Application of Healthcare 'Big Data' in CNS Drug Research: The Example of the Neurological and mental health Global Epidemiology Network (NeuroGEN)

Neurological and psychiatric (mental health) disorders have a large impact on health burden globally. Cognitive disorders (including dementia) and stroke are leading causes of disability. Mental health disorders, including depression, contribute up to one-third of total years lived with disability. The Neurological and mental health Global Epidemiology Network (NeuroGEN) is an international multi-database network that harnesses administrative and electronic medical records from Australia, Asia, Europe and North America. Using these databases NeuroGEN will investigate medication use and health outcomes in neurological and mental health disorders. A key objective of NeuroGEN is to facilitate high-quality observational studies to address evidence-practice gaps where randomized controlled trials do not provide sufficient information on medication benefits and risks that is specific to vulnerable population groups. International multi-database research facilitates comparisons across geographical areas and jurisdictions, increases statistical power to investigate small subpopulations or rare outcomes, permits early post-approval assessment of safety and effectiveness, and increases generalisability of results. Through bringing together international researchers in pharmacoepidemiology, NeuroGEN has the potential to be paradigm-changing for observational research to inform evidence-based prescribing. The first focus of NeuroGEN will be to address evidence-gaps in the treatment of chronic comorbidities in people with dementia

Risk of fractures in patients with multiple sclerosis: a population-based cohort study.

OBJECTIVE: To examine the risk of fracture in patients with multiple sclerosis (MS) compared with population-based controls. METHODS: A population-based cohort study was performed in the Dutch PHARMO Record Linkage System (1998-2008). Patients with MS (n = 2,415) were matched by year of birth, sex, and practice to up to 6 patients without MS (controls). We used Cox proportional hazards models to estimate the hazard ratio (HR) of fracture in MS. Time-dependent adjustments were made for age, history of disease, and drug use. RESULTS: During follow-up, there were 59 fractures among patients with MS (2.4%) and 227 fractures among controls (1.8%). Patients with MS had a 1.7-fold increased risk of osteoporotic fracture (HR 1.73 [95% confidence interval (CI) 1.18-2.53]) and a 4-fold increased risk of hip fracture (HR 4.08 [95% CI 2.21-7.56]). The risk of osteoporotic fracture was significantly greater for patients with MS who had been prescribed antidepressants (HR 3.25 [95% CI 1.77-5.97]) or hypnotics/anxiolytics (HR 3.40 [95% CI 2.06-5.63]) in the previous 6 months, compared with controls. CONCLUSIONS: Increased awareness of the risk of hip fracture is warranted in patients with MS, especially in those who have recently been prescribed antidepressants or hypnotics/anxiolytics