Assessment of Renal Parameters in Patients on Proton Pump Inhibitors and Risk of Chronic Kidney Disease FC05-FC09
Dr. Madhavi Eerike,
Associate Professor, Department of Pharmacology, Chettinad Hospital and Research Institute, Kelambakkam,
Kanchipuram-603103, Chennai, Tamil Nadu, India.
Introduction: Proton Pump Inhibitors (PPIs) are one of the commonly prescribed drugs for peptic ulcer. It has been reported that 25% to 70% of prescriptions do not have proper indication. Recently these drugs are linked with increased incidence of kidney disease.
Aim: The present study was conducted to assess the renal parameters in patients on PPI and to correlate it with the duration of treatment and Chronic Kidney Disease (CKD).
Materials and Methods: A prospective observational study was carried out among 30 control and 30 test participants. Subjects were enrolled according to inclusion and exclusion criteria. After getting written informed consent, demographic and medication details were recorded. Blood sample was collected for estimation of serum creatinine and Blood Urea Nitrogen (BUN). Estimated Glomerular Filtration Rate (eGFR) was calculated based on serum creatinine levels. Demographic data, medication details and eGFR were expressed as percentage and renal parameters analysed by ANOVA and unpaired t-test. A p<0.05 was considered significant.
Results: About 66.67% in control group and 86.67% in test group were males. Only 60% of them were using pantoprazole regularly for peptic ulcer. There was a significant increase (p<0.05) in serum creatinine and not in BUN in test group when compared to control. About 13% of participants had serum creatinine above 1.3 mg/dL. About 40% of test group subjects eGFR was less than <90 mL/minute/1.73 m2. There was no correlation between renal parameters and type and regularity of use of PPI.
Conclusion: The use of PPI whether regular or irregular, irrespective of the type was associated with significant increase in serum creatinine and caused decrease in kidney function status. Study with large sample size is required for giving definitive conclusion.