Brit J Hosp Med
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Aims/Background We aimed to investigate the impact of postoperative chemotherapy (POCT) on survival in patients with primary central nervous system lymphoma (PCNSL) using data from the Surveillance, Epidemiology, and End Results (SEER) database. Methods This study included 786 PCNSL patients, of which 605 received chemotherapy after surgery, and 181 did not. Data from the SEER registry database (2007-2020) were used to analyze PCNSL. ⋯ For patients with PCNSL, those with tumours located in the infratentorial region (HR = 0.231; 95% CI: 0.078-0.682; p = 0.046), supratentorial region (HR = 0.250; 95% CI: 0.163-0.383; p < 0.0001), overlapping brain regions (HR = 0.201; 95% CI: 0.056-0.727; p = 0.0058), and those who underwent biopsy (HR = 0.740; 95% CI: 0.463-1.182; p = 0.003), subtotal resection (STR) (HR = 0.490; 95% CI: 0.265-0.906; p = 0.0064), or gross total resection (GTR) (HR = 0.613; 95% CI: 0.292-1.287; p = 0.0003) had better prognoses in the postoperative chemotherapy group compared to the non-chemotherapy group. Conclusion POCT significantly improves the prognosis of PCNSL patients and identifies the characteristics of the benefiting population. This information aids clinical practitioners in designing personalized treatment plans for individuals and advancing precise treatment.
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Aims/Background In light of the increased utilization of digital technology among the elderly population, understanding the relationship between e-health literacy, self-identity, social capital, and educational participation motivation has become crucial. This study aims to investigate these relationships and explore the mediating effects of self-identity and social capital on the elderly population. By shedding light on these aspects, the study seeks to contribute to the existing knowledge base and inform intervention strategies to enhance the elderly individuals' overall well-being and engagement with digital health resources. ⋯ Specifically, self-identity and social capital acted as complete mediators, with a mediating effect value of 0.61, between e-health literacy and educational participation motivation. Additionally, the chained mediating effect of self-identity and social capital was also significant. Conclusion This study demonstrated that e-health literacy and educational participation motivation are closely intertwined, with self-identity and social capital acting as the mediators in this association, in the elderly population, providing valuable guidance for enhancing the health and quality of life and offering insightful references for the development and implementation of relevant policies.
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Aims/Background Establishing an intraosseous infusion (IO) pathway can rapidly open an urgent route of drug administration for critically ill patients. This study aims to assess different puncture sites on the efficacy of manual intraosseous infusion. Methods Upon applying computed tomography (CT), we compared compact bone thickness and CT values at the same individual's proximal humerus and proximal tibia puncture sites (n = 40). ⋯ Results The compact bone thickness and CT values at the proximal humerus were significantly lower than those at the proximal tibia. The cadaveric experiments further confirmed that the proximal humerus was superior to the proximal tibia as an insertion site, indicating the proximal humerus is a more suitable insertion site for manual bone marrow puncture needles. Conclusion Selection of the puncture site markedly influences the effectiveness of manual intraosseous infusion, with the proximal humerus potentially offering better puncture efficacy than the proximal tibia.
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Aims/Background Immunohistochemistry (IHC) is the main method to detect human epidermal growth factor receptor 2 (Her-2) and Ki-67 expression levels. However, IHC is invasive and cannot reflect their expression status in real-time. This study aimed to build radiomics models based on visceral adipose tissue (VAT)'s 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography/computed tomography (PET/CT) imaging, and to evaluate the relationship between radiomics features of VAT and positive expression of Her-2 and Ki-67 in gastric cancer (GC). ⋯ Three wavelet transform features were correlated with Her-2 expression status (p all < 0.001), and one wavelet transform feature was correlated with the expression status of Ki-67 (p = 0.042). Conclusion 18F-FDG PET/CT-based radiomics models of VAT demonstrate good performance in predicting Her-2 and Ki-67 expression status in patients with GC. Radiomics features can be used as imaging biomarkers for GC.
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Aims/Background To investigate the application value of a machine learning model in predicting mild depression associated with migraine without aura (MwoA). Methods 178 patients with MwoA admitted to the Department of Neurology of the First Affiliated Hospital of Anhui University of Traditional Chinese Medicine from March 2022 to March 2024 were selected as subjects. According to their inpatient medical records, 38 patients were selected as the validation group by random number method, and the remaining 140 patients were included in the modelling group. ⋯ The receiver operating characteristic (ROC) analysis results showed that the area under the curve of the established prediction model for MwoA patients with mild depression in the modelling group and the validation group was 0.982 and 0.901, respectively, the sensitivity was 0.978 and 0.857, respectively, and the specificity was 0.892 and 0.929, respectively. Conclusion Gender, course of disease, seizure frequency, headache duration, MIDAS score, and HIT-6 score are independent influencing factors for mild depression in patients with MwoA. The model displays good performance for the prediction of mild depression in patients with MwoA.