Study type

Study type

Non-interventional study

Scope of the study

Other

If ‘other’, further details on the scope of the study

Provide real-world evidence data on use of Palynziq in PKU
Non-interventional study

Non-interventional study design

Other

Non-interventional study design, other

Observational study on routine clinical practice
Study drug and medical condition

Name of medicine

PALYNZIQ

Anatomical Therapeutic Chemical (ATC) code

(A16AB19) pegvaliase
pegvaliase

Medical condition to be studied

Phenylketonuria
Population studied

Age groups

Adolescents (12 to < 18 years)
Adults (18 to < 46 years)
Adults (46 to < 65 years)
Adults (65 to < 75 years)
Adults (75 to < 85 years)
Adults (85 years and over)

Special population of interest

Pregnant women

Estimated number of subjects

150
Study design details

Main study objective

The efficacy and safety of Pegvaliase has been established in clinical trials as required for regulatory approval. There remains an important need to provide data to prescribers and the phenylketonuria (PKU) community on the real-world usage of Pegvaliase and associated outcomes to support clinical practice optimisation and provide greater understanding of important clinical issues in PKU.

Outcomes

To evaluate outcomes achieved with Pegvaliase in a real-world setting as measured by blood phenylalanine (Phe) level over time. Describe: dosing intervals and dosing of Pegvaliase in each phase of treatment and length of titration phase, reported MNT in each treatment phase, relationship between changes in reported MNT and blood Phe, co-medications of interest used in each treatment phase, impact of blood Phe on subjects' wellbeing and health-related Quality of Life and impact of blood Phe on socioeconomic parameters.

Data analysis plan

Data will be collected from patients who are receiving Pegvaliase as part of their routine clinical care undertaken by their PKU treating physician. No formal hypothesis testing or inference will be made. The study will use descriptive summary statistics and various statistical analysis methods for longitudinal, repeated measures data for estimation and summarisation of outcomes, including statistical modelling and graphical methods.