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Estimation of sodium-glucose cotransporter 2 inhibitor-related genital and urinary tract infections via electronic medical record-based common data model.

SooJeong KoHyung Min KimJiwon ShinnSun-Ju ByeonJeong Hee ChoiHun Sung Kim
Published in: Journal of clinical pharmacy and therapeutics (2021)
In this study, although the GTIs appeared to have a similar occurrence as UTIs, however, the discontinuation rate of SGLT2i for suspected GTIs was relatively lower. Our study is novel in that we identified how the physicians approached SGLT2i-related GTIs or UTIs at each step in a real-world clinical practice setting. Although we could estimate SGLT2i-related GTIs and UTIs via CDM, we were limited in our ability to accurately detect mild drug side effects via CDM, which lacked data for operational definition.
Keyphrases
  • urinary tract infection
  • clinical practice
  • primary care
  • risk assessment
  • big data
  • adverse drug