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Kim KH, Chung J, Jang S, Kim BK, Munakata M, Rhee MY. Prevalence and Characteristics of Isolated Nighttime Masked Uncontrolled Hypertension in Treated Patients. MEDICINA (KAUNAS, LITHUANIA) 2024; 60:1522. [PMID: 39336563 PMCID: PMC11434475 DOI: 10.3390/medicina60091522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/27/2024] [Revised: 09/14/2024] [Accepted: 09/17/2024] [Indexed: 09/30/2024]
Abstract
Background and Objectives: We evaluated the prevalence and characteristics of isolated nighttime masked uncontrolled hypertension (IN-MUCH) in treated patients. Materials and Methods: Participants aged 20 years or older who were on antihypertensive medication underwent three-day office blood pressure (BP) and 24 h ambulatory BP measurements. Hypertension phenotypes were classified as controlled hypertension (CH), isolated daytime masked uncontrolled hypertension (ID-MUCH), IN-MUCH, and daytime and nighttime masked uncontrolled hypertension (DN-MUCH). Results: Among 701 participants, 544 had valid BP data and controlled office BP (<140/90 mmHg). The prevalence of IN-MUCH was 34.9%, with a higher prevalence of men and drinkers than in those with CH. Patients with IN-MUCH had higher office systolic BP (SBP) and diastolic BP (DBP) than those with CH. The prevalence of IN-MUCH was 37.6%, 38.5%, and 27.9% in patients with optimal, normal, and high-normal office BP levels, respectively. Among IN-MUCH patients, 51.6% exhibited isolated uncontrolled DBP and 41.1% uncontrolled SBP and DBP. Younger age (p = 0.043), male sex (p = 0.033), and alcohol consumption (p = 0.011) were more prevalent in patients with isolated uncontrolled DBP than in those with uncontrolled SBP and DBP. Age and alcohol consumption were positively associated, whereas high-normal office BP exhibited a negative association with IN-MUCH. Conclusions: The IN-MUCH was significantly more prevalent in patients with normal or optimal office BP, posing treatment challenges. Further investigation is needed to determine whether differentiation between isolated uncontrolled DBP and combined uncontrolled SBP and DBP is necessary for prognostic assessment of IN-MUCH.
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Affiliation(s)
- Kang Hee Kim
- Department of Cardiology, Dongguk University Ilsan Hospital, Goyang-si 10326, Gyeonggi-do, Republic of Korea
| | - Jaehoon Chung
- Department of Cardiology, Dongguk University Ilsan Hospital, Goyang-si 10326, Gyeonggi-do, Republic of Korea
| | - Suyoung Jang
- Department of Cardiology, Dongguk University Ilsan Hospital, Goyang-si 10326, Gyeonggi-do, Republic of Korea
| | - Byong-Kyu Kim
- College of Medicine, Dongguk University, Gyeongju-si 38066, Gyeongsangbuk-do, Republic of Korea
| | - Masanori Munakata
- Division of Hypertension and Research Center for Lifestyle-Related Disease, Tohoku Rosai Hospital, Sendai 981-8563, Japan
| | - Moo-Yong Rhee
- Department of Cardiology, Dongguk University Ilsan Hospital, Goyang-si 10326, Gyeonggi-do, Republic of Korea
- College of Medicine, Dongguk University, Gyeongju-si 38066, Gyeongsangbuk-do, Republic of Korea
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2
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van Asten JGM, Ristori T, Nolan DR, Lally C, Baaijens FPT, Sahlgren CM, Loerakker S. Computational analysis of the role of mechanosensitive Notch signaling in arterial adaptation to hypertension. J Mech Behav Biomed Mater 2022; 133:105325. [PMID: 35839633 PMCID: PMC7613661 DOI: 10.1016/j.jmbbm.2022.105325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 06/03/2022] [Accepted: 06/18/2022] [Indexed: 11/29/2022]
Abstract
Arteries grow and remodel in response to mechanical stimuli. Hypertension, for example, results in arterial wall thickening. Cell-cell Notch signaling between vascular smooth muscle cells (VSMCs) is known to be involved in this process, but the underlying mechanisms are still unclear. Here, we investigated whether Notch mechanosensitivity to strain may regulate arterial thickening in hypertension. We developed a multiscale computational framework by coupling a finite element model of arterial mechanics, including residual stress, to an agent-based model of mechanosensitive Notch signaling, to predict VSMC phenotypes as an indicator of growth and remodeling. Our simulations revealed that the sensitivity of Notch to strain at mean blood pressure may be a key mediator of arterial thickening in hypertensive arteries. Further simulations showed that loss of residual stress can have synergistic effects with hypertension, and that changes in the expression of Notch receptors, but not Jagged ligands, may be used to control arterial growth and remodeling and to intensify or counteract hypertensive thickening. Overall, we identify Notch mechanosensitivity as a potential mediator of vascular adaptation, and we present a computational framework that can facilitate the testing of new therapeutic and regenerative strategies.
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Affiliation(s)
- Jordy G M van Asten
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands; Institute for Complex Molecular Systems, Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Tommaso Ristori
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands; Institute for Complex Molecular Systems, Eindhoven University of Technology, Eindhoven, the Netherlands
| | - David R Nolan
- School of Engineering and Trinity Centre for Biomedical Engineering, Trinity College Dublin, Dublin, Ireland
| | - Caitríona Lally
- School of Engineering and Trinity Centre for Biomedical Engineering, Trinity College Dublin, Dublin, Ireland
| | - Frank P T Baaijens
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands; Institute for Complex Molecular Systems, Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Cecilia M Sahlgren
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands; Institute for Complex Molecular Systems, Eindhoven University of Technology, Eindhoven, the Netherlands; Faculty of Science and Engineering, Biosciences, Åbo Akademi, Turku, Finland
| | - Sandra Loerakker
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands; Institute for Complex Molecular Systems, Eindhoven University of Technology, Eindhoven, the Netherlands.
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3
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Hao Y, Li X, Zhu Y, Ke J, Lou T, Li M, Wang C. Effect of age and isolated systolic or diastolic hypertension on target organ damage in non-dialysis patients with chronic kidney disease. Aging (Albany NY) 2021; 13:6144-6155. [PMID: 33619233 PMCID: PMC7950225 DOI: 10.18632/aging.202609] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Accepted: 01/21/2021] [Indexed: 01/11/2023]
Abstract
The aim of this study was to investigate associations between age-dependent variations in isolated systolic/diastolic hypertension (ISH/IDH) with target organ damage in chronic kidney disease (CKD). A cross-sectional study was conducted among 2,459 CKD patients with ambulatory blood pressure monitoring. Blood pressure was categorized into four groups: normotension, ISH, IDH, and systolic-diastolic hypertension. The outcome measurements were left ventricular mass index (LVMI), estimated glomerular filtration rate(eGFR), and urinary albumin creatinine ratio (ACR). Older patients (≥60-years-old) had a higher prevalence of ISH and a lower prevalence of IDH than younger patients (<60-years-old). In multivariate analysis, compared with the normotension group, younger patients with ISH were associated with higher LVMI (+14.4 g/m2), lower eGFR (−0.2 log units), and higher ACR (+0.5 log units); but younger patients with IDH were only associated with lower eGFR (−0.2 log units) and higher ACR (+0.4 log units). Among older patients, ISH was correlated with higher LVMI (+8.8 g/m2), lower eGFR (−0.2 log units), and higher ACR (+1.0 log units), whereas IDH was not associated with these renal/cardiovascular parameters. In conclusion, ISH was associated with a relatively high risk of target organ damage irrespective of age, whereas IDH was only correlated with renal injury in younger CKD patients.
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Affiliation(s)
- Yu Hao
- Division of Nephrology, Department of Medicine, The Fifth Affiliated Hospital Sun Yat-Sen University, Zhuhai 519000, Guangdong, China.,Guangdong Provincial Key Laboratory of Biomedical Imaging, The Fifth Affiliated Hospital Sun Yat-Sen University, Zhuhai 519000, Guangdong, China
| | - Xue Li
- Division of Nephrology, Department of Medicine, The Fifth Affiliated Hospital Sun Yat-Sen University, Zhuhai 519000, Guangdong, China.,Guangdong Provincial Key Laboratory of Biomedical Imaging, The Fifth Affiliated Hospital Sun Yat-Sen University, Zhuhai 519000, Guangdong, China
| | - Ye Zhu
- Division of Nephrology, Department of Medicine, The Fifth Affiliated Hospital Sun Yat-Sen University, Zhuhai 519000, Guangdong, China.,Guangdong Provincial Key Laboratory of Biomedical Imaging, The Fifth Affiliated Hospital Sun Yat-Sen University, Zhuhai 519000, Guangdong, China
| | - Jianting Ke
- Division of Nephrology, Department of Medicine, The Fifth Affiliated Hospital Sun Yat-Sen University, Zhuhai 519000, Guangdong, China.,Guangdong Provincial Key Laboratory of Biomedical Imaging, The Fifth Affiliated Hospital Sun Yat-Sen University, Zhuhai 519000, Guangdong, China
| | - Tanqi Lou
- Division of Nephrology, Department of Medicine, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, Guangdong, China
| | - Man Li
- Guangdong Provincial Key Laboratory of Biomedical Imaging, The Fifth Affiliated Hospital Sun Yat-Sen University, Zhuhai 519000, Guangdong, China
| | - Cheng Wang
- Division of Nephrology, Department of Medicine, The Fifth Affiliated Hospital Sun Yat-Sen University, Zhuhai 519000, Guangdong, China.,Guangdong Provincial Key Laboratory of Biomedical Imaging, The Fifth Affiliated Hospital Sun Yat-Sen University, Zhuhai 519000, Guangdong, China.,Division of Nephrology, Department of Medicine, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, Guangdong, China
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4
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Geltser BI, Shakhgeldyan KI, Nazarov DA, Vetrova OО, Kotelnikov VN, Karpov RS. [Machine Learning Methods in Assessing the Risks of Target Organ Damage in Masked Hypertension]. ACTA ACUST UNITED AC 2020; 60:883. [PMID: 32515711 DOI: 10.18087/cardio.2020.5.n883] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Accepted: 03/18/2020] [Indexed: 11/18/2022]
Abstract
Aim To develop models for predicting the risk of target organs damage (TOD) in different phenotypes of "masked" arterial hypertension (MAH) based on methods of machine learning (ML).Material and methods A retrospective cohort analysis was performed for 284 clinical records of patients (261 males, 23 females; median age, 38 years). Group 1 included 125 patients with grade 1-2 arterial hypertension (AH) and low or moderate risk; group 2 included 159 subjects with normal "office" blood pressure (BP) exposed to chronic professional stress. The 24-h BP monitoring (24-h BPM) and ultrasound examination of the heart and carotid arteries were performed; glomerular filtration rate (GFR) was estimated using the СКD-EPI formula. MAH was phenotyped by clustering 24-h BPM data, and the risk of TOD was predicted by analysis of odd ratios (OR) and with the ML methods, random forest (RF) and artificial neural networks (ANN). Data were analyzed using the R language in the RStudio environment.Results According to results of the 24-h BPM and cluster analysis, 121 (76.1 %) subjects of group 2 had MAH. The MAH phenotypes were identified as follows: systolic-diastolic (SDMAH) (43.8 %); isolated systolic (ISMAH) (35.5 %), and isolated diastolic (IDMAH) (20.7%). As compared to stable AH, subjects with different MAH phenotypes showed both increases and decreases in individual 24-h BPM indexes. Thus, in subjects with IDMAH, mean 24-h values of systolic and diastolic BP were significantly lower than with AH while in SDMAH, they were considerably higher. The OR analysis demonstrated that odds of differently located TOD were associated with definite MAH phenotypes. With that, ISMAH was associated with the highest risk of glomerular hyperfiltration; IDMAH was associated with reduced GFR and vascular remodeling; and SDMAH was associated with left ventricular myocardial hypertrophy. The developed models for predicting the risk of TOD based on the RF and ANN methods showed a high accuracy, which was provided by multistep procedures of selecting the predictors and cross-validation.Conclusion Modern ML technologies enhance the risk stratification of patients with different clinical variants of AH.
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Affiliation(s)
- B I Geltser
- School of Biomedicine, Far-East Federal University, Vladivostok, Russia
| | - K I Shakhgeldyan
- School of Biomedicine, Far-East Federal University, Vladivostok, Russia, Institute of Informational Technologies, Vladivostok State University of Economics and Service, Vladivostok, Russia
| | - D A Nazarov
- Institute of Automation and Control Processes, Vladivostok, Russia
| | - O О Vetrova
- School of Biomedicine, Far-East Federal University, Vladivostok, Russia
| | - V N Kotelnikov
- School of Biomedicine, Far-East Federal University, Vladivostok, Russia
| | - R S Karpov
- Research Institute of Cardiology, Tomsk National Research Medical Center, Tomsk, Russia
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5
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Zhang DY, Cheng YB, Guo QH, Wang Y, Sheng CS, Huang QF, An DW, Li MX, Huang JF, Xu TY, Wang JG, Li Y. Subtypes of masked hypertension and target organ damage in untreated outpatients. Blood Press 2020; 29:299-307. [PMID: 32400191 DOI: 10.1080/08037051.2020.1763159] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Affiliation(s)
- Dong-Yan Zhang
- Center for Epidemiological Studies and Clinical Trials and Center for Vascular Evaluations, Shanghai Key Lab of Hypertension, Shanghai Institute of Hypertension, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yi-Bang Cheng
- Center for Epidemiological Studies and Clinical Trials and Center for Vascular Evaluations, Shanghai Key Lab of Hypertension, Shanghai Institute of Hypertension, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Qian-Hui Guo
- Center for Epidemiological Studies and Clinical Trials and Center for Vascular Evaluations, Shanghai Key Lab of Hypertension, Shanghai Institute of Hypertension, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Ying Wang
- Center for Epidemiological Studies and Clinical Trials and Center for Vascular Evaluations, Shanghai Key Lab of Hypertension, Shanghai Institute of Hypertension, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Chang-Sheng Sheng
- Center for Epidemiological Studies and Clinical Trials and Center for Vascular Evaluations, Shanghai Key Lab of Hypertension, Shanghai Institute of Hypertension, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Qi-Fang Huang
- Center for Epidemiological Studies and Clinical Trials and Center for Vascular Evaluations, Shanghai Key Lab of Hypertension, Shanghai Institute of Hypertension, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - De-Wei An
- Center for Epidemiological Studies and Clinical Trials and Center for Vascular Evaluations, Shanghai Key Lab of Hypertension, Shanghai Institute of Hypertension, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Ming-Xuan Li
- Center for Epidemiological Studies and Clinical Trials and Center for Vascular Evaluations, Shanghai Key Lab of Hypertension, Shanghai Institute of Hypertension, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Jian-Feng Huang
- Center for Epidemiological Studies and Clinical Trials and Center for Vascular Evaluations, Shanghai Key Lab of Hypertension, Shanghai Institute of Hypertension, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Ting-Yan Xu
- Center for Epidemiological Studies and Clinical Trials and Center for Vascular Evaluations, Shanghai Key Lab of Hypertension, Shanghai Institute of Hypertension, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Ji-Guang Wang
- Center for Epidemiological Studies and Clinical Trials and Center for Vascular Evaluations, Shanghai Key Lab of Hypertension, Shanghai Institute of Hypertension, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yan Li
- Center for Epidemiological Studies and Clinical Trials and Center for Vascular Evaluations, Shanghai Key Lab of Hypertension, Shanghai Institute of Hypertension, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
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6
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Mahajan S, Zhang D, He S, Lu Y, Gupta A, Spatz ES, Lu J, Huang C, Herrin J, Liu S, Yang J, Wu C, Cui J, Zhang Q, Li X, Nasir K, Zheng X, Krumholz HM, Li J. Prevalence, Awareness, and Treatment of Isolated Diastolic Hypertension: Insights From the China PEACE Million Persons Project. J Am Heart Assoc 2019; 8:e012954. [PMID: 31566101 PMCID: PMC6806046 DOI: 10.1161/jaha.119.012954] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Background Characterizing and assessing the prevalence, awareness, and treatment patterns of patients with isolated diastolic hypertension (IDH) can generate new knowledge and highlight opportunities to improve their care. Methods and Results We used data from the China PEACE (Patient-centered Evaluative Assessment of Cardiac Events) Million Persons Project, which screened 2 351 035 participants aged 35 to 75 years between 2014 and 2018. IDH was defined as systolic and diastolic blood pressure of <140 and ≥90 mm Hg; awareness as self-reported diagnosis of hypertension; and treatment as current use of antihypertensive medications. Of the 2 310 184 participants included (mean age 55.7 years; 59.5% women); 73 279 (3.2%) had IDH, of whom 63 112 (86.1%) were untreated, and only 6512 (10.3%) of the untreated were aware of having hypertension. When compared with normotensives, participants who were <60 years, men, at least college educated, had body mass index of >28 kg/m2, consumed alcohol, had diabetes mellitus, and prior cardiovascular events were more likely to have IDH (all P<0.01). Among those with IDH, higher likelihood of awareness was associated with increased age, women, college education, body mass index of >28 kg/m2, higher income, diabetes mellitus, prior cardiovascular events, and Central or Eastern region (all P<0.05). Most treated participants with IDH reported taking only 1 class of antihypertensive medication. Conclusions IDH affects a substantial number of people in China, however, few are aware of having hypertension and most treated participants are poorly managed, which suggests the need to improve the diagnosis and treatment of people with IDH.
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Affiliation(s)
- Shiwani Mahajan
- NHC Key Laboratory of Clinical Research for Cardiovascular Medications National Clinical Research Center of Cardiovascular Diseases Fuwai Hospital National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.,Central China Subcenter of the National Center for Cardiovascular Diseases Henan China.,Center for Outcomes Research and Evaluation Yale-New Haven Hospital New Haven CT.,Section of Cardiovascular Medicine Department of Internal Medicine Yale School of Medicine New Haven CT
| | - Danwei Zhang
- NHC Key Laboratory of Clinical Research for Cardiovascular Medications National Clinical Research Center of Cardiovascular Diseases Fuwai Hospital National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
| | - Siyun He
- NHC Key Laboratory of Clinical Research for Cardiovascular Medications National Clinical Research Center of Cardiovascular Diseases Fuwai Hospital National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.,Central China Subcenter of the National Center for Cardiovascular Diseases Henan China.,Center for Outcomes Research and Evaluation Yale-New Haven Hospital New Haven CT.,Department of Biostatistics School of Public Health Yale University New Haven CT
| | - Yuan Lu
- NHC Key Laboratory of Clinical Research for Cardiovascular Medications National Clinical Research Center of Cardiovascular Diseases Fuwai Hospital National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.,Central China Subcenter of the National Center for Cardiovascular Diseases Henan China.,Center for Outcomes Research and Evaluation Yale-New Haven Hospital New Haven CT
| | - Aakriti Gupta
- NHC Key Laboratory of Clinical Research for Cardiovascular Medications National Clinical Research Center of Cardiovascular Diseases Fuwai Hospital National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.,Central China Subcenter of the National Center for Cardiovascular Diseases Henan China.,Center for Outcomes Research and Evaluation Yale-New Haven Hospital New Haven CT.,Section of Cardiovascular Medicine Columbia University New York NY
| | - Erica S Spatz
- NHC Key Laboratory of Clinical Research for Cardiovascular Medications National Clinical Research Center of Cardiovascular Diseases Fuwai Hospital National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.,Central China Subcenter of the National Center for Cardiovascular Diseases Henan China.,Center for Outcomes Research and Evaluation Yale-New Haven Hospital New Haven CT.,Section of Cardiovascular Medicine Department of Internal Medicine Yale School of Medicine New Haven CT
| | - Jiapeng Lu
- NHC Key Laboratory of Clinical Research for Cardiovascular Medications National Clinical Research Center of Cardiovascular Diseases Fuwai Hospital National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
| | - Chenxi Huang
- NHC Key Laboratory of Clinical Research for Cardiovascular Medications National Clinical Research Center of Cardiovascular Diseases Fuwai Hospital National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.,Central China Subcenter of the National Center for Cardiovascular Diseases Henan China.,Center for Outcomes Research and Evaluation Yale-New Haven Hospital New Haven CT
| | - Jeph Herrin
- Section of Cardiovascular Medicine Department of Internal Medicine Yale School of Medicine New Haven CT
| | - Shuling Liu
- NHC Key Laboratory of Clinical Research for Cardiovascular Medications National Clinical Research Center of Cardiovascular Diseases Fuwai Hospital National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.,Central China Subcenter of the National Center for Cardiovascular Diseases Henan China.,Center for Outcomes Research and Evaluation Yale-New Haven Hospital New Haven CT
| | - Jingwei Yang
- NHC Key Laboratory of Clinical Research for Cardiovascular Medications National Clinical Research Center of Cardiovascular Diseases Fuwai Hospital National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
| | - Chaoqun Wu
- NHC Key Laboratory of Clinical Research for Cardiovascular Medications National Clinical Research Center of Cardiovascular Diseases Fuwai Hospital National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
| | - Jianlan Cui
- NHC Key Laboratory of Clinical Research for Cardiovascular Medications National Clinical Research Center of Cardiovascular Diseases Fuwai Hospital National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
| | - Qiuli Zhang
- NHC Key Laboratory of Clinical Research for Cardiovascular Medications National Clinical Research Center of Cardiovascular Diseases Fuwai Hospital National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
| | - Xi Li
- NHC Key Laboratory of Clinical Research for Cardiovascular Medications National Clinical Research Center of Cardiovascular Diseases Fuwai Hospital National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.,Central China Subcenter of the National Center for Cardiovascular Diseases Henan China
| | - Khurram Nasir
- NHC Key Laboratory of Clinical Research for Cardiovascular Medications National Clinical Research Center of Cardiovascular Diseases Fuwai Hospital National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.,Central China Subcenter of the National Center for Cardiovascular Diseases Henan China.,Center for Outcomes Research and Evaluation Yale-New Haven Hospital New Haven CT.,Section of Cardiovascular Medicine Department of Internal Medicine Yale School of Medicine New Haven CT
| | - Xin Zheng
- NHC Key Laboratory of Clinical Research for Cardiovascular Medications National Clinical Research Center of Cardiovascular Diseases Fuwai Hospital National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.,Central China Subcenter of the National Center for Cardiovascular Diseases Henan China
| | - Harlan M Krumholz
- NHC Key Laboratory of Clinical Research for Cardiovascular Medications National Clinical Research Center of Cardiovascular Diseases Fuwai Hospital National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.,Central China Subcenter of the National Center for Cardiovascular Diseases Henan China.,Center for Outcomes Research and Evaluation Yale-New Haven Hospital New Haven CT.,Section of Cardiovascular Medicine Department of Internal Medicine Yale School of Medicine New Haven CT.,Department of Health Policy and Management Yale School of Public Health New Haven CT
| | - Jing Li
- NHC Key Laboratory of Clinical Research for Cardiovascular Medications National Clinical Research Center of Cardiovascular Diseases Fuwai Hospital National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.,Central China Subcenter of the National Center for Cardiovascular Diseases Henan China
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7
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Hao G, Wang X, Treiber FA, Harshfield G, Kapuku G, Su S. Blood Pressure Trajectories From Childhood to Young Adulthood Associated With Cardiovascular Risk: Results From the 23-Year Longitudinal Georgia Stress and Heart Study. Hypertension 2017; 69:435-442. [PMID: 28093467 DOI: 10.1161/hypertensionaha.116.08312] [Citation(s) in RCA: 110] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2016] [Revised: 08/22/2016] [Accepted: 11/18/2016] [Indexed: 01/12/2023]
Abstract
The purpose of this study is to identify subgroups of individuals with similar trajectories in blood pressure (BP) from childhood to young adulthood and to determine the relationship of BP trajectories with carotid intima-media thickness (IMT) and left ventricular mass index (LVMI). BP was measured ≤16 times during a 23-year period in 683 participants from childhood to young adulthood. IMT and LVMI were measured in 551 participants and 546 participants, respectively. Using latent class models, 3 trajectory groups in BP from childhood to young adulthood were identified, including high-increasing, moderate-increasing, and low-increasing groups. We found that trajectory of systolic BP was a significant predictor of both IMT and LVMI with increased rate of growth in systolic BP associated with higher levels of IMT and LVMI (Pfor trend <0.001). Similar to the BP trajectory groups from childhood to young adulthood, 3 trajectory groups in BP during childhood (≤18 years) were identified, and participants in the high-increasing group had thicker IMT (P<0.001) and increased LVMI (P=0.043) in comparison with those in the low-increasing group. Results were similar for mid-BP trajectories but not for diastolic BP trajectories. Our results suggested that different BP trajectories exist from childhood to young adulthood, and the trajectories were independently associated with IMT and LVMI. We, for the first time, reported the association between systolic BP trajectories derived from childhood with subclinical cardiovascular risk in young adulthood, indicating that monitoring trajectories of BP from childhood may help identify a high cardiovascular risk population in early life.
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Affiliation(s)
- Guang Hao
- From the Georgia Prevention Institute, Department of Pediatrics, Medical College of Georgia, Augusta University (G.H., X.W., G.H., G.K., S.S.); and Technology Applications Center for Healthful Lifestyles, Colleges of Nursing and Medicine, Medical University of South Carolina, Charleston (F.A.T.)
| | - Xiaoling Wang
- From the Georgia Prevention Institute, Department of Pediatrics, Medical College of Georgia, Augusta University (G.H., X.W., G.H., G.K., S.S.); and Technology Applications Center for Healthful Lifestyles, Colleges of Nursing and Medicine, Medical University of South Carolina, Charleston (F.A.T.)
| | - Frank A Treiber
- From the Georgia Prevention Institute, Department of Pediatrics, Medical College of Georgia, Augusta University (G.H., X.W., G.H., G.K., S.S.); and Technology Applications Center for Healthful Lifestyles, Colleges of Nursing and Medicine, Medical University of South Carolina, Charleston (F.A.T.)
| | - Gregory Harshfield
- From the Georgia Prevention Institute, Department of Pediatrics, Medical College of Georgia, Augusta University (G.H., X.W., G.H., G.K., S.S.); and Technology Applications Center for Healthful Lifestyles, Colleges of Nursing and Medicine, Medical University of South Carolina, Charleston (F.A.T.)
| | - Gaston Kapuku
- From the Georgia Prevention Institute, Department of Pediatrics, Medical College of Georgia, Augusta University (G.H., X.W., G.H., G.K., S.S.); and Technology Applications Center for Healthful Lifestyles, Colleges of Nursing and Medicine, Medical University of South Carolina, Charleston (F.A.T.)
| | - Shaoyong Su
- From the Georgia Prevention Institute, Department of Pediatrics, Medical College of Georgia, Augusta University (G.H., X.W., G.H., G.K., S.S.); and Technology Applications Center for Healthful Lifestyles, Colleges of Nursing and Medicine, Medical University of South Carolina, Charleston (F.A.T.).
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8
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Vascular Health in American Football Players: Cardiovascular Risk Increased in Division III Players. Int J Vasc Med 2016; 2016:6851256. [PMID: 26904291 PMCID: PMC4745823 DOI: 10.1155/2016/6851256] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2015] [Revised: 12/29/2015] [Accepted: 01/03/2016] [Indexed: 01/17/2023] Open
Abstract
Studies report that football players have high blood pressure (BP) and increased cardiovascular risk. There are over 70,000 NCAA football players and 450 Division III schools sponsor football programs, yet limited research exists on vascular health of athletes. This study aimed to compare vascular and cardiovascular health measures between football players and nonathlete controls. Twenty-three athletes and 19 nonathletes participated. Vascular health measures included flow-mediated dilation (FMD) and carotid artery intima-media thickness (IMT). Cardiovascular measures included clinic and 24 hr BP levels, body composition, VO2 max, and fasting glucose/cholesterol levels. Compared to controls, football players had a worse vascular and cardiovascular profile. Football players had thicker carotid artery IMT (0.49 ± 0.06 mm versus 0.46 ± 0.07 mm) and larger brachial artery diameter during FMD (4.3 ± 0.5 mm versus 3.7 ± 0.6 mm), but no difference in percent FMD. Systolic BP was significantly higher in football players at all measurements: resting (128.2 ± 6.4 mmHg versus 122.4 ± 6.8 mmHg), submaximal exercise (150.4 ± 18.8 mmHg versus 137.3 ± 9.5 mmHg), maximal exercise (211.3 ± 25.9 mmHg versus 191.4 ± 19.2 mmHg), and 24-hour BP (124.9 ± 6.3 mmHg versus 109.8 ± 3.7 mmHg). Football players also had higher fasting glucose (91.6 ± 6.5 mg/dL versus 86.6 ± 5.8 mg/dL), lower HDL (36.5 ± 11.2 mg/dL versus 47.1 ± 14.8 mg/dL), and higher body fat percentage (29.2 ± 7.9% versus 23.2 ± 7.0%). Division III collegiate football players remain an understudied population and may be at increased cardiovascular risk.
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