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      Early-Life Cardiovascular Risk Factor Trajectories and Vascular Aging in Midlife: A 30-Year Prospective Cohort Study

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          Abstract

          Background:

          Vascular aging, as assessed by structural and functional arterial properties, is an independent predictor of cardiovascular outcomes. We aimed to explore the associations of individual cardiovascular risk factors from childhood to midlife and their accumulation over a 30-year span with vascular aging in midlife.

          Methods:

          Using data from the ongoing cohort of Hanzhong Adolescent Hypertension study, 2180 participants aged 6 to 18 years at baseline were followed for over 30 years. Distinct trajectories of systolic blood pressure (SBP), body mass index (BMI), and heart rate from childhood to midlife were identified by group-based trajectory modeling. Vascular aging was assessed by carotid intima media thickness or brachial-ankle pulse wave velocity.

          Results:

          We identified 4 distinct SBP trajectories, 3 distinct BMI trajectories, and 2 distinct heart rate trajectories from childhood to midlife. Persistently increasing SBP, high-increasing BMI, and high-stable heart rate were all shown to have a positive association with brachial-ankle pulse wave velocity in midlife. For carotid intima–media thickness, similar associations were observed for persistently increasing SBP and high-increasing body mass index. After further adjustment for SBP, body mass index and heart rate at the time of vascular assessment in 2017, associations were also observed for cardiovascular risk factor trajectories accumulation with brachial-ankle pulse wave velocity (β, 0.656 [95% CI, 0.265–1.047]) and with carotid intima media thickness (β, 0.045 [95% CI, 0.011–0.079]) in adulthood.

          Conclusions:

          Longitudinal exposure to individual cardiovascular risk factors from childhood to midlife and cardiovascular risk factor accumulation were associated with an increased risk of vascular aging in midlife. Our study lends support for early targeting of risk factors in order to prevent cardiovascular disease later in life.

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          Most cited references48

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          Is Open Access

          Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017

          Summary Background Global development goals increasingly rely on country-specific estimates for benchmarking a nation's progress. To meet this need, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016 estimated global, regional, national, and, for selected locations, subnational cause-specific mortality beginning in the year 1980. Here we report an update to that study, making use of newly available data and improved methods. GBD 2017 provides a comprehensive assessment of cause-specific mortality for 282 causes in 195 countries and territories from 1980 to 2017. Methods The causes of death database is composed of vital registration (VR), verbal autopsy (VA), registry, survey, police, and surveillance data. GBD 2017 added ten VA studies, 127 country-years of VR data, 502 cancer-registry country-years, and an additional surveillance country-year. Expansions of the GBD cause of death hierarchy resulted in 18 additional causes estimated for GBD 2017. Newly available data led to subnational estimates for five additional countries—Ethiopia, Iran, New Zealand, Norway, and Russia. Deaths assigned International Classification of Diseases (ICD) codes for non-specific, implausible, or intermediate causes of death were reassigned to underlying causes by redistribution algorithms that were incorporated into uncertainty estimation. We used statistical modelling tools developed for GBD, including the Cause of Death Ensemble model (CODEm), to generate cause fractions and cause-specific death rates for each location, year, age, and sex. Instead of using UN estimates as in previous versions, GBD 2017 independently estimated population size and fertility rate for all locations. Years of life lost (YLLs) were then calculated as the sum of each death multiplied by the standard life expectancy at each age. All rates reported here are age-standardised. Findings At the broadest grouping of causes of death (Level 1), non-communicable diseases (NCDs) comprised the greatest fraction of deaths, contributing to 73·4% (95% uncertainty interval [UI] 72·5–74·1) of total deaths in 2017, while communicable, maternal, neonatal, and nutritional (CMNN) causes accounted for 18·6% (17·9–19·6), and injuries 8·0% (7·7–8·2). Total numbers of deaths from NCD causes increased from 2007 to 2017 by 22·7% (21·5–23·9), representing an additional 7·61 million (7·20–8·01) deaths estimated in 2017 versus 2007. The death rate from NCDs decreased globally by 7·9% (7·0–8·8). The number of deaths for CMNN causes decreased by 22·2% (20·0–24·0) and the death rate by 31·8% (30·1–33·3). Total deaths from injuries increased by 2·3% (0·5–4·0) between 2007 and 2017, and the death rate from injuries decreased by 13·7% (12·2–15·1) to 57·9 deaths (55·9–59·2) per 100 000 in 2017. Deaths from substance use disorders also increased, rising from 284 000 deaths (268 000–289 000) globally in 2007 to 352 000 (334 000–363 000) in 2017. Between 2007 and 2017, total deaths from conflict and terrorism increased by 118·0% (88·8–148·6). A greater reduction in total deaths and death rates was observed for some CMNN causes among children younger than 5 years than for older adults, such as a 36·4% (32·2–40·6) reduction in deaths from lower respiratory infections for children younger than 5 years compared with a 33·6% (31·2–36·1) increase in adults older than 70 years. Globally, the number of deaths was greater for men than for women at most ages in 2017, except at ages older than 85 years. Trends in global YLLs reflect an epidemiological transition, with decreases in total YLLs from enteric infections, respiratory infections and tuberculosis, and maternal and neonatal disorders between 1990 and 2017; these were generally greater in magnitude at the lowest levels of the Socio-demographic Index (SDI). At the same time, there were large increases in YLLs from neoplasms and cardiovascular diseases. YLL rates decreased across the five leading Level 2 causes in all SDI quintiles. The leading causes of YLLs in 1990—neonatal disorders, lower respiratory infections, and diarrhoeal diseases—were ranked second, fourth, and fifth, in 2017. Meanwhile, estimated YLLs increased for ischaemic heart disease (ranked first in 2017) and stroke (ranked third), even though YLL rates decreased. Population growth contributed to increased total deaths across the 20 leading Level 2 causes of mortality between 2007 and 2017. Decreases in the cause-specific mortality rate reduced the effect of population growth for all but three causes: substance use disorders, neurological disorders, and skin and subcutaneous diseases. Interpretation Improvements in global health have been unevenly distributed among populations. Deaths due to injuries, substance use disorders, armed conflict and terrorism, neoplasms, and cardiovascular disease are expanding threats to global health. For causes of death such as lower respiratory and enteric infections, more rapid progress occurred for children than for the oldest adults, and there is continuing disparity in mortality rates by sex across age groups. Reductions in the death rate of some common diseases are themselves slowing or have ceased, primarily for NCDs, and the death rate for selected causes has increased in the past decade. Funding Bill & Melinda Gates Foundation.
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            Prediction of cardiovascular events and all-cause mortality with arterial stiffness: a systematic review and meta-analysis.

            The purpose of this study was to calculate robust quantitative estimates of the predictive value of aortic pulse wave velocity (PWV) for future cardiovascular (CV) events and all-cause mortality by meta-analyses of longitudinal studies. Arterial stiffness is increasingly recognized as a surrogate end point for CV disease. We performed a meta-analysis of 17 longitudinal studies that evaluated aortic PWV and followed up 15,877 subjects for a mean of 7.7 years. The pooled relative risk (RR) of clinical events increased in a stepwise, linear-like fashion from the first to the third tertile of aortic PWV. The pooled RRs of total CV events, CV mortality, and all-cause mortality were 2.26 (95% confidence interval: 1.89 to 2.70, 14 studies), 2.02 (95% confidence interval: 1.68 to 2.42, 10 studies), and 1.90 (95% confidence interval: 1.61 to 2.24, 11 studies), respectively, for high versus low aortic PWV subjects. For total CV events and CV mortality, the RR was significantly higher in high baseline risk groups (coronary artery disease, renal disease, hypertension) compared with low-risk subjects (general population). An increase in aortic PWV by 1 m/s corresponded to an age-, sex-, and risk factor-adjusted risk increase of 14%, 15%, and 15% in total CV events, CV mortality, and all-cause mortality, respectively. An increase in aortic PWV by 1 SD was associated with respective increases of 47%, 47%, and 42%. Aortic stiffness expressed as aortic PWV is a strong predictor of future CV events and all-cause mortality. The predictive ability of arterial stiffness is higher in subjects with a higher baseline CV risk.
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              Expert consensus document on arterial stiffness: methodological issues and clinical applications.

              In recent years, great emphasis has been placed on the role of arterial stiffness in the development of cardiovascular diseases. Indeed, the assessment of arterial stiffness is increasingly used in the clinical assessment of patients. Although several papers have previously addressed the methodological issues concerning the various indices of arterial stiffness currently available, and their clinical applications, clinicians and researchers still report difficulties in selecting the most appropriate methodology for their specific use. This paper summarizes the proceedings of several meetings of the European Network for Non-invasive Investigation of Large Arteries and is aimed at providing an updated and practical overview of the most relevant methodological aspects and clinical applications in this area.
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                Author and article information

                Contributors
                Journal
                Hypertension
                Hypertension
                Ovid Technologies (Wolters Kluwer Health)
                0194-911X
                1524-4563
                May 2023
                May 2023
                : 80
                : 5
                : 1057-1066
                Affiliations
                [1 ]Department of Cardiovascular Medicine (Y.W., M.-F.D., X.Z., C. Chu, D.W., Y.-Y.L., Q.M., H.J., G.-L.H., Y.Y., Y.S., C. Chen, T.Z., Z.-J.N., Z.-Y.M., W.-J.L., J.-J.M.), First Affiliated Hospital of Xi’an Jiaotong University, China.
                [2 ]Global Health Institute, School of Public Health (Y.W.), Xi’an Jiaotong University Health Science Center, China.
                [3 ]Clinical Research Center, the Third Xiangya Hospital, Central South University, Changsha, China (J.W., Y.L.).
                [4 ]Public Health Research Center and Department of Public Health and Preventive Medicine, Wuxi School of Medicine Jiangnan University, Jiangsu, China (X.-W.Z.).
                [5 ]Department of Cardiology, Northwest Women’s and Children’s Hospital of Xi’an (X.-Y.Z.), Xi’an Jiaotong University Health Science Center, China.
                [6 ]Department of Critical Care Medicine (H.L.), First Affiliated Hospital of Xi’an Jiaotong University, China.
                [7 ]Department of Cardiology, Xi’an International Medical Center Hospital, China (L.W.).
                [8 ]Department of Cardiology, Xi’an Central Hospital of Xi’an Jiaotong University, China (G.-J.W.).
                [9 ]Department of Physiology and Pathophysiology, Xi’an Jiaotong University School of Basic Medical Sciences, Shaanxi Engineering and Research Center of Vaccine, Key Laboratory of Environment and Genes Related to Diseases of Education Ministry of China, China (Y.-M.K.).
                [10 ]Department of Medicine, Yale School of Medicine, New Haven, CT (J.C.).
                [11 ]Department of Medicine, Veterans Administration Healthcare System, West Haven, CT (J.C.).
                [12 ]School of Cardiovascular and Metabolic Health, University of Glasgow, United Kingdom (C.D.).
                Article
                10.1161/HYPERTENSIONAHA.122.20518
                c76f5202-d802-4a5d-980c-d98f3922bb33
                © 2023
                History

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