Application of the HFA-PEFF algorithm to characterize and score cardiac abnormalities in women with preeclampsia

The HFA-PEFF algorithm effectively detected cardiac dysfunction - reflected in structural changes, functional impairment, and elevated heart failure biomarkers - in women with preeclampsia. NT-proBNP may serve as potential screening tool for HFA-PEFF score.

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Publication Details

Journal
Journal of Hypertension
Published
2026-01-05
DOI
https://doi.org/10.1097/hjh.0000000000004211
Primary Topic
Pregnancy and preeclampsia studies
Type
article
Field-Weighted Citation Impact
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article

Application of the HFA-PEFF algorithm to characterize and score cardiac abnormalities in women with preeclampsia

Niclas Carlberg, Jonatan Oras, Lilja Thorgeirsdottir, Magnus Johansson et al.
Journal of Hypertension
Pregnancy and preeclampsia studies
article

Application of the HFA-PEFF algorithm to characterize and score cardiac abnormalities in women with preeclampsia

Niclas Carlberg, Jonatan Oras, Lilja Thorgeirsdottir, Magnus Johansson, L. Bergman, Sven-Egron Thörn, Michael Fu, Pari Allahyari, Malin B.L. Andersson, Linda E. Block
article en

Abstract

The HFA-PEFF algorithm effectively detected cardiac dysfunction - reflected in structural changes, functional impairment, and elevated heart failure biomarkers - in women with preeclampsia. NT-proBNP may serve as potential screening tool for HFA-PEFF score.

Journal of HypertensionVol. 44(3)
Stellenbosch University (ZA), Intensive Care Foundation (AU), Intensive Care Society (GB), Institute of Molecular Medicine (IN), University of Gothenburg (SE), University of Borås (SE)
Gender equality
Openalex Percentile: Top 94%
Pregnancy and preeclampsia studies
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