Background: Endoscopic sinus surgery (ESS) has become the gold standard for treating patients with chronic rhinosinusitis (CRS) refractory to medical therapy. It is considered a relatively safe and effective procedure in all age groups, with overall success rates ranging from 76% to 97.5%. However, failure of primary endoscopic sinus surgery (PESS) occurs at a rate ranging from 2% to 24%. Patients who are still symptomatic after PESS and optimal medical therapy are candidates for revision endoscopic sinus surgery (RESS).
Objectives: to study the outcomes of ESS and assess the risk factors of recurrence of nasal polyps, as well as to compare the outcomes of PESS and RESS at a tertiary care teaching hospital.
Design: A retrospective cross-sectional study.
Methods: This study is conducted on patients with CRS with nasal polyps (CRSwNP) who underwent ESS at King Saud University Medical City (KSUMC) between May 2015 and December 2021. During this period, ESS was performed 470 times for CRSwNP. The Sinonasal Outcome Test 22 (SNOT-22) questionnaire, the Lund-Kennedy (LK) score, the Lund-MacKay (LM) score, and the polyp grading system were used to evaluate subjective and objective outcomes. They were scored preoperatively and from 6 to 12 months postoperatively.
Results: Out of the 470 endoscopic sinus surgeries, 321 (68.3%) were PESS and 149 (31.7%) were RESS. Asthma, aspirin sensitivity, and Samter's triad were observed more in the RESS group. The LK and LM scores were significantly different between primary and revision sinus surgeries, revealing that PESS patients had better postoperative LK and LM scores. The RESS patients had significantly worse postoperative SNOT-22 scores compared to PESS patients.
Conclusion: Lund-MacKay, Lund-Kennedy, and SNOT-22 scores improved after ESS for both primary and revision ESS patients, with better outcomes observed after PESS compared to RESS. The presence of asthma, aspirin sensitivity, Samter's Triad, high-grade nasal polyps, and older age were identified as risk factors for CRSwNP recurrence, which may require RESS.
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http://dx.doi.org/10.1177/27534030241274764 | DOI Listing |
Clin Case Rep
January 2025
Cancer Research Institute, IKHC Tehran University of Medical Sciences Tehran Iran.
PPT is a life-threatening intracranial complication, which is essential to be considered in both children and adults presenting with sinusitis symptoms.
View Article and Find Full Text PDFObjectives: To evaluate the otolaryngology surgical capacity in Harare, Zimbabwe by analyzing procedural volumes across four hospitals, one private and three public, from 2019 to 2022.
Methods: A retrospective review of hand-written surgical case logs was conducted at Harare Eye, Ear, Nose, and Throat Institute (HEENT), Parirenyatwa Group of Hospitals (PGH), Sally Mugabe Children's Hospital (SMCH), and Sally Mugabe Adult's Hospital (SMAH). Patient age and surgical intervention for all otolaryngology surgeries performed in the operating room from 2019 to 2022 were recorded.
BMJ Case Rep
January 2025
Critical Care Department, Finis Terrae University Faculty of Medicine, Santiago, Chile.
A patient in his 70s, admitted to the cardiac intensive care unit with cardiogenic shock, unexpectedly presented with nasal myiasis during a workup for persistently elevated inflammatory markers. CT scans revealed sinusitis and bronchial secretions, while bronchoscopy identified mucus with positive pathogen testing. Nasal endoscopy was crucial in diagnosing myiasis, and immediate mechanical removal of larvae was performed.
View Article and Find Full Text PDFInt Forum Allergy Rhinol
January 2025
Section of Otolaryngology-Head and Neck Surgery, Department of Surgery, The University of Chicago Medicine, Chicago, Illinois, USA.
Int Forum Allergy Rhinol
January 2025
Department of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, California, USA.
Background: We developed and assessed the performance of a machine learning model (MLM) to identify, classify, and segment sinonasal masses based on endoscopic appearance.
Methods: A convolutional neural network-based model was constructed from nasal endoscopy images from patients evaluated at an otolaryngology center between 2013 and 2024. Images were classified into four groups: normal endoscopy, nasal polyps, benign, and malignant tumors.
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