Unknown

Dataset Information

0

Serum magnesium and burden of atrial and ventricular arrhythmias: The Atherosclerosis Risk in Communities (ARIC) Study.


ABSTRACT:

Introduction

Low serum magnesium (Mg) is associated with an increased incidence of atrial and ventricular arrhythmias. A richer phenotyping of arrhythmia indices, such as burden or frequency, may provide etiologic insights.

Objectives

To evaluate cross-sectional associations of serum Mg with burden of atrial arrhythmias [atrial fibrillation (AF), premature atrial contractions (PAC), supraventricular tachycardia (SVT)], and ventricular arrhythmias [premature ventricular contractions (PVC), non-sustained ventricular tachycardia (NSVT)] over 2-weeks of ECG monitoring.

Methods

We included 2513 ARIC Study visit 6 (2016-2017) participants who wore the Zio XT Patch-a leadless, ambulatory ECG-monitor-for up to 2-weeks. Serum Mg was modeled categorically and continuously. AF burden was categorized as intermittent or continuous based on the percent of analyzable time spent in AF. Other arrhythmia burdens were defined by the average number of abnormal beats per day. Linear regression was used for continuous outcomes; logistic and multinomial regression were used for categorical outcomes.

Results

Participants were mean ± SD age 79 ± 5 years, 58% were women and 25% black. Mean serum Mg was 0.82 ± 0.08 mmol/L and 19% had hypomagnesemia (<0.75 mmol/L). Serum Mg was inversely associated with PVC burden and continuous AF. The AF association was no longer statistically significant with further adjustment for traditional lifestyle risk factors, only the association with PVC burden remained significant. There were no associations between serum Mg and other arrhythmias examined.

Conclusions

In this community-based cohort of older adults, we found little evidence of independent cross-sectional associations between serum Mg and arrhythmia burden.

SUBMITTER: Rooney MR 

PROVIDER: S-EPMC7665977 | biostudies-literature |

REPOSITORIES: biostudies-literature

Similar Datasets

| S-EPMC4228988 | biostudies-literature
| S-EPMC4135486 | biostudies-literature
| S-EPMC3632319 | biostudies-literature
| PRJNA75713 | ENA
| S-EPMC5673118 | biostudies-literature
| S-EPMC7736503 | biostudies-literature
| S-EPMC4333077 | biostudies-literature
| S-EPMC6538393 | biostudies-literature
| S-EPMC6053683 | biostudies-literature
| S-EPMC6233815 | biostudies-literature