• FluTrackers.com Inc. does not provide medical advice. Information on this web site is collected from various internet resources, and the FluTrackers board of directors makes no warranty to the safety, efficacy, correctness or completeness of the information posted on this site by any author or poster. The information collated here is for instructional and/or discussion purposes only and is NOT intended to diagnose or treat any disease, illness, or other medical condition. Every individual reader or poster should seek advice from their personal physician/healthcare practitioner before considering or using any interventions that are discussed on this website. By continuing to access this website you agree to consult your personal physican before using any interventions posted on this website, and you agree to hold harmless FluTrackers.com Inc., the board of directors, the members, and all authors and posters for any effects from use of any medication, supplement, vitamin or other substance, device, intervention, etc. mentioned in posts on this website, or other internet venues referenced in posts on this website.
  • We are not asking for any donations. Do not donate to any entity who says they are raising funds for us.

Clin Transl Sci . New Function for Safety Signal Monitoring in MID-NET®: The Case of an Anti-COVID-19 Drug

tetano

Editor, Senior Moderator
Clin Transl Sci


. 2025 Apr;18(4):e70208.
doi: 10.1111/cts.70208. New Function for Safety Signal Monitoring in MID-NET[SUP]®[/SUP]: The Case of an Anti-COVID-19 Drug

Yusuke Okada[SUP] 1 [/SUP], Takashi Ando[SUP] 1 [/SUP], Fumitaka Takahashi[SUP] 1 [/SUP], Kenichi Watanabe[SUP] 1 [/SUP], Kazuhiro Kajiyama[SUP] 1 [/SUP], Tomoaki Hasegawa[SUP] 1 [/SUP], Satomi Inomata[SUP] 1 [/SUP], Yuki Kinoshita[SUP] 1 [/SUP], Shinya Watanabe[SUP] 1 [/SUP], Yoshiaki Uyama[SUP] 1 [/SUP]



Affiliations
Abstract

Real-world data play a key role in monitoring drug safety at the post-marketing stage. However, challenges on how to rapidly and continuously obtain analytical results of many outcomes for drug safety signal monitoring still remain. We aimed to establish a rapid and continuous monitoring tool for drug safety assessment based on real-world data in Japan. An automated process for a new-user cohort design with customizable analytical conditions was developed. The customizable analytical conditions include exposure and control drugs, 46 outcomes related to liver and kidney functions, blood tests, biomarkers, and time period of interest. Statistical analyses were performed to evaluate the outcome status (present/absent) and calculate the adjusted hazard ratio, with a 95% confidence interval of exposure to control. We monitored the safety signals of an anti-COVID-19 drug (combination of tixagevimab and cilgavimab) and compared them with those of two controls (peramivir and the combination of casirivimab and imdevimab) to examine the practical utility of this new tool. Our study provided helpful information (e.g., new safety signals) on many outcomes at multiple time points, which could enhance the understanding of drug safety profiles soon after approval. Our function can be used to rapidly and continuously monitor drug safety signals and contribute to strengthening drug safety monitoring in Japan.

Keywords: medical information database; post‐marketing drug safety; real‐word evidence; safety signal monitoring.

 
Back
Top Bottom