Why the study?
Whether small-scale links between obesity, metabolic ill-health, and repolarisation abnormalities occur population-wide, are modulated by genetics, or increase ventricular arrhythmia risk remained unknown.
Does the combination of obesity and metabolic dysfunction increase the risk of QTc prolongation and ventricular arrhythmias in a general population?
Does the combination of obesity and metabolic dysfunction increase the risk of QTc prolongation and ventricular arrhythmias in a general population?
Metabolic dysfunction, with or without obesity, is strongly associated with QTc prolongation and a significantly increased risk of ventricular arrhythmias.
Adiposity-QTc links in UK Biobank appear genetically modulated; leaves open VA risk and causal inference.
Background Small-scale studies have linked obesity (Ob) and metabolic ill-health with proarrhythmic repolarisation abnormalities. Whether these are observed at a population scale, modulated by individuals’ genetics, and confer higher risks of ventricular arrhythmias (VA) are not known. Methods and Results Firstly, using the UK Biobank, the association between adiposity and QTc interval was assessed in participants with a resting 12-lead ECG ( n = 23,683), and a polygenic risk score (PRS) was developed to investigate any modulatory effect of genetics. Participants were also categorised into four phenotypes according to the presence (+) or absence (–) of Ob, and if they were metabolically unhealthy (MU+) or not (MU-). QTc was positively associated with body mass index (BMI), body fat (BF), waist:hip ratio (WHR), and hip and waist girths. Individuals’ genetics had no significant modulatory effect on QTc-prolonging effects of increasing adiposity. QTc interval was comparably longer in those with metabolic perturbation without obesity (Ob-MU+) and obesity alone (Ob+MU-) compared with individuals with neither (Ob-MU-), and their co-existence (Ob+MU+) had an additive effect on QTc interval. Secondly, for 502,536 participants in the UK Biobank, odds ratios ( OR s) for VA were computed for the four clinical phenotypes above using their past medical records. Referenced to Ob-MU-, ORs for VA in Ob-MU+ men and women were 5.96 (95% CI: 4.70–7.55) and 5.10 (95% CI: 3.34–7.80), respectively. ORs for Ob+MU+ were 6.99 (95% CI: 5.72–8.54) and 3.56 (95% CI: 2.66–4.77) in men and women, respectively. Conclusion Adiposity and metabolic perturbation increase QTc to a similar degree, and their co-existence exerts an additive effect. These effects are not modulated by individuals’ genetics. Metabolic ill-health is associated with a higher OR for VA than obesity.
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Patel et al. (2022) studied this question.
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