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Stephen Kaptoge
University of Cambridge
154Publications
51H-index
17.8kCitations
Publications 155
Newest
#1Andrew Browne (University of Cambridge)
#2Sheila A. Fisher (University of Oxford)H-Index: 4
Last.David J. Roberts (University of Oxford)H-Index: 44
view all 14 authors...
Abstract Blood donors attending a donation session may be deferred from donating blood due to a failure to meet low hemoglobin (Hb) thresholds. This costs the blood donor service and donors valuable time and resources. In addition, donors who are deferred may have more symptoms, and as a direct and/or indirect effect of their experience, return rates of donors deferred for low Hb are reduced, even in repeat donors. It is therefore vital that low Hb deferral (LHD) is minimized. The aim of this up...
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#1Brian A. Ference (University of Cambridge)H-Index: 19
#2Deepak L. Bhatt (Brigham and Women's Hospital)H-Index: 122
Last.Marc S. Sabatine (Brigham and Women's Hospital)H-Index: 90
view all 18 authors...
Importance The relationship between exposure to lower low-density lipoprotein cholesterol (LDL-C) and lower systolic blood pressure (SBP) with the risk of cardiovascular disease has not been reliably quantified. Objective To assess the association of lifetime exposure to the combination of both lower LDL-C and lower SBP with the lifetime risk of cardiovascular disease. Design, Setting, and Participants Among 438 952 participants enrolled in the UK Biobank between 2006 and 2010 and followed up th...
11 CitationsSource
#1Stephen KaptogeH-Index: 51
#2Lisa PennellsH-Index: 12
Last.Emanuele Di AngelantonioH-Index: 54
view all 101 authors...
Summary Background To help adapt cardiovascular disease risk prediction approaches to low-income and middle-income countries, WHO has convened an effort to develop, evaluate, and illustrate revised risk models. Here, we report the derivation, validation, and illustration of the revised WHO cardiovascular disease risk prediction charts that have been adapted to the circumstances of 21 global regions. Methods In this model revision initiative, we derived 10-year risk prediction models for fatal an...
3 CitationsSource
#1Stephen KaptogeH-Index: 51
Last.Jonathan MantH-Index: 45
view all 121 authors...
Summary Background The INTERVAL trial showed that, over a 2-year period, inter-donation intervals for whole blood donation can be safely reduced to meet blood shortages. We extended the INTERVAL trial for a further 2 years to evaluate the longer-term risks and benefits of varying inter-donation intervals, and to compare routine versus more intensive reminders to help donors keep appointments. Methods The INTERVAL trial was a parallel group, pragmatic, randomised trial that recruited blood donors...
1 CitationsSource
#2Stephen KaptogeH-Index: 51
Last.Nicholas W. MorrellH-Index: 66
view all 10 authors...
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#1Luanluan Sun (University of Cambridge)
#2Lisa Pennells (University of Cambridge)H-Index: 12
Last.Emanuele Di Angelantonio (University of Cambridge)H-Index: 54
view all 21 authors...
Background: There is debate about the value of adding information on genetic and other molecular markers to conventional cardiovascular disease (CVD) risk predictors. Methods: Using data on 306,654 individuals without a history of CVD from UK Biobank, we calculated measures of risk-discrimination and reclassification upon addition of polygenic risk scores (PRS) and a panel of 27 clinical biochemistry markers to a conventional risk prediction model (i.e., including age, sex, systolic blood pressu...
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#1Eleni Sofianopoulou (University of Cambridge)H-Index: 5
#2Stephen Kaptoge (University of Cambridge)H-Index: 51
Last.Nicholas W. Morrell (University of Cambridge)H-Index: 66
view all 33 authors...
While traffic and air pollution exposure is associated with increased mortality in numerous diseases, its association with disease severity and outcomes in pulmonary arterial hypertension (PAH) remains unknown. Exposure to particulate matter with a 50% cut-off aerodynamic diameter ≤2.5 μm (PM2.5), nitrogen dioxide (NO2) and indirect measures of traffic-related air pollution (distance to main road and length of roads within buffer zones surrounding residential addresses) were estimated for 301 pa...
2 CitationsSource
#1John A. Morris (McGill University)H-Index: 10
#2John P. Kemp (UoB: University of Bristol)H-Index: 43
Last.J. Brent RichardsH-Index: 45
view all 59 authors...
In the version of this article initially published, in Fig. 5a, the data in the right column of ‘DAAM2 gRNA1’ were incorrectly plotted as circles indicating ‘untreated’ rather than as squares indicating ‘treated’. The error has been corrected in the HTML and PDF versions of the article.
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#1Yi-Qian Sun (NTNU: Norwegian University of Science and Technology)H-Index: 4
#2Stephen Burgess (University of Cambridge)H-Index: 43
Last.Xiao-Mei Mai (NTNU: Norwegian University of Science and Technology)H-Index: 11
view all 16 authors...
Abstract Objective To investigate the shape of the causal relation between body mass index (BMI) and mortality. Design Linear and non-linear mendelian randomisation analyses. Setting Nord-Trondelag Health (HUNT) Study (Norway) and UK Biobank (United Kingdom). Participants Middle to early late aged participants of European descent: 56 150 from the HUNT Study and 366 385 from UK Biobank. Main outcome measures All cause and cause specific (cardiovascular, cancer, and non-cardiovascular non-cancer) ...
3 CitationsSource
#1Lisa Pennells (University of Cambridge)H-Index: 12
#2Stephen Kaptoge (University of Cambridge)H-Index: 51
Last.Johanna M. GeleijnseH-Index: 73
view all 216 authors...
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...
11 CitationsSource
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