prikaz prve stranice dokumenta Serum concentration of HDL particles predicts mortality in acute heart failure patients
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Scientific paper - Original scientific paper
Serum concentration of HDL particles predicts mortality in acute heart failure patients
Scientific Reports, 7 (2017); 46642. https://doi.org/10.1038/srep46642
Potočnjak, Ines; Degoricija, Vesna; Trbušić, Matias; Pregartner, Gudrun; Berghold, Andrea; Marsche, Gunther; Frank, Saša

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Potočnjak, I., Degoricija, V., Trbušić, M., Pregartner, G., Berghold, A., Marsche, G. & Frank, S. (2017). Serum concentration of HDL particles predicts mortality in acute heart failure patients. Scientific Reports, 7., 46642. doi: 10.1038/srep46642

Potočnjak, Ines, et al. "Serum concentration of HDL particles predicts mortality in acute heart failure patients." Scientific Reports, vol. 7, 2017, p. 46642. https://doi.org/10.1038/srep46642

Potočnjak, Ines, Vesna Degoricija, Matias Trbušić, Gudrun Pregartner, Andrea Berghold, Gunther Marsche and Saša Frank. "Serum concentration of HDL particles predicts mortality in acute heart failure patients." Scientific Reports 7 (2017): 46642. https://doi.org/10.1038/srep46642

Potočnjak, I., et al. (2017) 'Serum concentration of HDL particles predicts mortality in acute heart failure patients', Scientific Reports, 7, p. 46642. doi: 10.1038/srep46642

Potočnjak I, Degoricija V, Trbušić M, Pregartner G, Berghold A, Marsche G, and sur.. Serum concentration of HDL particles predicts mortality in acute heart failure patients. Scientific Reports [Internet]. 2017 April 18 [cited 2024 December 20];7:46642. doi: 10.1038/srep46642

I. Potočnjak, et al., "Serum concentration of HDL particles predicts mortality in acute heart failure patients", Scientific Reports, vol. 7, p. 46642, April 2017. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:105:883691. [Accessed: 20 December 2024]

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Metadata
Title (english)Serum concentration of HDL particles predicts mortality in acute heart failure patients
AuthorInes Potočnjak
AuthorVesna Degoricija
AuthorMatias Trbušić
AuthorGudrun Pregartner
AuthorAndrea Berghold
AuthorGunther Marsche
AuthorSaša Frank
Author's institutionUniversity of Zagreb
School of Medicine
Scientific / art field,
discipline and subdiscipline		BIOMEDICINE AND HEALTHCARE
Clinical Medical Sciences
Abstract (english)
Clinical studies have shown that assessing circulating concentrations of high-density lipoprotein (HDL) particles by nuclear magnetic resonance (NMR) spectroscopy is superior to HDL-cholesterol in predicting cardiovascular risk. We tested the hypothesis that circulating concentrations of HDL particles predict 3-month mortality of patients with acute heart failure (AHF). Out of 152 included patients, 52% were female, additionally the mean patient age was 75.2 ± 10.3 years, and three-month mortality was 27%. Serum lipoprotein profile at admission was determined by NMR spectroscopy. Univariate logistic regression analyses revealed a significant inverse association of total (odds ratio (OR) 0.38 per 1-SD increase, 95% confidence interval (CI) 0.23-0.60, p < 0.001) and small HDL particle concentrations (OR 0.35 per 1-SD increase, 95% CI 0.19-0.60, p < 0.001) with 3-month mortality, whereas concentrations of large HDL particles (p = 0.353) or HDL-cholesterol (p = 0.107) showed no significant association. After adjustment for age, sex, mean arterial pressure, low-density lipoprotein cholesterol, glomerular filtration rate, urea, and N-terminal pro-brain natriuretic peptide, both the total and small HDL particle concentrations remained significantly associated with 3-month mortality. Based on our results, we conclude that total and small HDL particle concentrations strongly and independently predict 3-month mortality in AHF patients.
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review
Publication versionPublished version
Journal titleScientific Reports
Numberingvol. 7, p. 46642
p-ISSN2045-2322
DOIhttps://doi.org/10.1038/srep46642
URN:NBNurn:nbn:hr:105:883691
Publication2017-04-18
Document URLhttps://doi.org/10.1038/srep46642
Type of resourceText
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2024-03-28 09:10:57