Study type

Study topic

Human medicinal product
Disease /health condition

Study type

Non-interventional study

Scope of the study

Other

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

Case series review of Pharmacovigilance Data

Data collection methods

Secondary use of data
Non-interventional study

Non-interventional study design

Other

Non-interventional study design, other

Case-series, Probabilistic phenotyping with Machine Learning
Study drug and medical condition

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

FLUOROURACIL
CAPECITABINE
TEGAFUR
FLUCYTOSINE

Medical condition to be studied

Dihydropyrimidine dehydrogenase deficiency

Additional medical condition(s)

Dihydropyrimidine dehydrogenase deficiency related toxicity
Population studied

Short description of the study population

Case reports to fluorouracil and related substances in EudraVigilance that could have resulted from dihydropyrimidine dehydrogenase deficiency (DPD).

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)

Estimated number of subjects

126890
Study design details

Main study objective

To identify and describe case reports to fluorouracil and fluorouracil related substances and, To identify and characterise case reports to these products where dihydropyrimidine dehydrogenase deficiency (DPD) was also reported.

Data analysis plan

Descriptive statistics was performed by substance, age, gender, indication for use, origin of reports, reaction and outcome for all case reports. Cases were highlighted according to whether they refer to a DPD patient or mention any term within the toxicity spectrum. Where feasible, boxplots of time to onset were plotted and stratified by product and indication for use. In addition, the proportion of cases with life-threatening or fatal reactions amongst DPD patients and those with DPD toxicity spectrum reactions was compared as were the proportions of cases with immediate (1 - 2 days), short (3 – 21 days) and long (> 21 days) time-to-onset for DPD patients and those with DPD toxicity spectrum reactions. To estimate the number of likely DPD related cases, machine learning models were be run deployed. These identify patterns in the terms reported to DPD patients and detect similar patterns in cases were DPD status is unknown.