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27 results on '"Tipping, Robert W."'

1. Use of Repeated Blood Pressure and Cholesterol Measurements to Improve Cardiovascular Disease Risk Prediction: An Individual-Participant-Data Meta-Analysis

Author

Paige, Ellie, Barrett, Jessica, Pennells, Lisa, Sweeting, Michael, Willeit, Peter, Di Angelantonio, Emanuele, Gudnason, Vilmundur, Nordestgaard, Børge G., Psaty, Bruce M, Goldbourt, Uri, Best, Lyle G, Assmann, Gerd, Salonen, Jukka T, Nietert, Paul J, Verschuren, W. M. Monique, Brunner, Eric J, Kronmal, Richard A, Salomaa, Veikko, Bakker, Stephan J L, Dagenais, Gilles R, Sato, Shinichi, Jansson, Jan-Håkan, Willeit, Johann, Onat, Altan, de la Cámara, Agustin Gómez, Roussel, Ronan, Völzke, Henry, Dankner, Rachel, Tipping, Robert W, Meade, Tom W, Donfrancesco, Chiara, Kuller, Lewis H, Peters, Annette, Gallacher, John, Kromhout, Daan, Iso, Hiroyasu, Knuiman, Matthew, Casiglia, Edoardo, Kavousi, Maryam, Palmieri, Luigi, Sundström, Johan, Davis, Barry R, Njølstad, Inger, Couper, David, Danesh, John, Thompson, Simon G, and Wood, Angela

Published
2017
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2. Adult height and the risk of cause-specific death and vascular morbidity in 1 million people: individual participant meta-analysis

Author

Wormser, David, Angelantonio, Emanuele Di, Kaptoge, Stephen, Wood, Angela M, Gao, Pei, Sun, Qi, Walldius, Göran, Selmer, Randi, Verschuren, WM Monique, Bueno-de-Mesquita, H Bas, Engström, Gunnar, Ridker, Paul M, Njølstad, Inger, Iso, Hiroyasu, Holme, Ingar, Giampaoli, Simona, Tunstall-Pedoe, Hugh, Gaziano, J Michael, Brunner, Eric, Kee, Frank, Tosetto, Alberto, Meisinger, Christa, Brenner, Hermann, Ducimetiere, Pierre, Whincup, Peter H, Tipping, Robert W, Ford, Ian, Cremer, Peter, Hofman, Albert, Wilhelmsen, Lars, Clarke, Robert, Boer, Ian H de, Jukema, J Wouter, Ibañez, Alejandro Marín, Lawlor, Debbie A, DʼAgostino, Ralph B, Rodriguez, Beatriz, Casiglia, Edoardo, Stehouwer, Coen DA, Simons, Leon A, Nietert, Paul J, Barrett-Connor, Elizabeth, Panagiotakos, Demosthenes B, Björkelund, Cecilia, Strandberg, Timo E, Wassertheil-Smoller, Sylvia, Blazer, Dan G, Meade, Tom W, Welin, Lennart, Svärdsudd, Kurt, Woodward, Mark, Nissinen, Aulikki, Kromhout, Daan, Jørgensen, Torben, Tilvis, Reijo S, Guralnik, Jack M, Rosengren, Annika, Taylor, James O, Kiechl, Stefan, Dagenais, Gilles R, Gerry, F, Fowkes, R, Wallace, Robert B, Khaw, Kay-Tee, Shaffer, Jonathan A, Visser, Marjolein, Kauhanen, Jussi, Salonen, Jukka T, Gallacher, John, Ben-Shlomo, Yoav, Kitamura, Akihiko, Sundström, Johan, Wennberg, Patrik, Kiyohara, Yutaka, Daimon, Makoto, de la Cámara, Agustin Gómez, Cooper, Jackie A, Onat, Altan, Devereux, Richard, Mukamal, Kenneth J, Dankner, Rachel, Knuiman, Matthew W, Crespo, Carlos J, Gansevoort, Ron T, Goldbourt, Uri, Nordestgaard, Børge G, Shaw, Jonathan E, Mussolino, Michael, Nakagawa, Hidaeki, Fletcher, Astrid, Kuller, Lewis H, Gillum, Richard F, Gudnason, Vilmundur, Assmann, Gerd, Wald, Nicholas, Jousilahti, Pekka R, Greenland, Philip, Trevisan, Maurizio, Ulmer, Hanno, Butterworth, Adam S, Folsom, Aaron R, Davey-Smith, George, Hu, Frank B, Danesh, John, Tipping, Robert W, Ford, Charles E, Simpson, Lara M, Walldius, Göran, Jungner, Ingmar, Folsom, Aaron R, Demerath, Ellen W, Franceschini, Nora, Lutsey, Pamela L, Panagiotakos, Demosthenes B, Pitsavos, Christos, Chrysohoou, Christina, Stefanadis, Christodoulos, Shaw, Jonathan E, Atkins, Robert, Zimmet, Paul Z, Barr, Elizabeth LM, Knuiman, Matthew W, Whincup, Peter H, Wannamethee, S Goya, Morris, Richard W, Willeit, Johann, Kiechl, Stefan, Weger, Siegfried, Oberhollenzer, Friedrich, Wald, Nicholas, Ebrahim, Shah, Lawlor, Debbie A, Gallacher, John, Ben-Shlomo, Yoav, Yarnell, John WG, Casiglia, Edoardo, Tikhonoff, Valérie, Greenland, Philip, Shay, Christina M, Garside, Daniel B, Nietert, Paul J, Sutherland, Susan E, Bachman, David L, Keil, Julian E, de Boer, Ian H, Kizer, Jorge R, Psaty, Bruce M, Mukamal, Kenneth J, Nordestgaard, Børge G, Tybjærg-Hansen, Anne, Jensen, Gorm B, Schnohr, Peter, Giampaoli, Simona, Palmieri, Luigi, Panico, Salvatore, Pilotto, Lorenza, Vanuzzo, Diego, de la Cámara, Agustin Gómez, Simons, Leon A, Simons, Judith, McCallum, John, Friedlander, Yechiel, Gerry, F, Fowkes, R, Price, Jackie F, Lee, Amanda J, Taylor, James O, Guralnik, Jack M, Phillips, Caroline L, Wallace, Robert B, Kohout, Frank J, Cornoni-Huntley, Joan C, Guralnik, Jack M, Blazer, Dan G, Guralnik, Jack M, Phillips, Caroline L, Phillips, Caroline L, Guralnik, Jack M, Khaw, Kay-Tee, Wareham, Nicholas J, Brenner, Hermann, Schöttker, Ben, Müller, Heiko, Rothenbacher, Dietrich, Wennberg, Patrik, Jansson, Jan-Håkan, Nissinen, Aulikki, Donfrancesco, Chiara, Giampaoli, Simona, Woodward, Mark, Vartiainen, Erkki, Jousilahti, Pekka R, Harald, Kennet, Salomaa, Veikko, DʼAgostino, Ralph B, Vasan, Ramachandran S, Fox, Caroline S, Pencina, Michael J, Daimon, Makoto, Oizumi, Toshihide, Kayama, Takamasa, Kato, Takeo, Bladbjerg, Else-Marie, Jørgensen, Torben, Møller, Lars, Jespersen, Jørgen, Dankner, Rachel, Chetrit, Angela, Lubin, Flora, Svärdsudd, Kurt, Eriksson, Henry, Welin, Lennart, Lappas, Georgios, Rosengren, Annika, Lappas, Georgios, Welin, Lennart, Svärdsudd, Kurt, Eriksson, Henry, Lappas, Georgios, Bengtsson, Calle, Lissner, Lauren, Björkelund, Cecilia, Cremer, Peter, Nagel, Dorothea, Strandberg, Timo E, Salomaa, Veikko, Tilvis, Reijo S, Miettinen, Tatu A, Tilvis, Reijo S, Strandberg, Timo E, Kiyohara, Yutaka, Arima, Hisatomi, Doi, Yasufumi, Ninomiya, Toshiharu, Rodriguez, Beatriz, Dekker, Jacqueline M, Nijpels, Giel, Stehouwer, Coen DA, Hu, Frank B, Sun, Qi, Rimm, Eric B, Willett, Walter C, Iso, Hiroyasu, Kitamura, Akihiko, Yamagishi, Kazumasa, Noda, Hiroyuki, Goldbourt, Uri, Vartiainen, Erkki, Jousilahti, Pekka R, Harald, Kennet, Salomaa, Veikko, Kauhanen, Jussi, Salonen, Jukka T, Kurl, Sudhir, Tuomainen, Tomi-Pekka, Poppelaars, Jan L, Deeg, Dorly JH, Visser, Marjolein, Meade, Tom W, De Stavola, Bianca Lucia, Hedblad, Bo, Nilsson, Peter, Engström, Gunnar, Verschuren, WM Monique, Blokstra, Anneke, de Boer, Ian H, Shea, Steven J, Meisinger, Christa, Thorand, Barbara, Koenig, Wolfgang, Döring, Angela, Verschuren, WM Monique, Blokstra, Anneke, Bueno-de-Mesquita, H Bas, Wilhelmsen, Lars, Rosengren, Annika, Lappas, Georgios, Fletcher, Astrid, Nitsch, Dorothea, Kuller, Lewis H, Grandits, Greg, Tverdal, Aage, Selmer, Randi, Nystad, Wenche, Mussolino, Michael, Gillum, Richard F, Hu, Frank B, Sun, Qi, Manson, JoAnn E, Rimm, Eric B, Hankinson, Susan E, Meade, Tom W, De Stavola, Bianca Lucia, Cooper, Jackie A, Bauer, Kenneth A, Davidson, Karina W, Kirkland, Susan, Shaffer, Jonathan A, Shimbo, Daichi, Kitamura, Akihiko, Iso, Hiroyasu, Sato, Shinichi, Holme, Ingar, Selmer, Randi, Tverdal, Aage, Nystad, Wenche, Nakagawa, Hidaeki, Miura, Katsuyuki, Sakurai, Masaru, Ducimetiere, Pierre, Jouven, Xavier, Bakker, Stephan JL, Gansevoort, Ron T, van der Harst, Pim, Hillege, Hans L, Crespo, Carlos J, Garcia-Palmieri, Mario R, Kee, Frank, Amouyel, Philippe, Arveiler, Dominique, Ferrières, Jean, Schulte, Helmut, Assmann, Gerd, Jukema, J Wouter, de Craen, Anton JM, Sattar, Naveed, Stott, David J, Cantin, Bernard, Lamarche, Benoît, Després, Jean-Pierre, Dagenais, Gilles R, Barrett-Connor, Elizabeth, Bergstrom, Jaclyn, Bettencourt, Richele R, Buisson, Catherine, Gudnason, Vilmundur, Aspelund, Thor, Sigurdsson, Gunnar, Thorsson, Bolli, Trevisan, Maurizio, Hofman, Albert, Ikram, M Arfan, Tiemeier, Henning, Witteman, Jacqueline CM, Tunstall-Pedoe, Hugh, Tavendale, Roger, Lowe, Gordon DO, Woodward, Mark, Devereux, Richard, Yeh, Jeun-Liang, Ali, Tauqeer, Calhoun, Darren, Ben-Shlomo, Yoav, Davey-Smith, George, Onat, Altan, Can, Günay, Nakagawa, Hidaeki, Sakurai, Masaru, Nakamura, Koshi, Morikawa, Yuko, Njølstad, Inger, Mathiesen, Ellisiv B, Løchen, Maja-Lisa, Wilsgaard, Tom, Sundström, Johan, Ingelsson, Erik, Michaëlsson, Karl, Cederholm, Tommy, Gaziano, J Michael, Buring, Julie, Ridker, Paul M, Gaziano, J Michael, Ridker, Paul M, Ulmer, Hanno, Diem, Günter, Concin, Hans, Rodeghiero, Francesco, Tosetto, Alberto, Wassertheil-Smoller, Sylvia, Manson, JoAnn E, Marmot, Michael, Clarke, Robert, Fletcher, Astrid, Brunner, Eric, Shipley, Martin, Kivimaki, Mika, Ridker, Paul M, Buring, Julie, Ford, Ian, Robertson, Michele, Ibañez, Alejandro Marín, Feskens, Edith, Geleijnse, Johanna M, Kromhout, Daan, Walker, Matthew, Watson, Sarah, Alexander, Myriam, Butterworth, Adam S, Angelantonio, Emanuele Di, Franco, Oscar H, Gao, Pei, Gobin, Reeta, Haycock, Philip, Kaptoge, Stephen, Seshasai, Sreenivasa R Kondapally, Lewington, Sarah, Pennells, Lisa, Rapsomaniki, Eleni, Sarwar, Nadeem, Thompson, Alexander, Thompson, Simon G, Walker, Matthew, Watson, Sarah, White, Ian R, Wood, Angela M, Wormser, David, Zhao, Xiaohui, and Danesh, John

Published
2012
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3. Assessing Risk Prediction Models Using Individual Participant Data From Multiple Studies

Author

Pennells, Lisa, Kaptoge, Stephen, White, Ian R., Thompson, Simon G., Wood, Angela M., Tipping, Robert W., Folsom, Aaron R., Couper, David J., Ballantyne, Christie M., Coresh, Josef, Goya Wannamethee, S., Morris, Richard W., Kiechl, Stefan, Willeit, Johann, Willeit, Peter, Schett, Georg, Ebrahim, Shah, Lawlor, Debbie A., Yarnell, John W., Gallacher, John, Cushman, Mary, Psaty, Bruce M., Tracy, Russ, Tybjærg-Hansen, Anne, Price, Jackie F., Lee, Amanda J., McLachlan, Stela, Khaw, Kay-Tee, Wareham, Nicholas J., Brenner, Hermann, Schöttker, Ben, Müller, Heiko, Jansson, Jan-Håkan, Wennberg, Patrik, Salomaa, Veikko, Harald, Kennet, Jousilahti, Pekka, Vartiainen, Erkki, Woodward, Mark, DʼAgostino, Ralph B., Bladbjerg, Else-Marie, Jørgensen, Torben, Kiyohara, Yutaka, Arima, Hisatomi, Doi, Yasufumi, Ninomiya, Toshiharu, Dekker, Jacqueline M., Nijpels, Giel, Stehouwer, Coen D. A., Kauhanen, Jussi, Salonen, Jukka T., Meade, Tom W., Cooper, Jackie A., Cushman, Mary, Folsom, Aaron R., Psaty, Bruce M., Shea, Steven, Döring, Angela, Kuller, Lewis H., Grandits, Greg, Gillum, Richard F., Mussolino, Michael, Rimm, Eric B., Hankinson, Sue E., Manson, JoAnn E., Pai, Jennifer K., Kirkland, Susan, Shaffer, Jonathan A., Shimbo, Daichi, Bakker, Stephan J. L., Gansevoort, Ron T., Hillege, Hans L., Amouyel, Philippe, Arveiler, Dominique, Evans, Alun, Ferrières, Jean, Sattar, Naveed, Westendorp, Rudi G., Buckley, Brendan M., Cantin, Bernard, Lamarche, Benoît, Barrett-Connor, Elizabeth, Wingard, Deborah L., Bettencourt, Richele, Gudnason, Vilmundur, Aspelund, Thor, Sigurdsson, Gunnar, Thorsson, Bolli, Kavousi, Maryam, Witteman, Jacqueline C., Hofman, Albert, Franco, Oscar H., Howard, Barbara V., Zhang, Ying, Best, Lyle, Umans, Jason G., Onat, Altan, Sundström, Johan, Michael Gaziano, J., Stampfer, Meir, Ridker, Paul M., Michael Gaziano, J., Ridker, Paul M., Marmot, Michael, Clarke, Robert, Collins, Rory, Fletcher, Astrid, Brunner, Eric, Shipley, Martin, Kivimäki, Mika, Ridker, Paul M., Buring, Julie, Cook, Nancy, Ford, Ian, Shepherd, James, Cobbe, Stuart M., Robertson, Michele, Walker, Matthew, Watson, Sarah, Alexander, Myriam, Butterworth, Adam S., Angelantonio, Emanuele Di, Gao, Pei, Haycock, Philip, Kaptoge, Stephen, Pennells, Lisa, Thompson, Simon G., Walker, Matthew, Watson, Sarah, White, Ian R., Wood, Angela M., Wormser, David, and Danesh, John

Published
2014
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4. Comparison of Treatment Outcomes between Analysis Populations in the RESTORE-IMI 1 Phase 3 Trial of Imipenem-Cilastatin-Relebactam versus Colistin plus Imipenem-Cilastatin in Patients with Imipenem-Nonsusceptible Bacterial Infections

Author

Kaye, Keith S., primary, Boucher, Helen W., additional, Brown, Michelle L., additional, Aggrey, Angela, additional, Khan, Ireen, additional, Joeng, Hee-Koung, additional, Tipping, Robert W., additional, Du, Jiejun, additional, Young, Katherine, additional, Butterton, Joan R., additional, and Paschke, Amanda, additional

Published
2020
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5. Evaluation of Renal Safety Between Imipenem/Relebactam and Colistin Plus Imipenem in Patients With Imipenem-Nonsusceptible Bacterial Infections in the Randomized, Phase 3 RESTORE-IMI 1 Study

Author

Brown, Michelle L, primary, Motsch, Johann, primary, Kaye, Keith S, primary, File, Thomas M, primary, Boucher, Helen W, primary, Vendetti, Neika, primary, Aggrey, Angela, primary, Joeng, Hee-Koung, primary, Tipping, Robert W, primary, Du, Jiejun, primary, DePestel, Daryl D, primary, Butterton, Joan R, primary, and Paschke, Amanda, primary

Published
2020
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6. 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
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8. 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, Borge G., Blaha, Michael J., Kuller, Lewis H., Brenner, Hermann, Gillum, Richard F., Meisinger, Christa, Ford, Ian, Knuiman, Matthew W., Rosengren, Annika, Lawlor, Debbie A., Volzke, Henry, Cooper, Cyrus, Ibanez, Alejandro Marin, Casiglia, Edoardo, Kauhanen, Jussi, Cooper, Jackie A., Rodriguez, Beatriz, Sundstrom, Johan, Barrett-Connor, Elizabeth, Dankner, Rachel, Nietert, Paul J., Davidson, Karina W., Wallace, Robert B., Blazer, Dan G., Bjorkelund, Cecilia, Donfrancesco, Chiara, Krumholz, Harlan M., Nissinen, Aulikki, Davis, Barry R., Coady, Sean, Whincup, Peter H., Jørgensen, Torben, Ducimetiere, Pierre, Trevisan, Maurizio, Engstrom, Gunnar, Crespo, Carlos J., Meade, Tomw., Visser, Marjolein, Kromhout, Daan, Kiechl, Stefan, Daimon, Makoto, Price, Jackie F., de la Camara, Agustin Gomez, Jukema, J. Wouter, Lamarche, Benoit, Onat, Altan, Simons, Leon A., Kavousi, Maryam, Ben-Shlomo, Yoav, Gallacher, John, Dekker, Jacqueline M., Arima, Hisatomi, Shara, Nawar, Tipping, RobertW., 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, Verschuren, W. M. Monique, 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, D'Agostino, Ralph B., Sr., Thompson, Simon G., Danesh, John, Di Angelantonio, Emanuele, Tipping, Robert W., 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, Valerie, Sutherland, Susan E., Cushman, Mary, Sogaard, Anne Johanne, Haheim, Lise Lund, Ariansen, Inger, Tybjærg-Hansen, Anne, Jensen, Gorm B., Schnohr, Peter, Giampaoli, Simona, Vanuzzo, Diego, Panico, Salvatore, Balkau, Beverley, Bonnet, Fabrice, Marre, Michel, Herrera, Miguel Angel Rubio, Friedlander, Yechiel, McCallum, John, McLachlan, Stela, Guralnik, Jack, Phillips, Caroline L., Wareham, Nick, Schottker, Ben, Saum, Kai-Uwe, Holleczek, Bernd, Tolonen, Hanna, Jousilahti, Pekka, Harald, Kennet, Massaro, Joseph M., Pencina, Michael, Vasan, Ramachandran, Kayama, Takamasa, Kato, Takeo, Oizumi, Toshihide, Jespersen, Jorgen, 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, Vartiainen, Erkki, 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, Watt, Graham, Verschuren, Monique, 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., Despres, 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, Gunay, Yuksel, Husniye, Nakagawa, Hideaki, Morikawa, Yuko, Miura, Katsuyuki, Ingelsson, Martin, Giedraitis, Vilmantas, Gaziano, J. Michael, Shipley, Martin, Arndt, Volker, Geleijnse, Johanna M., 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, Borge G., Blaha, Michael J., Kuller, Lewis H., Brenner, Hermann, Gillum, Richard F., Meisinger, Christa, Ford, Ian, Knuiman, Matthew W., Rosengren, Annika, Lawlor, Debbie A., Volzke, Henry, Cooper, Cyrus, Ibanez, Alejandro Marin, Casiglia, Edoardo, Kauhanen, Jussi, Cooper, Jackie A., Rodriguez, Beatriz, Sundstrom, Johan, Barrett-Connor, Elizabeth, Dankner, Rachel, Nietert, Paul J., Davidson, Karina W., Wallace, Robert B., Blazer, Dan G., Bjorkelund, Cecilia, Donfrancesco, Chiara, Krumholz, Harlan M., Nissinen, Aulikki, Davis, Barry R., Coady, Sean, Whincup, Peter H., Jørgensen, Torben, Ducimetiere, Pierre, Trevisan, Maurizio, Engstrom, Gunnar, Crespo, Carlos J., Meade, Tomw., Visser, Marjolein, Kromhout, Daan, Kiechl, Stefan, Daimon, Makoto, Price, Jackie F., de la Camara, Agustin Gomez, Jukema, J. Wouter, Lamarche, Benoit, Onat, Altan, Simons, Leon A., Kavousi, Maryam, Ben-Shlomo, Yoav, Gallacher, John, Dekker, Jacqueline M., Arima, Hisatomi, Shara, Nawar, Tipping, RobertW., 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, Verschuren, W. M. Monique, 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, D'Agostino, Ralph B., Sr., Thompson, Simon G., Danesh, John, Di Angelantonio, Emanuele, Tipping, Robert W., 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, Valerie, Sutherland, Susan E., Cushman, Mary, Sogaard, Anne Johanne, Haheim, Lise Lund, Ariansen, Inger, Tybjærg-Hansen, Anne, Jensen, Gorm B., Schnohr, Peter, Giampaoli, Simona, Vanuzzo, Diego, Panico, Salvatore, Balkau, Beverley, Bonnet, Fabrice, Marre, Michel, Herrera, Miguel Angel Rubio, Friedlander, Yechiel, McCallum, John, McLachlan, Stela, Guralnik, Jack, Phillips, Caroline L., Wareham, Nick, Schottker, Ben, Saum, Kai-Uwe, Holleczek, Bernd, Tolonen, Hanna, Jousilahti, Pekka, Harald, Kennet, Massaro, Joseph M., Pencina, Michael, Vasan, Ramachandran, Kayama, Takamasa, Kato, Takeo, Oizumi, Toshihide, Jespersen, Jorgen, 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, Vartiainen, Erkki, 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, Watt, Graham, Verschuren, Monique, 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., Despres, 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, Gunay, Yuksel, Husniye, Nakagawa, Hideaki, Morikawa, Yuko, Miura, Katsuyuki, Ingelsson, Martin, Giedraitis, Vilmantas, Gaziano, J. Michael, Shipley, Martin, Arndt, Volker, and Geleijnse, Johanna M.

Published
2019

10. RESTORE-IMI 1: A Multicenter, Randomized, Double-blind Trial Comparing Efficacy and Safety of Imipenem/Relebactam vs Colistin Plus Imipenem in Patients With Imipenem-nonsusceptible Bacterial Infections

Author

Motsch, Johann, primary, Murta de Oliveira, Cláudia, primary, Stus, Viktor, primary, Köksal, Iftihar, primary, Lyulko, Olexiy, primary, Boucher, Helen W, primary, Kaye, Keith S, primary, File, Thomas M, primary, Brown, Michelle L, primary, Khan, Ireen, primary, Du, Jiejun, primary, Joeng, Hee-Koung, primary, Tipping, Robert W, primary, Aggrey, Angela, primary, Young, Katherine, primary, Kartsonis, Nicholas A, primary, Butterton, Joan R, primary, and Paschke, Amanda, primary

Published
2019
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11. REPEATED MEASUREMENTS OF BLOOD PRESSURE AND CHOLESTEROL IMPROVES CARDIOVASCULAR DISEASE RISK PREDICTION: AN INDIVIDUAL-PARTICIPANT-DATA META-ANALYSIS

Author

Paige, Ellie, Barrett, Jessica, Pennells, Lisa, Sweeting, Michael, Willeit, Peter, Di Angelantonio, Emanuele, Gudnason, Vilmundur, Nordestgaard, Børge G, Psaty, Bruce M, Goldbourt, Uri, Best, Lyle G, Assmann, Gerd, Salonen, Jukka T, Nietert, Paul J, Verschuren, Wm Monique, Brunner, Eric J, Kronmal, Richard A, Salomaa, Veikko, Bakker, Stephan Jl, Dagenais, Gilles R, Sato, Shinichi, Jansson, Jan Håkan, Willeit, Johann, Onat, Altan, de la Cámara, Agustin Gómez, Roussel, Ronan, Völzke, Henry, Dankner, Rachel, Tipping, Robert W, Meade, Tom W, Donfrancesco, Chiara, Kuller, Lewis H, Peters, Annette, Gallacher, John, Kromhout, Daan, Iso, Hiroyasu, Knuiman, Matthew, Casiglia, Edoardo, Kavousi, Maryam, Palmieri, Luigi, Sundström, Johan, Davis, Barry R, Njølstad, Inger, Couper, David, Danesh, John, Thompson, Simon G, and Wood, Angela

Subjects
repeated risk factors, risk prediction, Cardiovascular disease, longitudinal measurements
Published
2017

12. RESTORE-IMI 1: A Multicenter, Randomized, Double-blind Trial Comparing Efficacy and Safety of Imipenem/Relebactam vs Colistin Plus Imipenem in Patients With Imipenem-nonsusceptible Bacterial Infections.

Author

Motsch, Johann, Oliveira, Cláudia Murta de, Stus, Viktor, Köksal, Iftihar, Lyulko, Olexiy, Boucher, Helen W, Kaye, Keith S, File, Thomas M, Brown, Michelle L, Khan, Ireen, Du, Jiejun, Joeng, Hee-Koung, Tipping, Robert W, Aggrey, Angela, Young, Katherine, Kartsonis, Nicholas A, Butterton, Joan R, and Paschke, Amanda

Subjects
ANTIBIOTICS, CONFIDENCE intervals, DRUG side effects, ENTEROBACTERIACEAE, ENZYME inhibitors, GRAM-negative bacterial diseases, KLEBSIELLA, MEDICAL cooperation, NEPHROTOXICOLOGY, RESEARCH, STATISTICAL sampling, RANDOMIZED controlled trials, TREATMENT effectiveness, BLIND experiment, DESCRIPTIVE statistics, COLISTIN, IMIPENEM
Abstract

Background The β-lactamase inhibitor relebactam can restore imipenem activity against imipenem-nonsusceptible gram-negative pathogens. We evaluated imipenem/relebactam for treating imipenem-nonsusceptible infections. Methods Randomized, controlled, double-blind, phase 3 trial. Hospitalized patients with hospital-acquired/ventilator-associated pneumonia, complicated intraabdominal infection, or complicated urinary tract infection caused by imipenem-nonsusceptible (but colistin- and imipenem/relebactam-susceptible) pathogens were randomized 2:1 to 5–21 days imipenem/relebactam or colistin+imipenem. Primary endpoint: favorable overall response (defined by relevant endpoints for each infection type) in the modified microbiologic intent-to-treat (mMITT) population (qualifying baseline pathogen and ≥1 dose study treatment). Secondary endpoints: clinical response, all-cause mortality, and treatment-emergent nephrotoxicity. Safety analyses included patients with ≥1 dose study treatment. Results Thirty-one patients received imipenem/relebactam and 16 colistin+imipenem. Among mITT patients (n = 21 imipenem/relebactam, n = 10 colistin+imipenem), 29% had Acute Physiology and Chronic Health Evaluation II scores >15, 23% had creatinine clearance <60 mL/min, and 35% were aged ≥65 years. Qualifying baseline pathogens: Pseudomonas aeruginosa (77%), Klebsiella spp. (16%), other Enterobacteriaceae (6%). Favorable overall response was observed in 71% imipenem/relebactam and 70% colistin+imipenem patients (90% confidence interval [CI] for difference, –27.5, 21.4), day 28 favorable clinical response in 71% and 40% (90% CI, 1.3, 51.5), and 28-day mortality in 10% and 30% (90% CI, –46.4, 6.7), respectively. Serious adverse events (AEs) occurred in 10% of imipenem/relebactam and 31% of colistin+imipenem patients, drug-related AEs in 16% and 31% (no drug-related deaths), and treatment-emergent nephrotoxicity in 10% and 56% (P =.002), respectively. Conclusions Imipenem/relebactam is an efficacious and well-tolerated treatment option for carbapenem-nonsusceptible infections. Clinical Trials Registration NCT02452047. [ABSTRACT FROM AUTHOR]

Published
2020
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13. Use of Repeated Blood Pressure and Cholesterol Measurements to Improve Cardiovascular Disease Risk Prediction:An Individual-Participant-Data Meta-Analysis

Author

Paige, Ellie, Barrett, Jessica, Pennells, Lisa, Sweeting, Michael, Willeit, Peter, Di Angelantonio, Emanuele, Gudnason, Vilmundur, Nordestgaard, Børge G, Psaty, Bruce M, Goldbourt, Uri, Best, Lyle G, Assmann, Gerd, Salonen, Jukka T, Nietert, Paul J, Verschuren, W M Monique, Brunner, Eric J, Kronmal, Richard A, Salomaa, Veikko, Bakker, Stephan J L, Dagenais, Gilles R, Sato, Shinichi, Jansson, Jan-Håkan, Willeit, Johann, Onat, Altan, de la Cámara, Agustin Gómez, Roussel, Ronan, Völzke, Henry, Dankner, Rachel, Tipping, Robert W, Meade, Tom W, Donfrancesco, Chiara, Kuller, Lewis H, Peters, Annette, Gallacher, John, Kromhout, Daan, Iso, Hiroyasu, Knuiman, Matthew, Casiglia, Edoardo, Kavousi, Maryam, Palmieri, Luigi, Sundström, Johan, Davis, Barry R, Njølstad, Inger, Couper, David, Danesh, John, Thompson, Simon G, Wood, Angela, Paige, Ellie, Barrett, Jessica, Pennells, Lisa, Sweeting, Michael, Willeit, Peter, Di Angelantonio, Emanuele, Gudnason, Vilmundur, Nordestgaard, Børge G, Psaty, Bruce M, Goldbourt, Uri, Best, Lyle G, Assmann, Gerd, Salonen, Jukka T, Nietert, Paul J, Verschuren, W M Monique, Brunner, Eric J, Kronmal, Richard A, Salomaa, Veikko, Bakker, Stephan J L, Dagenais, Gilles R, Sato, Shinichi, Jansson, Jan-Håkan, Willeit, Johann, Onat, Altan, de la Cámara, Agustin Gómez, Roussel, Ronan, Völzke, Henry, Dankner, Rachel, Tipping, Robert W, Meade, Tom W, Donfrancesco, Chiara, Kuller, Lewis H, Peters, Annette, Gallacher, John, Kromhout, Daan, Iso, Hiroyasu, Knuiman, Matthew, Casiglia, Edoardo, Kavousi, Maryam, Palmieri, Luigi, Sundström, Johan, Davis, Barry R, Njølstad, Inger, Couper, David, Danesh, John, Thompson, Simon G, and Wood, Angela

Abstract

The added value of incorporating information from repeated blood pressure and cholesterol measurements to predict cardiovascular disease (CVD) risk has not been rigorously assessed. We used data on 191,445 adults from the Emerging Risk Factors Collaboration (38 cohorts from 17 countries with data encompassing 1962-2014) with more than 1 million measurements of systolic blood pressure, total cholesterol, and high-density lipoprotein cholesterol. Over a median 12 years of follow-up, 21,170 CVD events occurred. Risk prediction models using cumulative mean values of repeated measurements and summary measures from longitudinal modeling of the repeated measurements were compared with models using measurements from a single time point. Risk discrimination (C-index) and net reclassification were calculated, and changes in C-indices were meta-analyzed across studies. Compared with the single-time-point model, the cumulative means and longitudinal models increased the C-index by 0.0040 (95% confidence interval (CI): 0.0023, 0.0057) and 0.0023 (95% CI: 0.0005, 0.0042), respectively. Reclassification was also improved in both models; compared with the single-time-point model, overall net reclassification improvements were 0.0369 (95% CI: 0.0303, 0.0436) for the cumulative-means model and 0.0177 (95% CI: 0.0110, 0.0243) for the longitudinal model. In conclusion, incorporating repeated measurements of blood pressure and cholesterol into CVD risk prediction models slightly improves risk prediction.

Published
2017

15. C-Reactive Protein, Fibrinogen, and Cardiovascular Disease Prediction

Author

Emerging Risk Factors Collaboration, Kaptoge, Stephen, Di Angelantonio, Emanuele, Pennells, Lisa, Wood, Angela M, White, Ian R, Gao, Pei, Walker, Matthew, Thompson, Alexander, Sarwar, Nadeem, Caslake, Muriel, Butterworth, Adam S, Amouyel, Philippe, Assmann, Gerd, Bakker, Stephan JL, Barr, Elizabeth LM, Barrett-Connor, Elizabeth, Benjamin, Emelia J, Björkelund, Cecilia, Brenner, Hermann, Brunner, Eric, Clarke, Robert, Cooper, Jackie A, Cremer, Peter, Cushman, Mary, Dagenais, Gilles R, D'Agostino, Ralph B, Dankner, Rachel, Davey-Smith, George, Deeg, Dorly, Dekker, Jacqueline M, Engström, Gunnar, Folsom, Aaron R, Fowkes, F Gerry R, Gallacher, John, Gaziano, J Michael, Giampaoli, Simona, Gillum, Richard F, Hofman, Albert, Howard, Barbara V, Ingelsson, Erik, Iso, Hiroyasu, Jørgensen, Torben, Kiechl, Stefan, Kitamura, Akihiko, Kiyohara, Yutaka, Koenig, Wolfgang, Kromhout, Daan, Kuller, Lewis H, Lawlor, Debbie A, Meade, Tom W, Nissinen, Aulikki, Nordestgaard, Børge G, Onat, Altan, Panagiotakos, Demosthenes B, Psaty, Bruce M, Rodriguez, Beatriz, Rosengren, Annika, Salomaa, Veikko, Kauhanen, Jussi, Salonen, Jukka T, Shaffer, Jonathan A, Shea, Steven, Ford, Ian, Stehouwer, Coen DA, Strandberg, Timo E, Tipping, Robert W, Tosetto, Alberto, Wassertheil-Smoller, Sylvia, Wennberg, Patrik, Westendorp, Rudi G, Whincup, Peter H, Wilhelmsen, Lars, Woodward, Mark, Lowe, Gordon DO, Wareham, Nicholas J, Khaw, Kay-Tee, Sattar, Naveed, Packard, Chris J, Gudnason, Vilmundur, Ridker, Paul M, Pepys, Mark B, Thompson, Simon G, and Danesh, John

Abstract

BACKGROUND: There is debate about the value of assessing levels of C-reactive protein (CRP) and other biomarkers of inflammation for the prediction of first cardiovascular events. METHODS: We analyzed data from 52 prospective studies that included 246,669 participants without a history of cardiovascular disease to investigate the value of adding CRP or fibrinogen levels to conventional risk factors for the prediction of cardiovascular risk. We calculated measures of discrimination and reclassification during follow-up and modeled the clinical implications of initiation of statin therapy after the assessment of CRP or fibrinogen. RESULTS: The addition of information on high-density lipoprotein cholesterol to a prognostic model for cardiovascular disease that included age, sex, smoking status, blood pressure, history of diabetes, and total cholesterol level increased the C-index, a measure of risk discrimination, by 0.0050. The further addition to this model of information on CRP or fibrinogen increased the C-index by 0.0039 and 0.0027, respectively (P

Published
2012

16. Lipid-Related Markers and Cardiovascular Disease Prediction

Author

Di Angelantonio, Emanuele, Gao, Pei, Pennells, Lisa, Kaptoge, Stephen, Caslake, Muriel, Thompson, Alexander, Butterworth, Adam S., Sarwar, Nadeem, Wormser, David, Saleheen, Danish, Ballantyne, Christie M., Psaty, Bruce M., Sundström, Johan, Ridker, Paul M., Nagel, Dorothea, Gillum, Richard F., Ford, Ian, Ducimetiere, Pierre, Kiechl, Stefan, Dullaart, Robin P. F., Assmann, Gerd, D'Agostino, Ralph B., Dagenais, Gilles R., Cooper, Jackie A., Kromhout, Daan, Onat, Altan, Tipping, Robert W., Gomez-de-la-Camara, Agustin, Rosengren, Annika, Sutherland, Susan E., Gallacher, John, Fowkes, F. Gerry R., Casiglia, Edoardo, Hofman, Albert, Salomaa, Veikko, Barrett-Connor, Elizabeth, Clarke, Robert, Brunner, Eric, Jukema, J. Wouter, Simons, Leon A., Sandhu, Manjinder, Wareham, Nicholas J., Khaw, Kay-Tee, Kauhanen, Jussi, Salonen, Jukka T., Howard, William J., Nordestgaard, Borge G., Wood, Angela M., Thompson, Simon G., Boekholdt, S. Matthijs, Sattar, Naveed, Packard, Chris, Gudnason, Vilmundur, Danesh, John, Di Angelantonio, Emanuele, Gao, Pei, Pennells, Lisa, Kaptoge, Stephen, Caslake, Muriel, Thompson, Alexander, Butterworth, Adam S., Sarwar, Nadeem, Wormser, David, Saleheen, Danish, Ballantyne, Christie M., Psaty, Bruce M., Sundström, Johan, Ridker, Paul M., Nagel, Dorothea, Gillum, Richard F., Ford, Ian, Ducimetiere, Pierre, Kiechl, Stefan, Dullaart, Robin P. F., Assmann, Gerd, D'Agostino, Ralph B., Dagenais, Gilles R., Cooper, Jackie A., Kromhout, Daan, Onat, Altan, Tipping, Robert W., Gomez-de-la-Camara, Agustin, Rosengren, Annika, Sutherland, Susan E., Gallacher, John, Fowkes, F. Gerry R., Casiglia, Edoardo, Hofman, Albert, Salomaa, Veikko, Barrett-Connor, Elizabeth, Clarke, Robert, Brunner, Eric, Jukema, J. Wouter, Simons, Leon A., Sandhu, Manjinder, Wareham, Nicholas J., Khaw, Kay-Tee, Kauhanen, Jussi, Salonen, Jukka T., Howard, William J., Nordestgaard, Borge G., Wood, Angela M., Thompson, Simon G., Boekholdt, S. Matthijs, Sattar, Naveed, Packard, Chris, Gudnason, Vilmundur, and Danesh, John

Abstract

Context The value of assessing various emerging lipid-related markers for prediction of first cardiovascular events is debated. Objective To determine whether adding information on apolipoprotein B and apolipoprotein A-I, lipoprotein(a), or lipoprotein-associated phospholipase A2 to total cholesterol and high-density lipoprotein cholesterol (HDL-C) improves cardiovascular disease (CVD) risk prediction. Design, Setting, and Participants Individual records were available for 165 544 participants without baseline CVD in 37 prospective cohorts (calendar years of recruitment: 1968-2007) with up to 15 126 incident fatal or nonfatal CVD outcomes (10 132 CHD and 4994 stroke outcomes) during a median follow-up of 10.4 years (interquartile range, 7.6-14 years). Main Outcome Measures Discrimination of CVD outcomes and reclassification of participants across predicted 10-year risk categories of low (<10%), intermediate (10%-<20%), and high (≥20%) risk. Results The addition of information on various lipid-related markers to total cholesterol, HDL-C, and other conventional risk factors yielded improvement in the model's discrimination: C-index change, 0.0006 (95% CI, 0.0002-0.0009) for the combination of apolipoprotein B and A-I; 0.0016 (95% CI, 0.0009-0.0023) for lipoprotein(a); and 0.0018 (95% CI, 0.0010-0.0026) for lipoprotein-associated phospholipase A2 mass. Net reclassification improvements were less than 1% with the addition of each of these markers to risk scores containing conventional risk factors. We estimated that for 100 000 adults aged 40 years or older, 15 436 would be initially classified at intermediate risk using conventional risk factors alone. Additional testing with a combination of apolipoprotein B and A-I would reclassify 1.1%; lipoprotein(a), 4.1%; and lipoprotein-associated phospholipase A2 mass, 2.7% of people to a 20% or higher predicted CVD risk category and, therefore, in need of statin treatment under Adult Treatment Panel III guidelines. C

Published
2012
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17. C-reactive protein, fibrinogen, and cardiovascular disease prediction

Author

Kaptoge, Stephen, Di Angelantonio, Emanuele, Pennells, Lisa, Wood, Angela M, White, Ian R, Gao, Pei, Walker, Matthew, Thompson, Alexander, Sarwar, Nadeem, Caslake, Muriel, Butterworth, Adam S, Amouyel, Philippe, Assmann, Gerd, Bakker, Stephan J L, Barr, Elizabeth L M, Barrett-Connor, Elizabeth, Benjamin, Emelia J, Björkelund, Cecilia, Brenner, Hermann, Brunner, Eric, Clarke, Robert, Cooper, Jackie A, Cremer, Peter, Cushman, Mary, Dagenais, Gilles R, D'Agostino, Ralph B, Dankner, Rachel, Davey-Smith, George, Deeg, Dorly, Dekker, Jacqueline M, Engström, Gunnar, Folsom, Aaron R, Fowkes, F Gerry R, Gallacher, John, Gaziano, J Michael, Giampaoli, Simona, Gillum, Richard F, Hofman, Albert, Howard, Barbara V, Ingelsson, Erik, Iso, Hiroyasu, Jørgensen, Torben, Kiechl, Stefan, Kitamura, Akihiko, Kiyohara, Yutaka, Koenig, Wolfgang, Kromhout, Daan, Kuller, Lewis H, Lawlor, Debbie A, Meade, Tom W, Nissinen, Aulikki, Nordestgaard, Børge G, Onat, Altan, Panagiotakos, Demosthenes B, Psaty, Bruce M, Rodriguez, Beatriz, Rosengren, Annika, Salomaa, Veikko, Kauhanen, Jussi, Salonen, Jukka T, Shaffer, Jonathan A, Shea, Steven, Ford, Ian, Stehouwer, Coen D A, Strandberg, Timo E, Tipping, Robert W, Tosetto, Alberto, Wassertheil-Smoller, Sylvia, Wennberg, Patrik, Westendorp, Rudi G, Whincup, Peter H, Wilhelmsen, Lars, Woodward, Mark, Lowe, Gordon D O, Wareham, Nicholas J, Khaw, Kay-Tee, Sattar, Naveed, Packard, Chris J, Gudnason, Vilmundur, Ridker, Paul M, Pepys, Mark B, Thompson, Simon G, Danesh, John, Kaptoge, Stephen, Di Angelantonio, Emanuele, Pennells, Lisa, Wood, Angela M, White, Ian R, Gao, Pei, Walker, Matthew, Thompson, Alexander, Sarwar, Nadeem, Caslake, Muriel, Butterworth, Adam S, Amouyel, Philippe, Assmann, Gerd, Bakker, Stephan J L, Barr, Elizabeth L M, Barrett-Connor, Elizabeth, Benjamin, Emelia J, Björkelund, Cecilia, Brenner, Hermann, Brunner, Eric, Clarke, Robert, Cooper, Jackie A, Cremer, Peter, Cushman, Mary, Dagenais, Gilles R, D'Agostino, Ralph B, Dankner, Rachel, Davey-Smith, George, Deeg, Dorly, Dekker, Jacqueline M, Engström, Gunnar, Folsom, Aaron R, Fowkes, F Gerry R, Gallacher, John, Gaziano, J Michael, Giampaoli, Simona, Gillum, Richard F, Hofman, Albert, Howard, Barbara V, Ingelsson, Erik, Iso, Hiroyasu, Jørgensen, Torben, Kiechl, Stefan, Kitamura, Akihiko, Kiyohara, Yutaka, Koenig, Wolfgang, Kromhout, Daan, Kuller, Lewis H, Lawlor, Debbie A, Meade, Tom W, Nissinen, Aulikki, Nordestgaard, Børge G, Onat, Altan, Panagiotakos, Demosthenes B, Psaty, Bruce M, Rodriguez, Beatriz, Rosengren, Annika, Salomaa, Veikko, Kauhanen, Jussi, Salonen, Jukka T, Shaffer, Jonathan A, Shea, Steven, Ford, Ian, Stehouwer, Coen D A, Strandberg, Timo E, Tipping, Robert W, Tosetto, Alberto, Wassertheil-Smoller, Sylvia, Wennberg, Patrik, Westendorp, Rudi G, Whincup, Peter H, Wilhelmsen, Lars, Woodward, Mark, Lowe, Gordon D O, Wareham, Nicholas J, Khaw, Kay-Tee, Sattar, Naveed, Packard, Chris J, Gudnason, Vilmundur, Ridker, Paul M, Pepys, Mark B, Thompson, Simon G, and Danesh, John

Abstract

BACKGROUND: There is debate about the value of assessing levels of C-reactive protein (CRP) and other biomarkers of inflammation for the prediction of first cardiovascular events. METHODS: We analyzed data from 52 prospective studies that included 246,669 participants without a history of cardiovascular disease to investigate the value of adding CRP or fibrinogen levels to conventional risk factors for the prediction of cardiovascular risk. We calculated measures of discrimination and reclassification during follow-up and modeled the clinical implications of initiation of statin therapy after the assessment of CRP or fibrinogen. RESULTS: The addition of information on high-density lipoprotein cholesterol to a prognostic model for cardiovascular disease that included age, sex, smoking status, blood pressure, history of diabetes, and total cholesterol level increased the C-index, a measure of risk discrimination, by 0.0050. The further addition to this model of information on CRP or fibrinogen increased the C-index by 0.0039 and 0.0027, respectively (P<0.001), and yielded a net reclassification improvement of 1.52% and 0.83%, respectively, for the predicted 10-year risk categories of "low" (<10%), "intermediate" (10% to <20%), and "high" (≥20%) (P<0.02 for both comparisons). We estimated that among 100,000 adults 40 years of age or older, 15,025 persons would initially be classified as being at intermediate risk for a cardiovascular event if conventional risk factors alone were used to calculate risk. Assuming that statin therapy would be initiated in accordance with Adult Treatment Panel III guidelines (i.e., for persons with a predicted risk of ≥20% and for those with certain other risk factors, such as diabetes, irrespective of their 10-year predicted risk), additional targeted assessment of CRP or fibrinogen levels in the 13,199 remaining participants at intermediate risk could help prevent approximately 30 additional cardiovascular events over the cou, Liisa Byberg (Department of Surgical Sciences, Orthopaedics, Uppsala University, Sweden) contributed to this study.

Published
2012
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26. C-reactive protein, fibrinogen, and cardiovascular disease prediction.

Author

Kaptoge S, Di Angelantonio E, Pennells L, Wood AM, White IR, Gao P, Walker M, Thompson A, Sarwar N, Caslake M, Butterworth AS, Amouyel P, Assmann G, Bakker SJ, Barr EL, Barrett-Connor E, Benjamin EJ, Björkelund C, Brenner H, Brunner E, Clarke R, Cooper JA, Cremer P, Cushman M, Dagenais GR, D'Agostino RB Sr, Dankner R, Davey-Smith G, Deeg D, Dekker JM, Engström G, Folsom AR, Fowkes FG, Gallacher J, Gaziano JM, Giampaoli S, Gillum RF, Hofman A, Howard BV, Ingelsson E, Iso H, Jørgensen T, Kiechl S, Kitamura A, Kiyohara Y, Koenig W, Kromhout D, Kuller LH, Lawlor DA, Meade TW, Nissinen A, Nordestgaard BG, Onat A, Panagiotakos DB, Psaty BM, Rodriguez B, Rosengren A, Salomaa V, Kauhanen J, Salonen JT, Shaffer JA, Shea S, Ford I, Stehouwer CD, Strandberg TE, Tipping RW, Tosetto A, Wassertheil-Smoller S, Wennberg P, Westendorp RG, Whincup PH, Wilhelmsen L, Woodward M, Lowe GD, Wareham NJ, Khaw KT, Sattar N, Packard CJ, Gudnason V, Ridker PM, Pepys MB, Thompson SG, and Danesh J

Subjects
Adult, Biomarkers blood, Cardiovascular Diseases blood, Cohort Studies, Female, Humans, Lipids blood, Male, Mass Screening, Middle Aged, Practice Guidelines as Topic, Prognosis, Proportional Hazards Models, Risk Factors, C-Reactive Protein metabolism, Cardiovascular Diseases prevention & control, Fibrinogen metabolism
Abstract

Background: There is debate about the value of assessing levels of C-reactive protein (CRP) and other biomarkers of inflammation for the prediction of first cardiovascular events., Methods: We analyzed data from 52 prospective studies that included 246,669 participants without a history of cardiovascular disease to investigate the value of adding CRP or fibrinogen levels to conventional risk factors for the prediction of cardiovascular risk. We calculated measures of discrimination and reclassification during follow-up and modeled the clinical implications of initiation of statin therapy after the assessment of CRP or fibrinogen., Results: The addition of information on high-density lipoprotein cholesterol to a prognostic model for cardiovascular disease that included age, sex, smoking status, blood pressure, history of diabetes, and total cholesterol level increased the C-index, a measure of risk discrimination, by 0.0050. The further addition to this model of information on CRP or fibrinogen increased the C-index by 0.0039 and 0.0027, respectively (P<0.001), and yielded a net reclassification improvement of 1.52% and 0.83%, respectively, for the predicted 10-year risk categories of "low" (<10%), "intermediate" (10% to <20%), and "high" (≥20%) (P<0.02 for both comparisons). We estimated that among 100,000 adults 40 years of age or older, 15,025 persons would initially be classified as being at intermediate risk for a cardiovascular event if conventional risk factors alone were used to calculate risk. Assuming that statin therapy would be initiated in accordance with Adult Treatment Panel III guidelines (i.e., for persons with a predicted risk of ≥20% and for those with certain other risk factors, such as diabetes, irrespective of their 10-year predicted risk), additional targeted assessment of CRP or fibrinogen levels in the 13,199 remaining participants at intermediate risk could help prevent approximately 30 additional cardiovascular events over the course of 10 years., Conclusions: In a study of people without known cardiovascular disease, we estimated that under current treatment guidelines, assessment of the CRP or fibrinogen level in people at intermediate risk for a cardiovascular event could help prevent one additional event over a period of 10 years for every 400 to 500 people screened. (Funded by the British Heart Foundation and others.).

Published
2012
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27. Lipid-related markers and cardiovascular disease prediction.

Author

Di Angelantonio E, Gao P, Pennells L, Kaptoge S, Caslake M, Thompson A, Butterworth AS, Sarwar N, Wormser D, Saleheen D, Ballantyne CM, Psaty BM, Sundström J, Ridker PM, Nagel D, Gillum RF, Ford I, Ducimetiere P, Kiechl S, Koenig W, Dullaart RP, Assmann G, D'Agostino RB Sr, Dagenais GR, Cooper JA, Kromhout D, Onat A, Tipping RW, Gómez-de-la-Cámara A, Rosengren A, Sutherland SE, Gallacher J, Fowkes FG, Casiglia E, Hofman A, Salomaa V, Barrett-Connor E, Clarke R, Brunner E, Jukema JW, Simons LA, Sandhu M, Wareham NJ, Khaw KT, Kauhanen J, Salonen JT, Howard WJ, Nordestgaard BG, Wood AM, Thompson SG, Boekholdt SM, Sattar N, Packard C, Gudnason V, and Danesh J

Subjects
Aged, Cholesterol, HDL blood, Cohort Studies, Female, Humans, Male, Middle Aged, Risk Assessment, Biomarkers blood, Cardiovascular Diseases blood, Cardiovascular Diseases epidemiology, Lipoproteins blood
Abstract

Context: The value of assessing various emerging lipid-related markers for prediction of first cardiovascular events is debated., Objective: To determine whether adding information on apolipoprotein B and apolipoprotein A-I, lipoprotein(a), or lipoprotein-associated phospholipase A2 to total cholesterol and high-density lipoprotein cholesterol (HDL-C) improves cardiovascular disease (CVD) risk prediction., Design, Setting, and Participants: Individual records were available for 165,544 participants without baseline CVD in 37 prospective cohorts (calendar years of recruitment: 1968-2007) with up to 15,126 incident fatal or nonfatal CVD outcomes (10,132 CHD and 4994 stroke outcomes) during a median follow-up of 10.4 years (interquartile range, 7.6-14 years)., Main Outcome Measures: Discrimination of CVD outcomes and reclassification of participants across predicted 10-year risk categories of low (<10%), intermediate (10%-<20%), and high (≥20%) risk., Results: The addition of information on various lipid-related markers to total cholesterol, HDL-C, and other conventional risk factors yielded improvement in the model's discrimination: C-index change, 0.0006 (95% CI, 0.0002-0.0009) for the combination of apolipoprotein B and A-I; 0.0016 (95% CI, 0.0009-0.0023) for lipoprotein(a); and 0.0018 (95% CI, 0.0010-0.0026) for lipoprotein-associated phospholipase A2 mass. Net reclassification improvements were less than 1% with the addition of each of these markers to risk scores containing conventional risk factors. We estimated that for 100,000 adults aged 40 years or older, 15,436 would be initially classified at intermediate risk using conventional risk factors alone. Additional testing with a combination of apolipoprotein B and A-I would reclassify 1.1%; lipoprotein(a), 4.1%; and lipoprotein-associated phospholipase A2 mass, 2.7% of people to a 20% or higher predicted CVD risk category and, therefore, in need of statin treatment under Adult Treatment Panel III guidelines., Conclusion: In a study of individuals without known CVD, the addition of information on the combination of apolipoprotein B and A-I, lipoprotein(a), or lipoprotein-associated phospholipase A2 mass to risk scores containing total cholesterol and HDL-C led to slight improvement in CVD prediction.

Published
2012
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