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Kiuchi S, Hisatake S, Kabuki T, Dobashi S, Murakami Y, Ikeda T. Importance of anemia in heart failure over blood pressure variability. Clin Cardiol 2023; 46:1495-1503. [PMID: 37649390 PMCID: PMC10716338 DOI: 10.1002/clc.24141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 08/08/2023] [Accepted: 08/21/2023] [Indexed: 09/01/2023] Open
Abstract
BACKGROUND The evaluation of arteriosclerosis (vascular function) is important when treating heart failure (HF). Vascular dysfunction is associated with anemia through renal function and endothelial nitric oxide synthase. Additionally, blood pressure (BP) variability (BPV) caused by vascular dysfunction is also associated with HF prognosis. However, how anemia and BPV may affect HF prognosis is unclear. METHODS Between January 2012 and July 2018, 214 patients with HF were hospitalized. The cardio-ankle vascular index (CAVI) as an index of arteriosclerosis of these patients was measured. The patients were divided into the elevated and preserved CAVI groups. We investigated the factors related to major adverse cardiovascular events (MACEs) as cardiovascular death or rehospitalization within 1 year after discharge. RESULTS In the elevated CAVI group, significant differences in body mass index (BMI), BPV, left ventricular dimension, and hemoglobin levels were observed between patients with and without MACEs. In the preserved CAVI group, significant differences in BMI, diastolic/mean BP, and hemoglobin levels were observed between those with and without MACEs. The multivariate analysis showed an independent association between hemoglobin levels and MACE occurrence in both the elevated and preserved CAVI groups (elevated CAVI group: hazard ratio [HR] = 0.800, p = .045 [model 1], HR = 0.802, p = .035 [model 2]; preserved CAVI group: HR = 0.783, p = .049 [model 1], HR = 0.752, p = .023 [model 2], and HR = 0.754, p = .024 [model 3]). CONCLUSIONS Anemia was independently associated with HF prognosis with or without arteriosclerosis.
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Affiliation(s)
- Shunsuke Kiuchi
- Department of Cardiovascular MedicineToho University Faculty of MedicineTokyoJapan
| | - Shinji Hisatake
- Department of Cardiovascular MedicineToho University Faculty of MedicineTokyoJapan
| | - Takayuki Kabuki
- Department of Cardiovascular MedicineToho University Faculty of MedicineTokyoJapan
| | - Shintaro Dobashi
- Department of Cardiovascular MedicineToho University Faculty of MedicineTokyoJapan
| | - Yoshiki Murakami
- Department of Cardiovascular MedicineToho University Faculty of MedicineTokyoJapan
| | - Takanori Ikeda
- Department of Cardiovascular MedicineToho University Faculty of MedicineTokyoJapan
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Kaze AD, Yuyun MF, Fonarow GC, Echouffo-Tcheugui JB. Blood Pressure Variability and Risk of Atrial Fibrillation in Adults With Type 2 Diabetes. JACC. ADVANCES 2023; 2:100382. [PMID: 37427148 PMCID: PMC10328185 DOI: 10.1016/j.jacadv.2023.100382] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 02/27/2023] [Accepted: 03/27/2023] [Indexed: 07/11/2023]
Abstract
BACKGROUND There is a paucity of epidemiological data on the association between long-term variability of blood pressure (BP) and incident atrial fibrillation (AF). OBJECTIVES The purpose of this study was to evaluate the association of BP variability with incident AF in a large sample of adults with type 2 diabetes. METHODS We included participants who had ≥5 BP measurements in the first 24 months of action to control cardiovascular risk in diabetes. The visit-to-visit variability of systolic blood pressure (SBP) and diastolic blood pressure (DBP) was estimated using the coefficient of variation, SD, and variability independent of the mean. Incident AF was recorded using follow-up electrocardiograms. Modified Poisson regression was used to generate risk ratios (RRs) and 95% CI for AF. RESULTS A total of 8,399 participants were included (average age 62.6 ± 6.5 years, 38.8% women, 63.2% White). Over a median follow-up of 5 years, 155 developed AF. Compared to the lowest quartile, the highest quartile of BP variability was associated with an increased risk of AF (RR: 1.85 [95% CI: 1.13-3.03] and 1.63 [95% CI: 1.01-2.65] for coefficient of variation of SBP and DBP, respectively). Participants in the highest quartile of both SBP and DBP had a 2-fold higher risk of AF compared to those in the lowest 3 quartiles of both SBP and DBP (RR: 1.94; 95% CI: 1.29-2.93). CONCLUSIONS In a large cohort of adults with type 2 diabetes, higher variability in SBP and DBP was independently associated with an increased risk of AF.
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Affiliation(s)
- Arnaud D. Kaze
- Department of Medicine, University of Maryland Medical Center, Baltimore, Maryland, USA
| | - Matthew F. Yuyun
- Department of Medicine, Harvard Medical School & Veteran Affairs Boston Healthcare System, Boston, Massachusetts, USA
| | - Gregg C. Fonarow
- Ahmanson-UCLA Cardiomyopathy Center, Ronald Reagan UCLA Medical Center, Los Angeles, California, USA
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Sheikh AB, Sobotka PA, Garg I, Dunn JP, Minhas AMK, Shandhi MMH, Molinger J, McDonnell BJ, Fudim M. Blood Pressure Variability in Clinical Practice: Past, Present and the Future. J Am Heart Assoc 2023; 12:e029297. [PMID: 37119077 PMCID: PMC10227216 DOI: 10.1161/jaha.122.029297] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/30/2023]
Abstract
Recent advances in wearable technology through convenient and cuffless systems will enable continuous, noninvasive monitoring of blood pressure (BP), heart rate, and heart rhythm on both longitudinal 24-hour measurement scales and high-frequency beat-to-beat BP variability and synchronous heart rate variability and changes in underlying heart rhythm. Clinically, BP variability is classified into 4 main types on the basis of the duration of monitoring time: very-short-term (beat to beat), short-term (within 24 hours), medium-term (within days), and long-term (over months and years). BP variability is a strong risk factor for cardiovascular diseases, chronic kidney disease, cognitive decline, and mental illness. The diagnostic and therapeutic value of measuring and controlling BP variability may offer critical targets in addition to lowering mean BP in hypertensive populations.
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Affiliation(s)
- Abu Baker Sheikh
- Department of Internal MedicineUniversity of New Mexico Health Sciences CenterAlbuquerqueNMUSA
| | - Paul A. Sobotka
- Division of CardiologyDuke University Medical CenterDurhamNCUSA
| | - Ishan Garg
- Department of Internal MedicineUniversity of New Mexico Health Sciences CenterAlbuquerqueNMUSA
| | - Jessilyn P. Dunn
- Department of Biomedical EngineeringDuke UniversityDurhamNCUSA
- Department of Biostatistics & BioinformaticsDuke UniversityDurhamNCUSA
| | | | | | | | - Barry J. McDonnell
- Department of Biomedical ResearchCardiff Metropolitan UniversitySchool of Sport and Health SciencesCardiffUnited Kingdom
| | - Marat Fudim
- Division of CardiologyDuke University Medical CenterDurhamNCUSA
- Duke Clinical Research InstituteDurhamNCUSA
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Liu Y, Luo X, Jia H, Yu B. The Effect of Blood Pressure Variability on Coronary Atherosclerosis Plaques. Front Cardiovasc Med 2022; 9:803810. [PMID: 35369353 PMCID: PMC8965230 DOI: 10.3389/fcvm.2022.803810] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 02/18/2022] [Indexed: 12/17/2022] Open
Abstract
Hypertension is one of the most important risk factors for coronary heart disease (CHD). The regulation of blood pressure plays a significant role in the development and prognosis of CHD. Blood pressure variability (BPV) refers to the degree of fluctuation of blood pressure over a period of time and is an important indicator of blood pressure stability. Blood pressure fluctuations are complex physiological phenomena, being affected by physiological and pharmacological effects and regulated by behavioral, environmental, hydrodynamic, and neural factors. According to the different time periods for measuring BPV, it can be divided into very short-term, short-term, mid-term, and long-term. Multiple cardiovascular disease animal models and clinical experiments have consistently indicated that abnormal BPV is closely related to coronary events and is a risk factor for CHD independently of average blood pressure. Thrombosis secondary to plaque rupture (PR) or plaque erosion can cause varying blood flow impairment, which is the main pathological basis of CHD. Plaque morphology and composition can influence the clinical outcome, treatment, and prognosis of patients with CHD. Research has shown that PR is more easily induced by hypertension. After adjusting for the traditional factors associated with plaque development, in recent years, some new discoveries have been made on the influence of abnormal BPV on the morphology and composition of coronary plaques and related mechanisms, including inflammation and hemodynamics. This article reviews the impact of BPV on coronary plaques and their related mechanisms, with a view to prevent the occurrence and development of CHD by controlling BPV and to provide new prevention and treatment strategies for the clinical treatment of abnormal blood pressure.
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Affiliation(s)
- Yue Liu
- Department of Cardiology, 2nd Affiliated Hospital of Harbin Medical University, Harbin, China
- Key Laboratory of Myocardial Ischemia, Ministry of Education, Harbin Medical University, Harbin, China
| | - Xing Luo
- Department of Cardiology, 2nd Affiliated Hospital of Harbin Medical University, Harbin, China
- Key Laboratory of Myocardial Ischemia, Ministry of Education, Harbin Medical University, Harbin, China
| | - Haibo Jia
- Department of Cardiology, 2nd Affiliated Hospital of Harbin Medical University, Harbin, China
- Key Laboratory of Myocardial Ischemia, Ministry of Education, Harbin Medical University, Harbin, China
- *Correspondence: Haibo Jia
| | - Bo Yu
- Department of Cardiology, 2nd Affiliated Hospital of Harbin Medical University, Harbin, China
- Key Laboratory of Myocardial Ischemia, Ministry of Education, Harbin Medical University, Harbin, China
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Kaze AD, Erqou S, Santhanam P, Bertoni AG, Ahima RS, Fonarow GC, Echouffo-Tcheugui JB. Variability of adiposity indices and incident heart failure among adults with type 2 diabetes. Cardiovasc Diabetol 2022; 21:16. [PMID: 35105339 PMCID: PMC8805255 DOI: 10.1186/s12933-021-01440-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Accepted: 12/30/2021] [Indexed: 12/19/2022] Open
Abstract
Background It remains unclear how the variability of adiposity indices relates to incident HF. This study evaluated the associations of the variability in several adiposity indices with incident heart failure (HF) in individuals with type 2 diabetes (T2DM). Methods We included 4073 participants from the Look AHEAD (Action for Health in Diabetes) study. We assessed variability of body mass index (BMI), waist circumference (WC), and body weight across four annual visits using three variability metrics, the variability independent of the mean (VIM), coefficient of variation (CV), and intraindividual standard deviation (SD). Multivariable Cox regression models were used to generate adjusted hazard ratios (aHR) and 95% confidence intervals (CI) for incident HF. Results Over a median of 6.7 years, 120 participants developed incident HF. After adjusting for relevant confounders including baseline adiposity levels, the aHR for the highest (Q4) versus lowest quartile (Q1) of VIM of BMI was 3.61 (95% CI 1.91–6.80). The corresponding aHRs for CV and SD of BMI were 2.48 (95% CI 1.36–4.53) and 2.88 (1.52–5.46), respectively. Regarding WC variability, the equivalent aHRs were 1.90 (95% CI 1.11–3.26), 1.79 (95% CI 1.07–3.01), and 1.73 (1.01–2.95) for Q4 versus Q1 of VIM, CV and SD of WC, respectively. Conclusions In a large sample of adults with T2DM, a greater variability of adiposity indices was associated with higher risks of incident HF, independently of traditional risk factors and baseline adiposity levels. Registration-URL:https://clinicaltrials.gov/ct2/show/NCT00000620. Supplementary Information The online version contains supplementary material available at 10.1186/s12933-021-01440-1.
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Affiliation(s)
- Arnaud D Kaze
- Department of Medicine, SOVAH Health, Danville, VA, USA
| | - Sebhat Erqou
- Department of Medicine, Division of Cardiology, Providence VA Medical Center and Alpert Medical School of Brown University, Providence, RI, USA
| | - Prasanna Santhanam
- Department of Medicine, Division of Endocrinology, Diabetes & Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD, 21224, USA
| | - Alain G Bertoni
- Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Rexford S Ahima
- Department of Medicine, Division of Endocrinology, Diabetes & Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD, 21224, USA
| | - Gregg C Fonarow
- Ahmanson-UCLA Cardiomyopathy Center, Ronald Reagan UCLA Medical Center, Los Angeles, CA, USA
| | - Justin B Echouffo-Tcheugui
- Department of Medicine, Division of Endocrinology, Diabetes & Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD, 21224, USA. .,Welch Prevention Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, MD, USA.
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Nagai M, Kario K. Visit-to-visit office blood pressure variability revisited in SPRINT. J Clin Hypertens (Greenwich) 2021; 23:1526-1528. [PMID: 34196479 PMCID: PMC8678787 DOI: 10.1111/jch.14313] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2021] [Accepted: 06/21/2021] [Indexed: 12/01/2022]
Affiliation(s)
- Michiaki Nagai
- Department of Cardiology, Hiroshima City Asa Hospital, Hiroshima, Japan
| | - Kazuomi Kario
- Division of Cardiovascular Medicine, Department of Medicine, Jichi Medical University School of Medicine, Tochigi, Japan
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Kaze AD, Santhanam P, Erqou S, Bertoni AG, Ahima RS, Echouffo-Tcheugui JB. Long-term variability of blood pressure and incidence of heart failure among individuals with Type 2 diabetes. ESC Heart Fail 2021; 8:2959-2967. [PMID: 34032375 PMCID: PMC8318432 DOI: 10.1002/ehf2.13385] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Revised: 04/08/2021] [Accepted: 04/12/2021] [Indexed: 01/01/2023] Open
Abstract
AIMS Data on the association of long-term variability of blood pressure (BP) with incident heart failure (HF) in individuals with Type 2 diabetes are scarce. We evaluated this association in a large community-based sample of adults with Type 2 diabetes. METHODS AND RESULTS A total of 4200 participants with Type 2 diabetes who had available BP measurements at four visits (baseline and 12, 24, and 36 months) in the Look AHEAD (Action for Health in Diabetes) study were included. Variability of systolic BP (SBP) and diastolic BP (DBP) across the four visits was assessed using four metrics. Participants free of HF during the first 36 months were followed for HF events. Cox regression was used to generate hazard ratios (HRs) and 95% confidence intervals (CIs) for HF. Of the 4200 participants, the average age was 59 years [standard deviation (SD): 6.8]; 58.5% were women. Over a median follow-up of 6.7 years, 129 developed HF events. After adjusting for relevant confounders, the HR of incident HF for the highest vs. lowest quartile of SD of SBP was 1.77 (95% CI 1.01-3.09); the HR for the highest (vs. lowest) quartile of variability independent of the mean of SBP was 1.29 (95% CI 0.78-2.14). The adjusted HR for participants in the highest (compared with the lowest) quartile of SD of DBP was 1.61 (95% CI 1.01-2.59), and the adjusted HR for variability independent of the mean of DBP was 1.65 (95% CI 1.03-2.65). CONCLUSIONS A greater variability in SBP and DBP is independently associated with greater risk of incident HF in individuals with Type 2 diabetes.
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Affiliation(s)
- Arnaud D Kaze
- Department of Medicine, University of Maryland Medical Center, Baltimore, MD, USA
| | - Prasanna Santhanam
- Department of Medicine, Division of Endocrinology, Diabetes, and Metabolism, Johns Hopkins School of Medicine, Baltimore, MD, 21224, USA
| | - Sebhat Erqou
- Department of Medicine, Providence VA Medical Center and Alpert Medical School of Brown University, Providence, RI, USA
| | - Alain G Bertoni
- Department of Epidemiology and Prevention, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Rexford S Ahima
- Department of Medicine, Division of Endocrinology, Diabetes, and Metabolism, Johns Hopkins School of Medicine, Baltimore, MD, 21224, USA
| | - Justin B Echouffo-Tcheugui
- Department of Medicine, Division of Endocrinology, Diabetes, and Metabolism, Johns Hopkins School of Medicine, Baltimore, MD, 21224, USA
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