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dc.contributor.authorSavarese, Gianluigi
dc.contributor.authorUijl, Alicia
dc.contributor.authorOuwerkerk, Wouter
dc.contributor.authorTromp, Jasper
dc.contributor.authorAnker, Stefan D.
dc.contributor.authorDickstein, Kenneth
dc.contributor.authorHage, Camilla
dc.contributor.authorLam, Carolyn S.P.
dc.contributor.authorLang, Chim C.
dc.contributor.authorMetra, Marco
dc.contributor.authorNg, Leong L.
dc.contributor.authorOrsini, Nicola
dc.contributor.authorSamani, Nilesh J.
dc.contributor.authorvan Veldhuisen, Dirk J.
dc.contributor.authorCleland, John G.F.
dc.contributor.authorVoors, Adriaan A.
dc.contributor.authorLund, Lars H.
dc.date.accessioned2022-10-10T13:43:14Z
dc.date.available2022-10-10T13:43:14Z
dc.date.created2022-05-23T13:05:47Z
dc.date.issued2022
dc.identifier.issn2055-5822
dc.identifier.urihttps://hdl.handle.net/11250/3025165
dc.description.abstractAims No biomarker has achieved widespread acceptance as a surrogate endpoint for early-phase heart failure (HF) trials. We assessed whether changes over time in a panel of plasma biomarkers were associated with subsequent morbidity/mortality in HF with reduced ejection fraction (HFrEF). Methods and results In 1040 patients with HFrEF from the BIOSTAT-CHF cohort, we investigated the associations between changes in the plasma concentrations of 30 biomarkers, before (baseline) and after (9 months) attempted optimization of guideline-recommended therapy, on top of the BIOSTAT risk score and the subsequent risk of HF hospitalization/all-cause mortality using Cox regression models. C-statistics were calculated to assess discriminatory power of biomarker changes/month-nine assessment. Changes in N-terminal pro-B-type natriuretic peptide (NT-proBNP) and WAP four-disulphide core domain protein HE4 (WAP-4C) were the only independent predictors of the outcome after adjusting for their baseline plasma concentration, 28 other biomarkers (both baseline and changes), and BIOSTAT risk score at baseline. When adjusting for month-nine rather than baseline biomarkers concentrations, only changes in NT-proBNP were independently associated with the outcome. The C-statistic of the model including the BIOSTAT risk score and NT-proBNP increased by 4% when changes were considered on top of baseline concentrations and by 1% when changes in NT-proBNP were considered on top of its month-nine concentrations and the BIOSTAT risk score. Conclusions Among 30 relevant biomarkers, a change over time was significantly and independently associated with HF hospitalization/all-cause death only for NT-proBNP. Changes over time were modestly more prognostic than baseline or end-values alone. Changes in biomarkers should be further explored as potential surrogate endpoints in early phase HF trials.en_US
dc.language.isoengen_US
dc.publisherWileyen_US
dc.rightsNavngivelse-Ikkekommersiell 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/deed.no*
dc.titleBiomarker changes as surrogate endpoints in early-phase trials in heart failure with reduced ejection fractionen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2022 The Author(s)en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doi10.1002/ehf2.13917
dc.identifier.cristin2026522
dc.source.journalESC Heart Failureen_US
dc.source.pagenumber2107-2118en_US
dc.identifier.citationESC Heart Failure. 2022, 9 (4), 2107-2118.en_US
dc.source.volume9en_US
dc.source.issue4en_US


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Navngivelse-Ikkekommersiell 4.0 Internasjonal
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