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Circulating biomarkers of cardiovascular disease are related to aneurysm volume in abdominal aortic aneurysm

Authors :
Bouwens, Elke
Vanmaele, Alexander
Hoeks, Sanne E.
Verhagen, Hence J.M.
Fioole, Bram
Moelker, Adriaan
ten Raa, Sander
Hussain, Burhan
Oliveira-Pinto, José
Bastos Gonçalves, Frederico
Ijpma, Arne S.
Hoefer, Imo E.
van Lier, Felix
Akkerhuis, K. Martijn
Majoor-Krakauer, Danielle F.
Boersma, Eric
Kardys, Isabella
NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)
Publication Year :
2023

Abstract

Funding Information: The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work is supported by Stichting Lijf en Leven. The sponsor had no role in study design, methods, subject recruitment, data collection or analysis, or preparation of the manuscript. Publisher Copyright: © The Author(s) 2023. Background: Surveillance programs in abdominal aortic aneurysms (AAA) are mainly based on imaging and leave room for improvement to timely identify patients at risk for AAA growth. Many biomarkers are dysregulated in patients with AAA, which fuels interest in biomarkers as indicators of disease progression. We examined associations of 92 cardiovascular disease (CVD)-related circulating biomarkers with AAA and sac volume. Methods: In a cross-sectional analysis, we separately investigated (1) 110 watchful waiting (WW) patients (undergoing periodic surveillance imaging without planned intervention) and (2) 203 patients after endovascular aneurysm repair (EVAR). The Cardiovascular Panel III (Olink Proteomics AB, Sweden) was used to measure 92 CVD-related circulating biomarkers. We used cluster analyses to investigate protein-based subphenotypes, and linear regression to examine associations of biomarkers with AAA and sac volume on CT scans. Results: Cluster analyses revealed two biomarker-based subgroups in both WW and EVAR patients, with higher levels of 76 and 74 proteins, respectively, in one subgroup versus the other. In WW patients, uPA showed a borderline significant association with AAA volume. Adjusting for clinical characteristics, there was a difference of −0.092 (−0.148, −0.036) loge mL in AAA volume per SD uPA. In EVAR patients, after multivariable adjustment, four biomarkers remained significantly associated with sac volume. The mean effects on sac volume per SD difference were: LDLR: −0.128 (−0.212, −0.044), TFPI: 0.139 (0.049, 0.229), TIMP4: 0.110 (0.023, 0.197), IGFBP-2: 0.103 (0.012, 0.194). Conclusion: LDLR, TFPI, TIMP4, and IGFBP-2 were independently associated with sac volume after EVAR. Subgroups of patients with high levels of the majority of CVD-related biomarkers emphasize the intertwined relationship between AAA and CVD. ClinicalTrials.gov Identifier: NCT03703947. publishersversion epub_ahead_of_print

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.od......1437..84a94b1aa8af2f006e10dc60ce3aa3df