Medicine
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Deep vein thrombosis (DVT) is a serious condition characterized by blood clots in deep veins, posing a significant public health burden. Muscle strength has been implicated as a potential risk factor for DVT due to its influence on venous return. This study aims to investigate the causal association between muscle strength and DVT using a Mendelian randomization (MR) approach, leveraging genetic variants as instrumental variables (IVs). ⋯ The MR analysis provided evidence of a causal association between muscle strength and DVT risk, suggesting that increasing muscle strength may have a protective effect. These findings have implications for preventive strategies and the promotion of resistance exercises and muscle-strengthening activities. Further research and validation of these results could inform clinical guidelines and interventions for DVT prevention.
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Locally advanced cervical carcinoma (LACC) remains a significant global health challenge owing to its high recurrence rates and poor outcomes, despite current treatments. This study aimed to develop a comprehensive risk stratification model for LACC by integrating Cox regression and competing risk analyses. This was done to improve clinical decision making. ⋯ Calibration plots and decision curve analyses further validated the clinical utility of this nomogram. We present effective nomograms for LACC risk stratification that incorporate multiple prognostic factors. These models provide a refined approach for individualized patient management and have the potential to significantly enhance therapeutic strategies for LACC.
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We aimed to assess the worldwide burden of ischemic stroke (IS) associated with high body mass index (BMI) using data from the Global Burden of Disease 2019. This study examined the impact of high BMI on IS-related age-standardized death rates (ASDR) and disability-adjusted life years (DALYs). Estimated annual percentage changes (EAPC) is estimated annual percentage change. ⋯ This study reveals a consistent global decline in IS related to high BMI, with a more significant burden observed in males under the age of 65, particularly in Southeast Asia, where increases in IS associated with high BMI are notable. Public health officials and global policymakers need timely and reliable quantitative data. This information is essential for implementing effective behavioral interventions, such as monitoring diet and physical activity, to address identified risk factors and reduce the burden of high BMI.
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This study aims to investigate the potential causal relationship between cerebrospinal fluid (CSF) metabolites and Guillain-Barré syndrome (GBS) using a bidirectional two-sample Mendelian randomization (MR) approach. Publicly available summary data from genome-wide association studies (GWAS) were utilized for comprehensive analysis. The CSF metabolite GWAS summary data were extracted from a GWAS conducted by Panyard et al encompassing 338 CSF metabolites in European participants (n = 291). ⋯ No evidence of heterogeneity or horizontal pleiotropy was found in the MR analysis. Our findings suggest that the identified CSF metabolites and metabolic pathways can serve as valuable biomarkers for clinical screening and prevention of GBS. They may also be considered as candidate molecules for future research into the underlying mechanisms and for selecting drug targets.
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Observational Study
Survey of fear and compliance of Insulin Degludec and Insulin Aspart injection in type 2 diabetes mellitus patients and analysis of influencing factors.
This study aims to investigate the fear and compliance of Insulin Degludec and Insulin Aspart (IDegAsp) injection in type 2 diabetes mellitus (T2DM) patients and study the factors influencing patient compliance. A total of 120 patients with T2DM treated from February 2019 to March 2022 were investigated and analyzed for fear and compliance on the Diabetes Fear of Injecting and Self-testing Questionnaire of diabetic patients and were divided into compliance and noncompliance groups according to the results to analyze the factors affecting patient compliance. The study found a high level of fear of IDegAsp injection among the 120 T2DM patients, with an average Diabetes Fear of Injecting and Self-testing Questionnaire score of (39.19 ± 4.59) points. ⋯ Multifactorial analysis showed that educational level, disease duration, complications, cognitive level, self-efficacy level, comorbidity count, and living status all affected patient compliance (P < .05). Educational level, disease duration, complications, cognitive level, self-efficacy level, comorbidity count, and living status are important factors affecting the fear and treatment compliance of IDegAsp injection in T2DM patients. These findings have implications for improving patient compliance and alleviating treatment fear.