Cerebrovascular accident and essential and toxic metals: cluster analysis and principal component analysis.

Background: Cerebrovascular accidents are known as a great cause of morbidity and mortality worldwide. Although there are known risk factors for ischemic stroke, the cases that cannot be justified with these risk factors are increasing. Toxic metals as a potential risk factor for other diseases in humans are assessed in this study in the CVA group and compared to controls.

The relationship between healthy eating index and Mediterranean diet adherence score with inflammatory indices and disease severity: a case-control study of hospitalized COVID-19 patients.

Background: Recent studies have focused on the connection between nutrition, inflammation, and infectious diseases. This study was conducted to investigate the relationship between the Mediterranean diet adherence score (MDS) and the healthy eating index (HEI) with some clinical findings of patients with COVID-19.

Methods: This case-control study was conducted in 29 Bahman hospital of Tabriz, Iran, from June to December 2022.

Association between serum hypertriglyceridemia and hematological indices: data mining approaches.

Background: High triglyceride (TG) affects and is affected of other hematological factors. The determination of serum fasted triglycerides concentrations, as part of a lipid profile, is crucial key point in hematological factors and significantly affect various systemic diseases. This study was carried out to assess the potential relation between the concentration of TG and hematological factors.

Essential and toxic metal concentrations in biological samples of multiple sclerosis patients: A systematic review and meta-analysis.

The role of trace elements and toxic metals on human health has been extensively discussed concerning disease pathogenesis and risk factors of diseases. In this systematic review and meta-analysis, we aimed to investigate arsenic (As), cadmium (Cd), lead (Pb), iron (Fe), zinc (Zn), and magnesium (Mg) levels in individuals with multiple sclerosis (MS) and healthy controls. We searched different databases/search engines for this systematic review and meta-analysis, including Web of Science, PubMed, Scopus, and Google Scholar, until June 27, 2024.

Predicting high sensitivity C-reactive protein levels and their associations in a large population using decision tree and linear regression.

High-sensitivity C-reactive protein (hs-CRP) is a biomarker of inflammation predicting the incidence of different health pathologies. In this study, we aimed to evaluate the association between hematological and demographic factors with hs-CRP levels using decision tree (DT) and linear regression (LR) modeling. This study was conducted on a population of 9704 males and females aged 35 to 65 years recruited from the Mashhad Stroke and Heart Atherosclerotic Disorder (MASHAD) cohort study.