Study type

Study type

Non-interventional study

Scope of the study

Assessment of risk minimisation measure implementation or effectiveness
Non-interventional study

Non-interventional study design

Case-control
Study drug and medical condition

Anatomical Therapeutic Chemical (ATC) code

(N02) ANALGESICS
ANALGESICS

Medical condition to be studied

Agranulocytosis
Population studied

Age groups

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

1200
Study design details

Main study objective

The main objective is to estimate the risk of Agranulocytosis associated to several drugs.

Outcomes

Odds ratios are calculated after controlling for confounding by applying a multiple logistic regression model, including potential known confounders and drug terms. Case-fatality rate for drugs showing odds ratio values significantly higher than one, population attributable risks are calculated from the odds ratio.

Data analysis plan

The analysis is performed with an unconditional and conditional multiple logistic regression model.For increasing statistical power for risk estimation associated with drugs having a low prevalence of use, the analysis is done with all the cases for which information on drug exposures is available, and their respective controls of agranulocytosis. The model included sex, age, and interviewer as additional terms. Drug exposures are considered in different ways. The main analysis refers to any exposure during the week before the index day, this definition of exposure is decided after taking into account that for most of the cases of agranulocytosis, the time elapsed from injury of the bone marrow or of peripheral neutrophils to the appearance of the initial symptoms of infection is usually less than 7 days. The following 2 additional confirmatory analyses are performed: one, with the aim of exploring possible information bias, and the other, to evaluate protopathic bias.