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Hrabak Paar M, Muršić M, Bremerich J, Heye T. Cardiovascular Aging and Risk Assessment: How Multimodality Imaging Can Help. Diagnostics (Basel) 2024; 14:1947. [PMID: 39272731 PMCID: PMC11393882 DOI: 10.3390/diagnostics14171947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2024] [Revised: 08/28/2024] [Accepted: 08/29/2024] [Indexed: 09/15/2024] Open
Abstract
Aging affects the cardiovascular system, and this process may be accelerated in individuals with cardiovascular risk factors. The main vascular changes include arterial wall thickening, calcification, and stiffening, together with aortic dilatation and elongation. With aging, we can observe left ventricular hypertrophy with myocardial fibrosis and left atrial dilatation. These changes may lead to heart failure and atrial fibrillation. Using multimodality imaging, including ultrasound, computed tomography (CT), and magnetic resonance imaging, it is possible to detect these changes. Additionally, multimodality imaging, mainly via CT measurements of coronary artery calcium or ultrasound carotid intima-media thickness, enables advanced cardiovascular risk stratification and helps in decision-making about preventive strategies. The focus of this manuscript is to briefly review cardiovascular changes that occur with aging, as well as to describe how multimodality imaging may be used for the assessment of these changes and risk stratification of asymptomatic individuals.
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Affiliation(s)
- Maja Hrabak Paar
- Department of Diagnostic and Interventional Radiology, University Hospital Center Zagreb, Kispaticeva 12, HR-10000 Zagreb, Croatia
| | - Miroslav Muršić
- Department of Diagnostic and Interventional Radiology, University Hospital Center Zagreb, Kispaticeva 12, HR-10000 Zagreb, Croatia
| | - Jens Bremerich
- Clinic of Radiology and Nuclear Medicine, University of Basel Hospital, Petersgraben 4, CH-4031 Basel, Switzerland
| | - Tobias Heye
- Clinic of Radiology and Nuclear Medicine, University of Basel Hospital, Petersgraben 4, CH-4031 Basel, Switzerland
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Gu O, He B, Xiong L, Zhang Y, Li Z, Lang X. Reconstructive interpolation for pulse wave estimation to improve local PWV measurement of carotid artery. Med Biol Eng Comput 2024; 62:1459-1473. [PMID: 38252371 DOI: 10.1007/s11517-023-03008-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2022] [Accepted: 12/21/2023] [Indexed: 01/23/2024]
Abstract
Ultrasonic transit time (TT)-based local pulse wave velocity (PWV) measurement is defined as the distance between two beam positions on a segment of common carotid artery (CCA) divided by the TT in the pulse wave propagation. However, the arterial wall motions (AWMs) estimated from ultrasonic radio frequency (RF) signals with a limited number of frames using the motion tracking are typically discrete. In this work, we develop a method involving motion tracking combined with reconstructive interpolation (MTRI) to reduce the quantification errors in the estimated PWs, and thereby improve the accuracy of the TT-based local PWV measurement for CCA. For each beam position, normalized cross-correlation functions (NCCFs) between the reference (the first frame) and comparison (the remaining frames) RF signals are calculated. Thereafter, the reconstructive interpolation is performed in the neighborhood of the NCCFs' peak to identify the interpolation-deduced peak locations, which are more exact than the original ones. According to which, the improved AWMs are obtained to calculate their TT along a segment of the CCA. Finally, the local PWV is measured by applying a linear regression fit to the time-distance result. In ultrasound simulations based on the pulse wave propagation models of young, middle-aged, and elderly groups, the MTRI method with different numbers of interpolated samples was used to estimate AWMs and local PWVs. Normalized root mean squared errors (NRMSEs) between the estimated and preset values of the AWMs and local PWVs were calculated and compared with ones without interpolation. The means of the NRMSEs for the AWMs and local PWVs based on the MTRI method with one interpolated sample decrease from 1.14% to 0.60% and 7.48% to 4.61%, respectively. Moreover, Bland-Altman analysis and coefficient of variation were used to validate the performance of the MTRI method based on the measured local PWVs of 30 healthy subjects. In conclusion, the reconstructive interpolation for the pulse wave estimation improves the accuracy and repeatability of the carotid local PWV measurement.
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Affiliation(s)
- Ouyang Gu
- Department of Electronic Engineering, Information School, Yunnan University, Kunming, 650091, Yunnan, China
| | - Bingbing He
- Department of Electronic Engineering, Information School, Yunnan University, Kunming, 650091, Yunnan, China.
| | - Li Xiong
- Department of Electronic Engineering, Information School, Yunnan University, Kunming, 650091, Yunnan, China
| | - Yufeng Zhang
- Department of Electronic Engineering, Information School, Yunnan University, Kunming, 650091, Yunnan, China
| | - Zhiyao Li
- Department of Ultrasound, the Third Affiliated Hospital of Kunming Medical College, Kunming, 650118, China
| | - Xun Lang
- Department of Electronic Engineering, Information School, Yunnan University, Kunming, 650091, Yunnan, China
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Maqsood R, Khattab A, Bennett AN, Boos CJ. Reliability of carotid-femoral arterial waveforms for the derivation of ultra-short term heart rate variability in injured British servicemen: An inter-rater reliability study. PLoS One 2023; 18:e0290618. [PMID: 37656708 PMCID: PMC10473479 DOI: 10.1371/journal.pone.0290618] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Accepted: 08/12/2023] [Indexed: 09/03/2023] Open
Abstract
In this study, the comparative precision of carotid versus femoral arterial waveforms to measure ultra-short term heart rate variability (HRVUST) following traumatic injury was investigated for the first time. This was an inter-rater reliability study of 50 British servicemen (aged 23-44 years) with non-acute combat-related traumatic injury (CRTI). Paired continuous arterial waveform data for HRVUST analysis, were simultaneously sampled at the carotid and femoral arterial sites (14-16 seconds) during pulse wave velocity (PWV) measurement. HRVUST was reported as the root mean square of the successive differences (RMSSD). Following the determination of the superior sampling site (carotid versus femoral), the blinded inter-rater agreement in RMSSD for the preferred site was quantified using the Intra-class Correlation Coefficient (ICC) and the Bland-Altman plot. The mean age of participants was 34.06±4.88 years. The femoral site was superior to the carotid site with a significantly higher number of reliable signals obtained (Fisher's Exact test; p<0.001). The inter-rater agreement in femoral-derived RMSSD was excellent [ICC 0.99 (95%CI: 0.994-0.997)] with a moderate level of agreement (mean difference [bias]: 0.55; 95% CI: -0.13-1.24 ms). In this study, we demonstrated that the femoral artery is a more reliable site than the carotid artery for HRVUST measurement and post-trauma risk stratification following CRTI.
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Affiliation(s)
- Rabeea Maqsood
- Faculty of Health and Social Sciences, Bournemouth University, Bournemouth, United Kingdom
- National Heart and Lung Institute, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Ahmed Khattab
- Faculty of Health and Social Sciences, Bournemouth University, Bournemouth, United Kingdom
| | - Alexander N. Bennett
- National Heart and Lung Institute, Faculty of Medicine, Imperial College London, London, United Kingdom
- Academic Department of Military Rehabilitation, Defence Medical Rehabilitation Centre, Stanford Hall, Loughborough, United Kingdom
| | - Christopher J. Boos
- Faculty of Health and Social Sciences, Bournemouth University, Bournemouth, United Kingdom
- Department of Cardiology, University Hospital Dorset, NHS Trust, Poole, United Kingdom
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4
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Djurić B, Žikić K, Nestorović Z, Lepojević-Stefanović D, Milošević N, Žikić D. Using the photoplethysmography method to monitor age-related changes in the cardiovascular system. Front Physiol 2023; 14:1191272. [PMID: 37538374 PMCID: PMC10394700 DOI: 10.3389/fphys.2023.1191272] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 07/10/2023] [Indexed: 08/05/2023] Open
Abstract
Introduction: Aging is a physiological process characterized by progressive changes in all organ systems. In the last few decades, the elderly population has been growing, so the scientific community is focusing on the investigation of the aging process, all in order to improve the quality of life in elderly. One of the biggest challenges in studying the impact of the aging on the human body represents the monitoring of the changes that inevitably occur in arterial blood vessels. Therefore, the medical community has invested a great deal of effort in studying and discovering new methods and tools that could be used to monitor the changes in arterial blood vessels caused by the aging process. The goal of our research was to develop a new diagnostic method using a photoplethysmographic sensor and to examine the impact of the aging process on the cardiovascular system in adults. Long-term recorded arterial blood flow waveforms were analyzed using detrended fluctuation analysis. Materials and Methods: The study included 117 respondents, aged 20-70 years. The waveform of the arterial blood flow was recorded for 5 min, with an optical sensor placed above the left common carotid artery, simultaneously with a single-channel ECG. For each cardiac cycle, the blood flow amplitude was determined, and a new time series was formed, which was analyzed non-linearly (DFA method). The values of the scalar coefficients α 1 and α 2, particularly their ratio (α 1/α 2) were obtained, which were then monitored in relation to the age of the subjects. Result: The values of the scalar ratio (α 1/α 2) were significantly different between the subjects older and younger than 50 years. The value of the α 1/α 2 decreased exponentially with the aging. In the population of middle-aged adults, this ratio had a value around 1, in young adults the value was exclusively higher than 1 and in older adults the value was exclusively lower than 1. Conclusion: The results of this study indicated that the aging led to a decrease in the α 1/α 2 in the population of healthy subjects. With this non-invasive method, changes in the cardiovascular system due to aging can be detected and monitored.
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Affiliation(s)
- Biljana Djurić
- Institute of Physiology, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Katarina Žikić
- Faculty of Physics, University of Belgrade, Belgrade, Serbia
| | - Zorica Nestorović
- Institute of Biophysics, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | | | - Nebojša Milošević
- Institute of Biophysics, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Dejan Žikić
- Institute of Biophysics, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
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Alhalimi TA, Wang T, Meyer ML, Tanaka H. Effects of body positions on arterial stiffness as assessed by pulse wave velocity. J Hypertens 2023; 41:971-978. [PMID: 37016919 DOI: 10.1097/hjh.0000000000003418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/06/2023]
Abstract
BACKGROUND Assessing arterial stiffness through pulse wave velocity (PWV) usually requires participants to be in a supine position. If this position is not feasible, adjustments such as tilting the bed or bending the knees may be made. The Vicorder device also recommends tilting the upper body to prevent jugular vein interference in the recorded carotid pulse. OBJECTIVE To examine the impact of varying body positions on PWV. METHODS Seventy adults were studied in the fully supine (0°) to 40° upper body tilted-up positions with and without knee bend. Carotid-femoral PWV (cfPWV) was measured using two different testing devices (Omron VP-1000plus and Vicorder) and brachial-ankle PWV (baPWV) was measured using Omron. RESULTS cfPWV measured at 10° tilt-up was not different from 0° position while baPWV increased significantly from 10°. Elevations in cfPWV were 7% at 20° and 15% at 40° compared with 0° position. Knee bend did not affect cfPWV but decreased baPWV at each angle ( P < 0.05). Jugular vein interference on the Vicorder was observed in 78% of participants in supine position, decreasing as body angle increased (7% at 30°). However, cfPWV values measured by Vicorder were consistent with those obtained by Omron even with jugular vein interference. CONCLUSION Arterial stiffness assessed by PWV increased gradually and significantly in semi-Fowler's position ≥20°. Knee bend decreased baPWV but did not seem to affect cfPWV. PWV should be measured in supine position if possible. If the supine posture is not tolerated, knee bend followed by a slight incline position may be recommended.
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Affiliation(s)
- Taha A Alhalimi
- Cardiovascular Aging Research Laboratory, Department of Kinesiology and Health Education, The University of Texas at Austin, Austin, Texas
| | - Tianyu Wang
- Cardiovascular Aging Research Laboratory, Department of Kinesiology and Health Education, The University of Texas at Austin, Austin, Texas
| | - Michelle L Meyer
- Department of Emergency Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Hirofumi Tanaka
- Cardiovascular Aging Research Laboratory, Department of Kinesiology and Health Education, The University of Texas at Austin, Austin, Texas
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Cai Y, Song W, Li J, Jing Y, Liang C, Zhang L, Zhang X, Zhang W, Liu B, An Y, Li J, Tang B, Pei S, Wu X, Liu Y, Zhuang CL, Ying Y, Dou X, Chen Y, Xiao FH, Li D, Yang R, Zhao Y, Wang Y, Wang L, Li Y, Ma S, Wang S, Song X, Ren J, Zhang L, Wang J, Zhang W, Xie Z, Qu J, Wang J, Xiao Y, Tian Y, Wang G, Hu P, Ye J, Sun Y, Mao Z, Kong QP, Liu Q, Zou W, Tian XL, Xiao ZX, Liu Y, Liu JP, Song M, Han JDJ, Liu GH. The landscape of aging. SCIENCE CHINA. LIFE SCIENCES 2022; 65:2354-2454. [PMID: 36066811 PMCID: PMC9446657 DOI: 10.1007/s11427-022-2161-3] [Citation(s) in RCA: 125] [Impact Index Per Article: 62.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Accepted: 07/05/2022] [Indexed: 02/07/2023]
Abstract
Aging is characterized by a progressive deterioration of physiological integrity, leading to impaired functional ability and ultimately increased susceptibility to death. It is a major risk factor for chronic human diseases, including cardiovascular disease, diabetes, neurological degeneration, and cancer. Therefore, the growing emphasis on "healthy aging" raises a series of important questions in life and social sciences. In recent years, there has been unprecedented progress in aging research, particularly the discovery that the rate of aging is at least partly controlled by evolutionarily conserved genetic pathways and biological processes. In an attempt to bring full-fledged understanding to both the aging process and age-associated diseases, we review the descriptive, conceptual, and interventive aspects of the landscape of aging composed of a number of layers at the cellular, tissue, organ, organ system, and organismal levels.
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Affiliation(s)
- Yusheng Cai
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Wei Song
- Frontier Science Center for Immunology and Metabolism, Medical Research Institute, College of Life Sciences, Wuhan University, Wuhan, 430071, China
| | - Jiaming Li
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Ying Jing
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Chuqian Liang
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Liyuan Zhang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
| | - Xia Zhang
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Wenhui Zhang
- University of Chinese Academy of Sciences, Beijing, 100049, China
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Beibei Liu
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
| | - Yongpan An
- Peking University International Cancer Institute, Peking University Health Science Center, Peking University, Beijing, 100191, China
| | - Jingyi Li
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Baixue Tang
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, 100084, China
| | - Siyu Pei
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Xueying Wu
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Yuxuan Liu
- School of Pharmaceutical Sciences, Beijing Advanced Innovation Center for Structural Biology, Ministry of Education Key Laboratory of Bioorganic Phosphorus Chemistry and Chemical Biology, Tsinghua University, Beijing, 100084, China
| | - Cheng-Le Zhuang
- Colorectal Cancer Center/Department of Gastrointestinal Surgery, Shanghai Tenth People's Hospital Affiliated to Tongji University, Shanghai, 200072, China
| | - Yilin Ying
- Department of Geriatrics, Medical Center on Aging of Shanghai Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200025, China
- International Laboratory in Hematology and Cancer, Shanghai Jiaotong University School of Medicine/Ruijin Hospital, Shanghai, 200025, China
| | - Xuefeng Dou
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Yu Chen
- Shanghai Key Laboratory of Maternal Fetal Medicine, Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Fu-Hui Xiao
- State Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
- CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China
| | - Dingfeng Li
- Institute on Aging and Brain Disorders, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230027, China
| | - Ruici Yang
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, CAS Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China
| | - Ya Zhao
- Aging and Vascular Diseases, Human Aging Research Institute (HARI) and School of Life Science, Nanchang University, and Jiangxi Key Laboratory of Human Aging, Nanchang, 330031, China
| | - Yang Wang
- Center of Growth, Metabolism and Aging, Key Laboratory of Bio-Resource and Eco-Environment, Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, 610065, China
| | - Lihui Wang
- Institute of Ageing Research, Hangzhou Normal University, School of Basic Medical Sciences, Hangzhou, 311121, China
| | - Yujing Li
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Shuai Ma
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Si Wang
- Advanced Innovation Center for Human Brain Protection, National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China.
- Aging Translational Medicine Center, International Center for Aging and Cancer, Beijing Municipal Geriatric Medical Research Center, Xuanwu Hospital Capital Medical University, Beijing, 100053, China.
- The Fifth People's Hospital of Chongqing, Chongqing, 400062, China.
| | - Xiaoyuan Song
- MOE Key Laboratory of Cellular Dynamics, Hefei National Research Center for Physical Sciences at the Microscale, CAS Key Laboratory of Brain Function and Disease, Neurodegenerative Disorder Research Center, School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230026, China.
| | - Jie Ren
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
| | - Liang Zhang
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Jun Wang
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Weiqi Zhang
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Aging Translational Medicine Center, International Center for Aging and Cancer, Beijing Municipal Geriatric Medical Research Center, Xuanwu Hospital Capital Medical University, Beijing, 100053, China.
| | - Zhengwei Xie
- Peking University International Cancer Institute, Peking University Health Science Center, Peking University, Beijing, 100191, China.
| | - Jing Qu
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Jianwei Wang
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, 100084, China.
| | - Yichuan Xiao
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Ye Tian
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Gelin Wang
- School of Pharmaceutical Sciences, Beijing Advanced Innovation Center for Structural Biology, Ministry of Education Key Laboratory of Bioorganic Phosphorus Chemistry and Chemical Biology, Tsinghua University, Beijing, 100084, China.
| | - Ping Hu
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Colorectal Cancer Center/Department of Gastrointestinal Surgery, Shanghai Tenth People's Hospital Affiliated to Tongji University, Shanghai, 200072, China.
- Guangzhou Laboratory, Guangzhou International Bio Island, Guangzhou, 510005, China.
| | - Jing Ye
- Department of Geriatrics, Medical Center on Aging of Shanghai Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200025, China.
- International Laboratory in Hematology and Cancer, Shanghai Jiaotong University School of Medicine/Ruijin Hospital, Shanghai, 200025, China.
| | - Yu Sun
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China.
- Department of Medicine and VAPSHCS, University of Washington, Seattle, 98195, USA.
| | - Zhiyong Mao
- Shanghai Key Laboratory of Maternal Fetal Medicine, Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.
| | - Qing-Peng Kong
- State Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China.
- CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China.
| | - Qiang Liu
- CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China.
- Institute on Aging and Brain Disorders, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230027, China.
| | - Weiguo Zou
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, CAS Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Xiao-Li Tian
- Aging and Vascular Diseases, Human Aging Research Institute (HARI) and School of Life Science, Nanchang University, and Jiangxi Key Laboratory of Human Aging, Nanchang, 330031, China.
| | - Zhi-Xiong Xiao
- Center of Growth, Metabolism and Aging, Key Laboratory of Bio-Resource and Eco-Environment, Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, 610065, China.
| | - Yong Liu
- Frontier Science Center for Immunology and Metabolism, Medical Research Institute, College of Life Sciences, Wuhan University, Wuhan, 430071, China.
| | - Jun-Ping Liu
- Institute of Ageing Research, Hangzhou Normal University, School of Basic Medical Sciences, Hangzhou, 311121, China.
- Department of Immunology and Pathology, Monash University Faculty of Medicine, Prahran, Victoria, 3181, Australia.
- Hudson Institute of Medical Research, and Monash University Department of Molecular and Translational Science, Clayton, Victoria, 3168, Australia.
| | - Moshi Song
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
| | - Jing-Dong J Han
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology, Peking University, Beijing, 100871, China.
| | - Guang-Hui Liu
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Advanced Innovation Center for Human Brain Protection, National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China.
- Aging Translational Medicine Center, International Center for Aging and Cancer, Beijing Municipal Geriatric Medical Research Center, Xuanwu Hospital Capital Medical University, Beijing, 100053, China.
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7
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Cuffless Blood Pressure Estimation Using Calibrated Cardiovascular Dynamics in the Photoplethysmogram. Bioengineering (Basel) 2022; 9:bioengineering9090446. [PMID: 36134991 PMCID: PMC9495658 DOI: 10.3390/bioengineering9090446] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 08/23/2022] [Accepted: 08/28/2022] [Indexed: 11/19/2022] Open
Abstract
An important means for preventing and managing cardiovascular disease is the non-invasive estimation of blood pressure. There is particular interest in developing approaches that provide accurate cuffless and continuous estimation of this important vital sign. This paper proposes a method that uses dynamic changes of the pulse waveform over short time intervals and calibrates the system based on a mathematical model that relates reflective PTT (R-PTT) to blood pressure. An advantage of the method is that it only requires collecting the photoplethysmogram (PPG) using one optical sensor, in addition to initial non-invasive measurements of blood pressure that are used for calibration. This method was applied to data from 30 patients, resulting in a mean error (ME) of 0.59 mmHg, a standard deviation of error (SDE) of 7.07 mmHg, and a mean absolute error (MAE) of 4.92 mmHg for diastolic blood pressure (DBP) and an ME of 2.52 mmHg, an SDE of 12.15 mmHg, and an MAE of 8.89 mmHg for systolic blood pressure (SBP). These results demonstrate the possibility of using the PPG signal for the cuffless continuous estimation of blood pressure based on the analysis of calibrated changes in cardiovascular dynamics, possibly in conjunction with other methods that are currently being researched.
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8
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Mo H, Lang X, Zhang Y, Li Z, He B. Optimally filtering and matching processing for regional upstrokes to improve ultrasound transit time-based local PWV estimation. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2022; 224:106997. [PMID: 35809369 DOI: 10.1016/j.cmpb.2022.106997] [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: 03/04/2021] [Revised: 06/19/2022] [Accepted: 06/30/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND AND OBJECTIVE Pulse wave velocity (PWV) is an important index for quantifying the elasticity of artery. Local PWV estimates based on ultrasonic transit time (TT) methods, however, are affected by the reflected waves and ultrasonic noise, biasing the spatiotemporal propagation of the time fiduciary point (TFP) positioning in the distension waveforms. In this study, an optimally filtering and matching processing for regional upstrokes is proposed to improve the ultrasound TT-based local PWV estimation. METHOD (i) Smooth the pulse waves (PWs) using the Savitzky-Golay filter with one set of randomly combined parameters. (ii) An arbitrary region at the first beam upstroke of the smoothed PWs is selected as the curve template, and then matched with the upstrokes of other PWs by calculating the sum of square differences (SSD) between the template and matching regions to find its similar regions. (iii) Update the filter parameters and the template using the moth-flame optimization (MFO) feedback for computing the new SSD value. When the new SSD value is smaller than the historical one, the later will be replaced. (iv) Repeat the above steps until the MFO algorithm converges to the minimum SSD value. (v) Output the optimal filter parameters and the locations of regional curves corresponding to the minimum SSD value. Then the time delay of the PWs propagation can be detected by using the starting points of the regional curves as the TFPs. RESULTS We conducted performance comparison with the advanced TT method through both simulation and clinical experiments. The results demonstrate that the proposed work observes considerable reductions on both the normalized root mean square error ± the standard deviation (from 6.73 ± 2.27% to 1.57 ± 0.72%) and the coefficient of variation (from 13.39% to 8.87%). CONCLUSIONS The results of this study support that the proposed method may facilitate the early diagnosis and prevention of local arterial stiffness .
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Affiliation(s)
- Hong Mo
- Department of Electronic Engineering, Information School, Yunnan University, Kunming, Yunnan, 650091, China
| | - Xun Lang
- Department of Electronic Engineering, Information School, Yunnan University, Kunming, Yunnan, 650091, China
| | - Yufeng Zhang
- Department of Electronic Engineering, Information School, Yunnan University, Kunming, Yunnan, 650091, China.
| | - Zhiyao Li
- The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, 650031, China
| | - Bingbing He
- Department of Electronic Engineering, Information School, Yunnan University, Kunming, Yunnan, 650091, China
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Pöhler GH, Löffler F, Klimeš F, Behrendt L, Voskrebenzev A, González CC, Westhoff-Bleck M, Wacker F, Vogel-Claussen J. Validation of Phase-Resolved Functional Lung (PREFUL) Magnetic Resonance Imaging Pulse Wave Transit Time Compared to Echocardiography in Chronic Obstructive Pulmonary Disease. J Magn Reson Imaging 2021; 56:605-615. [PMID: 34870363 DOI: 10.1002/jmri.28016] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2021] [Revised: 11/19/2021] [Accepted: 11/19/2021] [Indexed: 11/08/2022] Open
Abstract
BACKGROUND Phase-resolved functional lung (PREFUL) magnetic resonance imaging (MRI) pulmonary pulse wave transit time (pPTT) is a contrast agent free, vascular imaging biomarker, but has not been validated in chronic obstructive pulmonary disease (COPD). PURPOSE To validate PREFUL with echocardiographic pPTT as a reference standard and to compare arterial/venous pPTT mapping with spirometry and clinical parameters. STUDY TYPE Prospective. POPULATION Twenty-one patients (62% female) with COPD and 44 healthy participants (50% female). FIELD STRENGTH/SEQUENCE 1.5 T; 2D-spoiled gradient-echo sequence. ASSESSMENT Three coronal PREFUL MRI slices, echocardiography, and spirometry including forced expiratory volume in 1 second (FEV1, liter) and predicted defined as FEV1 in% divided by the population average FEV1%, were performed. Pulmonary pulse transit time from the main artery to the microvasculature (PREFUL pPTT), to the right upper lobe vein (PREFUL pPTTav , echo pPTTav ), from microvasculature to right upper lobe vein (PREFULvein ) and the ratio of PREFUL pPTT to PREFUL pPTTvein were calculated. Body mass index (BMI), Global Initiative for COPD (GOLD) stage 1-4, disease duration, and cigarette packs smoked per day multiplied by the smoked years (pack years) were computed. STATISTICAL TESTS Shapiro-Wilk-test, paired-two-sided-t-tests, Bland-Altman-analysis, coefficient of variation, Pearson ρ were applied, pPTT data were compared between 21 subjects from the 44 healthy subjects who were age- and sex-matched to the COPD cohort, P < 0.05 was considered statistically significant. RESULTS PREFUL pPTTav significantly correlated with echo pPTTav (ρ = 0.95) with 1.85 msec bias, 95% limits of agreement: 55.94 msec, -52.23 msec in all participants (P = 0.59). In the healthy participants, PREFUL and echo pPTTav significantly correlated with age (ρ = 0.81, ρ = 0.78), FEV1 (ρ = -0.47, ρ = -0.34) and BMI (ρ = 0.56, ρ = 0.51). In COPD patients, PREFUL pPTT significantly correlated with FEV1 predicted (ρ = -0.59), GOLD (ρ = 0.53), disease duration (ρ = 0.54), and pack years (ρ = 0.49). DATA CONCLUSION Arteriovenous PTT measured by PREFUL MRI corresponds precisely to echocardiography and appears to be feasible even in severe COPD. EVIDENCE LEVEL 1 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Gesa H Pöhler
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany.,Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research (DZL), Hannover, Germany
| | - Friederike Löffler
- Department of Cardiology and Angiology, Hannover Medical School, Hannover, Germany
| | - Filip Klimeš
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany.,Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research (DZL), Hannover, Germany
| | - Lea Behrendt
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany.,Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research (DZL), Hannover, Germany
| | - Andreas Voskrebenzev
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany.,Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research (DZL), Hannover, Germany
| | - Cristian Crisosto González
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany.,Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research (DZL), Hannover, Germany
| | | | - Frank Wacker
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany.,Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research (DZL), Hannover, Germany
| | - Jens Vogel-Claussen
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany.,Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research (DZL), Hannover, Germany
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10
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Wojciechowska W, Januszewicz A, Drożdż T, Rojek M, Bączalska J, Terlecki M, Kurasz K, Olszanecka A, Smólski M, Prejbisz A, Dobrowolski P, Grodzicki T, Hryniewiecki T, Kreutz R, Rajzer M. Blood Pressure and Arterial Stiffness in Association With Aircraft Noise Exposure: Long-Term Observation and Potential Effect of COVID-19 Lockdown. Hypertension 2021; 79:325-334. [PMID: 34657440 PMCID: PMC8754004 DOI: 10.1161/hypertensionaha.121.17704] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Supplemental Digital Content is available in the text. In a cross-sectional analysis of a case-control study in 2015, we revealed the association between increased arterial stiffness (pulse wave velocity) and aircraft noise exposure. In June 2020, we evaluated the long-term effects, and the impact of a sudden decline in noise exposure during the coronavirus disease 2019 (COVID-19) lockdown, on blood pressure and pulse wave velocity, comparing 74 participants exposed to long-term day-evening-night aircraft noise level >60 dB and 75 unexposed individuals. During the 5-year follow-up, the prevalence of hypertension increased in the exposed (42% versus 59%, P=0.048) but not in the unexposed group. The decline in noise exposure since April 2020 was accompanied with a significant decrease of noise annoyance, 24-hour systolic (121.2 versus 117.9 mm Hg; P=0.034) and diastolic (75.1 versus 72.0 mm Hg; P=0.003) blood pressure, and pulse wave velocity (10.2 versus 8.8 m/s; P=0.001) in the exposed group. Less profound decreases of these parameters were noticed in the unexposed group. Significant between group differences were observed for declines in office and night-time diastolic blood pressure and pulse wave velocity. Importantly, the difference in the reduction of pulse wave velocity between exposed and unexposed participants remained significant after adjustment for covariates (−1.49 versus −0.35 m/s; P=0.017). The observed difference in insomnia prevalence between exposed and unexposed individuals at baseline was no more significant at follow-up. Thus, long-term aircraft noise exposure may increase the prevalence of hypertension and accelerate arterial stiffening. However, even short-term noise reduction, as experienced during the COVID-19 lockdown, may reverse those unfavorable effects.
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Affiliation(s)
- Wiktoria Wojciechowska
- From the Jagiellonian University Medical College, 1st Department of Cardiology, Interventional Electrocardiology and Arterial Hypertension, Kraków, Poland (W.W., T.D., M. Rojek, J.B., M.T., A.O., M.R.)
| | - Andrzej Januszewicz
- Department of Hypertension, National Institute of Cardiology, Warsaw, Poland (A.J., M.S., A.P., P.D.)
| | - Tomasz Drożdż
- From the Jagiellonian University Medical College, 1st Department of Cardiology, Interventional Electrocardiology and Arterial Hypertension, Kraków, Poland (W.W., T.D., M. Rojek, J.B., M.T., A.O., M.R.)
| | - Marta Rojek
- From the Jagiellonian University Medical College, 1st Department of Cardiology, Interventional Electrocardiology and Arterial Hypertension, Kraków, Poland (W.W., T.D., M. Rojek, J.B., M.T., A.O., M.R.).,Medical Faculty, Dresden University of Technology, Germany (M. Rojek)
| | - Justyna Bączalska
- From the Jagiellonian University Medical College, 1st Department of Cardiology, Interventional Electrocardiology and Arterial Hypertension, Kraków, Poland (W.W., T.D., M. Rojek, J.B., M.T., A.O., M.R.)
| | - Michał Terlecki
- From the Jagiellonian University Medical College, 1st Department of Cardiology, Interventional Electrocardiology and Arterial Hypertension, Kraków, Poland (W.W., T.D., M. Rojek, J.B., M.T., A.O., M.R.)
| | - Karol Kurasz
- Chief Inspectorate Of Environmental Protection (K.K.)
| | - Agnieszka Olszanecka
- From the Jagiellonian University Medical College, 1st Department of Cardiology, Interventional Electrocardiology and Arterial Hypertension, Kraków, Poland (W.W., T.D., M. Rojek, J.B., M.T., A.O., M.R.)
| | - Mikołaj Smólski
- Department of Hypertension, National Institute of Cardiology, Warsaw, Poland (A.J., M.S., A.P., P.D.)
| | - Aleksander Prejbisz
- Department of Hypertension, National Institute of Cardiology, Warsaw, Poland (A.J., M.S., A.P., P.D.)
| | - Piotr Dobrowolski
- Department of Hypertension, National Institute of Cardiology, Warsaw, Poland (A.J., M.S., A.P., P.D.)
| | - Tomasz Grodzicki
- Department of Internal Medicine and Gerontology, Jagiellonian University Medical College, Kraków, Poland (T.G.)
| | - Tomasz Hryniewiecki
- Department of Valvular Heart Diseases, National Institute of Cardiology (T.H.)
| | - Reinhold Kreutz
- Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institut für Klinische Pharmakologie und Toxikologie, Germany (R.K.)
| | - Marek Rajzer
- From the Jagiellonian University Medical College, 1st Department of Cardiology, Interventional Electrocardiology and Arterial Hypertension, Kraków, Poland (W.W., T.D., M. Rojek, J.B., M.T., A.O., M.R.)
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11
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Riemer M, Schulze S, Wagner L, Richter M, Ayerle G, Simm A, Seeger S, Schwesig R, Tchirikov M, Seliger G. Cardiovascular Risk Reduction in Women Following Hypertensive Disorders of Pregnancy - a Prospective, Randomised, Controlled Interventional Study. Geburtshilfe Frauenheilkd 2021; 81:966-978. [PMID: 34393260 PMCID: PMC8354345 DOI: 10.1055/a-1345-8733] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Accepted: 12/31/2020] [Indexed: 12/02/2022] Open
Abstract
Background
Women have a markedly increased lifetime risk for cardiovascular morbidity and mortality following hypertensive disorders of pregnancy. Arterial stiffness is regarded as a target parameter for reducing cardiovascular risk and can be modified by lifestyle changes.
Methods
In a prospective, randomised, controlled interventional study, starting 6 weeks postpartum, the effect of nutritional intervention combined with an intensive 6-month cardiovascular exercise programme on arterial stiffness was investigated by means of pulse wave velocity (PWV) in 38 women with severe hypertensive disorder of pregnancy (preeclampsia with or without pre-existing hypertension and/or HELLP syndrome). A reference group was formed with postpartum women without pregnancy complications or known cardiovascular risk and the arterial stiffness was studied by means of PWV at the time of delivery. The PWV was measured in the intervention and control groups within a week after delivery and after 32 weeks (6 weeks + 6 months). A feasibility analysis was performed in addition.
Results
29 of 38 women with severe hypertensive disorder of pregnancy and 38 postpartum women in the reference group were included in the analysis (intervention group n = 14; control group n = 15; reference group n = 38). Adherence to a) the nutritional counselling and b) the intensive cardiovascular exercise programme was 73% and 79% respectively. A clinically significant difference (d = 0.65) in pulse wave velocity between the intervention and control groups was found after 6 months (6.36 ± 0.76 vs. 7.33 ± 2.25 m/s; group × time: p = 0.632). The PWV of the intervention group corresponded to that of the reference group at the end of the study (6.36 ± 0.76 m/s vs. 6.5 ± 0.70; d = 0.19), while the results in the control group differed markedly from this (7.33 ± 2.25 m/s; d = 0.56).
Conclusion
The study documents the feasibility of lifestyle intervention with physical exercise after delivery (starting 6 weeks postpartum). The intervention showed a significant clinical effect by reducing arterial stiffness to the level of the reference group. Before this intervention can be included in the standard of care and prevention, follow-up studies must confirm these results and the medium-term effects on cardiovascular risk.
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Affiliation(s)
- Marcus Riemer
- Universitätsklinik und Poliklinik für Geburtshilfe und Pränatalmedizin Halle, Martin-Luther-Universität Halle-Wittenberg, Halle, Germany.,Klinik für Geburtshilfe, Krankenhaus St. Elisabeth und St. Barbara Halle, Halle, Germany
| | - Stephan Schulze
- Department für Orthopädie, Unfall- und Wiederherstellungschirurgie, Martin-Luther-Universität Halle-Wittenberg, Halle, Germany
| | - Lisa Wagner
- Universitätsklinik und Poliklinik für Geburtshilfe und Pränatalmedizin Halle, Martin-Luther-Universität Halle-Wittenberg, Halle, Germany
| | - Manon Richter
- Institut für Leistungsdiagnostik und Gesundheitsförderung, Martin-Luther-Universität Halle-Wittenberg, Halle, Germany
| | - Gertrud Ayerle
- Institut für Gesundheits- und Pflegewissenschaft, Martin-Luther-Universität Halle-Wittenberg, Halle, Germany
| | - Andreas Simm
- Universitätsklinik für Herz- und Thoraxchirurgie Halle, Martin-Luther-Universität Halle-Wittenberg, Halle, Germany
| | - Sven Seeger
- Klinik für Geburtshilfe, Krankenhaus St. Elisabeth und St. Barbara Halle, Halle, Germany
| | - René Schwesig
- Department für Orthopädie, Unfall- und Wiederherstellungschirurgie, Martin-Luther-Universität Halle-Wittenberg, Halle, Germany
| | - Michael Tchirikov
- Universitätsklinik und Poliklinik für Geburtshilfe und Pränatalmedizin Halle, Martin-Luther-Universität Halle-Wittenberg, Halle, Germany
| | - Gregor Seliger
- Universitätsklinik und Poliklinik für Geburtshilfe und Pränatalmedizin Halle, Martin-Luther-Universität Halle-Wittenberg, Halle, Germany
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12
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Mynard JP, Kondiboyina A, Kowalski R, Cheung MMH, Smolich JJ. Measurement, Analysis and Interpretation of Pressure/Flow Waves in Blood Vessels. Front Physiol 2020; 11:1085. [PMID: 32973569 PMCID: PMC7481457 DOI: 10.3389/fphys.2020.01085] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Accepted: 08/06/2020] [Indexed: 01/10/2023] Open
Abstract
The optimal performance of the cardiovascular system, as well as the break-down of this performance with disease, both involve complex biomechanical interactions between the heart, conduit vascular networks and microvascular beds. ‘Wave analysis’ refers to a group of techniques that provide valuable insight into these interactions by scrutinizing the shape of blood pressure and flow/velocity waveforms. The aim of this review paper is to provide a comprehensive introduction to wave analysis, with a focus on key concepts and practical application rather than mathematical derivations. We begin with an overview of invasive and non-invasive measurement techniques that can be used to obtain the signals required for wave analysis. We then review the most widely used wave analysis techniques—pulse wave analysis, wave separation and wave intensity analysis—and associated methods for estimating local wave speed or characteristic impedance that are required for decomposing waveforms into forward and backward wave components. This is followed by a discussion of the biomechanical phenomena that generate waves and the processes that modulate wave amplitude, both of which are critical for interpreting measured wave patterns. Finally, we provide a brief update on several emerging techniques/concepts in the wave analysis field, namely wave potential and the reservoir-excess pressure approach.
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Affiliation(s)
- Jonathan P Mynard
- Heart Research, Murdoch Children's Research Institute, Melbourne, VIC, Australia.,Department of Paediatrics, The University of Melbourne, Melbourne, VIC, Australia.,Department of Biomedical Engineering, The University of Melbourne, Melbourne, VIC, Australia.,Department of Cardiology, The Royal Children's Hospital, Parkville, VIC, Australia
| | - Avinash Kondiboyina
- Heart Research, Murdoch Children's Research Institute, Melbourne, VIC, Australia.,Department of Paediatrics, The University of Melbourne, Melbourne, VIC, Australia
| | - Remi Kowalski
- Heart Research, Murdoch Children's Research Institute, Melbourne, VIC, Australia.,Department of Paediatrics, The University of Melbourne, Melbourne, VIC, Australia.,Department of Cardiology, The Royal Children's Hospital, Parkville, VIC, Australia
| | - Michael M H Cheung
- Heart Research, Murdoch Children's Research Institute, Melbourne, VIC, Australia.,Department of Paediatrics, The University of Melbourne, Melbourne, VIC, Australia.,Department of Cardiology, The Royal Children's Hospital, Parkville, VIC, Australia
| | - Joseph J Smolich
- Heart Research, Murdoch Children's Research Institute, Melbourne, VIC, Australia.,Department of Paediatrics, The University of Melbourne, Melbourne, VIC, Australia
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13
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Sonnabend K, Brinker G, Maintz D, Bunck AC, Weiss K. Cerebrospinal fluid pulse wave velocity measurements: In vitro and in vivo evaluation of a novel multiband cine phase-contrast MRI sequence. Magn Reson Med 2020; 85:197-208. [PMID: 32783240 DOI: 10.1002/mrm.28430] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Revised: 05/27/2020] [Accepted: 06/23/2020] [Indexed: 12/28/2022]
Abstract
PURPOSE Intracranial and intraspinal compliance are parameters of interest in the diagnosis and prediction of treatment outcome in patients with normal pressure hydrocephalus and other forms of communicating hydrocephalus. A noninvasive method to estimate the spinal cerebrospinal fluid (CSF) pulse wave velocity (PWV) as a measure of compliance was developed using a multiband cine phase-contrast MRI sequence and a foot-to-foot algorithm. METHODS We used computational simulations to estimate the accuracy of the MRI acquisition and transit-time algorithm. In vitro measurements were performed to investigate the reproducibility and accuracy of the measurements under controlled conditions. In vivo measurements in 20 healthy subjects and 2 patients with normal pressure hydrocephalus were acquired to show the technical feasibility in a clinical setting. RESULTS Simulations showed a mean deviation of the calculated CSF PWV of 3.41% ± 2.68%. In vitro results were in line with theory, showing a square-root relation between PWV and transmural pressure and a good reproducibility with SDs of repeated measurements below 5%. Mean CSF PWV over all healthy subjects was 5.83 ± 3.36 m/s. The CSF PWV measurements in the patients with normal pressure hydrocephalus were distinctly higher before CSF shunt surgery (33.80 ± 6.75 m/s and 31.31 ± 7.82 m/s), with a decrease 5 days after CSF shunt surgery (15.69 ± 3.37 m/s). CONCLUSION This study evaluates the feasibility of CSF PWV measurements using a multiband cine phase-contrast MRI sequence. In vitro and in vivo measurements showed that this method is a potential tool for the noninvasive estimation of intraspinal compliance.
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Affiliation(s)
- Kristina Sonnabend
- Department of Diagnostic and Interventional Radiology, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Gerrit Brinker
- Department of General Neurosurgery, Center for Neurosurgery, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - David Maintz
- Department of Diagnostic and Interventional Radiology, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Alexander C Bunck
- Department of Diagnostic and Interventional Radiology, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Kilian Weiss
- Department of Diagnostic and Interventional Radiology, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany.,Philips GmbH, Hamburg, Germany
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14
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Aortic Stiffness and Heart Failure in Chronic Kidney Disease. CURRENT CARDIOVASCULAR IMAGING REPORTS 2020. [DOI: 10.1007/s12410-020-9534-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
Abstract
Purpose of Review
To provide an update on the recent findings in the field of aortic stiffness and heart failure in patients with chronic kidney disease (CKD).
Recent Findings
Stratification of cardiovascular risk in CKD remains an open question. Recent reports suggest that aortic stiffness, an independent predictor of cardiovascular events in many patient populations, is also an important prognostic factor in CKD. Also, novel measures of myocardial tissue characterization, native T1 and T2 mapping techniques, have potential as diagnostic and prognostic factors in CKD.
Summary
Cardiovascular magnetic resonance has the ability to thoroughly evaluate novel imaging markers: aortic stiffness, native T1, and native T2. Novel imaging markers can be used for diagnostic and prognostic purposes as well as potential therapeutic targets in CKD population.
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15
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Deng L, Zhang Y, Chen Z, Zhao Z, Zhang K, Wu J. Regional Upstroke Tracking for Transit Time Detection to Improve the Ultrasound-Based Local PWV Estimation in Carotid Arteries. IEEE TRANSACTIONS ON ULTRASONICS, FERROELECTRICS, AND FREQUENCY CONTROL 2020; 67:691-702. [PMID: 31714222 DOI: 10.1109/tuffc.2019.2951922] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Pulse wave velocity (PWV) is the most important index for quantifying the elasticity of an artery. The accurate estimation of the local PWV is of great relevance to the early diagnosis and effective prevention of arterial stiffness. In ultrasonic transit time-based local PWV estimation, the locations of time fiduciary point (TFP) in the upstrokes of the propagating pulse waves (PWs) are inconsistent because of the reflected waves and ultrasonic noise. In this study, a regional upstroke tracking (RUT) approach that involved identifying the most similar TFP-centered region in the upstrokes is proposed to detect the time delay for improving the local PWV estimation. Five RUT algorithms with different tracking points are assessed via simulation and clinical experiments. To quantitatively evaluate the RUT algorithms, the normalized root-mean-squared errors and standard deviations of the estimated PWVs are calculated using an ultrasound simulation model. The reproducibility of the five RUT algorithms based on 30 human subjects is also evaluated using the Bland-Altman analysis and coefficient of variation (CV). The obtained results show that the RUT algorithms with only three tracking points provide greater accuracy, precision, and reproducibility for the local PWV estimation than the TFP methods. Compared with the TFP methods, the RUT algorithms reduce the mean errors from 12.23% ± 3.10% to 7.13% ± 2.31%, as well as the CVs from 21.76% to 13.39%. In conclusion, the proposed RUT algorithms are superior to the TFP methods for local carotid PWV estimation.
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MEMS-Based Pulse Wave Sensor Utilizing a Piezoresistive Cantilever. SENSORS 2020; 20:s20041052. [PMID: 32075243 PMCID: PMC7070847 DOI: 10.3390/s20041052] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Revised: 02/09/2020] [Accepted: 02/13/2020] [Indexed: 01/18/2023]
Abstract
This paper reports on a microelectromechanical systems (MEMS)-based sensor for pulse wave measurement. The sensor consists of an air chamber with a thin membrane and a 300-nm thick piezoresistive cantilever placed inside the chamber. When the membrane of the chamber is in contact with the skin above a vessel of a subject, the pulse wave of the subject causes the membrane to deform, leading to a change in the chamber pressure. This pressure change results in bending of the cantilever and change in the resistance of the cantilever, hence the pulse wave of the subject can be measured by monitoring the resistance of the cantilever. In this paper, we report the sensor design and fabrication, and demonstrate the measurement of the pulse wave using the fabricated sensor. Finally, measurement of the pulse wave velocity (PWV) is demonstrated by simultaneously measuring pulse waves at two points using the two fabricated sensor devices. Furthermore, the effect of breath holding on PWV is investigated. We showed that the proposed sensor can be used to continuously measure the PWV for each pulse, which indicates the possibility of using the sensor for continuous blood pressure measurement.
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17
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Zhou S, Ogihara A, Nishimura S, Jin Q. Analysis of health changes and the association of health indicators in the elderly using TCM pulse diagnosis assisted with ICT devices: A time series study. Eur J Integr Med 2019. [DOI: 10.1016/j.eujim.2019.02.010] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
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18
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Lioufas N, Hawley CM, Cameron JD, Toussaint ND. Chronic Kidney Disease and Pulse Wave Velocity: A Narrative Review. Int J Hypertens 2019; 2019:9189362. [PMID: 30906591 PMCID: PMC6397961 DOI: 10.1155/2019/9189362] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2018] [Accepted: 01/13/2019] [Indexed: 12/28/2022] Open
Abstract
Chronic kidney disease (CKD) is associated with excess cardiovascular mortality, resulting from both traditional and nontraditional, CKD-specific, cardiovascular risk factors. Nontraditional risk factors include the entity Chronic Kidney Disease-Mineral and Bone Disorder (CKD-MBD) which is characterised by disorders of bone and mineral metabolism, including biochemical abnormalities of hyperphosphatemia and hyperparathyroidism, renal osteodystrophy, and vascular calcification. Increased arterial stiffness in the CKD population can be attributed amongst other influences to progression of vascular calcification, with significant resultant contribution to the cardiovascular disease burden. Pulse wave velocity (PWV) measured over the carotid-femoral arterial segments is the noninvasive gold-standard technique for measurement of aortic stiffness and has been suggested as a surrogate cardiovascular end-point. A PWV value of 10 m/s or greater has been recommended as a suitable cut-off for an increased risk of cardiovascular mortality. CKD is a risk factor for an excessive rate of increase in aortic stiffness, reflected by increases in PWV, and increased aortic PWV in CKD shows faster progression than for individuals with normal kidney function. Patients with varying stages of CKD, as well as those on dialysis or with a kidney transplant, have different biological milieu which influence aortic stiffness and associated changes in PWV. This review discusses the pathophysiology of arterial stiffness with CKD and outlines the literature on PWV across the spectrum of CKD, highlighting that determination of arterial stiffness using aortic PWV can be a useful diagnostic and prognostic tool for assessing cardiovascular disease in the CKD population.
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Affiliation(s)
- Nicole Lioufas
- Department of Nephrology, The Royal Melbourne Hospital, Parkville, Australia
- Department of Medicine (RMH), University of Melbourne, Parkville, Australia
- Department of Medicine, Western Health, St Albans, Australia
| | - Carmel M. Hawley
- Department of Nephrology, Princess Alexandra Hospital, Woolloongabba, Australia
- Faculty of Medicine, University of Queensland, Woolloongabba, Australia
| | - James D. Cameron
- Monash Cardiovascular Research Centre, Monash Health, Clayton, Australia
- Monash University, Clayton, Australia
| | - Nigel D. Toussaint
- Department of Nephrology, The Royal Melbourne Hospital, Parkville, Australia
- Department of Medicine (RMH), University of Melbourne, Parkville, Australia
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19
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Deng L, Zhang Y, Zhao Z, Zhang K, Hu X, Gao L, Liang H, Zhang J. Ultrasound simulation model incorporating incident and reflected wave propagations along a common carotid artery. Comput Biol Med 2018; 104:267-277. [PMID: 30551000 DOI: 10.1016/j.compbiomed.2018.11.009] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2018] [Revised: 10/25/2018] [Accepted: 11/12/2018] [Indexed: 11/28/2022]
Abstract
An ultrasound simulation model incorporating incident and reflected wave propagations is proposed to provide a realistic data source for validation of transit time (TT)-based local pulse wave velocity (PWV) estimation algorithms. First, the incident wave (IW) and reflected wave (RW) at a certain position over a common carotid artery (CCA) are estimated. Then, the propagating pulse waves (PWs) along the CCA are modelled with the synthesizations of the estimated IWs and RWs, whose occurrences are delayed in opposite sequences according to a preset PWV. In ultrasound simulation, a geometric model of a CCA is built, and the dynamic scatterer models are constructed by moving the scatterer positions according to the synthesized PWs. The RF signals are generated using Field II. To characterize the PW propagations of different arterial stiffnesses consistent with clinical ones in the model, 30 healthy subjects from young, middle-aged, and elderly groups are recruited for extractions of IWs and RWs. To quantitatively verify the effectiveness of the simulation model, the normalized root-mean-squared errors (NRMSEs) are used to compare the estimated and preset PWs, time delays (TDs), and PWVs. Results show that for the three age groups, the estimated PWs, TDs, and PWVs conform to the preset ones with the mean NRMSEs of 0.92%, 18.47%, and 8.55%, respectively. Moreover, the model can characterize the effect of the wave reflection on the local PW propagation as its clinical manifestation. Therefore, the proposed model can be effective as a data source for the validation of TT-based local PWV estimation algorithms, particularly the effects of RWs on the estimation performance.
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Affiliation(s)
- Li Deng
- Department of Electronic Engineering, Information School, Yunnan University, Kunming, Yunnan, 650091, China
| | - Yufeng Zhang
- Department of Electronic Engineering, Information School, Yunnan University, Kunming, Yunnan, 650091, China.
| | - Zhengpeng Zhao
- Department of Electronic Engineering, Information School, Yunnan University, Kunming, Yunnan, 650091, China
| | - Kexin Zhang
- The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, 650031, China
| | - Xiao Hu
- Department of Electronic Engineering, Information School, Yunnan University, Kunming, Yunnan, 650091, China
| | - Lian Gao
- Department of Electronic Engineering, Information School, Yunnan University, Kunming, Yunnan, 650091, China
| | - Hong Liang
- Department of Electronic Engineering, Information School, Yunnan University, Kunming, Yunnan, 650091, China
| | - Junhua Zhang
- Department of Electronic Engineering, Information School, Yunnan University, Kunming, Yunnan, 650091, China
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20
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Masini G, Foo LF, Cornette J, Tay J, Rizopoulos D, McEniery CM, Wilkinson IB, Lees CC. Cardiac output changes from prior to pregnancy to post partum using two non-invasive techniques. Heart 2018; 105:715-720. [PMID: 30377262 DOI: 10.1136/heartjnl-2018-313682] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2018] [Revised: 10/02/2018] [Accepted: 10/04/2018] [Indexed: 01/31/2023] Open
Abstract
OBJECTIVES We aimed to describe cardiac output (CO) trend from prepregnancy to post partum using an inert gas rebreathing (IGR) device and compare these measurements with those obtained by a pulse waveform analysis (PWA) technique, both cross-sectionally and longitudinally. METHODS Non-smoking healthy women, aged 18-44 years, with body mass index <35 were included in this prospective observational study. CO measurements were collected at different time points (prepregnancy, at four different gestational epochs and post partum) using IGR and PWA. A linear mixed model analysis tested whether the longitudinal change in CO differed between the techniques. Bland-Altman analysis and intraclass correlation coefficient (ICC) were used for cross-sectional and a four-quadrant plot for longitudinal comparisons. RESULTS Of the 413 participants, 69 had a complete longitudinal assessment throughout pregnancy. In this latter cohort, the maximum CO rise was seen at 15.2 weeks with IGR (+17.5% from prepregnancy) and at 10.4 weeks with PWA (+7.7% from prepregnancy). Trends differed significantly (p=0.0093). Cross-sectional analysis was performed in the whole population of 413 women: the mean CO was 6.14 L/min and 6.38 L/min for PWA and IGR, respectively, the percentage of error was 46% and the ICC was 0.348, with similar results at all separate time points. Longitudinal concordance was 64%. CONCLUSIONS Despite differences between devices, the maximum CO rise in healthy pregnancies is more modest and earlier than previously reported. The two methods of CO measurement do not agree closely and cannot be used interchangeably. Technique-specific reference ranges are needed before they can be applied in research and clinical settings.
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Affiliation(s)
- Giulia Masini
- Department of Surgery and Cancer, Imperial College London, London, UK
| | - Lin F Foo
- Department of Surgery and Cancer, Imperial College London, London, UK
| | - Jérôme Cornette
- Department of Obstetrics and Gynaecology, Division of Obstetrics and Prenatal Medicine, Erasmus MC, University Medical Centre, Rotterdam, The Netherlands
| | - Jasmine Tay
- Department of Surgery and Cancer, Imperial College London, London, UK
| | - Dimitris Rizopoulos
- Department of Biostatistics, Erasmus MC, University Medical Centre, Rotterdam, The Netherlands
| | - Carmel M McEniery
- Experimental Medicine and Immunotherapeutics, Addenbrooke's Hospital, Cambridge, UK
| | - Ian B Wilkinson
- Experimental Medicine and Immunotherapeutics, Addenbrooke's Hospital, Cambridge, UK
| | - Christoph C Lees
- Department of Surgery and Cancer, Imperial College London, London, UK.,Department of Development and Regeneration, KU Leuven, Leuven, Belgium
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21
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Weir-McCall JR, Liu-Shiu-Cheong PS, Struthers AD, Lipworth BJ, Houston JG. Disconnection of pulmonary and systemic arterial stiffness in COPD. Int J Chron Obstruct Pulmon Dis 2018; 13:1755-1765. [PMID: 29881265 PMCID: PMC5978466 DOI: 10.2147/copd.s160077] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023] Open
Abstract
Background Both pulmonary arterial stiffening and systemic arterial stiffening have been described in COPD. The aim of the current study was to assess pulse wave velocity (PWV) within these two arterial beds to determine whether they are separate or linked processes. Materials and methods In total, 58 participants with COPD and 21 healthy volunteers (HVs) underwent cardiac magnetic resonance imaging (MRI) and were tested with a panel of relevant biomarkers. Cardiac MRI was used to quantify ventricular mass, volumes, and pulmonary (pulse wave velocity [pPWV] and systemic pulse wave velocity [sPWV]). Results Those with COPD had higher pPWV (COPD: 2.62 vs HV: 1.78 ms−1, p=0.006), higher right ventricular mass/volume ratio (RVMVR; COPD: 0.29 vs HV: 0.25 g/mL, p=0.012), higher left ventricular mass/volume ratio (LVMVR; COPD: 0.78 vs HV: 0.70 g/mL, p=0.009), and a trend toward a higher sPWV (COPD: 8.7 vs HV: 7.4 ms−1, p=0.06). Multiple biomarkers were elevated: interleukin-6 (COPD: 1.38 vs HV: 0.58 pg/mL, p=0.02), high-sensitivity C-reactive protein (COPD: 6.42 vs HV: 2.49 mg/L, p=0.002), surfactant protein D (COPD: 16.9 vs HV: 9.13 ng/mL, p=0.001), N-terminal pro-brain natriuretic peptide (COPD: 603 vs HV: 198 pg/mL, p=0.001), and high-sensitivity troponin I (COPD: 2.27 vs HV: 0.92 pg/mL, p<0.001). There was a significant relationship between sPWV and LVMVR (p=0.01) but not pPWV (p=0.97) nor between pPWV and RVMVR (p=0.27). Conclusion Pulmonary arterial stiffening and systemic arterial stiffening appear to be disconnected and should therefore be considered independent processes in COPD. Further work is warranted to determine whether both these cause an increased morbidity and mortality and whether both can be targeted by similar pharmacological therapy or whether different strategies are required for each.
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Affiliation(s)
- Jonathan R Weir-McCall
- Division of Molecular and Clinical Medicine, Medical Research Institute, University of Dundee, Dundee, UK
| | | | - Allan D Struthers
- Division of Molecular and Clinical Medicine, Medical Research Institute, University of Dundee, Dundee, UK
| | - Brian J Lipworth
- Scottish Centre for Respiratory Research, Medical Research Institute, University of Dundee, Dundee, UK
| | - J Graeme Houston
- Division of Molecular and Clinical Medicine, Medical Research Institute, University of Dundee, Dundee, UK
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22
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Weir-McCall JR, Brown L, Summersgill J, Talarczyk P, Bonnici-Mallia M, Chin SC, Khan F, Struthers AD, Sullivan F, Colhoun HM, Shore AC, Aizawa K, Groop L, Nilsson J, Cockcroft JR, McEniery CM, Wilkinson IB, Ben-Shlomo Y, Houston JG. Development and Validation of a Path Length Calculation for Carotid-Femoral Pulse Wave Velocity Measurement: A TASCFORCE, SUMMIT, and Caerphilly Collaborative Venture. Hypertension 2018; 71:937-945. [PMID: 29555666 PMCID: PMC5902134 DOI: 10.1161/hypertensionaha.117.10620] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2017] [Revised: 12/28/2017] [Accepted: 01/30/2018] [Indexed: 11/19/2022]
Abstract
Supplemental Digital Content is available in the text. Current distance measurement techniques for pulse wave velocity (PWV) calculation are susceptible to intercenter variability. The aim of this study was to derive and validate a formula for this distance measurement. Based on carotid femoral distance in 1183 whole-body magnetic resonance angiograms, a formula was derived for calculating distance. This was compared with distance measurements in 128 whole-body magnetic resonance angiograms from a second study. The effects of recalculation of PWV using the new formula on association with risk factors, disease discrimination, and prediction of major adverse cardiovascular events were examined within 1242 participants from the multicenter SUMMIT study (Surrogate Markers of Micro- and Macrovascular Hard End-Points for Innovative Diabetes Tools) and 825 participants from the Caerphilly Prospective Study. The distance formula yielded a mean error of 7.8 mm (limits of agreement =−41.1 to 56.7 mm; P<0.001) compared with the second whole-body magnetic resonance angiogram group. Compared with an external distance measurement, the distance formula did not change associations between PWV and age, blood pressure, or creatinine (P<0.01) but did remove significant associations between PWV and body mass index (BMI). After accounting for differences in age, sex, and mean arterial pressure, intercenter differences in PWV persisted using the external distance measurement (F=4.6; P=0.004), whereas there was a loss of between center difference using the distance formula (F=1.4; P=0.24). PWV odds ratios for cardiovascular mortality remained the same using both the external distance measurement (1.14; 95% confidence interval, 1.06–1.24; P=0.001) and the distance formula (1.17; 95% confidence interval, 1.08–1.28; P<0.001). A population-derived automatic distance calculation for PWV obtained from routinely collected clinical information is accurate and removes intercenter measurement variability without impacting the diagnostic utility of carotid–femoral PWV.
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Affiliation(s)
- Jonathan R Weir-McCall
- From the Division of Molecular and Clinical Medicine, College of Medicine, University of Dundee, United Kingdom (J.R.W.-M., L.B., J.S., F.K., A.D.S., J.G.H.); NHS Tayside Clinical Radiology, Ninewells Hospital, Dundee, United Kingdom (P.T., M.B.-M., S.C.C.); Department of Research and Innovation, North York General Hospital, University of Toronto, Canada (F.S.); Centre for Genomic and Experimental Medicine, The University of Edinburgh, Western General Hospital, United Kingdom (H.M.C.); NIHR Exeter Clinical Research Facility, Royal Devon and Exeter Hospital and University of Exeter Medical School, United Kingdom (A.C.S., K.A.); Lund University Diabetes Centre, Lund University, Malmö, Sweden (L.G.); Department of Clinical Sciences Malmö, Lund University, Sweden (J.N.); Department of Cardiology, Wales Heart Research Institute, Cardiff, United Kingdom (J.R.C.); Division of Experimental Medicine & Immunotherapeutics, University of Cambridge, United Kingdom (C.M.M., I.B.W.); and Population Health Sciences, University of Bristol, United Kingdom (Y.B.-S.)
| | - Liam Brown
- From the Division of Molecular and Clinical Medicine, College of Medicine, University of Dundee, United Kingdom (J.R.W.-M., L.B., J.S., F.K., A.D.S., J.G.H.); NHS Tayside Clinical Radiology, Ninewells Hospital, Dundee, United Kingdom (P.T., M.B.-M., S.C.C.); Department of Research and Innovation, North York General Hospital, University of Toronto, Canada (F.S.); Centre for Genomic and Experimental Medicine, The University of Edinburgh, Western General Hospital, United Kingdom (H.M.C.); NIHR Exeter Clinical Research Facility, Royal Devon and Exeter Hospital and University of Exeter Medical School, United Kingdom (A.C.S., K.A.); Lund University Diabetes Centre, Lund University, Malmö, Sweden (L.G.); Department of Clinical Sciences Malmö, Lund University, Sweden (J.N.); Department of Cardiology, Wales Heart Research Institute, Cardiff, United Kingdom (J.R.C.); Division of Experimental Medicine & Immunotherapeutics, University of Cambridge, United Kingdom (C.M.M., I.B.W.); and Population Health Sciences, University of Bristol, United Kingdom (Y.B.-S.)
| | - Jennifer Summersgill
- From the Division of Molecular and Clinical Medicine, College of Medicine, University of Dundee, United Kingdom (J.R.W.-M., L.B., J.S., F.K., A.D.S., J.G.H.); NHS Tayside Clinical Radiology, Ninewells Hospital, Dundee, United Kingdom (P.T., M.B.-M., S.C.C.); Department of Research and Innovation, North York General Hospital, University of Toronto, Canada (F.S.); Centre for Genomic and Experimental Medicine, The University of Edinburgh, Western General Hospital, United Kingdom (H.M.C.); NIHR Exeter Clinical Research Facility, Royal Devon and Exeter Hospital and University of Exeter Medical School, United Kingdom (A.C.S., K.A.); Lund University Diabetes Centre, Lund University, Malmö, Sweden (L.G.); Department of Clinical Sciences Malmö, Lund University, Sweden (J.N.); Department of Cardiology, Wales Heart Research Institute, Cardiff, United Kingdom (J.R.C.); Division of Experimental Medicine & Immunotherapeutics, University of Cambridge, United Kingdom (C.M.M., I.B.W.); and Population Health Sciences, University of Bristol, United Kingdom (Y.B.-S.)
| | - Piotr Talarczyk
- From the Division of Molecular and Clinical Medicine, College of Medicine, University of Dundee, United Kingdom (J.R.W.-M., L.B., J.S., F.K., A.D.S., J.G.H.); NHS Tayside Clinical Radiology, Ninewells Hospital, Dundee, United Kingdom (P.T., M.B.-M., S.C.C.); Department of Research and Innovation, North York General Hospital, University of Toronto, Canada (F.S.); Centre for Genomic and Experimental Medicine, The University of Edinburgh, Western General Hospital, United Kingdom (H.M.C.); NIHR Exeter Clinical Research Facility, Royal Devon and Exeter Hospital and University of Exeter Medical School, United Kingdom (A.C.S., K.A.); Lund University Diabetes Centre, Lund University, Malmö, Sweden (L.G.); Department of Clinical Sciences Malmö, Lund University, Sweden (J.N.); Department of Cardiology, Wales Heart Research Institute, Cardiff, United Kingdom (J.R.C.); Division of Experimental Medicine & Immunotherapeutics, University of Cambridge, United Kingdom (C.M.M., I.B.W.); and Population Health Sciences, University of Bristol, United Kingdom (Y.B.-S.)
| | - Michael Bonnici-Mallia
- From the Division of Molecular and Clinical Medicine, College of Medicine, University of Dundee, United Kingdom (J.R.W.-M., L.B., J.S., F.K., A.D.S., J.G.H.); NHS Tayside Clinical Radiology, Ninewells Hospital, Dundee, United Kingdom (P.T., M.B.-M., S.C.C.); Department of Research and Innovation, North York General Hospital, University of Toronto, Canada (F.S.); Centre for Genomic and Experimental Medicine, The University of Edinburgh, Western General Hospital, United Kingdom (H.M.C.); NIHR Exeter Clinical Research Facility, Royal Devon and Exeter Hospital and University of Exeter Medical School, United Kingdom (A.C.S., K.A.); Lund University Diabetes Centre, Lund University, Malmö, Sweden (L.G.); Department of Clinical Sciences Malmö, Lund University, Sweden (J.N.); Department of Cardiology, Wales Heart Research Institute, Cardiff, United Kingdom (J.R.C.); Division of Experimental Medicine & Immunotherapeutics, University of Cambridge, United Kingdom (C.M.M., I.B.W.); and Population Health Sciences, University of Bristol, United Kingdom (Y.B.-S.)
| | - Sook C Chin
- From the Division of Molecular and Clinical Medicine, College of Medicine, University of Dundee, United Kingdom (J.R.W.-M., L.B., J.S., F.K., A.D.S., J.G.H.); NHS Tayside Clinical Radiology, Ninewells Hospital, Dundee, United Kingdom (P.T., M.B.-M., S.C.C.); Department of Research and Innovation, North York General Hospital, University of Toronto, Canada (F.S.); Centre for Genomic and Experimental Medicine, The University of Edinburgh, Western General Hospital, United Kingdom (H.M.C.); NIHR Exeter Clinical Research Facility, Royal Devon and Exeter Hospital and University of Exeter Medical School, United Kingdom (A.C.S., K.A.); Lund University Diabetes Centre, Lund University, Malmö, Sweden (L.G.); Department of Clinical Sciences Malmö, Lund University, Sweden (J.N.); Department of Cardiology, Wales Heart Research Institute, Cardiff, United Kingdom (J.R.C.); Division of Experimental Medicine & Immunotherapeutics, University of Cambridge, United Kingdom (C.M.M., I.B.W.); and Population Health Sciences, University of Bristol, United Kingdom (Y.B.-S.)
| | - Faisel Khan
- From the Division of Molecular and Clinical Medicine, College of Medicine, University of Dundee, United Kingdom (J.R.W.-M., L.B., J.S., F.K., A.D.S., J.G.H.); NHS Tayside Clinical Radiology, Ninewells Hospital, Dundee, United Kingdom (P.T., M.B.-M., S.C.C.); Department of Research and Innovation, North York General Hospital, University of Toronto, Canada (F.S.); Centre for Genomic and Experimental Medicine, The University of Edinburgh, Western General Hospital, United Kingdom (H.M.C.); NIHR Exeter Clinical Research Facility, Royal Devon and Exeter Hospital and University of Exeter Medical School, United Kingdom (A.C.S., K.A.); Lund University Diabetes Centre, Lund University, Malmö, Sweden (L.G.); Department of Clinical Sciences Malmö, Lund University, Sweden (J.N.); Department of Cardiology, Wales Heart Research Institute, Cardiff, United Kingdom (J.R.C.); Division of Experimental Medicine & Immunotherapeutics, University of Cambridge, United Kingdom (C.M.M., I.B.W.); and Population Health Sciences, University of Bristol, United Kingdom (Y.B.-S.)
| | - Allan D Struthers
- From the Division of Molecular and Clinical Medicine, College of Medicine, University of Dundee, United Kingdom (J.R.W.-M., L.B., J.S., F.K., A.D.S., J.G.H.); NHS Tayside Clinical Radiology, Ninewells Hospital, Dundee, United Kingdom (P.T., M.B.-M., S.C.C.); Department of Research and Innovation, North York General Hospital, University of Toronto, Canada (F.S.); Centre for Genomic and Experimental Medicine, The University of Edinburgh, Western General Hospital, United Kingdom (H.M.C.); NIHR Exeter Clinical Research Facility, Royal Devon and Exeter Hospital and University of Exeter Medical School, United Kingdom (A.C.S., K.A.); Lund University Diabetes Centre, Lund University, Malmö, Sweden (L.G.); Department of Clinical Sciences Malmö, Lund University, Sweden (J.N.); Department of Cardiology, Wales Heart Research Institute, Cardiff, United Kingdom (J.R.C.); Division of Experimental Medicine & Immunotherapeutics, University of Cambridge, United Kingdom (C.M.M., I.B.W.); and Population Health Sciences, University of Bristol, United Kingdom (Y.B.-S.)
| | - Frank Sullivan
- From the Division of Molecular and Clinical Medicine, College of Medicine, University of Dundee, United Kingdom (J.R.W.-M., L.B., J.S., F.K., A.D.S., J.G.H.); NHS Tayside Clinical Radiology, Ninewells Hospital, Dundee, United Kingdom (P.T., M.B.-M., S.C.C.); Department of Research and Innovation, North York General Hospital, University of Toronto, Canada (F.S.); Centre for Genomic and Experimental Medicine, The University of Edinburgh, Western General Hospital, United Kingdom (H.M.C.); NIHR Exeter Clinical Research Facility, Royal Devon and Exeter Hospital and University of Exeter Medical School, United Kingdom (A.C.S., K.A.); Lund University Diabetes Centre, Lund University, Malmö, Sweden (L.G.); Department of Clinical Sciences Malmö, Lund University, Sweden (J.N.); Department of Cardiology, Wales Heart Research Institute, Cardiff, United Kingdom (J.R.C.); Division of Experimental Medicine & Immunotherapeutics, University of Cambridge, United Kingdom (C.M.M., I.B.W.); and Population Health Sciences, University of Bristol, United Kingdom (Y.B.-S.)
| | - Helen M Colhoun
- From the Division of Molecular and Clinical Medicine, College of Medicine, University of Dundee, United Kingdom (J.R.W.-M., L.B., J.S., F.K., A.D.S., J.G.H.); NHS Tayside Clinical Radiology, Ninewells Hospital, Dundee, United Kingdom (P.T., M.B.-M., S.C.C.); Department of Research and Innovation, North York General Hospital, University of Toronto, Canada (F.S.); Centre for Genomic and Experimental Medicine, The University of Edinburgh, Western General Hospital, United Kingdom (H.M.C.); NIHR Exeter Clinical Research Facility, Royal Devon and Exeter Hospital and University of Exeter Medical School, United Kingdom (A.C.S., K.A.); Lund University Diabetes Centre, Lund University, Malmö, Sweden (L.G.); Department of Clinical Sciences Malmö, Lund University, Sweden (J.N.); Department of Cardiology, Wales Heart Research Institute, Cardiff, United Kingdom (J.R.C.); Division of Experimental Medicine & Immunotherapeutics, University of Cambridge, United Kingdom (C.M.M., I.B.W.); and Population Health Sciences, University of Bristol, United Kingdom (Y.B.-S.)
| | - Angela C Shore
- From the Division of Molecular and Clinical Medicine, College of Medicine, University of Dundee, United Kingdom (J.R.W.-M., L.B., J.S., F.K., A.D.S., J.G.H.); NHS Tayside Clinical Radiology, Ninewells Hospital, Dundee, United Kingdom (P.T., M.B.-M., S.C.C.); Department of Research and Innovation, North York General Hospital, University of Toronto, Canada (F.S.); Centre for Genomic and Experimental Medicine, The University of Edinburgh, Western General Hospital, United Kingdom (H.M.C.); NIHR Exeter Clinical Research Facility, Royal Devon and Exeter Hospital and University of Exeter Medical School, United Kingdom (A.C.S., K.A.); Lund University Diabetes Centre, Lund University, Malmö, Sweden (L.G.); Department of Clinical Sciences Malmö, Lund University, Sweden (J.N.); Department of Cardiology, Wales Heart Research Institute, Cardiff, United Kingdom (J.R.C.); Division of Experimental Medicine & Immunotherapeutics, University of Cambridge, United Kingdom (C.M.M., I.B.W.); and Population Health Sciences, University of Bristol, United Kingdom (Y.B.-S.)
| | - Kunihiko Aizawa
- From the Division of Molecular and Clinical Medicine, College of Medicine, University of Dundee, United Kingdom (J.R.W.-M., L.B., J.S., F.K., A.D.S., J.G.H.); NHS Tayside Clinical Radiology, Ninewells Hospital, Dundee, United Kingdom (P.T., M.B.-M., S.C.C.); Department of Research and Innovation, North York General Hospital, University of Toronto, Canada (F.S.); Centre for Genomic and Experimental Medicine, The University of Edinburgh, Western General Hospital, United Kingdom (H.M.C.); NIHR Exeter Clinical Research Facility, Royal Devon and Exeter Hospital and University of Exeter Medical School, United Kingdom (A.C.S., K.A.); Lund University Diabetes Centre, Lund University, Malmö, Sweden (L.G.); Department of Clinical Sciences Malmö, Lund University, Sweden (J.N.); Department of Cardiology, Wales Heart Research Institute, Cardiff, United Kingdom (J.R.C.); Division of Experimental Medicine & Immunotherapeutics, University of Cambridge, United Kingdom (C.M.M., I.B.W.); and Population Health Sciences, University of Bristol, United Kingdom (Y.B.-S.)
| | - Leif Groop
- From the Division of Molecular and Clinical Medicine, College of Medicine, University of Dundee, United Kingdom (J.R.W.-M., L.B., J.S., F.K., A.D.S., J.G.H.); NHS Tayside Clinical Radiology, Ninewells Hospital, Dundee, United Kingdom (P.T., M.B.-M., S.C.C.); Department of Research and Innovation, North York General Hospital, University of Toronto, Canada (F.S.); Centre for Genomic and Experimental Medicine, The University of Edinburgh, Western General Hospital, United Kingdom (H.M.C.); NIHR Exeter Clinical Research Facility, Royal Devon and Exeter Hospital and University of Exeter Medical School, United Kingdom (A.C.S., K.A.); Lund University Diabetes Centre, Lund University, Malmö, Sweden (L.G.); Department of Clinical Sciences Malmö, Lund University, Sweden (J.N.); Department of Cardiology, Wales Heart Research Institute, Cardiff, United Kingdom (J.R.C.); Division of Experimental Medicine & Immunotherapeutics, University of Cambridge, United Kingdom (C.M.M., I.B.W.); and Population Health Sciences, University of Bristol, United Kingdom (Y.B.-S.)
| | - Jan Nilsson
- From the Division of Molecular and Clinical Medicine, College of Medicine, University of Dundee, United Kingdom (J.R.W.-M., L.B., J.S., F.K., A.D.S., J.G.H.); NHS Tayside Clinical Radiology, Ninewells Hospital, Dundee, United Kingdom (P.T., M.B.-M., S.C.C.); Department of Research and Innovation, North York General Hospital, University of Toronto, Canada (F.S.); Centre for Genomic and Experimental Medicine, The University of Edinburgh, Western General Hospital, United Kingdom (H.M.C.); NIHR Exeter Clinical Research Facility, Royal Devon and Exeter Hospital and University of Exeter Medical School, United Kingdom (A.C.S., K.A.); Lund University Diabetes Centre, Lund University, Malmö, Sweden (L.G.); Department of Clinical Sciences Malmö, Lund University, Sweden (J.N.); Department of Cardiology, Wales Heart Research Institute, Cardiff, United Kingdom (J.R.C.); Division of Experimental Medicine & Immunotherapeutics, University of Cambridge, United Kingdom (C.M.M., I.B.W.); and Population Health Sciences, University of Bristol, United Kingdom (Y.B.-S.)
| | - John R Cockcroft
- From the Division of Molecular and Clinical Medicine, College of Medicine, University of Dundee, United Kingdom (J.R.W.-M., L.B., J.S., F.K., A.D.S., J.G.H.); NHS Tayside Clinical Radiology, Ninewells Hospital, Dundee, United Kingdom (P.T., M.B.-M., S.C.C.); Department of Research and Innovation, North York General Hospital, University of Toronto, Canada (F.S.); Centre for Genomic and Experimental Medicine, The University of Edinburgh, Western General Hospital, United Kingdom (H.M.C.); NIHR Exeter Clinical Research Facility, Royal Devon and Exeter Hospital and University of Exeter Medical School, United Kingdom (A.C.S., K.A.); Lund University Diabetes Centre, Lund University, Malmö, Sweden (L.G.); Department of Clinical Sciences Malmö, Lund University, Sweden (J.N.); Department of Cardiology, Wales Heart Research Institute, Cardiff, United Kingdom (J.R.C.); Division of Experimental Medicine & Immunotherapeutics, University of Cambridge, United Kingdom (C.M.M., I.B.W.); and Population Health Sciences, University of Bristol, United Kingdom (Y.B.-S.)
| | - Carmel M McEniery
- From the Division of Molecular and Clinical Medicine, College of Medicine, University of Dundee, United Kingdom (J.R.W.-M., L.B., J.S., F.K., A.D.S., J.G.H.); NHS Tayside Clinical Radiology, Ninewells Hospital, Dundee, United Kingdom (P.T., M.B.-M., S.C.C.); Department of Research and Innovation, North York General Hospital, University of Toronto, Canada (F.S.); Centre for Genomic and Experimental Medicine, The University of Edinburgh, Western General Hospital, United Kingdom (H.M.C.); NIHR Exeter Clinical Research Facility, Royal Devon and Exeter Hospital and University of Exeter Medical School, United Kingdom (A.C.S., K.A.); Lund University Diabetes Centre, Lund University, Malmö, Sweden (L.G.); Department of Clinical Sciences Malmö, Lund University, Sweden (J.N.); Department of Cardiology, Wales Heart Research Institute, Cardiff, United Kingdom (J.R.C.); Division of Experimental Medicine & Immunotherapeutics, University of Cambridge, United Kingdom (C.M.M., I.B.W.); and Population Health Sciences, University of Bristol, United Kingdom (Y.B.-S.)
| | - Ian B Wilkinson
- From the Division of Molecular and Clinical Medicine, College of Medicine, University of Dundee, United Kingdom (J.R.W.-M., L.B., J.S., F.K., A.D.S., J.G.H.); NHS Tayside Clinical Radiology, Ninewells Hospital, Dundee, United Kingdom (P.T., M.B.-M., S.C.C.); Department of Research and Innovation, North York General Hospital, University of Toronto, Canada (F.S.); Centre for Genomic and Experimental Medicine, The University of Edinburgh, Western General Hospital, United Kingdom (H.M.C.); NIHR Exeter Clinical Research Facility, Royal Devon and Exeter Hospital and University of Exeter Medical School, United Kingdom (A.C.S., K.A.); Lund University Diabetes Centre, Lund University, Malmö, Sweden (L.G.); Department of Clinical Sciences Malmö, Lund University, Sweden (J.N.); Department of Cardiology, Wales Heart Research Institute, Cardiff, United Kingdom (J.R.C.); Division of Experimental Medicine & Immunotherapeutics, University of Cambridge, United Kingdom (C.M.M., I.B.W.); and Population Health Sciences, University of Bristol, United Kingdom (Y.B.-S.)
| | - Yoav Ben-Shlomo
- From the Division of Molecular and Clinical Medicine, College of Medicine, University of Dundee, United Kingdom (J.R.W.-M., L.B., J.S., F.K., A.D.S., J.G.H.); NHS Tayside Clinical Radiology, Ninewells Hospital, Dundee, United Kingdom (P.T., M.B.-M., S.C.C.); Department of Research and Innovation, North York General Hospital, University of Toronto, Canada (F.S.); Centre for Genomic and Experimental Medicine, The University of Edinburgh, Western General Hospital, United Kingdom (H.M.C.); NIHR Exeter Clinical Research Facility, Royal Devon and Exeter Hospital and University of Exeter Medical School, United Kingdom (A.C.S., K.A.); Lund University Diabetes Centre, Lund University, Malmö, Sweden (L.G.); Department of Clinical Sciences Malmö, Lund University, Sweden (J.N.); Department of Cardiology, Wales Heart Research Institute, Cardiff, United Kingdom (J.R.C.); Division of Experimental Medicine & Immunotherapeutics, University of Cambridge, United Kingdom (C.M.M., I.B.W.); and Population Health Sciences, University of Bristol, United Kingdom (Y.B.-S.)
| | - J Graeme Houston
- From the Division of Molecular and Clinical Medicine, College of Medicine, University of Dundee, United Kingdom (J.R.W.-M., L.B., J.S., F.K., A.D.S., J.G.H.); NHS Tayside Clinical Radiology, Ninewells Hospital, Dundee, United Kingdom (P.T., M.B.-M., S.C.C.); Department of Research and Innovation, North York General Hospital, University of Toronto, Canada (F.S.); Centre for Genomic and Experimental Medicine, The University of Edinburgh, Western General Hospital, United Kingdom (H.M.C.); NIHR Exeter Clinical Research Facility, Royal Devon and Exeter Hospital and University of Exeter Medical School, United Kingdom (A.C.S., K.A.); Lund University Diabetes Centre, Lund University, Malmö, Sweden (L.G.); Department of Clinical Sciences Malmö, Lund University, Sweden (J.N.); Department of Cardiology, Wales Heart Research Institute, Cardiff, United Kingdom (J.R.C.); Division of Experimental Medicine & Immunotherapeutics, University of Cambridge, United Kingdom (C.M.M., I.B.W.); and Population Health Sciences, University of Bristol, United Kingdom (Y.B.-S.).
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23
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Parikh JD, Hollingsworth KG, Wallace D, Blamire AM, MacGowan GA. Left ventricular functional, structural and energetic effects of normal aging: Comparison with hypertension. PLoS One 2017; 12:e0177404. [PMID: 28493996 PMCID: PMC5426746 DOI: 10.1371/journal.pone.0177404] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2017] [Accepted: 04/26/2017] [Indexed: 01/19/2023] Open
Abstract
Objectives Both aging and hypertension are significant risk factors for heart failure in the elderly. The purpose of this study was to determine how aging, with and without hypertension, affects left ventricular function. Methods Cross-sectional study of magnetic resonance imaging and 31P spectroscopy-based measurements of left ventricular structure, global function, strains, pulse wave velocity, high energy phosphate metabolism in 48 normal subjects and 40 treated hypertensive patients (though no other cardiovascular disease or diabetes) stratified into 3 age deciles from 50–79 years. Results Normal aging was associated with significant increases in systolic blood pressure, vascular stiffness, torsion, and impaired diastolic function (all P<0.05). Age-matched hypertension exacerbated the effects of aging on systolic pressure, and diastolic function. Hypertension alone, and not aging, was associated with increased left ventricular mass index, reduced energetic reserve, reduced longitudinal shortening and increased endocardial circumferential shortening (all P<0.05). Multiple linear regression analysis showed that these unique hypertensive features were significantly related to systolic blood pressure (P<0.05). Conclusions 1) Hypertension adds to the age-related changes in systolic blood pressure and diastolic function; 2) hypertension is uniquely associated with changes in several aspects of left ventricular structure, function, systolic strains, and energetics; and 3) these uniquely hypertensive-associated parameters are related to the level of systolic blood pressure and so are potentially modifiable.
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Affiliation(s)
- Jehill D. Parikh
- Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, United Kingdom
- Newcastle Magnetic Resonance Centre, Newcastle University, Newcastle upon Tyne, United Kingdom
- Centre for In Vivo Imaging, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Kieren G. Hollingsworth
- Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, United Kingdom
- Newcastle Magnetic Resonance Centre, Newcastle University, Newcastle upon Tyne, United Kingdom
- Centre for In Vivo Imaging, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Dorothy Wallace
- Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, United Kingdom
- Newcastle Magnetic Resonance Centre, Newcastle University, Newcastle upon Tyne, United Kingdom
- Centre for In Vivo Imaging, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Andrew M. Blamire
- Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, United Kingdom
- Newcastle Magnetic Resonance Centre, Newcastle University, Newcastle upon Tyne, United Kingdom
- Centre for In Vivo Imaging, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Guy A. MacGowan
- Centre for In Vivo Imaging, Newcastle University, Newcastle upon Tyne, United Kingdom
- Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, United Kingdom
- Department of Cardiology Freeman Hospital, Newcastle upon Tyne, United Kingdom
- * E-mail:
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24
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Weir-McCall JR, Khan F, Cassidy DB, Thakur A, Summersgill J, Matthew SZ, Adams F, Dove F, Gandy SJ, Colhoun HM, Belch JJF, Houston JG. Effects of inaccuracies in arterial path length measurement on differences in MRI and tonometry measured pulse wave velocity. BMC Cardiovasc Disord 2017; 17:118. [PMID: 28486936 PMCID: PMC5424356 DOI: 10.1186/s12872-017-0546-x] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2017] [Accepted: 04/28/2017] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Carotid-femoral pulse wave velocity (cf-PWV) and aortic PWV measured using MRI (MRI-PWV) show good correlation, but with a significant and consistent bias across studies. The aim of the current study was to evaluate whether the differences between cf.-PWV and MRI-PWV can be accounted for by inaccuracies of currently used distance measurements. METHODS One hundred fourteen study participants were recruited into one of 4 groups: Type 2 diabetes melltus (T2DM) with cardiovascular disease (CVD) (n = 23), T2DM without CVD (n = 41), CVD without T2DM (n = 25) and a control group (n = 25). All participants underwent cf.-PWV, cardiac MRI and whole body MR angiography(WB-MRA). 90 study participants also underwent aortic PWV using MRI. cf.-PWVEXT was performed using a SphygmoCor device (Atcor Medical, West Ryde, Australia). The true intra-arterial pathlength was measured using the WB-MRA and then used to recalculate the cf.-PWVEXT to give a cf.-PWVMRA. RESULTS Distance measurements were significantly lower on WB-MRA than on external tape measure (mean diff = -85.4 ± 54.0 mm,p < 0.001). MRI-PWV was significantly lower than cf.-PWVEXT (MRI-PWV = 8.1 ± 2.9 vs. cf.-PWVEXT = 10.9 ± 2.7 ms-1,p < 0.001). When cf.-PWV was recalculated using the inter-arterial distance from WB-MRA, this difference was significantly reduced but not lost (MRI-PWV = 8.1 ± 2.9 ms-1 vs. cf.-PWVMRA 9.1 ± 2.1 ms-1, mean diff = -0.96 ± 2.52 ms-1,p = 0.001). Recalculation of the PWV increased correlation with age and pulse pressure. CONCLUSION Differences in cf.-PWV and MRI PWV can be predominantly but not entirely explained by inaccuracies introduced by the use of simple surface measurements to represent the convoluted arterial path between the carotid and femoral arteries.
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Affiliation(s)
- Jonathan R Weir-McCall
- Division of Molecular and Clinical Medicine, Medical Research Institute, University of Dundee, Dundee, DD1 9SY UK
| | - Faisel Khan
- Division of Molecular and Clinical Medicine, Medical Research Institute, University of Dundee, Dundee, DD1 9SY UK
| | - Deirdre B Cassidy
- Division of Molecular and Clinical Medicine, Medical Research Institute, University of Dundee, Dundee, DD1 9SY UK
| | - Arsh Thakur
- Division of Molecular and Clinical Medicine, Medical Research Institute, University of Dundee, Dundee, DD1 9SY UK
| | - Jennifer Summersgill
- Division of Molecular and Clinical Medicine, Medical Research Institute, University of Dundee, Dundee, DD1 9SY UK
| | - Shona Z Matthew
- Division of Molecular and Clinical Medicine, Medical Research Institute, University of Dundee, Dundee, DD1 9SY UK
| | - Fiona Adams
- Division of Molecular and Clinical Medicine, Medical Research Institute, University of Dundee, Dundee, DD1 9SY UK
| | - Fiona Dove
- Division of Molecular and Clinical Medicine, Medical Research Institute, University of Dundee, Dundee, DD1 9SY UK
| | - Stephen J Gandy
- NHS Tayside Medical Physics, Ninewells Hospital, Dundee, Scotland, UK
| | - Helen M Colhoun
- Centre for Genomic and Experimental Medicine, The University of Edinburgh, Western General Hospital, Crewe Road, Edinburgh, EH4 2XU Scotland, UK
| | - Jill JF Belch
- Division of Molecular and Clinical Medicine, Medical Research Institute, University of Dundee, Dundee, DD1 9SY UK
| | - J Graeme Houston
- Division of Molecular and Clinical Medicine, Medical Research Institute, University of Dundee, Dundee, DD1 9SY UK
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25
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Hermesdorf M, Berger K, Szentkirályi A, Schwindt W, Dannlowski U, Wersching H. Reduced fractional anisotropy in patients with major depressive disorder and associations with vascular stiffness. NEUROIMAGE-CLINICAL 2017; 14:151-155. [PMID: 28180073 PMCID: PMC5279701 DOI: 10.1016/j.nicl.2017.01.013] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/21/2016] [Revised: 12/19/2016] [Accepted: 01/15/2017] [Indexed: 11/29/2022]
Abstract
Previous studies revealed several alterations of the cerebral white matter in patients with major depressive disorder. However, it is unknown if these alterations are associated with vascular changes in the brain and other body parts. We compared diffusion tensor imaging derived fractional anisotropy in a well characterized sample of middle-aged patients with major depressive disorder (n = 290) and never-depressed controls (n = 346) by the method of tract-based spatial statistics. Subsequently, the potential role of pulse wave velocity as a mediator of depression- and age-related changes in extracted estimates of fractional anisotropy were analyzed. The results of the tract-based analysis revealed significantly reduced fractional anisotropy in the left posterior thalamic radiation associated with depression. Analyses of extracted data indicated additional reductions of fractional anisotropy bilaterally in the posterior thalamic radiation and in the left sagittal stratum. The analyses of indirect effects did not show any significant mediation of depression-related effects on fractional anisotropy via pulse wave velocity. However, age-related effects on fractional anisotropy were partially mediated by pulse wave velocity. In conclusion, major depressive disorder is associated with detrimental effects on cerebral white matter microstructure properties which are independent of vascular changes, as measured by pulse wave velocity. However, a portion of age-related detrimental effects on white matter is explained by vascular changes. Longitudinal studies are required for investigating changes in white matter and vascular parameters over time and their association with incident depression. Depression is associated with reduced fractional anisotropy in the posterior thalamic radiation and in the sagittal stratum. Pulse wave velocity is associated with reduced fractional anisotropy across the cerebral white matter. Pulse wave velocity does not mediate depression-related effects on white matter microstructure. Pulse wave velocity mediates a part of age-related detrimental effects on white matter microstructure.
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Affiliation(s)
- Marco Hermesdorf
- Institute of Epidemiology and Social Medicine, University of Münster, Germany
| | - Klaus Berger
- Institute of Epidemiology and Social Medicine, University of Münster, Germany
| | - András Szentkirályi
- Institute of Epidemiology and Social Medicine, University of Münster, Germany
| | - Wolfram Schwindt
- Department of Clinical Radiology, University Hospital Münster, Germany
| | - Udo Dannlowski
- Department of Psychiatry, University of Münster, Germany; Department of Psychiatry, University of Marburg, Germany
| | - Heike Wersching
- Institute of Epidemiology and Social Medicine, University of Münster, Germany
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26
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Parikh JD, Hollingsworth KG, Wallace D, Blamire AM, MacGowan GA. Normal age-related changes in left ventricular function: Role of afterload and subendocardial dysfunction. Int J Cardiol 2016; 223:306-312. [PMID: 27543698 PMCID: PMC5073997 DOI: 10.1016/j.ijcard.2016.07.252] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2016] [Revised: 07/13/2016] [Accepted: 07/30/2016] [Indexed: 01/06/2023]
Abstract
BACKGROUND In normal ageing, both vascular and ventricular properties change, and how these affect left ventricular function is not clear. METHODS 96 subjects (ages 20-79) without cardiovascular disease underwent cardiac magnetic resonance (MR) imaging for measurement of global function, diastolic function (E/A ratio), MR tagging for measurement of torsion to shortening ratio (TSR, ratio of epicardial torsion to endocardial circumferential shortening, with increase in TSR suggesting subendocardial dysfunction relative to the subepicardium), and phase contrast MR imaging measurement of central aortic pulse wave velocity (PWV). The Vicorder device was used to measure carotid to femoral PWV. RESULTS Univariate correlations established that the 4 principal age-related changes in the left ventricular function were: 1) diastolic function: E/A ratio (r: -0.61, p<0.00001); 2) global systolic function: cardiac output (r: -0.49, p<0.00001), 3) structure: end-diastolic volume index (r: -0.39, p<0.0001), and 4) systolic strains: TSR (r: 0.49, p<0.0001). Multiple linear regression analysis showed that age was the dominant factor in predicting changes in cardiac output and E/A ratio (both p<0.01). Increased TSR was significantly related to reduced cardiac output and end-diastolic volume index (p<0.05 and p<0.01 respectively). Measures of vascular stiffness were not significantly related to any of these variables, but increased effective arterial elastance (afterload) was significantly related to reduced E/A ratio (p<0.05). CONCLUSIONS In this group of normal ageing subjects, afterload but not vascular stiffness is significantly related to diastolic dysfunction. Increased TSR, suggesting relative subendocardial dysfunction, has a significant role in reductions of cardiac output and end-diastolic volume index.
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Affiliation(s)
- Jehill D Parikh
- Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, United Kingdom; Newcastle Magnetic Resonance Centre, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Kieren G Hollingsworth
- Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, United Kingdom; Newcastle Magnetic Resonance Centre, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Dorothy Wallace
- Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, United Kingdom; Newcastle Magnetic Resonance Centre, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Andrew M Blamire
- Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, United Kingdom; Newcastle Magnetic Resonance Centre, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Guy A MacGowan
- Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, United Kingdom; Centre for In Vivo Imaging, Newcastle University, Newcastle upon Tyne, United Kingdom; Dept. of Cardiology, Freeman Hospital, Newcastle upon Tyne, United Kingdom.
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