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1. The impact of the COVID-19 pandemic on cardiovascular disease prevention and management

Author

Dale, Caroline E., Takhar, Rohan, Carragher, Raymond, Katsoulis, Michail, Torabi, Fatemeh, Duffield, Stephen, Kent, Seamus, Mueller, Tanja, Kurdi, Amanj, Le Anh, Thu Nguyen, McTaggart, Stuart, Abbasizanjani, Hoda, Hollings, Sam, Scourfield, Andrew, Lyons, Ronan A., Griffiths, Rowena, Lyons, Jane, Davies, Gareth, Harris, Daniel, Handy, Alex, Mizani, Mehrdad A., Tomlinson, Christopher, Thygesen, Johan H., Ashworth, Mark, Denaxas, Spiros, Banerjee, Amitava, Sterne, Jonathan A. C., Brown, Paul, Bullard, Ian, Priedon, Rouven, Mamas, Mamas A., Slee, Ann, Lorgelly, Paula, Pirmohamed, Munir, Khunti, Kamlesh, Morris, Andrew D., Sudlow, Cathie, Akbari, Ashley, Bennie, Marion, Sattar, Naveed, and Sofat, Reecha

Published
2023
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4. Identifying and visualising multimorbidity and comorbidity patterns in patients in the English National Health Service: a population-based study

Author

Alexander, Daniel C, Asiimwe, Innocent G, Ball, Simon, Bennett, Frances, Borges, Maria Carolina, Butterworth, Adam, Chaturvedi, Nishi, Chopade, Sandesh, Clarkson, Christopher, Cox, Martin, Dale, Caroline, Denaxas, Spiros, Dunca, Diana, Engmann, Jorgen E, Fernandez-Sanles, Alba, Finan, Chris, Fitzpatrick, Natalie, Gallagher, Jean, Gonzalez-Izquierdo, Arturo, Gratton, Jasmine, Gross, Christian, Hemingway, Harry, Henry, Albert, Hidajat, Mira, Hingorani, Aroon, Hukerikar, Nikita, Jorgensen, Andrea, Joshi, Roshni, Katsoulis, Michail, Kuan, Valerie, Kumar, Rashmi, Lai, Alvina G, Langenberg, Claudia, Lawlor, Deborah, Mancini, Mary, Miller, Diane, Ogden, Margaret, Ozyigit, Eda B, Patel, Shilpa, Pirmohamed, Munir, Roberts, Amanda, Ryan, David, Schmidt, Amand F, Shah, Anoop D, Shah, Tina, Sofat, Reecha, Takhar, Rohan, Torralbo, Ana, Ullah, Ayath, Walker, Lauren E, Warwick, Alasdair, Wheeler, Eleanor, Wright, Victoria L, Wu, Honghan, Zwierzyna, Magdalena, Patalay, Praveetha, Nitsch, Dorothea, Mathur, Rohini, Partridge, Linda, Wong, Ian C K, Hingorani, Melanie, and Hingorani, Aroon D

Published
2023
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5. GWAS and colocalization analyses implicate carotid intima-media thickness and carotid plaque loci in cardiovascular outcomes.

Author

Franceschini, Nora, Giambartolomei, Claudia, de Vries, Paul S, Finan, Chris, Bis, Joshua C, Huntley, Rachael P, Lovering, Ruth C, Tajuddin, Salman M, Winkler, Thomas W, Graff, Misa, Kavousi, Maryam, Dale, Caroline, Smith, Albert V, Hofer, Edith, van Leeuwen, Elisabeth M, Nolte, Ilja M, Lu, Lingyi, Scholz, Markus, Sargurupremraj, Muralidharan, Pitkänen, Niina, Franzén, Oscar, Joshi, Peter K, Noordam, Raymond, Marioni, Riccardo E, Hwang, Shih-Jen, Musani, Solomon K, Schminke, Ulf, Palmas, Walter, Isaacs, Aaron, Correa, Adolfo, Zonderman, Alan B, Hofman, Albert, Teumer, Alexander, Cox, Amanda J, Uitterlinden, André G, Wong, Andrew, Smit, Andries J, Newman, Anne B, Britton, Annie, Ruusalepp, Arno, Sennblad, Bengt, Hedblad, Bo, Pasaniuc, Bogdan, Penninx, Brenda W, Langefeld, Carl D, Wassel, Christina L, Tzourio, Christophe, Fava, Cristiano, Baldassarre, Damiano, O'Leary, Daniel H, Teupser, Daniel, Kuh, Diana, Tremoli, Elena, Mannarino, Elmo, Grossi, Enzo, Boerwinkle, Eric, Schadt, Eric E, Ingelsson, Erik, Veglia, Fabrizio, Rivadeneira, Fernando, Beutner, Frank, Chauhan, Ganesh, Heiss, Gerardo, Snieder, Harold, Campbell, Harry, Völzke, Henry, Markus, Hugh S, Deary, Ian J, Jukema, J Wouter, de Graaf, Jacqueline, Price, Jacqueline, Pott, Janne, Hopewell, Jemma C, Liang, Jingjing, Thiery, Joachim, Engmann, Jorgen, Gertow, Karl, Rice, Kenneth, Taylor, Kent D, Dhana, Klodian, Kiemeney, Lambertus ALM, Lind, Lars, Raffield, Laura M, Launer, Lenore J, Holdt, Lesca M, Dörr, Marcus, Dichgans, Martin, Traylor, Matthew, Sitzer, Matthias, Kumari, Meena, Kivimaki, Mika, Nalls, Mike A, Melander, Olle, Raitakari, Olli, Franco, Oscar H, Rueda-Ochoa, Oscar L, Roussos, Panos, Whincup, Peter H, Amouyel, Philippe, and Giral, Philippe

Subjects
MEGASTROKE Consortium, Humans, Coronary Disease, Genetic Predisposition to Disease, Amino Acid Oxidoreductases, Protein-Lysine 6-Oxidase, Risk Factors, Lod Score, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Genome-Wide Association Study, Plaque, Atherosclerotic, Carotid Intima-Media Thickness, ADAMTS9 Protein, Plaque, Atherosclerotic, Polymorphism, Single Nucleotide
Abstract

Carotid artery intima media thickness (cIMT) and carotid plaque are measures of subclinical atherosclerosis associated with ischemic stroke and coronary heart disease (CHD). Here, we undertake meta-analyses of genome-wide association studies (GWAS) in 71,128 individuals for cIMT, and 48,434 individuals for carotid plaque traits. We identify eight novel susceptibility loci for cIMT, one independent association at the previously-identified PINX1 locus, and one novel locus for carotid plaque. Colocalization analysis with nearby vascular expression quantitative loci (cis-eQTLs) derived from arterial wall and metabolic tissues obtained from patients with CHD identifies candidate genes at two potentially additional loci, ADAMTS9 and LOXL4. LD score regression reveals significant genetic correlations between cIMT and plaque traits, and both cIMT and plaque with CHD, any stroke subtype and ischemic stroke. Our study provides insights into genes and tissue-specific regulatory mechanisms linking atherosclerosis both to its functional genomic origins and its clinical consequences in humans.

Published
2018

6. COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records

Author

Abbasizanjani, Hoda, Ahmed, Nida, Ahmed, Badar, Akbari, Ashley, Akinoso-Imran, Abdul Qadr, Allara, Elias, Allery, Freya, Angelantonio, Emanuele Di, Ashworth, Mark, Ayyar-Gupta, Vandana, Babu-Narayan, Sonya, Bacon, Seb, Ball, Steve, Banerjee, Ami, Barber, Mark, Barrett, Jessica, Bennie, Marion, Berry, Colin, Beveridge, Jennifer, Birney, Ewan, Bojanić, Lana, Bolton, Thomas, Bone, Anna, Boyle, Jon, Braithwaite, Tasanee, Bray, Ben, Briffa, Norman, Brind, David, Brown, Katherine, Buch, Maya, Canoy, Dexter, Caputo, Massimo, Carragher, Raymond, Carson, Alan, Cezard, Genevieve, Chang, Jen-Yu Amy, Cheema, Kate, Chin, Richard, Chudasama, Yogini, Cooper, Jennifer, Copland, Emma, Crallan, Rebecca, Cripps, Rachel, Cromwell, David, Curcin, Vasa, Curry, Gwenetta, Dale, Caroline, Danesh, John, Das-Munshi, Jayati, Dashtban, Ashkan, Davies, Alun, Davies, Joanna, Davies, Gareth, Davies, Neil, Day, Joshua, Delmestri, Antonella, Denaxas, Spiros, Denholm, Rachel, Dennis, John, Denniston, Alastair, Deo, Salil, Dhillon, Baljean, Docherty, Annemarie, Dong, Tim, Douiri, Abdel, Downs, Johnny, Dregan, Alexandru, Ellins, Elizabeth A, Elwenspoek, Martha, Falck, Fabian, Falter, Florian, Fan, Yat Yi, Firth, Joseph, Fraser, Lorna, Friebel, Rocco, Gavrieli, Amir, Gerstung, Moritz, Gilbert, Ruth, Gillies, Clare, Glickman, Myer, Goldacre, Ben, Goldacre, Raph, Greaves, Felix, Green, Mark, Grieco, Luca, Griffiths, Rowena, Gurdasani, Deepti, Halcox, Julian, Hall, Nick, Hama, Tuankasfee, Handy, Alex, Hansell, Anna, Hardelid, Pia, Hardy, Flavien, Harris, Daniel, Harrison, Camille, Harron, Katie, Hassaine, Abdelaali, Hassan, Lamiece, Healey, Russell, Hemingway, Harry, Henderson, Angela, Herz, Naomi, Heyl, Johannes, Hidajat, Mira, Higginson, Irene, Hinchliffe, Rosie, Hippisley-Cox, Julia, Ho, Frederick, Hocaoglu, Mevhibe, Hollings, Sam, Horne, Elsie, Hughes, David, Humberstone, Ben, Inouye, Mike, Ip, Samantha, Islam, Nazrul, Jackson, Caroline, Jenkins, David, Jiang, Xiyun, Johnson, Shane, Kadam, Umesh, Kallis, Costas, Karim, Zainab, Kasan, Jake, Katsoulis, Michalis, Kavanagh, Kim, Kee, Frank, Keene, Spencer, Kent, Seamus, Khalid, Sara, Khawaja, Anthony, Khunti, Kamlesh, Killick, Richard, Kinnear, Deborah, Knight, Rochelle, Kolamunnage-Dona, Ruwanthi, Kontopantelis, Evan, Kurdi, Amanj, Lacey, Ben, Lai, Alvina, Lambarth, Andrew, Larzjan, Milad Nazarzadeh, Lawler, Deborah, Lawrence, Thomas, Lawson, Claire, Li, Qiuju, Li, Ken, Llinares, Miguel Bernabeu, Lorgelly, Paula, Lowe, Deborah, Lyons, Jane, Lyons, Ronan, Machado, Pedro, Macleod, Mary Joan, Macleod, John, Malgapo, Evaleen, Mamas, Mamas, Mamouei, Mohammad, Manohar, Sinduja, Mapeta, Rutendo, Martelli, Javiera Leniz, Martos, David Moreno, Mateen, Bilal, McCarthy, Aoife, Melville, Craig, Milton, Rebecca, Mizani, Mehrdad, Moncusi, Marta Pineda, Morales, Daniel, Mordi, Ify, Morrice, Lynn, Morris, Carole, Morris, Eva, Mu, Yi, Mueller, Tanja, Murdock, Lars, Nafilyan, Vahé, Nicholson, George, Nikiphorou, Elena, Nolan, John, Norris, Tom, Norris, Ruth, North, Laura, North, Teri-Louise, O'Connell, Dan, Oliver, Dominic, Oluyase, Adejoke, Olvera-Barrios, Abraham, Omigie, Efosa, Onida, Sarah, Padmanabhan, Sandosh, Palmer, Tom, Pasea, Laura, Patel, Riyaz, Payne, Rupert, Pell, Jill, Petitjean, Carmen, Pherwani, Arun, Pickrell, Owen, Pierotti, Livia, Pirmohamed, Munir, Priedon, Rouven, Prieto-Alhambra, Dani, Proudfoot, Alastair, Quinn, Terry, Quint, Jennifer, Raffetti, Elena, Rahimi, Kazem, Rao, Shishir, Razieh, Cameron, Roberts, Brian, Rogers, Caroline, Rossdale, Jennifer, Salim, Safa, Samani, Nilesh, Sattar, Naveed, Schnier, Christian, Schwartz, Roy, Selby, David, Seminog, Olena, Shabnam, Sharmin, Shah, Ajay, Shelton, Jon, Sheppard, James, Sinha, Shubhra, Skrypak, Mirek, Slapkova, Martina, Sleeman, Katherine, Smith, Craig, Sofat, Reecha, Sosenko, Filip, Sperrin, Matthew, Steeg, Sarah, Sterne, Jonathan, Stoica, Serban, Sudell, Maria, Sudlow, Cathie, Sun, Luanluan, Suseeladevi, Arun Karthikeyan, Sweeting, Michael, Sydes, Matt, Takhar, Rohan, Tang, Howard, Thygesen, Johan, Tilston, George, Tochel, Claire, Toit, Clea du, Tomlinson, Christopher, Toms, Renin, Torabi, Fatemeh, Torralbo, Ana, Townson, Julia, Tufail, Adnan, Tungamirai, Tapiwa, Varma, Susheel, Vollmer, Sebastian, Walker, Venexia, Wang, Tianxiao, Wang, Huan, Warwick, Alasdair, Watkinson, Ruth, Watson, Harry, Whiteley, William, Whittaker, Hannah, Wilde, Harry, Wilkinson, Tim, Williams, Gareth, Williams, Michelle, Williams, Richard, Withnell, Eloise, Wolfe, Charles, Wood, Angela, Wright, Lucy, Wu, Honghan, Wu, Jinge, Wu, Jianhua, Yates, Tom, Zaccardi, Francesco, Zhang, Haoting, Zhang, Huayu, Zuccolo, Luisa, Thygesen, Johan H, Mizani, Mehrdad A, Banerjee, Amitava, Lai, Alvina G, Li, Kezhi, Mateen, Bilal A, Sterne, Jonathan A C, Pagel, Christina, and Whiteley, William N

Published
2022
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7. The Daily Express, family & the Second World War, 1939-1945

Author

Dale, Caroline and Nicholas, Sian

Subjects
072.1
Abstract

On the 15th June 1940, Sir Walter Monckton, the then head of the wartime Press and Censorship Bureau, wrote to the Director of the Ministry of Information’s (MOI) film division, Sir Kenneth Clark, stating “However widely we distribute our [government] material, it cannot compete with [the impact] of newspaper articles”.1 Another official from the Ministry of Health (MOH), Sir Thomas Fife Clarke, wrote about evacuation on the 7th May 1941 that, Throughout the war we have had the consistent support from the press. Indeed, had it not been for the steady and even enthusiastic co-operation of the press, we could not have done anything like as much as has been done.2 These letters demonstrated how important the press was deemed to be in British society during the Second World War, in the dissemination of news and ideas, and in its support of government led initiatives, such as evacuation. There is, however, rather surprisingly, no detailed in-depth study of the British press during the Second World War, and the important role it played in British society. This thesis is designed to explore the popular press in the Second World War, and in particular the most widely read of the popular newspapers, the Daily Express. In doing so, this thesis will investigate the ways in which the Daily Express adapted to wartime conditions and the ways it represented particular themes and images during those years, most particularly the image of the family in wartime.

Published
2016

9. Genome-wide meta-analysis uncovers novel loci influencing circulating leptin levels.

Author

Kilpeläinen, Tuomas O, Carli, Jayne F Martin, Skowronski, Alicja A, Sun, Qi, Kriebel, Jennifer, Feitosa, Mary F, Hedman, Åsa K, Drong, Alexander W, Hayes, James E, Zhao, Jinghua, Pers, Tune H, Schick, Ursula, Grarup, Niels, Kutalik, Zoltán, Trompet, Stella, Mangino, Massimo, Kristiansson, Kati, Beekman, Marian, Lyytikäinen, Leo-Pekka, Eriksson, Joel, Henneman, Peter, Lahti, Jari, Tanaka, Toshiko, Luan, Jian'an, Del Greco M, Fabiola, Pasko, Dorota, Renström, Frida, Willems, Sara M, Mahajan, Anubha, Rose, Lynda M, Guo, Xiuqing, Liu, Yongmei, Kleber, Marcus E, Pérusse, Louis, Gaunt, Tom, Ahluwalia, Tarunveer S, Ju Sung, Yun, Ramos, Yolande F, Amin, Najaf, Amuzu, Antoinette, Barroso, Inês, Bellis, Claire, Blangero, John, Buckley, Brendan M, Böhringer, Stefan, I Chen, Yii-Der, de Craen, Anton JN, Crosslin, David R, Dale, Caroline E, Dastani, Zari, Day, Felix R, Deelen, Joris, Delgado, Graciela E, Demirkan, Ayse, Finucane, Francis M, Ford, Ian, Garcia, Melissa E, Gieger, Christian, Gustafsson, Stefan, Hallmans, Göran, Hankinson, Susan E, Havulinna, Aki S, Herder, Christian, Hernandez, Dena, Hicks, Andrew A, Hunter, David J, Illig, Thomas, Ingelsson, Erik, Ioan-Facsinay, Andreea, Jansson, John-Olov, Jenny, Nancy S, Jørgensen, Marit E, Jørgensen, Torben, Karlsson, Magnus, Koenig, Wolfgang, Kraft, Peter, Kwekkeboom, Joanneke, Laatikainen, Tiina, Ladwig, Karl-Heinz, LeDuc, Charles A, Lowe, Gordon, Lu, Yingchang, Marques-Vidal, Pedro, Meisinger, Christa, Menni, Cristina, Morris, Andrew P, Myers, Richard H, Männistö, Satu, Nalls, Mike A, Paternoster, Lavinia, Peters, Annette, Pradhan, Aruna D, Rankinen, Tuomo, Rasmussen-Torvik, Laura J, Rathmann, Wolfgang, Rice, Treva K, Brent Richards, J, Ridker, Paul M, Sattar, Naveed, and Savage, David B

Subjects
Adipose Tissue, Animals, Mice, Leptin, RNA, Messenger, Tissue Culture Techniques, Gene Expression Regulation, Male, Genome-Wide Association Study, Gene Knockdown Techniques, RNA, Messenger
Abstract

Leptin is an adipocyte-secreted hormone, the circulating levels of which correlate closely with overall adiposity. Although rare mutations in the leptin (LEP) gene are well known to cause leptin deficiency and severe obesity, no common loci regulating circulating leptin levels have been uncovered. Therefore, we performed a genome-wide association study (GWAS) of circulating leptin levels from 32,161 individuals and followed up loci reaching P

Published
2016

10. Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data.

Author

Holmes, Michael V, Dale, Caroline E, Zuccolo, Luisa, Silverwood, Richard J, Guo, Yiran, Ye, Zheng, Prieto-Merino, David, Dehghan, Abbas, Trompet, Stella, Wong, Andrew, Cavadino, Alana, Drogan, Dagmar, Padmanabhan, Sandosh, Li, Shanshan, Yesupriya, Ajay, Leusink, Maarten, Sundstrom, Johan, Hubacek, Jaroslav A, Pikhart, Hynek, Swerdlow, Daniel I, Panayiotou, Andrie G, Borinskaya, Svetlana A, Finan, Chris, Shah, Sonia, Kuchenbaecker, Karoline B, Shah, Tina, Engmann, Jorgen, Folkersen, Lasse, Eriksson, Per, Ricceri, Fulvio, Melander, Olle, Sacerdote, Carlotta, Gamble, Dale M, Rayaprolu, Sruti, Ross, Owen A, McLachlan, Stela, Vikhireva, Olga, Sluijs, Ivonne, Scott, Robert A, Adamkova, Vera, Flicker, Leon, Bockxmeer, Frank M van, Power, Christine, Marques-Vidal, Pedro, Meade, Tom, Marmot, Michael G, Ferro, Jose M, Paulos-Pinheiro, Sofia, Humphries, Steve E, Talmud, Philippa J, Mateo Leach, Irene, Verweij, Niek, Linneberg, Allan, Skaaby, Tea, Doevendans, Pieter A, Cramer, Maarten J, van der Harst, Pim, Klungel, Olaf H, Dowling, Nicole F, Dominiczak, Anna F, Kumari, Meena, Nicolaides, Andrew N, Weikert, Cornelia, Boeing, Heiner, Ebrahim, Shah, Gaunt, Tom R, Price, Jackie F, Lannfelt, Lars, Peasey, Anne, Kubinova, Ruzena, Pajak, Andrzej, Malyutina, Sofia, Voevoda, Mikhail I, Tamosiunas, Abdonas, Maitland-van der Zee, Anke H, Norman, Paul E, Hankey, Graeme J, Bergmann, Manuela M, Hofman, Albert, Franco, Oscar H, Cooper, Jackie, Palmen, Jutta, Spiering, Wilko, de Jong, Pim A, Kuh, Diana, Hardy, Rebecca, Uitterlinden, Andre G, Ikram, M Arfan, Ford, Ian, Hyppönen, Elina, Almeida, Osvaldo P, Wareham, Nicholas J, Khaw, Kay-Tee, Hamsten, Anders, Husemoen, Lise Lotte N, Tjønneland, Anne, Tolstrup, Janne S, Rimm, Eric, Beulens, Joline WJ, and Verschuren, WM Monique

Subjects
InterAct Consortium, Humans, Coronary Disease, Alcohol Dehydrogenase, Genetic Markers, Models, Statistical, Alcohol Drinking, Genotype, Polymorphism, Single Nucleotide, Adult, Aged, Middle Aged, Female, Male, Stroke, Mendelian Randomization Analysis, Biomarkers, General & Internal Medicine, Clinical Sciences, Public Health and Health Services
Abstract

ObjectiveTo use the rs1229984 variant in the alcohol dehydrogenase 1B gene (ADH1B) as an instrument to investigate the causal role of alcohol in cardiovascular disease.DesignMendelian randomisation meta-analysis of 56 epidemiological studies.Participants261 991 individuals of European descent, including 20 259 coronary heart disease cases and 10 164 stroke events. Data were available on ADH1B rs1229984 variant, alcohol phenotypes, and cardiovascular biomarkers.Main outcome measuresOdds ratio for coronary heart disease and stroke associated with the ADH1B variant in all individuals and by categories of alcohol consumption.ResultsCarriers of the A-allele of ADH1B rs1229984 consumed 17.2% fewer units of alcohol per week (95% confidence interval 15.6% to 18.9%), had a lower prevalence of binge drinking (odds ratio 0.78 (95% CI 0.73 to 0.84)), and had higher abstention (odds ratio 1.27 (1.21 to 1.34)) than non-carriers. Rs1229984 A-allele carriers had lower systolic blood pressure (-0.88 (-1.19 to -0.56) mm Hg), interleukin-6 levels (-5.2% (-7.8 to -2.4%)), waist circumference (-0.3 (-0.6 to -0.1) cm), and body mass index (-0.17 (-0.24 to -0.10) kg/m(2)). Rs1229984 A-allele carriers had lower odds of coronary heart disease (odds ratio 0.90 (0.84 to 0.96)). The protective association of the ADH1B rs1229984 A-allele variant remained the same across all categories of alcohol consumption (P=0.83 for heterogeneity). Although no association of rs1229984 was identified with the combined subtypes of stroke, carriers of the A-allele had lower odds of ischaemic stroke (odds ratio 0.83 (0.72 to 0.95)).ConclusionsIndividuals with a genetic variant associated with non-drinking and lower alcohol consumption had a more favourable cardiovascular profile and a reduced risk of coronary heart disease than those without the genetic variant. This suggests that reduction of alcohol consumption, even for light to moderate drinkers, is beneficial for cardiovascular health.

Published
2014

15. Antipsychotic drug prescribing and mortality in people with dementia before and during the COVID-19 pandemic: a retrospective cohort study in Wales, UK

Author

Schnier, Christian, primary, McCarthy, Aoife, additional, Morales, Daniel R, additional, Akbari, Ashley, additional, Sofat, Reecha, additional, Dale, Caroline, additional, Takhar, Rohan, additional, Mamas, Mamas A, additional, Khunti, Kamlesh, additional, Zaccardi, Francesco, additional, Sudlow, Cathie LM, additional, and Wilkinson, Tim, additional

Published
2023
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16. 'A good decision is the one that feels right for me': Codesign with patients to inform theoretical underpinning of a decision aid website.

Author

Kohut, Kelly, Morton, Kate, Hurley, Karen, Turner, Lesley, Dale, Caroline, Eastbrook, Susan, Gold, Rochelle, Henwood, Kate, Patton, Sonia, Punjabi, Reshma, White, Helen, Young, Charlene, Young, Julie, Bancroft, Elizabeth, Barnett, Lily, Cable, Sarah, Connolly, Gaya, Coad, Beth, Forman, Andrea, and Hanson, Helen

Subjects
DECISION making, RESEARCH funding, WORLD Wide Web
Abstract

Introduction: Patient decision aids (PtDA) complement shared decision‐making with healthcare professionals and improve decision quality. However, PtDA often lack theoretical underpinning. We are codesigning a PtDA to help people with increased genetic cancer risks manage choices. The aim of an innovative workshop described here was to engage with the people who will use the PtDA regarding the theoretical underpinning and logic model outlining our hypothesis of how the PtDA would lead to more informed decision‐making. Methods: Short presentations about psychological and behavioural theories by an expert were interspersed with facilitated, small‐group discussions led by patients. Patients were asked what is important to them when they make health decisions, what theoretical constructs are most meaningful and how this should be applied to codesign of a PtDA. An artist created a visual summary. Notes from patient discussions and the artwork were analysed using reflexive thematic analysis. Results: The overarching theme was: It's personal. Contextual factors important for decision‐making were varied and changed over time. There was no one 'best fit' theory to target support needs in a PtDA, suggesting an inductive, flexible framework approach to programme theory would be most effective. The PtDA logic model was revised based on patient feedback. Conclusion: Meaningful codesign of PtDA including discussions about the theoretical mechanisms through which they support decision‐making has the potential to lead to improved patient care through understanding the intricately personal nature of health decisions, and tailoring content and format for holistic care. Patient Contribution: Patients with lived experience were involved in codesign and coproduction of this workshop and analysis as partners and coauthors. Patient discussions were the primary data source. Facilitators provided a semi‐structured guide, but they did not influence the patient discussions or provide clinical advice. The premise of this workshop was to prioritise the importance of patient lived experience: to listen, learn, then reflect together to understand and propose ideas to improve patient care through codesign of a PtDA. [ABSTRACT FROM AUTHOR]

Published
2024
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17. SCORE2-Diabetes: 10-year cardiovascular risk estimation in type 2 diabetes in Europe

Author

Interne Geneeskunde Vasculaire, MS Interne Geneeskunde, Circulatory Health, Pennells, Lisa, Kaptoge, Stephen, Østergaard, Helena Bleken, Read, Stephanie H., Carinci, Fabrizio, Franch-Nadal, Josep, Petitjean, Carmen, Taylor, Owen, Hageman, Steven H.J., Xu, Zhe, Shi, Fanchao, Spackman, Sarah, Gualdi, Stefano, Holman, Naomi, Da Providencia E Costa, Rui Bebiano, Bonnet, Fabrice, Brenner, Hermann, Gillum, Richard F., Kiechl, Stefan, Lawlor, Deborah A., Potier, Louis, Schöttker, Ben, Sofat, Reecha, Völzke, Henry, Willeit, Johann, Baltane, Zane, Fava, Stephen, Janos, Sandor, Lavens, Astrid, Pildava, Santa, Poljicanin, Tamara, Pristas, Ivan, Rossing, Peter, Sascha, Reiff, Scheidt-Nave, Christa, Stotl, Iztok, Tibor, Gail, Urbančič-Rovan, Vilma, Vanherwegen, An Sofie, Vistisen, Dorte, Du, Yong, Walker, Matthew R., Willeit, Peter, Ference, Brian, De Bacquer, Dirk, Halle, Martin, Huculeci, Radu, Mcevoy, John William, Timmis, Adam, Vardas, Panagiotis, Dorresteijn, Jannick A.N., Graham, Ian, Wood, Angela, Eliasson, Björn, Herrington, William, Danesh, John, Mauricio, Dídac, Benedetti, Massimo Massi, Sattar, Naveed, Visseren, Frank L.J., Wild, Sarah, Di Angelantonio, Emanuele, Balkau, Beverley, Fumeron, Frederic, Stocker, Hannah, Holleczek, Bernd, Schipf, Sabine, Schmidt, Carsten Oliver, Dörr, Marcus, Tilg, Herbert, Leitner, Christoph, Notdurfter, Marlene, Taylor, Julie, Dale, Caroline, Prieto-Merino, David, Buble, Tamara, Ivanko, Pero, Carstensen, Bendix, Heidemann, Christin, Lepiksone, Jana, Magri, Caroline J., Azzopardi, Joseph, Real, Jordi, Vlacho, Bogdan, Mata-Cases, Manel, Interne Geneeskunde Vasculaire, MS Interne Geneeskunde, Circulatory Health, Pennells, Lisa, Kaptoge, Stephen, Østergaard, Helena Bleken, Read, Stephanie H., Carinci, Fabrizio, Franch-Nadal, Josep, Petitjean, Carmen, Taylor, Owen, Hageman, Steven H.J., Xu, Zhe, Shi, Fanchao, Spackman, Sarah, Gualdi, Stefano, Holman, Naomi, Da Providencia E Costa, Rui Bebiano, Bonnet, Fabrice, Brenner, Hermann, Gillum, Richard F., Kiechl, Stefan, Lawlor, Deborah A., Potier, Louis, Schöttker, Ben, Sofat, Reecha, Völzke, Henry, Willeit, Johann, Baltane, Zane, Fava, Stephen, Janos, Sandor, Lavens, Astrid, Pildava, Santa, Poljicanin, Tamara, Pristas, Ivan, Rossing, Peter, Sascha, Reiff, Scheidt-Nave, Christa, Stotl, Iztok, Tibor, Gail, Urbančič-Rovan, Vilma, Vanherwegen, An Sofie, Vistisen, Dorte, Du, Yong, Walker, Matthew R., Willeit, Peter, Ference, Brian, De Bacquer, Dirk, Halle, Martin, Huculeci, Radu, Mcevoy, John William, Timmis, Adam, Vardas, Panagiotis, Dorresteijn, Jannick A.N., Graham, Ian, Wood, Angela, Eliasson, Björn, Herrington, William, Danesh, John, Mauricio, Dídac, Benedetti, Massimo Massi, Sattar, Naveed, Visseren, Frank L.J., Wild, Sarah, Di Angelantonio, Emanuele, Balkau, Beverley, Fumeron, Frederic, Stocker, Hannah, Holleczek, Bernd, Schipf, Sabine, Schmidt, Carsten Oliver, Dörr, Marcus, Tilg, Herbert, Leitner, Christoph, Notdurfter, Marlene, Taylor, Julie, Dale, Caroline, Prieto-Merino, David, Buble, Tamara, Ivanko, Pero, Carstensen, Bendix, Heidemann, Christin, Lepiksone, Jana, Magri, Caroline J., Azzopardi, Joseph, Real, Jordi, Vlacho, Bogdan, and Mata-Cases, Manel

Published
2023

19. Plasma urate concentration and risk of coronary heart disease: a Mendelian randomisation analysis

Author

White, Jon, Sofat, Reecha, Hemani, Gibran, Shah, Tina, Engmann, Jorgen, Dale, Caroline, Shah, Sonia, Kruger, Felix A, Giambartolomei, Claudia, Swerdlow, Daniel I, Palmer, Tom, McLachlan, Stela, Langenberg, Claudia, Zabaneh, Delilah, Lovering, Ruth, Cavadino, Alana, Jefferis, Barbara, Finan, Chris, Wong, Andrew, Amuzu, Antoinette, Ong, Ken, Gaunt, Tom R, Warren, Helen, Davies, Teri-Louise, Drenos, Fotios, Cooper, Jackie, Ebrahim, Shah, Lawlor, Debbie A, Talmud, Philippa J, Humphries, Steve E, Power, Christine, Hypponen, Elina, Richards, Marcus, Hardy, Rebecca, Kuh, Diana, Wareham, Nicholas, Ben-Shlomo, Yoav, Day, Ian N, Whincup, Peter, Morris, Richard, Strachan, Mark W J, Price, Jacqueline, Kumari, Meena, Kivimaki, Mika, Plagnol, Vincent, Whittaker, John C, Smith, George Davey, Dudbridge, Frank, Casas, Juan P, Holmes, Michael V, and Hingorani, Aroon D

Published
2016
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20. Antipsychotic prescribing and mortality in people with dementia before and during the COVID-19 pandemic: retrospective cohort study

Author

Schnier, Christian, primary, McCarthy, Aoife, additional, Morales, Daniel R, additional, Akbari, Ashley, additional, Sofat, Reecha, additional, Dale, Caroline, additional, Takhar, Rohan, additional, Mamas, Mamas A., additional, Khunti, Kamlesh, additional, Zaccardi, Francesco, additional, Sudlow, Cathie LM, additional, and Wilkinson, Tim, additional

Published
2023
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21. Use of Sodium Valproate and Other Anti-Seizure Medications in England and Wales During the COVID-19 Pandemic: A Population-Level Analysis of 60 Million Individuals

Author

Dale, Caroline, primary, Takhar, Rohan, additional, Fan, Yat Yi, additional, Torabi, Fatemeh, additional, Kim, Samuel, additional, Lambarth, Andrew, additional, Shankar, Ravi, additional, Tomlinson, Christopher, additional, Wilkinson, Tim, additional, Mueller, Tanja, additional, Kurdi, Amanj, additional, Ashworth, Mark, additional, Mamas, Mamas, additional, Khunti, Kamlesh, additional, Akbari, Ashley, additional, Morris, Andrew, additional, Pirmohamed, Munir, additional, Marson, Anthony, additional, Williams, David, additional, Sudlow, Cathie, additional, Sofat, Reecha, additional, and Consortium, CVD-COVID-UK, additional

Published
2023
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22. Identifying and visualising multimorbidity and comorbidity patterns in patients in the English National Health Service: a population-based study

Author

Kuan, Valerie, primary, Denaxas, Spiros, additional, Patalay, Praveetha, additional, Nitsch, Dorothea, additional, Mathur, Rohini, additional, Gonzalez-Izquierdo, Arturo, additional, Sofat, Reecha, additional, Partridge, Linda, additional, Roberts, Amanda, additional, Wong, Ian C K, additional, Hingorani, Melanie, additional, Chaturvedi, Nishi, additional, Hemingway, Harry, additional, Hingorani, Aroon D, additional, Alexander, Daniel C, additional, Asiimwe, Innocent G, additional, Ball, Simon, additional, Bennett, Frances, additional, Borges, Maria Carolina, additional, Butterworth, Adam, additional, Chopade, Sandesh, additional, Clarkson, Christopher, additional, Cox, Martin, additional, Dale, Caroline, additional, Dunca, Diana, additional, Engmann, Jorgen E, additional, Fernandez-Sanles, Alba, additional, Finan, Chris, additional, Fitzpatrick, Natalie, additional, Gallagher, Jean, additional, Gratton, Jasmine, additional, Gross, Christian, additional, Henry, Albert, additional, Hidajat, Mira, additional, Hingorani, Aroon, additional, Hukerikar, Nikita, additional, Jorgensen, Andrea, additional, Joshi, Roshni, additional, Katsoulis, Michail, additional, Kuan, Valerie, additional, Kumar, Rashmi, additional, Lai, Alvina G, additional, Langenberg, Claudia, additional, Lawlor, Deborah, additional, Mancini, Mary, additional, Miller, Diane, additional, Ogden, Margaret, additional, Ozyigit, Eda B, additional, Patel, Shilpa, additional, Pirmohamed, Munir, additional, Ryan, David, additional, Schmidt, Amand F, additional, Shah, Anoop D, additional, Shah, Tina, additional, Takhar, Rohan, additional, Torralbo, Ana, additional, Ullah, Ayath, additional, Walker, Lauren E, additional, Warwick, Alasdair, additional, Wheeler, Eleanor, additional, Wright, Victoria L, additional, Wu, Honghan, additional, and Zwierzyna, Magdalena, additional

Published
2023
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23. HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials

Author

Swerdlow, Daniel I, Preiss, David, Kuchenbaecker, Karoline B, Holmes, Michael V, Engmann, Jorgen E L, Shah, Tina, Sofat, Reecha, Stender, Stefan, Johnson, Paul C D, Scott, Robert A, Leusink, Maarten, Verweij, Niek, Sharp, Stephen J, Guo, Yiran, Giambartolomei, Claudia, Chung, Christina, Peasey, Anne, Amuzu, Antoinette, Li, KaWah, Palmen, Jutta, Howard, Philip, Cooper, Jackie A, Drenos, Fotios, Li, Yun R, Lowe, Gordon, Gallacher, John, Stewart, Marlene C W, Tzoulaki, Ioanna, Buxbaum, Sarah G, van der A, Daphne L, Forouhi, Nita G, Onland-Moret, N Charlotte, van der Schouw, Yvonne T, Schnabel, Renate B, Hubacek, Jaroslav A, Kubinova, Ruzena, Baceviciene, Migle, Tamosiunas, Abdonas, Pajak, Andrzej, Topor-Madry, Romanvan, Stepaniak, Urszula, Malyutina, Sofia, Baldassarre, Damiano, Sennblad, Bengt, Tremoli, Elena, de Faire, Ulf, Veglia, Fabrizio, Ford, Ian, Jukema, J Wouter, Westendorp, Rudi G J, de Borst, Gert Jan, de Jong, Pim A, Algra, Ale, Spiering, Wilko, der Zee, Anke H Maitland-van, Klungel, Olaf H, de Boer, Anthonius, Doevendans, Pieter A, Eaton, Charles B, Robinson, Jennifer G, Duggan, David, Kjekshus, John, Downs, John R, Gotto, Antonio M, Keech, Anthony C, Marchioli, Roberto, Tognoni, Gianni, Sever, Peter S, Poulter, Neil R, Waters, David D, Pedersen, Terje R, Amarenco, Pierre, Nakamura, Haruo, McMurray, John J V, Lewsey, James D, Chasman, Daniel I, Ridker, Paul M, Maggioni, Aldo P, Tavazzi, Luigi, Ray, Kausik K, Seshasai, Sreenivasa Rao Kondapally, Manson, JoAnn E, Price, Jackie F, Whincup, Peter H, Morris, Richard W, Lawlor, Debbie A, Smith, George Davey, Ben-Shlomo, Yoav, Schreiner, Pamela J, Fornage, Myriam, Siscovick, David S, Cushman, Mary, Kumari, Meena, Wareham, Nick J, Verschuren, W M Monique, Redline, Susan, Patel, Sanjay R, Whittaker, John C, Hamsten, Anders, Delaney, Joseph A, Dale, Caroline, Gaunt, Tom R, Wong, Andrew, Kuh, Diana, Hardy, Rebecca, Kathiresan, Sekar, Castillo, Berta A, van der Harst, Pim, Brunner, Eric J, Tybjaerg-Hansen, Anne, Marmot, Michael G, Krauss, Ronald M, Tsai, Michael, Coresh, Josef, Hoogeveen, Ronald C, Psaty, Bruce M, Lange, Leslie A, Hakonarson, Hakon, Dudbridge, Frank, Humphries, Steve E, Talmud, Philippa J, Kivimäki, Mika, Timpson, Nicholas J, Langenberg, Claudia, Asselbergs, Folkert W, Voevoda, Mikhail, Bobak, Martin, Pikhart, Hynek, Wilson, James G, Reiner, Alex P, Keating, Brendan J, Hingorani, Aroon D, and Sattar, Naveed

Published
2015
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24. The impact of the COVID-19 pandemic on cardiovascular disease prevention and management

Author

Dale, Caroline E, Takhar, Rohan, Carragher, Raymond, Katsoulis, Michail, Torabi, Fatemeh, Duffield, Stephen, Kent, Seamus, Mueller, Tanja, Kurdi, Amanj, Le Anh, Thu Nguyen, McTaggart, Stuart, Abbasizanjani, Hoda, Hollings, Sam, Scourfield, Andrew, Lyons, Ronan A, Griffiths, Rowena, Lyons, Jane, Davies, Gareth, Harris, Daniel, Handy, Alex, Mizani, Mehrdad A, Tomlinson, Christopher, Thygesen, Johan H, Ashworth, Mark, Denaxas, Spiros, Banerjee, Amitava, Sterne, Jonathan A C, Brown, Paul, Bullard, Ian, Priedon, Rouven, Mamas, Mamas A, Slee, Ann, Lorgelly, Paula, Pirmohamed, Munir, Khunti, Kamlesh, Morris, Andrew D, Sudlow, Cathie, Akbari, Ashley, Bennie, Marion, Sattar, Naveed, and Sofat, Reecha

Subjects
Cardiovascular Diseases - epidemiology - prevention & control - diagnosis, Pandemics - prevention & control, SDG 3 - Good Health and Well-being, Risk Factors, Hypertension - complications - drug therapy - epidemiology, COVID-19 - epidemiology, Humans, General Medicine, Diabetes Mellitus, Type 2 - complications - drug therapy - epidemiology, General Biochemistry, Genetics and Molecular Biology
Abstract

How the Coronavirus Disease 2019 (COVID-19) pandemic has affected prevention and management of cardiovascular disease (CVD) is not fully understood. In this study, we used medication data as a proxy for CVD management using routinely collected, de-identified, individual-level data comprising 1.32 billion records of community-dispensed CVD medications from England, Scotland and Wales between April 2018 and July 2021. Here we describe monthly counts of prevalent and incident medications dispensed, as well as percentage changes compared to the previous year, for several CVD-related indications, focusing on hypertension, hypercholesterolemia and diabetes. We observed a decline in the dispensing of antihypertensive medications between March 2020 and July 2021, with 491,306 fewer individuals initiating treatment than expected. This decline was predicted to result in 13,662 additional CVD events, including 2,281 cases of myocardial infarction and 3,474 cases of stroke, should individuals remain untreated over their lifecourse. Incident use of lipid-lowering medications decreased by 16,744 patients per month during the first half of 2021 as compared to 2019. By contrast, incident use of medications to treat type 2 diabetes mellitus, other than insulin, increased by approximately 623 patients per month for the same time period. In light of these results, methods to identify and treat individuals who have missed treatment for CVD risk factors and remain undiagnosed are urgently required to avoid large numbers of excess future CVD events, an indirect impact of the COVID-19 pandemic.

Published
2023

25. Association between alcohol and cardiovascular disease : Mendelian randomisation analysis based on individual participant data

Author

IMPROVE study group, The InterAct Consortium, Holmes, Michael V, Dale, Caroline E, Zuccolo, Luisa, Silverwood, Richard J, Guo, Yiran, Ye, Zheng, Prieto-Merino, David, Dehghan, Abbas, Trompet, Stella, Wong, Andrew, Cavadino, Alana, Drogan, Dagmar, Padmanabhan, Sandosh, Li, Shanshan, Yesupriya, Ajay, Leusink, Maarten, Sundstrom, Johan, Hubacek, Jaroslav A, Pikhart, Hynek, Swerdlow, Daniel I, Panayiotou, Andrie G, Borinskaya, Svetlana A, Finan, Chris, Shah, Sonia, Kuchenbaecker, Karoline B, Shah, Tina, Engmann, Jorgen, Folkersen, Lasse, Eriksson, Per, Ricceri, Fulvio, Melander, Olle, Sacerdote, Carlotta, Gamble, Dale M, Rayaprolu, Sruti, Ross, Owen A, McLachlan, Stela, Vikhireva, Olga, Sluijs, Ivonne, Scott, Robert A, Adamkova, Vera, Flicker, Leon, van Bockxmeer, Frank M, Power, Christine, Marques-Vidal, Pedro, Meade, Tom, Marmot, Michael G, Ferro, Jose M, Paulos-Pinheiro, Sofia, Humphries, Steve E, Talmud, Philippa J, Leach, Irene Mateo, Verweij, Niek, Linneberg, Allan, Skaaby, Tea, Doevendans, Pieter A, Cramer, Maarten J, van der Harst, Pim, Klungel, Olaf H, Dowling, Nicole F, Dominiczak, Anna F, Kumari, Meena, Nicolaides, Andrew N, Weikert, Cornelia, Boeing, Heiner, Ebrahim, Shah, Gaunt, Tom R, Price, Jackie F, Lannfelt, Lars, Peasey, Anne, Kubinova, Ruzena, Pajak, Andrzej, Malyutina, Sofia, Voevoda, Mikhail I, Tamosiunas, Abdonas, Maitland-vanderZee, Anke H, Norman, Paul E, Hankey, Graeme J, Bergmann, Manuela M, Hofman, Albert, Franco, Oscar H, Cooper, Jackie, Palmen, Jutta, Spiering, Wilko, de Jong, Pim A, Kuh, Diana, Hardy, Rebecca, Uitterlinden, Andre G, Ikram, M Arfan, Ford, Ian, Hyppönen, Elina, Almeida, Osvaldo P, Wareham, Nicholas J, Khaw, Kay-Tee, Hamsten, Anders, Husemoen, Lise Lotte N, Tjønneland, Anne, Tolstrup, Janne S, Rimm, Eric, Beulens, Joline W J, Verschuren, W M Monique, Onland-Moret, N Charlotte, Hofker, Marten H, Wannamethee, S Goya, Whincup, Peter H, Morris, Richard, Vicente, Astrid M, Watkins, Hugh, Farrall, Martin, Jukema, J Wouter, Meschia, James, Cupples, L Adrienne, Sharp, Stephen J, Fornage, Myriam, Kooperberg, Charles, LaCroix, Andrea Z, Dai, James Y, Lanktree, Matthew B, Siscovick, David S, Jorgenson, Eric, Spring, Bonnie, Coresh, Josef, Li, Yun R, Buxbaum, Sarah G, Schreiner, Pamela J, Curtis, R, Y Tsai, Michael, Patel, Sanjay R, Redline, Susan, Johnson, Andrew D, Hoogeveen, Ron C, Hakonarson, Hakon, Rotter, Jerome I, Boerwinkle, Eric, de Bakker, Paul I W, Kivimaki, Mika, Asselbergs, Folkert W, Sattar, Naveed, Lawlor, Debbie A, Whittaker, John, Smith, George Davey, Mukamal, Kenneth, Psaty, Bruce M, Wilson, James G, Lange, Leslie A, Hamidovic, Ajna, Hingorani, Aroon D, Nordestgaard, Børge G, Bobak, Martin, Leon, David A, Langenberg, Claudia, Palmer, Tom M, Reiner, Alex P, Keating, Brendan J, Dudbridge, Frank, and Casas, Juan P

Published
2014

26. COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records

Author

Thygesen, Johan H, primary, Tomlinson, Christopher, additional, Hollings, Sam, additional, Mizani, Mehrdad A, additional, Handy, Alex, additional, Akbari, Ashley, additional, Banerjee, Amitava, additional, Cooper, Jennifer, additional, Lai, Alvina G, additional, Li, Kezhi, additional, Mateen, Bilal A, additional, Sattar, Naveed, additional, Sofat, Reecha, additional, Torralbo, Ana, additional, Wu, Honghan, additional, Wood, Angela, additional, Sterne, Jonathan A C, additional, Pagel, Christina, additional, Whiteley, William N, additional, Sudlow, Cathie, additional, Hemingway, Harry, additional, Denaxas, Spiros, additional, Abbasizanjani, Hoda, additional, Ahmed, Nida, additional, Ahmed, Badar, additional, Akinoso-Imran, Abdul Qadr, additional, Allara, Elias, additional, Allery, Freya, additional, Angelantonio, Emanuele Di, additional, Ashworth, Mark, additional, Ayyar-Gupta, Vandana, additional, Babu-Narayan, Sonya, additional, Bacon, Seb, additional, Ball, Steve, additional, Banerjee, Ami, additional, Barber, Mark, additional, Barrett, Jessica, additional, Bennie, Marion, additional, Berry, Colin, additional, Beveridge, Jennifer, additional, Birney, Ewan, additional, Bojanić, Lana, additional, Bolton, Thomas, additional, Bone, Anna, additional, Boyle, Jon, additional, Braithwaite, Tasanee, additional, Bray, Ben, additional, Briffa, Norman, additional, Brind, David, additional, Brown, Katherine, additional, Buch, Maya, additional, Canoy, Dexter, additional, Caputo, Massimo, additional, Carragher, Raymond, additional, Carson, Alan, additional, Cezard, Genevieve, additional, Chang, Jen-Yu Amy, additional, Cheema, Kate, additional, Chin, Richard, additional, Chudasama, Yogini, additional, Copland, Emma, additional, Crallan, Rebecca, additional, Cripps, Rachel, additional, Cromwell, David, additional, Curcin, Vasa, additional, Curry, Gwenetta, additional, Dale, Caroline, additional, Danesh, John, additional, Das-Munshi, Jayati, additional, Dashtban, Ashkan, additional, Davies, Alun, additional, Davies, Joanna, additional, Davies, Gareth, additional, Davies, Neil, additional, Day, Joshua, additional, Delmestri, Antonella, additional, Denholm, Rachel, additional, Dennis, John, additional, Denniston, Alastair, additional, Deo, Salil, additional, Dhillon, Baljean, additional, Docherty, Annemarie, additional, Dong, Tim, additional, Douiri, Abdel, additional, Downs, Johnny, additional, Dregan, Alexandru, additional, Ellins, Elizabeth A, additional, Elwenspoek, Martha, additional, Falck, Fabian, additional, Falter, Florian, additional, Fan, Yat Yi, additional, Firth, Joseph, additional, Fraser, Lorna, additional, Friebel, Rocco, additional, Gavrieli, Amir, additional, Gerstung, Moritz, additional, Gilbert, Ruth, additional, Gillies, Clare, additional, Glickman, Myer, additional, Goldacre, Ben, additional, Goldacre, Raph, additional, Greaves, Felix, additional, Green, Mark, additional, Grieco, Luca, additional, Griffiths, Rowena, additional, Gurdasani, Deepti, additional, Halcox, Julian, additional, Hall, Nick, additional, Hama, Tuankasfee, additional, Hansell, Anna, additional, Hardelid, Pia, additional, Hardy, Flavien, additional, Harris, Daniel, additional, Harrison, Camille, additional, Harron, Katie, additional, Hassaine, Abdelaali, additional, Hassan, Lamiece, additional, Healey, Russell, additional, Henderson, Angela, additional, Herz, Naomi, additional, Heyl, Johannes, additional, Hidajat, Mira, additional, Higginson, Irene, additional, Hinchliffe, Rosie, additional, Hippisley-Cox, Julia, additional, Ho, Frederick, additional, Hocaoglu, Mevhibe, additional, Horne, Elsie, additional, Hughes, David, additional, Humberstone, Ben, additional, Inouye, Mike, additional, Ip, Samantha, additional, Islam, Nazrul, additional, Jackson, Caroline, additional, Jenkins, David, additional, Jiang, Xiyun, additional, Johnson, Shane, additional, Kadam, Umesh, additional, Kallis, Costas, additional, Karim, Zainab, additional, Kasan, Jake, additional, Katsoulis, Michalis, additional, Kavanagh, Kim, additional, Kee, Frank, additional, Keene, Spencer, additional, Kent, Seamus, additional, Khalid, Sara, additional, Khawaja, Anthony, additional, Khunti, Kamlesh, additional, Killick, Richard, additional, Kinnear, Deborah, additional, Knight, Rochelle, additional, Kolamunnage-Dona, Ruwanthi, additional, Kontopantelis, Evan, additional, Kurdi, Amanj, additional, Lacey, Ben, additional, Lai, Alvina, additional, Lambarth, Andrew, additional, Larzjan, Milad Nazarzadeh, additional, Lawler, Deborah, additional, Lawrence, Thomas, additional, Lawson, Claire, additional, Li, Qiuju, additional, Li, Ken, additional, Llinares, Miguel Bernabeu, additional, Lorgelly, Paula, additional, Lowe, Deborah, additional, Lyons, Jane, additional, Lyons, Ronan, additional, Machado, Pedro, additional, Macleod, Mary Joan, additional, Macleod, John, additional, Malgapo, Evaleen, additional, Mamas, Mamas, additional, Mamouei, Mohammad, additional, Manohar, Sinduja, additional, Mapeta, Rutendo, additional, Martelli, Javiera Leniz, additional, Martos, David Moreno, additional, Mateen, Bilal, additional, McCarthy, Aoife, additional, Melville, Craig, additional, Milton, Rebecca, additional, Mizani, Mehrdad, additional, Moncusi, Marta Pineda, additional, Morales, Daniel, additional, Mordi, Ify, additional, Morrice, Lynn, additional, Morris, Carole, additional, Morris, Eva, additional, Mu, Yi, additional, Mueller, Tanja, additional, Murdock, Lars, additional, Nafilyan, Vahé, additional, Nicholson, George, additional, Nikiphorou, Elena, additional, Nolan, John, additional, Norris, Tom, additional, Norris, Ruth, additional, North, Laura, additional, North, Teri-Louise, additional, O'Connell, Dan, additional, Oliver, Dominic, additional, Oluyase, Adejoke, additional, Olvera-Barrios, Abraham, additional, Omigie, Efosa, additional, Onida, Sarah, additional, Padmanabhan, Sandosh, additional, Palmer, Tom, additional, Pasea, Laura, additional, Patel, Riyaz, additional, Payne, Rupert, additional, Pell, Jill, additional, Petitjean, Carmen, additional, Pherwani, Arun, additional, Pickrell, Owen, additional, Pierotti, Livia, additional, Pirmohamed, Munir, additional, Priedon, Rouven, additional, Prieto-Alhambra, Dani, additional, Proudfoot, Alastair, additional, Quinn, Terry, additional, Quint, Jennifer, additional, Raffetti, Elena, additional, Rahimi, Kazem, additional, Rao, Shishir, additional, Razieh, Cameron, additional, Roberts, Brian, additional, Rogers, Caroline, additional, Rossdale, Jennifer, additional, Salim, Safa, additional, Samani, Nilesh, additional, Schnier, Christian, additional, Schwartz, Roy, additional, Selby, David, additional, Seminog, Olena, additional, Shabnam, Sharmin, additional, Shah, Ajay, additional, Shelton, Jon, additional, Sheppard, James, additional, Sinha, Shubhra, additional, Skrypak, Mirek, additional, Slapkova, Martina, additional, Sleeman, Katherine, additional, Smith, Craig, additional, Sosenko, Filip, additional, Sperrin, Matthew, additional, Steeg, Sarah, additional, Sterne, Jonathan, additional, Stoica, Serban, additional, Sudell, Maria, additional, Sun, Luanluan, additional, Suseeladevi, Arun Karthikeyan, additional, Sweeting, Michael, additional, Sydes, Matt, additional, Takhar, Rohan, additional, Tang, Howard, additional, Thygesen, Johan, additional, Tilston, George, additional, Tochel, Claire, additional, Toit, Clea du, additional, Toms, Renin, additional, Torabi, Fatemeh, additional, Townson, Julia, additional, Tufail, Adnan, additional, Tungamirai, Tapiwa, additional, Varma, Susheel, additional, Vollmer, Sebastian, additional, Walker, Venexia, additional, Wang, Tianxiao, additional, Wang, Huan, additional, Warwick, Alasdair, additional, Watkinson, Ruth, additional, Watson, Harry, additional, Whiteley, William, additional, Whittaker, Hannah, additional, Wilde, Harry, additional, Wilkinson, Tim, additional, Williams, Gareth, additional, Williams, Michelle, additional, Williams, Richard, additional, Withnell, Eloise, additional, Wolfe, Charles, additional, Wright, Lucy, additional, Wu, Jinge, additional, Wu, Jianhua, additional, Yates, Tom, additional, Zaccardi, Francesco, additional, Zhang, Haoting, additional, Zhang, Huayu, additional, and Zuccolo, Luisa, additional

Published
2022
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28. Evaluation of antithrombotic use and COVID-19 outcomes in a nationwide atrial fibrillation cohort

Author

Handy, Alex, Banerjee, Amitava, Wood, Angela M, Dale, Caroline, Sudlow, Cathie LM, Tomlinson, Christopher, Bean, Daniel, Thygesen, Johan H, Mizani, Mehrdad A, Katsoulis, Michail, Takhar, Rohan, Hollings, Sam, Denaxas, Spiros, Walker, Venexia, Dobson, Richard, Sofat, Reecha, CVD-COVID-UK Consortium, Handy, Alex [0000-0002-3739-1530], Banerjee, Amitava [0000-0001-8741-3411], Wood, Angela M [0000-0002-7937-304X], Sudlow, Cathie LM [0000-0002-7725-7520], Tomlinson, Christopher [0000-0002-0903-5395], Bean, Daniel [0000-0002-8594-7804], Thygesen, Johan H [0000-0002-7479-3459], Katsoulis, Michail [0000-0002-1756-9530], Denaxas, Spiros [0000-0001-9612-7791], Dobson, Richard [0000-0003-4224-9245], Sofat, Reecha [0000-0002-0242-6115], and Apollo - University of Cambridge Repository

Subjects
drug monitoring, COVID-19, Anticoagulants, Risk Assessment, Stroke, electronic health records, Fibrinolytic Agents, Risk Factors, Atrial Fibrillation, Humans, epidemiology, Female, Warfarin, Aged
Abstract

Funder: British Medical Association; FundRef: http://dx.doi.org/10.13039/501100000374, Funder: UK Research and Innovation; FundRef: http://dx.doi.org/10.13039/100014013, Funder: NIHR University College London Hospitals Biomedical Research Centre, Funder: AstraZeneca; FundRef: http://dx.doi.org/10.13039/100004325, Funder: NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King’s College London, London, UK, Funder: UK Research and Innovation London Medical Imaging & Artificial Intelligence Centre for Value Based Healthcare, Funder: NIHR Applied Research Collaboration South London (NIHR ARC South London) at King’s College Hospital NHS Foundation Trust, OBJECTIVE: To evaluate antithrombotic (AT) use in individuals with atrial fibrillation (AF) and at high risk of stroke (CHA2DS2-VASc score ≥2) and investigate whether pre-existing AT use may improve COVID-19 outcomes. METHODS: Individuals with AF and CHA2DS2-VASc score ≥2 on 1 January 2020 were identified using electronic health records for 56 million people in England and were followed up until 1 May 2021. Factors associated with pre-existing AT use were analysed using logistic regression. Differences in COVID-19-related hospitalisation and death were analysed using logistic and Cox regression in individuals with pre-existing AT use versus no AT use, anticoagulants (AC) versus antiplatelets (AP), and direct oral anticoagulants (DOACs) versus warfarin. RESULTS: From 972 971 individuals with AF (age 79 (±9.3), female 46.2%) and CHA2DS2-VASc score ≥2, 88.0% (n=856 336) had pre-existing AT use, 3.8% (n=37 418) had a COVID-19 hospitalisation and 2.2% (n=21 116) died, followed up to 1 May 2021. Factors associated with no AT use included comorbidities that may contraindicate AT use (liver disease and history of falls) and demographics (socioeconomic status and ethnicity). Pre-existing AT use was associated with lower odds of death (OR=0.92, 95% CI 0.87 to 0.96), but higher odds of hospitalisation (OR=1.20, 95% CI 1.15 to 1.26). AC versus AP was associated with lower odds of death (OR=0.93, 95% CI 0.87 to 0.98) and higher hospitalisation (OR=1.17, 95% CI 1.11 to 1.24). For DOACs versus warfarin, lower odds were observed for hospitalisation (OR=0.86, 95% CI 0.82 to 0.89) but not for death (OR=1.00, 95% CI 0.95 to 1.05). CONCLUSIONS: Pre-existing AT use may be associated with lower odds of COVID-19 death and, while not evidence of causality, provides further incentive to improve AT coverage for eligible individuals with AF.

Published
2022
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32. Incidence, morbidity, mortality and disparities in dementia: A population linked electronic health records study of 4.3 million individuals

Author

Chung, Sheng‐Chia, primary, Providencia, Rui, additional, Sofat, Reecha, additional, Pujades‐Rodriguez, Mar, additional, Torralbo, Ana, additional, Fatemifar, Ghazaleh, additional, Fitzpatrick, Natalie K., additional, Taylor, Julie, additional, Li, Ken, additional, Dale, Caroline, additional, Rossor, Martin, additional, Acosta‐Mena, Dionisio, additional, Whittaker, John, additional, and Denaxas, Spiros, additional

Published
2022
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33. Evaluation of antithrombotic use and COVID-19 outcomes in a nationwide atrial fibrillation cohort

Author

Handy, Alex, primary, Banerjee, Amitava, additional, Wood, Angela M, additional, Dale, Caroline, additional, Sudlow, Cathie L M, additional, Tomlinson, Christopher, additional, Bean, Daniel, additional, Thygesen, Johan H, additional, Mizani, Mehrdad A, additional, Katsoulis, Michail, additional, Takhar, Rohan, additional, Hollings, Sam, additional, Denaxas, Spiros, additional, Walker, Venexia, additional, Dobson, Richard, additional, and Sofat, Reecha, additional

Published
2022
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34. Estimating dose-response relationships for vitamin D with coronary heart disease, stroke, and all-cause mortality: observational and Mendelian randomisation analyses

Author

Drechsler, Christiane, Bolland, Mark J., Reid, Ian, Willeit, Johann, Schett, Georg, Santer, Peter, Sofat, Reecha, Taylor, Julie, Dale, Caroline, Prince, Richard L., Ben-Shlomo, Yoav, Gallacher, John, Jensen, Gorm B., Frikke-Schmidt, Ruth, Bojesen, Stig Egil, Benn, Marianne, Wulff, Anders B., Krogh, Signe V., Schierbeck, Louise Lind, Kaptoge, Stephen, Wareham, Nicholas, Schöttker, Ben, Zhu, Anna, Holleczek, Bernd, Dennison, Elaine, Jameson, Karen, Schleithoff, Stefanie Schulze, Frisch, Sabine, Linneberg, Allan, Skaaby, Tea, Kårhus, Line Lund, de Jongh, Renate T., Visser, Marjolein, Dobnig, Harald, Robinson-Cohen, Cassianne, Siscovick, David S., Kestenbaum, Bryan R., McConnachie, Alex, Sattar, Naveed, Morrison, David, Lundqvist, Annamari, Cawthon, Peggy M., Albertorio, Juan R., Jukema, J Wouter, Trompet, Stella, Kearney, Patricia, Dörr, Marcus, Völzke, Henry, Nauck, Matthias, Rossing, Peter, Persson, Frederik, Marniemi, Jukka, Vazquez, Victoria, Sundström, Johan, Risérus, Ulf, Michaëlsson, Karl, Emberson, Jonathan, Leon, David, and Kivimäki, Mika

Abstract

Background:\ud Randomised trials of vitamin D supplementation for cardiovascular disease and all-cause mortality have generally reported null findings. However, generalisability of results to individuals with low vitamin D status is unclear. We aimed to characterise dose-response relationships between 25-hydroxyvitamin D (25[OH]D) concentrations and risk of coronary heart disease, stroke, and all-cause mortality in observational and Mendelian randomisation frameworks.\ud \ud Methods:\ud Observational analyses were undertaken using data from 33 prospective studies comprising 500 962 individuals with no known history of coronary heart disease or stroke at baseline. Mendelian randomisation analyses were performed in four population-based cohort studies (UK Biobank, EPIC-CVD, and two Copenhagen population-based studies) comprising 386 406 middle-aged individuals of European ancestries, including 33 546 people who developed coronary heart disease, 18 166 people who had a stroke, and 27 885 people who died. Primary outcomes were coronary heart disease, defined as fatal ischaemic heart disease (International Classification of Diseases 10th revision code I20-I25) or non-fatal myocardial infarction (I21-I23); stroke, defined as any cerebrovascular disease (I60-I69); and all-cause mortality.\ud \ud Findings:\ud Observational analyses suggested inverse associations between incident coronary heart disease, stroke, and all-cause mortality outcomes with 25(OH)D concentration at low 25(OH)D concentrations. In population-wide genetic analyses, there were no associations of genetically-predicted 25(OH)D with coronary heart disease, stroke, or all-cause mortality. However, for the participants with vitamin D deficiency (25[OH]D concentration

Published
2021

35. The adverse impact of COVID-19 pandemic on cardiovascular disease prevention and management in England, Scotland and Wales: A population-scale analysis of trends in medication data

Author

Dale, Caroline E, primary, Takhar, Rohan, additional, Carragher, Ray, additional, Torabi, Fatemeh, additional, Katsoulis, Michalis, additional, Duffield, Stephen, additional, Kent, Seamus, additional, Mueller, Tanja, additional, Kurdi, Amanj, additional, McTaggart, Stuart, additional, Abbasizanjani, Hoda, additional, Hollings, Sam, additional, Scourfield, Andrew, additional, Lyons, Ronan, additional, Griffiths, Rowena, additional, Lyons, Jane, additional, Davies, Gareth, additional, Harris, Dan, additional, Handy, Alex, additional, Mizani, Mehrdad Alizadeh, additional, Tomlinson, Chris, additional, Ashworth, Mark, additional, Denaxas, Spiros, additional, Banerjee, Amitava, additional, Sterne, Jonathan, additional, Lovibond, Kate, additional, Brown, Paul, additional, Bullard, Ian, additional, Priedon, Rouven, additional, Mamas, Mamas A, additional, Slee, Ann, additional, Lorgelly, Paula, additional, Pirmohamed, Munir, additional, Khunti, Kamlesh, additional, Sattar, Naveed, additional, Morris, Andrew, additional, Sudlow, Cathie, additional, Akbari, Ashley, additional, Bennie, Marion, additional, and Sofat, Reecha, additional

Published
2022
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38. Exome-wide analysis of rare coding variation identifies novel associations with COPD and airflow limitation in MOCS3, IFIT3 and SERPINA12

Author

Jackson, Victoria E, Ntalla, Ioanna, Sayers, Ian, Morris, Richard, Whincup, Peter, Casas, Juan-Pablo, Amuzu, Antoinette, Choi, Minkyoung, Dale, Caroline, Kumari, Meena, Engmann, Jorgen, Kalsheker, Noor, Chappell, Sally, Guetta-Baranes, Tamar, McKeever, Tricia M, Palmer, Colin N A, Tavendale, Roger, Holloway, John W, Sayer, Avan A, Dennison, Elaine M, Cooper, Cyrus, Bafadhel, Mona, Barker, Bethan, Brightling, Chris, Bolton, Charlotte E, John, Michelle E, Parker, Stuart G, Moffat, Miriam F, Wardlaw, Andrew J, Connolly, Martin J, Porteous, David J, Smith, Blair H, Padmanabhan, Sandosh, Hocking, Lynne, Stirrups, Kathleen E, Deloukas, Panos, Strachan, David P, Hall, Ian P, Tobin, Martin D, and Wain, Louise V

Published
2016
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39. Incidence, morbidity, mortality and disparities in dementia: A population linked electronic health records study of 4.3 million individuals.

Author

Chung, Sheng‐Chia, Providencia, Rui, Sofat, Reecha, Pujades‐Rodriguez, Mar, Torralbo, Ana, Fatemifar, Ghazaleh, Fitzpatrick, Natalie K., Taylor, Julie, Li, Ken, Dale, Caroline, Rossor, Martin, Acosta‐Mena, Dionisio, Whittaker, John, and Denaxas, Spiros

Abstract

Introduction: We report dementia incidence, comorbidities, reasons for health‐care visits, mortality, causes of death, and examined dementia patterns by relative deprivation in the UK. Method: A longitudinal cohort analysis of linked electronic health records from 4.3 million people in the UK was conducted to investigate dementia incidence and mortality. Reasons for hospitalization and causes of death were compared in individuals with and without dementia. Results: From 1998 to 2016 we observed 145,319 (3.1%) individuals with incident dementia. Repeated hospitalizations among senior adults for infection, unknown morbidity, and multiple primary care visits for chronic pain were observed prior to dementia diagnosis. Multiple long‐term conditions are present in half of the individuals at the time of diagnosis. Individuals living in high deprivation areas had higher dementia incidence and high fatality. Discussion: There is a considerable disparity of dementia that informs priorities of prevention and provision of patient care. [ABSTRACT FROM AUTHOR]

Published
2023
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41. Sixty-Five Common Genetic Variants and Prediction of Type 2 Diabetes

Author

Talmud, Philippa J., Cooper, Jackie A., Morris, Richard W., Dudbridge, Frank, Shah, Tina, Engmann, Jorgen, Dale, Caroline, White, Jon, McLachlan, Stela, Zabaneh, Delilah, Wong, Andrew, Ong, Ken K., Gaunt, Tom, Holmes, Michael V., Lawlor, Debbie A., Richards, Marcus, Hardy, Rebecca, Kuh, Diana, Wareham, Nicholas, Langenberg, Claudia, Ben-Shlomo, Yoav, Wannamethee, S. Goya, Strachan, Mark W.J., Kumari, Meena, Whittaker, John C., Drenos, Fotios, Kivimaki, Mika, Hingorani, Aroon D., Price, Jacqueline F., and Humphries, Steve E.

Published
2015
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43. Mendelian randomization of blood lipids for coronary heart disease

Author

Holmes, Michael V., Asselbergs, Folkert W., Palmer, Tom M., Drenos, Fotios, Lanktree, Matthew B., Nelson, Christopher P., Dale, Caroline E., Padmanabhan, Sandosh, Finan, Chris, Swerdlow, Daniel I., Tragante, Vinicius, van Iperen, Erik P.A., Sivapalaratnam, Suthesh, Shah, Sonia, Elbers, Clara C., Shah, Tina, Engmann, Jorgen, Giambartolomei, Claudia, White, Jon, Zabaneh, Delilah, Sofat, Reecha, McLachlan, Stela, Doevendans, Pieter A., Balmforth, Anthony J., Hall, Alistair S., North, Kari E., Almoguera, Berta, Hoogeveen, Ron C., Cushman, Mary, Fornage, Myriam, Patel, Sanjay R., Redline, Susan, Siscovick, David S., Tsai, Michael Y., Karczewski, Konrad J., Hofker, Marten H., Verschuren, W. Monique, Bots, Michiel L., van der Schouw, Yvonne T., Melander, Olle, Dominiczak, Anna F., Morris, Richard, Ben-Shlomo, Yoav, Price, Jackie, Kumari, Meena, Baumert, Jens, Peters, Annette, Thorand, Barbara, Koenig, Wolfgang, Gaunt, Tom R., Humphries, Steve E., Clarke, Robert, Watkins, Hugh, Farrall, Martin, Wilson, James G., Rich, Stephen S., de Bakker, Paul I.W., Lange, Leslie A., Davey Smith, George, Reiner, Alex P., Talmud, Philippa J., Kivimäki, Mika, Lawlor, Debbie A., Dudbridge, Frank, Samani, Nilesh J., Keating, Brendan J., Hingorani, Aroon D., and Casas, Juan P.

Published
2015
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44. Linked electronic health records for research on a nationwide cohort of more than 54 million people in England:data resource

Author

Wood, Angela, Denholm, Rachel, Hollings, Sam, Cooper, Jennifer, Ip, Samantha, Walker, Venexia, Denaxas, Spiros, Akbari, Ashley, Banerjee, Amitava, Whiteley, William, Lai, Alvina, Sterne, Jonathan, Sudlow, Cathie, CVD-COVID-UK Consortium, Douiri, Abdel, Akinoso-Imran, Abdul Qadr, Jonas, Adrian, Shah, Ajay, Handy, Alex, Davies, Alun, Kurdi, Amanj, Hansell, Anna, Docherty, Annemarie, Pherwani, Arun, Dashtban, Ashkan, Bray, Ben, Cairns, Ben, Goldacre, Ben, Humberstone, Ben, Mateen, Bilal, Doble, Brett, Roberts, Brian, Morris, Carole, Dale, Caroline, Rogers, Caroline, Wolfe, Charles, Tomlinson, Christopher, Lawson, Claire, Du Toit, Clea, Berry, Colin, Smith, Craig, O’Connell, Dan, Harris, Daniel, Brind, David, Cromwell, David, Hughes, David, Martos, David Moreno, Ringham, Debbie, Lawler, Deborah, Lowe, Deborah, Nikiphorou, Elena, Withnell, Eloise, Di Angelantonio, Emanuele, Morris, Eva, Birney, Ewan, Falck, Fabian, Torabi, Fatemeh, Greaves, Felix, Falter, Florian, Zaccardi, Francesco, Kee, Frank, Davies, Gareth, Nicholson, George, Curry, Gwenetta, Zhang, Haoting, Hemingway, Harry, Wilde, Harry, Abbasizanjani, Hoda, Wu, Honghan, Tang, Howard, Wang, Huan, Mordi, Ify, MacArthur, Jackie, Lyons, Jane, Beveridge, Jennifer, Barrett, Jessica, Wu, Jianhua, Thygesen, Johan, Danesh, John, Dennis, John, Boyle, Jon, Halcox, Julian, Khunti, Kamlesh, Cheema, Kate, Brown, Katherine, Li, Ken, Kavanagh, Kim, North, Laura, Pasea, Laura, Ellins, Libby, Pierotti, Livia, Wright, Lucy, Martin, Lydia, Morrice, Lynn, Mamas, Mamas, Bennie, Marion, Barber, Mark, Macleod, Mary Joan, Caputo, Massimo, Buch, Maya, Mizani, Mehrdad, Katsoulis, Michalis, Gravenor, Mike, Inouye, Mike, Skrypak, Mirek, Gerstung, Moritz, Pirmohamed, Munir, Glickman, Myer, Herz, Naomi, Davies, Neil, Hall, Nick, Samani, Nilesh, Seminog, Olena, Lorgelly, Paula, Machado, Pedro, Li, Qiuju, Goldacre, Raph, Carragher, Raymond, Sofat, Reecha, Takhar, Rohan, Lyons, Ronan, Priedon, Rouven, Griffiths, Rowena, Payne, Rupert, Kolamunnage-Dona, Ruwanthi, Salim, Safa, Padmanabhan, Sandosh, Onida, Sarah, Kent, Seamus, Bacon, Seb, Manohar, Sinduja, Babu-Narayan, Sonya, Keene, Spencer, Varma, Susheel, Lawrence, Thomas, Wang, Tianxiao, Wilkinson, Tim, Norris, Tom, Palmer, Tom, Nafilyan, Vahé, Wood, Angela [0000-0002-7937-304X], and Apollo - University of Cambridge Repository

Subjects
Male, COVID-19/diagnosis, 030204 cardiovascular system & hematology, Cohort Studies, 0302 clinical medicine, COVID-19 Testing, Epidemiology, Electronic Health Records, Primary Health Care/statistics & numerical data, 030212 general & internal medicine, Child, Stroke, Cardiovascular Diseases/diagnosis, education.field_of_study, General Medicine, Middle Aged, Hospitalization, England, Cardiovascular Diseases, Child, Preschool, Cohort, Female, Medical emergency, Medical Record Linkage, Cohort study, Adult, medicine.medical_specialty, COVID-19 Vaccines, Adolescent, Population, MEDLINE, 03 medical and health sciences, Young Adult, Intensive care, medicine, Humans, England/epidemiology, education, Aged, Hospitalization/statistics & numerical data, Primary Health Care, business.industry, SARS-CoV-2, Public health, Research, Infant, Newborn, COVID-19, Infant, medicine.disease, United Kingdom, business
Abstract

Objective To describe a novel England-wide electronic health record (EHR) resource enabling whole population research on covid-19 and cardiovascular disease while ensuring data security and privacy and maintaining public trust. Design Data resource comprising linked person level records from national healthcare settings for the English population, accessible within NHS Digital’s new trusted research environment. Setting EHRs from primary care, hospital episodes, death registry, covid-19 laboratory test results, and community dispensing data, with further enrichment planned from specialist intensive care, cardiovascular, and covid-19 vaccination data. Participants 54.4 million people alive on 1 January 2020 and registered with an NHS general practitioner in England. Main outcome measures Confirmed and suspected covid-19 diagnoses, exemplar cardiovascular conditions (incident stroke or transient ischaemic attack and incident myocardial infarction) and all cause mortality between 1 January and 31 October 2020. Results The linked cohort includes more than 96% of the English population. By combining person level data across national healthcare settings, data on age, sex, and ethnicity are complete for around 95% of the population. Among 53.3 million people with no previous diagnosis of stroke or transient ischaemic attack, 98 721 had a first ever incident stroke or transient ischaemic attack between 1 January and 31 October 2020, of which 30% were recorded only in primary care and 4% only in death registry records. Among 53.2 million people with no previous diagnosis of myocardial infarction, 62 966 had an incident myocardial infarction during follow-up, of which 8% were recorded only in primary care and 12% only in death registry records. A total of 959 470 people had a confirmed or suspected covid-19 diagnosis (714 162 in primary care data, 126 349 in hospital admission records, 776 503 in covid-19 laboratory test data, and 50 504 in death registry records). Although 58% of these were recorded in both primary care and covid-19 laboratory test data, 15% and 18%, respectively, were recorded in only one. Conclusions This population-wide resource shows the importance of linking person level data across health settings to maximise completeness of key characteristics and to ascertain cardiovascular events and covid-19 diagnoses. Although this resource was initially established to support research on covid-19 and cardiovascular disease to benefit clinical care and public health and to inform healthcare policy, it can broaden further to enable a wide range of research.

Published
2021

49. Alcohol consumption and cognitive performance: a Mendelian randomization study

Author

Kumari, Meena, Holmes, Michael V., Dale, Caroline E., Hubacek, Jaroslav A., Palmer, Tom M., Pikhart, Hynek, Peasey, Anne, Britton, Annie, Horvat, Pia, Kubinova, Ruzena, Malyutina, Sofia, Pajak, Andrzej, Tamosiunas, Abdonas, Shankar, Aparna, Singh-Manoux, Archana, Voevoda, Mikhail, Kivimaki, Mika, Hingorani, Aroon D., Marmot, Michael G., Casas, Juan P., and Bobak, Martin

Published
2014
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