Toshiaki Ohkuma1, Hirofumi Tomiyama2, Toshiharu Ninomiya3, Kazuomi Kario4, Satoshi Hoshide4, Yoshikuni Kita5, Toyoshi Inoguchi6, Yasutaka Maeda7, Katsuhiko Kohara8, Yasuharu Tabara9, Motoyuki Nakamura10, Takayoshi Ohkubo11, Hirotaka Watada12, Masanori Munakata13, Mitsuru Ohishi14, Norihisa Ito15, Michinari Nakamura16, Tetsuo Shoji17, Charalambos Vlachopoulos18, Akira Yamashina2. 1. Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University. 2. Department of Cardiology, Tokyo Medical University. 3. Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University. 4. Division of Cardiovascular Medicine, Department of Medicine, Jichi Medical University School of Medicine. 5. Faculty of Nursing Science, Tsuruga Nursing University. 6. Innovation Center for Medical Redox Navigation, Kyushu University. 7. Department of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University. 8. Department of Regional Resource Management, Faculty of Collaborative Regional Innovation, Ehime University. 9. Center for Genomic Medicine, Kyoto University Graduate School of Medicine. 10. Department of Internal Medicine, Iwate Medical University. 11. Department of Hygiene and Public Health, Teikyo University School of Medicine. 12. Departments of Metabolism & Endocrinology, Juntendo University, Graduate School of Medicine. 13. Research Center for Lifestyle-related Disease, Tohoku Rosai Hospital. 14. Department of Cardiovascular Medicine and Hypertension, Graduate School of Medical and Dental Sciences, Kagoshima University. 15. Department of Geriatric and General Medicine, Osaka University Graduate School of Medicine. 16. Cardiovascular Institute Japan. 17. Department of Vascular Medicine, Osaka City University Graduate School of Medicine. 18. Hypertension and Cardiometabolic Unit, (1st) Department of Cardiology, Athens Medical School, Hippokration Hospital.
Abstract
BACKGROUND: The optimal cutoff values of the brachial-ankle pulse wave velocity (baPWV) for predicting cardiovascular disease (CVD) were examined in patients with hypertension.Methods and Results: A total of 7,656 participants were followed prospectively. The hazard ratio for the development of CVD increased significantly as the baPWV increased, independent of conventional risk factors. The receiver-operating characteristic curve analysis showed that the optimal cutoff values for predicting CVD was 18.3 m/s. This cutoff value significantly predicted THE incidence of CVD. CONCLUSIONS: The present analysis suggests that the optimal cutoff value for CVD in patients with hypertension is 18.3 m/s.
BACKGROUND: The optimal cutoff values of the brachial-ankle pulse wave velocity (baPWV) for predicting cardiovascular disease (CVD) were examined in patients with hypertension.Methods and Results: A total of 7,656 participants were followed prospectively. The hazard ratio for the development of CVD increased significantly as the baPWV increased, independent of conventional risk factors. The receiver-operating characteristic curve analysis showed that the optimal cutoff values for predicting CVD was 18.3 m/s. This cutoff value significantly predicted THE incidence of CVD. CONCLUSIONS: The present analysis suggests that the optimal cutoff value for CVD in patients with hypertension is 18.3 m/s.
Authors: Jose A Maderuelo-Fernandez; Jose I Recio-Rodriguez; Irene A Garcia-Yu; Luis Garcia-Ortiz; Manuel A Gómez-Marcos; Rosario Alonso-Dominguez; Jesus Gonzalez-Sanchez; Sara Mora-Simon; Susana González-Manzano; Emiliano Rodriguez-Sanchez Journal: BMJ Open Date: 2018-12-14 Impact factor: 2.692