Evaluation of a Drug Induced-QT/QTc Prolongation in the …€¦ · d i d i ( ) ( ) Δ = − _ QTc...

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Jianguo Li, PhD , Bruce Birmingham, PhD, Rogelio, Mosqueda-Garcia, MD, PhD, Nick Sander, MS*, Paul, Newbold, MD*, and Philip Sager, MD, AstraZeneca R&D in Wilmington, *: AstraZeneca R&D in Charnwood Evaluation of a Drug Induced-QT/QTc Prolongation in the Presence of the Drug Induced Changes in Heart Rate by Using Population PK/PD Modeling Approach: Sibenadet Experience.

Transcript of Evaluation of a Drug Induced-QT/QTc Prolongation in the …€¦ · d i d i ( ) ( ) Δ = − _ QTc...

Page 1: Evaluation of a Drug Induced-QT/QTc Prolongation in the …€¦ · d i d i ( ) ( ) Δ = − _ QTc t QTc t QTc t d Baseline i ( ) d: drug p: placebo • PK/PD modeling approach ¾Based

Jianguo Li, PhD, Bruce Birmingham, PhD, Rogelio, Mosqueda-Garcia, MD, PhD, Nick Sander, MS*, Paul,

Newbold, MD*, and Philip Sager, MD, AstraZeneca R&D in Wilmington, *: AstraZeneca R&D in Charnwood

Evaluation of a Drug Induced-QT/QTc Prolongation in the Presence of the

Drug Induced Changes in Heart Rate by Using Population PK/PD Modeling

Approach: Sibenadet Experience.

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ABSTRACT

BACKGROUND: Traditional statistical analysis suggested that sibenadet prolongs QTc despite no support from its mechanism of action (β2-adrenoceptor/dopamine D2-receptor agonist) and pre-clinical findings. This study compares the difference between the use of biostatistical and population PK/PD modeling approaches to evaluate if sibenadet induced QTc prolongation in addition to its impacts on heart rate.

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METHODS: 32 subjects were enrolled into a placebo-controlled, randomized, single-blind, 4-way crossover study to investigate the effects of multiple dosing of 3 doses of sibenadet (250 μg, 500 μg, 750/1000 μg) or placebo on ECG parameters. Data from 16 subjects completing day 1 of the multiple dosing study were used for the data analysis. Mean and 95% one-sided CI for baseline and placebo subtracted QTc were calculated by two different baseline (pre-treatment and pre-period baseline), and five heart rate correction methods (Bazett, Fridericia, study-specific correction using pre-treatment

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baseline ECGs only, study-specific and subject-specific correction using pre-period baseline and placebo ECGs). Population PK/PD modeling was conducted by simultaneously analyzing QT, RR and sibenadet concentration with NONMEM software. Sibenadet dose was modeled as a covariate of the correction factor to evaluate corrector change among different doses.

RESULTS: The maximum upper bound of the 95 % one-sided CI across sampling times exceed 10 ms for all different baselines and different correction factors for all three sibenadet doses by biostatistical analysis. The population mean

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correction factor estimated in 750/1000 μg dose group was 29% higher than the rest of dose groups and no significant slope for QTc and sibenadet concentration was identified by population PK/PD modeling approach.

CONCLUSION: The population PK/PD modeling approach demonstrated no QTc prolongation for sibenadet, consistent with the mechanism of its action and pre-clinical findings.

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BACKGROUND• Sibenadet

a β2-adrenoceptor/dopamine D2-receptor agonist

mechanistically increases heart rate but has no direct impact on cardiac repolarization

− Confirmed by extensive in vitro and in vivo pre-clinical studies

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A clinical study to investigate the potential of QTc interval prolongation of sibenadet

− 4-way cross-over study in placebo, 250, 500, and 750/1000 ug dose

− ECG data every 20 minutes starting around 8:00 AM for 14.50 hours on day 0 of visit 3 at resting status

− Extensive ECG and PK data (>14 samples ) on day 1 and day 4 at visit 3-6

Visit 1 Visit 2 Visit 3 Visit 4 Visit 5 Visit 6

Study day

Screening Exercise grading test

Placebo, 250, 500 or 1000 μg

0,1, 2, 3, 4 1, 2, 3, 4 1, 2, 3, 4 1

Placebo, 250, 500 or 1000 μg

Placebo, 250, 500 or 750/1000 μg

Placebo, 250, 500 or 750 μg

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Correction factor changed between exercise and rest

Newbold et al, Lack of correlation between exercise and sibenadet-induced changes in heart rate corrected rate corrected measurement of the QT interval, Br. J Clin Pharmacol, 63:3, 79/287, 2007

Correction Heart Range Mean Median Range of r2 Mean r2

Factor Rate

QTcX 47-153 0.28–0.54 0.40 0.39 0.85–0.98 0.93

QTcR 40-89 0.12–0.51 0.27 0.26 0.10–0.93 0.52

QTcX = a subject-specific correction method from exercise aloneQTcR = a subject-specific correction factor from resting day only

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Time, hr

Hea

rt ra

te, b

eat/m

im

0 2 4 6

5560

6570

7580

1

1

1

11

11

1

1

11

11

1

22

2

2

22

2

2

2 2 2

2 2 2

3 3

3

33

33 3

3

3 3

33

3

4 4

4

4

44

4

44

4

4

4

4

4

Mean Hear Rate (1: Placebo, 2: W mg, 3: 2W mg, 4: 3W mg)

Time, hr

QT,

mse

c

0 2 4 6

380

390

400

410

420

430

1

11

111

1

1

1 1

1

11

1

2 2

2

222 2 2

2 2 22 2

2

33

33

3

3

3

3

3

3 33 3 3

4 4

4

444

4

4 4

4

4

4

44

Mean QT interval (1: Placebo, 2: W mg, 3: 2W mg, 4: 3W mg)

Significant increase in heart rate for the 3 sibenadet dose groups

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Purpose of the study

− Examine the difference in concluding the QTc prolongation between using ICH14 statistical method and PK/PD modeling approach

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METHOD• ICH14 Biostatistical method

Two-stage method−The first-stage: Correct the heart rate effect on QT to obtain QTc

Bazett correction: QTc=QT/RR0.5

Fridericia correction: QTc=QT/RR0.33

Study-specific correction (QTcM)

Subject (individual) -specific correction (QTcI)

etc.

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−The second-stage: analyze the QTc data by ΔΔQTc method

)()()( ipidi tQTctQTctQTc Δ−Δ=ΔΔ

)()()( _ iBaselinepipip tQTctQTctQTc −=Δ

− Assessment of QTc interval prolongation

Mean and 95% CI one-sided upper limit at each sampling point

A positive QT study: the maximum 95% CI one-sided upper limit of ΔΔQTc(ti)>10 msec

)()()( _ iBaselinedidid tQTctQTctQTc −=Δ

d: drug p: placebo

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• PK/PD modeling approach

Based on a criterion of good correction factor

− Lack of correlation between QTc and RR

400 600 800 1000 1200 1400

RR, msec

QT

c, m

sec

QTc

, mse

c

QTc

, mse

c

RR, msec

Individual Naïve pooling

365

370

375

380

385

390

395

400

405

410

800 850 900 950 1000 1050 1100 1150 1200

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Drug free− QTc= QT/ RR β = α + ε ε ~N(0, σ2)

− QT=(α + ε ) •RR β

− Equivalent to QT= α •(RR) β + ε • (RR) β

* Not a typical residual error model

On-treatment− QTc= QT/ RR β = [α +f(drug)] + ε ε ~N(0, σ2)

− QT= ( [α +f(drug)] + ε ) •RR β ε ~N(0, σ2)

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QT= ( α + ε ) •RR

Offer an approach to handle situations where the drug changes either the correction factor, QT or both of them

Drug

β

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RESULTS

Time, hr

QTc

B p

rolo

ngat

ion,

mse

c

0 1 2 3 4 5 6

020

40

-

-

-

-

--

-- -

- -

-

-

-

-

-

--

-- -

- -

-

250 mg

Time, hr

0 1 2 3 4 5 6

020

40

-

-

---

-

- - -

--

-

-

-

---

-

- - -

--

-

500 mg

Time, hr

0 1 2 3 4 5 60

2040

---

-

--- -

- -

-

-

---

-

- -- -

- -

-

-

750/1000 mg

• ICH14 Biostatistical analysis using pre-study-period baseline

QTcB

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QTcF

Time, hr

QTc

F pr

olon

gatio

n, m

sec

0 1 2 3 4 5 6

-20

-10

010

2030

-

--

-

-

--

- -

- -

-

-

--

-

-

--

- -

- -

-

250 mg

Time, hr

0 1 2 3 4 5 6

-20

-10

010

2030

--

---

-

- --

--

-

--

---

-

- --

--

-

500 mg

Time, hr

0 1 2 3 4 5 6

-20

-10

010

2030

-

--

-

---

-

- -

-

-

-

--

-

---

-

- -

-

-

750/1000 mg

Page 18: Evaluation of a Drug Induced-QT/QTc Prolongation in the …€¦ · d i d i ( ) ( ) Δ = − _ QTc t QTc t QTc t d Baseline i ( ) d: drug p: placebo • PK/PD modeling approach ¾Based

QTcS

Time, hr

QTc

S p

rolo

ngat

ion,

mse

c

0 1 2 3 4 5 6

-20

-10

010

20

-

--

--

--

- -

- -

-

-

--

--

--

- -

- -

-

250 mg

Time, hr

0 1 2 3 4 5 6

-20

-10

010

20--

---

-

- --

--

-

--

---

-

- --

--

-

500 mg

Time, hr

0 1 2 3 4 5 6

-20

-10

010

20

-

------

-- -

-

-

-

-----

--

- -

-

-

750/1000 mg

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QTcI

Time, hr

QTc

I pro

long

atio

n, m

sec

0 1 2 3 4 5 6

-20

-10

010

20

-

--

-

-

--

- -- -

-

-

--

-

-

--

- -- -

-

250 mg

Time, hr

0 1 2 3 4 5 6

-20

-10

010

20--

---

-

- --

--

-

--

---

-

- --

--

-

500 mg

Time, hr

0 1 2 3 4 5 6

-20

-10

010

20

-

------

-

- -

-

-

-

-----

--

- -

-

-

750/1000 mg

Page 20: Evaluation of a Drug Induced-QT/QTc Prolongation in the …€¦ · d i d i ( ) ( ) Δ = − _ QTc t QTc t QTc t d Baseline i ( ) d: drug p: placebo • PK/PD modeling approach ¾Based

• ICH14 Biostatistical analysis using pre-treatment baseline

Similar results to pre-study-period baseline were obtained for QTcB, QTcF, QTcS and QTcI

Positive QTc prolongation for different baseline and different correction strategy

Page 21: Evaluation of a Drug Induced-QT/QTc Prolongation in the …€¦ · d i d i ( ) ( ) Δ = − _ QTc t QTc t QTc t d Baseline i ( ) d: drug p: placebo • PK/PD modeling approach ¾Based

• PK/PD modeling: simultaneous analysis of QT, RR and sibenadet concentrations

QT= ( QTc0 + Slope*Conc + ε ) •RR β

Parameter Estimates of the Final Model

Parameters (Units) Description Estimate a % Relative Standard Error,

Fixed Effect

θ1: TQTC0 (msec) Population mean baseline QTc 414 2

θ2: TBETA Population mean correction factor 0.193 19

θ3: TBETA_TRT4 Percent increase in population mean correction factor for 750/1000 mg dose

29% 15

θ4: TSLOPE (msec/(ng/ml))

Population mean slope of drug effect 0.622 76

Random Effects: Between subject variability (BSV)

ω1,1: BTQTC Variance of BSV in baseline QTc 511 (22.6) 61

ω2,2: BBETA Variance of BSV in correction factor 0.0073 (0.085) 58

ω3,3: BSLOPE Variance of BSV in slope of the drug effect 3.85 (1.96) 89

Random Effects: Residual Error

σ11: Additive residual error 136 (11.7) 4

Page 22: Evaluation of a Drug Induced-QT/QTc Prolongation in the …€¦ · d i d i ( ) ( ) Δ = − _ QTc t QTc t QTc t d Baseline i ( ) d: drug p: placebo • PK/PD modeling approach ¾Based

• PK/PD model predicted 90% CI of QTcI interval prolongation

less than 10 msec increase in the 95% one-sided upper CI relative to the intercept

Sibenadet concentration, ng/ml

QTc

I, m

sec

0 2 4 6 8 10

350

400

450

500

250 mg 500 mg 750/1000 mg

Intercept+10

Page 23: Evaluation of a Drug Induced-QT/QTc Prolongation in the …€¦ · d i d i ( ) ( ) Δ = − _ QTc t QTc t QTc t d Baseline i ( ) d: drug p: placebo • PK/PD modeling approach ¾Based

• ICH14 statistical method showed a positive QTc prolongation regardless the baseline QTc and correction method selected in the analysis

• Population PK/PD modeling approach allowing the correction factor to change between placebo and active treatments demonstrated no QTc prolongation for sibenadet, consistent with the mechanism of its action and the findings from extensive pre-clinical studies

SUMMARY

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ACKNOWLEDGMENT• AstraZeneca CIS

− Yusong Chen, PhD− Pat Mitchell, MA− Rick Caplan, PhD− Chris Miller, PhD

• AstraZeneca QT review/Arrhythmia group− Philip Sager, MD (CardioDX, Inc)− Corina Dota, MD− Eric Michelson, MD− Alan Hollister, MD, PhD

• AstraZeneca Clinical Pharmacology and DMPK− Bruce Birmingham, PhD − Rogelio Mosqueda-Garcia, MD, PhD− Barbara Ewing, PhD

Page 25: Evaluation of a Drug Induced-QT/QTc Prolongation in the …€¦ · d i d i ( ) ( ) Δ = − _ QTc t QTc t QTc t d Baseline i ( ) d: drug p: placebo • PK/PD modeling approach ¾Based

REFERENCE • Guidance for Industry: E14 Clinical Evaluation of QT/QTc Interval Prolongation and proarrhythmia Potential for Non-Antiarrhythmic Drugs

• Newbold et al, Lack of correlation between exercise and sibenadet-induced changes in heart rate corrected rate corrected measurement of the QT interval, Br. J Clin Pharmacol, 63:3, 79/287, 2007

• Garnett et al, Concentration-QT Relationships Play a Key Role in the Evaluation of Proarrhythmic Risk During Regulatory Review, J. Clin. Pharmacol. 2008; 48; 13