Skip to main content
American Health & Drug Benefits logoLink to American Health & Drug Benefits
. 2016 Nov;9(8):434–444.

Clinical Characteristics and Unmet Need Among Patients with Atherosclerotic Cardiovascular Disease Stratified by Statin Use

Qing Huang 1, Michael Grabner 2, Robert J Sanchez 3, Vincent J Willey 4, Mark J Cziraky 5, Swetha R Palli 6, Thomas P Power 7
PMCID: PMC5394554  PMID: 28465771

Abstract

Background

The American College of Cardiology (ACC)/American Heart Association (AHA) 2013 guidelines for blood cholesterol treatment recommend high-intensity statins for adults with atherosclerotic cardiovascular disease (ASCVD). Currently, little is known about the real-world patient characteristics of ASCVD, as well as the clinical and economic consequences of different treatment options for this disease.

Objectives

To compare the demographic, clinical, and economic characteristics of patients with clinical ASCVD who started therapy with high-intensity statins, low-/moderate-intensity statins, or no statins in usual-care settings based on data primarily before the release of the ACC/AHA 2013 guidelines.

Methods

This retrospective, observational cohort study used claims data from US commercial health plans from January 2006 to June 2014 to identify patients with ASCVD (ie, acute coronary syndrome, coronary heart disease, ischemic stroke, or peripheral arterial disease). High-intensity, low-/moderate-intensity statin users and non–statin users were selected based on the presence of a corresponding prescription fill. The index date was defined as the first statin fill date for the statin cohorts and the earliest eligibility date for clinical ASCVD for the non–statin users group. The follow-up outcomes, including treatment patterns, cardiovascular (CV) events, and healthcare utilization and costs, were assessed after matching the high-intensity statin and low-/moderate-intensity statin initiators.

Results

A total of 273,308 patients with ASCVD were included in the study; of these, 104,649 were statin initiators and 168,659 non–statin users. Only 8.8% (N = 24,106) of the total population initiated high-intensity statins. Patient adherence (defined as proportion of days covered ≥80%) to statin therapy was low in the matched high-intensity statin and low-/moderate-intensity statin cohorts (27.0% vs 26.4%, respectively). Approximately 16% of the patients in either of the matched cohorts had at least 1 CV event during the available follow-up period.

Conclusion

The low percentage of patients who initiated high-intensity statin therapy, low adherence to statin therapy, and high rates of CV events during the follow-up period suggest a substantial unmet need among patients with ASCVD in the real-world setting. The demographic and clinical heterogeneity across the cohorts suggests significant variability in physician perception of the appropriate use of statins and may provide an opportunity to improve care and health outcomes in these high-risk patients.

Keywords: atherosclerotic cardiovascular disease, cardiovascular events, cholesterol guidelines, high-intensity statins, lowering low-density lipoprotein cholesterol, low-/moderate-intensity statins, statin therapy


KEY POINTS

  • Current cholesterol treatment guidelines recommend high-intensity statins for adults with atherosclerotic cardiovascular disease (ASCVD).

  • Using claims data, this retrospective study compared outcomes in patients with clinical ASCVD who used high-intensity versus low-/moderate-intensity statin therapy.

  • Only 38% of the 273,308 patients with ASCVD initiated statin therapy in this study, and only 8.8% used high-intensity statins.

  • Overall, 25.3% of patients who did not use statins had ischemic stroke versus 16.9% in low-/moderate-intensity statin users, and 8.8% in high-intensity statin users.

  • Approximately 16% of the patients in either of the statin cohorts had at least 1 CV event during follow-up.

  • The differences in all-cause healthcare resource utilization and costs during follow-up across the cohorts were small but significant, with higher costs in the high-intensity statin cohort.

  • This study shows that in patients who are prescribed statins, the doses are rarely titrated, and adherence continues to be suboptimal.

  • These findings suggest that a significant paradigm shift must occur in statin utilization in patients with ASCVD to improve outcomes.

The benefits of statin therapy in reducing cardiovascular (CV) events are immense. In numerous studies, lowering low-density lipoprotein cholesterol (LDL-C) levels with statin therapy has been shown to reduce rates of major adverse CV events, such as myocardial infarction (MI) and stroke.15 Furthermore, randomized controlled studies have also demonstrated that treatment with high-intensity statins compared with low-/moderate-intensity statins (including all other statins and doses not listed below) is associated with increaded CV outcomes benefit.6

The 2013 American College of Cardiology (ACC) and American Heart Association (AHA) guidelines focus on lowering LDL-C levels using statin therapies to reduce the risk for atherosclerotic CV disease (ASCVD) events.7 High-intensity statins are defined as statin doses that reduce LDL-C by ≥50%, including atorvastatin 40 mg and 80 mg, and rosuvastatin 20 mg and 40 mg. The ACC/AHA guidelines identify 4 statin benefit groups for whom treatment with statins resulted in a net patient benefit.7 In 3 of the 4 statin benefit groups, the use of high-intensity statins is recommended for (1) patients with clinical ASCVD who are aged ≤75 years; (2) patients with primary elevations of LDL-C levels ≥190 mg/dL; and (3) patients with diabetes aged 40 to 75 years, with LDL-C of 70 mg/dL to 189 mg/dL and an estimated 10-year ASCVD risk of ≥7.5% (defined as nonfatal MI, coronary heart disease [CHD] death, and nonfatal or fatal stroke).7

Historically, physician adherence to published dyslipidemia management guidelines has been suboptimal.8 Therefore, it is likely that patients will receive low-/moderate-intensity statin treatment or continue to not receive therapy, thereby foregoing the potential benefits of high-intensity statin therapy.7,9,10 Insights into CV outcomes in these scenarios would be invaluable; however, real-world evidence on the outcomes of high-intensity statin therapy compared with low-/moderate-intensity therapy or nonstatin therapy in the 3 statin benefit groups is currently limited.

The purpose of this study was to focus on patients with clinical ASCVD (statin benefit group 1) who are at highest risk for CV events among the 3 statin benefit groups. Specifically, our objective was to use historical data from primarily before the release of the 2013 ACC/AHA guidelines to evaluate the demographic characteristics, clinical and economic outcomes, and treatment patterns of patients with clinical ASCVD who initiated high-intensity versus low-/moderate-intensity statin therapy or nonstatin therapy.

Methods

In this retrospective, observational cohort study, we deidentified data in accordance with all applicable Health Insurance Portability and Accountability Act requirements; therefore, Institutional Review Board approval was not required.

We used medical and pharmacy administrative claims, as well as laboratory results, between January 1, 2006, and June 30, 2014, from the HealthCore Integrated Research Database, a large data repository of health plan enrollee information from 14 geographically diverse US health plans, to obtain clinical and economic data on patients who initiated high-intensity or low-/moderate-intensity statin therapies or those who did not use statin therapy. The index date was defined as the first claim for a statin for patients in the statin cohorts, or as the earliest diagnosis date for ASCVD for the nonstatin cohort. Patients between the ages of 21 and 75 years with ≥12 months of preindex and ≥3 months of postindex (including index date) continuous enrollment and at least 1 ASCVD condition were eligible for inclusion. The baseline period was defined as the 1-year period before the index date, whereas the follow-up period included all of the available time after (and including) the index date. All available data before the index date were used to identify patients with ASCVD.

For the purpose of this study, we adopted the ACC/AHA definition of clinical ASCVD, which includes those with acute coronary syndrome (ACS), CHD (eg, MI, angina, and coronary artery stenosis), as well as stroke or transient ischemic attack (TIA) and peripheral arterial disease. Individual ASCVD conditions were identified by International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) diagnosis codes and procedure codes in the Current Procedural Terminology (CPT; fourth edition) Healthcare Common Procedure Coding System Level II. We ensured that the selected codes represented conditions in which statins would be indicated. A complete list of codes is provided online in the Appendix, Table 1 (see AHDBonline.com). Patients with ischemic stroke and a history of atrial fibrillation or valvular disease were excluded, because the cause of the stroke may not be atherogenic. In addition, patients with previous use of lipid-lowering therapy in the baseline period, or those who had initiated multiple statin therapies on the index date, were excluded from the analysis.

We stratified statin initiators into high-intensity statin initiators (ie, patients using atorvastatin 40 mg or 80 mg, rosuvastatin 20 mg or 40 mg, or simvastatin 80 mg) and low-/moderate-intensity statin initiators (ie, patients starting all other statins and doses). Patients with clinical ASCVD (group 1) who did not have a claim for a statin during the study period were assigned to the “no statin therapy” group.

Outcome Metrics

CV event rates and mortality were assessed via inpatient or emergency department claims with relevant ICD-9-CM diagnosis and procedure codes and through linking to Social Security Death Index (SSDI) records over the entire follow-up period for each patient. The CV outcomes included nonfatal and fatal events, including MI, unstable angina, stroke, coronary revascularization, and TIA. Mortality was based on observed death from SSDI records or a hospital discharge status of “deceased” from claims, and was considered CV-related if the patient had ≥1 inpatient stays or emergency department visits with a CV event as a primary diagnosis within 30 days before or on the date of death.

Healthcare resource utilization and costs were assessed over a 1-year follow-up period among patients with ≥12-month postindex continuous enrollment. Medical encounters were considered to be CV-related if the claims contained ICD-9-CM diagnosis or procedure codes or CPT codes for CV outcomes and related procedures. Similarly, pharmacy claims for statins, combination statins, and nonstatin lipid-lowering medications were considered as CV-related pharmacy dispensing.

Treatment patterns were assessed among the patients with ≥12-months postindex continuous enrollment. Treatment discontinuation was defined as exceeding the “permissible gap” between fills (45 days past the last supply date of index statin fill during the follow-up period). Restarting therapy was defined as ≥1 refills of the index statin after the discontinuation of the index statin during follow up. Proportion of days covered (PDC) was used to measure adherence and was defined as the number of days during follow-up on which the patient had the index statin (or statin of similar intensity) available based on prescription claims, divided by the number of days in the follow-up period. The patients were categorized as adherent if the PDC was ≥80%.

Switching therapy was defined as the receipt of a nonindex drug of interest with no further refills of the index statin therapy. Switching to similar or different intensity statins, as well as combination statin therapy and nonstatin lipid-lowering drugs, was determined.

LDL-C level was assessed at baseline for the subset of patients with available laboratory results. The laboratory result closest to and preceding the index date was used. For follow-up, the result closest to and preceding the index date plus 365 days was used. Consistent with the National Cholesterol Education Program Adult Treatment Panel III clinical guidelines that were available during the study,11 goal attainment was defined using those guidelines.11,12 Changes in laboratory values (from preindex to the end of 12 months postindex) were determined.

To improve baseline balance before the comparison of the follow-up outcomes, propensity score matching of high-intensity versus low-/moderate-intensity statin users was performed. For this purpose, the subgroup of statin users was stratified into 5 mutually exclusive ASCVD groups based on the clinical categories of ACS (MI or unstable angina requiring hospitalization within 12 months before the index date); CHD with a history of MI of >12 months; CHD without a history of MI; ischemic stroke; and peripheral arterial disease.

Matching was performed separately within each of the 5 subgroups to obtain the matched samples, which were then pooled for analysis. For the propensity score model, 1:1 nearest-neighbor matching was used with caliper width equal to 0.2 of the standard deviation (SD) of the logit of the propensity score,13 and was performed with the R statistical software package (R Development Core Team, R Foundation for Statistical Computing; Vienna, Austria). Balance before and after matching was assessed using standardized mean differences14 and statistical testing. A list of variables included in the propensity score model is available in the Appendix, Table 2 (see www.AHDBonline.com).

Descriptive statistics were used to report the baseline and follow-up characteristics. Chi-square tests were used to determine any statistical difference across categorical variables; t-tests were used for continuous variables, including costs. Multivariable generalized linear models with a log link and gamma distribution15 were used for the analysis of cost outcomes. Comparisons were made across the 2 statin user cohorts and 1 non–statin user cohort at baseline, and across the high-intensity statin cohort and the low-/moderate-intensity statin cohort in the postmatch sample during follow-up. These statistical analyses were performed using SAS version 9.4 (SAS Institute; Cary, NC).

Results

Of the 273,308 patients with ASCVD meeting the inclusion criteria (see Appendix, Tables 3a and 3b, at www.AHDBonline.com), there were 24,106 (8.8%) high-intensity statin initiators, 80,543 (29.5%) low-/moderate-intensity statin initiators, and 168,659 (61.7%) non–statin users. As anticipated, the demographic and clinical characteristics were different between the 3 cohorts (Table 1). The mean age of the high-intensity statin initiators was 56.6 years (SD, 9.17) compared with 57.4 years (SD, 9.41) and 53.6 years (SD, 12.01) for patients initiating low-/moderate-intensity and no statin therapy, respectively (P <.001). Female patients made up 43.9% of the total population and constituted 26.7% of the high-intensity initiators, 39.4% of the lower-intensity statin initiators, and 48.5% of the non–statin users.

Table 1.

Prematching Baseline: Demographic and Clinical Characteristics by Statin Intensity in Statin Benefit Group 1

Demographic and clinical characteristics High-intensity statin initiators [A] (N = 24,106) Low-/moderate-intensity statin initiators [B] (N = 80,543) Non–statin users [C] (N = 168,659) P value [A] vs [B] P value [A] vs [C]
Female, N (%) 6448 (26.7) 31,753 (39.4) 81,743 (48.5) <.001 <.001
Age at index, yrs, mean (SD) 56.6 (9.17) 57.4 (9.41) 53.6 (12.01) <.001 <.001
Medicare Advantage, N (%) 2902 (12.0) 12,122 (15.1) 18,548 (11.0) <.001 <.001
Prescribing physician specialty, N (%), selected
  Cardiology 11,569 (48.0) 26,375 (32.7) <.001
  Family/general practice 3672 (15.2) 21,745 (27.0) <.001
  Internal medicine 3925 (16.3) 17,541 (21.8) <.001
ASCVD group, hierarchical, mutually exclusive, N (%)
  ACS 13,324 (55.3) 23,955 (29.7) 41,086 (24.4) <.001 <.001
  CHD with history of MI 1224 (5.1) 4616 (5.7) 11,908 (7.1) <.001 <.001
  CHD with no history of MI 6535 (27.1) 30,570 (38.0) 55,786 (33.1) <.001 <.001
  Ischemic stroke 2112 (8.8) 13,620 (16.9) 42,679 (25.3) <.001 <.001
  PAD 911 (3.7) 7782 (9.7) 17,200 (10.2) <.001 <.001
Baseline comorbidities
  Quan-Charlson Comorbidity Index, mean (SD) 1.9 (1.75) 2.0 (1.88) 2.2 (2.25) .100 <.001
  Congestive heart failure, N (%) 4339 (18.0) 13,233 (16.4) 23,843 (14.1) <.001 <.001
  Type 1 or 2 diabetes, N (%) 6011 (24.9) 21,603 (26.8) 33,094 (19.6) <.001 <.001
  Chronic kidney disease, N (%) 1475 (6.1) 5479 (6.8) 12,390 (7.3) <.001 <.001
  Anxiety, N (%) 2500 (10.4) 10,151 (12.6) 30,669 (18.2) <.001 <.001
  Depression, N (%) 2002 (8.3) 8406 (10.4) 24,695 (14.6) <.001 <.001
  Hypertension, N (%) 17,385 (70.3) 60,746 (72.3) 105,782 (60.2) <.001 <.001
  Obesity, N (%) 3720 (15.1) 11,606 (13.8) 25,278 (14.4) <.001 .005
Baseline medication use, N (%)
  Antihypertensive agents 11,838 (49.1) 47,361 (58.8) 74,055 (43.9) <.001 <.001
  Antidiabetic agents 3151 (13.1) 12,770 (15.9) 15,637 (9.3) <.001 <.001
  Prescription omega-3 fatty acids 179 (0.7) 795 (1.0) 1068 (0.6) .001 .048
  Antiplatelets/anticoagulants 3667 (15.2) 13,815 (17.2) 20,492 (12.1) <.001 <.001
  Peripheral arterial claudication medications 166 (0.7) 730 (0.9) 918 (0.5) .001 .005

ACS indicates acute coronary syndrome; ASCVD, atherosclerotic cardiovascular disease; CHD, coronary heart disease; MI, myocardial infarction; PAD, peripheral arterial disease; SD, standard deviation.

Among patients initiating high-intensity statins, 48% received their prescription from a cardiologist compared with 32.7% of patients initiating low-/moderate-intensity statins. The proportion of patients with ACS was greater among high-intensity statin users (55.3%) than low-/moderate-intensity statin initiators (29.7%; P <.001). Among patients who were not using any statin therapy, only 24.4% had ACS. By contrast, the proportion of patients with ischemic stroke was highest in the non–statin users cohort (25.3% vs 8.8% in high-intensity statin users and 16.9% in low-/moderate-intensity statin users). Type 1 or 2 diabetes was reported in 24.9% of the high-intensity statin users and in 26.8% of the low-/moderate-intensity statin users compared with 19.6% of the non–statin users (P <.001).

The matching process resulted in 23,340 pairs of high-intensity statin and low-/moderate-intensity statin initiators, whose baseline demographic, clinical, and economic characteristics were well-balanced (see Appendix, Table 4, at www.AHDBonline.com). For all outcomes except CV event incidence and mortality, patients with ≤12 months of follow-up enrollment were removed after matching, which resulted in a sample size of 16,793 high-intensity statin initiators and 16,964 low-/moderate-intensity statin initiators for those outcomes.

Treatment discontinuation rates among the high-intensity statin and low-/moderate-intensity statin initiators were 81.1% and 82%, respectively, over 12 months of follow-up (Table 2). The mean adherence rates as measured by PDC were 0.5 (SD, 0.35) in both groups, and similar fractions of patients were classified as adherent (27.0% vs 26.4%, respectively; P = .181).

Table 2.

Postmatching Follow-Up: Statin Therapy Treatment Patterns Among Statin Users in Statin Benefit Group 1

Postindex treatment patterns High-intensity statin initiators (N = 16,793) Low-/moderate-intensity statin initiators (N = 16,964) P value
Index medication groups, N (%)
  Atorvastatin 11,957 (71.2) 3902 (23.0) <.001
  Rosuvastatin 2163 (12.9) 1412 (8.3) <.001
  Simvastatin 2673 (15.9) 8953 (52.8) <.001
  Others 0 (0) 2697 (15.9) <.001
Discontinuation, N (%) 13,618 (81.1) 13,906 (82.0) .037
PDC, mean (SD) 0.5 (0.35) 0.5 (0.35) .008
  Adherence (PDC ≥80%), N (%) 4534 (27.0) 4471 (26.4) .181
Switching to a nonindex statin with similar intensity, N (%) 1749 (10.4) 3177 (18.7) <.001
Switching to a nonindex statin with different intensity, N (%) 4789 (28.5) 2792 (16.5) <.001
Switching to combination statin therapy and/or nonstatin lipid-lowering therapy, N (%) 2139 (12.7) 1857 (10.9) <.001
Restart, N (%) 6209 (37.0) 5813 (34.3) <.001

PDC indicates proportion of days covered; SD, standard deviation.

Switching to a nonindex statin of similar intensity was more common among low-/moderate-intensity statin initiators (18.7%) than high-intensity statin initiators (10.4%; P <.001). Switching to a nonindex statin with different intensity occurred more frequently among patients in the high-intensity statin initiator group (28.5%) than in the low-/moderate-intensity statin initiators (16.5%; P <.001). The proportions of patients restarting an index statin treatment were slightly different for the high-intensity statin and low-/moderate-intensity statin groups (37% vs 34.3%, respectively; P <.001).

Between 15% and 17% of patients had ≥1 LDL-C laboratory results during the baseline period (Table 3). The most recent preindex mean laboratory values were 119.1 mg/dL (SD, 42.04) and 123.7 mg/dL (SD, 37.01), respectively, for the high-intensity statin and low-/moderate-intensity statin treatment initiators (P <.001). Similar proportions of patients had at least 1 LDL-C laboratory result at 1 year postindex; the mean LDL-C was 79.3 mg/dL (SD, 34.11) for the high-intensity statin group and 88.1 mg/dL (SD, 31.78) for the low-/moderate-intensity statin initiators (P <.001). A larger proportion of high-intensity statin initiators (79.9%) than low-/moderate-intensity statin initiators (70.2%) achieved LDL-C <100 mg/dL (P <.001).

Table 3.

Postmatching: Change in Lipid Levels and Goal Attainment Among Statin Users in Statin Benefit Group 1

Low-density lipoprotein cholesterol High-intensity statin initiators (N = 16,793) Low-/moderate-intensity statin initiators (N = 16,964) P value
Patients with ≥1 laboratory results during baseline, N (%) 2586 (15.4) 2918 (17.2) <.001
Most recent baseline (preinitiation) laboratory result (mg/dL) mean (SD) 119.1 (42.04) 123.7 (37.01) <.001
Patients with LDL-C <100 mg/dL at most recent baseline laboratory result, N (%) 904 (35.0) 770 (26.4) <.001
Patients with ≥1 laboratory results during 1-year follow-up, N (%) 4031 (24.0) 4271 (25.2) .012
Most recent follow-up laboratory result (mg/dL), mean (SD) 79.3 (34.11) 88.1 (31.78) <.001
Patients with LDL-C <100 mg/dL at 1-year follow-up, N (%) 3222 (79.9) 2999 (70.2) <.001
Patients with ≥1 laboratory results during baseline and 1-year follow-up, N (%) 1668 (9.9) 1878 (11.1) .001
Relative change in levels from baseline to 1-year follow-up, mean (SD), % –25 (34) –24 (29) .472

LDL-C indicates low-density lipoprotein cholesterol; SD, standard deviation.

The mean length of follow-up for the treatment groups was approximately 865 days (SD, 656.7) and 876 days (SD, 657.5), respectively, for the high-intensity statin and low-/moderate-intensity statin initiators (Table 4). Approximately 16% of the patients had CV events during follow-up. Specifically, approximately 8% of patients in each treatment group had an MI event; the incidence rates (per 1000 person-years) were 39.9 among high-intensity statin initiators and 32.7 for low-/moderate-intensity statin initiators.

Table 4.

Postmatching Follow-Up: Differences in CV Event Rates and Mortality Among Statin Users in Statin Benefit Group 1

Postindex CV events and mortalitya High-intensity statin initiators (N = 23,340) Low-/moderate-intensity statin initiators (N = 23,340) P value
Follow-up length, days, mean (SD) 865.2 (656.73) 876.1 (657.47) .073
Follow-up length, days, median 673 689
CV-related outcomes
  Myocardial infarction
    Patients with ≥1 events, N (%) 2044 (8.8) 1722 (7.4) <.001
    Incidence rate per 1000 person-years 39.9 32.7
  Unstable angina in the inpatient/emergency department setting
    Patients with ≥1 events, N (%) 1992 (8.5) 1816 (7.8) .003
    Incidence rate per 1000 person-years 39.0 34.8
  Ischemic stroke
    Patients with ≥1 events, N (%) 870 (3.7) 758 (3.2) .005
    Incidence rate per 1000 person-years 16.1 13.8
  Transient ischemic attack
    Patients with ≥1 events, N (%) 655 (2.8) 556 (2.4) .004
    Incidence rate per 1000 person-years 12.1 10.1
  Coronary revascularization, including CABG and PCI
    Patients with ≥1 events, N (%) 1765 (7.6) 1610 (6.9) .006
    Incidence rate per 1000 person-years 34.2 30.6
  All-cause mortality,b N (%) 621 (2.7) 544 (2.3) .022
    Incidence rate per 1000 person-years 11.2 9.7
  CV-related mortality using a claims-based algorithm,c N (%) 83 (0.4) 54 (0.2) .013
    Incidence rate per 1000 person-years 1.5 1.0
  Composite CV outcome groupd
    Patients with ≥1 events, N (%) 4777 (20.5) 4205 (18.0) <.001
    Incidence rate per 1000 person-years 103.1 87.0
a

Postindex CV events and mortality were reported for the duration of available follow-up, unless otherwise specified. CV event was defined as inpatient or emergency department visits with claims containing any of the codes related to the CV event of interest based on an ICD-9-CM diagnosis/procedure codes or CPT codes. An emergency department visit and inpatient stay in succession (without any gap in dates of service) was considered the same event.

b

All-cause mortality was based on reported death in SSDI records or a hospital discharge status of “deceased” in claims.

c

Mortality was considered CV-related if the patient had ≥1 inpatient stays or emergency department visits with a CV event as the primary diagnosis within 30 days before or on the date of death.

d

Composite CV outcome group included ACS, stroke, coronary revascularization, and CV-related mortality.

ACS indicates acute coronary syndrome; CABG, coronary artery bypass grafting; CPT, Current Procedural Terminology; CV, cardiovascular; ICD-9-CM, International Classification of Diseases, Ninth Revision, Clinical Modification; PCI, percutaneous coronary intervention; SD, standard deviation; SSDI, Social Security Death Index.

The proportion of patients who had at least 1 MI event was highest in the ACS subgroup (data not shown). In addition, approximately 8% of the patients in either cohort had ≥1 unstable angina events in the emergency department or the inpatient setting, and approximately 3% of the patients in either cohort had an ischemic stroke or TIA event. Per 1000 person-years, the all-cause mortality incidence rates for the high-intensity statin and low-/moderate-intensity statin initiators were 11.2 and 9.7, respectively, and the CV-related mortality rates were 1.5 and 1, respectively (Table 4).

The differences in all-cause healthcare resource utilization and costs during follow-up across the cohorts were small but significant, with higher costs in the high-intensity statin cohort (mean costs, $22,581 vs $20,597, respectively; median, $9971 vs $8636, respectively; Table 5). The disease-related metrics followed a similar pattern. These trends were also observed in the generalized linear regression models, which accounted for cost skewness and indicated an increase in costs of 11% to 21% in the high-intensity statin cohort compared with the low-/moderate-intensity statin cohort (data not shown).

Table 5.

Postmatching: Healthcare Resource Utilization and Costs Among Statin Users (Follow-Up)

Statin benefit group 1 patients
Healthcare resource utilization, costs per patient High-intensity statin initiators (N = 16,793) Low-/moderate-intensity statin initiators (N = 16,964) P value
Postindex
All-cause utilization
  Patients with ≥1 physician office visits, N (%) 16,522 (98.4) 16,737 (98.7) .036
  Physician office visits, mean (SD) 9.8 (8.31) 9.5 (8.03) .001
  Patients with ≥1 other outpatient visits, N (%) 16,234 (96.7) 16,338 (96.3) .071
  Other outpatient visits, mean (SD) 19.4 (24.20) 18.3 (22.54) <.001
  Patients with ≥1 emergency department visits, N (%) 4097 (24.4) 3946 (23.3) .014
  Emergency department visits, mean (SD) 0.4 (1.00) 0.4 (1.08) .053
  Patients with ≥1 inpatient hospitalizations, N (%) 4898 (29.2) 4575 (27.0) <.001
  Hospitalizations, mean (SD) 0.5 (1.00) 0.4 (1.04) <.001
  LOS of those with hospitalizations, mean (SD) 6.6 (13.05) 6.4 (12.91) .469
  Patients with ≥1 pharmacy dispensings, N (%) 16,793 (100.0) 16,964 (100.0)
  Prescription fills, mean (SD) 45.9 (28.38) 44.0 (28.18) <.001
Disease-related utilization
  Patients with ≥1 physician office visits, N (%) 13,901 (82.8) 13,377 (78.9) <.001
  Patients with ≥1 other outpatient visits, N (%) 11,735 (69.9) 10,975 (64.7) <.001
  Patients with ≥1 emergency department visits, N (%) 1971 (11.7) 1728 (10.2) <.001
  Patients with ≥1 inpatient hospitalizations, N (%) 4273 (25.4) 3850 (22.7) <.001
All-cause costs
  Total medical, $ 18,606 (40,817) 17,209 (39,767) .001
  Physician office, $ 1471 (3731) 1352 (2849) .001
  Outpatient, $ 6913 (16,148) 6526 (17,239) .034
  Emergency department, $ 689 (2547) 654 (2483) .209
  Inpatient, $ 9534 (32,679) 8676 (31,358) .014
  Pharmacy, $ 3975 (4495) 3389 (4656) <.001
  Total, $ 22,581 (41,938) 20,597 (40,841) <.001
  Median (IQR), $ 9971 (5144–23,194) 8636 (4218–20,412)
Disease-related costs
  Total medical, $ 12,345 (33,344) 10,901 (32,087) <.001
  Physician office, $ 510 (1102) 429 (707) <.001
  Other outpatient, $ 3005 (8707) 2602 (8402) <.001
  Emergency department, $ 362 (1856) 312 (1592) .008
  Inpatient, $ 8467 (30,681) 7558 (29,678) .006
  Pharmacy, $ 905 (733) 470 (571) <.001
  Total, $ 13,250 (33,365) 11,371 (32,106) <.001
  Median (IQR), $ 2974 (1210–11,107) 1961 (556–8241)

IQR indicates interquartile range; LOS, length of stay; SD, standard deviation.

Discussion

Based on historical statin utilization, the results of this study provide important insights into the projected patterns of statin use among patients qualifying for ACC/AHA statin benefit group 1 in a managed care setting. Overall, only 38% of patients with clinical ASCVD (group 1) initiated statin therapy in this study. Among patients receiving a statin, 23% used a high-intensity statin, with <10% of the entire patient population receiving this intensity level of a statin.

These findings suggest that a significant paradigm shift must occur in the use of these drugs among patients with ASCVD. However, historical evidence suggests that the delayed adoption of clinical management guidelines (based on factors such as clinical inertia, patient reluctance, and perceived risk) will result in patients not receiving guideline-recommended treatment in the near future.1618 Although this gap is likely to remain for some time, small increases in statin uptake after the 2013 ACC/AHA guidelines changes have been reported.12,19,20

The increased use of high-intensity statins may require changes in how drug prescribing patterns are conceptualized (especially for those with ACS), such as starting treatment with high-intensity statins rather than starting with low-/moderate-intensity statins, and subsequently uptitrating, as is often suggested in medical practice (based on discussions with practicing cardiologists). In addition, the initiation of high-intensity statin therapy was considered unnecessary (based on discussions with practicing cardiologists), if LDL-C targets could be reached at lower doses according to the treat-to-target approach that was widely accepted before the publication of the 2013 ACC/AHA guidelines.

Widespread underutilization of high-intensity statins was evident, even though the benefits of starting with high-intensity statins had been demonstrated before the guidelines' release.6 One study using a nationwide sample found that in 2007, 2008, or 2009, only 27% of Medicare beneficiaries had a first fill of a high-intensity statin after a hospital discharge for CHD, which increased to only 35% within 1 year of discharge.21 Multiple physician and patient factors (based on discussions with practicing cardiologists) tend to favor starting treatment at a low dose, such as clinical care protocols, patient intuition, and aversion to side effects (eg, muscle pain). These factors will likely continue to play a role even after the release of the 2013 ACC/AHA guidelines.

Our findings highlight several important differences in the demographic, clinical, and economic outcomes associated with the treatment of patients in statin benefit group 1 with high-intensity statins and low-/moderate-intensity statins, as well as with nonstatin agents. Male patients and patients with recent ACS were more likely to receive a high-intensity statin, and patients with ischemic stroke were less likely to receive high-intensity statins, despite evidence of reduced recurrent events among such patients.22

Patients between ages 21 and 39 years were less likely to start statin therapy, despite having ASCVD. Cardiologists prescribed the largest proportion of high-intensity statins, whereas family and general physicians accounted for a higher share of the low-/moderate-intensity statin prescriptions. Cardiologists may be more likely to see patients with more advanced and complex disease who have increased cardiac comorbidities, which may account for a part of this difference in prescribing patterns.

Certain baseline comorbidities, including heart failure and hypertension, were seen more frequently among statin initiators than in patients who were not taking a statin, whereas other comorbidities (in particular, patients with anxiety and depression) were more frequently observed among non–statin users. For patients with available lipid panel results, the baseline LDL-C levels were clinically similar across the cohorts.

After treatment initiation, we observed a high level of therapy discontinuation and low overall adherence in the high-intensity and the low-/moderate-intensity statin cohorts, as has been previously documented.23,24 This may suggest a need for better patient management and/or alternative treatments. Although statin treatment was associated with a reduction in mean LDL-C levels of approximately 25% in both cohorts (in the subgroup of patients with available lipid panel results), a substantial fraction of patients had a CV event during the follow-up period (up to 20% based on the composite CV outcome), highlighting the remaining unmet need in this patient population for better disease management.

Of note, for CV events, our findings are perhaps counterintuitive, suggesting no improvement in follow-up events for the high-intensity statin cohort relative to the low-/moderate-intensity statin cohort. A similar result was previously reported in a study that compared composite all-cause death and recurrent ACS outcomes between high-intensity and low-/moderate-intensity statin users who were covered by Medicare.25 In that study, patients who received high-intensity statins had a similar event likelihood (hazard ratio, 1.02; 95% confidence interval, 0.96–1.08) as patients who received low-/moderate-intensity statins.25

Regarding the event rates in our study, the results could be a reflection of the overall poor adherence to treatment and the likelihood that patients who were prescribed high-intensity statins by their cardiologist had greater overall disease risks. Information on risk factors is limited in claims data, and cardiologists' decisions to prescribe patients high-intensity statins may reflect their access to additional information, such as weight, smoking status, ethnicity, family history, and clinical severity of the underlying ASCVD (eg, number of cardiac vessels affected or degree affected), among others, providing a more nuanced risk profile than claims data alone.

In some cases during the time period studied, health plans might have required specific prior authorizations or step edits for the initiation of high-intensity statin therapies that were not available in a generic formulation. In such cases, physicians tend to request authorizations for patients with more severe conditions, which could result in baseline and follow-up differences between patients receiving high-intensity statins and those receiving low-/moderate-intensity statins.

Limitations

The study results must be interpreted with awareness of some important limitations, including those associated with analyses of claims data. Specific information that is not available in claims could have an effect on the study outcomes. In light of differences in our study results compared with previous randomized clinical trial evidence, it is possible that the absence of such additional risk factors introduced bias into the estimates. Although the propensity score-matching approach noticeably improved balance across the cohorts in all available claims-based patient characteristics, the counterintuitive patterns in CV event rates remained.

The assumptions underlying ASCVD risk calculation and the potential imprecise cause of death assignment via the claims-based CV mortality algorithm could have affected the CV mortality outcome (although both cohorts would presumably have been affected equally). Moreover, the potential difference between statistical and clinical significance, given the large sample sizes of our comparison groups, must be noted.

The results are based on a sample of commercially insured patients and may not be generalizable to patients with other types of insurance or no insurance. As is the case with all claims studies, the presence of a claim for a filled prescription does not indicate that the medication was consumed or that it was taken as prescribed, nor does the absence of a medication claim mean that no medication was taken.

Finally, the presence of a diagnosis code on a medical claim does not guarantee the positive presence of a disease, because the diagnosis code might have been incorrectly coded or included as a rule-out criterion. Conversely, the absence of a diagnosis code does not guarantee the absence of disease.

Conclusion

Overall statin use and the specific use of high-intensity statin doses remain low in patients with clinical ASCVD, which may result in unnecessary residual risk. In patients who are prescribed statins, the doses are rarely titrated, and adherence continues to be suboptimal. Even within a cohort of patients with ASCVD, the demographic and clinical characteristics were significantly different between the dosing intensities of statins prescribed and compared with patients who were not prescribed a statin. In addition, CV events occurred at substantial rates in all patients receiving a statin, suggesting a potential for improving patient health outcomes.

Additional therapies, such as the proprotein convertase subtilisin kexin type 9 (better known as PCSK9) inhibitors that have drawn considerable interest as an emerging treatment option for patients with ASCVD, may also be a consideration in patients who fail to reach their treatment goal despite receiving maximum tolerated doses of a statin. Future research should examine changes in prescribing patterns in populations after the 2013 ACC/AHA guidelines release date for new and existing statin and nonstatin lipid therapies, and their impact on clinical and economic outcomes.

Acknowledgments

Bernard B. Tulsi, MSc, an employee of HealthCore, provided writing and editorial support for this manuscript. Minor editorial and administrative support was provided by Rachel Wright, PhD, of Prime Medica Ltd, Knutsford, Cheshire, United Kingdom, and was funded by Sanofi and Regeneron Pharmaceuticals. We also wish to acknowledge Rita Samuel, MD, of Regeneron Pharmaceuticals, for providing a critical review of the manuscript.

Source of Funding

Funding for this study was provided by Sanofi US, Inc, and Regeneron Pharmaceuticals, Inc. The authors received no payment related to the development of this publication.

Author Disclosure Statement

Dr Huang, Dr Grabner, Dr Willey, and Dr Cziraky are employees of HealthCore, which was contracted by Regeneron Pharmaceuticals for this study; Dr Sanchez is an employee of and receives stock compensation from Regeneron Pharmaceuticals; Ms Palli was an employee of HealthCore during this study; Dr Power reported no conflicts of interest.

Contributor Information

Qing Huang, Research Manager of Life Sciences Research, HealthCore, Wilmington, DE.

Michael Grabner, Associate Director of Life Sciences Research, HealthCore.

Robert J. Sanchez, Senior Director of Health Economics and Outcomes Research, Medical Affairs, Regeneron Pharmaceuticals, Tarrytown, NY.

Vincent J. Willey, Staff Vice President of Life Sciences Research, HealthCore.

Mark J. Cziraky, Vice President of Research, HealthCore.

Swetha R. Palli, Research Manager of Life Sciences Research, HealthCore, during this study.

Thomas P. Power, Medical Director of Cardiology and Sleep Management, AIM Specialty Health, Chicago, IL.

References

  • 1. Baigent C, Keech A, Kearney PM, et al; for the Cholesterol Treatment Trialists' (CTT) Collaborators. Efficacy and safety of cholesterol-lowering treatment: prospective meta-analysis of data from 90,056 participants in 14 randomised trials of statins. Lancet. 2005; 366: 1267–1278. Errata in: Lancet. 2005; 366:1358; Lancet. 2008; 371:2084. [DOI] [PubMed] [Google Scholar]
  • 2. Baigent C, Blackwell L, Emberson J, et al; for the Cholesterol Treatment Trialists' (CTT) Collaboration. Efficacy and safety of more intensive lowering of LDL cholesterol: a meta-analysis of data from 170,000 participants in 26 randomised trials. Lancet. 2010; 376: 1670–1681. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Mihaylova B, Emberson J, Blackwell L, et al; for the Cholesterol Treatment Trialists' (CTT) Collaborators. The effects of lowering LDL cholesterol with statin therapy in people at low risk of vascular disease: meta-analysis of individual data from 27 randomised trials. Lancet. 2012; 380: 581–590. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Ling G. Antiplatelet therapy for secondary prevention in stroke—making the right choice. Curr Vasc Pharmacol. 2012; 10: 225–237. [DOI] [PubMed] [Google Scholar]
  • 5. Thavendiranathan P, Bagai A, Brookhart MA, Choudhry NK. Primary prevention of cardiovascular diseases with statin therapy: a meta-analysis of randomized controlled trials. Arch Intern Med. 2006; 166: 2307–2313. [DOI] [PubMed] [Google Scholar]
  • 6. Cannon CP. The next step in cardiovascular protection. Atheroscler Suppl. 2003; 4: 3–9. [DOI] [PubMed] [Google Scholar]
  • 7. Stone NJ, Robinson JG, Lichtenstein AH, et al; for the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. 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. Circulation. 2014; 129 (25 suppl 2): S1–S45. Errata in: Circulation. 2014;129(25 suppl 2):S46-S48; Circulation. 2015; 132:e396. [DOI] [PubMed] [Google Scholar]
  • 8. Jamé S, Wittenberg E, Potter MB, Fleischmann KE. The new lipid guidelines: what do primary care clinicians think? Am J Med. 2015; 128: 914.e5–914.e10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Jacobson TA, Ito MK, Maki KC, et al. National Lipid Association recommendations for patient-centered management of dyslipidemia: part 1—executive summary. J Clin Lipidol. 2014; 8: 473–488. [DOI] [PubMed] [Google Scholar]
  • 10. Raymond C, Cho L, Rocco M, Hazen SL. New cholesterol guidelines: worth the wait? Cleve Clin J Med. 2014; 81: 11–19. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) final report. Circulation. 2002; 106: 3143–3421. [PubMed] [Google Scholar]
  • 12. Tran JN, Caglar T, Stockl KM, et al. Impact of the new ACC/AHA guidelines on the treatment of high blood cholesterol in a managed care setting. Am Health Drug Benefits. 2014; 7 (8): 430–443. Erratum in: Am Health Drug Benefits. 2014;7(9):487–488. [PMC free article] [PubMed] [Google Scholar]
  • 13. Austin PC. Optimal caliper widths for propensity-score matching when estimating differences in means and differences in proportions in observational studies. Pharm Stat. 2011; 10: 150–161. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Austin PC. An introduction to propensity score methods for reducing the effects of confounding in observational studies. Multivariate Behav Res. 2011; 46: 399–424. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Moran JL, Solomon PJ, Peisach AR, Martin J. New models for old questions: generalized linear models for cost prediction. J Eval Clin Pract. 2007; 13: 381–389. [DOI] [PubMed] [Google Scholar]
  • 16. Harle CA, Harman JS, Yang S. Physician and patient characteristics associated with clinical inertia in blood pressure control. J Clin Hypertens (Greenwich). 2013; 15: 820–824. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Mohan AV, Phillips LS. Clinical inertia and uncertainty in medicine. JAMA. 2011; 306: 383; author reply 383–384. [DOI] [PubMed] [Google Scholar]
  • 18. Whitford DL, Al-Anjawi HA, Al-Baharna MM. Impact of clinical inertia on cardiovascular risk factors in patients with diabetes. Prim Care Diabetes. 2014; 8: 133–138. [DOI] [PubMed] [Google Scholar]
  • 19. Olufade T, Anzalone D, Kern DM, et al. Increase in utilization of high-intensity statin among new users after the release of the 2013 ACC/AHA cholesterol management guideline. Circulation. 2015; 132 (suppl 3). Abstract 17287. [Google Scholar]
  • 20. Zupec JF, Marrs JC, Saseen JJ. Evaluation of statin prescribing for secondary prevention in primary care following new guideline recommendations. Ann Pharmacother. 2016; 50: 17–21. [DOI] [PubMed] [Google Scholar]
  • 21. Rosenson RS, Kent ST, Brown TM, et al. Underutilization of high-intensity statin therapy after hospitalization for coronary heart disease. J Am Coll Cardiol. 2015; 65: 270–277. [DOI] [PubMed] [Google Scholar]
  • 22. Amarenco P, Bogousslavsky J, Callahan A, III, et al; for the Stroke Prevention by Aggressive Reduction in Cholesterol Levels (SPARCL) Investigators. High-dose atorvastatin after stroke or transient ischemic attack. N Engl J Med. 2006; 355: 549–559.16899775 [Google Scholar]
  • 23. De Vera MA, Bhole V, Burns LC, Lacaille D. Impact of statin adherence on cardiovascular disease and mortality outcomes: a systematic review. Br J Clin Pharmacol. 2014; 78: 684–698. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Virani SS, Woodard LD, Akeroyd JM, et al. Is high-intensity statin therapy associated with lower statin adherence compared with low- to moderate-intensity statin therapy? Implications of the 2013 American College of Cardiology/American Heart Association cholesterol management guidelines. Clin Cardiol. 2014; 37: 653–659. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Choudhry NK, Levin R, Winkelmayer WC. Statins in elderly patients with acute coronary syndrome: an analysis of dose and class effects in typical practice. Heart. 2007; 93: 945–951. [DOI] [PMC free article] [PubMed] [Google Scholar]
Am Health Drug Benefits. 2016 Nov;9(8):434–444.

Using Statin Therapy to Reduce Atherosclerotic Cardiovascular Disease Risk

Raymond L Singer 1

As eloquently described in the preamble of the 2013 American College of Cardiology (ACC)/American Heart Association (AHA) guidelines on the treatment of blood cholesterol to reduce atherosclerotic cardiovascular disease (ASCVD) risk in adults, the goals of the guidelines “are to prevent cardiovascular diseases; improve the management of people who have these diseases through professional education and research; and develop guidelines, standards, and policies that promote optimal patient care and cardiovascular health.”1

Statin medications have served as first-line therapy to achieve these lofty goals, with proved success in the prevention and treatment of cardiovascular disease (CVD). And although lifestyle changes are a crucial component of success of any drug regimen, it is equally clear that in the real world, more patients could benefit from statin therapy.

Huang and colleagues provide evidence, through an exhaustive retrospective review of 273,308 patients with ASCVD, for the unmet need to optimize statin therapies because of inadequate initial dosing, low patient adherence, and clinical practice variation among physicians.2 This review preceded the 2013 ACC/AHA guidelines; therefore, time will tell if these guidelines will bring more attention to these unmet needs, and, in doing so, favorably affect clinical and economic outcomes.

Although no guidelines are perfect, these guidelines are based on a systematic review of evidence, and replace the previous guidelines from 2002. Because of the evidence-based nature of the guidelines, patients, providers, and payers should pay attention to their recommendations.

PATIENTS: Approximately 80 million Americans have ASCVD. In nearly all cases, the buildup of fat-laden atherosclerotic plaque is the culprit. Statins work by blocking HMG-CoA, the enzyme critical for cholesterol synthesis, thereby lowering low-density lipoprotein cholesterol (LDL-C) levels.

The 2013 guidelines emphasize matching the intensity of statin treatment to the level of ASCVD risk and replace the old paradigm of pursuing a specific LDL-C target. In addition, the guidelines list several patient groups that will not benefit from statin therapy despite their high cardiovascular (CV) risk, such as patients with heart failure and those undergoing hemodialysis.

Overall, 2 issues remain problematic for patients. The most important issue is the initiation of lifestyle changes, along with the initiation of statin therapy. Some patients could lower their CV risk to less than the statin treatment threshold, with lifestyle changes alone. The second challenge, as documented by Huang and colleagues,2 is the well-recognized suboptimal patient adherence to continued statin therapy among diverse demographic populations, even after a CV event.

The 2013 ACC/AHA lipid management guidelines are an important step forward in the prevention and management of ASCVD. Patients at risk for ASCVD must take steps to reduce their CV risk by combining lifestyle changes with education, and seek consultation with appropriate CV specialists.

PROVIDERS: The goal for providers should not be to get more patients to take statins, but rather to ensure that statin therapy is provided to patients who can benefit from these drugs by reducing their risk for ASCVD. Patients need to be educated on the importance of adhering to a combination of lifestyle changes and drug therapies to prevent, reduce, and treat the effects of ASCVD.

In addition to lifestyle changes, the 2013 guidelines recommend statin therapy in 4 groups, including (1) patients aged 40 to 70 years without CVD who have a ≥7.5% risk for heart attack or stroke within 10 years; (2) patients with a history of a CV event (eg, myocardial infarction, stroke, stable or unstable angina, peripheral arterial disease, transient ischemic attack, or coronary or other arterial revascularization); (3) patients aged ≥21 years with very high LDL-C levels (≥190 mg/dL); and (4) patients aged 40 to 75 years with type 1 or 2 diabetes.1

Some patients who do not fall into one of these categories may also benefit from statin therapy; for example, low-risk patients (based on the ASCVD risk calculator) may have coronary calcification, as detected by a computed tomography angiogram. The implementation of screening coronary calcium scores has increased the number of patients diagnosed with coronary atherosclerosis.

Clinicians may also find the decision-making process difficult with regard to initiating statin therapy. Specifically, the choice between moderate- or high-intensity drug dosing will depend on a thorough evaluation of other risk factors, including the estimated risk for a 10-year ASCVD event and patient preferences.

Statin intolerance may be another confounding factor for providers. Monitoring of muscle symptoms and liver enzymes after the initiation of statin therapy is paramount. A stepwise approach should be used in patients who may have statin intolerance. Providers should not simply stop statin therapy based on an isolated muscle discomfort event that may not be attributed to the statin drug. It is necessary to determine whether the muscle discomfort is statin-related, and if it is, providers should try a different statin or a nonstatin cholesterol-lowering drug.

PAYERS: According to the AHA, 40% of the US population is expected to have some form of ASCVD in the next 20 years. The rise in childhood obesity, lack of exercise, and the growing incidence of diabetes are contributing factors to the rise in ASCVD rates.

CVD is the leading cause of death in the United States, and accounts for 17% of healthcare expenditures. An important aspect of ASCVD that continues to be unheeded is that heart disease remains the number one killer of women, and is more deadly than all types of cancer combined—1 in 3 women die from heart disease annually.

The rising US economic burden of treating ASCVD is staggering; trying to assign an actual dollar amount is almost incalculable, because of its size. Payers need to evaluate the 2013 ACC/AHA guidelines and ensure that providers are offering appropriate lifestyle and drug therapies to their patients.

The rising cost of health insurance premiums, large deductibles, and the high cost of drugs are raising fears that patients will avoid seeking medical advice; will stop expensive, preventive medications; and delay life-saving treatments. In the end, these patients often further contribute to the healthcare economic burden by presenting with late, unstable, more complex chronic conditions. Therefore, it is imperative that payers provide the education and the means to secure optimal, cost-effective, preventive care for the covered lives they protect.

Finally, generic statins generally cost less than their equivalent branded drugs. In April 2016, the first generic version of rosuvastatin (Crestor) was approved. In 2014, a generic version of atorvastatin calcium (Lipitor) was approved, and in 2006, a generic form of simvastatin (Zocor) was approved. Payers could save billions of dollars by switching to generic statins, while enhancing the likelihood that patients will adhere to this important class of drugs.

Biography

graphic file with name ahdb-09-434-g001.jpg

Appendix

Clinical Characteristics and Unmet Need Among Patients with Atherosclerotic Cardiovascular Disease Stratified by Statin Use

Qing Huang, PhD, MHS; Michael Grabner, PhD; Robert J. Sanchez, PhD; Vincent J. Willey, PharmD; Mark J. Cziraky, PharmD; Swetha R. Palli, MS; Thomas P. Power, MD, FACC, MRCPI

This Appendix has not been edited and is provided as supplemental materials for this article, which was published in American Health & Drug Benefits in November 2016.

Appendix Table 1.

List of ASCVD Codes Used in the Study

Disease Group Descriptions ICD-9 Diagnosis Code ICD-9 Procedure Code CPT/HCPCS
ACS MI (within 12 months) 410.xx
Unstable angina (inpatient/ER setting within 12 months) 411.lx, 411.81
CHD with history of MI Old MI 412.xx
MI (more than 12 months old) 410.xx
CHD without history of MI Stable angina 413.xx
Unstable angina (other) 411.lx, 411.81
Coronary atherosclerosis 414.xx
Coronary revascularization (inpatient/ER setting) 00.66, 36.0x–36.3x 33510–33523, 33533–33536, 92980–92982, 92984, 92995, 92996, S2205–S2209, G0290, G0291
Ischemic stroke Ischemic stroke 433.xl, 434.xx, 435.8x, 435.9x, 436.xx, 437.0x, 437.1x, 438.0x–438.12, 438.19–438.89
PAD PAD 433.xO, 441.3x, 441.4x, 443.9x, 445. Ox 00.63, 00.55, 00.61, 00.64, 39.50, 39.72, 39.74, 39.90, 38.13, 38.18 34800–34805, 37215–37216, 93668, 35450–35459, 35470–35475, 35480–35485, 35490–35495, 35501–35571, 35583–35587, 35601–35671, 37205–37208, 35081–35103, 37220–37235, 35301

ACS, acute coronary syndromes; ASCVD, atherosclerotic cardiovascular disease; CHD, coronary heart disease; CPT/HCPCS, Current Procedural Terminology (4th edition) Healthcare Common Procedure Coding System Level II; ER, emergency room; ICD-9, International Classification of Disease, Ninth Revision; MI, myocardial infarction, PAD, peripheral artery disease.

Appendix Table 2.

List of Baseline Patient Characteristics Used for Generation of Propensity Score

Characteristics
Demographics Year of Index Date, categorical
Female, binary
Age at index (years), continuous
Geographic region, categorical
Medicare Advantage enrollment, binary
Prescribing/treating physician specialty, categorical
Clinical MI events, binary and continuous
Unstable angina events in inpatient hospitalization or ER setting, continuous
Unstable angina events in outpatient setting, binary and continuous
Coronary heart disease without MI, binary
Stable angina events, binary and continuous
Coronary atherosclerosis, binary and continuous
Coronary revascularization procedures, binary and continuous
Ischemic stroke, binary
PAD, binary
Quan-Charlson Comorbidity Index, continuous or categorical
Congestive heart failure, binary
Dementia, binary
Chronic pulmonary disease, binary
Diabetes, binary
Anxiety, binary
Depression, binary
Dyslipidemia, binary
Hypertension, binary
Metabolic syndrome, binary
Anti-hypertensive agents, binary
Antiplatelets/anticoagulants, binary
Health care utilization All-Cause Utilization
Physician office visits, binary and continuous
Other outpatient visits, binary and continuous
ER visits, binary and continuous
Inpatient hospitalizations, binary and continuous
Inpatient LOS across all patients, continuous
Pharmacy dispensing, binary and continuous
Health care costs All-Cause Costs
Inpatient hospitalization costs, continuous

Minor variations were implemented for the different SBG's and hierarchical disease groups within SBG1. Lipid values were not included in the PS regressions due to small sample sizes of patients with available values. Lipid values were nevertheless balanced in the matched samples.

Appendix Table 3a.

Patient Selection for Statin Initiators

Sequential Study Criteria for Statin Initiators Patient Counts
Patients with >1 day health plan enrollment (medical and pharmacy) during the study period (01/01/2006 – 06/30/2014) 35,637,247
High-Intensity Statin Initiators Low-to-Moderate-Intensity Statin Initiators
Patients initiating corresponding statin therapy based on the earliest statin fill (= index date)1 552,135 3,194,443
Patients aged >21 years on index date with >12 months pre-index and >3 months post-index continuous health plan enrollment 109,367 940,820
Patients who enrolled continuously in commercial and/or Medicare Advantage plans 97,279 846,286
After excluding patients who initiated with both high and low-to-moderate intensity statin therapies on index date, or had >1 Rx fill for statin combinations or non-statin LLT during 12-month preindex period 77,697 750,898
Patients aged <75 years with clinical ASCVD at any time prior to index date 24,720 84,076
After excluding patients whose index statin Rx claim had 0 days of supply or who initiated multiple types of statin therapies on index date 24,716 84,047
After excluding patients with ischemic stroke who had claims for atrial fibrillation or valvular heart disease over the 12 months prior to index date 24,106 80,543
1

If there were multiple statin fills on the index date, the highest strength was used to determine intensity group.

Appendix Table 3b.

Patient Selection for Nonstatin Users

Sequential Study Criteria For Nonstatin Users Patient Counts
Patients with no statin therapy any time during the study period (01/01/2006-06/30/2014) 31,890,669
Patients with >15 months continuous health plan enrollment any time during study period, and aged >21 years old at the end of any continuous enrollment segment 13,339,857
Patients aged <75 years old with clinical ASCVD as well as 12 months pre-index continuous health plan enrollment (index date = earliest date patient became eligible for clinical ASCVD) 250,815
Patients aged >21 years on index date 249,555
Patients with >3 months post-index continuous health plan enrollment 223,177
Patients who enrolled continuously in commercial and/or Medicare Advantage plans 175,787
After excluding patients with ischemic stroke who had claims for atrial fibrillation or valvular heart disease over the 12 months prior to index date 168,659

Appendix Table 4.

Postmatching: Demographic and Clinical Characteristics by Statin Intensity (Baseline)

Statin Benefit Group 1 Patients
High Intensity Statin Initiators (A) Moderate/Low Intensity Statin Initiators (B) P-Value Standardized DifTerence For Mean Comparison Between [A] And [B]
N=23,340 N=23,340
Medicare advantage, n (%) 2,872 (12.3) 2,885 (12.4) 0.855 0.00
Prescribing physician specialty, n (%) (selected)
Cardiology 11,064 (47.4) 11,098 (47.5) 0.753 0.00
Family/general practice 3,661 (15.7) 3,640 (15.6) 0.789 0.00
Internal medicine 3,841 (16.5) 4,107 (17.6) 0.001 −0.03
ASCVD group (mutually exclusive):
 ACS 12,570 (53.9) 12,570 (53.9) 1.000 0.00
 CHD with old MI 1,219 (5.2) 1,219 (5.2) 1.000 0.00
 CHD without MI 6,534 (28.0) 6,534 (28.0) 1.000 0.00
 Ischemic stroke 2,109 (9.0) 2,109 (9.0) 1.000 0.00
 PAD 908 (3.9) 908 (3.9) 1.000 0.00
Baseline comorbidities
Quan-Charlson Comorbidity Index, mean (SD) 1.9 (1.77) 2.0 (1.79) 0.607 −0.01
 Congestive heart failure, n (%) 4,222 (18.1) 4,234 (18.1) 0.885 0.00
 Diabetes, n (%) 5,872 (25.2) 5,854 (25.1) 0.848 0.00
 Chronic kidney disease, n (%) 1,452 (6.2) 1,407 (6.0) 0.385 0.01
 Anxiety, n (%) 2,423 (10.4) 2,452 (10.5) 0.661 0.00
 Depression, n (%) 1,963 (8.4) 1,918 (8.2) 0.451 0.01
 Hypertension, n (%) 16,471 (70.6) 16,474 (70.6) 0.976 0.00
 Obesity, n (%) 3,500 (15.0) 3,408 (14.6) 0.230 0.01
Baseline medication use, n (%)
 Anti-hypertensive agents 11,703 (50.1) 11,659 (50.0) 0.684 0.00
 Anti-diabetic agents 3,105 (13.3) 3,107 (13.3) 0.978 0.00
 Prescription omega-3 fatty acids 177 (0.8) 202 (0.9) 0.197 -0.01
 Antipl atel ets/anti coagul ants 3,649 (15.6) 3,662 (15.7) 0.869 0.00
 Peripheral arterial claudication medications 165 (0.7) 163 (0.7) 0.912 0.00

ACS indicates acute coronary syndrome; ASCVD, atherosclerotic cardiovascular disease; CHD, coronary heart disease; MI, myocardial infarction; PAD, peripheral arterial disease; SD, standard deviation.

References

  • 1. Stone NJ, Robinson JG, Lichtenstein AH, et al; for the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. 2013 ACC/AHA guideline on the treatment of blood cholesterol to reduce atherosclerotic cardiovascular risk in adults. Circulation. 2014; 129 (25 suppl 2): S1–S45. Errata in: Circulation 2014;129(25 suppl 2):S46-S48; Circulation. 2015; 132: e396. [DOI] [PubMed] [Google Scholar]
  • 2. Huang Q, Grabner M, Sanchez R, et al. Clinical characteristics and unmet need among patients with atherosclerotic cardiovascular disease stratified by statin use. Am Health Drug Benefits. 2016; 9 (8): 434–444. [PMC free article] [PubMed] [Google Scholar]

Articles from American Health & Drug Benefits are provided here courtesy of Engage Healthcare Communications, LLC

RESOURCES