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Assessing the Risk of Decrease in Kidney Function in Patients Prescribed Direct-Acting Antivirals for Hepatitis C Utilizing the MID-NET ® Medical Information Database Network in Japan.

Tomoaki HasegawaSono SawadaChieko IshiguroTakashi AndoKanae KobayashiNoriyuki KomiyamaToyotaka IguchiTakahiro NonakaYoshiaki Uyama
Published in: Therapeutic innovation & regulatory science (2022)
An association between kidney disease and direct-acting antivirals against hepatitis C (DAAs) has been suggested, however the warning on the package insert (PI) of the drug varies among DAAs. In this study, the risk of decreased kidney function associated with DAAs marketed in Japan was investigated to determine whether the risk of kidney disease is a common adverse event and class effect of DAAs. Data for patients who were new users of DAAs marketed in Japan, with eGFR ≥ 45 mL/min/1.73 m 2 and without specific risk factors, were extracted from the MID-NET ® medical information database network in Japan. Changes from the baseline on estimated glomerular filtration rate (eGFR) categories (eGFR ≥ 90, 90 > eGFR ≥ 60, 60 > eGFR ≥ 45, 45 > eGFR ≥ 30, 30 > eGFR ≥ 15, 15 > eGFR; unit: mL/min/1.73 m 2 ) were used for evaluating the risk of decreased kidney function. Exposure groups for DAAs and relevant concomitant drugs were categorized into 10 patterns based on the PI. Among the 10 patterns, a significant increase in the incidence rate ratio (P < 0.01) was observed in the prescription patterns of concomitant use of telaprevir with peginterferon alpha and ribavirin, concomitant use of daclatasvir hydrochloride with asunaprevir, and ombitasvir hydrate combined with paritaprevir hydrate and ritonavir, which were concomitantly used with ribavirin; such an increase was not observed in the other prescription patterns. The effects of DAAs on kidney function may differ among drugs, suggesting the possibility that the risk of kidney disease is not a class effect of DAAs and should be evaluated individually for each DAA.
Keyphrases
  • small cell lung cancer
  • epidermal growth factor receptor
  • tyrosine kinase
  • risk factors
  • hepatitis c virus
  • healthcare
  • big data
  • artificial intelligence
  • antiretroviral therapy