Medicine
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This study aimed to develop and validate a prognostic model for elderly patients with differentiated thyroid carcinoma (DTC) based on various demographic and clinical parameters in order to accurately predict patient outcomes. Patients who were diagnosed with DTC and were over 55 years old between 2010 and 2019 were identified from the Surveillance, Epidemiology, and End Results database. The patients were then randomly divided into a training set and a validation set in a 7:3 ratio, and patients from our center were included as an external validation group. ⋯ Using these predictors, nomograms were constructed to estimate the probability of overall survival and cancer specific survival. The nomograms demonstrated a high level of predictive accuracy, as evidenced by the concordance index, and the calibration plots indicated that the predicted outcomes were consistent with the actual outcomes. Furthermore, the decision curve analysis demonstrated that the nomograms provided substantial clinical net benefit, indicating their utility in clinical practice.
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Many studies have shown that myocardial infarction (MI) is significantly associated with atrial fibrillation (AF), but the causal relationship between MI and AF has not been established. Therefore, we performed this Mendelian randomization (MR) study to investigate the relationship between MI and AF. We used a publicly available summary statistical dataset for MI based on genome-wide analysis studies (GWAS; ebi-a-GCST011364; 14,825 cases and 2680 controls) and a summary statistical dataset for AF based on an European GWAS (finn-b-I9_AF_REIMB; 10,516 cases and 116,926 controls). ⋯ Furthermore, in the reverse MR analyses, the causal effect of AF on MI was analyzed using 20 AF-specific SNPs that were screened as IVs. The causal effect of AF on MI was significant based on the results from the IVW method (OR: 1.05; 95% CI: 1.00-1.09; P = .033). In conclusion, the bidirectional MR analyses demonstrated a clear bidirectional causal association between MI and AF.
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Colorectal cancer (CRC) is a significant global public health concern. Several observational studies have examined the association between inflammatory cytokines and the risk of colorectal cancer, but the findings have been inconsistent. In this study, we employed a 2-sample Mendelian randomization (MR) analysis, primarily using the inverse variance weighted approach, to investigate the causal relationship between inflammatory cytokines and CRC. ⋯ Additionally, colon cancer is associated with elevated levels of FGF-Basic (OR: 1.10, P = .028). Consistent results were also found in MR-Egger, weighted median, and weighted mode analysis. Our study presents novel evidence supporting the causal relationship between inflammatory cytokines and CRC.
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Observational Study
Generalized additive mixed model to evaluate the association between ventilatory ratio and mortality in patients: A retrospective cohort study.
Previous studies have indicated that a higher ventilatory ratio (VR) is associated with mortality. However, it is unknown whether dynamic changes in VR over time affect the prognosis of critically ill patients. This study aims to investigate the significance of VR during the progression of the disease in critically ill patients. ⋯ The generalized additive mixed model results highlighted that the difference in VR between survivors and non-survivors increased by an average of 0.01 per day after adjusting for several covariates. In conclusion, VR dynamically mirrors pathophysiological changes in critically ill patients and its escalation is linked to higher mortality rates. Monitoring VR's dynamic shifts might offer more immediate prognostic information, thus aiding in timely interventions and risk stratification.
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In response to global health challenges, implementing innovative educational strategies is crucial for preparing public health professionals with the required skills. This study employed CiteSpace and VOSviewer to visually analyze 3 decades of research on virtual simulation technology in public health education and training. The visual knowledge map created aimed to uncover the research trends, key areas of interest, and emerging frontiers in this domain. ⋯ This study presents the inaugural comprehensive analysis of global trends, hotspots, frontiers, and advancements in the implementation of virtual simulation technology in public health education and training, utilizing CiteSpace and VOSviewer software. The research findings reveal a significant surge in publications since 2019, with a particular emphasis on disaster medicine, telehealth, and virtual reality, indicating the versatility and promise of virtual simulation in the changing educational environments. These findings emphasize the significance of virtual simulation as a dynamic and progressive tool in public health education, proposing a promising direction for future research and practical applications.