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Article


Title

The Mutual Contribution of 3-NT, IL-18, Albumin and Phosphate Foreshadows Death of Hemodialyzed Patients in a 2-Year Follow-Up

Authors

[ 1 ] Instytut Informatyki, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2022

Published in

Antioxidants

Journal year: 2022 | Journal volume: vol. 11 | Journal number: iss. 2

Article type

scientific article

Publication language

english

Keywords
EN
  • hemodialysis
  • mortality
  • inflammation
  • nitrosative stress
  • phosphate
  • IL-18
  • predictive model
Abstract

EN Patients with chronic kidney disease (CKD), especially those who are hemodialyzed (HD), are at significantly high risk of contracting cardiovascular disease and having increased mortality. This study aimed to find potential death predictors, the measurement of which may reflect increased mortality in HD patients, and then combine the most promising ones in frames of a simple death risk assessment model. For this purpose, HD patients (n=71) with acute myocardial infarction in the last year (HD group) and healthy people (control group) as a comparative group (n=32) were included in the study. Various laboratory determinations and non-invasive cardiovascular tests were performed. Next, patients were followed for two years, and data on cardiovascular (CV) deaths were collected. On this basis, two HD groups were formed: patients who survived (HD-A, n=51) and patients who died (HD-D, n=20). To model HD mortality, 21 out of 90 potential variables collected or calculated from the raw data were selected. The best explanatory power (95.5%) was reached by a general linear model with four variables: interleukin 18, 3-nitrotyrosine, albumin, and phosphate. The interplay between immuno-inflammatory processes, nitrosative and oxidative stress, malnutrition, and calcium-phosphate disorders has been indicated to be essential in predicting CV-related mortality in studied HD patients. ClinicalTrials.gov Identifier: NCT05214872.

Date of online publication

11.02.2022

Pages (from - to)

355-1 - 355-23

DOI

10.3390/antiox11020355

URL

https://www.mdpi.com/2076-3921/11/2/355

Comments

Article Number: 355

License type

CC BY (attribution alone)

Open Access Mode

open journal

Open Access Text Version

final published version

Date of Open Access to the publication

at the time of publication

Points of MNiSW / journal

100.0

Impact Factor

6.313 [List 2020]

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