2019
DOI: 10.1016/j.jacc.2019.03.519
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Effects of Calcium, Magnesium, and Potassium Concentrations on Ventricular Repolarization in Unselected Individuals

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Cited by 29 publications
(38 citation statements)
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“…Blood levels of electrolytes such as potassium and calcium have been shown to affect QT duration in healthy people, and these findings have been extended to the hemodialysis patients [ 7 , 13 - 17 ]. Specifically, the percentage reduction in serum potassium was significantly higher in patients with a post-dialysis increase in QTc interval duration as compared to those with a post-dialysis decrease in QTc [ 6 ].…”
Section: Discussionmentioning
confidence: 99%
“…Blood levels of electrolytes such as potassium and calcium have been shown to affect QT duration in healthy people, and these findings have been extended to the hemodialysis patients [ 7 , 13 - 17 ]. Specifically, the percentage reduction in serum potassium was significantly higher in patients with a post-dialysis increase in QTc interval duration as compared to those with a post-dialysis decrease in QTc [ 6 ].…”
Section: Discussionmentioning
confidence: 99%
“…Cross-sectional AMV was performed by each of the individual cohorts according to a pre-specified analysis plan and standardized analysis script. Results were collected centrally for quality control subsequent fixed-effect meta-analyses using the R “rmeta” package, using similar procedures as described previously 38 . AMV analyses adjusted for age, sex and BMI.…”
Section: Methodsmentioning
confidence: 99%
“…In summary, our big-data based results are not immediately applicable to clinical practice [2,7]. Nevertheless, our efforts do offer new and interesting insights which warrant further study.…”
mentioning
confidence: 98%
“…Testing for associations in population-based samples can be affected by different biases (e.g., selection bias, recall bias) and (residual) confounding (e.g., factors reflecting the health status of an individual). To partly overcome these limitations and to identify consistent and robust associations across populations taking into account the most important confounders, we recently published a large-scale collaborative effort (>30 cohorts; >150,000 individuals) examining the associations between the main blood electrolyte concentrations with changes on the electrocardiogram [2].…”
mentioning
confidence: 99%
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