Annals of medicine
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The construction of a robust healthcare information system is fundamental to enhancing countries' capabilities in the surveillance and control of hepatitis B virus (HBV). Making use of China's rapidly expanding primary healthcare system, this innovative approach using big data and machine learning (ML) could help towards the World Health Organization's (WHO) HBV infection elimination goals of reaching 90% diagnosis and treatment rates by 2030. We aimed to develop and validate HBV detection models using routine clinical data to improve the detection of HBV and support the development of effective interventions to mitigate the impact of this disease in China. ⋯ Suspected case detection models of HBV, showing potential for clinical deployment, have been developed to improve HBV surveillance in primary care setting in China. (Word count: 264).
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Obesity is an important health concern that poses many public health challenges. Evidence-based treatment modalities, capable of cost-effectively reaching large patient groups are needed. In this paper, we present the design and methods of the updated national, 12-month, digital weight management program, the Healthy Weight Coaching (HWC). ⋯ In addition, patients can make use of diaries and peer group chats for additional support. Data collected from the consenting patients will be used for research purposes with the weight change from baseline to 12 months as the main outcome in the real-life observational study. The study will provide invaluable insights into the application of digital modalities in the treatment of obesity.
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Vaccination hesitancy is an important barrier to vaccination among IBD patients. The development of adverse events is the main concern reported. The purpose of this monocentric study was to assess SARS-CoV-2 vaccination safety in IBD patients by evaluating the postvaccination flare risk and incidence of overall adverse events. ⋯ SARS-CoV-2 vaccination with mRNA vaccines seems safe, with mostly mild side effects. The IBD flare risk is not increased in the month following any vaccination.
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This study aims to validate the efficacy of the conventional non-invasive score in predicting significant fibrosis in metabolic-associated fatty liver disease (MAFLD) and to develop a non-invasive prediction model for MAFLD. ⋯ APRI, FIB-4, and NFS performed poorly predicting significant fibrosis in patients with MAFLD. The new model demonstrated improved diagnostic accuracy and clinical applicability in identifying significant fibrosis in MAFLD.
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This retrospective study aimed to evaluate the prognostic value of [18F]FDG parameters in patients with visceral and bone metastatic hormone-sensitive prostate cancer (mHSPC). ⋯ In mHSPC patients, higher [18F]FDG uptake in metastatic lesions indicates shorter survival and increased risk of disease progression. The [18F]FDG SUVmax in primary tumors did not show significant prognostic value. Our study underscores the unique prognostic potential of [18F]FDG PET/CT in mHSPC patients, highlighting its importance in the management of both bone and visceral metastases.