Evidence map›Paper›PMID 35350539›Full record

ArticleFrontiers in cardiovascular medicine2022

Echocardiographic Parameters to Predict Atrial Fibrillation in Clinical Routine-The EAHsy-AF Risk Score.

Jan-Thorben Sieweke, Jan Hagemus, Saskia Biber, Dominik Berliner, Gerrit M Grosse, Sven Schallhorn, Tobias Jonathan Pfeffer, Anselm A Derda, Jonas Neuser, Johann Bauersachs and 1 more

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Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.1field-weighted citation impact, top 12% of its field
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

7 citing papers in PubMed, 13 citations in OpenAlex.

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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

11 authors at 1 institution in 1 country.

Jan-Thorben SiewekeDepartment of Cardiology and Angiology, Hannover Medical School, Hannover, Germany.
Jan HagemusDepartment of Cardiology and Angiology, Hannover Medical School, Hannover, Germany.
Saskia BiberDepartment of Cardiology and Angiology, Hannover Medical School, Hannover, Germany.
Dominik BerlinerDepartment of Cardiology and Angiology, Hannover Medical School, Hannover, Germany.
Gerrit M GrosseDepartment of Neurology, Hannover Medical School, Hannover, Germany.
Sven SchallhornDepartment of Cardiology and Angiology, Hannover Medical School, Hannover, Germany.
Tobias Jonathan PfefferDepartment of Cardiology and Angiology, Hannover Medical School, Hannover, Germany.
Anselm A DerdaDepartment of Cardiology and Angiology, Hannover Medical School, Hannover, Germany.
Jonas NeuserDepartment of Cardiology and Angiology, Hannover Medical School, Hannover, Germany.
Johann BauersachsDepartment of Cardiology and Angiology, Hannover Medical School, Hannover, Germany.
Udo BavendiekDepartment of Cardiology and Angiology, Hannover Medical School, Hannover, Germany.
Medizinische Hochschule Hannover · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Echocardiographic parameters representing impaired left atrial (LA) function and remodeling are of high value to predict atrial fibrillation (AF). This study aimed to develop a prediction model for AF easily to apply in clinical routine containing echocardiographic parameters associated with LA remodeling and-function. Methods and Results: This monocentric, semi-blinded, controlled analysis included 235 patients to derive a prediction model. This prediction model was tested in a validation cohort encompassing 290 cardiovascular inpatients. The derivation and validation cohort included 54 (23%) and 66 (23%) patients with AF, respectively. Transthoracic echocardiography, comprising parameters indicating left atrial remodeling [septal/lateral total atrial conduction time (s/l PA-TDI)] and left atrial volume indexed to a' (LAVI/a') was performed in each patient. Based on multivariable regressions analysis, four variables were enclosed into the EAHsy (Echocardiography, Age, Hypertension)-AF risk score for AF prediction: Hypertension, Age, LAVI/a' and septal PA-TDI. In the validation cohort discrimination was strong (C-statistic 0.987, 95%CI 0.974-0.991) with an adequately performed calibration. The EAHsy-AF risk score was associated with a more precise prediction of AF in comparison to commonly used AF-scores (CHADS Conclusion: The EAHsy-AF-Score containing age, hypertension and echocardiographic parameters of atrial dysfunction and remodeling precisely predicts the incidence of AF in a general population of patients with cardiovascular disease. The EAHsy-AF risk score may enable more selective rhythm monitoring in specific patients at high risk for AF.

Indexed as

atrial fibrillationatrial remodeling atrial fibrillationechocardiographyPA-TDI intervalpredictionscore

Identifiers

PMID35350539
PMCPMC8957789
OpenAlexW4220665156

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