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Erschienen in: Journal of Clinical Monitoring and Computing 4/2016

14.07.2015 | Original Research

The prevalence of long QT interval in post-operative intensive care unit patients

verfasst von: Julius Cuong Pham, Michael C. Banks, David L. Narotsky, Todd Dorman, Bradford D. Winters

Erschienen in: Journal of Clinical Monitoring and Computing | Ausgabe 4/2016

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Abstract

The severity of patient illnesses and medication complexity in post-operative critically ill patients increase the risk for a prolonged QT interval. We determined the prevalence of prolonged QTc in surgical intensive care unit (SICU) patients. We performed a prospective cross-sectional study over a 15-month period at a major academic center. SICU pre-admission and admission EKGs, patient demographics, and laboratory values were analyzed. QTc was evaluated as both a continuous and dichotomous outcome (prolonged QTc > 440 ms). 281 patients were included in the study: 92 % (n = 257) post-operative and 8 % (n = 24) non-operative. On pre-admission EKGs, 32 % of the post-operative group and 42 % of the non-operative group had prolonged QTc (p = 0.25); on post-admission EKGs, 67 % of the post-operative group but only 33 % of the non-operative group had prolonged QTc (p < 0.01). The average change in QTc in the post-operative group was +30.7 ms, as compared to +2 ms in the non-operative group (p < 0.01). On multivariable adjustment for long QTc as a dichotomous outcome, pre-admission prolonged QTc (OR 3.93, CI 1.93–8.00) and having had an operative procedure (OR 4.04, CI 1.67–9.83) were associated with developing prolonged QTc. For QTc as a continuous outcome, intra-operative beta-blocker use was associated with a statistically-significant decrease in QTc duration. None of the patients developed a lethal arrhythmia in the ICU. Prolonged QTc is common among post-operative SICU patients (67 %), however lethal arrhythmias are uncommon. The operative experience increases the risk for long QTc.
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Metadaten
Titel
The prevalence of long QT interval in post-operative intensive care unit patients
verfasst von
Julius Cuong Pham
Michael C. Banks
David L. Narotsky
Todd Dorman
Bradford D. Winters
Publikationsdatum
14.07.2015
Verlag
Springer Netherlands
Erschienen in
Journal of Clinical Monitoring and Computing / Ausgabe 4/2016
Print ISSN: 1387-1307
Elektronische ISSN: 1573-2614
DOI
https://doi.org/10.1007/s10877-015-9736-1

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