Objective: It is widely believed that a high percentage of normal, healthy patients without sinusitis symptoms have abnormal findings on sinus CT. Experiences of the authors of this study suggest otherwise.
Study Design: Cross-sectional survey.
Subjects And Methods: Head/sinus CT scans of 50 consecutive patients from each of three study groups were reviewed. Group 1 consisted of patients without any sinus symptoms. Group 2 consisted of patients with acute headache symptoms. Group 3 consisted of patients with complaints consistent with chronic sinusitis. CT scans were evaluated with the Lund-Mackay scoring system.
Results: In the asymptomatic patient group (group 1), six (3%) patients had positive sinus CT scan findings, compared with 11 (5.5%) in the acutely symptomatic group (group 2), and 32 (64%) in the chronically symptomatic group (group 3). In the chronically symptomatic group (group 3), 64 percent of patients were allergic compared with 18% of the acute headache group (group 2) and 8 percent of the asymptomatic patient group (group 1).
Conclusion: Results of this study suggest that symptomatic sinus patients are much more likely to have positive sinus CT scan findings than asymptomatic patients. Conversely, normal healthy patients should not be expected to have abnormal sinus CT scans.
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http://dx.doi.org/10.1016/j.otohns.2008.12.007 | DOI Listing |
J Eval Clin Pract
February 2025
Akşehir Kadir Yallagöz Health School, Selcuk University, Konya, Türkiye.
Aim: The purpose of this study is to compare the efficacy of an artificial intelligence (AI)-based care plan learning strategy with standard training techniques in order to determine how it affects nursing students' learning results in newborn resuscitation.
Methods: Seventy third-year nursing students from a state university in Türkiye participated in the study. They were split into two groups: the experimental group, which received care plans based on AI, and the control group, which received traditional instruction.
Network
December 2024
Department of Electronics and Communication Engineering, Dronacharya Group of Institutions, Greater Noida, UP, India.
Speaker verification in text-dependent scenarios is critical for high-security applications but faces challenges such as voice quality variations, linguistic diversity, and gender-related pitch differences, which affect authentication accuracy. This paper introduces a Gender-Aware Siamese-Triplet Network-Deep Neural Network (ST-DNN) architecture to address these challenges. The Gender-Aware Network utilizes Convolutional 2D layers with ReLU activation for initial feature extraction, followed by multi-fusion dense skip connections and batch normalization to integrate features across different depths, enhancing discrimination between male and female speakers.
View Article and Find Full Text PDFJ Eval Clin Pract
February 2025
Department of Obstetrics and Gynecology, Radboud University Medical Center, Nijmegen, The Netherlands.
Rationale: Chronic pelvic pain syndrome (CPPS) is prevalent and a complex multifactorial condition. The incidence is rising. CPPS patients may benefit from multidisciplinary care in a structured care pathway.
View Article and Find Full Text PDFJ Eval Clin Pract
February 2025
Instituto Mexicano del Seguro Social, IMSS Hospital General de Zona Número 17, Monterrey, Nuevo León, México.
Introduction: Rheumatoid arthritis (RA) is a progressive autoimmune inflammatory disease. According to the European League Against Rheumatism (EULAR), the stages of RA progression include pre-RA, preclinical RA, inflammatory arthralgia, arthralgia with positive antibodies, arthralgia suspected of progressing to RA, undifferentiated arthritis and finally established RA. According to the Community Oriented Program for Control of Rheumatic Diseases (COPCORD), the prevalence of RA in Mexico is 1.
View Article and Find Full Text PDFAIDS Care
December 2024
School of Public Health, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya.
Objective measures of oral PrEP adherence - especially point-of-care (POC) measures that enable real-time assessment, intervention, and feedback - have the potential to improve adherence. Our team previously developed and validated a novel urine-based POC metric of PrEP adherence. In this study, we sought to determine whether this assay is acceptable and feasible among women taking PrEP and PrEP providers in Kenya.
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