Key result
Remote telemetry QTc highly correlates with ECG and detects ~15 ms increases during targeted COVID-19 therapy.
Why the study?
Using remote cardiac telemetry instead of 12-lead ECG for continuous QTc monitoring could minimize direct patient contact during COVID-19, but had not been validated or implemented.
Does remote cardiac telemetry accurately measure QTc intervals compared to 12-lead ECG in hospitalized patients?
Cohort (n=133)
Blinded operators
Does remote cardiac telemetry accurately measure QTc intervals compared to 12-lead ECG in hospitalized patients?
Remote cardiac telemetry provides accurate QTc measurements compared to 12-lead ECG, offering a valid 'no-touch' monitoring strategy to reduce healthcare worker exposure during the COVID-19 pandemic.
Remote telemetry may support QTc monitoring to limit exposure in COVID-19; leaves open need for prospective validation.
BACKGROUND: Minimizing direct patient contact among healthcare personnel is crucial for mitigating infectious risk during the coronavirus disease 2019 (COVID-19) pandemic. The use of remote cardiac telemetry as an alternative to 12‑lead electrocardiography (ECG) for continuous QTc monitoring may facilitate this strategy, but its application has not yet been validated or implemented. METHODS: In the validation component of this two-part prospective cohort study, a total of 65 hospitalized patients with simultaneous ECG and telemetry were identified. QTc obtained via remote telemetry as measured by 3 independent, blinded operators were compared with ECG as assessed by 2 board-certified electrophysiologists as the gold-standard. Pearson correlation coefficients were calculated to measure the strength of linear correlation between the two methods. In a separate cohort comprised of 68 COVID-19 patients treated with combined hydroxychloroquine and azithromycin, telemetry-based QTc values were compared at serial time points after medication administration using Friedman rank-sum test of repeated measures. RESULTS: Telemetry-based QTc measurements highly correlated with QTc values derived from ECG, with correlation coefficients of 0.74, 0.79, 0.85 (individual operators), and 0.84 (mean of all operators). Among the COVID-19 cohort, treatment led to a median QTc increase of 15 milliseconds between baseline and following the 9th dose (p = 0.002), with 8 (12%) patients exhibiting an increase in QTc ≥ 60 milliseconds and 4 (6%) developing QTc ≥ 500 milliseconds. CONCLUSIONS: Cardiac telemetry is a validated clinical tool for QTc monitoring that may serve an expanding role during the COVID-19 pandemic strengthened by its remote and continuous monitoring capability and ubiquitous presence throughout hospitals.
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Kassis et al. (2021) conducted a cohort in COVID-19 (n=133). Remote cardiac telemetry vs. 12-lead electrocardiography (ECG) was evaluated on Correlation between telemetry-based QTc and ECG-derived QTc (r 0.84). Remote cardiac telemetry QTc measurements highly correlated with 12-lead ECG (mean r=0.84) and detected a median QTc increase of 15 ms in COVID-19 patients receiving targeted therapy (p=0.002).
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