Medicine-Induced Acute Kidney Injury Findings from Spontaneous Reporting Systems, Sequence Symmetry Analysis and a Case-Control Study with a Focus on Medicines Used in Primary Care

An Integrated Approach for Representing Knowledge on the Potential of Drugs to Cause Acute Kidney Injury

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.

Association between mineralocorticoid receptor antagonists and kidney harm: A systematic review and meta-analysis of randomized controlled trials

Conflicting data have been reported on the association between mineralocorticoid receptor antagonists (MRAs) and acute kidney injury (AKI). This systematic review and meta-analysis aimed to evaluate whether MRAs affect the risk of AKI. MEDLINE via PubMed, the Cochrane Central Register of Controlled Trials, and the ClinicalTrials.gov website were comprehensively searched to extract all relevant studies. Randomized controlled trials (RCTs) were selected that compared MRA versus placebo or no treatment and had study populations consisting of patients with heart or kidney disease. The primary outcome was AKI. The secondary outcome was kidney injury, including AKI and non-AKI. Thirty-three studies were included in the meta-analysis. MRAs were not associated with an increased risk of AKI (risk ratio [RR] 1.13, 95% confidence interval [CI] 0.88-1.46, p = 0.29, I2 = 15%, 18,065 patients, 13 RCTs, moderate certainty). For the secondary outcome, MRAs were associated with an increased risk of kidney injury (RR 1.52, 95% CI 1.24-1.87, p < 0.01, I2 = 48%, 27,492 patients, 33 RCTs, low certainty). In particular, only canrenone (RR 5.39, 95% CI 2.17-13.37, p < 0.01) and spironolactone (RR 1.78, 95% CI 1.48-2.14, p < 0.01) were associated with an increased risk of kidney injury. However, eplerenone and finerenone seem not to increase the risk of kidney injury in patients with heart or kidney disease. The selection of MRAs might influence the risk of kidney-associated events. Further studies focusing on individual MRAs may be needed to clarify these differences.

Drug use and acute kidney injury: a Drug-Wide Association Study (DWAS) in Denmark and Sweden

Background

Knowledge of which medications may lead to acute kidney injury (AKI) is limited, relying mostly on spontaneous reporting in pharmacovigilance systems. We here conducted an exploratory drug-wide association study (DWAS) to screen for associations between dispensed drugs and AKI risk.

Methods

Using two large Danish and Swedish data linkages, we identified AKI hospitalizations occurring between April 1997 and December 2021 in Denmark and between March 2007 and December 2021 in Sweden. We used a case-time control design comparing drug dispensing in the 3 months prior to the AKI with earlier periods for the same patient. Odds ratios (ORs) for the association between each drug and AKI were estimated using conditional logistic regression and adjusting for the presence of comorbidities. We sought replication of signals in both health systems and explored the plausibility of findings through pharmacovigilance system analysis in the US Food and Drug Administration Adverse Event Reporting System (FAERS) database, appearance in the RESCUE list of medications that report AKI as a side effect, PubMed evidence review and causality assessment through direct acyclic graphs.

Results

We included 20 622 adults in Denmark and 13 852 in Sweden hospitalized for AKI. In total, 16 unique medications were identified in both cohorts as associated to increased AKI occurrence. Of these, 10 medications had higher reporting ORs in the FAERS database, 9 were listed by RESCUE, and 7 appearing in PubMed. This analysis identified some medications with known AKI risks (i.e. likely true positives such as furosemide, penicillin, spironolactone and omeprazole), medications that may have initiated in response to conditions that lead to AKI (i.e. false positives like metoclopramide provided to treat nausea/vomiting) and other candidates (e.g. opioids) that warrant further evaluation in subsequent studies.

Conclusions

This hypothesis-generating study identifies medications with potential involvement in AKI that require confirmation and validation.

Signal detection statistics of adverse drug events in hierarchical structure for matched case-control data

The tree-based scan statistic is a data mining method used to identify signals of adverse drug reactions in a database of spontaneous reporting systems. It is particularly beneficial when dealing with hierarchical data structures. One may use a retrospective case-control study design from spontaneous reporting systems (SRS) to investigate whether a specific adverse event of interest is associated with certain drugs. However, the existing Bernoulli model of the tree-based scan statistic may not be suitable as it fails to adequately account for dependencies within matched pairs. In this article, we propose signal detection statistics for matched case-control data based on McNemar's test, Wald test for conditional logistic regression, and the likelihood ratio test for a multinomial distribution. Through simulation studies, we demonstrate that our proposed methods outperform the existing approach in terms of the type I error rate, power, sensitivity, and false detection rate. To illustrate our proposed approach, we applied the three methods and the existing method to detect drug signals for dizziness-related adverse events related to antihypertensive drugs using the database of the Korea Adverse Event Reporting System.

Mineralocorticoid Receptor Antagonists in Diabetic Kidney Disease: Clinical Evidence and Potential Adverse Events

Diabetic kidney disease (DKD) is the leading cause of chronic kidney disease (CKD) globally and is associated with an increased risk of developing cardiovascular disease (CVD). DKD management requires a multipronged approach to decrease the progression of CKD and CVD. Mineralocorticoid receptor antagonists (MRAs) added to renin-angiotensin-aldosterone system blockade and sodium-glucose cotransporter 2 inhibitor therapy reduce the incidence of cardiovascular outcomes and progression of CKD. This review examines the cardiorenal benefits of MRAs and summarizes evidence on potential risks for acute kidney injury, hyperkalemia, and sexual dysfunction for steroidal and nonsteroidal MRAs.

Spironolactone for Preventing Contrast-Induced Nephropathy After Percutaneous Coronary Intervention in Patients With Acute Myocardial Infarction and Chronic Kidney Disease

Patients with acute myocardial infarction (AMI) and chronic kidney disease (CKD) are at high risk of contrast-induced nephropathy (CIN), which can subsequently worsen the overall prognosis. To evaluate the efficacy of spironolactone for CIN prevention, 410 patients with AMI and CKD receiving percutaneous coronary intervention (PCI) were retrospectively analyzed. Among them, 240 and 170 patients were enrolled in the standard treatment and spironolactone groups (spironolactone was administered 2 days before and 3 days after PCI), respectively. The primary endpoint of CIN was defined as a 0.5 mg/dL or >25% increase from the baseline serum creatinine level within 48-72 h post-PCI. CIN incidence was significantly lower in the spironolactone group than in the standard treatment group (11.2 vs 26.7%, P < .001). Further, cardiac re-hospitalization (hazard ratio [HR]: 0.515; 95% CI: 0.382-0.694; P < .001) and cardiac death (HR: 0.612; 95% CI: 0.429-0.872; P = .007) risks were significantly lower in patients who received long-term spironolactone with a median treatment duration of 42 months after discharge. Spironolactone might lower the risk of CIN, and long-term use of spironolactone reduces the risk of cardiac re-hospitalization and cardiac death in patients with AMI and CKD undergoing PCI.

Prevalence and clinical significance of potential drug-drug interactions among lung transplant patients

Background: Drug-drug interactions (DDIs) are a major but preventable cause of adverse drug reactions. There is insufficient information regarding DDIs in lung transplant recipients. Objective: This study aimed to determine the prevalence of potential DDIs (pDDIs) in intensive care unit (ICU) lung transplant recipients, identify the real DDIs and the most frequently implicated medications in this vulnerable population, and determine the risk factors associated with pDDIs. Methods: This retrospective cross-sectional study included lung transplant recipients from January 2018 to December 2021. Pertinent information was retrieved from medical records. All prescribed medications were screened for pDDIs using the Lexicomp® drug interaction software. According to this interaction software, pDDIs were classified as C, D, or X (C = monitor therapy, D = consider therapy modification, X = avoid combination). The Drug Interaction Probability Scale was used to determine the causation of DDIs. All statistical analysis was performed in SPSS version 26.0. Results: 114 patients were qualified for pDDI analysis, and total pDDIs were 4051. The most common type of pDDIs was category C (3323; 82.0%), followed by D (653; 16.1%) and X (75; 1.9%). Voriconazole and posaconazole were the antifungal medicine with the most genuine DDIs. Mean tacrolimus concentration/dose (Tac C/D) before or after co-therapy was considerably lower than the Tac C/D during voriconazole or posaconazole co-therapy (p < 0.001, p = 0.027). Real DDIs caused adverse drug events (ADEs) in 20 patients. Multivariable logistic regression analyses found the number of drugs per patient (OR, 1.095; 95% CI, 1.048-1.145; p < 0.001) and the Acute Physiology and Chronic Health Evaluation II (APACHE Ⅱ) score (OR, 1.097; 95% CI, 1.021-1.179; p = 0.012) as independent risk factors predicting category X pDDIs. Conclusion: This study revealed a high incidence of both potential and real DDIs in ICU lung transplant recipients. Immunosuppressive drugs administered with azole had a high risk of causing clinically significant interactions. The number of co-administered drugs and APACHE Ⅱ score were associated with an increased risk of category × drug interactions. Close monitoring of clinical and laboratory parameters is essential for ensuring successful lung transplantation and preventing adverse drug events associated with DDIs.

A Case Report: Lithium-Induced Neurotoxicity, a Differential to Always Consider

Lithium, a mood stabilizer commonly prescribed for bipolar disorder, has a narrow therapeutic index that increases the risk of toxicity for patients who are prescribed this medication. Patients presenting with lithium toxicity could have a wide array of symptoms triggered by several factors that mimic other neurological conditions. In this paper, we discuss the case of an 81-year-old male who presented to the emergency department with worsening tremors and visual hallucinations, ataxia, and cognitive decline. He was initially thought to have Parkinson's disease with dementia in the outpatient setting and was later found to have lithium toxicity. Swift identification and management, involving fluid diuresis, led to the complete resolution of the patient's neurological symptoms by the fourth day of hospitalization. This case calls attention to the challenges of diagnosing lithium toxicity due to the variability in presentation as well as precipitating factors that clinicians must be cognizant of when working up patients who are prescribed lithium.

Hospitalized patients received furosemide undergoing acute kidney injury: the risk and prediction tool

PURPOSE

Furosemide, a frequently prescribed diuretic for managing congestive heart failure and edema, remains a topic of debate regarding its potential risk of inducing acute kidney injury (AKI) in patients. Consequently, this study aims to examine the occurrence of hospital-acquired AKI (HA-AKI) in hospitalized patients who are administered furosemide and to investigate potential risk factors associated with this outcome.

METHODS

This study encompassed a cohort of 22374 hospitalized patients who either received furosemide treatment or not from June 1, 2012, to December 31, 2017. Propensity score matching was employed to establish comparability between the two groups regarding covariates. Subsequently, a nomogram was constructed to predict the probability of AKI occurrence among patients who underwent furosemide treatment.

RESULTS

The regression analysis identified the single-day total dose of furosemide as the most significant factor for AKI, followed by ICU administration, estimated glomerular filtration rate, antibiotic, statin, NSAIDs, β-blockers, proton pump inhibitor, chronic kidney disease, and 7 other indicators. Subgroup analysis revealed a synergistic effect of furosemide with surgical operation, previous treatment with β-blockers, ACEI/ARB and antibiotics, leading to an increased risk of AKI when used in combination. Subsequently, a visually represented prognostic nomogram was developed to predict AKI occurrence in furosemide users. The predictive accuracy of the nomogram was assessed through calibration analyses, demonstrating an excellent agreement between the nomogram predictions and the actual likelihood of AKI, with a probability of 77.40%.

CONCLUSIONS

Careful consideration of factors such as dosage, concurrent medication use, and renal function of the patient is necessary for clinical practice when using furosemide. Our practical prognostic model for HA-AKI associated with furosemide use can be utilized to assist clinicians in making informed decisions about patient care and treatment.