J Am Heart Assoc August 2021 PMID 34369198

Predictive Value of the Cardio-Ankle Vascular Index for Cardiovascular Events in Patients at Cardiovascular Risk.

Toru Miyoshi, Hiroshi Ito, Kohji Shirai, Shigeo Horinaka, Jitsuo Higaki, Shigeo Yamamura, Atsuhito Saiki, Mao Takahashi, Mitsuru Masaki, Takafumi Okura, Kazuhiko Kotani, Takuro Kubozono, Ryo Yoshioka, Hajime Kihara, Koji Hasegawa

Download social card

Mentions

3
Peak: 2 in Aug 2021
across 2 sources since Aug 2021

Extended reach

7,185
potential audience

Total likes

1

Video views

56

Mentions per month

Aug 2021 – Sep 2023

Where it's discussed

  • X / Twitter2 posts
  • YouTube1 videos

AI synopsis

What people are saying

The comments mainly consist of acknowledgments and gratitude from investigators involved in the study, highlighting perceived value of the findings, with words like 'thanks' and 'publishing' conveying respect and interest. The tone is positive and emphasizes recognition, reflecting moderate engagement and perceived impact on the field.

AgreementModerate agreement

Most discussions express support or gratitude for the study, indicating general agreement with its significance.

InterestModerate interest

Posts show moderate interest, as the focus is on appreciation and acknowledgment rather than in-depth analysis.

EngagementModerate engagement

The engagement level is moderate, with users participating through supportive comments, but few delving into detailed implications.

ImpactModerate impact

The shared enthusiasm suggests the study could influence future research or clinical practice, but concrete impacts are not explicitly discussed.

Abstract in brief

  • The study investigates whether the CardioAnkle Vascular Index (CAVI), a blood pressure-independent measure of arterial stiffness, can predict cardiovascular events in patients with risk factors, finding that higher CAVI scores are associated with increased risk of cardiovascular death and stroke.
  • Over a follow-up period of about five years, among nearly 3,000 patients, 82 experienced serious cardiovascular events, and the CAVI was shown to significantly enhance the prediction models when added to existing risk factors.
  • Overall, the research suggests that CAVI is a useful tool for predicting cardiovascular risk, especially for identifying patients at higher risk of death and stroke, and could potentially improve clinical assessments of cardiovascular health.]

Top posts

Most liked on X and Bluesky
Toru Miyoshi
@ToruMiyoshi2 · X

Many thanks to all investigators of CAVI-J for publishing our multicenter cohort study in @JAHA_AHA. Predictive Value of the Cardio‐Ankle Vascular Index for Cardiovascular Events in Patients at Cardiovascular Risk https://t.co/QFbqcbCmiF

Aug 7, 2021 · 1 like · 1 share · 91 followers View post →
Nobu Kagiyama@Heart doctor
@KagiyamaNobu · X

RT @ToruMiyoshi2: Many thanks to all investigators of CAVI-J for publishing our multicenter cohort study in @JAHA_AHA. Predictive Value of…

Aug 7, 2021 · 1 share · 7,035 followers View post →

All mentions

Nobu Kagiyama@Heart doctor
@KagiyamaNobu · X

RT @ToruMiyoshi2: Many thanks to all investigators of CAVI-J for publishing our multicenter cohort study in @JAHA_AHA. Predictive Value of…

Aug 7, 2021 · 1 share · 7,035 followers View post →
Toru Miyoshi
@ToruMiyoshi2 · X

Many thanks to all investigators of CAVI-J for publishing our multicenter cohort study in @JAHA_AHA. Predictive Value of the Cardio‐Ankle Vascular Index for Cardiovascular Events in Patients at Cardiovascular Risk https://t.co/QFbqcbCmiF

Aug 7, 2021 · 1 like · 1 share · 91 followers View post →