Cardiovascular risk prediction with cardio-ankle vascular index in the malaysian cohort study

Abdullah N 1 , Blin JA 2 , Kamalul Arifin AS 3 , Abd Jalal N 4 , Ismail N 5 , Mohd Yusof NA 6 Show all authors , Abdullah MS 7 , Husin NF 8 , Dauni A 9 , Kamaruddin MA 10 , Mohammed Nawi A 11 , Ahmad N 12 , Hassan MR 13 , Jamal R 14

Affiliations 

  • 1 UKM Medical Molecular Biology Institute (UMBI), Kuala Lumpur 56000, Malaysia. Electronic address: noraidatulakma.abdullah@ppukm.ukm.edu.my
  • 2 UKM Medical Molecular Biology Institute (UMBI), Kuala Lumpur 56000, Malaysia. Electronic address: joanblin@ukm.edu.my
  • 3 UKM Medical Molecular Biology Institute (UMBI), Kuala Lumpur 56000, Malaysia. Electronic address: azwashawani@ukm.edu.my
  • 4 UKM Medical Molecular Biology Institute (UMBI), Kuala Lumpur 56000, Malaysia. Electronic address: nazihah.aj@ukm.edu.my
  • 5 UKM Medical Molecular Biology Institute (UMBI), Kuala Lumpur 56000, Malaysia. Electronic address: norliza.ismail@ukm.edu.my
  • 6 UKM Medical Molecular Biology Institute (UMBI), Kuala Lumpur 56000, Malaysia. Electronic address: ainmdy@ukm.edu.my
  • 7 UKM Medical Molecular Biology Institute (UMBI), Kuala Lumpur 56000, Malaysia. Electronic address: mohd.shaharom.abdullah@ppukm.ukm.edu.my
  • 8 UKM Medical Molecular Biology Institute (UMBI), Kuala Lumpur 56000, Malaysia. Electronic address: nurulfaeizah@ukm.edu.my
  • 9 UKM Medical Molecular Biology Institute (UMBI), Kuala Lumpur 56000, Malaysia. Electronic address: andri@ppukm.ukm.edu.my
  • 10 UKM Medical Molecular Biology Institute (UMBI), Kuala Lumpur 56000, Malaysia. Electronic address: arman@ppukm.ukm.edu.my
  • 11 Department of Public Health Medicine, Faculty of Medicine, UKM, Kuala Lumpur 56000, Malaysia. Electronic address: azmawati@ppukm.ukm.edu.my
  • 12 Department of Public Health Medicine, Faculty of Medicine, UKM, Kuala Lumpur 56000, Malaysia. Electronic address: norfazilah@ppukm.ukm.edu.my
  • 13 Department of Public Health Medicine, Faculty of Medicine, UKM, Kuala Lumpur 56000, Malaysia. Electronic address: rohaizat@ppukm.ukm.edu.my
  • 14 UKM Medical Molecular Biology Institute (UMBI), Kuala Lumpur 56000, Malaysia. Electronic address: rahmanj@ppukm.ukm.edu.my
Curr Probl Cardiol, 2024 Mar;49(3):102192.
PMID: 37952789 DOI: 10.1016/j.cpcardiol.2023.102192

Abstract

The cardio-ankle vascular index (CAVI) is an important parameter assessing arterial function. It reflects arterial stiffness from the origin of the aorta to the ankle, and the algorithm is blood pressure independent. Recent data have suggested that a high CAVI score can predict future cardiovascular disease (CVD) events; however, to date, no study has been done in Malaysia. We conducted a prospective study on 2,168 The Malaysian Cohort (TMC) CVD-free participants (971 men and 1,197 women; mean age 51.64 ± 8.38 years old) recruited from November 2011 to March 2012. This participants were followed-up until the emergence of CVD incidence and mortality (endpoint between May to September 2019; duration of 7.5 years). Eligible participants were assessed based on CAVI baseline measurement which categorised them into low (CAVI <9.0) and high (CAVI ≥ 9.0) scores. The CVD events in the group with high CAVI (6.5 %) were significantly higher than in the low CAVI (2.6 %) group (p 

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

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