English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The occurrence of drug-drug-interactions (DDI) from multiple drugdispensations is a serious problem, both for individuals and health-caresystems, since patients with complications due to DDI are likely to reenter thesystem at a costlier level. We present a large-scale longitudinal study (18months) of the DDI phenomenon at the primary- and secondary-care level usingelectronic health records (EHR) from the city of Blumenau in Southern Brazil(pop. $\approx 340,000$). We found that 181 distinct drug pairs known tointeract were dispensed concomitantly to 12\% of the patients in the city'spublic health-care system. Further, 4\% of the patients were dispensed drugpairs that are likely to result in major adverse drug reactions (ADR)---withcosts estimated to be much larger than previously reported in smaller studies.The large-scale analysis reveals that women have a 60\% increased risk of DDIas compared to men; the increase becomes 90\% when considering only DDI knownto lead to major ADR. Furthermore, DDI risk increases substantially with age;patients aged 70-79 years have a 34\% risk of DDI when they are dispensed twoor more drugs concomitantly. Interestingly, a statistical null modeldemonstrates that age- and female-specific risks from increased polypharmacyfail by far to explain the observed DDI risks in those populations, suggestingunknown social or biological causes. We also provide a network visualization ofdrugs and demographic factors that characterize the DDI phenomenon anddemonstrate that accurate DDI prediction can be included in healthcare andpublic-health management, to reduce DDI-related ADR and costs.

City-wide Analysis of Electronic Health Records Reveals Gender and Age Biases in the Administration of Known Drug-Drug Interactions