Study type

Study type

Non-interventional study

Scope of the study

Drug utilisation
Effectiveness study (incl. comparative)
Non-interventional study

Non-interventional study design

Cohort
Study drug and medical condition

Medical condition to be studied

Transplant
Population studied

Age groups

Preterm newborn infants (0 – 27 days)
Term newborn infants (0 – 27 days)
Infants and toddlers (28 days – 23 months)
Children (2 to < 12 years)
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

Hepatic impaired
Renal impaired

Estimated number of subjects

7000
Study design details

Main study objective

1. To describe the prescriptive patterns of immunosuppressive drug regimens in different transplant settings (kidney, lung, liver, heart) used in maintenance phase and identify patient characteristics associated to these patterns in the four Italian regions 2. To compare the risk-benefit profile of different immunosuppressive therapeutic regimens in transplant patients

Outcomes

Transplant rejection, organ survival, use of steroids or immunoglobulin or antibodies for acute rejection, overall mortality, infections, diabetes incidence, cancer incidence (including skin cancer and lymphoma), hypertension incidence,incident statin use, Use of health care services, adverse drug reactions, lymphoproliferative disease, hyperglycemia, magnesium metabolism disorders, recurrence of HCV

Data analysis plan

Data will be organised and managed through a common data model. Analysis will be performed running the shared scripts at local level and pooling aggregated data at the end. Drug utilization will be defined on the basis of DDDs. CER will be performed through both a multivariate models and a propensity matched cohort design (head-to-head comparison between different drug groups/drugs). Patients in the compared exposure groups will be propensity matched. Intention-to-treat and As-treated analyses will be performed using Cox proportional Hazard models (HRs and 95%CIs).