Thorough QT Study Research Articles

Topic of Timely Interest-Decision Criteria for Negative QT Assessment Using Exposure Response Analysis of Data From Early-Phase Clinical Studies: Letter to the Editor.

There are ongoing discussions of the possibility of replacing the thorough QT (TQT) study with QT assessment in early phase clinical studies and the subject is currently under consideration by the International Conference of Harmonisation E14 Discussion Group. For small molecules, early studies are typically performed in healthy subjects with a good range of doses of the new chemical entity (NCE), and they often generate plasma concentrations of the parent compound and metabolites in substantial excess of the therapeutic levels later determined in development in patients. Phase 1 studies are often conducted in clinical units with the same level of strict experimental control as TQT studies and are therefore well suited to generate electrocardiogram (ECG) data of good quality using modern techniques with serial ECGs. If the effects of an NCE on ECG parameters can be evaluated using data from these studies with the same high level of confidence as from a TQT study, this would represent a more resource-efficient approach and would also come with the advantage of learning about adverse ECG effects early in clinical development.

The cardiac safety of aripiprazole treatment in patients at high risk for torsade: a systematic review with a meta-analytic approach.

Certain antipsychotics increase the risk of heart rate-corrected QT (QTc) prolongation and consequently Torsades de Pointes (TdP) and sudden cardiac death (SCD). Drug-induced Brugada syndrome (BrS) is also associated with SCD. Most SCDs occur in patients with additional cardiac risk factors. Aripiprazole's cardiac safety has not been assessed in patients at high risk for torsade, where QTc prolongation risk is highly increased. MEDLINE, Embase, and The Cochrane Library were searched for preclinical, clinical, and epidemiological studies. Eligible studies were reviewed and cardiac safety data were extracted. Continuous and dichotomous QTc data were used in the meta-analysis. Preclinical studies suggested that aripiprazole has limited affinity for the delayed rectifier potassium current. TdP was reported in two case reports and SCD was reported in one case report and one case series. No clinical studies assessing aripiprazole's cardiac safety in patients at high risk for torsade were found. No thorough QT (TQT) study with aripiprazole was found. The meta-analysis revealed that the mean ΔQTc interval was decreased with aripiprazole and QTc prolongation risk was lower compared with placebo and active controls. Epidemiological studies linked aripiprazole to weak/moderate torsadogenicity. No studies were found associating aripiprazole with BrS suggesting low affinity for the fast sodium current. Aripiprazole is a low-risk antipsychotic regarding cardiac safety in healthy patients. However, baseline and steady state electrocardiogram is recommended in patients at high risk for torsade due to marked QTc prolongation, absence of a TQT study, and lack of data in this group.

Moxifloxacin-induced QTc interval prolongations in healthy male Japanese and Caucasian volunteers: a direct comparison in a thorough QT study.

We investigated whether moxifloxacin-induced QTc prolongations in Japanese and Caucasian healthy male volunteers were significantly different. A two period, randomized, crossover, ICH-E14-compliant thorough QT (TQT) study compared placebo-corrected changes in QTc interval from baseline (ΔΔQTc F) and concentration-effect relationships following administration of placebo and 400 mg moxifloxacin to 40 healthy male volunteers from each ethnic population. The point estimates of ΔΔQTc F for each population, and the difference between the two, were calculated at a geometric mean Cmax of moxifloxacin using a linear mixed effects model. The concentration-effect slopes of the two populations were also compared. Equivalence was concluded if the two-sided 90% confidence interval of the difference in ΔΔQTc F was contained within -5 ms to +5 ms limits and the ratio of the slopes was between 0.5 and 2. There were no statistically significant differences between the two populations studied, Japanese vs. Caucasians, respectively, for moxifloxacin Cmax (3.27 ± 0.6 vs. 2.98 ± 0.7 µg ml(-1) ), ΔΔQTc F (9.63 ± 1.15 vs. 11.46 ± 1.19 ms at Cmax of 3.07 µg ml(-1) ) and concentration-response slopes (2.58 ± 0.62 vs. 2.34 ± 0.64 ms per µg ml(-1) ). The difference in the two ΔΔQTc F of -1.8 (90% CI -4.6, 0.9) and the ratio of the two slopes (1.1; 90% CI 0.63, 1.82) were within pre-specified equivalence limits. Moxifloxacin-induced QTc prolongations did not differ significantly between the Japanese and Caucasian subjects. However, before our findings are more widely generalized, further studies in other populations and with other QT-prolonging drugs are needed to clarify whether inter-ethnic differences in QT sensitivity exist and whether ethnicity of the study population may affect the outcome of a TQT study.

Lessons Learned From Hundreds of Thorough QT Studies.

The coherence between the relationship of QTc and drug plasma concentration (this relationship is measured through the slope) and ICH E14 findings based on hundreds of QT study reports was studied. Based on ICH E14 analysis, our findings indicate that if the slope was not positive, in most cases (86%) the corresponding QT studies were also negative. If the slope was positive, 92% of the corresponding QT studies were also positive. In exploring whether a thorough QT (TQT) study may be needed, we recommend that the relationship analysis between QTc and drug plasma concentration be performed when proper single ascending dose (SAD) and multiple ascending dose (MAD) studies are available. If the relationship cannot be detected and the 90% upper confidence interval at a fixed concentration level (50th or 75th percentile, or mean peak plasma concentration [Cmax]) is below a certain threshold level (eg, 10 milliseconds), then a TQT study might be unnecessary. If the relationship can be established and the 90% lower confidence interval at a fixed concentration level (eg, mean Cmax) is greater than 10 milliseconds, further investigation is needed. If the signal is real, one might choose intensive safety monitoring during later drug development instead of a TQT study for a good compound. However, there are still some gray areas in which this analysis alone cannot determine the potential QT liability of the drug, and a TQT type of study might be worth considering.

Pharmacokinetic-pharmacodynamic analysis to evaluate the effect of moxifloxacin on QT interval prolongation in healthy Korean male subjects.

A single 400 mg dose of moxifloxacin has been the standard positive control for thorough QT (TQT) studies. However, it is not clearly known whether a 400 mg dose is also applicable to TQT studies in Asian subjects, including Koreans. Thus, we aimed to develop a pharmacokinetic (PK)-pharmacodynamic (PD) model for moxifloxacin, to evaluate the time course of its effect on QT intervals in Koreans. Data from three TQT studies of 33 healthy male Korean subjects who received 400 and 800 mg of moxifloxacin and placebo (water) were used. Twelve-lead electrocardiograms were taken for 2 consecutive days: 1 day to record diurnal changes and the next day to record moxifloxacin or placebo effects. Peripheral blood samples were also obtained for PK analysis. The PK-PD data obtained were analyzed using a nonlinear mixed-effects method (NONMEM ver. 7.2). A two-compartment linear model with first-order absorption provided the best description of moxifloxacin PK. Individualized QT interval correction, by heart rate, was performed by a power model, and the circadian variation of QT intervals was described by two mixed-effect cosine functions. The effect of moxifloxacin on QT interval prolongation was well explained by the nonlinear dose-response (Emax) model, and the effect by 800 mg was only slightly greater than that of 400 mg. Although Koreans appeared to be more sensitive to moxifloxacin-induced QT prolongation than were Caucasians, the PK-PD model developed suggests that a 400 mg dose of moxifloxacin is also applicable to QT studies in Korean subjects.

Prediction of Thorough QT study results using action potential simulations based on ion channel screens

IntroductionDetection of drug-induced pro-arrhythmic risk is a primary concern for pharmaceutical companies and regulators. Increased risk is linked to prolongation of the QT interval on the body surface ECG. Recent studies have shown that multiple ion channel interactions can be required to predict changes in ventricular repolarisation and therefore QT intervals. In this study we attempt to predict the result of the human clinical Thorough QT (TQT) study, using multiple ion channel screening which is available early in drug development. MethodsIon current reduction was measured, in the presence of marketed drugs which have had a TQT study, for channels encoded by hERG, CaV1.2, NaV1.5, KCNQ1/MinK, and Kv4.3/KChIP2.2. The screen was performed on two platforms — IonWorks Quattro (all 5 channels, 34 compounds), and IonWorks Barracuda (hERG & CaV1.2, 26 compounds). Concentration–effect curves were fitted to the resulting data, and used to calculate a percentage reduction in each current at a given concentration.Action potential simulations were then performed using the ten Tusscher and Panfilov (2006), Grandi et al. (2010) and O'Hara et al. (2011) human ventricular action potential models, pacing at 1Hz and running to steady state, for a range of concentrations. ResultsWe compared simulated action potential duration predictions with the QT prolongation observed in the TQT studies. At the estimated concentrations, simulations tended to underestimate any observed QT prolongation. When considering a wider range of concentrations, and conventional patch clamp rather than screening data for hERG, prolongation of ≥5ms was predicted with up to 79% sensitivity and 100% specificity. DiscussionThis study provides a proof-of-principle for the prediction of human TQT study results using data available early in drug development. We highlight a number of areas that need refinement to improve the method's predictive power, but the results suggest that such approaches will provide a useful tool in cardiac safety assessment.

The Effects of Moxifloxacin on QTc Interval in Healthy Korean Male Subjects

Background and objectiveMoxifloxacin 400 mg is a widely used positive control in thorough QT (TQT) studies, but its QT-prolonging effects in Korean subjects have not been studied. The present study was conducted to collect pilot data in Korean subjects after moxifloxacin administration to evaluate the adequacy of moxifloxacin as a positive control.MethodsThirty-eight, healthy, Korean, male subjects were recruited for pharmacokinetic (PK) blood sampling and electrocardiography (ECG) recordings at three different study sites. On day 1, a baseline 12-lead ECG was recorded, and on day 2, ECG recordings were conducted after placebo, or moxifloxacin 400- or 800-mg administration. Baseline-corrected, placebo-adjusted, corrected QT (ΔΔQTc) values were calculated. Blood samples were collected after moxifloxacin administration and PK parameters were assessed.ResultsA total of 33 subjects completed the study. The largest time-matched ΔΔQTc occurred approximately 4 h after dosing, with ΔΔQTcI (QT interval corrected by individual QT-RR regression model) values of 11.66 ms (moxifloxacin 400 mg) and 20.96 ms (800 mg). The mean and 90 % confidence intervals of ΔΔQTcI did not include zero at any of the measurement time points. There was a positive correlation between plasma moxifloxacin concentration and ΔΔQTcI (r = 0.422). Dose-proportional PK profiles were observed.ConclusionMoxifloxacin 400 mg is an adequate positive control in Korean TQT studies. Our results indicate that moxifloxacin 400 mg can be used to evaluate the cardiac safety of a drug in Korean subjects.

Circadian Variation and Baseline Definition in Parallel-Group Thorough QT Studies.

For thorough QT (TQT) studies employing a parallel-group design, there has been a clear regulatory preference for the use of time-matched, rather than time-averaged, baseline values to account for circadian variation when estimating the magnitude of the drug effect on the QT interval. In this paper, both historical data from parallel-group TQT studies and simulated data from assumed circadian models are utilized to comprehensively assess the performance characteristics of 3 repeated-measures analysis of covariance models. The results indicate that each analysis model performs adequately in the absence of an observed time-matched baseline imbalance between the treatment groups. However, the analysis model with time-matched baseline as a covariate performs poorly under the setting of an observed time-matched baseline imbalance between the treatment groups. The analysis model with time-averaged baseline as a covariate and the analysis model with both time-matched and time-averaged baselines as covariates provide unbiased estimates of the treatment difference and properly control the type I error rate, regardless of an observed time-matched baseline imbalance or within-patient variation in circadian parameters.

A repeat‐dose thorough QT study of inhaled fluticasone furoate/vilanterol combination in healthy subjects

AIMSThis study was designed as a thorough QT (TQT) study to evaluate the effects of fluticasone furoate(FF)/vilanterol (VI) in healthy subjects. Supportive data from a TQT study conducted with FF are also presented.METHODSThis was a randomized, placebo-and positive-controlled, double-dummy, double-blind, four-way crossover study, in which healthy subjects (n = 85) were randomized to 7 days of once-daily treatment of FF/VI (200/25 or 800/100 μg) or placebo or single-dose oral moxifloxacin (single-blind, 400 mg). In the supportive TQT study, subjects (n = 40) were randomized to single-dose inhaled FF(4000 μg), oral moxifloxacin (400 mg) or placebo.RESULTSThere was a lack of effect of FF/VI (200/25 μg) on QTcF (Fridericia's correction); all time-matched mean differences from baseline relative to placebo (0–24 h) were <5 ms, with upper 90% confidence intervals (CI) of <10 ms. At 800/100 μg, FF/VI had no significant clinicaleffect on QTcF except at 30 min postdose when the 90% CI was >10 ms [mean (90% CI), 9.6 ms (7.2, 12.0)]. No effect on QTci (individually corrected) was observed at either strength of FF/VI, with mean time-matched treatment differences <5 ms at all time points [upper 90% CIs <10 ms (0–24 h)]. Assay sensitivity was confirmed; moxifloxacin prolonged QTcF and QTci, with time-matched mean differences from baseline relative toplacebo of >10 ms (1–8 h postdose).CONCLUSIONSRepeat once-daily dosing of FF/VI (200/25 μg), which is the highest therapeutic strength used in phase III studies, is not associated with QTc prolongation in healthy subjects. Supratherapeutic strength FF/VI (800/100 μg) demonstrated a small transient effect on QTcF but not on QTci.

Electrocardiographic Data Quality in Thorough QT/QTc Studies

Most drugs with systemic bioavailability have to undergo a thorough QT (TQT) study, which includes a pharmacologic positive control. A set of QTc-quality tests was recently proposed with the possible aim of removing the need for a positive control. We evaluated the influence of QT measurement and QTc computation methodology on the proposed QTc-quality tests. The baseline ECG waveforms and fiducial points were retrieved from 34 crossover TQT studies that had full-day baseline ECGs prior to each study period. The QT measurement methodology and recorder type were retrieved from study reports. The influence of QTc computation methodology was investigated by applying the pattern-matching technique and/or using the 10-s average heart rate. There were no statistical differences in any QTc-quality test values between studies using continuous or 10-s bedside recordings and, in a subset of the quality test, an increase of data quality for semi-automatically read studies compared with those manually read (p < 0.01). There was a significant improvement (p < 0.01) in all the QTc-quality test values for QTc measurements obtained by using pattern matching with or without 10-s average heart rate in comparison to the original QTc measurements. The findings suggest that QTc quality is mostly driven by the QTc measurement methodology rather than other study-related factors.

The IQ‐CSRC Prospective Clinical Phase 1 Study: “Can Early QT Assessment Using Exposure Response Analysis Replace the Thorough QT Study?”

A collaboration between the Consortium for Innovation and Quality in Pharmaceutical Development and the Cardiac Safety Research Consortium has been formed to design a clinical study in healthy subjects demonstrating that the thorough QT (TQT) study can be replaced by robust ECG monitoring and exposure-response (ER) analysis of data generated from First-in-Man single ascending dose (SAD) studies. Six marketed drugs with well-characterized QTc effects were identified in discussions with FDA; five have caused QT prolongation above the threshold of regulatory concern. Twenty healthy subjects will be enrolled in a randomized, placebo-controlled study designed with the intent to have similar power to exclude small QTc effects as a SAD study. Two doses (low and high) of each drug will be given on separate, consecutive days to 9 subjects. Six subjects will receive placebo. Data will be analyzed using linear mixed-effects ER models. Criteria for QT-positive drugs will be the demonstration of an upper bound (UB) of the 2-sided 90% confidence interval (CI) of the projected QTc effect at the peak plasma level of the lower dose above the threshold of regulatory concern (currently 10 ms) and a positive slope of ER relationship. The criterion for QT-negative drug will be an UB of the CI of the projected QTc effect of the higher dose <10 ms. It is expected that a successful outcome in this study will provide evidence supporting replacement of the TQT study with ECG assessments in standard early clinical development studies for a new chemical entity.

Cardiac Repolarization With Gabapentin Enacarbil in a Randomized, Double-Blind, Placebo- and Active-Controlled, Crossover Thorough QT/QTc Study in Healthy Adults

BackgroundGabapentin enacarbil (GEn) is a prodrug of gabapentin and is approved in the United States in adults for the management of postherpetic neuralgia and in the United States and Japan for the treatment of moderate-to-severe primary restless legs syndrome. ObjectiveThis study examined the lack of effect of GEn on cardiac repolarization in accordance with International Conference on Harmonisation E14 guidance. MethodsThis was a randomized, double-blind, double-dummy, placebo- and active- controlled, crossover study in healthy adults (age range, 18–50 years). Study participants received the following in randomized order with a minimum 7-day washout period between treatments: placebo at 0 hours and GEn 1200 mg at 2 hours (GEn 1200 mg group), placebo at 0 hours and GEn 6000 mg at 2 hours (GEn 6000 mg group), placebo at 0 and 2 hours (placebo group), moxifloxacin 400 mg (active control group) at 0 hours, and placebo at 2 hours (moxifloxacin group). Dose offsetting permitted moxifloxacin to be administered in the fasted state and GEn to be administered in the fed state. Assessments included continuous ECG monitoring, pharmacokinetic parameters, and safety and tolerability profiles. The primary end point was the change from baseline in the Fridericia corrected QT interval, at each time point, for the GEn 6000 mg and placebo groups. ResultsOf 52 adults enrolled (mean [SD] age, 30.8 [8.55] years; 50% women), 44 adults (85%) completed the study. Forty-nine adults received GEn 1200 mg, 47 received GEn 6000 mg, 48 received placebo, and 47 received moxifloxacin. The highest estimated (upper limit of the 95% CI) model-adjusted difference in mean change from baseline in the Fridericia corrected QT interval between GEn and placebo was 3.55 (5.66) msec for 1200 mg and 1.20 (3.32) msec for 6000 mg. Assay sensitivity was confirmed with moxifloxacin 400 mg. The geometric mean (%CV) Cmax (between-subject coefficient of variation) was 7.49 (21.2) μg/mL for GEn 1200 mg, 32.46 (23.9) μg/mL for GEn 6000 mg, and 2.08 (24.5) μg/mL for moxifloxacin 400 mg. The most frequently reported adverse events with GEn 6000 mg were dizziness (30%), feeling drunk (26%), nausea (15%), headache (13%), and vomiting (13%). ConclusionSingle doses of GEn, up to 6000 mg, had no effect on cardiac repolarization in this thorough-QT study and are unlikely to cause clinically relevant QT prolongation in clinical use. Assay sensitivity was confirmed with moxifloxacin as an active control. ClinicalTrials.gov identifier: NCT01516372.

Early QT assessment--how can our confidence in the data be improved?

Exposure-response (ER) analysis has emerged as an important tool to interpret QT data from thorough QT (TQT) studies and allows the prediction of effects in the targeted patient population. Recently, ER analysis has also been applied to data from early clinical pharmacology studies, such as single and multiple ascending dose studies, in which high plasma concentrations are often achieved. In line with this, there is an on-going discussion between sponsors, academicians and regulators on whether 'early QT assessment' can provide sufficiently high confidence in assessment of QT prolongation to replace the TQT study. In this article, we discuss how QT assessment can be applied to early clinical studies ('early QT assessment') and what we believe is needed to achieve the same high confidence in the data as we currently obtain from data from the TQT study. The power to exclude a QTc effect exceeding 10 ms in small sample sizes using ER analysis will be discussed and compared with time-matched analysis, as described in the ICH E14 guidance. Two examples of early QT assessment are shared; one negative and one positive, and the challenge in terms of demonstrating assay sensitivity in the absence of a pharmacological positive control will be discussed. Finally, we describe a recent research proposal, which may generate data to support the replacement of the TQT study with data from QT assessment in early phase 1 studies.

Choice of Baseline in Parallel Thorough QT Studies

Although the ICH E14 Guidance [1] was adopted in 2005 there is still much debate on the appropriate baseline needed to adjust for the variable nature of the QT interval and its heart rate corrected value (QTc) in the parallel Thorough QT (TQT) study. Numerous reports have documented the influence of circadian rhythm [2], food ingestion [3], sleep [4], and autonomic tone [5] on the QT/QTc interval. In the absence of baseline measurements, these factors can make it difficult to interpret QT effects of the study drug. In this issue of Drug Safety Dr. Zhang and colleagues [6] advocate the use of a time-matched baseline in parallel TQT studies to maximize the precision and accuracy of point estimates for QTc effects. Their recommendation is based on analyses of commonly used baseline correction methods using a large data set of parallel TQT studies submitted to the FDA for statistical review by sponsors. One assumption in the choice of baseline is that it should have no influence on the magnitude of QT effects (high accuracy) and it should minimize the uncertainty of the effects (high precision). Both accuracy and precision are important for the interpretation of a TQT trial. As a result, there is much focus on the implications of using different baseline adjustments in the parallel TQT study and understanding the role each baseline definition can have in determining the outcome of the trial as either positive or negative. The distinction between a positive or negative TQT study is based on the upper bound of the 95 % one-sided confidence interval (CI) for the largest time-matched mean difference in QTc between drug and placebo (baseline adjusted). If these (double-delta) DDQTc values exclude 10 ms at all study times the result is a negative TQT study [1]. Intensive ECG monitoring is then hardly ever required in subsequent trials (phase II/III). Conversely, drugs for which an effect exceeding 10 ms cannot be excluded almost always require additional QT interval monitoring in target patients including dose-concentration effects, outlier analysis, changes in mean QTc values, analysis of QTc in subgroups of interest, and identification of individuals who develop a markedly prolonged QTc. The need for additional ECG monitoring in late phase trials can add millions to drug development and may ultimately pose financial limitations on the number of medications which can be developed [7]. The importance of correctly adjusting for baseline in the TQT study is therefore evident.

Baseline Correction in Parallel Thorough QT Studies

In parallel thorough QT (TQT) studies, it has been speculated that either baseline correction should be omitted, under the assumption that it only adds noise to the data, or a time-averaged baseline instead of a time-matched baseline correction should be considered in order to reduce the study variability. This study characterized the assumptions and implications of different baseline correction approaches in parallel TQT studies submitted for regulatory review. 57 parallel TQT studies conducted between 2002 and 2009 in 5591 healthy volunteers were evaluated. Only moxifloxacin and placebo arms, including their baselines, were considered. The options of using no baseline correction, time-averaged baseline correction, and time-matched baseline correction were examined and compared. QTc values exhibited a diurnal pattern, with longer QTc intervals during sleep preserved when correcting for a time-averaged baseline. Post-dose and baseline QTc values were highly correlated (mean ρ = 0.80, range 0.56-0.98 and mean ρ = 0.79, range 0.50-0.96 in the placebo and moxifloxacin groups, respectively). The variability of raw QTc values was substantially larger than that of baseline-adjusted QTc values. The difference in the point estimate of QTc differences between moxifloxacin and placebo differed by up to ± 4 ms between the time-averaged and the time-matched baseline corrections. Statistical tests indicate that assumptions of time-averaged baseline and no baseline correction are not appropriate. Baseline correction in parallel TQT studies leads to more precise QTc estimates. Because of possible inaccuracy introduced by time-averaged baseline correction, the time-matched baseline correction appears to be preferable for a parallel TQT study to both reduce the intrinsic variability due to circadian patterns and obtain more accurate point estimates.

Drug‐induced QT interval prolongation: does ethnicity of the thorough QT study population matter?

Inter-ethnic differences in drug responses have been well documented. Drug-induced QT interval prolongation is a major safety concern and therefore, regulatory authorities recommend a clinical thorough QT study (TQT) to investigate new drugs for their QT-prolonging potential. A positive study, determined by breach of a preset regulatory threshold, significantly influences late phase clinical trials by requiring intense ECG monitoring. A few studies that are currently available, although not statistically conclusive at present, question the assumption that ethnicity of the study population may not influence the outcome of a TQT study. Collective consideration of available pharmacogenetic and clinical information suggests that there may be inter-ethnic differences in QT-prolonging effects of drugs and that Caucasians may be more sensitive than other populations. The information also suggest s that (a) these differences may depend on the QT-prolonging potency of the drug and (b) exposure-response (E-R) analysis may be more sensitive than simple changes in QT(c) interval in unmasking this difference. If the QT response in Caucasians is generally found to be more intense than in non-Caucasians, there may be significant regulatory implications for domestic acceptance of data from a TQT study conducted in foreign populations. However, each drug will warrant an individual consideration when extrapolating the results of a TQT study from one ethnic population to another and the ultimate clinical relevance of any difference. Further adequately designed and powered studies, investigating the pharmacologic properties and E-R relationships of additional drugs with different potencies, are needed in Caucasians, Oriental/Asian and African populations before firm conclusions can be drawn.

Insulin at normal physiological levels does not prolong QTc interval in thorough QT studies performed in healthy volunteers

Food is known to shorten the QT(c) (QT(c)I and QT(c)F) interval and has been proposed as a non-pharmacological method of confirming assay sensitivity in thorough QT (TQT) studies and early phase studies in medicines research. Intake of food leads to a rise in insulin levels together with the release of C-peptide in equimolar amounts. However, it has been reported that euglycaemic hyperinsulinemia can prolong the QT(c) interval, whilst C-peptide has been reported to shorten the QT(c) interval. Currently there is limited information on the effects of insulin and C-peptide on the electrocardiogram (ECG). This study was performed to assess the effect of insulin, glucose and C-peptide on the QT(c) interval under the rigorous conditions of a TQT study. Thirty-two healthy male and female, Caucasian and Japanese subjects were randomized to receive six treatments: (1) placebo, (2) insulin euglycaemic clamp, (3) carbohydrate rich 'continental' breakfast, (4) calorie reduced 'American' FDA breakfast, (5) moxifloxacin without food, and (6) moxifloxacin with food. Measurements of ECG intervals were performed automatically with subsequent adjudication in accordance with the ICH E14 guideline and relevant amendments. No effect was observed on QT(c)F during the insulin euglycaemic clamp period (maximal shortening of QT(c) F by 2.6 ms, not significant). Following ingestion of a carbohydrate rich 'continental' breakfast or a calorie reduced 'American' FDA standard breakfast, a rapid increase in insulin and C-peptide concentrations were observed. Insulin concentrations showed a peak response after the 'continental' breakfast observed at the first measurement time point (0.25 h) followed by a rapid decline. Insulin concentrations observed with the 'American' breakfast were approximately half of those seen with the 'continental' breakfast and showed a similar pattern. C-peptide concentrations showed a peak response at the first measurement time point (0.25 h) with a steady return to baseline at the 6 h time point. The response to the 'continental' breakfast was approximately double that of the 'American' FDA breakfast. A rapid onset of the effect on QT(c) F was observed with the 'continental' breakfast with shortening by >5 ms in the time interval from 1 to 4 h. After the 'American' FDA breakfast, a similar but smaller effect was seen. The findings of this study demonstrate that there was no change in QT(c) during the euglycaemic clamp. Given that insulin was raised to physiological concentrations comparable with those seen after a meal, whilst the release of C-peptide was suppressed, insulin appears to have no effect on the QT(c) interval in either direction. The results suggest a relationship exists between the shortening of QT(c) and C-peptide concentrations and indicate that glucose may have a QT(c) prolonging effect, which will require further research.

Computerized Extraction of Electrocardiograms From Continuous 12‐Lead Holter Recordings Reduces Measurement Variability in a Thorough QT Study

Continuous Holter recordings are often used in thorough QT studies (TQTS), with multiple 10-second electrocardiograms (ECGs) visually selected around predesignated time points. The authors hypothesized that computer-automated ECG selection would reduce within-subject variability, improve study data precision, and increase study power. Using the moxifloxacin and placebo arms of a Holter-based crossover TQTS, the authors compared interval duration measurements (IDMs) from manually selected to computer-selected ECGs. All IDMs were made with a fully automated computer algorithm. Moxifloxacin-induced changes in baseline- and placebo-subtracted QT intervals were similar for manual and computer ECG selection. Mean 90% confidence intervals were narrower, and within-subject variability by mixed-model covariance was lower for computer-selected than for manual-selected ECGs. Computer ECG selection reduced the number of subjects needed to achieve 80% power by 40% to 50% over manual. Computer ECG selection returns accurate ddQTcF values with less measurement variability than manual ECG selection by a variety of metrics. This results in increased study power and reduces the number of subjects needed to achieve desired power, which represents a significant potential source cost savings in clinical drug trials.

Practice and challenges of thorough QT studies

The drug-induced Torsade de Pointes (TdP) tachycardia is a known regulatory problem which led to the concept of the so-called thorough QT (TQT) studies now required for practically every new pharmaceutical compound. This review summarizes the concept of the TQT studies, their statistical evaluation, and related pharmacodynamic /pharmacokinetic modeling. The review also lists suggestions of how to make TQT studies more efficient and how to improve the interpretation of clinical data obtained during drug development to identify drugs prone to TdP induction more effectively.

Early Investigation of QTc Liability

The International Conference on Harmonization (ICH) guidance note E14 requires a thorough QT (TQT) study to characterize proactively the potential of a new drug to affect cardiac repolarization, as determined by prolongation of the corrected QT (QTc) interval. A typical TQT study is reviewed herein with a discussion on various practical issues concerning the use of a supratherapeutic dose, establishing assay sensitivity, the application of QT rate-correction methods, and restricting analyses of ECGs and plasma samples to key timepoints.