Samenvatting
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.
Originele taal-2 | English |
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Kwalificatie | Doctor of Philosophy |
Toekennende instantie |
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Begeleider(s)/adviseur |
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Datum van toekenning | 17-sep.-2018 |
Plaats van publicatie | [Groningen] |
Uitgever | |
Gedrukte ISBN's | 978-94-034-1064-7 |
Elektronische ISBN's | 978-94-034-1063-0 |
Status | Published - 2018 |