790 results on '"Kavousi, M."'
Search Results
2. Sex-related differences in coronary and carotid vessel geometry, plaque composition and shear stress obtained from imaging
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Wentzel, J.J., Bos, D., White, S.J., van der Heiden, K., Kavousi, M., and Evans, P.C.
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- 2024
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3. Life expectancy associated with different ages at diagnosis of type 2 diabetes in high-income countries: 23 million person-years of observation
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Kaptoge, S, Seshasai, SRK, Sun, L, Walker, M, Bolton, T, Spackman, S, Ataklte, F, Willeit, P, Bell, S, Burgess, S, Pennells, L, Altay, S, Assmann, G, Ben-Shlomo, Y, Best, LG, Björkelund, C, Blazer, DG, Brenner, H, Brunner, EJ, Dagenais, GR, Cooper, JA, Cooper, C, Crespo, CJ, Cushman, M, D'Agostino, RB, Sr, Daimon, M, Daniels, LB, Danker, R, Davidson, KW, de Jongh, RT, Donfrancesco, C, Ducimetiere, P, Elders, PJM, Engström, G, Ford, I, Gallacher, I, Bakker, SJL, Goldbourt, U, de La Cámara, G, Grimsgaard, S, Gudnason, V, Hansson, PO, Imano, H, Jukema, JW, Kabrhel, C, Kauhanen, J, Kavousi, M, Kiechl, S, Knuiman, MW, Kromhout, D, Krumholz, HM, Kuller, LH, Laatikainen, T, Lowler, DA, Meyer, HE, Mukamal, K, Nietert, PJ, Ninomiya, T, Nitsch, D, Nordestgaard, BG, Palmieri, L, Price, JF, Ridker, PM, Sun, Q, Rosengren, A, Roussel, R, Sakurai, M, Salomaa, V, Schöttker, B, Shaw, JE, Strandberg, TE, Sundström, J, Tolonen, H, Tverdal, A, Verschuren, WMM, Völzke, H, Wagenknecht, L, Wallace, RB, Wannamethee, SG, Wareham, NJ, Wassertheil-Smoller, S, Yamagishi, K, Yeap, BB, Harrison, S, Inouye, M, Griffin, S, Butterworth, AS, Wood, AM, Thompson, SG, Sattar, N, Danesh, J, Di Angelantonio, E, Tipping, RW, Russell, S, Johansen, M, Bancks, MP, Mongraw-Chaffin, M, Magliano, D, Barr, ELM, Zimmet, PZ, Whincup, PH, Willeit, J, Leitner, C, Lawlor, DA, Elwood, P, Sutherland, SE, Hunt, KJ, Selmer, RM, Haheim, LL, Ariansen, I, Tybjaer-Hansen, A, Frikkle-Schmidt, R, Langsted, A, Lo Noce, C, Balkau, B, Bonnet, F, Fumeron, F, Pablos, DL, Ferro, CR, Morales, TG, Mclachlan, S, Guralnik, J, Khaw, KT, Holleczek, B, Stocker, H, Nissinen, A, Vartiainen, E, Jousilahti, P, Harald, K, Massaro, JM, Pencina, M, Lyass, A, Susa, S, Oizumi, T, Kayama, T, Chetrit, A, Roth, J, Orenstein, L, Welin, L, Svärdsudd, K, Lissner, L, Hange, D, Mehlig, K, Tilvis, RS, Dennison, E, Westbury, L, Norman, PE, Almeida, OP, Hankey, GJ, Hata, J, Shibata, M, Furuta, Y, Bom, MT, Rutters, F, Muilwijk, M, Kraft, P, Lindstrom, S, Turman, C, Kiyama, M, Kitamura, A, Gerber, Y, Salonen, JT, van Schoor, LN, van Zutphen, EM, Melander, O, Psaty, BM, Blaha, M, de Boer, IH, Kronmal, RA, Grandits, G, Shin, H-C, Albertorio, JR, Gillum, RF, Hu, FB, Humphries, S, Hill- Briggs, F, Vrany, E, Butler, M, Schwartz, JE, Iso, H, Amouyel, P, Arveiler, D, Ferrieres, J, Gansevoort, RT, de Boer, R, Kieneker, L, Trompet, S, Kearney, P, Cantin, B, Després, JP, Lamarche, B, Laughlin, G, McEvoy, L, Aspelund, T, Thorsson, B, Sigurdsson, G, Tilly, M, Ikram, MA, Dorr, M, Schipf, S, Fretts, AM, Umans, JG, Ali, T, Shara, N, Davey-Smith, G, Can, G, Yüksel, H, Özkan, U, Nakagawa, H, Morikawa, Y, Ishizaki, M, Njølstad, I, Wilsgaard, T, Mathiesen, E, Buring, J, Cook, N, Arndt, V, Rothenbacher, D, Manson, J, Tinker, L, Shipley, M, Tabak, AG, Kivimaki, M, Packard, C, Robertson, M, Feskens, E, and Geleijnse, M
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- 2023
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4. Sex-related differences in coronary and carotid vessel geometry, plaque composition and shear stress obtained from imaging
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Wentzel, J. J., Bos, D., White, S. J., van der Heiden, K., Kavousi, M., Evans, P. C., Wentzel, J. J., Bos, D., White, S. J., van der Heiden, K., Kavousi, M., and Evans, P. C.
- Abstract
Atherosclerosis manifests itself differently in men and women with respect to plaque initiation, progression and plaque composition. The observed delay in plaque progression in women is thought to be related to the hormonal status of women. Also features associated with the vulnerability of plaques to rupture seem to be less frequently present in women compared to men. Current invasive and non-invasive imaging modalities allow for visualization of plaque size, composition and high risk vulnerable plaque features. Moreover, image based modeling gives access to local shear stress and shear stress-related plaque growth. In this review, current knowledge on sex-related differences in plaque size, composition, high risk plaque features and shear stress related plaque growth in carotid and coronary arteries obtained from imaging are summarized.
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- 2024
5. Secapin: a promising antimicrobial peptide against multidrug-resistant Acinetobacter baumannii
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Sadeghi Rad, Z, Farahmand, M, Kavousi, M, Sadeghi Rad, Z, Farahmand, M, and Kavousi, M
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Introduction: Acinetobacter baumannii , renowned for its exceptional multidrug resistance and its role as a prevalent nosocomial pathogen, poses a formidable challenge to conventional antibiotic therapies. The primary objective of this investigation was to evaluate the efficacy of Secapin, an antimicrobial peptide, against multidrug-resistant (MDR) baumannii . Furthermore, the mechanisms underlying Secapin's antibacterial and antibiofilm activities were elucidated.Methods: The antimicrobial and antibiofilm effectiveness of Secapin against MDR A. baumannii was assessed through a series of experiments. The minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC) of Secapin were determined using established protocols. Time-kill kinetic analysis was performed to assess the concentration-dependent bactericidal effect of Secapin. Additionally, the capacity of Secapin to impede biofilm formation and eradicate A. b aumannii biofilms was investigated. Hemolytic potential was evaluated using human red blood cells, while mammalian cell viability was examined at varying Secapin concentrations.Results: Secapin exhibited robust bactericidal activity at minimal concentrations, with an MIC of 5 µg/mL and an MBC of 10 µg/mL against MDR A. baumannii . The time-kill kinetic analysis confirmed the concentration-dependent efficacy of Secapin in diminishing bacterial viability. Moreover, Secapin demonstrated the ability to prevent biofilm formation and eliminate established A. baumannii biofilms. Notably, Secapin exhibited no hemolytic activity and preserved mammalian cell viability up to a concentration of 100 µg/mL.Conclusion: These findings underscore the substantial potential of Secapin as a potent agent against multidrug-resistant A. baumannii , showcasing its efficacy in both antibacterial and antibiofilm capacities. The favorable attributes of Secapin, characterized by its minimal hemolytic effects and high mammalian cell viability, position it as a prom, Hintergrund: Acinetobacter baumannii , bekannt für seine außergewöhnliche Multiresistenz und seine Rolle als häufiger nosokomialer Erreger, stellt eine Herausforderung für herkömmliche Antibiotikabehandlungen dar. Das Hauptziel dieser Studie war es, die Wirksamkeit von Secapin, einem antimikrobiellen Peptid, gegen multiresistente A. baumannii zu bewerten. Darüber hinaus wurden die Mechanismen, durch die Secapin seine antibakterielle und antibiofilmbildende Aktivitäten entfaltet, aufgeklärt.Methoden: Die antimikrobielle und antibiofilmbildende Wirksamkeit von Secapin gegen MDR A. baumannii wurde in einer Reihe von Experimenten untersucht. Die minimale Hemmkonzentration (MIC) und die minimale bakterizide Konzentration (MBC) von Secapin wurden unter Verwendung etablierter Protokolle bestimmt. Es wurde eine zeitabhängige Abtötungskinetik ermittelt, um die konzentrationsabhängige bakterizide Wirkung von Secapin zu bewerten. Darüber hinaus wurde die Fähigkeit von Secapin, die Bildung von Biofilmen zu hemmen und etablierte A. baumannii -Biofilme zu beseitigen, untersucht. Das hämolytische Potenzial wurde unter Verwendung von menschlichen roten Blutkörperchen bewertet, während die Lebensfähigkeit von Säugetierzellen bei verschiedenen Secapin-Konzentrationen untersucht wurde.Ergebnisse: Secapin zeigte eine starke bakterizide Aktivität bei geringen Konzentrationen mit einer MIC von 5 µg/mL und einer MBC von 10 µg/mL gegen MDR A. baumannii . Die zeitabhängige Abtötungskinetik bestätigte die konzentrationsabhängige Wirksamkeit von Secapin. Darüber hinaus zeigte Secapin die Fähigkeit, die Bildung von Biofilmen zu verhindern und etablierte A. baumannii -Biofilme zu eliminieren. Bemerkenswert ist, dass Secapin keine hämolytische Aktivität aufwies und die Lebensfähigkeit von Säugetierzellen bis zu einer Konzentration von 100 µg/mL aufrechterhielt.Fazit: Die Ergebnisse unterstreichen das erhebliche Potenzial von Secapin als wirksames Mittel gegen multiresistente A. baumannii sowohl
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- 2024
6. Predictive value of updating framingham risk scores with novel risk markers in the U.S. general population
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Max, Wendy, Fleischmann, Kirsten, Ferket, BS, Van, BJH, Hunink, MGM, Agarwal, I, Kavousi, M, Franco, OH, Steyerberg, EW, and Fleischmann, KE
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Background: According to population-based cohort studies CT coronary calcium score (CTCS), carotid intima-media thickness (cIMT), high-sensitivity C- reactive protein (CRP), and ankle-brachial index (ABI) are promising novel risk markers for improving card
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- 2014
7. Prevalence of traditional cardiovascular risk factors in subjects with unrecognized myocardial infarction: a systematic review and meta-analysis
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Van Oortmerssen, J A E, primary, Ntlapo, N, additional, Tilly, M J, additional, Boersma, E, additional, Roeters Van Lennep, J E, additional, and Kavousi, M, additional
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- 2023
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8. Development of a prediction model for future risk of radiographic hip osteoarthritis
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Saberi Hosnijeh, F., Kavousi, M., Boer, C.G., Uitterlinden, A.G., Hofman, A., Reijman, M., Oei, E.H.G., Bierma-Zeinstra, S.M., and van Meurs, J.B.J.
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- 2018
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9. Genetics of coronary artery calcification among African Americans, a meta-analysis
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Wojczynski, MK, Li, M, Bielak, LF, Kerr, KF, Reiner, AP, Wong, ND, Yanek, LR, Qu, L, White, CC, Lange, LA, Ferguson, JF, He, J, Young, T, Mosley, TH, Smith, JA, Kral, BG, Guo, X, Wong, Q, Ganesh, SK, Heckbert, SR, Griswold, ME, O'Leary, DH, Budoff, M, Carr, JJ, Taylor, HA, Bluemke, DA, Demissie, S, Hwang, SJ, Paltoo, DN, Polak, JF, Psaty, BM, Becker, DM, Province, MA, Post, WS, O'Donnell, CJ, Wilson, JG, Harris, TB, Kavousi, M, Cupples, LA, Rotter, JI, Fornage, M, Becker, LC, Peyser, PA, Borecki, IB, and Reilly, MP
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Background: Coronary heart disease (CHD) is the major cause of death in the United States. Coronary artery calcification (CAC) scores are independent predictors of CHD. African Americans (AA) have higher rates of CHD but are less well-studied in genomic studies. We assembled the largest AA data resource currently available with measured CAC to identify associated genetic variants.Methods: We analyzed log transformed CAC quantity (ln(CAC + 1)), for association with ~2.5 million single nucleotide polymorphisms (SNPs) and performed an inverse-variance weighted meta-analysis on results for 5,823 AA from 8 studies. Heritability was calculated using family studies. The most significant SNPs among AAs were evaluated in European Ancestry (EA) CAC data; conversely, the significance of published SNPs for CAC/CHD in EA was queried within our AA meta-analysis.Results: Heritability of CAC was lower in AA (~30%) than previously reported for EA (~50%). No SNP reached genome wide significance (p < 5E-08). Of 67 SNPs with p < 1E-05 in AA there was no evidence of association in EA CAC data. Four SNPs in regions previously implicated in CAC/CHD (at 9p21 and PHACTR1) in EA reached nominal significance for CAC in AA, with concordant direction. Among AA, rs16905644 (p = 4.08E-05) had the strongest association in the 9p21 region.Conclusions: While we observed substantial heritability for CAC in AA, we failed to identify loci for CAC at genome-wide significant levels despite having adequate power to detect alleles with moderate to large effects. Although suggestive signals in AA were apparent at 9p21 and additional CAC and CAD EA loci, overall the data suggest that even larger samples and an ethnic specific focus will be required for GWAS discoveries for CAC in AA populations. © 2013 Wojczynski et al.; licensee BioMed Central Ltd.
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- 2013
10. Questionnaire survey on cardiologists’ view and management of coronary microvascular disease in clinical practice
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Aribas, E., Elias-Smale, S. E., Duncker, D. J., Piek, J. J., Ikram, M. A., Appelman, Y., Roeters van Lennep, J. E., and Kavousi, M.
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- 2019
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11. Thyroid function and atrial fibrillation: Is there a mediating role for epicardial adipose tissue?
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Bos D, Bano A, Hofman A, VanderWeele TJ, Kavousi M, Franco OH, Vernooij MW, Peeters RP, Ikram MA, and Chaker L
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thyroid function ,epicardial fat ,atrial fibrillation ,causal mediation analysis ,Infectious and parasitic diseases ,RC109-216 - Abstract
Daniel Bos,1–3,* Arjola Bano,2,4,5,* Albert Hofman,1,2 Tyler J VanderWeele,1 Maryam Kavousi,2 Oscar H Franco,2 Meike W Vernooij,2,3 Robin P Peeters,2,4,5 M Arfan Ikram,1,2 Layal Chaker,1,2,4,5 1Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; 2Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands; 3Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands; 4Academic Center for Thyroid Diseases, Erasmus MC, Rotterdam, The Netherlands; 5Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands *These authors contributed equally to this work Background: The underlying mechanism of the association between thyroid function and atrial fibrillation (AF) is poorly understood, but epicardial adipose tissue (EAT) could be a promising mediator.Methods: In the 1995 participants (mean age 64.5 years) from the population-based Rotterdam Study, we measured thyroid function (thyroid-stimulating hormone, free thyroxine [FT4]) and performed computed tomography to quantify EAT volumes. All participants were followed for the occurrence of AF. We assessed associations of thyroid-stimulating hormone and FT4 with EAT and AF and performed causal mediation analysis to decompose the overall effect of thyroid function on AF with EAT as mediator.Results: Higher FT4 levels were associated with larger EAT volumes in persons with large waist circumferences, defined by sex-specific cutoffs (0.08 mL more EAT per 1-SD increase in FT4, 95% CI: 0.02, 0.14), but not in persons with a normal waist circumference. In persons with a large waist circumference, higher FT4 levels were associated with a higher AF risk (hazard ratio 1.50, 95% CI: 1.22, 1.83). We found no evidence of a mediating role of EAT in the association of thyroid function with AF (mediated interaction 1.6%, pure indirect effect 3.2%). The estimate of reference interaction of EAT with thyroid function on AF risk was more substantial (10.8%), but statistically nonsignificant.Conclusions: Higher FT4 levels are associated with larger EAT volumes in persons with abdominal obesity. We report no mediating role of EAT in the association of thyroid function with AF, but found evidence for a suggested interaction of FT4 with EAT volumes on AF risk. Keywords: thyroid function, epicardial fat, atrial fibrillation, causal mediation analysis
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- 2018
12. Evaluation pattern within tumor microenvironment and consequent gene expression in oral cancer.
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Vasheghani Farahani, A., Kavousi, M., and Jamshidian, F.
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- 2024
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13. Associations of blood pressure with all-cause and cause-specific mortality within different multimorbidity patterns among patients with type 2 diabetes
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Wang, K, primary, Zhu, F, additional, Aribas, E, additional, Bos, M, additional, Ahmadizar, F, additional, Sijbrands, E, additional, and Kavousi, M, additional
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- 2023
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14. Left atrium volume is the predominant cardiac dimension related to new-onset atrial fibrillation in the general population
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Lu, Z, primary, Tilly, M, additional, Van Oortmerssen, J, additional, Leening, M, additional, Van Walsum, T, additional, De Groot, N, additional, Bos, D, additional, and Kavousi, M, additional
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- 2023
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15. Burden of cardiometabolic diseases and life expectancy with and without atrial fibrillation among men and women
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Lu, Z, primary, Aribas, E, additional, Tilly, M, additional, Geurts, S, additional, De Groot, N, additional, and Kavousi, M, additional
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- 2023
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16. Prognosis of various atrial fibrillation patterns in the general population
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Tilly, M J, primary, Lu, Z, additional, Geurts, S, additional, Stricker, B H, additional, Labrecque, J A, additional, Ikram, M K, additional, De Maat, M P M, additional, De Groot, N M S, additional, and Kavousi, M, additional
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- 2023
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17. Autoimmune disease and new-onset atrial fibrillation: A UK Biobank study
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Tilly, M J, primary, Geurts, S, additional, Zhu, F, additional, Bos, M M, additional, Ikram, M A, additional, De Maat, M P M, additional, De Groot, N M S, additional, and Kavousi, M, additional
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- 2023
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18. Long-term cardiovascular health status and physical functioning of nonhospitalized patients with COVID-19 compared with non-COVID-19 controls.
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Sluijs, K.M. van der, Bakker, E.A., Schuijt, T.J., Joseph, J., Kavousi, M., Geersing, G.J., Rutten, F.H., Hartman, Y.A.W., Thijssen, D.H.J., Eijsvogels, T.M.H., Sluijs, K.M. van der, Bakker, E.A., Schuijt, T.J., Joseph, J., Kavousi, M., Geersing, G.J., Rutten, F.H., Hartman, Y.A.W., Thijssen, D.H.J., and Eijsvogels, T.M.H.
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Item does not contain fulltext, Coronavirus disease 2019 (COVID-19) is reported to have long-term effects on cardiovascular health and physical functioning, even in the nonhospitalized population. The physiological mechanisms underlying these long-term consequences are however less well described. We compared cardiovascular risk factors, arterial stiffness, and physical functioning in nonhospitalized patients with COVID-19, at a median of 6 mo postinfection, versus age- and sex-matched controls. Cardiovascular risk was assessed using blood pressure and biomarker concentrations (amino-terminal pro-B-type-natriuretic-peptide, high-sensitive cardiac troponin I, C-reactive protein), and arterial stiffness was assessed using carotid-femoral pulse wave velocity. Physical functioning was evaluated using accelerometry, handgrip strength, gait speed and questionnaires on fatigue, perceived general health status, and health-related quality of life (hrQoL). We included 101 former patients with COVID-19 (aged 59 [interquartile range, 55-65] yr, 58% male) and 101 controls. At 175 [126-235] days postinfection, 32% of the COVID-19 group reported residual symptoms, notably fatigue, and 7% required post-COVID-19 care. We found no differences in blood pressure, biomarker concentrations, or arterial stiffness between both groups. Former patients with COVID-19 showed a higher handgrip strength (43 [33-52] vs. 38 [30-48] kg, P = 0.004) and less sleeping time (8.8 [7.7-9.4] vs. 9.8 [8.9-10.3] h/day, P < 0.001) and reported fatigue more often than controls. Accelerometry-based habitual physical activity levels, gait speed, perception of general health status, and hrQoL were not different between groups. In conclusion, one in three nonhospitalized patients with COVID-19 reports residual symptoms at a median of 6 mo postinfection, but we were unable to relate these symptoms to increases in cardiovascular risk factors, arterial stiffness, or physical dysfunction.NEW & NOTEWORTHY We examined cardiovascular and physical func
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- 2023
19. Higher testosterone is associated with open-angle glaucoma in women: a genetic predisposition?
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Vergroesen, J.E., Kaynak, A., Aribas, E., Kavousi, M., Meurs, J.B.J. van, Klaver, C.C.W., Ramdas, W.D., Vergroesen, J.E., Kaynak, A., Aribas, E., Kavousi, M., Meurs, J.B.J. van, Klaver, C.C.W., and Ramdas, W.D.
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Contains fulltext : 292748.pdf (Publisher’s version ) (Open Access), BACKGROUND: Testosterone may be a possible modifiable risk factor for open-angle glaucoma (OAG) and intraocular pressure (IOP), but evidence has been scarce and conflicting. In this study we evaluated the association of testosterone and its genetic predisposition with incident (i) OAG, IOP, retinal nerve fiber layer (RNFL), and ganglion cell-inner plexiform layer (GCL +). METHODS: Participants aged 45-100 years were derived from the prospective, population-based Rotterdam Study. Ophthalmic examinations and serum testosterone measurements (including bioavailable and free testosterone) were performed from 1991 onwards. Follow-up took place every 4-5 years. A total of 187 out of 7898 participants were diagnosed with incident (i) OAG during follow-up. Genotyping was performed in 165 glaucoma cases and 6708 controls. We calculated sex-specific weighted genetic risk scores (GRS) for total and bioavailable testosterone. Associations with iOAG were analyzed using multivariable logistic regression. Associations with IOP, RNFL, and GCL + were analyzed with multivariable linear regression. Analyses were stratified on sex and adjusted for at least age, body mass index, and follow-up duration. RESULTS: In men, testosterone was not associated with iOAG. However, the GRS for higher total testosterone was associated with an increased iOAG risk (odds ratio [OR] with 95% confidence interval [95% CI]: 2.48 [1.18; 5.22], per unit). In women, higher values of bioavailable testosterone (2.05 [1.00; 4.18] per nmol/L) and free testosterone (1.79 [1.00; 3.20] per ng/dL) were significantly associated with increased risk of iOAG. Moreover, the GRS for higher bioavailable testosterone was associated with an increased iOAG risk (2.48 [1.09; 5.65], per unit). Higher bioavailable and free testosterone were adversely associated with IOP (0.58 [0.05; 1.10] per nmol/L and 0.47 [0.04; 0.90] per ng/dL). Higher total testosterone was inversely associated with peripapillary RNFL and GCL + (Beta [95% CI]
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- 2023
20. The optimal healthy ranges of thyroid function defined by the risk of cardiovascular disease and mortality: systematic review and individual participant data meta-analysis
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Xu, Y.F., Derakhshan, A., Hysaj, O., Wildisen, L., Ittermann, T., Pingitore, A., Abolhassani, N., Medici, M., Kiemeney, L.A., Riksen, N.P., Dullaart, R.P.F., Trompet, S., Dörr, M., Brown, S.J., Schmidt, Börge, Führer-Sakel, D., Vanderpump, M.P.J., Muendlein, A., Drexel, H., Fink, H.A., Ikram, M.K., Kavousi, M., Rhee, C.M., Bensenor, I.M., Azizi, F., Hankey, G.J., Iacoviello, M., Imaizumi, M., Ceresini, G., Ferrucci, L., Sgarbi, J.A., Bauer, D.C., Wareham, N., Boelaert, K., Bakker, S.J.L., Jukema, J.W., Vaes, B., Iervasi, G., Yeap, B.B., Westendorp, R.G.J., Korevaar, T.I.M., Völzke, H., Razvi, S., Gussekloo, J., Walsh, J.P., Cappola, A.R., Rodondi, N., Peeters, R.P., Chaker, L., Xu, Y.F., Derakhshan, A., Hysaj, O., Wildisen, L., Ittermann, T., Pingitore, A., Abolhassani, N., Medici, M., Kiemeney, L.A., Riksen, N.P., Dullaart, R.P.F., Trompet, S., Dörr, M., Brown, S.J., Schmidt, Börge, Führer-Sakel, D., Vanderpump, M.P.J., Muendlein, A., Drexel, H., Fink, H.A., Ikram, M.K., Kavousi, M., Rhee, C.M., Bensenor, I.M., Azizi, F., Hankey, G.J., Iacoviello, M., Imaizumi, M., Ceresini, G., Ferrucci, L., Sgarbi, J.A., Bauer, D.C., Wareham, N., Boelaert, K., Bakker, S.J.L., Jukema, J.W., Vaes, B., Iervasi, G., Yeap, B.B., Westendorp, R.G.J., Korevaar, T.I.M., Völzke, H., Razvi, S., Gussekloo, J., Walsh, J.P., Cappola, A.R., Rodondi, N., Peeters, R.P., and Chaker, L.
- Abstract
Contains fulltext : 297328.pdf (Publisher’s version ) (Closed access), BACKGROUND: Reference intervals of thyroid-stimulating hormone (TSH) and free thyroxine (FT(4)) are statistically defined by the 2·5-97·5th percentiles, without accounting for potential risk of clinical outcomes. We aimed to define the optimal healthy ranges of TSH and FT(4) based on the risk of cardiovascular disease and mortality. METHODS: This systematic review and individual participant data (IPD) meta-analysis identified eligible prospective cohorts through the Thyroid Studies Collaboration, supplemented with a systematic search via Embase, MEDLINE (Ovid), Web of science, the Cochrane Central Register of Controlled Trials, and Google Scholar from Jan 1, 2011, to Feb 12, 2017 with an updated search to Oct 13, 2022 (cohorts found in the second search were not included in the IPD). We included cohorts that collected TSH or FT(4), and cardiovascular outcomes or mortality for adults (aged ≥18 years). We excluded cohorts that included solely pregnant women, individuals with overt thyroid diseases, and individuals with cardiovascular disease. We contacted the study investigators of eligible cohorts to provide IPD on demographics, TSH, FT(4), thyroid peroxidase antibodies, history of cardiovascular disease and risk factors, medication use, cardiovascular disease events, cardiovascular disease mortality, and all-cause mortality. The primary outcome was a composite outcome including cardiovascular disease events (coronary heart disease, stroke, and heart failure) and all-cause mortality. Secondary outcomes were the separate assessment of cardiovascular disease events, all-cause mortality, and cardiovascular disease mortality. We performed one-step (cohort-stratified Cox models) and two-step (random-effects models) meta-analyses adjusting for age, sex, smoking, systolic blood pressure, diabetes, and total cholesterol. The study was registered with PROSPERO, CRD42017057576. FINDINGS: We identified 3935 studies, of which 53 cohorts fulfilled the inclusion criteria and 26 co
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- 2023
21. Global Effect of Modifiable Risk Factors on Cardiovascular Disease and Mortality
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Magnussen, C, Ojeda, F, Leong, D, Alegre-Diaz, J, Amouyel, P, Aviles-Santa, L, De Bacquer, D, Ballantyne, C, Bernabé-Ortiz, A, Bobak, M, Brenner, H, Carrillo-Larco, R, de Lemos, J, Dobson, A, Dörr, M, Donfrancesco, C, Drygas, W, Dullaart, R, Engström, G, Ferrario, M, Ferrières, J, de Gaetano, G, Goldbourt, U, Gonzalez, C, Grassi, G, Hodge, A, Hveem, K, Iacoviello, L, Ikram, M, Irazola, V, Jobe, M, Jousilahti, P, Kaleebu, P, Kavousi, M, Kee, F, Khalili, D, Koenig, W, Kontsevaya, A, Kuulasmaa, K, Lackner, K, Leistner, D, Lind, L, Linneberg, A, Lorenz, T, Lyngbakken, M, Malekzadeh, R, Malyutina, S, Mathiesen, E, Melander, O, Metspalu, A, Miranda, J, Moitry, M, Mugisha, J, Nalini, M, Nambi, V, Ninomiya, T, Oppermann, K, D'Orsi, E, Pająk, A, Palmieri, L, Panagiotakos, D, Perianayagam, A, Peters, A, Poustchi, H, Prentice, A, Prescott, E, Risérus, U, Salomaa, V, Sans, S, Sakata, S, Schöttker, B, Schutte, A, Sepanlou, S, Sharma, S, Shaw, J, Simons, L, Söderberg, S, Tamosiunas, A, Thorand, B, Tunstall-Pedoe, H, Twerenbold, R, Vanuzzo, D, Veronesi, G, Waibel, J, Wannamethee, S, Watanabe, M, Wild, P, Yao, Y, Zeng, Y, Ziegler, A, Blankenberg, S, Magnussen, Christina, Ojeda, Francisco M, Leong, Darryl P, Alegre-Diaz, Jesus, Amouyel, Philippe, Aviles-Santa, Larissa, De Bacquer, Dirk, Ballantyne, Christie M, Bernabé-Ortiz, Antonio, Bobak, Martin, Brenner, Hermann, Carrillo-Larco, Rodrigo M, de Lemos, James, Dobson, Annette, Dörr, Marcus, Donfrancesco, Chiara, Drygas, Wojciech, Dullaart, Robin P, Engström, Gunnar, Ferrario, Marco M, Ferrières, Jean, de Gaetano, Giovanni, Goldbourt, Uri, Gonzalez, Clicerio, Grassi, Guido, Hodge, Allison M, Hveem, Kristian, Iacoviello, Licia, Ikram, M Kamran, Irazola, Vilma, Jobe, Modou, Jousilahti, Pekka, Kaleebu, Pontiano, Kavousi, Maryam, Kee, Frank, Khalili, Davood, Koenig, Wolfgang, Kontsevaya, Anna, Kuulasmaa, Kari, Lackner, Karl J, Leistner, David M, Lind, Lars, Linneberg, Allan, Lorenz, Thiess, Lyngbakken, Magnus Nakrem, Malekzadeh, Reza, Malyutina, Sofia, Mathiesen, Ellisiv B, Melander, Olle, Metspalu, Andres, Miranda, J Jaime, Moitry, Marie, Mugisha, Joseph, Nalini, Mahdi, Nambi, Vijay, Ninomiya, Toshiharu, Oppermann, Karen, d'Orsi, Eleonora, Pająk, Andrzej, Palmieri, Luigi, Panagiotakos, Demosthenes, Perianayagam, Arokiasamy, Peters, Annette, Poustchi, Hossein, Prentice, Andrew M, Prescott, Eva, Risérus, Ulf, Salomaa, Veikko, Sans, Susana, Sakata, Satoko, Schöttker, Ben, Schutte, Aletta E, Sepanlou, Sadaf G, Sharma, Sanjib Kumar, Shaw, Jonathan E, Simons, Leon A, Söderberg, Stefan, Tamosiunas, Abdonas, Thorand, Barbara, Tunstall-Pedoe, Hugh, Twerenbold, Raphael, Vanuzzo, Diego, Veronesi, Giovanni, Waibel, Julia, Wannamethee, S Goya, Watanabe, Masafumi, Wild, Philipp S, Yao, Yao, Zeng, Yi, Ziegler, Andreas, Blankenberg, Stefan, Magnussen, C, Ojeda, F, Leong, D, Alegre-Diaz, J, Amouyel, P, Aviles-Santa, L, De Bacquer, D, Ballantyne, C, Bernabé-Ortiz, A, Bobak, M, Brenner, H, Carrillo-Larco, R, de Lemos, J, Dobson, A, Dörr, M, Donfrancesco, C, Drygas, W, Dullaart, R, Engström, G, Ferrario, M, Ferrières, J, de Gaetano, G, Goldbourt, U, Gonzalez, C, Grassi, G, Hodge, A, Hveem, K, Iacoviello, L, Ikram, M, Irazola, V, Jobe, M, Jousilahti, P, Kaleebu, P, Kavousi, M, Kee, F, Khalili, D, Koenig, W, Kontsevaya, A, Kuulasmaa, K, Lackner, K, Leistner, D, Lind, L, Linneberg, A, Lorenz, T, Lyngbakken, M, Malekzadeh, R, Malyutina, S, Mathiesen, E, Melander, O, Metspalu, A, Miranda, J, Moitry, M, Mugisha, J, Nalini, M, Nambi, V, Ninomiya, T, Oppermann, K, D'Orsi, E, Pająk, A, Palmieri, L, Panagiotakos, D, Perianayagam, A, Peters, A, Poustchi, H, Prentice, A, Prescott, E, Risérus, U, Salomaa, V, Sans, S, Sakata, S, Schöttker, B, Schutte, A, Sepanlou, S, Sharma, S, Shaw, J, Simons, L, Söderberg, S, Tamosiunas, A, Thorand, B, Tunstall-Pedoe, H, Twerenbold, R, Vanuzzo, D, Veronesi, G, Waibel, J, Wannamethee, S, Watanabe, M, Wild, P, Yao, Y, Zeng, Y, Ziegler, A, Blankenberg, S, Magnussen, Christina, Ojeda, Francisco M, Leong, Darryl P, Alegre-Diaz, Jesus, Amouyel, Philippe, Aviles-Santa, Larissa, De Bacquer, Dirk, Ballantyne, Christie M, Bernabé-Ortiz, Antonio, Bobak, Martin, Brenner, Hermann, Carrillo-Larco, Rodrigo M, de Lemos, James, Dobson, Annette, Dörr, Marcus, Donfrancesco, Chiara, Drygas, Wojciech, Dullaart, Robin P, Engström, Gunnar, Ferrario, Marco M, Ferrières, Jean, de Gaetano, Giovanni, Goldbourt, Uri, Gonzalez, Clicerio, Grassi, Guido, Hodge, Allison M, Hveem, Kristian, Iacoviello, Licia, Ikram, M Kamran, Irazola, Vilma, Jobe, Modou, Jousilahti, Pekka, Kaleebu, Pontiano, Kavousi, Maryam, Kee, Frank, Khalili, Davood, Koenig, Wolfgang, Kontsevaya, Anna, Kuulasmaa, Kari, Lackner, Karl J, Leistner, David M, Lind, Lars, Linneberg, Allan, Lorenz, Thiess, Lyngbakken, Magnus Nakrem, Malekzadeh, Reza, Malyutina, Sofia, Mathiesen, Ellisiv B, Melander, Olle, Metspalu, Andres, Miranda, J Jaime, Moitry, Marie, Mugisha, Joseph, Nalini, Mahdi, Nambi, Vijay, Ninomiya, Toshiharu, Oppermann, Karen, d'Orsi, Eleonora, Pająk, Andrzej, Palmieri, Luigi, Panagiotakos, Demosthenes, Perianayagam, Arokiasamy, Peters, Annette, Poustchi, Hossein, Prentice, Andrew M, Prescott, Eva, Risérus, Ulf, Salomaa, Veikko, Sans, Susana, Sakata, Satoko, Schöttker, Ben, Schutte, Aletta E, Sepanlou, Sadaf G, Sharma, Sanjib Kumar, Shaw, Jonathan E, Simons, Leon A, Söderberg, Stefan, Tamosiunas, Abdonas, Thorand, Barbara, Tunstall-Pedoe, Hugh, Twerenbold, Raphael, Vanuzzo, Diego, Veronesi, Giovanni, Waibel, Julia, Wannamethee, S Goya, Watanabe, Masafumi, Wild, Philipp S, Yao, Yao, Zeng, Yi, Ziegler, Andreas, and Blankenberg, Stefan
- Abstract
BACKGROUND: Five modifiable risk factors are associated with cardiovascular disease and death from any cause. Studies using individual-level data to evaluate the regional and sex-specific prevalence of the risk factors and their effect on these outcomes are lacking. METHODS: We pooled and harmonized individual-level data from 112 cohort studies conducted in 34 countries and 8 geographic regions participating in the Global Cardiovascular Risk Consortium. We examined associations between the risk factors (body-mass index, systolic blood pressure, non-high-density lipoprotein cholesterol, current smoking, and diabetes) and incident cardiovascular disease and death from any cause using Cox regression analyses, stratified according to geographic region, age, and sex. Population-attributable fractions were estimated for the 10-year incidence of cardiovascular disease and 10-year all-cause mortality. RESULTS: Among 1,518,028 participants (54.1% of whom were women) with a median age of 54.4 years, regional variations in the prevalence of the five modifiable risk factors were noted. Incident cardiovascular disease occurred in 80,596 participants during a median follow-up of 7.3 years (maximum, 47.3), and 177,369 participants died during a median follow-up of 8.7 years (maximum, 47.6). For all five risk factors combined, the aggregate global population-attributable fraction of the 10-year incidence of cardiovascular disease was 57.2% (95% confidence interval [CI], 52.4 to 62.1) among women and 52.6% (95% CI, 49.0 to 56.1) among men, and the corresponding values for 10-year all-cause mortality were 22.2% (95% CI, 16.8 to 27.5) and 19.1% (95% CI, 14.6 to 23.6). CONCLUSIONS: Harmonized individual-level data from a global cohort showed that 57.2% and 52.6% of cases of incident cardiovascular disease among women and men, respectively, and 22.2% and 19.1% of deaths from any cause among women and men, respectively, may be attributable to five modifiable risk factors. (Funded by the
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- 2023
22. Women, lipids, and atherosclerotic cardiovascular disease:a call to action from the European Atherosclerosis Society
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van Lennep, JER, Tokgozoglu, LS, Badimon, L, Dumanski, SM, Gulati, M, Hess, CN, Holven, KB, Kavousi, M, Kayikcioglu, M, Lutgens, E, Michos, ED, Prescott, E, Stock, JK, Tybjaerg-Hansen, A, Wermer, MJH, Benn, M, van Lennep, JER, Tokgozoglu, LS, Badimon, L, Dumanski, SM, Gulati, M, Hess, CN, Holven, KB, Kavousi, M, Kayikcioglu, M, Lutgens, E, Michos, ED, Prescott, E, Stock, JK, Tybjaerg-Hansen, A, Wermer, MJH, and Benn, M
- Abstract
Cardiovascular disease is the leading cause of death in women and men globally, with most due to atherosclerotic cardiovascular disease (ASCVD). Despite progress during the last 30 years, ASCVD mortality is now increasing, with the fastest relative increase in middle-aged women. Missed or delayed diagnosis and undertreatment do not fully explain this burden of disease. Sex-specific factors, such as hypertensive disorders of pregnancy, premature menopause (especially primary ovarian insufficiency), and polycystic ovary syndrome are also relevant, with good evidence that these are associated with greater cardiovascular risk. This position statement from the European Atherosclerosis Society focuses on these factors, as well as sex-specific effects on lipids, including lipoprotein(a), over the life course in women which impact ASCVD risk. Women are also disproportionately impacted (in relative terms) by diabetes, chronic kidney disease, and auto-immune inflammatory disease. All these effects are compounded by sociocultural components related to gender. This panel stresses the need to identify and treat modifiable cardiovascular risk factors earlier in women, especially for those at risk due to sex-specific conditions, to reduce the unacceptably high burden of ASCVD in women.
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- 2023
23. Autoimmune diseases and new-onset atrial fibrillation:a UK Biobank study
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Tilly, MJ, Geurts, S, Zhu, F, Bos, MM, Ikram, MA, de Maat, MPM, de Groot, NMS, Kavousi, M, Tilly, MJ, Geurts, S, Zhu, F, Bos, MM, Ikram, MA, de Maat, MPM, de Groot, NMS, and Kavousi, M
- Abstract
Aims The underlying mechanisms of atrial fibrillation (AF) are largely unknown. Inflammation may underlie atrial remodelling. Autoimmune diseases, related to increased systemic inflammation, may therefore be associated with new-onset AF. Methods and results Participants from the population-based UK Biobank were screened for rheumatic fever, gastrointestinal autoimmune diseases, autoimmune diseases targeting the musculoskeletal system and connective tissues, and neurological autoimmune diseases. Between 2006 and 2022, participants were followed for incident AF. Cox proportional hazards regression analyses were performed to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) to quantify associations. 494 072 participants free from AF were included (median age 58.0 years, 54.8% women). After a median of 12.8 years, 27 194 (5.5%) participants were diagnosed with new-onset AF. Rheumatic fever without heart involvement (HR, 95% CI: 1.47, 1.26–1.72), Crohn’s disease (1.23, 1.05–1.45), ulcerative colitis (1.17, 1.06–1.31), rheumatoid arthritis (1.39, 1.28–1.51), polyarteritis nodosa (1.82, 1.04–3.09), systemic lupus erythematosus (1.82, 1.41–2.35), and systemic sclerosis (2.32, 1.57–3.44) were associated with a larger AF risk. In sex-stratified analyses, rheumatic fever without heart involvement, multiple sclerosis, Crohn’s disease, seropositive rheumatoid arthritis, psoriatic and enteropathic arthropathies, systemic sclerosis and ankylosing spondylitis were associated with larger AF risk in women, whereas only men showed a larger AF risk associated with ulcerative colitis. Conclusions Various autoimmune diseases are associated with new-onset AF, more distinct in women. Our findings elaborate on the pathophysiological differences in autoimmunity and AF risk between men and women.
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- 2023
24. Fatty liver disease is not associated with increased mortality in the elderly: A prospective cohort study
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van Kleef, L. A., Sonneveld, M. J., Kavousi, M., Ikram, M. A., de Man, R. A., de Knegt, R. J., van Kleef, L. A., Sonneveld, M. J., Kavousi, M., Ikram, M. A., de Man, R. A., and de Knegt, R. J.
- Abstract
Background and Aims: Fatty liver disease (FLD) has been associated with excess mortality. Screening for hepatic steatosis (HS) in patients with metabolic dysfunction is therefore recommended by several guidelines, despite a paucity of evidence on the clinical relevance of FLD in this specific subgroup. Approach and Results: We studied participants of an ongoing prospective cohort (the Rotterdam Study). Persons ≥65 years old were enrolled from 2009 to 2014 and were followed through 2018. Steatosis was assessed by ultrasound and liver stiffness (LS) by transient elastography. The association between HS and LS with mortality was assessed using Cox regression analysis adjusted for age, sex, education, smoking, individual components of metabolic syndrome (MetS), heart failure, coronary heart disease, and stroke. We included 4093 elderly participants (74.4 ± 6.6 years old; 42.7% male); 36.8% had ultrasound-based steatosis. During the median follow-up of 6.9 years, 793 participants died (29.6 per 1000 person-years). In the overall population, steatosis was not associated with mortality in multivariable analysis (adjusted HR [aHR], 0.87; 95% CI, 0.73–1.03). Findings were consistent across a range of clinically relevant subgroups, including age categories, sex, MetS, elevated liver enzymes, and cardiac disease. Sensitivity analyses showed similar results for mortality beyond 5 years of follow-up and cancer-related and cerebro-cardiovascular mortality. Furthermore, among participants with steatosis, higher LS (aHR, 1.04 per kPa; 95% CI, 0.95–1.14) was not associated with mortality. Conclusions: Presence of FLD was not associated with mortality in this cohort nor in a range of subgroups. This indicates that screening for FLD and/or fibrosis is unlikely to improve outcomes among the elderly population.
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- 2023
25. Life expectancy associated with different ages at diagnosis of type 2 diabetes in high-income countries:23 million person-years of observation
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Sun, L., Best, L. G., Cooper, C., Bakker, S. J.L., Kavousi, M., Meyer, H. E., Thompson, S. G., Hunt, K. J., Bom, M. T., Kraft, P., Psaty, B. M., de Boer, R., Trompet, S., Tilly, M., Ikram, M. A., Dorr, M., Can, G., Geleijnse, M., Sun, L., Best, L. G., Cooper, C., Bakker, S. J.L., Kavousi, M., Meyer, H. E., Thompson, S. G., Hunt, K. J., Bom, M. T., Kraft, P., Psaty, B. M., de Boer, R., Trompet, S., Tilly, M., Ikram, M. A., Dorr, M., Can, G., and Geleijnse, M.
- Abstract
Background:The prevalence of type 2 diabetes is increasing rapidly, particularly among younger age groups. Estimates suggest that people with diabetes die, on average, 6 years earlier than people without diabetes. We aimed to provide reliable estimates of the associations between age at diagnosis of diabetes and all-cause mortality, cause-specific mortality, and reductions in life expectancy. Methods:For this observational study, we conducted a combined analysis of individual-participant data from 19 high-income countries using two large-scale data sources: the Emerging Risk Factors Collaboration (96 cohorts, median baseline years 1961–2007, median latest follow-up years 1980–2013) and the UK Biobank (median baseline year 2006, median latest follow-up year 2020). We calculated age-adjusted and sex-adjusted hazard ratios (HRs) for all-cause mortality according to age at diagnosis of diabetes using data from 1 515 718 participants, in whom deaths were recorded during 23·1 million person-years of follow-up. We estimated cumulative survival by applying age-specific HRs to age-specific death rates from 2015 for the USA and the EU. Findings: For participants with diabetes, we observed a linear dose–response association between earlier age at diagnosis and higher risk of all-cause mortality compared with participants without diabetes. HRs were 2·69 (95% CI 2·43–2·97) when diagnosed at 30–39 years, 2·26 (2·08–2·45) at 40–49 years, 1·84 (1·72–1·97) at 50–59 years, 1·57 (1·47–1·67) at 60–69 years, and 1·39 (1·29–1·51) at 70 years and older. HRs per decade of earlier diagnosis were similar for men and women. Using death rates from the USA, a 50-year-old individual with diabetes died on average 14 years earlier when diagnosed aged 30 years, 10 years earlier when diagnosed aged 40 years, or 6 years earlier when diagnosed aged 50 years than an individual without diabetes. Using EU death rates, the corresponding estimates
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- 2023
26. Low ADAMTS‐13 activity and the risk of coronary heart disease – a prospective cohort study: the Rotterdam Study
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Sonneveld, M.A.H., Kavousi, M., Ikram, M.A., Hofman, A., Rueda Ochoa, O.L., Turecek, P.L., Franco, O.H., Leebeek, F.W.G., and de Maat, M.P.M.
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- 2016
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27. Worldwide trends in diabetes since 1980: a pooled analysis of 751 population-based studies with 4·4 million participants
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Zhou, B, Lu, Y, Hajifathalian, K, Bentham, J, Di Cesare, M, Danaei, G, Bixby, H, Cowan, MJ, Ali, MK, Taddei, C, Lo, WC, Reis-Santos, B, Stevens, GA, Riley, LM, Miranda, JJ, Bjerregaard, P, Rivera, JA, Fouad, HM, Ma, G, Mbanya, JC, McGarvey, ST, Mohan, V, Onat, A, Pilav, A, Ramachandran, A, Romdhane, HB, Paciorek, CJ, Bennett, JE, Ezzati, M, Abdeen, ZA, Abdul Kadir, K, Abu-Rmeileh, NM, Acosta-Cazares, B, Adams, R, Aekplakorn, W, Aguilar-Salinas, CA, Agyemang, C, Ahmadvand, A, Al-Othman, AR, Alkerwi, A, Amouyel, P, Amuzu, A, Andersen, LB, Anderssen, SA, Anjana, RM, Aounallah-Skhiri, H, Aris, T, Arlappa, N, Arveiler, D, Assah, FK, Avdicová, M, Azizi, F, Balakrishna, N, Bandosz, P, Barbagallo, CM, Barceló, A, Batieha, AM, Baur, LA, Benet, M, Bernabe-Ortiz, A, Bharadwaj, S, Bhargava, SK, Bi, Y, Bjertness, E, Bjertness, MB, Björkelund, C, Blokstra, A, Bo, S, Boehm, BO, Boissonnet, CP, Bovet, P, Brajkovich, I, Breckenkamp, J, Brenner, H, Brewster, LM, Brian, GR, Bruno, G, Bugge, A, Cabrera de León, A, Can, G, Cândido, AP, Capuano, V, Carlsson, AC, Carvalho, MJ, Casanueva, FF, Casas, JP, Caserta, CA, Castetbon, K, Chamukuttan, S, Chaturvedi, N, Chen, CJ, Chen, F, Chen, S, Cheng, CY, Chetrit, A, Chiou, ST, Cho, Y, Chudek, J, Cifkova, R, Claessens, F, Concin, H, Cooper, C, Cooper, R, Costanzo, S, Cottel, D, Cowell, C, Crujeiras, AB, D'Arrigo, G, Dallongeville, J, Dankner, R, Dauchet, L, de Gaetano, G, De Henauw, S, Deepa, M, Dehghan, A, Deschamps, V, Dhana, K, Di Castelnuovo, AF, Djalalinia, S, Doua, K, Drygas, W, Du, Y, Dzerve, V, Egbagbe, EE, Eggertsen, R, El Ati, J, Elosua, R, Erasmus, RT, Erem, C, Ergor, G, Eriksen, L, Escobedo-de la Peña, J, Fall, CH, Farzadfar, F, Felix-Redondo, FJ, Ferguson, TS, Fernández-Bergés, D, Ferrari, M, Ferreccio, C, Feskens, EJ, Finn, JD, Föger, B, Foo, LH, Forslund, AS, Francis, DK, Franco Mdo, C, Franco, OH, Frontera, G, Furusawa, T, Gaciong, Z, Garnett, SP, Gaspoz, JM, Gasull, M, Gates, L, Geleijnse, JM, Ghasemian, A, Ghimire, A, Giampaoli, S, Gianfagna, F, Giovannelli, J, Giwercman, A, Gross, MG, González Rivas, JP, Gorbea, MB, Gottrand, F, Grafnetter, D, Grodzicki, T, Grøntved, A, Gruden, G, Gu, D, Guan, OP, Guerrero, R, Guessous, I, Guimaraes, AL, Gutierrez, L, Hambleton, IR, Hardy, R, Hari Kumar, R, Hata, J, He, J, Heidemann, C, Herrala, S, Hihtaniemi, IT, Ho, SY, Ho, SC, Hofman, A, Hormiga, CM, Horta, BL, Houti, L, Howitt, C, Htay, TT, Htet, AS, Htike, MM, Hu, Y, Hussieni, AS, Huybrechts, I, Hwalla, N, Iacoviello, L, Iannone, AG, Ibrahim, MM, Ikeda, N, Ikram, MA, Irazola, VE, Islam, M, Iwasaki, M, Jacobs, JM, Jafar, T, Jamil, KM, Jasienska, G, Jiang, CQ, Jonas, JB, Joshi, P, Kafatos, A, Kalter-Leibovici, O, Kasaeian, A, Katz, J, Kaur, P, Kavousi, M, Keinänen-Kiukaanniemi, S, Kelishadi, R, Kengne, AP, Kersting, M, Khader, YS, Khalili, D, Khang, YH, Kiechl, S, Kim, J, Kolsteren, P, Korrovits, P, Kratzer, W, Kromhout, D, Kujala, UM, Kula, K, Kyobutungi, C, Laatikainen, T, Lachat, C, Laid, Y, Lam, TH, Landrove, O, Lanska, V, Lappas, G, Laxmaiah, A, Leclercq, C, Lee, J, Lehtimäki, T, Lekhraj, R, León-Muñoz, LM, Li, Y, Lim, WY, Lima-Costa, MF, Lin, HH, Lin, X, Lissner, L, Lorbeer, R, Lozano, JE, Luksiene, D, Lundqvist, A, Lytsy, P, Machado-Coelho, GL, Machi, S, Maggi, S, Magliano, DJ, Makdisse, M, Mallikharjuna Rao, K, Manios, Y, Manzato, E, Margozzini, P, Marques-Vidal, P, Martorell, R, Masoodi, SR, Mathiesen, EB, Matsha, TE, McFarlane, SR, McLachlan, S, McNulty, BA, Mediene-Benchekor, S, Meirhaeghe, A, Menezes, AM, Merat, S, Meshram, II, Mi, J, Miquel, JF, Mohamed, MK, Mohammad, K, Mohammadifard, N, Mohd Yusoff, MF, Møller, NC, Molnár, D, Mondo, CK, Morejon, A, Moreno, LA, Morgan, K, Moschonis, G, Mossakowska, M, Mostafa, A, Mota, J, Motta, J, Mu, TT, Muiesan, ML, Müller-Nurasyid, M, Mursu, J, Nagel, G, Námešná, J, Nang, EE, NangThetia, VB, Navarrete-Muñoz, EM, Ndiaye, NC, Nenko, I, Nervi, F, Nguyen, ND, Nguyen, QN, Nieto-Martínez, RE, Ning, G, Ninomiya, T, Noale, M, Noto, D, Nsour, MA, Ochoa-Avilés, AM, Oh, K, Ordunez, P, Osmond, C, Otero, JA, Owusu-Dabo, E, Pahomova, E, Palmieri, L, Panda-Jonas, S, Panza, F, Parsaeian, M, Peixoto, SV, Pelletier, C, Peltonen, M, Peters, A, Peykari, N, Pham, ST, Pitakaka, F, Piwonska, A, Piwonski, J, Plans-Rubió, P, Porta, M, Portegies, ML, Poustchi, H, Pradeepa, R, Price, JF, Punab, M, Qasrawi, RF, Qorbani, M, Radisauskas, R, Rahman, M, Raitakari, O, Rao, SR, Ramke, J, Ramos, R, Rampal, S, Rathmann, W, Redon, J, Reganit, PF, Rigo, F, Robinson, SM, Robitaille, C, Rodríguez-Artalejo, F, Rodriguez-Perez Mdel, C, Rodríguez-Villamizar, LA, Rojas-Martinez, R, Ronkainen, K, Rosengren, A, Rubinstein, A, Rui, O, Ruiz-Betancourt, BS, Russo Horimoto, RV, Rutkowski, M, Sabanayagam, C, Sachdev, HS, Saidi, O, Sakarya, S, Salanave, B, Salonen, JT, Salvetti, M, Sánchez-Abanto, J, Santos, D, dos Santos, RN, Santos, R, Saramies, JL, Sardinha, LB, Sarrafzadegan, N, Saum, KU, Scazufca, M, Schargrodsky, H, Scheidt-Nave, C, Sein, AA, Sharma, SK, Shaw, JE, Shibuya, K, Shin, Y, Shiri, R, Siantar, R, Sibai, AM, Simon, M, Simons, J, Simons, LA, Sjostrom, M, Slowikowska-Hilczer, J, Slusarczyk, P, Smeeth, L, Snijder, MB, So, HK, Sobngwi, E, Söderberg, S, Solfrizzi, V, Sonestedt, E, Soumare, A, Staessen, JA, Stathopoulou, MG, Steene-Johannessen, J, Stehle, P, Stein, AD, Stessman, J, Stöckl, D, Stokwiszewski, J, Stronks, K, Strufaldi, MW, Sun, CA, Sundström, J, Sung, YT, Suriyawongpaisal, P, Sy, RG, Tai, ES, Tamosiunas, A, Tang, L, Tarawneh, M, Tarqui-Mamani, CB, Taylor, A, Theobald, H, Thijs, L, Thuesen, BH, Tolonen, HK, Tolstrup, JS, Topbas, M, Torrent, M, Traissac, P, Trinh, OT, Tulloch-Reid, MK, Tuomainen, TP, Turley, ML, Tzourio, C, Ueda, P, Ukoli, FA, Ulmer, H, Uusitalo, HM, Valdivia, G, Valvi, D, van Rossem, L, van Valkengoed, IG, Vanderschueren, D, Vanuzzo, D, Vega, T, Velasquez-Melendez, G, Veronesi, G, Verschuren, WM, Verstraeten, R, Viet, L, Vioque, J, Virtanen, JK, Visvikis-Siest, S, Viswanathan, B, Vollenweider, P, Voutilainen, S, Vrijheid, M, Wade, AN, Wagner, A, Walton, J, Wan Mohamud, WN, Wang, F, Wang, MD, Wang, Q, Wang, YX, Wannamethee, SG, Weerasekera, D, Whincup, PH, Widhalm, K, Wiecek, A, Wijga, AH, Wilks, RJ, Willeit, J, Wilsgaard, T, Wojtyniak, B, Wong, TY, Woo, J, Woodward, M, Wu, FC, Wu, SL, Xu, H, Yan, W, Yang, X, Ye, X, Yoshihara, A, Younger-Coleman, NO, Zambon, S, Zargar, AH, Zdrojewski, T, Zhao, W, Zheng, Y, and Zuñiga Cisneros, J
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- 2016
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28. Association of Diabetes Medication With Open-Angle Glaucoma, Age-Related Macular Degeneration, and Cataract in the Rotterdam Study
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Vergroesen, J.E., Thee, E.F., Ahmadizar, F., Duijn, C.M. van, Stricker, B.H., Kavousi, M., Klaver, C.C.W., Ramdas, W.D., Ophthalmology, and Epidemiology
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Health Equity ,Insulins ,Sensory disorders Donders Center for Medical Neuroscience [Radboudumc 12] ,Cataract ,Metformin ,Cohort Studies ,Ophthalmology ,Macular Degeneration ,SDG 3 - Good Health and Well-being ,Diabetes Mellitus, Type 2 ,Risk Factors ,Diabetes Mellitus ,Humans ,Female ,Prospective Studies ,Healthcare Disparities ,Glaucoma, Open-Angle ,Original Investigation ,Aged - Abstract
Item does not contain fulltext IMPORTANCE: Recent studies suggest that the diabetes drug metformin has a protective effect on open-angle glaucoma (OAG) and age-related macular degeneration (AMD). However, studies have not addressed the critical issue of confounding by indication, and associations have not been evaluated in a large prospective cohort. OBJECTIVE: To determine the association between diabetes medication and the common eye diseases OAG, AMD, and cataract and to evaluate their cumulative lifetime risks in a large cohort study. DESIGN, SETTING, AND PARTICIPANTS: This cohort study included participants from 3 independent cohorts from the prospective, population-based Rotterdam Study between April 23, 1990, and June 25, 2014. Participants were monitored for incident eye diseases (OAG, AMD, cataract) and had baseline measurements of serum glucose. Data on diabetes medication use and data from ophthalmologic examinations were gathered. EXPOSURES: Type 2 diabetes (T2D) and the diabetes medications metformin, insulin, and sulfonylurea derivatives. MAIN OUTCOMES AND MEASURES: Diagnosis and cumulative lifetime risk of OAG, AMD, and cataract. RESULTS: This study included 11 260 participants (mean [SD] age, 65.1 [9.8]; 6610 women [58.7%]). T2D was diagnosed in 2406 participants (28.4%), OAG was diagnosed in 324 of 7394 participants (4.4%), AMD was diagnosed in 1935 of 10 993 participants (17.6%), and cataract was diagnosed in 4203 of 11 260 participants (37.3%). Untreated T2D was associated with a higher risk of OAG (odds ratio [OR], 1.50; 95% CI, 1.06-2.13; P = .02), AMD (OR, 1.35; 95% CI, 1.11-1.64; P = .003), and cataract (OR, 1.63; 95% CI, 1.39-1.92; P
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- 2023
29. Zkoumání změn posttranskripčního úprav genů VEGF a CD146 nesoucích miR-573 v buňkách karcinomu prsu ošetřených tamoxifenem.
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Abyar, M., Kavousi, M., and Jamshidian, F.
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- 2023
30. Extracelulární exozomy pravděpodobně hrají roli nosiče v přenášení molekul z nádorového mikroprostredí karcinomu prsu do nedotčených buněk.
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Khani, S. A., Kavousi, M., and Jamshidian, F.
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- 2023
31. Effects of diabetes definition on global surveillance of diabetes prevalence and diagnosis: a pooled analysis of 96 population-based studies with 331 288 participants
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Danaei, G, Fahimi, S, Lu, Y, Zhou, B, Hajifathalian, K, Di Cesare, M, Lo, WC, Reis-Santos, B, Cowan, MJ, Shaw, JE, Bentham, J, Lin, JK, Bixby, H, Magliano, D, Bovet, P, Miranda, JJ, Khang, YH, Stevens, GA, Riley, LM, Ali, MK, Ezzati, M, Abdeen, ZA, Kadir, KA, Abu-Rmeileh, M, Acosta-Cazares, B, Aekplakorn, W, Aguilar-Salinas, CA, Ahmadvand, A, Al Nsour, M, Alkerwi, A, Amouyel, P, Andersen, LB, Anderssen, SA, Andrade, DS, Anjana, RM, Aounallah-Skhiri, H, Aris, T, Arlappa, N, Arveiler, D, Assah, FK, Avdicová, M, Balakrishna, N, Bandosz, P, Barbagallo, CM, Barceló, A, Batieha, AM, Baur, LA, Ben Romdhane, H, Bernabe-Ortiz, A, Bhargava, SK, Bi, Y, Bjerregaard, P, Björkelund, C, Blake, M, Blokstra, A, Bo, S, Boehm, BO, Boissonnet, CP, Brajkovich, I, Breckenkamp, J, Brewster, LM, Brian, GR, Bruno, G, Bugge, A, Cabrera de León, A, Can, G, Cândido, AP, Capuano, V, Carvalho, MJ, Casanueva, FF, Caserta, CA, Castetbon, K, Chamukuttan, S, Chaturvedi, N, Chen, CJ, Chen, F, Chen, S, Cheng, CY, Chetrit, A, Chiou, ST, Cho, Y, Chudek, J, Cifkova, R, Claessens, F, Concin, H, Cooper, C, Cooper, R, Costanzo, S, Cottel, D, Cowell, C, Crujeiras, AB, D'Arrigo, G, Dallongeville, J, Dankner, R, Dauchet, L, de Gaetano, G, De Henauw, S, Deepa, M, Dehghan, A, Dhana, K, Di Castelnuovo, AF, Djalalinia, S, Doua, K, Drygas, W, Du, Y, Egbagbe, EE, Eggertsen, R, El Ati, J, Elosua, R, Erasmus, RT, Erem, C, Ergor, G, Eriksen, L, Escobedo-de la Peña, J, Fall, CH, Farzadfar, F, Felix-Redondo, FJ, Ferguson, TS, Fernández-Bergés, D, Ferrari, M, Ferreccio, C, Finn, JD, Föger, B, Foo, LH, Fouad, HM, Francis, DK, Franco Mdo, C, Frontera, G, Furusawa, T, Gaciong, Z, Galbarczyk, A, Garnett, SP, Gaspoz, JM, Gasull, M, Gates, L, Geleijnse, JM, Ghasemain, A, Giampaoli, S, Gianfagna, F, Giovannelli, J, Gonzalez Gross, M, González Rivas, JP, Gorbea, MB, Gottrand, F, Grant, JF, Grodzicki, T, Grøntved, A, Gruden, G, Gu, D, Guan, OP, Guerrero, R, Guessous, I, Guimaraes, AL, Gutierrez, L, Hardy, R, Hari Kumar, R, Heidemann, C, Hihtaniemi, IT, Ho, SY, Ho, SC, Hofman, A, Horimoto, AR, Hormiga, CM, Horta, BL, Houti, L, Hussieni, AS, Huybrechts, I, Hwalla, N, Iacoviello, L, Iannone, AG, Ibrahim, MM, Ikeda, N, Ikram, MA, Irazola, VE, Islam, M, Iwasaki, M, Jacobs, JM, Jafar, T, Jasienska, G, Jiang, CQ, Jonas, JB, Joshi, P, Kafatos, A, Kalter-Leibovici, O, Kasaeian, A, Katz, J, Kaur, P, Kavousi, M, Kelishadi, R, Kengne, AP, Kersting, M, Khader, YS, Kiechl, S, Kim, J, Kiyohara, Y, Kolsteren, P, Korrovits, P, Koskinen, S, Kratzer, W, Kromhout, D, Kula, K, Kurjata, P, Kyobutungi, C, Lachat, C, Laid, Y, Lam, TH, Lanska, V, Lappas, G, Laxmaiah, A, Leclercq, C, Lee, J, Lehtimäki, T, Lekhraj, R, León-Muñoz, LM, Li, Y, Lim, WY, Lima-Costa, MF, Lin, HH, Lin, X, Lissner, L, Lorbeer, R, Lozano, JE, Lundqvist, A, Lytsy, P, Ma, G, Machado-Coelho, GL, Machi, S, Maggi, S, Makdisse, M, Mallikharjuna v, K, Manios, Y, Manzato, E, Margozzini, P, Marques-Vidal, P, Martorell, R, Masoodi, SR, Matsha, TE, Mbanya, JC, McFarlane, SR, McGarvey, ST, McLachlan, S, McNulty, BA, Mediene-Benchekor, S, Meirhaeghe, A, Menezes, AM, Merat, S, Meshram, II, Mi, J, Miquel, JF, Mohamed, MK, Mohammad, K, Mohan, V, Mohd Yusoff, MF, Møller, NC, Molnar, D, Mondo, CK, Moreno, LA, Morgan, K, Moschonis, G, Mossakowska, M, Mostafa, A, Mota, J, Muiesan, ML, Müller-Nurasyid, M, Mursu, J, Nagel, G, Námešná, J, Nang, EE, Nangia, VB, Navarrete-Muñoz, EM, Ndiaye, NC, Nervi, F, Nguyen, ND, Nieto-Martínez, RE, Alvarado, L, Ning, G, Ninomiya, T, Noale, M, Noto, D, Ochoa-Avilés, M, Oh, K, Onat, A, Osmond, C, Otero, JA, Palmieri, L, Panda-Jonas, S, Panza, F, Parsaeian, M, Peixoto, SV, Pereira, AC, Peters, A, Peykari, N, Pilav, A, Pitakaka, F, Piwonska, A, Piwonski, J, Plans-Rubió, P, Porta, M, Portegies, ML, Poustchi, H, Pradeepa, R, Price, JF, Punab, M, Qasrawi, RF, Qorbani, M, Raitakari, O, Ramachandra Rao, S, Ramachandran, A, Ramos, R, Rampal, S, Rathmann, W, Redon, J, Reganit, PF, Rigo, F, Robinson, SM, Robitaille, C, Rodríguez, LA, Rodríguez-Artalejo, F, del Cristo Rodriguez-Perez, M, Rojas-Martinez, R, Romaguera, D, Rosengren, A, Rubinstein, A, Rui, O, Ruiz-Betancourt, BS, Rutkowski, M, Sabanayagam, C, Sachdev, HS, Saidi, O, Sakarya, S, Salanave, B, Salonen, JT, Salvetti, M, Sánchez-Abanto, J, Santos, RN, Santos, R, Sardinha, LB, Scazufca, M, Schargrodsky, H, Scheidt-Nave, C, Shibuya, K, Shin, Y, Shiri, R, Siantar, R, Sibai, AM, Simon, M, Simons, J, Simons, LA, Sjostrom, M, Slowikowska-Hilczer, J, Slusarczyk, P, Smeeth, L, Snijder, MB, Solfrizzi, V, Sonestedt, E, Soumare, A, Staessen, JA, Steene-Johannessen, J, Stehle, P, Stein, AD, Stessman, J, Stöckl, D, Stokwiszewski, J, Strufaldi, MW, Sun, CA, Sundström, J, Suriyawongpaisal, P, Sy, RG, Tai, ES, Tarawneh, M, Tarqui-Mamani, CB, Thijs, L, Tolstrup, JS, Topbas, M, Torrent, M, Traissac, P, Trinh, OT, Tulloch-Reid, MK, Tuomainen, TP, Turley, ML, Tzourio, C, Ueda, P, Ukoli, FM, Ulmer, H, Valdivia, G, van Valkengoed, IG, Vanderschueren, D, Vanuzzo, D, Vega, T, Velasquez-Melendez, G, Veronesi, G, Verschuren, M, Vioque, J, Virtanen, J, Visvikis-Siest, S, Viswanathan, B, Vollenweider, P, Voutilainen, S, Wade, AN, Wagner, A, Walton, J, Mohamud, WN, Wang, MD, Wang, YX, Wannamethee, SG, Weerasekera, D, Whincup, PH, Widhalm, K, Wiecek, A, Wilks, RJ, Willeit, J, Wojtyniak, B, Wong, TY, Woo, J, Woodward, M, Wu, AG, Wu, FC, Wu, SL, Xu, H, Yang, X, Ye, X, Yoshihara, A, Younger-Coleman, NO, Zambon, S, Zargar, AH, Zdrojewski, T, Zhao, W, and Zheng, Y
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- 2015
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32. Exome-sequencing in a large population-based study reveals a rare Asn396Ser variant in the LIPG gene associated with depressive symptoms
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Amin, N, Jovanova, O, Adams, H H H, Dehghan, A, Kavousi, M, Vernooij, M W, Peeters, R P, de Vrij, F M S, van der Lee, S J, van Rooij, J G J, van Leeuwen, E M, Chaker, L, Demirkan, A, Hofman, A, Brouwer, R W W, Kraaij, R, Willems van Dijk, K, Hankemeier, T, van Ijcken, W F J, Uitterlinden, A G, Niessen, W J, Franco, O H, Kushner, S A, Ikram, M A, Tiemeier, H, and van Duijn, C M
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- 2017
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33. Plasma amyloid-beta in relation to cardiac function and risk of heart failure in the general population
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Zhu, F, primary, Wolters, F J, additional, Yaqub, A, additional, Boersma, H, additional, Ikram, M A, additional, and Kavousi, M, additional
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- 2022
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34. Aortic valve calcium in relation to subclinical cardiac dysfunction and risk of heart failure in the general population
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Zhu, F, primary, Kaiser, Y, additional, Boersma, H, additional, Bos, D, additional, and Kavousi, M, additional
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- 2022
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35. Cardiometabolic multimorbidity and lifetime risk of atrial fibrillation among men and women
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Lu, Z, primary, Ntlapto, N, additional, Tilly, M, additional, Ikram, M A, additional, De Groot, N M S, additional, and Kavousi, M, additional
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- 2022
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36. Plasma amyloid-beta levels and risk of new-onset atrial fibrillation in the general population
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Lu, Z, primary, Tilly, M, additional, Wolters, F, additional, De Groot, N M S, additional, Ikram, M A, additional, and Kavousi, M, additional
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- 2022
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37. 2021 ESC Guidelines on cardiovascular disease prevention in clinical practice
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Visseren, F, Mach, F, Smulders, Y, Carballo, D, Koskinas, K, Back, M, Benetos, A, Biffi, A, Boavida, J, Capodanno, D, Cosyns, B, Crawford, C, Davos, C, Desormais, I, Di Angelantonio, E, Duran, O, Halvorsen, S, Richard Hobbs, F, Hollander, M, Jankowska, E, Michal, M, Sacco, S, Sattar, N, Tokgozoglu, L, Tonstad, S, Tsioufis, K, van Dis, I, van Gelder, I, Wanner, C, Williams, B, De Backer, G, Regitz-Zagrosek, V, Aamodt, A, Abdelhamid, M, Aboyans, V, Albus, C, Asteggiano, R, Borger, M, Brotons, C, Celutkiene, J, Cifkova, R, Cikes, M, Cosentino, F, Dagres, N, De Backer, T, De Bacquer, D, Delgado, V, Ruijter, H, Dendale, P, Drexel, H, Falk, V, Fauchier, L, Ference, B, Ferrieres, J, Ferrini, M, Fisher, M, Fliser, D, Fras, Z, Gaita, D, Giampaoli, S, Gielen, S, Graham, I, Jennings, C, Jorgensen, T, Kautzky-Willer, A, Kavousi, M, Koenig, W, Konradi, A, Kotecha, D, Landmesser, U, Lettino, M, Lewis, B, Linhart, A, Lochen, M, Makrilakis, K, Mancia, G, Marques-Vidal, P, Mcevoy, J, Mcgreavy, P, Merkely, B, Neubeck, L, Nielsen, J, Perk, J, Petersen, S, Petronio, A, Piepoli, M, Pogosova, N, Prescott, E, Ray, K, Reiner, Z, Richter, D, Ryden, L, Shlyakhto, E, Sitges, M, Sousa-Uva, M, Sudano, I, Tiberi, M, Touyz, R, Ungar, A, Monique Verschuren, W, Wiklund, O, Wood, D, Zamorano, J, Visseren F., Mach F., Smulders Y. M., Carballo D., Koskinas K. C., Back M., Benetos A., Biffi A., Boavida J. -M., Capodanno D., Cosyns B., Crawford C. A., Davos C. H., Desormais I., Di Angelantonio E., Duran O. H. F., Halvorsen S., Richard Hobbs F. D., Hollander M., Jankowska E. A., Michal M., Sacco S., Sattar N., Tokgozoglu L., Tonstad S., Tsioufis K. P., van Dis I., van Gelder I. C., Wanner C., Williams B., De Backer G., Regitz-Zagrosek V., Aamodt A. H., Abdelhamid M., Aboyans V., Albus C., Asteggiano R., Borger M. A., Brotons C., Celutkiene J., Cifkova R., Cikes M., Cosentino F., Dagres N., De Backer T., De Bacquer D., Delgado V., Ruijter H. D., Dendale P., Drexel H., Falk V., Fauchier L., Ference B. A., Ferrieres J., Ferrini M., Fisher M., Fliser D., Fras Z., Gaita D., Giampaoli S., Gielen S., Graham I., Jennings C., Jorgensen T., Kautzky-Willer A., Kavousi M., Koenig W., Konradi A., Kotecha D., Landmesser U., Lettino M., Lewis B. S., Linhart A., Lochen M. -L., Makrilakis K., Mancia G., Marques-Vidal P., McEvoy J. W., McGreavy P., Merkely B., Neubeck L., Nielsen J. C., Perk J., Petersen S. E., Petronio A. S., Piepoli M., Pogosova N. G., Prescott E. I. B., Ray K. K., Reiner Z., Richter D. J., Ryden L., Shlyakhto E., Sitges M., Sousa-Uva M., Sudano I., Tiberi M., Touyz R. M., Ungar A., Monique Verschuren W. M., Wiklund O., Wood D., Zamorano J. L., Visseren, F, Mach, F, Smulders, Y, Carballo, D, Koskinas, K, Back, M, Benetos, A, Biffi, A, Boavida, J, Capodanno, D, Cosyns, B, Crawford, C, Davos, C, Desormais, I, Di Angelantonio, E, Duran, O, Halvorsen, S, Richard Hobbs, F, Hollander, M, Jankowska, E, Michal, M, Sacco, S, Sattar, N, Tokgozoglu, L, Tonstad, S, Tsioufis, K, van Dis, I, van Gelder, I, Wanner, C, Williams, B, De Backer, G, Regitz-Zagrosek, V, Aamodt, A, Abdelhamid, M, Aboyans, V, Albus, C, Asteggiano, R, Borger, M, Brotons, C, Celutkiene, J, Cifkova, R, Cikes, M, Cosentino, F, Dagres, N, De Backer, T, De Bacquer, D, Delgado, V, Ruijter, H, Dendale, P, Drexel, H, Falk, V, Fauchier, L, Ference, B, Ferrieres, J, Ferrini, M, Fisher, M, Fliser, D, Fras, Z, Gaita, D, Giampaoli, S, Gielen, S, Graham, I, Jennings, C, Jorgensen, T, Kautzky-Willer, A, Kavousi, M, Koenig, W, Konradi, A, Kotecha, D, Landmesser, U, Lettino, M, Lewis, B, Linhart, A, Lochen, M, Makrilakis, K, Mancia, G, Marques-Vidal, P, Mcevoy, J, Mcgreavy, P, Merkely, B, Neubeck, L, Nielsen, J, Perk, J, Petersen, S, Petronio, A, Piepoli, M, Pogosova, N, Prescott, E, Ray, K, Reiner, Z, Richter, D, Ryden, L, Shlyakhto, E, Sitges, M, Sousa-Uva, M, Sudano, I, Tiberi, M, Touyz, R, Ungar, A, Monique Verschuren, W, Wiklund, O, Wood, D, Zamorano, J, Visseren F., Mach F., Smulders Y. M., Carballo D., Koskinas K. C., Back M., Benetos A., Biffi A., Boavida J. -M., Capodanno D., Cosyns B., Crawford C. A., Davos C. H., Desormais I., Di Angelantonio E., Duran O. H. F., Halvorsen S., Richard Hobbs F. D., Hollander M., Jankowska E. A., Michal M., Sacco S., Sattar N., Tokgozoglu L., Tonstad S., Tsioufis K. P., van Dis I., van Gelder I. C., Wanner C., Williams B., De Backer G., Regitz-Zagrosek V., Aamodt A. H., Abdelhamid M., Aboyans V., Albus C., Asteggiano R., Borger M. A., Brotons C., Celutkiene J., Cifkova R., Cikes M., Cosentino F., Dagres N., De Backer T., De Bacquer D., Delgado V., Ruijter H. D., Dendale P., Drexel H., Falk V., Fauchier L., Ference B. A., Ferrieres J., Ferrini M., Fisher M., Fliser D., Fras Z., Gaita D., Giampaoli S., Gielen S., Graham I., Jennings C., Jorgensen T., Kautzky-Willer A., Kavousi M., Koenig W., Konradi A., Kotecha D., Landmesser U., Lettino M., Lewis B. S., Linhart A., Lochen M. -L., Makrilakis K., Mancia G., Marques-Vidal P., McEvoy J. W., McGreavy P., Merkely B., Neubeck L., Nielsen J. C., Perk J., Petersen S. E., Petronio A. S., Piepoli M., Pogosova N. G., Prescott E. I. B., Ray K. K., Reiner Z., Richter D. J., Ryden L., Shlyakhto E., Sitges M., Sousa-Uva M., Sudano I., Tiberi M., Touyz R. M., Ungar A., Monique Verschuren W. M., Wiklund O., Wood D., and Zamorano J. L.
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- 2021
38. Obesity in older adults and life expectancy with and without cardiovascular disease
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Dhana, K, Berghout, M A, Peeters, A, Ikram, M A, Tiemeier, H, Hofman, A, Nusselder, W, Kavousi, M, and Franco, O H
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- 2016
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39. SCORE2 risk prediction algorithms: new models to estimate 10-year risk of cardiovascular disease in Europe
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Hageman, S., Pennells, L., Ojeda, F., Kaptoge, S., Kuulasmaa, K., Vries, T. de, Xu, Z., Kee, F., Chung, R., Wood, A., McEvoy, J.W., Veronesi, G., Bolton, T., Dendale, P., Ference, B.A., Halle, M., Timmis, A., Vardas, P., Danesh, J., Graham, I., Salomaa, V., Visseren, F., Bacquer, D. de, Blankenberg, S., Dorresteijn, J., Angelantonio, E. di, Achenbach, S., Aleksandrova, K., Amiano, P., Amouyel, P., Andersson, J., Bakker, S.J.L., Costa, R.B.D., Beulens, J.W.J., Blaha, M., Bobak, M., Boer, J.M.A., Bonet, C., Bonnet, F., Boutron-Ruault, M.C., Braaten, T., Brenner, H., Brunner, F., Brunner, E.J., Brunstrom, M., Buring, J., Butterworth, A.S., Capkova, N., Cesana, G., Chrysohoou, C., Colorado-Yohar, S., Cook, N.R., Cooper, C., Dahm, C.C., Davidson, K., Dennison, E., Castelnuovo, A. di, Donfrancesco, C., Dorr, M., Dorynska, A., Eliasson, M., Engstrom, G., Ferrari, P., Ferrario, M., Ford, I., Fu, M., Gansevoort, R.T., Giampaoli, S., Gillum, R.F., Camara, A.G. de la, Grassi, G., Hansson, P.O., Huculeci, R., Hveem, K., Iacoviello, L., Ikram, M.K., Jorgensen, T., Joseph, B., Jousilahti, P., Jukema, J.W., Kaaks, R., Katzke, V., Kavousi, M., Kiechl, S., Klotsche, J., Konig, W., Kronmal, R.A., Kubinova, R., Kucharska-Newton, A., Lall, K., Lehmann, N., Leistner, D., Linneberg, A., Pablos, D.L., Lorenz, T., Lu, W.T., Luksiene, D., Lyngbakken, M., Magnussen, C., Malyutina, S., Ibanez, A.M., Masala, G., Mathiesen, E.B., Matsushita, K., Meade, T.W., Melander, O., Meyer, H.E., Moons, K.G.M., Moreno-Iribas, C., Muller, D., Munzel, T., Nikitin, Y., Nordestgaard, B.G., Omland, T., Onland, C., Overvad, K., Packard, C., Pajak, A., Palmieri, L., Panagiotakos, D., Panico, S., Perez-Cornago, A., Peters, A., Pietila, A., Pikhart, H., Psaty, B.M., Quarti-Trevano, F., Garcia, J.R.Q., Riboli, E., Ridker, P.M., Rodriguez, B., Rodriguez-Barranco, M., Rosengren, A., Roussel, R., Sacerdote, C., Sans, S., Sattar, N., Schiborn, C., Schmidt, B., Schottker, B., Schulze, M., Schwartz, J.E., Selmer, R.M., Shea, S., Shipley, M.J., Sieri, S., Soderberg, S., Sofat, R., Tamosiunas, A., Thorand, B., Tillmann, T., Tjonneland, A., Tong, T.Y.N., Trichopoulou, A., Tumino, R., Tunstall-Pedoe, H., Tybjaerg-Hansen, A., Tzoulaki, J., Heijden, A. van der, Schouw, Y.T. van der, Verschuren, W.M.M., Volzke, H., Waldeyer, C., Wareham, N.J., Weiderpass, E., Weidinger, F., Wild, P., Willeit, J., Willeit, P., Wilsgaard, T., Woodward, M., Zeller, T., Zhang, D.D., Zhou, B., SCORE2 Working Grp, ESC Cardiovasc Risk Collaboration, collaboration, SCORE2 working group and ESC Cardiovascular risk, Groningen Institute for Organ Transplantation (GIOT), Groningen Kidney Center (GKC), Cardiovascular Centre (CVC), Epidemiology, Neurology, Achenbach, S, Aleksandrova, K, Amiano, P, San Sebastian, D, Amouyel, P, Andersson, J, Bakker, S, Da Providencia Costa, R, Beulens, J, Blaha, M, Bobak, M, Boer, J, Bonet, C, Bonnet, F, Boutron-Ruault, M, Braaten, T, Brenner, H, Brunner, F, Brunner, E, Brunström, M, Buring, J, Butterworth, A, Capkova, N, Cesana, G, Chrysohoou, C, Colorado-Yohar, S, Cook, N, Cooper, C, Dahm, C, Davidson, K, Dennison, E, Di Castelnuovo, A, Donfrancesco, C, Dörr, M, Doryńska, A, Eliasson, M, Engström, G, Ferrari, P, Ferrario, M, Ford, I, Fu, M, Gansevoort, R, Giampaoli, S, Gillum, R, Gómez de la Cámara, A, Grassi, G, Hansson, P, Huculeci, R, Hveem, K, Iacoviello, L, Ikram, M, Jørgensen, T, Joseph, B, Jousilahti, P, Wouter Jukema, J, Kaaks, R, Katzke, V, Kavousi, M, Kiechl, S, Klotsche, J, König, W, Kronmal, R, Kubinova, R, Kucharska-Newton, A, Läll, K, Lehmann, N, Leistner, D, Linneberg, A, Pablos, D, Lorenz, T, Lu, W, Luksiene, D, Lyngbakken, M, Magnussen, C, Malyutina, S, Ibañez, A, Masala, G, Mathiesen, E, Matsushita, K, Meade, T, Melander, O, Meyer, H, Moons, K, Moreno-Iribas, C, Muller, D, Münzel, T, Nikitin, Y, Nordestgaard, B, Omland, T, Onland, C, Overvad, K, Packard, C, Pająk, A, Palmieri, L, Panagiotakos, D, Panico, S, Perez-Cornago, A, Peters, A, Pietilä, A, Pikhart, H, Psaty, B, Quarti-Trevano, F, Garcia, J, Riboli, E, Ridker, P, Rodriguez, B, Rodriguez-Barranco, M, Rosengren, A, Roussel, R, Sacerdote, C, S, S, Sattar, N, Schiborn, C, Schmidt, B, Schöttker, B, Schulze, M, Schwartz, J, Selmer, R, Shea, S, Shipley, M, Sieri, S, Söderberg, S, Sofat, R, Tamosiunas, A, Thorand, B, Tillmann, T, Tjønneland, A, Tong, T, Trichopoulou, A, Tumino, R, Tunstall-Pedoe, H, Tybjaerg-Hansen, A, Tzoulaki, J, van der Heijden, A, van der Schouw, Y, Verschuren, W, Völzke, H, Waldeyer, C, Wareham, N, Weiderpass, E, Weidinger, F, Wild, P, Willeit, J, Willeit, P, Wilsgaard, T, Woodward, M, Zeller, T, Zhang, D, Zhou, B, and Apollo - University of Cambridge Repository
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Male ,Cardiology ,RATIONALE ,Blood Pressure ,Disease ,030204 cardiovascular system & hematology ,PROFILE ,ACUTE CORONARY EVENTS ,VALIDATION ,Europe/epidemiology ,03 medical and health sciences ,0302 clinical medicine ,SDG 3 - Good Health and Well-being ,DESIGN ,Clinical Research ,Risk Factors ,Diabetes mellitus ,medicine ,PARTICIPANTS ,Humans ,030212 general & internal medicine ,Risk factor ,Aged ,Primary prevention ,business.industry ,10-year CVD risk ,Incidence (epidemiology) ,Cardiovascular Diseases/epidemiology ,Risk Prediction ,Cardiovascular Disease ,Primary Prevention ,10-year Cvd Risk ,External validation ,PRIMARY-CARE ,Middle Aged ,medicine.disease ,Cardiovascular disease ,Risk prediction ,3. Good health ,Europe ,Prediction algorithms ,Blood pressure ,Cardiovascular Diseases ,Smoking status ,Female ,Cardiology and Cardiovascular Medicine ,business ,Algorithms ,Demography - Abstract
Aims The aim of this study was to develop, validate, and illustrate an updated prediction model (SCORE2) to estimate 10-year fatal and non-fatal cardiovascular disease (CVD) risk in individuals without previous CVD or diabetes aged 40-69 years in Europe.Methods and results We derived risk prediction models using individual-participant data from 45 cohorts in 13 countries (677 684 individuals, 30 121 CVD events). We used sex-specific and competing risk-adjusted models, including age, smoking status, systolic blood pressure, and total- and HDL-cholesterol. We defined four risk regions in Europe according to country-specific CVD mortality, recalibrating models to each region using expected incidences and risk factor distributions. Region-specific incidence was estimated using CVD mortality and incidence data on 10 776 466 individuals. For external validation, we analysed data from 25 additional cohorts in 15 European countries (1 133 181 individuals, 43 492 CVD events). After applying the derived risk prediction models to external validation cohorts, C-indices ranged from 0.67 (0.65-0.68) to 0.81 (0.76-0.86). Predicted CVD risk varied several-fold across European regions. For example, the estimated 10-year CVD risk for a 50-year-old smoker, with a systolic blood pressure of 140 mmHg, total cholesterol of 5.5 mmol/L, and HDL-cholesterol of 1.3 mmol/L, ranged from 5.9% for men in low- risk countries to 14.0% for men in very high-risk countries, and from 4.2% for women in low-risk countries to 13.7% for women in very high-risk countries.Conclusion SCORE2-a new algorithm derived, calibrated, and validated to predict 10-year risk of first-onset CVD in European populations-enhances the identification of individuals at higher risk of developing CVD across Europe. Acknowledgements We thank investigators and participants of the several studies that contributed data to the Emerging Risk Factors Collaboration (ERFC). This research has been conducted using the UK Biobank Resource under Application Number 26865. Data from the Clinical Practice Research Datalink (CPRD) were obtained under licence from the UK Medicines and Healthcare products Regulatory Agency (protocol 162RMn2). CPRD uses data provided by patients and collected by the NHS as part of their care and support. We thank all EPIC participants and staff for their contribution to the study, the laboratory teams at the Medical Research Council Epidemiology Unit for sample management and Cambridge Genomic Services for genotyping, Sarah Spackman for data management and the team at the EPIC-CVD Coordinating Centre for study co-ordination and administration. Funding The ERFC co-ordinating centre was underpinned by programme grants from the British Heart Foundation (SP/09/002; RG/13/13/30194; RG/18/13/33946), BHF Centre of Research Excellence (RE/18/1/34212), the UK Medical Research Council (MR/L003120/1), and the National Institute for Health Research (NIHR) Cambridge Biomedical Research Centre (BRC1215-20014), with project-specific support received from the UK NIHR [*], British United Provident Association UK Foundation and an unrestricted educational grant from GlaxoSmithKline. A variety of funding sources have supported recruitment, follow-up, and laboratory measurements in the studies contributing data to the ERFC, which are listed on the ERFC website (www.phpc.cam.ac.uk/ceu/erfc/list-of-studies). *The views expressed are those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care. This work was supported by Health Data Research UK, which is funded by the UK Medical Research Council, Engineering and Physical Sciences Research Council, Economic and Social Research Council, Department of Health and Social Care (England), Chief Scientist Office of the Scottish Government Health and Social Care Directorates, Health and Social Care Research and Development Division (Welsh Government), Public Health Agency (Northern Ireland), British Heart Foundation, and Wellcome. The MORGAM Project has received funding from EU projects MORGAM (Biomed BMH4-CT98-3183), GenomEUtwin (FP5, QLG2-CT-2002-01254), ENGAGE (FP7, HEALTH-F4-2007-201413),CHANCES (FP7, HEALTH-F3-2010-242244), BiomarCaRE (FP7,HEALTH-F2-2011-278913), euCanSHare (Horizon 2020, No. 825903) and AFFECT-EU (Horizon 2020, No. 847770); and Medical Research Council, London (G0601463, No. 80983: Biomarkers in the MORGAM Populations). This has supported central coordination, workshops and part of the activities of the MORGAM Data Centre, the MORGAM Laboratories and the MORGAM Participating Centres EPIC-CVD was funded by the European Research Council (268834), and the European Commission Framework Programme 7 (HEALTH-F2-2012-279233). This work was supported by the Estonian Research Council grant PUTs (PRG687, PUT1660, PUT1665, PRG184), by European Union through the European Regional Development Fund project no. MOBERA5 (Norface Network project no 462.16.107), by the Green ICT programme under Norway Grants 2014 – 2021 (grant number EU53928), by the European Union through Horizon 2020 grant no. 810645 and through the European Regional Development Fund (Project No. 2014-2020.4.01.16-0125) and by the PRECISE4Q consortium. PRECISE4Q project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant agreement 777107. This work was partly funded through the CoMorMent project. CoMorMent has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant agreement 847776. The KORA study was initiated and financed by the Helmholtz Zentrum Mu¨nchen—German Research Center for Environmental Health, which is funded by the German Federal Ministry of Education and Research (BMBF) and by the State of Bavaria. The KORA study was supported by a research grant from the Virtual Institute of Diabetes Research (Helmholtz Zentrum Mu¨nchen), the Clinical Cooperation Group Diabetes between Ludwig-Maximilians-Universita¨t Mu¨nchen and Helmholtz Zentrum Mu¨nchen, and by the German Diabetes Center (DDZ). The HAPIEE project, Institute, was supported by grants from the Wellcome Trust (064947/Z/01/Z; WT081081) and US National Institute on Aging (1R01 and AG23522). The co-ordination of EPIC is financially supported by International Agency for Research on Cancer (IARC) and also by the Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, which has additional infrastructure support provided by the NIHR Imperial Biomedical Research Centre (BRC). The national cohorts are supported by: Danish Cancer Society (Denmark); Ligue Contre le Cancer, Institut Gustave Roussy, Mutuelle Ge´ne´rale de l’Education Nationale, Institut National de la Sante´ et de la Recherche Me´dicale (INSERM) (France); German Cancer Aid, German Cancer Research Center (DKFZ), German Institute of Human Nutrition Potsdam Rehbruecke (DIfE), Federal Ministry of Education and Research (BMBF) (Germany); Associazione Italiana per la Ricerca sul Cancro-AIRC-Italy, Compagnia di SanPaolo and National Research Council (Italy); Dutch 2448 SCORE2 working group and ESC Cardiovascular Risk Collaboration Ministry of Public Health, Welfare and Sports (VWS), Netherlands Cancer Registry (NKR), LK Research Funds, Dutch Prevention Funds, Dutch ZON (Zorg Onderzoek Nederland), World Cancer Research Fund (WCRF), Statistics Netherlands (The Netherlands); Health Research Fund (FIS)—Instituto de Salud Carlos III (ISCIII), Regional Governments of Andalucı´a, Asturias, Basque Country, Murcia and Navarra, and the Catalan Institute of Oncology—ICO (Spain); Swedish Cancer Society, Swedish Research Council and County Councils of Ska˚ne and Va¨sterbotten (Sweden); Cancer Research UK (14136 to EPIC-Norfolk; C8221/A29017 to EPIC-Oxford), Medical Research Council (1000143 to EPIC-Norfolk; MR/M012190/1 to EPIC-Oxford) (United Kingdom)
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- 2021
40. Increased risk of cardiovascular disease and high risk profiles compatible with metabolic syndrome in patients with inflammatory bowel disease: A cross-sectional analysis of matched cohorts
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Sleutjes, J.A.M., primary, Van Lennep, J. E. Roeters, additional, Kavousi, M., additional, Aribas, E., additional, Van Der Woude, C.J., additional, and De Vries, A.C., additional
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- 2022
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41. Prevalence of microvascular angina among patients with stable symptoms in the absence of obstructive coronary artery disease: a systematic review
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Aribas, E., Lennep, J.E.Roeters van, Elias-Smale, S.E., Piek, J.J., Roos, M., Ahmadizar, F., Arshi, B., Duncker, D.J., Appelman, Y., Kavousi, M., Aribas, E., Lennep, J.E.Roeters van, Elias-Smale, S.E., Piek, J.J., Roos, M., Ahmadizar, F., Arshi, B., Duncker, D.J., Appelman, Y., and Kavousi, M.
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Item does not contain fulltext, Our purpose was to perform a systematic review to assess the prevalence of microvascular angina (MVA) among patients with stable symptoms in the absence of obstructive coronary artery disease (CAD). We performed a systematic review of the literature to group the prevalence of MVA, based on diagnostic pathways and modalities. We defined MVA using three definitions: (i) suspected MVA using non-invasive ischaemia tests; proportion of patients with non-obstructive CAD among patients with symptoms and a positive non-invasive ischaemia test result, (ii) suspected MVA using specific modalities for MVA; proportion of patients with evidence of impaired microvascular function among patients with symptoms and non-obstructive CAD, and (iii) definitive MVA; proportion of patients with positive ischaemia test results among patients with an objectified impaired microvascular dysfunction. We further examined the ratio of women-to-men for the different groups. Of the 4547 abstracts, 20 studies reported data on MVA prevalence. The median prevalence was 43% for suspected MVA using non-invasive ischaemia test, 28% for suspected MVA using specific modalities for MVA, and 30% for definitive MVA. Overall, more women were included in the studies reporting sex-specific data. The women-to-men ratio for included participants was 1.29. However, the average women-to-men ratio for the MVA cases was 2.50. In patients with stable symptoms of ischaemia in the absence of CAD, the prevalences of suspected and definitive MVA are substantial. The results of this study should warrant cardiologists to support, promote and facilitate the comprehensive evaluation of the coronary microcirculation for all patients with symptoms and non-obstructive CAD.
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- 2022
42. Sex steroids and markers of micro- and macrovascular damage among women and men from the general population
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Aribas, E., Ahmadizar, F., Mutlu, U., Ikram, M.K., Bos, D., Laven, J. S. E., Klaver, C.C.W., Ikram, M.Arfan, Roeters van Lennep, J.L., Kavousi, M., Aribas, E., Ahmadizar, F., Mutlu, U., Ikram, M.K., Bos, D., Laven, J. S. E., Klaver, C.C.W., Ikram, M.Arfan, Roeters van Lennep, J.L., and Kavousi, M.
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Contains fulltext : 282541.pdf (Publisher’s version ) (Open Access), AIMS: The contribution of sex hormones to micro- and macrovascular damage might differ among women and men. In particular, little is known about the association between sex hormones and small vessel disease. Therefore, we examined the association of total oestradiol, total testosterone, free-androgen index (FAI), dehydroepiandrosterone (DHEA), dehydroepiandrosterone sulfate (DHEAS), and androstenedione levels with micro- and macrovascular diseases. METHODS AND RESULTS: This cross-sectional study included 2950 women and 2495 men from the population-based Rotterdam Study. As proxy of microvascular damage, we measured diameters of retinal arterioles and venules. Markers of macrovascular damage included carotid intima-media thickness and carotid plaque, coronary artery calcification (CAC), and peripheral artery disease. Linear and logistic regression models were used and adjusted for age, cardiovascular risk factors, and years since menopause. Associations with microvasculature: In women, total testosterone [mean difference per 1-unit increase in natural-log transformed total testosterone (95% confidence interval, CI): 2.59 (0.08-5.09)] and androstenedione [4.88 (1.82-7.95)] and in men DHEAS [2.80 (0.23-5.37)] and androstenedione [5.83 (2.19-9.46)] were associated with larger venular caliber. Associations with markers of large vessel disease: In women, higher total testosterone [-0.29 (-0.56 to -0.03)], FAI [-0.33 (-0.56 to -0.10)], and androstenedione levels [-0.33 (-0.64 to -0.02)] were associated with lower CAC burden and FAI [odds ratio (95% CI): 0.82 (0.71-0.94)] was associated with lower prevalence of plaque. CONCLUSION: A more androgenic profile was associated with more microvascular damage in both women and men. Among women, however, higher androgen levels were also associated with less macrovascular damage. Our findings suggest that androgens might have distinct effects on the vasculature, depending on the vascular bed and stages of the atherosclerosis process.
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- 2022
43. Association of Diabetes Medication With Open-Angle Glaucoma, Age-Related Macular Degeneration, and Cataract in the Rotterdam Study
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Vergroesen, J.E., Thee, E.F., Ahmadizar, F., Duijn, C.M. van, Stricker, B.H., Kavousi, M., Klaver, C.C.W., Ramdas, W.D., Vergroesen, J.E., Thee, E.F., Ahmadizar, F., Duijn, C.M. van, Stricker, B.H., Kavousi, M., Klaver, C.C.W., and Ramdas, W.D.
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Item does not contain fulltext, IMPORTANCE: Recent studies suggest that the diabetes drug metformin has a protective effect on open-angle glaucoma (OAG) and age-related macular degeneration (AMD). However, studies have not addressed the critical issue of confounding by indication, and associations have not been evaluated in a large prospective cohort. OBJECTIVE: To determine the association between diabetes medication and the common eye diseases OAG, AMD, and cataract and to evaluate their cumulative lifetime risks in a large cohort study. DESIGN, SETTING, AND PARTICIPANTS: This cohort study included participants from 3 independent cohorts from the prospective, population-based Rotterdam Study between April 23, 1990, and June 25, 2014. Participants were monitored for incident eye diseases (OAG, AMD, cataract) and had baseline measurements of serum glucose. Data on diabetes medication use and data from ophthalmologic examinations were gathered. EXPOSURES: Type 2 diabetes (T2D) and the diabetes medications metformin, insulin, and sulfonylurea derivatives. MAIN OUTCOMES AND MEASURES: Diagnosis and cumulative lifetime risk of OAG, AMD, and cataract. RESULTS: This study included 11 260 participants (mean [SD] age, 65.1 [9.8]; 6610 women [58.7%]). T2D was diagnosed in 2406 participants (28.4%), OAG was diagnosed in 324 of 7394 participants (4.4%), AMD was diagnosed in 1935 of 10 993 participants (17.6%), and cataract was diagnosed in 4203 of 11 260 participants (37.3%). Untreated T2D was associated with a higher risk of OAG (odds ratio [OR], 1.50; 95% CI, 1.06-2.13; P = .02), AMD (OR, 1.35; 95% CI, 1.11-1.64; P = .003), and cataract (OR, 1.63; 95% CI, 1.39-1.92; P < .001). T2D treated with metformin was associated with a lower risk of OAG (OR, 0.18; 95% CI, 0.08-0.41; P < .001). Other diabetes medication (ie, insulin, sulfonylurea derivates) was associated with a lower risk of AMD (combined OR, 0.32; 95% CI, 0.18 to 0.55; P < .001). The cumulative lifetime risk of OAG was lower for individuals taking me
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- 2022
44. LongITools:dynamic longitudinal exposome trajectories in cardiovascular and metabolic noncommunicable diseases
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Ronkainen, J. (Justiina), Nedelec, R. (Rozenn), Atehortua, A. (Angelica), Balkhiyarova, Z. (Zhanna), Cascarano, A. (Anna), Elhakeem, A. (Ahmed), van Enckevort, E. (Esther), Soares, A. G. (Ana Goncalves), Haakma, S. (Sido), Halonen, M. (Miia), Heil, K. F. (Katharina F.), Heiskala, A. (Anni), Hyde, E. (Eleanor), Jacquemin, B. (Benedicte), Keikkala, E. (Elina), Kerckhoffs, J. (Jules), Klavus, A. (Anton), Kopinska, J. A. (Joanna A.), Lepeule, J. (Johanna), Marazzi, F. (Francesca), Motoc, I. (Irina), Näätänen, M. (Mari), Ribbenstedt, A. (Anton), Rundblad, A. (Amanda), Savolainen, O. (Otto), Simonetti, V. (Valentina), Eadie, N. d. (Nina de Toro), Tzala, E. (Evangelia), Ulrich, A. (Anna), Wright, T. (Thomas), Zarei, I. (Iman), d'Amico, E. (Enrico), Belotti, F. (Federico), Brunius, C. (Carl), Castleton, C. (Christopher), Charles, M.-A. (Marie-Aline), Gaillard, R. (Romy), Hanhineva, K. (Kati), Hoek, G. (Gerard), Holven, K. B. (Kirsten B.), Jaddoe, V. W. (Vincent W. V.), Kaakinen, M. A. (Marika A.), Kajantie, E. (Eero), Kavousi, M. (Maryam), Lakka, T. (Timo), Matthews, J. (Jason), Mortari, A. P. (Andrea Piano), Vääräsmäki, M. (Marja), Voortman, T. (Trudy), Webster, C. (Claire), Zins, M. (Marie), Atella, V. (Vincenzo), Bulgheroni, M. (Maria), Chadeau-Hyam, M. (Marc), Conti, G. (Gabriella), Evans, J. (Jayne), Felix, J. F. (Janine F.), Heude, B. (Barbara), Järvelin, M.-R. (Marjo-Riitta), Kolehmainen, M. (Marjukka), Landberg, R. (Rikard), Lekadir, K. (Karim), Parusso, S. (Stefano), Prokopenko, I. (Inga), de Rooij, S. R. (Susanne R.), Roseboom, T. (Tessa), Swertz, M. (Morris), Timpson, N. (Nicholas), Ulven, S. M. (Stine M.), Vermeulen, R. (Roel), Juola, T. (Teija), Sebert, S. (Sylvain), Ronkainen, J. (Justiina), Nedelec, R. (Rozenn), Atehortua, A. (Angelica), Balkhiyarova, Z. (Zhanna), Cascarano, A. (Anna), Elhakeem, A. (Ahmed), van Enckevort, E. (Esther), Soares, A. G. (Ana Goncalves), Haakma, S. (Sido), Halonen, M. (Miia), Heil, K. F. (Katharina F.), Heiskala, A. (Anni), Hyde, E. (Eleanor), Jacquemin, B. (Benedicte), Keikkala, E. (Elina), Kerckhoffs, J. (Jules), Klavus, A. (Anton), Kopinska, J. A. (Joanna A.), Lepeule, J. (Johanna), Marazzi, F. (Francesca), Motoc, I. (Irina), Näätänen, M. (Mari), Ribbenstedt, A. (Anton), Rundblad, A. (Amanda), Savolainen, O. (Otto), Simonetti, V. (Valentina), Eadie, N. d. (Nina de Toro), Tzala, E. (Evangelia), Ulrich, A. (Anna), Wright, T. (Thomas), Zarei, I. (Iman), d'Amico, E. (Enrico), Belotti, F. (Federico), Brunius, C. (Carl), Castleton, C. (Christopher), Charles, M.-A. (Marie-Aline), Gaillard, R. (Romy), Hanhineva, K. (Kati), Hoek, G. (Gerard), Holven, K. B. (Kirsten B.), Jaddoe, V. W. (Vincent W. V.), Kaakinen, M. A. (Marika A.), Kajantie, E. (Eero), Kavousi, M. (Maryam), Lakka, T. (Timo), Matthews, J. (Jason), Mortari, A. P. (Andrea Piano), Vääräsmäki, M. (Marja), Voortman, T. (Trudy), Webster, C. (Claire), Zins, M. (Marie), Atella, V. (Vincenzo), Bulgheroni, M. (Maria), Chadeau-Hyam, M. (Marc), Conti, G. (Gabriella), Evans, J. (Jayne), Felix, J. F. (Janine F.), Heude, B. (Barbara), Järvelin, M.-R. (Marjo-Riitta), Kolehmainen, M. (Marjukka), Landberg, R. (Rikard), Lekadir, K. (Karim), Parusso, S. (Stefano), Prokopenko, I. (Inga), de Rooij, S. R. (Susanne R.), Roseboom, T. (Tessa), Swertz, M. (Morris), Timpson, N. (Nicholas), Ulven, S. M. (Stine M.), Vermeulen, R. (Roel), Juola, T. (Teija), and Sebert, S. (Sylvain)
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The current epidemics of cardiovascular and metabolic noncommunicable diseases have emerged alongside dramatic modifications in lifestyle and living environments. These correspond to changes in our ”modern” postwar societies globally characterized by rural-to-urban migration, modernization of agricultural practices, and transportation, climate change, and aging. Evidence suggests that these changes are related to each other, although the social and biological mechanisms as well as their interactions have yet to be uncovered. LongITools, as one of the 9 projects included in the European Human Exposome Network, will tackle this environmental health equation linking multidimensional environmental exposures to the occurrence of cardiovascular and metabolic noncommunicable diseases.
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- 2022
45. 2021 ESC Guidelines on cardiovascular disease prevention in clinical practice
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Visseren, F, Mach, F, Smulders, Y, Carballo, D, Koskinas, K, Bäck, M, Benetos, A, Biffi, A, Boavida, J, Capodanno, D, Cosyns, B, Crawford, C, Davos, C, Desormais, I, Di Angelantonio, E, Franco, O, Halvorsen, S, Hobbs, F, Hollander, M, Jankowska, E, Michal, M, Sacco, S, Sattar, N, Tokgozoglu, L, Tonstad, S, Tsioufis, K, van Dis, I, van Gelder, I, Wanner, C, Williams, B, De Backer, G, Regitz-Zagrosek, V, Aamodt, A, Abdelhamid, M, Aboyans, V, Albus, C, Asteggiano, R, Borger, M, Brotons, C, Celutkiene, J, Cifkova, R, Cikes, M, Cosentino, F, Dagres, N, De Backer, T, De Bacquer, D, Delgado, V, Den Ruijter, H, Dendale, P, Drexel, H, Falk, V, Fauchier, L, Ference, B, Ferrières, J, Ferrini, M, Fisher, M, Fliser, D, Fras, Z, Gaita, D, Giampaoli, S, Gielen, S, Graham, I, Jennings, C, Jorgensen, T, Kautzky-Willer, A, Kavousi, M, Koenig, W, Konradi, A, Kotecha, D, Landmesser, U, Lettino, M, Lewis, B, Linhart, A, Lochen, M, Makrilakis, K, Mancia, G, Marques-Vidal, P, Mcevoy, J, Mcgreavy, P, Merkely, B, Neubeck, L, Nielsen, J, Perk, J, Petersen, S, Petronio, A, Piepoli, M, Pogosova, N, Prescott, E, Ray, K, Reiner, Z, Richter, D, Rydén, L, Shlyakhto, E, Sitges, M, Sousa-Uva, M, Sudano, I, Tiberi, M, Touyz, R, Ungar, A, Verschuren, W, Wiklund, O, Wood, D, Zamorano, J, Visseren, FLJ, Smulders, YM, Koskinas, KC, Boavida, JM, Davos, CH, Franco, OH, Hobbs, FDR, Jankowska, EA, Tsioufis, KP, van Gelder, IC, Aamodt, AH, Borger, MA, Ference, BA, Lewis, BS, Lochen, ML, McEvoy, JW, McGreavy, P, Nielsen, JC, Petersen, SE, Petronio, AS, Pogosova, NG, Prescott, EIB, Ray, KK, Richter, DJ, Touyz, RM, Verschuren, WMM, Zamorano, JL, Visseren, F, Mach, F, Smulders, Y, Carballo, D, Koskinas, K, Bäck, M, Benetos, A, Biffi, A, Boavida, J, Capodanno, D, Cosyns, B, Crawford, C, Davos, C, Desormais, I, Di Angelantonio, E, Franco, O, Halvorsen, S, Hobbs, F, Hollander, M, Jankowska, E, Michal, M, Sacco, S, Sattar, N, Tokgozoglu, L, Tonstad, S, Tsioufis, K, van Dis, I, van Gelder, I, Wanner, C, Williams, B, De Backer, G, Regitz-Zagrosek, V, Aamodt, A, Abdelhamid, M, Aboyans, V, Albus, C, Asteggiano, R, Borger, M, Brotons, C, Celutkiene, J, Cifkova, R, Cikes, M, Cosentino, F, Dagres, N, De Backer, T, De Bacquer, D, Delgado, V, Den Ruijter, H, Dendale, P, Drexel, H, Falk, V, Fauchier, L, Ference, B, Ferrières, J, Ferrini, M, Fisher, M, Fliser, D, Fras, Z, Gaita, D, Giampaoli, S, Gielen, S, Graham, I, Jennings, C, Jorgensen, T, Kautzky-Willer, A, Kavousi, M, Koenig, W, Konradi, A, Kotecha, D, Landmesser, U, Lettino, M, Lewis, B, Linhart, A, Lochen, M, Makrilakis, K, Mancia, G, Marques-Vidal, P, Mcevoy, J, Mcgreavy, P, Merkely, B, Neubeck, L, Nielsen, J, Perk, J, Petersen, S, Petronio, A, Piepoli, M, Pogosova, N, Prescott, E, Ray, K, Reiner, Z, Richter, D, Rydén, L, Shlyakhto, E, Sitges, M, Sousa-Uva, M, Sudano, I, Tiberi, M, Touyz, R, Ungar, A, Verschuren, W, Wiklund, O, Wood, D, Zamorano, J, Visseren, FLJ, Smulders, YM, Koskinas, KC, Boavida, JM, Davos, CH, Franco, OH, Hobbs, FDR, Jankowska, EA, Tsioufis, KP, van Gelder, IC, Aamodt, AH, Borger, MA, Ference, BA, Lewis, BS, Lochen, ML, McEvoy, JW, McGreavy, P, Nielsen, JC, Petersen, SE, Petronio, AS, Pogosova, NG, Prescott, EIB, Ray, KK, Richter, DJ, Touyz, RM, Verschuren, WMM, and Zamorano, JL
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- 2022
46. Resting heart rate and incident atrial fibrillation:A stratified Mendelian randomization in the AFGen consortium
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Siland, J. E., Geelhoed, B., Roselli, C., Wang, B., Lin, H., Weiss, S., Trompet, S., van den Berg, M. E., Soliman, E. Z., Chen, L. Y., Ford, I., Jukema, J. W., Macfarlane, P. W., Kornej, J., Lunetta, K. L., Kavousi, M., Kors, J. A., Ikram, M. A., Guo, X., Yao, J., Dörr, M., Felix, S. B., Völker, U., Sotoodehnia, N., Arking, D. E., Stricker, B. H., Heckbert, S. R., Benjamin, E. J., Lubitz, S. A., Alonso, A., Ellinor, P. T., van der Harst, P., Rienstra, M., Siland, J. E., Geelhoed, B., Roselli, C., Wang, B., Lin, H., Weiss, S., Trompet, S., van den Berg, M. E., Soliman, E. Z., Chen, L. Y., Ford, I., Jukema, J. W., Macfarlane, P. W., Kornej, J., Lunetta, K. L., Kavousi, M., Kors, J. A., Ikram, M. A., Guo, X., Yao, J., Dörr, M., Felix, S. B., Völker, U., Sotoodehnia, N., Arking, D. E., Stricker, B. H., Heckbert, S. R., Benjamin, E. J., Lubitz, S. A., Alonso, A., Ellinor, P. T., van der Harst, P., and Rienstra, M.
- Abstract
Background Both elevated and low resting heart rates are associated with atrial fibrillation (AF), suggesting a U-shaped relationship. However, evidence for a U-shaped causal association between genetically-determined resting heart rate and incident AF is limited. We investigated potential directional changes of the causal association between genetically-determined resting heart rate and incident AF. Method and results Seven cohorts of the AFGen consortium contributed data to this meta-analysis. All participants were of European ancestry with known AF status, genotype information, and a heart rate measurement from a baseline electrocardiogram (ECG). Three strata of instrumental variable-free resting heart rate were used to assess possible non-linear associations between genetically-determined resting heart rate and the logarithm of the incident AF hazard rate: <65; 65–75; and >75 beats per minute (bpm). Mendelian randomization analyses using a weighted resting heart rate polygenic risk score were performed for each stratum. We studied 38,981 individuals (mean age 59±10 years, 54% women) with a mean resting heart rate of 67±11 bpm. During a mean follow-up of 13±5 years, 4,779 (12%) individuals developed AF. A U-shaped association between the resting heart rate and the incident AF-hazard ratio was observed. Genetically-determined resting heart rate was inversely associated with incident AF for instrumental variable-free resting heart rates below 65 bpm (hazard ratio for genetically-determined resting heart rate, 0.96; 95% confidence interval, 0.94–0.99; p = 0.01). Genetically-determined resting heart rate was not associated with incident AF in the other two strata. Conclusions For resting heart rates below 65 bpm, our results support an inverse causal association between genetically-determined resting heart rate and incident AF.
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- 2022
47. Multi-phenotype analyses of hemostatic traits with cardiovascular events reveal novel genetic associations
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Temprano-Sagrera, G, Sitlani, CM, Bone, WP, Martin-Bornez, M, Voight, BF, Morrison, AC, Damrauer, SM, de Vries, PS, Smith, NL, Sabater-Lleal, M, Krupinksi, J, Dehghan, A, Heath, AS, Reiner, AP, Johnson, A, Richmond, A, Peters, A, van Hylckama Vlieg, A, McKnight, B, Psaty, BM, Hayward, C, Ward-Caviness, C, O’Donnell, C, Chasman, D, Strachan, DP, Tregouet, DA, Mook-Kanamori, D, Gill, D, Thibord, F, Asselbergs, FW, Leebeek, FWG, Rosendaal, FR, Davies, G, Homuth, G, Temprano, G, Campbell, H, Taylor, HA, Bressler, J, Huffman, JE, Rotter, JI, Yao, J, Wilson, JF, Bis, JC, Hahn, JM, Desch, KC, Wiggins, KL, Raffield, LM, Bielak, LF, Yanek, LR, Kleber, ME, Mueller, M, Kavousi, M, Mangino, M, Liu, M, Brown, MR, Conomos, MP, Jhun, MA, Chen, MH, de Maat, MPM, Pankratz, N, Peyser, PA, Elliot, P, Wei, P, Wild, PS, Morange, PE, van der Harst, P, Yang, Q, Le, NQ, Marioni, R, Li, R, Cox, SR, Trompet, S, Felix, SB, Völker, U, Tang, W, Koenig, W, Jukema, JW, Guo, X, Lindstrom, S, Wang, L, Smith, EN, Gordon, W, de Andrade, M, Brody, JA, Pattee, JW, Haessler, J, Brumpton, BM, Chasman, DI, Suchon, P, Turman, C, Germain, M, MacDonald, J, Braekkan, SK, Armasu, SM, Temprano-Sagrera, G, Sitlani, CM, Bone, WP, Martin-Bornez, M, Voight, BF, Morrison, AC, Damrauer, SM, de Vries, PS, Smith, NL, Sabater-Lleal, M, Krupinksi, J, Dehghan, A, Heath, AS, Reiner, AP, Johnson, A, Richmond, A, Peters, A, van Hylckama Vlieg, A, McKnight, B, Psaty, BM, Hayward, C, Ward-Caviness, C, O’Donnell, C, Chasman, D, Strachan, DP, Tregouet, DA, Mook-Kanamori, D, Gill, D, Thibord, F, Asselbergs, FW, Leebeek, FWG, Rosendaal, FR, Davies, G, Homuth, G, Temprano, G, Campbell, H, Taylor, HA, Bressler, J, Huffman, JE, Rotter, JI, Yao, J, Wilson, JF, Bis, JC, Hahn, JM, Desch, KC, Wiggins, KL, Raffield, LM, Bielak, LF, Yanek, LR, Kleber, ME, Mueller, M, Kavousi, M, Mangino, M, Liu, M, Brown, MR, Conomos, MP, Jhun, MA, Chen, MH, de Maat, MPM, Pankratz, N, Peyser, PA, Elliot, P, Wei, P, Wild, PS, Morange, PE, van der Harst, P, Yang, Q, Le, NQ, Marioni, R, Li, R, Cox, SR, Trompet, S, Felix, SB, Völker, U, Tang, W, Koenig, W, Jukema, JW, Guo, X, Lindstrom, S, Wang, L, Smith, EN, Gordon, W, de Andrade, M, Brody, JA, Pattee, JW, Haessler, J, Brumpton, BM, Chasman, DI, Suchon, P, Turman, C, Germain, M, MacDonald, J, Braekkan, SK, and Armasu, SM
- Abstract
Background: Multi-phenotype analysis of genetically correlated phenotypes can increase the statistical power to detect loci associated with multiple traits, leading to the discovery of novel loci. This is the first study to date to comprehensively analyze the shared genetic effects within different hemostatic traits, and between these and their associated disease outcomes. Objectives: To discover novel genetic associations by combining summary data of correlated hemostatic traits and disease events. Methods: Summary statistics from genome wide-association studies (GWAS) from seven hemostatic traits (factor VII [FVII], factor VIII [FVIII], von Willebrand factor [VWF] factor XI [FXI], fibrinogen, tissue plasminogen activator [tPA], plasminogen activator inhibitor 1 [PAI-1]) and three major cardiovascular (CV) events (venous thromboembolism [VTE], coronary artery disease [CAD], ischemic stroke [IS]), were combined in 27 multi-trait combinations using metaUSAT. Genetic correlations between phenotypes were calculated using Linkage Disequilibrium Score Regression (LDSC). Newly associated loci were investigated for colocalization. We considered a significance threshold of 1.85 × 10−9 obtained after applying Bonferroni correction for the number of multi-trait combinations performed (n = 27). Results: Across the 27 multi-trait analyses, we found 4 novel pleiotropic loci (XXYLT1, KNG1, SUGP1/MAU2, TBL2/MLXIPL) that were not significant in the original individual datasets, were not described in previous GWAS for the individual traits, and that presented a common associated variant between the studied phenotypes. Conclusions: The discovery of four novel loci contributes to the understanding of the relationship between hemostasis and CV events and elucidate common genetic factors between these traits.
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- 2022
48. Resting heart rate and incident atrial fibrillation: A stratified Mendelian randomization in the AFGen consortium
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Circulatory Health, Team Medisch, Siland, J E, Geelhoed, B, Roselli, C, Wang, B, Lin, H J, Weiss, S, Trompet, S, van den Berg, M E, Soliman, E Z, Chen, L Y, Ford, I, Jukema, J W, Macfarlane, P W, Kornej, J, Lin, H, Lunetta, K L, Kavousi, M, Kors, J A, Ikram, M A, Guo, X, Yao, J, Dörr, M, Felix, S B, Völker, U, Sotoodehnia, N, Arking, D E, Stricker, B H, Heckbert, S R, Lubitz, S A, Benjamin, E J, Alonso, A, Ellinor, P T, van der Harst, P, Rienstra, M, Circulatory Health, Team Medisch, Siland, J E, Geelhoed, B, Roselli, C, Wang, B, Lin, H J, Weiss, S, Trompet, S, van den Berg, M E, Soliman, E Z, Chen, L Y, Ford, I, Jukema, J W, Macfarlane, P W, Kornej, J, Lin, H, Lunetta, K L, Kavousi, M, Kors, J A, Ikram, M A, Guo, X, Yao, J, Dörr, M, Felix, S B, Völker, U, Sotoodehnia, N, Arking, D E, Stricker, B H, Heckbert, S R, Lubitz, S A, Benjamin, E J, Alonso, A, Ellinor, P T, van der Harst, P, and Rienstra, M
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- 2022
49. Obesity Partially Mediates the Diabetogenic Effect of Lowering LDL Cholesterol
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Universitat Rovira i Virgili, Wu P; Moon JY; Daghlas I; Franco G; Porneala BC; Ahmadizar F; Richardson TG; Isaksen JL; Hindy G; Yao J; Sitlani CM; Raffield LM; Yanek LR; Feitosa MF; Cuadrat RRC; Qi Q; Ikram MA; Ellervik C; Ericson U; Goodarzi MO; Brody JA; Lange L; Mercader JM; Vaidya D; An P; Schulze MB; Masana L; Ghanbari M; Olesen MS; Cai J; Guo X; Floyd JS; Jager S; Province MA; Kalyani RR; Psaty BM; Orho-Melander M; Ridker PM; Kanters JK; Uitterlinden A; Smith GD; Gill D; Kaplan RC; Kavousi M; Raghavan S; Chasman DI; Rotter JI; Meigs JB; Florez JC; Dupuis J; Liu CT; Merino J, Universitat Rovira i Virgili, and Wu P; Moon JY; Daghlas I; Franco G; Porneala BC; Ahmadizar F; Richardson TG; Isaksen JL; Hindy G; Yao J; Sitlani CM; Raffield LM; Yanek LR; Feitosa MF; Cuadrat RRC; Qi Q; Ikram MA; Ellervik C; Ericson U; Goodarzi MO; Brody JA; Lange L; Mercader JM; Vaidya D; An P; Schulze MB; Masana L; Ghanbari M; Olesen MS; Cai J; Guo X; Floyd JS; Jager S; Province MA; Kalyani RR; Psaty BM; Orho-Melander M; Ridker PM; Kanters JK; Uitterlinden A; Smith GD; Gill D; Kaplan RC; Kavousi M; Raghavan S; Chasman DI; Rotter JI; Meigs JB; Florez JC; Dupuis J; Liu CT; Merino J
- Abstract
OBJECTIVE LDL cholesterol (LDLc)-lowering drugs modestly increase body weight and type 2 diabetes risk, but the extent to which the diabetogenic effect of lowering LDLc is mediated through increased BMI is unknown. RESEARCH DESIGN AND METHODS We conducted summary-level univariable and multivariable Mendelian randomization (MR) analyses in 921,908 participants to investigate the effect of lowering LDLc on type 2 diabetes risk and the proportion of this effect mediated through BMI. We used data from 92,532 participants from 14 observational studies to replicate findings in individual-level MR analyses. RESULTS A 1-SD decrease in genetically predicted LDLc was associated with increased type 2 diabetes odds (odds ratio [OR] 1.12 [95% CI 1.01, 1.24]) and BMI (b 5 0.07 SD units [95% CI 0.02, 0.12]) in univariable MR analyses. The multivariable MR analysis showed evidence of an indirect effect of lowering LDLc on type 2 diabetes through BMI (OR 1.04 [95% CI 1.01, 1.08]) with a proportion mediated of 38% of the total effect (P 5 0.03). Total and indirect effect estimates were similar across a number of sensitivity analyses. Individual-level MR analyses confirmed the indirect effect of lowering LDLc on type 2 diabetes through BMI with an estimated proportion mediated of 8% (P 5 0.04). CONCLUSIONS These findings suggest that the diabetogenic effect attributed to lowering LDLc is partially mediated through increased BMI. Our results could help advance understanding of adipose tissue and lipids in type 2 diabetes pathophysiology and inform strategies to reduce diabetes risk among individuals taking LDLc-lowering medications.
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- 2022
50. von Willebrand factor plasma levels, genetic variations and coronary heart disease in an older population
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van LOON, J.E., KAVOUSI, M., LEEBEEK, F.W.G., FELIX, J.F., HOFMAN, A., WITTEMAN, J.C.M., and de MAAT, M.P.M.
- Published
- 2012
- Full Text
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