1. Introduction
There is a well-established relationship between low-density lipoprotein cholesterol (LDL-C) levels and risk of cardiovascular events [1]. High-dose statin therapy (HIST) halts coronary plaque progression [2]. In addition, when achieving LDL levels of <70 mg/dL, statin therapy has the ability to reduce plaque burden, as documented in randomized controlled trials using intravascular ultrasound (IVUS) of the coronary arteries [2,3]. Independently of their plaque-regressive effects, IVUS data found statin therapy to induce coronary atheroma calcification [4].
Computed tomography (CT)-derived coronary artery calcification (CAC), as quantified by the Agatston score, is widely used as a surrogate marker of atherosclerotic burden in the coronary arteries and associates with cardiovascular events [5,6,7]. In mid- to long-term follow-up, statin therapy increases the CAC score as documented by serial non-contrast cardiac CT, suggesting that the plaque-stabilizing effect of statins may be reflected in a higher CAC score [8,9]. However, with a one-year follow-up, randomized controlled trials failed to detect an influence of HIST vs. low-to-intermediate-intensity statin therapy (LIST) on the progression of the Agatston and CAC volume score [10,11,12,13].
Coronary plaques with lower density including spotty calcifications may represent dynamic and early stages of atherosclerosis [14]. Likewise, investigators from the Multi-Ethnic Study of Atherosclerosis (MESA) described that CAC density was inversely related with cardiovascular disease risk [15,16]. These findings call for additional data, evaluating the effect of statin therapy on CAC density. Therefore, the rationale for this pooled analysis of individual patient data from two randomized controlled trials was to assess whether HIST, as compared LIST, would alter CAC density after one year.
2. Materials and Methods
2.1. Study Population
This meta-analysis includes data from two prospective, randomized, double-blind studies, the BELLES [11] and the EBEAT [10] trial (Supplementary Figure S1). Both studies were designed to examine potential effects of a one-year statin therapy on CAC changes. The BELLES trial included hypercholesterolemic postmenopausal mostly white women recruited in 96 US sites, treated with either Pravastatin 40 mg or Atorvastatin 80 mg [11]. The EBEAT trial included mostly men (75%), treated with either Atorvastatin 10 mg or 80 mg [10].
Both studies were designed to evaluate the influence of statin intensity on the changes of the CAC volume score. Patient-level data from both trials were stratified by intensity of statin therapy, as classified by AHA/ACC recommendations [17]. This resulted in one group of high intensity statin therapy (HIST, Atorvastatin 80 mg) and a second group of low-to-intermediate intensity statin therapy (LIST, Pravastatin 40 mg or Atorvastatin 10 mg). All patients with available baseline and follow-up CT scans and information on CAC density, Agatston score, lesion volume score, and the number of lesions were included. Patients with zero lesions at baseline (n = 4) or a mean lesion density below 130 HU (baseline CT scan: n = 12, follow-up CT scan: n = 5) were excluded. Patients with missing information regarding cholesterol or triglyceride levels at baseline or follow-up were excluded for the performed subgroup analysis. We calculated that a sample size of 722 patients would be sufficient to detect a difference in the change of CAC density between both groups of ≥2.5 HU (standard deviation of 12 HU) at 80% power (5% type 1 error rate) with 1:1 sampling ratio.
2.2. CAC Quantification
Details for the assessment of serial CAC measurements for each study have been described previously [10,11]. Briefly the BELLES trial pooled electron-beam computed tomography (EBCT) data of 35 sites all using C-150 Imatron scanners (GE/Imatron, California USA) with a standardized protocol. During a single breath 36–40 slices of 3 mm were obtained in a 100 ms scanning time and triggered at 60% RR interval. Time between baseline and follow-up EBCT was 52.0 ± 8.2 weeks.
The EBEAT trial used EBCT in nine different centers running a standardized protocol [10]. High-resolution EBCT in single-slice mode with continuous, non-overlapping slices of 3 mm thickness was applied with an acquisition time of 100 ms in a 26 cm2 field of view. Scans were triggered at 80% of RR interval and patients were asked to hold their breath. Follow-up EBCT was performed 54.8 ± 7.8 weeks after baseline examination. For the current analysis, we included information on the overall CAC volume, density, and the Agatston score, as well as the number of calcified lesions at baseline and follow-up.
2.3. Statistical Analysis
Continuous variables are reported as mean ± standard deviation (SD) when normally distributed and median (interquartile range: IQR) when non-normally distributed. Discrete variables are given in frequency and percentages. Lipid levels and CAC measures as well as their absolute change were compared in patients with HIST vs. LIST using a 2-sided t-test or a Mann–Whitney U test (for non-normal distributed variables). The correlation between baseline and follow-up CAC density was evaluated using the Pearson correlation coefficient. A subgroup analysis was performed in patients with baseline Agatston score of < vs. ≥100. As the primary endpoint of the present meta-analysis is based on an intention to treat analysis of the two underlying trials, we performed another subgroup analysis, stratifying patients into LDL reduction of ≥median and <median to evaluate whether potential discontinuation of the therapy or changes in lipid lowering strategies may have biased our results. To rule out that new calcified lesions may have influenced the results, we performed a sensitivity analysis, only including cases with identical numbers of lesions at baseline and follow-up.
All data analyses were performed using the SPSS (IBM, version 27) as well as R Studio (version 1.4.1103). Data from both studies were pooled using the Revman 5.3 software (The Cochrane Collaboration). A p-value of < 0.05 indicated statistical significance.
3. Results
Table 1 describes baseline characteristics for both studies included in this analysis (n = 852). The BELLES cohort (n = 476) included only female subjects with a mean age of 65.1 ± 6.2 years. The EBEAT trial included 376 patients with a mean age of 61.5 ± 8 years, of which 25% were women. Table 2 describes baseline and follow-up lipid levels at follow-up, where total cholesterol and LDL-cholesterol levels were lower in the HIST group.
In the overall cohort, all measured CAC parameters were higher after one year (CAC density: 228.8 ± 35.4 vs. 232.6 ± 37.0; p < 0.0001; Agatston score: 170.9 (79.5, 387.1) vs. 214.8 (94.6, 465.9); p < 0.0001 NP; Volume score: 135.6 (63.6, 313.4) vs. 168.4 (78.5, 370.1) p < 0.0001 NP; number of lesions: 6 (3,10) vs. 7 (4,12); p < 0.0001 NP, at baseline and follow-up, respectively). Table 3 depicts mean calcified density, the Agatston score, the CAC volume score, and the number of calcified lesions at baseline and follow-up, as well as their absolute changes in both treatment groups. There were no major differences regarding the change in any EBCT-derived CAC measurements at baseline and one-year follow-up in the HIST vs. LIST group. Figure 1 depicts the correlation between the calcification density at baseline and follow-up in both treatment groups, confirming that the overall high correlation between the density in serial measures was not different in the HIST vs. LIST group (r² = 0.74).
Table 4 shows the EBCT-derived lesion characteristics stratified according to the relative LDL reduction (< vs. ≥median (−62 mg/dL)), where again no significant difference in the change from baseline was noted. To gain further insights we executed different subgroup analyses. For comparison of early and later stages of CAC, we divided the cohort by baseline Agatston score < vs. ≥100. Again, stratifying by patients with HIST vs. LIST, we found no relevant difference in CAC density in any group (Supplementary Table S1). The subgroup analysis including only patients with identical numbers of lesions at baseline and follow-up, further confirmed no difference in CAC density and other CAC measures in the HIST vs. LIST group (Supplementary Table S2) at one year.
4. Discussion
In clinical practice, CAC scoring is used to identify patients at increased risk for future cardiovascular events [5,18]. In addition to traditional cardiovascular risk factors, CAC scoring enables identification of patients with the need for intensified risk factor modification including statin therapy [7,19,20]. Likewise, in primary prevention, only patients with the presence of CAC are likely to benefit from statin initiation [21]. Currently, effectiveness of statin therapy is monitored by serial laboratory assessments, while imaging-derived markers of cardiovascular risk are limited [19]. For CAC, its progression along with the individual’s age and gender specific percentile was found to follow a predictable pattern [22]. Moreover, rapid progression above the expected range of CAC progression is associated with increased event rates [23]. With 5 years of follow-up, the population-based Heinz Nixdorf Recall study found that statin therapy is independently associated with rapid CAC progression [8]. Likewise, in a post-hoc analysis of the St. Francis trial with a median follow-up of 4 years, CAC changes were higher in statin treated groups [9]. In contrast, randomized controlled trials with one-year follow-up did not find an effect of intensified lipid lowering therapy on the CAC progression [10,11,13]. Apart from the CAC volume score and the Agatston score, CAC density as an additional measure of coronary artery calcification has gained interest due to its inverse correlation with cardiovascular events [15], reflecting early and potentially vulnerable lesions [14]. As data on serial coronary IVUS imaging demonstrated statin therapy to stabilize these spotty lesions by increasing its calcification at 18 to 24 months follow-up [4], we evaluated whether CAC density may be an early non-invasive imaging marker of plaque stabilization following HIST. In this pooled analysis of two prospective randomized trials, we observed an expected overall progression of CAC but did not demonstrate differences in the effect of HIST vs. LIST on measured CAC density, number of lesions, or the Agatston or volume scoring after a one-year period. To account for (a) different effects of applied lipid-lowering therapy, (b) early or later stages of subclinical coronary artery disease, and (c) new onset of calcified lesions, we performed several subgroup and sensitivity analyses. However, we did not find any difference in all investigated CAC measures in any of these subgroups. Further research on other non-invasive imaging techniques, enabling quantification and characterization of the overall coronary plaque burden such as contrast-enhanced CT coronary angiography are needed to further evaluate the influence of intensified lipid lowering therapy on coronary atherosclerosis.
The present analysis is based on individualized patient data from two randomized controlled, double-blind clinical trials with inclusion of over 850 patients. The high standardization of both trials as well as identical measures for quantification of CAC are a strength of the present work. However, this analysis has several limitations. Most importantly, the duration of follow-up of one year is relatively short. As studies on longer follow-ups demonstrated that statin therapy led to higher CAC progression, further research is warranted, evaluating the long-term effects of lipid lowering therapy on CAC density. Moreover, both studies compared HIST vs. LIST. Therefore, the effect of statin therapy as compared to placebo on CAC density cannot be evaluated by our results. In addition, we cannot disregard unmeasured cofounding that may have biased the results, potentially caused by differences in inclusion/exclusion criteria in each trial. As such, the BELLES trial only included female patients. In contrast, the EBEAT trial included predominantly male subjects. However, we found stable effects that were confirmed in all investigated sensitivity and subgroup analyses.
5. Conclusions
After one year of treatment, HIST as compared to LIST leads to a higher reduction in cholesterol levels, which does not translate into a relevant difference in the change of lesion’s density when using serial non-contrast enhanced CT scans of the heart.
Conceptualization, A.A.M.; methodology, L.H.V.; validation, P.R., A.S., and A.A.M.; formal analysis, A.A.M. and I.D.; writing—original draft preparation, L.H.V.; writing—review and editing, A.A.M. and T.R.; visualization, L.H.V.; supervision, A.A.M. and T.R. All authors have read and agreed to the published version of the manuscript.
Not applicable.
All participants provided informed consent for participation within each trial and both protocols were approved by the respective Ethics Committees of participating centers. For the present pooled analysis, no additional informed consent was necessary. The study was conducted in accordance with the Declaration of Helsinki.
Not applicable.
This publication is based on research using data from data contributors Pfizer that has been made available through Vivli, Inc. Vivli has not contributed to or approved, and is not in any way responsible for, the contents of this publication. Author Lukas Vogel was supported as a Junior clinical Scientist within the University Medicine Essen Academy (UMEA) funded by the Faculty of Medicine, University of Duisburg-Essen.
The authors declare no conflict of interest.
Footnotes
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Figure 1. Correlation of the absolute lesion density at baseline and follow-up CT-scan, stratified by treatment group (LIST (blue) vs. HIST (yellow)) of the cohort of the BELLES and the EBEAT trials.
Baseline characteristics for each trial.
Raggi et. al. BELLES [ |
Schmermund et. al. EBEAT [ |
|
---|---|---|
Demographics | ||
Age, years | 65.1 ± 6.2 | 61.5 ± 8 * |
Sex (female), n (%) | 476 (100) | 92 (24.5) |
BMI, m/kg2 | 28.9 ± 5.6 | 27.6 ± 3.7 |
SBP > 130 mmHg, n (%) | 209 (43.9) | 237 (63.0) |
Smoking status, n (%) | ||
none | 190 (39.9) | 88 (23.4) |
current | 191 (40.1) | 100 (26.6) |
former | 95 (20.0) | 188 (50.0) |
Medication and CT-data | ||
Time between CT-scans, weeks | 52.0 ± 8.2 | 54.8 ± 7.8 |
HIST, n (%) | 218 (45.8) | 176 (46.8) |
* Data derived from original publication HIST: high intensity statin therapy; BMI: body mass index; SBP: systolic blood pressure; CT: computer tomography.
Baseline, follow-up, and change in lipid values in low-to-intermediate vs. high intensity statin therapy groups.
LIST | HIST | p-Value | |
---|---|---|---|
Total cholesterol | |||
Baseline, mg/dL | 246.2 ± 46.6 | 245.8 ± 46.8 | 0.9 |
Follow-up, mg/dL | 200.5 ± 36.9 | 168.8 ± 40.2 | <0.001 |
Change from baseline, mg/dL | −45.7 ± 41.9 | −77.0 ± 51.8 | <0.001 |
LDL-cholesterol | |||
Baseline, mg/dL | 164.0 ± 40.4 | 163.9 ±39.8 | 0.96 |
Follow-up, mg/dL | 118.3 ± 30.8 | 91.0 ± 35.3 | <0.001 |
Change from baseline, mg/dL | −45.8 ± 38.5 | −72.9 ± 46.0 | <0.001 |
HDL-cholesterol | |||
Baseline, mg/dL | 54.1 ± 13.9 | 52.9 ± 13.7 | 0.25 |
Follow-up, mg/dL | 56.5 ± 14.2 | 54.7 ± 13.5 | 0.08 |
Change from baseline, mg/dL | 2.4 ± 7.9 | 1.8 ± 8.3 | 0.29 |
Triglycerides | |||
Baseline, mg/dL | 156 (117, 214) | 179 (118, 227) | 0.17 |
Follow-up, mg/dL | 137.5 (100, 188.3) | 118 (87, 169) | <0.001 |
Change from baseline, mg/dL | −22.3 ± 74.6 | −48.4 ± 94.0 | <0.001 |
LIST: low-to-intermediate-intensity statin therapy; HIST: high-intensity statin therapy; HDL: High-density lipoprotein; LDL: Low-density lipoprotein.
Baseline, follow-up, and change in EBCT-derived lesion characteristics in patients with high intensity (HIST) and low-to-intermediate intensity statin therapy (LIST).
LIST (n = 458) | HIST (n = 394) | p-Value | |
---|---|---|---|
Densitiy of lesions | |||
Baseline, HU | 229.7 ± 35.3 | 227.8 ± 35.5 | 0.45 |
Follow-up, HU | 233.3 ± 37.7 | 231.9 ± 36.1 | 0.59 |
Change from baseline, HU | 3.6 ± 19.6 | 4.0 ± 19.1 | 0.73 |
Agatston score | |||
Baseline | 187.7 (82.4, 414,6) | 154.5 (75.6, 327.0) | 0.16 NP |
Follow-up | 238.2 (105.8, 482.3) | 184.8 (89.3, 416.6) | 0.10 NP |
Change from baseline | 53.4 ± 163.8 | 58.2 ± 180.2 | 0.68 |
CAC volume score | |||
Baseline, mm³ | 146.4 (66.8, 350.7) | 184.2 (81.8, 426.0) | 0.13 NP |
Follow-up, mm³ | 180.9 (80.5, 404.2) | 229.5 (103.8, 516.2) | 0.88 NP |
Change from baseline, mm³ | 41.4 ± 130.0 | 43.9 ± 111.2 | 0.78 |
Number of lesions | |||
Baseline, n | 6 (4, 11) | 6 (3, 10) | 0.27 NP |
Follow-up, n | 7 (4, 12) | 7 (4, 11) | 0.29 NP |
Change from baseline, n | 0.9 ± 3.6 | 0.8 ± 3.2 | 0.75 |
LIST: low-to-intermediate-intensity statin therapy; HIST: high-intensity statin therapy; HU: Hounsfield units; CAC coronary artery calcification. NP non-parametric.
Baseline, follow-up, and change in EBCT-derived lesion characteristics depending on LDL reduction of < vs. ≥median (−62 mg/dL).
LDL-Reduction ≥ Median (n = 357) | LDL-Reduction < Median (n = 360) | p-Value | |
---|---|---|---|
HIST, n (%) | 218 (61.1) | 111 (30.1) | - |
Densitiy of lesions | |||
Baseline, HU | 225.9 ± 33.6 | 230.8 ± 38.4 | 0.38 |
Follow-up, HU | 229.5 ± 37.4 | 232.8 ± 44.7 | 0.29 |
Change from baseline, HU | 3.6 ± 21.9 | 2.0 ± 24.3 | 0.35 |
Agatston score | |||
Baseline | 149.2 (69.9, 348.1) | 184.2 (85.2, 451.7) | 0.036 NP |
Follow-up | 180.8 (83.5, 420.5) | 238.6 (103.8, 530.0) | 0.032 NP |
Change from baseline | 47.0 ± 120.0 | 65.6 ± 146.7 | 0.063 |
CAC volume score | |||
Baseline, mm3 | 117.8 (58.6, 275.7) | 154.1 (69.4, 357.8) | 0.014 NP |
Follow-up, mm3 | 142.6 (68.4, 338.6) | 184.9 (83.3, 415.8) | 0.020 NP |
Change from baseline, mm3 | 36.4 ± 92.8 | 51.0 ± 115.3 | 0.062 |
Number of lesions | |||
Baseline, n | 6 (3, 10) | 7 (4, 12) | 0.017 NP |
Follow-up, n | 7 (3, 11) | 8 (4, 13) | 0.005 NP |
Change from baseline, n | 0.5 ± 3 | 1.0 ± 3.6 | 0.071 |
HIST: high-intensity statin therapy; HU: Hounsfield units; CAC: coronary artery calcification. NP non-parametric.
Supplementary Materials
The following supporting information can be downloaded at:
References
1. Mach, F.; Baigent, C.; Catapano, A.L.; Koskinas, K.C.; Casula, M.; Badimon, L.; Chapman, M.J.; De Backer, G.G.; Delgado, V.; Ference, B.A. et al. 2019 ESC/EAS Guidelines for the management of dyslipidaemias: Lipid modification to reduce cardiovascular risk: The Task Force for the management of dyslipidaemias of the European Society of Cardiology (ESC) and European Atherosclerosis Society (EAS): The Task Force for the management of dyslipidaemias of the European Society of Cardiology (ESC) and European Atherosclerosis Society (EAS). Eur. Heart J.; 2020; 41, pp. 111-188. [DOI: https://dx.doi.org/10.1093/eurheartj/ehz455]
2. Nissen, S.E.; Nicholls, S.J.; Sipahi, I.; Libby, P.; Raichlen, J.S.; Ballantyne, C.M.; Davignon, J.; Erbel, R.; Fruchart, J.C.; Tardif, J.-C. et al. Effect of very high-intensity statin therapy on regression of coronary atherosclerosis: The ASTEROID trial. JAMA; 2006; 295, pp. 1556-1565. [DOI: https://dx.doi.org/10.1001/jama.295.13.jpc60002]
3. Nissen, S.E.; Tuzcu, E.M.; Al, P.S. Effect of intensive compared with moderate lipid-lowering therapy on progression of coronary atherosclerosis: A randomized controlled trial. ACC Curr. J. Rev.; 2004; 13, pp. 18-1080. [DOI: https://dx.doi.org/10.1016/j.accreview.2004.04.030]
4. Puri, R.; Nicholls, S.J.; Shao, M.; Kataoka, Y.; Uno, K.; Kapadia, S.R.; Tuzcu, E.M.; Nissen, S.E. Impact of Statins on Serial Coronary Calcification during Atheroma Progression and Regression. J. Am. Coll. Cardiol.; 2015; 65, pp. 1273-1282. [DOI: https://dx.doi.org/10.1016/j.jacc.2015.01.036]
5. Detrano, R.; Guerci, A.D.; Carr, J.J.; Bild, D.E.; Burke, G.L.; Folsom, A.R.; Liu, K.; Shea, S.; Szklo, M.; Bluemke, D.A. et al. Coronary Calcium as a Predictor of Coronary Events in Four Racial or Ethnic Groups. N. Engl. J. Med.; 2008; 358, pp. 1336-1345. [DOI: https://dx.doi.org/10.1056/NEJMoa072100]
6. Detrano, R.C.; Anderson, M.; Nelson, J.; Wong, N.D.; Carr, J.J.; McNItt-Gray, M.; Bild, D.E. Coronary Calcium Measurements: Effect of CT Scanner Type and Calcium Measure on Rescan Reproducibility—MESA Study. Radiology; 2005; 236, pp. 477-484. [DOI: https://dx.doi.org/10.1148/radiol.2362040513]
7. Mahabadi, A.A.; Möhlenkamp, S.; Lehmann, N.; Kälsch, H.; Dykun, I.; Pundt, N.; Moebus, S.; Jöckel, K.-H.; Erbel, R. CAC Score Improves Coronary and CV Risk Assessment Above Statin Indication by ESC and AHA/ACC Primary Prevention Guidelines. JACC Cardiovasc. Imaging; 2016; 10, pp. 143-153. [DOI: https://dx.doi.org/10.1016/j.jcmg.2016.03.022]
8. Dykun, I.; Lehmann, N.; Kälsch, H.; Möhlenkamp, S.; Moebus, S.; Budde, T.; Seibel, R.; Grönemeyer, D.; Jöckel, K.H.; Erbel, R. et al. Statin Medication Enhances Progression of Coronary Artery Calcification: The Heinz Nixdorf Recall Study. J. Am. Coll. Cardiol.; 2016; 68, pp. 2123-2125. [DOI: https://dx.doi.org/10.1016/j.jacc.2016.08.040]
9. Henein, M.; Granåsen, G.; Wiklund, U.; Schmermund, A.; Guerci, A.; Erbel, R.; Raggi, P. High dose and long-term statin therapy accelerate coronary artery calcification. Int. J. Cardiol.; 2015; 184, pp. 581-586. [DOI: https://dx.doi.org/10.1016/j.ijcard.2015.02.072]
10. Schmermund, A.; Siffert, W.; Erbel, R.; Achenbach, S.; Budde, T.; Kerkhoff, G.; Buziashvili, Y.; Förster, A.; Friedrich, G.; Henein, M. et al. Response to Letter Regarding Article, “Effect of Intensive Versus Standard Lipid-Lowering Treatment with Atorvastatin on the Progression of Calcified Coronary Atherosclerosis Over 12 Months: A Multicenter, Randomized, Double-Blind Trial”. Circulation; 2006; 114, pp. e507-e508. [DOI: https://dx.doi.org/10.1161/CIRCULATIONAHA.106.630723]
11. Raggi, P.; Davidson, M.; Callister, T. Aggressive Versus Moderate Lipid-Lowering Therapy in Hypercholesterolemic Postmenopausal Women: Beyond Endorsed Lipid Lowering with EBT Scanning (BELLES). ACC Curr. J. Rev.; 2005; 14, 20. [DOI: https://dx.doi.org/10.1016/j.accreview.2005.10.025]
12. Arad, Y.; Spadaro, L.A.; Roth, M.; Newstein, D.; Guerci, A.D. Treatment of Asymptomatic Adults with Elevated Coronary Calcium Scores with Atorvastatin, Vitamin C, and Vitamin E: The St. Francis Heart Study Randomized Clinical Trial. J. Am. Coll. Cardiol.; 2005; 46, pp. 166-172. [DOI: https://dx.doi.org/10.1016/j.jacc.2005.02.089]
13. Terry, J.G.; Carr, J.J.; Kouba, E.O.; Davis, D.H.; Menon, L.; Bender, K.; Chandler, E.T.; Morgan, T.; Crouse, J.R. Effect of Simvastatin (80 mg) on Coronary and Abdominal Aortic Arterial Calcium (from the Coronary Artery Calcification Treatment with Zocor [CATZ] Study). Am. J. Cardiol.; 2007; 99, pp. 1714-1717. [DOI: https://dx.doi.org/10.1016/j.amjcard.2007.01.060]
14. Mori, H.; Torii, S.; Kutyna, M.; Sakamoto, A.; Finn, A.V.; Virmani, R. Coronary Artery Calcification and its Progression: What Does it Really Mean?. JACC Cardiovasc. Imaging; 2018; 11, pp. 127-142. [DOI: https://dx.doi.org/10.1016/j.jcmg.2017.10.012]
15. Criqui, M.H.; Denenberg, J.O.; Ix, J.H.; McClelland, R.L.; Wassel, C.L.; Rifkin, D.; Carr, J.J.; Budoff, M.J.; Allison, M. Calcium Density of Coronary Artery Plaque and Risk of Incident Cardiovascular Events. JAMA; 2014; 311, pp. 271-278. [DOI: https://dx.doi.org/10.1001/jama.2013.282535]
16. Criqui, M.H.; Criqui, M.H.; Knox, J.B.; Denenberg, J.O.; Forbang, N.I.; McClelland, R.L.; Novotny, T.E.; Sandfort, V.; Waalen, J.; Blaha, M.J. et al. Coronary Artery Calcium Volume and Density: Potential Interactions and Overall Predictive Value: The Multi-Ethnic Study of Atherosclerosis. JACC Cardiovasc. Imaging; 2017; 10, pp. 845-854. [DOI: https://dx.doi.org/10.1016/j.jcmg.2017.04.018]
17. Stone, N.J.; Robinson, J.G.; Lichtenstein, A.H.; Bairey Merz, C.N.; Blum, C.B.; Eckel, R.H.; Goldberg, A.C.; Gordon, D.; Levy, D.; Lloyd-Jones, D.M. et al. 2013 ACC/AHA Guideline on the Treatment of Blood Cholesterol to Reduce Atherosclerotic Cardiovascular Risk in Adults: A Report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. J. Am. Coll. Cardiol.; 2014; 63, pp. 2889-2934. [DOI: https://dx.doi.org/10.1016/j.jacc.2013.11.002]
18. Yeboah, J.; Mc Clelland, R.L.; Polonsky, T.S.; Burke, G.L.; Sibley, C.T.; O’Leary, D.; Carr, J.; Goff, D.C.; Greenland, P.; Herrington, D.M. Comparison of Novel Risk Markers for Improvement in Cardiovascular Risk Assessment in Intermediate-Risk Individuals. JAMA; 2012; 308, pp. 788-795. [DOI: https://dx.doi.org/10.1001/jama.2012.9624]
19. Arnett, D.K.; Blumenthal, R.S.; Albert, M.A.; Buroker, A.B.; Goldberger, Z.D.; Hahn, E.J.; Himmelfarb, C.D.; Khera, A.; Lloyd-Jones, D.; McEvoy, J.W. et al. 2019 ACC/AHA guideline on the primary prevention of cardiovascular disease: Executive summary: A report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. J. Am. Coll. Cardiol.; 2019; 74, pp. 1376-1414. [DOI: https://dx.doi.org/10.1016/j.jacc.2019.03.009]
20. Nasir, K.; Bittencourt, M.S.; Blaha, M.J.; Blankstein, R.; Agatson, A.S.; Rivera, J.J.; Miedema, M.D.; Sibley, C.T.; Shaw, L.J.; Blumenthal, R.S. et al. Implications of Coronary Artery Calcium Testing Among Statin Candidates According to American College of Cardiology/American Heart Association Cholesterol Management Guidelines: MESA (Multi-Ethnic Study of Atherosclerosis). J. Am. Coll. Cardiol.; 2015. 66, pp. 1657-1668.
21. Mitchell, J.D.; Fergestrom, N.; Gage, B.F.; Paisley, R.; Moon, P.; Novak, E.; Cheezum, M.; Shaw, L.J.; Villines, T.C. Impact of Statins on Cardiovascular Outcomes Following Coronary Artery Calcium Scoring. J. Am. Coll. Cardiol.; 2018; 72, pp. 3233-3242. [DOI: https://dx.doi.org/10.1016/j.jacc.2018.09.051] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/30409567]
22. Erbel, R.; Lehmann, N.; Churzidse, S.; Rauwolf, M.; Mahabadi, A.A.; Möhlenkamp, S.; Moebus, S.; Bauer, M.; Kälsch, H.; Budde, T. et al. Progression of coronary artery calcification seems to be inevitable, but predictable-results of the Heinz Nixdorf Recall (HNR) study. Eur. Heart J.; 2014; 35, pp. 2960-2971. [DOI: https://dx.doi.org/10.1093/eurheartj/ehu288] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/25062951]
23. Lehmann, N.; Erbel, R.; Mahabadi, A.A.; Rauwolf, M.; Möhlenkamp, S.; Moebus, S.; Kälsch, H.; Budde, T.; Schmermund, A.; Stang, A. et al. Value of Progression of Coronary Artery Calcification for Risk Prediction of Coronary and Cardiovascular Events: Result of the HNR Study (Heinz Nixdorf Recall). Circulation; 2018; 137, pp. 665-679. [DOI: https://dx.doi.org/10.1161/CIRCULATIONAHA.116.027034] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/29142010]
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Abstract
Background: Statin therapy promotes the progression of coronary artery calcification (CAC). Comparing patients on high (HIST) vs. low-to-intermediate intensity statin therapy (LIST), randomized controlled trials with a one-year follow-up failed to document a relevant difference in the Agatston score and CAC volume. We evaluated whether statin intensity modifies CAC density at one year. Methods: We performed a pooled analysis of two randomized-controlled trials (BELLES, EBEAT), comparing the effects of HIST (Atorvastatin 80 mg) vs. LIST (Pravastatin 40 mg, Atorvastatin 10 mg) on CAC measures after one year. The differences in CAC density and its change were compared using the two-sided t-test. Results: Data from 852 patients (66.7% female) with available baseline and follow-up CT were evaluated from both trials. HIST vs. LIST more effectively reduced LDL-cholesterol (annualized change: −45.8 ± 38.5 vs. −72.9 ± 46.0 mg/dL, p < 0.001). Mean CAC density increased from 228.8 ± 35.4 HU to 232.6 ± 37.0 HU (p < 0.0001) at one-year follow-up. Comparing patients on HIST vs. LIST, CAC density at follow-up (HIST: 231.9 ± 36.1 HU vs. LIST: 233.3 ± 37.7 HU, p = 0.59) and its change from baseline (HIST: 4.0 ± 19.1 HU vs. LIST: 3.6 ± 19.6 HU, p = 0.73) did not differ. Subgroup analyses, stratifying by LDL reduction (<median: 2.0 ± 24.3 HU, ≥median: 3.6 ± 21.9 HU, p = 0.34), Agatston score at baseline (<100: 2.6 ± 22.5 HU vs. 3.2 ± 25.6 HU, p = 0.82; ≥100: 4.8 ± 17.0 HU vs. 3.8 ± 16.6 HU, p = 0.44, for HIST vs. LIST; respectively), and equal number of lesions in both CT scans (3.7 ± 20.3 HU vs. 7.0 ± 22.2 HU, p = 0.24) showed similar results. Conclusion: HIST vs. LIST leads to a higher reduction in cholesterol levels, which does not translate into relevant differences in the change of CAC density at one-year follow-up.
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Details


1 West German Heart and Vascular Center, Department of Cardiology and Vascular Medicine, University Hospital Essen, 45147 Essen, Germany
2 Department of Medicine Division of Cardiology, Alberta Heart Institute, University of Alberta, Edmonton, AB T6G 2R3, Canada
3 Cardioangiological Center Bethanien, CCB, 60431 Frankfurt am Main, Germany