Abstract
A variety of potential triggers of atrial fibrillation (AF) have been reported, including alcohol consumption, caffeine, exercise, and stress. Vagal AF triggers include gastrointestinal factors such as the amount of food consumed, types of foods, and gas and bloating. In this case report, detailed data of seven dietary and behavioral factors (many vagal) believed to be possible atrial tachycardia (AT) or AF triggers in a single patient with paroxysmal AT/AF were recorded. Episodes of AT and AF were recorded in the patient using a Medtronic loop recorder and analyzed by a cardiac electrophysiologist. To evaluate these potential triggers of AT/AF events, a general linear model with binomial family error distribution was used to fit the data. Then, a stepAIC function from the MASS package in R was used to perform a stepwise model selection using AIC (Akaike information criterion). The analysis only identified the amount of salt intake and the use of polyethylene glycol 3350 as predictors of AT/AF, and high salt intake was the only factor significantly associated with the onset of AT/AF (P < 0.05). Thus, salt intake may trigger AT/AF in ways other than via hypertension.
Keywords: stretch-induced arrhythmias, salt, triggers, atrial tachycardia, atrial fibrillation
Introduction
In a recent article by Marcus et al., various triggers of paroxysmal atrial fibrillation (AF) were evaluated, including caffeine, reduced sleep, exercise, alcohol, lying on the left side, large meals, and consumption of cold food/drink [1]. Interestingly, in that study, the only trigger significantly heightening the risk of AF events was alcohol. In the vaguely defined condition termed vagal AF, gastrointestinal triggers are often reported, including amount of food consumed, types of foods, and gas and bloating [2-3], but these may be anecdotal or poorly supported by evidence. There is some scientific evidence that episodes of atrial tachycardia (AT) can trigger AF [4-7]. Brugada et al. reported that fast atrial rates can trigger AF, and patients with documented or clinically suspected paroxysmal atrial or atrioventricular reentrant tachycardias can occasionally present with AF [6]. To further explore possible triggers for AT and AF, we analyzed behavioral and dietary factors in a patient with paroxysmal AT/AF over a six-month period.
Case presentation
The first author of this report (JG) has a 10-yr history of symptomatic paroxysmal AF, almost always preceded by easily detectable 5-10 sec duration AT, serving as precursors to these AF episodes. Confirmation of AT/AF episodes was made by marking them with the wand of a Medtronic Loop Recorder (Dublin, Ireland) and subsequent analysis by the third author (MB). From May 21, 2020, through November 18, 2020 (six months), the author kept detailed daily records of seven dietary and behavioral factors (many vagal) believed to be possible AT/AF triggers (Table 1).
Table 1. Dietary and behavioral factors evaluated as possible triggers of atrial tachycardia (AT) and atrial fibrillation (AF).
Results of the stepAIC function using the model: glm (h~a+b+c+d+e+f+g, family="binomial," h being the dependent variable – episodes of AT/AF)
11350 mg (1), 700 mg (2), 1050 mg (3), 1400 mg (4),2 1750 mg (5), 2100 mg (6), 2450 mg (7), and >2800 mg (8).
2The American Heart Association recommends an ideal limit of 1500 mg sodium per day for most adults.
*Significant at the p<.05 level.
Predictor Variables | Dependent Variable: Episodes of AT/AF | |||||||
Full Model | Final Model | |||||||
Estimate | Std Error | Estimate | Std Error | Z Value | Pr (>[Z]) | |||
Salt 1,2 | -0.883 | -0.377 | -0.755 | -0.35 | -2.14 | 0.0328* | ||
Assessed on a scale 1-8 (8 max) | ||||||||
Stress | -0.353 | -0.481 | --- | --- | --- | --- | ||
Assessed on a scale 1-10 (10 max) | ||||||||
Statin use | -0.49 | -0.823 | --- | --- | --- | --- | ||
Daily simvastatin 40 mg, yes or no | ||||||||
Gas | 0.456 | -0.323 | --- | --- | --- | --- | ||
Assessed on a scale 1-10 (10 max) | ||||||||
Polyethylene glycol 3350 | 1.21 | -0.835 | 1.158 | -0.82 | 1.417 | 0.156 | ||
Osmotic laxative, as needed yes or no | ||||||||
V8® vegetable juice (8 oz) | -1.292 | -1.307 | --- | --- | --- | --- | ||
Daily as a source of potassium yes or no | ||||||||
Constipation | 0.359 | -0.335 | --- | --- | --- | --- | ||
Assessed on a scale 1-10 (10 max) | ||||||||
Intercept | 0.703 | -2.906 | -0.516 | -1.606 | -0.321 | 0.7481 | ||
Observations | 181 | 181 | ||||||
Log likelihood | -32.205 | -34.651 | ||||||
Akaike Inf. Crit. | 80.41 | 75.302 |
The patient does not have hypertension, and during the six-month period, no changes were made in the patient’s treatment for AF - 150 mg propafenone bid. To evaluate these potential triggers of AT/AF events, the data were blinded and given to a statistician (second author) for analysis using a general linear model with binomial family error distribution to fit the data. We then used the stepAIC function from the MASS package in R (Venables, W. N. & Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth Edition. Springer, New York) to perform a stepwise model selection using AIC (Akaike information criterion) [8]. The stepAIC function starts with a full (or null) model and uses stepwise regression as a search method for feature selection, minimizing the AIC value and ending with a final set of features.
The stepAIC function analysis only identified the amount of salt intake and the use (or not) of polyethylene glycol 3350 as predictors of AF precursors. On eight out of the 10 days the patient experienced an AT/AF, he had taken polyethylene glycol 3350; and on seven of those days, he had consumed more salt than usual (greater than 4 on a scale of 8, see Table 1 for values). Only high salt intake was significantly associated with the onset of AT/AF (p < 0.05).
Discussion
In this blinded study, only sodium intake was statistically significant (p<0.0328) as a trigger for AT/AF. Interestingly, our analysis showed that emotional stress in this patient was not significantly associated with AT/AF, a finding consistent with vagal AF. These data suggest that salt should be considered a trigger for AT/AF, and therefore its intake limited to reduce or mitigate episodes of paroxysmal AF. The negative side effects of salt on cardiac disease are debatable; however, high sodium concentrations may stiffen endothelial cells, perhaps leading to inflammation and vascular remodeling [9]. The mechanical environment of the heart is physiologically dynamic, which inherently affects its activity. We propose that the mechanism for salt as an AT/AF trigger is sodium mediating the mechano-electrical transduction processes underlying the genesis of stretch-induced arrhythmias [10]. Excessive salt could cause stretch-activated channels to fire and trigger AT/AF by altering the length and/or tension of cardiac tissues [10-11]. Levi et al. reported that a rise of intracellular sodium concentration results in an increase of intracellular calcium via the important and influential sodium/calcium exchange mechanism in the cell membrane of cardiac muscle cells [12]. A rise of intracellular calcium modulates the activity of a number of sarcolemmal ion channels and affects the release of intracellular calcium from the sarcoplasmic reticulum, all of which may be involved in causing arrhythmias. Further, Levi et al., in experiments using working rat heart preparations, found that a rise in sodium might also lead to wall-stress-induced arrhythmias [12].
Conclusions
Excessive sodium from salt and other sources causes fluid retention, and in some people, hypertension, which is a known risk factor for AF. However, salt intake may trigger AT or AF in ways other than via hypertension, such as by increasing intracellular calcium levels through the sodium/calcium exchange mechanism in cardiac tissue, which then affects the release of intracellular calcium from the sarcoplasmic reticulum, leading to arrhythmias. Further, sodium affects the mechano-electrical environment of the heart, possibly causing stretch-induced arrhythmias due to changes in cell length or tension. Controlled studies with multiple patients are needed to ascertain the role of salt as a trigger for paroxysmal AT/AF.
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The authors have declared that no competing interests exist.
Human Ethics
Consent was obtained or waived by all participants in this study
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