623 results on '"Kolovou, G"'
Search Results
2. Evolocumab use in Greece is associated with early and sustainable reductions in low-density cholesterol (LDL-C) and high persistence to therapy: Results from the Greek cohort analysis of the observational HEYMANS study
- Author
-
Vlachopoulos, C., primary, Massia, D., additional, Kochiadakis, G., additional, Kolovou, G., additional, Patsilinakos, S., additional, Bridges, I., additional, Sibartie, M., additional, Dhalwani, N.N., additional, Liberopoulos, E., additional, and Ray, K.K., additional
- Published
- 2023
- Full Text
- View/download PDF
3. Cardiovascular magnetic resonance imaging: clinical implications in the evaluation of connective tissue diseases
- Author
-
Mavrogeni S, Markousis-Mavrogenis G, Koutsogeorgopoulou L, and Kolovou G
- Subjects
connective tissue diseases ,cardiovascular magnetic resonance imaging ,Pathology ,RB1-214 ,Therapeutics. Pharmacology ,RM1-950 - Abstract
Sophie Mavrogeni,1 George Markousis-Mavrogenis,1 Loukia Koutsogeorgopoulou,2 Genovefa Kolovou1 1Onassis Cardiac Surgery Center, Athens, Greece; 2Department of Pathophysiology, Laikon Hospital, Athens, Greece Abstract: Cardiovascular magnetic resonance imaging is a recently developed noninvasive, nonradiating, operator-independent technique that has been successfully used for the evaluation of congenital heart disease, valvular and pericardial diseases, iron overload, cardiomyopathies, great and coronary vessel diseases, cardiac inflammation, stress–rest myocardial perfusion, and fibrosis. Rheumatoid arthritis and other spondyloarthropathies, systemic lupus erythematosus, inflammatory myopathies, mixed connective tissue diseases (CTDs), systemic sclerosis, vasculitis, and sarcoidosis are among CTDs with serious cardiovascular involvement; this is due to multiple causative factors such as myopericarditis, micro/macrovascular disease, coronary artery disease, myocardial fibrosis, pulmonary hypertension, and finally heart failure. The complicated pathophysiology and the high cardiovascular morbidity and mortality of CTDs demand a versatile, noninvasive, nonradiative diagnostic tool for early cardiovascular diagnosis, risk stratification, and treatment follow-up. Cardiovascular magnetic resonance imaging can detect early silent cardiovascular lesions, assess disease acuteness, and reliably evaluate the effect of both cardiac and rheumatic medication in the cardiovascular system, due to its capability to perform tissue characterization and its high spatial resolution. However, until now, high cost; lack of interaction between cardiologists, radiologists, and rheumatologists; lack of availability; and lack of experts in the field have limited its wider adoption in the clinical practice. Keywords: connective tissue diseases, cardiovascular magnetic resonance imaging
- Published
- 2017
4. Metabolic syndrome and atherosclerotic cardiovascular disease in non-diabetic adult patients with familial hypercholesterolemia: Data from the Hellas-FH registry
- Author
-
Rizos, C., primary, Liamis, G., additional, Skoumas, I., additional, Garoufi, A., additional, Rallidis, L., additional, Kolovou, G., additional, Tziomalos, K., additional, Skalidis, E., additional, Sfikas, G., additional, Kotsis, V., additional, Doumas, M., additional, Anagnostis, P., additional, Lambadiari, V., additional, Bilianou, E., additional, Adamidis, P.S., additional, Koutagiar, I., additional, Attilakos, A., additional, Kiouri, E., additional, Kolovou, V., additional, Zacharis, E., additional, Koumaras, C., additional, Antza, C., additional, Boutari, C., additional, and Liberopoulos, E., additional
- Published
- 2023
- Full Text
- View/download PDF
5. Triglycerides and atherosclerotic cardiovascular disease in adult patients with familial hypercholesterolemia: Data from the Hellas-FH registry
- Author
-
Rizos, C., primary, Liamis, G., additional, Skoumas, I., additional, Garoufi, A., additional, Rallidis, L., additional, Kolovou, G., additional, Tziomalos, K., additional, Skalidis, E., additional, Sfikas, G., additional, Kotsis, V., additional, Doumas, M., additional, Anagnostis, P., additional, Lambadiari, V., additional, Bilianou, E., additional, Petkou, E., additional, Koutagiar, I., additional, Attilakos, A., additional, Kiouri, E., additional, Kolovou, V., additional, Zacharis, E., additional, Koumaras, C., additional, Antza, C., additional, Boutari, C., additional, and Liberopoulos, E., additional
- Published
- 2023
- Full Text
- View/download PDF
6. Overweight/obesity and prevalent atherosclerotic cardiovascular disease in patients with heterozygous familial hypercholesterolemia: An analysis from HELLAS-FH registry
- Author
-
Barkas, F., primary, Rizos, C., additional, Liamis, G., additional, Skoumas, I., additional, Garoufi, A., additional, Rallidis, L., additional, Kolovou, G., additional, Tziomalos, K., additional, Skalidis, E., additional, Sfikas, G., additional, Kotsis, V., additional, Doumas, M., additional, Anagnostis, P., additional, Lambadiari, V., additional, Anastasiou, G., additional, Koutagiar, I., additional, Attilakos, A., additional, Kiouri, E., additional, Kolovou, V., additional, Koutsogianni, A.-D., additional, Zacharis, E., additional, Koumaras, C., additional, Antza, C., additional, Boutari, C., additional, and Liberopoulos, E., additional
- Published
- 2023
- Full Text
- View/download PDF
7. One year follow-up of cardiovascular profile and therapeutic management of children and adolescents with familial hyphercholesterolemia: Preliminary data from the Hellas-FH registry
- Author
-
Rizos, C., primary, Liamis, G., additional, Garoufi, A., additional, Skoumas, I., additional, Rallidis, L., additional, Sfikas, G., additional, Kolovou, G., additional, Tziomalos, K., additional, Skalidis, E., additional, Anagnostis, P., additional, Kotsis, V., additional, Lambadiari, V., additional, Koutsogianni, A.-D., additional, Attilakos, A., additional, Koutagiar, I., additional, Kiouri, E., additional, Koumaras, C., additional, Kolovou, V., additional, Zacharis, E., additional, Antza, C., additional, and Liberopoulos, E., additional
- Published
- 2023
- Full Text
- View/download PDF
8. Lifestyle may modify the glucose-raising effect of genetic loci. A study in the Greek population
- Author
-
Marouli, E., Kanoni, S., Dimitriou, M., Kolovou, G., Deloukas, P., and Dedoussis, G.
- Published
- 2016
- Full Text
- View/download PDF
9. Robust Bioinformatics Approaches Result in the First Polygenic Risk Score for BMI in Greek Adults
- Author
-
Kafyra, M. Kalafati, I.P. Dimitriou, M. Grigoriou, E. Kokkinos, A. Rallidis, L. Kolovou, G. Trovas, G. Marouli, E. Deloukas, P. Moulos, P. Dedoussis, G.V. and Kafyra, M. Kalafati, I.P. Dimitriou, M. Grigoriou, E. Kokkinos, A. Rallidis, L. Kolovou, G. Trovas, G. Marouli, E. Deloukas, P. Moulos, P. Dedoussis, G.V.
- Abstract
Quantifying the role of genetics via construction of polygenic risk scores (PRSs) is deemed a resourceful tool to enable and promote effective obesity prevention strategies. The present paper proposes a novel methodology for PRS extraction and presents the first PRS for body mass index (BMI) in a Greek population. A novel pipeline for PRS derivation was used to analyze genetic data from a unified database of three cohorts of Greek adults. The pipeline spans various steps of the process, from iterative dataset splitting to training and test partitions, calculation of summary statistics and PRS extraction, up to PRS aggregation and stabilization, achieving higher evaluation metrics. Using data from 2185 participants, implementation of the pipeline enabled consecutive repetitions in splitting training and testing samples and resulted in a 343-single nucleotide polymorphism PRS yielding an R2 = 0.3241 (beta = 1.011, p-value = 4 × 10−193) for BMI. PRS-included variants displayed a variety of associations with known traits (i.e., blood cell count, gut microbiome, lifestyle parameters). The proposed methodology led to creation of the first-ever PRS for BMI in Greek adults and aims at promoting a facilitating approach to reliable PRS development and integration in healthcare practice. © 2023 by the authors.
- Published
- 2023
10. Prevalence of Diabetes and Its Association with Atherosclerotic Cardiovascular Disease Risk in Patients with Familial Hypercholesterolemia: An Analysis from the Hellenic Familial Hypercholesterolemia Registry (HELLAS-FH)
- Author
-
Boutari, C. Rizos, C.V. Doumas, M. Liamis, G. Skoumas, I. Rallidis, L. Garoufi, A. Kolovou, G. Tziomalos, K. Skalidis, E. Kotsis, V. Sfikas, G. Lambadiari, V. Anagnostis, P. Bilianou, E. Anastasiou, G. Koutagiar, I. Kiouri, E. Attilakos, A. Kolovou, V. Zacharis, E. Antza, C. Liberopoulos, E. and Boutari, C. Rizos, C.V. Doumas, M. Liamis, G. Skoumas, I. Rallidis, L. Garoufi, A. Kolovou, G. Tziomalos, K. Skalidis, E. Kotsis, V. Sfikas, G. Lambadiari, V. Anagnostis, P. Bilianou, E. Anastasiou, G. Koutagiar, I. Kiouri, E. Attilakos, A. Kolovou, V. Zacharis, E. Antza, C. Liberopoulos, E.
- Abstract
Familial hypercholesterolemia (FH) and type 2 diabetes mellitus (T2DM) are both associated with a high risk of atherosclerotic cardiovascular disease (ASCVD). Little is known about the prevalence of T2DM and its association with ASCVD risk in FH patients. This was a cross-sectional analysis from the Hellenic Familial Hypercholesterolemia Registry (HELLAS-FH) including adults with FH (n = 1719, mean age 51.3 ± 14.6 years). Of FH patients, 7.2% had a diagnosis of T2DM. The prevalence of ASCVD, coronary artery disease (CAD), and stroke was higher among subjects with T2DM compared with those without (55.3% vs. 23.3%, 48.8% vs. 20.7%, 8.3% vs. 2.7%, respectively, p < 0.001). When adjusted for age, systolic blood pressure, smoking, body mass index, hypertension, waist circumference, triglyceride levels, high-density lipoprotein cholesterol levels, and gender, T2DM was significantly associated with prevalent ASCVD [OR 2.0 (95% CI 1.2–3.3), p = 0.004]. FH patients with T2DM were more likely to have undergone coronary revascularization than those without (14.2% vs. 4.5% for coronary artery bypass graft, and 23.9% vs. 11.5% for percutaneous coronary intervention, p < 0.001). T2DM is associated with an increased risk for prevalent ASCVD in subjects with FH. This may have implications for risk stratification and treatment intensity in these patients. © 2022 by the authors.
- Published
- 2023
11. Lipidomics in vascular health: current perspectives
- Author
-
Kolovou G, Kolovou V, and Mavrogeni S
- Subjects
Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
Genovefa Kolovou,1 Vana Kolovou,1,2 Sophie Mavrogeni1 1Cardiology Department, 2Molecular Immunology Laboratory, Onassis Cardiac Surgery Center, Athens, Greece Abstract: Identifying the mechanisms that convert a healthy vascular wall to an atherosclerotic wall is of major importance since the consequences may lead to a shortened lifespan. Classical risk factors (age, smoking, obesity, diabetes mellitus, hypertension, and dyslipidemia) may result in the progression of atherosclerotic lesions by processes including inflammation and lipid accumulation. Thus, the evaluation of blood lipids and the full lipid complement produced by cells, organisms, or tissues (lipidomics) is an issue of importance. In this review, we shall describe the recent progress in vascular health research using lipidomic advances. We will begin with an overview of vascular wall biology and lipids, followed by a short analysis of lipidomics. Finally, we shall focus on the clinical implications of lipidomics and studies that have examined lipidomic approaches and vascular health. Keywords: lipidomics, lipids, vascular, atherosclerosis, mass spectrometry
- Published
- 2015
12. Sudden cardiac death and diabetes mellitus
- Author
-
Vasiliadis, I., Kolovou, G., Mavrogeni, S., Nair, D.R., and Mikhailidis, D.P.
- Published
- 2014
- Full Text
- View/download PDF
13. One year follow-up of patients with familial hypercholesterolemia: Preliminary data from the HELLAS-FH registry
- Author
-
Rizos, C., Liamis, G., Garoufi, A., Skoumas, I., Rallidis, L., Kolovou, G., Tziomalos, K., Skalidis, E., Kotsis, V., Lambadiari, V., Anagnostis, P.G., Dima, I., Kiouri, E., Kolovou, V., Polychronopoulos, G., Zacharis, E., Antza, C., and Liberopoulos, E.
- Published
- 2022
- Full Text
- View/download PDF
14. Association of TG/HDL-C and TYG indices with the prevalence of atherosclerotic cardiovascular disease in adult patients with familial hypercholesterolemia
- Author
-
Rizos, C., Liamis, G., Skoumas, I., Garoufi, A., Rallidis, L., Tziomalos, K., Kolovou, G., Skalidis, E., Kotsis, V., Doumas, M., Lambadiari, V., Anagnostis, P.G., Sfikas, G., Dima, I., Kiouri, E., Polychronopoulos, G., Kolovou, V., Zacharis, E., Antza, C., Koumaras, C., and Liberopoulos, E.
- Published
- 2022
- Full Text
- View/download PDF
15. Association between lipoprotein(a) concentrations and atherosclerotic cardiovascular disease risk in patients with familial hypercholesterolemia: An analysis from the hellas-fh
- Author
-
Anagnostis, P.G., Rizos, C., Skoumas, I., Rallidis, L., Tziomalos, K., Skalidis, E., Kotsis, V., Doumas, M., Kolovou, G., Sfikas, G., Garoufi, A., Lambadiari, V., Dima, I., Kiouri, E., Agapakis, D., Zacharis, E., Antza, C., Kolovou, V., Koumaras, C., Bantouvakis, G., Liamis, G., and Liberopoulos, E.
- Published
- 2022
- Full Text
- View/download PDF
16. Cardiovascular Magnetic Resonance Imaging Patterns in Rare Cardiovascular Diseases
- Author
-
Markousis-Mavrogenis, G. Giannakopoulou, A. Belegrinos, A. Pons, M.R. Bonou, M. Vartela, V. Papavasiliou, A. Christidi, A. Kourtidou, S. Kolovou, G. Bacopoulou, F. Chrousos, G.P. Mavrogeni, S.I. and Markousis-Mavrogenis, G. Giannakopoulou, A. Belegrinos, A. Pons, M.R. Bonou, M. Vartela, V. Papavasiliou, A. Christidi, A. Kourtidou, S. Kolovou, G. Bacopoulou, F. Chrousos, G.P. Mavrogeni, S.I.
- Abstract
Rare cardiovascular diseases (RCDs) have low incidence but major clinical impact. RCDs’ classification includes Class I—systemic circulation, Class II—pulmonary circulation, Class III—cardiomyopathies, Class IV—congenital cardiovascular diseases (CVD), Class V—cardiac tumors and CVD in malignancy, Class VI—cardiac arrhythmogenic disorders, Class VII—CVD in pregnancy, Class VIII—unclassified rare CVD. Cardiovascular Magnetic Resonance (CMR) is useful in the diagnosis/management of RCDs, as it performs angiography, function, perfusion, and tissue characterization in the same examination. Edema expressed as a high signal in STIRT2 or increased T2 mapping is common in acute/active inflammatory states. Diffuse subendocardial fibrosis, expressed as diffuse late gadolinium enhancement (LGE), is characteristic of microvascular disease as in systemic sclerosis, small vessel vasculitis, cardiac amyloidosis, and metabolic disorders. Replacement fibrosis, expressed as LGE, in the inferolateral wall of the left ventricle (LV) is typical of neuromuscular disorders. Patchy LGE with concurrent edema is typical of myocarditis, irrespective of the cause. Cardiac hypertrophy is characteristic in hypertrophic cardiomyopathy (HCM), cardiac amyloidosis (CA) and Anderson–Fabry Disease (AFD), but LGE is located in the IVS, subendocardium and lateral wall in HCM, CA and AFD, respectively. Native T1 mapping is increased in HCM and CA and reduced in AFD. Magnetic resonance angiography provides information on aortopathies, such as Marfan, Turner syndrome and Takayasu vasculitis. LGE in the right ventricle is the typical finding of ARVC, but it may involve LV, leading to the diagnosis of arrhythmogenic cardiomyopathy. Tissue changes in RCDs may be detected only through parametric imaging indices. © 2022 by the authors.
- Published
- 2022
17. Association between lipoprotein(a) concentrations and atherosclerotic cardiovascular disease risk in patients with familial hypercholesterolemia: an analysis from the HELLAS-FH
- Author
-
Anagnostis, P. Rizos, C.V. Skoumas, I. Rallidis, L. Tziomalos, K. Skalidis, E. Kotsis, V. Doumas, M. Kolovou, G. Sfikas, G. Garoufi, A. Lambadiari, V. Dima, I. Kiouri, E. Agapakis, D. Zacharis, E. Antza, C. Kolovou, V. Koumaras, C. Bantouvakis, G. Liamis, G. Liberopoulos, E.N. and Anagnostis, P. Rizos, C.V. Skoumas, I. Rallidis, L. Tziomalos, K. Skalidis, E. Kotsis, V. Doumas, M. Kolovou, G. Sfikas, G. Garoufi, A. Lambadiari, V. Dima, I. Kiouri, E. Agapakis, D. Zacharis, E. Antza, C. Kolovou, V. Koumaras, C. Bantouvakis, G. Liamis, G. Liberopoulos, E.N.
- Abstract
Aims:: Lipoprotein(a) [Lp(a)] is an independent risk factor for atherosclerotic cardiovascular disease (ASCVD) in the general population. However, such a role in patients with familial hypercholesterolemia (FH) is less documented. The purpose of this study was to evaluate the association between Lp(a) concentrations and ASCVD prevalence in adult patients with FH. Methods:: This was a cross-sectional study from the Hellenic Familial Hypercholesterolemia Registry (HELLAS-FH). Patients were categorized into 3 tertiles according to Lp(a) levels. Results:: A total of 541 adult patients (249 males) with possible/probable/definite FH heterozygous FH (HeFH) were included (mean age 48.5 ± 15.0 years at registration, 40.8 ± 15.9 years at diagnosis). Median (interquartile range) Lp(a) concentrations in the 1st, 2nd and 3rd Lp(a) tertile were 6.4 (3.0–9.7), 22.4 (16.0–29.1) and 77.0 (55.0–102.0) mg/dL, respectively. There was no difference in lipid profile across Lp(a) tertiles. The overall prevalence of ASCVD was 9.4% in the first, 16.1% in the second and 20.6% in the third tertile (p = 0.012 among tertiles). This was also the case for premature ASCVD, with prevalence rates of 8.5, 13.4 and 19.8%, respectively (p = 0.010 among tertiles). A trend for increasing prevalence of coronary artery disease (8.3, 12.2 and 16.1%, respectively; p = 0.076 among tertiles) was also observed. No difference in the prevalence of stroke and peripheral artery disease was found across tertiles. Conclusions:: Elevated Lp(a) concentrations are significantly associated with increased prevalence of ASCVD in patients with possible/probable/definite HeFH. © 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
- Published
- 2022
18. A Case Series Assessing the Effects of Lomitapide on Carotid Intima-Media Thickness in Adult Patients with Homozygous Familial Hypercholesterolaemia in a Real-World Setting
- Author
-
Medicina i Cirurgia, Universitat Rovira i Virgili, Blom DJ; Gaudet D; Hegele RA; Patel DS; Cegla J; Kolovou G; Marin LM, Medicina i Cirurgia, Universitat Rovira i Virgili, and Blom DJ; Gaudet D; Hegele RA; Patel DS; Cegla J; Kolovou G; Marin LM
- Abstract
Introduction: Homozygous familial hypercholesterolaemia (HoFH) is characterised by extremely elevated levels of low-density lipoprotein cholesterol (LDL-C) and results from multiple mutations in genes affecting the LDL receptor pathway. Patients are at risk of premature atherosclerotic cardiovascular disease (ASCVD) and premature death. Lomitapide is a microsomal triglyceride transfer protein inhibitor developed to treat HoFH, but cardiovascular outcome data are lacking. Methods: We evaluated detailed data from five HoFH patients and one patient with heterozygous FH (HeFH) and a very severe phenotype. We also analysed confirmatory data from a further 8 HoFH cases. In total, we analysed data from patients in seven global centres in six countries who were all treated with lomitapide with long-term follow-up. Carotid intima-media thickness (CIMT) imaging was recorded on an ad hoc basis to monitor ASCVD in HoFH. Results: Lomitapide resulted in marked decreases in LDL-C of 56.8–93.9% [77.7–93.9% in the 6 initial cases (mean nadir 64.8 ± 30.1 mg/dL); 56.8–86.0% in the 8 confirmatory cases (mean nadir 131.4 ± 38.2 mg/dL)]. CIMT regressed in 50% of cases (mean follow-up 5.0 ± 3.1 years in initial six cases, and 4.4 ± 1.4 years in confirmatory cases). In the remaining patients, CIMT showed little further change. In patients where assessments of plaque area were available, regression or stabilisation in CIMT was accompanied by clinically significant regression of plaque area. Conclusions: Lomitapide reduces LDL-C levels in patients with HoFH and severe LDL-C phenotypes, and results in stabilisation and/or regression of CIMT, which is an established marker of ASCVD risk. Additional data are needed to determine if this confers a survival benefit in these very high-risk patients.
- Published
- 2022
19. No impact of SLCO1B1 521T>C, 388A>G and 411G>A polymorphisms on response to statin therapy in the Greek population
- Author
-
Giannakopoulou, E., Ragia, G., Kolovou, V., Tavridou, A., Tselepis, A. D., Elisaf, M., Kolovou, G., and Manolopoulos, V. G.
- Published
- 2014
- Full Text
- View/download PDF
20. Cardiotoxicity and Cancer Therapy
- Author
-
Vasiliadis, I., Kolovou, G., and Mikhailidis, D. P.
- Published
- 2014
- Full Text
- View/download PDF
21. Cardiovascular Magnetic Resonance Reveals Cardiac Pathophysiology in Autoimmune Rheumatic Diseases
- Author
-
Markousis-Mavrogenis, G. Sfikakis, P.P. Koutsogeorgopoulou, L. Dimitroulas, T. Katsifis, G. Giannakopoulou, A. Voulgari, P. Kolovou, G. Kitas, G.D. Mavrogeni, S.I.
- Subjects
cardiovascular diseases - Abstract
Background/Aims: The high incidence of cardiovascular disease (CVD) in patients with autoimmune rheumatic diseases (ARDs) is the main driver towards increased mortality in this patient group. Cardiovascular magnetic resonance (CMR) can non-invasively and robustly detect CVD in ARD patients at an early stage of development. The review summarises the diagnostic information provided by CMR in ARD patients. Summary: CMR uses a strong magnetic field combined with radio-frequency pulses (pulse sequences) to generate images. Firstly, balanced steady-state free precession (bSSFP) can be used for evaluating cardiac anatomy, mass, wall motion, atrial/ventricular function. Secondly, T2-weighted imaging (T2-W) can be used for oedema detection, which appears as a high signal intensity area on STIR (short tau inversion recovery) images. T2 mapping is a newer T2-W technique that can provide more optimal identification of myocardial oedema. Lastly, late gadolinium enhanced (LGE) T1-W images, taken 15 min. after injection of contrast agent, allow the detection of myocardial replacement fibrosis, which appears as a bright area in a background of black myocardium. However, LGE has inherent disadvantages for the assessment of diffuse myocardial fibrosis. Therefore, T1 mapping and extracellular volume fraction (ECV) have been developed to quantify diffuse myocardial fibrosis. Results: Although multicentre studies are still missing, the CMR parameters have been extensively applied for the identification of oedema/fibrosis and treatment decision making in ARDs. Conclusions: Tissue characterisation with CMR allows early and robust identification of CVD in ARD patients and contributes to personalized management in the patients. © 2021. All Rights Reserved.
- Published
- 2021
22. Reduced global longitudinal strain at rest and inadequate blood pressure response during exercise treadmill testing in male heterozygous familial hypercholesterolemia patients
- Author
-
Vartela, V. Armenis, I. Leivadarou, D. Toutouzas, K. Makrilakis, K. Athanassopoulos, G.D. Karatasakis, G. Kolovou, G. Mavrogeni, S. Perrea, D.
- Abstract
Background: Heterozygous familial hypercholesterolemia (heFH) is a genetic disorder leading to premature coronary artery disease (CAD). We hypothesized that the subclinical pathophysiologic consequences of hypercholesterolemia may be detected before the occurrence of clinically overt CAD by stress testing and myocardial strain imaging. Patients-methods: We evaluated the treadmill tests (ETTs) of 46 heFH men without known arterial hypertension/diabetes mellitus/vasculopathy like CAD and of 39 healthy men matched for age, baseline systolic/diastolic blood pressure (BP) and heart rate (HR), using Bruce protocol. Global longitudinal strain (GLS) of the left ventricle (LV) additionally to ejection fraction was obtained. Results: heFH men reached a significantly higher peak systolic and diastolic BP compared to controls (p = 0.002 and p < 0.001, respectively). Mean rate pressure product was significantly higher in heFH patients (p = 0.038). Both duration of the ETT and workload in metabolic equivalents was lower in the heFH group (p < 0.001 and p < 0.001, respectively). Baseline to peak rise of systolic and diastolic BP in heFH men was higher (p = 0.008 and p < 0.001 for systolic and diastolic BP, respectively). Furthermore, heFH men had higher rise of HR from baseline to peak, compared to controls; (p = 0.047). GLS in heHF men was slightly decreased (p = 0.014), although the ejection fraction was similar in both groups. Conclusion: heFH men have a higher rise in systolic/diastolic BP during ETT, which may reflect early, preclinical hypertension. Furthermore, slight impairment of LV GLS is present, despite the absence of apparent myocardial dysfunction in conventional 2D echocardiography. © 2021 The Authors
- Published
- 2021
23. Comparison of postprandial serum triglyceride and apolipoprotein b concentrations between the two phases of menstrual cycle in healthy women
- Author
-
Tzeravini, E. Tentolouris, A. Eleftheriadou, I. Chaviaras, N. Kolovou, G. Apostolidou-Kiouti, F. Stratigakos, E. Tentolouris, N.
- Subjects
lipids (amino acids, peptides, and proteins) - Abstract
Αbstract: Background: Sex hormones influence lipoprotein metabolism; whether the hormonal fluctua-tion during normal menstrual cycle has impact on non-fasting lipids remains unclear. Objective: To examine the differences in postprandial triglyceride, apolipoprotein B (ApoB) and non-high density lipoprotein cholesterol (non-HDL-C) concentrations using a standardized fat tolerance test during the 2 menstrual cycle phases. Methods: We enrolled 25 healthy, menstruating women. Each of them underwent a fat tolerance test during the 2 phases of the menstrual cycle. Blood samples were collected at baseline and up to 6 h post-prandially. Differences in serum triglycerides, ApoB and non-HDL-C between the 2 phases were as-sessed. The incremental area under the curve (iAUC) was calculated. Reproducibility of the measurements was tested using the intraclass correlation coefficient (ICC) and coefficient of variation (CV). Results: Serum triglyceride concentrations increased postprandially in both phases and the values were higher during the follicular compared with the luteal phase; however, the overall triglyceride response expressed as iAUC [median value (interquartile range)] did not differ between the follicular and the luteal phase [54.0 (-26.5, 107.0) and 48.0 (6.0, 114.5) mg x h/dl, respectively, p=0.64]. Serum ApoB concentrations did not increase postprandially and the overall ApoB response was not different between the 2 phases. Non-HDL-C concentrations changed postprandially, but the overall response was not different between the 2 phases of the menstrual cycle. Reproducibility of the measurements was moderate: ICC 0.689-0.848 for triglycerides, 0.721-0.771 for ApoB, 0.457-0.867 for non-HDL-C, and %CV >8 for all parameters. Conclusion: Serum triglyceride levels were higher during the follicular compared with the luteal phase after standardized meal consumption, but the overall postprandial triglyceride response did not differ between the 2 phases. Postprandial ApoB and non-HDL-C serum concentrations were not affected by the menstrual cycle. © 2021 Bentham Science Publishers.
- Published
- 2021
24. Prevalence of non-coronary heart disease in patients with familial hyperc-holesterolemia: An analysis from the HELLAS-FH
- Author
-
Anagnostis, P. Rizos, C.V. Skoumas, I. Rallidis, L. Tziomalos, K. Skalidis, E. Kotsis, V. Doumas, M. Kolovou, G. Sfikas, G. Bilianou, E. Koutagiar, I. Agapakis, D. Zacharis, E. Antza, C. Koumaras, C. Boutari, C. Liamis, G. Liberopoulos, E.N.
- Abstract
Aims: Despite the established link between familial hypercholesterolemia (FH) and increased risk of coronary heart disease (CHD), its association with other common atherosclerotic and metabolic diseases has not been extensively studied. The aim of this study was to report the prevalence of peripheral arterial disease (PAD) [i.e., common carotid artery disease (CCAD) and lower extremity arterial disease (LEAD)], aortic valve stenosis, chronic kidney disease (CKD) and non-alcoholic fatty liver disease (NAFLD) in patients with FH. Materials & Methods: This was a cross-sectional study retrieving data from the Hellenic Familial Hypercholes-terolemia Registry (HELLAS-FH). Results: A total of 1,633 adult patients (850 males) with heterozygous FH (HeFH) were included (mean age 51.3±14.6 years at registration and 44.3±15.9 years at diagnosis). Any common carotid artery stenosis (CCAS) was diagnosed in 124 out of 569 patients with available related data (21.8%), while the prevalence of CCAD (defined as a CCAS ≥50%) was 4.2%. The median (interquartile range-IQR) CCAS was 30% (20-40), whereas the median (IQR) carotid intima-media thickness (CIMT) was 0.7 (0.1-1.4) mm. LEAD was reported in 44 patients (prevalence 2.7%). The prevalence of aortic valve stenosis and CKD was 2.0% and 6.4%, respec-tively. NAFLD was present in 24% of study participants. Conclusion: HeFH is associated with a relatively high prevalence of any CCAS and CCAD. The prevalence of LEAD, CKD and aortic valve stenosis was relatively low, whereas the prevalence of NAFLD was similar to that of the general population. © 2021 Bentham Science Publishers.
- Published
- 2021
25. The importance of heart and brain imaging in children and adolescents with Multisystem Inflammatory Syndrome in Children (MIS-C)
- Author
-
Mavrogeni, S.I. Kolovou, G. Tsirimpis, V. Kafetzis, D. Tsolas, G. Fotis, L.
- Subjects
otorhinolaryngologic diseases - Abstract
Multisystem Inflammatory Syndrome in Children (MIS-C) recently reported in a minority of children affected by SARS-CoV-2, mimics Kawasaki disease (KD), a medium vessel vasculitis of unknown cause. In contrast to acute COVID-19 infection, which is usually mild in children, 68% of patients with MIS-C will need intensive care unit. Myocarditis and coronary artery ectasia/aneurysm are included between the main cardiovascular complications in MIS-C. Therefore, close clinical assessment is need it both at diagnosis and during follow-up. Echocardiography is the cornerstone modality for myocardial function and coronary artery evaluation in the acute phase. Cardiovascular magnetic resonance (CMR) detects diffuse myocardial inflammation including oedema/fibrosis, myocardial perfusion and coronary arteries anatomy during the convalescence and in adolescents, where echocardiography may provide inadequate images. Brain involvement in MIS-C is less frequent compared to cardiovascular disease. However, it is not unusual and should be monitored by clinical evaluation and brain magnetic resonance (MRI), as we still do not know its effect in brain development. Brain MRI in MIS-C shows T2-hyperintense lesions associated with restricted diffusion and bilateral thalamic lesions. To conclude, MIS-C is a multisystem disease affecting many vital organs, such as heart and brain. Clinical awareness, application of innovative, high technology imaging modalities and advanced treatment protocols including supportive and anti-inflammatory medication will help physicians to prevent the dreadful complications of MIS-C. © 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
- Published
- 2021
26. Implication of ESC/EAS 2019 dyslipidemia guidelines for PCSK9 inhibition in patients with familial hypercholesterolemia: An analysis from the Hellas-FH registry
- Author
-
Rizos, C., primary, Skoumas, I., additional, Skalides, E., additional, Rallidis, L., additional, Tziomalos, K., additional, Sfikas, G., additional, Garoufi, A., additional, Anagnostis, P., additional, Kolovou, G., additional, Kotsis, V., additional, Doumas, M., additional, Bilianou, E., additional, Koutagiar, I., additional, Zacharis, E., additional, Kiouri, E., additional, Bantouvakis, G., additional, Agapakis, D., additional, Attilakos, A., additional, Antza, C., additional, and Liberopoulos, E.N., additional
- Published
- 2021
- Full Text
- View/download PDF
27. Prevalence of non-coronary heart disease in patients with familial hypercholesterolemia: An analysis from the HELLAS-FH
- Author
-
Anagnostis, P., primary, Rizos, C., additional, Skoumas, I., additional, Rallidis, L., additional, Tziomalos, K., additional, Skalides, E., additional, Kotsis, V., additional, Doumas, M., additional, Kolovou, G., additional, Sfikas, G., additional, Bilianou, E., additional, Koutagiar, I., additional, Kiouri, E., additional, Agapakis, D., additional, Zacharis, E., additional, Antza, C., additional, Koumaras, C., additional, Boutari, C., additional, Liamis, G., additional, and Liberopoulos, E.N., additional
- Published
- 2021
- Full Text
- View/download PDF
28. Lipid profile and body mass index in patients with familial hypercholesterolemia: An analysis from the HELLAS-FH registry
- Author
-
Rizos, C., primary, Skoumas, I., additional, Skalides, E., additional, Rallidis, L., additional, Tziomalos, K., additional, Sfikas, G., additional, Garoufi, A., additional, Anagnostis, P., additional, Kolovou, G., additional, Kotsis, V., additional, Doumas, M., additional, Bilianou, E., additional, Koutagiar, I., additional, Zacharis, E., additional, Kiouri, E., additional, Bantouvakis, G., additional, Agapakis, D., additional, Attilakos, A., additional, Antza, C., additional, Koutsogianni, A.-D., additional, and Liberopoulos, E.N., additional
- Published
- 2021
- Full Text
- View/download PDF
29. Ventricular tachycardia has mainly non-ischaemic substrates in patients with autoimmune rheumatic diseases and a preserved ejection fraction
- Author
-
Markousis-Mavrogenis, G. Poulos, G. Dimitroulas, T. Giannakopoulou, A. Mavragani, C. Vartela, V. Manolopoulou, D. Kolovou, G. Voulgari, P. Sfikakis, P.P. Kitas, G.D. Mavrogeni, S.I. and Markousis-Mavrogenis, G. Poulos, G. Dimitroulas, T. Giannakopoulou, A. Mavragani, C. Vartela, V. Manolopoulou, D. Kolovou, G. Voulgari, P. Sfikakis, P.P. Kitas, G.D. Mavrogeni, S.I.
- Abstract
Non-sustained ventricular tachycardia (NSVT) is a potentially lethal arrhythmia that is most commonly attributed to coronary artery disease. We hypothesised that among patients with NSVT and preserved ejection fraction, cardiovascular magnetic resonance (CMR) would identify a different proportion of ischaemic/non-ischaemic arrhythmogenic substrates in those with and without autoimmune rheumatic diseases (ARDs). In total, 80 consecutive patients (40 with ARDs, 40 with non-ARD-related cardiac pathology) with NSVT in the past 15 days and preserved left ventricular ejection fraction were examined using a 1.5-T system. Evaluated parameters included biventricular volumes/ejection fractions, T2 signal ratio, early/late gadolinium enhancement (EGE/LGE), T1 and T2 mapping and extracellular volume fraction (ECV). Mean age did not differ across groups, but patients with ARDs were more often women (32 (80%) vs. 15 (38%), p < 0.001). Biventricular systolic function, T2 signal ratio and EGE and LGE extent did not differ significantly between groups. Patients with ARDs had significantly higher median native T1 mapping (1078.5 (1049.0–1149.0) vs. 1041.5 (1014.0–1079.5), p = 0.003), higher ECV (31.0 (29.0–32.0) vs. 28.0 (26.5–30.0), p = 0.003) and higher T2 mapping (57.5 (54.0–61.0) vs. 52.0 (48.0–55.5), p = 0.001). In patients with ARDs, the distribution of cardiac fibrosis followed a predominantly non-ischaemic pattern, with ischaemic patterns being more common in those without ARDs (p < 0.001). After accounting for age and cardiovascular comorbidities, most findings remained unaffected, while only tissue characterisation indices remained significant after additionally correcting for sex. Patients with ARDs had a predominantly non-ischaemic myocardial scar pattern and showed evidence of diffuse inflammatory/ischaemic changes (elevated native T1-/T2-mapping and ECV values) independent of confounding factors. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
- Published
- 2021
30. Postprandial hypertriglyceridaemia in patients with Tangier disease
- Author
-
Kolovou, G., Daskalova, D., Anagnostopoulou, K., Hoursalas, I., Voudris, V., Mikhailidis, D.P., and Cokkinos, D.V.
- Abstract
J Clin Pathol 2003;56:937-941 Background: Tangier disease (TD) is the phenotypic expression of rare familial syndromes with mutations in the ABCA1 transporter. TD results in extremely low high density lipoprotein [...]
- Published
- 2003
31. Quantifying atherogenic lipoproteins for lipid-lowering strategies: consensus-based recommendations from EAS and EFLM
- Author
-
Langlois, M.R., primary, Nordestgaard, B.G., additional, Langsted, A., additional, Chapman, M., additional, Aakre, K.M., additional, Baum, H., additional, Borén, J., additional, Bruckert, E., additional, Catapano, A., additional, Cobbaert, Ch., additional, Collinson, P., additional, Descamps, O.S., additional, Duff, Ch.J., additional, Eckardstein, von A., additional, Hammerer-Lercher, A., additional, Kamstrup, P.R., additional, Kolovou, G., additional, Kronenberg, F., additional, Mora, S., additional, Pulkki, K., additional, Remaley, A.T., additional, Rifai, N., additional, Ros, E., additional, Stankovic, S., additional, Stavljenic-Rukavina, A., additional, Sypniewska, G., additional, Watts, G.F., additional, Wiklund, O., additional, and Laitinen, P., additional
- Published
- 2021
- Full Text
- View/download PDF
32. Clinical characteristics of patients with familial hypercholesterolemia: Data from the HELLAS-FH registry
- Author
-
Rizos, C., primary, Liamis, G., additional, Skoumas, I., additional, Rallidis, L., additional, Tziomalos, K., additional, Skalides, E., additional, Kotsis, V., additional, Garoufi, A., additional, Athyros, V.G., additional, Kolovou, G., additional, Sfikas, G., additional, Bilianou, E., additional, Koutagiar, I., additional, Kiouri, E., additional, Agapakis, D., additional, Zacharis, E., additional, Antza, C., additional, Attilakos, A., additional, Katsiki, N., additional, Anagnostis, P., additional, Koumaras, C., additional, and Liberopoulos, E., additional
- Published
- 2020
- Full Text
- View/download PDF
33. Latest European guidelines for dyslipidemias in the setting of familial hypercholesterolemia: Data from the hellas-fh registry
- Author
-
Rizos, C., primary, Skoumas, I., additional, Rallidis, L., additional, Tziomalos, K., additional, Skalides, E., additional, Kotsis, V., additional, Garoufi, A., additional, Athyros, V.G., additional, Kolovou, G., additional, Sfikas, G., additional, Bilianou, E., additional, Koutagiar, I., additional, Kiouri, E., additional, Agapakis, D., additional, Zacharis, E., additional, Antza, C., additional, Attilakos, A., additional, Katsiki, N., additional, Anagnostis, P., additional, Elisaf, M., additional, and Liberopoulos, E., additional
- Published
- 2020
- Full Text
- View/download PDF
34. Cholesterol levels of high-density lipoprotein (HDL-C), APOB/APOA1 ratio and cardiovascular risk in patients with familial hypercholesterolemia (FH): Data from the HELLAS-FH registry
- Author
-
Rizos, C., primary, Liamis, G., additional, Skoumas, I., additional, Rallidis, L., additional, Tziomalos, K., additional, Skalides, E., additional, Kotsis, V., additional, Garoufi, A., additional, Athyros, V.G., additional, Kolovou, G., additional, Sfikas, G., additional, Bilianou, E., additional, Koutagiar, I., additional, Kiouri, E., additional, Agapakis, D., additional, Zacharis, E., additional, Antza, C., additional, Attilakos, A., additional, Katsiki, N., additional, Koumaras, C., additional, and Liberopoulos, E., additional
- Published
- 2020
- Full Text
- View/download PDF
35. Coexistence of cardiovascular risk factors in patients with familial hypercholesterolemia: Data from the HELLAS-FH registry
- Author
-
Rizos, C., primary, Elisaf, M., additional, Skoumas, I., additional, Rallidis, L., additional, Tziomalos, K., additional, Skalides, E., additional, Kotsis, V., additional, Garoufi, A., additional, Athyros, V.G., additional, Kolovou, G., additional, Sfikas, G., additional, Bilianou, E., additional, Koutagiar, I., additional, Kiouri, E., additional, Agapakis, D., additional, Zacharis, E., additional, Antza, C., additional, Attilakos, A., additional, Katsiki, N., additional, and Liberopoulos, E., additional
- Published
- 2020
- Full Text
- View/download PDF
36. THU0355 PARAMETRIC CARDIAC MAGNETIC RESONANCE IMAGING IDENTIFIES ARRHYTHMOGENIC SUBSTRATES IN SYSTEMIC SCLEROSIS PATIENTS
- Author
-
Mavrogeni, S. I., primary, Gargani, L., additional, Pepe, A., additional, Monti, L., additional, Markousis-Mavrogenis, G., additional, De Santis, M., additional, Meloni, A., additional, Koutsogeorgopoulou, L., additional, Karabela, G., additional, Stavropoulos, E., additional, Katsifis, G., additional, Bratis, K., additional, Bellando Randone, S., additional, Guiducci, S., additional, Bruni, C., additional, Moggi-Pignone, A., additional, Dimitroulas, T., additional, Voulgari, P., additional, Kolovou, G., additional, Bournia, V. K., additional, Mukherjee, M., additional, Lima, J., additional, Kitas, G. D., additional, Sfikakis, P., additional, and Matucci-Cerinic, M., additional
- Published
- 2020
- Full Text
- View/download PDF
37. Rationale and design of the Greek registry for familial hypercholesterolemia (GRegistry-FH) of the hellenic college of treatment of atherosclerosis (HCTA)
- Author
-
Kolovou, G. Marvaki, C. Makrygiannis, S. Kadda, O. Giannakopoulou, V. Kalogeropoulos, P. Anagnostopoulou, K. Goumas, G. Kazianis, G. Limberi, S. Perrea, D. Kolovou, V. Bilianou, H.
- Published
- 2020
38. Is There a Brain/Heart Interaction in Rheumatoid Arthritis and Seronegative Spondyloartropathies? A Combined Brain/Heart Magnetic Resonance Imaging Reveals the Answer
- Author
-
Markousis-Mavrogenis, G. Koutsogeorgopoulou, L. Dimitroulas, T. Katsifis, G. Vartela, V. Mitsikostas, D. Kolovou, G. Voulgari, P. Sfikakis, P.P. Kitas, G.D. Mavrogeni, S.I.
- Subjects
cardiovascular diseases - Abstract
Purpose of Review: To present the interaction between brain/heart and emphasize the role of combined brain/heart magnetic resonance imaging (MRI) in patients with rheumatoid arthritis (RA) and other seronegative spondyloarthropathies (SNA). Recent Findings: Both traditional cardiovascular disease (CVD) risk factors and intrinsic RA/SNA features contribute to the increased CVD-related morbidity/mortality. CVD in RA usually occurs a decade earlier than age- and sex-matched controls, and RA patients are twice more likely to develop myocardial infarction irrespective of age, history of prior CVD, and traditional CVD risk factors. RA also increases risk of non-ischemic heart failure (HF), valvular disease, and myo-pericarditis. CVD in SNA affects more commonly patients with long-standing disease. Ascending aortitis, aortic/mitral insufficiency, conduction defects, and diastolic dysfunction are the commonest findings in ankylosing spondylitis (AS). CVD is also the leading cause of death in psoriatic arthritis (PsA), due to myopericarditis, diastolic dysfunction, and valvular disease. Brain damage, due to either ischemic or hemorrhagic stroke and silent vascular damage, such as white matter hyperenhancement (WMH), is increased in both RA/SNA and may lead to cognitive dysfunction, depression, and brain atrophy. Magnetic resonance imaging (MRI) is ideal for serial brain/heart evaluation of patients with systemic diseases. Summary: RA/SNA patients are at high risk for brain/heart damage at early age, irrespectively of classic risk factors. Until more data will be obtained, a combined brain/heart MRI evaluation can be proposed in RA/SNA with new onset of arrhythmia and/or HF, cognitive dysfunction and/or depression. © 2020, Springer Science+Business Media, LLC, part of Springer Nature.
- Published
- 2020
39. Friedreich's Ataxia: Case series and the Additive Value of Cardiovascular Magnetic Resonance
- Author
-
Mavrogeni, S. Giannakopoulou, A. Katsalouli, M. Pons, R.M. Papavasiliou, A. Kolovou, G. Noutsias, M. Papadopoulos, G. Karanasios, E. Chrousos, G.P.
- Subjects
cardiovascular system ,cardiovascular diseases - Abstract
Background Friedreich's ataxia (FA) is an autosomal-recessive neurodegenerative disease characterised by neurologic, cardiac and endocrine abnormalities. Currently, Friedreich cardiomyopathy (FA-CM) staging is based on early ECG findings, high sensitivity troponin (hsTNT) ≥14 ng/ml and echocardiographic left ventricular (LV) morphologic and functional evaluation. However, further parameters, accessible only by cardiovascular magnetic resonance (CMR), such as myocardial oedema, perfusion defects, replacement and/or diffuse myocardial fibrosis, may have a place in the staging of FA-CA. Our aim was to elucidate the additive value of CMR in FA-CM. Methods Three FA cases were assessed using ECG, 24 h Holter recording, hsTNT, routine ECHO including wall dimension, valvular and ventricular function evaluation and CMR using 1.5T Ingenia system. Ventricular volumes-function, wall dimensions and fibrosis imaging using late gadolinium enhancement (LGE) was performed. Results All FA patients had non-specific ECG changes, almost normal 24 h Holter recording, mild hypertrophy with normal function assessed by echocardiography and increased hsTNT. However, the CMR evaluation revealed the presence of LGE >5% of LV mass, indicative of severe fibrosis. Therefore, the FA patients were re-categorized as having severe FA-CA, although their LVEF remained normal. Conclusion The combination of classical diagnostic indices and CMR may reveal early asymptomatic FA-CM and motivate the early initiation of cardiac treatment. Furthermore, these indices can be also used to validate specific treatment targets in FA, potentially useful in the prevention of FA-CM. © 2020 - IOS Press and the authors. All rights reserved.
- Published
- 2020
40. PARAMETRIC CARDIAC MAGNETIC RESONANCE IMAGING IDENTIFIES ARRHYTHMOGENIC SUBSTRATES IN SYSTEMIC SCLEROSIS PATIENTS
- Author
-
Mavrogeni, S. I. Gargani, L. Pepe, A. Monti, L. and Markousis-Mavrogenis, G. De Santis, M. Meloni, A. and Koutsogeorgopoulou, L. Karabela, G. Stavropoulos, E. and Katsifis, G. Bratis, K. Randone, S. Bellando Guiducci, S. and Bruni, C. Moggi-Pignone, A. Dimitroulas, T. Voulgari, P. and Kolovou, G. Bournia, V. K. Mukherjee, M. Lima, J. and Kitas, G. D. Sfikakis, P. Matucci-Cerinic, M.
- Published
- 2020
41. Combined brain-heart magnetic resonance imaging in autoimmune rheumatic disease patients with cardiac symptoms: Hypothesis generating insights from a cross-sectional study
- Author
-
Markousis-mavrogenis, G. Mitsikostas, D.D. Koutsogeorgopoulou, L. Dimitroulas, T. Katsifis, G. Argyriou, P. Apostolou, D. Velitsista, S. Vartela, V. Manolopoulou, D. Tektonidou, M.G. Kolovou, G. Kitas, G.D. Sfikakis, P.P. Mavrogeni, S.I.
- Abstract
Background: Autoimmune rheumatic diseases (ARDs) may affect both the heart and the brain. However, little is known about the interaction between these organs in ARD patients. We asked whether brain lesions are more frequent in ARD patients with cardiac symptoms compared with non-ARD patients with cardiovascular disease (CVD). Methods: 57 ARD patients with mean age of 48 ± 13 years presenting with shortness of breath, chest pain, and/or palpitations, and 30 age-matched disease-controls with non-autoimmune CVD, were evaluated using combined brain– heart magnetic resonance imaging (MRI) in a 1.5T system. Results: 52 (91%) ARD patients and 16 (53%) controls had white matter hyperintensities (p < 0.001) in at least one brain area (subcortical/deep/periventricular white matter, basal ganglia, pons, brainstem, or mesial temporal lobe). Only the frequency and number of subcortical and deep white matter lesions were significantly greater in ARD patients (p < 0.001 and 0.014, respectively). ARD vs. control status was the only independent predictor of having any brain lesion. Specifically for deep white matter lesions, each increase in ECV independently predicted a higher number of lesions [odds ratio (95% confidence interval): 1.16 (1.01–1.33), p = 0.031] in ordered logistic regression. Penalized logistic regression selected only ARD vs. control status as the most important feature for predicting whether brain lesions were present on brain MRI (odds ratio: 5.46, marginal false discovery rate = 0.011). Conclusions: Subclinical brain involvement was highly prevalent in this cohort of ARD patients and was mostly independent of the severity of cardiac involvement. However, further research is required to determine the clinical relevance of these findings. © 2020 by the authors. Licensee MDPI, Basel, Switzerland.
- Published
- 2020
42. Myocardial Involvement in Rheumatic Disorders
- Author
-
Markousis-Mavrogenis, G. Pepe, A. Gargani, L. Kariki, U. Bonou, M. Koutsogeorgopoulou, L. Manolopoulou, D. Tektonidou, M.G. Vartela, V. Kolovou, G. Mavrogeni, S.I.
- Abstract
Purpose of Review: Autoimmune rheumatic diseases (ARDs) affect 8% of the population and approximately 78% of patients are women. Myocardial disease in ARDs is the endpoint of various pathophysiologic mechanisms including atherosclerosis, valvular disease, systemic, myocardial, and/or vascular inflammation, as well as myocardial ischemia and replacement/diffuse fibrosis. Recent Findings: The increased risk of CVD in ARDs leads to excess comorbidity not fully explained by traditional cardiovascular risk factors. It seems that the chronic inflammatory status typically seen in ARDs, promotes both the development of myocardial inflammation/fibrosis and the acceleration of atherosclerosis. Summary: CMR (cardio-vascular magnetic resonance) is the ideal imaging modality for the evaluation of cardiac involvement in patients with ARDs, as it can simultaneously assess cardiac function and characterize myocardial tissues with regard to oedema and fibrosis. Due to its high spatial resolution, CMR is capable of identifying various disease entities such as myocardial oedema /inflammation, subendocardial vasculitis and myocardial fibrosis, that are often missed by other imaging modalities, notably at an early stage of development. Although generally accepted guidelines about the application of CMR in ARDs have not yet been formulated, according to our experience and the available published literature, we recommend CMR in ARD patientS with new-onset heart failure (HF), arrhythmia, for treatment evaluation/change or if there is any mismatch between patient symptoms and routine non-invasive evaluation. © 2020, Springer Science+Business Media, LLC, part of Springer Nature.
- Published
- 2020
43. The pivotal role of cardiovascular imaging in the identification and risk stratification of non-compaction cardiomyopathy patients
- Author
-
Mavrogeni, S.I. Markousis-Mavrogenis, G. Vartela, V. Manolopoulou, D. Abate, E. Hamadanchi, A. Rigopoulos, A.G. Kolovou, G. Noutsias, M.
- Subjects
cardiovascular system ,cardiovascular diseases - Abstract
Non-compaction cardiomyopathy (NCM) is a heterogeneous myocardial disease that can finally lead to heart failure, arrhythmias, and/or embolic events. Therefore, early diagnosis and treatment is of paramount importance. Furthermore, genetic assessment and counseling are crucial for individual risk assessment and family planning. Echocardiography is the first-line imaging modality. However, it is hampered by interobserver variability, depends among others on the quality of the acoustic window, cannot assess reliably the right ventricle and the apex, and cannot provide tissue characterization. Cardiovascular magnetic resonance (CMR) provides a 3D approach allowing imaging of the entire heart, including both left and right ventricle, with low operator variability or limitations due to patient’s body structure. Furthermore, tissue characterization, using late gadolinium enhancement (LGE), allows the detection of fibrotic areas possibly representing the substrate for potentially lethal arrhythmias, predicts the severity of LV systolic dysfunction, and differentiates apical thrombus from fibrosis. Conversely, besides being associated with high costs, CMR has long acquisition/processing times, lack of expertise among cardiologists/radiologists, and limited availability. Additionally, in cases of respiratory and/or cardiac motion artifacts or arrhythmias, the cine images may be blurred. However, CMR cannot be applied to patients with not CMR-compatible implanted devices and LGE may be not available in patients with severely reduced GFR. Nevertheless, native T1 mapping can provide detailed tissue characterization in such cases. This tremendous potential of CMR makes this modality the ideal tool for better risk stratification of NCM patient, based not only on functional but also on tissue characterization information. © 2019, Springer Science+Business Media, LLC, part of Springer Nature.
- Published
- 2020
44. Current understanding and future perspectives of brain–heart–kidney axis in psoriatic arthritis
- Author
-
Markousis-Mavrogenis, G. Nurmohamed, M.T. Koutsogeorgopoulou, L. Dimitroulas, T. Katsifis, G. Vartela, V. Mitsikostas, D. Kolovou, G. Tektonidou, M. Voulgari, P. Sfikakis, P.P. Kitas, G.D. Mavrogeni, S.I.
- Subjects
urologic and male genital diseases - Abstract
Psoriatic arthritis (PsA) patients are at a higher risk of systemic inflammatory sequelae, leading to microalbuminuria, cardiovascular (CVD) and neuropsychiatric (NPD) disease. Our aim is to present the existing literature about the relationship between CVD, kidney and NPD in PsA. The literature evaluation of PsA revealed that chronic T-cell activation and increased levels of circulating immune complexes can cause glomerular injury leading to microalbuminuria, which predicts CVD and all-cause mortality in both diabetic and non-diabetic patients. Furthermore, it is a marker of preclinical brain damage and identifies patients at higher risk of NPD/CVD events. Among the currently used imaging modalities in PsA, magnetic resonance imaging (MRI) maintains a crucial role, because it is ideal for concurrent evaluation of brain/heart involvement and serial follow up assessment. There is increasing evidence regarding the relationship between kidneys, heart and brain in PsA. Although currently there are no official recommendations about a combined brain/heart MRI in PsA, it could be considered in PsA with microalbuminuria, arrhythmia, HF, cognitive dysfunction and/or depression. © 2020, Springer-Verlag GmbH Germany, part of Springer Nature.
- Published
- 2020
45. The double-edged sword of t1-mapping in systemic sclerosis-a comparison with infectious myocarditis using cardiovascular magnetic resonance
- Author
-
Markousis-Mavrogenis, G. Koutsogeorgopoulou, L. Katsifis, G. Dimitroulas, T. Kolovou, G. Kitas, G.D. Sfikakis, P.P. Mavrogeni, S.I.
- Abstract
Aims: T1-mapping is considered a surrogate marker of acute myocardial inflammation. However, in diffuse cutaneous systemic sclerosis (dcSSc) this might be confounded by coexisting myocardial fibrosis. We hypothesized that T1-based indices should not by themselves be considered as indicators of myocardial inflammation in dcSSc patients. Methods/Results: A cohort of 59 dcSSc and 34 infectious myocarditis patients was prospectively evaluated using a 1.5-Tesla system for an indication of suspected myocardial inflammation and was compared with 31 healthy controls. Collectively, 33 (97%) and 57 (98%) of myocarditis and dcSSc patients respectively had ≥1 pathologic T2-based index. However, 33 (97%) and 45 (76%) of myocarditis and dcSSc patients respectively had ≥1 pathologic T2-based index. T2-signal ratio was significantly higher in myocarditis patients compared with dcSSc patients (2.5 (0.6) vs. 2.1 (0.4), p < 0.001). Early gadolinium enhancement, late gadolinium enhancement and T2-mapping did not differ significantly between groups. However, both native T1-mapping and extracellular volume fraction were significantly lower in myocarditis compared with dcSSc patients (1051.0 (1027.0, 1099.0) vs. 1120.0 (1065.0, 1170.0), p < 0.001 and 28.0 (26.0, 30.0) vs. 31.5 (30.0, 33.0), p < 0.001, respectively). The original Lake Louise criteria (LLc) were positive in 34 (100%) myocarditis and 40 (69%) dcSSc patients, while the updated LLc were positive in 32 (94%) and 44 (76%) patients, respectively. Both criteria had good agreement with greater but nonsignificant discordance in dcSSc patients. Conclusions: ∼25% of dcSSc patients with suspected myocardial inflammation had no CMR evidence of acute inflammatory processes. T1-based indices should not be used by themselves as surrogates of acute myocardial inflammation in dcSSc patients. © 2020 by the authors. Licensee MDPI, Basel, Switzerland.
- Published
- 2020
46. Cardiovascular disease in women: Executive summary of the expert panel statement of women in cardiology of the hellenic cardiological society
- Author
-
Chrysohoou, C. Aggeli, C. Avgeropoulou, C. Aroni, M. Bonou, M. Boutsikou, M. Brili, S. Chamodraka, E. Dagre, A. Flevari, P. Fountoulaki, A. Frogoudaki, A. Gkouziouta, A. Grapsa, J. Hatzinikolaou-Kotsakou, E. Kalantzi, K. Kitsiou, A. Kostakou, P. Kourea, R. Koutrolou-Sotiropoulou, P. Marketou, M. Mavrogeni, S. Naka, K.K. Nikolaou, M. Papazachou, O. Papavasileiou, L.P. Simeonidou, E. Theopistou, A. Triantafyllidi, H. Trikka, C. Tsekoura, D. Tzifa, A. Vaina, S. Vrettou, A.R. Zaglavara, T. Kolovou, G. Aggelopoulou, E. Antoniou, A. Bistola, V. Bilianou, E. Boufidou, A. Demerouti, E. Giannakopoulou, V. Karvouni, E. Komnou, A. Kyriakou, P. Limperi, S. Mavrogianni, A. Michalopoulou, H. Nakou, E. Nyhtari, E. Papavasiliou, M. Pietri, P. Petropoulou, E. Prappa, E. Riga, M. Sbarouni, E. Stavrati, A. Reviewers
- Abstract
The perception that women represent a low-risk population for cardiovascular (CV) disease (CVD) needs to be reconsidered. Starting from risk factors, women are more likely to be susceptible to unhealthy behaviors and risk factors that have different impact on CV morbidity and mortality as compared to men. Despite the large body of evidence as regards the effect of lifestyle factors on the CVD onset, the gender-specific effect of traditional and non-traditional risk factors on the prognosis of patients with already established CVD has not been well investigated and understood. Furthermore, CVD in women is often misdiagnosed, underestimated, and undertreated. Women also experience hormonal changes from adolescence till elder life that affect CV physiology. Unfortunately, in most of the clinical trials women are underrepresented, leading to the limited knowledge of CV and systemic impact effects of several treatment modalities on women's health. Thus, in this consensus, a group of female cardiologists from the Hellenic Society of Cardiology presents the special features of CVD in women: the different needs in primary and secondary prevention, as well as therapeutic strategies that may be implemented in daily clinical practice to eliminate underestimation and undertreatment of CVD in the female population. © 2020 Hellenic Society of Cardiology
- Published
- 2020
47. Achieving low-density lipoprotein cholesterol targets as assessed by different methods in patients with familial hypercholesterolemia: An analysis from the HELLAS-FH registry
- Author
-
Rizos, C.V. Florentin, M. Skoumas, I. Tziomalos, K. Rallidis, L. Kotsis, V. Athyros, V. Skalidis, E. Kolovou, G. Garoufi, A. Bilianou, E. Koutagiar, I. Agapakis, D. Kiouri, E. Antza, C. Katsiki, N. Zacharis, E. Attilakos, A. Sfikas, G. Anagnostis, P. Panagiotakos, D.B. Liberopoulos, E.N.
- Subjects
lipids (amino acids, peptides, and proteins) - Abstract
Background: Familial hypercholesterolemia (FH) is characterized by elevated low-density lipoprotein cholesterol (LDL-C) levels and increased cardiovascular disease (CVD) risk. FH patients often have increased lipoprotein(a) [Lp(a)] levels, which further increase CVD risk. Novel methods for accurately calculating LDL-C have been proposed. Methods: Patients with FH were recruited by a network of Greek sites participating in the HELLAS-FH registry. LDL-C levels were calculated using the Friedewald (LDL-CF) and the Martin/Hopkins (LDL-CM/H) equations as well as after correcting LDL-CM/H for Lp(a) levels [LDL-CLp(a)corM/H]. The objective was to compare LDL-C levels and target achievement as estimated by different methods in FH patients. Results: This analysis included 1620 patients (1423 adults and 197 children). In adults at diagnosis, LDL-CF and LDL-CM/H levels were similar [235 ± 70 mg/dL (6.1 ± 1.8 mmol/L) vs 235 ± 69 mg/dL (6.1 ± 1.8 mmol/L), respectively; P = NS], while LDL-CLp(a)corM/H levels were non-significantly lower than LDL-CF [211 ± 61 mg/dL (5.5 ± 1.6 mmol/L); P = 0.432]. In treated adults (n = 966) both LDL-CF [150 ± 71 mg/dL (3.9 ± 1.8 mmol/L)] and LDL-CM/H levels [151 ± 70 mg/dL (6.1 ± 1.8 mmol/L); P = 0.746] were similar, whereas LDL-CLp(a)corM/H levels were significantly lower than LDL-CF [121 ± 62 mg/dL (3.1 ± 1.6 mmol/L); P < 0.001]. Target achievement as per latest guidelines in treated patients using the LDL-CM/H (2.5%) and especially LDL-CLp(a)corM/H methods (10.7%) were significantly different than LDL-CF (2.9%; P < 0.001). In children, all 3 formulas resulted in similar LDL-C levels, both at diagnosis and in treated patients. However, target achievement by LDL-CF was lower compared with LDL-CM/H and LDL-CLp(a)corM/H methods (22.1 vs 24.8 vs 33.3%; P < 0.001 for both comparisons). Conclusion: LDL-CLp(a)corM/H results in significantly lower values and higher target achievement rate in both treated adults and children. If validated in clinical trials, LDL-CLp(a)corM/H may become the method of choice to more accurately estimate 'true' LDL-C levels in FH patients. © 2020 The Author(s).
- Published
- 2020
48. Quality control and conduct of genome-wide association meta-analyses
- Author
-
Winkler, T, Day, F, Croteau Chonka, D, Wood, A, Locke, A, Mägi, R, Ferreira, T, Fall, T, Graff, M, Justice, A, Luan, J, Gustafsson, S, Randall, J, Vedantam, S, Workalemahu, T, Kilpeläinen, T, Scherag, A, Esko, T, Kutalik, Z, Heid, I, Loos, R, Abecasis GR, Absher D, Alavere H, Albrecht E, Allen HL, Almgren P, Amin N, Amouyel P, Anderson D, Arnold AM, Arveiler D, Aspelund T, Asselbergs FW, Assimes TL, Atalay M, Attwood AP, Atwood LD, Bakker SJ, Balkau B, Balmforth AJ, Barlassina C, Barroso I, Basart H, Bauer S, Beckmann JS, Beilby JP, Bennett AJ, Ben Shlomo Y, Bergman RN, Bergmann S, Berndt SI, Biffar R, Di Blasio AM, Boehm BO, Boehnke M, Boeing H, Boerwinkle E, Bolton JL, Bonnefond A, Bonnycastle LL, Boomsma DI, Borecki IB, Bornstein SR, Bouatia Naji N, Boucher G, Bragg Gresham JL, BRAMBILLA, PAOLO, Bruinenberg M, Buchanan TA, Buechler C, Cadby G, Campbell H, Caulfield MJ, Cavalcanti Proença C, CESANA, GIANCARLO, Chanock SJ, Chasman DI, Chen YD, Chines PS, Clegg DJ, Coin L, Collins FS, Connell JM, Cookson W, Cooper MN, Croteau Chonka DC, Cupples LA, Cusi D, Day FR, Day IN, Dedoussis GV, Dei M, Deloukas P, Dermitzakis ET, Dimas AS, Dimitriou M, Dixon AL, Dörr M, van Duijn CM, Ebrahim S, Edkins S, Eiriksdottir G, Eisinger K, Eklund N, Elliott P, Erbel R, Erdmann J, Erdos MR, Eriksson JG, Esko T, Estrada K, Evans DM, de Faire U, Fall T, Farrall M, Feitosa MF, Ferrario MM, Ferreira T, Ferrières J, Fischer K, Fisher E, Fowkes G, Fox CS, Franke L, Franks PW, Fraser RM, Frau F, Frayling T, Freimer NB, Froguel P, Fu M, Gaget S, Ganna A, Gejman PV, Gentilini D, Geus EJ, Gieger C, Gigante B, Gjesing AP, Glazer NL, Goddard ME, Goel A, Grallert H, Gräßler J, Grönberg H, Groop LC, Groves CJ, Gudnason V, Guiducci C, Gustafsson S, Gyllensten U, Hall AS, Hall P, Hallmans G, Hamsten A, Hansen T, Haritunians T, Harris TB, van der Harst P, Hartikainen AL, Hassanali N, Hattersley AT, Havulinna AS, Hayward C, Heard Costa NL, Heath AC, Hebebrand J, Heid IM, den Heijer M, Hengstenberg C, Herzig KH, Hicks AA, Hingorani A, Hinney A, Hirschhorn JN, Hofman A, Holmes CC, Homuth G, Hottenga JJ, Hovingh KG, Hu FB, Hu YJ, Huffman JE, Hui J, Huikuri H, Humphries SE, Hung J, Hunt SE, Hunter D, Hveem K, Hyppönen E, Igl W, Illig T, Ingelsson E, Iribarren C, Isomaa B, Jackson AU, Jacobs KB, James AL, Jansson JO, Jarick I, Jarvelin MR, Jöckel KH, Johansson Å, Johnson T, Jolley J, Jørgensen T, Jousilahti P, Jula A, Justice AE, Kaakinen M, Kähönen M, Kajantie E, Kanoni S, Kao WH, Kaplan LM, Kaplan RC, Kaprio J, Kapur K, Karpe F, Kathiresan S, Kee F, Keinanen Kiukaanniemi SM, Ketkar S, Kettunen J, Khaw KT, Kiemeney LA, Kilpeläinen TO, Kinnunen L, Kivimaki M, Kivmaki M, Van der Klauw MM, Kleber ME, Knowles JW, Koenig W, Kolcic I, Kolovou G, König IR, Koskinen S, Kovacs P, Kraft P, Kraja AT, Kristiansson K, KrjutÅjkov K, Kroemer HK, Krohn JP, Krzelj V, Kuh D, Kulzer JR, Kumari M, Kutalik Z, Kuulasmaa K, Kuusisto J, Kvaloy K, Laakso M, Laitinen JH, Lakka TA, Lamina C, Langenberg C, Lantieri O, Lathrop GM, Launer LJ, Lawlor DA, Lawrence RW, Leach IM, Lecoeur C, Lee SH, Lehtimäki T, Leitzmann MF, Lettre G, Levinson DF, Li G, Li S, Liang L, Lin DY, Lind L, Lindgren CM, Lindström J, Liu J, Liuzzi A, Locke AE, Lokki ML, Loley C, Loos RJ, Lorentzon M, Luan J, Luben RN, Ludwig B, Madden PA, Mägi R, Magnusson PK, Mangino M, Manunta P, Marek D, Marre M, Martin NG, März W, Maschio A, Mathieson I, McArdle WL, McCaroll SA, McCarthy A, McCarthy MI, McKnight B, Medina Gomez C, Medland SE, Meitinger T, Metspalu A, van Meurs JB, Meyre D, Midthjell K, Mihailov E, Milani L, Min JL, Moebus S, Moffatt MF, Mohlke KL, Molony C, Monda KL, Montgomery GW, Mooser V, Morken MA, Morris AD, Morris AP, Mühleisen TW, Müller Nurasyid M, Munroe PB, Musk AW, Narisu N, Navis G, Neale BM, Nelis M, Nemesh J, Neville MJ, Ngwa JS, Nicholson G, Nieminen MS, Njølstad I, Nohr EA, Nolte IM, North KE, Nöthen MM, Nyholt DR, O'Connell JR, Ohlsson C, Oldehinkel AJ, van Ommen GJ, Ong KK, Oostra BA, Ouwehand WH, Palmer CN, Palmer LJ, Palotie A, Paré G, Parker AN, Paternoster L, Pawitan Y, Pechlivanis S, Peden JF, Pedersen NL, Pedersen O, Pellikka N, Peltonen L, Penninx B, Perola M, Perry JR, Person T, Peters A, Peters MJ, Pichler I, Pietiläinen KH, Platou CG, Polasek O, Pouta A, Power C, Pramstaller PP, Preuss M, Price JF, Prokopenko I, Province MA, Psaty BM, Purcell S, Pütter C, Qi L, Quertermous T, Radhakrishnan A, Raitakari O, Randall JC, Rauramaa R, Rayner NW, Rehnberg E, Rendon A, Ridderstråle M, Ridker PM, Ripatti S, Rissanen A, Rivadeneira F, Rivolta C, Robertson NR, Rose LM, Rudan I, Saaristo TE, Sager H, Salomaa V, Samani NJ, Sambrook JG, Sanders AR, Sandholt C, Sanna S, Saramies J, Schadt EE, Scherag A, Schipf S, Schlessinger D, Schreiber S, Schunkert H, Schwarz PE, Scott LJ, Shi J, Shin SY, Shuldiner AR, Shungin D, Signorini S, Silander K, Sinisalo J, Skrobek B, Smit JH, Smith AV, Smith GD, Snieder H, Soranzo N, Sørensen TI, Sovio U, Spector TD, Speliotes EK, Stančáková A, Stark K, Stefansson K, Steinthorsdottir V, Stephens JC, Stirrups K, Stolk RP, Strachan DP, Strawbridge RJ, Stringham HM, Stumvoll M, Surakka I, Swift AJ, Syvanen AC, Tammesoo ML, Teder Laving M, Teslovich TM, Teumer A, Theodoraki EV, Thomson B, Thorand B, Thorleifsson G, Thorsteinsdottir U, Timpson NJ, Tönjes A, Tregouet DA, Tremoli E, Trip MD, Tuomi T, Tuomilehto J, Tyrer J, Uda M, Uitterlinden AG, Usala G, Uusitupa M, Valle TT, Vandenput L, Vatin V, Vedantam S, de Vegt F, Vermeulen SH, Viikari J, Virtamo J, Visscher PM, Vitart V, Van Vliet Ostaptchouk JV, Voight BF, Vollenweider P, Volpato CB, Völzke H, Waeber G, Waite LL, Wallaschofski H, Walters GB, Wang Z, Wareham NJ, Watanabe RM, Watkins H, Weedon MN, Welch R, Weyant RJ, Wheeler E, White CC, Wichmann HE, Widen E, Wild SH, Willemsen G, Willer CJ, Wilsgaard T, Wilson JF, van Wingerden S, Winkelmann BR, Winkler TW, Witte DR, Witteman JC, Wolffenbuttel BH, Wong A, Wood AR, Workalemahu T, Wright AF, Yang J, Yarnell JW, Zgaga L, Zhao JH, Zillikens MC, Zitting P, Zondervan KT, Life Course Epidemiology (LCE), Lifestyle Medicine (LM), Center for Liver, Digestive and Metabolic Diseases (CLDM), Winkler, T, Day, F, Croteau Chonka, D, Wood, A, Locke, A, Mägi, R, Ferreira, T, Fall, T, Graff, M, Justice, A, Luan, J, Gustafsson, S, Randall, J, Vedantam, S, Workalemahu, T, Kilpeläinen, T, Scherag, A, Esko, T, Kutalik, Z, Heid, I, Loos, R, Abecasis, G, Absher, D, Alavere, H, Albrecht, E, Allen, H, Almgren, P, Amin, N, Amouyel, P, Anderson, D, Arnold, A, Arveiler, D, Aspelund, T, Asselbergs, F, Assimes, T, Atalay, M, Attwood, A, Atwood, L, Bakker, S, Balkau, B, Balmforth, A, Barlassina, C, Barroso, I, Basart, H, Bauer, S, Beckmann, J, Beilby, J, Bennett, A, Ben Shlomo, Y, Bergman, R, Bergmann, S, Berndt, S, Biffar, R, Di Blasio, A, Boehm, B, Boehnke, M, Boeing, H, Boerwinkle, E, Bolton, J, Bonnefond, A, Bonnycastle, L, Boomsma, D, Borecki, I, Bornstein, S, Bouatia Naji, N, Boucher, G, Bragg Gresham, J, Brambilla, P, Bruinenberg, M, Buchanan, T, Buechler, C, Cadby, G, Campbell, H, Caulfield, M, Cavalcanti Proença, C, Cesana, G, Chanock, S, Chasman, D, Chen, Y, Chines, P, Clegg, D, Coin, L, Collins, F, Connell, J, Cookson, W, Cooper, M, Cupples, L, Cusi, D, Day, I, Dedoussis, G, Dei, M, Deloukas, P, Dermitzakis, E, Dimas, A, Dimitriou, M, Dixon, A, Dörr, M, van Duijn, C, Ebrahim, S, Edkins, S, Eiriksdottir, G, Eisinger, K, Eklund, N, Elliott, P, Erbel, R, Erdmann, J, Erdos, M, Eriksson, J, Estrada, K, Evans, D, de Faire, U, Farrall, M, Feitosa, M, Ferrario, M, Ferrières, J, Fischer, K, Fisher, E, Fowkes, G, Fox, C, Franke, L, Franks, P, Fraser, R, Frau, F, Frayling, T, Freimer, N, Froguel, P, Fu, M, Gaget, S, Ganna, A, Gejman, P, Gentilini, D, Geus, E, Gieger, C, Gigante, B, Gjesing, A, Glazer, N, Goddard, M, Goel, A, Grallert, H, Gräßler, J, Grönberg, H, Groop, L, Groves, C, Gudnason, V, Guiducci, C, Gyllensten, U, Hall, A, Hall, P, Hallmans, G, Hamsten, A, Hansen, T, Haritunians, T, Harris, T, van der Harst, P, Hartikainen, A, Hassanali, N, Hattersley, A, Havulinna, A, Hayward, C, Heard Costa, N, Heath, A, Hebebrand, J, den Heijer, M, Hengstenberg, C, Herzig, K, Hicks, A, Hingorani, A, Hinney, A, Hirschhorn, J, Hofman, A, Holmes, C, Homuth, G, Hottenga, J, Hovingh, K, Hu, F, Hu, Y, Huffman, J, Hui, J, Huikuri, H, Humphries, S, Hung, J, Hunt, S, Hunter, D, Hveem, K, Hyppönen, E, Igl, W, Illig, T, Ingelsson, E, Iribarren, C, Isomaa, B, Jackson, A, Jacobs, K, James, A, Jansson, J, Jarick, I, Jarvelin, M, Jöckel, K, Johansson, Å, Johnson, T, Jolley, J, Jørgensen, T, Jousilahti, P, Jula, A, Kaakinen, M, Kähönen, M, Kajantie, E, Kanoni, S, Kao, W, Kaplan, L, Kaplan, R, Kaprio, J, Kapur, K, Karpe, F, Kathiresan, S, Kee, F, Keinanen Kiukaanniemi, S, Ketkar, S, Kettunen, J, Khaw, K, Kiemeney, L, Kinnunen, L, Kivimaki, M, Kivmaki, M, Van der Klauw, M, Kleber, M, Knowles, J, Koenig, W, Kolcic, I, Kolovou, G, König, I, Koskinen, S, Kovacs, P, Kraft, P, Kraja, A, Kristiansson, K, Krjutåjkov, K, Kroemer, H, Krohn, J, Krzelj, V, Kuh, D, Kulzer, J, Kumari, M, Kuulasmaa, K, Kuusisto, J, Kvaloy, K, Laakso, M, Laitinen, J, Lakka, T, Lamina, C, Langenberg, C, Lantieri, O, Lathrop, G, Launer, L, Lawlor, D, Lawrence, R, Leach, I, Lecoeur, C, Lee, S, Lehtimäki, T, Leitzmann, M, Lettre, G, Levinson, D, Li, G, Li, S, Liang, L, Lin, D, Lind, L, Lindgren, C, Lindström, J, Liu, J, Liuzzi, A, Lokki, M, Loley, C, Lorentzon, M, Luben, R, Ludwig, B, Madden, P, Magnusson, P, Mangino, M, Manunta, P, Marek, D, Marre, M, Martin, N, März, W, Maschio, A, Mathieson, I, Mcardle, W, Mccaroll, S, Mccarthy, A, Mccarthy, M, Mcknight, B, Medina Gomez, C, Medland, S, Meitinger, T, Metspalu, A, van Meurs, J, Meyre, D, Midthjell, K, Mihailov, E, Milani, L, Min, J, Moebus, S, Moffatt, M, Mohlke, K, Molony, C, Monda, K, Montgomery, G, Mooser, V, Morken, M, Morris, A, Mühleisen, T, Müller Nurasyid, M, Munroe, P, Musk, A, Narisu, N, Navis, G, Neale, B, Nelis, M, Nemesh, J, Neville, M, Ngwa, J, Nicholson, G, Nieminen, M, Njølstad, I, Nohr, E, Nolte, I, North, K, Nöthen, M, Nyholt, D, O'Connell, J, Ohlsson, C, Oldehinkel, A, van Ommen, G, Ong, K, Oostra, B, Ouwehand, W, Palmer, C, Palmer, L, Palotie, A, Paré, G, Parker, A, Paternoster, L, Pawitan, Y, Pechlivanis, S, Peden, J, Pedersen, N, Pedersen, O, Pellikka, N, Peltonen, L, Penninx, B, Perola, M, Perry, J, Person, T, Peters, A, Peters, M, Pichler, I, Pietiläinen, K, Platou, C, Polasek, O, Pouta, A, Power, C, Pramstaller, P, Preuss, M, Price, J, Prokopenko, I, Province, M, Psaty, B, Purcell, S, Pütter, C, Qi, L, Quertermous, T, Radhakrishnan, A, Raitakari, O, Rauramaa, R, Rayner, N, Rehnberg, E, Rendon, A, Ridderstråle, M, Ridker, P, Ripatti, S, Rissanen, A, Rivadeneira, F, Rivolta, C, Robertson, N, Rose, L, Rudan, I, Saaristo, T, Sager, H, Salomaa, V, Samani, N, Sambrook, J, Sanders, A, Sandholt, C, Sanna, S, Saramies, J, Schadt, E, Schipf, S, Schlessinger, D, Schreiber, S, Schunkert, H, Schwarz, P, Scott, L, Shi, J, Shin, S, Shuldiner, A, Shungin, D, Signorini, S, Silander, K, Sinisalo, J, Skrobek, B, Smit, J, Smith, A, Smith, G, Snieder, H, Soranzo, N, Sørensen, T, Sovio, U, Spector, T, Speliotes, E, Stančáková, A, Stark, K, Stefansson, K, Steinthorsdottir, V, Stephens, J, Stirrups, K, Stolk, R, Strachan, D, Strawbridge, R, Stringham, H, Stumvoll, M, Surakka, I, Swift, A, Syvanen, A, Tammesoo, M, Teder Laving, M, Teslovich, T, Teumer, A, Theodoraki, E, Thomson, B, Thorand, B, Thorleifsson, G, Thorsteinsdottir, U, Timpson, N, Tönjes, A, Tregouet, D, Tremoli, E, Trip, M, Tuomi, T, Tuomilehto, J, Tyrer, J, Uda, M, Uitterlinden, A, Usala, G, Uusitupa, M, Valle, T, Vandenput, L, Vatin, V, de Vegt, F, Vermeulen, S, Viikari, J, Virtamo, J, Visscher, P, Vitart, V, Van Vliet Ostaptchouk, J, Voight, B, Vollenweider, P, Volpato, C, Völzke, H, Waeber, G, Waite, L, Wallaschofski, H, Walters, G, Wang, Z, Wareham, N, Watanabe, R, Watkins, H, Weedon, M, Welch, R, Weyant, R, Wheeler, E, White, C, Wichmann, H, Widen, E, Wild, S, Willemsen, G, Willer, C, Wilsgaard, T, Wilson, J, van Wingerden, S, Winkelmann, B, Witte, D, Witteman, J, Wolffenbuttel, B, Wong, A, Wright, A, Yang, J, Yarnell, J, Zgaga, L, Zhao, J, Zillikens, M, Zitting, P, Zondervan, K, Psychiatry, EMGO - Mental health, Plastic, Reconstructive and Hand Surgery, ACS - Amsterdam Cardiovascular Sciences, Vascular Medicine, Cardiology, Biological Psychology, EMGO+ - Mental Health, Genetic Investigation of Anthropometric Traits (GIANT) Consortium, Abecasis, GR., Absher, D., Alavere, H., Albrecht, E., Allen, HL., Almgren, P., Amin, N., Amouyel, P., Anderson, D., Arnold, AM., Arveiler, D., Aspelund, T., Asselbergs, FW., Assimes, TL., Atalay, M., Attwood, AP., Atwood, LD., Bakker, SJ., Balkau, B., Balmforth, AJ., Barlassina, C., Barroso£££Inês£££ I., Basart, H., Bauer, S., Beckmann, JS., Beilby, JP., Bennett, AJ., Ben-Shlomo, Y., Bergman, RN., Bergmann, S., Berndt, SI., Biffar, R., Di Blasio AM., Boehm, BO., Boehnke, M., Boeing, H., Boerwinkle, E., Bolton, JL., Bonnefond, A., Bonnycastle, LL., Boomsma, DI., Borecki, IB., Bornstein, SR., Bouatia-Naji, N., Boucher, G., Bragg-Gresham, JL., Brambilla, P., Bruinenberg, M., Buchanan, TA., Buechler, C., Cadby, G., Campbell, H., Caulfield, MJ., Cavalcanti-Proença, C., Cesana, G., Chanock, SJ., Chasman, DI., Chen, YD., Chines, PS., Clegg, DJ., Coin, L., Collins, FS., Connell, JM., Cookson, W., Cooper, MN., Croteau-Chonka, DC., Cupples, LA., Cusi, D., Day, FR., Day, IN., Dedoussis, GV., Dei, M., Deloukas, P., Dermitzakis, ET., Dimas, AS., Dimitriou, M., Dixon, AL., Dörr, M., van Duijn CM., Ebrahim, S., Edkins, S., Eiriksdottir, G., Eisinger, K., Eklund, N., Elliott, P., Erbel, R., Erdmann, J., Erdos, MR., Eriksson, JG., Esko£££Tõnu£££ T., Estrada, K., Evans, DM., de Faire, U., Fall, T., Farrall, M., Feitosa, MF., Ferrario, MM., Ferreira, T., Ferrières, J., Fischer, K., Fisher, E., Fowkes, G., Fox, CS., Franke, L., Franks, PW., Fraser, RM., Frau, F., Frayling, T., Freimer, NB., Froguel, P., Fu, M., Gaget, S., Ganna, A., Gejman, PV., Gentilini, D., Geus, EJ., Gieger, C., Gigante, B., Gjesing, AP., Glazer, NL., Goddard, ME., Goel, A., Grallert, H., Gräßler, J., Grönberg, H., Groop, LC., Groves, CJ., Gudnason, V., Guiducci, C., Gustafsson, S., Gyllensten, U., Hall, AS., Hall, P., Hallmans, G., Hamsten, A., Hansen, T., Haritunians, T., Harris, TB., van der Harst, P., Hartikainen, AL., Hassanali, N., Hattersley, AT., Havulinna, AS., Hayward, C., Heard-Costa, NL., Heath, AC., Hebebrand, J., Heid, IM., den Heijer, M., Hengstenberg, C., Herzig, KH., Hicks, AA., Hingorani, A., Hinney, A., Hirschhorn, JN., Hofman, A., Holmes, CC., Homuth, G., Hottenga, JJ., Hovingh, KG., Hu, FB., Hu, YJ., Huffman, JE., Hui, J., Huikuri, H., Humphries, SE., Hung, J., Hunt, SE., Hunter, D., Hveem, K., Hyppönen, E., Igl, W., Illig, T., Ingelsson, E., Iribarren, C., Isomaa, B., Jackson, AU., Jacobs, KB., James, AL., Jansson, JO., Jarick, I., Jarvelin, MR., Jöckel, KH., Johansson£££Åsa£££ Å., Johnson, T., Jolley, J., Jørgensen, T., Jousilahti, P., Jula, A., Justice, AE., Kaakinen, M., Kähönen, M., Kajantie, E., Kanoni, S., Kao, WH., Kaplan, LM., Kaplan, RC., Kaprio, J., Kapur, K., Karpe, F., Kathiresan, S., Kee, F., Keinanen-Kiukaanniemi, SM., Ketkar, S., Kettunen, J., Khaw, KT., Kiemeney, LA., Kilpeläinen, TO., Kinnunen, L., Kivimaki, M., Kivmaki, M., Van der Klauw MM., Kleber, ME., Knowles, JW., Koenig, W., Kolcic, I., Kolovou, G., König, IR., Koskinen, S., Kovacs, P., Kraft, P., Kraja, AT., Kristiansson, K., KrjutÅjkov, K., Kroemer, HK., Krohn, JP., Krzelj, V., Kuh, D., Kulzer, JR., Kumari, M., Kutalik£££Zoltán£££ Z., Kuulasmaa, K., Kuusisto, J., Kvaloy, K., Laakso, M., Laitinen, JH., Lakka, TA., Lamina, C., Langenberg, C., Lantieri, O., Lathrop, GM., Launer, LJ., Lawlor, DA., Lawrence, RW., Leach, IM., Lecoeur, C., Lee, SH., Lehtimäki, T., Leitzmann, MF., Lettre, G., Levinson, DF., Li, G., Li, S., Liang, L., Lin, DY., Lind, L., Lindgren, CM., Lindström, J., Liu, J., Liuzzi, A., Locke, AE., Lokki, ML., Loley, C., Loos, RJ., Lorentzon, M., Luan£££Jian'an£££ J., Luben, RN., Ludwig, B., Madden, PA., Mägi, R., Magnusson, PK., Mangino, M., Manunta, P., Marek, D., Marre, M., Martin, NG., März, W., Maschio, A., Mathieson, I., McArdle, WL., McCaroll, SA., McCarthy, A., McCarthy, MI., McKnight, B., Medina-Gomez, C., Medland, SE., Meitinger, T., Metspalu, A., van Meurs JB., Meyre, D., Midthjell, K., Mihailov, E., Milani, L., Min, JL., Moebus, S., Moffatt, MF., Mohlke, KL., Molony, C., Monda, KL., Montgomery, GW., Mooser, V., Morken, MA., Morris, AD., Morris, AP., Mühleisen, TW., Müller-Nurasyid, M., Munroe, PB., Musk, AW., Narisu, N., Navis, G., Neale, BM., Nelis, M., Nemesh, J., Neville, MJ., Ngwa, JS., Nicholson, G., Nieminen, MS., Njølstad, I., Nohr, EA., Nolte, IM., North, KE., Nöthen, MM., Nyholt, DR., O'Connell, JR., Ohlsson, C., Oldehinkel, AJ., van Ommen GJ., Ong, KK., Oostra, BA., Ouwehand, WH., Palmer, CN., Palmer, LJ., Palotie, A., Paré, G., Parker, AN., Paternoster, L., Pawitan, Y., Pechlivanis, S., Peden, JF., Pedersen, NL., Pedersen, O., Pellikka, N., Peltonen, L., Penninx, B., Perola, M., Perry, JR., Person, T., Peters, A., Peters, MJ., Pichler, I., Pietiläinen, KH., Platou, CG., Polasek, O., Pouta, A., Power, C., Pramstaller, PP., Preuss, M., Price, JF., Prokopenko, I., Province, MA., Psaty, BM., Purcell, S., Pütter, C., Qi, L., Quertermous, T., Radhakrishnan, A., Raitakari, O., Randall, JC., Rauramaa, R., Rayner, NW., Rehnberg, E., Rendon, A., Ridderstråle, M., Ridker, PM., Ripatti, S., Rissanen, A., Rivadeneira, F., Rivolta, C., Robertson, NR., Rose, LM., Rudan, I., Saaristo, TE., Sager, H., Salomaa, V., Samani, NJ., Sambrook, JG., Sanders, AR., Sandholt, C., Sanna, S., Saramies, J., Schadt, EE., Scherag, A., Schipf, S., Schlessinger, D., Schreiber, S., Schunkert, H., Schwarz, PE., Scott, LJ., Shi, J., Shin, SY., Shuldiner, AR., Shungin, D., Signorini, S., Silander, K., Sinisalo, J., Skrobek, B., Smit, JH., Smith, AV., Smith, GD., Snieder, H., Soranzo, N., Sørensen, TI., Sovio, U., Spector, TD., Speliotes, EK., Stančáková, A., Stark, K., Stefansson, K., Steinthorsdottir, V., Stephens, JC., Stirrups, K., Stolk, RP., Strachan, DP., Strawbridge, RJ., Stringham, HM., Stumvoll, M., Surakka, I., Swift, AJ., Syvanen, AC., Tammesoo, ML., Teder-Laving, M., Teslovich, TM., Teumer, A., Theodoraki, EV., Thomson, B., Thorand, B., Thorleifsson, G., Thorsteinsdottir, U., Timpson, NJ., Tönjes, A., Tregouet, DA., Tremoli, E., Trip, MD., Tuomi, T., Tuomilehto, J., Tyrer, J., Uda, M., Uitterlinden, AG., Usala, G., Uusitupa, M., Valle, TT., Vandenput, L., Vatin, V., Vedantam, S., de Vegt, F., Vermeulen, SH., Viikari, J., Virtamo, J., Visscher, PM., Vitart, V., Van Vliet-Ostaptchouk JV., Voight, BF., Vollenweider, P., Volpato, CB., Völzke, H., Waeber, G., Waite, LL., Wallaschofski, H., Walters, GB., Wang, Z., Wareham, NJ., Watanabe, RM., Watkins, H., Weedon, MN., Welch, R., Weyant, RJ., Wheeler, E., White, CC., Wichmann, HE., Widen, E., Wild, SH., Willemsen, G., Willer, CJ., Wilsgaard, T., Wilson, JF., van Wingerden, S., Winkelmann, BR., Winkler, TW., Witte, DR., Witteman, JC., Wolffenbuttel, BH., Wong, A., Wood, AR., Workalemahu, T., Wright, AF., Yang, J., Yarnell, JW., Zgaga, L., Zhao, JH., Zillikens, MC., Zitting, P., and Zondervan, KT.
- Subjects
Quality Control ,Netherlands Twin Register (NTR) ,BIO/12 - BIOCHIMICA CLINICA E BIOLOGIA MOLECOLARE CLINICA ,media_common.quotation_subject ,quality control, GWAMAS ,Control (management) ,Medizin ,Genome-wide association study ,Biology ,Bioinformatics ,General Biochemistry, Genetics and Molecular Biology ,Article ,03 medical and health sciences ,0302 clinical medicine ,Software ,SDG 17 - Partnerships for the Goals ,Meta-Analysis as Topic ,Comparable size ,Quality (business) ,030304 developmental biology ,media_common ,Protocol (science) ,0303 health sciences ,business.industry ,Software package ,Data science ,Urological cancers Radboud Institute for Health Sciences [Radboudumc 15] ,Genome-Wide Association Study/methods ,Inflammatory diseases Radboud Institute for Health Sciences [Radboudumc 5] ,quality control ,genome-wide association meta-analyses ,business ,030217 neurology & neurosurgery ,Genome-Wide Association Study - Abstract
Item does not contain fulltext Rigorous organization and quality control (QC) are necessary to facilitate successful genome-wide association meta-analyses (GWAMAs) of statistics aggregated across multiple genome-wide association studies. This protocol provides guidelines for (i) organizational aspects of GWAMAs, and for (ii) QC at the study file level, the meta-level across studies and the meta-analysis output level. Real-world examples highlight issues experienced and solutions developed by the GIANT Consortium that has conducted meta-analyses including data from 125 studies comprising more than 330,000 individuals. We provide a general protocol for conducting GWAMAs and carrying out QC to minimize errors and to guarantee maximum use of the data. We also include details for the use of a powerful and flexible software package called EasyQC. Precise timings will be greatly influenced by consortium size. For consortia of comparable size to the GIANT Consortium, this protocol takes a minimum of about 10 months to complete.
- Published
- 2014
- Full Text
- View/download PDF
49. Very high-risk familial hypercholesterolaemia patients in real life: The remaining gap in achieving the current LDL-C targets despite the use of PCSK9 inhibitors
- Author
-
Rallidis, L.S. Liberopoulos, E.N. Vlachopoulos, C. Skoumas, I. Kolovou, G. Anastasiou, G. Dima, I. Tousoulis, D. Iliodromitis, E. and Rallidis, L.S. Liberopoulos, E.N. Vlachopoulos, C. Skoumas, I. Kolovou, G. Anastasiou, G. Dima, I. Tousoulis, D. Iliodromitis, E.
- Published
- 2020
50. Pathophysiology of dyslipidaemia in the metabolic syndrome
- Author
-
Kolovou, G D, Anagnostopoulou, K K, and Cokkinos, D V
- Published
- 2005
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.