Abstract
Automated monitoring of the QT interval is increasingly common in a variety of clinical settings. A better understanding of how the heart-rate-corrected QT interval (QTc) evolves in early postnatal life is needed before its clinical utility in neonates can be determined. This study aimed to use real-time bedside monitoring as a tool to describe the QTc evolution of premature neonates during the first week of life. All neonates born at a gestation age (GA) of 31 weeks or later and admitted to the level 2 intensive care nursery of the authors’ institution between December 2012 and March 2013 were included in this study. The authors prospectively collected QTc values at 15-min intervals during the first week of life, then used two-way analysis of variance (ANOVA) to compare these data among three GA cohorts: 31 to <34 weeks (cohort A), 34 to <37 weeks (cohort B), and ≥37 weeks (cohort C). All the cohorts demonstrated a statistically significant decline in the 24-h average QTc during the first 3–4 days of life before reaching a stable baseline. No diurnal variation in the QTc was identified in any of the study patients. Marked variability and a progressive decline in the QTc of premature neonates occur during the first 3–4 days of life. Understanding this phenomenon is imperative when screening programs for the early detection of QT prolongation are considered.
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Abbreviations
- ECG:
-
Electrocardiogram
- GA:
-
Gestational age
- ISCN:
-
Intermediate special care nursery
- QTc:
-
Heart-rate-corrected QT interval
- SIDS:
-
Sudden infant death syndrome
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Conflict of interest
Michael J. Ackerman has received consulting fees/honoraria from Boston Scientific, Gilead Sciences, Medtronic, and St. Jude Medical and royalty income from Transgenomic. The remaining authors have neither financial relationships nor conflicts of interest relevant to this article to disclose.
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Dr. Timothy J. B. Ulrich and Dr. Marc A. Ellsworth are both trainees and contributed equally to the study design, data analyses, and manuscript preparation.
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Appendix
The manner in which the algorithm used by the Phillips monitoring system mitigates hysteresis has been well described previously [1]. In brief, the monitor generates a QT interval, termed the “raw” QT, that represents an average of measurable QT intervals over a 1-min span. The raw QT is first adjusted for heart rate using an α-trimmed average during the same 60-s interval from which the raw QT was derived. Next, using the Bazett correction formula, a heart-rate-corrected QT interval is generated. The raw QTc is then low-pass filtered, producing a “filtered” QTc. The raw QTc and the filtered QTc are then compared. If the absolute difference between the two falls between the set thresholds, it is considered “qualified.”
In our study, the final QTc documented in the medical record had been computed based on the average of the “qualified” QTc intervals obtained during that same duration. The monitoring system’s validated algorithm helps to establish reliable trends and limits measuring errors due to hysteresis, T-wave abnormalities (low amplitude, biphasic, inverted), a paucity of leads secondary to surface area confinement, baseline wandering from the muscle artifact, and frequent manipulation of the infant or crying. In addition, our use of a 24-h QTc mean for each infant helps to control for the multiple variations in heart rate and QTc values throughout a single day.
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Ulrich, T.J.B., Ellsworth, M.A., Carey, W.A. et al. Heart-Rate-Corrected QT Interval Evolution in Premature Infants During the First Week of Life. Pediatr Cardiol 35, 1363–1369 (2014). https://doi.org/10.1007/s00246-014-0937-z
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DOI: https://doi.org/10.1007/s00246-014-0937-z