Literature DB >> 32092246

Rationale, design, and baseline characteristics of the Cardiovascular Prognostic COUPLING Study in Japan (the COUPLING Registry).

Kazuomi Kario1, Tomoyuki Kabutoya1, Takeshi Fujiwara1, Keita Negishi1, Masafumi Nishizawa2, Mitsuyoshi Yamamoto3, Kayo Yamagiwa4, Akihiro Kawashima5, Tetsuro Yoshida6, Jun Nakazato7, Yoshio Matsui8, Hiromitsu Sekizuka9, Hideyasu Abe10, Yasuhisa Abe10, Yumiko Fujita11, Kei Sato12, Keisuke Narita13, Norihiro Tsuchiya14, Yoshiaki Kubota15, Toshikazu Hashizume16, Satoshi Hoshide1.   

Abstract

Vascular biomarkers, including the cardio-ankle vascular index (CAVI), are increasingly being recognized as important indicators of cardiovascular risk. CAVI has been shown to have good discriminative ability for detecting new-onset hypertension, but results of studies investigating cardiovascular risk prediction are inconsistent. Furthermore, there is a lack of data on the prognostic value of changes in CAVI over time. The Cardiovascular Prognostic Coupling study was designed to determine the impact of baseline CAVI and changes in CAVI on cardiovascular events in a Japanese cohort. The design of the ongoing, multicenter, prospective, observational registry and baseline characteristics of the enrolled population are reported. Eligible consecutive patients were aged ≥30 years, had ≥1 cardiovascular risk factor, and were being treated according to relevant Japanese guidelines. The primary outcome is time to onset of a major cardiovascular event (a composite of cerebral infarction, cerebral hemorrhage, subarachnoid hemorrhage, stroke of unknown etiology, myocardial infarction, cardiovascular intervention for angina pectoris, and sudden death). Screening and enrollment occurred over a period of 3 years, followed by ≥7 years of follow-up, with CAVI determined annually. A total of 5279 patients were registered, of whom 5109 had baseline data available and will be included in future analyses. Mean CAVI at baseline was 8.8 ± 1.4. The proportion of patients with CAVI of <8, 8-10 or >10 was 25.3%, 57.0%, and 17.7%, respectively. Data from this registry should provide information on the significance of baseline CAVI and change in CAVI as indicators of cardiovascular prognosis in a representative patient population.
© 2019 Wiley Periodicals, Inc.

Entities:  

Keywords:  cardio-ankle vascular index; cardiovascular death; cardiovascular risk; registry; stroke

Mesh:

Year:  2020        PMID: 32092246      PMCID: PMC8029964          DOI: 10.1111/jch.13764

Source DB:  PubMed          Journal:  J Clin Hypertens (Greenwich)        ISSN: 1524-6175            Impact factor:   3.738


  33 in total

1.  Association of cardio-ankle vascular index with cardiovascular risk factors and cardiovascular events in metabolic syndrome patients.

Authors:  Aleksandras Laucevičius; Ligita Ryliškytė; Jūratė Balsytė; Jolita Badarienė; Roma Puronaitė; Rokas Navickas; Svetlana Solovjova
Journal:  Medicina (Kaunas)       Date:  2015-06-16       Impact factor: 2.430

2.  Cardio-ankle vascular index (CAVI) correlates with aortic stiffness in the thoracic aorta using ECG-gated multi-detector row computed tomography.

Authors:  Shigeo Horinaka; Hiroshi Yagi; Kimihiko Ishimura; Hiromitchi Fukushima; Yoshimasa Shibata; Rie Sugawara; Toshihiko Ishimitsu
Journal:  Atherosclerosis       Date:  2014-05-09       Impact factor: 5.162

Review 3.  Cardio-ankle vascular index (CAVI) as a novel indicator of arterial stiffness: theory, evidence and perspectives.

Authors:  Kohji Shirai; Noriyuki Hiruta; Mingquiang Song; Takumi Kurosu; Jun Suzuki; Takanobu Tomaru; Yoh Miyashita; Atsuto Saiki; Mao Takahashi; Kenji Suzuki; Masanobu Takata
Journal:  J Atheroscler Thromb       Date:  2011-05-31       Impact factor: 4.928

4.  Distribution of coronary artery calcium scores by Framingham 10-year risk strata in the MESA (Multi-Ethnic Study of Atherosclerosis) potential implications for coronary risk assessment.

Authors:  Tochi M Okwuosa; Philip Greenland; Hongyan Ning; Kiang Liu; Diane E Bild; Gregory L Burke; John Eng; Donald M Lloyd-Jones
Journal:  J Am Coll Cardiol       Date:  2011-05-03       Impact factor: 24.094

5.  Brachial-ankle pulse wave velocity as a marker of atherosclerotic vascular damage and cardiovascular risk.

Authors:  Akira Yamashina; Hirofumi Tomiyama; Tomio Arai; Ken-ichi Hirose; Yutaka Koji; Yoji Hirayama; Yoshio Yamamoto; Saburoh Hori
Journal:  Hypertens Res       Date:  2003-08       Impact factor: 3.872

6.  Serial assessment of arterial stiffness by cardio-ankle vascular index for prediction of future cardiovascular events in patients with coronary artery disease.

Authors:  Kenichiro Otsuka; Shota Fukuda; Kenei Shimada; Kenji Suzuki; Koki Nakanishi; Minoru Yoshiyama; Junichi Yoshikawa
Journal:  Hypertens Res       Date:  2014-07-10       Impact factor: 3.872

7.  Coronary Artery Calcium Score Compared with Cardio-Ankle Vascular Index in the Prediction of Cardiovascular Events in Asymptomatic Patients with Type 2 Diabetes.

Authors:  Sheng-Liang Chung; Chih-Chieh Yang; Chao-Chin Chen; Yu-Cheng Hsu; Meng-Huan Lei
Journal:  J Atheroscler Thromb       Date:  2015-08-13       Impact factor: 4.928

8.  Cardio-ankle vascular index and cardiovascular disease: Systematic review and meta-analysis of prospective and cross-sectional studies.

Authors:  Kunihiro Matsushita; Ning Ding; Esther D Kim; Matthew Budoff; Julio A Chirinos; Bo Fernhall; Naomi M Hamburg; Kazuomi Kario; Toru Miyoshi; Hirofumi Tanaka; Raymond Townsend
Journal:  J Clin Hypertens (Greenwich)       Date:  2018-11-19       Impact factor: 3.738

9.  Coefficients in the CAVI Equation and the Comparison Between CAVI With and Without the Coefficients Using Clinical Data.

Authors:  Koji Takahashi; Tomoyuki Yamamoto; Shinichi Tsuda; Fumio Okabe; Tadashi Shimose; Yoshinori Tsuji; Kenji Suzuki; Kuniaki Otsuka; Masanobu Takata; Kazuhiro Shimizu; Junji Uchino; Kohji Shirai
Journal:  J Atheroscler Thromb       Date:  2018-12-04       Impact factor: 4.928

10.  Rationale, design, and baseline characteristics of the Cardiovascular Prognostic COUPLING Study in Japan (the COUPLING Registry).

Authors:  Kazuomi Kario; Tomoyuki Kabutoya; Takeshi Fujiwara; Keita Negishi; Masafumi Nishizawa; Mitsuyoshi Yamamoto; Kayo Yamagiwa; Akihiro Kawashima; Tetsuro Yoshida; Jun Nakazato; Yoshio Matsui; Hiromitsu Sekizuka; Hideyasu Abe; Yasuhisa Abe; Yumiko Fujita; Kei Sato; Keisuke Narita; Norihiro Tsuchiya; Yoshiaki Kubota; Toshikazu Hashizume; Satoshi Hoshide
Journal:  J Clin Hypertens (Greenwich)       Date:  2020-02-24       Impact factor: 3.738

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  9 in total

1.  Randomized, "head-to-head" studies comparing different SGLT2 inhibitors are definitely needed.

Authors:  Kazuomi Kario; Noriko Harada; Satoshi Hoshide
Journal:  J Clin Hypertens (Greenwich)       Date:  2020-10-21       Impact factor: 3.738

2.  Cardio-Ankle Vascular Index Reflects Impaired Exercise Capacity and Predicts Adverse Prognosis in Patients With Heart Failure.

Authors:  Koichiro Watanabe; Akiomi Yoshihisa; Yu Sato; Yu Hotsuki; Fumiya Anzai; Yasuhiro Ichijo; Yusuke Kimishima; Tetsuro Yokokawa; Tomofumi Misaka; Takamasa Sato; Takashi Kaneshiro; Masayoshi Oikawa; Atsushi Kobayashi; Yasuchika Takeishi
Journal:  Front Cardiovasc Med       Date:  2021-03-29

3.  Assessment of Arterial Stiffness by Cardio-Ankle Vascular Index for Prediction of Five-Year Cardiovascular Events After Coronary Artery Bypass Surgery.

Authors:  Alexei N Sumin; Anna V Shcheglova; Irina I ZHidkova; Sergey V Ivanov; Olga L Barbarash
Journal:  Glob Heart       Date:  2021-12-27

4.  Cardio-Ankle Vascular Index Predicts Post-Discharge Stroke in Patients with Heart Failure.

Authors:  Yu Sato; Akiomi Yoshihisa; Yasuhiro Ichijo; Koichiro Watanabe; Yu Hotsuki; Yusuke Kimishima; Tetsuro Yokokawa; Tomofumi Misaka; Takamasa Sato; Takashi Kaneshiro; Masayoshi Oikawa; Atsushi Kobayashi; Yasuchika Takeishi
Journal:  J Atheroscler Thromb       Date:  2020-09-25       Impact factor: 4.928

5.  Cardio-Ankle Vascular Index in the Persons with Pre-Diabetes and Diabetes Mellitus in the Population Sample of the Russian Federation.

Authors:  Alexei N Sumin; Natalia A Bezdenezhnykh; Andrey V Bezdenezhnykh; Galina V Artamonova
Journal:  Diagnostics (Basel)       Date:  2021-03-08

6.  Different age-related impacts of lean and obesity on cardiovascular prognosis in Japanese patients with cardiovascular risks: The J-HOP (Japan Morning Surge-Home Blood Pressure) Study.

Authors:  Shinichi Toriumi; Tomoyuki Kabutoya; Satoshi Hoshide; Kazuomi Kario
Journal:  J Clin Hypertens (Greenwich)       Date:  2021-01-02       Impact factor: 3.738

Review 7.  The HOPE Asia Network activity for "zero" cardiovascular events in Asia: Overview 2020.

Authors:  Kazuomi Kario
Journal:  J Clin Hypertens (Greenwich)       Date:  2020-02-24       Impact factor: 3.738

8.  Rationale, design, and baseline characteristics of the Cardiovascular Prognostic COUPLING Study in Japan (the COUPLING Registry).

Authors:  Kazuomi Kario; Tomoyuki Kabutoya; Takeshi Fujiwara; Keita Negishi; Masafumi Nishizawa; Mitsuyoshi Yamamoto; Kayo Yamagiwa; Akihiro Kawashima; Tetsuro Yoshida; Jun Nakazato; Yoshio Matsui; Hiromitsu Sekizuka; Hideyasu Abe; Yasuhisa Abe; Yumiko Fujita; Kei Sato; Keisuke Narita; Norihiro Tsuchiya; Yoshiaki Kubota; Toshikazu Hashizume; Satoshi Hoshide
Journal:  J Clin Hypertens (Greenwich)       Date:  2020-02-24       Impact factor: 3.738

9.  Age-related difference of the association of cardiovascular risk factors with the cardio-ankle vascular index in the Cardiovascular Prognostic Coupling Study in Japan (the Coupling Registry).

Authors:  Tomoyuki Kabutoya; Satoshi Hoshide; Takeshi Fujiwara; Keita Negishi; Masafumi Nishizawa; Mitsuyoshi Yamamoto; Kayo Yamagiwa; Akihiro Kawashima; Tetsuro Yoshida; Jun Nakazato; Yoshio Matsui; Hiromitsu Sekizuka; Hideyasu Abe; Yasuhisa Abe; Yumiko Fujita; Kei Sato; Keisuke Narita; Norihiro Tsuchiya; Yoshiaki Kubota; Toshikazu Hashizume; Kazuomi Kario
Journal:  J Clin Hypertens (Greenwich)       Date:  2020-06-12       Impact factor: 3.738

  9 in total

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