The association between changes in blood pressure components and incident cardiovascular diseases

References

• Guilbert J. The world health report 2002 - reducing risks, promoting healthy life. Educ Health (Abingdon). 2003;16:230.
   PubMedGoogle Scholar
• Lawes CM, Vander Hoorn S, Rodgers A. Global burden of blood-pressure-related disease, 2001. Lancet. 2008;371:1513–1518.
   PubMed Web of Science ®Google Scholar
• Grove JS, Reed DM, Yano K, et al. Variability in systolic blood pressure-a risk factor for coronary heart disease? Am J Epidemiol. 1997;145:771–776.
   PubMed Web of Science ®Google Scholar
• Hofman A. Change viewed on the level. Int J Epidemiol. 1983;12:391–392.
   PubMed Web of Science ®Google Scholar
• Diaz KM, Tanner RM, Falzon L, et al. Visit-to-visit variability of blood pressure and cardiovascular disease and all-cause mortality: a systematic review and meta-analysis. Hypertension. 2014;64:965–982.
   PubMed Web of Science ®Google Scholar
• Franklin SS, Gustin W, Wong ND, et al. Hemodynamic patterns of age-related changes in blood pressure. The Framingham Heart Study. Circulation. 1997;96:308–315.
   PubMed Web of Science ®Google Scholar
• Collins R, Peto R, MacMahon S, et al. Blood pressure, stroke, and coronary heart disease. Part 2, Short-term reductions in blood pressure: overview of randomised drug trials in their epidemiological context. Lancet. 1990;335:827–838.
   PubMed Web of Science ®Google Scholar
• Blood Pressure Lowering Treatment Trialists’ Collaboration. Effects of different blood-pressure-lowering regimens on major cardiovascular events: results of prospectively-designed overviews of randomised trials. Lancet. 2003;362:1527–1535.
   PubMed Web of Science ®Google Scholar
• Samuelsson O, Wilhelmsen L, Andersson OK, et al. Cardiovascular morbidity in relation to change in blood pressure and serum cholesterol levels in treated hypertension. Results from the primary prevention trial in Göteborg, Sweden. JAMA. 1987;258:1768–1776.
   PubMed Web of Science ®Google Scholar
• Menotti A, Seccareccia F, Lanti M, et al. Time changes in predictability of coronary heart disease in an Italian aging population. Cardiology. 1993;82:172–180.
   PubMed Web of Science ®Google Scholar
• Tervahauta M, Pekkanen J, Enlund H, et al. Change in blood pressure and 5-year risk of coronary heart disease among elderly men: the Finnish cohorts of the Seven Countries Study. J Hypertens. 1994;12:1183–1190.
   PubMed Web of Science ®Google Scholar
• Tolonen H, Mahonen M, Asplund K, et al. Do trends in population levels of blood pressure and other cardiovascular risk factors explain trends in stroke event rates? Comparisons of 15 populations in 9 countries within the WHO MONICA stroke project. World Health Organization monitoring of trends and determinants in cardiovascular disease. Stroke. 2002;33:2367–2375.
   PubMed Web of Science ®Google Scholar
• Menotti A, Lanti M, Kafatos A, et al. The role of a baseline casual blood pressure measurement and of blood pressure changes in middle age in prediction of cardiovascular and all-cause mortality occurring late in life: a cross-cultural comparison among the European cohorts of the Seven countries study. J Hypertens. 2004;22:1683–1690.
   PubMed Web of Science ®Google Scholar
• Wong ND. Epidemiological studies of CHD and the evolution of preventive cardiology. Nat Rev Cardiol. 2014;11:276–289.
   PubMed Web of Science ®Google Scholar
• Khalili D, Mosavi-Jarrahi A, Eskandari F, et al. Evaluation of cause of deaths' validity using outcome measures from a prospective, population based cohort study in Tehran, Iran. PLoS One. 2012;7:e31427.
   PubMed Web of Science ®Google Scholar
• Khalili D, Sheikholeslami FH, Bakhtiyari M, et al. The incidence of coronary heart disease and the population attributable fraction of its risk factors in Tehran: a 10-year population-based cohort study. PLoS One. 2014;9:e105804.
   PubMed Web of Science ®Google Scholar
• Esteghamati A, Meysamie A, Khalilzadeh O, et al. Third national Surveillance of Risk Factors of Non-Communicable Diseases (SuRFNCD-2007) in Iran: methods and results on prevalence of diabetes, hypertension, obesity, central obesity, and dyslipidemia. BMC Public Health. 2009;9:167.
   PubMed Web of Science ®Google Scholar
• Hadaegh F, Shafiee G, Hatami M, et al. Systolic and diastolic blood pressure, mean arterial pressure and pulse pressure for prediction of cardiovascular events and mortality in a Middle Eastern population. Blood Press. 2012;21:12–18.
   PubMed Web of Science ®Google Scholar
• Azizi F, Ghanbarian A, Momenan A, et al. Prevention of non-communicable disease in a population in nutrition transition: Tehran lipid and glucose study phase II. Trials. 2009;10:5.
   PubMed Web of Science ®Google Scholar
• Azizi F, Rahmani M, Emami H, et al. Cardiovascular risk factors in an Iranian urban population: Tehran Lipid and Glucose Study (Phase 1). Soz Praventivmed. 2002;47:408–426.
   PubMedGoogle Scholar
• Levey A, Bosch J, Lewis J, et al. A simplified equation to predict glomerular filtration rate from serum creatinine [Abstract]. J Am Soc Nephrol. 2000;11:155A.
   Google Scholar
• Harrell FE Jr. Resampling, validating, describing, and simplifying the model. Regression Modeling Strategies. New York City (NY): Springer; 2001. p. 87–103.
   Google Scholar
• Neter J, Kutner MH, Nachtsheim CJ, et al. Applied linear statistical models. Chicago (IL): Irwin Chicago; 1996.
   Google Scholar
• Agresti A. An introduction to categorical data analysis. New York City (NY): Wiley New York; 1996.
   Google Scholar
• Dziak JJ, Coffman DL, Lanza ST, et al. Sensitivity and specificity of information criteria. PeerJ PrePrints. 2012;3:e1103v2.
   Google Scholar
• Pencina MJ, D'Agostino RB. Overall C as a measure of discrimination in survival analysis: model specific population value and confidence interval estimation. Statist Med. 2004;23:2109–2123.
   PubMed Web of Science ®Google Scholar
• Kuulasmaa K, Tunstall-Pedoe H, Dobson A, et al. Estimation of contribution of changes in classic risk factors to trends in coronary-event rates across the WHO MONICA Project populations. Lancet. 2000;355:675–687.
   PubMed Web of Science ®Google Scholar
• Ye S, Wang YC, Shimbo D, et al. Effect of change in systolic blood pressure between clinic visits on estimated 10-year cardiovascular disease risk. J Am Soc Hypertens. 2014;8:159–165.
   PubMed Web of Science ®Google Scholar
• Skretteberg PT, Grundvold I, Kjeldsen SE, et al. Seven-year increase in exercise systolic blood pressure at moderate workload predicts long-term risk of coronary heart disease and mortality in healthy middle-aged men. Hypertension. 2013;61:1134–1140.
   PubMed Web of Science ®Google Scholar
• Sesso HD, Stampfer MJ, Rosner B, et al. Two-year changes in blood pressure and subsequent risk of cardiovascular disease in men. Circulation. 2000;102:307–312.
   PubMed Web of Science ®Google Scholar
• Menotti A, Seccareccia F. Spontaneous changes of systolic blood pressure as predictors of future fatal events. Italian Research Group of the Seven Countries Study. Am J Hypertens. 1990;3:549–554.
   PubMed Web of Science ®Google Scholar
• Li Y, Wei F-F, Wang S, et al. Cardiovascular risks associated with diastolic blood pressure and isolated diastolic hypertension. Curr Hypertens Rep. 2014;16:1–6.
   Web of Science ®Google Scholar
• Franklin SS. The importance of diastolic blood pressure in predicting cardiovascular risk. J Am Soc Hypertens. 2007;1:82–93.
   PubMed Web of Science ®Google Scholar
• Poortvliet RK, Ford I, Lloyd SM, et al. Blood pressure variability and cardiovascular risk in the PROspective Study of Pravastatin in the Elderly at Risk (PROSPER). PLoS One. 2012;7:e52438.
   PubMed Web of Science ®Google Scholar
• Sesso HD, Stampfer MJ, Rosner B, et al. Systolic and diastolic blood pressure, pulse pressure, and mean arterial pressure as predictors of cardiovascular disease risk in men. Hypertension. 2000;36:801–807.
   PubMed Web of Science ®Google Scholar