Literature DB >> 33604084

Assessment of Concentrations of Heavy Metals in Postmyocardial Infarction Patients and Patients Free from Cardiovascular Event.

Grzegorz Józef Nowicki1, Barbara Ślusarska1, Andrzej Prystupa2, Eliza Blicharska3, Agnieszka Adamczuk4, Tomasz Czernecki5, Krzysztof Jacek Jankowski6.   

Abstract

Cardiovascular diseases (CVDs) constitute the first cause of death among the population of developing and developed countries. Atherosclerosis, which is a disorder with multifactorial etiopathogenesis, underlies most CVDs. The available literature includes ample research studies on the influence of classic cardiovascular (CV) risk factors. However, environmental exposure to heavy metals, among other substances, is still an unappreciated risk factor of CVDs. This study aimed to assess the concentration of some heavy metals (copper (Cu), zinc (Zn), manganese (Mn), cobalt (Co), and iron (Fe)) in the blood serum of postmyocardial infarction (post-MI) patients and patients free from myocardial infarction (MI) as well as estimate the relationship between the occurrence of MI and increased concentration of heavy metals. The concentration of heavy metals (Cu, Zn, Mn, Co, and Fe) was assessed using the inductively coupled plasma mass spectrometry technique in a group of 146 respondents divided into two groups: post-MI group (study group (SG), n = 74) and group without cardiovascular event (CVE) having a low CV risk (control group (CG), n = 72). The concentration of the analyzed heavy metals was higher in SG. All the heavy metals showed a significant diagnostic value (p < 0.001). The highest value of area under the curve (AUC) was observed for manganese (Mn) (0.955; 95% confidence interval (CI) = 0.922-0.988), while the lowest value was found for zinc (Zn) (0.691; 95% CI = 0.599-0.782). In one-dimensional models, high concentrations of each of the analyzed heavy metals significantly increased the chances of having MI from 7-fold (Cu) to 128-fold (Mn). All the models containing a particular metal showed a significant and high discrimination value for MI occurrence (AUC 0.72-0.92). Higher concentrations of Cu, Zn, Mn, Co, and Fe were found to considerably increase the chances of having MI. Considering the increasingly higher environmental exposure to heavy metals in recent times, their concentrations can be distinguished as a potential risk factor of CVDs.
Copyright © 2021 Grzegorz Józef Nowicki et al.

Entities:  

Year:  2021        PMID: 33604084      PMCID: PMC7868144          DOI: 10.1155/2021/9546358

Source DB:  PubMed          Journal:  Cardiol Res Pract        ISSN: 2090-0597            Impact factor:   1.866


  71 in total

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  1 in total

1.  The Relationship Between the Metabolic Syndrome and the Place of Residence in the Local Community on the Example of the Janów Lubelski District in Eastern Poland: A Population-Based Study.

Authors:  Grzegorz Józef Nowicki; Barbara Ślusarska; Katarzyna Naylor; Andrzej Prystupa; Ewa Rudnicka-Drożak; Ulyana Halyuk; Petro Pokotylo
Journal:  Diabetes Metab Syndr Obes       Date:  2021-05-06       Impact factor: 3.168

  1 in total

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