Design and methods: A cross-sectional study was conducted on 220 ears diagnosed as having CSOM with an equal number of tinnitus and without tinnitus groups. Only those with normal cochlear function based on conventional pure tone audiometry (250 Hz to 8 kHz) were included. They were further tested for hearing at extended high frequencies of up to 16 kHz. The severity of tinnitus was tested using a tinnitus questionnaire.

METHODS: Two different techniques were used, performance and science mapping analyses, using as samples all the available documents regarding tissue engineering focused on otorhinolaryngology applications. The dataset was retrieved from the Core Collection of the Web of Science database from 1900 to 2020. Social structure was analyzed using science mapping analysis with VOSviewer software.

RESULTS: The United States was the main producer, followed by Germany, and Japan. Malaysia and Germany had the highest Relative Specialization Index, indicating their greater relative interest in this area compared to other countries. The social structure analysis showed that the United States and Germany had significant co-authorship relationships with other countries. The University of California System, Kyoto University, and Harvard University were the leading institutions producing literature in this field. These latter two institutions showed the largest number of collaborations, although most of them were with institutions within their own country. There was a lack of connections between different communities of research.

METHODS: This cross-sectional study involved 91 ear swab specimens obtained from patients clinically diagnosed with active CSOM. Swabs were cultured for microbial identification according to a standard protocol. We performed antibiotic susceptibility testing, using the modified Kirby-Bauer disc diffusion method, and the diameter of the inhibition zone was interpreted based Clinical Laboratory Standards Institute guidelines.

RESULTS: Microbial growth was seen in 85 (93.4%) samples, but 6 (6.6%) samples had no growth. Among the samples with growth, 63 (69.2%) were monomicrobial, 13 (14.3%) were polymicrobial, and 9 (9.9%) were of mixed growth with more than three microorganisms. The most common bacteria isolated was Pseudomonas aeruginosa (32.6%) followed by Staphylococcus aureus (16.9%) and Klebsiella spp. (5.6%). The most sensitive antibiotics against P aeruginosa were ceftazidime, meropenem, piperacillin-tazobactam, and cefepime. S aureus showed the highest sensitivity toward rifampin, cefoxitin, and fusidic acid.

METHODS: To develop this tool, published literature on assessment tools was searched on various databases. A panel of 12 steering committee members conducted an advisory board meeting to review the findings. Specific outcome measures to be included in a comprehensive assessment tool and follow-up sheet were then collated following consensus approval from the panel. The tool was further validated for content and revised with expert recommendations to arrive at the finalized Nasal Polyp Patient Assessment Scoring Sheet (N-PASS) tool.

RESULTS: The N-PASS tool was developed by integrating the subjective and objective measures for CRS assessment. Based on expert opinions, N-PASS was revised to be used as an easy-to-use guidance tool that captures patient-reported and physician-assessed components for comprehensively assessing disease status and response to treatment.

CONCLUSION: The N-PASS tool can be used to aid in the diagnosis and management of CRS cases with nasal polyps. The tool would also aid in improved monitoring of patients and pave the way for an international disease registry.