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3. Equalization of four cardiovascular risk algorithms after systematic recalibration: individual-participant meta-analysis of 86 prospective studies

Author

Pennells, Lisa, Kaptoge, Stephen, Wood, Angela, Sweeting, Mike, Zhao, Xiaohui, White, Ian, Burgess, Stephen, Willeit, Peter, Bolton, Thomas, Moons, Karel G M, van der Schouw, Yvonne T, Selmer, Randi, Khaw, Kay-Tee, Gudnason, Vilmundur, Assmann, Gerd, Amouyel, Philippe, Salomaa, Veikko, Kivimaki, Mika, Nordestgaard, Børge G, Blaha, Michael J, Kuller, Lewis H, Brenner, Hermann, Gillum, Richard F, Meisinger, Christa, Ford, Ian, Knuiman, Matthew W, Rosengren, Annika, Lawlor, Debbie A, Völzke, Henry, Cooper, Cyrus, Marín Ibañez, Alejandro, Casiglia, Edoardo, Kauhanen, Jussi, Cooper, Jackie A, Rodriguez, Beatriz, Sundström, Johan, Barrett-Connor, Elizabeth, Dankner, Rachel, Nietert, Paul J, Davidson, Karina W, Wallace, Robert B, Blazer, Dan G, Björkelund, Cecilia, Donfrancesco, Chiara, Krumholz, Harlan M, Nissinen, Aulikki, Davis, Barry R, Coady, Sean, Whincup, Peter H, Jørgensen, Torben, Ducimetiere, Pierre, Trevisan, Maurizio, Engström, Gunnar, Crespo, Carlos J, Meade, Tom W, Visser, Marjolein, Kromhout, Daan, Kiechl, Stefan, Daimon, Makoto, Price, Jackie F, Gómez de la Cámara, Agustin, Wouter Jukema, J, Lamarche, Benoît, Onat, Altan, Simons, Leon A, Kavousi, Maryam, Ben-Shlomo, Yoav, Gallacher, John, Dekker, Jacqueline M, Arima, Hisatomi, Shara, Nawar, Tipping, Robert W, Roussel, Ronan, Brunner, Eric J, Koenig, Wolfgang, Sakurai, Masaru, Pavlovic, Jelena, Gansevoort, Ron T, Nagel, Dorothea, Goldbourt, Uri, Barr, Elizabeth L M, Palmieri, Luigi, Njølstad, Inger, Sato, Shinichi, Monique Verschuren, W M, Varghese, Cherian V, Graham, Ian, Onuma, Oyere, Greenland, Philip, Woodward, Mark, Ezzati, Majid, Psaty, Bruce M, Sattar, Naveed, Jackson, Rod, Ridker, Paul M, Cook, Nancy R, D'Agostino, Ralph B, Thompson, Simon G, Danesh, John, Di Angelantonio, Emanuele, Simpson, Lara M, Pressel, Sara L, Couper, David J, Nambi, Vijay, Matsushita, Kunihiro, Folsom, Aaron R, Shaw, Jonathan E, Magliano, Dianna J, Zimmet, Paul Z, Wannamethee, S Goya, Willeit, Johann, Santer, Peter, Egger, Georg, Casas, Juan Pablo, Amuzu, Antointtte, Tikhonoff, Valérie, Sutherland, Susan E, Cushman, Mary, Søgaard, Anne Johanne, Håheim, Lise Lund, Ariansen, Inger, Tybjærg-Hansen, Anne, Jensen, Gorm B, Schnohr, Peter, Giampaoli, Simona, Vanuzzo, Diego, Panico, Salvatore, Balkau, Beverley, Bonnet, Fabrice, Marre, Michel, de la Cámara, Agustin Gómez, Rubio Herrera, Miguel Angel, Friedlander, Yechiel, McCallum, John, McLachlan, Stela, Guralnik, Jack, Phillips, Caroline L, Wareham, Nick, Schöttker, Ben, Saum, Kai-Uwe, Holleczek, Bernd, Tolonen, Hanna, Vartiainen, Erkki, Jousilahti, Pekka, Harald, Kennet, D’Agostino, Ralph B, Massaro, Joseph M, Pencina, Michael, Vasan, Ramachandran, Kayama, Takamasa, Kato, Takeo, Oizumi, Toshihide, Jespersen, Jørgen, Møller, Lars, Bladbjerg, Else Marie, Chetrit, A, Wilhelmsen, Lars, Lissner, Lauren, Dennison, Elaine, Kiyohara, Yutaka, Ninomiya, Toshiharu, Doi, Yasufumi, Nijpels, Giel, Stehouwer, Coen D A, Kazumasa, Yamagishi, Iso, Hiroyasu, Kurl, Sudhir, Tuomainen, Tomi-Pekka, Salonen, Jukka T, Deeg, Dorly J H, Nilsson, Peter M, Hedblad, Bo, Melander, Olle, De Boer, Ian H, DeFilippis, Andrew Paul, Verschuren, W M Monique, Watt, Graham, Tverdal, Aage, Kirkland, Susan, Shimbo, Daichi, Shaffer, Jonathan, Bakker, Stephan J L, van der Harst, Pim, Hillege, Hans L, Dallongeville, Jean, Schulte, Helmut, Trompet, Stella, Smit, Roelof A J, Stott, David J, Després, Jean-Pierre, Cantin, Bernard, Dagenais, Gilles R, Laughlin, Gail, Wingard, Deborah, Aspelund, Thor, Eiriksdottir, Gudny, Gudmundsson, Elias Freyr, Ikram, Arfan, van Rooij, Frank J A, Franco, Oscar H, Rueda-Ochoa, Oscar L, Muka, Taulant, Glisic, Marija, Tunstall-Pedoe, Hugh, Howard, Barbara V, Zhang, Ying, Jolly, Stacey, Davey-Smith, George, Can, Günay, Yüksel, Hüsniye, Nakagawa, Hideaki, Morikawa, Yuko, Miura, Katsuyuki, Ingelsson, Martin, Giedraitis, Vilmantas, Gaziano, J Michael, Shipley, Martin, Arndt, Volker, Cook, Nancy, Ibañez, Alejandro Marín, Geleijnse, Johanna M, Epidemiology, Læknadeild (HÍ), Faculty of Medicine (UI), Heilbrigðisvísindasvið (HÍ), School of Health Sciences (UI), Háskóli Íslands, University of Iceland, Pennells, Lisa [0000-0002-8594-3061], Kaptoge, Stephen [0000-0002-1155-4872], Wood, Angela [0000-0002-7937-304X], Sweeting, Michael [0000-0003-0980-8965], Zhao, Xiaohui [0000-0001-9922-2815], Burgess, Stephen [0000-0001-5365-8760], Danesh, John [0000-0003-1158-6791], Di Angelantonio, Emanuele [0000-0001-8776-6719], Apollo - University of Cambridge Repository, Nutrition and Health, APH - Aging & Later Life, APH - Societal Participation & Health, APH - Health Behaviors & Chronic Diseases, Cardiovascular Centre (CVC), Groningen Kidney Center (GKC), Groningen Institute for Organ Transplantation (GIOT), Lifestyle Medicine (LM), Life Course Epidemiology (LCE), AGEM - Endocrinology, metabolism and nutrition, Internal medicine, Epidemiology and Data Science, İÜC, Lisa, Pennell, Stephen, Kaptoge, Angela, Wood, Mike, Sweeting, Xiaohui, Zhao, Ian, White, Stephen, Burge, Peter, Willeit, Thomas, Bolton, Karel G M, Moon, Yvonne T, van der Schouw, Randi, Selmer, Kay-Tee, Khaw, Vilmundur, Gudnason, Gerd, Assmann, Philippe, Amouyel, Veikko, Salomaa, Mika, Kivimaki, Børge G, Nordestgaard, Michael J, Blaha, Lewis H, Kuller, Hermann, Brenner, Richard F, Gillum, Christa, Meisinger, Ian, Ford, Matthew W, Knuiman, Annika, Rosengren, Debbie A, Lawlor, Henry, Völzke, Cyrus, Cooper, Alejandro, Marín Ibañez, Edoardo, Casiglia, Jussi, Kauhanen, Jackie A, Cooper, Beatriz, Rodriguez, Johan, Sundström, Elizabeth, Barrett-Connor, Rachel, Dankner, Paul J, Nietert, Karina W, Davidson, Robert B, Wallace, Dan G, Blazer, Cecilia, Björkelund, Chiara, Donfrancesco, Harlan M, Krumholz, Aulikki, Nissinen, Barry R, Davi, Sean, Coady, Peter H, Whincup, Torben, Jørgensen, Pierre, Ducimetiere, Maurizio, Trevisan, Gunnar, Engström, Carlos J, Crespo, Tom W, Meade, Marjolein, Visser, Daan, Kromhout, Stefan, Kiechl, Makoto, Daimon, Jackie F, Price, Agustin, Gómez de la Cámara, J, Wouter Jukema, Benoît, Lamarche, Altan, Onat, Leon A, Simon, Maryam, Kavousi, Yoav, Ben-Shlomo, John, Gallacher, Jacqueline M, Dekker, Hisatomi, Arima, Nawar, Shara, Robert W, Tipping, Ronan, Roussel, Eric J, Brunner, Wolfgang, Koenig, Masaru, Sakurai, Jelena, Pavlovic, Ron T, Gansevoort, Dorothea, Nagel, Uri, Goldbourt, Elizabeth L M, Barr, Luigi, Palmieri, Inger, Njølstad, Shinichi, Sato, W M, Monique Verschuren, Cherian V, Varghese, Ian, Graham, Oyere, Onuma, Philip, Greenland, Mark, Woodward, Majid, Ezzati, Bruce M, Psaty, Sattar, W Tipping, Naveerobert, M Simpson, Lara, L Pressel, Sara, J Couper, David, Nambi, Vijay, Matsushita, Kunihiro, R Folsom, Aaron, E Shaw, Jonathan, J Magliano, Dianna, Z Zimmet, Paul, W Knuiman, Matthew, H Whincup, Peter, Goya Wannamethee, S, Willeit, Johann, Santer, Peter, Egger, Georg, Pablo Casas, Juan, Amuzu, Antoinette, Ben-Shlomo, Yoav, Gallacher, John, Tikhonoff, Valérie, Casiglia, Edoardo, E Sutherland, Susan, J Nietert, Paul, Cushman, Mary, M Psaty, Bruce, Johanne Søgaard, Anne, Lund Håheim, Lise, Ariansen, Inger, Tybjærg-Hansen, Anne, B Jensen, Gorm, Schnohr, Peter, Giampaoli, Simona, Vanuzzo, Diego, Panico, Salvatore, Palmieri, Luigi, Balkau, Beverley, Bonnet, Fabrice, Marre, Michel, Gómez de la Cámara, Agustin, Angel Rubio Herrera, Miguel, Friedlander, Yechiel, Mccallum, John, Mclachlan, Stela, Guralnik, Jack, L Phillips, Caroline, Khaw, Kay-Tee, Wareham, Nick, Schöttker, Ben, Saum, Kai-Uwe, Holleczek, Bernd, Nissinen, Aulikki, Tolonen, Hanna, Donfrancesco, Chiara, Vartiainen, Erkki, Jousilahti, Pekka, Harald, Kennet, B D’Agostino, Ralph, M Massaro, Joseph, Pencina, Michael, Vasan, Ramachandran, Kayama, Takamasa, Kato, Takeo, Oizumi, Toshihide, Jespersen, Jørgen, Møller, Lar, Marie Bladbjerg, Else, Chetrit, A, Rosengren, Annika, Wilhelmsen, Lar, Björkelund, Cecilia, Lissner, Lauren, Nagel, Dorothea, Dennison, Elaine, Kiyohara, Yutaka, Ninomiya, Toshiharu, Doi, Yasufumi, Rodriguez, Beatriz, Nijpels, Giel, A Stehouwer, Coen D, Sato, Shinichi, Kazumasa, Yamagishi, Iso, Hiroyasu, Goldbourt, Uri, Salomaa, Veikko, Kurl, Sudhir, Tuomainen, Tomi-Pekka, T Salonen, Jukka, Visser, Marjolein, H Deeg, Dorly J, W Meade, Tom, M Nilsson, Peter, Hedblad, Bo, Melander, Olle, H De Boer, Ian, Paul DeFilippis, Andrew, M Monique Verschuren, W, Sattar, Naveed, Watt, Graham, Meisinger, Christa, Koenig, Wolfgang, H Kuller, Lewi, Tverdal, Aage, F Gillum, Richard, A Cooper, Jackie, Kirkland, Susan, Shimbo, Daichi, Shaffer, Jonathan, Ducimetiere, Pierre, L Bakker, Stephan J, van der Harst, Pim, L Hillege, Han, J Crespo, Carlo, Amouyel, Philippe, Dallongeville, Jean, Assmann, Gerd, Schulte, Helmut, Trompet, Stella, J Smit, Roelof A, J Stott, David, T van der Schouw, Yvonne, Després, Jean-Pierre, Cantin, Bernard, R Dagenais, Gille, Laughlin, Gail, Wingard, Deborah, Trevisan, Maurizio, Aspelund, Thor, Eiriksdottir, Gudny, Freyr Gudmundsson, Elia, Ikram, Arfan, A van Rooij, Frank J, H Franco, Oscar, L Rueda-Ochoa, Oscar, Muka, Taulant, Glisic, Marija, Tunstall-Pedoe, Hugh, Völzke, Henry, V Howard, Barbara, Zhang, Ying, Jolly, Stacey, Davey-Smith, George, Can, Günay, Yüksel, Hüsniye, Nakagawa, Hideaki, Morikawa, Yuko, Miura, Katsuyuki, Njølstad, Inger, Ingelsson, Martin, Giedraitis, Vilmanta, M Ridker, Paul, Michael Gaziano, J, Kivimaki, Mika, Shipley, Martin, J Brunner, Eric, Arndt, Volker, Brenner, Hermann, Cook, Nancy, Ford, Ian, Marín Ibañez, Alejandro, M Geleijnsed, Johanna, Rod, Jackson, Paul M, Ridker, Nancy R, Cook, Ralph B, D'Agostino, Simon G, Thompson, John, Danesh, and Emanuele, Di Angelantonio

Subjects
Male, Cardiac & Cardiovascular Systems, Nutrition and Disease, Prevention and Epidemiology, PREDICTION, Áhættuþættir, 030204 cardiovascular system & hematology, GUIDELINES, 0302 clinical medicine, Risk Factors, Voeding en Ziekte, FRAMINGHAM, Discrimination, Medicine, Cardiac and Cardiovascular Systems, Blóðrásarsjúkdómar, Prospective Studies, Prospective cohort study, Non-U.S. Gov't, 1102 Cardiorespiratory Medicine and Haematology, CALIBRATION, Kardiologi, Framingham Risk Score, Emerging Risk Factors Collaboration, SCORES, Research Support, Non-U.S. Gov't, Incidence (epidemiology), Middle Aged, Cardiovascular disease, Justice and Strong Institutions, Risk prediction, ddc, 3. Good health, Cardiovascular Diseases, Meta-analysis, Cohort, Calibration, Female, Risk assessment, Cardiology and Cardiovascular Medicine, Algorithm, Life Sciences & Biomedicine, Algorithms, SDG 16 - Peace, Risk algorithms, DISEASE PREVENTION, Research Support, Risk Assessment, VALIDATION, 03 medical and health sciences, Clinical Research, Journal Article, Humans, ddc:610, Risk factor, VLAG, Aged, Science & Technology, business.industry, SDG 16 - Peace, Justice and Strong Institutions, 030229 sport sciences, R1, STATIN USE, Cardiovascular System & Hematology, Cardiovascular System & Cardiology, business, PRIMARY PREVENTION, TASK-FORCE
Abstract

Publisher's version (útgefin grein), Aims: There is debate about the optimum algorithm for cardiovascular disease (CVD) risk estimation. We conducted head-to-head comparisons of four algorithms recommended by primary prevention guidelines, before and after 'recalibration', a method that adapts risk algorithms to take account of differences in the risk characteristics of the populations being studied. Methods and results: Using individual-participant data on 360 737 participants without CVD at baseline in 86 prospective studies from 22 countries, we compared the Framingham risk score (FRS), Systematic COronary Risk Evaluation (SCORE), pooled cohort equations (PCE), and Reynolds risk score (RRS). We calculated measures of risk discrimination and calibration, and modelled clinical implications of initiating statin therapy in people judged to be at 'high' 10 year CVD risk. Original risk algorithms were recalibrated using the risk factor profile and CVD incidence of target populations. The four algorithms had similar risk discrimination. Before recalibration, FRS, SCORE, and PCE over-predicted CVD risk on average by 10%, 52%, and 41%, respectively, whereas RRS under-predicted by 10%. Original versions of algorithms classified 29-39% of individuals aged ≥40 years as high risk. By contrast, recalibration reduced this proportion to 22-24% for every algorithm. We estimated that to prevent one CVD event, it would be necessary to initiate statin therapy in 44-51 such individuals using original algorithms, in contrast to 37-39 individuals with recalibrated algorithms. Conclusion: Before recalibration, the clinical performance of four widely used CVD risk algorithms varied substantially. By contrast, simple recalibration nearly equalized their performance and improved modelled targeting of preventive action to clinical need., The work of the co-ordinating centre was funded by the UK Medical Research Council (G0800270), British Heart Foundation (SP/09/ 002), British Heart Foundation Cambridge Cardiovascular Centre of Excellence, UK National Institute for Health Research Cambridge Biomedical Research Centre, European Research Council (268834), and European Commission Framework Programme 7 (HEALTH-F2-2012-279233). The Emerging Risk Factor Collaboration’s website https://www.phpc.cam.ac.uk/ceu/erfc/list-of-studies/ has compiled a list provided by investigators of some of the funders of the component studies in this analysis. I.W. was supported by the Medical Research Council Unit Programme MC_UU_12023/21. M.K. is supported by the Netherlands Organization for Scientific Research (NWO) Veni grant (Veni, 91616079). J.P. is supported by Erasmus Mundus Western Balkans (ERAWEB), a project funded by the European Commission.

Published
2019

4. Association of Cardiometabolic Multimorbidity With Mortality The Emerging Risk Factors Collaboration

Author

Di Angelantonio, Emanuele, Kaptoge, Stephen, Wormser, David, Willeit, Peter, Butterworth, Adam S., Bansal, Narinder, O'Keeffe, Linda M., Gao, Pei, Wood, Angela M., Burgess, Stephen, Freitag, Daniel F., Pennells, Lisa, Peters, Sanne A., Hart, Carole L., Haheim, Lise Lund, Gillum, Richard F., Nordestgaard, Borge G., Psaty, Bruce M., Yeap, Bu B., Knuiman, Matthew W., Nietert, Paul J., Kauhanen, Jussi, Salonen, Jukka T., Kuller, Lewis H., Simons, Leon A., van der Schouw, Yvonne T., Barrett-Connor, Elizabeth, Selmer, Randi, Crespo, Carlos J., Rodriguez, Beatriz, Verschuren, W. M. Monique, Salomaa, Veikko, Svardsudd, Kurt, van der Harst, Pim, Bjorkelund, Cecilia, Wilhelmsen, Lars, Wallace, Robert B., Brenner, Hermann, Amouyel, Philippe, Barr, Elizabeth L. M., Iso, Hiroyasu, Onat, Altan, Trevisan, Maurizio, D'Agostino, Ralph B., Sr., Cooper, Cyrus, Kavousi, Maryam, Welin, Lennart, Roussel, Ronan, Hu, Frank B., Sato, Shinichi, Davidson, Karina W., Howard, Barbara V., Leening, Maarten, Rosengren, Annika, Dorr, Marcus, Deeg, Dorly J. H., Kiechl, Stefan, Stehouwer, Coen D. A., Nissinen, Aulikki, Giampaoli, Simona, Donfrancesco, Chiara, Kromhout, Daan, Price, Jackie F., Peters, Annette, Meade, Tom W., Casiglia, Edoardo, Lawlor, Debbie A., Gallacher, John, Nagel, Dorothea, Franco, Oscar H., Assmann, Gerd, Dagenais, Gilles R., Jukema, J. Wouter, Sundstrom, Johan, Woodward, Mark, Brunner, Eric J., Khaw, Kay-Tee, Wareham, Nicholas J., Whitsel, Eric A., Njolstad, Inger, Hedblad, Bo, Wassertheil-Smoller, Sylvia, Engstrom, Gunnar, Rosamond, Wayne D., Selvin, Elizabeth, Sattar, Naveed, Thompson, Simon G., Danesh, John, Epidemiology, Interne Geneeskunde, MUMC+: MA Interne Geneeskunde (3), and RS: CARIM - R3 - Vascular biology

Subjects
SDG 3 - Good Health and Well-being
Abstract

IMPORTANCE The prevalence of cardiometabolic multimorbidity is increasing. OBJECTIVE To estimate reductions in life expectancy associated with cardiometabolic multimorbidity. DESIGN, SETTING, AND PARTICIPANTS Age-and sex-adjusted mortality rates and hazard ratios (HRs) were calculated using individual participant data from the Emerging Risk Factors Collaboration (689 300 participants; 91 cohorts; years of baseline surveys: 1960-2007; latest mortality follow-up: April 2013; 128 843 deaths). The HRs from the Emerging Risk Factors Collaboration were compared with those from the UK Biobank (499 808 participants; years of baseline surveys: 2006-2010; latest mortality follow-up: November 2013; 7995 deaths). Cumulative survival was estimated by applying calculated age-specific HRs for mortality to contemporary US age-specific death rates. EXPOSURES A history of 2 or more of the following: diabetes mellitus, stroke, myocardial infarction (MI). MAIN OUTCOMES AND MEASURES All-cause mortality and estimated reductions in life expectancy. RESULTS In participants in the Emerging Risk Factors Collaboration without a history of diabetes, stroke, or MI at baseline (reference group), the all-cause mortality rate adjusted to the age of 60 years was 6.8 per 1000 person-years. Mortality rates per 1000 person-years were 15.6 in participants with a history of diabetes, 16.1 in those with stroke, 16.8 in those with MI, 32.0 in those with both diabetes and MI, 32.5 in those with both diabetes and stroke, 32.8 in those with both stroke and MI, and 59.5 in those with diabetes, stroke, and MI. Compared with the reference group, the HRs for all-cause mortality were 1.9 (95% CI, 1.8-2.0) in participants with a history of diabetes, 2.1 (95% CI, 2.0-2.2) in those with stroke, 2.0 (95% CI, 1.9-2.2) in those with MI, 3.7 (95% CI, 3.3-4.1) in those with both diabetes and MI, 3.8 (95% CI, 3.5-4.2) in those with both diabetes and stroke, 3.5 (95% CI, 3.1-4.0) in those with both stroke and MI, and 6.9 (95% CI, 5.7-8.3) in those with diabetes, stroke, and MI. The HRs from the Emerging Risk Factors Collaboration were similar to those from the more recently recruited UK Biobank. The HRs were little changed after further adjustment for markers of established intermediate pathways (eg, levels of lipids and blood pressure) and lifestyle factors (eg, smoking, diet). At the age of 60 years, a history of any 2 of these conditions was associated with 12 years of reduced life expectancy and a history of all 3 of these conditions was associated with 15 years of reduced life expectancy. CONCLUSIONS AND RELEVANCE Mortality associated with a history of diabetes, stroke, or MI was similar for each condition. Because any combination of these conditions was associated with multiplicative mortality risk, life expectancy was substantially lower in people with multimorbidity.

Published
2015

5. The Effect of Direct to Consumer Television Advertising on the Timing of Treatment

Author

Bradford, W. David, Kleit, Andrew N., Nietert, Paul J., and Ornstein, Steven

Subjects
Health and Safety, Technology and Industry
Abstract

We examine how direct to consumer advertising (DCA) affects the delay between diagnosis and pharmacological treatment for patients suffering from a common chronic disease. The primary data for this study consist of patients diagnosed with osteoarthritis (N=18,235) taken from a geographically diverse national research network of 72 primary care practices with 348 physicians in 27 states over the 1999 to 2002 time period. Brand specific advertising data was collected for local and network television at the monthly-level for the nearest media markets to the practices. Results of duration models of delay to treatment suggest advertising does affect the length of time that patients and physicians wait to initiate therapy. This evidence suggests these effects may be welfare enhancing, in that advertising tends to encourage more rapid adoption among patients who are good clinical candidates for the therapy, and leads to less rapid adoption among some patients who are poor clinical candidates.

Published
2005

6. Association of Cardiometabolic Multimorbidity With Mortality

Author

Di Angelantonio, Emanuele, Kaptoge, Stephen, Wormser, David, Willeit, Peter, Butterworth, Adam S., Bansal, Narinder, O’Keeffe, Linda M., Gao, Pei, Wood, Angela M., Burgess, Stephen, Freitag, Daniel F., Pennells, Lisa, Peters, Sanne A., Hart, Carole L., Haheim, Lise Lund, Gillum, Richard F., Nordestgaard, Børge G., Psaty, Bruce M., Yeap, Bu B., Knuiman, Matthew W., Nietert, Paul J., Kauhanen, Jussi, Salonen, Jukka T., Kuller, Lewis H., Simons, Leon A., Van Der Schouw, Yvonne T., Barrett-Connor, Elizabeth, Selmer, Randi, Crespo, Carlos J., Rodriguez, Beatriz, Verschuren, W. M. Monique, Salomaa, Veikko, Svärdsudd, Kurt, Van Der Harst, Pim, Björkelund, Cecilia, Wilhelmsen, Lars, Wallace, Robert B., Brenner, Hermann, Amouyel, Philippe, Barr, Elizabeth L. M., Iso, Hiroyasu, Onat, Altan, Trevisan, Maurizio, D'Agostino Sr., Ralph B., Cooper, Cyrus, Kavousi, Maryam, Welin, Lennart, Roussel, Ronan, Hu, Frank B., Sato, Shinichi, Davidson, Karina W., Howard, Barbara V., Leening, Maarten J. G., Rosengren, Annika, Dörr, Marcus, Deeg, Dorly J. H., Kiechl, Stefan, Stehouwer, Coen D. A., Nissinen, Aulikki, Giampaoli, Simona, Donfrancesco, Chiara, Kromhout, Daan, Price, Jackie F., Peters, Annette, Meade, Tom W., Casiglia, Edoardo, Lawlor, Debbie A., Gallacher, John, Nagel, Dorothea, Franco, Oscar H., Assmann, Gerd, Dagenais, Gilles R., Jukema, J. Wouter, Sundström, Johan, Woodward, Mark, Brunner, Eric J., Khaw, Kay-Tee, Wareham, Nicholas J., Whitsel, Eric A., Njølstad, Inger, Hedblad, Bo, Wassertheil-Smoller, Sylvia, Engström, Gunnar, Rosamond, Wayne D., Selvin, Elizabeth, Sattar, Naveed, Thompson, Simon G., Danesh, John, and Emerging Risk Factors Collaboration

Subjects
Cardiovascular system--Diseases, Epidemiology, Diabetes, Mortality, Medical sciences, 3. Good health
Abstract

Importance The prevalence of cardiometabolic multimorbidity is increasing. Objective To estimate reductions in life expectancy associated with cardiometabolic multimorbidity. Design, Setting, and Participants Age- and sex-adjusted mortality rates and hazard ratios (HRs) were calculated using individual participant data from the Emerging Risk Factors Collaboration (689 300 participants; 91 cohorts; years of baseline surveys: 1960-2007; latest mortality follow-up: April 2013; 128 843 deaths). The HRs from the Emerging Risk Factors Collaboration were compared with those from the UK Biobank (499 808 participants; years of baseline surveys: 2006-2010; latest mortality follow-up: November 2013; 7995 deaths). Cumulative survival was estimated by applying calculated age-specific HRs for mortality to contemporary US age-specific death rates. Exposures A history of 2 or more of the following: diabetes mellitus, stroke, myocardial infarction (MI). Main Outcomes and Measures All-cause mortality and estimated reductions in life expectancy. Results In participants in the Emerging Risk Factors Collaboration without a history of diabetes, stroke, or MI at baseline (reference group), the all-cause mortality rate adjusted to the age of 60 years was 6.8 per 1000 person-years. Mortality rates per 1000 person-years were 15.6 in participants with a history of diabetes, 16.1 in those with stroke, 16.8 in those with MI, 32.0 in those with both diabetes and MI, 32.5 in those with both diabetes and stroke, 32.8 in those with both stroke and MI, and 59.5 in those with diabetes, stroke, and MI. Compared with the reference group, the HRs for all-cause mortality were 1.9 (95% CI, 1.8-2.0) in participants with a history of diabetes, 2.1 (95% CI, 2.0-2.2) in those with stroke, 2.0 (95% CI, 1.9-2.2) in those with MI, 3.7 (95% CI, 3.3-4.1) in those with both diabetes and MI, 3.8 (95% CI, 3.5-4.2) in those with both diabetes and stroke, 3.5 (95% CI, 3.1-4.0) in those with both stroke and MI, and 6.9 (95% CI, 5.7-8.3) in those with diabetes, stroke, and MI. The HRs from the Emerging Risk Factors Collaboration were similar to those from the more recently recruited UK Biobank. The HRs were little changed after further adjustment for markers of established intermediate pathways (eg, levels of lipids and blood pressure) and lifestyle factors (eg, smoking, diet). At the age of 60 years, a history of any 2 of these conditions was associated with 12 years of reduced life expectancy and a history of all 3 of these conditions was associated with 15 years of reduced life expectancy. Conclusions and Relevance Mortality associated with a history of diabetes, stroke, or MI was similar for each condition. Because any combination of these conditions was associated with multiplicative mortality risk, life expectancy was substantially lower in people with multimorbidity.

7. Risk thresholds for alcohol consumption: combined analysis of individual-participant data for 599 912 current drinkers in 83 prospective studies

Author

Wood, Angela M., Kaptoge, Stephen, Butterworth, Adam S., Willeit, Peter, Warnakula, Samantha, Bolton, Thomas, Paige, Ellie, Paul, Dirk S., Sweeting, Michael, Burgess, Stephen, Bell, Steven, Astle, William, Stevens, David, Koulman, Albert, Selmer, Randi, Verschuren, W. M. Monique, Sato, Shinichi, Njølstad, Inger, Woodward, Mark, Salomaa, Veikko, Nordestgaard, Børge G., Yeap, Bu B., Fletcher, Astrid, Melander, Olle, Kuller, Lewis H., Balkau, Beverley, Marmot, Michael, Koenig, Wolfgang, Casiglia, Edoardo, Cooper, Cyrus, Arndt, Volker, Franco, Oscar H., Wennberg, Patrik, Gallacher, John, Gómez De La Cámara, Agustín, Völzke, Henry, Dahm, Christina C., Dale, Caroline E., Bergmann, Manuela M., Crespo, Carlos J., Van Der Schouw, Yvonne T., Kaaks, Rudolf, Simons, Leon A., Lagiou, Pagona, Schoufour, Josje D., Boer, Jolanda M. A., Key, Timothy J., Rodriguez, Beatriz, Moreno-Iribas, Conchi, Davidson, Karina W., Taylor, James O., Sacerdote, Carlotta, Wallace, Robert B., Quiros, J. Ramon, Tumino, Rosario, Blazer II, Dan G., Linneberg, Allan, Daimon, Makoto, Panico, Salvatore, Howard, Barbara, Skeie, Guri, Strandberg, Timo, Weiderpass, Elisabete, Nietert, Paul J., Psaty, Bruce M., Kromhout, Daan, Salamanca-Fernandez, Elena, Kiechl, Stefan, Krumholz, Harlan M., Grioni, Sara, Palli, Domenico, Huerta, José M., Price, Jackie F., Sundström, Johan, Arriola, Larraitz, Arima, Hisatomi, Travis, Ruth C., Panagiotakos, Demosthenes B., Karakatsani, Anna, Trichopoulou, Antonia, Kühn, Tilman, Grobbee, Diederick E., Barrett-Connor, Elizabeth, Van Schoor, Natasja, Boeing, Heiner, Overvad, Kim, Kauhanen, Jussi, Wareham, Nicholas J., Langenberg, Claudia, Forouhi, Nita, Wennberg, Maria, Després, Jean-Pierre, Cushman, Mary, Cooper, Jackie A, Rodriguez, Carlos J., Sakurai, Masaru, Shaw, Jonathan E., Knuiman, Matthew W., Voortman, Trudy, Meisinger, Christa, Tjønneland, Anne, Brenner, Hermann, Palmieri, Luigi, Dallongeville, Jean, Brunner, Eric J., Assmann, Gerd, Trevisan, Maurizio, Gillum, Richard F., Ford, Ian, Sattar, Naveed, Lazo, Mariana, Thompson, Simon G., Ferrari, Pietro, Leon, David A., Davey-Smith, George, Peto, Richard, Jackson, Rod, Banks, Emily, Di Angelantonio, Emanuele, Danesh, John, and Emerging Risk Factors Collaboration/EPIC-CVD/UK Biobank Alcohol Study Group

Subjects
Cardiovascular system--Diseases, Drinking of alcoholic beverages, Mortality, Diseases--Risk factors, 3. Good health
Abstract

BACKGROUND: Low-risk limits recommended for alcohol consumption vary substantially across different national guidelines. To define thresholds associated with lowest risk for all-cause mortality and cardiovascular disease, we studied individual-participant data from 599 912 current drinkers without previous cardiovascular disease. METHODS: We did a combined analysis of individual-participant data from three large-scale data sources in 19 high-income countries (the Emerging Risk Factors Collaboration, EPIC-CVD, and the UK Biobank). We characterised dose-response associations and calculated hazard ratios (HRs) per 100 g per week of alcohol (12·5 units per week) across 83 prospective studies, adjusting at least for study or centre, age, sex, smoking, and diabetes. To be eligible for the analysis, participants had to have information recorded about their alcohol consumption amount and status (ie, non-drinker vs current drinker), plus age, sex, history of diabetes and smoking status, at least 1 year of follow-up after baseline, and no baseline history of cardiovascular disease. The main analyses focused on current drinkers, whose baseline alcohol consumption was categorised into eight predefined groups according to the amount in grams consumed per week. We assessed alcohol consumption in relation to all-cause mortality, total cardiovascular disease, and several cardiovascular disease subtypes. We corrected HRs for estimated long-term variability in alcohol consumption using 152 640 serial alcohol assessments obtained some years apart (median interval 5·6 years [5th-95th percentile 1·04-13·5]) from 71 011 participants from 37 studies. FINDINGS: In the 599 912 current drinkers included in the analysis, we recorded 40 310 deaths and 39 018 incident cardiovascular disease events during 5·4 million person-years of follow-up. For all-cause mortality, we recorded a positive and curvilinear association with the level of alcohol consumption, with the minimum mortality risk around or below 100 g per week. Alcohol consumption was roughly linearly associated with a higher risk of stroke (HR per 100 g per week higher consumption 1·14, 95% CI, 1·10-1·17), coronary disease excluding myocardial infarction (1·06, 1·00-1·11), heart failure (1·09, 1·03-1·15), fatal hypertensive disease (1·24, 1·15-1·33); and fatal aortic aneurysm (1·15, 1·03-1·28). By contrast, increased alcohol consumption was log-linearly associated with a lower risk of myocardial infarction (HR 0·94, 0·91-0·97). In comparison to those who reported drinking >0-≤100 g per week, those who reported drinking >100-≤200 g per week, >200-≤350 g per week, or >350 g per week had lower life expectancy at age 40 years of approximately 6 months, 1-2 years, or 4-5 years, respectively. INTERPRETATION: In current drinkers of alcohol in high-income countries, the threshold for lowest risk of all-cause mortality was about 100 g/week. For cardiovascular disease subtypes other than myocardial infarction, there were no clear risk thresholds below which lower alcohol consumption stopped being associated with lower disease risk. These data support limits for alcohol consumption that are lower than those recommended in most current guidelines.

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