Effect of clinical decision support for severe hypercholesterolemia on low-density lipoprotein cholesterol levels.

Severe hypercholesterolemia/possible familial hypercholesterolemia (FH) is relatively common but underdiagnosed and undertreated. We investigated whether implementing clinical decision support (CDS) was associated with lower low-density lipoprotein cholesterol (LDL-C) in patients with severe hypercholesterolemia/possible FH (LDL-C ≥ 190 mg/dL). As part of a pre-post implementation study, a CDS alert was deployed in the electronic health record (EHR) in a large health system comprising 3 main sites, 16 hospitals and 53 clinics. Data were collected for 3 months before ('silent mode') and after ('active mode') its implementation. Clinicians were only able to view the alert in the EHR during active mode. We matched individuals 1:1 in both modes, based on age, sex, and baseline lipid lowering therapy (LLT). The primary outcome was difference in LDL-C between the two groups and the secondary outcome was initiation/intensification of LLT after alert trigger. We identified 800 matched patients in each mode (mean ± SD age 56.1 ± 11.8 y vs. 55.9 ± 11.8 y; 36.0% male in both groups; mean ± SD initial LDL-C 211.3 ± 27.4 mg/dL vs. 209.8 ± 23.9 mg/dL; 11.2% on LLT at baseline in each group). LDL-C levels were 6.6 mg/dL lower (95% CI, -10.7 to -2.5; P = 0.002) in active vs. silent mode. The odds of high-intensity statin use (OR, 1.78; 95% CI, 1.41-2.23; P < 0.001) and LLT initiation/intensification (OR, 1.30, 95% CI, 1.06-1.58, P = 0.01) were higher in active vs. silent mode. Implementation of a CDS was associated with lowering of LDL-C levels in patients with severe hypercholesterolemia/possible FH, likely due to higher rates of clinician led LLT initiation/intensification.

The burden of severe hypercholesterolemia and familial hypercholesterolemia in a population-based setting in the US.

Background: Contemporary prevalence, awareness, and control of severe hypercholesterolemia (SH) and familial hypercholesterolemia (FH) and the associated atherosclerotic cardiovascular disease risk in the US are unknown. Method: Using electronic health records, we assessed the burden of SH and FH in Olmsted County, Minnesota, US, between 2004 and 2015. We defined SH as low-density lipoprotein cholesterol (LDL-C) level ≥190 mg/dl without secondary causes of hypercholesterolemia and FH as a Dutch Lipid Clinic Network score ≥6. Controls were age- and sex-matched individuals with LDL-C level <190 mg/dl. Results: The age- and sex-adjusted point and period prevalence (age-recursive method) of SH was 4.44% and 8.95%, respectively; 1 in 21 had FH (∼1:233 adults), and 46.2% had a recorded diagnosis. Guideline recommended targets (LDL-C <100 mg/dl and <70 mg/dl in the primary and secondary prevention settings, respectively) were achieved in 33.1% and 21.2% of SH cases, with less women overall achieving the target than men (18.6% vs. 23.7%, p=0.022). After adjustment for conventional risk factors, the hazard ratio for incident coronary heart disease (CHD) in those with SH was 1.21 (1.05-1.39; p=0.010), in those with SH and a family history of CHD was 2.16 (1.57-2.96; p<0.001) and in those with FH was 4.61 (2.66-7.97; p<0.001). The association of SH with CHD was modified by age (p-interaction = 0.015), such that the risk was greater at younger ages. Conclusions: SH was prevalent and an independent risk factor for incident CHD. Awareness and control were low, highlighting a treatment gap (more prominent in women) that needs to be addressed.

Coronary Heart Disease Risk Associated with Primary Isolated Hypertriglyceridemia; a Population-Based Study.

Background Hypertriglyceridemia is associated with increased risk of coronary heart disease but the association is often attributed to concomitant metabolic abnormalities. We investigated the epidemiology of primary isolated hypertriglyceridemia (PIH) and associated cardiovascular risk in a population-based setting. Methods and Results We identified adults with at least one triglyceride level ≥500 mg/dL between 1998 and 2015 in Olmsted County, Minnesota. We also identified age- and sex-matched controls with triglyceride levels <150 mg/dL. There were 3329 individuals with elevated triglyceride levels; after excluding those with concomitant hypercholesterolemia, a secondary cause of high triglycerides, age <18 years or an incomplete record, 517 patients (49.4±14.0 years, 72.0% men) had PIH (triglyceride 627.6±183.6 mg/dL). The age- and sex-adjusted prevalence of PIH in adults was 0.80% (0.72-0.87); the diagnosis was recorded in 60%, 46% were on a lipid-lowering medication for primary prevention and a triglyceride level <150 mg/dL was achieved in 24.1%. The association of PIH with coronary heart disease was attenuated but remained significant after adjustment for demographic, socioeconomic, and conventional cardiovascular risk factors (hazard ratio [HR], 1.53; 95% CI, 1.06-2.20; P= 0.022). There was no statistically significant association between PIH and cerebrovascular disease (HR, 1.06; 95% CI, 0.65-1.73, P= 0.813), peripheral artery disease (HR, 1.27; 95% CI, 0.43-3.75; P= 0.668), or the composite end point of all 3 (HR, 1.28; 95% CI, 0.92-1.80; P=0.148) in adjusted models. Conclusions PIH was associated with incident coronary heart disease events (although there was attenuation after adjustment for conventional risk factors), supporting a causal role for triglycerides in coronary heart disease. The condition is relatively prevalent but awareness and control are low.

Genetic basis of hypercholesterolemia in adults.

We investigated monogenic and polygenic causes of hypercholesterolemia in a population-based cohort, excluding secondary hypercholesterolemia, and using an established framework to identify pathogenic variants. We studied 1682 individuals (50.2 ± 8.6 years, 41.3% males) from southeast Minnesota with primary hypercholesterolemia (low-density lipoprotein cholesterol (LDL-C) ≥155 mg/dl in the absence of identifiable secondary causes). Familial hypercholesterolemia (FH) phenotype was defined as a Dutch Lipid Clinic Network (DLCN) score ≥6. Participants underwent sequencing of LDLR, APOB, and PCSK9, and genotyping of 12 LDL-C-associated single-nucleotide variants to construct a polygenic score (PGS) for LDL-C. The presence of a pathogenic/likely pathogenic variant was considered monogenic etiology and a PGS ≥90th percentile was considered polygenic etiology. The mean LDL-C level was 187.3 ± 32.3 mg/dl and phenotypic FH was present in 8.4% of the cohort. An identifiable genetic etiology was present in 17.1% individuals (monogenic in 1.5% and polygenic in 15.6%). Phenotypic and genetic FH showed poor overlap. Only 26% of those who met the clinical criteria of FH had an identifiable genetic etiology and of those with an identifiable genetic etiology only 12.9% met clinical criteria for FH. Genetic factors explained 7.4% of the variance in LDL-C. In conclusion, in adults with primary hypercholesterolemia, 17.1% had an identifiable genetic etiology and the overlap between phenotypic and genetic FH was modest.

Penetrance and outcomes at 1-year following return of actionable variants identified by genome sequencing.

PURPOSE: We estimated penetrance of actionable genetic variants and assessed near-term outcomes following return of results (RoR). METHODS: Participants (n = 2,535) with hypercholesterolemia and/or colon polyps underwent targeted sequencing of 68 genes and 14 single-nucleotide variants. Penetrance was estimated based on presence of relevant traits in the electronic health record (EHR). Outcomes occurring within 1-year of RoR were ascertained by EHR review. Analyses were stratified by tier 1 and non-tier 1 disorders. RESULTS: Actionable findings were present in 122 individuals and results were disclosed to 98. The average penetrance for tier 1 disorder variants (67%; n = 58 individuals) was higher than in non-tier 1 variants (46.5%; n = 58 individuals). After excluding 45 individuals (decedents, nonresponders, known genetic diagnoses, mosaicism), ≥1 outcomes were noted in 83% of 77 participants following RoR; 78% had a process outcome (referral to a specialist, new testing, surveillance initiated); 68% had an intermediate outcome (new test finding or diagnosis); 19% had a clinical outcome (therapy modified, risk reduction surgery). Risk reduction surgery occurred more often in participants with tier 1 than those with non-tier 1 variants. CONCLUSION: Relevant phenotypic traits were observed in 57% whereas a clinical outcome occurred in 19% of participants with actionable genomic variants in the year following RoR.

Relation of Higher Resting Heart Rate to Risk of Cardiovascular Versus Noncardiovascular Death.

Higher resting heart rate (RHR) is associated with increased risk of all-cause and cardiovascular mortality, with some reports showing the magnitude of association with all-cause mortality being stronger than that with cardiovascular mortality. This suggests that RHR association with mortality may not be limited to cardiovascular death. We compared the association between RHR with cardiovascular and noncardiovascular mortality in 6,743 participants (mean age 58.7 years, 52% women, 48% non-Hispanic whites) from the Third National Health and Nutrition Examination Survey (NHANES-III) after excluding those on antiarrhythmic drugs or with missing data. RHR data were obtained from standard 12-lead electrocardiogram recorded on the NHANES participants during a physical examination. National Death Index was used to identify the date and cause of death. Multivariable Cox proportional hazards analysis was used to calculate the hazard ratios (HRs) and 95% CIs for cardiovascular mortality and noncardiovascular mortality, separately, associated with 10 beats/min increase in RHR. During a median follow-up of 13.9 years, 906 cardiovascular deaths and 1,306 noncardiovascular deaths occurred. In models adjusted for age, gender, race, hypertension, diabetes, obesity, dyslipidemia, previous cardiovascular disease, smoking, cancer, chronic obstructive airway disease, thyroid disease, and serum creatinine, higher RHR was associated with increased risk of both cardiovascular mortality and noncardiovascular mortality with a relatively similar magnitude of risk (HR 1.19, 95% CI 1.12 to 1.26 and HR 1.23, 95% CI 1.17 to 1.29, respectively). In conclusion, higher RHR is associated with both cardiovascular mortality and noncardiovascular mortality suggesting that RHR is probably a marker of overall well-being rather than a marker of cardiovascular health.