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Fernández-Llaneza D, Vos RMP, Lieverse JE, Gosselt HR, Kane-Gill SL, van Gelder T, Klopotowska JE. An Integrated Approach for Representing Knowledge on the Potential of Drugs to Cause Acute Kidney Injury. Drug Saf 2025; 48:43-58. [PMID: 39327387 PMCID: PMC11711143 DOI: 10.1007/s40264-024-01474-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/05/2024] [Indexed: 09/28/2024]
Abstract
INTRODUCTION AND OBJECTIVE The recent rise in acute kidney injury (AKI) incidence, with approximately 30% attributed to potentially preventable adverse drug events (ADEs), poses challenges in evaluating drug-induced AKI due to polypharmacy and other risk factors. This study seeks to consolidate knowledge on the drugs with AKI potential from four distinct sources: (i) bio(medical) peer-reviewed journals; (ii) spontaneous reporting systems (SRS); (iii) drug information databases (DIDs); and (iv) NephroTox website. By harnessing the potential of these underutilised sources, our objective is to bridge gaps and enhance the understanding of drug-induced AKI. METHODS By searching Medline, studies with lists of drugs with AKI potential established through consensus amongst medical experts were selected. A final list of 63 drugs was generated aggregating the original studies. For these 63 drugs, the AKI reporting odds ratios (RORs) using three SRS databases, the average frequency of ADEs from four different DIDs and the number of published studies identified via NephroTox was reported. RESULTS Drugs belonging to the antivirals, antibacterials, and non-steroidal anti-inflammatory pharmacological classes exhibit substantial consensus on AKI potential, which was also reflected in strong ROR signals, frequent to very frequent AKI-related ADEs and a high number of published studies reporting adverse kidney events as identified via NephroTox. Renin-angiotensin aldosterone system inhibitors and diuretics also display comparable signal strengths, but this can be attributed to expected haemodynamic changes. More variability is noted for proton-pump inhibitors. CONCLUSIONS By integrating four disjointed sources of knowledge, we have created a novel, comprehensive resource on drugs with AKI potential, contributing to kidney safety improvement efforts.
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Affiliation(s)
- Daniel Fernández-Llaneza
- Department of Medical Informatics, Amsterdam University Medical Centre, University of Amsterdam, Meibergdreef 15, 1105 AZ, Amsterdam, The Netherlands.
- Amsterdam Public Health Institute, Digital Health, Amsterdam, The Netherlands.
- Amsterdam Public Health Institute, Methodology, Amsterdam, The Netherlands.
| | - Romy M P Vos
- Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Joris E Lieverse
- Department of Medical Informatics, Amsterdam University Medical Centre, University of Amsterdam, Meibergdreef 15, 1105 AZ, Amsterdam, The Netherlands
- Amsterdam Public Health Institute, Digital Health, Amsterdam, The Netherlands
| | - Helen R Gosselt
- Netherlands Pharmacovigilance Centre Lareb, 's-Hertogenbosch, The Netherlands
| | - Sandra L Kane-Gill
- Department of Pharmacy and Therapeutics, School of Pharmacy, University of Pittsburgh, Pittsburgh, PA, USA
| | - Teun van Gelder
- Department of Clinical Pharmacology and Toxicology, Leiden University Medical Centre, Leiden, The Netherlands
| | - Joanna E Klopotowska
- Department of Medical Informatics, Amsterdam University Medical Centre, University of Amsterdam, Meibergdreef 15, 1105 AZ, Amsterdam, The Netherlands
- Amsterdam Public Health Institute, Digital Health, Amsterdam, The Netherlands
- Amsterdam Public Health Institute, Quality of Care, Amsterdam, The Netherlands
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Griffin BR, Mudireddy A, Horne BD, Chonchol M, Goldstein SL, Goto M, Matheny ME, Street WN, Vaughan-Sarrazin M, Jalal DI, Misurac J. Predicting Nephrotoxic Acute Kidney Injury in Hospitalized Adults: A Machine Learning Algorithm. Kidney Med 2024; 6:100918. [PMID: 39634332 PMCID: PMC11615141 DOI: 10.1016/j.xkme.2024.100918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/07/2024] Open
Abstract
Rationale and Objective Acute kidney injury (AKI) is a common complication among hospitalized adults, but AKI prediction and prevention among adults has proved challenging. We used machine learning to update the nephrotoxic injury negated by just-in time action (NINJA), a pediatric program that predicts nephrotoxic AKI, to improve accuracy among adults. Study Design A retrospective cohort study. Setting and Population Adults admitted for > 48 hours to the University of Iowa Hospital from 2017 to 2022. Exposure A NINJA high-nephrotoxin exposure (≥3 nephrotoxins on 1 day or intravenous aminoglycoside or vancomycin for ≥3 days). Outcomes AKI within 48 hours of high-nephrotoxin exposure. Analytical Approach We collected 85 variables, including demographics, laboratory tests, vital signs, and medications. AKI was defined as a serum creatinine increase of ≥0.3 mg/dL. A gated recurrent unit (GRU)-based recurrent neural network (RNN) was trained on 85% of the data, and then tested on the remaining 15%. Model performance was evaluated with precision, recall, negative predictive value, and area under the curve. We used an artificial neural network to determine risk factor importance. Results There were 14,480 patients, 18,180 admissions, and 37,300 high-nephrotoxin exposure events meeting inclusion criteria. In the testing cohort, 29% of exposures developed AKI within 48 hours. The RNN-GRU model predicted AKI with a precision of 0.60, reducing the number of false alerts from 2.5 to 0.7 per AKI case. Lowest hemoglobin, lowest blood pressure, and highest white blood cell count were the most important variables in the artificial neural network model. Acyclovir, piperacillin-tazobactam, calcineurin inhibitors, and angiotensin-converting enzyme inhibitor/angiotensin receptor blockers were the most important medications. Limitations Clinical variables and medications were not exhaustive, drug levels or dosing were not incorporated, and Iowa's racial makeup may limit generalizability. Conclusions Our RNN-GRU model substantially reduced the number of false alerts for nephrotoxic AKI, which may facilitate NINJA translation to adult hospitals by providing more targeted intervention.
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Affiliation(s)
- Benjamin R. Griffin
- Division of Nephrology, Department of Medicine, University of Iowa Carver College of Medicine, Iowa City, IA
- Center for Access & Delivery Research and Evaluation, Iowa City VAMC, Iowa City, IA
| | - Avinash Mudireddy
- The Iowa Initiative for Artificial Intelligence, University of Iowa, Iowa City, IA
| | - Benjamin D. Horne
- Intermountain Medical Center, Department of Medicine, Intermountain Health, Salt Lake CIty, UT
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, CA
| | - Michel Chonchol
- Division of Nephrology, Department of Medicine University of Colorado-Anschutz Medical Campus, Aurora, CO
| | - Stuart L. Goldstein
- Division of Nephrology and Hypertension, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Michihiko Goto
- Center for Access & Delivery Research and Evaluation, Iowa City VAMC, Iowa City, IA
| | - Michael E. Matheny
- Geriatrics Research Education and Clinical Care Center, Tennessee Valley Health System VA, Nashville, TN
- Departments of Biomedical Informatics, Medicine, and Biostatistics, Vanderbilt University Medical Center, Nashville, TN
| | - W. Nick Street
- Department of Business Analytics, Tippie College of Business, University of Iowa, Iowa City, IA
| | | | - Diana I. Jalal
- Division of Nephrology, Department of Medicine, University of Iowa Carver College of Medicine, Iowa City, IA
- Center for Access & Delivery Research and Evaluation, Iowa City VAMC, Iowa City, IA
| | - Jason Misurac
- Division of Pediatric Nephrology, Dialysis, and Transplantation, University of Iowa Stead Family Children's Hospital, Iowa City, IA
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Yang Y, Du J, Gan J, Song X, Shu J, An C, Lu L, Wei H, Che J, Zhao X. Neutrophil-Mediated Nanozyme Delivery System for Acute Kidney Injury Therapy. Adv Healthc Mater 2024; 13:e2401198. [PMID: 38899383 DOI: 10.1002/adhm.202401198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2024] [Revised: 05/31/2024] [Indexed: 06/21/2024]
Abstract
Reactive oxygen species (ROS) scavenging of nanozymes toward acute kidney injury (AKI) is a current promising strategy, however, the glomerular filtration barrier (GFB) limits their application for treating kidney related diseases. Here, a neutrophil-mediated delivery system able to hijack neutrophil to transport nanozyme-loaded cRGD-liposomes to inflamed kidney for AKI treatment by cRGD targeting integrin αvβ1 is reported. The neutrophil-mediated nanozyme delivery system demonstrated great antioxidant and anti-apoptosis ability in HK-2 and NRK-52E cell lines. Moreover, in ischemia-reperfusion (I/R) induced AKI mice, a single dose of LM@cRGD-LPs 12 h post-ischemia significantly reduces renal function indicators, alleviates renal pathological changes, and inhibits apoptosis of renal tubular cells and the expression of renal tubular injured marker, thus remarkably reducing the damage of AKI. Mechanistically, the treatment of LM@cRGD-LPs markedly inhibits the process of Nrf2 to the nucleus and reduces the expression of the downstream HO-1, achieves a 99.51% increase in renal tissue Nrf2 levels, and an 86.31% decrease in HO-1 levels after LM@cRGD-LPs treatment. In short, the strategy of neutrophil-mediated nanozyme delivery system hold great promise as a potential therapy for AKI or other inflammatory diseases.
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Affiliation(s)
- Yu Yang
- Department of Andrology, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, 210008, China
- Department of Urology, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, 210008, China
| | - Jiang Du
- College of Engineering and Applied Sciences, Nanjing National Laboratory of Microstructures, Jiangsu Key Laboratory of Artificial Functional Materials, Nanjing University, Nanjing, Jiangsu, 210023, China
| | - Jingjing Gan
- Institute of Translational Medicine, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, Jiangsu, 210008, China
| | - Xiang Song
- Department of Andrology, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, 210008, China
- Department of Urology, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, 210008, China
| | - Jiaxin Shu
- Department of Andrology, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, 210008, China
- Department of Urology, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, 210008, China
| | - Chaoli An
- Department of Andrology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu, 210008, China
| | - Li Lu
- Department of Andrology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu, 210008, China
| | - Hui Wei
- College of Engineering and Applied Sciences, Nanjing National Laboratory of Microstructures, Jiangsu Key Laboratory of Artificial Functional Materials, Nanjing University, Nanjing, Jiangsu, 210023, China
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Chemistry and Biomedicine Innovation Center (ChemBIC), Nanjing University, Nanjing, Jiangsu, 210023, China
| | - Junyi Che
- Institute of Translational Medicine, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, Jiangsu, 210008, China
| | - Xiaozhi Zhao
- Department of Andrology, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, 210008, China
- Department of Andrology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu, 210008, China
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Xu R, Gao Q, Zhang Y, Lin Y, Li Y, Su L, Zhou S, Cao Y, Gao P, Li P, Luo F, Chen R, Zhang X, Nie S, Xu X. Associations between Different Antivirals and Hospital-Acquired Acute Kidney Injury in Adults with Herpes Zoster. Clin J Am Soc Nephrol 2024; 19:694-703. [PMID: 38527975 PMCID: PMC11168829 DOI: 10.2215/cjn.0000000000000452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Accepted: 03/19/2024] [Indexed: 03/27/2024]
Abstract
Key Points Among intravenous antivirals, acyclovir was associated with the highest risk of hospital-acquired AKI, followed by penciclovir/ganciclovir and foscarnet. The risk of hospital-acquired AKI was dose dependent for intravenous nucleoside analogs. Background To examine the association of use of different antivirals with hospital-acquired AKI among Chinese adults with herpes zoster. Methods This study selected 3273 adult patients who received antiviral therapy for herpes zoster during hospitalization from the China Renal Data System. We identified and staged AKI using patient-level serum creatinine data according to the Kidney Disease Improving Global Outcomes criteria. We compared the relative risks of hospital-acquired AKI among patients treated with different antivirals using Cox proportional hazards models. Results Among 3273 patients, 1480 (45%), 681 (21%), 489 (15%), and 623 (19%) were treated with acyclovir/valacyclovir, ganciclovir, penciclovir/famciclovir, and foscarnet, respectively. During the follow-up period, a total of 111 cases of hospital-acquired AKI occurred, predominantly classified as AKI stage 1. The cumulative incidences of hospital-acquired AKI were 5%, 3%, 3%, and 1% in the patients receiving acyclovir/valacyclovir, ganciclovir, penciclovir/famciclovir, and foscarnet, respectively. Compared with acyclovir/valacyclovir, penciclovir/famciclovir/ganciclovir and foscarnet were associated with a lower risk of hospital-acquired AKI, with an adjusted hazard ratio of 0.59 (95% confidence interval [CI], 0.37 to 0.94) and 0.27 (95% CI, 0.11 to 0.63), respectively. Compared with intravenous acyclovir, intravenous penciclovir/ganciclovir and foscarnet were associated with a lower risk of hospital-acquired AKI with an adjusted hazard ratio of 0.53 (95% CI, 0.29 to 0.98) and 0.31 (95% CI, 0.12 to 0.76), respectively. The associations were consistent across various subgroups and sensitivity analyses. Conclusions Among antiviral therapies for herpes zoster, we found different risks of hospital-acquired AKI among the patients receiving different antivirals, in particular, those administered intravenously. Among intravenous antivirals, acyclovir was associated with the highest risk of hospital-acquired AKI, followed by penciclovir/ganciclovir and foscarnet. Confirmation studies with large samples from other populations are warranted.
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Affiliation(s)
- Ruqi Xu
- Division of Nephrology, State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Renal Failure Research, National Clinical Research Center for Kidney Disease, Guangdong Provincial Institute of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, China
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Wang T, Kang HC, Chen CC, Lai TS, Huang CF, Wu CC. The Effects of Pharmacist-Led Medication Therapy Management on Medication Adherence and Use of Non-Steroidal Anti-Inflammatory Drug in Patients with Pre-End Stage Renal Disease. Patient Prefer Adherence 2024; 18:267-274. [PMID: 38327729 PMCID: PMC10848922 DOI: 10.2147/ppa.s436952] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Accepted: 01/23/2024] [Indexed: 02/09/2024] Open
Abstract
Purpose Patients with chronic kidney disease (CKD) are particularly vulnerable to the risks of polypharmacy, largely owing to various comorbid conditions. This vulnerability is further compounded by an escalated risk of renal function deterioration when exposed to nephrotoxic medications. As part of the national health insurance program in Taiwan, the pre-end-stage kidney disease patient care and education plan has included pharmaceutical care since October 2021. This study aims to explore the effect of pharmacist involvement in a multidisciplinary care team for patients with kidney disease in outpatient settings. Patients and Methods This retrospective observational study was conducted at a single center. It analyzed data from May 2022 to May 2023, focusing on patients who received medication therapy management in the kidney disease pharmacist-managed clinic. The study assessed changes in patient medication adherence, non-steroidal anti-inflammatory drugs (NSAIDs) usage, CKD stage, and urine protein-to-creatinine ratio (UPCR) after pharmacist intervention. It also documented pharmacists' medication recommendations and the rate of acceptance by physicians. Results A total of 202 patients who had at least two clinic visits were included in the study. After pharmacist intervention, the proportion of poor medication adherence reduced significantly from 67.8% to 43.1% (p<0.001). The proportion of NSAID users also decreased significantly from 19.8% to 8.4% (p=0.001). CKD stage showed a significant reduction (p=0.007), and the average UPCR improved from 2828.4 to 2111.0 mg/g (p<0.001). The pharmacists provided a total of 56 medication recommendations, with an acceptance rate of 86%. Conclusion The involvement of pharmacists in the multidisciplinary care team can effectively provide medication-related recommendations, ensuring the effectiveness and safety of patients' medication use, and lead to better kidney function and lower proteinuria.
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Affiliation(s)
- Ting Wang
- Department of Pharmacy, National Taiwan University Hospital, Taipei, Taiwan
| | - Hao-Cheng Kang
- Department of Pharmacy, National Taiwan University Hospital, Taipei, Taiwan
| | - Chia-Chi Chen
- Department of Pharmacy, National Taiwan University Hospital, Taipei, Taiwan
| | - Tai-Shuan Lai
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Chih-Fen Huang
- Department of Pharmacy, National Taiwan University Hospital, Taipei, Taiwan
- School of Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Chien-Chih Wu
- Department of Pharmacy, National Taiwan University Hospital, Taipei, Taiwan
- School of Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan
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Yang J, Gan Y, Feng X, Chen X, Wang S, Gao J. Effects of melatonin against acute kidney injury: A systematic review and meta-analysis. Int Immunopharmacol 2023; 120:110372. [PMID: 37279642 DOI: 10.1016/j.intimp.2023.110372] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 05/02/2023] [Accepted: 05/19/2023] [Indexed: 06/08/2023]
Abstract
INTRODUCTION Melatonin is a hormone synthesized by the pineal gland, and has antioxidative effects in reducing acute kidney injury (AKI). In the past three years, an increasing number of studies have evaluated whether melatonin has a protective effect on AKI. The study systematically reviewed and assessed the efficacy and safety of melatonin in preventing AKI. MATERIAL AND METHODS A systematic literature search was conducted in the PubMed, Embase, and Web of Science databases on February 15, 2023. Eligible records were screened according to the inclusion and exclusion criteria. The odds ratio and Hedges' gwith the corresponding 95% confidence intervals were selected to evaluate the effects of melatonin on AKI. We pooled extracted data using a fixed- or random-effects model based on a heterogeneity test. RESULTS There were five studies (one cohort study and four randomized controlled trials) included in the meta-analysis. Although the glomerular filtration rate (GFR) may be significantly improved by melatonin, the incidence of AKI was not significantly decreased in the melatonin group compared with the control group in randomized controlled trials (RCTs). CONCLUSIONS In our study, the present results do not support a direct effect of melatonin use on the reduction of AKI. More well-designed clinical studies with larger sample size are required in the future.
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Affiliation(s)
- Jianhua Yang
- Department of Intensive Care Medicine, Chongqing University Central Hospital, Chongqing Emergency Medical Center, Chongqing Key Laboratory of Emergency Medicine, Chongqing 400016, China.
| | - Yuanxiu Gan
- Department of Intensive Care Medicine, Chongqing University Central Hospital, Chongqing Emergency Medical Center, Chongqing 400016, China.
| | - Xuanyun Feng
- Department of Intensive Care Medicine, Chongqing University Central Hospital, Chongqing Emergency Medical Center, Chongqing 400016, China.
| | - Xiangyu Chen
- Department of Emergency, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China.
| | - Shu Wang
- Department of Intensive Care Medicine, Chongqing University Central Hospital, Chongqing Emergency Medical Center, Chongqing Key Laboratory of Emergency Medicine, Chongqing 400016, China.
| | - Junwei Gao
- Department of Military Cognitive Psychology, School of Psychology, Third Military Medical University (Army Medical University), Chongqing, 400038, China.
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James MT, Sawhney S. System-Based Solutions to Minimizing Nephrotoxin-Induced Acute Kidney Injury. Clin J Am Soc Nephrol 2023; 18:157-159. [PMID: 36754003 PMCID: PMC10103378 DOI: 10.2215/cjn.0000000000000053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/10/2023]
Affiliation(s)
- Matthew T. James
- Departments of Medicine and Community Health Sciences, O'Brien Institute for Public Health, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Simon Sawhney
- Aberdeen Centre for Health Data Science, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, NHS Grampian, Aberdeen, Scotland
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