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The cross-sectional association between vasomotor symptoms and hemostatic parameter levels in postmenopausal women

Published Web Location

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5365368/
No data is associated with this publication.
Abstract

Objective

Vasomotor symptoms (VMS) may be a marker of cardiovascular risk. We aimed to evaluate the cross-sectional association of VMS presence and severity with hemostatic parameter levels measured at baseline among Women's Health Initiative (WHI) Hormone Therapy trial postmenopausal participants.

Methods

This cross-sectional analysis included 2,148 postmenopausal women with measures of VMS presence and severity reported in the 4 weeks before WHI baseline, who were not using warfarin or hormone therapy and for whom the following baseline hemostatic parameters were measured within the WHI Cardiovascular Disease Biomarker Case-Control Study: antithrombin, plasminogen activator inhibitor-1, protein C antigen, total and free protein S antigen, total and free tissue factor pathway inhibitor, D-dimer, normalized activated protein C sensitivity ratio, and thrombin generation. Using multiple linear regression, we estimated the adjusted average difference in each hemostatic parameter associated with VMS presence and severity. A multiple comparisons-corrected P value was computed using the P-min procedure to determine statistical significance of our smallest observed P value.

Results

Women were 67 years of age on average and 33% reported VMS presence at baseline. There was some suggestion that VMS presence may be associated with a -0.34 adjusted difference in normalized activated protein C sensitivity ratio compared with no VMS (95% CI, -0.60 to -0.087; P = 0.009), but this association was not significant after correction for multiple comparisons (P = 0.073). VMS presence or severity was not significantly associated with the other hemostatic parameters.

Conclusions

We found no convincing evidence that VMS presence or severity was associated with levels of hemostatic parameters among postmenopausal women.

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