Fibrosing colonopathy associated with cysteamine bitartrate delayed-release capsules in cystinosis patients.

BACKGROUND: The objective of this report is to identify and characterize cases of fibrosing colonopathy, a rare and underrecognized adverse event, associated with cysteamine delayed-release (DR) in patients with nephropathic cystinosis. METHODS: We searched the U.S. Food and Drug Administration Adverse Event Reporting System (FAERS) and the medical literature for postmarketing reports of fibrosing colonopathy associated with cysteamine through August 2, 2023. RESULTS: We identified four cases of fibrosing colonopathy reported with the use of cysteamine DR. The time to onset ranged from 12 to 31 months. In one case, the patient required surgery to have a resection of a section of the strictured colon and a diverting ileostomy. Fibrosing colonopathy was diagnosed by histopathology in two of the cases. CONCLUSIONS: Our case series identified the risk of fibrosing colonopathy in patients taking cysteamine DR and prompted regulatory action by the FDA. As outlined in changes to the U.S. prescribing information for cysteamine DR, healthcare professionals should be aware of the potential risk of fibrosing colonopathy with cysteamine DR, especially as symptoms can be non-specific leading to misdiagnosis or delayed diagnosis. If the diagnosis of fibrosing colonopathy is confirmed, consideration should be given to permanently discontinuing cysteamine DR and switching to cysteamine immediate-release treatment.

Sociodemographic Characteristics of Adverse Event Reporting in the USA: An Ecologic Study.

INTRODUCTION: The Food and Drug Administration Adverse Event Reporting System (FAERS) is a vital source of new drug safety information, but whether adverse event (AE) information collected from these systems adequately captures experiences of the overall United States (US) population is unknown. OBJECTIVE: To examine determinants of consumer AE reporting in the USA. METHODS: Five-year AE reporting rate per 100,000 residents per US county were calculated, mapped, and quartiled for AE reports received directly from consumers between 2011 and 2015. Associations between county-level sociodemographic factors obtained from County Health Rankings and AE reporting rates were evaluated using negative binomial regression. RESULTS: Reporting rates were variable across US counties with > 17.6 reports versus ≤ 5.5 reports/100,000 residents in the highest and lowest reporting quartile, respectively. Controlling for drug utilization, counties with higher reporting rates had higher proportions of individuals age ≥ 65 years (e.g., 2.4% reporting increase per 1% increase in individuals age > 65, incidence rate ratio (IRR): 1.024, 95% confidence interval (CI): 1.017-1.030), higher proportions of females (IRR: 1.027, 95% CI 1.012-1.043), uninsured (IRR: 1.009, 95% CI 1.005-1.013), higher median log household incomes (IRR: 1.897, 95% CI 1.644-2.189) and more mental health providers per 100,000 residents (IRR: 1.003, 95% CI 1.001-1.004). Lower reporting was observed in counties with higher proportions of individuals age ≤ 18 years (IRR: 0.966, 95% CI 0.959-0.974), American Indian or Alaska Native individuals (IRR: 0.991, 95% CI 0.986-0.996), individuals not proficient in English (IRR: 0.978, 95% CI 0.965-0.991), and individuals residing in rural areas within a county (IRR: 0.998, 95% CI 0.997-0.998). CONCLUSIONS: Observed variations in consumer AE reporting may be related to sociodemographic factors and healthcare access. Because these factors may also correspond to AE susceptibility, voluntary AE reporting systems may be suboptimal for capturing emerging drug safety concerns among more vulnerable populations.

Characterization of Pediatric Reports in the US Food and Drug Administration Adverse Event Reporting System from 2010-2020: A Cross-Sectional Study.

INTRODUCTION: The Food and Drug Administration Adverse Event Reporting System (FAERS) is a database of adverse event (AE) and medication error reports for drugs and therapeutic biologics. Examining trends of reported individual case safety reports (ICSRs) provides context for evaluating safety concerns. OBJECTIVE: Characterize pediatric FAERS ICSRs and compare trends (1) to adult reports; (2) within pediatric subgroups. METHODS: This cross-sectional study examined FAERS ICSRs received between January 1, 2010, through December 31, 2020. Stratified age bands were neonates, infants, younger children, older children, adolescents, and adults. We characterized groups by patient demographic information, suspect products, AEs, and reporter type. RESULTS: From 2010 to 2020, there were 11,258,995 FAERS ICSRs; 3.1% described pediatric patients. Compared to adults, pediatric ICSRs had higher proportions of all serious outcomes except death. Within pediatric subgroups, neonates had the highest proportions of serious outcomes (96.2%) compared to infants, younger children, older children, and adolescents (79.8%, 67.9%, 59.5%, and 52.7%, respectively). Younger pediatric age groups were more likely to have weight information than older age groups but were less likely to include gender information. The most frequently reported AE was off label use for pediatrics and drug ineffective for adults. Products and AEs reported also differed among pediatric subgroups. Neonates, infants, and adolescents had entirely distinct sets of top five product-event combinations. CONCLUSION: Pediatric ICSRs represent a minority of FAERS reports but have distinctly different attributes relative to adult ICSRs. Reporting trends also vary within pediatric subgroups, which highlights the need for unique considerations for pediatric safety surveillance.

Leveraging Case Narratives to Enhance Patient Age Ascertainment from Adverse Event Reports.

INTRODUCTION: Missing age presents a significant challenge when evaluating individual case safety reports (ICSRs) in the FDA Adverse Event Reporting System (FAERS). When age is missing in an ICSR's structured field, it may be in the report's free-text narrative. OBJECTIVES: This study aimed to evaluate the performance and assess the potential impact of a rule-based natural language processing (NLP) tool that utilizes a text string search to identify patients' numerical age from unstructured narratives. METHODS: Using FAERS ICSRs from 2002 to 2018, we evaluated the annual proportion of ICSRs with age missing in the structured field before and after NLP application. Reviewers manually identified patients' age from ICSR narratives (gold standard) from a random sample of 1500 ICSRs. The gold standard was compared to the NLP-identified age. RESULTS: During the study period, the percentage of ICSRs missing age in the structured field increased from 21.9 to 43.8%. The NLP tool performed well among the random sample: sensitivity 98.5%, specificity 92.9%, positive predictive value (PPV) 94.9%, and F-measure 96.7%. It also performed well for the subset of ICSRs missing age in the structured field; when applied to these cases, NLP identified age for an additional one million ICSRs (10% of the total number of ICSRs from 2002 to 2018) and decreased the percentage of ICSRs missing age to 27% overall. CONCLUSIONS: NLP has potential utility to extract patients' age from ICSR narratives. Use of this tool would enhance pharmacovigilance and research using FAERS data.

Feature engineering and machine learning for causality assessment in pharmacovigilance: Lessons learned from application to the FDA Adverse Event Reporting System.

BACKGROUND: Our objective was to support the automated classification of Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) reports for their usefulness in assessing the possibility of a causal relationship between a drug product and an adverse event. METHOD: We used a data set of 326 redacted FAERS reports that was previously annotated using a modified version of the World Health Organization-Uppsala Monitoring Centre criteria for drug causality assessment by a group of SEs at the FDA and supported a similar study on the classification of reports using supervised machine learning and text engineering methods. We explored many potential features, including the incorporation of natural language processing on report text and information from external data sources, for supervised learning and developed models for predicting the classification status of reports. We then evaluated the models on a larger data set of previously unseen reports. RESULTS: The best-performing models achieved recall and F1 scores on both data sets above 0.80 for the identification of assessable reports (i.e. those containing enough information to make an informed causality assessment) and above 0.75 for the identification of reports meeting at least a Possible causality threshold. CONCLUSIONS: Causal inference from FAERS reports depends on many components with complex logical relationships that are yet to be made fully computable. Efforts focused on readily addressable tasks, such as quickly eliminating unassessable reports, fit naturally in SE's thought processes to provide real enhancements for FDA workflows.

Food and Drug Administration Beyond the 2001 Government Accountability Office Report: Promoting Drug Safety for Women.

A 2001 U.S. Government Accountability Office (GAO) report indicated 8 of 10 drugs withdrawn from the U.S. market between 1997 and 2000 posed greater risk to women than men. We examined drugs withdrawn from the market for safety-related reasons from January 1, 2001, to January 1, 2018. To be included, drugs must be listed as discontinued on Drugs@FDA and either listed in the Federal Register or cited in literature as being withdrawn for safety-related reasons. Biologics, over-the-counter products, and medical devices were excluded. During the 17-year time span, 19 drugs were withdrawn from the market for safety-related reasons, fewer drugs per year compared to the 3-year period examined in the GAO report. Food and Drug Administration (FDA) has not recommended the market removal of any drug approved since 2005 due to the time from the start of the Q wave to the end of the T wave (QT) interval prolongation resulting in torsades de pointes (TdP) or other abnormal heart rhythms. Furthermore, no drugs approved after the implementation of FDA's 2009 guidance on drug-induced liver injury (DILI) have been withdrawn because of hepatoxicity. All, but one of the drugs discontinued from the market for safety-related reasons during the period examined were approved between 1957 and 2002. TdP and DILI are two relevant examples of drug-induced adverse events posing greater risk to women than men. FDA has made measurable progress incorporating consideration of sex and gender differences into drug trial development and FDA review of these data, supporting inclusion of women in clinical trials, providing a comprehensive drug safety review, and advancing postmarket surveillance and risk assessment, thus strengthening FDA's ability to protect public health.

Complementary Use of U.S. FDA's Adverse Event Reporting System and Sentinel System to Characterize Direct Oral Anticoagulants-Associated Cutaneous Small Vessel Vasculitis.

BACKGROUND: Cutaneous small vessel vasculitis (CSVV) has been reported after exposure to direct oral anticoagulants (DOACs), such as dabigatran, rivaroxaban, apixaban, and edoxaban. OBJECTIVE: We used the U.S. Food and Drug Administration Adverse Event Reporting System (FAERS) to describe clinical characteristics associated with CSVV among DOAC-exposed patients. Furthermore, we characterized this signal in the Sentinel System to relate the clinical data from the individual FAERS cases to population-based electronic healthcare data. METHODS: We queried FAERS for all cases of CSVV associated with DOACs from U.S. approval date of each DOAC through March 16, 2018. Within the Sentinel System, we identified incident CSVV cases using ICD-9 and ICD-10 diagnosis codes among adults aged ≥ 30 years who received a DOAC in the prior 90 days between January 1, 2010, and June 30, 2018. We excluded patients with evidence of select autoimmune diagnoses in the 183 days prior to their CSVV diagnoses and reported patient characteristics in the 183-day period prior to CSVV diagnoses. RESULTS: In FAERS, we identified 50 cases of CSVV reported with rivaroxaban (n=26), apixaban (n=14), dabigatran (n=9), and edoxaban (n=1). Approximately 50% of the cases reported time to onset within 10 days after DOAC exposure. When specified, the predominant type of CSVV reported was leukocytoclastic vasculitis (n=31), followed by Henoch-Schonlein purpura (n=4). Hospitalization occurred in most of the cases (n=37). Switching of the offending agent after the development of CSVV was reported (n=26). Three rivaroxaban (n=3) cases and one dabigatran case (n=1) reported positive rechallenge. In the Sentinel system, we identified 3659 CSVV cases with prior DOAC exposure, with 85% of events occurring within 10 days. CONCLUSIONS: The assessment of FAERS cases, combined with the temporal clustering of the Sentinel System cases suggest a possible causal relationship of DOACs and CSVV. Future efforts should characterize the risk of CSVV among the various DOAC users.

An Evaluation of Postmarketing Reports with an Outcome of Death in the US FDA Adverse Event Reporting System.

INTRODUCTION: Adverse reactions with an outcome of death are inherently important for pharmacovigilance organizations to evaluate. Prior efforts to systematically evaluate individual case safety reports (ICSRs) with an outcome of death have been limited to high-level summaries. OBJECTIVE: The aim of this study was to characterize ICSRs with an outcome of death contained in the US FDA Adverse Event Reporting System (FAERS) database. METHODS: All ICSRs received through 31 December 2017 reporting an outcome of death were characterized by patient demographics, suspect product(s), adverse events, and reporter type. Using the ICSR's narrative and reporter information, we classified ICSRs by source to include those from industry-sponsored programs, poison control centers, specialty pharmacies, and litigation. Additionally, a random sample of ICSRs was evaluated for completeness of structured data fields and manually reviewed for the availability of key information in the narrative (i.e. cause of death, medical history, and causality assessment). RESULTS: Overall, 1,053,716 ICSRs with a death outcome were received in the study period. Ten medications treating conditions for malignancies, pain, and kidney disease accounted for nearly 20% of all fatal ICSRs. ICSRs originating from industry-sponsored programs, poison control centers, litigation, and specialty pharmacies accounted for 14%, 6.5%, 5.0%, and 3.3% of all fatal ICSRs, respectively. ICSRs in which the only adverse event coded was 'death' were more likely to be missing structured data and less likely to include key information in the narrative. CONCLUSION: Understanding the origins and characteristics of ICSRs with an outcome of death supports meaningful evaluations and interpretations of FAERS data. A wide variability in ICSR quality exists, even in those reports with the most serious outcome.

Towards Automating Adverse Event Review: A Prediction Model for Case Report Utility.

INTRODUCTION: The rapidly expanding size of the Food and Drug Administration's (FDA) Adverse Event Reporting System database requires modernized pharmacovigilance practices. Techniques to systematically identify high utility individual case safety reports (ICSRs) will support safety signal management. OBJECTIVES: The aim of this study was to develop and validate a model predictive of an ICSR's pharmacovigilance utility (PVU). METHODS: PVU was operationalized as an ICSR's inclusion in an FDA-authored pharmacovigilance review's case series supporting a recommendation to modify product labeling. Multivariable logistic regression models were used to examine the association between PVU and ICSR features. The best performing model was selected for bootstrapping validation. As a sensitivity analysis, we evaluated the model's performance across subgroups of safety issues. RESULTS: We identified 10,381 ICSRs evaluated in 69 pharmacovigilance reviews, of which 2115 ICSRs were included in a case series. The strongest predictors of ICSR inclusion were reporting of a designated medical event (odds ratio (OR) 1.93, 95% CI 1.54-2.43) and positive dechallenge (OR 1.67, 95% CI 1.50-1.87). The strongest predictors of ICSR exclusion were death reported as the only outcome (OR 2.72, 95% CI 1.76-4.35), more than three suspect products (OR 2.69, 95% CI 2.23-3.24), and > 15 preferred terms reported (OR 2.69, 95% CI 1.90-3.82). The validated model showed modest discriminative ability (C-statistic of 0.71). Our sensitivity analysis demonstrated heterogeneity in model performance by safety issue (C-statistic range 0.58-0.74). CONCLUSIONS: Our model demonstrated the feasibility of developing a tool predictive of ICSR utility. The model's modest discriminative ability highlights opportunities for further enhancement and suggests algorithms tailored to safety issues may be beneficial.

Impact of a New Consumer Form on the Quantity and Quality of Adverse Event Reports Submitted to the United States Food and Drug Administration.

STUDY OBJECTIVE: Consumers and healthcare professionals can voluntarily report adverse experiences associated with drug products to the United States Food and Drug Administration's (FDA) Adverse Event Reporting System (FAERS). Consumers and healthcare professionals used the same general voluntary reporting form (GVR) until mid-2013, when a consumer voluntary reporting form (ConVR), written in plain language, was implemented. The objective of this study was to examine the effect of the ConVR on the quality and quantity of consumer reports submitted directly to FAERS. DESIGN: Descriptive; quasi-experimental. DATA SOURCE: FAERS database. MEASUREMENTS AND MAIN RESULTS: We identified all consumer and healthcare professional reports received directly by the FDA from January 1, 2011, through December 31, 2015. Report quality was defined by the completeness of 15 individual data fields and a structured tool measuring clinical documentation. An interrupted time series design was used to evaluate the impact on the quantity of consumer reports. Consumer reports submitted on the ConVR generally included more patient, product, and event data in the structured data fields than those submitted on the GVR. Fields with the greatest absolute percentage difference after the ConVR was introduced included race/ethnicity (+77.2%), product start and stop dates (+43% and +40.3%, respectively), dechallenge and rechallenge information (+19.1% and +29.4%, respectively), and medical history (+27%). Our structured assessment also classified more reports received on the ConVR as well documented relative to the GVR consumer reports (64.9% vs 37.8%, p<0.01). The time series model demonstrated an immediate increase of 499 consumer reports in the month following the ConVR's implementation (p<0.01). CONCLUSION: Our findings suggest that the ConVR has contributed positively to both the quality and quantity of consumer reports in FAERS.

Predicting medication-associated altered mental status in hospitalized patients: Development and validation of a risk model.

PURPOSE: This study presents a medication-associated altered mental status (AMS) risk model for real-time implementation in inpatient electronic health record (EHR) systems. METHODS: We utilized a retrospective cohort of patients admitted to 2 large hospitals between January 2012 and October 2013. The study population included admitted patients aged ≥18 years with exposure to an AMS risk-inducing medication within the first 5 hospitalization days. AMS events were identified by a measurable mental status change documented in the EHR in conjunction with the administration of an atypical antipsychotic or haloperidol. AMS risk factors and AMS risk-inducing medications were identified from the literature, drug information databases, and expert opinion. We used multivariate logistic regression with a full and backward eliminated set of risk factors to predict AMS. The final model was validated with 100 bootstrap samples. RESULTS: During 194,156 at-risk days for 66,875 admissions, 262 medication-associated AMS events occurred (an event rate of 0.13%). The strongest predictors included a history of AMS (odds ratio [OR], 9.55; 95% confidence interval [CI], 5.64-16.17), alcohol withdrawal (OR, 3.34; 95% CI, 2.18-5.13), history of delirium or psychosis (OR, 3.25; 95% CI, 2.39-4.40), presence in the intensive care unit (OR, 2.53; 95% CI, 1.89-3.39), and hypernatremia (OR, 2.40; 95% CI, 1.61-3.56). With a C statistic of 0.85, among patients scoring in the 90th percentile, our model captured 159 AMS events (60.7%). CONCLUSION: The risk model was demonstrated to have good predictive ability, with all risk factors operationalized from discrete EHR fields. The real-time identification of higher-risk patients would allow pharmacists to prioritize surveillance, thus allowing early management of precipitating factors.

Evaluation of Postmarketing Reports from Industry-Sponsored Programs in Drug Safety Surveillance.

INTRODUCTION AND OBJECTIVE: Adverse event reports from industry-sponsored programs, such as patient support programs, have contributed to a rise in the number of individual case safety reports in the US Food and Drug Administration Adverse Event Reporting System database. This study aimed to characterize individual case safety reports from industry-sponsored program and non-industry-sponsored program sources and compare their usefulness in safety signal detection. METHODS: Individual case safety reports of six drug and biological products were identified in the Food and Drug Administration Adverse Event Reporting System database between the date of Food and Drug Administration product approval and the first quarter of 2017. A random subset of industry-sponsored program and non-industry-sponsored program individual case safety reports were then compared to identify differences in reporters, outcomes, data completeness, and usefulness. The 'usefulness' of individual case safety reports was assessed by manually reviewing the availability of key information in the narrative (e.g., temporality, comorbidities). RESULTS: Compared with non-industry-sponsored program reports, more industry-sponsored program reports were associated with a serious outcome (51.4% vs. 58.8%, p = 0.02) and were reported by consumers (35.5% vs. 50.4%, p < 0.01). Industry-sponsored program reports tended to contain more data elements than non-industry-sponsored program reports (i.e., age, sex, indication for use), but completeness was variable across products. No significant difference in usefulness was identified between non-industry-sponsored program and industry-sponsored program individual case safety reports (30.6% vs. 28.5%, p = 0.42). Useful reports that contained at least one serious, unlabeled adverse event represented only 4% and 6.2% of the non-industry-sponsored program and industry-sponsored program report cohorts, respectively. CONCLUSIONS: Our study suggests that reports obtained from industry-sponsored programs in the Food and Drug Administration Adverse Event Reporting System database contain more data elements but are similar to non-industry-sponsored program reports with regard to 'usefulness' in signal detection.

An Evaluation of "Drug Ineffective" Postmarketing Reports in Drug Safety Surveillance.

INTRODUCTION: The most commonly reported adverse event, based on frequency of Medical Dictionary for Regulatory Activities (MedDRA) preferred terms (PTs), in the US FDA Adverse Event Reporting System (FAERS) database is "drug ineffective" (DI). This study aimed to describe the DI reports and provide data to support recommendations on how to best evaluate these reports. METHODS: We characterized all FAERS reports coded with the MedDRA PT "drug ineffective" received between 1 September 2012 and 31 August 2016 using all other FAERS reports as a comparator. Additionally, we conducted a manual evaluation to identify informative data elements in the report narratives. RESULTS: During the study period, 247,513 (6.4% of all FAERS reports) DI reports were entered in FAERS. Compared with non-DI reports, DI reports were more likely to be reported by consumers (69.8 vs. 48.1%) and less likely to report a serious outcome (26.2 vs. 56.3%). Most DI reports (88%) were from the USA. Manual evaluation of 552 sample US reports identified 43 reports (7.8%) deemed "useful"; a higher proportion of "useful" reports provided a batch or lot number (39.5 vs. 17.2%) and were coded with additional PTs beyond "drug ineffective" (83.7 vs. 59.2%), the most frequent of which were "product quality issue" (23.3%) and "product substitution issue" (18.6%). CONCLUSIONS: DI was the most frequently reported adverse event in the FAERS database; however, the yield from these reports in terms of usefulness from a pharmacovigilance perspective was low. Efficient strategies are needed to identify which DI reports are more likely to contain useful information.

Liver injury associated with dimethyl fumarate in multiple sclerosis patients.

BACKGROUND: In pre-approval trials, there was an increased incidence of mild, transient elevations of liver aminotransferases in study subjects treated with dimethyl fumarate (DMF). OBJECTIVE/METHODS: To evaluate post-marketing cases of drug-induced liver injury associated with DMF. RESULTS: We identified 14 post-marketing cases of clinically significant liver injury. Findings included newly elevated serum liver aminotransferase and bilirubin levels that developed as early as a few days after the first dose of DMF. The pattern of liver injury was primarily hepatocellular. No cases resulted in liver failure. CONCLUSION: Health professionals should be alerted to possible serious liver injury in patients receiving DMF.

Comparative effectiveness of fish oil versus fenofibrate, gemfibrozil, and atorvastatin on lowering triglyceride levels among HIV-infected patients in routine clinical care.

OBJECTIVE: The goal of this study was to compare the effectiveness of fish oil, fenofibrate, gemfibrozil, and atorvastatin on reducing triglyceride (TG) levels among a large cohort of HIV-infected patients in clinical care. DESIGN: Retrospective observational cohort study. METHODS: The primary endpoint was absolute change in TG levels measured using the last TG value pretreatment and the first TG value posttreatment. A pre-post quasi-experimental design was used to estimate the change in TG because of initiating fish oil. Linear regression models examined the comparative effectiveness of treatment with fish oil versus gemfibrozil, fenofibrate, or atorvastatin for TG reduction. Models were adjusted for baseline differences in age, sex, race, CD4⁺ cell count, diabetes, body mass index, protease inhibitor use, and time between TG measures. RESULTS: A total of 493 patients (mean age, 46 years; 95% male) were included (46 patients receiving gemfibrozil; 80, fenofibrate; 291, atorvastatin; and 76, fish oil) with a mean baseline TG of 347 mg/dL. New use of fish oil decreased TG [ΔTG, -45 mg/dL; 95% confidence interval (CI): -80 to -11] in the pre-post study. Compared with fish oil (reference), fibrates were more effective (ΔTG, -66; 95% CI: -120 to -12) in reducing TG levels, whereas atorvastatin was not (ΔTG, -39; 95% CI: -86 to 9). CONCLUSIONS: In HIV-infected patients in routine clinical care, fish oil is less effective than fibrates (but not atorvastatin) at lowering TG values. Fish oil may still represent an attractive alternative for patients with moderately elevated TGs, particularly among patients who may not want or tolerate fibrates.

Pravastatin versus simvastatin for prevention of contrast-induced nephropathy.

Contrast-induced nephropathy (CIN) is associated with long-term morbidity, mortality, and increased health care costs. It has been suggested that statins have pleiotropic effects countering inflammatory and oxidative stress involved in CIN. Several studies support this theory; however, previously published studies have not evaluated the potential differences between statins in reducing the incidence of CIN. The purpose of this retrospective, single-center trial was to compare the incidence of CIN in patients receiving simvastatin or pravastatin therapy undergoing percutaneous coronary intervention (PCI). A total of 261 patients were included (145 received simvastatin and 116 received pravastatin) with the majority undergoing elective PCI. The population was predominantly male (65%), Hispanic (65%), and diabetic (62%), with a mean age of 59 years and a low-density lipoprotein (LDL) of 85 mg/dL. No significant differences were found between groups for risk factors or prophylactic strategies (eg, hydration). Contrast-induced nephropathy occurred in 26 patients (17.9%) in the simvastatin group versus 10 (8.6%) in the pravastatin group (P < .05). No patients required dialysis as a result of contrast administration. Acute kidney injury (AKI) occurred in 21 patients (14.5%) in the simvastatin group compared to 8 (6.9%) in the pravastatin group (P < .05). In multivariate analysis, the difference between statins remained an independent predictor for the development of CIN. In conclusion, patients on pravastatin had a significantly lower incidence of CIN compared to patients on simvastatin.