Author Disclosure Sex Differences in the Characteristics of Patients Receiving ICD Therapy for the...
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Transcript of Author Disclosure Sex Differences in the Characteristics of Patients Receiving ICD Therapy for the...
Author Disclosure
• Sex Differences in the Characteristics of Patients Receiving ICD Therapy for the Primary Prevention of Sudden Cardiac Death– Stacie L. Daugherty MD, MSPH - None– Pamela N. Peterson MD, MSPH - None– Yongfei Wang MS - None– Jeptha P. Curtis MD - None– Paul A. Heidenreich MD - None– Harlan M. Krumholz MD, SM - None– Humberto J. Vidaillet MD - None– Frederick A. Masoudi MD, MSPH – None– On behalf of the NCDR
Sex Differences in the Characteristics of Patients
Receiving ICD Therapy for the Primary Prevention of Sudden
Cardiac Death
Stacie Luther Daugherty, MD, MSPHAssistant Professor of Medicine, Cardiology DivisionUniversity of Colorado at Denver Health Sciences Center
Background
• Studies suggest fewer women receive ICD therapy for 1º prevention
• Reasons for sex difference unknown– Fewer eligible women– Fewer eligible women referred– Differences in application of trial criteria:
overuse in men?
Davis DR, Europace 2006;8:1054; Gauri AJ, Am J Med 2006;119:167.e17; Curtis LH, JAMA 2007;298(13)1517; Hernandez AF, JAMA 2007;298(13):1525; Moss AJ, NEJM 2002;346(12):877-83; Bardy GH, NEJM 2005;352(3):225-37; Gregoratos G, Circ 2002;106:2145; Hunt SA, Circ 2005; 112
Objective
• Compare the proportion of women and men meeting trial criteria for the 1º prevention of SCD
Hypothesis: More women than men meet strict trial criteria.
Data Source:NCDR-ICD™ Registry
• Initiated in 2005• Participation mandated by CMS for
reimbursement for 1o prevention ICD• Standardized data elements and definitions
– Patient characteristics– Device type and programming– Health system information– In-hospital outcomes
Study Population
108,341
85,730
59,833
16,079 (26.9%)Women
43,754 (73.1%)Men
115 Missing Gender40,195 ICD for 2º Prev
8,228 Previous ICD
Jan 2005-April 2007
Study Cohort
Outcome: Met Trial Criteria
• H/O Myocardial Infarction (MADIT-II)– MI > 40 days AND– LVEF ≤ 30% AND– NYHA I-III
• H/O Heart Failure (SCD-HeFT)– LVEF ≤ 35% AND– NYHA class II or III
• If NYHA IV– Met either above criteria AND– Intraventricular conduction delay AND– Biventricular ICD
Moss AJ, NEJM 2002;346(12):877-83; Bardy GH, NEJM 2005;352(3):225-37; Gregoratos G, Circ 2002;106:2145; Hunt SA, Circulation 2005; 112
Analyses
• Compared baseline characteristics between women and men
• Assessed association between sex and concordance with trial enrollment criteria– Adjustment for demographics, clinical
and health system characteristics• Stratified by age
Baseline CharacteristicsWomen
N=16,079Men
N=43,754
Age (mean, +/- SD) 67.6 ± 13 68.2 ± 12*
Ischemic cardiomyopathy 51.1 71.6*
History of Heart Failure 88.3 83.2 *
NYHA: I II III IV
7.329.857.25.8
10.1*35.350.04.7
LVEF (mean, +/- SD) 24.8 ± 8.5 24.9 ± 7.8
Medicare/Medicaid 77.3 75.3*
All expressed as a % unless otherwise stated *p<0.001
Unadjusted Analyses:Met Trial Criteria
0
10
20
30
40
50
60
70
80
90
100
Overall NYHA criteria EF criteria MI > 40 days
Women
Men
*
*p<0.001
Pro
port
ion
*
Multivariable Analysis: Met Trial Criteria
0.5 1.0 1.5
Unadjusted
+Admission Char
+History, NYHA
+Diagnostics
+Physician Char
+Hosp CharFully Adjusted
Fewer Women More Women
OR (95% CI)
1.03 (0.98-1.08)
1.01 (0.96-1.01)
1.11 (1.05-1.17)
1.09 (1.03-1.15)
1.09 (1.03-1.15)
1.09 (1.03-1.15)
Multivariable Analysis: Stratified by Age
0.5 1.0 1.5Fewer Women More Women
Unadjusted
Fully Adjusted
Unadjusted
Fully Adjusted
OR (95% CI)
1.16 (1.08-1.25)
1.10 (1.03-1.18)
1.02 (0.93-1.12)
0.94 (0.86-1.02)
Age<65 (n=20,285)
Age≥65 (n=39,548)
Interaction: p=0.002
Conclusions
• Most patients who receive ICD therapy for 1º prevention meet MADIT- II or SCD-HeFT criteria
• Women were slightly more likely than men to have met these criteria
Limitations
• Lack of denominator of potentially eligible patients
• Unable to examine referral bias or patient preferences
• Cases of 1º prevention for other indications
Comparison to Prior Studies
• Low representation of women in observational and clinical trials
• Recent study suggests fewer eligible women receive ICD for 1º prevention – OR 0.62, 95% CI 0.56-0.68
Davis DR, Europace 2006;8:1054; Gauri AJ, Am J Med 2006;119:167.e17; Curtis LH, JAMA 2007; 298(13)1517; Hernandez AF, JAMA 2007;298(13):1525
Implications
• Characterize upstream factors affecting ICD implant
• Variation by age groups• Importance of national registry for
surveillance of cardiovascular technology