Laura B Harrington1, Marc Blondon, Mary Cushman, Andrew M Kaunitz, Jacques E Rossouw, Matthew A Allison, Lisa W Martin, Karen C Johnson, Jan Rosing, Nancy F Woods, Andrea Z LaCroix, Susan R Heckbert, Barbara McKnight, Nicholas L Smith. 1. 1Department of Epidemiology, University of Washington, Seattle, WA 2Department of Nutrition, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA 3Division of Angiology and Haemostasis, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland 4Department of Medicine, University of Vermont, Burlington, VT 5Department of Obstetrics and Gynecology, University of Florida College of Medicine-Jacksonville, Jacksonville, FL 6National Heart Lung and Blood Institute, Bethesda, MD 7Department of Preventive Medicine, University of California San Diego, San Diego, CA 8Department of Medicine, George Washington University, Washington, DC 9Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN 10Department of Biochemistry, Maastricht University, Maastricht, The Netherlands 11School of Nursing, University of Washington, Seattle, WA 12Department of Family Medicine and Public Health, University of California San Diego, San Diego, CA 13Department of Biostatistics, University of Washington, Seattle, WA.
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.
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.
Authors: Melissa J Azur; Elizabeth A Stuart; Constantine Frangakis; Philip J Leaf Journal: Int J Methods Psychiatr Res Date: 2011-03 Impact factor: 4.035
Authors: Jacques E Rossouw; Karen C Johnson; Mary Pettinger; Mary Cushman; Per Morten Sandset; Lewis Kuller; Frits Rosendaal; Jan Rosing; Sylvia Wasserthal-Smoller; Lisa W Martin; Joann E Manson; Kamakshi Lakshminarayan; Jose G Merino; John Lynch Journal: Stroke Date: 2012-02-23 Impact factor: 7.914
Authors: John F Randolph; MaryFran Sowers; Irina Bondarenko; Ellen B Gold; Gail A Greendale; Joyce T Bromberger; Sarah E Brockwell; Karen A Matthews Journal: J Clin Endocrinol Metab Date: 2005-09-06 Impact factor: 5.958
Authors: Vanessa M Barnabei; Barbara B Cochrane; Aaron K Aragaki; Ingrid Nygaard; R Stan Williams; Peter G McGovern; Ronald L Young; Ellen C Wells; Mary Jo O'Sullivan; Bertha Chen; Robert Schenken; Susan R Johnson Journal: Obstet Gynecol Date: 2005-05 Impact factor: 7.661
Authors: Emily D Szmuilowicz; JoAnn E Manson; Jacques E Rossouw; Barbara V Howard; Karen L Margolis; Nancy C Greep; Robert G Brzyski; Marcia L Stefanick; Mary Jo O'Sullivan; Chunyuan Wu; Matthew Allison; Diederick E Grobbee; Karen C Johnson; Judith K Ockene; Beatriz L Rodriguez; Gloria E Sarto; Mara Z Vitolins; Ellen W Seely Journal: Menopause Date: 2011-06 Impact factor: 2.953
Authors: Jacques E Rossouw; Ross L Prentice; JoAnn E Manson; Lieling Wu; David Barad; Vanessa M Barnabei; Marcia Ko; Andrea Z LaCroix; Karen L Margolis; Marcia L Stefanick Journal: JAMA Date: 2007-04-04 Impact factor: 56.272
Authors: Charles Kooperberg; Mary Cushman; Judith Hsia; Jennifer G Robinson; Aaron K Aragaki; John K Lynch; Alison E Baird; Karen C Johnson; Lewis H Kuller; Shirley A A Beresford; Beatriz Rodriguez Journal: PLoS Clin Trials Date: 2007-06-15
Authors: L B Harrington; M Blondon; M Cushman; A M Kaunitz; M A Allison; L Wang; S Sullivan; N F Woods; A Z LaCroix; S R Heckbert; B McKnight; J Rossouw; N L Smith Journal: J Thromb Haemost Date: 2018-04-02 Impact factor: 5.824