rebecca c. thurston, phd...rebecca c. thurston, phd departments of psychiatry, psychology, and...
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![Page 1: Rebecca C. Thurston, PhD...Rebecca C. Thurston, PhD Departments of Psychiatry, Psychology, and Epidemiology University of Pittsburgh Vasomotor Symptoms (VMS) Hot flashes, night sweats](https://reader035.vdocument.in/reader035/viewer/2022070802/5f02eeed7e708231d406babf/html5/thumbnails/1.jpg)
Rebecca C. Thurston, PhD Departments of Psychiatry, Psychology, and Epidemiology University of Pittsburgh
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Vasomotor Symptoms (VMS)
Hot flashes, night sweats
Over 70% of women experience during menopausal transition
Can persist for decades (10 years!)
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51
Hot Flashes Duration
0
50
100
0 10 20 30 40 50 60 70 80
0 80
Birth Death
% U
S w
omen
Final Menstrual Period (FMP)
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VMS
Long understood to have important impact on quality of life Few medical implications?
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Is a Hot Flash Just a Hot Flash?
WHI and HERS: women with baseline VMS highest CVD risk with HT use
• WHI (older women) Rossouw et al., 2007
• HERS (women with CHD) Huang et al., 2009
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VMS and Subclinical CVD
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Subclinical Cardiovascular Disease (CVD) Measures
FMD: Endothelial dysfunction (lower worse) Early in CVD
Calcification: Calcified plaques
IMT: Thickness of intimal and medial layers
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Study of Women’s Health Across the Nation (SWAN)
Hot Flashes Subclinical
Cardiovascular Disease (CVD)
• Flow mediated dilation (FMD)
• Calcification • Intima media
thickness (IMT) CV Risk Factors?
E2?
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Study of Women’s Health Across the Nation (SWAN)
Baseline Yrs 4-7 • FMD: Brachial
artery ultrasound • Calcification: EBT
aorta • IMT: Carotid artery
ultrasound
SWAN Heart (N=557) Pittsburgh, Chicago
SWAN (N=3302) Annually: • Demographic,
Health behaviors, Affect
• Hot flashes • SBP, DBP, BMI • Blood Draw: E2,
lipids, glucose
F
F
F
F
Follow up Yrs 6-9 • IMT
Baseline
13
B
B
B
B
2
3
4
5
6
7
8
9
1
10
11
12
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Hot Flashes & Flow Mediated Dilation
4
6
8
10
12
None Any
FMD
(%, M
, SD
)
Hot Flashes Age, site, race, lumen diameter, BMI, education, DBP, HT use, HDL, LDL, triglycerides, glucose, diabetes history, lipid med use, smoking, physical activity, E2, cycle day of blood draw (Thurston et al., 2008, Circulation)
*
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50
60
70
80
None Any
% w
ith A
ortic
Cal
cific
atio
n
Hot Flashes
Hot Flashes & Aortic Calcification
Age, site, race, education, BMI, smoking, SBP, antidepressant use, HT, menopausal status, depressive sx, phys activity, glucose, HDL, LDL, triglycerides, diabetes hx, cycle day, E2
(Thurston et al., 2008, Circulation)
*
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Cross Sectional Association between Hot Flashes and IMT
0.68
0.69
0.7
0.71
0.72
0.73
None 1-5 Days 6+ Days
IMT
(mm
)
Hot flashes in past 2 weeks age, site, race, education, BMI, smoking status, SBP, HDL, LDL, triglycerides, glucose, diabetes status/meds, CVD status/meds, HT use, E2, cycle day of blood draw
(Thurston et al., 2011, Menopause)
*
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0.68
0.69
0.7
0.71
0.72
0.73
None One Both
IMT
(mm
)
Visits with Hot Flashes
Association between Hot Flashes Across Visits and IMT
age, site, race, education, BMI, smoking status, SBP, HDL, LDL, triglycerides, glucose, diabetes status/meds, CVD status/meds, HT use, E2, cycle day of blood draw
(Thurston et al., 2011, Menopause)
*
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(Bechlioulis et al 2010, JCEM)
More evidence: Hot Flashes and Flow Mediated Dilation
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More Evidence: VMS and IMT
(Ozkaya et al 2011, Int J of Gyn & Obstet)
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Summary of Subclinical CVD findings Positive findings VMS and IMT (Ozkaya et al., 2011; Thurston et al., 2011)
VMS (duration) and aortic calcification (Thurston et al., 2010)
VMS and FMD/aortic calcification (Thurston et al., 2008; Bechlioulis et al 2010)
Negative findings: Coronary artery calcification WHI: women with hysterectomy (Allison et al., 2010)
KEEPS: healthy early perimenopausal women (Wolff et al., 2013)
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Hot Flashes and Subclinical CVD
Women with hot flashes may have higher subclinical CVD • Older or with some elevated CVD risk
factors? Not explained by CVD risk factors, E2 Mechanisms?
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VMS and the Autonomic Nervous System
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VMS and Autonomic Nervous System Etiology of VMS: Role of autonomic
nervous system speculated
Reduced parasympathetic (vagal) control of heart rate linked to elevated CVD risk
High frequency heart rate variability (HF-HRV)
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Study Question
Hot Flashes Cardiac vagal control (HF-HRV)
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Controlled laboratory studies
“Real world” ambulatory studies
VMS and the Autonomic Nervous System
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Physiologic Measurement of Hot Flashes
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Hot Flash Diary
Occurrence
Severity
Bothersome
Emotions
…
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Reduced Cardiac Vagal Control During Hot Flashes: Laboratory
* p < 0.05 vs. minute zero
Pre-Flash Period
Post-Flash Period
Flash Period
(Thurston et al. 2010, Menopause)
Flash Period
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Reduced Cardiac Vagal Control During Hot Flashes: Ambulatory (24 hrs)
Pre-flash Post-flash p<0.0001 p<0.0001
Minutes surrounding hot flash
HF-
HR
V (ln
mse
c2)
(Thurston et al., 2012,
Menopause)
Hot Flash
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Autonomic Nervous System and Hot Flashes Others similar findings: Freedman et al.,
2011; deZambotti et al., 2013; Hoikkala et al., 2010
Mechanism linking hot flashes to CVD risk?
Insight into etiology of hot flashes
Autonomic nervous system?
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VMS and CVD risk factors (traditional and novel)
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Hot Flashes and Systolic Blood Pressure
(Gerber et al. 2007, Menopause)
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Hot Flashes and LDL Cholesterol
100
105
110
115
120
125
130
0 1 3 4 5 6 7
LDL,
mg/
dL
SWAN Visit
None 1-5 Days 6+ Days
Hot flashes in past two weeks Covariates: age, site, race, education, menopausal status, alcohol use, physical activity, smoking, anxiety, BMI, CVD status/medication, lipid lowering medication
p<0.001
(Thurston et al., 2012, Obstet Gynecol)
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1.5
1.7
1.9
2.1
2.3
2.5
0 1 3 4 5 6 7
HO
MA
(med
ian)
SWAN Study Visit
None 1-5 days >=6 days
Hot Flashes and HOMA p<0.0001
Hot flashes in past two weeks Covariates: Age, site, race, education, menopausal status, alcohol, smoking, physical activity, smoking, anxiety, BMI, heart, BP or lipid lowering med
(Thurston et al., JCEM, 2012)
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5
6
7
8
9
10
0 1 3 4 5 6 7
TPA
-ant
igen
(log
)
SWAN Visit
None 1-5 Days 6+ Days
Hot Flashes and TPA-antigen
Hot flashes in past two weeks Covariates: education, menopausal status, alcohol, parity smoking, exercise, affect, BMI, CV meds, diabetes/insulin, steroids, pain med, antidepressants
p<0.001
(Thurston et al., 2011, Menopause)
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Hot Flashes and P-selectin
(Bechlioulis et al 2012, JCEM)
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Subclinical CVD Autonomic nervous system Blood pressure Lipids Insulin resistance Inflammatory/hemostatic factors
VMS and CVD Risk
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Studies of CVD events: Very few
VMS in context of HT use elevated risk (older women): WHI & HERS (Rossouw et al., 2007; Huang et al., 2009)
Early VMS reduced risk, Later VMS higher risk: WHI-OS (Szmuilowicz et al., 2011)
Night sweats increased CHD events: EPOS (Gast et al., 2011)
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Considerations Age of onset: older? (see poster 107) Duration or burden of VMS: More
persistent/ frequent/ severe? Existing CVD risk profile: Women with
elevated CVD risk factors? VMS measures: Brief, self-report
measures, recall and reporting biases Post-hoc analyses
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Hot Flashes and CVD Risk
Study designed to address relations between hot flashes and CVD risk Comprehensively study mechanisms
linking hot flashes and CVD risk: R01HL105647, N=300 (PI: Thurston)
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Women, Menopause, Heart Disease
0
50
100
0 10 20 30 40 50 60 70 80
0 80
51
Birth Death Menopause
0
10000
20000
30000
0 10 20 30 40 50 60 70 80
Hot Flashes
Heart Disease
(Dennerstein et al., 2000; Kronenberg, 1999; Mosca, 1997; Tunstall-Pedoe, 1998)
Dea
ths
in
Thou
sand
s %
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Implications?
Possibly……midlife marker of CVD risk
Aggressive risk factor reduction among women with hot flashes?
Improve health of midlife women
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Karen Matthews, PhD Emma Barinas-Mitchell, PhD
Kim Sutton-Tyrrell, DrPH Samar El Khoudary, PhD
Faith Selzer, PhD Rachel Hess, MD, MSc
Carolyn Crandall, MD, MS Barbara Sternfeld, PhD
Susan Everson-Rose, PhD, MPH Ellen Gold, PhD
Imke Janssen, PhD Lynda Powell, PhD
Acknowledgements
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SWAN (NR004061; AG012505, AG012535, AG012531, AG012539, AG012546, AG012553, AG012554, AG012495,
HL065581, HL06551) Thurston: K23AG029216, R01HL105647
Pittsburgh Mind Body Center/NIH (HL076852/076858)
American Federation for Aging Research University of Pittsburgh Institute on Aging
The content of this presentation is solely the responsibility of the authors and does not necessarily represent the official views of
the NIA, NINR, ORWH or the NIH.
Acknowledgements
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Thank you!
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Extra slides
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Hot Flashes and Triglycerides
80
90
100
110
120
130
140
150
160
0 1 3 4 5 6 7
Trig
lyce
rides
, mg/
Dl
SWAN Visit
None 1-5 Days 6+ Days
p<0.0001
Hot flashes in past two weeks Covariates: age, site, race, education, menopausal status, alcohol use, physical activity, smoking, anxiety, BMI, CVD status/medication, lipid lowering medication
(Thurston et al., 2012, Obstet Gynecol)
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Hot Flashes and ApoB
95
100
105
110
115
120
0 1 3 4 5 6 7
Apo
B, m
g/D
l
SWAN Visit
None 1-5 Days 6+ Days
p<0.0001
Hot flashes in past two weeks Covariates: age, site, race, education, menopausal status, alcohol use, physical activity, smoking, anxiety, BMI, CVD status/medication, lipid lowering medication
(Thurston et al., 2012)
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100 105 110 115 120 125 130 135 140
0 1 3 5 7
Fact
or V
IIc (l
og)
SWAN Visit
None 1-5 Days 6+ Days
Hot Flashes and Factor VIIc p<0.01
Hot flashes in past two weeks Covariates: education, menopausal status, alcohol, parity smoking, exercise, affect, BMI, CV meds, diabetes/insulin, steroids, pain med, antidepressants
(Thurston et al., 2011, Menopause)
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Duration of Hot Flash reporting over 8 yrs and Aortic Calcification, HT users
(Thurston et al., 2010, Menopause)
b = 2.87, SE = 1.21, p<0.05
Covariates: age, race, smoking, SBP, LDL, HDL, triglycerides, glucose, BMI, education, alcohol use, BP med use, lipid med use, yrs since FMP, time difference between measurements
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VMS and IMT by Obesity Status
(Thurston et al., 2011, Menopause)