Journal of internal medicine
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In this multi-professional review, we will provide the in-depth knowledge required to work in the expanding field of obesity treatment. The prevalence of obesity has doubled in adults and quadrupled in children over the last three decades. The most common treatment offered has been lifestyle treatment, which has a modest or little long-term effect. ⋯ Furthermore, we discuss common clinical challenges, such as patients with concurrent eating disorder or mental health problems, and treatment in the older adults. We also provide recommendations on how to deal with obesity in a non-stigmatizing way to diminish weight stigma during treatment. Finally, we present six microcases-obesity treatment for persons with neuropsychiatric disorders and/or intellectual disability; obesity treatment in the nonresponsive patient who has "tried everything"; and hypoglycemia, abdominal pain, and weight regain after metabolic surgery-to highlight common problems in weight-loss treatment and provide personalized treatment suggestions.
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Cleavage products from collagen formation and degradation hold potential as first-line biomarkers for the risk of advanced fibrosis in patients with metabolic dysfunction-associated steatotic liver disease (MASLD). Here, we evaluated the performance of PRO-C3, PRO-C6, C4M, PRO-C18L, and the clinical score ADAPT (age, diabetes, PRO-C3, and platelet count) to detect patients with an LSM >8 kPa or >12 kPa in comparison to the Fibrosis-4 Index (FIB-4). ⋯ ADAPT seems to be marginally better than FIB-4 in identifying patients with an LSM >8 kPa. However, the clinical utility of ADAPT as a first line test is uncertain, especially in low-risk populations. The overall performance of FIB-4 was similar to that of ADAPT in detecting patients with an LSM of >12 kPa. Altogether, the results suggest that ADAPT might be useful to detect earlier stages of fibrosis in MASLD, but that FIB-4 remains a first-line test for advanced fibrosis.
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Our study aimed to investigate the distinct clinical patterns of seronegative IgG4-related disease (IgG4-RD) patients. ⋯ Distinct clinical features and multiple risk factors for disease relapse of seronegative IgG4-RD patients have been revealed in this study. A nomogram model was constructed to effectively predict disease relapse during the follow-up period.