Utility of iron biomarkers in differentiating menopausal status: Findings from CoLaus and PREVEND.

Details

Ressource 1Download: Kastrati.pdf (585.88 [Ko])
State: Public
Version: Final published version
License: CC BY 4.0
Secondary document(s)
Download: Kastrati.docx (146.59 [Ko])
State: Public
Version: Supplementary document
License: Not specified
Serval ID
serval:BIB_668096CB5D2F
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Utility of iron biomarkers in differentiating menopausal status: Findings from CoLaus and PREVEND.
Journal
Maturitas
Author(s)
Kastrati L., Groothof D., Quezada-Pinedo H.G., Raeisi-Dehkordi H., Bally L., De Borst M.H., Bakker SJL, Vidal P.M., Eisenga M.F., Muka T.
ISSN
1873-4111 (Electronic)
ISSN-L
0378-5122
Publication state
Published
Issued date
01/2024
Peer-reviewed
Oui
Volume
179
Pages
107872
Language
english
Notes
Publication types: Journal Article
Publication Status: ppublish
Abstract
To examine the association of iron biomarkers with menopausal status and assess whether these biomarkers can help differentiate menopausal status beyond age.
In this cross-sectional study we included 1679 women from the CoLaus and 2133 from the PREVEND cohorts, with CoLaus used as primary cohort and PREVEND for replication. Ferritin, transferrin, iron, and transferrin saturation (TSAT) were used to assess iron status. Hepcidin and soluble transferrin receptor were assessed only in PREVEND. Menopausal status was self-reported and defined as menopausal or non-menopausal. Logistic regressions were used to explore the association of these iron biomarkers with menopause status. Sensitivity, specificity, area under the receiver operating characteristic curves (AUC), positive and negative predictive values as well as cut-off points for the iron biomarkers were calculated. The model with the highest AUC was defined as the best.
In the CoLaus and PREVEND cohorts, respectively, 513 (30.6 %) and 988 (46.3 %) women were postmenopausal. Ferritin (OR, 2.20; 95 % CI 1.72-2.90), transferrin (OR, 0.03; 95 % CI 0.01-0.10), and TSAT (OR, 1.28; 95 % CI 1.06-1.54) were significantly associated with menopausal status in CoLaus, with the findings replicated in PREVEND. AUC of age alone was 0.971. The best model resulted from combining age, ferritin, and transferrin, with an AUC of 0.976, and sensitivity and specificity of 87.1 % and 96.5 %, respectively. Adding transferrin and ferritin to a model with age improved menopause classification by up to 7.5 %. In PREVEND, a model with age and hepcidin outperformed a model with age, ferritin, and transferrin.
Iron biomarkers were consistently associated with menopausal status in both cohorts, and modestly improved a model with age alone for differentiating menopause status. Our findings on hepcidin need replication.
Keywords
Humans, Female, Male, Iron/metabolism, Hepcidins, Cross-Sectional Studies, Ferritins, Transferrin/analysis, Biomarkers, Menopause, Ferritin, Hepcidin, Iron, Transferrin
Pubmed
Web of science
Open Access
Yes
Create date
16/11/2023 16:02
Last modification date
13/01/2024 8:17
Usage data