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Patterns and prevalence of dyslipidemia in patients with different etiologies of chronic liver disease.

Lukas W Unger | Bernadette Forstner | Stephan Schneglberger | Moritz Muckenhuber | Ernst Eigenbauer | Bernhard Scheiner | Mattias Mandorfer | Michael Trauner | Thomas Reiberger
Wiener klinische Wochenschrift | 2019

Liver disease impacts on hepatic synthesis of lipoproteins and lipogenesis but data on dyslipidemia during disease progression are limited. We assessed the patterns of dyslipidemia in (i) different liver disease etiologies and discriminated (ii) non-advanced (non-ACLD) from advanced chronic liver disease (ACLD) as it is unclear how progression to ACLD impacts on dyslipidemia-associated cardiovascular risk.

Pubmed ID: 31493100

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GraphPad Prism (tool)

RRID:SCR_002798

Statistical analysis software that combines scientific graphing, comprehensive curve fitting (nonlinear regression), understandable statistics, and data organization. Designed for biological research applications in pharmacology, physiology, and other biological fields for data analysis, hypothesis testing, and modeling.

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