Study to Define Optimal IGF-1 Monitoring in Children Treated With NutropinAq

The influence of daily and weekly timing on the IGF-I value as measured using the capillary blood spot method was analysed. A 3-way analyses of variance (ANOVA) was performed with patient, day and daily timing as factors after appropriate transformation to obtain normally distributed parameters. The interaction day\*time was tested and kept in the model only if p-value\<0.1. Parameter estimates from the statistical model are presented as least squares means for the categories of daily timing (Morning and Evening) and weekly timing (Week 21, Week 22 and Week 23). The values reported for Week 21, 22, and 23 represent the average IGF-I levels from the morning and evening samples at each week. The values reported for Evening represent the Evening IGF-I levels averaged across Weeks 21, 22, and 23, and similarly for the Morning values.

The influence of sex and prepubertal status on the IGF-I value as measured using the capillary blood spot method was analysed. Parameter estimates from the statistical model are presented as least squares means for the categories of sex (male and female) and prepubertal status (pubertal and prepubertal). The values reported represent average IGF-I levels as determined from the 6 measurements taken (i.e. morning and evening samples at Weeks 21, 22 and 23).

A multivariate linear regression analysis of factors on within-subject coefficient of variation (WCV) using a stepwise forward-backward elimination was used to determine the effect of individual factors on IGF-I values as measured using the capillary blood spot method (p=0.15 for a variable to enter and remain in the model). The WCV was computed from the series of 6 measurements (2 samplings in each of Weeks 21, 22 and 23). The influence of disease condition and country clusters on the IGF-I value were assessed. Country clusters: cluster 1: France; cluster 2: Spain, Greece, Romania and Italy; cluster 3: UK, Belgium, Czech Republic, Denmark, Germany, Slovakia, Austria and Finland ; cluster 4: Russia ; cluster 5: Ukraine. Parameter estimates from the statistical model presented as least squares means for categories of disease condition (GHD and TS) and location (Clusters 1, 2, 3, 4 and 5) are presented.

A multivariate linear regression analysis of factors on WCV using a stepwise forward-backward elimination was used to determine the effect of individual factors on IGF-I values as measured using the capillary blood spot method (p=0.15 for a variable to enter and remain in the model). The WCV was computed from the series of 6 measurements (2 samplings in each of Weeks 21, 22 and 23). The influence of the time of the year (1st, 2nd, 3rd and 4th quarters), calculated age at enrolment and disease condition on the IGF-I value were assessed. Parameter estimates from the statistical model are presented as least squares means for the categories of time of the year (1st, 2nd, 3rd and 4th quarters), calculated age at enrolment and disease condition (GHD and TS).

3 simultaneous IGF-I measurements were taken at Weeks 0 (baseline), 12 and 24 by serum and capillary assay to determine the precision profile of the capillary blood spot method versus the serum IGF-I assay. Change from baseline at Week 24 in the IGF-I measurements by capillary blood spot method and serum assay are presented.

The LWPES recommends that treatment for any indication with recombinant GH therapy in children be accompanied by regular monitoring of IGF-I and IGFBP3 concentrations. IGFBP3 binds circulating IGF-I and serum samples were taken at Visit 1 (Week 0), Visit 2 (Week 12) and Visit 3 (Week 24) in order to measure IGFBP3. Change from baseline (Visit 1) at Visits 2 and 3 in IGFBP3 is presented.

The auxological parameter, height, was measured at Visit 1 (Baseline measurement), Visit 2 (Week 12) and Visit 3 (Week 24). Change from baseline in measured height at Visit 3 (Week 24) for the overall ITT population is presented.

The auxological parameter, height, was measured at Visit 1 (Baseline measurement), Visit 2 (Week 12) and Visit 3 (Week 24). The French growth charts were used for the calculation of SDS parameters: the charts provide for each age range and sex a mean parameter and SD value, from which the SDS parameter can be derived assuming a normal distribution. For example: Height SDS = (height - reference mean height (age, sex)) / reference SD (age, sex). The SDS indicates the number of standard deviations away from the mean. A SDS of 0 is equal to the mean with negative numbers indicating values lower than the mean and positive values higher. A positive change in SDS indicates an improvement in growth, therefore, a favorable outcome. Change from baseline in the calculated height SDS at Visit 3 (Week 24) for the overall ITT population is presented.

The auxological parameter, weight, was measured at Visit 1 (Baseline measurement), Visit 2 (Week 12) and Visit 3 (Week 24). Change from baseline in measured weight at Visit 3 (Week 24) for the overall ITT population is presented.

The auxological parameter, weight, was measured at Visit 1 (Baseline measurement), Visit 2 (Week 12) and Visit 3 (Week 24). The French growth charts were used for the calculation of SDS parameters: the charts provide for each age range and sex a mean parameter and SD value, from which the SDS parameter can be derived assuming a normal distribution. For example: Weight SDS = (weight - reference mean weight (age, sex)) / reference SD (age, sex). The SDS indicates the number of standard deviations away from the mean. A SDS of 0 is equal to the mean with negative numbers indicating values lower than the mean and positive values higher. A positive change in SDS indicates an improvement in weight, therefore, a favorable outcome. Change from baseline in the calculated weight SDS at Visit 3 (Week 24) for the overall ITT population is presented.

The auxological parameter, annualised growth velocity, was measured at Visit 1 (Baseline measurement), Visit 2 (Week 12) and Visit 3 (Week 24). Change from baseline in the measured annualised growth velocity at Visit 3 (Week 24) for the overall ITT population is presented.

The auxological parameter, annualised growth velocity, was measured at Visit 1 (Baseline measurement), Visit 2 (Week 12) and Visit 3 (Week 24). The French growth charts were used for the calculation of SDS parameters: the charts provide for each age range and sex a mean parameter and SD value, from which the SDS parameter can be derived assuming a normal distribution. For example: Annualised GV SDS = (annualised GV - reference mean annualised GV (age, sex)) / reference SD (age, sex). The SDS indicates the number of standard deviations away from the mean. A SDS of 0 is equal to the mean with negative numbers indicating values lower than the mean and positive values higher. A positive change in SDS indicates an improvement in growth velocity, therefore, a favorable outcome. Change from baseline in the annualised growth velocity SDS at Visit 3 (Week 24) for the overall ITT population is presented.

The acceptability was evaluated by a questionnaire at Month 5. The users (parents and/or child) of NutropinAq pen and compliance aid booklet were asked to describe and rate the pen, cartridge, compliance aid booklet and their ease of use. The percentage of patients responding to each category for the assessment of the overall handling of the NutropinAq pen are presented. The categories are: Very easy, Easy, Moderately difficult, Difficult, Very difficult and Missing.

It was intended that the posology (mg/kg/day) of NutropinAq would remain constant throughout the study. The mean posology adopted at Visit 1 is presented.

The extent of treatment exposure throughout the study is presented as the mean number of daily injections performed.