Medicine
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Observational Study
Risk factors for falls in older adults with type 2 diabetes: A cross-sectional study.
The study was to estimate the prevalence of falls with type 2 diabetes (T2D) and investigate the associated risk factors. The study design employed was cross-sectional. The participants for this study were recruited from a community-based diabetes specialist clinic. ⋯ After adjusting for confounding, showed each additional unit on the depression score increases the fall risk by 11.9% (AOR, 1.19; 95% CI, 1.02-1.38, P = .027). Depression was a significant factor for falls in older adults with T2D. The study highlights the importance of targeted, multifaceted clinical interventions focusing on gender, age, and mental health to effectively reduce fall probability and improve the quality of life for the older adults.
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Rheumatoid arthritis (RA) is a chronic autoimmune disease that significantly impacts the quality of life of affected individuals. Observational data have consistently pointed towards an associative relationship between cathepsins and the development of RA. Nonetheless, the establishment of a definitive causal nexus between members of the cathepsin family and the pathogenesis of RA remains elusive. ⋯ Forward MR analyses substantiated a significant genetic correlation between the genetically predicted levels of Cathepsin B and the predisposition to RA, elevated levels of Cathepsin B exhibit a significant association with an increased risk of RA (OR = 1.0727, 95% CI: 1.0171-1.1314, P = .0098). In the reverse MR and multivariable MR analyses, no significant causal relationship was identified between cathepsins and RA. The findings suggest that Cathepsin B may serve as a biomarker for RA, thereby offering significant implications for the advancement of diagnostic and therapeutic strategies in the management of RA.
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Observational Study
Predictors of active and recurrent bleeding in upper gastrointestinal angiodysplasia: Results from 10-year esophagogastroduodenoscopy of a tertiary center in Taiwan.
Upper gastrointestinal angiodysplasia (UGIA) is a unique mucosal vascular lesion that causes acute or recurrent gastrointestinal bleeding. Despite the increasing incidence of UGIA, the risk factors for bleeding in this condition remain unclear. We investigated the predictors of active and recurrent bleeding among patients with UGIA. ⋯ Multivariate analysis identified diabetes mellitus (DM), chronic kidney disease (CKD), and lesions in the duodenum as significant risk factors for active bleeding (P = .019; P = .006; P = .004). Our cohort study provided real-world data on the clinical and endoscopic features of UGIA. DM, CKD, and lesions in the duodenum were independent predictors of active bleeding.
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Atopic dermatitis (AD) is a prevalent inflammatory skin condition that commonly occurs in children. More and more scientific evidence suggests that gut microbiota plays an important role in the pathogenesis of AD, whereas there is no article providing a comprehensive summary and analysis. We aimed to analyze documents on AD and gut microbiota and identify hotspots and development trends in this field. ⋯ We highlighted that gut microbiota may exacerbate symptoms of AD through various aspects, including immunity, metabolites, and neuroendocrine pathways. More efforts are required to investigate the safety and efficacy of gut microbial management methods for the prevention and treatment of AD.
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Hepatocellular carcinoma (HCC) is among the most prevalent malignant tumors, but the current staging system has limited efficacy in predicting HCC prognosis. The authors sought to develop and validate a nomogram model for predicting overall survival (OS) in HCC patients primarily undergoing surgery or loco-regional therapy. Patients diagnosed with HCC from January 2017 to June 2023 were enrolled in the study. ⋯ ROC curves, calibration plots, and DCA curves all indicated satisfactory performance of the nomogram. Kaplan-Meier curve analysis showed a significant difference in prognosis between patients in the low- and high- risk groups. This nomogram provides precise survival predictions for HCC patients and helps identify individuals with varying prognostic risks, emphasizing the need for individualized follow-up and treatment plans.