A Survey of the FDA's Adverse Event Reporting System Database Concerning Urogenital Tract Infections and Sodium Glucose Cotransporter-2 Inhibitor Use

Urinary tract infections and genital mycotic infections associated with SGLT‑2 inhibitors: an analysis of the FDA Adverse Event Reporting System

BACKGROUND

Sodium-glucose cotransporter-2 (SGLT-2) inhibitors are a class of antihyperglycemic agents, including canagliflozin, dapagliflozin, empagliflozin, and ertugliflozin. Risk of urinary tract infections (UTIs) and genital mycotic infections (GMIs) associated with SGLT‑2 inhibitors is of great clinical significance. The study aimed to assess the association between SGLT-2 inhibitors and occurrences of UTIs and GMIs using the FDA Adverse Event Reporting System (FAERS) database.

METHODS

We used OpenVigil 2.1-MedDRA-v24 to query the FAERS database. Disproportionality analysis was performed to detect adverse event signals. Reporting Odds Ratio (ROR) and Proportional Reporting Ratio (PRR) were calculated to measure the disproportionality.

RESULTS

A total of 45,256 reports related to the use of SGLT-2 inhibitors, including 1,714 UTI cases and 438 GMI cases, were retrieved. Potential positive signals for UTIs and GMIs were identified for canagliflozin, dapagliflozin, empagliflozin, and ertugliflozin in adult patients of all ages and both sexes.

CONCLUSIONS

Data mining in the FAERS database suggests strong association between SGLT-2 inhibitors and UTIs/GMIs. These findings provide real-world evidence on the potential risk of UTIs/GMIs related to SGLT-2 inhibitors.

Hepatitis-related adverse events associated with immune checkpoint inhibitors in cancer patients: an observational, retrospective, pharmacovigilance study using the FAERS database

Background: Immune checkpoint inhibitors (ICIs), including anti-PD-1, anti-PD-L1 and anti-CTLA-4 antibodies, have become a standard treatment for multiple cancer types. However, ICIs can induce immune-related adverse events, with hepatitis-related adverse events (HRAEs) being of particular concern. Our objective is to identify and characterize HRAEs that exhibit a significant association with ICIs using real-world data. Methods: In this observational and retrospective pharmacovigilance study, we extracted real-world adverse events reports from the FDA Adverse Event Reporting System database spanning from the first quarter of 2004 to the first quarter of 2023. We conducted both Frequentist and Bayesian methodologies in the framework of disproportionality analysis, which included the reporting odds ratios (ROR) and information components (IC) to explore the intricate relationship between ICIs and HRAEs. Results: Through disproportionality analysis, we identified three categories of HRAEs as being significantly related with ICIs, including autoimmune hepatitis (634 cases, ROR 19.34 [95% CI 17.80-21.02]; IC025 2.43), immune-mediated hepatitis (546 cases, ROR 217.24 [189.95-248.45]; IC025 4.75), and hepatitis fulminant (80 cases, ROR 4.56 [3.65-5.70]; IC025 0.49). The median age of patients who report ICI-related HRAEs was 63 years (interquartile range [IQR] 53.8-72), with a fatal outcome observed in 24.9% (313/1,260) of these reports. Cases pertaining to skin cancer, lung cancer, and kidney cancer constituted the majority of these occurrences. Patients treated with anti-PD-1 or anti-PD-L1 antibodies exhibited a higher frequency of immune-mediated hepatitis in comparison to those undergoing anti-CTLA-4 monotherapy, with a ROR of 3.59 (95% CI 1.78-6.18). Moreover, the dual ICI therapy demonstrated higher reporting rates of ICI-related HRAEs compared to ICI monotherapy. Conclusion: Our findings confirm that ICI treatment carries a significant risk of severe HRAEs, in particular autoimmune hepatitis, immune-mediated hepatitis, and hepatitis fulminant. Healthcare providers should exercise heightened vigilance regarding these risks when managing patients receiving ICIs.

Immune Checkpoint Inhibitors-Associated Diabetes and Ketoacidosis Were Found in FDA Adverse Event Reporting System: A Real-World Evidence Database Study

OBJECTIVE

To investigate the risk of developing diabetes and ketoacidosis in clinical patients with immune checkpoint inhibitors (ICIs).

METHODS

We looked in the FDA Adverse Event Reporting System for reports of ICIs-associated diabetes mellitus (DM) and ketoacidosis between January 2004 and March 2022. We explored the signals using fourfold table-based proportional imbalance algorithms. Patient characteristics, country distribution, and outcomes of adverse reactions were described. Kruskal-Wallis test was used to compare the time of onset and prognosis of adverse reactions.

RESULTS

A total of 2110 reports of ICIs-related DM were included in the study. The largest number of reports was from Japan (752, 35.64%), followed by the United States and France (624, 29.57%; 183, 8.67%). Seven drugs detected signals of DM and ketoacidosis according to 4 proportional imbalance algorithms: nivolumab, pembrolizumab, cemiplimab, dostarlimab, atezolizumab, avelumab, and durvalumab. Diabetes and ketoacidosis generally occurred early in the course of ICIs treatment, the median time to event onset was 144.5 (interquartile range 27-199) days. ICIs-related diabetes and ketoacidosis events resulted in 934 major medical events (44.3%), 524 hospitalizations (24.8%), 60 life-threatening events (2.8%), 42 deaths (2.0%), and 39 disability events (1.8%).

CONCLUSION

The study reveals the risk and characteristics of diabetes and ketoacidosis associated with ICIs, which may provide evidence for postmarketing evaluation. Careful consideration should be given to the possibility of an increased risk of diabetes and ketoacidosis after using ICIs, and careful monitoring for diabetes and ketoacidosis is recommended.

Drug-associated kidney injury in children: a disproportionality analysis of the FDA Adverse Event Reporting System

Drug-associated kidney injury is related to longer hospitalization and increased risk of chronic kidney disease and mortality. However, there is currently a lack of large population studies on drug-associated kidney injury in children. This study aimed to study perform data mining to generate hypotheses on drugs, which may deserve to be assessed as per their potential risk of increasing kidney injury in children. We extracted and analyzed reports on drugs associated with kidney injury in children in the FDA Adverse Event Reporting System (FAERS). We conducted a disproportionality analysis using proportional reporting ratio (PRR) to evaluate the association between drugs and kidney injury in children. Meanwhile, comparisons were performed with drug labels to identify drugs that, despite not having kidney injury currently mentioned in their labels, may potentially be associated with risks of kidney injury in children. A total of 6347 children had drug-associated kidney injury in the FAERS database. The top five drugs with the highest PRR were gentamicin (PRR = 12.28, N = 157 cases, Chi-Squared = 1602.77), piperacillin-tazobactam (PRR = 9.77, N = 129 cases, Chi-Squared = 1003.24), amlodipine (PRR = 8.98, N = 271 cases, Chi-Squared = 1861.46), vancomycin (PRR = 8.91, N = 295 cases, Chi-Squared = 1998.64), and ceftriaxone (PRR = 8.00, N = 251 cases, Chi-Squared = 1494.02). According to drug labels, 9 drugs (9/30) were classified as potential nephrotoxins.

CONCLUSIONS

Approximately one-third of drugs associated with kidney injury in children do not list kidney injury as a side effect in their drug labels. Future studies are therefore warranted to evaluate whether these drugs are associated with such a risk.

WHAT IS KNOWN

• Nephrotoxic drugs are an increasingly common cause of acute kidney injury in hospitalized children. • Currently, no study has systematically combed drugs associated with kidney injury in children.

WHAT IS NEW

• Approximately a third of drugs showing signals for potential kidney injury in children in data mining do not mention this side effect in their drug labels. • This study provides data on drugs needing further study to determine whether they might increase the risk of kidney injury in children.

Assessing adverse drug reaction reports for antidiabetic medications approved by the food and drug administration between 2012 and 2017: a pharmacovigilance study

Objective

Between 2012 and 2017, the U.S. Food and Drug Administration (FDA) approved 10 antidiabetic indicated therapies. Due to the limited literature on voluntarily reported safety outcomes for recently approved antidiabetic drugs, this study investigated adverse drug reactions (ADRs) reported in the FDA Adverse Event Reporting System (FAERS).

Research Design and Methods

A disproportionality analysis of spontaneously reported ADRs was conducted. FAERS reports from January 1, 2012 to March 31, 2022 were compiled, allowing a 5-year buffer following drug approval in 2017. Reporting odds ratios were calculated for the top 10 ADRs, comparing new diabetic agents to the other approved drugs in their therapeutic class.

Results

127,525 reports were identified for newly approved antidiabetic medications listed as the primary suspect (PS). For sodium-glucose co-transporter-2 (SGLT-2) inhibitors, the odds of blood glucose increased, nausea, and dizziness being reported was greater for empagliflozin. Dapagliflozin was associated with greater reports of weight decreased. Canagliflozin was found to have a disproportionally higher number of reports for diabetic ketoacidosis, toe amputation, acute kidney injury, fungal infections, and osteomyelitis. Assessing glucagon-like peptide-1 (GLP-1) receptor agonists, dulaglutide and semaglutide were associated with greater reports of gastrointestinal adverse drug reactions. Exenatide was disproportionally associated with injection site reactions and pancreatic carcinoma reports.

Conclusion

Pharmacovigilance studies utilizing a large publicly available dataset allow an essential opportunity to evaluate the safety profile of antidiabetic drugs utilized in clinical practice. Additional research is needed to evaluate these reported safety concerns for recently approved antidiabetic medications to determine causality.

Clinical profile of acute pancreatitis following treatment with protease inhibitors: a real-world analysis of post-marketing surveillance data

BACKGROUNDS

Acute pancreatitis (AP) has been reported in patients treated with protease inhibitors (PIs), but there are few real-world studies comparing the occurrence and characteristics of AP after different PI regimens.

RESEARCH DESIGN AND METHODS

Disproportionality analysis and Bayesian analysis were utilized for data mining of the Food and Drug Administration's Adverse Event Reporting System (FAERS) database for suspected adverse events involving AP after PI. The times to onset and fatality rates of AP following different PI regimens were also compared.

RESULTS

Based on 33,832 reports related to PIs, 285 cases were associated with AP, involving with 12 out of the 15 studied PIs. Of all the reported AP events related to PIs, 64.56% occurred in men and the median time to onset of AP was 103 (IQR: 26-408) days after the initiation of PI treatment with a fatality rate of 14.02%. Among all PI therapies, indinavir was notably associated with AP, and ritonavir and lopinavir/ritonavir-induced AP cases appeared to be associated with a higher risk of death.

CONCLUSIONS

Most of PIs were associated with AP-related adverse events, among which indinavir has a stronger association with AP but there is no significant difference in fatality rates.

Efficacy, renal safety and tolerability of sodium-glucose cotransporter 2 inhibitors (SGLT2i) in elderly patients with type 2 diabetes: A real-world experience

AIMS

To evaluate efficacy, renal safety and tolerability of sodium-glucose cotransporter 2 inhibitors (SGLT2i) in a cohort of patients with type 2 diabetes (T2DM) aged ≥65 years.

METHODS

We retrospectively evaluated 364 elderly individuals with T2DM starting SGLT2i from June 2015 to June 2018. Patients were divided into 2 subgroups based on median age (70 years). Linear mixed effect models were used to estimate changes in glycated hemoglobin (HbA1c), body mass index (BMI), and glomerular filtration rate (eGFR). SGLT2i discontinuation rate and causes of treatment interruption were also recorded.

RESULTS

A significantly higher percentage of patients achieved HbA1c <7.5% (46.7% vs. 31.6%, p < 0.01) and <8.0% (68.9% vs. 47.2%, p < 0.01) compared to baseline. Each year of therapy was associated with an average HbA1c decrease of 0.34% (p < 0.01) and BMI loss of 0.71 kg/m² (p < 0.01), without significant interaction across age classes. In the younger group eGFR increased by 1.02 ml/min/year, while in the older group it declined by 0.42 ml/min/year (p = 0.08). Overall discontinuation rate during the follow-up period was similar across age groups (34.2% vs. 36.1%, long-rank p = 0.26). Genitourinary infections were the most frequent cause of treatment interruption (15.8% vs. 17.2%, p = 0.69) in both study groups, while persistent eGFR decline (4.4%) and orthostatic hypotension (1.7%) were only present in older age class.

CONCLUSIONS

Efficacy, renal safety and tolerability of SGLT2i were similar in people >70 compared to 65-70 years of age, suggesting that a wider use should not be worried even in the elderly. However, some caution must be paid to the occurrence of persistent eGFR decline and orthostatic hypotension, especially in patients >70 years old.

Do sodium-glucose cotransporter 2 inhibitors lead to fracture risk? A pharmacovigilance real-world study

Aims/Introduction

Given the mechanism of action of sodium–glucose cotransporter 2 inhibitors (SGLT2is), these drugs can also reduce bone density and increase fracture risk. We aimed to identify and characterize fracture‐related adverse events that are associated with SGLT2is.

Materials and Methods

In this observational, retrospective, pharmacovigilance, real‐world study, we used disproportionality and Bayesian analyses to compare fracture‐related adverse event reporting in patients who received SGLT2is from the first quarter in 2004 to the fourth quarter in 2019 in the Food and Drug Administration Adverse Event Reporting System. We also compared the effect on combined therapy with SGLT2is and other glucose‐lowering medications (GLMs), and compared their onset times and outcomes.

Results

A total of 317 SGLT2is‐associated fractures were identified. Affected patients tended to be aged >45 years (68.76%) and were more often male than female (58.04% vs 34.07%). SGLT2is‐associated fracture is most commonly reported with canagliflozin (51.10%), dapagliflozin (24.60%) and empagliflozin (23.66%). SGLT2is or SGLT2is combined with GLMs do not show an association with fracture risk under disproportionality and Bayesian analyses. SGLT2i‐associated fractures result in hospitalization in 66.64% of patients and death in 9.38% of patients. GLMs show an increased hospitalization rate compared with SGLT2is (69.72% vs 55.14%, P < 0.0001) and GLMs plus SGLT2is (69.72% vs 61.20%, P = 0.0197).

Conclusions

Based on the Food and Drug Administration Adverse Event Reporting System database, no association is noted between fracture risk and SGLT2is, or SGLT2is combined with GLMs. Long‐term follow up and high‐quality studies need to further verify and explore the relationship between SGLT2is and fractures.

Acute Renal Failure, Ketoacidosis, and Urogenital Tract Infections with SGLT2 Inhibitors: Signal Detection Using a Japanese Spontaneous Reporting Database

BACKGROUND

Sodium-glucose cotransporter-2 (SGLT2) inhibitors are a class of oral anti-hyperglycemic agents that have been available on the market in Japan since 2014. Although safety information has accumulated alongside the clinical use, the warnings issued by each country based on adverse events associated with the drug are different and examination of the safety of the drug is insufficient.

OBJECTIVE

This study examined the safety of SGLT2 inhibitors by using a Japanese spontaneous reporting database and focusing on the cautions issued in each country and the disparities within existing research into the occurrence of the adverse events of acute renal failure (ARF), ketoacidosis, and urogenital tract infections (UTIs).

PATIENTS AND METHODS

We analyzed data recorded on the Japanese Adverse Drug Event Report database (JADER) between April 2014 and February 2019. We calculated the reporting odds ratio (ROR) and 95% confidence interval (CI) with sex and age as adjustment factors.

RESULTS

JADER contained 366,501 cases with the adverse events of interest; 4322 involved SGLT2 inhibitors. The ROR for SGLT2 inhibitors was calculated as 1.0 (95% CI 0.9-1.2) for ARF, 72.2 (95% CI 59.3-87.8) for ketoacidosis, and 14.0 (95% CI 11.0-17.8) for UTIs. Analysis of only subjects receiving treatment for diabetes showed a similar trend.

CONCLUSION

The results suggested a correlation between SGLT2 inhibitors and the onset of ketoacidosis and UTIs, but not between SGLT2 inhibitors and ARF. Further verification of the safety of SGLT2 inhibitors, through continued risk assessments and large-scale clinical studies, are necessary.

Fournier Gangrene Associated with Sodium-Glucose Cotransporter-2 Inhibitors: A Pharmacovigilance Study with Data from the U.S. FDA Adverse Event Reporting System

BACKGROUND

The U.S. Food and Drug Administration (FDA) released a safety warning of Fournier gangrene (FG), a rare but serious adverse effect of sodium-glucose cotransporter-2 (SGLT2) inhibitors in August 2018. However, existing studies have focused mainly on individual FG case reports. Although several previous studies conducted reviews of cases, objective scientific analysis was not applied, and the prognosis data were inadequate.

OBJECTIVE

This study is aimed at presenting data supplementary to existing studies by analysing postmarketing adverse event reports in the FDA Adverse Events Reporting System (FAERS) database. Multiple statistical analysis methods were applied to evaluate the potential association between SGLT2 inhibitors and FG, thus providing reliable and professionalized medication usage recommendations for SGLT2 inhibitors in clinical practice.

METHODS

Disproportionality analysis and Bayesian analysis were applied for data mining among the suspected adverse event reports of FG associated with SGLT2 inhibitors recorded in the FAERS database during the period from January 2004 to September 2019.

RESULTS

There were 542 FG cases identified in the FAERS database in patients receiving SGLT2 inhibitors. Among all SGLT2 inhibitor therapies, empagliflozin was associated with the highest number of FG reports (232 in total), while empagliflozin plus metformin had the strongest association with FG occurrence with the reporting odds ratio (ROR 54.79, 95% two-sided CI 31.56 to 95.12) and proportional reporting ratio (PRR 53.36, χ 2 666.70). There were 391 patients who underwent initial or prolonged hospitalization (72.14%), and 26 patients died (4.81%). Three new FG cases caused by ertugliflozin were found in 2019.

CONCLUSION

The analysis of SGLT2 inhibitor-associated FG reports in the FAERS database identified signals between the drug and adverse events of interest. It also provides comprehensive information on the characteristics of FG onset and prognosis. Clinicians should pay more attention to this rare but severe adverse event when prescribing SGLT2 inhibitors in clinical practice.

A Review of Drug Side Effect Identification Methods

Drug side effects have become an important indicator for evaluating the safety of drugs. There are two main factors in the frequent occurrence of drug safety problems; on the one hand, the clinical understanding of drug side effects is insufficient, leading to frequent adverse drug reactions, while on the other hand, due to the long-term period and complexity of clinical trials, side effects of approved drugs on the market cannot be reported in a timely manner. Therefore, many researchers have focused on developing methods to identify drug side effects. In this review, we summarize the methods of identifying drug side effects and common databases in this field. We classified methods of identifying side effects into four categories: biological experimental, machine learning, text mining and network methods. We point out the key points of each kind of method. In addition, we also explain the advantages and disadvantages of each method. Finally, we propose future research directions.