Brit J Hosp Med
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Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) are emerging as an important class of drugs in the management of Type 2 Diabetes Mellitus (T2DM) and obesity. There are rising concerns of pulmonary aspiration with these medications due to drug-induced gastroparesis. While definitive association is uncertain, it is essential to be prudent and manage these patients as per the current evidence and recommendations.
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Aims/Background A novel exercise protocol for cardiac rehabilitation aerobic (CRA) has been developed by Hebei Sport University, demonstrating efficacy in patients with coronary heart disease (CHD). The objective of this study was to evaluate the impact of CRA on precise cardiac rehabilitation (CR) for CHD patients presenting with stable angina pectoris. Methods The study cohort comprised patients with stable angina who were categorized into three groups: the CRA group (n = 35), the power bicycles (PB) group (n = 34), and the control group (n = 43). ⋯ Conclusion Both CRA and PB exercises are safe and effective for achieving precise CR in patients with CHD. A 12-week CRA intervention, conducted three times per week for 30 minutes per session, significantly improves cardiopulmonary function and biochemical makers in patients with stable angina. These improvements are comparable to those achieved through PB exercise in precise CR.
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Aims/Background Gestational diabetes mellitus (GDM) is a common complication during pregnancy. This retrospective study investigates the correlation between umbilical blood flow index and maternal-fetal outcomes in pregnant women with GDM, aiming to contribute to evidence-based risk assessment and management strategy in this high-risk obstetric population. Methods This retrospective study recruited 119 pregnant women with GDM who were admitted to the Yichang Central People's Hospital, between January 2022 and January 2024. ⋯ Furthermore, significant differences were observed in fetal biometric parameters and placental morphology between the two groups (fetal weight: p = 0.003; estimated fetal weight percentile: p = 0.017; femur length: p = 0.018; placental weight: p = 0.019; placental volume: p = 0.021). Additionally, correlation analyses indicated significant associations between umbilical blood flow index and maternal and fetal outcomes (p < 0.05). Conclusion We observed a significant correlation between umbilical blood flow indices and maternal and fetal outcomes in pregnant women with gestational diabetes mellitus, implying its utility as a non-invasive parameter for risk stratification and personalized management in this high-risk obstetric population.
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Aims/Background The background for establishing and verifying a dehydration prediction model for elderly patients with post-stroke dysphagia (PSD) based on General Utility for Latent Process (GULP) is as follows: For elderly patients with PSD, GULP technology is utilized to build a dehydration prediction model. This aims to improve the accuracy of dehydration risk assessment and provide clinical intervention, thereby offering a scientific basis and enhancing patient prognosis. This research highlights the innovative application of GULP technology in constructing complex medical prediction models and addresses the special health needs of elderly stroke patients. ⋯ In the validation set, the AUC was 0.867 with a standard error of 0.025 and a 95% CI of 0.694 to 0.934. The optimal cutoff value here was 0.66, with a sensitivity of 80.16% and a specificity of 85.94%. Conclusion This study successfully established and validated a GULP-based dehydration prediction model for elderly patients with dysphagia following a stroke, demonstrating high application value.
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Aims/Background Hypertension (HT) is a prevalent medical condition showing an increasing incidence rate in various populations over recent years. Long-term hypertension increases the risk of the occurrence of hypertensive nephropathy (HTN), which is also a health-threatening disorder. Given that very little is known about the pathogenesis of HTN, this study was designed to identify disease biomarkers, which enable early diagnosis of the disease, through the utilization of high-throughput untargeted metabolomics strategies. ⋯ LASSO regression analysis results indicated that 4-hydroxyphenylacetic acid, bilirubin, uracil, and iminodiacetic acid are potential biomarkers for HTN or HT. Conclusion With untargeted metabolomics analysis, we successfully identified differential metabolites in HTN. A further LASSO regression analysis revealed that four key metabolites, namely 4-hydroxyphenylacetic acid, bilirubin, uracil, and iminodiacetic acid, hold promise for the diagnosis of early-stage HTN.