Biomarkers and personalized medicine in heart failure

Jasper Tromp

Biomarkers and personalized medicine in heart failure

Research output: Thesis › Thesis fully internal (DIV)

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Abstract

Treating heart failure is one of the greatest unmet needs in cardiovascular medicine today. Overall survival is poor and 50% of patients die within 5 years of their initial diagnosis. Heart failure is a heterogeneous syndrome and a one-size-fits-all approach is ineffective. Therefore, in my thesis I used biomarkers to 1. Show that patients with heart failure and a preserved ejection fraction are subject to more inflammation, which can be a key treatment target and 2. Identified clinical relevant subgroups with differences in response to treatment using machine learning based approaches.

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	University of Groningen
Supervisors/Advisors	van der Meer, Peter, Supervisor Voors, Adriaan, Supervisor Brunner-La Rocca, Hans-Peter, Assessment committee, External person van Gilst, Wiek, Assessment committee
Award date	17-Sept-2018
Place of Publication	[Groningen]
Publisher	Rijksuniversiteit Groningen
Print ISBNs	978-94-034-1064-7
Electronic ISBNs	978-94-034-1063-0
Publication status	Published - 2018

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Title and contentsFinal publisher's version, 1.58 MB
Chapter 1Final publisher's version, 2.33 MB
Chapter 2Final publisher's version, 1.66 MB
Chapter 3Final publisher's version, 2.78 MB
Chapter 4Final publisher's version, 5.43 MB
Chapter 5Final publisher's version, 2.9 MB
Chapter 6Final publisher's version, 2.4 MB
Chapter 7Final publisher's version, 1.88 MB
Chapter 8Final publisher's version, 1.57 MB
AppendicesFinal publisher's version, 729 KB
Complete thesisFinal publisher's version, 10.3 MB
PropositionsFinal publisher's version, 137 KB

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title = "Biomarkers and personalized medicine in heart failure",

abstract = "Treating heart failure is one of the greatest unmet needs in cardiovascular medicine today. Overall survival is poor and 50% of patients die within 5 years of their initial diagnosis. Heart failure is a heterogeneous syndrome and a one-size-fits-all approach is ineffective. Therefore, in my thesis I used biomarkers to 1. Show that patients with heart failure and a preserved ejection fraction are subject to more inflammation, which can be a key treatment target and 2. Identified clinical relevant subgroups with differences in response to treatment using machine learning based approaches.",

author = "Jasper Tromp",

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publisher = "Rijksuniversiteit Groningen",

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TY - BOOK

T1 - Biomarkers and personalized medicine in heart failure

AU - Tromp, Jasper

PY - 2018

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N2 - Treating heart failure is one of the greatest unmet needs in cardiovascular medicine today. Overall survival is poor and 50% of patients die within 5 years of their initial diagnosis. Heart failure is a heterogeneous syndrome and a one-size-fits-all approach is ineffective. Therefore, in my thesis I used biomarkers to 1. Show that patients with heart failure and a preserved ejection fraction are subject to more inflammation, which can be a key treatment target and 2. Identified clinical relevant subgroups with differences in response to treatment using machine learning based approaches.

AB - Treating heart failure is one of the greatest unmet needs in cardiovascular medicine today. Overall survival is poor and 50% of patients die within 5 years of their initial diagnosis. Heart failure is a heterogeneous syndrome and a one-size-fits-all approach is ineffective. Therefore, in my thesis I used biomarkers to 1. Show that patients with heart failure and a preserved ejection fraction are subject to more inflammation, which can be a key treatment target and 2. Identified clinical relevant subgroups with differences in response to treatment using machine learning based approaches.

M3 - Thesis fully internal (DIV)

SN - 978-94-034-1064-7

PB - Rijksuniversiteit Groningen

CY - [Groningen]

ER -

Biomarkers and personalized medicine in heart failure

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