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141 results on '"Leistner, D"'

2. TAVI PACER - a contemporary risk score for pacemaker implantation after TAVI

Author

Lueg, J, primary, Janiszewski, A, additional, Schulze, D, additional, Juri, B, additional, Morell, L, additional, Hajduczenia, M, additional, Hennig, P, additional, Erbay, A, additional, Niehues, S, additional, Landmesser, U, additional, Stangl, K, additional, Leistner, D M, additional, Dreger, H, additional, and Tscholl, V, additional

Published
2024
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4. Artin algebraization for pairs with applications to the local structure of stacks and Ferrand pushouts

Author

Alper, J, Hall, J, Halpern-Leistner, D, Rydh, D, Alper, J, Hall, J, Halpern-Leistner, D, and Rydh, D

Abstract

We give a variant of Artin algebraization along closed subschemes and closed substacks. Our main application is the existence of étale, smooth or syntomic neighborhoods of closed subschemes and closed substacks. In particular, we prove local structure theorems for stacks and their derived counterparts and the existence of henselizations along linearly fundamental closed substacks. These results establish the existence of Ferrand pushouts, which answers positively a question of Temkin–Tyomkin.

Published
2024

7. Patient-reported functional and symptomatic outcomes in patients with mild cognitive disorder undergoing transcatheter aortic valve implantation - A secondary analysis of a randomized controlled trial

Author

Thevathasan, T, primary, Hornig, C, additional, Leistner, D M, additional, Suendermann, S, additional, Unbehaun, A, additional, Sherif, M, additional, Haghikia, A, additional, Stangl, K, additional, Falk, V, additional, Landmesser, U, additional, Dreger, H, additional, Stangl, V, additional, and Brand, A, additional

Published
2023
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11. Endotheliale Dysfunktion bei experimenteller Zöliakie wird durch darmbedingte Gefäßentzündung und oxidativen Stress vermittelt

Author

Keppeler, K., additional, Pesi, A., additional, Lange, S., additional, Helmstädter, J., additional, Strohm, L., additional, Ubbens, H., additional, Frank, C., additional, Mihalikova, D., additional, Kuntic, I., additional, Kuntic, M., additional, Bayo Jimenez, M. T., additional, Vujacic-Mirski, K., additional, Finger, S., additional, Oelze, M., additional, Wenzel, P., additional, Leistner, D., additional, Zakrzewska, A., additional, Kij, A., additional, Chlopicki, S., additional, Münzel, T., additional, Daiber, A., additional, Verdu, E., additional, Schuppan, D., additional, and Steven, S., additional

Published
2023
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12. Global Effect of Modifiable Risk Factors on Cardiovascular Disease and Mortality

Author

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

Published
2023

19. 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
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22. 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

24. Randomized clinical trial comparing a rivaroxaban-based with an antiplatelet-based strategy for cerebral embolization after TAVR (EARTH TAVR)-a magnetic resonance imaging substudy of the GALILEO trial

Author

Froehlich, G.M, primary, Falk, V, additional, Endres, M, additional, Stangl, V, additional, Woehrle, J, additional, Steinbeck, L, additional, Erbay, A, additional, Rudolph, T, additional, Geisler, T, additional, Leistner, D, additional, Nolte, C, additional, Hausler, G, additional, Fiebach, J, additional, Dangas, G, additional, and Landmesser, U, additional

Published
2020
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26. TLR2 signalling orchestrates neutrophil activation in acute coronary syndrome with intact fibrous cap – results from the OPTICO-ACS study

Author

Meteva, D, primary, Seppelt, C, additional, Abdelwahed, Y, additional, Himanshu, R, additional, Lauten, A, additional, Staehli, B, additional, Reinthaler, M, additional, Rauch-Kroehnert, U, additional, Haghikia, A, additional, Sinning, D, additional, Skurk, C, additional, Joner, M, additional, Leistner, D, additional, Landmesser, U, additional, and Kraenkel, N, additional

Published
2020
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27. Pulmonary Hypertension in Patients With Severe Aortic Stenosis: Prognostic Impact After Transcatheter Aortic Valve Replacement: Pulmonary Hypertension in Patients Undergoing TAVR

Author

Alushi B, Beckhoff F, Leistner D, Franz M, Reinthaler M, Stahli BE, Morguet A, Figulla HR, Doenst T, Maisano F, Falk V, Landmesser U, Lauten A, Alushi, B, Beckhoff, F, Leistner, D, Franz, M, Reinthaler, M, Stahli, Be, Morguet, A, Figulla, Hr, Doenst, T, Maisano, F, Falk, V, Landmesser, U, and Lauten, A

Published
2019

28. Next-generation proximity and position sensors: a new proximity sensor uses an RF field to sense near-field proximity with high precision

Author

Trummer, G., Kurzhals, C., Gehring, R., and Leistner, D.

Subjects
Radio waves -- Usage, Proximity detectors -- Design and construction, Proximity detectors -- Technology application, Proximity detectors -- Forecasts and trends, Market trend/market analysis, Technology application, Engineering and manufacturing industries
Abstract

At the moment, inductive, capacitive, optical, and ultrasound sensors are used to measure distance to objects in the proximity range. Inductive sensors work only with metal objects, the material and [...]

Published
2004

29. P6394Neutrophil activation patterns in acute coronary syndrome with intact fibrous cap - results from the OPTICO-ACS study

Author

Meteva, D, primary, Seppelt, C, additional, Abdelwahed, Y, additional, Rai, H, additional, Staehli, B E, additional, Riedel, M, additional, Skurk, C, additional, Lauten, A, additional, Mochmann, H C, additional, Rauch-Kroehnert, U, additional, Haghikia, A, additional, Joner, M, additional, Landmesser, U, additional, Leistner, D, additional, and Kraenkel, N, additional

Published
2019
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30. P5249Comprehensive invasive and non-invasive assessment of coronary artery lesions with and without hemodynamic significance

Author

Engel, L C, primary, Landmesser, U, additional, Abdelwahed, Y, additional, Gigengack, K, additional, Manes, C, additional, Wurster, T.-H, additional, Skurk, C, additional, Leistner, D.-M, additional, Lauten, A, additional, Schuster, A, additional, Noutsias, M, additional, Hamm, B, additional, Botnar, R M, additional, Makowski, M, additional, and Bigalke, B, additional

Published
2019
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31. 54Role of the gut microbiome for the cholesterol lowering effect of atorvastatin

Author

Zimmermann, F, primary, Schmidt, D, additional, Escher, U, additional, Jasina, A, additional, Roessler, J, additional, Heimesaat, M M, additional, Gast, M, additional, Poller, W, additional, Kratzer, A, additional, Giral Arnal, H, additional, Schumann, P, additional, Leistner, D M, additional, Landmesser, U, additional, and Haghikia, A, additional

Published
2019
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33. 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

36. P6208Endothelial damage and its relation to coronary artery stenosis. A correlation between molecular cardiovascular magnetic resonance imaging, and quantitative coronary angiography

Author

Engel, L C, primary, Landmesser, U L, additional, Abdelwahed, Y A, additional, Gigengack, K G, additional, Manes, C M, additional, Wurster, T H W, additional, Skurk, C S, additional, Leistner, D L, additional, Lauten, A L, additional, Schuster, A S, additional, Noutsias, M N, additional, Hamm, B H, additional, Botnar, R B, additional, Makowski, M M, additional, and Bigalke, B B, additional

Published
2018
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37. P572Angiographic guided PCI of ACS causing culprit lesions - Just a gamble?

Author

Riedel, M, primary, Abdelwahed, Y, additional, Seppelt, C, additional, Meteva, D, additional, Steinbeck, L, additional, Lauten, A, additional, Staehli, B E, additional, Skurk, C, additional, Froehlich, G, additional, Rauch-Kroehnert, U, additional, Mochmann, H C, additional, Kraenkel, N, additional, Landmesser, U, additional, and Leistner, D M, additional

Published
2018
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40. Torrefied Biomass Pellets—Comparing Grindability in Different Laboratory Mills

Author

Khalsa, JHA, Leistner, D, Weller, N, Darvell, LI, and Dooley, B

Abstract

The firing and co-firing of biomass in pulverized coal fired power plants around the world is expected to increase in the coming years. Torrefaction may prove to be a suitable way of upgrading biomass for such an application. For transport and storage purposes, the torrefied biomass will tend to be in pellet form. Whilst standard methods for the assessment of the milling characteristics of coal exist, this is not the case for torrefied materials—whether in pellet form or not. The grindability of the fuel directly impacts the overall efficiency of the combustion process and as such it is an important parameter. In the present study, the grindability of different torrefied biomass pellets was tested in three different laboratory mill types; cutting mill (CM), hammer mill (HM) and impact mill (IM). The specific grinding energy (SGE) required for a defined mass throughput of pellets in each mill was measured and results were compared to other pellet characterization methods (e.g., durability, and hardness) as well as the modified Hardgrove Index. Seven different torrefied biomass pellets including willow, pine, beech, poplar, spruce, forest residue and straw were used as feedstock. On average, the particle-size distribution width (across all feedstock) was narrowest for the IM (0.41 mm), followed by the HM (0.51 mm) and widest for the CM (0.62 mm). Regarding the SGE, the IM consumed on average 8.23 Wh/kg while CM and HM consumed 5.15 and 5.24 Wh/kg, respectively. From the three mills compared in this study, the IM seems better fit for being used in a standardized method that could be developed in the future, e.g., as an ISO standard.

Published
2016

42. P2350Real-time optical coherence tomography co-registration with angiography to optimize percutaneous coronary intervention: results of the OPTICO-Integration study

Author

Steinbeck, L., primary, Riedel, M., additional, Staehli, B., additional, Froehlich, G., additional, Lauten, A., additional, Skurk, C., additional, Mochmann, H.C., additional, Luebking, L., additional, Rauch-Kroehnert, U., additional, Schnabel, R., additional, Westermann, D., additional, Blankenberg, S., additional, Landmesser, U., additional, and Leistner, D., additional

Published
2017
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43. Treatment and Characterization of Torrefied Biomass for Combustion in Power Plants

Author

Leistner, D., Weller, N., Khalsa, J., and Pilz, A.

Subjects
Biomass
Abstract

In the following study a method is described which determines the grindability of torrefied biomass pellets. Therefore the amount of grinding energy required during the milling process is measured by grinding a defined weight of pellets in a cutting mill while recording the power consumption. Additionally the calculation of the specific grinding energy is explained using the measured values. The method is applied for five different torrefied biomass pellets including willow, pine, beech, poplar and straw., Proceedings of the 22nd European Biomass Conference and Exhibition, 23-26 June 2014, Hamburg, Germany, pp. 426-429

Published
2014
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49. Increased expression of the chemokine CXCL16 in intestinal inflammation and association of the CXCL16p.Ala181Val polymorphism with early disease onset and ileal involvement in patients with Crohn's disease

Author

Seiderer, J, primary, Dambacher, J, additional, Leistner, D, additional, Niess, JH, additional, Pfennig, S, additional, Diebold, J, additional, Haller, D, additional, Göke, B, additional, Ochsenkühn, T, additional, Lohse, P, additional, Reinecker, HC, additional, and Brand, S, additional

Published
2007
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