Study type

Study topic

Disease /health condition
Human medicinal product

Study type

Non-interventional study

Scope of the study

Drug utilisation

Data collection methods

Secondary use of data
Non-interventional study

Non-interventional study design

Cohort
Study drug and medical condition

Study drug International non-proprietary name (INN) or common name

ROMIPLOSTIM

Medical condition to be studied

Immune thrombocytopenia
Population studied

Short description of the study population

Adult patients within the United Kingdom Immune Thrombocytopenia (UKITP) Registry diagnosed with primary Immune Thrombocytopenia (ITP) and who had received at least 1 dose of romiplostim after launch in the United Kingdom in October 2009.

Age groups

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

Other

Special population of interest, other

Immune thrombocytopenic purpura patients

Estimated number of subjects

130
Study design details

Main study objective

· Describe the demographic and clinical characteristics of patient who have received romiplostim at the time of romiplostim initiation.
· Describe ITP medication use since diagnosis and platelet counts prior to and post-romiplostim initiation in the study population.

Outcomes

Demographic (sex, age, ethnicity) and clinical characteristics (specific comorbidities, diagnosis details) will be described using descriptive statistics.
ITP therapies since diagnosis will be described and platelet counts at romiplostim initiation and after will be summarised.
The pattern of romiplostim administration will be described.Rate of bleeding events, hospitalisations and use of rescue medications will also be described

Data analysis plan

The data analysis for this study will be descriptive in nature.
Endpoints/variables of a binary nature, will be summarised as a proportion. Endpoints/variables of a continuous nature will be summarized using the mean, standard deviation, median and interquartile range, minimum and maximum value.
For measuring rate of events of interest in person-time, the number of events during thetime at risk will be divided by the total person-time at risk. 95% confidence interval (Poisson) will be generated for each estimate.
Documents
Study results
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