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Cost of cardiovascular diseases in Serbia
(Elsevier Inc., 2012)
OBJECTIVES: Cardiovascular diseases (CVDs) imposes a burden to society in terms’
of mortality, morbidity and economic losses. The aim of this study was to estimate
the cost of CVDs in Serbia in 2009 from the perspective ...
Discovery of 1-Benzhydryl-Piperazine-Based HDAC Inhibitors with Anti-Breast Cancer Activity: Synthesis, Molecular Modeling, In Vitro and In Vivo Biological Evaluation
(MDPI, 2022)
Isoform-selective histone deacetylase (HDAC) inhibition is promoted as a rational strategy to develop safer anti-cancer drugs compared to non-selective HDAC inhibitors. Despite this presumed benefit, considerably more ...
Intrastriatal pre-treatment with L-NAME protects rats from diquat neurotoxcity
(Inst Agricultural Medicine, Lublin, 2012)
Introduction: Contact herbicide diquat (DQ), redox cycling compound, mediates its systemic toxicity throughout the enlarged production of free radicals. Target organs are liver and kidney in humans. To-date, the mechanism ...
The importance of biomarkers of joint damage in monitoring the efficacy of different prophylaxis regimens for severe haemophilia A
(Elsevier Inc, 2013)
Background: Haemophilic arthropathy, with characteristic joint dam-
age, is the main cause of morbidity in individuals with severe haemo-
philia A. The most important clinical strategy for management of
these patients ...
Associations of Common Variants in HFE and TMPRSS6 Genes with Hepcidin-25 and Iron Status Parameters in Patients with End-Stage Renal Disease
(Hindawi Ltd, London, 2019)
Background. Influence of TMPRSS6 A736V and HFE (C282Y and H63D) polymorphisms on serum hepcidin-25 levels and iron status parameters in end-stage renal disease (ESRD) patients stratified according to gender has not been ...
A machine learning-based risk stratification model for ventricular tachycardia and heart failure in hypertrophic cardiomyopathy
(Elsevier Ltd, 2021)
Background: Machine learning (ML) and artificial intelligence are emerging as important components of precision medicine that enhance diagnosis and risk stratification. Risk stratification tools for hypertrophic cardiomyopathy ...
Application of machine-learning algorithms for better understanding of tableting properties of lactose co-processed with lipid excipients
(MDPI AG, 2021)
Co-processing (CP) provides superior properties to excipients and has become a reliable option to facilitated formulation and manufacturing of variety of solid dosage forms. Development of directly compressible formulations ...
Detection of acute kidney injury in premature asphyxiated neonates by serum neutrophil gelatinase-associated lipocalin (sNGAL) - sensitivity and specificity of a potential new biomarker
(Croatian Soc Medical Biochemistry & Laboratory Medicine, Zagreb, 2015)
Introduction: Acute kidney injury (AKI) is common in neonatal intensive care units (NICU). In recent years, every effort is made for early detection of AKI. Our hypothesis was that serum neutrophil gelatinase-associated ...
Novel Pharmaceutical and Nutraceutical-Based Approaches for Cardiovascular Diseases Prevention Targeting Atherogenic Small Dense LDL
(MDPI, 2022)
Compelling evidence supports the causative link between increased levels of low-density lipoprotein cholesterol (LDL-C) and atherosclerotic cardiovascular disease (CVD) development. For that reason, the principal aim of ...
Predicting Optimal Dihydroartemisinin-Piperaquine Regimens to Prevent Malaria During Pregnancy for Human Immunodeficiency Virus-Infected Women Receiving Efavirenz
(Oxford Univ Press Inc, Cary, 2018)
Background. A monthly treatment course of dihydroartemisinin-piperaquine (DHA-PQ) effectively prevents malaria during pregnancy. However, a drug-drug interaction pharmacokinetic (PK) study found that pregnant human ...