Individuals Recovered from Severe COVID-19 are Predispose to Develop Atrial Fibrillation

Blunted atrial HRT, considered a significant predisposition to the development of atrial fibrillation, is more likely to occur in people who recovered from serious COVID-19 than in individuals who have never had severe COVID-19. These individuals should be carefully evaluated for atrial HRT.

Authors

Institutions

Publication Details

Journal
International Journal of General Medicine
Published
2025-08-01
DOI
https://doi.org/10.2147/ijgm.s527058
Citations
2
Primary Topic
Long-Term Effects of COVID-19
Type
article
Field-Weighted Citation Impact
2.78
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Individuals Recovered from Severe COVID-19 are Predispose to Develop Atrial Fibrillation

Mücahid Yılmaz, Çetin Mirzaoğlu
2 citations
International Journal of General Medicine
Long-Term Effects of COVID-19
2.78
article

Individuals Recovered from Severe COVID-19 are Predispose to Develop Atrial Fibrillation

Mücahid Yılmaz, Çetin Mirzaoğlu
article en
2 citations

Abstract

Blunted atrial HRT, considered a significant predisposition to the development of atrial fibrillation, is more likely to occur in people who recovered from serious COVID-19 than in individuals who have never had severe COVID-19. These individuals should be carefully evaluated for atrial HRT.

International Journal of General MedicineVol. Volume 18
Sağlık Bilimleri Üniversitesi (TR), University of Health Sciences Antigua (AG)
Zero hunger
Openalex Percentile: Top 9%
Long-Term Effects of COVID-19
2.78
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.