9
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Clinical Implications of Monogenic Versus Polygenic Hypercholesterolemia: Long‐Term Response to Treatment, Coronary Atherosclerosis Burden, and Cardiovascular Events

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Familial hypercholesterolemia (FH) may arise from deleterious monogenic variants in FH‐causing genes as well as from a polygenic cause. We evaluated the relationships between monogenic FH and polygenic hypercholesterolemia in influencing the long‐term response to therapy and the risk of atherosclerosis.

          Methods and Results

          A cohort of 370 patients with clinically diagnosed FH were screened for monogenic mutations and a low‐density lipoprotein‐rising genetic risk score >0.69 to identify polygenic cause. Medical records were reviewed to estimate the response to lipid‐lowering therapies and the occurrence of major atherosclerotic cardiovascular events during a median follow‐up of 31.0 months. A subgroup of patients (n=119) also underwent coronary computed tomographic angiography for the evaluation of coronary artery calcium score and severity of coronary stenosis as compared with 135 controls. Two hundred nine (56.5%) patients with hypercholesterolemia were classified as monogenic (FH/M+), 89 (24.1%) as polygenic, and 72 (19.5%) genetically undefined (FH/M−). The response to lipid‐lowering therapy was poorest in monogenic, whereas it was comparable in patients with polygenic hypercholesterolemia and genetically undetermined. Mean coronary artery calcium score and the prevalence of coronary artery calcium >100 units were significantly higher in FH/M+ as compared with both FH/M− and controls. Finally, after adjustments for confounders, we observed a 5‐fold higher risk of incident major atherosclerotic cardiovascular events in FH/M+ (hazard ratio, 4.8; 95% CI, 1.06–21.36; P adj=0.041).

          Conclusions

          Monogenic cause of FH is associated with lower response to conventional cholesterol‐lowering therapies as well as with increased burden of coronary atherosclerosis and risk of atherosclerotic‐related events. Genetic testing for hypercholesterolemia is helpful in providing important prognostic information.

          Related collections

          Most cited references32

          • Record: found
          • Abstract: not found
          • Article: not found

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

            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            VarSome: the human genomic variant search engine

            Abstract Summary VarSome.com is a search engine, aggregator and impact analysis tool for human genetic variation and a community-driven project aiming at sharing global expertise on human variants. Availability and implementation VarSome is freely available at http://varsome.com. Supplementary information Supplementary data are available at Bioinformatics online.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Quantification of coronary artery calcium using ultrafast computed tomography.

              Ultrafast computed tomography was used to detect and quantify coronary artery calcium levels in 584 subjects (mean age 48 +/- 10 years) with (n = 109) and without (n = 475) clinical coronary artery disease. Fifty patients who underwent fluoroscopy and ultrafast computed tomography were also evaluated. Twenty contiguous 3 mm slices were obtained of the proximal coronary arteries. Total calcium scores were calculated based on the number, areas and peak Hounsfield computed tomographic numbers of the calcific lesions detected. In 88 subjects scored by two readers independently, interobserver agreement was excellent with identical total scores obtained in 70. Ultrafast computed tomography was more sensitive than fluoroscopy, detecting coronary calcium in 90% versus 52% of patients. There were significant differences (p less than 0.0001) in mean total calcium scores for those with versus those without clinical coronary artery disease by decade: 5 versus 132, age 30 to 39 years; 27 versus 291, age 40 to 49 years; 83 versus 462, age 50 to 59 years; and 187 versus 786, age 60 to 69 years. Sensitivity, specificity and predictive values for clinical coronary artery disease were calculated for several total calcium scores in each decade. For age groups 40 to 49 and 50 to 59 years, a total score of 50 resulted in a sensitivity of 71% and 74% and a specificity of 91% and 70%, respectively. For age group 60 to 69 years, a total score of 300 gave a sensitivity of 74% and a specificity of 81%. The negative predictive value of a 0 score was 98%, 94% and 100% for age groups 40 to 49, 50 to 59 and 60 to 69 years, respectively. Ultrafast computed tomography is an excellent tool for detecting and quantifying coronary artery calcium.
                Bookmark

                Author and article information

                Contributors
                laura.derasmo@uniroma1.it
                marcello.arca@uniroma1.it
                Journal
                J Am Heart Assoc
                J Am Heart Assoc
                10.1002/(ISSN)2047-9980
                JAH3
                ahaoa
                Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
                John Wiley and Sons Inc. (Hoboken )
                2047-9980
                23 April 2021
                04 May 2021
                : 10
                : 9 ( doiID: 10.1002/jah3.v10.9 )
                : e018932
                Affiliations
                [ 1 ] Department of Translational and Precision Medicine "Sapienza" University of Rome Rome Italy
                [ 2 ] Department of Experimental Medicine "Sapienza" University of Rome Rome Italy
                [ 3 ] CORESEARCH Center for Outcomes Research and Clinical Epidemiology Pescara Italy
                [ 4 ] Department of Radiological Sciences, Oncology and Pathology "Sapienza" University of Rome Rome Italy
                [ 5 ] Department of Radiological Sciences, Oncology and Pathology "Sapienza" University of Rome, I.C.O.T. Hospital Latina Italy
                Author notes
                [*] [* ] Correspondence to: Laura D'Erasmo, MD, PhD, and Marcello Arca, MD, Translational and Precision Medicine, "Sapienza" University of Rome, Viale del Policlinico 155, Rome, Italy. E‐mail: laura.derasmo@ 123456uniroma1.it ; marcello.arca@ 123456uniroma1.it

                [*]

                L. D’Erasmo and I. Minicocci contributed equally.

                Author information
                https://orcid.org/0000-0002-9174-4667
                https://orcid.org/0000-0002-9801-4501
                https://orcid.org/0000-0001-8359-6599
                https://orcid.org/0000-0002-4224-5458
                https://orcid.org/0000-0003-4051-4922
                https://orcid.org/0000-0003-3617-2720
                https://orcid.org/0000-0002-4253-3193
                https://orcid.org/0000-0003-3108-7527
                https://orcid.org/0000-0003-3786-0883
                Article
                JAH36147
                10.1161/JAHA.120.018932
                8200757
                33890476
                3b180a5a-aca7-4d80-a4cb-35f012eb7a7b
                © 2021 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 13 August 2020
                : 19 February 2021
                Page count
                Figures: 4, Tables: 3, Pages: 22, Words: 9406
                Funding
                Funded by: SISA Foundation
                Funded by: Sanofi , open-funder-registry 10.13039/100004339;
                Categories
                Original Research
                Original Research
                Genetics
                Custom metadata
                2.0
                May 4, 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.0.2 mode:remove_FC converted:19.05.2021

                Cardiovascular Medicine
                atherosclerosis,cardiovascular disease,genetics,hypercholesterolemia,therapy,lipids and cholesterol,metabolism,translational studies

                Comments

                Comment on this article