Advertisement






Click here for more guidelines.
CME Topic Collections Past Issues Search Current Issue Home
     

J Am Coll Cardiol, 2008; 51:1337-1341, doi:10.1016/j.jacc.2007.11.069
© 2008 by the American College of Cardiology Foundation
This Article
Right arrow Abstract Freely available
Right arrow Figures Only
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in Web of Science
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Web of Science (3)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Taylor, A. J.
Right arrow Articles by O’Malley, P. G.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Taylor, A. J.
Right arrow Articles by O’Malley, P. G.
Related Collections
Right arrowRelated Article

CLINICAL RESEARCH: CORONARY ARTERY DISEASE

Community-Based Provision of Statin and Aspirin After the Detection of Coronary Artery Calcium Within a Community-Based Screening Cohort

Allen J. Taylor, MD*,{dagger},*, Jody Bindeman, BSN*, Irwin Feuerstein, MD*,{dagger}, Toan Le, ScD*, Kelly Bauer, BSN*, Carole Byrd, LVN*, Holly Wu, MD* and Patrick G. O’Malley, MD, MPH*,{dagger}

* Departments of Medicine, Cardiology Service, Walter Reed Army Medical Center, Washington, DC
{dagger} Uniformed Services University of the Health Sciences, Bethesda, Maryland.

Manuscript received July 20, 2007; revised manuscript received November 14, 2007, accepted November 19, 2007.

* Reprint requests and correspondence: Dr. Allen J. Taylor, Chief, Cardiology Service, Walter Reed Army Medical Center, 6900 Georgia Avenue NW, Building 2, Room 4A34, Washington, DC 20307-5001. (Email: allen.taylor{at}na.amedd.army.mil).


    Abstract
 Top
 Abstract
 Methods
 Results
 Discussion
 Conclusions
 References
 
Objectives: We examined the association of coronary artery calcium (CAC) detected on a screening exam with subsequent statin and aspirin usage in a healthy male screening cohort.

Background: Whether the presence of CAC, an independent predictor of coronary heart disease outcomes, alters clinical management, such as the use of preventive medications, is unknown.

Methods: Men (n = 1,640) ages 40 to 50 years (mean 42 years) were screened for coronary heart disease risk factors and CAC. The CAC scores and risk factors were reported to patients, and results were made available in the electronic medical record; however, medications were not prescribed or recommended by the study. During up to 6 years of subsequent annual structured telephone follow-up, we observed the community-based initiation and persistence of aspirin and statin therapy.

Results: A progressive increase in the incidence of pharmacotherapy was noted over time such that those with CAC were 3 times more likely to receive a statin (48.5% vs. 15.5%, p < 0.001) and also significantly more likely to receive aspirin (53.0% vs. 32.3%; p < 0.001) than those without CAC. In multivariable models controlling for National Cholesterol Education Program risk variables and baseline medication use, CAC was strongly and independently associated with use of either statin (odds ratio [OR] 3.53; 95% confidence interval [CI] 2.66 to 4.69), aspirin (OR 3.05; 95% CI 2.30 to 4.05) or both (OR 6.97; 95% CI 4.81 to 10.10).

Conclusions: In this prospective cohort, the presence of coronary calcification was associated with an independent 3-fold greater likelihood of statin and aspirin usage.

Abbreviations and Acronyms
  CAC = coronary artery calcium
  LDL-C = low-density lipoprotein cholesterol
  NCEP = National Cholesterol Education Program


Multiple prospective observational studies have shown that coronary artery calcium (CAC) is an independent marker of cardiovascular risk providing incremental prognostic value over traditional and emerging risk markers (1). The incremental value of CAC testing for the detection of coronary heart disease risk has led the National Cholesterol Education Program (NCEP) (2), American Heart Association (3), and American College of Cardiology (1) to include CAC as a candidate component of the coronary risk assessment within published guidelines and expert consensus statements. However, these statements further note that there are no convincing data whether CAC screening alters clinical management (such as the use of preventive medications); thus this remains an important limitation to our understanding the clinical utility of cardiac computerized tomography as a screening test.

In this report, we present the prospective incidence of statin and aspirin usage observed during 6-year actuarial follow-up of the PACC (Prospective Army Coronary Calcium) Project cohort and its relationship to coronary heart disease risk factors and CAC. The principal, pre-specified aim of this analysis was to examine the independent association between CAC and subsequent use of pharmacotherapies to reduce cardiovascular risk.


    Methods
 Top
 Abstract
 Methods
 Results
 Discussion
 Conclusions
 References
 
This protocol was approved by the Department of Clinical Investigation of Walter Reed Army Medical Center and funded under the congressionally directed, peer-reviewed medical research program of the Department of Defense. Active duty Army personnel (n = 2,000), ages 40 to 50 years old, were recruited for cardiovascular risk screening and electron beam computed tomography at the time of periodic, physical examinations as previously detailed (4). Because of the low prevalence of CAC in women in this cohort, this analysis is limited to male participants (n = 1,640). The relationships among CAC, baseline coronary risk factors, and outcomes in the PACC Project have been previously reported (5–7). The finding of CAC in male PACC Project participants has been shown to be associated with an 11.8-fold increased risk for coronary heart disease events during mean 3-year follow-up (8).

PACC project procedures.   Each participant at study entry provided details of their medical history, lifestyle behaviors, and psychosocial history, and cardiovascular risk factors were measured (4). Validated instruments were used to assess for habitual physical activity (4,9); diet (10); general functional status; stress; criteria-based DSM-IV diagnoses of depression, anxiety, and somatoform disorders; functional status (11); depression; anxiety; and somatization (12). For the measurement of CAC, electron beam computed tomography was performed with an Imatron C-150 and C300 LXP scanners (Imatron Corp., South San Francisco, California) with the Agatston scoring method (13). A scan was considered positive for CAC when the total CAC score was >0.

Prospective determination of statin and aspirin usage.   Medications for the treatment of cardiovascular risk were neither specifically recommended nor provided under the study protocol. Participants were provided with the CAC score and measured risk factor values; however, pharmacotherapy was neither endorsed nor prescribed by the study except for prespecified extreme blood pressure values. After the enrollment visit, participants returned to the care of their primary care providers who determined all subsequent clinical management. The vital status of the PACC Project cohort was tracked through annual telephonic contacts, during which a structured interview was conducted. Data on current cardiovascular health and medications were recorded and medication use was confirmed for completeness through the use of the military’s electronic health record. Recorded medications included all commercially available statin medications during the duration of the study and aspirin. Medication usage was classified as either "ever use" or "persistent use." "Ever use" was determined when a participant reported usage of a medication on at least 1 follow-up interview. "Persistent use" was defined as reported use of a medication, once initiated, on all subsequent follow-up contacts.

Statistical methods.   The use of medication across time (ever use and persistent use) and the categorical and time-dependent relationships between CAC and statin and/or aspirin were described. We determined the appropriateness of statin use with NCEP guidelines and then stratified the cohort by CAC categories (CAC present or absent). For univariate analyses, continuous variables were compared with a t test for independent groups, and categorical variables were compared with the chi-square test. We conducted multivariable logistic regression for the dependent variables "ever use" or "persistent use" of medication (statin, aspirin, or both). Independent variables in this analysis included coronary risk variables as specified by the NCEP, CAC-identified as categorically present or absent, and other variables of interest with possible impact on medication-taking behavior (depression, somatization, education, income). All analyses were performed by expert statisticians (H.W., T.L.) with SPSS for Windows (version 13.0, SPSS Inc., Chicago, Illinois). Data are presented as mean ± SD. A 2-tailed p value of ≤ 0.05 was considered statistically significant.


    Results
 Top
 Abstract
 Methods
 Results
 Discussion
 Conclusions
 References
 
The prevalence of CAC was 22.4% (367 of 1,640) (Table 1). At the time of study entry, the use of statin or aspirin was noted in 94 (5.7%) and 197 (12.0%) participants, respectively. At study entry, those with CAC were significantly more likely to be receiving treatment with statins (9.8% vs. 4.6%; p < 0.001) or aspirin (19.6% vs. 9.8%; p < 0.001).


View this table:
[in this window]
[in a new window]

 
Table 1 Characteristics of the Study Participants
 
During follow-up, subsequent ever-use of a statin was noted in 23% of participants, including 48.5% of those with CAC and 15.5% of those without CAC (p < 0.001) with progressive divergence in the incidence of pharmacotherapy over time (Fig. 1). Statin users were significantly different than statin non-users with respect to all major cardiovascular risk variables (Table 2). A similar pattern of aspirin use was noted, with ever-use of aspirin noted in 31.2%, including 51.5% of those with CAC versus 25.3% of those without CAC (p < 0.001) (Fig. 2). Aspirin users were significantly different than aspirin non-users with respect to all major cardiovascular risk variables (Table 3). In multivariable logistic regression analysis, the presence of CAC was associated with a 3- to 7-fold greater likelihood of the use of statin, aspirin, or both after controlling for NCEP coronary risk factors (Table 4). These odds ratios were not attenuated after controlling for additional variables including depression, somatization, fitness, diet, income, and education.


Figure 1
View larger version (13K):
[in this window]
[in a new window]
[Download PPT slide]
 
Figure 1 Incidence of Statin Use During 6-Year Actuarial Follow-Up in the PACC Project Cohort

Men only; n = 1,640. Ever-use of a statin was noted in 23% of participants, including 48.5% of those with coronary artery calcium and 15.5% of those without coronary artery calcium (p < 0.001), which remained significant after controlling for National Cholesterol Education Program risk variables (odds ratio 3.53; 95% confidence interval 2.66 to 4.69).

 

View this table:
[in this window]
[in a new window]

 
Table 2 Characteristics of Participants Stratified by Statin Use Over 6 Years in the PACC Project
 

Figure 2
View larger version (13K):
[in this window]
[in a new window]
[Download PPT slide]
 
Figure 2 Incidence of Aspirin Use During 6-Year Actuarial Follow-Up in the PACC Project Cohort

Men only; n = 1,640. Ever-use of aspirin was noted in 31.2% of participants, including 51.5% of those with coronary artery calcium versus 25.3% of those without coronary artery calcium (p < 0.001), which remained significant after controlling for National Cholesterol Education Program risk variables (odds ratio 3.05; 95% confidence interval 2.30 to 4.05).

 

View this table:
[in this window]
[in a new window]

 
Table 3 Characteristics of Participants Stratified by Aspirin Use Over 6 Years in the PACC Project
 

View this table:
[in this window]
[in a new window]

 
Table 4 Multivariable Logistic Regression Models Demonstrating the Association of Baseline CAC With Subsequent Medication Usage With and Without Controlling for NCEP Risk Factors
 
We evaluated, among subjects not treated with statins at the time of entry into the study (n = 1,546), the initiation of statin medications during follow-up stratified by baseline NCEP low-density lipoprotein cholesterol (LDL-C) goal status and CAC categories. A total of 469 subjects (30.9%) were not at NCEP Adult Treatment Panel III LDL-C goal at study entry. Among these subjects, the proportion prescribed a statin during follow-up was significantly higher for those with CAC (66 of 110; 55.0%) than those without CAC (108 of 347, 31.1%; p < 0.001). Similarly, among subjects with a baseline LDL-C at NCEP goal, a greater proportion received a statin in follow-up (55 of 211; 26.1%) than those without CAC (54 of 868; 6.2%; p < 0.001).

The persistence of statin and aspirin use was examined in relation to the presence or absence of coronary calcium. Coronary calcium was not associated with a significantly greater persistence of either medication. Specifically, persistent statin use was observed in 86.6% (136 of 157) with CAC versus 79.1% (174 of 220; p = 0.06) of those without. Similarly, persistent aspirin use was observed in 79.4% (150 of 189) with CAC versus 82.6% (266 of 322; p = 0.36) of those without. Significant differences in medication persistence were not observed in multivariable analysis after adjustment for the number of NCEP risk factors present or depression, somatization, fitness, diet, income, and education.


    Discussion
 Top
 Abstract
 Methods
 Results
 Discussion
 Conclusions
 References
 
The PACC Project findings on medication use indicate that the identification of CAC substantially increases the proportion of subjects treated over time with aspirin, statin, or both. These findings from a community-based cohort of nonreferred study participants provide the first demonstration of an independent impact of anatomic-based subclinical atherosclerosis screening on patient management and lend additional support to recent recommendations for use of CAC testing to refine the cardiovascular risk assessment (1–3). Notably this association was incremental to and quantitatively stronger than the association of use of these medications with NCEP risk variables.

Despite these findings, preventive medications were still underused, as previously recognized in both primary and secondary prevention (14). Also, we found increased use of statin among individuals who had achieved their NCEP LDL-C goal, suggesting intensification of treatment beyond that recommended in current lipid treatment guidelines. Although there is interest in CAC identification as a motivational tool, the data to date suggest against an effect of CAC on long-term patient behavior (15). Consistent with this, our study did not find an association between CAC and medication persistence. A motivational effect of CAC is conceptually attractive, but medication persistence is a complex phenomenon determined less by a single health care interaction (a CAC scan) than by numerous factors over time in a longitudinal provider-patient relationship (15–18).

The military health care system is a large closed system of care that provides comprehensive and accessible health care and access to medications without insurance or cost barriers that might influence medication use patterns. The healthy cohort studied herein is notable for several unique characteristics, including generally low coronary calcium scores, high levels of medication persistence, and possibly higher levels of motivation to follow a healthy lifestyle. Although we relied on self-reported medication use, these were identified through a structured medical interview and were verifiable through electronic pharmacy records.


    Conclusions
 Top
 Abstract
 Methods
 Results
 Discussion
 Conclusions
 References
 
The presence of coronary calcification was associated with an independent 3-fold greater likelihood of statin and aspirin usage and more appropriate use of statins during 6-year follow-up within the PACC Project cohort. These findings support the concept that the identification of coronary calcium in a screening population leads to shifts in clinical patient management reflected in the provision of preventive cardiovascular pharmacotherapies.


    Footnotes
 
This work was fully supported by an independent, competitive grant award from the federally funded, congressionally directed, Peer Reviewed Medical Research Program, grant number ERMS 00239017-00216. Dr. Taylor has worked as a consultant for companies that market statin drugs (Merck and Pfizer). He receives grant support from Abbott Pharmaceuticals.


    References
 Top
 Abstract
 Methods
 Results
 Discussion
 Conclusions
 References
 
1. Greenland P, Bonow RO, Brundage BH, et al. ACCF/AHA 2007 clinical expert consensus document on coronary artery calcium scoring by computed tomography in global cardiovascular risk assessment and in evaluation of patients with chest pain: a report of the American College of Cardiology Foundation Clinical Expert Consensus Task Force (ACCF/AHA Writing Committee to Update the 2000 Expert Consensus Document on Electron Beam Computed Tomography) J Am Coll Cardiol 2007;49:378-402.[Free Full Text]

2. Grundy SM, Cleeman JI, Merz CN, et al. Implications of recent clinical trials for the National Cholesterol Education Program Adult Treatment Panel III Guidelines J Am Coll Cardiol 2004;44:720-732.[Abstract/Free Full Text]

3. Budoff MJ, Achenbach S, Blumenthal RS, et al. Assessment of coronary artery disease by cardiac computed tomography: a scientific statement from the American Heart Association Committee on Cardiovascular Imaging and Intervention, Council on Cardiovascular Radiology and Intervention, and Committee on Cardiac Imaging, Council on Clinical Cardiology Circulation 2006;114:1761-1791.[Free Full Text]

4. O’Malley PG, Taylor AJ, Gibbons RV, et al. Rationale and design of the Prospective Army Coronary Calcium (PACC) Study: utility of electron beam computed tomography as a screening test for coronary artery disease and as an intervention for risk factor modification among young, asymptomatic, active-duty United States Army Personnel Am Heart J 1999;137:932-941.[CrossRef][Web of Science][Medline]

5. Taylor AJ, Feuerstein IM, Wong H, Barko W, Brazaitis M, O’Malley PG. Do conventional risk factors predict subclinical coronary artery disease?. Results from the Prospective Army Coronary Calcium Project. Am Heart J 2001;141:463-468.[CrossRef][Web of Science][Medline]

6. Taylor AJ, Bindeman J, Bhattarai S, Feuerstein IM, O’Malley PG. Subclinical calcified atherosclerosis in men and its association with a family history of premature coronary heart disease in first- and second-degree relatives Prev Cardiol 2004;7:163-167.[CrossRef][Medline]

7. Arad Y, Spadaro LA, Goodman K, Newstein D, Guerci AD. Prediction of coronary events with electron beam computed tomography J Am Coll Cardiol 2000;36:1253-1260.[Abstract/Free Full Text]

8. Taylor AJ, Bindeman J, Feuerstein I, Cao F, Brazaitis M, O’Malley PG. Coronary calcium independently predicts incident premature coronary heart disease over measured cardiovascular risk factors: mean three-year outcomes in the Prospective Army Coronary Calcium (PACC) project J Am Coll Cardiol 2005;46:807-814.[Abstract/Free Full Text]

9. Baecke JA, Burema J, Frijters JE. A short questionnaire for the measurement of habitual physical activity in epidemiological studies Am J Clin Nutr 1982;36:936-942.[Abstract/Free Full Text]

10. Taylor AJ, Wong H, Wish K, et al. Validation of the MEDFICTS dietary questionnaire: a clinical tool to assess adherence to American Heart Association dietary fat intake guidelines Nutr J 2003;2:4.[CrossRef][Medline]

11. McHorney CA, Ware Jr. JE, Raczek AE. The MOS 36-Item Short-Form Health Survey (SF-36): II. Psychometric and clinical tests of validity in measuring physical and mental health constructs Med Care 1993;31:247-263.[Web of Science][Medline]

12. Spitzer RL, Kroenke K, Williams JB. Validation and utility of a self-report version of PRIME-MD: the PHQ primary care study. Primary Care Evaluation of Mental Disorders. Patient Health Questionnaire JAMA 1999;282:1737-1744.[Abstract/Free Full Text]

13. Agatston AS, Janowitz WR, Hildner FJ, Zusmer NR, Viamonte MJ, Detrano R. Quantification of coronary artery calcium using ultrafast computed tomography J Am Coll Cardiol 1990;15:827-832.[Abstract]

14. Ellis JJ, Erickson SR, Stevenson JG, Bernstein SJ, Stiles RA, Fendrick AM. Suboptimal statin adherence and discontinuation in primary and secondary prevention populations J Gen Intern Med 2004;19:638-645.[CrossRef][Web of Science][Medline]

15. O’Malley PG, Feuerstein IM, Taylor AJ. Impact of electron beam tomography, with or without case management, on motivation, behavioral change, and cardiovascular risk profile: a randomized controlled trial JAMA 2003;289:2215-2223.[Abstract/Free Full Text]

16. Vale MJ, Jelinek MV, Best JD, et al. Coaching patients On Achieving Cardiovascular Health (COACH): a multicenter randomized trial in patients with coronary heart disease Arch Intern Med 2003;163:2775-2783.[Abstract/Free Full Text]

17. Haskell WL, Alderman EL, Fair JM, et al. Effects of intensive multiple risk factor reduction on coronary atherosclerosis and clinical cardiac events in men and women with coronary artery disease. The Stanford Coronary Risk Intervention Project (SCRIP). Circulation 1994;89:975-990.[Abstract/Free Full Text]

18. O’Malley PG, Kowalczyk C, Bindeman J, Taylor AJ. A randomized trial assessing the impact of cardiovascular risk factor case-management on the metabolic syndrome J Cardiometab Syndr 2006;1:6-12.[CrossRef][Medline]


Related Article

Inside This Issue of JACC
J. Am. Coll. Cardiol. 2008 51: A33-A34. [Full Text] [PDF]



This article has been cited by other articles:


Home page
NEJMHome page
R. O. Bonow
Should Coronary Calcium Screening Be Used in Cardiovascular Prevention Strategies?
N. Engl. J. Med., September 3, 2009; 361(10): 990 - 997.
[Full Text] [PDF]


Home page
Arch Intern MedHome page
R. J. Gibbons and T. C. Gerber
Calcium Scoring With Computed Tomography: What Is the Radiation Risk?
Arch Intern Med, July 13, 2009; 169(13): 1185 - 1187.
[Full Text] [PDF]


Home page
Eur Heart JHome page
M. J. Budoff
Not all diabetics are created equal (in cardiovascular risk)
Eur. Heart J., September 2, 2008; 29(18): 2193 - 2194.
[Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Figures Only
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in Web of Science
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Web of Science (3)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Taylor, A. J.
Right arrow Articles by O’Malley, P. G.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Taylor, A. J.
Right arrow Articles by O’Malley, P. G.
Related Collections
Right arrowRelated Article

 
  CME Topic Collections Past Issues Search Current Issue Home

Advertisement