Background: Sinonasal undifferentiated carcinoma (SNUC) is an extremely rare, high-grade, and aggressive tumor of the sinonasal tract. Due to the rarity of this malignancy, current treatment guidelines are based on small and often/mainly single-center retrospective datasets. In the absence of a universally accepted standard of care for SNUC, treatment approaches vary across countries and institutions, reflecting real-world clinical practice. The primary aim of this study was to describe real-world treatment and outcomes for patients with confirmed SNUC. Methods: This was an international, multi-center, retrospective, observational cohort study that pooled patients into the largest SNUC dataset to date. Fifteen centers were enrolled to contribute data, including seven from Europe, four from the United States, three from the United Kingdom, and one from Canada. In the absence of a universally accepted standard of care for SNUC, treatment approaches varied across countries and institutions, reflecting real-world clinical practice. Patients included were those with histologically confirmed SNUC who were treated between 1997 and 2021. Results: This study yielded 485 patients treated for SNUC. The median age at diagnosis was 55.6 years (IQR: 44.5–67.6), and 63.7% were male. Most cases presented at advanced stages, with 70.8% as T4a or T4b. Overall survival (OS) outcomes were available for 412 patients, with a median follow-up of 26.0 months. The 5- and 10-year OS were 47.2% (95% CI: 40.8–53.3%) and 39.6% (95% CI: 32.5–46.6%), respectively. Advanced age, dichotomized T-stage (T4a/b vs. T1–3), M-stage, and orbital involvement were significant poor prognostic factors on univariable analysis (p’s < 0.01). On multivariable analysis, orbital involvement (HR: 2.73, 95% CI: 1.42–5.27, p = 0.003) and distance metastasis stage (HR: 3.00, 95% CI: 1.25–7.21, p = 0.014) were both independently associated with worse OS. Conclusions: This observational study presents the largest multi-center cohort analysis of SNUC to date, providing new insights into prognostic factors for a rare cancer treated at global centers of excellence. Orbital involvement and the presence of metastases are candidate independent risk factors associated with poorer OS.
Factors Associated with Postoperative Complications Following Resection of Sinonasal Tumors: A NSQIP Analysis
Background: As the surgical repertoire for the management of sinonasal tumors evolves over time, an improved understanding of risks for postoperative complications is imperative. Objectives: To identify factors associated with 30-day postoperative complications following the resection of sinonasal tumors. Methods: The National Surgical Quality Improvement Program (NSQIP) database was queried from 2005 to 2020 for patients undergoing open or endoscopic surgical resection of sinonasal tumors. A Cox proportional hazards model was used to identify factors associated with postoperative complications. Kaplan–Meier survival analyses and log-rank tests were used to compare time to complication onset. Frailty was defined as a 5-factor modified frailty index score > 2. Results: Of the 859 patients with sinonasal tumors, 539 (62.7%) were male, and the average age (± SD) was 59.3 ± 14.1 years. Postoperative complications were observed in 251 (29.2%) patients. The most common 30-day complications were bleeding requiring transfusions (n = 172; 20.0%) and ventilation longer than 48 h (n = 37; 4.3%). Frailty (aHR [95% CI]: 3.58 [1.80–7.12]), malignancy (3.43 [1.59–7.38]), and maxillary tumor location (2.40 [1.86–3.09]) were associated with greater risk for 30-day postoperative complications. Similarly, patients with frailty (χ2 = 7.0; p = 0.008), malignant tumors (χ2 = 13.4; p < 0.001), or maxillary sinus tumors (χ2 = 34.6; p < 0.001) experienced earlier onset of postoperative complications. Conclusions: Frailty, malignancy status, and tumor location may modulate risk for 30-day postoperative complications following the resection of sinonasal tumors. These results may help to inform preoperative patient counseling and identify individuals at increased risk of postoperative complications.