Key result
The ECG-derived descriptors θδ and TSA moderately correlated with changes in serum potassium levels (r = -0.56 and r = -0.57, respectively) during the long interdialytic interval in hemodialysis patients.
Why the study?
Hemodialysis patients face life-threatening arrhythmias driven by electrolyte fluctuations during the long interdialytic interval, making noninvasive monitoring of potassium desirable to enable intervention before arrhythmia onset.
Does continuous single-lead ECG monitoring accurately reflect potassium fluctuations in hemodialysis patients during the long interdialytic interval?
Observational (n=15)
No
Does continuous single-lead ECG monitoring accurately reflect potassium fluctuations in hemodialysis patients during the long interdialytic interval?
Continuous single-lead ECG monitoring of T-wave morphology shows moderate correlation with potassium fluctuations during the long interdialytic interval in hemodialysis patients, demonstrating feasibility for noninvasive monitoring.
Hemodialysis patients are susceptible to life-threatening arrhythmias whose incidence is markedly higher during the long interdialytic interval due to electrolyte fluctuations. Noninvasive monitoring of electrolyte fluctuations, particularly those of potassium, would enable restoring electrolyte balance before the onset of arrhythmias. This study investigates the feasibility of continuous long-term monitoring of potassium fluctuations using a single-lead electrocardiogram. We evaluate patient-specific T-wave morphology changes in the electrocardiogram using two descriptors: 1) a model-based descriptor, θ8, developed to account for overall morphology changes, and 2) the currently available descriptor, TSA, sensitive to potassium levels in single-lead electrocardiograms. Electrocardiograms of 15 hemodialysis patients with pre-existent cardiac diseases were acquired continuously over the long interdialytic interval along with blood samples at predetermined time instants. Results reveal that θ8and TSArespond concordantly with potassium levels, and reacts to potassium lowering medication. The overlapping index of the daily distributions of θ8and TSAare moderately correlated with changes in potassium levels (r = -0.56 and r = -0.57, respectively). θ8exhibits circadian variation, peaking amidst morning and decreasing until evening. θ8appears to be less affected by motion-induced noise, which is preferable for ambulatory monitoring. Although long-term monitoring of potassium fluctuations is feasible even in complicated hemodialysis patients, the presence of concomitant electrolyte (calcium and bicarbonate) imbalances should be accounted for since it can hamper a reliable estimation. Considering that intradialytic T-wave morphologies may differ from the ones manifested between hemodialysis sessions, future studies should also strive to collect blood samples outside of hemodialysis to improve electrolyte estimation methods.
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Rodrigues et al. (2020) conducted an observational in Hemodialysis patients with pre-existent cardiac diseases (n=15). Single-lead ECG descriptors (θδ and TSA) vs. Serum potassium levels was evaluated on Correlation between overlapping index of daily distributions of ECG descriptors and changes in potassium levels (r = -0.56, p=<0.01). The ECG-derived descriptors θδ and TSA moderately correlated with changes in serum potassium levels (r = -0.56 and r = -0.57, respectively) during the long interdialytic interval in hemodialysis patients.
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