Dietary intake of potassium, vitamin E, and vitamin C emerges as the most significant predictors of cardiovascular disease risk in adults.

Prediction models were developed to assess the risk of cardiovascular disease (CVD) based on micronutrient intake, utilizing data from 90,167 UK Biobank participants. Four machine learning models were employed to predict CVD risk, with performance evaluation metrics including area under the receiver operating characteristic curve (AUC), accuracy, recall, specificity, and F1-score. The eXtreme Gradient Boosting (XGBoost) model was utilized to rank the importance of 11 micronutrients in cardiovascular health.

COVID-19 related acute necrotizing encephalopathy and acute myocarditis in an adult female: a novel case report of brain injury and myocarditis.

Background: Acute necrotizing encephalopathy (ANE) and myocarditis are both acute, life-threatening conditions that can be triggered by COVID-19. We report a case of sequential ANE and myocarditis following a COVID-19 infection.

Case Presentation: A 27-year-old female patient was brought to the emergency department due to episodes of fever for two days and a 9-h altered state of consciousness.

Type 2 diabetes attributable to ambient particulate matter pollution: a global burden study from 1990 to 2019.

Background: This study assesses the changes over time and geographical locations in the disease burden of type 2 diabetes (T2D) attributed to ambient particulate matter pollution (APMP) from 1990 to 2019 in 204 countries and regions with different socio-demographic indexes (SDI).

Methods: The Global Burden of Diseases Study 2019 (GBD2019) database was used to analyze the global burden of T2D attributed to APMP. This study evaluated both the age-standardized death rate (ASDR) and disability-adjusted life years (DALYs) related to T2D, comparing data from 1990 to 2019.

Proteomic advance of ischemic stroke: preclinical, clinical, and intervention.

Ischemic stroke (IS) is the most common type of stroke and is characterized by high rates of mortality and long-term injury. The prediction and early diagnosis of IS are therefore crucial for optimal clinical intervention. Proteomics has provided important techniques for exploring protein markers associated with IS, but there has been no systematic evaluation and review of research that has used these techniques.