Peak left atrial longitudinal strain and incident atrial fibrillation in the general population: a systematic review and meta-analysis

Atrial fibrillation (AF) is the commonest supraventricular arrhythmia in adults. Timely AF diagnosis seems to ameliorate patients prognosis. To investigate the association between peak left atrial longitudinal strain (PALS) and new onset AF in the general population. We searched major electronic databases for articles assessing the relationship between PALS and incident AF. Eight studies (11,145 patients) were analysed. Lower levels of PALS were significantly associated with higher risk of incident AF (HR: 0.95; 95%CI: 0.92–0.97, <i>I</i><sup>2</sup>: 83%). According to the diagnostic accuracy meta-analysis, PALS &lt;33.4% presents 64% (95%CI: 46–79%) sensitivity and 69% (95%CI: 63–75%) specificity. In a relatively healthy population, lower levels of PALS were significantly associated with incident AF. The overall diagnostic accuracy was moderate. Lower levels of PALS seem to justify an opportunistic – rather than a systematic-screening approach. These findings could allow more efficient utilisation of healthcare resources. Screening for atrial fibrillation (AF) is fundamental for timely diagnosis. Impaired peak left atrial longitudinal strain (PALS) is a marker of atrial cardiomyopathy. Meta-analysis revealed that lower PALS levels are associated with increased risk of incident AF, even in the general population. A PALS cut-off of 33% could allow more efficient utilisation of screening resources in this population.

Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.28219168
Primary Topic
Cardiovascular Function and Risk Factors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Peak left atrial longitudinal strain and incident atrial fibrillation in the general population: a systematic review and meta-analysis

Figshare
Cardiovascular Function and Risk Factors
article

Peak left atrial longitudinal strain and incident atrial fibrillation in the general population: a systematic review and meta-analysis

article en

Abstract

Atrial fibrillation (AF) is the commonest supraventricular arrhythmia in adults. Timely AF diagnosis seems to ameliorate patients prognosis. To investigate the association between peak left atrial longitudinal strain (PALS) and new onset AF in the general population. We searched major electronic databases for articles assessing the relationship between PALS and incident AF. Eight studies (11,145 patients) were analysed. Lower levels of PALS were significantly associated with higher risk of incident AF (HR: 0.95; 95%CI: 0.92–0.97, <i>I</i><sup>2</sup>: 83%). According to the diagnostic accuracy meta-analysis, PALS &lt;33.4% presents 64% (95%CI: 46–79%) sensitivity and 69% (95%CI: 63–75%) specificity. In a relatively healthy population, lower levels of PALS were significantly associated with incident AF. The overall diagnostic accuracy was moderate. Lower levels of PALS seem to justify an opportunistic – rather than a systematic-screening approach. These findings could allow more efficient utilisation of healthcare resources. Screening for atrial fibrillation (AF) is fundamental for timely diagnosis. Impaired peak left atrial longitudinal strain (PALS) is a marker of atrial cardiomyopathy. Meta-analysis revealed that lower PALS levels are associated with increased risk of incident AF, even in the general population. A PALS cut-off of 33% could allow more efficient utilisation of screening resources in this population.

Figshare
Openalex Percentile: Top 41%
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.