Adverse effects of proton pump inhibitors (PPIs) on the renal system using data mining algorithms (DMAs)

BACKGROUND: Various adverse drug reactions (ADRs) are associated with proton pump inhibitors (PPIs). However, the effects of PPIs on the renal system are unclear so far. Thus, the main objective of the current study was to identify the possible signals of PPIs in the renal system.

MATERIALS AND METHODS: Data mining algorithms such as proportional reporting ratio i.e. PRR (≥2) with associated chi-squared value (>4), reporting odds ratio i.e. ROR (≥2) with 95% confidence interval and case count (≥3) were calculated to identify a possible signal.

RESULTS: The calculated PRR and ROR have indicated a positive signal of PPIs with suspected chronic kidney disease, acute kidney injury, renal failure, renal injury, and end-stage renal disease. The subgroup analysis results have shown a greater number of cases in the age group (18-64 years) as compared to other age groups whereas the number of cases in the female was found to be more as compared to males. The sensitivity analysis results have also shown no significant impact of concomitantly administered drugs on the outcome.

CONCLUSION: PPIs may be associated with various ADRs on the renal system.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:22

Enthalten in:

Expert opinion on drug safety - 22(2023), 8 vom: 22. Juli, Seite 741-752

Sprache:

Englisch

Beteiligte Personen:

Jain, Devanshi [VerfasserIn]
Sharma, Gazal [VerfasserIn]
Kumar, Anoop [VerfasserIn]

Links:

Volltext

Themen:

Data mining algorithms (DMAs)
Journal Article
Proton Pump Inhibitors
Proton pump inhibitors
Renal system
Signal detection

Anmerkungen:

Date Completed 02.11.2023

Date Revised 02.11.2023

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1080/14740338.2023.2189698

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM353944726