Radunović, Danilo

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  • Radunović, Danilo (1)
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Prooxidant-antioxidant balance, hsTnI and hsCRP: mortality prediction in haemodialysis patients, two-year follow-up

Antunović, Tanja; Stefanović, Aleksandra; Gligorović-Barhanović, Najdana; Miljković, Milica; Radunović, Danilo; Ivanišević, Jasmina; Prelević, Vladimir; Bulatović, Nebojša; Ratković, Marina; Stojanov, Marina

(Taylor & Francis Ltd, Abingdon, 2017)

TY  - JOUR
AU  - Antunović, Tanja
AU  - Stefanović, Aleksandra
AU  - Gligorović-Barhanović, Najdana
AU  - Miljković, Milica
AU  - Radunović, Danilo
AU  - Ivanišević, Jasmina
AU  - Prelević, Vladimir
AU  - Bulatović, Nebojša
AU  - Ratković, Marina
AU  - Stojanov, Marina
PY  - 2017
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/2984
AB  - Oxidative stress and inflammation are highly intertwined pathophysiological processes. We analyzed the markers of these processes and high-sensitive troponin I (hsTnI) for mortality prediction in patients on haemodialysis. This study enrolled a total of 62 patients on regular haemodialysis. The patients were monitored for two years, and the observed outcomes were all-cause and cardiovascular mortality. Blood samples were taken before one dialysis session for analysis of the baseline concentrations of prooxidant-antioxidant balance (PAB), total antioxidant status (TAS), total oxidative status (TOS), hsTnI, hsCRP and resistin. The overall all-cause mortality was 37.1% and CVD mortality 16.1%. By univariate and multivariate logistic regression, our findings suggest that good predictors of all-cause mortality include hsCRP and PAB (p lt .05) and of CVD mortality hsCRP (p lt .05) and hsTnI (p lt .001). To evaluate the relationship between the combined parameter measurements and all-cause/CVD mortality risk, patients were divided into three groups according to their PAB, hsCRP and hsTnI concentrations. The cutoffs for hsCRP and hsTnI and the median for PAB were used. Kaplan-Meier survival curves pointed out that the highest mortality risk of all-cause mortality was in the group with hsCRP levels above the cutoff and PAB levels above the median (p lt .001). The highest risk of CVD mortality was found in the group with hsCRP and hsTnI levels above the cutoff levels (p =.001). Our data suggest that hsCRP and PAB are very good predictors of all-cause mortality. For CVD complications and mortality prediction in HD patients, the most sensitive parameters appear to be hsTnI and hsCRP.
PB  - Taylor & Francis Ltd, Abingdon
T2  - Reproductive Toxicology
T1  - Prooxidant-antioxidant balance, hsTnI and hsCRP: mortality prediction in haemodialysis patients, two-year follow-up
VL  - 39
IS  - 1
SP  - 491
EP  - 499
DO  - 10.1080/0886022X.2017.1323645
ER  - 
@article{
author = "Antunović, Tanja and Stefanović, Aleksandra and Gligorović-Barhanović, Najdana and Miljković, Milica and Radunović, Danilo and Ivanišević, Jasmina and Prelević, Vladimir and Bulatović, Nebojša and Ratković, Marina and Stojanov, Marina",
year = "2017",
abstract = "Oxidative stress and inflammation are highly intertwined pathophysiological processes. We analyzed the markers of these processes and high-sensitive troponin I (hsTnI) for mortality prediction in patients on haemodialysis. This study enrolled a total of 62 patients on regular haemodialysis. The patients were monitored for two years, and the observed outcomes were all-cause and cardiovascular mortality. Blood samples were taken before one dialysis session for analysis of the baseline concentrations of prooxidant-antioxidant balance (PAB), total antioxidant status (TAS), total oxidative status (TOS), hsTnI, hsCRP and resistin. The overall all-cause mortality was 37.1% and CVD mortality 16.1%. By univariate and multivariate logistic regression, our findings suggest that good predictors of all-cause mortality include hsCRP and PAB (p lt .05) and of CVD mortality hsCRP (p lt .05) and hsTnI (p lt .001). To evaluate the relationship between the combined parameter measurements and all-cause/CVD mortality risk, patients were divided into three groups according to their PAB, hsCRP and hsTnI concentrations. The cutoffs for hsCRP and hsTnI and the median for PAB were used. Kaplan-Meier survival curves pointed out that the highest mortality risk of all-cause mortality was in the group with hsCRP levels above the cutoff and PAB levels above the median (p lt .001). The highest risk of CVD mortality was found in the group with hsCRP and hsTnI levels above the cutoff levels (p =.001). Our data suggest that hsCRP and PAB are very good predictors of all-cause mortality. For CVD complications and mortality prediction in HD patients, the most sensitive parameters appear to be hsTnI and hsCRP.",
publisher = "Taylor & Francis Ltd, Abingdon",
journal = "Reproductive Toxicology",
title = "Prooxidant-antioxidant balance, hsTnI and hsCRP: mortality prediction in haemodialysis patients, two-year follow-up",
volume = "39",
number = "1",
pages = "491-499",
doi = "10.1080/0886022X.2017.1323645"
}
Antunović, T., Stefanović, A., Gligorović-Barhanović, N., Miljković, M., Radunović, D., Ivanišević, J., Prelević, V., Bulatović, N., Ratković, M.,& Stojanov, M.. (2017). Prooxidant-antioxidant balance, hsTnI and hsCRP: mortality prediction in haemodialysis patients, two-year follow-up. in Reproductive Toxicology
Taylor & Francis Ltd, Abingdon., 39(1), 491-499.
https://doi.org/10.1080/0886022X.2017.1323645
Antunović T, Stefanović A, Gligorović-Barhanović N, Miljković M, Radunović D, Ivanišević J, Prelević V, Bulatović N, Ratković M, Stojanov M. Prooxidant-antioxidant balance, hsTnI and hsCRP: mortality prediction in haemodialysis patients, two-year follow-up. in Reproductive Toxicology. 2017;39(1):491-499.
doi:10.1080/0886022X.2017.1323645 .
Antunović, Tanja, Stefanović, Aleksandra, Gligorović-Barhanović, Najdana, Miljković, Milica, Radunović, Danilo, Ivanišević, Jasmina, Prelević, Vladimir, Bulatović, Nebojša, Ratković, Marina, Stojanov, Marina, "Prooxidant-antioxidant balance, hsTnI and hsCRP: mortality prediction in haemodialysis patients, two-year follow-up" in Reproductive Toxicology, 39, no. 1 (2017):491-499,
https://doi.org/10.1080/0886022X.2017.1323645 . .
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