Related Experiment Video
Updated: Jul 24, 2026

Early Detection of Drug-Induced Renal Hemodynamic Dysfunction Using Sonographic Technology in Rats
Published on: March 11, 2016
High Risk of Drug-drug interactions among Hospitalized Patients with kidney Diseases at a Nigerian Teaching Hospital:
Abdulwasiu Adeniyi Busari1, Ibrahim A Oreagba1, Kazeem A Oshikoya2
1Department of Pharmacology, Therapeutics and Toxicology, College of Medicine, University of Lagos, Lagos, Nigeria.
Background:
Potential drug-drug interactions (DDIs) are increasingly common in clinical practice, especially among individuals with chronic conditions, such as chronic kidney dysfunction. However, data relating to DDIs among chronically ill patients are limited in Nigeria. We, therefore, investigated the prevalence and pattern of DDIs among patients with kidney diseases on admission at a tertiary hospital in Lagos, Nigeria.
Materials And Methods:
This was a prospective observational study involving 61 adults with kidney diseases and on admission in medical wards of the study center, over a 3-month period. Data extractions were with a purposefully designed pro forma to extract relevant data on demographic, clinical, and dosing regimens of the prescribed drugs for individual patients. Potential DDIs were identified, and their severity was rated using the MICROMEDEX® software database (IBM® Watson-Truven Health Analytics), which is available online with limited access.
Results:
Of the 61 patients evaluated, majority were males (34; 55.7%), were elderly (26; 42.6%), and had chronic kidney disease Stage 3 (40; 65.5%). The most common cause of kidney disease was hypertension (20; 32.8%). Out of the 542 prescriptions received by the patients, potential DDI was observed in 508 (93.7%) prescriptions. Clinically significant drug interactions (CSDIs) were detected in 486 (85.7%) prescriptions. Pharmacodynamic DDIs (466; 91.7%) were the most common. Pill burden exceeding 25 pills/day was present in nine (14.8%) patients. The severities of the potential DDIs were major (135; 24.9%), moderate (333; 61.4%), and minor (38; 7.1%). Only two different potential DDIs were rated X (contraindicated).
Conclusion:
Exposure to drugs with potential DDIs was very common among patients with kidney diseases. Most of the CSDIs observed were of major severity. The use of DDI checker before prescribing drugs for individuals with kidney diseases could avert clinically significant interactions.
Insights
Drug-drug interactions (DDIs) are very common in kidney disease patients in Nigeria, with most interactions being clinically significant and of major severity. Utilizing DDI checkers can help prevent these harmful interactions.
Area of Science:
- Pharmacology
- Nephrology
- Clinical Pharmacy
Background:
- Drug-drug interactions (DDIs) pose a growing challenge in clinical practice, particularly for patients with chronic conditions like kidney disease.
- Data on DDIs in chronically ill Nigerian populations are scarce.
- This study focused on the prevalence and patterns of DDIs in Nigerian patients with kidney diseases.
Purpose of the Study:
- To investigate the prevalence and patterns of potential drug-drug interactions (DDIs) among kidney disease patients admitted to a tertiary hospital in Lagos, Nigeria.
- To assess the clinical significance and severity of observed DDIs.
- To highlight the need for DDI monitoring in this patient population.
Main Methods:
- A prospective observational study was conducted over three months with 61 adult kidney disease patients.
- Data on demographics, clinical status, and drug regimens were collected using a standardized pro forma.
- Potential DDIs were identified and their severity assessed using MICROMEDEX® software.
Main Results:
- A high prevalence of potential DDIs was observed in 93.7% of prescriptions, with 85.7% being clinically significant drug interactions (CSDIs).
- Pharmacodynamic DDIs were the most frequent type (91.7%).
- Most CSDIs were of major severity (24.9%), with 61.4% being moderate.
Conclusions:
- Exposure to potential DDIs is extremely common in kidney disease patients in Nigeria.
- The majority of identified CSDIs were of major severity, indicating a significant risk.
- Implementing DDI checker tools before prescribing is crucial to mitigate clinically significant interactions in patients with kidney diseases.
Related Concept Videos
Factors Affecting Renal Clearance: Drug Distribution and Drug Interactions
One important factor is the relationship between renal clearance and the apparent volume of distribution. Renal clearance tends to be inversely proportional to the apparent volume of distribution. Drugs with an extensive distribution volume or those...
Pharmacokinetics: Drug–Drug Interactions
Drug Dosing in Renal Diseases: Dose Adjustments Based on Drug Clearance and Elimination Rate Constant
Drug toxicity: Drug–Drug Interaction
Acute Kidney Injury IV: Diagnostic Studies and Prevention
Acute Kidney Injury VI: Nursing Management

