Association of plasma uric acid with ischemic heart disease and blood pressure:
|
|
|
- Adrian Phelps
- 5 years ago
- Views:
Transcription
1 Association of plasma uric acid with ischemic heart disease and blood pressure: Mendelian randomization analysis of two large cohorts. Tom M Palmer, Børge G Nordestgaard, DSc; Marianne Benn, Anne Tybjærg-Hansen, George Davey Smith, Debbie A Lawlor, Nicholas J Timpson. Supplementary material Correspondence to Nicholas John Timpson, Medical Research Council Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol UK, BS8 2BN. Fax: , Tel: , n.j.timpson@bristol.ac.uk.
2 Supplementary Table 1. Means and standard deviations of body mass index (kg/m 2 ) by 5 year age band and sex used to generate standardized BMI (Z-scores) in the and. Male Female Male Female 5 year age band Mean (SD) Mean (SD) Mean (SD) Mean (SD) (3.7) 23.7 (4.8) 23.2 (2.7) 22.6 (3.0) (3.9) 24.1 (4.4) 23.6 (2.9) 22.3 (2.9) (3.7) 24.3 (4.3) 24.3 (3.3) 23.0 (3.8) (3.6) 24.5 (4.7) 23.8 (3.4) 22.7 (3.5) (3.6) 25.0 (4.5) 24.2 (3.6) 22.4 (3.5) (3.9) 25.2 (4.6) 24.4 (3.5) 23.1 (4.2) (3.8) 25.4 (4.4) 24.9 (3.7) 23.5 (4.0) (3.9) 26.0 (4.9) 25.3 (3.7) 24.1 (4.5) (3.9) 26.0 (4.6) 25.5 (3.7) 23.9 (4.2) (3.7) 26.3 (4.7) 25.7 (3.4) 24.5 (3.9) (3.7) 26.6 (4.5) 26.0 (3.5) 24.0 (4.0) (3.6) 26.3 (4.4) 26.3 (3.3) 24.7 (3.8) (3.5) 26.1 (4.3) 25.9 (3.0) 24.7 (3.8) (3.3) 25.5 (4.2) 25.3 (2.8) 24.8 (3.8) Overall 26.9 (3.8) 25.7 (4.6) 25.3 (3.5) 23.9 (4.0) : Copenhagen General Population Study; : Copenhagen City Heart Study; SD: standard deviation.
3 Supplementary Table 2. Associations of SLC2A9(rs ) genotype with potential confounders. GG AG AA P for trend* Coefficient/OR (95% CI) N 2,493 (4%) 19,322 (33%) 36,257 (62%) Age, yr 56.7 (56.2, 57.2) 57.1 (56.9, 57.3) 57.1 (57.0, 57.7) (-0.08, 0.30) Male 1,098 (44%) 8,731 (45%) 16,092 (44%) (0.96, 1.01) Ever smoked 1,526 (61%) 11,520 (60%) 21,798 (60%) (0.97, 1.03) Education (0.97, 1.02) Income (0.96, 1.01) Body mass index, kg/m (26.2, 26.5) 26.2 (26.1, 26.3) 26.2 (26.2, 26.3) (-0.07, 0.05) N, % 454 (4%) 3,534 (33%) 6,614 (62%) Age, yr 59.8 (58.3, 61.3) 60.5 (59.9, 61.0) 60.4 (60.0, 60.8) (-0.44, 0.62) Male 190 (42%) 1,583 (45%) 2,879 (44%) (0.92, 1.05) Ever smoked 235 (52%) 1,918 (55%) 3,670 (56%) (0.99, 1.14) Education (0.94, 1.07) Income (1.00, 1.14) Body mass index, kg/m (24.4, 25.1) 24.5 (24.4, 24.7) 24.5 (24.4, 24.6) (-0.20, 0.06) Continuous values given as means (95% CI), binary variables given as N (%), categorical variables given as mean category. Odds ratios for Education and Income from ordered logistic regression. *In row N P for trend is P for Hardy-Weinberg Equilibrium. Assuming an additive model for SLC2A9 genotype. Estimate is coefficient for age, and odds ratios for male, ever smoked, education, and income. Education coded 1,2,3 indicating <10, 10-13, >13 years of education. Income coded 1,2,3,4 indicating <100,000kr, 100, ,000kr, 400, ,000kr,>600,000kr per year. : Copenhagen General Population Study; : Copenhagen City Heart Study; CI: confidence interval; OR: odds ratio.
4 Supplementary Table 3. Associations of potential confounders with outcomes. (N max =58,072) (N max =10,602) Ischemic heart disease HR (95% CI) HR (95% CI) Age, yr 2.87 (2.82, 2.92) 1.15 (1.14, 1.17) Male 1.87 (1.77, 1.98) 1.77 (1.62, 1.92) Ever smoked 1.61 (1.51, 1.72) 1.42 (1.30, 1.55) Education 0.65 (0.62, 0.69) 0.69 (0.63, 0.75) Income 0.62 (0.59, 0.65) 0.88 (0.83, 0.94) Diastolic blood pressure Coefficient (95% CI) Coefficient (95% CI) (mmhg) Age, yr 0.14 (0.13, 0.15) 0.21 (0.20, 0.23) Male 3.53 (3.32, 3.74) 4.62 (4.17, 5.08) Ever smoked 0.12 (-0.10, 0.33) (-1.11, -0.19) Education (-1.93, 1.61) (-3.65, -2.99) Income (-0.60, -0.33) 0.47 (0.15, 0.78) Systolic blood pressure (mmhg) Coefficient (95% CI) Coefficient (95% CI) Age, yr 0.68 (0.66, 0.69) 0.41 (0.39, 0.43) Male 5.44 (5.05, 5.83) 6.59 (5.89, 7.29) Ever smoked 1.16 (0.76, 1.56) (-1.63, -0.21) Education (-7.60, 7.02) (-5.70, -4.69) Income (-5.47, -4.97) (-1.07, -0.11) Body mass index (kg/m 2 ) Coefficient (95% CI) Coefficient (95% CI) Age, yr (-0.002, 0.003) (-0.004, 0.005) Male 0.00 (-0.066, 0.066) 0.00 (-0.15, 0.15) Ever smoked 0.08 (0.01, 0.15) (-0.83, -0.53) Education (-0.65, -0.56) (-0.84, -0.62) Income (-0.49, -0.41) (-0.22, -0.01) : Copenhagen General Population Study; : Copenhagen City Heart Study; CI: confidence interval; HR: hazard ratio. Education coded 1,2,3 indicating <10, 10-13, >13 years of education. Income coded 1,2,3,4 indicating <100,000kr, 100, ,000kr, 400, ,000kr,>600,000kr per year.
5 Supplementary Table 4. Associations of potential confounders with exposures (standardized uric acid and hyperuricemia). (N max =58,072) (N max =10,602) Standardized uric acid Coefficient (95% CI) Coefficient (95% CI) Age, yr (0.01, 0.01) (0.008, 0.010) Male 1.02 (1.01, 1.04) 0.84 (0.81, 0.88) Ever smoked 0.16 (0.15, 0.18) 0.11 (0.07, 0.14) Education (-0.22, -0.19) (-0.19, -0.13) Income (-0.09, -0.07) 0.02 (-0.00, 0.05) Body mass index, kg/m (0.068, 0.072) (0.038, 0.048) Hyperuricemia OR (95% CI) OR (95% CI) Age, yr (1.03, 1.03) 1.02 (1.01, 1.02) Male 6.56 (6.16, 6.98) 4.68 (4.14, 5.29) Ever smoked 1.48 (1.40, 1.56) 1.12 (1.00, 1.25) Education 0.67 (0.65, 0.70) 0.77 (0.71, 0.83) Income 0.80 (0.77, 0.82) 1.08 (1.00, 1.16) Body mass index, kg/m (1.13, 1.14) 1.08 (1.07, 1.09) : Copenhagen General Population Study; : Copenhagen City Heart Study; CI: confidence interval; OR: odds ratio. Education coded 1,2,3 indicating <10, 10-13, >13 years of education. Income coded 1,2,3,4 indicating <100,000kr, 100, ,000kr, 400, ,000kr,>600,000kr per year.
6 Supplementary Figure 1. Forest plots of observational and instrumental variable estimates of A) the effect of standardized urate and B) the effect of hyperuricemia status on ischemic heart disease using incident cases only. A Hazard ratio (95% CI) B Hazard ratio (95% CI) 1.28 (1.22, 1.34) 1.25 (1.20, 1.32) 1.27 (1.22, 1.31) 1.74 (1.54, 1.97) 1.51 (1.34, 1.71) 1.62 (1.49, 1.77) adjusted 1.20 (1.14, 1.26) 1.17 (1.11, 1.24) 1.19 (1.14, 1.23) adjusted 1.53 (1.35, 1.74) 1.32 (1.17, 1.50) 1.42 (1.30, 1.56) 0.89 (0.65, 1.23) 0.84 (0.60, 1.17) 0.87 (0.69, 1.09) 0.46 (0.05, 4.25) 0.39 (0.07, 2.34) 0.42 (0.10, 1.68) Hazard ratio for IHD (log scale) per 0.09 mmol/l increase in uric acid Hazard ratio for IHD (log scale) adjusted estimates adjusted for age, sex, smoking, education, and income. : Copenhagen General Population Study; : Copenhagen City Heart Study; CI: confidence interval.
7 Supplementary Figure 2. Forest plots of observational and instrumental variable estimates of A) the effect of standardized urate and B) the effect of hyperuricemia status on diastolic blood pressure (mmhg). A B 2.30 (2.20, 2.41) 2.97 (2.74, 3.19) 2.42 (2.32, 2.51) 4.32 (3.99, 4.65) 5.67 (5.03, 6.31) 4.61 (4.31, 4.90) adjusted 1.51 (1.38, 1.63) 1.74 (1.50, 1.99) 1.56 (1.45, 1.67) adjusted 2.49 (2.15, 2.83) 3.24 (2.61, 3.87) 2.66 (2.36, 2.96) 0.43 (-0.29, 1.16) 1.57 (-0.05, 3.19) 0.63 (-0.04, 1.29) 3.16 (-2.13, 8.46) 8.55 (-0.37, 17.47) 4.56 (0.01, 9.12) Mean increase in diastolic blood pressure (mmhg) per 0.09 mmol/l increase in uric acid Mean increase in diastolic blood pressure (mmhg) adjusted estimates adjusted for age, sex, smoking, education, and income. : Copenhagen General Population Study; : Copenhagen City Heart Study; CI: confidence interval.
8 Supplementary Figure 3. Forest plots of observational and instrumental variable estimates of A) the effect of standardized urate and B) the effect of hyperuricemia status on systolic blood pressure (mmhg). A B 5.12 (4.93, 5.31) 4.48 (4.13, 4.83) 4.97 (4.80, 5.14) 9.91 (9.29, 10.53) 8.62 (7.63, 9.60) 9.54 (9.02, 10.07) adjusted 2.91 (2.69, 3.12) 2.47 (2.10, 2.84) 2.80 (2.61, 2.98) adjusted 4.91 (4.31, 5.50) 4.77 (3.82, 5.72) 4.87 (4.37, 5.37) 0.68 (-0.68, 2.04) 0.57 (-1.97, 3.10) 0.65 (-0.54, 1.85) 4.94 (-4.94, 14.82) 3.08 (-10.67, 16.84) 4.31 (-3.72, 12.33) Mean increase in systolic blood pressure (mmhg) per 0.09 mmol/l increase in uric acid Mean increase in systolic blood pressure (mmhg) adjusted estimates adjusted for age, sex, smoking, education, and income. : Copenhagen General Population Study; : Copenhagen City Heart Study; CI: confidence interval.
9 Uric acid (mmol/l) Supplementary Figure 4. Mean uric acid by SLC2A9(rs ) genotype in the Copenhagen General Population Study () and Copenhagen City Heart Study (). Means (points), 95% confidence intervals (bars). GG AG AA SLC2A9 (rs ) genotypes
10 Supplementary Figure 5. Forest plots of observational and instrumental variable estimates of A) the effect of standardized urate and B) the effect of hyperuricemia status on body mass index (kg/m 2 ). A B 1.12 (1.09, 1.16) 0.68 (0.61, 0.76) 1.06 (1.03, 1.09) 2.39 (2.29, 2.49) 1.35 (1.14, 1.57) 2.21 (2.12, 2.30) adjusted 1.55 (1.51, 1.59) 0.83 (0.75, 0.92) 1.43 (1.40, 1.47) adjusted 2.53 (2.42, 2.63) 1.42 (1.20, 1.64) 2.33 (2.23, 2.42) (-0.26, 0.18) (-0.63, 0.47) (-0.25, 0.16) (-1.72, 1.21) (-3.41, 2.58) (-1.60, 1.03) Mean increase in BMI (kg/m 2 ) per 0.09 mmol/l increase in uric acid Mean increase in BMI (kg/m 2 ) adjusted estimates adjusted for age, sex, smoking, education, and income. : Copenhagen General Population Study; : Copenhagen City Heart Study; CI: confidence interval.
(n=6279). Continuous variables are reported as mean with 95% confidence interval and T1 T2 T3. Number of subjects
Table 1. Distribution of baseline characteristics across tertiles of OPG adjusted for age and sex (n=6279). Continuous variables are reported as mean with 95% confidence interval and categorical values
Supplementary Table 1. The distribution of IFNL rs and rs and Hardy-Weinberg equilibrium Genotype Observed Expected X 2 P-value* CHC
Supplementary Table 1. The distribution of IFNL rs12979860 and rs8099917 and Hardy-Weinberg equilibrium Genotype Observed Expected X 2 P-value* CHC rs12979860 (n=3129) CC 1127 1145.8 CT 1533 1495.3 TT
Supplementary Online Content
Supplementary Online Content Pedersen SB, Langsted A, Nordestgaard BG. Nonfasting mild-to-moderate hypertriglyceridemia and risk of acute pancreatitis. JAMA Intern Med. Published online November 7, 2016.
SUPPLEMENTAL MATERIAL
SUPPLEMENTAL MATERIAL Supplemental Table 1. Distribution of Participants Characteristics by Treatment Group at Baseline - The Vitamin D and calcium (CaD) Trial of the Women s Health Initiative (WHI) Study,
SUPPLEMENTARY DATA. Supplementary Figure S1. Cohort definition flow chart.
Supplementary Figure S1. Cohort definition flow chart. Supplementary Table S1. Baseline characteristics of study population grouped according to having developed incident CKD during the follow-up or not
Supplementary Table 1. Association of rs with risk of obesity among participants in NHS and HPFS
Supplementary Table 1. Association of rs3826795 with risk of obesity among participants in NHS and HPFS Case/control NHS (1990) HPFS (1996) OR (95% CI) P- value Case/control OR (95% CI) P- value Obesity
Supplementary Material. Serum Chloride is an Independent Predictor of Mortality in Hypertensive Patients
Supplementary Material Serum Chloride is an Independent Predictor of Mortality in Hypertensive Patients Linsay McCallum,* Panniyammakal Jeemon,* Claire E Hastie, Rajan K Patel, Catherine Williamson, Adyani
Seroepidemiological associations between high density lipoprotein and abdominal aortic aneurysms
Seroepidemiological associations between high density lipoprotein and abdominal aortic aneurysms Jes S. Lindholt(1,2), Elena Burillo (3), Jesper Laustsen(4), Jose Luis Ventura-Martin(3) Department of Thoracic,
CONTENT SUPPLEMENTARY FIGURE E. INSTRUMENTAL VARIABLE ANALYSIS USING DESEASONALISED PLASMA 25-HYDROXYVITAMIN D. 7
CONTENT FIGURES 3 SUPPLEMENTARY FIGURE A. NUMBER OF PARTICIPANTS AND EVENTS IN THE OBSERVATIONAL AND GENETIC ANALYSES. 3 SUPPLEMENTARY FIGURE B. FLOWCHART SHOWING THE SELECTION PROCESS FOR DETERMINING
The Effect of Elevated Body Mass Index on Ischemic Heart Disease Risk: Causal Estimates from a Mendelian Randomisation Approach
The Effect of Elevated Body Mass Index on Ischemic Heart Disease Risk: Causal Estimates from a Mendelian Randomisation Approach Børge G. Nordestgaard 1,2,3,4. *, Tom M. Palmer 5,6., Marianne Benn 1,2,4,
Mendelian Randomisation and Causal Inference in Observational Epidemiology. Nuala Sheehan
Mendelian Randomisation and Causal Inference in Observational Epidemiology Nuala Sheehan Department of Health Sciences UNIVERSITY of LEICESTER MRC Collaborative Project Grant G0601625 Vanessa Didelez,
Supplementary Online Content
Supplementary Online Content Lyall DM, Celis-Morales C, Ward J, et al. Association of body mass index with cardiometabolic disease in the UK Biobank: a mendelian randomization study. JAMA Cardiol. Published
Remnant Cholesterol, Low-Density Lipoprotein Cholesterol, and Blood Pressure as Mediators from Obesity to Ischemic Heart Disease
Remnant Cholesterol, Low-Density Lipoprotein Cholesterol, and Blood Pressure as Mediators from Obesity to Ischemic Heart Disease Anette Varbo 1,2,3, Marianne Benn 2,3,4, George Davey Smith 5,6, Nicholas
Relationships between adiposity and left ventricular function in adolescents: mediation by blood pressure and other cardiovascular measures
Relationships between adiposity and left ventricular function in adolescents: mediation by blood pressure and other cardiovascular measures H Taylor 1, C M Park 1, L Howe 2, A Fraser 2 D Lawlor 2, G Davey
ASSOCIATION OF KCNJ1 VARIATION WITH CHANGE IN FASTING GLUCOSE AND NEW ONSET DIABETES DURING HCTZ TREATMENT
ONLINE SUPPLEMENT ASSOCIATION OF KCNJ1 VARIATION WITH CHANGE IN FASTING GLUCOSE AND NEW ONSET DIABETES DURING HCTZ TREATMENT Jason H Karnes, PharmD 1, Caitrin W McDonough, PhD 1, Yan Gong, PhD 1, Teresa
Supplemental Table 1 Age and gender-specific cut-points used for MHO.
Supplemental Table 1 Age and gender-specific cut-points used for MHO. Age SBP (mmhg) DBP (mmhg) HDL-C (mmol/l) TG (mmol/l) FG (mmol/l) Boys 6-11 90th * 90th * 1.03 1.24 5.6 12 121 76 1.13 1.44 5.6 13 123
SUPPLEMENTARY DATA. 1. Characteristics of individual studies
1. Characteristics of individual studies 1.1. RISC (Relationship between Insulin Sensitivity and Cardiovascular disease) The RISC study is based on unrelated individuals of European descent, aged 30 60
Magnetic resonance imaging, image analysis:visual scoring of white matter
Supplemental method ULSAM Magnetic resonance imaging, image analysis:visual scoring of white matter hyperintensities (WMHI) was performed by a neuroradiologist using a PACS system blinded of baseline data.
Coronary heart disease risk prediction in the Atherosclerosis Risk in Communities (ARIC) study
Coronary heart disease risk prediction in the Atherosclerosis Risk in Communities (ARIC) study A. Attached below are the beta coefficients from the Cox regression models for the full models presented in
Epidemiologic Measure of Association
Measures of Disease Occurrence: Epidemiologic Measure of Association Basic Concepts Confidence Interval for population characteristic: Disease Exposure Present Absent Total Yes A B N 1 = A+B No C D N 2
Clinical Track. Remnant Cholesterol, Low-Density Lipoprotein Cholesterol, and Blood Pressure as Mediators From Obesity to Ischemic Heart Disease
Clinical Track Remnant Cholesterol, Low-Density Lipoprotein Cholesterol, and Blood Pressure as Mediators From Obesity to Ischemic Heart Disease Anette Varbo, Marianne Benn, George Davey Smith, Nicholas
The Whitehall II study originally comprised 10,308 (3413 women) individuals who, at
Supplementary notes on Methods The study originally comprised 10,308 (3413 women) individuals who, at recruitment in 1985/8, were London-based government employees (civil servants) aged 35 to 55 years.
Epidemiology and Prevention
Epidemiology and Prevention Associations of Pregnancy Complications With Calculated Cardiovascular Disease Risk and Cardiovascular Risk Factors in Middle Age The Avon Longitudinal Study of Parents and
PCSK9 R46L, Low-Density Lipoprotein Cholesterol Levels, and Risk of Ischemic Heart Disease
Journal of the American College of Cardiology Vol. 55, No. 25, 2010 2010 by the American College of Cardiology Foundation ISSN 0735-1097/$36.00 Published by Elsevier Inc. doi:10.1016/j.jacc.2010.02.044
Supplementary Online Content
Supplementary Online Content Xu X, Qin X, Li Y, et al. Efficacy of folic acid therapy on the progression of chronic kidney disease: the Renal Substudy of the China Stroke Primary Prevention Trial. JAMA
Zhengtao Liu 1,2,3*, Shuping Que 4*, Lin Zhou 1,2,3 Author affiliation:
Dose-response Relationship of Serum Uric Acid with Metabolic Syndrome and Non-alcoholic Fatty Liver Disease Incidence: AMeta-analysis of Prospective Studies Zhengtao Liu 1,2,3*, Shuping Que 4*, Lin Zhou
Supplementary Appendix
Supplementary Appendix This appendix has been provided by the authors to give readers additional information about their work. Supplement to: Weintraub WS, Grau-Sepulveda MV, Weiss JM, et al. Comparative
Vascular Diseases. Overview: Selected Slides
Vascular Diseases Overview: Selected Slides Total deaths and change in vascular death rates
MATERNAL INFLUENCES ON OFFSPRING S EPIGENETIC AND LATER BODY COMPOSITION
Institute of Medicine & National Research Council Food and Nutrition Board & Board on Children, Youth & Families Examining a Developmental Approach to Childhood Obesity: The Fetal & Early Childhood Years
Table S1. Characteristics associated with frequency of nut consumption (full entire sample; Nn=4,416).
Table S1. Characteristics associated with frequency of nut (full entire sample; Nn=4,416). Daily nut Nn= 212 Weekly nut Nn= 487 Monthly nut Nn= 1,276 Infrequent or never nut Nn= 2,441 Sex; n (%) men 52
SGRQ Questionnaire assessing respiratory disease-specific quality of life. Questionnaire assessing general quality of life
SUPPLEMENTARY MATERIAL e-table 1: Outcomes studied in present analysis. Outcome Abbreviation Definition Nature of data, direction indicating adverse effect (continuous only) Clinical outcomes- subjective
Table S1. Read and ICD 10 diagnosis codes for polymyalgia rheumatica and giant cell arteritis
SUPPLEMENTARY MATERIAL TEXT Text S1. Multiple imputation TABLES Table S1. Read and ICD 10 diagnosis codes for polymyalgia rheumatica and giant cell arteritis Table S2. List of drugs included as immunosuppressant
GALECTIN-3 PREDICTS LONG TERM CARDIOVASCULAR DEATH IN HIGH-RISK CORONARY ARTERY DISEASE PATIENTS
GALECTIN-3 PREDICTS LONG TERM CARDIOVASCULAR DEATH IN HIGH-RISK CORONARY ARTERY DISEASE PATIENTS Table of Contents List of authors pag 2 Supplemental figure I pag 3 Supplemental figure II pag 4 Supplemental
programme. The DE-PLAN follow up.
What are the long term results and determinants of outcomes in primary health care diabetes prevention programme. The DE-PLAN follow up. Aleksandra Gilis-Januszewska, Noël C Barengo, Jaana Lindström, Ewa
Non-fasting lipids and risk of cardiovascular disease in patients with diabetes mellitus
Diabetologia (2011) 54:73 77 DOI 10.1007/s00125-010-1945-z SHORT COMMUNICATION Non-fasting lipids and risk of cardiovascular disease in patients with diabetes mellitus S. van Dieren & U. Nöthlings & Y.
Supplementary Online Content
Supplementary Online Content Schnabel RB, Aspelund T, Li G, et al. Validation of an atrial fibrillation risk algorithm in whites and African Americans. Arch Intern Med. 2010;170(21):1909-1917. eappendix.
Letter to the Editor. Association of TCF7L2 and GCG Gene Variants with Insulin Secretion, Insulin Resistance, and Obesity in New-onset Diabetes *
814 Biomed Environ Sci, 2016; 29(11): 814-817 Letter to the Editor Association of TCF7L2 and GCG Gene Variants with Insulin Secretion, Insulin Resistance, and Obesity in New-onset Diabetes * ZHANG Lu 1,^,
Appendix: Supplementary tables [posted as supplied by author]
![Appendix: Supplementary tables [posted as supplied by author]](/thumbs/85/92772412.jpg "Appendix: Supplementary tables [posted as supplied by author]")
Appendix: Supplementary tables [posted as supplied by author] Table A. Hazard ratios and 95% confidence intervals for the associations between subtypes of opium use in relation to overall mortality Opium
Serum levels of galectin-1, galectin-3, and galectin-9 are associated with large artery atherosclerotic
Supplementary Information The title of the manuscript Serum levels of galectin-1, galectin-3, and galectin-9 are associated with large artery atherosclerotic stroke Xin-Wei He 1, Wei-Ling Li 1, Cai Li
Controlling Bias & Confounding
Controlling Bias & Confounding Chihaya Koriyama August 5 th, 2015 QUESTIONS FOR BIAS Key concepts Bias Should be minimized at the designing stage. Random errors We can do nothing at Is the nature the of
Supplemental table 1. Dietary sources of protein among 2441 men from the Kuopio Ischaemic Heart Disease Risk Factor Study MEAT DAIRY OTHER ANIMAL
ONLINE DATA SUPPLEMENT 1 SUPPLEMENTAL MATERIAL Pork Bacon Turkey Kidney Cream Cottage cheese Mutton and lamb Game (elk, reindeer) Supplemental table 1. Dietary sources of protein among 2441 men from the
Echocardiographic Correlates of Pulmonary Artery Systolic Pressure
Echocardiographic Correlates of Pulmonary Artery Systolic Pressure The Role of Left Ventricular Diastolic Function Yoram Agmon MD, Shemy Carasso MD, Diab Mutlak MD, Jonathan Lessick MD Dsc, Izhak Kehat
Economic Living Standard Indices mediate the apparent health benefits of alcohol consumption among older adults
Economic Living Standard Indices mediate the apparent health benefits of alcohol consumption among older adults Michael C. Philipp & Andy Towers Massey University, New Zealand Background The New Zealand
Genetically Elevated C-Reactive Protein and Ischemic Vascular Disease
The new england journal of medicine original article Genetically Elevated C-Reactive Protein and Ischemic Vascular Disease Jeppe Zacho, M.D., Anne Tybjærg-Hansen, M.D., D.M.Sc., Jan Skov Jensen, M.D.,
Supplementary Online Content
Supplementary Online Content Clair C, Rigotti NA, Porneala B, et al. Association of smoking cessation and weight change with cardiovascular disease among people with and without diabetes. JAMA. doi:10.1001/jama.2013.1644.
Supplementary Online Content
Supplementary Online Content Drury KE, Schaeffer M, Silverberg JI. Association between atopic disease and anemia in US children. JAMA Pediatr. Published online vember 30, 2015. doi:10.1001/jamapediatrics.2015.3065.
Investigating causality in the association between 25(OH)D and schizophrenia
Investigating causality in the association between 25(OH)D and schizophrenia Amy E. Taylor PhD 1,2,3, Stephen Burgess PhD 1,4, Jennifer J. Ware PhD 1,2,5, Suzanne H. Gage PhD 1,2,3, SUNLIGHT consortium,
Fasting glucose, diagnosis of type 2 diabetes and depression: the Vietnam Experience Study
Fasting glucose, diagnosis of type 2 diabetes and depression: the Vietnam Experience Study Catharine R. Gale 1, Mika Kivimaki 2,3, Debbie A. Lawlor 4, Douglas Carroll 5, Anna C. Phillips 5, G. David Batty
Association of a nicotine receptor polymorphism with reduced ability to quit smoking in pregnancy
Research Symposium, MRC CAiTE & Department of Social Medicine, University of Bristol, 3 rd March 2009. Association of a nicotine receptor polymorphism with reduced ability to quit smoking in pregnancy
Relationship between body mass index, coronary disease extension and clinical outcomes in patients with acute coronary syndrome
Relationship between body mass index, coronary disease extension and clinical outcomes in patients with acute coronary syndrome Helder Dores, Luís Bronze Carvalho, Ingrid Rosário, Sílvio Leal, Maria João
DIFFERENTE RELAZIONE TRA VALORI PRESSORI E MASSA VENTRICOLARE SX NEI DUE SESSI IN PAZIENTI IPERTESI.
DIFFERENTE RELAZIONE TRA VALORI PRESSORI E MASSA VENTRICOLARE SX NEI DUE SESSI IN PAZIENTI IPERTESI. Franco Cipollini, Carlo Porta, Enrica Arcangeli, Carla Breschi, & Giuseppe Seghieri Azienda USL 3, Ambulatorio
Exploring the utility of alcohol flushing as an instrumental variable for alcohol intake in Koreans
www.nature.com/scientificreports Received: 31 May 2017 Accepted: 15 December 2017 Published: xx xx xxxx OPEN Exploring the utility of alcohol flushing as an instrumental variable for alcohol intake in
Supplementary Appendix
Supplementary Appendix This appendix has been provided by the authors to give readers additional information about their work. Supplement to: Bucholz EM, Butala NM, Ma S, Normand S-LT, Krumholz HM. Life
A lthough the hazards of smoking are well described,
702 RESEARCH REPORT Importance of light smoking and inhalation habits on risk of myocardial infarction and all cause mortality. A 22 year follow up of 12 149 men and women in The Copenhagen City Heart
ESM1 for Glucose, blood pressure and cholesterol levels and their relationships to clinical outcomes in type 2 diabetes: a retrospective cohort study
ESM1 for Glucose, blood pressure and cholesterol levels and their relationships to clinical outcomes in type 2 diabetes: a retrospective cohort study Statistical modelling details We used Cox proportional-hazards
FTO Polymorphisms Are Associated with Obesity But Not with Diabetes in East Asian Populations: A Meta analysis
BIOMEDICAL AND ENVIRONMENTAL SCIENCES 22, 449 457 (2009) www.besjournal.com FTO Polymorphisms Are Associated with Obesity But Not with Diabetes in East Asian Populations: A Meta analysis BO XI #, + AND
When lung tissue is 1 -antitrypsin deficient, protection
Blood Pressure, Risk of Ischemic Cerebrovascular and Ischemic Heart Disease, and Longevity in 1 -Antitrypsin Deficiency The Copenhagen City Heart Study Morten Dahl, MD; Anne Tybjærg-Hansen, MD, DMSc; Henrik
BMI may underestimate the socioeconomic gradient in true obesity
8 BMI may underestimate the socioeconomic gradient in true obesity Gerrit van den Berg, Manon van Eijsden, Tanja G.M. Vrijkotte, Reinoud J.B.J. Gemke Pediatric Obesity 2013; 8(3): e37-40 102 Chapter 8
egfr > 50 (n = 13,916)
Saxagliptin and Cardiovascular Risk in Patients with Type 2 Diabetes Mellitus and Moderate or Severe Renal Impairment: Observations from the SAVOR-TIMI 53 Trial Supplementary Table 1. Characteristics according
Early release, published at on February 4, Subject to revision.
CMAJ Early release, published at www.cmaj.ca on February 4, 2013. Subject to revision. Risk of venous thromboembolism and myocardial infarction associated with factor V Leiden and prothrombin mutations
PROLONGED PERCEIVED STRESS AND SALIVA CORTISOL IN A LARGE COHORT OF DANISH PUBLIC SERVICE EMPLOYEES: CROSS-SECTIONAL AND LONGITUDINAL ASSOCIATIONS
PROLONGED PERCEIVED STRESS AND SALIVA CORTISOL IN A LARGE COHORT OF DANISH PUBLIC SERVICE EMPLOYEES: CROSS-SECTIONAL AND LONGITUDINAL ASSOCIATIONS Sigurd Mikkelsen 1, Julie Lyng Forman 2, Samuel Fink 1,
Advanced IPD meta-analysis methods for observational studies
Advanced IPD meta-analysis methods for observational studies Simon Thompson University of Cambridge, UK Part 4 IBC Victoria, July 2016 1 Outline of talk Usual measures of association (e.g. hazard ratios)
University of Padova, Padua, Italy, and HARVEST Study Group, Italy
University of Padova, Padua, Italy, and HARVEST Study Group, Italy ISOLATED SYSTOLIC HYPERTENSION IN THE YOUNG DOES NOT IMPLY AN INCREASED RISK OF FUTURE HYPERTENSION NEEDING TREATMENT Mos L, Saladini
Metabolic Syndrome and Workplace Outcome
Metabolic Syndrome and Workplace Outcome Maine Worksite Wellness Initiative June 15, 2010 Alyssa B. Schultz Dee W. Edington Current Definition* of Metabolic Syndrome At least 3 of the following: Waist
Testing for non-linear causal effects using a binary genotype in a Mendelian randomization study: application to alcohol and cardiovascular traits
Int. J. Epidemiol. Advance Access published September 5, 2014 International Journal of Epidemiology, 2014, 1 10 doi: 10.1093/ije/dyu187 Original article Original article Testing for non-linear causal effects
Biases in clinical research. Seungho Ryu, MD, PhD Kanguk Samsung Hospital, Sungkyunkwan University
Biases in clinical research Seungho Ryu, MD, PhD Kanguk Samsung Hospital, Sungkyunkwan University Learning objectives Describe the threats to causal inferences in clinical studies Understand the role of
Depok-Indonesia STEPS Survey 2003
The STEPS survey of chronic disease risk factors in Indonesia/Depok was carried out from February 2003 to March 2003. Indonesia/Depok carried out Step 1, Step 2 and Step 3. Socio demographic and behavioural
Effects of age-at-diagnosis and duration of diabetes on GADA and IA-2A positivity
Effects of age-at-diagnosis and duration of diabetes on GADA and IA-2A positivity Duration of diabetes was inversely correlated with age-at-diagnosis (ρ=-0.13). However, as backward stepwise regression
Central role of apociii
University of Copenhagen & Copenhagen University Hospital Central role of apociii Anne Tybjærg-Hansen MD DMSc Copenhagen University Hospital and Faculty of Health and Medical Sciences, University of Copenhagen,
Sample size and power calculations in Mendelian randomization with a single instrumental variable and a binary outcome
Sample size and power calculations in Mendelian randomization with a single instrumental variable and a binary outcome Stephen Burgess July 10, 2013 Abstract Background: Sample size calculations are an
Supplementary Online Content
Supplementary Online Content Lotta LA, Stewart ID, Sharp SJ, et al. Association of genetically enhanced lipoprotein lipase mediated lipolysis and low-density lipoprotein cholesterol lowering alleles with
Biostatistics and Epidemiology Step 1 Sample Questions Set 2. Diagnostic and Screening Tests
Biostatistics and Epidemiology Step 1 Sample Questions Set 2 Diagnostic and Screening Tests 1. A rare disorder of amino acid metabolism causes severe mental retardation if left untreated. If the disease
University of Groningen. Metabolic risk in people with psychotic disorders Bruins, Jojanneke
University of Groningen Metabolic risk in people with psychotic disorders Bruins, Jojanneke IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from
Cover Page. Author: Vaarhorst, Anika Title: Genetic and metabolomic approaches for coronary heart disease risk prediction Issue Date:
Cover Page The handle http://hdl.handle.net/1887/25760 holds various files of this Leiden University dissertation Author: Vaarhorst, Anika Title: Genetic and metabolomic approaches for coronary heart disease
Cohort 2. Age, years 41.0 (10.2) Diabetes duration, years 26.5 (15.8)
Supplementary Table. Participant characteristics in cohort Cohort Number Sex, Male Female Age, years. (.) Diabetes duration, years.5 (5.) BMI, kg.m. (3.) HbA c, % mmol.mol. (.7) () C-peptide, nmol.l.3
Supplementary Online Content
Supplementary Online Content Baker TB, Piper ME, Stein JH, et al. Effects of nicotine patch vs varenicline vs combination nicotine replacement therapy on smoking cessation at 26 weeks: a randomized clinical
Supplementary information for: A functional variation in BRAP confers risk of myocardial infarction in Asian populations
Supplementary information for: A functional variation in BRAP confers risk of myocardial infarction in Asian populations Kouichi Ozaki 1, Hiroshi Sato 2, Katsumi Inoue 3, Tatsuhiko Tsunoda 4, Yasuhiko
MEDCODE READCODE READTERM
Supplementary Table 1A. Codes used to identify MI events in the CPRD MEDCODE READCODE READTERM 241 G30..00 Acute myocardial infarction 13566 G30..11 Attack - heart 2491 G30..12 Coronary thrombosis 30421
Supplementary Figure 1 Forest plots of genetic variants in GDM with all included studies. (A) IGF2BP2
Supplementary Figure 1 Forest plots of genetic variants in GDM with all included studies. (A) IGF2BP2 rs4402960, (B) MTNR1B rs10830963, (C) TCF7L2 rs7903146, (D) IRS1 rs1801278, (E) PPARG rs1801282, (F)
Race Original cohort Clean cohort HR 95%CI P HR 95%CI P. <8.5 White Black
Appendix Table 1: Hazard Ratios of the association between CSCs and all-cause mortality from original cohort and the clean cohort excluding CHD/strokes. CSC categories Race Original cohort Clean cohort
Cardiovascular Diseases in CKD
1 Cardiovascular Diseases in CKD Hung-Chun Chen, MD, PhD. Kaohsiung Medical University Taiwan Society of Nephrology 1 2 High Prevalence of CVD in CKD & ESRD Foley RN et al, AJKD 1998; 32(suppl 3):S112-9
Improving Prediction of Ischemic Cardiovascular Disease in the General Population Using Apolipoprotein B The Copenhagen City Heart Study
Improving Prediction of Ischemic Cardiovascular Disease in the General Population Using Apolipoprotein B The Copenhagen City Heart Study Marianne Benn, Børge G. Nordestgaard, Gorm Boje Jensen, Anne Tybjærg-Hansen
A Naturally Randomized Trial Comparing the Effect of Genetic Variants that Mimic CETP Inhibitors and Statins on the Risk of Cardiovascular Disease.
A Naturally Randomized Trial Comparing the Effect of Genetic Variants that Mimic CETP Inhibitors and Statins on the Risk of Cardiovascular Disease. Brian A. Ference MD, MPhil, MSc, John J. P. Kastelein
Supplementary Table 1. Patient demographics and baseline characteristics (treated patients).
Supplementary Table 1. Patient demographics and baseline characteristics (treated patients). Placebo (n=188) 10 mg (n=186) 25 mg (n=189) Total (n=563) Gender, n (%) Male 75 (40) 97 (52) 84 (44) 256 (45)
Bariatric Surgery versus Intensive Medical Therapy for Diabetes 3-Year Outcomes
The new england journal of medicine original article Bariatric Surgery versus Intensive Medical for Diabetes 3-Year Outcomes Philip R. Schauer, M.D., Deepak L. Bhatt, M.D., M.P.H., John P. Kirwan, Ph.D.,
Association of C-Reactive Protein With Blood Pressure and Hypertension Life Course Confounding and Mendelian Randomization Tests of Causality
Association of C-Reactive Protein With Blood Pressure and Hypertension Life Course Confounding and Mendelian Randomization Tests of Causality George Davey Smith, Debbie A. Lawlor, Roger Harbord, Nic Timpson,
Epidemiology and Prevention of Stroke
Copyright Information Copyright protected material has been deleted from this presentation. References to the deleted material are provided for each slide. Epidemiology and Prevention of Stroke Larry B.
# % & (!) +,. / !( : 0 ( (;9 +/ ((8
! # % & (!) +,. / 0 1 2 3 4 + 5.667 8 19!( : 0 ( (;9 +/ ((8 < Do we need to think beyond BMI for estimating population level health risks? Green, MA (Corresponding author), Research Associate, School of
Supplementary Online Content
Supplementary Online Content Linderman GC, Lu J, Lu Y, et al. Association of body mass index with blood pressure among 1.7 million Chinese adults. JAMA Netw Open. 2018;1(4):e181271. doi:10.1/jamanetworkopen.2018.1271
Title: Low omega-3 fatty acid levels associate with frequent gout attacks a case
Title: Low omega-3 fatty acid levels associate with frequent gout attacks a case control study Authors: A Abhishek 1, Ana M Valdes 1, Michael Doherty 1 Affiliation: Academic Rheumatology, University of
Genetic predisposition to obesity leads to increased risk of type 2 diabetes
Diabetologia (2011) 54:776 782 DOI 10.1007/s00125-011-2044-5 ARTICLE Genetic predisposition to obesity leads to increased risk of type 2 diabetes S. Li & J. H. Zhao & J. Luan & C. Langenberg & R. N. Luben
There are many ways to lower triglycerides in humans: Which are the most relevant for pancreatitis and for CV risk?
There are many ways to lower triglycerides in humans: Which are the most relevant for pancreatitis and for CV risk? Michael Davidson M.D. FACC, Diplomate of the American Board of Lipidology Professor,
FTO gene variants are strongly associated with type 2 diabetes in South Asian Indians
Diabetologia (2009) 52:247 252 DOI 10.1007/s00125-008-1186-6 SHORT COMMUNICATION FTO gene variants are strongly associated with type 2 diabetes in South Asian Indians C. S. Yajnik & C. S. Janipalli & S.
Cardiovascular Risk Assessment and Management Making a Difference
Cardiovascular Risk Assessment and Management Making a Difference Norman Sharpe March 2014 Numbers and age-standardised mortality rates from all causes, by sex, 1950 2010 Death rates halved Life expectancy
The association between components of adult height and Type II diabetes and insulin resistance: British Women s Heart and Health Study
Diabetologia (2002) 45:1097 1106 DOI 10.1007/s00125-002-0887-5 Articles The association between components of adult height and Type II diabetes and insulin resistance: British Women s Heart and Health
Supplementary Appendix
Supplementary Appendix This appendix has been provided by the authors to give readers additional information about their work. Supplement to: Rawshani Aidin, Rawshani Araz, Franzén S, et al. Risk factors,
Tutorial on Genome-Wide Association Studies
Tutorial on Genome-Wide Association Studies Assistant Professor Institute for Computational Biology Department of Epidemiology and Biostatistics Case Western Reserve University Acknowledgements Dana Crawford