Medicine
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Samter triad is a chronic condition where patients suffer from intolerance to aspirin, recurring nasal polyposis and bronchial asthma. Causative treatment is often hard. Potential approaches are the daily intake of acetylsalicylic acid (ASA), shunting arachidonic acid into the lipoxygenase pathway, and a subsequent habituation to this constant inflammatory stimulus. ⋯ A considerable number of patients with Samter triad discontinued ASA desensitization, equally for ineffectiveness or side effects. If desensitization is to be effective, special care needs to be taken in respect to concomitant anti-asthmatic medication. Dupilumab is highly effective and safe in treating refractory patients.
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Observational Study
Prevalence and associated factors of disability in patients with chronic pain: An observational study.
The primary treatment goal of patients experiencing chronic pain has shifted from pain reduction to functional status improvement. However, the prevalence of disability and its associated factors in patients with chronic pain remain unknown. Individuals aged ≥50 years who visited the Pain Center at Nara Medical University with chronic pain from June 2019 to May 2020 were eligible for enrollment. ⋯ Of the 551 patients with a median age of 73 years, 51.5% experienced disability. Fixed factors such as age (odds ratio [OR], 1.03; 95% confidence interval [CI] 1.01-1.06, P = .002) and lumbar and lower limb pain (OR, 3.10; 95% CI, 1.83-5.24, P < .001) and some modifiable factors, including anxiety (OR, 2.06; 95% CI, 1.06-3.98, P = .03), depression (OR, 3.62; 95% CI, 1.92-6.82, P < .001), pain catastrophizer (OR, 2.94; 95% CI, 1.88-4.61, P < .001), numeric rating scale at the most painful site (OR, 1.29; 95% CI, 1.18-1.42, P < .001), exercise habits (walking (OR, 0.52; 95% CI, 0.33-0.83, P = .006) and working out (OR, 0.58; 95% CI, 0.34-0.99, P = .046), were found to be independently associated with disability. This cross-sectional study revealed a high prevalence of disability in patients with chronic pain and identified the factors associated with disability.
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Despite the anticipated growth in the global burden of obesity especially in low-income countries, limited data exist on the contribution of obesity to cardiometabolic diseases in Africa. We examined population-based samples of Kenyan adults who participated in the 2015 national chronic disease risk factor surveillance survey. Weight and height were measured, and body mass index (BMI) was calculated and used as a measure for general obesity. ⋯ Compared with adults of normal weight, individuals with a BMI of ≥30 kg/m2 had an odds ratio of 2.39 (95% confidence interval [CI], 1.82-3.12) for hypertension and 2.24 (95% CI, 1.70-2.96) for dyslipidemia. Obesity prevalence is high in Kenya and is associated with hypertension and dyslipidemia but not diabetes. Our findings indicate an urgent need to develop public health interventions to address obesity and prevent the development of comorbid conditions.
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Since lung nodules on computed tomography images can have different shapes, contours, textures or locations and may be attached to neighboring blood vessels or pleural surfaces, accurate segmentation is still challenging. In this study, we propose an accurate segmentation method based on an improved U-Net convolutional network for different types of lung nodules on computed tomography images. The first phase is to segment lung parenchyma and correct the lung contour by applying α-hull algorithm. ⋯ Our best result for Dice similar coefficient (0.8623) is also more competitive than other state-of-the-art segmentation algorithms. In order to segment different types of lung nodules accurately, we propose an improved U-Net network, which can improve the segmentation accuracy effectively. Moreover, this work also has practical value in helping radiologists segment lung nodules and diagnose lung cancer.
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There is no practical predictive model for the diagnosis of gastrointestinal stromal tumors (GISTs). To establish a practical predictive model for the diagnosis of subepithelial lesions in the stomach, we reviewed patients with GISTs (n = 89), schwannomas (n = 7), and leiomyomas (n = 28). The tumor was more frequently found along the gastric cardia in the leiomyoma group (57.1%) than in the GIST/schwannoma group (2.1%, P < .01). ⋯ We assigned 1 point to each feature. Tumors with scores of 2 to 4 were judged as GISTs/schwannomas, with 81.3% sensitivity and 92.9% specificity for GIST/schwannoma diagnosis. Our predictive model will be a practical guide for the management of gastric subepithelial lesions.