Title: LongTerm Prognosis Associated with Coronary Calcification
1Long-Term Prognosis Associated with Coronary
Calcification
Matthew J. Budoff, MD, Leslee J. Shaw, PhD, Sandy
T. Liu, Steven R. Weinstein, Tristen P.
Mosler, Philip H. Tseng, Ferdinand R.
Flores, Tracy Q. Callister, MD, Paolo Raggi, MD,
Daniel S. Berman, MD Published in JACC May 8,
2007
2Background
- Primary prevention interventions are often
focused on patients who are classified as
intermediate-risk or high-risk. - Stratification into risk groups is helpful but
can be imprecise when large proportions of
patients are considered to be at intermediate
risk. - Intermediate-risk patients receive cholesterol
therapy that can range from no therapy to a
low-density lipoprotein target lt100 mg/dl.
Budoff, et al. JACC 2007 49 1860-70
3Background
- More effective assessment of coronary heart
disease (CHD) risk might improve the outcome,
cost-effectiveness, and safety of primary
prevention efforts. - This study aimed to develop risk-adjusted
multivariable models that include risk factors
and coronary artery calcium (CAC) scores measured
with electron-beam tomography (EBT) in
asymptomatic patients for the prediction of
all-cause mortality.
Budoff, et al. JACC 2007 49 1860-70
4Study Design
A cohort of 25,253 consecutive, asymptomatic
individuals referred by their primary physician
for CAC scanning to assess cardiovascular risk
CAC scanning
CAC Score 0 44
CAC Score 1-10 14
CAC Score 11-100 20
CAC Score 101-400 13
CAC Score 401-1000 6
CAC Score gt1000 4
6.8 3 yrs. follow-up
Assessment of all-cause mortality
Budoff, et al. JACC 2007 49 1860-70
5Clinical Characteristics
- Of the 25,253 patients, the average age was 56
11 years with more than half being male and
having a family history of premature coronary
artery disease (CAD). - The prevalence of cardiac risk factors was as
follows family history of premature CAD (58),
hypercholesterolemia (18), hypertension (15),
smoking (9), and diabetes (4).
Budoff, et al. JACC 2007 49 1860-70
6Clinical Characteristics
- In the overall cohort, the average CAC score was
146 443. - In subsets with more extensive CAC scores,
patients were older and had more frequent cardiac
risk factors. Nearly one-half of the patients
with CAC scores 1000 were male (plt0.0001),
hypertensive (plt0.0001), hyperlipidemic
(plt0.0001), or had a family history of premature
CAD (p0.052).
Budoff, et al. JACC 2007 49 1860-70
7Cumulative Survival by Coronary Calcium Score
0 (n11,044)
1.00
1-10 (n3,567)
11-100 (n5,032)
0.95
101-299 (n2,616)
0.90
300-399 (n561)
Cumulative Survival
400-699 (n955)
0.85
700-999 (n514)
0.80
0.75
1,000 (n964)
0.70
0.0
2.0
4.0
6.0
8.0
10.0
12.0
Time to Follow-up (Years)
?21363, plt0.0001 for variable overall and for
each category subset.
Budoff, et al. JACC 2007 49 1860-70
8Cumulative Survival by the Coronary Calcium
Extent in the Number of Vascular Territories
1.00
0 Vessel (n24,340)
0.95
0.90
1 Vessel (n596)
Cumulative Survival
0.85
2 Vessel (n143)
0.80
3 Vessel (n28)
0.75
Left Main (n146)
0.70
0.0
2.0
4.0
6.0
8.0
10.0
12.0
Time to Follow-up (Years)
Budoff, et al. JACC 2007 49 1860-70
?2251, plt0.0001
9Cumulative Survival in Patients with No
Significant Calcium Score but with CAC Scores in
the Range of 11-100
1.00
0 Vessel (n19,302)
1 Vessel (n2,563)
0.95
2 Vessel (n1,432)
Cumulative Survival
0.90
3 Vessel (n848)
0.85
3 Vessel LM (n195)
0.80
0.00
2.00
4.00
6.00
8.00
10.00
12.00
Time to Follow-up (Years)
?2182, plt0.0001 for the variable and for each
category subset.
Budoff, et al. JACC 2007 49 1860-70
105-year and 12-year Survival from 2 EBT Centers
Nashville and Los Angeles
Survival rate ()
CAC Score
Budoff, et al. JACC 2007 49 1860-70
11Receiver Operating Characteristics Curves Noting
the Incremental Value of the Total Agatston
Scores Over and Above the Total Number of
Clinical Risk Factors as well as Age.
5a. Incremental Value of Agatston Score over the
Total Number of Cardiac Risk Factors
5b. Incremental Value of Agatston Score over the
Age
1.0
1.0
0.813 (0.794-0.832)
0.813 (0.794-0.832)
0.8
0.8
0.6
0.6
Sensitivity
0.771 (0.750-0.793)
0.611 (0.585-0.637)
0.4
0.4
0.2
0.2
plt0.0001
plt0.0001
0.0
0.0
0.0
0.2
0.4
0.6
0.8
1.0
0.0
0.2
0.4
0.6
0.8
1.0
1 - Specificity
1 - Specificity
ROC analysis for other indivduals risk factors
were less from 0.586 for sex, 0.440 for family
history, 0.573 for smoking, 0.577 fpr diabetes,
0.518 for ethnicity, 0.484 for hyperlipidemia,
and 0.562 for hypertension.
Budoff, et al. JACC 2007 49 1860-70
12Limitations
- The majority of patients in this study that were
referred for calcium scanning had cardiac risk
factors and, therefore, are not representative of
the general population. - There was incomplete information related to
cardiovascular risk factors, because these
measures were taken by survey rather than being
measured. - Information on subsequent therapy after calcium
scanning is unknown. It was previously
demonstrated that patients with higher calcium
burdens are more likely to maintain statin
therapy over 3-5 years. Therefore, higher
calcium scores are confounded by improved
anti-athersoclerotic therapies that would
possible lower cardiovascular mortality. - Also, the National Death Index data do not
include the cause of death. Therefore, this
studys models include mortality possibly
unrelated to athersoclerotic disease.
Budoff, et al. JACC 2007 49 1860-70
13Summary
- This large observational data series shows the
CAC provides independent incremental information
in addition to traditional risk factors in the
prediction of all-cause mortality. - The results marked a difference in survival at
6.8 years as the CAC scores increase from 0 to
gt1,000, which supports the notion that increasing
coronary atherosclerosis is a strong and
independent predictor of future cardiac events/ - Furthermore, the study shows that CAC provides
independent and incremental prognostic
information in addition to traditional risk
factors in the prediction of all-cause mortality.
Budoff, et al. JACC 2007 49 1860-70