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Peng W, Bai X, Yang Y, Cui J, Xu W, Song L, Yang H, He W, Zhang Y, Zhang X, Li X, Lu J. Healthy lifestyle, statin, and mortality in people with high CVD risk: A nationwide population-based cohort study. Am J Prev Cardiol 2024; 17:100635. [PMID: 38327628 PMCID: PMC10847055 DOI: 10.1016/j.ajpc.2024.100635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2023] [Revised: 12/09/2023] [Accepted: 01/21/2024] [Indexed: 02/09/2024] Open
Abstract
Objective To examine the joint association of healthy lifestyles and statin use with all-cause and cardiovascular mortality in high-risk individuals, and evaluate the survival benefits by life expectancy. Methods During 2015-2021, participants aged 35-75 years were recruited by the China Health Evaluation And risk Reduction through nationwide Teamwork. Based on number of healthy lifestyles related to smoking, alcohol drinking, physical activity, and diet, we categorized them into: very healthy (3-4), healthy (2), and unhealthy (0-1). Statin use was determined by self-report taking statin in last two weeks. Results Among the 265,209 included participants at high risk, 6979 deaths were observed, including 3236 CVD deaths during a median 3.6 years of follow-up. Individuals taking statin and with a very healthy lifestyle had the lowest risk of all-cause (HR: 0.70; 95 %CI: 0.57-0.87) and cardiovascular mortality (0.56; 0.40-0.79), compared with statin non-users with an unhealthy lifestyle. High-risk participants taking statin and with a very healthy lifestyle had the highest years of life gained (5.90 years at 35-year-old [4.14-7.67; P < 0.001]) compared with statin non-users with an unhealthy lifestyle among high-risk people. And their life expectancy was comparable with those without high risk but with a very healthy lifestyle (4.49 vs. 4.68 years). Conclusion The combination of preventive medication and multiple healthy lifestyles was associated with lower risk of all-cause and cardiovascular mortality and largest survival benefits. Integrated strategy to improve long-term health for high-risk people was urgently needed.
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Affiliation(s)
- Wenyao Peng
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China
| | - Xueke Bai
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China
| | - Yang Yang
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China
| | - Jianlan Cui
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China
| | - Wei Xu
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China
| | - Lijuan Song
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China
| | - Hao Yang
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China
| | - Wenyan He
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China
| | - Yan Zhang
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China
| | - Xingyi Zhang
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China
| | - Xi Li
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China
- Fuwai Hospital Chinese Academy of Medical Sciences, Shenzhen, Shenzhen, PR China
- Central China Sub-center of the National Center for Cardiovascular Diseases, Zhengzhou, PR China
| | - Jiapeng Lu
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China
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Zhou Q, Zhao Y, Chen H, Sun H, Sun Y, Li J, Yu H, Zhao Q, Zhang Z. Influence of lifestyle on stroke risk among adults over 65 years in northern China: A propensity score matched study. Eur J Integr Med 2023. [DOI: 10.1016/j.eujim.2023.102224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/03/2023]
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Lu Q, Zhang Y, Geng T, Yang K, Guo K, Min X, He M, Guo H, Zhang X, Yang H, Wu T, Pan A, Liu G. Association of Lifestyle Factors and Antihypertensive Medication Use With Risk of All-Cause and Cause-Specific Mortality Among Adults With Hypertension in China. JAMA Netw Open 2022; 5:e2146118. [PMID: 35103793 PMCID: PMC8808332 DOI: 10.1001/jamanetworkopen.2021.46118] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
IMPORTANCE The joint association of antihypertensive medication use and healthy lifestyle with mortality among individuals with hypertension is unclear. OBJECTIVE To examine the association of lifestyle factors combined with antihypertensive medication use, as well as changes in lifestyle, with all-cause and cause-specific mortality among individuals with hypertension. DESIGN, SETTING, AND PARTICIPANTS This cohort study used data from the Dongfeng-Tongji cohort, a long-term, prospective cohort including employees at a manufacturer in China, with baseline from 2008 to 2010. Participants with hypertension were followed up for a median (IQR) of 7.3 (5.7-10.3) years, ending in 2018. Data were analyzed from February to April 2021. EXPOSURES Lifestyle factors, including body mass index, smoking status, diet, physical activity, and sleep duration, were coded on a 3-point scale (range, 0-2, with higher score indicating a healthier lifestyle). Lifestyle was evaluated according to the total score of all 5 factors, and categorized into 3 groups: unfavorable (scores 0-4), intermediate (scores 5-7), and favorable (scores 8-10). Antihypertensive medication use was defined as use within the last 2 weeks. MAIN OUTCOMES AND MEASURES All-cause, cardiovascular, and cancer mortality were identified by linking the cohort database with the health care system through December 31, 2018. RESULTS A total of 14 392 participants (mean [SD] age, 65.6 [7.4] years; 7277 [50.6%] men and 7115 [49.4%] women) with hypertension were included, and 2015 deaths were documented, including 761 cardiovascular deaths and 525 cancer deaths. Compared with individuals not using antihypertensive medication and with a lifestyle score of 0 to 4, the combination of using antihypertensive medication and having a lifestyle score of 8 to 10 was associated with the lowest risk of all-cause mortality (hazard ratio [HR], 0.32; 95% CI, 0.25-0.42), cardiovascular mortality (HR, 0.33; 95% CI, 0.21-0.53), and cancer mortality (HR, 0.30; 95% CI, 0.19-0.47). In addition, improvement in lifestyle score after hypertension diagnosis was associated with lower risk of all-cause mortality (HR, 0.52; 95% CI, 0.36-0.76) and cardiovascular mortality (HR, 0.53; 95% CI, 0.30-0.94). CONCLUSIONS AND RELEVANCE These findings suggest that adherence to healthy lifestyle and antihypertensive medication treatment were associated with lower risk of mortality among adults with hypertension. These findings further support that, in addition to antihypertensive medication use, adopting a healthy lifestyle is associated with benefits in the prevention of premature death among individuals with hypertension.
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Affiliation(s)
- Qi Lu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yanbo Zhang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tingting Geng
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Kun Yang
- Department of Endocrinology, Affiliated Dongfeng Hospital, Hubei University of Medicine, Shiyan, China
| | - Kunquan Guo
- Department of Endocrinology, Affiliated Dongfeng Hospital, Hubei University of Medicine, Shiyan, China
| | - Xinwen Min
- Department of Endocrinology, Affiliated Dongfeng Hospital, Hubei University of Medicine, Shiyan, China
| | - Meian He
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Huan Guo
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaomin Zhang
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Handong Yang
- Sinopharm Dongfeng General Hospital, Hubei University of Medicine, Shiyan, China
| | - Tangchun Wu
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - An Pan
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Gang Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Rojas-Saunero LP, Hilal S, Murray EJ, Logan RW, Ikram MA, Swanson SA. Hypothetical blood-pressure-lowering interventions and risk of stroke and dementia. Eur J Epidemiol 2020; 36:69-79. [PMID: 33247419 PMCID: PMC7847439 DOI: 10.1007/s10654-020-00694-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Accepted: 11/07/2020] [Indexed: 12/12/2022]
Abstract
We aimed to study the effects of hypothetical interventions on systolic blood pressure (SBP) and smoking on risk of stroke and dementia using data from 15 years of follow-up in the Rotterdam Study. We used data from 4930 individuals, aged 55-80 years, with no prior history of stroke, dementia or cognitive impairment, followed for 15 years within the Rotterdam Study, a population-based cohort. We defined the following sustained interventions on SBP: (1) maintaining SBP below 120 mmHg, (2) maintaining SBP below 140 mmHg, (3) reducing SBP by 10% if above 140 mmHg, (4) reducing SBP by 20% if above 140 mmHg, and a combined intervention of quitting smoking with each of these SBP-lowering strategies. We considered incident stroke and incident dementia diagnoses as outcomes. We applied the parametric g-formula to adjust for baseline and time-varying confounding. The observed 15-year risk for stroke was 10.7%. Compared to no specified intervention (i.e., the "natural course"), all interventions that involved reducing SBP were associated with a stroke risk reduction of about 10% (e.g., reducing SBP by 20% if above 140 mmHg risk ratio: 0.89; 95% CI 0.76, 1). Jointly intervening on SBP and smoking status further decreased the risk of stroke (e.g., risk ratio: 0.83; 95% CI 0.71, 0.94). None of the specified interventions were associated with a substantive change in dementia risk. Our study suggests that a joint intervention on SBP and smoking cessation during later life may reduce stroke risk, while the potential for reducing dementia risk were not observed.
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Affiliation(s)
- Liliana Paloma Rojas-Saunero
- Department of Epidemiology, Erasmus University Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands.
| | - Saima Hilal
- Department of Epidemiology, Erasmus University Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands.,Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands.,Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Eleanor J Murray
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA.,Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Roger W Logan
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Mohammad Arfan Ikram
- Department of Epidemiology, Erasmus University Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
| | - Sonja A Swanson
- Department of Epidemiology, Erasmus University Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands.,Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
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5
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Korhonen MJ, Pentti J, Hartikainen J, Ilomäki J, Setoguchi S, Liew D, Kivimäki M, Vahtera J. Lifestyle Changes in Relation to Initiation of Antihypertensive and Lipid-Lowering Medication: A Cohort Study. J Am Heart Assoc 2020; 9:e014168. [PMID: 32019405 PMCID: PMC7070189 DOI: 10.1161/jaha.119.014168] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Background Lifestyle modification is a key component of cardiovascular disease prevention before and concurrently with pharmacologic interventions. We evaluated whether lifestyle factors change in relation to the initiation of antihypertensive or lipid-lowering medication (statins). Methods and Results The study population comprised 41 225 participants of the FPS (Finnish Public Sector) study aged ≥40 years who were free of cardiovascular disease at baseline and responded to ≥2 consecutive surveys administered in 4-year intervals in 2000-2013. Medication use was ascertained through pharmacy-claims data. Using a series of pre-post data sets, we compared changes in body mass index, physical activity, alcohol consumption, and smoking between 8837 initiators and 46 021 noninitiators of antihypertensive medications or statins. In participants who initiated medication use, body mass index increased more (difference in change 0.19; 95% CI, 0.16-0.22) and physical activity declined (-0.09 metabolic equivalent of task hour/day; 95% CI, -0.16 to -0.02) compared with noninitiators. The likelihood of becoming obese (odds ratio: 1.82; 95% CI, 1.63-2.03) and physically inactive (odds ratio: 1.08; 95% CI, 1.01-1.17) was higher in initiators. However, medication initiation was associated with greater decline in average alcohol consumption (-1.85 g/week; 95% CI, -3.67 to -0.14) and higher odds of quitting smoking (odds ratio for current smoking in the second survey: 0.74; 95% CI, 0.64-0.85). Conclusions These findings suggest that initiation of antihypertensive and statin medication is associated with lifestyle changes, some favorable and others unfavorable. Weight management and physical activity should be encouraged in individuals prescribed these medications.
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Affiliation(s)
- Maarit J Korhonen
- Department of Public Health University of Turku Finland.,Institute of Biomedicine University of Turku Finland.,Centre for Medicine Use and Safety Faculty of Pharmacy and Pharmaceutical Sciences Monash University Melbourne Victoria Australia
| | - Jaana Pentti
- Finnish Institute of Occupational Health Helsinki Finland.,Clinicum Faculty of Medicine University of Helsinki Finland
| | - Juha Hartikainen
- Heart Center Kuopio University Hospital Kuopio Finland.,School of Medicine University of Eastern Finland Kuopio Finland
| | - Jenni Ilomäki
- Centre for Medicine Use and Safety Faculty of Pharmacy and Pharmaceutical Sciences Monash University Melbourne Victoria Australia
| | - Soko Setoguchi
- Rutgers School of Public Health and Rutgers Robert Wood Johnson Medical School New Brunswick NJ
| | - Danny Liew
- School of Public Health and Preventive Medicine Monash University Melbourne Victoria Australia
| | - Mika Kivimäki
- Finnish Institute of Occupational Health Helsinki Finland.,Clinicum Faculty of Medicine University of Helsinki Finland.,Department of Epidemiology and Public Health University College London London United Kingdom
| | - Jussi Vahtera
- Department of Public Health University of Turku Finland.,Turku University Hospital Turku Finland
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6
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Zeraatkar D, Han MA, Guyatt GH, Vernooij RWM, El Dib R, Cheung K, Milio K, Zworth M, Bartoszko JJ, Valli C, Rabassa M, Lee Y, Zajac J, Prokop-Dorner A, Lo C, Bala MM, Alonso-Coello P, Hanna SE, Johnston BC. Red and Processed Meat Consumption and Risk for All-Cause Mortality and Cardiometabolic Outcomes: A Systematic Review and Meta-analysis of Cohort Studies. Ann Intern Med 2019; 171:703-710. [PMID: 31569213 DOI: 10.7326/m19-0655] [Citation(s) in RCA: 153] [Impact Index Per Article: 25.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
UNLABELLED This article has been corrected. The original version (PDF) is appended to this article as a Supplement. BACKGROUND Dietary guidelines generally recommend limiting intake of red and processed meat. However, the quality of evidence implicating red and processed meat in adverse health outcomes remains unclear. PURPOSE To evaluate the association between red and processed meat consumption and all-cause mortality, cardiometabolic outcomes, quality of life, and satisfaction with diet among adults. DATA SOURCES EMBASE (Elsevier), Cochrane Central Register of Controlled Trials (Wiley), Web of Science (Clarivate Analytics), CINAHL (EBSCO), and ProQuest from inception until July 2018 and MEDLINE from inception until April 2019, without language restrictions, as well as bibliographies of relevant articles. STUDY SELECTION Cohort studies with at least 1000 participants that reported an association between unprocessed red or processed meat intake and outcomes of interest. DATA EXTRACTION Teams of 2 reviewers independently extracted data and assessed risk of bias. One investigator assessed certainty of evidence, and the senior investigator confirmed the assessments. DATA SYNTHESIS Of 61 articles reporting on 55 cohorts with more than 4 million participants, none addressed quality of life or satisfaction with diet. Low-certainty evidence was found that a reduction in unprocessed red meat intake of 3 servings per week is associated with a very small reduction in risk for cardiovascular mortality, stroke, myocardial infarction (MI), and type 2 diabetes. Likewise, low-certainty evidence was found that a reduction in processed meat intake of 3 servings per week is associated with a very small decrease in risk for all-cause mortality, cardiovascular mortality, stroke, MI, and type 2 diabetes. LIMITATION Inadequate adjustment for known confounders, residual confounding due to observational design, and recall bias associated with dietary measurement. CONCLUSION The magnitude of association between red and processed meat consumption and all-cause mortality and adverse cardiometabolic outcomes is very small, and the evidence is of low certainty. PRIMARY FUNDING SOURCE None. (PROSPERO: CRD42017074074).
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Affiliation(s)
- Dena Zeraatkar
- McMaster University, Hamilton, Ontario, Canada (D.Z., G.H.G., K.C., K.M., M.Z., J.J.B., Y.L., S.E.H.)
| | - Mi Ah Han
- Chosun University, Gwangju, Republic of Korea (M.A.H.)
| | - Gordon H Guyatt
- McMaster University, Hamilton, Ontario, Canada (D.Z., G.H.G., K.C., K.M., M.Z., J.J.B., Y.L., S.E.H.)
| | - Robin W M Vernooij
- Netherlands Comprehensive Cancer Organisation (IKNL), Utrecht, the Netherlands, and Dalhousie University, Halifax, Nova Scotia, Canada (R.W.V.)
| | - Regina El Dib
- Science and Technology Institute, Universidade Estadual Paulista, São Paulo, Brazil, and Dalhousie University, Halifax, Nova Scotia, Canada (R.E.)
| | - Kevin Cheung
- McMaster University, Hamilton, Ontario, Canada (D.Z., G.H.G., K.C., K.M., M.Z., J.J.B., Y.L., S.E.H.)
| | - Kirolos Milio
- McMaster University, Hamilton, Ontario, Canada (D.Z., G.H.G., K.C., K.M., M.Z., J.J.B., Y.L., S.E.H.)
| | - Max Zworth
- McMaster University, Hamilton, Ontario, Canada (D.Z., G.H.G., K.C., K.M., M.Z., J.J.B., Y.L., S.E.H.)
| | - Jessica J Bartoszko
- McMaster University, Hamilton, Ontario, Canada (D.Z., G.H.G., K.C., K.M., M.Z., J.J.B., Y.L., S.E.H.)
| | - Claudia Valli
- Biomedical Research Institute San Pau (IIB Sant Pau), Barcelona, Spain (C.V., M.R.)
| | - Montserrat Rabassa
- Biomedical Research Institute San Pau (IIB Sant Pau), Barcelona, Spain (C.V., M.R.)
| | - Yung Lee
- McMaster University, Hamilton, Ontario, Canada (D.Z., G.H.G., K.C., K.M., M.Z., J.J.B., Y.L., S.E.H.)
| | - Joanna Zajac
- Jagiellonian University Medical College, Krakow, Poland (J.Z., A.P., M.M.B.)
| | - Anna Prokop-Dorner
- Jagiellonian University Medical College, Krakow, Poland (J.Z., A.P., M.M.B.)
| | - Calvin Lo
- University of British Columbia, Vancouver, British Columbia, Canada (C.L.)
| | - Malgorzata M Bala
- Jagiellonian University Medical College, Krakow, Poland (J.Z., A.P., M.M.B.)
| | - Pablo Alonso-Coello
- Biomedical Research Institute San Pau (IIB Sant Pau) and CIBER de Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain (P.A.)
| | - Steven E Hanna
- McMaster University, Hamilton, Ontario, Canada (D.Z., G.H.G., K.C., K.M., M.Z., J.J.B., Y.L., S.E.H.)
| | - Bradley C Johnston
- Dalhousie University, Halifax, Nova Scotia, Canada, and McMaster University, Hamilton, Ontario, Canada (B.C.J.)
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7
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Dagenais GR, Jung H, Lonn E, Bogaty PM, Dehghan M, Held C, Avezum A, Jansky P, Keltai M, Leiter LA, Lopez-Jaramillo P, Toff WD, Bosch J, Yusuf S. Effects of Lipid-Lowering and Antihypertensive Treatments in Addition to Healthy Lifestyles in Primary Prevention: An Analysis of the HOPE-3 Trial. J Am Heart Assoc 2018; 7:JAHA.118.008918. [PMID: 30033433 PMCID: PMC6201479 DOI: 10.1161/jaha.118.008918] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background It is not clear whether the effects of lipid‐lowering or antihypertensive medications are influenced by adherence to healthy lifestyle factors. We assessed the effects of both drug interventions in subgroups by the number of healthy lifestyle factors in participants in the HOPE‐3 (Heart Outcomes Prevention Evaluation) trial. Methods and Results In this primary prevention trial, 4 healthy lifestyle factors (nonsmoking status, physical activity, optimal body weight, and healthy diet) were recorded in 12 521 participants who were at intermediate risk of cardiovascular disease (CVD) and were randomized to rosuvastatin, candesartan/hydrochlorothiazide, their combination, or matched placebos. Median follow‐up was 5.6 years. The outcome was a composite of CVD events. Adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using Cox regression models. Participants with ≥2 healthy lifestyle factors had a lower rate of CVD compared with those with fewer factors (HR: 0.85; 95% CI, 0.73–1.00). Rosuvastatin reduced CVD events in participants with ≥2 healthy lifestyle factors (HR: 0.74; 95% CI, 0.62–0.90) and in participants with <2 factors (HR: 0.79; 95% CI, 0.61–1.01). Consistent results were observed with combination therapy (≥2 factors: HR: 0.74; 95% CI, 0.57–0.97; <2 factors: HR: 0.61; 95% CI, 0.43–0.88). Candesartan/hydrochlorothiazide tends to reduce CVD only in participants with <2 healthy lifestyle factors (HR: 0.78; 95% CI, 0.61–1.00). Conclusions Healthy lifestyles are associated with lower CVD. Rosuvastatin alone and combined with candesartan/hydrochlorothiazide is beneficial regardless of healthy lifestyle status; however, the benefit of antihypertensive treatment appears to be limited to patients with less healthy lifestyles. Clinical Trial Registration URL: https://www.clinicaltrials.gov. Unique identifier: NCT00239681.
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Affiliation(s)
- Gilles R Dagenais
- Quebec Heart and Lung University Institute, Laval University, Quebec City, Quebec, Canada
| | - Hyejung Jung
- Population Health Research Institute, Hamilton General Hospital, McMaster University, Hamilton, Ontario, Canada
| | - Eva Lonn
- Population Health Research Institute, Hamilton General Hospital, McMaster University, Hamilton, Ontario, Canada
| | - Peter M Bogaty
- Quebec Heart and Lung University Institute, Laval University, Quebec City, Quebec, Canada
| | - Mahshid Dehghan
- Population Health Research Institute, Hamilton General Hospital, McMaster University, Hamilton, Ontario, Canada
| | - Claes Held
- Department of Medical Sciences, Cardiology, Uppsala Clinical Research Center, Uppsala, Sweden
| | - Alvaro Avezum
- Dante Pazzanese Institute of Cardiology, University Santo Amaro, São Paulo, Brazil
| | - Petr Jansky
- University Hospital Motol, Prague, Czech Republic
| | | | - Lawrence A Leiter
- Li Ka Shing Knowledge Institute, St. Michael's Hospital and Departments of Medicine and Nutritional Sciences, University of Toronto, Ontario, Canada
| | - Patricio Lopez-Jaramillo
- Research Department, FOSCAL, Medical School, University of Santander (UDES), Bucaramanga, Colombia
| | - William D Toff
- Department of Cardiovascular Sciences, University of Leicester, and NIHR Leicester Biomedical Research Centre, Leicester, United Kingdom
| | - Jackie Bosch
- Population Health Research Institute, Hamilton General Hospital, McMaster University, Hamilton, Ontario, Canada
| | - Salim Yusuf
- Population Health Research Institute, Hamilton General Hospital, McMaster University, Hamilton, Ontario, Canada
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8
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Lu J, Mu Y, Su Q, Shi L, Liu C, Zhao J, Chen L, Li Q, Yang T, Yan L, Wan Q, Wu S, Liu Y, Wang G, Luo Z, Tang X, Chen G, Huo Y, Gao Z, Ye Z, Wang Y, Qin G, Deng H, Yu X, Shen F, Chen L, Zhao L, Sun J, Sun W, Wang T, Du R, Lin L, Dai M, Xu Y, Xu M, Bi Y, Lai S, Li D, Wang W, Ning G. Reduced Kidney Function Is Associated With Cardiometabolic Risk Factors, Prevalent and Predicted Risk of Cardiovascular Disease in Chinese Adults: Results From the REACTION Study. J Am Heart Assoc 2016; 5:JAHA.116.003328. [PMID: 27451464 PMCID: PMC5015372 DOI: 10.1161/jaha.116.003328] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background Chronic kidney disease (CKD) increases cardiovascular disease (CVD) risk. However, the association of mildly reduced kidney function with CVD risk is unclear. Methods and Results This study investigated the association of estimated glomerular filtration rate (eGFR) with prevalent CVDs, 10‐year Framingham risk for coronary heart disease (CHD), and 10‐year risk of atherosclerotic cardiovascular diseases (ASCVD) in 239 832 participants from the baseline of the Risk Evaluation of cAncers in Chinese diabeTic Individuals: a lONgitudinal study. With an interviewer‐assisted questionnaire, we collected information on CVD, including reported CHD, stroke, or myocardial infarction. Chronic Kidney Disease–Epidemiology Collaboration (CKD‐EPI) equation was used to calculate eGFR. Compared with individuals with normal eGFR (≥90 mL/min per 1.73 m2), those with decreased eGFR (75–89, 60–74, and <60 mL/min per 1.73 m2) had higher risk of prevalent obesity, diabetes mellitus, hypertension, and dyslipidemia in both men and women (P for trend all <0.001). Moreover, a significantly higher 10‐year Framingham risk for CHD and 10‐year risk for ASCVD was observed in both men and women with mildly decreased eGFR (60–89 mL/min per 1.73 m2). Conclusions Even mildly reduced eGFR (under 90 mL/min per 1.73 m2) is associated with elevated 10‐year Framingham risk for CHD and 10‐year ASCVD risk among Chinese adults.
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Affiliation(s)
- Jieli Lu
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, Shanghai Jiao-Tong University School of Medicine, Shanghai, China Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Yiming Mu
- Chinese People's Liberation Army General Hospital, Beijing, China
| | - Qing Su
- Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Lixin Shi
- Affiliated Hospital of Guiyang Medical College, Guiyang, China
| | - Chao Liu
- Jiangsu Province Hospital on Integration of Chinese and Western Medicine, Nanjing, China
| | - Jiajun Zhao
- Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China
| | - Lulu Chen
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qiang Li
- The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Tao Yang
- The First Affiliated Hospital with Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
| | - Li Yan
- Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Qin Wan
- The Affiliated Hospital of Luzhou Medical College, Luzhou, China
| | - Shengli Wu
- Karamay Municipal People's Hospital, Xinjiang, China
| | - Yan Liu
- The First Hospital of Jilin University, Changchun, China
| | - Guixia Wang
- The First Hospital of Jilin University, Changchun, China
| | - Zuojie Luo
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Xulei Tang
- The First Hospital of Lanzhou University, Lanzhou, China
| | - Gang Chen
- Fujian Provincial Hospital, Fujian Medical University, Fuzhou, China
| | - Yanan Huo
- Jiangxi People's Hospital, Nanchang, China
| | - Zhengnan Gao
- Dalian Municipal Central Hospital, Dalian, China
| | - Zhen Ye
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Youmin Wang
- The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Guijun Qin
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Huacong Deng
- The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xuefeng Yu
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Feixia Shen
- The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Li Chen
- Qilu Hospital of Shandong University, Jinan, China
| | - Liebin Zhao
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, Shanghai Jiao-Tong University School of Medicine, Shanghai, China Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Jichao Sun
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, Shanghai Jiao-Tong University School of Medicine, Shanghai, China Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Wanwan Sun
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, Shanghai Jiao-Tong University School of Medicine, Shanghai, China Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Tiange Wang
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, Shanghai Jiao-Tong University School of Medicine, Shanghai, China Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Rui Du
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, Shanghai Jiao-Tong University School of Medicine, Shanghai, China Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Lin Lin
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, Shanghai Jiao-Tong University School of Medicine, Shanghai, China Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Meng Dai
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, Shanghai Jiao-Tong University School of Medicine, Shanghai, China Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Yu Xu
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, Shanghai Jiao-Tong University School of Medicine, Shanghai, China Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Min Xu
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, Shanghai Jiao-Tong University School of Medicine, Shanghai, China Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Yufang Bi
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, Shanghai Jiao-Tong University School of Medicine, Shanghai, China Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Shenghan Lai
- Johns Hopkins University School of Medicine, Baltimore, MD
| | - Donghui Li
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Weiqing Wang
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, Shanghai Jiao-Tong University School of Medicine, Shanghai, China Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Guang Ning
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, Shanghai Jiao-Tong University School of Medicine, Shanghai, China Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
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9
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Meschia JF, Bushnell C, Boden-Albala B, Braun LT, Bravata DM, Chaturvedi S, Creager MA, Eckel RH, Elkind MSV, Fornage M, Goldstein LB, Greenberg SM, Horvath SE, Iadecola C, Jauch EC, Moore WS, Wilson JA. Guidelines for the primary prevention of stroke: a statement for healthcare professionals from the American Heart Association/American Stroke Association. Stroke 2014; 45:3754-832. [PMID: 25355838 PMCID: PMC5020564 DOI: 10.1161/str.0000000000000046] [Citation(s) in RCA: 1054] [Impact Index Per Article: 95.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The aim of this updated statement is to provide comprehensive and timely evidence-based recommendations on the prevention of stroke among individuals who have not previously experienced a stroke or transient ischemic attack. Evidence-based recommendations are included for the control of risk factors, interventional approaches to atherosclerotic disease of the cervicocephalic circulation, and antithrombotic treatments for preventing thrombotic and thromboembolic stroke. Further recommendations are provided for genetic and pharmacogenetic testing and for the prevention of stroke in a variety of other specific circumstances, including sickle cell disease and patent foramen ovale.
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10
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Wang Y, Katzmarzyk PT, Horswell R, Zhao W, Johnson J, Hu G. Kidney function and the risk of cardiovascular disease in patients with type 2 diabetes. Kidney Int 2014; 85:1192-9. [PMID: 24107845 PMCID: PMC4141539 DOI: 10.1038/ki.2013.396] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2013] [Revised: 08/15/2013] [Accepted: 08/22/2013] [Indexed: 01/27/2023]
Abstract
The association of estimated glomerular filtration rate (GFR) with cardiovascular disease risk among patients with type 2 diabetes is unclear. Here we prospectively investigated the race-specific association of estimated GFR with the risk of coronary heart disease and stroke among 11,940 Caucasian and 16,451 African-American patients. During mean follow-up of 6.1-6.8 years, 6647 coronary heart disease and 2750 stroke incident cases were identified. Age- and sex-adjusted hazard ratios of coronary heart disease associated with baseline estimated GFR (90 or more, 75-89, 60-74, 30-59, and 15-29 ml/min per 1.73 m2) were 1.00, 1.04, 1.13, 1.37, and 2.07 (significant trend) for African Americans, and 1.00, 1.09, 1.10, 1.31, and 2.18 (significant trend) for Caucasians, respectively. A significantly increased stroke risk was observed among both African-American and Caucasian participants with an estimated GFR under 60 ml/min per 1.73 m2. When using the updated mean values of estimated GFR, these significant associations became stronger. Participants with mildly decreased estimated GFR (60-89 ml/min per 1.73 m2) during follow-up were also at a significantly higher risk of coronary heart disease and stroke. Thus, even mildly reduced estimated GFR at baseline (under 75 ml/min per 1.73 m2) and during follow-up (under 90 ml/min per 1.73 m2) increased the risk of incident coronary heart disease and stroke among both African-American and Caucasian type 2 diabetes patients.
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Affiliation(s)
- Yujie Wang
- Pennington Biomedical Research Center, Baton Rouge, LA
- School of Human Ecology, Louisiana State University Agricultural Center, Baton Rouge, LA
| | | | - Ronald Horswell
- Pennington Biomedical Research Center, Baton Rouge, LA
- Health Care Service Division, Louisiana State University Health Science Center, Baton Rouge, LA
| | - Wenhui Zhao
- Pennington Biomedical Research Center, Baton Rouge, LA
| | - Jolene Johnson
- Earl K Long Medical Center, Louisiana State University Health Science Center, Baton Rouge, LA
| | - Gang Hu
- Pennington Biomedical Research Center, Baton Rouge, LA
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11
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Healthy lifestyle status, antihypertensive treatment and the risk of heart failure among Finnish men and women. J Hypertens 2013; 31:2158-64; discussion 2164. [DOI: 10.1097/hjh.0b013e328364136d] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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12
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Abstract
Cardiovascular disease is the most common cause of death in women in the United States, and hypertension is a major contributor to cardiovascular mortality. The incidence of hypertension in women is steadily increasing, paralleling the epidemics of obesity and diabetes. Blood pressure control rates among women are suboptimal, even when secondary causes are identified and treated. There are few high-quality data describing specific hypertension-related outcomes in women. Some data comparing hypertensive women to age-matched men suggest advantages to sex-specific strategies, but further study is needed to determine optimal regimens for women throughout their lives. Pregnancy and menopause present unique, complex challenges in hypertension management.
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