Cardiovascular Disease Risk-Based Statin Utilization and Associated Outcomes in a Primary Prevention Cohort: Insights From a Large Health Care Network

BACKGROUND

Current American College of Cardiology/American Heart Association guidelines recommend using the 10-year atherosclerotic cardiovascular disease (ASCVD) risk to guide statin therapy for primary prevention. Real-world data on adherence and consequences of nonadherence to the guidelines in primary are limited. We investigated the guideline-directed statin intensity (GDSI) and associated outcomes in a large health care system, stratified by ASCVD risk.

METHODS

Statin prescription in patients without coronary artery disease, peripheral vascular disease, or ischemic stroke were evaluated within a large health care network (2013-2017) using electronic medical health records. Patient categories constructed by the 10-year ASCVD risk were borderline (5%-7.4%), intermediate (7.5%-19.9%), or high (≥20%). The GDSI (before time of first event) was defined as none or any intensity for borderline, and at least moderate for intermediate and high-risk groups. Mean (±SD) time to start/change to GDSI from first interaction in health care and incident rates (per 1000 person-years) for each outcome were calculated. Cox regression models were used to calculate hazard ratios for incident ASCVD and mortality across risk categories stratified by statin utilization.

RESULTS

Among 282 298 patients (mean age ≈50 years), 29 134 (10.3%), 63 299 (22.4%), and 26 687 (9.5%) were categorized as borderline, intermediate, and high risk, respectively. Among intermediate and high-risk categories, 27 358 (43%) and 8300 (31%) patients did not receive any statin, respectively. Only 17 519 (65.6%) high-risk patients who were prescribed a statin received GDSI. The mean time to GDSI was ≈2 years among the intermediate and high-risk groups. At a median follow-up of 6 years, there was a graded increase in risk of ASCVD events in intermediate risk (hazard ratio=1.15 [1.07-1.24]) and high risk (hazard ratio=1.27 [1.17-1.37]) when comparing no statin use with GDSI therapy. Similarly, mortality risk among intermediate and high-risk groups was higher in no statin use versus GDSI.

CONCLUSIONS

In a real-world primary prevention cohort, over one-third of statin-eligible patients were not prescribed statin therapy. Among those receiving a statin, mean time to GDSI was ≈2 years. The consequences of nonadherence to guidelines are illustrated by greater incident ASCVD and mortality events. Further research can develop and optimize health care system strategies for primary prevention.

Outcomes of Acute Myocardial Infarction in Patients with Familial Hypercholesteremia

BACKGROUND

There is a paucity of contemporary data regarding the outcomes of acute myocardial infarction among patients with familial hypercholesteremia.

METHODS

We queried the Nationwide Readmissions Database (2016-2018) for hospitalizations with acute myocardial infarction. Multivariable regression analysis was used to compare in-hospital outcomes and 30-day readmissions among patients with and without familial hypercholesteremia.

RESULTS

The analysis included 1,363,488 hospitalizations with acute myocardial infarction. The prevalence of familial hypercholesteremia was 0.07% among acute myocardial infarction admissions. Compared with those without familial hypercholesteremia, admissions with familial hypercholesteremia were younger and had less comorbidities but were more likely to have had prior infarct and revascularization. Admissions with familial hypercholesteremia were more likely to present with ST-elevation myocardial infarction and undergo revascularization. After multivariable adjustment, there was no difference in in-hospital case fatality among patients with hypercholesteremia compared with those without it (adjusted odds ratio [aOR] = 0.76; 95% confidence interval [CI] 0.41-1.39). Admissions with acute myocardial infarction and familial hypercholesteremia had higher adjusted rates of cardiac arrest and utilization of mechanical support. There were no group differences in overall 30-day readmission (aOR 0.75; 95% CI 0.51-1.10) or 30-day readmission for acute myocardial infarction. However, a nonsignificant trend toward higher readmission for percutaneous coronary intervention was observed among patients with familial hypercholesteremia (aOR 1.89; 95% CI 0.98-3.64).

CONCLUSION

In this contemporary nationwide observational analysis, patients with familial hypercholesteremia represent a small proportion of the overall population with acute myocardial infarction and have a distinctive clinical profile but do not appear to have worse in-hospital case fatality compared with those without familial hypercholesteremia.

High Burden of Subclinical and Cardiovascular Disease Risk in Adults With Metabolically Healthy Obesity: The Atherosclerosis Risk in Communities (ARIC) Study

OBJECTIVE

It is controversial whether adults who are obese but "metabolically healthy" have cardiovascular disease (CVD) risk comparable with that of normal-weight adults. High-sensitivity cardiac troponin T (hs-cTnT), a biomarker of myocardial damage, is useful in characterizing subclinical CVD. We categorized obesity phenotypes and studied their associations with subclinical and clinical CVD and CVD subtypes, including heart failure (HF).

RESEARCH DESIGN AND METHODS

We conducted cross-sectional and prospective analyses of 9,477 adults in the Atherosclerosis Risk in Communities (ARIC) study. We used the Adult Treatment Panel III criteria and BMI to define obesity phenotypes as follows: metabolically healthy normal weight, metabolically healthy overweight, metabolically healthy obese, metabolically unhealthy normal weight, metabolically unhealthy overweight, and metabolically unhealthy obese.

RESULTS

At baseline (1990-1992), mean age was 56 years, 56% were female, 23% were Black, and 25% had detectable hs-cTnT (≥6 ng/L). Over a median of 17 years of follow-up, there were 2,603 clinical CVD events. Those with the metabolically healthy obese (hazard ratio [HR] 1.38, 95% CI 1.15-1.67), metabolically unhealthy normal weight (HR 1.51, 95% CI 1.30-1.76), metabolically unhealthy overweight (HR 1.60, 95% CI 1.41-1.82), and metabolically unhealthy obese (HR 2.14, 95% CI 1.88-2.44) phenotypes had higher CVD risks in comparison with metabolically healthy normal weight. Detectable hs-cTnT (≥6 ng/L) was associated with higher CVD risk, even among metabolically healthy normal-weight adults. Metabolically healthy obese adults had higher HF risk (HR 1.65, 95% CI 1.30-2.09) in comparison with metabolically healthy normal weight.

CONCLUSIONS

The metabolically healthy obese phenotype was associated with excess burden of clinical CVD, primarily driven by an excess risk of HF. hs-cTnT was useful in stratifying CVD risk across all obesity phenotypes, even among obese individuals who appear otherwise metabolically healthy.

Social Determinants of Health and Comorbidities Among Individuals with Atherosclerotic Cardiovascular Disease: The Behavioral Risk Factor Surveillance System Survey

Individuals with atherosclerotic cardiovascular disease (ASCVD) often have a high burden of comorbidities. Social determinants of health (SDOH) may complicate adherence to treatment in these patients. This study assessed the association of comorbidities and SDOH among individuals with ASCVD. Cross-sectional data from the 2016 to 2019 Behavioral Risk Factor Surveillance System, a nationally representative US telephone-based survey of adults ages ≥18 years, were used. Cardiovascular comorbidities included hypertension, hyperlipidemia, diabetes mellitus, current cigarette smoking, and chronic kidney disease. Non-cardiovascular comorbidities included chronic obstructive pulmonary disease, asthma, arthritis, cancer, and depression. SDOH associated with being at or above the 75^th percentile of comorbidity burden were analyzed using multivariable adjusted logistic regression models. The study population included 387,044 individuals, 9% of whom had ASCVD. The mean (SD) numbers of total, cardiovascular, and non-cardiovascular comorbidities were 1.97 (1.27), 1.28 (0.74), 0.69 (0.91) among those without ASCVD and 3.28 (1.62), 1.73 (0.91), and 1.54 (1.22) among those with ASCVD, respectively (P < 0.001 for all comparisons). Female gender, household income ≤$75,000, being unemployed, and difficulty accessing health care were significantly associated with a higher burden of comorbidities among those with ASCVD. The mean (SD) numbers of comorbidities for those with 0, 1, 2, and ≥3 of the aforementioned SDOH were 2.89 (1.45), 2.86 (1.47), 3.39 (1.58), and 4.01 (1.73), respectively (P < 0.001). Among persons with ASCVD, the burden of cardiovascular and non-cardiovascular comorbidities is directly proportional to SDOH in any given individual. Clinicians should address SDOH when managing high-risk individuals.

Recreational substance use among patients with premature atherosclerotic cardiovascular disease

OBJECTIVE

Despite an upsurge in the incidence of atherosclerotic cardiovascular diseases (ASCVD) among young adults, the attributable risk of recreational substance use among young patients has been incompletely evaluated. We evaluated the association of all recreational substances with premature and extremely premature ASCVD.

METHODS

In a cross-sectional analysis using the 2014-2015 nationwide Veterans Affairs Healthcare database and the Veterans wIth premaTure AtheroscLerosis (VITAL) registry, patients were categorised as having premature, extremely premature or non-premature ASCVD. Premature ASCVD was defined as having first ASCVD event at age <55 years for men and <65 years for women. Extremely premature was defined as having first ASCVD event at age <40 years while non-premature ASCVD was defined as having first ASCVD event at age ≥55 years for men and ≥65 years for women. Patients with premature ASCVD (n=135 703) and those with extremely premature ASCVD (n=7716) were compared against patients with non-premature ASCVD (n=1 112 455). Multivariable logistic regression models were used to study the independent association of all recreational substances with premature and extremely premature ASCVD.

RESULTS

Compared with patients with non-premature ASCVD, patients with premature ASCVD had a higher use of tobacco (62.9% vs 40.6%), alcohol (31.8% vs 14.8%), cocaine (12.9% vs 2.5%), amphetamine (2.9% vs 0.5%) and cannabis (12.5% vs 2.7%) (p<0.01 for all comparisons). In adjusted models, the use of tobacco (OR 1.97, 95% CI 1.94 to 2.00), alcohol (OR 1.50, 95% CI 1.47 to 1.52), cocaine (OR 2.44, 95% CI 2.38 to 2.50), amphetamine (OR 2.74, 95% CI 2.62 to 2.87), cannabis (OR 2.65, 95% CI 2.59 to 2.71) and other drugs (OR 2.53, 95% CI 2.47 to 2.59) was independently associated with premature ASCVD. Patients with polysubstance use had a graded response with the highest risk (~9-fold) of premature ASCVD among patients with use of ≥4 recreational substances. Similar trends were observed among patients with extremely premature ASCVD. Gender interactions with substance use were significant (p-interaction <0.05), with recreational substance use and premature ASCVD showing stronger associations among women than in men with premature ASCVD.

CONCLUSIONS

All subgroups of recreational substances were independently associated with a higher likelihood of premature and extremely premature ASCVD. Recreational substance use confers a greater magnitude of risk for premature ASCVD among women. A graded response relationship exists between increasing number of recreational substances used and higher likelihood of early-onset ASCVD.

RNAi inhibition of angiopoietin-like protein 3 (ANGPTL3) with ARO-ANG3 mimics the lipid and lipoprotein profile of familial combined hypolipidemia

Background

Elevated LDL-C and triglyceride rich lipoproteins (TRLs) are independent risk factors for cardiovascular disease (CVD). Genetic deficiency of angiopoietin-like protein 3 (ANGPTL3) is associated with reduced circulating levels of LDL-C, triglycerides (TGs), VLDL-C, HDL-C and reduced CVD risk, with no described adverse phenotype. ARO-ANG3 is a RNA interference drug designed to silence expression of ANGPTL3. Single doses of ARO-ANG3 have been shown to reduce ANGPTL3, TGs, VLDL-C and LDL-C in healthy volunteers (HVs, AHA 2019). We report the effects of multiple doses of ARO-ANG3 in HVs with a focus on the duration of action.

Methods

ARO-ANG3 was administered subcutaneously to HVs on days 1 and 29 at doses of 100, 200 or 300 mg (n=4 per group). Measured parameters included ANGPTL3, LDL-C, TGs, VLDL-C and HDL-C. Follow up is ongoing.

Results

All HVs have received both doses and follow-up is currently through week 16 (12 weeks after second dose). Mean nadir for ANGPTL3 levels occurred 2 weeks after the second dose (−83–93%) with minimal change for 200 and 300 mg but 16% recovery for 100 mg at week 16. Mean TGs and VLDL-C reached nadir earlier (3 wks, −61–65%) without apparent dose response and minimal change for any dose at wk 16. LDL-C nadir occurred 4–6 wks after the second dose (−45–54%), again with minimal evidence for dose response or change through wk 16. HDL-C was reduced 14–37% at wk 16. ARO-ANG3 was well tolerated without serious or severe adverse events or dropouts related to drug. The most common adverse events have been headache and upper respiratory infections.

Conclusions

Genetic deficiency of ANGPTL3 is a cause of familial combined hypolipemia and is associated with a decreased risk of CVD. Using RNAi to selectively suppress ANGPTL3 production reproduces these genetic effects with a duration of at least 12 weeks following a second dose and with good tolerability over 16 wks. ANGPTL3 inhibition results in lowering of LDL-C and TRLs which may confer protection against CVD in patients with atherogenic mixed dyslipidemia.

Funding Acknowledgement

Type of funding source: Private company. Main funding source(s): Arrowhead Pharmaceuticals

RNA interference targeting apolipoprotein C-III with ARO-APOC3 in healthy volunteers mimics lipid and lipoprotein findings seen in subjects with inherited apolipoprotein C-III deficiency

Background

Individuals with triglycerides (TGs) ≥1,000 mg/dL (11.1 mmol/L) are at increased risk of acute pancreatitis. Genetic studies indicate that individuals with apolipoprotein C-3 (APOC3) loss-of-function mutations have low TGs, reduced cardiovascular risk and no observed adverse phenotype. RNA interference (RNAi) with ARO-APOC3 has shown deep and durable knockdown (KD) of APOC3 after single doses in healthy volunteers (HVs, presented at AHA 2019) with good tolerability. We report here initial results using multiple doses of ARO-APOC3 to silence APOC3 expression in HVs.

Methods

ARO-APOC3 was administered subcutaneously to HVs on days 1 and 29 at doses of 10, 25 or 50 mg (n=4 per group). Measured parameters included plasma concentrations of APOC3, LDL-C, TGs, VLDL-C and HDL-C.

Results

All HVs have received both doses and follow-up for most parameters is available through week (wk) 14 (10 wks after second dose) for the 10 and 25 mg doses and through wk 10 for 50 mg. Mean nadir for APOC3 levels occurred at wk 3 for 10 mg (−73%) and remained similar at wk 10 (−66%), at wk 6 for 25 mg (−90%) with no change at wk 10 and at wk 2 for 50 mg (−94%) unchanged at wk 8. TGs fell faster in the 50 mg group (wk 1: 10 mg −41%; 25 mg −47%; 50 mg −72%). By wk 6 the 25 and 50 mg results were similar (−68% and −74%, respectively) and remained similar through wk 14. 10 mg was less active with a nadir of −56% and mean reductions between 42% and 56% post-nadir. VLDL-C values mirrored TGs. LDL-C reductions were more modest and did not manifest a dose response. Mean nadirs (−23–26%) occurred 4–6 wks after the first dose, again with minimal change through 10–14 wks of follow-up. Consistent with genetic studies, HDL-C increased to a maximum at approximately wk 8 (10 mg +42%, 25 mg +48%, 50 mg +84%). ARO-APOC3 was well tolerated without serious or severe adverse events or dropouts related to drug. The most common adverse events were mild injection site AEs and headache.

Conclusions

Genetic deficiency of APOC3 is associated with substantial reductions in TGs, VLDL-C and increases in HDL-C without an adverse phenotype. Using RNAi to selectively suppress APOC3 production mimics these lipid and lipoprotein effects, with a duration of at least 10 weeks following a second dose and with good tolerability over 16 wks using doses ranging from 10 to 50 mg. Investigation of optimal dosing regimen is ongoing, especially with respect to dosing interval. This therapeutic approach has potential for treating patients with chylomicronemia at risk of pancreatitis.

Funding Acknowledgement

Type of funding source: Private company. Main funding source(s): Arrowhead Pharmaceuticals

Performance of High-Sensitivity Cardiac Troponin Assays to Reflect Comorbidity Burden and Improve Mortality Risk Stratification in Older Adults With Diabetes

OBJECTIVE

Incorporation of comorbidity burden to inform diabetes management in older adults remains challenging. High-sensitivity cardiac troponins are objective, quantifiable biomarkers that may improve risk monitoring in older adults. We assessed the associations of elevations in high-sensitivity cardiac troponin I (hs-cTnI) and T (hs-cTnT) with comorbidities and improvements in mortality risk stratification.

RESEARCH DESIGN AND METHODS

We used logistic regression to examine associations of comorbidities with elevations in either troponin (≥85th percentile) among 1,835 participants in the Atherosclerosis Risk in Communities (ARIC) Study with diabetes (ages 67-89 years, 43% male, 31% black) at visit 5 (2011-2013). We used Cox models to compare associations of high cardiac troponins with mortality across comorbidity levels.

RESULTS

Elevations in either troponin (≥9.4 ng/L for hs-cTnI, ≥25 ng/L for hs-cTnT) were associated with prevalent coronary heart disease, heart failure, chronic kidney disease, pulmonary disease, hypoglycemia, hypertension, dementia, and frailty. Over a median follow-up of 6.2 years (418 deaths), both high hs-cTnI and high hs-cTnT further stratified mortality risk beyond comorbidity levels; those with a high hs-cTnI or hs-cTnT and high comorbidity were at highest mortality risk. Even among those with low comorbidity, a high hs-cTnI (hazard ratio 3.0 [95% CI 1.7, 5.4]) or hs-cTnT (hazard ratio 3.3 [95% CI 1.8, 6.2]) was associated with elevated mortality.

CONCLUSIONS

Many comorbidities were reflected by both hs-cTnI and hs-cTnT; elevations in either of the troponins were associated with higher mortality risk beyond comorbidity burden. High-sensitivity cardiac troponins may identify older adults at high mortality risk and be useful in guiding clinical care of older adults with diabetes.

Acute Tubular Injury in a Patient on a Proprotein Convertase Subtilisin/Kexin Type 9 Inhibitor

A 72-year-old man with coronary artery disease, statin intolerance, and chronic kidney disease stage IIIa was initiated on alirocumab, a proprotein convertase subtilisin/kexin type 9 inhibitor, and developed acute kidney injury. A kidney biopsy was performed and suggested acute tubular injury. The serum creatinine returned to baseline after discontinuation of alirocumab. (Level of Difficulty: Intermediate.)

Spotlight from the American Society for Preventive Cardiology on Key Features of the 2018 AHA/ACC/AACVPR/AAPA/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA Guidelines on the Management of Blood Cholesterol

The 2018 AHA/ACC/AACVPR/AAPA/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA Guideline on the Management of Blood Cholesterol retains focus on recommendations for statin treatment in the original four statin-eligible groups [those with atherosclerotic cardiovascular disease (ASCVD), diabetes, low-density lipoprotein cholesterol (LDL-C) ≥ 190 mg/dL, and higher risk primary prevention] without the use of treatment initiation or target LDL-C levels from the earlier 2013 American College of Cardiology/American Heart Association (ACC/AHA) guideline, but has several new features. First, patients with primary prevention are divided into those who are at low (< 5%), borderline (5% to < 7.5%), intermediate (7.5% to < 20%), and high (≥ 20%) risk based on the ASCVD risk estimator. Moreover, the new guideline goes further to consider a wider range of factors [now called "risk enhancers"-premature family history of ASCVD, persistently high LDL-C, chronic kidney disease (CKD), metabolic syndrome, conditions specific to women, inflammatory diseases, and high-risk ethnicities] that can be used to better inform the treatment decision. Moreover, more detailed recommendations on how the results of coronary calcium scanning can be used to inform the treatment decision are provided, including how it may be used to "de-risk" certain patients for delaying or avoiding the use of statin therapy. There are also specific sections for cholesterol management in other patient subgroups including women, children, certain ethnic groups, those with CKD, chronic inflammatory disorders and HIV, as well as discussion on the management of hypertriglyceridemia. Importantly, for persons with known ASCVD, a distinction is made for those who are at "very high risk" based on having had two major ASCVD events or one major event and two or more other high risk conditions, such as diabetes or other major risk factors, or bypass surgery or percutaneous intervention. Finally, the concept of a threshold LDL-C for initiating a non-statin therapy (after considering highest tolerated statin dosage) is provided, with ezetimibe recommended as the key non-statin to be added if the LDL-C still remains ≥ 70 mg/dL for all ASCVD patients, and in those who are at "very high risk", further consideration for using a proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitor. While the new guideline does have greater detail (and arguably, complexity), the refinements provide a strategy for guiding the clinician to target both statin and non-statin therapy to those most likely to derive benefit.