Population pharmacokinetics of immediate- and prolonged-release tacrolimus formulations in liver, kidney and heart transplant recipients.

AIMS: Develop a population pharmacokinetics model of tacrolimus in organ transplant recipients receiving twice-daily, immediate-release (IR-T; Prograf) and/or once-daily, prolonged-release (PR-T; Advagraf or Astagraf XL) tacrolimus. METHODS: Tacrolimus concentration-time profiles were analysed from 8 Phase II studies in adult and paediatric liver, kidney and heart transplant patients receiving IR-T and/or PR-T. A tacrolimus population pharmacokinetic model, including identification of significant covariates, was developed using NONMEM. RESULTS: Overall, 23,176 tacrolimus concentration records were obtained from 408 patients. A 2-compartment model with first-order absorption and elimination described the concentration-time profiles. Tacrolimus absorption rate was 50% slower with PR-T vs IR-T. Tacrolimus apparent oral clearance was 44.3 L/h in Whites and 59% higher in Asians. Tacrolimus central volume of distribution was 108 L in males and 55% lower in females; trough concentrations were similar between formulations. Tacrolimus relative bioavailability was similar between formulations (geometric mean ratio PR-T:IR-T 95%, 90% confidence intervals: 89%, 101%). Asians had 83% and 51% higher relative bioavailability than Whites and Blacks, respectively, for IR-T and PR-T. Whites had 49% and 77% higher relative bioavailability than Blacks for PR-T and IR-T, respectively. Blacks had 52% lower relative bioavailability than Whites and Asians for IR-T and PR-T. Type of organ transplanted and patient population (adult/paediatric) did not have a significant effect on tacrolimus pharmacokinetics. CONCLUSIONS: This population pharmacokinetic model described data from transplant recipients who received IR-T and/or PR-T. Tacrolimus trough concentrations and relative bioavailability were similar between formulations, supporting 1 mg:1 mg conversion from Prograf to Advagraf/Astagraf XL in clinical practice.

Pharmacokinetics of prolonged-release tacrolimus and implications for use in solid organ transplant recipients.

Prolonged-release tacrolimus was developed as a once-daily formulation with ethylcellulose as the excipient, resulting in slower release and reduction in peak concentration (Cmax ) for a given dose compared with immediate-release tacrolimus, which is administered twice daily. This manuscript reviews pharmacokinetic information on prolonged-release tacrolimus in healthy subjects, in transplant recipients converted from immediate-release tacrolimus, and in de novo kidney and liver transplant recipients. As with the immediate-release formulation, prolonged-release tacrolimus shows a strong correlation between trough concentration (Cmin ) and area under the 24-hour time-concentration curve (AUC24 ), indicating that trough whole blood concentrations provide an accurate measure of drug exposure. We present the pharmacokinetic similarities and differences between the two formulations, so that prescribing physicians will have a better understanding of therapeutic drug monitoring in patients receiving prolonged-release tacrolimus.

Reproducibility of QTc interval changes after meal intake.

BACKGROUND: Detection of QTc decreases after meal intake was proposed as a possible proof of assay sensitivity in studies of drug-induced QTc changes. However, day-to-day reproducibility of QTc decreases after meal intake has not been established. METHODS: Holter recordings were available from 4 different baseline drug-free days of a thorough QT study in 157 females and 164 males. During each of the baselines, subjects were fasting in the morning and were served standardized lunch. Heart rates and QTc intervals were measured during repeated time-points throughout each study day. Two investigations were performed. In the first investigation, 3 heart rate and QTc measurements 1, 2, and 3h after lunch were averaged in each subject and corrected for the morning fasting baseline. Reproducibility of heart rate and QTc changes after the meal on different days X and Y was assessed by normalized repeatability coefficients 2*|MX-MY|/|MX+MY|, where MX and MY are measurements in the same subject on days X and Y, respectively. These were compared for heart rate and QTc changes after meal for different pairs of baseline days. In the second investigation, 36 females and 41 males were considered who received moxifloxacin during the source thorough QT study. The QTc increases after moxifloxacin were expressed by averaging 3 time-point values and corrected for placebo QTc values measured 25days apart. In the same subjects, QTc readings after lunch were also corrected for fasting baseline readings 25days apart. QTc responses to moxifloxacin and to meal intake were compared. RESULTS: Repeatability of QTc decreases after meal was significantly (p<0.0000001) poorer than that of heart rate increases after meal. Of the subjects receiving moxifloxacin during the study, 6% did not show QTc prolongation on moxifloxacin while 39% have not shown QTc shortening after lunch (p<0.00001). CONCLUSION: The reproducibility of QTc changes after meal is limited. The power of proving QTc assay sensitivity by the detection of QTc changes after meal is poorer than the power of the standard moxifloxacin-based assay sensitivity.

Cardiac Safety Research Consortium: can the thorough QT/QTc study be replaced by early QT assessment in routine clinical pharmacology studies? Scientific update and a research proposal for a path forward.

The International Conference on Harmonization E14 guidance for the clinical evaluation of QT/QTc interval prolongation requires almost all new drugs to undergo a dedicated clinical study, primarily in healthy volunteers, the so-called TQT study. Since 2005, when the E14 guidance was implemented in United States and Europe, close to 400 TQT studies have been conducted. In February 2012, the Cardiac Safety Research Consortium held a think tank meeting at Food and Drug Administration's White Oak campus to discuss whether "QT assessment" can be performed as part of routine phase 1 studies. Based on these discussions, a group of experts convened to discuss how to improve the confidence in QT data from early clinical studies, for example, the First-Time-in-Human trial, through collection of serial electrocardiograms and pharmacokinetic samples and the use of exposure response analysis. Recommendations are given on how to design such "early electrocardiogram assessment," and the limitation of not having a pharmacologic-positive control in these studies is discussed. A research path is identified toward collecting evidence to replace or provide an alternative to the dedicated TQT study.

ICH E14-compatible holter bin method and its equivalence to individual heart rate correction in the assessment of drug-induced QT changes.

INTRODUCTION: The Holter bin method evaluates QT interval changes in the presence of heart rate changes without correcting the QT interval. However, the method does not allow time-matched comparisons, thus contradicting available guidance and good practice. We report a modification of the methods that allows time-matched comparisons without any heart rate correction. METHODS AND RESULTS: The modified Holter bin method (a) finds matching baseline heart rates for each QT reading on treatment and (b) calculates ΔQT values from the QT intervals on baseline and on treatment that match in heart rates. The difference between ΔQT values on active treatment and placebo provides the ΔΔQT value. The method was compared with the individual correction method in the data of the mirabegron thorough QT study in which supratherapeutic doses of this ß3-adrenoceptor agonist led to substantial heart rate changes. The modified Holter bin method reproduced closely the results obtained with the individual heart rate correction. At all time points of the mirabegron study, the differences between the mean ΔΔQT values by the Holter bin method and the individual correction method were below 1 millisecond. Compared to the individual correction, the Holter bin method led to slight increases in the standard deviations of ΔΔQT values, but these were on average below 0.25 millisecond. CONCLUSIONS: The Holter bin methodology can be modified to make it compatible with the available guidance and with good practice of clinical investigations. The results obtained with the modified Holter bin method are practically the same as with individualized heart rate corrected QT intervals. The close correspondence between the 2 methods demonstrates that the present possibilities of comparing QT interval duration in the presence of experiment-induced heart rate differences are not influenced by methodological artifacts.

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.

QTc changes after meal intake: sex differences and correlates.

BACKGROUND: Detection of food-induced QTc shortening has been proposed as an assay sensitivity in thorough QT/QTc (TQT) studies. Data of a large clinical study were used to investigate the food effects on QTc intervals. METHODS: Day-time drug-free 12-lead Holter recordings starting around 8:20AM were repeated 4 times in each of 176 female and 176 male healthy subjects aged 32.7±9.1years. The recordings contained 16 episodes during which the subjects were in strict supine position. Heart rate and QTc intervals individually corrected for rate and QT/RR hysteresis were measured during these episodes and averaged over the 4 repeated recordings. In the morning hours, the subjects were fasting. Standardized lunch and dinner were served at around 2:00PM and 7:30PM, respectively. Heart rate and QTc changes induced by lunch and dinner were assessed by calculating the differences of averaged measurements from 2hours before till 2hours after the meals. RESULTS: In women, lunch and dinner led to statistically significant heart rate accelerations by 11.0±4.0 and 6.8±3.4 beats per minute [bpm], respectively. In men, the corresponding significant heart rate accelerations were by 9.9±3.4 and 4.5±2.6bpm, respectively. On the contrary, the QTc responses to both meals were inconsistent. After lunch, QTc intervals shortened significantly by 2.87±3.46ms and 0.79±3.64ms in women and men, respectively. However, after dinner, QTc intervals prolonged significantly by 4.69±3.66ms and 3.53±2.88ms in women and men, respectively. CONCLUSIONS: There were systematic changes in individually corrected QTc intervals with QTc shortening after lunch and QTc lengthening after dinner, both in women and men. Because of these divergent diurnal effects, the use of meal-induced QTc changes to prove the assay sensitivity in TQT studies requires further evaluation.

QT/RR curvatures in healthy subjects: sex differences and covariates.

Data of a large clinical study were used to investigate how much are the QT/RR patterns in healthy subjects curved and whether these curvatures differ between women and men. Daytime drug-free 12-lead Holter recordings were repeated 4 times in each of 176 female healthy subjects and 176 male healthy subjects aged 32.7 ± 9.1 yr. In each of the subjects, up to 1,440 carefully verified QT interval measurements were obtained with QT/RR hysteresis-corrected RR intervals. Individual subject data were used to fit the following regression equation: QT = χ + (δ/γ)(1 - RR(γ)) + ε, where QT and RR are QT and RR measurements (in s), χ is regression intercept, δ is the QT/RR slope, γ is the QT/RR curvature and provides the lowest regression residual, and ε represents normally distributed zero-centered errors. The bootstrap technique showed the intrasubject reproducibility of QT/RR slopes and curvatures. In women and men, QT/RR curvatures were 0.544 ± 0.661 and 0.797 ± 0.706, respectively (P = 0.0006). The corresponding QT/RR slopes were 0.158 ± 0.030 and 0.139 ± 0.023, respectively (P < 0.0001). QT/RR curvatures were related to QT/RR slopes but not to individually corrected mean QTc intervals or individual QT/RR hysteresis profiles. The individual heart rate correction formula derived from the curvilinear regression provided a significantly lower intrasubject variability of QTc interval than individual optimisation of linear or log-linear QT/RR heart rate corrections. The QT/RR curvature can be reliable measured and expressed numerically. The corresponding heart rate correction formula provides more compact data than the previously proposed approaches. There are substantial sex differences in QT/RR patterns. Women have a QT/RR pattern that is not only steeper than men but also more curved.

Relationship of QT interval variability to heart rate and RR interval variability.

The study investigated whether the beat-to-beat QT interval variability relationship to the mean heart rate and the RR interval variability depended on the cardiovascular autonomic status changed by postural positioning. Repeated long-term 12-lead Holter recordings were obtained from 352 healthy subjects (mean age 32.7 ± 9.1 years, 176 females) while they underwent postural provocative tests involving supine, unsupported sitting and unsupported standing positions. Each recording was processed as a sequence of overlapping 10-second segments. In each segment, the mean RR interval, the coefficients of variance of the RR intervals (RRCV) and the QT intervals (QTCV) were obtained. In each subject, these characteristics, corresponding to different postural positions, were firstly averaged and secondly used to obtain within-subject correlation coefficients between the different characteristics at different postural positions. While the within-subject means of RRCV generally decreased when changing the position from supine to sitting and to standing (4.53 ± 1.95%, 4.12 ± 1.51% and 3.26 ± 1.56% in females and 3.99 ± 1.44%, 4.00 ± 1.24% and 3.53 ± 1.32% in males respectively), the means of QTCV systematically increased during these position changes (0.96 ± 0.40%, 1.30 ± 0.56% and 1.88 ± 1.46% in females and 0.85 ± 0.30%, 1.13 ± 0.41% and 1.41 ± 0.59% in males, respectively). The intra-subject relationship between QTCV, RRCV and mean RR intervals was highly dependent on postural positions. The study concludes that no universally applicable normalization of the QT interval variability for the heart rate and/or the RR interval variability should be assumed. In future studies of the QT variability, it seems preferable to report on the absolute values of QT variability, RR variability and mean heart rate separately.

Importance of subject-specific QT/RR curvatures in the design of individual heart rate corrections of the QT interval.

OBJECTIVE: A statistical modelling study investigated whether incorporating the curvatures of QT/RR patterns into the individual-specific QT heart rate correction increases QTc data accuracy. METHODS: Repeated ECG readings were available from 4 different drug-free recordings made in 176+176 healthy female and male subjects (aged 32 ± 10 and 33 ± 8 years, respectively). In each subject, up to 1440 ECG readings were made of QT intervals and of the corresponding QT/RR hysteresis corrected RR intervals. The QT/RR patterns of each study participant was fitted with 12 different regression formulae that corresponded to differently curved physiologically plausible QT/RR profiles. In each subject, each of the regression fits was converted into a QT heart rate correction formula and the optimum model that fitted the data of the subject best was identified. Correction formulae were applied to modelled QT/RR data with RR intervals between 400 ms and 1600 ms. Differences in QTc intervals calculated by the correction formulae corresponding to the individually optimum QT/RR regression models and by the same type of regression in all study subjects were statistically summarised in females and males. RESULTS: Compared to the individually curvature optimised QTc heart rate correction formulae, formulae of the different regression models overestimated or underestimated the QTc values when applied on all study subjects. At RR of 500 ms, the model assuming linear QT/RR relationship led to errors of -5.01 ± 6.63 ms and of -4.80 ± 7.23 ms in females and males, respectively. At the same RR interval level, the model assuming the linear relationship between the logarithms of QT and RR intervals led to errors of +11.51 ± 6.36 ms and of +15.09 ± 7.61 ms in females and males, respectively. CONCLUSION: The differences in the curvatures of QT/RR patterns should be considered in the optimisation of subject-specific heart rate corrections. Forcing an arbitrary simple regression model on the QT/RR patterns of different subjects may lead to appreciable errors in QTc estimates. The frequently used linear and log-linear regression models were among the least precise if used without checking their appropriateness in individual subjects.

Population pharmacokinetic-pharmacodynamic analysis of vernakalant hydrochloride injection (RSD1235) in atrial fibrillation or atrial flutter.

Vernakalant hydrochloride is a novel, relatively atrial-selective antiarrhythmic agent that rapidly converts atrial fibrillation (AF) to sinus rhythm (SR). This analysis integrates pharmacokinetic (PK) and safety data from 5 clinical trials of patients with AF or atrial flutter (AFL). Patients were initially given a 10-min intravenous (IV) infusion of vernakalant 3 mg/kg or placebo. If SR was not evident after a 15-min observation, then a second 10-min IV infusion of vernakalant 2 mg/kg or placebo was given. Population pharmacokinetic/pharmacodynamic (PK/PD) models were constructed for QT interval prolongation corrected for heart rate by Fridericia's formula (QTcF) and for changes in systolic blood pressure (SBP). The exposure-response relationships for QTcF and SBP were best described by sigmoidal maximum-effect (E (max)) models. For QTcF, the model was characterized by a typical E (max) of 20.3 ms, and by a vernakalant median effective concentration dependent (EC50) on conversion status (4,222 ng/ml for patients converting to SR and 2,276 ng/ml for those remaining in AF/AFL). For SBP, the model was characterized by E (max) of 3.05 mmHg and EC50 of 1,141 ng/ml. Risk of hypotension (SBP <90 mmHg) was primarily associated with low baseline SBP and to a smaller extent with a history of congestive heart failure (CHF); plasma vernakalant concentrations showed a small contribution to the risk of hypotension (relative risk = 1.4 at 4,000 ng/ml), which may be significant with a baseline SBP of <105 mmHg. These results show that vernakalant had a smaller effect on QTcF in patients who demonstrated conversion to SR than those remaining in AF or AFL, and it had a relatively small effect on SBP.

Evaluation of the Effect of 5 QT-Positive Drugs on the JTpeak Interval - An Analysis of ECGs From the IQ-CSRC Study.

The JTpeak interval has been proposed as a new biomarker to demonstrate mixed ion channel effects, potentially leading to reduced late-stage electrocardiogram (ECG) monitoring for mildly QT-prolonging drugs. ECG waveforms from the IQ-CSRC study were used. Twenty healthy subjects were enrolled with 6 subjects on placebo and 9 subjects on each of 5 mildly QT-prolonging drugs - moxifloxacin, dofetilide, ondansetron, dolasetron, and quinine - and 1 negative drug, levocetirizine. A vector magnitude lead was derived from 12-lead ECGs, and measurements were made on a median beat from three 10-second replicates. Data were analyzed using a linear concentration-response model with QTcF and heart rate corrected JTpeak (JTpeak_c) as dependent variables. For moxifloxacin, dofetilide, and ondansetron, all pure hERG blockers, slopes of the concentration (C)-QTcF and C-JTpeak_c relationships were positive and statistically significant. With the prespecified linear model, the predicted effects on ΔΔQTcF and ΔΔJTpeak_c were 11.4 and 9.4 milliseconds for moxifloxacin at the geometric mean Cmax on day 1, 9.0 and 11.7 milliseconds for dofetilide and 11.5, and 7.9 milliseconds for ondansetron, respectively. In contrast, dolasetron and quinine, both with additional ion channel effects, prolonged QTcF with a positive C-ΔQTcF slope and predicted ΔΔQTcF effect on day 1 of 6.2 and 11.4 milliseconds, whereas the C-ΔJTpeak_c slope and the predicted ΔΔJTpeak on day 1 were negative (-0.3 and -7.5 milliseconds per ng/mL). Pure hERG-blocking drugs prolonged both the QTc and the JTpeak_c intervals, whereas drugs with mixed ion channel effects, including peak sodium inhibition, prolonged QTcF but not the JTpeak_c interval.

Pharmacokinetics of novel atrial-selective antiarrhythmic agent vernakalant hydrochloride injection (RSD1235): influence of CYP2D6 expression and other factors.

Vernakalant hydrochloride injection (RSD1235) is a relatively atrial-selective antiarrhythmic agent that converts atrial fibrillation rapidly to sinus rhythm. The pharmacokinetics of vernakalant were explored in healthy volunteers and in patients with atrial fibrillation or atrial flutter in 4 clinical studies. Key pharmacokinetic parameters analyzed were the maximum plasma concentration and the area under the plasma concentration-time curve. Vernakalant exhibited linear pharmacokinetics over the dose range of 0.1 mg/kg to 5.0 mg/kg in healthy subjects, and generally showed dose proportionality in patients with atrial fibrillation or atrial flutter who received 1 or 2 vernakalant infusions. Vernakalant was metabolized rapidly via 4-O-demethylation by cytochrome P450 (CYP)2D6 to its major metabolite RSD1385, which then circulated predominantly as an inactive glucuronide conjugate. In most patients, the maximum plasma concentration of RSD1385 glucuronide exceeded that of vernakalant. Unconjugated RSD1385 was found at low levels in all patients demonstrating either a cytochrome P450 CYP2D6 "extensive metabolizer" or "poor metabolizer" phenotype or genotype; however, CYP2D6 poor metabolizers had even lower levels of unconjugated RSD1385. The impact of CYP2D6 metabolizer status on vernakalant exposure was explored in patients with atrial fibrillation or atrial flutter who received a therapeutic regimen (3 mg/kg initially via 10-minute intravenous infusion followed by a second 2 mg/kg 10-minute infusion if atrial fibrillation persisted after a 15-minute observation period). In the subset that received 2 vernakalant infusions, there was little difference in vernakalant maximum plasma concentration or area under the plasma concentration-time curve from the start of the first infusion to 90 minutes between CYP2D6 poor metabolizers and extensive metabolizers or between those who did or did not receive concomitant CYP2D6-inhibitor medications. Gender, age, and renal function did not have a clinically significant influence on the pharmacokinetics of vernakalant. These results suggest that an assessment of CYP2D6 expression may not be needed when vernakalant is administered acutely and intravenously to patients with atrial fibrillation.

Population pharmacokinetics of micafungin in adult patients.

We performed population pharmacokinetic analysis of micafungin in adult patients treated with doses between 12.5 and 200 mg/day. Our analysis identified a breakpoint patient weight of 66.3 kg above which serum clearance increased by approximately 50%. Patients with weight >66.3 kg may need larger doses to achieve similar exposures to those <66.3 kg. However, the clinical implications are still unknown.

Pharmacokinetics of tacrolimus following topical application of tacrolimus ointment in adult and pediatric patients with moderate to severe atopic dermatitis.

OBJECTIVE: To characterize the pharmacokinetics of tacrolimus after topical application in adult and pediatric patients with moderate to severe atopic dermatitis from all clinical trials in which tacrolimus blood levels were obtained. METHODS: Tacrolimus ointment 0.03% or 0.1% was applied twice daily. In the adult and pediatric pharmacokinetic studies, serial blood samples were obtained after single and repeated topical application. During the 12 clinical efficacy trials of tacrolimus ointment, single blood samples were obtained at various times relative to tacrolimus ointment application. RESULTS: In the pharmacokinetic studies, 89% to 95% of tacrolimus whole blood concentration samples were less than 1 ng/mL; mean maximum concentrations ranged from 0.2 to 1.6 ng/mL and mean area under the blood concentration-time curves (0-12 hours) ranged from 1.4 to 13.1 ng x hr/mL. Likewise, in the clinical efficacy trials, the majority (85%-99%) of tacrolimus concentration samples were less than 1 ng/mL. CONCLUSIONS: Tacrolimus ointment is associated with minimal systemic absorption and no evidence of systemic accumulation in patients with moderate to severe atopic dermatitis and extensive disease.

The Effect of Verapamil, a P-Glycoprotein Inhibitor, on the Pharmacokinetics of Peficitinib, an Orally Administered, Once-Daily JAK Inhibitor.

Peficitinib is an orally administered, once-daily Janus kinase inhibitor currently in development for the treatment of rheumatoid arthritis. It has been shown to be a P-glycoprotein (P-gp) substrate in vitro. The effects of verapamil, an inhibitor of the efflux pump P-gp, on the pharmacokinetic profile of peficitinib were assessed in this open-label, single-center, single-sequence, crossover drug-interaction study. Twenty-four healthy volunteers received a single 150-mg dose of peficitinib on days 1 and 12 of a 14-day treatment period and received verapamil 80 mg 3 times daily on days 5-14. Repeated-dose administration of verapamil increased mean peficitinib AUCinf , AUClast , and Cmax by 27%, 27%, and 39%, respectively, and also increased the mean AUC and Cmax of peficitinib metabolites H1, H2, and H4. Coadministration of verapamil with peficitinib 150 mg was generally well tolerated. Overall, the most commonly reported adverse event was headache, which occurred in 5 subjects (21%); all reported adverse events were grade 1 severity, with the exception of 1 grade 2 incident of vomiting.

Drug Interactions Between Peficitinib, an Orally Administered, Once-Daily Janus Kinase Inhibitor, and Rosuvastatin in Healthy Subjects.

BACKGROUND AND OBJECTIVE: Peficitinib is an orally administered, once-daily Janus kinase inhibitor in development for the treatment of rheumatoid arthritis. Peficitinib and its major metabolite H2 inhibit the hepatic uptake transporter organic anion transporting polypeptide 1B1 (OATP1B1) in vitro. This article reports a clinical study evaluating the effects of peficitinib on the pharmacokinetics of rosuvastatin, a substrate for the OATP1B1 transporter, and vice versa. METHODS: In an open-label, single-sequence clinical study, 24 healthy adults of East Asian and non-East Asian origin received a single dose of rosuvastatin 10 mg on days 1 and 10. On days 5-13, subjects received a daily dose of 150 mg peficitinib. Serial blood samples for pharmacokinetic assessment of rosuvastatin were collected up to 96 h post-dose on days 1 and 10, and for peficitinib were collected up to 24 h post-dose on days 9 and 10. RESULTS: Co-administration of peficitinib with rosuvastatin increased rosuvastatin area under the concentration-time curve (AUC) and maximum plasma concentration (C max) by 18 and 15%, respectively and increased peficitinib AUC and C max by 16 and 28%, respectively. In East Asian (n = 6) vs. non-East Asian subjects (n = 18), peficitinib mean AUC for a dosing interval was 45 and 21% higher, and mean C max was 67 and 34% higher, when administered alone or with rosuvastatin. Peficitinib was well tolerated with few adverse events overall. CONCLUSION: In this study, once-daily oral administration of peficitinib had no clinically significant effect on the pharmacokinetics of rosuvastatin, a probe substrate for OATP1B1. Therefore, it is unlikely that peficitinib will have a clinically significant effect on the exposure of other substrates for OATP1B1. CLINICALTRIALS. GOV NUMBER: NCT01959399.

Can Bias Evaluation Provide Protection Against False-Negative Results in QT Studies Without a Positive Control Using Exposure-Response Analysis?

The revised ICH E14 document allows the use of exposure-response analysis to exclude a small QT effect of a drug. If plasma concentrations exceeding clinically relevant levels is achieved, a positive control is not required. In cases when this cannot be achieved, there may be a need for metrics to protect against false-negative results. The objectives of this study were to create bias in electrocardiogram laboratory QT-interval measurements and define a metric that can be used to detect bias severe enough to cause false-negative results using exposure-response analysis. Data from the IQ-CSRC study, which evaluated the QT effect of 5 QT-prolonging drugs, were used. Negative bias using 3 deterministic and 2 random methods was introduced into the reported QTc values and compared with fully automated data from the underlying electrocardiogram algorithm (COMPAS). The slope estimate of the Bland-Altman plot was used as a bias metric. With the deterministic bias methods, negative bias, measured between electrocardiogram laboratory values and COMPAS, had to be larger than approximately -20 milliseconds over a QTcF range of 100 milliseconds to cause failures to predict the QT effect of ondansetron, quinine, dolasetron, moxifloxacin, and dofetilide. With the random methods, the rate of false-negatives was ≤5% with bias severity < -10 milliseconds for all 5 drugs when plasma levels exceeded those of interest. Severe and therefore detectable bias has to be introduced into reported QTc values to cause false-negative predictions with exposure-response analysis.