ArticlePloS one2023
Drug-drug interaction and acute kidney injury development: A correlation-based network analysis.
Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.
- Computational approaches for drug-drug interaction prediction: a systematic review of data sources, modeling strategies, and evaluation frameworks.Frontiers in pharmacology · 2026Pooled it
- Artificial Intelligence in Critical Care Nephrology: Current Applications, Emerging Techniques, and Challenges to Clinical Integration.Kidney360 · 2026Review
- Transforming nephrology through artificial intelligence: a state-of-the-art roadmap for clinical integration.Clinical kidney journal · 2026Review
- Construction of a Machine Learning-Based Risk Prediction Model for Drug-Induced Acute Kidney Injury in Elderly Patients.International journal of nephrology and renovascular disease · 2026Article
- Dose individualisation of antibiotics in critically ill patients with inflammation: A narrative review.British journal of clinical pharmacology · 2025Review
- The Acute Kidney Intervention and Pharmacotherapy (AKIP) List: Standardized List of Medications That Are Renally Eliminated and Nephrotoxic in the Acutely Ill.The Annals of pharmacotherapy · 2025Article
- Machine Learning to Assist in Managing Acute Kidney Injury in General Wards: Multicenter Retrospective Study.Journal of medical Internet research · 2025Article
- A low-dose pemetrexed-cisplatin combination regimen induces significant nephrotoxicity in mice.BMC nephrology · 2024Article
- Development and validation of a deep learning algorithm for the prediction of serum creatinine in critically ill patients.JAMIA open · 2024Article
- Drug-Drug Interactions in Nosocomial Infections: An Updated Review for Clinicians.Pharmaceutics · 2024Review
- Association of serum Nrf2 protein levels with disease activity and renal impairment in lupus nephritis.Frontiers in immunology · 2024Article
- Exploring the Potential of Chatbots in Critical Care Nephrology.Medicines (Basel, Switzerland) · 2023Review
- Effects of glyphosate herbicide ingestion on kidney function in rats on a balanced diet.Jornal brasileiro de nefrologiaArticle
- Drug-drug interactions between COVID-19 therapeutics and antiretroviral treatment: the evidence to date.Expert opinion on drug metabolism & toxicologyReview
Corrections and comments
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Authors and funding
5 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDrug-induced nephrotoxicity is a relatively common preventable cause of acute kidney injury (AKI), providing early recognition and management. The pharmacokinetics or pharmacodynamics of drug-drug interactions may lead to additive or synergistic toxicity. The influx of new medications or off-label use of medications in the critical care setting can lead to additional nephrotoxicities, often challenging to predict or detect. This study evaluates the patterns of medication utilization, their combinations, and the related associations with AKI.
methodsWe utilized correlation-based network analysis (CNA) to investigate the relationship between medications or their combinations with AKI in a large cohort of critically ill patients in a tertiary medical center between 2007 and 2018. Pairwise medication-AKI correlation analysis was performed to evaluate drug synergistic or additive effects. To investigate the inherent nephrotoxicity of medications, we further analyzed medications that were not paired with any other medications within 24 hours before or after their administration time (isolated medication analysis).
resultsAmong 147,289 ICU admissions, we identified 244 associations among 1,555 unique medication types. In pairwise analysis, 233 significant correlations were found among 13,150,198 medication pair instances. In isolated medication analysis, ten significant AKI associations were noted. When stratified by eGFR level, substantial differences between eGFR<90 vs. eGFR≥90 patients were observed. This highlights a need to determine eGFR as a risk factor for nephrotoxicity assessment when drug interactions are considered.
conclusionsThis large-scale cohort study identified an artificial intelligence model to identify patient-agnostic relationships between medication or their pairs with AKI incidence among critically ill patients. It could be used as a continuous quality assurance tool to monitor drug-associated risk nephrotoxicity.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.