Evidence map›Paper›PMID 39911610›Full record

ArticleInternational journal of cardiology. Heart & vasculature2024

Severity of diastolic dysfunction predicts myocardial infarction.

Tanmay A Gokhale, Mehak Dhande, Suresh Mulukutla, Oscar C Marroquin, Floyd Thoma, Aditya Bhonsale, Krishna Kancharla, Andrew Voigt, Alaa A Shalaby, N A Mark Estes and 2 more

Abstract read
In one paragraph

Article in International journal of cardiology. Heart & vasculature, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Tanmay A GokhaleFrom the Heart and Vascular Institute and the Department of Medicine at the University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Mehak DhandeFrom the Heart and Vascular Institute and the Department of Medicine at the University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Suresh MulukutlaFrom the Heart and Vascular Institute and the Department of Medicine at the University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Oscar C MarroquinFrom the Heart and Vascular Institute and the Department of Medicine at the University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Floyd ThomaFrom the Heart and Vascular Institute and the Department of Medicine at the University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Aditya BhonsaleFrom the Heart and Vascular Institute and the Department of Medicine at the University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Krishna KancharlaFrom the Heart and Vascular Institute and the Department of Medicine at the University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Andrew VoigtFrom the Heart and Vascular Institute and the Department of Medicine at the University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Alaa A ShalabyFrom the Heart and Vascular Institute and the Department of Medicine at the University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
N A Mark EstesFrom the Heart and Vascular Institute and the Department of Medicine at the University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Sandeep K JainFrom the Heart and Vascular Institute and the Department of Medicine at the University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Samir SabaFrom the Heart and Vascular Institute and the Department of Medicine at the University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.

Funding

Training Program in Imaging Sciences in Translational Cardiovascular ResearchT32HL129964 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Flordeliza S Villanueva · 2016 to 2026
$4.7M
NHLBI NIH HHS T32 HL129964
6 · The paper itself

Abstract

Background: Diastolic dysfunction (DD) is known to be a predictor of mortality. However, the impact of DD on the risk for myocardial infarction (MI) is not well defined. We sought to examine whether DD is an independent predictor of risk of MI in patients with a preserved ejection fraction. Methods: This was an observational study of consecutive patients who underwent an echocardiogram that showed normal systolic function and had ≥ 3 months of follow-up. DD was graded using the contemporaneous guidelines at the time of the echocardiogram. Subsequent MI was determined by an inpatient encounter with a primary diagnosis of MI. Results: 129,476 patients were included (mean age 56 years; 58 % women). DD was present in 17.6 % of patients (13.6 % Grade I, 3.6 % Grade II, 0.4 % Grade III). Patients with DD were more likely to be older and have cardiovascular comorbidities. Survival free from MI was significantly lower as DD severity increased. Multivariate Cox proportional hazards modeling demonstrated that DD was an independent predictor of MI (hazard ratios [CI]: Grade I: 1.48 [1.33-1.66]; Grade II: 1.84 [1.57-2.16]; Grade III: 2.90 [1.98-4.25]). Conclusion: 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.

Indexed as

DeathDiastolic dysfunctionDiastologyEjection fractionMyocardial infarction

Identifiers

PMID39911610
PMCPMC11795677

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.