Publications by authors named "Denis Kazakiewicz"

This report from the European Society of Cardiology (ESC) Atlas Project updates and expands upon the 2021 report in presenting cardiovascular disease (CVD) statistics for the ESC member countries. This paper examines inequalities in cardiovascular healthcare and outcomes in ESC member countries utilizing mortality and risk factor data from the World Health Organization and the Global Burden of Disease study with additional economic data from the World Bank. Cardiovascular healthcare data were collected by questionnaire circulated to the national cardiac societies of ESC member countries.

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This Review provides an epidemiological overview of global mortality from acute coronary syndromes (ACS). Across the regions of the world where data are available, mortality from ACS - including premature (age <70 years) mortality from ACS - was higher in men than in women. In both sexes, age-standardized mortality rates (ASMRs) for ACS in 2020 were highest in lower-income global regions.

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Article Synopsis
  • This Review discusses the serious impact of cardiovascular disease (CVD) in the WHO European Region, highlighting it as the leading cause of death.
  • A significant concern is premature deaths (under 70 years), resulting in over 60 million lost years of life annually in Europe.
  • There are notable disparities in CVD-related health outcomes and data availability between countries, emphasizing the need for consistent monitoring and evidence-based prevention and treatment strategies to address these inequalities.
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Experimental designs such as matched-pair or longitudinal studies yield mRNA sequencing (mRNA-Seq) counts that are correlated across samples. Most of the approaches for the analysis of correlated mRNA-Seq data are restricted to a specific design and/or balanced data only (with the same number of samples in each group). We propose a model that is applicable to the analysis of correlated mRNA-Seq data of different types: paired, clustered, longitudinal, or others.

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Objective: Whole-cell (WC) modeling is a promising tool for biological research, bioengineering, and medicine. However, substantial work remains to create accurate comprehensive models of complex cells.

Methods: We organized the 2015 Whole-Cell Modeling Summer School to teach WC modeling and evaluate the need for new WC modeling standards and software by recoding a recently published WC model in the Systems Biology Markup Language.

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Bacteria are increasingly resistant to existing antibiotics, which target a narrow range of pathways. New methods are needed to identify targets, including repositioning targets among distantly related species. We developed a novel combination of systems and structural modeling and bioinformatics to reposition known antibiotics and targets to new species.

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