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Ventricular tachyca...
Ventricular tachycardia risk prediction with an abbreviated duration mobile cardiac telemetry
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- Economou Lundeberg, Johan (författare)
- Lund University,Lunds universitet,Kardiovaskulär forskning - epidemiologi,Forskargrupper vid Lunds universitet,Cardiovascular Research - Epidemiology,Lund University Research Groups,Skåne University Hospital
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- Måneheim, Alexandra (författare)
- Lund University,Lunds universitet,Kardiovaskulär forskning - epidemiologi,Forskargrupper vid Lunds universitet,Cardiovascular Research - Epidemiology,Lund University Research Groups,Skåne University Hospital
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- Persson, Anders (författare)
- Lund University,Lunds universitet,Kardiovaskulär forskning - epidemiologi,Forskargrupper vid Lunds universitet,Cardiovascular Research - Epidemiology,Lund University Research Groups,Skåne University Hospital
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- Dziubinski, Marek (författare)
- University of Washington, Seattle
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- Sridhar, Arun (författare)
- University of Washington, Seattle
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- Healey, Jeffrey S. (författare)
- Population Health Research Institute, Ontario
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Slusarczyk, Magdalena (författare)
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- Engström, Gunnar (författare)
- Lund University,Lunds universitet,Kardiovaskulär forskning - epidemiologi,Forskargrupper vid Lunds universitet,Cardiovascular Research - Epidemiology,Lund University Research Groups
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- Johnson, Linda S. (författare)
- Lund University,Lunds universitet,Kardiovaskulär forskning - epidemiologi,Forskargrupper vid Lunds universitet,Cardiovascular Research - Epidemiology,Lund University Research Groups,Population Health Research Institute, Ontario
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(creator_code:org_t)
- 2023
- 2023
- Engelska 6 s.
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Ingår i: Heart Rhythm O2. - 2666-5018. ; 4:8, s. 500-505
- Relaterad länk:
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http://dx.doi.org/10... (free)
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https://lup.lub.lu.s...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Background: Ventricular tachycardia (VT) occurs intermittently, unpredictably, and has potentially lethal consequences. Objective: Our aim was to derive a risk prediction model for VT episodes ≥10 beats detected on 30-day mobile cardiac telemetry based on the first 24 hours of the recording. Methods: We included patients who were monitored for 2 to 30 days in the United States using full-disclosure mobile cardiac telemetry, without any VT episode ≥10 beats on the first full recording day. An elastic net prediction model was derived for the outcome of VT ≥10 beats on monitoring days 2 to 30. Potential predictors included age, sex, and electrocardiographic data from the first 24 hours: heart rate; premature atrial and ventricular complexes occurring as singlets, couplets, triplets, and runs; and the fastest rate for each event. The population was randomly split into training (70%) and testing (30%) samples. Results: In a population of 19,781 patients (mean age 65.3 ± 17.1 years, 43.5% men), with a median recording time of 18.6 ± 9.6 days, 1510 patients had at least 1 VT ≥10 beats. The prediction model had good discrimination in the testing sample (area under the receiver-operating characteristic curve 0.7584, 95% confidence interval 0.7340–0.7829). A model excluding age and sex had an equally good discrimination (area under the receiver-operating characteristic curve 0.7579, 95% confidence interval 0.7332–0.7825). In the top quintile of the score, more than 1 in 5 patients had a VT ≥10 beats, while the bottom quintile had a 98.2% negative predictive value. Conclusion: Our model can predict risk of VT ≥10 beats in the near term using variables derived from 24-hour electrocardiography, and could be used to triage patients to extended monitoring.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Kardiologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Cardiac and Cardiovascular Systems (hsv//eng)
Nyckelord
- Ambulatory ECG
- Cardiac arrythmia
- Epidemiology
- Mobile cardiac telemetry
- Prediction
- Ventricular tachycardia
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
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