Severity of diastolic dysfunction predicts myocardial infarction

Our data demonstrate that the risk of MI is significantly increased in the presence of DD, with higher risk at higher grades of DD. The increased risk associated with grade III DD is comparable to that from a prior history of percutaneous coronary intervention. These findings suggest that the severity of DD may be a useful tool in stratifying patients for risk of MI.

Authors

Institutions

Publication Details

Journal
IJC Heart & Vasculature
Published
2024-10-13
DOI
https://doi.org/10.1016/j.ijcha.2024.101532
Primary Topic
Cardiovascular Function and Risk Factors
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Severity of diastolic dysfunction predicts myocardial infarction

Andrew Voigt, Oscar C. Marroquin, Tanmay Gokhale, Floyd Thoma et al.
IJC Heart & Vasculature
Cardiovascular Function and Risk Factors
article

Severity of diastolic dysfunction predicts myocardial infarction

Andrew Voigt, Oscar C. Marroquin, Tanmay Gokhale, Floyd Thoma, Samir Saba, Krishna Kancharla, Mehak Dhande, Suresh Mulukutla, Aditya Bhonsale, Alaa Shalaby, Sandeep Kumar Jain, N.A. Mark Estes
article en

Abstract

Our data demonstrate that the risk of MI is significantly increased in the presence of DD, with higher risk at higher grades of DD. The increased risk associated with grade III DD is comparable to that from a prior history of percutaneous coronary intervention. These findings suggest that the severity of DD may be a useful tool in stratifying patients for risk of MI.

IJC Heart & VasculatureVol. 55
University of Pittsburgh (US)
National Heart, Lung, and Blood Institute
Openalex Percentile: Top 69%
Cardiovascular Function and Risk Factors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.