0.001 and < 0.001, respectively). Multivariate analysis demonstrated that only gender, pre-operative nasal steroid use, pre-operative systemic steroid use, intra-operative systemic steroid use and smoking were significant risk factors for revision functional endoscopic sinus surgery (p = 0.034, 0.001, 0.010, 0.007 and 0.001, respectively). In addition, only eosinophilia and aspirin sensitivity were significant risk factors for multiple revision functional endoscopic sinus surgery procedures (p = 0.043 and 0.005, odds ratio = 2.4 and 5.2).

CONCLUSION

Beyond the endotype of chronic rhinosinusitis with nasal polyps, defining clinical and radiological factors enables a valid prediction of patients at high risk of revision functional endoscopic sinus surgery.

The Rate and Predictors of Allergic Fungal Rhinosinusitis Recurrence Post-sinus Surgery: A Retrospective Cohort Study

Objectives Chronic rhinosinusitis (CRS) is the persistent inflammation of the mucosal lining of the paranasal sinuses (PNS). By definition, the inflammatory process persists beyond 12 weeks. One of its subtypes is allergic fungal rhinosinusitis (AFRS), which has a high risk of recurrence, leading to revision surgery. This study aimed to establish the predictive factors for the recurrence of AFRS in post-sinus surgery patients. Methods This single-center retrospective study was conducted in Al-Noor Specialist Hospital, Makkah, Saudi Arabia. The charts of patients with AFRS who underwent surgery in our rhinology clinic between 2000 and 2020 were reviewed. Results Among the 116 patients included in this study, approximately half (53%) were female, with a median age of 24.5 years. Thirty-nine (33.6%) patients had recurrence post-sinus surgery, with 33.3% occurring within six months of follow-up. The results showed that patients with coexisting bronchial asthma were three times more likely to experience recurrence (adjusted odds ratio {AOR}, 3.43; confidence interval {CI}, 1.35-8.71), patients with uncorrected deviated nasal septum (DNS) were three times more likely to experience symptoms again following surgery (AOR, 3.70; CI, 1.14-12.02), and patients who presented with concomitant sinus headaches are 66% less likely to experience recurrence (AOR, 0.34; CI, 0.13-0.86). Conclusion The results showed that 33.62% of patients experienced recurrence following surgery. Bronchial asthma and DNS were strongly associated with recurrence; however, their presence does not always imply the need for additional surgery.

Prognostic factors for post-operative outcomes in chronic rhinosinusitis with nasal polyps: a systematic review

INTRODUCTION

Chronic rhinosinusitis with nasal polyps (CRSwNP) has a high recurrence rate after surgery despite the availability of medical treatments. Multiple clinical and biological factors have been associated with poor post-operative outcomes in patients with CRSwNP. However, these factors and their prognostic values have not yet been extensively summarized.

AREAS COVERED

This systematic review included 49 cohort studies exploring the prognostic factors for post-operative outcomes in CRSwNP. A total of 7802 subjects and 174 factors were included. All investigated factors were classified into three categories according to their predictive value and evidence quality, of which 26 factors were considered plausible for post-operative outcome prediction. Previous nasal surgery, ethmoid-to-maxillary (E/M) ratio, fractional exhaled nitric oxide, tissue eosinophil count or percentage, tissue neutrophil count, tissue IL-5, tissue eosinophil cationic protein, and CLC or IgE in nasal secretion provided more reliable information for prognosis in at least two studies.

EXPERT OPINION

Exploring predictors through noninvasive or minimally invasive methods for specimen collection is recommended for future work. Models combining multiple factors must be established, as no single factor is effective for the whole population.

Differentiation of eosinophilic and non-eosinophilic chronic rhinosinusitis on preoperative computed tomography using deep learning

OBJECTIVES

This study aimed to develop deep learning (DL) models for differentiating between eosinophilic chronic rhinosinusitis (ECRS) and non-ECRS (NECRS) on preoperative CT.

DESIGN

Axial spiral CT images were pre-processed and used to build the dataset. Two semantic segmentation models based on U-net and Deeplabv3 were trained to segment the sinus area on CT images. All patient images were segmented using the better-performing segmentation model and used for training and testing of the transferred efficientnet_b0, resnet50, inception_resnet_v2, and Xception neural networks. Additionally, we evaluated the performances of the models trained using each image and each patient as a unit.

PARTICIPANTS

A total of 878 chronic rhinosinusitis (CRS) patients undergoing nasal endoscopic surgery at Renmin Hospital of Wuhan University (Hubei, China) between October 2016 to June 2021 were included.

MAIN OUTCOME MEASURES

The precision of each model was assessed based on the receiver operating characteristic curve. Further, we analyzed the confusion matrix and accuracy of each model.

RESULTS

The Dice coefficients of U-net and Deeplabv3 were 0.953 and 0.961, respectively. The average area under the curve and mean accuracy values of the four networks were 0.848 and 0.762 for models trained using a single image as a unit, while the corresponding values for models trained using each patient as a unit were 0.893 and 0.853, respectively.

CONCLUSIONS

Combining semantic segmentation with classification networks could effectively distinguish between patients with ECRS and those with NECRS based on preoperative sinus CT images. Furthermore, labeling each patient to build a dataset for classification may be more reliable than labeling each medical image.

Long-term evaluation of nasal polyposis recurrence: A focus on multiple relapses and nasal cytology

PURPOSE

Recurrence of chronic rhinosinusitis with nasal polyps (CRSwNP) is highly variable, reaching 55-60% of cases. Different results about clinical parameters as recurrence predictors has been reported. The aim of this retrospective study was to evaluate CRSwNP recurrence risk after a long-term follow-up (up to 20 years). Moreover, the role of nasal cytology was assessed.

MATERIALS AND METHODS

Sixty-one patients who underwent functional endoscopic sinus surgery for CRSwNP were enrolled. Clinical parameters were recorded. Nasal cytology was performed at follow-up examinations. The Kaplan-Meier method was used to obtain the recurrence-free survival curves. The median number of recurrences per year was evaluated.

RESULTS

Five- and 10-year recurrence rates were 30.29% and 66.06%, respectively. Median recurrence-free survival was 106 months. Asthma and Aspirin-Exacerbated Respiratory Disease represented predictors of multiple recurrences (p < 0.05). Intranasal steroids were the main treatment to prevent relapses (p < 0.05). Patients with normal cytology at follow-up evaluation had a lower probability to have first recurrence within 10 years (59% of cases), compared to neutrophil or eosinophil infiltrate (100% and 88% of cases, respectively) (p < 0.05).

CONCLUSIONS

CRSwNP has a high recurrence risk, also more than 10 years after surgery. Nasal cytology may identify subjects with a higher risk of early recurrence.

Biologics for severe uncontrolled chronic rhinosinusitis with nasal polyps: a change management approach. Consensus of the Joint Committee of Italian Society of Otorhinolaryngology on biologics in rhinology

Chronic rhinosinusitis with nasal polyps (CRSwNP) is a heterogeneous inflammatory condition of nasal mucosa and paranasal sinuses, predominantly mediated by type 2 inflammation and often associated with comorbid asthma and/or Exacerbated Respiratory Disease (N-ERD). The standard of care involves local and systemic corticosteroids and/or sinonasal surgery, although these options may be associated with recurrences and patients may require revision surgery. Difficult-to-treat patients, in fact, have a more severe disease requiring high systemic corticosteroid use and/or multiple sinonasal surgeries. Literature data suggests that biologic agents targeting specific key effectors of type 2 inflammation may offer supplemental therapy for patients with severe and uncontrolled CRSwNP, leading to significant improvement in several outcomes. For these reasons, over the years the endotyping of the disease has become increasingly important. Herein, we provide not only an update on the existing studies about the most promising biologics in CRSwNP, but also critical discussion on controversies about the use of biologics in severe uncontrolled CRSwNP. We finally provide consensus on strategic issues gathered among experts of the Joint Committee of Italian Society of Otorhinolaryngology on biologics in order to offer the best care for difficult to treat patients.

Clinical efficacy of dupilumab in the treatment of severe chronic rhinosinusitis: The first case outside of a clinical trial

Treatment options for severe CRSwNP are limited. Dupilumab is a safe, well-tolerated, and effective alternative in patients with poor control of symptoms, corticosteroid-dependent disease, and high rates of recurrence of nasal polyps after surgery.