Evidence map›Paper›PMID 39001217›Full record

ArticleDiagnostics (Basel, Switzerland)2024

Recovery from Severe COVID-19 Is an Independent Predictor of Electrocardiographic Abnormal P-Wave Axis.

Mücahid Yılmaz, Çetin Mirzaoğlu

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Mücahid YılmazDepartment of Cardiology, University of Health Sciences, Elazığ Fethi Sekin City Hospital, 23280 Elazığ, Turkey.ORCID 0000-0003-4292-3172
Çetin MirzaoğluDepartment of Cardiology, University of Health Sciences, Elazığ Fethi Sekin City Hospital, 23280 Elazığ, Turkey.ORCID 0000-0001-5702-1847

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimAbnormal P-wave axis (aPwa) have been correlated with an increased risk of supraventricular arrhythmias. The aim of this study was to analyze whether infection with COVID-19 may cause a predisposition for supraventricular arrhythmia in the long term, following recovery. MATERIALS AND

methodsIn this study, a total of 252 subjects with a confirmed history of COVID-19 (recovered COVID-19) and 251 healthy subjects without a history of COVID-19 were included. The recovered COVID-19 group was divided into three subgroups designated as mild, moderate, and severe according to the severity score of their chest CT. The aPwa data were obtained using 12-lead electrocardiography (ECG) and compared between the healthy subjects and the recovered COVID-19 subgroups.

resultsThis study showed that in the recovered severe COVID-19 subgroup the prevalence of aPwa was significantly increased compared to the controls and the other COVID-19 subgroups. No correlation could be detected in Spearman's Rho correlation between the existence of aPwa and the number of positive PCR tests for COVID-19 and the time elapsed after infection with COVID-19. The binary logistic regression analysis showed that recovery from severe COVID-19, the severity score of the chest CT in the recovered from COVID-19 subjects, and the existence of hypertension (HT) were all independent predictors of aPwa (hazard ratio: 3.542, 95% confidence interval: 1.398-8.969,

conclusionsIndividuals who have recovered from severe COVID-19 have shown an increased prevalence of aPwa. The existence of aPwa was not associated with the number of positive PCR tests for COVID-19 or the time elapsed after infection with COVID-19. Therefore, recovery from severe COVID-19 is an independent predictor of electrocardiographic abnormal P-wave axis.

Indexed as

abnormal P-wave axisrecovery from severe COVİD-19supraventricular arrhythmia

Identifiers

PMID39001217
PMCPMC11240735

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