Automated method for detecting increases in frequency of spontaneous adverse event reports over time.

A statistical methodology--focused on temporal change detection--was developed to highlight excursions from baseline spontaneous adverse event (AE) reporting. We used regression (both smooth trend and seasonal components) to model the time course of a drug's reports containing an AE, and then compared the sum of counts in the past 2 months with the fitted trend. The signaling threshold was tuned, using retrospective analysis, to yield acceptable sensitivity and specificity.

Developing tools for the safety specification in risk management plans: lessons learned from a pilot project.

Purpose: Following the adoption of the ICH E2E guideline, risk management plans (RMP) defining the cumulative safety experience and identifying limitations in safety information are now required for marketing authorisation applications (MAA). A collaborative research project was conducted to gain experience with tools for presenting and evaluating data in the safety specification. This paper presents those tools found to be useful and the lessons learned from their use.

Patterns of comorbidities in newly diagnosed COPD and asthma in primary care.

Study Objectives: There is increasing interest in the frequency and nature of comorbidities in patients with obstructive lung disease: COPD and asthma. We aimed to quantify baseline rates of comorbidities in COPD and asthma patients and to compare the risks to the general population.

Design, Setting, And Participants: Within the UK General Practice Research Database, we compared incident patients with COPD (n = 2,699) and asthma (n = 7,931) physician diagnosed in 1998 with age, gender, time, and practice-matched cohorts.