Literature DB >> 35368909

Lipid treatment status and goal attainment among patients with atherosclerotic cardiovascular disease in the United States: A 2019 update.

Jing Gu1, Robert Sanchez1, Ankita Chauhan2, Sergio Fazio1, Nathan Wong3.   

Abstract

Objective: To update the prevalence of atherosclerotic cardiovascular disease (ASCVD) in the United States (US) and re-evaluate lipid-lowering therapies (LLT) utilization and low-density lipoprotein cholesterol (LDL-C) goal attainment among ASCVD patients after proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors have become available using data from 2019.
Methods: ASCVD patients with at least 1 valid LDL-C measurement from the 2019 Truven MarketScan Research Database were included and stratified into hierarchical cardiovascular risk groups. The number of patients in each group was extrapolated to approximate national figures based on national demographic and ASCVD prevalence numbers. Descriptive statistics on demographic and clinical characteristics, treatment status and LDL-C for each hierarchical category were reported.
Results: The overall prevalence of ASCVD in the US in 2019 was 24.0 million, approximately 10% of the total US population above 21 years old. We found heavy comorbidity burden among ASCVD patients and 31.2% were at very high risk for recurrent events. The majority of ASCVD patients were not at guideline-recommended LDL-C goal. Although there was a significant increase in the use of LLTs (especially of high-intensity statins) in 2019 compared to 2014, overall LLT utilization remained low, with only 3.8% of ASCVD patients on ezetimibe, less than 1% on PCSK9 inhibitors and over 40% on no LLTs. We also found higher utilization of LLTs among patients who were at goal of < 70 or < 55 mg/dL vs. those not at goal.
Conclusion: Despite an increase in high-intensity statins use since 2014, there was still an underutilization of LLTs in spite of evidence of their efficacy in LDL-C lowering and ability to reduce the risk of coronary heart disease. Increased awareness of guidelines by healthcare providers and urgency to treat ASCVD is needed in order to improve LLT utilization and help more patients reach the LDL-C goal.
© 2022 The Authors. Published by Elsevier B.V.

Entities:  

Year:  2022        PMID: 35368909      PMCID: PMC8968014          DOI: 10.1016/j.ajpc.2022.100336

Source DB:  PubMed          Journal:  Am J Prev Cardiol        ISSN: 2666-6677


Introduction

Cardiovascular disease (CVD) is the leading cause of morbidity and mortality in the United States (US)[1]. The link between lower levels of low-density lipoprotein cholesterol (LDL-C) and reductions in CVD morbidity and mortality is well established[2], [3], [4]. Clinical trial data on statins in patients with or without atherosclerotic cardiovascular disease (ASCVD) suggest that every 1 mmol/L (38.67 mg/dL) decrease in LDL-C induces a 22% reduction in CVD risk[2]. Despite this evidence, medications to lower LDL-C have been underutilized and sub-optimally dosed[5]. In a previous study, we estimated the prevalence of ASCVD in the US at 18.3 million in 2014, with 74.2% of ASCVD subjects having an LDL-C ≥ 70 mg/dL, of whom only 9.2% were on a high-intensity statin, and more than half (54.0%) were neither on statin nor ezetimibe[6]. This analysis highlighted the underutilization of lipid-lowering therapies (LLTs). Since 2014, other novel LLTs that provide powerful LDL-C lowering have come to market, including two proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors, alirocumab and evolocumab, which lower LDL-C levels by up to 60% and reduce CV events among patients with ASCVD on statin therapy[3,4,7]. In 2018, the American Heart Association (AHA)/American College of Cardiology (ACC) Task Force on Clinical Practice Guidelines issued their recommendations on lowering the risk of CV events among patients with ASCVD. These included the use of high-intensity statin at maximally tolerated doses and the addition of ezetimibe if LDL-C is ≥ 70 mg/dL after statin. For the very high-risk patients, the guidelines recommended the addition of a PCSK9 inhibitor when LDL-C level is ≥ 70 mg/dL after high-intensity statin and ezetimibe[8]. Similarly, the 2019 European Society of Cardiology (ESC)/European Atherosclerosis Society (EAS) Guidelines for the Management of Dyslipidemias suggested a lower target LDL-C of < 55 mg/dL among patients with established ASCVD and, for patients at very high risk, recommended the addition of a PCSK9 inhibitor if not at goal on statin and ezetimibe, following the 2017 American Association of Clinical Endocrinologists (AACE) guideline which is the first guideline that recommended a treatment goal of LDL-C < 55 mg/dL for patients with extremely risk[9,10]. Despite these recommendations the use of LLTs remains low. The current analysis is a follow up to our previous paper with data from 2014 and aims at updating the prevalence of ASCVD in the US using the 2019 Truven Database, and at re-evaluating LLT utilization and LDL-C goal attainment among ASCVD patients after PCSK9 inhibitors have become available.

Methods

This study used de-identified healthcare claims and laboratory data from the Truven MarketScan Research Database. Truven MarketScan is a large and representative database consisting of US administrative health records from commercial and Medicare supplemental health plans. Enrollees were included in the analysis if all of the following criteria were met: at least 1 valid LDL-C measurement in 2019 with values between 2 and 1000 mg/dL (date of last LDL-C measurement defined as index date), age ≥ 21 years at index date, continuous enrollment in the database for at least 5 years prior to the index date (baseline period defined as the five years prior to index), a diagnosis of ASCVD based on International Classification of Diseases, Tenth Revision (ICD-10) codes during the baseline period (Appendix Table 1). Patients with likely heterozygous familial hypercholesterolemia were excluded (based on claims-assessable Dutch Lipid Clinic Criteria). We stratified patients into four mutually exclusive cardiovascular risk groups, defined using the following hierarchy: 1) recent acute coronary syndrome (ACS) within 1 year; 2) ischemic stroke; 3) peripheral arterial disease (PAD); 4) other coronary heart disease (CHD), which included coronary revascularization (coronary artery bypass graft and percutaneous coronary intervention), stable angina, or non-specific CHD diagnoses. Patients were assigned to the highest category. For example, patients with recent ACS could also have evidence of PAD and other CHD, whereas patients assigned to other CHD group did not have evidence of hierarchically superior diagnoses. We also identified patients at very high risk, defined as those with a history of multiple major ASCVD events or 1 major ASCVD event and multiple high-risk conditions based on the 2018 AHA/ACC guideline (Appendix Table 2)[8]. The number of patients in each disease group based on the database was extrapolated to approximate national figures based on national demographic and ASCVD prevalence numbers. The extrapolation method has been described previously[6]. Briefly, we used an optimization algorithm to ensure that the number of observations in the extrapolated dataset was in line with the adult US population and the national prevalence of CHD, ischemic stroke, diabetes and PAD. These data were anchored to the 2019 US census data and AHA Heart Disease and Stroke Statistics report in 2021[11,12]. Treatment status was assessed according to evidence of a filled prescription for statins, ezetimibe, and/or PCSK9 inhibitors. A patient was considered to be on a medication if the medication supply was within 30 days of the index date. Otherwise, they were considered not on treatment. For those not on treatment, we further stratified them as “not on current treatment” or “never on treatment” based on whether evidence for an LLT was present in the 5-year baseline period. LDL-C values were assessed on the index date and were examined according to the following cut points: < 55 mg/dL, < 70 mg/dL, ≥ 70 mg/dL, and ≥ 100 mg/dL. Several comorbidities and risk factors of interest were assessed for each disease group, including hypertension, diabetes (both determined based on ICD-10 diagnosis codes, Appendix Table 1), polyvascular disease and recurrent events. Polyvascular disease was defined as disease in 2 or more vascular beds (coronary, cerebrovascular, peripheral); recurrent events were defined as 2 or more events (including the same type of event twice) of unstable angina with hospitalization, nonfatal ischemic stroke, nonfatal MI, or elective revascularization. We used descriptive statistics to describe the demographic, clinical characteristics, assessment of treatment status and LDL-C for each hierarchical category.

Results

Table 1 shows the patient counts in 2019 database as well as the extrapolated US population number for each hierarchical disease group. There were 25,339 ASCVD patients in the MarketScan database, representing a total of 24.0 million (9.9% of total) adults in the US. Of these, 823,490 had an ACS within 1 year, 6276,933 had an ischemic stroke, 5769,364 had PAD, and 11,136,171 had other CHD. This represents a large increase compared to the 2014 data, when there were 18.3 million ASCVD patients, accounting for 8.0% of adult Americans. In the 2019 database, we also identified 4526 ASCVD patients who were at very high risk, representing 7488,308 patients in the US, which accounted for 31.2% of overall ASCVD patients and 3.1% of total US adults. Among those with very high risk, 42.7% had multiple major CV events and the remaining had 1 major CV event and multiple high-risk conditions.
Table 1

Hierarchical ASCVD disease group count in the Truven Database and extrapolated population.

Database, countDatabase,%Extrapolated US population size, countExtrapolated US population size,%
ASCVD
Recent ACS < 1 year8870.4%823,4900.3%
Ischemic stroke without ACS11730.5%6276,9332.6%
PAD without ACS or ischemic stroke44522.0%5769,3642.4%
Other CHD18,8278.3%11,136,1714.6%

Very high risk ASCVD45262.0%7488,3083.1%
Multiple major events23791.0%3196,8561.3%
1 major event + multiple high-risk conditions21470.9%4291,4521.8%

No ASCVD201,77888.8%218,443,82990.1%
Total population aged >= 21 (ASCVD + no ASCVD)227,117100.0%242,449,787100.0%

Abbreviations: ACS, acute coronary syndrome; ASCVD, atherosclerotic cardiovascular disease; CHD, coronary heart disease; PAD, peripheral arterial disease.

Hierarchical ASCVD disease group count in the Truven Database and extrapolated population. Abbreviations: ACS, acute coronary syndrome; ASCVD, atherosclerotic cardiovascular disease; CHD, coronary heart disease; PAD, peripheral arterial disease. Demographic and clinical characteristics of each hierarchical disease group show heavy comorbidity burden among ASCVD patients (Table 2). Overall, 39.1% of ASCVD patients had comorbid diabetes, 71.0% had hypertension and 48.8% had polyvascular disease. Among patients with recent ACS, 36.3% had recurrent CV events, 36.3% had ischemic stroke, 15.7% had PAD, and 89.6% had other CHD. Subjects in the hierarchical ischemic stroke group included 21.0% who also had PAD and 92.9% who had other CHD. Thirty-six percent of patients from the hierarchical PAD group also had other CHD. Based on the definition of the 2018 AHA/ACC guideline, 31.2% of the overall ASCVD patients (91.8% of recent ACS, 59.0% of ischemic stroke, 39.7% of PAD and 6.6% of other CHD) are considered to have very high risk for recurrent events. The majority of ASCVD patients in any group did not achieve the guideline-recommended LDL-C goal of <70 mg/dL (56.2% of patients with a recent ACS, 69.2% of patients with ischemic stroke, 80.8% of patients with PAD, and 71.5% of patients with other CHD). Only 11.6% of ASCVD patients had LDL-C < 55 mg/dL. Moreover, 37.5% of ASCVD patients had LDL-C ≥ 100 mg/dL.
Table 2

Demographic and clinical characteristics for hierarchical ASCVD disease groups.

Baseline Characteristics(Extrapolated Population)Recent ACS < 1 YearIschemic StrokePADOther CHDTotal ASCVD
Number823,4906276,9335769,36411,136,17124,005,959
Demographics
Age (mean)63.558.360.065.762.3
Male (%)55.8%54.3%52.7%47.3%50.7%
Baseline Comorbidities (%)
Recent ACS100.0%0.0%0.0%0.0%3.4%
Ischemic Stroke36.3%100.0%0.0%0.0%27.4%
PAD15.7%21.0%100.0%0.0%30.1%
Other CHD89.6%92.9%36.0%100.0%82.4%
Other Comorbidities (%)
CKD Stage III18.4%11.3%9.1%13.2%11.9%
CKD Stage IV-V6.3%4.7%3.4%3.5%3.9%
Hypertension73.9%72.3%68.3%71.4%71.0%
Diabetes Mellitus47.5%33.8%31.6%45.3%39.1%
Polyvascular Disease59.1%95.3%62.7%14.6%48.8%
Recurrent Events36.3%4.8%1.4%2.8%4.1%
Index LDL-C (mean, mg/dL)81.390.698.991.692.8
LDL-C < 55 mg/dL (%)25.2%13.0%7.9%11.7%11.6%
LDL-C < 70 mg/dL (%)43.8%30.8%19.2%28.5%27.4%
LDL-C ≥ 70 mg/dL (%)56.2%69.2%80.8%71.5%72.6%
LDL-C ≥ 100 mg/dL (%)27.8%34.9%44.6%36.0%37.5%
Very High Risk (%)91.8%59.0%39.7%6.6%31.2%
Multiple major events63.6%27.5%3.7%6.6%13.3%
1 major event + multiple high-risk conditions28.2%31.5%36.0%0.0%17.9%

All data are percentages unless otherwise stated.

Abbreviations: ACS, acute coronary syndrome; ASCVD, atherosclerotic cardiovascular disease; CHD, coronary heart disease; CKD, chronic kidney disease; LDL-C, low-density lipoprotein cholesterol; MI, myocardial infarction; PAD, peripheral arterial disease; UA, unstable angina.

Demographic and clinical characteristics for hierarchical ASCVD disease groups. All data are percentages unless otherwise stated. Abbreviations: ACS, acute coronary syndrome; ASCVD, atherosclerotic cardiovascular disease; CHD, coronary heart disease; CKD, chronic kidney disease; LDL-C, low-density lipoprotein cholesterol; MI, myocardial infarction; PAD, peripheral arterial disease; UA, unstable angina. The treatment status of each disease group comparing 2014 to 2019 is shown in Table 3. The proportion of ASCVD patients without any LLT claims in the last five years decreased from 54% in 2014 to 41% in 2019. This was driven by a significant 27% increase in the use of statins from 2014 to 2019 (44.1% and 56.1%, respectively). Of note, there was a significant increase in the use of high-intensity statins across each disease group comparing 2014 and 2019 data (20.1% vs. 52.4% for ACS, 9.2% vs. 29.4% for ischemic stroke, 7.9% vs. 16.4% for PAD, and 13.0% vs. 22.9% for other CHD). Meanwhile, utilization of moderate to low-intensity statins stayed relatively flat, from 32.9% to 32.1% for total ASCVD patients. We also observed an increase in the use of ezetimibe from 2.4% in 2014 to 3.8% in 2019. Utilization of high-intensity statin and ezetimibe combination also increased significantly, though the overall use remained low (0.8%). Less than 1% of ASCVD patients were treated by PCSK9 inhibitors in 2019. It was most commonly used by patients with a recent ACS, followed by patients with ischemic stroke, PAD and other CHD.
Table 3

Treatment status for hierarchical ASCVD disease groups in 2014 vs. 2019.

Recent ACS < 1 yearIschemic stroke without ACSPAD without ACS or ischemic strokeOther CHDTotal ASCVD
2014201920142019201420192014201920142019
Number690,524823,4904912,5556276,9333588,6545769,3649121,50411,136,17118,313,23624,005,959
High-intensity statin,%*20.1%52.4%9.2%29.4%7.9%16.4%13.0%22.9%11.2%24.0%
Monotherapy98.9%97.9%98.1%98.6%98.3%94.7%98.5%93.8%98.4%95.8%
Plus ezetimibe1.1%0.9%1.9%0.8%1.7%4.2%1.5%5.5%1.6%3.5%
Plus PCSK9i (with or without ezetimibe)1.2%0.6%1.0%0.7%0.7%
Moderate to low-intensity statin,%*32.9%22.1%35.0%28.9%30.7%30.9%32.7%35.1%32.9%32.1%
Monotherapy99.0%94.1%99.2%99.1%98.9%98.4%99.0%99.0%99.0%98.8%
Plus ezetimibe1.0%5.2%0.8%0.9%1.1%1.3%1.0%0.9%1.0%1.1%
Plus PCSK9i (with or without ezetimibe)0.7%0.0%0.3%0.0%0.1%
Ezetimibe,%*1.3%3.5%1.4%2.4%1.9%1.9%2.1%3.1%1.9%2.6%
Ezetimibe only100.0%97.4%100.0%96.5%100.0%93.5%100.0%97.3%100.0%96.5%
Plus PCSK9i2.6%3.5%6.5%2.7%3.5%
PCSK9i only,%*1.5%0.7%0.5%0.5%0.6%
No LLT,%*45.7%20.5%54.4%38.6%59.5%50.3%52.3%38.4%54.0%40.7%

Numbers in these rows denote absolute percentages and add up to 100% vertically. All other numbers are relative percentages of the absolute percentages

Abbreviations: ACS, acute coronary syndrome; ASCVD, atherosclerotic cardiovascular disease; CHD, coronary heart disease; LLT, lipid-lowering therapy; PAD, peripheral arterial disease; PCSK9i, PCSK9 inhibitor.

Treatment status for hierarchical ASCVD disease groups in 2014 vs. 2019. Numbers in these rows denote absolute percentages and add up to 100% vertically. All other numbers are relative percentages of the absolute percentages Abbreviations: ACS, acute coronary syndrome; ASCVD, atherosclerotic cardiovascular disease; CHD, coronary heart disease; LLT, lipid-lowering therapy; PAD, peripheral arterial disease; PCSK9i, PCSK9 inhibitor. Treatment status of each disease group stratified by LDL-C levels is shown in Table 4. In general, within each disease group, patients with LDL-C < 70 mg/dL had higher utilization of high-intensity statins and PCSK9 inhibitors compared to patients with LDL-C ≥ 70 mg/dL. Absence of any LLTs at baseline was less common for those with LDL-C < 70 mg/dL than for those with LDL-C ≥ 70 mg/dL (15.1% vs. 50.3%). Among patients who had met the LDL-C goal of < 70 mg/dL, the proportions of patients using PCSK9 inhibitors were 3.3%, 1.4%, 2.8%, and 1.5% for patients with recent ACS, ischemic stroke, PAD and other CHD, respectively. In contrast, the utilization of PCSK9 inhibitors was much lower among those with LDL-C ≥ 70 mg/dL (1.6% for recent ACS patients and less than 1% for the other categories). Utilization of high-intensity statin and ezetimibe combination was also much lower among patients with LDL-C ≥ 70 mg/dL than those with LDL-C < 70 mg/dL (0.4% vs. 1.9% among ASCVD patients). We also examined treatment status for patients who reached LDL-C < 55 mg/dL vs. those who did not, and observed the same treatment pattern (Appendix table 3). In addition, we noticed that older patients had higher utilization of LLTs, and the utilization of statins (especially high-intensity statins) and ezetimibe were slightly higher among male patients than female patients, however, the average LDL-C values were similar (data not shown).
Table 4

Treatment status for hierarchical ASCVD disease groups stratified by LDL-C (<70 vs. >=70 mg/dL).

Recent ACS < 1 yearIschemic stroke without ACSPAD without ACS or ischemic strokeOther CHDTotal ASCVD
LDL-C<70LDL-C>=70LDL-C<70LDL-C>=70LDL-C<70LDL-C>=70LDL-C<70LDL-C>=70LDL-C<70LDL-C>=70
Number360,401463,0891934,4254342,5081107,2014662,1633168,4467967,7256570,47417,435,485
High-intensity statin,%*66.0%41.8%49.4%20.5%33.4%12.3%40.0%16.1%43.1%16.9%
Monotherapy96.6%99.6%98.4%98.8%91.7%96.6%91.4%96.2%94.3%97.3%
Plus ezetimibe,%1.3%0.4%0.5%1.2%6.3%2.9%7.6%3.5%4.5%2.5%
Plus PCSK9i (with or without ezetimibe)2.1%0.0%1.1%0.0%2.0%0.4%1.0%0.3%1.2%0.2%
Moderate to low-intensity statin,%*23.5%21.0%30.1%28.4%40.2%28.7%41.1%32.7%36.8%30.3%
Monotherapy91.9%95.9%99.1%99.2%98.6%98.3%98.8%99.1%98.6%98.9%
Plus ezetimibe6.6%4.1%0.9%0.8%0.9%1.5%1.1%0.9%1.2%1.1%
Plus PCSK9i (with or without ezetimibe)1.5%0.0%0.0%0.0%0.6%0.2%0.1%0.0%0.2%0.1%
Ezetimibe,%*5.7%1.8%3.5%1.8%2.5%1.8%4.9%2.3%4.2%2.1%
Ezetimibe only96.4%100.0%92.3%100.0%82.7%97.1%94.9%99.4%93.1%99.0%
Plus PCSK9i3.6%0.0%7.7%0.0%17.3%2.9%5.1%0.6%6.9%1.0%
PCSK9i only,%*1.4%1.6%0.6%0.7%1.5%0.3%0.8%0.4%0.9%0.5%
No LLT,%*3.5%33.8%16.3%48.5%22.3%56.9%13.1%48.4%15.1%50.3%
No LLT within 30 days49.4%65.5%54.1%51.3%48.5%34.9%65.7%43.2%57.5%43.0%
Never LLT (no LLT within 5 years)50.6%34.5%45.9%48.7%51.5%65.1%34.3%56.8%42.5%57.0%

Numbers in these rows denote absolute percentages and add up to 100% vertically. All other numbers are relative percentages of the absolute percentages

Abbreviations: ACS, acute coronary syndrome; ASCVD, atherosclerotic cardiovascular disease; CHD, coronary heart disease; LLT, lipid-lowering therapy; PAD, peripheral arterial disease; PCSK9i, PCSK9 inhibitor.

Treatment status for hierarchical ASCVD disease groups stratified by LDL-C (<70 vs. >=70 mg/dL). Numbers in these rows denote absolute percentages and add up to 100% vertically. All other numbers are relative percentages of the absolute percentages Abbreviations: ACS, acute coronary syndrome; ASCVD, atherosclerotic cardiovascular disease; CHD, coronary heart disease; LLT, lipid-lowering therapy; PAD, peripheral arterial disease; PCSK9i, PCSK9 inhibitor. Table 5 shows the treatment status by LDL-C levels for patients with very high risk. Overall, 34.8% of patients with very high risk achieved the LDL-C goal of < 70 mg/dL and 16.7% of patients achieved the goal of < 55 mg/dL, both higher than the numbers for overall ASCVD patients (27.4% and 11.6%, respectively). The utilization of both ezetimibe and PCSK9 inhibitors was higher among patients with very high risk vs. those without (4.1% vs. 3.8% for ezetimibe and 1.3% vs. 0.9% for PCSK9 inhibitors). Among very-high risk patients, those with LDL-C < 70 mg/dL had higher utilization of high-intensity statins, ezetimibe and PCSK9 inhibitors than those with LDL-C ≥ 70 mg/dL (51.4% vs. 24.7% for high-intensity statins, 5.7% vs. 3.2% for ezetimibe, 1.9% vs. 1.0% for PCSK9 inhibitors). This pattern was seen both in patients who had at least 2 major CV events and patients with 1 CV event and multiple high-risk conditions. The proportion of patients without any LLTs was much lower for patients with LDL-C < 70 mg/dL compared to patients with LDL-C ≥ 70 mg/dL (14.9% vs. 42.4%). We also observed that whereas utilization of high-intensity statins and ezetimibe was similar comparing patients with LDL-C <70 mg/dL and patients with LDL-C < 55 mg/dL, PCSK9 inhibitors utilization was higher for those who achieved the lower LDL-C goal (3.1% for LDL-C < 55 vs. 1.9% for LDL-C < 70) among patients with very high risk.
Table 5

Treatment status for ASCVD patients with very high risk stratified by LDL-C.

Multiple major events1 major event + multiple high-risk conditionsOverall very high risk
LDL-C < 55LDL-C < 70LDL-C >=70LDL-C < 55LDL-C < 70LDL-C >=70LDL-C < 55LDL-C < 70LDL-C >=70
N603,9741266,0811930,775650,1041342,5382948,9141254,0782608,6194879,689
High-intensity statin,%*58.6%58.4%29.4%43.8%44.7%21.7%50.9%51.4%24.7%
Monotherapy94.3%96.0%97.4%94.7%96.6%96.7%94.4%96.3%97.0%
Plus ezetimibe2.5%2.5%1.6%2.7%1.9%3.3%2.6%2.2%2.5%
Plus PCSK9i (with or without ezetimibe)3.2%1.5%0.9%2.6%1.5%0.0%3.0%1.5%0.4%
Moderate to low-intensity statin,%*24.4%23.9%27.1%36.0%33.9%31.4%30.4%29.1%29.7%
Monotherapy99.1%96.2%98.1%98.3%98.0%98.9%98.6%97.3%98.6%
Plus ezetimibe0.0%3.4%1.9%1.7%2.0%1.0%1.0%2.6%1.3%
Plus PCSK9i (with or without ezetimibe)0.9%0.4%0.0%0.0%0.0%0.1%0.3%0.2%0.1%
Ezetimibe,%*4.6%5.3%2.2%1.7%2.4%2.2%3.1%3.8%2.2%
Ezetimibe only97.0%98.8%98.9%51.9%84.0%100.0%84.2%93.9%99.6%
Ezetimibe plus PCSK9i3.0%1.2%1.1%48.1%16.0%0.0%15.8%6.1%0.4%
PCSK9i only,%*0.4%0.8%1.4%1.6%0.9%0.6%1.0%0.8%0.9%
No LLT,%*12.1%11.6%39.9%16.9%18.1%44.1%14.6%14.9%42.4%
No LLT within 30 days59.3%61.3%68.6%72.7%55.4%53.2%67.3%57.6%58.9%
Never LLT (no LLT within 5 years)40.7%38.7%31.4%27.3%44.6%46.8%32.7%42.4%41.1%

Numbers in these rows denote absolute percentages and add up to 100% vertically. All other numbers are relative percentages of the absolute percentages

Abbreviations: ACS, acute coronary syndrome; ASCVD, atherosclerotic cardiovascular disease; CHD, coronary heart disease; LLT, lipid-lowering therapy; PAD, peripheral arterial disease; PCSK9i, PCSK9 inhibitor.

Treatment status for ASCVD patients with very high risk stratified by LDL-C. Numbers in these rows denote absolute percentages and add up to 100% vertically. All other numbers are relative percentages of the absolute percentages Abbreviations: ACS, acute coronary syndrome; ASCVD, atherosclerotic cardiovascular disease; CHD, coronary heart disease; LLT, lipid-lowering therapy; PAD, peripheral arterial disease; PCSK9i, PCSK9 inhibitor.

Discussion

In this study, we estimated that the overall prevalence of ASCVD in the US in 2019 to be 24.0 million, approximately 10% of the total US population above 21 years old. We found heavy comorbidity burden among ASCVD patients, and 31.2% were at very high risk for recurrent events. Furthermore, the majority of ASCVD patients were not at guideline-recommended LDL-C goal. Although there was a significant increase in the use of LLTs (especially of high-intensity statins) in 2019 compared to 2014, overall LLT utilization remained low, with only 3.8% of ASCVD patients on ezetimibe, less than 1% on PCSK9 inhibitors and over 40% on no LLTs. We also found higher utilization of LLTs among patients who were at goal of <70 or <55 mg/dL vs. those not at goal. Compared to our previous analysis using 2014 data, we observed an increased prevalence in ASCVD in 2019. Although such increase is greater than the overall increase in US population over 21 years old (from 72.7% to 73.7%), it is consistent with the statistic reports by AHA, which showed an increasing trend in the prevalence of all major categories of cardiovascular disease in the 2014–2019 period, including stroke, PAD, and CHD[13,14]. Such increase highlights the magnitude and continuing progression of the cardiovascular disease burden in the US, though it may also be partly driven by the extended survival of CHD patients due to more effective LLTs becoming available. The proportion of patients with very high risk remained stable compared to 2014. Despite the significant increase in utilization of LLTs, such as high-intensity statins and ezetimibe among ASCVD patients in 2019 compared to 5 years ago, overall utilization of LLTs remains low. This is especially true for PCSK9 inhibitors and high-intensity statin and ezetimibe combination, both of which were used by less than 1% of ASCVD patients in spite of guideline recommendation. Such low utilization of PCSK9 inhibitors was also reported by Chamberlain et al., who found <1% of patients with dyslipidemia or coronary heart disease were prescribed PCSK9 inhibitors[15]. One important barrier for physicians to prescribe PCSK9 inhibitors is the complex and time-consuming pre-authorization process[16]. Clinical inertia may also explain in part the failure to timely treatment of PCSK9 inhibitors[17]. In addition, only about 4% of ASCVD patients were on ezetimibe despite the fact that ezetimibe has been generic for several years and recommended by guidelines for all ASCVD patients not at goal with statins. Previous studies on LLT utilization in the real-world using recent data also underscored LLT underutilization among ASCVD patients, reporting 51% - 57% of ASCVD patients not on any LLTs[18], [19], [20]. This is consistent with our 2014 analysis reporting 54% not on any LLTs[6]. However, these results are lower compared to registry-based studies, which generally have more stringent inclusion and exclusion criteria, and are not generalizable to the entire US[21,22]. The increases we observed in LLT utilization in 2019 comparing to 2014 indicate improved awareness on the urgency to treat ASCVD and more compliance to guideline recommendations among healthcare providers. Additionally, patients who reached the goal suggested by guideline had significantly higher utilization in high-intensity statin/ezetimibe combination and PCSK9 inhibitors compared to those who did not. Such treatment pattern was also found among patients with very high risk. We observed an even higher PCSK9 inhibitor utilization among those who achieved the lower LDL-C goal (55 vs. 70 mg/dL). Such findings indicate the value of adding PCSK9 inhibitors for reaching LDL-C target levels. This study provides the most up-to-date estimate on the prevalence of ASCVD in the US, as well as a description on the treatment pattern and LDL-C goal attainment in this population. It is also one of very few studies that reported the real-world utilization of PCSK9 inhibitors in the United States[15]. However, this analysis has several limitations. First, we used Truven MarketScan data, which represents a subset of US insured population, including those commercially insured in part by employers and those with Medicare supplement plans. Therefore, the results may not be generalizable to uninsured, Medicaid patients, or those using some other commercial plans not included in Truven. Second, due to data limitations, we were not able to report any disparities in LLT utilization by race/ethnicity. The lack of information on race/ethnicity and other social determinants of health may limit the generalizability of this study to the entire US population. We were also not able to evaluate the treatment status and LDL-C goal attainment for a subgroup of very-high risk patients who had multiple CV events within the last 2 years, for whom the EAS/ESC guideline recommended an even lower treatment goal of LDL-C < 40 mg/dL[9]. These are important directions for future study. In addition, we considered patients currently on LLT if the runout date of an LLT prescription was within 30 days of index date. There is a chance of misclassification if a prescription was written following the index LDL-C measurement but took over 30 days to get approved. This is possible for new initiators on PCSK9 inhibitors due to the access barriers put in place by payors. In conclusion, we estimate that approximately 24 million patients in the US had ASCVD in 2019 and highlight an overall underutilization of LLTs despite an increase in high-intensity statins use since 2014. Yet High-intensity statins were used in only 24.0% of ASCVD patients, and among those with LDL-C ≥ 70 mg/dL, ezetimibe was prescribed in only 2.8% and PCSK9 inhibitors in less than 1% of ASCVD patients in spite of evidence of their efficacy in LDL-C lowering and ability to reduce CHD risk, as well as the generic status of statins and ezetimibe. Increased awareness of guidelines by healthcare providers and urgency to treat ASCVD is needed in order to improve LLT utilization and help more patients reach the LDL-C goal.

Disclosures

Jing Gu, Robert Sanchez and Sergio Fazio are employees of and stockholders in Regeneron Pharmaceuticals, Inc. Ankita Chauhan is an employee of Axtria. Nathan Wong reports research support through his institution from Novartis and Gilead, is a consultant for Novartis, and reports advisory board participation with Amgen during the last 12 months. The sponsors were involved in the study design, and collection, analysis and interpretation of data, as well as data checking of information provided in the manuscript. All authors had unrestricted access to study data, were responsible for all content and editorial decisions, and received no honoraria related to the development of this publication.

Statement of authorship

Jing Gu, Robert Sanchez and Sergio Fazio designed the study. Ankita Chauhan conducted the analysis. All authors contributed to writing and editing, and provided final review and approval of the manuscript. Central illustration ACS: acute coronary syndrome; ASCVD: atherosclerotic cardiovascular disease; CHD: coronary heart disease; PAD: peripheral arterial disease; LLT: lipid lowering therapies

Declaration of interests

The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Jing Gu reports a relationship with Regeneron Pharmaceuticals Inc that includes: employment and equity or stocks. Robert Sanchez reports a relationship with Regeneron Pharmaceuticals Inc that includes: employment and equity or stocks. Sergio Fazio reports a relationship with Regeneron Pharmaceuticals Inc that includes: employment and equity or stocks. Ankita Chauhan reports a relationship with Axtria that includes: employment. Nathan Wong reports a relationship with Novartis that includes: consulting or advisory and funding grants. Nathan Wong reports a relationship with Gilead that includes: funding grants. Nathan Wong reports a relationship with Amgen Inc that includes: board membership. The sponsors were involved in the study design, and collection, analysis and interpretation of data, as well as data checking of information provided in the manuscript. All authors had unrestricted access to study data, were responsible for all content and editorial decisions, and received no honoraria related to the development of this publication.
  20 in total

1.  Heart disease and stroke statistics--2014 update: a report from the American Heart Association.

Authors:  Alan S Go; Dariush Mozaffarian; Véronique L Roger; Emelia J Benjamin; Jarett D Berry; Michael J Blaha; Shifan Dai; Earl S Ford; Caroline S Fox; Sheila Franco; Heather J Fullerton; Cathleen Gillespie; Susan M Hailpern; John A Heit; Virginia J Howard; Mark D Huffman; Suzanne E Judd; Brett M Kissela; Steven J Kittner; Daniel T Lackland; Judith H Lichtman; Lynda D Lisabeth; Rachel H Mackey; David J Magid; Gregory M Marcus; Ariane Marelli; David B Matchar; Darren K McGuire; Emile R Mohler; Claudia S Moy; Michael E Mussolino; Robert W Neumar; Graham Nichol; Dilip K Pandey; Nina P Paynter; Matthew J Reeves; Paul D Sorlie; Joel Stein; Amytis Towfighi; Tanya N Turan; Salim S Virani; Nathan D Wong; Daniel Woo; Melanie B Turner
Journal:  Circulation       Date:  2013-12-18       Impact factor: 29.690

2.  Implications of the 2013 ACC/AHA cholesterol guidelines for adults in contemporary cardiovascular practice: insights from the NCDR PINNACLE registry.

Authors:  Thomas M Maddox; William B Borden; Fengming Tang; Salim S Virani; William J Oetgen; J Brendan Mullen; Paul S Chan; Paul N Casale; Pamela S Douglas; Fredrick A Masoudi; Steven A Farmer; John S Rumsfeld
Journal:  J Am Coll Cardiol       Date:  2014-11-19       Impact factor: 24.094

3.  International prevalence, recognition, and treatment of cardiovascular risk factors in outpatients with atherothrombosis.

Authors:  Deepak L Bhatt; P Gabriel Steg; E Magnus Ohman; Alan T Hirsch; Yasuo Ikeda; Jean-Louis Mas; Shinya Goto; Chiau-Suong Liau; Alain J Richard; Joachim Röther; Peter W F Wilson
Journal:  JAMA       Date:  2006-01-11       Impact factor: 56.272

4.  Patterns and predictors of lipid-lowering therapy in patients with atherosclerotic cardiovascular disease and/or diabetes mellitus in 2014: Insights from a large US managed-care population.

Authors:  Dylan L Steen; Irfan Khan; Laura Becker; JoAnne M Foody; Katherine Gorcyca; Robert J Sanchez; Robert P Giugliano
Journal:  Clin Cardiol       Date:  2016-12-27       Impact factor: 2.882

5.  Efficacy and safety of evolocumab in reducing lipids and cardiovascular events.

Authors:  Marc S Sabatine; Robert P Giugliano; Stephen D Wiviott; Frederick J Raal; Dirk J Blom; Jennifer Robinson; Christie M Ballantyne; Ransi Somaratne; Jason Legg; Scott M Wasserman; Robert Scott; Michael J Koren; Evan A Stein
Journal:  N Engl J Med       Date:  2015-03-15       Impact factor: 91.245

6.  AMERICAN ASSOCIATION OF CLINICAL ENDOCRINOLOGISTS AND AMERICAN COLLEGE OF ENDOCRINOLOGY GUIDELINES FOR MANAGEMENT OF DYSLIPIDEMIA AND PREVENTION OF CARDIOVASCULAR DISEASE.

Authors:  Paul S Jellinger; Yehuda Handelsman; Paul D Rosenblit; Zachary T Bloomgarden; Vivian A Fonseca; Alan J Garber; George Grunberger; Chris K Guerin; David S H Bell; Jeffrey I Mechanick; Rachel Pessah-Pollack; Kathleen Wyne; Donald Smith; Eliot A Brinton; Sergio Fazio; Michael Davidson
Journal:  Endocr Pract       Date:  2017-04       Impact factor: 3.443

7.  2019 ESC/EAS Guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk.

Authors:  François Mach; Colin Baigent; Alberico L Catapano; Konstantinos C Koskinas; Manuela Casula; Lina Badimon; M John Chapman; Guy G De Backer; Victoria Delgado; Brian A Ference; Ian M Graham; Alison Halliday; Ulf Landmesser; Borislava Mihaylova; Terje R Pedersen; Gabriele Riccardi; Dimitrios J Richter; Marc S Sabatine; Marja-Riitta Taskinen; Lale Tokgozoglu; Olov Wiklund
Journal:  Eur Heart J       Date:  2020-01-01       Impact factor: 29.983

8.  Heart Disease and Stroke Statistics-2021 Update: A Report From the American Heart Association.

Authors:  Salim S Virani; Alvaro Alonso; Hugo J Aparicio; Emelia J Benjamin; Marcio S Bittencourt; Clifton W Callaway; April P Carson; Alanna M Chamberlain; Susan Cheng; Francesca N Delling; Mitchell S V Elkind; Kelly R Evenson; Jane F Ferguson; Deepak K Gupta; Sadiya S Khan; Brett M Kissela; Kristen L Knutson; Chong D Lee; Tené T Lewis; Junxiu Liu; Matthew Shane Loop; Pamela L Lutsey; Jun Ma; Jason Mackey; Seth S Martin; David B Matchar; Michael E Mussolino; Sankar D Navaneethan; Amanda Marma Perak; Gregory A Roth; Zainab Samad; Gary M Satou; Emily B Schroeder; Svati H Shah; Christina M Shay; Andrew Stokes; Lisa B VanWagner; Nae-Yuh Wang; Connie W Tsao
Journal:  Circulation       Date:  2021-01-27       Impact factor: 29.690

9.  PCSK9 Inhibitor Use in the Real World: Data From the National Patient-Centered Research Network.

Authors:  Alanna M Chamberlain; Yan Gong; Kathryn McAuliffe Shaw; Jiang Bian; Wen-Liang Song; MacRae F Linton; Vivian Fonseca; Eboni Price-Haywood; Emily Guhl; Jordan B King; Rashmee U Shah; Jon Puro; Elizabeth Shenkman; Pamala A Pawloski; Karen L Margolis; Adrian F Hernandez; Rhonda M Cooper-DeHoff
Journal:  J Am Heart Assoc       Date:  2019-05-07       Impact factor: 5.501

10.  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.

Authors:  B Mihaylova; J Emberson; L Blackwell; A Keech; J Simes; E H Barnes; M Voysey; A Gray; R Collins; C Baigent
Journal:  Lancet       Date:  2012-05-17       Impact factor: 79.321

View more
  1 in total

1.  ASPC president's page: Getting back to basics one patient at a time.

Authors:  Peter P Toth
Journal:  Am J Prev Cardiol       Date:  2022-05-12
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.