UNASSIGNED: Anti-cancer drugs, particularly platinum-based chemotherapy drugs, have been showing ocular adverse events (OAEs) in patients undergoing chemotherapy, which is concerning due to the potential impact on patient\'s quality of life and the ability to continue effective cancer treatment.
UNASSIGNED: A retrospective case/non-case study was conducted using spontaneous reports on OAEs by platins from the FDA Adverse Event Reporting System (FAERS) database. A disproportionality analysis was performed by calculating the Proportional Reporting Ratio (PRR), Reporting Odds Ratio (ROR), and the Information Component (IC) to identify OAE signals for platinum-based chemotherapy drugs. In parallel, a review of case reports for OAEs from platins was conducted by a systematic literature search in PubMed and Google Scholar.
UNASSIGNED: Using disproportionality analysis, 69 signals were identified for platinum-based chemotherapy drugs and OAEs (carboplatin: 42, oxaliplatin: 16, cisplatin: 11). Choroidal infarction [PRR = 215.1; χ2 = 4527.1; lower bound (LB) ROR = 140.7; IC025 = 5.1] and orbital hemorrhage [PRR = 120.0; χ2 = 300.5; LB ROR = 35.1; IC025 = 1.3] were the strong signals identified for carboplatin. Optic disc hyperemia [PRR = 208.2; χ2 = 742.5; LB ROR = 74.1; IC025 = 2.2] and blindness cortical [PRR = 23.7; χ2 = 382.5; LB ROR = 14.8; IC025 = 3.1] were the signals identified for oxaliplatin and cisplatin, respectively. A total of 32 case reports of OAEs from platinum-based chemotherapy drugs were identified through a systematic search in PubMed and Google Scholar, strengthening the association.
UNASSIGNED: The study revealed a potential risk of OAEs when using platinum-based chemotherapy drugs as an anticancer medication.
The study aimed to investigate the risk of ocular adverse events (OAEs) associated with platinum-based chemotherapy drugs, namely cisplatin, carboplatin, and oxaliplatin. Analyzed data from pharmacovigilance databases and conducted a systematic review of case reports to identify and understand these potential risks.The Pharmacovigilance analysis revealed many reports detailing OAEs related to these platinum-based drugs. Notable findings included signals indicating serious adverse events such as blindness, retinal toxicity, and optic nerve damage. Further refinement of these signals, considering the influence of concurrent medications, confirmed the association between platinum drugs and OAEs.Additionally, the systematic review of case reports provided insights into specific OAEs observed in patients receiving platinum-based chemotherapy. Common adverse events included vision impairment, retinal issues, and tunnel vision, with some patients experiencing irreversible vision loss.The study highlighted the importance of recognizing and monitoring OAEs in platinum-based chemotherapy patients. It emphasized the need for healthcare providers to assess patients’ ocular histories carefully before treatment and for regulatory authorities to incorporate relevant findings into drug safety guidelines. Overall, the research enhances patient care and safety in cancer treatment by providing comprehensive information on the ocular toxicity associated with platinum-based chemotherapy drugs.

BACKGROUND: The coronavirus disease 2019 (COVID-19) vaccination campaign has resulted in numerous pharmacovigilance\'s safety reports which were recorded in the World Health Organization (WHO) pharmacovigilance database (VigiBase) and represent in July 2022 more than 10% of cases recorded. The information component (IC) is a statistical disproportionality measure based on the observed and expected numbers of case reports. A positive value of the lower endpoint of a 95% credibility interval for the information component (IC0.25) suggests a possible causal relationship between the drug and the adverse reaction. This study aimed to evaluate the impact of the wave of COVID-19 vaccines safety declarations on IC0.25 from Vigilyze and thus illustrate with a concrete example the competition bias.
METHODS: We arbitrarily selected 21 adverse drug reactions using Medical Dictionary for Regulatory Activities (MedDRA) preferred terms (PTs), divided in two types: PTs known to be related to COVID-19 vaccines (\"expected\") and others (type \"unexpected\"). Data were extracted from VigiLyze. We created two groups: V+ (the full database, including COVID-19 vaccines reports) and V- (the same extraction without COVID-19 vaccine reports). IC0.25 was recomputed for the group V- and we compared the positive signal evolution in the two settings of selection (V+ and V- groups).
RESULTS: The number of positive potential signals was significantly different in the groups V+ and V- for IC0.25. We observed that most of the \"unexpected\" PTs lost potential signal after the withdrawal of COVID-19 reports. On the contrary, the majority of \'expected\' PTs had potential new signals after the withdrawal of COVID-19 reports.
CONCLUSIONS: This study is one of the first to evaluate the effect of COVID-19 vaccines reporting on Automated Signal Detection of Pharmacovigilance. In this study, we observed that a wave of pharmacovigilance reporting can affect disproportionality estimators such as IC0.25 and then have an impact on automated signal detection; some signals disappear (almost with all PTs related to COVID-19 vaccines) and others appear (mostly with PTs not related to COVID-19 vaccines), illustrating the competition bias.
CONCLUSIONS: We show that a health crisis involving a change in drug use can affect adverse drug reactions reporting and pharmacovigilance databases, leading to competition bias and a change in the disproportionality analyses. For health professionals who use quantitative disproportionality analysis, it is important not only to use the crude values of indicators but also the kind of PTs and the evolution of the signal over time (take into account major events such as crises).

To get a thorough understanding of PD-1/L1 inhibitor-related hypophysitis (PD-1/L1-irH), we utilized a combination of disproportionality analysis and case analysis to comprehensively characterize the clinical features of PD-1/L1-irH. Significant signals of hypophysitis were detected for all PD-1/PD-L1 inhibitors in the FAERS (FDA Adverse Event Reporting System). As revealed by both FAERS and the case analysis, PD-1/L1-irH occurred more commonly in males, PD-1 inhibitors users and patients older than 65 years. The median onset time was 101 days in FAERS and 8 cycles in the case analysis. In the case analysis, eight late-onset PD-1/L1-irHs occurred even after a discontinuation of several months (4-15 months). As revealed in FAERS, the outcome of PD-1/L1-irH tended to be poor, generally resulting in 64.66% hospitalization and 12.59% death. Fatigue was the most prominent symptom of PD-1/L1-irH, followed by anorexia, hyponatremia, and hypotension, as revealed by the analysis of 84 cases. Meanwhile isolated adrenocorticotropic (ACTH) deficiency was particularly prevalent for PD-1/L1-irH (85.71%), while gonadal hormones or posterior pituitary hormones deficiencies were rare. Glucocorticoids were administered to almost all cases (81/84), with a physiologic or stress dosage in 61.9% of cases, and a high-dose in 26.2% of cases. Most cases (58.3%) showed a favorable tumor response before diagnosis of PD-1/L1-irH. PD-1/L1-irH may occur throughout the whole therapy period even after discontinuation. Clinicians should pay more attention to PD-1 inhibitor users, males and older patients. Early diagnosis and prompt managements are crucial for PD-1/L1-irH as its potentially life-threatening nature.

The Gram-positive anaerobic bacterium Clostridioides difficile (CD) can produce intense exotoxins, contributing to nosocomial infections, and it is the most common cause of health-care-associated infectious diarrhea. Based on spontaneous Individual Case Safety Reports from EudraVigilance (EV), we conducted a descriptive analysis of Clostridioides difficile infection (CDI) cases that reported a spontaneous adverse reaction related to using ceftriaxone, colistimethate, ciprofloxacin, gentamicin, linezolid, meropenem, and piperacillin/tazobactam. Most ADR reports registered in EV that were related to CDI were associated with ceftriaxone (33%), ciprofloxacin (28%), and piperacillin/tazobactam (21%). Additionally, the disproportionality analysis performed showed that all studied antibiotics had a lower reporting probability when compared to clindamycin. A causal relationship between a drug and the occurrence of an adverse reaction cannot be established from EV data alone because the phenomena of underreporting, overreporting, and reporting bias may affect the results. Based on the analysis of the collected data, this study underlines the importance of surveillance and monitoring programs for the consumption of antibiotics. Furthermore, it is essential to use standardized laboratory tests to define CDI\'s nature accurately. To prevent this infection, specialists should collaborate and adhere strictly to antibiotic stewardship programs, hygiene practices, and isolation protocols.

UNASSIGNED: Nirmatrelvir/ritonavir is a new oral antiviral agent for COVID-19, and tacrolimus is a widely used immunosuppressant. Drug-drug interaction between Nirmatrelvir/ritonavir and tacrolimus is expected. However, information regarding the drug-drug interaction in a real-world setting is limited. We aim to evaluate drug-drug interaction between tacrolimus and Nirmatrelvir/ritonavir and perform a disproportionality analysis to assess the potential risk of nephrotoxicity due to their combination for COVID-19 treatment based on the FAERS database.
UNASSIGNED: Disproportionality analysis was performed using the reporting odds ratio (ROR) method, and subset analysis was conducted based on the background of COVID-19 drugs combined with tacrolimus more than 10 times.
UNASSIGNED: In disproportionality analysis, combination of Nirmatrelvir/ritonavir and tacrolimus was significantly associated with acute kidney injury (41.13%), serum creatinine increased (14.18%), renal failure (2.84%), and renal impairment (2.84%). These positive signals of acute kidney injury and serum creatinine increased still strongly retained in subset analysis. No similar positive signals were detected in Nirmatrelvir/ritonavir-single group. Only in Cilgavimab/Tixagevimab-tacrolimus group and Remdesivir-tacrolimus group, acute kidney injury was recognized as weakly positive signals and disappeared in subset analysis.
UNASSIGNED: The study results show significant drug-drug interaction between Nirmatrelvir/ritonavir and tacrolimus and confirm that their combination for COVID-19 treatment greatly increases risk of acute kidney injury.

BACKGROUND: Lacosamide is licensed for the treatment of focal seizures in both adults and children, however there is little information available on its adverse reactions. Using the FDA Adverse Event Reporting System (FAERS), we seek to assess adverse occurrences that may be related to Lacosamide.
METHODS: On the basis of the FAERS database from the fourth quarter of 2008 to the second quarter of 2022, disproportionality analysis was carried out using the reporting odds ratio (ROR) method, the United Kingdom Medicines and Healthcare Products Regulatory Agency omnbius standard (MHRA) method, and the bayesian confidence propagation neural network (BCPNN) method. We extracted valuable positive signals for designated medical event (DME) screening, focused on the evaluation and comparison of safety signals appearing in DME with system organ classification (SOC) analysis.
RESULTS: A total of 10,226 adverse reaction reports with Lacosamide as the primary suspect drug were obtained, with 30,960 reported cases, detecting 232 valuable positive signals, involving a total of 20 SOCs, of which the most frequently reported SOCs were nervous system disorders (6537 cases, 55.21%), psychiatric disorders (1530 cases, 12.92%), injury poisoning and procedural complications (1059 cases, 8.94%). According to 232 valuable positive signals with DME screening results, two signals of stevens-johnson syndrome and ventricular fibrillation were consistent with PT signals on the DME list, with the two SOCs focusing on skin and subcutaneous tissue disorders and cardiac disorders, respectively.
CONCLUSIONS: Our research demonstrates that the clinical use of Lacosamide should be noticed and avoided in relation to ADRs since it raises the risk of cardiac arrest, ventricular fibrillation, stevens-johnson syndrome, and rhabdomyolysis.

Depression diagnoses have surged recently, and selective serotonin reuptake inhibitors (SSRIs) are the go-to treatment. However, studies indicate that long-term use of SSRIs can increase cardiovascular risk without systematic evaluation of the drug class. To offer clinical guidance, we performed an evaluation of the association between the six most commonly prescribed SSRIs and cardiovascular adverse events. Using the FDA Adverse Event Reporting System (FAERS) from Q1 2004 to Q2 2022, we conducted a disproportionality analysis and determined the magnitude of significant signals using statistical shrinkage transformations. Our study revealed that arrhythmias, torsades de pointes/QT prolongation, cardiomyopathy, and hypertension were among the most prevalent adverse events linked to SSRIs. Our analysis also showed a significant association between SSRIs and the aforementioned adverse events, with higher incidence in middle-aged and elderly patients and women. We further observed a rising trend in the incidence of arrhythmias, torsades de pointes/QT prolongation, and hypertension, highlighting the need for heightened cardiac monitoring in patients on SSRIs.

OBJECTIVE: The COVID-19 prophylactic vaccine for the prevention of coronavirus infection was approved in Japan on February 14, 2021. Adverse event reports for the vaccine were collected from the Japan Adverse Drug Event Relief (JADER) database, similar to those for drugs. Reported odds ratios (RORs) and proportional reporting ratios (PRRs) are commonly used in disproportionality analysis to detect safety signals. Therefore, adverse event reports from the vaccinated population may affect the detection of safety signals for the registered drugs. This study determined the impact of adverse event reports on the detection of safety signals for a COVID-19 prophylactic vaccine by analyzing the JADER database using disproportionality analysis.
METHODS: We extracted data from the JADER dataset, in which the COVID-19 vaccine was reported as a suspected drug, and selected the top 10 adverse events in terms of the number of reports. We then extracted the top 30 drugs by the amount of information in the selected 10 adverse events and compared the changes in the number of signal detections with and without the COVID-19 vaccine report data.
RESULTS: The total number of adverse events reported in the JADER database during the study period was 2,002,564. Of the total number of reports, 85,489 (4.3%) reported adverse events related to the COVID-19 vaccine. Of the top 30 drugs reported in the 10 selected adverse events, the ROR and PRR were found to be lower with the inclusion of COVID-19 vaccine data than without. Detection by ROR excluded 23 out of 245 drugs, and detection by PRR excluded 34 out of 204 drugs.
CONCLUSIONS: The rapid increase in the number of adverse event reports for the COVID-19 vaccine in JADER may affect the detection of safety signals by disproportionality analysis.

BACKGROUND: In recent times, pancreatitis has been one of the most frequently reported adverse events for sodium-glucose cotransporter-2 (SGLT2) inhibitors.
OBJECTIVE: To evaluate the potential association between SGLT2 inhibitors and the risk of pancreatitis by analyzing the spontaneous reports through disproportionality analysis and reviewing case reports.
METHODS: A retrospective case/non-case study was conducted using spontaneous reports from the FDA Adverse Event Reporting System (FAERS), VigiBase, and the Canadian Adverse Reaction Database (CARD). Disproportionality analysis was performed by calculating the Proportional Reporting Ratio (PRR), Reporting Odds Ratio (ROR), and the Information Component (IC). In parallel, a review of case reports was conducted on SGLT2 inhibitors-induced pancreatitis.
RESULTS: A total of 524, 510, and 40 spontaneous reports of pancreatitis suspected to be caused by SGLT2 inhibitors were identified from FAERS, VigiBase, and CARD, respectively. Through the disproportionality analysis of FAERS data, a signal was identified between the SGLT2 inhibitors and pancreatitis, with empagliflozin having highest risk [PRR = 3.9; Lower Bound (LB) ROR = 3.4; IC025 = 1.7], followed by canagliflozin [PRR = 3.6; LB ROR = 3.2; IC025 = 1.6], and dapagliflozin [PRR = 3.2; LB ROR = 2.7; IC025 = 1.4]. VigiBase and CARD data analyses reiterated the findings of FAERS. Thirteen case reports identified from a systematic literature search strengthened these findings and highlighted the importance of physical examination and laboratory parameters for the early diagnosis of pancreatitis.
CONCLUSIONS: The current study found a potential risk of pancreatitis with the use of SGLT2 inhibitors. There is an urgent need to thoroughly investigate the same and take the necessary action to avoid or minimize the risk.

Reports of cardiac adverse events from oncology clinical trials often are at variance with reports derived from clinical observations or data-base reviews. These differences may lead to confusion, as different levels of risks abound in the literature, and the true cardiac risk of using some agents is uncertain. Additionally, such discrepancies may lead to the creation of over-cautious surveillance algorithms. Reasons for these reported differences are complex and often reflect subtleties in the criteria for individual patient evaluation. Both clinical trial data and real-world data have potential flaws that make reconciliation problematic. Importantly, however, both provide crucial information regarding the risk of adverse events. Major factors contribute to these differences including different tools used to diagnose events, and how those tools are interpreted. Additionally, differences in the populations of clinical trial participants and real-world populations play a crucial role. This paper looks at these differences and provides a perspective intended to help clinicians interpret reported variations in event rates derived from highly scrutinized clinical trials and broader real-world data.