Predictors of Stroke Risk in Atrial Fibrillation

Download Report

Transcript Predictors of Stroke Risk in Atrial Fibrillation

Which tool do you most typically use to
evaluate stroke risk for patients with a fib?
1.
2.
3.
CHADS2 score
CHADS2-VASc
Other
0
0
0
CHADS2 score
CHADS2-VASc
Other
10

Patient
› 56 y/o F
› PMH: A fib, Diastolic HF,
HTN, COPD, GERD,
MDD
› Medications






Coumadin 2mg QD
Lasix 60mg BID
K Cl 20mEq QD
Diltiazem 120mg BID
Spiriva 18mcg QD
Flovent 44mcg/act
1 inhalation BID
 Albuterol Nebulizer
0.083% Q4-6H PRN SOB
 TUMS 500mg TID PRN
 Lexapro 20mg QD
 APAP 650mg Q6H PRN
 Colace 100mg BID
 Bisacodyl 10mg Supp
QD PRN
C.S. began obsessing over her INR value
which was (unstable in her perspective),
ranging from 1.9 to 3.1 over the past 5
months…
 Transitioned to Xarelto

› NH called reported patient refused Xarelto
for past 3 days…
 Concerns w/ SE, especially bleeding
When calculating stroke risk, does diastolic
HF carry as much risk as systolic HF?
Yes
2. No
3. Unsure
1.
0
0
0
Yes
No
Unsure
10

PMH: A fib, CHF, HTN, COPD, GERD, MDD

What is C.S. CHADS2 Score?

What is her CHADS2VASc Score?

Any other risk stratification systems you
use?



Retrospective analysis
Centre Hospitalier Regional et Universitaire in Tours
(France) – all patients diagnosed w/ NVAF between
2000 and 2010
Exclusion criteria
› No hx chronic HF or echo LV function N/A
› Valvular dysfunction

Stratified into 4 categories – 1276 patients included
 Severe LV impairment w/ EF <35%
 Moderate LV impairment w/ EF 35-40%
 Mild LV impairment w/ EF 41-49%
 Normal LV Function w/ EF ≥ 50%*
*HFPEF defined as clinical HF w/ EF ≥ 50%

Results
› Comparing HFPEF & HFREF no statistical
differences in stroke, stroke/TE, all-cause
death, or bleeding
Which risk factor is the strongest , most
consistent independent risk factor for stroke?
1. CHF
2. HTN
3. Age > 75 years
4. Diabetes
5. Prior Stroke/TIA
0
0
0
0
0
CHF
HTN
Age > 75
years
Diabetes
Prior
Stroke/TIA
10

Methods
› 7 studies (6 independent cohorts)
› Systematic review using multivariate
regression analysis to identify independent
risk factors for stroke in patients with a fib

Results
›
›
›
›
›
Prior Stroke/TIA (RR 2.5, 95% CI 1.8-3.5)
Increasing Age (RR 1.5 per decade, 95% CI 1.3-1.7)
Hx HTN (RR 2.0, 95% CI 1.6-2.5)
Diabetes Mellitus (RR1.7, 95% CI 1.4-2.0)
HF (RR 1.4, 95% CI 0.8-2.3)
Observed absolute stroke rates for nonanticoagulated patients w/ single independent
risk factors

›
›
›
›
Prior Stroke/TIA: 6-9% per year
Age >75 years: 1.5-3%
Hx HTN: 1.5-3% per year
Diabetes: 2-3.5% per year
What would you recommend for C.S. based solely on
her CHADS₂ Score of 2 & CHADS₂VASc Score of 3?
1. No antithrombotic
therapy
2. ASA 75-325mg QD
3. Oral anticoagulant
0
0
0
No antithrombotic ASA 75-325mg QD Oral anticoagulant
therapy
10
What would you recommend for C.S. based on her
CHADS₂ Score of 2 & CHADS₂VASc Score of 3 and her history?
1. No antithrombotic
therapy
2. ASA 75-325mg QD
3. Oral anticoagulant
0
0
0
No antithrombotic ASA 75-325mg QD Oral anticoagulant
therapy
10
Evidence suggests diastolic heart failure
is as much a risk factor for stroke as
systolic heart failure
 Strongest Independent predictors of
stroke are Hx Stroke/TIA Increasing age,
Hx HTN & Diabetes

THANK- YOU!



Abraham, JoEllyn & Connolly, Stuart. Atrial fibrillation in heart failure: stroke
risk stratification and anticoagulation. Heart Fail Rev 2014, 19:305-313.
Springer Science + Business Media, New York. 21 Jan 2014.
Banerjee, et al. Ejection fraction and outcomes in patients with atrial
fibrillation and heart failure: the Loire Valley Atrial Fibrillation Project.
European Journal of Heart Failure 2012, 14, 295-301. 24 October 2011.
UpToDate: http://www-uptodatecom.proxy.lib.uiowa.edu/contents/image?imageKey=CARD/61615&topicKe
y=CARD%2F1031&source=outline_link&search=atrial+fibrillation%3A+anticao
gulation+to+prevent+thromboembolism&selectedTitle=2%7E150&utdPopup=
tru. Accessed 19 October 2015.