Author
Stephen Kaptoge
Other affiliations: University College London, British Heart Foundation, National Institute for Health Research
Bio: Stephen Kaptoge is an academic researcher from University of Cambridge. The author has contributed to research in topics: Population & Osteoporosis. The author has an hindex of 56, co-authored 133 publications receiving 25330 citations. Previous affiliations of Stephen Kaptoge include University College London & British Heart Foundation.
Topics: Population, Osteoporosis, Bone density, Medicine, Hazard ratio
Papers published on a yearly basis
Papers
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TL;DR: A meta-analysis of individual records of diabetes, fasting blood glucose concentration, and other risk factors in people without initial vascular disease from studies in the Emerging Risk Factors Collaboration found diabetes confers about a two-fold excess risk for a wide range of vascular diseases, independently from other conventional risk factors.
3,568 citations
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TL;DR: Lid assessment in vascular disease can be simplified by measurement of either total and HDL cholesterol levels or apolipoproteins without the need to fast and without regard to triglyceride.
Abstract: CONTEXT: Associations of major lipids and apolipoproteins with the risk of vascular disease have not been reliably quantified. OBJECTIVE: To assess major lipids and apolipoproteins in vascular risk. DESIGN, SETTING, AND PARTICIPANTS: Individual records were supplied on 302,430 people without initial vascular disease from 68 long-term prospective studies, mostly in Europe and North America. During 2.79 million person-years of follow-up, there were 8857 nonfatal myocardial infarctions, 3928 coronary heart disease [CHD] deaths, 2534 ischemic strokes, 513 hemorrhagic strokes, and 2536 unclassified strokes. MAIN OUTCOME MEASURES: Hazard ratios (HRs), adjusted for several conventional factors, were calculated for 1-SD higher values: 0.52 log(e) triglyceride, 15 mg/dL high-density lipoprotein cholesterol (HDL-C), 43 mg/dL non-HDL-C, 29 mg/dL apolipoprotein AI, 29 mg/dL apolipoprotein B, and 33 mg/dL directly measured low-density lipoprotein cholesterol (LDL-C). Within-study regression analyses were adjusted for within-person variation and combined using meta-analysis. RESULTS: The rates of CHD per 1000 person-years in the bottom and top thirds of baseline lipid distributions, respectively, were 2.6 and 6.2 with triglyceride, 6.4 and 2.4 with HDL-C, and 2.3 and 6.7 with non-HDL-C. Adjusted HRs for CHD were 0.99 (95% CI, 0.94-1.05) with triglyceride, 0.78 (95% CI, 0.74-0.82) with HDL-C, and 1.50 (95% CI, 1.39-1.61) with non-HDL-C. Hazard ratios were at least as strong in participants who did not fast as in those who did. The HR for CHD was 0.35 (95% CI, 0.30-0.42) with a combination of 80 mg/dL lower non-HDL-C and 15 mg/dL higher HDL-C. For the subset with apolipoproteins or directly measured LDL-C, HRs were 1.50 (95% CI, 1.38-1.62) with the ratio non-HDL-C/HDL-C, 1.49 (95% CI, 1.39-1.60) with the ratio apo B/apo AI, 1.42 (95% CI, 1.06-1.91) with non-HDL-C, and 1.38 (95% CI, 1.09-1.73) with directly measured LDL-C. Hazard ratios for ischemic stroke were 1.02 (95% CI, 0.94-1.11) with triglyceride, 0.93 (95% CI, 0.84-1.02) with HDL-C, and 1.12 (95% CI, 1.04-1.20) with non-HDL-C. CONCLUSION: Lipid assessment in vascular disease can be simplified by measurement of either total and HDL cholesterol levels or apolipoproteins without the need to fast and without regard to triglyceride.
2,196 citations
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TL;DR: In addition to vascular disease, diabetes is associated with substantial premature death from several cancers, infectious diseases, external causes, intentional self-harm, and degenerative disorders, independent of several major risk factors.
Abstract: Background The extent to which diabetes mellitus or hyperglycemia is related to risk of death from cancer or other nonvascular conditions is uncertain. Methods We calculated hazard ratios for cause-specific death, according to baseline diabetes status or fasting glucose level, from individual-participant data on 123,205 deaths among 820,900 people in 97 prospective studies. Results After adjustment for age, sex, smoking status, and body-mass index, hazard ratios among persons with diabetes as compared with persons without diabetes were as follows: 1.80 (95% confidence interval [CI], 1.71 to 1.90) for death from any cause, 1.25 (95% CI, 1.19 to 1.31) for death from cancer, 2.32 (95% CI, 2.11 to 2.56) for death from vascular causes, and 1.73 (95% CI, 1.62 to 1.85) for death from other causes. Diabetes (vs. no diabetes) was moderately associated with death from cancers of the liver, pancreas, ovary, colorectum, lung, bladder, and breast. Aside from cancer and vascular disease, diabetes (vs. no diabetes) was also associated with death from renal disease, liver disease, pneumonia and other infectious diseases, mental disorders, nonhepatic digestive diseases, external causes, intentional selfharm, nervous-system disorders, and chronic obstructive pulmonary disease. Hazard ratios were appreciably reduced after further adjustment for glycemia measures, but not after adjustment for systolic blood pressure, lipid levels, inflammation or renal markers. Fasting glucose levels exceeding 100 mg per deciliter (5.6 mmol per liter), but not levels of 70 to 100 mg per deciliter (3.9 to 5.6 mmol per liter), were associated with death. A 50-year-old with diabetes died, on average, 6 years earlier than a counterpart without diabetes, with about 40% of the difference in survival attributable to excess nonvascular deaths. Conclusions In addition to vascular disease, diabetes is associated with substantial premature death from several cancers, infectious diseases, external causes, intentional selfharm, and degenerative disorders, independent of several major risk factors. (Funded by the British Heart Foundation and others.)
2,170 citations
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TL;DR: CRP concentration has continuous associations with the risk of coronary heart disease, ischaemic stroke, vascular mortality, and death from several cancers and lung disease that are each of broadly similar size.
1,996 citations
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University of Cambridge1, Harvard University2, Peking University3, National Institutes of Health4, University of Oxford5, Curtin University6, Australian National University7, Imperial College London8, American Cancer Society9, University of Southern California10, Johns Hopkins University11, University of Sydney12, Vanderbilt University13, Chinese Center for Disease Control and Prevention14, University of Bristol15, Capital Medical University16, Erasmus University Rotterdam17, Yonsei University18, Fred Hutchinson Cancer Research Center19, University of Turin20, University of Glasgow21, University of North Carolina at Chapel Hill22, Shiga University of Medical Science23, Innsbruck Medical University24, International Agency for Research on Cancer25, University of Hong Kong26, Massey University27
TL;DR: The associations of both overweight and obesity with higher all-cause mortality were broadly consistent in four continents and supports strategies to combat the entire spectrum of excess adiposity in many populations.
1,731 citations
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TL;DR: In this paper, the authors estimated deaths and disability-adjusted life years (DALYs; sum of years lived with disability [YLD] and years of life lost [YLL]) attributable to the independent effects of 67 risk factors and clusters of risk factors for 21 regions in 1990 and 2010.
9,324 citations
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University of Washington1, Sapienza University of Rome2, Mekelle University3, University of Texas at San Antonio4, King Saud bin Abdulaziz University for Health Sciences5, Debre markos University6, Emory University7, University of Oxford8, University of Cartagena9, United Nations Population Fund10, University of Birmingham11, Stanford University12, Aga Khan University13, University of Melbourne14, National Taiwan University15, University of Cambridge16, University of California, San Diego17, Public Health Foundation of India18, Public Health England19, University of Peradeniya20, Harvard University21, National Institutes of Health22, Tehran University of Medical Sciences23, Auckland University of Technology24, University of Sheffield25, University of Western Australia26, Karolinska Institutet27, Birzeit University28, Brandeis University29, American Cancer Society30, Ochsner Medical Center31, Yonsei University32, University of Bristol33, Heidelberg University34, Vanderbilt University35, South African Medical Research Council36, Jordan University of Science and Technology37, New Generation University College38, Northeastern University39, Simmons College40, Norwegian Institute of Public Health41, Boston University42, Chinese Center for Disease Control and Prevention43, University of Bari44, University of São Paulo45, University of Otago46, University of Crete47, International Centre for Diarrhoeal Disease Research, Bangladesh48, Fred Hutchinson Cancer Research Center49, Teikyo University50, Bhabha Atomic Research Centre51, University of Tokyo52, Finnish Institute of Occupational Health53, Heriot-Watt University54, University of Alabama at Birmingham55, Griffith University56, National Center for Disease Control and Public Health57, University of California, Irvine58, Johns Hopkins University59, New York University60, University of Queensland61, Universidade Federal de Minas Gerais62, National Research University – Higher School of Economics63, University of Bergen64, Columbia University65, Shandong University66, University of North Carolina at Chapel Hill67, Fujita Health University68, Korea University69, Chongqing Medical University70, Zhejiang University71
TL;DR: The global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013 is estimated using a spatiotemporal Gaussian process regression model to estimate prevalence with 95% uncertainty intervals (UIs).
9,180 citations
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TL;DR: Patients with type 2 diabetes at high risk for cardiovascular events who received empagliflozin, as compared with placebo, had a lower rate of the primary composite cardiovascular outcome and of death from any cause when the study drug was added to standard care.
Abstract: BACKGROUND The effects of empagliflozin, an inhibitor of sodium–glucose cotransporter 2, in addition to standard care, on cardiovascular morbidity and mortality in patients with type 2 diabetes at high cardiovascular risk are not known. METHODS We randomly assigned patients to receive 10 mg or 25 mg of empagliflozin or placebo once daily. The primary composite outcome was death from cardiovascular causes, nonfatal myocardial infarction, or nonfatal stroke, as analyzed in the pooled empagliflozin group versus the placebo group. The key secondary composite outcome was the primary outcome plus hospitalization for unstable angina. RESULTS A total of 7020 patients were treated (median observation time, 3.1 years). The primary outcome occurred in 490 of 4687 patients (10.5%) in the pooled empagliflozin group and in 282 of 2333 patients (12.1%) in the placebo group (hazard ratio in the empagliflozin group, 0.86; 95.02% confidence interval, 0.74 to 0.99; P = 0.04 for superiority). There were no significant between-group differences in the rates of myocardial infarction or stroke, but in the empagliflozin group there were significantly lower rates of death from cardiovascular causes (3.7%, vs. 5.9% in the placebo group; 38% relative risk reduction), hospitalization for heart failure (2.7% and 4.1%, respectively; 35% relative risk reduction), and death from any cause (5.7% and 8.3%, respectively; 32% relative risk reduction). There was no significant between-group difference in the key secondary outcome (P = 0.08 for superiority). Among patients receiving empagliflozin, there was an increased rate of genital infection but no increase in other adverse events. CONCLUSIONS Patients with type 2 diabetes at high risk for cardiovascular events who received empagliflozin, as compared with placebo, had a lower rate of the primary composite cardiovascular outcome and of death from any cause when the study drug was added to standard care. (Funded by Boehringer Ingelheim and Eli Lilly; EMPA-REG OUTCOME ClinicalTrials.gov number, NCT01131676.)
7,705 citations
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TL;DR: In this paper, a randomized clinical trial was conducted to evaluate the effect of preterax and Diamicron Modified Release Controlled Evaluation (MDE) on the risk of stroke.
Abstract: ABI
: ankle–brachial index
ACCORD
: Action to Control Cardiovascular Risk in Diabetes
ADVANCE
: Action in Diabetes and Vascular Disease: Preterax and Diamicron Modified Release Controlled Evaluation
AGREE
: Appraisal of Guidelines Research and Evaluation
AHA
: American Heart Association
apoA1
: apolipoprotein A1
apoB
: apolipoprotein B
CABG
: coronary artery bypass graft surgery
CARDS
: Collaborative AtoRvastatin Diabetes Study
CCNAP
: Council on Cardiovascular Nursing and Allied Professions
CHARISMA
: Clopidogrel for High Athero-thrombotic Risk and Ischemic Stabilisation, Management, and Avoidance
CHD
: coronary heart disease
CKD
: chronic kidney disease
COMMIT
: Clopidogrel and Metoprolol in Myocardial Infarction Trial
CRP
: C-reactive protein
CURE
: Clopidogrel in Unstable Angina to Prevent Recurrent Events
CVD
: cardiovascular disease
DALYs
: disability-adjusted life years
DBP
: diastolic blood pressure
DCCT
: Diabetes Control and Complications Trial
ED
: erectile dysfunction
eGFR
: estimated glomerular filtration rate
EHN
: European Heart Network
EPIC
: European Prospective Investigation into Cancer and Nutrition
EUROASPIRE
: European Action on Secondary and Primary Prevention through Intervention to Reduce Events
GFR
: glomerular filtration rate
GOSPEL
: Global Secondary Prevention Strategies to Limit Event Recurrence After MI
GRADE
: Grading of Recommendations Assessment, Development and Evaluation
HbA1c
: glycated haemoglobin
HDL
: high-density lipoprotein
HF-ACTION
: Heart Failure and A Controlled Trial Investigating Outcomes of Exercise TraiNing
HOT
: Hypertension Optimal Treatment Study
HPS
: Heart Protection Study
HR
: hazard ratio
hsCRP
: high-sensitivity C-reactive protein
HYVET
: Hypertension in the Very Elderly Trial
ICD
: International Classification of Diseases
IMT
: intima-media thickness
INVEST
: International Verapamil SR/Trandolapril
JTF
: Joint Task Force
LDL
: low-density lipoprotein
Lp(a)
: lipoprotein(a)
LpPLA2
: lipoprotein-associated phospholipase 2
LVH
: left ventricular hypertrophy
MATCH
: Management of Atherothrombosis with Clopidogrel in High-risk Patients with Recent Transient Ischaemic Attack or Ischaemic Stroke
MDRD
: Modification of Diet in Renal Disease
MET
: metabolic equivalent
MONICA
: Multinational MONItoring of trends and determinants in CArdiovascular disease
NICE
: National Institute of Health and Clinical Excellence
NRT
: nicotine replacement therapy
NSTEMI
: non-ST elevation myocardial infarction
ONTARGET
: Ongoing Telmisartan Alone and in combination with Ramipril Global Endpoint Trial
OSA
: obstructive sleep apnoea
PAD
: peripheral artery disease
PCI
: percutaneous coronary intervention
PROactive
: Prospective Pioglitazone Clinical Trial in Macrovascular Events
PWV
: pulse wave velocity
QOF
: Quality and Outcomes Framework
RCT
: randomized clinical trial
RR
: relative risk
SBP
: systolic blood pressure
SCORE
: Systematic Coronary Risk Evaluation Project
SEARCH
: Study of the Effectiveness of Additional Reductions in Cholesterol and
SHEP
: Systolic Hypertension in the Elderly Program
STEMI
: ST-elevation myocardial infarction
SU.FOL.OM3
: SUpplementation with FOlate, vitamin B6 and B12 and/or OMega-3 fatty acids
Syst-Eur
: Systolic Hypertension in Europe
TNT
: Treating to New Targets
UKPDS
: United Kingdom Prospective Diabetes Study
VADT
: Veterans Affairs Diabetes Trial
VALUE
: Valsartan Antihypertensive Long-term Use
VITATOPS
: VITAmins TO Prevent Stroke
VLDL
: very low-density lipoprotein
WHO
: World Health Organization
### 1.1 Introduction
Atherosclerotic cardiovascular disease (CVD) is a chronic disorder developing insidiously throughout life and usually progressing to an advanced stage by the time symptoms occur. It remains the major cause of premature death in Europe, even though CVD mortality has …
7,482 citations
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TL;DR: WRITING GROUP MEMBERS Emelia J. Benjamin, MD, SCM, FAHA Michael J. Reeves, PhD Matthew Ritchey, PT, DPT, OCS, MPH Carlos J. Jiménez, ScD, SM Lori Chaffin Jordan,MD, PhD Suzanne E. Judd, PhD
Abstract: WRITING GROUP MEMBERS Emelia J. Benjamin, MD, SCM, FAHA Michael J. Blaha, MD, MPH Stephanie E. Chiuve, ScD Mary Cushman, MD, MSc, FAHA Sandeep R. Das, MD, MPH, FAHA Rajat Deo, MD, MTR Sarah D. de Ferranti, MD, MPH James Floyd, MD, MS Myriam Fornage, PhD, FAHA Cathleen Gillespie, MS Carmen R. Isasi, MD, PhD, FAHA Monik C. Jiménez, ScD, SM Lori Chaffin Jordan, MD, PhD Suzanne E. Judd, PhD Daniel Lackland, DrPH, FAHA Judith H. Lichtman, PhD, MPH, FAHA Lynda Lisabeth, PhD, MPH, FAHA Simin Liu, MD, ScD, FAHA Chris T. Longenecker, MD Rachel H. Mackey, PhD, MPH, FAHA Kunihiro Matsushita, MD, PhD, FAHA Dariush Mozaffarian, MD, DrPH, FAHA Michael E. Mussolino, PhD, FAHA Khurram Nasir, MD, MPH, FAHA Robert W. Neumar, MD, PhD, FAHA Latha Palaniappan, MD, MS, FAHA Dilip K. Pandey, MBBS, MS, PhD, FAHA Ravi R. Thiagarajan, MD, MPH Mathew J. Reeves, PhD Matthew Ritchey, PT, DPT, OCS, MPH Carlos J. Rodriguez, MD, MPH, FAHA Gregory A. Roth, MD, MPH Wayne D. Rosamond, PhD, FAHA Comilla Sasson, MD, PhD, FAHA Amytis Towfighi, MD Connie W. Tsao, MD, MPH Melanie B. Turner, MPH Salim S. Virani, MD, PhD, FAHA Jenifer H. Voeks, PhD Joshua Z. Willey, MD, MS John T. Wilkins, MD Jason HY. Wu, MSc, PhD, FAHA Heather M. Alger, PhD Sally S. Wong, PhD, RD, CDN, FAHA Paul Muntner, PhD, MHSc On behalf of the American Heart Association Statistics Committee and Stroke Statistics Subcommittee Heart Disease and Stroke Statistics—2017 Update
7,190 citations