Search

Your search keyword '"Nikitin, Y"' showing total 465 results
Start Over Author "Nikitin, Y"
465 results on '"Nikitin, Y"'

1. Russian Arctic Areas: Sustainable Development

Author

Babkina, L. N., Skotarenko, O. V., Tsareva, S. V., Nikitin, Y. A., Khatsenko, E. S., di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Rybnov, Evgeny, editor, Nikolaev, Anatoly, editor, and Skotarenko, Oksana, editor

Published
2023
Full Text
View/download PDF

2. Energy Resources in Arctic Regions: Status and Development Prospects

Author

Babkina, L. N., Skotarenko, O. V., Nikitin, Y. A., Khatsenko, E. S., di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Rybnov, Evgeny, editor, Nikolaev, Anatoly, editor, and Skotarenko, Oksana, editor

Published
2023
Full Text
View/download PDF

6. Alcohol intake and total mortality in 142 960 individuals from the MORGAM Project: a population-based study

Author

Di Castelnuovo, A, Costanzo, S, Bonaccio, M, Mcelduff, P, Linneberg, A, Salomaa, V, Mannisto, S, Moitry, M, Ferrieres, J, Dallongeville, J, Thorand, B, Brenner, H, Ferrario, M, Veronesi, G, Pettenuzzo, E, Tamosiunas, A, Njolstad, I, Drygas, W, Nikitin, Y, Soderberg, S, Kee, F, Grassi, G, Westermann, D, Schrage, B, Dabboura, S, Zeller, T, Kuulasmaa, K, Blankenberg, S, Donati, M, de Gaetano, G, Iacoviello, L, Di Castelnuovo A., Costanzo S., Bonaccio M., McElduff P., Linneberg A., Salomaa V., Mannisto S., Moitry M., Ferrieres J., Dallongeville J., Thorand B., Brenner H., Ferrario M., Veronesi G., Pettenuzzo E., Tamosiunas A., Njolstad I., Drygas W., Nikitin Y., Soderberg S., Kee F., Grassi G., Westermann D., Schrage B., Dabboura S., Zeller T., Kuulasmaa K., Blankenberg S., Donati M. B., de Gaetano G., Iacoviello L., Di Castelnuovo, A, Costanzo, S, Bonaccio, M, Mcelduff, P, Linneberg, A, Salomaa, V, Mannisto, S, Moitry, M, Ferrieres, J, Dallongeville, J, Thorand, B, Brenner, H, Ferrario, M, Veronesi, G, Pettenuzzo, E, Tamosiunas, A, Njolstad, I, Drygas, W, Nikitin, Y, Soderberg, S, Kee, F, Grassi, G, Westermann, D, Schrage, B, Dabboura, S, Zeller, T, Kuulasmaa, K, Blankenberg, S, Donati, M, de Gaetano, G, Iacoviello, L, Di Castelnuovo A., Costanzo S., Bonaccio M., McElduff P., Linneberg A., Salomaa V., Mannisto S., Moitry M., Ferrieres J., Dallongeville J., Thorand B., Brenner H., Ferrario M., Veronesi G., Pettenuzzo E., Tamosiunas A., Njolstad I., Drygas W., Nikitin Y., Soderberg S., Kee F., Grassi G., Westermann D., Schrage B., Dabboura S., Zeller T., Kuulasmaa K., Blankenberg S., Donati M. B., de Gaetano G., and Iacoviello L.

Abstract

Aim: To test the association of alcohol consumption with total and cause-specific mortality risk. Design: Prospective observational multi-centre population-based study. Setting: Sixteen cohorts (15 from Europe) in the MOnica Risk, Genetics, Archiving and Monograph (MORGAM) Project. Participants: A total of 142 960 individuals (mean age 50 ± 13 years, 53.9% men). Measurements: Average alcohol intake by food frequency questionnaire, total and cause-specific mortality. Findings: In comparison with life-time abstainers, consumption of alcohol less than 10 g/day was associated with an average 11% [95% confidence interval (CI) = 7–14%] reduction in the risk of total mortality, while intake > 20 g/day was associated with a 13% (95% CI = 7–20%) increase in the risk of total mortality. Comparable findings were observed for cardiovascular (CV) deaths. With regard to cancer, drinking up to 10 g/day was not associated with either mortality risk reduction or increase, while alcohol intake > 20 g/day was associated with a 22% (95% CI = 10–35%) increased risk of mortality. The association of alcohol with fatal outcomes was similar in men and women, differed somewhat between countries and was more apparent in individuals preferring wine, suggesting that benefits may not be due to ethanol but other ingredients. Mediation analysis showed that high-density lipoprotein cholesterol explained 2.9 and 18.7% of the association between low alcohol intake and total as well as CV mortality, respectively. Conclusions: In comparison with life-time abstainers, consuming less than one drink per day (nadir at 5 g/day) was associated with a reduced risk of total, cardiovascular and other causes mortality, except cancer. Intake of more than two drinks per day was associated with an increased risk of total, cardiovascular and especially cancer mortality.

Published
2022

8. SCORE2 risk prediction algorithms: new models to estimate 10-year risk of cardiovascular disease in Europe

Author

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

Subjects
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)

Published
2021
Full Text
View/download PDF

12. Ambulatory blood pressure monitoring for risk stratification in obese and non-obese subjects from 10 populations

Author

Hansen, T W, Thijs, L, Li, Y, Boggia, J, Liu, Y, Asayama, K, Kikuya, M, Björklund-Bodegård, K, Ohkubo, T, Jeppesen, J, Torp-Pedersen, C, Dolan, E, Kuznetsova, T, Stolarz-Skrzypek, K, Tikhonoff, V, Malyutina, S, Casiglia, E, Nikitin, Y, Lind, L, Sandoya, E, Kawecka-Jaszcz, K, Filipovský, J, Imai, Y, Wang, J, O'Brien, E, and Staessen, J A

Published
2014
Full Text
View/download PDF

25. SCORE2 risk prediction algorithms: new models to estimate 10-year risk of cardiovascular disease in Europe

Author

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, Bakker, SJL, Da Providencia Costa, RB, Beulens, JWJ, Boer, JMA, Boutron-Ruault, MC, Brunner, EJ, Butterworth, AS, Cook, NR, Dahm, CC, Gansevoort, RT, Gillum, RF, Hansson, PO, Ikram, MK, Kronmal, RA, Pablos, DL, Malyutina, So, Ibañez, AM, Mathiesen, EB, Meade, TW, Meyer, HE, Moons, KGM, Nordestgaard, BG, Psaty, BM, Garcia, JRQ, Ridker, PM, C Sans, Schwartz, JE, Selmer, RM, Shipley, MJ, Tong, TYN, van der Schouw, YT, Verschuren, WMM, Wareham, NJ, 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, Bakker, SJL, Da Providencia Costa, RB, Beulens, JWJ, Boer, JMA, Boutron-Ruault, MC, Brunner, EJ, Butterworth, AS, Cook, NR, Dahm, CC, Gansevoort, RT, Gillum, RF, Hansson, PO, Ikram, MK, Kronmal, RA, Pablos, DL, Malyutina, So, Ibañez, AM, Mathiesen, EB, Meade, TW, Meyer, HE, Moons, KGM, Nordestgaard, BG, Psaty, BM, Garcia, JRQ, Ridker, PM, C Sans, Schwartz, JE, Selmer, RM, Shipley, MJ, Tong, TYN, van der Schouw, YT, Verschuren, WMM, and Wareham, NJ

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.

Published
2021

29. Association of Fatal and Nonfatal Cardiovascular Outcomes With 24-Hour Mean Arterial Pressure

Author

Melgarejo, Jesus D., primary, Yang, Wen-Yi, additional, Thijs, Lutgarde, additional, Li, Yan, additional, Asayama, Kei, additional, Hansen, Tine W., additional, Wei, Fang-Fei, additional, Kikuya, Masahiro, additional, Ohkubo, Takayoshi, additional, Dolan, Eamon, additional, Stolarz-Skrzypek, Katarzyna, additional, Huang, Qi-Fang, additional, Tikhonoff, Valérie, additional, Malyutina, Sofia, additional, Casiglia, Edoardo, additional, Lind, Lars, additional, Sandoya, Edgardo, additional, Filipovský, Jan, additional, Gilis-Malinowska, Natasza, additional, Narkiewicz, Krzysztof, additional, Kawecka-Jaszcz, Kalina, additional, Boggia, José, additional, Wang, Ji-Guang, additional, Imai, Yutaka, additional, Vanassche, Thomas, additional, Verhamme, Peter, additional, Janssens, Stefan, additional, O’Brien, Eoin, additional, Maestre, Gladys E., additional, Staessen, Jan A., additional, Zhang, Zhen-Yu, additional, Seidlerová, J., additional, Tichá, M., additional, Ibsen, H., additional, Jeppesen, J., additional, Rasmussen, S., additional, Torp-Pedersen, C., additional, Pizzioli, A., additional, Hashimoto, J., additional, Hoshi, H., additional, Inoue, R., additional, Metoki, H., additional, Obara, T., additional, Satoh, H., additional, Totsune, K., additional, Adamkiewicz-Piejko, A., additional, Cwynar, M., additional, Gąsowski, J., additional, Grodzicki, T., additional, Lubaszewski, W., additional, Olszanecka, A., additional, Wizner, B., additional, Wojciechowska, W., additional, Zyczkowska, J., additional, Nikitin, Y., additional, Pello, E., additional, Simonova, G., additional, Voevoda, M., additional, Andrén, B., additional, Berglund, L., additional, Björklund-Bodegård, K., additional, Zethelius, B., additional, Bianchi, M., additional, Moreira, V., additional, Schettini, C., additional, Schwedt, E., additional, and Senra, H., additional

Published
2021
Full Text
View/download PDF

34. Lipids trajectories in older age

Author

Malyutina, S., primary, Hubacek, J.A., additional, Stefler, D., additional, Ragino, Y., additional, Pikhart, H., additional, Holmes, M., additional, Peasey, A., additional, Stakhneva, E., additional, Ryabikov, A., additional, Bobak, M., additional, and Nikitin, Y., additional

Published
2020
Full Text
View/download PDF

37. The influence of samples production parameters on the structure and mechanical properties of wrought aluminum alloys of the Al-Cu-Mg system

Author

Chumaevskii, A. V., primary, Kalashnikova, T. A., additional, Zhukov, L. L., additional, Gusarova, A. V., additional, Ivanov, A. N., additional, Beloborodov, V. A., additional, Kolubaev, E. A., additional, Rubtsov, V. E., additional, Tyurin, A. G., additional, Bakshaev, V. A., additional, and Nikitin, Y. V., additional

Published
2020
Full Text
View/download PDF

39. DYNAMICS OF THE SYNTHESIS OF NITRIC OXIDE IN INFLUENZA A AND THE NECESSITY OF PHARMACOLOGICAL INFLUENCE

Author

Vereshchagina, O. I., Nikitin, Y. V., and Shevchenko, I. M.

Abstract

Vereshchagina O. I., Nikitin Y. V., Shevchenko I. M. DYNAMICS OF THE SYNTHESIS OF NITRIC OXIDE IN influenza A AND THE NECESSITY OF PHARMACOLOGICAL INFLUENCE. ВІСНИК МОРСЬКОЇ МЕДИЦИНИ. 2019;2(83):64-70. ISSN 0049-6804. DOI http://dx.doi.org/10.5281/zenodo.3267379 http://www.herald.com.ua UDК 616.921.5:577.151.5/7:546.172.6]-085 DYNAMICS OF THE SYNTHESIS OF NITRIC OXIDE IN influenza A AND THE NECESSITY OF PHARMACOLOGICAL INFLUENCE O. I. Vereshchagina, Y. V. Nikitin, I. M. Shevchenko Odessa National Medical University e-mail: inform.bib@odmu.edu. Summary In the article the dynamics of changes in the content of the concentration of active metabolites nitric oxide in influenza A, depending on the severity of the flow was analyzed. 158 patients with influenza A were examined, direct correlation between the severity of the disease, manifestations of oxidative stress and supersynthesis of nitric oxide was established. The main factors of the risk of severe flu and their significance are identified. Key words: influenza A, nitric oxide, peroxidation of lipids, circulating endothelial cells, pathogenetic treatment of influenza.

Published
2019
Full Text
View/download PDF

40. Association of Office and Ambulatory Blood Pressure With Mortality and Cardiovascular Outcomes

Author

Yang, Wen-Yi, Melgarejo, Jesus D, Thijs, Lutgarde, Zhang, Zhen-Yu, Boggia, Jose, Wei, Fang-Fei, Hansen, Tine W, Asayama, Kei, Ohkubo, Takayoshi, Jeppesen, Jorgen, Dolan, Eamon, Stolarz-Skrzypek, Katarzyna, Malyutina, Sofia, Casiglia, Edoardo, Lind, Lars, Filipovsky, Jan, Maestre, Gladys E, Li, Yan, Wang, Ji-Guang, Imai, Yutaka, Kawecka-Jaszcz, Kalina, Sandoya, Edgardo, Narkiewicz, Krzysztof, O'Brien, Eoin, Verhamme, Peter, Staessen, Jan A, Mujaj, B, Cauwenberghs, N, Kuznetsova, T, Yang, W-Y, Yu, C-G, Sheng, C-S, Huang, Q-F, Seidlerova, J, Ticha, M, Ibsen, H, Rasmussen, S, Torp-Pedersen, C, Pizzioli, A, Tikhonoff, V, Hashimoto, J, Hoshi, H, Inoue, R, Kikuya, M, Metoki, H, Obara, T, Satoh, H, Totsune, K, Gilis-Malinowska, N, Adamkiewicz-Piejko, A, Cwynar, M, Gasowski, J, Grodzicki, T, Lubaszewski, W, Olszanecka, A, Wizner, B, Wojciechowska, W, Zyczkowska, J, Nikitin, Y, Pello, E, Simonova, G, Voevoda, M, Andren, B, Berglund, L, Bjorklund-Bodegard, K, Zethelius, B, Bianchi, M, Moreira, V, Schettini, C, Schwedt, E, Senra, H, RS: CARIM - R3.02 - Hypertension and target organ damage, and RS: Carim - V02 Hypertension and target organ damage

Subjects
Adult, Male, medicine.medical_specialty, Ambulatory blood pressure, PREDICTION, Cost-Benefit Analysis, Population, Blood Pressure, 01 natural sciences, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, Internal medicine, Medicine, Humans, CORONARY-HEART-DISEASE, 030212 general & internal medicine, Longitudinal Studies, 0101 mathematics, Risk factor, education, International Database on Ambulatory Blood Pressure in Relation to Cardiovascular Outcomes (IDACO) Investigators, Stroke, Original Investigation, Proportional Hazards Models, RISK, education.field_of_study, HYPERTENSION, business.industry, Proportional hazards model, 010102 general mathematics, Hazard ratio, Blood Pressure Determination, General Medicine, Blood Pressure Monitoring, Ambulatory, Middle Aged, medicine.disease, PREVENTION, Circadian Rhythm, PATTERN, Blood pressure, Cardiovascular Diseases, Cardiology, Female, business, Cohort study
Abstract

IMPORTANCE: Blood pressure (BP) is a known risk factor for overall mortality and cardiovascular (CV)-specific fatal and nonfatal outcomes. It is uncertain which BP index is most strongly associated with these outcomes. OBJECTIVE: To evaluate the association of BP indexes with death and a composite CV event. DESIGN, SETTING, AND PARTICIPANTS: Longitudinal population-based cohort study of 11 135 adults from Europe, Asia, and South America with baseline observations collected from May 1988 to May 2010 (last follow-ups, August 2006-October 2016). EXPOSURES: Blood pressure measured by an observer or an automated office machine; measured for 24 hours, during the day or the night; and the dipping ratio (nighttime divided by daytime readings). MAIN OUTCOMES AND MEASURES: Multivariable-adjusted hazard ratios (HRs) expressed the risk of death or a CV event associated with BP increments of 20/10 mm Hg. Cardiovascular events included CV mortality combined with nonfatal coronary events, heart failure, and stroke. Improvement in model performance was assessed by the change in the area under the curve (AUC). RESULTS: Among 11 135 participants (median age, 54.7 years, 49.3% women), 2836 participants died (18.5 per 1000 person-years) and 2049 (13.4 per 1000 person-years) experienced a CV event over a median of 13.8 years of follow-up. Both end points were significantly associated with all single systolic BP indexes (P

Published
2019

41. Opposing age-related trends in absolute and relative risk of adverse health outcomes associated with out-of-office blood pressure

Author

Li, Y. Thijs, L. Zhang, Z.-Y. Asayama, K. Hansen, T.W. Boggia, J. Björklund-Bodegård, K. Yang, W.-Y. Niiranen, T.J. Ntineri, A. Wei, F.-F. Kikuya, M. Ohkubo, T. Dolan, E. Hozawa, A. Tsuji, I. Stolarz-Skrzypek, K. Huang, Q.-F. Melgarejo, J.D. Tikhonoff, V. Malyutina, S. Casiglia, E. Nikitin, Y. Lind, L. Sandoya, E. Aparicio, L. Barochiner, J. Gilis-Malinowska, N. Narkiewicz, K. Kawecka-Jaszcz, K. Maestre, G.E. Jula, A.M. Johansson, J.K. Kuznetsova, T. Filipovský, J. Stergiou, G. Wang, J.-G. Imai, Y. O'Brien, E. Staessen, J.A.

Abstract

Participant-level meta-analyses assessed the age-specific relevance of office blood pressure to cardiovascular complications, but this information is lacking for out-of-office blood pressure. At baseline, daytime ambulatory (n=12 624) or home (n=5297) blood pressure were measured in 17 921 participants (51.3% women; mean age, 54.2 years) from 17 population cohorts. Subsequently, mortality and cardiovascular events were recorded. Using multivariable Cox regression, floating absolute risk was computed across 4 age bands (≤60, 61-70, 71-80, and >80 years). Over 236 491 person-years, 3855 people died and 2942 cardiovascular events occurred. From levels as low as 110/65 mm Hg, risk log-linearly increased with higher out-of-office systolic/diastolic blood pressure. From the youngest to the oldest age group, rates expressed per 1000 person-years increased (P

Published
2019

43. Application of non-HDL cholesterol for population-based cardiovascular risk stratification: results from the Multinational Cardiovascular Risk Consortium

Author

Brunner, F.J. (Fabian J), Waldeyer, C. (Christoph), Ojeda, F. (Francisco), Salomaa, V. (Veikko), Kee, F. (F.), Sans, S. (Susana), Thorand, B. (Barbara), Giampaoli, S. (Simona), Brambilla, P. (Paolo), Tunstall-Pedoe, H. (Hugh), Moitry, M. (Marie), Iacoviello, L. (Licia), Veronesi, G. (Giovanni), Grassi, G. (Guido), Mathiesen, E.B. (Ellisiv), Söderberg, S. (Stefan), Linneberg, A. (Allan), Brenner, H. (Hermann), Amouyel, P. (Philippe), Ferrières, J. (Jean), Tamosiunas, A. (Abdonas), Nikitin, Y., Drygas, W. (Wojciech), Melander, O. (Olle), JöCkel, K.-H. (Karl-Heinz), Leistner, D.M. (David M), Shaw, J.E., Panagiotakos, D.B. (Demosthenes), Simons, L.A. (Leon), Kavousi, M. (Maryam), Vasan, R.S. (Ramachandran Srini), Dullaart, R.P.F. (Robin P.F.), Wannamethee, S.G. (Goya), Riserus, U. (Ulf), Shea, S. (Steven), de Lemos, J.A. (James A), Omland, T. (Torbjørn), Kuulasmaa, K. (Kari), Landmesser, U. (Ulf), Blankenberg, S. (Stefan), Zeller, T. (Tanja), Kontto, J. (Jukka), Männistö, S. (Satu), Metspalu, A. (Andres), Lackner, K.J. (Karl), Wild, P.S. (Philipp), Peters, A. (Annette), Meisinger, C. (Christa), Donfrancesco, C. (Chiara), Signorini, S. (Stefano), Alver, M. (Maris), Woodward, M. (Mark), Gianfagna, F. (Francesco), Costanzo, S. (Simona), Wilsgaard, T. (Tom), Eliasson, M. (Mats), Jorgensen, T. (Torben), Völzke, H. (Henry), Dörr, M. (Marcus), Nauck, M. (Matthias), Schöttker, B. (Ben), Lorenz, T. (Thiess), Makarova, N. (Nataliya), Twerenbold, R. (Raphael), Dallongeville, J., Dobson, A. (Annette), Malyutina, S., Pajak, A. (Andrzej), Engström, G., Bobak, M. (Martin), Schmidt, B. (Börge), Jääskeläinen, T. (Tuija), Niiranen, T. (Teemu), Jousilahti, P. (Pekka), Giles, G. (Graham), Hodge, A. (Allison), Klotsche, J. (Jens), Magliano, D.J., Lyngbakken, M.N. (Magnus N.), Hveem, K. (Kristian), Pitsavos, C. (Christos), Benjamin, E.J. (Emelia J.), Bakker, S.J.L. (Stephan), Whincup, P.H. (Peter), Ikram, M.K. (M. Kamran), Ingelsson, M. (Martin), Koenig, W. (Wolfgang), Brunner, F.J. (Fabian J), Waldeyer, C. (Christoph), Ojeda, F. (Francisco), Salomaa, V. (Veikko), Kee, F. (F.), Sans, S. (Susana), Thorand, B. (Barbara), Giampaoli, S. (Simona), Brambilla, P. (Paolo), Tunstall-Pedoe, H. (Hugh), Moitry, M. (Marie), Iacoviello, L. (Licia), Veronesi, G. (Giovanni), Grassi, G. (Guido), Mathiesen, E.B. (Ellisiv), Söderberg, S. (Stefan), Linneberg, A. (Allan), Brenner, H. (Hermann), Amouyel, P. (Philippe), Ferrières, J. (Jean), Tamosiunas, A. (Abdonas), Nikitin, Y., Drygas, W. (Wojciech), Melander, O. (Olle), JöCkel, K.-H. (Karl-Heinz), Leistner, D.M. (David M), Shaw, J.E., Panagiotakos, D.B. (Demosthenes), Simons, L.A. (Leon), Kavousi, M. (Maryam), Vasan, R.S. (Ramachandran Srini), Dullaart, R.P.F. (Robin P.F.), Wannamethee, S.G. (Goya), Riserus, U. (Ulf), Shea, S. (Steven), de Lemos, J.A. (James A), Omland, T. (Torbjørn), Kuulasmaa, K. (Kari), Landmesser, U. (Ulf), Blankenberg, S. (Stefan), Zeller, T. (Tanja), Kontto, J. (Jukka), Männistö, S. (Satu), Metspalu, A. (Andres), Lackner, K.J. (Karl), Wild, P.S. (Philipp), Peters, A. (Annette), Meisinger, C. (Christa), Donfrancesco, C. (Chiara), Signorini, S. (Stefano), Alver, M. (Maris), Woodward, M. (Mark), Gianfagna, F. (Francesco), Costanzo, S. (Simona), Wilsgaard, T. (Tom), Eliasson, M. (Mats), Jorgensen, T. (Torben), Völzke, H. (Henry), Dörr, M. (Marcus), Nauck, M. (Matthias), Schöttker, B. (Ben), Lorenz, T. (Thiess), Makarova, N. (Nataliya), Twerenbold, R. (Raphael), Dallongeville, J., Dobson, A. (Annette), Malyutina, S., Pajak, A. (Andrzej), Engström, G., Bobak, M. (Martin), Schmidt, B. (Börge), Jääskeläinen, T. (Tuija), Niiranen, T. (Teemu), Jousilahti, P. (Pekka), Giles, G. (Graham), Hodge, A. (Allison), Klotsche, J. (Jens), Magliano, D.J., Lyngbakken, M.N. (Magnus N.), Hveem, K. (Kristian), Pitsavos, C. (Christos), Benjamin, E.J. (Emelia J.), Bakker, S.J.L. (Stephan), Whincup, P.H. (Peter), Ikram, M.K. (M. Kamran), Ingelsson, M. (Martin), and Koenig, W. (Wolfgang)

Abstract

Background: The relevance of blood lipid concentrations to long-term incidence of cardiovascular disease and the relevance of lipid-lowering therapy for cardiovascular disease outcomes is unclear. We investigated the cardiovascular disease risk associated with the full spectrum of bloodstream non-HDL cholesterol concentrations. We also created an easy-to-use tool to estimate the long-term probabilities for a cardiovascular disease event associated with non-HDL cholesterol and modelled its risk reduction by lipid-lowering treatment. Methods: In this risk-evaluation and risk-modelling study, we used Multinational Cardiovascular Risk Consortium data from 19 countries across Europe, Australia, and North America. Individuals without prevalent cardiovascular disease at baseline and with robust available data on cardiovascular disease outcomes were included. The primary composite endpoint of atherosclerotic cardiovascular disease was defined as the occurrence o

Published
2019
Full Text
View/download PDF

44. Application of non-HDL cholesterol for population-based cardiovascular risk stratification: results from the Multinational Cardiovascular Risk Consortium

Author

Brunner, F, Waldeyer, C, Ojeda, F, Salomaa, V, Kee, F, Sans, S, Thorand, B, Giampaoli, S, Brambilla, P, Tunstall-Pedoe, H, Moitry, M, Iacoviello, L, Veronesi, G, Grassi, G, Mathiesen, E, Söderberg, S, Linneberg, A, Brenner, H, Amouyel, P, Ferrières, J, Tamosiunas, A, Nikitin, Y, Drygas, W, Melander, O, Jöckel, K, Leistner, D, Shaw, J, Panagiotakos, D, Simons, L, Kavousi, M, Vasan, R, Dullaart, R, Wannamethee, S, Risérus, U, Shea, S, de Lemos, J, Omland, T, Kuulasmaa, K, Landmesser, U, Blankenberg, S, Zeller, T, Kontto, J, Männistö, S, Metspalu, A, Lackner, K, Wild, P, Peters, A, Meisinger, C, Donfrancesco, C, Signorini, S, Alver, M, Woodward, M, Gianfagna, F, Costanzo, S, Wilsgaard, T, Eliasson, M, Jørgensen, T, Völzke, H, Dörr, M, Nauck, M, Schöttker, B, Lorenz, T, Makarova, N, Twerenbold, R, Dallongeville, J, Dobson, A, Malyutina, S, Pajak, A, Engström, G, Bobak, M, Schmidt, B, Jääskeläinen, T, Niiranen, T, Jousilahti, P, Giles, G, Hodge, A, Klotsche, J, Magliano, D, Lyngbakken, M, Hveem, K, Pitsavos, C, Benjamin, E, Bakker, S, Whincup, P, Ikram, M, Ingelsson, M, Koenig, W, Brunner, Fabian J, Waldeyer, Christoph, Ojeda, Francisco, Salomaa, Veikko, Kee, Frank, Sans, Susana, Thorand, Barbara, Giampaoli, Simona, Brambilla, Paolo, Tunstall-Pedoe, Hugh, Moitry, Marie, Iacoviello, Licia, Veronesi, Giovanni, Grassi, Guido, Mathiesen, Ellisiv B, Söderberg, Stefan, Linneberg, Allan, Brenner, Hermann, Amouyel, Philippe, Ferrières, Jean, Tamosiunas, Abdonas, Nikitin, Yuriy P, Drygas, Wojciech, Melander, Olle, Jöckel, Karl-Heinz, Leistner, David M, Shaw, Jonathan E, Panagiotakos, Demosthenes B, Simons, Leon A, Kavousi, Maryam, Vasan, Ramachandran S, Dullaart, Robin P F, Wannamethee, S Goya, Risérus, Ulf, Shea, Steven, de Lemos, James A, Omland, Torbjørn, Kuulasmaa, Kari, Landmesser, Ulf, Blankenberg, Stefan, Zeller, Tanja, Kontto, Jukka, Männistö, Satu, Metspalu, Andres, Lackner, Karl, Wild, Philipp, Peters, Annette, Meisinger, Christa, Donfrancesco, Chiara, Signorini, Stefano G., Alver, Maris, Woodward, Mark, Gianfagna, Francesco, Costanzo, Simona, Wilsgaard, Tom, Eliasson, Mats, Jørgensen, Torben, Völzke, Henry, Dörr, Marcus, Nauck, Matthias, Schöttker, Ben, Lorenz, Thiess, Makarova, Nataliya, Twerenbold, Raphael, Dallongeville, Jean, Dobson, Annette, Malyutina, Sofia, Pajak, Andrzej, Engström, Gunnar, Bobak, Martin, Schmidt, Börge, Jääskeläinen, Tuija, Niiranen, Teemu, Jousilahti, Pekka, Giles, Graham, Hodge, Allison, Klotsche, Jens, Magliano, Dianna J., Lyngbakken, Magnus N., Hveem, Kristian, Pitsavos, Christos, Benjamin, Emelia J., Bakker, Stephan J. L., Whincup, Peter, Ikram, M. Kamran, Ingelsson, Martin, Koenig, Wolfgang, Brunner, F, Waldeyer, C, Ojeda, F, Salomaa, V, Kee, F, Sans, S, Thorand, B, Giampaoli, S, Brambilla, P, Tunstall-Pedoe, H, Moitry, M, Iacoviello, L, Veronesi, G, Grassi, G, Mathiesen, E, Söderberg, S, Linneberg, A, Brenner, H, Amouyel, P, Ferrières, J, Tamosiunas, A, Nikitin, Y, Drygas, W, Melander, O, Jöckel, K, Leistner, D, Shaw, J, Panagiotakos, D, Simons, L, Kavousi, M, Vasan, R, Dullaart, R, Wannamethee, S, Risérus, U, Shea, S, de Lemos, J, Omland, T, Kuulasmaa, K, Landmesser, U, Blankenberg, S, Zeller, T, Kontto, J, Männistö, S, Metspalu, A, Lackner, K, Wild, P, Peters, A, Meisinger, C, Donfrancesco, C, Signorini, S, Alver, M, Woodward, M, Gianfagna, F, Costanzo, S, Wilsgaard, T, Eliasson, M, Jørgensen, T, Völzke, H, Dörr, M, Nauck, M, Schöttker, B, Lorenz, T, Makarova, N, Twerenbold, R, Dallongeville, J, Dobson, A, Malyutina, S, Pajak, A, Engström, G, Bobak, M, Schmidt, B, Jääskeläinen, T, Niiranen, T, Jousilahti, P, Giles, G, Hodge, A, Klotsche, J, Magliano, D, Lyngbakken, M, Hveem, K, Pitsavos, C, Benjamin, E, Bakker, S, Whincup, P, Ikram, M, Ingelsson, M, Koenig, W, Brunner, Fabian J, Waldeyer, Christoph, Ojeda, Francisco, Salomaa, Veikko, Kee, Frank, Sans, Susana, Thorand, Barbara, Giampaoli, Simona, Brambilla, Paolo, Tunstall-Pedoe, Hugh, Moitry, Marie, Iacoviello, Licia, Veronesi, Giovanni, Grassi, Guido, Mathiesen, Ellisiv B, Söderberg, Stefan, Linneberg, Allan, Brenner, Hermann, Amouyel, Philippe, Ferrières, Jean, Tamosiunas, Abdonas, Nikitin, Yuriy P, Drygas, Wojciech, Melander, Olle, Jöckel, Karl-Heinz, Leistner, David M, Shaw, Jonathan E, Panagiotakos, Demosthenes B, Simons, Leon A, Kavousi, Maryam, Vasan, Ramachandran S, Dullaart, Robin P F, Wannamethee, S Goya, Risérus, Ulf, Shea, Steven, de Lemos, James A, Omland, Torbjørn, Kuulasmaa, Kari, Landmesser, Ulf, Blankenberg, Stefan, Zeller, Tanja, Kontto, Jukka, Männistö, Satu, Metspalu, Andres, Lackner, Karl, Wild, Philipp, Peters, Annette, Meisinger, Christa, Donfrancesco, Chiara, Signorini, Stefano G., Alver, Maris, Woodward, Mark, Gianfagna, Francesco, Costanzo, Simona, Wilsgaard, Tom, Eliasson, Mats, Jørgensen, Torben, Völzke, Henry, Dörr, Marcus, Nauck, Matthias, Schöttker, Ben, Lorenz, Thiess, Makarova, Nataliya, Twerenbold, Raphael, Dallongeville, Jean, Dobson, Annette, Malyutina, Sofia, Pajak, Andrzej, Engström, Gunnar, Bobak, Martin, Schmidt, Börge, Jääskeläinen, Tuija, Niiranen, Teemu, Jousilahti, Pekka, Giles, Graham, Hodge, Allison, Klotsche, Jens, Magliano, Dianna J., Lyngbakken, Magnus N., Hveem, Kristian, Pitsavos, Christos, Benjamin, Emelia J., Bakker, Stephan J. L., Whincup, Peter, Ikram, M. Kamran, Ingelsson, Martin, and Koenig, Wolfgang

Abstract

Background: The relevance of blood lipid concentrations to long-term incidence of cardiovascular disease and the relevance of lipid-lowering therapy for cardiovascular disease outcomes is unclear. We investigated the cardiovascular disease risk associated with the full spectrum of bloodstream non-HDL cholesterol concentrations. We also created an easy-to-use tool to estimate the long-term probabilities for a cardiovascular disease event associated with non-HDL cholesterol and modelled its risk reduction by lipid-lowering treatment. Methods: In this risk-evaluation and risk-modelling study, we used Multinational Cardiovascular Risk Consortium data from 19 countries across Europe, Australia, and North America. Individuals without prevalent cardiovascular disease at baseline and with robust available data on cardiovascular disease outcomes were included. The primary composite endpoint of atherosclerotic cardiovascular disease was defined as the occurrence of the coronary heart disease event or ischaemic stroke. Sex-specific multivariable analyses were computed using non-HDL cholesterol categories according to the European guideline thresholds, adjusted for age, sex, cohort, and classical modifiable cardiovascular risk factors. In a derivation and validation design, we created a tool to estimate the probabilities of a cardiovascular disease event by the age of 75 years, dependent on age, sex, and risk factors, and the associated modelled risk reduction, assuming a 50% reduction of non-HDL cholesterol. Findings: Of the 524 444 individuals in the 44 cohorts in the Consortium database, we identified 398 846 individuals belonging to 38 cohorts (184 055 [48·7%] women; median age 51·0 years [IQR 40·7–59·7]). 199 415 individuals were included in the derivation cohort (91 786 [48·4%] women) and 199 431 (92 269 [49·1%] women) in the validation cohort. During a maximum follow-up of 43·6 years (median 13·5 years, IQR 7·0–20·1), 54 542 cardiovascular endpoints occurred. Incidence c

Published
2019

46. The influence of samples production parameters on the structure and mechanical properties of wrought aluminum alloys of the Al-Cu-Mg system.

Author

Chumaevskii, A. V., Kalashnikova, T. A., Zhukov, L. L., Gusarova, A. V., Ivanov, A. N., Beloborodov, V. A., Kolubaev, E. A., Rubtsov, V. E., Tyurin, A. G., Bakshaev, V. A., Nikitin, Y. V., Panin, Victor E, and Fomin, Vasily M

Subjects
ALUMINUM alloys, FRICTION stir welding, TENSILE strength, ALUMINUM-lithium alloys, FRICTION stir processing, WELDED joints
Abstract

In this paper, regularities of the friction stir welding process parameters influence on mechanical properties of welded joints of different thicknesses are investigated. Joints were produced using the same type of tools with a screw-shaped pin. The tests show different dependencies of the joint mechanical behavior on the welding parameters. 2-mm-thick samples are characterized by high values of the ultimate tensile strength and a small variation of those when changing parameters. 10-mm-thick samples are characterized by a lower ultimate tensile strength and a greater variation at changing process parameters. [ABSTRACT FROM AUTHOR]

Published
2020
Full Text
View/download PDF

47. Leukocyte telomere length and risk of coronary heart disease and stroke mortality: prospective evidence from a Russian cohort

Author

Stefler, D, Malyutina, S, Maximov, V, Orlov, P, Ivanoschuk, D, Nikitin, Y, Gafarov, V, Ryabikov, A, Voevoda, M, Bobak, M, and Holmes, M

Subjects
Male, lcsh:R, lcsh:Medicine, Telomere Homeostasis, Coronary Disease, Middle Aged, Telomere, Prognosis, Article, Russia, Stroke, Survival Rate, Risk Factors, Leukocytes, Humans, lcsh:Q, Female, Prospective Studies, lcsh:Science, Aged
Abstract

Previous studies suggest that reduced leukocyte telomere length (LTL) is related to higher risk of mortality and several chronic conditions, including coronary heart disease (CHD) and stroke. However, the consistency of this association differs across populations. We investigated the relationship of LTL with CHD, stroke and all-cause mortality together with non-fatal CHD and stroke events in a Russian cohort with a mean age of 58 years at baseline. Data from 1,144 individuals in the Russian subset of the Health Alcohol and Psychosocial Factors in Eastern Europe (HAPIEE) cohort study were used. The associations between LTL at baseline and fatal/non-fatal outcomes during 12 years of follow-up were assessed using multivariable Cox regression models, which yielded adjusted hazard ratios (HR). Compared to individuals in the shortest tertile, those in the longest tertile of LTL had a 42% lower risk of death from all-causes (HR 0.58; 95% CI: 0.39–0.88) and 58% lower risk of death from CHD (HR 0.42; 95%CI: 0.19–0.97). Similar patterns of association were identified for non-fatal and combined fatal/non-fatal CHD and stroke events but the associations were weaker. Consistent with results of previous studies in Western populations, this cohort of elderly Russian adults found an inverse association between LTL and CHD and all-cause mortality. These findings reinforce the hypothesis that LTL may play (or be a marker of) an aetiological role in human health across diverse populations.

Published
2018

Catalog

Books, media, physical & digital resources
See catalog results