Getting to an ImprOved Understanding of Low-Density Lipoprotein-Cholesterol and Dyslipidemia Management (GOULD): Methods and baseline data of a registry of high cardiovascular risk patients in the United States





Background


Guidelines for managing patients with atherosclerotic cardiovascular disease (ASCVD) recommend statin therapy initially. Target levels/goals for low-density lipoprotein-cholesterol (LDL-C) were initially included, subsequently de-emphasized in 2013, and then re-introduced as thresholds, leading to confusion in clinical practice. We designed a multicenter, observational registry of patients with ASCVD, to describe and track LDL-C treatment patterns in the United States over time.


Methods


Patients with ASCVD receiving any pharmacologic lipid-lowering therapy were eligible for enrollment in one of three cohorts: 1) currently receiving a proprotein convertase subtilisin/kexin type 9 inhibitor (PCSK9i), or not receiving PCSK9i with 2) LDL-C 70–99 mg/dL, or 3) LDL-C ≥100 mg/dL. Patients undergo a 1-year retrospective chart review, followed by chart reviews and phone interviews every 6 months for 2 years.


Results


A total of 5006 patients were enrolled at 119 centers. Mean age was 68 years, 40% of patients were female, 86% were white, 80% had coronary artery disease, and 33% had type 2 diabetes mellitus. Among those not on a PCSK9i, high-intensity statins and ezetimibe were utilized in only 44% and 9%, respectively. Among women vs men, only 36.6% vs 48.2% received high-intensity statins ( P < .001). Among patients on a PCSK9i, only one-third were receiving a statin, suggesting statin intolerance is a driver of PCSK9i use at present.


Conclusion


Our data on current practice in the US continue to illustrate that high-intensity statins and ezetimibe are underutilized in at-risk patients outside of clinical trials, particularly women. This study will track temporal changes in treatment patterns and identify opportunities for improvement in lipid management in patients with ASCVD.


Lipid lowering has been demonstrated to be one of the most effective strategies to reduce cardiovascular morbidity and mortality. In patients with atherosclerotic cardiovascular disease (ASCVD), benefits of LDL-C reduction have been seen in large clinical trials with statins, ezetimibe, and, most recently, proprotein convertase subtilisin/kexin type 9 inhibitors (PCSK9i). In patients with ASCVD, higher-intensity statin regimens provide additional reduction in cardiovascular events and death beyond that seen with moderate intensity statins. The addition of PCSK9i can reduce LDL-C levels by approximately 60% when added to maximally-tolerated statin treatment, including patients with statin intolerance, and results in incremental reduction in ASCVD risk.


In clinical practice, however, utilization of all classes of lipid-lowering therapies (LLT) has been considerably lower than expected, and the reasons have not been clear. It has been observed in large administrative databases that many patients with ASCVD are not receiving statins, and those who are receiving statins frequently do not achieve LDL-C targets. Even among patients admitted to the hospital with myocardial infarction (MI), recent data show that only 30% to 40% of those who fill a statin prescription post-event are receiving a high-intensity statin. Adherence to high-intensity statins is also suboptimal. Reasons for this underutilization of statins and non-statin LLT include clinical inertia, with failure by both clinicians in following guidelines, and patients with adhering to treatment recommendations, as well as other system barriers, including cost. As such, cardiovascular risk remains higher than would be observed with optimal statin therapy.


Guidelines have provided direction on use of cholesterol-lowering drugs; however, the 2013 American College of Cardiology/American Heart Association (ACC/AHA) guidelines emphasized only statin therapy. In addition, while prior AHA guidelines had emphasized LDL-C targets, the 2013 ACC/AHA guidelines de-emphasized use of LDL-C targets, instead focusing on patient risk and relative LDL-C reduction from baseline. In 2018, the ACC/AHA guidelines introduced an LDL-C threshold of 70 mg/dL (or non-HDL-C threshold of 100 mg/dL) to guide whether to add a nonstatin to statin therapy among patients with very high-risk ASCVD. As such, there remains confusion regarding guideline-recommended management approaches for patients with ASCVD.


Accordingly, GOULD, a multicenter, observational registry of patients with ASCVD. The primary study objective is to describe LDL-C treatment patterns over time in patients with clinical ASCVD in the United States. In this report, we describe the methods of our registry and the baseline characteristics and treatments used in enrolled patients.


Methods


The primary objective of this multicenter observational registry ( NCT02993120 ) is to describe LDL-C treatment patterns over time in patients with clinical ASCVD. Secondary objectives are to describe LDL-C levels and measurement patterns in patients with clinical ASCVD, and to describe patient and physician perceptions of cardiovascular risk, goals of lipid management, and attitudes toward LLT. Exploratory objectives are to estimate the effect of patient, physician, and practice-level factors on LLT patterns, describe management of statin intolerance, and describe changes in LLT patterns after the release of updated lipid management guidelines and new clinical study data.


Patients


To be eligible for the registry, patients had to be at least 18 years of age and have established ASCVD, defined as having any one of following clinical conditions: prior history of MI, coronary artery disease (CAD), coronary or other arterial revascularization, ischemic stroke or transient ischemic attack, carotid artery stenosis, or documented peripheral arterial disease secondary to atherosclerosis (aortic aneurysm, ankle brachial index <0.9, imaging evidence of >50% stenosis in any peripheral artery, or intermittent claudication). Patients were enrolled into one of three cohorts: (1) currently receiving a PCSK9i, (2) receiving no PCSK9i with LDL-C 70–99 mg/dL, and (3) receiving no PCSK9i with LDL-C ≥100 mg/dL. All patients had to be receiving some type of stable LLT for at least 4 weeks prior to enrollment, including the PCSK9i cohort, at the discretion of the treating physician. Of note, patients with LDL-C <70 mg/dL were not eligible unless they were receiving a PCSK9i.


Patients were not eligible for inclusion in the registry if unable or unwilling to provide informed consent including but not limited to cognitive or language barriers, were currently participating or planned to participate in an interventional clinical study involving any investigational medical device or drug treatment at the time of enrollment, had a life expectancy <12 months, or were currently pregnant, breast feeding, or planning to become pregnant.


Study procedures


Sites screened potentially eligible patients, and those who were eligible were asked to provide informed consent prior to enrollment. Baseline data collection and a 1-year retrospective chart review were carried out by research personnel at the enrolling site. Patient charts are prospectively reviewed and data will be abstracted every 6 months for 2 years from the time of enrollment. Laboratory values and medication use recorded in the electronic care report forms were the most recent values or medication use to the time of the visit. In this study, the collection and reporting of safety information is required only for patients exposed to evolocumab. Patients were approached to complete interactive phone surveys at baseline and every 6 months throughout the study to determine their perceptions of LLT. At each center, one physician was asked to fill out a questionnaire at the time of enrollment of their first patient, and at 1 and 2 years following this date regarding their perceptions and patterns of use of LLT. (See Fig. 1 .)




Figure 1


Study schema.


Patients were asked about their understanding of why they were taking LLT, and reasons for any changes in their therapy in the past, as well as detailed questions about their experience with statins, ezetimibe and PCSK9 inhibitors if they had taken these, including any barriers to being able to take these agents such as issues with insurance and co-pays. Physicians were asked about their goals of LLT, the frequency of lipid testing they use, and their perception of most reasons for non-adherence in their patients. They were asked about their approach to specific patient types, including those with statin intolerance.


Outcome variables


The primary outcome variable is change in LLT. This outcome includes initiating or discontinuing statin therapy, PCSK9i, or ezetimibe, increasing or decreasing the dose of a statin or PCSK9i, switching to a different type of statin or PCSK9i, changes in other LLT (including fish oil/omega-3 preparations, bile acid sequestrants, mipomersen, lomitapide, apheresis, and any new LLT therapy that enters the market after study initiation) or no changes in LLT. A secondary outcome variable is whether or not LDL-C and other lipid values are measured, and if so, when and the values. A key outcome variable of interest from the physician questionnaires is physicians’ lipid treatment objective in patients with ASCVD. During patient phone surveys, we collect patient-reported outcomes, and patient perceptions and attitudes toward their ASCVD risk and LLT.


Statistical considerations


The patient population cohorts had planned sizes (±10%) as follows: approximately 500 patients receiving a PCSK9i at baseline; approximately 2500 patients with LDL-C between 70 and 99 mg/dL; and approximately 2000 patients with LDL-C ≥100 mg/dL.


No formal hypothesis will be tested in this observational study. Point estimates of outcomes (eg, the percent of patients intensifying nonstatin therapy) will be generated along with 95% confidence intervals (CIs). Continuous variables will be summarized by the evaluable sample size, mean, median, standard deviation, quartiles, minimum and maximum. With 5000 patients, the percentage of patients with a given LLT pattern (eg, adding a nonstatin therapy, reducing a statin dose, or switching statins) would be estimated with a 95% CI no wider than ±0.69%. For analyses limited to a 2000 patient cohort, the maximum 95% CI would be ±1.10%.


Results


Between December 2016 and July 2018, 5006 patients were enrolled at 119 participating centers. Data in this report are based on a dataset generated on April 16, 2019. Table I defines the characteristics of the centers: 85.7% were non-hospital based practices, and 15.1% were in rural locations; 22% were solo practice, 34.7% had 2–5 physicians in the group, while 27% had ≥10 physicians, with 33.9% of all practices being multispecialty groups.



Table I

Site characteristics































































































































Characteristics Total
(N = 119 Sites)
Geographic regions
Northeast 16.8% (20/119)
Northwest 20.2% (24/119)
South 44.5% (53/119)
West 18.5% (22/119)
Hospital or non-hospital based site
Hospital 14.3% (17/119)
Non-hospital 85.7% (102/119)
Type of practice
Teaching 16.1% (19/118)
Non-Teaching 83.9% (99/118)
Paper or electronic medical records
Paper 26.3% (31/118)
Electronic 73.7% (87/118)
Location
Rural 15.1% (18/119)
Urban 84.9% (101/119)
Presence of lipid management protocols 39.5% (47/119)
Approximately once a year 25.5% (12/47)
Approximately every 6 months 6.4% (3/47)
As guidelines change 42.6% (20/47)
Other 25.5% (12/47)
Degree of formulary control over the site
Total 34.5% (41/119)
Partial 14.3% (17/119)
None 51.3% (61/119)
Number of physicians in the practice group
1 22.9% (27/118)
2–5 34.7% (41/118)
6–10 15.3% (18/118)
10+ 27.1% (32/118)
Single or multiple specialty group
Single 66.1% (78/118)
Multiple 33.9% (40/118)
Lead physician specialty
Cardiology 45.8% (54/118)
Internal medicine 44.9% (53/118)
Nephrology 0.9% (1/118)
Endocrinology 2.5% (3/118)
Other 5.9% (7/118)


At baseline, mean (SD) age was 68 +/−10 years, 40% of patients were female, 86% were white, 80% had CAD, 35% had a family history of premature ASCVD, and 33% had type 2 diabetes mellitus ( Table II ). Patients were enrolled across the US (West: n = 845; Midwest: n = 1026; South: n = 2378; Northeast: n = 757).



Table II

Baseline characteristics








































































































































































Characteristics Patient cohort
PCSK9i
(n = 554)
LDL-C ≥100 mg/dL
(n = 1802)
LDL-C 70–99 mg/dL
(n = 2650)
Total
(N = 5006)
Mean (SD) age, y 65.9 (9.7) 66.5 (10.3) 69.0 (9.6) 67.8 (9.9)
Male, n (%) 310 (56.0) 960 (53.3) 1751 (66.1) 3021 (60.3)
Race or ethnicity, n (%)
White 505 (91.2) 1465 (81.3) 2343 (88.4) 4313 (86.2)
Black or African American 33 (6.0) 260 (14.4) 208 (7.8) 501 (10.0)
Asian 6 (1.1) 31 (1.7) 56 (2.1) 93 (1.9)
Other race 10 (1.8) 46 (2.6) 43 (1.6) 99 (2.0)
Hispanic or Latino 21 (3.8) 198 (11.0) 177 (6.7) 396 (7.9)
Geographic region, n (%)
Northeast 115 (20.8) 236 (13.1) 406 (15.3) 757 (15.1)
Midwest 182 (32.9) 337 (18.7) 507 (19.1) 1026 (20.5)
South 179 (32.3) 945 (52.4) 1254 (47.3) 2378 (47.5)
West 78 (14.1) 284 (15.8) 483 (18.2) 845 (16.9)
Mean (SD) BMI, kg/m 2 30.2 (5.3) 30.8 (6.4) 30.5 (6.0) 30.6 (6.1)
Cardiovascular disease, n (%)
Coronary artery disease 485 (87.5) 1358 (75.4) 2162 (81.6) 4005 (80.0)
Cerebrovascular accident 45 (8.1) 210 (11.7) 243 (9.2) 498 (9.9)
Peripheral artery disease 68 (12.3) 248 (13.8) 335 (12.6) 651 (13.0)
Myocardial infarction 150 (27.1) 564 (31.3) 845 (31.9) 1559 (31.1)
Type 2 diabetes mellitus, n (%) 142 (25.6) 641 (35.6) 876 (33.1) 1659 (33.1)
Family history of premature ASCVD, n (%) 248 (44.8) 599 (33.2) 895 (33.8) 1742 (34.8)
Lipids, median (Q1, Q3)
LDL-C, mg/dL 67 (42,104) 120 (108, 141) 82 (75, 89) 91 (78,113)
HDL-C, mg/dL 48 (41, 60) 47 (39, 58) 47 (39, 57) 47 (39, 58)
Triglycerides, mg/dL 128 (92, 178) 137 (97, 193) 115 (84,158) 124 (89, 173)
Total cholesterol, mg/dL 146 (119, 188) 200 (182, 224) 156 (144, 168) 168 (149,195)

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Aug 18, 2020 | Posted by in CARDIOLOGY | Comments Off on Getting to an ImprOved Understanding of Low-Density Lipoprotein-Cholesterol and Dyslipidemia Management (GOULD): Methods and baseline data of a registry of high cardiovascular risk patients in the United States

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