Metadata about: BACKGROUND: QT interval monitoring has gained much interest during the COVID-19 pandemic given the use of QT-prolonging medications and the concern about viral transmission with serial ECGs. We hypothesized that continuous telemetry- based QT monitoring is associated with better detection of prolonged QT episodes. METHODS: We introduced Continuous Cardiac Telemetry (CCT) with an algorithm for automated QT interval monitoring to our designated COVID-19 units. The daily maximum automated heart-rate corrected QT (Auto-QTc) measurements were recorded. We compared the proportion of marked QTc prolongation episodes (Long-QTc), defined as QTc > 500 ms, in patients with suspected or confirmed COVID-19 who were admitted before and after CCT was implemented (control group vs CCT group, respectively). Manual QTc measurement by electrophysiologists (EP-QTc) was used to verify Auto-QTc. Charts were reviewed to describe the clinical response to Long-QTc episodes. RESULTS: We included 33 consecutive patients (total of 451 monitoring days). Long-QTc episodes were detected more frequently in the CCT group [69/206 (34%) vs 26/245 (11%), P < 0.0001] and ECGs were performed less frequently [32/206 (16%) vs 78/245 (32%), P < 0.0001]. Auto-QTc correlated well with EP-QTc with an excellent agreement in detecting Long-QTc (Kappa=0.8, P<0.008). Only 28% of Long-QTc episodes were treated with recommended therapies. There was one episode of Torsade de Pointes (TdP) in the control group and none in the CCT group. CONCLUSION: Continuous QT interval monitoring is superior to standard of care in detecting episodes of Long-QTc with minimal need for ECGs. The clinical response to Long-QTc episodes is suboptimal.

About: BACKGROUND: QT interval monitoring has gained much interest during the COVID-19 pandemic given the use of QT-prolonging medications and the concern about viral transmission with serial ECGs. We hypothesized that continuous telemetry- based QT monitoring is associated with better detection of prolonged QT episodes. METHODS: We introduced Continuous Cardiac Telemetry (CCT) with an algorithm for automated QT interval monitoring to our designated COVID-19 units. The daily maximum automated heart-rate corrected QT (Auto-QTc) measurements were recorded. We compared the proportion of marked QTc prolongation episodes (Long-QTc), defined as QTc > 500 ms, in patients with suspected or confirmed COVID-19 who were admitted before and after CCT was implemented (control group vs CCT group, respectively). Manual QTc measurement by electrophysiologists (EP-QTc) was used to verify Auto-QTc. Charts were reviewed to describe the clinical response to Long-QTc episodes. RESULTS: We included 33 consecutive patients (total of 451 monitoring days). Long-QTc episodes were detected more frequently in the CCT group [69/206 (34%) vs 26/245 (11%), P < 0.0001] and ECGs were performed less frequently [32/206 (16%) vs 78/245 (32%), P < 0.0001]. Auto-QTc correlated well with EP-QTc with an excellent agreement in detecting Long-QTc (Kappa=0.8, P<0.008). Only 28% of Long-QTc episodes were treated with recommended therapies. There was one episode of Torsade de Pointes (TdP) in the control group and none in the CCT group. CONCLUSION: Continuous QT interval monitoring is superior to standard of care in detecting episodes of Long-QTc with minimal need for ECGs. The clinical response to Long-QTc episodes is suboptimal.

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