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      Prevalence, treatment, and control of severe hyperlipidemia

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          Abstract

          Objective

          To identify the prevalence, treatment, and low-density lipoprotein cholesterol (LDL-C) control of individuals with LDL-C ≥190 ​mg/dL in contemporary clinical practice.

          Methods

          We included adults (age ≥18 years) with LDL-C ≥190 ​mg/dL, at least one LDL-C level drawn from 255 health systems participating in Cerner HealthFacts database (2000–2017, n ​= ​4,623,851), and a detailed examination within Duke University Health System (DUHS, 2015–2017, n ​= ​267,710). Factors associated with LDL-C control were evaluated using multivariable logistic regression modeling.

          Results

          The cross-sectional prevalence of LDL-C ≥190 ​mg/dL was 3.0% in Cerner (n ​= ​139,539/4,623,851) and 2.9% at DUHS (n ​= ​7728/267,710); among these, rates of repeat LDL-C measurement within 13 months were low: 27.9% (n ​= ​38,960) in Cerner, 54.5% (n ​= ​4211) at DUHS. Of patients with follow-up LDL-C levels, 23.6% in Cerner had a 50% of greater reduction in LDL-C, 18.3% achieved an LDL-C <100 ​mg/dL and 2.7% ​< ​70 ​mg/dL. At DUHS, 28.4% had a 50% or greater reduction in LDL-C, 28.4% achieved an LDL-C ≤100 ​mg/dL and 4.4% achieved <70 ​mg/dL. Within DUHS, 71.6% with LDL-C ≥190 ​mg/dL were on any statin during follow-up, but only 28.5% were on a high-intensity statin. In multivariable modeling, seeing a cardiologist (Cerner odds ratio [OR] 1.56, confidence interval [CI] 1.33–1.83; DUHS OR 1.89, 95% CI 1.18–3.01) and having diabetes (Cerner OR 1.34 CI 1.23–1.46; DUHS OR 2.07, CI 1.62–2.65) increased odds of LDL-C control, defined as a ≥50% reduction in LDL-C (at Cerner) or initiation of high intensity statin (at DUHS). Prior atherosclerotic cardiovascular disease (OR 1.19, CI 1.07–1.33), hypertension (OR 1.10, CI 1.03–1.18), African American race (OR 0.79, CI 0.71–0.89), and government (vs. private) insurance (OR 0.90, CI 0.83–0.98) were associated with LDL-C control at Cerner. Female sex was associated with lower odds of appropriate therapy (OR 0.69, CI 0.59–0.81) at DUHS.

          Conclusions

          Approximately 3% of United States adults have LDL-C ≥190 ​mg/dL. Among those with very high LDL-C, rates of repeat measurement within one year were low; of those retested, only about one-fourth met guideline-recommended LDL-C treatment goals.

          Highlights

          • Large numbers of U.S. adults with extremely high LDL-C.

            • o

              Can be identified using available EHR data

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              Often have no follow-up lipid measurement

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              Are not treated with recommended lipid-lowering therapies

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              Do not achieve guideline-recommended LDL-C reduction goals

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          Most cited references39

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          Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data.

          Implementation of the International Statistical Classification of Disease and Related Health Problems, 10th Revision (ICD-10) coding system presents challenges for using administrative data. Recognizing this, we conducted a multistep process to develop ICD-10 coding algorithms to define Charlson and Elixhauser comorbidities in administrative data and assess the performance of the resulting algorithms. ICD-10 coding algorithms were developed by "translation" of the ICD-9-CM codes constituting Deyo's (for Charlson comorbidities) and Elixhauser's coding algorithms and by physicians' assessment of the face-validity of selected ICD-10 codes. The process of carefully developing ICD-10 algorithms also produced modified and enhanced ICD-9-CM coding algorithms for the Charlson and Elixhauser comorbidities. We then used data on in-patients aged 18 years and older in ICD-9-CM and ICD-10 administrative hospital discharge data from a Canadian health region to assess the comorbidity frequencies and mortality prediction achieved by the original ICD-9-CM algorithms, the enhanced ICD-9-CM algorithms, and the new ICD-10 coding algorithms. Among 56,585 patients in the ICD-9-CM data and 58,805 patients in the ICD-10 data, frequencies of the 17 Charlson comorbidities and the 30 Elixhauser comorbidities remained generally similar across algorithms. The new ICD-10 and enhanced ICD-9-CM coding algorithms either matched or outperformed the original Deyo and Elixhauser ICD-9-CM coding algorithms in predicting in-hospital mortality. The C-statistic was 0.842 for Deyo's ICD-9-CM coding algorithm, 0.860 for the ICD-10 coding algorithm, and 0.859 for the enhanced ICD-9-CM coding algorithm, 0.868 for the original Elixhauser ICD-9-CM coding algorithm, 0.870 for the ICD-10 coding algorithm and 0.878 for the enhanced ICD-9-CM coding algorithm. These newly developed ICD-10 and ICD-9-CM comorbidity coding algorithms produce similar estimates of comorbidity prevalence in administrative data, and may outperform existing ICD-9-CM coding algorithms.
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            Evolocumab and Clinical Outcomes in Patients with Cardiovascular Disease

            Evolocumab is a monoclonal antibody that inhibits proprotein convertase subtilisin-kexin type 9 (PCSK9) and lowers low-density lipoprotein (LDL) cholesterol levels by approximately 60%. Whether it prevents cardiovascular events is uncertain.
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              Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): case-control study.

              Although more than 80% of the global burden of cardiovascular disease occurs in low-income and middle-income countries, knowledge of the importance of risk factors is largely derived from developed countries. Therefore, the effect of such factors on risk of coronary heart disease in most regions of the world is unknown. We established a standardised case-control study of acute myocardial infarction in 52 countries, representing every inhabited continent. 15152 cases and 14820 controls were enrolled. The relation of smoking, history of hypertension or diabetes, waist/hip ratio, dietary patterns, physical activity, consumption of alcohol, blood apolipoproteins (Apo), and psychosocial factors to myocardial infarction are reported here. Odds ratios and their 99% CIs for the association of risk factors to myocardial infarction and their population attributable risks (PAR) were calculated. Smoking (odds ratio 2.87 for current vs never, PAR 35.7% for current and former vs never), raised ApoB/ApoA1 ratio (3.25 for top vs lowest quintile, PAR 49.2% for top four quintiles vs lowest quintile), history of hypertension (1.91, PAR 17.9%), diabetes (2.37, PAR 9.9%), abdominal obesity (1.12 for top vs lowest tertile and 1.62 for middle vs lowest tertile, PAR 20.1% for top two tertiles vs lowest tertile), psychosocial factors (2.67, PAR 32.5%), daily consumption of fruits and vegetables (0.70, PAR 13.7% for lack of daily consumption), regular alcohol consumption (0.91, PAR 6.7%), and regular physical activity (0.86, PAR 12.2%), were all significantly related to acute myocardial infarction (p<0.0001 for all risk factors and p=0.03 for alcohol). These associations were noted in men and women, old and young, and in all regions of the world. Collectively, these nine risk factors accounted for 90% of the PAR in men and 94% in women. Abnormal lipids, smoking, hypertension, diabetes, abdominal obesity, psychosocial factors, consumption of fruits, vegetables, and alcohol, and regular physical activity account for most of the risk of myocardial infarction worldwide in both sexes and at all ages in all regions. This finding suggests that approaches to prevention can be based on similar principles worldwide and have the potential to prevent most premature cases of myocardial infarction.

                Author and article information

                Contributors
                Journal
                Am J Prev Cardiol
                Am J Prev Cardiol
                American Journal of Preventive Cardiology
                Elsevier
                2666-6677
                13 August 2020
                September 2020
                13 August 2020
                : 3
                : 100079
                Affiliations
                [a ]Duke University School of Medicine, Durham, NC, USA
                [b ]Duke Clinical Research Institute, Durham, NC, USA
                Author notes
                []Corresponding author. Duke Clinical Research Institute, 200 Morris St, Durham, NC, 27701, USA. ann.navar@ 123456duke.edu
                [1]

                Dr. Gold and Dr. Nanna contributed equally to this manuscript.

                Article
                S2666-6677(20)30079-9 100079
                10.1016/j.ajpc.2020.100079
                8315339
                34327462
                fdfa4076-c46c-4f91-b08c-8850f49b4369
                © 2020 The Author(s)

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 11 May 2020
                : 13 July 2020
                : 31 July 2020
                Categories
                Original Research

                ldl-c,hyperlipidemia,statin therapy
                ldl-c, hyperlipidemia, statin therapy

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