Yash Lokhandwala

Intra- and interreader variability in QT interval measurement by tangent and threshold methods in a central electrocardiogram laboratory

BACKGROUND The QT interval can be measured by tangent (QT(Tan)) and threshold (QT(Thr)) methods; the better method is the one with lower reader variability. METHODS QT(Tan) and QT(Thr) were measured twice in 100 digital electrocardiograms (ECGs) by 8 experienced readers in a central laboratory. For QT(Thr), the end of the T wave was the point where the T wave reached the isoelectric baseline; for QT(Tan), it was the point where a line from the peak of the T wave through the steepest part of the descending limb intercepted the isoelectric baseline. RESULTS The average absolute intrareader variability ranged from 3.4 to 6.9 milliseconds for QT(Tan) and from 3.5 to 5.2 milliseconds for QT(Thr). By analysis of variance, intrareader SD of QT(Tan) was 7.0 and 7.5 milliseconds for QT(Thr); interreader SD was 13.1 milliseconds for QT(Tan) and 11.9 milliseconds for QT(Thr). QT(Tan) was shorter than QT(Thr) in 96 of the 100 ECGs, it exceeded QT(Thr) in 4 ECGs, which had prominent U waves. CONCLUSIONS For trained readers in a central ECG laboratory using sophisticated on-screen tools for QT measurement in high-quality digital ECGs, between- and within-reader variability are comparable for QT(Tan) and QT(Thr). However, QT(Tan) is consistently shorter than QT(Thr) by up to 10 milliseconds.

Early repolarization and short QT interval in healthy subjects.

BACKGROUND An early repolarization (ER) pattern is common in ECGs from patients with ventricular fibrillation (VF). These patients with ER have shorter QT intervals. Morphological variants of the ER pattern also have been associated with idiopathic VF, but their prevalence in healthy subjects is unclear. OBJECTIVE The purpose of this study was to study the prevalence of ER and its morphological variants, and its association with the QTc interval in healthy subjects. METHODS Digital ECGs from 1886 healthy subjects from Phase I clinical trials were analyzed by a central ECG laboratory. RESULTS ER, defined as J-point elevation ≥0.1 mV in ≥2 contiguous leads, was present in 514 subjects (27.3%), of whom 505 (98.2%) were males. The prevalence of ER declined progressively with increasing age. ER pattern was seen in lateral leads (I, aVL, V(4)-V(6)) in 26.1%, in inferior (II, III, aVF) or inferolateral leads in 8%, and was global in 1.9%. The terminal portion of the QRS complex was notched in 43.1% and slurred in 56.9%. Notching was common in inferior/lateral leads, and slurring was common in anterior leads. A non-ascending ST segment was seen in 71% of ECGs with a notched pattern but in only 12.3% of ECGs with a slurred pattern. The ER group had slower heart rates (9.3 ± 13.3 bpm [mean difference ± SD], P <.001) and shorter QTc intervals (QTcB = 20.2 ± 25.6 ms, QTcF = 11.0 ± 21.9 ms; P <.001). Four subjects in each group had a short QT interval (QTcF <350 ms). CONCLUSION ER and all of its variants are common in healthy young males with slower heart rates and slightly shorter QTc intervals. A short QT interval (QTcF <350 ms) is rare.

Arrhythmias Seen in Baseline 24-Hour Holter ECG Recordings in Healthy Normal Volunteers During Phase 1 Clinical Trials.

Regulatory agencies encourage sponsors to submit 24‐hour ambulatory ECG data for assessing cardiac safety of new drugs, and some arrhythmias, hitherto considered rare, have been observed in some early‐phase studies. Interpretation of these observations is difficult given the dearth of published data on the prevalence of cardiac arrhythmias seen during 24‐hour continuous ECG monitoring in healthy volunteers (HV) from clinical trials. We analyzed drug‐free ambulatory ECG recordings from 1273 HV (1000 males, 273 females; age 18‐65 years) from 22 phase 1 studies that were analyzed in a core ECG laboratory; all subjects had normal screening ECGs. Supraventricular arrhythmias such as supraventricular premature complexes were observed in 60.8% of healthy volunteers, supraventricular tachycardia in 2.2%, and atrial fibrillation in 0.1%. Ventricular arrhythmias included premature ventricular complexes (PVCs) in 43.4%, >200 PVCs per 24 hours in 3.3%, multifocal PVCs in 5.3%, nonsustained ventricular tachycardia in 0.7%, and accelerated idioventricular rhythm in 0.3%. Bradyarrhythmias included sinus pause >3 seconds in 0.3%, and second‐degree AV block in 2.4%. Complete heart block and torsades de pointes were not seen in any subject. Based on the observed incidence, we estimated the maximum number of healthy subjects in whom these arrhythmias may be seen as a matter of chance in studies with smaller sample sizes if the study drug has no arrhythmogenic effect. Our results and these estimates could help interpret whether cardiac arrhythmias observed in early‐phase studies are due to chance or possibly are a drug effect.

Drug-induced QT prolongation when QT interval is measured in each of the 12 ECG leads in men and women in a thorough QT study

Lead II is commonly used to study drug-induced QT prolongation. Whether other ECG leads too show comparable QT prolongation is not known. We studied moxifloxacin-induced QT prolongation in a thorough QT study in healthy subjects (54 males, 43 females). Placebo-subtracted change from baseline in QTc corrected by Fridericias method (ΔΔQTcF) at 1, 1.5, 2 and 4 hours after moxifloxacin was studied in all 12 leads. Unacceptably wide 90% confidence interval (CI) for ΔΔQTcF was seen in three leads; these leads also had maximum ECGs with flat T waves (60% in aVL, 45% in lead III and 42% in V1). After excluding ECGs with flat T waves, 90% lower CI of ΔΔQTcF was ≥ 5 ms in all leads except leads III, aVL and V1 in men. The 90% lower CI exceeded 5 ms in these leads in women despite wide 90% CIs because of greater mean ΔΔQTcF. Leads III, aVL and V1 should be avoided when measuring QT interval in thorough QT studies.

QTc interval and its variability in patients with schizophrenia and healthy subjects: implications for a thorough QT study

We compared heart rate-corrected QT interval (QTc) and its within- and between-subject variability, in ECGs recorded several days apart for 207 patients with schizophrenia (age range 19-60 yr) with age- and gender-matched healthy controls. Patients had higher heart rates (mean±s.d.) than controls [75±15 beats per minute (bpm) vs. 63±10 bpm; p<0.0001]. QTc by Bazetts formula (QTcB) overestimated QTc interval at high heart rates; consequently QTcB was longer in patients (412±24 ms) than in controls (404±24 ms; p=0.0003). QTc by Fridericias method (QTcF), which was not influenced by heart rate, was comparable (398±22 ms in patients vs. 401±19 ms in controls; p=0.17). Between-subject variability in QTcF was similar in patients (17 ms) and controls (16.2 ms) but within-subject variability was larger (13.1 ms vs. 10 ms, respectively). Thus, a larger sample size is required when thorough QTc studies with a cross-over design are performed in patients with schizophrenia than in healthy subjects; sample size is not increased for studies with a parallel design. Last, QTcF is preferred over QTcB in schizophrenia patients with higher heart rates.