Proportional Reporting Ratio Research Articles

Safety assessment of KRAS (G12C) inhibitors based on the FDA Adverse Event Reporting System (FAERS) database: A real-world pharmacovigilance study

ObjectivesKRAS (G12C) inhibitors (sotorasib and adagrasib) have approved treatment in patients with KRAS (G12C)-mutated non-small cell lung cancer (NSCLC). The post-marketing data concerning KRAS (G12C) inhibitors remain limited, and the outcomes of relevant studies are yet to yield conclusive evidence supporting the long-term safety of KRAS (G12C) inhibitors. Materials and methodsThis investigation comprehensively assessed adverse events (AEs) attributed to KRAS (G12C) inhibitors by employing advanced data mining techniques, utilizing the FDA Adverse Event Reporting System (FAERS). The dataset encompasses the period from the first quarter of 2021 to the first quarter of 2024. A disproportionality analysis was conducted to quantify the correlation between KRAS (G12C) inhibitors and AEs. The metrics employed for the evaluation of disproportionality comprise the reporting odds ratio (ROR), the proportional reporting ratio (PRR), the information component (IC), and the empirical Bayesian geometric mean (EBGM). ResultsA total of 2,253 and 486 reports were identified as related to sotorasib and adagrasib, with the identification of 51 and 26 preferred terms, respectively. The most frequent AEs of sotorasib comprised diarrhoea (ROR 5.27), hepatotoxicity (ROR 38.09), alanine aminotransferase increased (ROR 17.41), aspartate aminotransferase increased (ROR 20.88), and hepatic function abnormal (ROR 19.88). The most common AEs of adagrasib included diarrhoea (ROR 4.21), nausea (ROR 3.84), vomiting (ROR 5.36), decreased appetite (ROR 4.79), and dehydration (ROR 7.00). A relatively reduced risk of hepatotoxicity but a increased risk of serious AEs in adagrasib compared to sotorasib (P < 0.001). ConclusionOur findings would provide valued evidence for healthcare professionals to recognize AEs associated with KRAS (G12C) inhibitors and differences between sotorasib and adagrasib, and guide their clinical practice.

Mining and evaluation of adverse event signals for capmatinib based on the FAERS database.

To conduct a comprehensive data analysis based on the FDA's Adverse Event Reporting System (FAERS) to mine possible adverse event (AE) signals of Capmatinib, providing valuable references for its clinical application. Capmatinib was the primary suspected drug in the search of FAERS database from the second quarter of 2020 to the fourth quarter of 2023. Data processing, screening, and classification were performed using methods such as the Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Multi-item Gamma Poisson Shrinker (MGPS). A total of 1,991 AE reports directly related to Capmatinib were screened, identifying 269 Preferred Terms (PTs) involving 26 System Organ Classes (SOCs). Besides the AEs recorded in the drug label (such as edema, nausea, fatigue, and dyspnea), the study unearthed other high-risk AEs not listed in the label, including Renal and urinary disorders, Vocal cord paralysis, and Ear and labyrinth disorders. Among these, renal and urinary disorders, and ear and labyrinth disorders had a higher frequency and intensity of signals, suggesting that their mechanisms of occurrence could be a future research direction. This study uncovered new potential AEs of Capmatinib based on the FAERS database, providing reference for its safe clinical use. Special attention should be given to the occurrence of ear and labyrinth disorders and renal and urinary disorders, primarily presenting as pseudo-acute kidney injury, during treatment.

Adverse event signal mining and severe adverse event influencing factor analysis of Lumateperone based on FAERS database.

Lumateperone has been approved by the Food and Drug Administration (FDA) for the treatment of schizophrenia in adults since 2019, however, there is still a lack of data report on adverse reactions in real-world settings. Conducting data mining on adverse events (AEs) associated with Lumateperone and investigating the risk factors for serious AEs can provide valuable insights for its clinical practice. AE reports in the FDA Adverse Event Reporting System (FAERS) from 2019 Q4 (FDA approval of Lumateperone) to 2024 Q1 were collected and analyzed. Disproportionality in Lumateperone-associated AEs was evaluated using the following parameters: Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Multi-item Gamma Poisson Shrinker (MGPS). Univariate and multivariate logistic regression analyses were conducted to identify the risk factors for Lumateperone-induced severe AEs. A total of 2,644 reports defined Lumateperone as the primary suspected drug was collected, including 739 reports classified as severe AEs and 1905 reports as non-severe AEs. The analysis revealed that 130 preferred terms (PTs) with significant disproportionality were based on the four algorithms, 67 (51.53%) of which were not included in the product labeling, affecting 6 systems and organs. In addition, dizziness (81 cases) was the most reported Lumateperone-associated severe AEs, and tardive dyskinesia showed the strongest signal (ROR = 186.24). Logistic regression analysis indicated that gender, bipolar II disorder, and concomitant drug use are independent risk factors for Lumateperone-associated severe AEs. Specifically, female patients had a 1.811-fold increased risk compared with male patients (OR = 1.811 [1.302, 2.519], p = 0.000), while patients with bipolar II disorder had a 1.695-fold increased risk compared with patients diagnosed with bipolar disorder (OR = 1.695 [1.320, 2.178], p = 0.000). Conversely, concomitant use of CYP3A4 inhibitors or drugs metabolized by CYP3A4 was associated with a decreased risk of severe AEs (OR = 0.524 [0.434, 0.633], P = 0.000). Collectively, this study provides critical insights into the safety profile of Lumateperone. It highlights the need for cautious use in high-risk populations, such as females and individuals with bipolar II disorder, and emphasizes the importance of monitoring for AEs, including dizziness and tardive dyskinesia. Healthcare also should remain alert to potential AEs not listed in the prescribing information to ensure medical safety.

Safety analysis of fluoroquinolone drugs in elderly patients over 65 based on FAERS

ABSTRACT Objective This study investigates adverse drug event (ADE) reports from the FAERS related to FQs drugs in patients aged 65 and older. The findings aim to guide the rational clinical use of these drugs in elderly patients. Methods We employed Reporting Odds Ratio (ROR) and Proportional Reporting Ratio (PRR) methods to analyze ADE reports for the representative FQ drugs from Q1 2015 to Q4 2023, covering 36 quarters. Results The analysis identified 6883 ADE cases for ciprofloxacin, 5866 for levofloxacin, 1498 for moxifloxacin, and 317 for ofloxacin. Moxifloxacin showed higher incidences of Cardiac disorders and Psychiatric disorders ADEs (4.01%, 23.11%). Ciprofloxacin and levofloxacin showed higher ADE rates in musculoskeletal and connective tissue diseases (20.18% and 26.97%) compared to moxifloxacin (3.62%) and ofloxacin (9.25%). Additionally, moxifloxacin and ofloxacin showed higher ADE rates for eye disorders (10.61% and 15.03%). Conclusion Different FQs exhibit varying ADE profiles across cardiovascular, vascular and lymphatic, renal and urinary, psychiatric, musculoskeletal and connective tissue, and ocular systems. Patients with underlying systemic diseases should avoid FQs with higher ADE risks for their conditions. Personalized medication plans for elderly patients should also be strengthened.

Investigating drug-induced urinary retention: a pharmacovigilance analysis of FDA adverse event reports from 2004 to 2024

ABSTRACT Background Drug-induced urinary retention (DIUR) can severely impact patient quality of life and complicate treatment. This study investigates the incidence and characteristics of DIUR using data from the FDA Adverse Event Reporting System (FAERS) over 20 years. Methods FAERS reports related to urinary retention (UR) from Q1 2004 to Q1 2024 were analyzed. Potential causative drugs were identified, and the top 30 drugs with the most UR reports were ranked. Statistical disproportionality analyses, including Proportional Reporting Ratio (PRR) and Reporting Odds Ratio (ROR), were conducted to detect significant safety signals. Results Out of 17,703,515 reports in the FAERS database 28,423 cases of UR were identified. Anticholinergics, antidepressants, and opioids were the most frequently implicated drug classes. The highest ROR and PRR values were observed for drugs like ezogabine. Additionally, less commonly associated drugs, such as adalimumab and others, were implicated, suggesting potential under-recognition of this adverse effect. However, these associations should be interpreted with caution, as they do not confirm a direct causal relationship. Conclusion This study underscores the importance of pharmacovigilance in identifying and understanding DIUR. Further research is needed to confirm these findings and develop strategies to manage and reduce the risk, improving patient outcomes.

Sodium-glucose cotransporter 2 inhibitors and renal cancer in the US FDA adverse event reporting system.

Recent evidence suggests an association between sodium-glucose cotransporter 2 (SGLT2) inhibitors and a higher risk of renal cancer. We conducted a pharmacovigilance analysis using the US FDA Adverse Event Reporting System (FAERS) to investigate the disproportionate association between SGLT2 inhibitors and renal cancer. We used AERSMine to mine data from FAERS, covering the period from 2014 Q1 to 2023 Q3. The control group was treated with other glucose-lowering medications (ATC-A10B). Disproportionality analysis results were performed using a proportional reporting ratio (PRR) with a 95% confidence interval (CI) and an information component (IC) with 95% credible interval. Compared to the control group, the SGLT2 inhibitor group had a higher disproportionate renal cancer reporting frequency (0.92 vs 0.27/1000 reports; PRR 3.38; 95% CI 2.68-4.25; p < 0.001) with an IC of 1.36 (0.60-2.06), comprising dapagliflozin (PRR 4.14; 2.95-5.80; p < 0.001), empagliflozin (PRR 2.74; 1.94-3.89; p < 0.001), and canagliflozin (PRR 3.56; 2.48-5.12; p < 0.001). Consistent results were obtained in the diabetes indication with the primary outcomes only for the SGLT2 inhibitors group (not individual molecule). The results of the sensitivity analysis (excluding hypertension indication or antihypertensive drugs, obesity, smoking, alpha-1 blockers, or anti-renal cancer drugs) were highly consistent with the main outcomes, indicating good robustness of the results. The results from 2004 Q1 to 2023 Q3 were similar to those from 2014 Q1 to 2023 Q3, with the exception of empagliflozin. There was a disproportionate association between SGLT2 inhibitors and renal cancer, which supports the current meta-analysis results indicating an increased risk of renal cancer associated with SGLT2 inhibitors.

Association of anxiolytic drugs with Torsade de Pointes: a pharmacovigilance study of the Food and Drug Administration Adverse Event Reporting System.

This study aimed to determine the association of Torsade de Pointes (TdP) with anxiolytic drugs and present a detailed overview of anxiolytic-induced cases of TdP reported to the Food and Drug Administration Adverse Event Reporting System (FAERS). All cases of anxiolytic-induced TdP (n = 260) between 1990 and 2020 were retrieved from the FAERS database using the Preferred Term 'Torsade de Pointes, code: 10044066' from the Medical Dictionary for Regulatory Activities (MedDRA version 22). Four data-mining algorithms were used for disproportionality analysis: Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Empirical Bayes Geometric Mean (EBGM), and Information Content (IC). Anxiolytics with ≥3 TdP cases were included. Of a total of eight drugs, this study identified seven signals of TdP, of which six signals were new, namely for alprazolam, bromazepam, lorazepam, meprobamate, midazolam, and oxazepam. Based on disproportionality analysis, among new signals, the highest risk of TdP was observed with bromazepam and midazolam. Alprazolam showed the lowest risk for TdP, while diazepam did not reach significant disproportionality. This study identified six new signals of TdP among anxiolytic drugs, so warranting stringent clinical studies to ascertain the actual risk of TdP and ensure patient safety. This study is registered at ClinicalTrials.gov (NCT.gov ID: NCT04293432).

Risk of Suicide, Hair Loss, and Aspiration with GLP1-Receptor Agonists and Other Diabetic Agents: A Real-World Pharmacovigilance Study.

With the increasing popularity of glucagon-like peptide 1 receptor agonists (GLP1-RAs), numerous safety concerns arose pertaining to suicide, hair loss, and aspiration risks. We attempted to validate these concerns. We queried four pharmacovigilance databases to compare GLP1-RAs to sodium-glucose transporter 2 inhibitors (SGLT2is) with respect to these adverse events (AE): the FDA Adverse Event Reporting System (FAERS), the Australian Database of Adverse Event Notifications (DAEN), the European Medicines Agency's (EudraVigilance), and the World Health Organization-Vigibase. OpenVigil 2.1 was utilized to perform a disproportionality analysis for GLP1-RAs, SGLT2is, dipeptidyl peptidase 4 inhibitors (DPP4is), sulfonylureas, metformin, and insulin. The following indices were extracted from the FAERS database from Q4/2003 until Q3/2023: relative reporting ratio (RRR), proportional reporting ratio (PRR), reporting odds ratio (ROR), and chi-squared (χ2). A positive signal was detected if PRR > 2 and χ2 > 4 for any drug-event pair. No positive signals were observed between GLP1-RAs and either suicide, hair loss, or aspiration risks. Semaglutide [ROR = 0.60 (0.51-0.71)] and liraglutide [ROR = 0.28 (0.23-0.35)] had higher suicidal events than DPP4is and SGLT2is. GLP1-RAs were the most reported class with hair loss [ROR = 0.61 (0.60-0.64)], and semaglutide, liraglutide, and dulaglutide were the three leading medications. GLP1-RAs ranked lower with aspiration events, which were led by sitagliptin and DPP4is as a group. GLP1-RAs exhibit higher reporting of suicide, hair loss, and aspiration events when compared to several other antidiabetic medications despite not meeting the criteria for positive signals yet. This warrants intensive monitoring and reporting.

A national analysis of systemic adverse events of beta-blockers used for glaucoma therapy

Purpose To evaluate systemic complications for timolol, carteolol, levobunolol, and/or betaxalol by using an FDA Federal Adverse Event Reporting System (FAERS) Methods We evaluated FAERS for adverse events associated with β-blocker use for glaucoma. All reported symptoms were reviewed to identify systemic adverse events and to detect safety signals, defined as information on a new or known side effect that may be caused by a medicine. We used the proportional reporting ratio (PRR), reporting odds ratio (ROR), empirical Bayes geometric mean (EBGM), and information component (IC) as a part of a disproportionality analysis comparing the frequency of β-blocker symptoms with all other adverse event reports. We considered a signal to be detected when all four disproportionality analysis metrics were positive. Results We found 10,500,309 total adverse event reports from the FAERS database 2004-2022Q3, which included 8,793 case reports with a primary suspect of a β-blocker use for glaucoma. 1,838 unique adverse symptoms were reported were associated with β-blocker. Regarding outcomes, there were 165 (1.88%) reports of disability, 671 (7.63%) reports of hospitalisation, and 1,934 (21.99%) reports of some other unspecified complication. Regarding adverse events, the most reported general, cardiac, and respiratory symptoms were respectively dizziness (n = 281), bradycardia (n = 145), and dyspnoea (n = 195). 256 (2.91%) cases of death were reported. We found significant signals on bradycardia (n = 145), complete atrioventricular block (n = 38), and bronchospasm (n = 23). No allergic, endocrine, constitutional, or gastrointestinal symptoms generated positive signals. Conclusion β-blocker use in glaucoma therapy can be rarely associated with serious systemic and life-threatening complications.

Safety assessment of basiliximab using real-world adverse event data from the FDA Adverse Event Reporting System Database: A retrospective observational study.

This study analyzed adverse drug events (ADEs) associated with basiliximab, sourced from the Food and Drug Administration Adverse Event Reporting System (FAERS) database, spanning the first quarter of 2004 to the fourth quarter of 2023. We collected ADE data for basiliximab from 2004 Q1 to 2023 Q4. After standardization, we employed several signal quantification methods for analysis, such as the Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propensity for Neural Networks (BCPNN), and empirical bayes geometric mean (EBGM). In this analysis of 1520 ADEs reports citing basiliximab as the primary suspect, we identified 295 preferred terms across 24 system organ classifications (SOCs). The 3 most prevalent SOCs were investigated (n = 1403, ROR 2.84, PRR 2.54, IC 1.34, EBGM 2.54), infections and infestations (n = 1198, ROR 2.85, PRR 2.59, IC 1.37, EBGM 2.59), and renal and urinary disorders (n = 903, ROR 6.01, PRR 5.48, IC 2.45, EBGM 5.47). Increased blood creatinine and pyrexia were the most frequently reported adverse events (AEs) associated with basiliximab, and cytomegalovirus infection also demonstrated significant signal intensity. Notably, this study revealed some adverse reactions beyond basiliximab drug instructions, such as mitral valve calcification, diastolic dysfunction, pelvic fluid collection, testicular swelling, soft tissue necrosis, and muscle necrosis. Although basiliximab offers therapeutic benefits, it carries the risk of several adverse reactions. Clinicians should monitor patients for signs of increased serum creatinine level, fever, cytomegalovirus infection, anaphylactic shock, mitral valve calcification, diastolic dysfunction, pelvic fluid collection, testicular swelling, soft tissue necrosis, muscle necrosis, and other events during clinical use.

Antihypertensive drug-associated adverse events in osteoarthritis: a study of a large real-world sample based on the FAERS database.

Hypertension is a common complication in patients with osteoarthritis (OA). There is increasing interest in the relationship between hypertension and OA. However, hypertension has been reported to negatively affect symptoms and quality of life in patients with OA. Therefore, treating hypertension is crucial for patients with OA. However, there is a lack of real-world studies on the effects of medications for treating hypertension on OA. Data from the FAERS database from January 2004 to December 2023 were extracted for disproportionality analyses, and proportional reporting ratios (PRRs) were used to assess the association between medications for hypertension and all types of arthritis. Adverse event signals were identified and determined using reporting odds ratios (RORs) Adverse event signals were considered to have occurred if a drug-induced adverse event was recorded more than or equal to 3 and the lower limit of the ROR confidence interval was more than 1. We selected five classes of drugs including, calcium channel blockers (CCBs), angiotensin converting enzyme inhibitors (ACEIs), angiotensin receptor blockers (ARBs), thiazide diuretics and β-blockers and representative drugs were analysed for osteoarthritis-related adverse reactions, and age and gender subgroups were analysed for drugs of significance. We also analysed the occurrence of AEs in relation to time using the Weibull distribution. In terms of overall data, we found significant OA adverse reaction signals only for ARBs among the five drug classes.ARB AEs for spinal osteoarthritis (ROR 4.64, 95% CI 3.62-5.94), osteoarthritis (ROR 3.24 95% CI 2.82-3.72) and gouty arthritis (ROR 3.27 95% CI 1.22-8.75) were the three adverse reactions with the loudest signals. Next, we found that valsartan had strong osteoarthritis adverse reaction signals among the three ARBs, namely, irbesartan, cloxartan, and valsartan. We also analysed age and gender subgroups and found that osteoarthritis signals were strongest in the 18-65 and 65+ population, while females seem to be more prone to valsartan-related OA AEs. ARBs, especially valsartan, have significant positive signals for OA AEs. Therefore, ARB drugs, especially valsartan, should be used with caution when treating patients with OA combined with hypertension.

A disproportionality analysis of sunitinib in the FDA adverse event reporting system (FAERS)

ObjectiveThis study aimed to analyze the FAERS database to identify adverse event associated with sunitinib to offer valuable insights for the judicious utilization of medication in clinical settings. MethodsVarious disproportionality analysis techniques, such as the reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network (BCPN), and multi-gamma Poisson shrinkage (MGPS), were employed to analyze adverse drug reaction (ADR) reports pertaining to sunitinib in the FAERS database from its market introduction up to the first quarter of 2023. Subsequently, a secondary screening process was conducted to identify reliable positive signals. ResultsThe analysis of sunitinib adverse event signals at the system-organ classification level encompassed 27 organ systems, with gastrointestinal and endocrine disorders emerging as the predominant SOCs. A total of 237 significant adverse events meeting all four algorithms were detected. Notably, this study revealed previously unreported adverse events, including pleural effusion and ascites, while potential adrenal toxicity-related adverse events, highlighted in the drug's specification, were not identified in this analysis. The study examined the relationship between the duration of sunitinib dosing and the onset of adverse events, revealing a median onset of 48 days (IQR, 15–160 days). The findings indicated that a majority of adverse events manifested early in the dosing period, with tumor progression, disease progression, and mortality becoming more prevalent after one year of treatment. ConclusionIn the clinical utilization of sunitinib, vigilant monitoring of potential adverse reactions is imperative during the initial phase of drug administration. In addition to the documented adverse reactions outlined in the drug specification, healthcare providers should remain attentive to potential adverse reactions such as pleural effusion, ascites, and tumor development.

Adverse event reporting of combining SGLT2 inhibitor and GLP1 receptor agonist: a real-world study from FAERS

Background and AimsWe evaluate whether the combination of sodium-glucose cotransporter-2 inhibitor(SGLT2i) and glucagon-like peptide-1 receptor agonist(GLP1RA) disproportionally increases the reporting of adverse events compared with SGLT2i or GLP1RA monotherapy in the FDA adverse event reporting system (FAERS). Methods and ResultsAdverse events related to SGLT2i and GLP1RA were screened and selected, then data from the FAERS was underwent thorough disproportionality analysis. The proportional reporting ratio(PRR) of SGLT2i-related adverse events were compared between patients using SGLT2i alone and those using both SGLT2i and GLP1RA. Similarly, the PRR of GLP1RA-related adverse events were compared between patients using GLP1RA alone and those using both SGLT2i and GLP1RA. The results showed that the PRR of SGLT2i-related adverse events including diabetic ketoacidosis(DKA), ketosis, reproductive tract adverse events, urinary tract infection, and other adverse events, decreased in individuals using both SGLT2i and GLP1RA compared with those using SGLT2i alone, and the signal of fracture was not detected. Likewise, the PRR of GLP1RA-related adverse events including gastrointestinal adverse events, gallbladder and biliary tract disease, pancreatitis, and other adverse events, decreased in individuals using both SGLT2i and GLP1RA compared with those using GLP1RA alone, the PRR of hyperlipasaemia and hyperamylasaemia increased in the combination therapy and no signal of depression, suicidal and self-injurious behaviour was detected. ConclusionAdverse events reporting are not disproportionally higher among those using both SGLT-2i and GLP1RA compared with SGLT2i or GLP1RA monotherapy.

Analysis of Atypical Antipsychotics-Induced Adverse Events Related to Diabetes Mellitus in Patients With Dementia Using the Japanese Adverse Drug Event Report Database.

Patients with dementia are prescribed low-dose atypical antipsychotics (AAPs) to treat psycho-behavioral symptoms. Although AAPs are known to cause diabetes mellitus-related adverse events (DMAEs), information regarding AAPs-induced DMAEs experienced by patients with dementia is lacking. To use the Japan Adverse Drug Event Report (JADER) database to assess the onset tendencies and patterns of DMAEs attributable to AAPs prescribed to patients with dementia. We performed an analysis using dementia cases from the JADER database that were registered from April 2004 to December 2022. Data in the JADER database are completely anonymized; thus, we did not require institutional review board approval for using the JADER database in our study. The reporting odds ratio and proportional reporting ratio (PRR) were used to assess the onset tendencies of DMAEs with AAPs. In addition, Weibull shape parameters were used to assess the patterns of DMAEs that occur with the use of AAPs. We identified AAPs associated with DMAEs. In particular, low doses of quetiapine showed the potential to induce DMAEs. An analysis of the onset of DMAEs showed the early failure patterns for AAPs (median onset = 38 days). The AAPs may cause DMAEs in patients with dementia. Low doses of quetiapine may induce DMAEs. Health care workers should focus on the development of DMAEs during the early administration period of AAPs. These results may assist with the safe management of patients with dementia who use AAPs.

Analysis of lumateperone data for patients with schizophrenia using related adverse events from the FDA adverse reporting system

ABSTRACT Background Our study utilized the U.S. Food and Drug Administration’s Adverse Event Reporting System (FAERS) to analyze and study the adverse event (AEs) signals of second-generation antipsychotic drug lumateperone, providing a reference for clinical safety monitoring in the treatment of schizophrenia. Methods The International Dictionary of Medical Terminology (version 26.0) was used to standardize the preferred system organ category (SOC) and preferred terminology (PT) for adverse drug events (ADE) data related to lumateperone. ADE signals were classified and described using four algorithms: reporting odds ratios (ROR), proportional reporting ratios (PRR), Bayesian confidence-propagation neural network (BCPNN) and Multinomial gamma-poisson shrinkage (MGPS). Result Among the 2542 case reports collected from the FAERS database, 1762 reports with lumateperone as a ‘principal suspect(PS)’ AEs were identified. Lumateperone-induced AEs occurred in 26 system organ categories (SOC). A total of 118 significant disproportionate preferred terms (PTs) meeting the requirements of 4 algorithms were retained, and unexpected major events, such as burning sensation, tremor, migraine etc. may also occur. The median time to onset of lumateperone-related adverse events was 9 days (interquartile range [IQR] 2–31.25 days), and most AEs occurred within the first 10 days and 1 month after initiation of lumateperone therapy. Conclusion Our research may provide a better understanding of the potential adverse events that may be caused by lumateperone and those not recorded in the drug instructions, providing valuable signals for clinical use.

Safety profile of levonorgestrel intrauterine system: Analysis of spontaneous reports submitted to FAERS

The levonorgestrel-releasing intrauterine system (LNG-IUS) is an established, long-acting contraceptive option. With the widespread use of the LNG-IUS, drug-reported adverse events (AEs) have also garnered significant attention. In this study, we conducted a real-world analysis using the FDA's Adverse Event Reporting System (FAERS) database to assess the incidence of AEs associated with LNG-IUS use. Data from FAERS spanning from 2004Q1 to 2024Q1 were reviewed, with a focus on reports in which LNG-IUS was the primary suspected and secondary suspect drug. Signal detection was carried out utilizing Standardized MedDRA Queries (SMQ) and Preferred Terms (PT), with reporting odds ratio (ROR), proportional reporting ratio (PRR), and information component (IC) employed to identify Signals of Disproportionate Reporting (SDR) for AEs. A positive SDR was defined when all three methods indicated significance. Analysis of 13 SMQs revealed notable SDRs in ear and eye disorders, cardiac arrhythmias, and lipodystrophy. Of the 61 suspected SDRs identified at the PT level, nearly half were not previously documented in labeling. Key potential signals of AEs associated with LNG-IUS use included increased heart rate, papilledema, idiopathic intracranial hypertension, cervical dysplasia, ruptured ovarian cyst, and uterine embedment and perforation. The findings underscore the importance of signal detection using FAERS data for identifying safety concerns related to LNG-IUS. Long-term observational studies are warranted to confirm and further elucidate these potential safety signals.

A real-world pharmacovigilance study of KRAS G12C mutation inhibitors based on the food and drug administration adverse event reporting system.

Sotorasib and adagrasib have been widely used for the non-small cell lung cancer (NSCLC) patients harboring Kirsten rat sarcoma viral oncogene homolog (KRAS) G12C mutation. It's necessary to assess their safety profiles in the real-world population. A retrospective pharmacovigilance was conducted to examine adverse events (AEs) associated with sotorasib and adagrasib therapies using the US Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS). Disproportionality analysis was performed employing Venn analysis and four data-mining algorithms, including the reporting odds ratio (ROR), the proportional reporting ratio (PRR), the Bayesian confidence propagation neural network (BCPNN), and the multi-item gamma Poisson shrinker (MGPS). The most commonly reported system organ classes (SOCs) for both adagrasib and sororasib were general, gastrointestinal, and investigations disorders. Notably, sotorasib exhibited significant signals for neoplasms and hepatobiliary disorders in four algorithms. Specifically, AEs related to neoplasms were predominantly associated with lung malignancies, all of which were consistent with the therapeutic indications of KRAS G12C mutation inhibitor. A total of 19 common AEs were identified in sotorasib and adagrasib, spanning gastrointestinal, general, hepatobiliary, investigations, metabolism, musculoskeletal, neoplasms, and respiratory disorders. 4 severe AEs (SAEs) were identified in sotorasib, with 3 SAEs displaying significant signals in four algorithms, including drug-induced liver injury, pancreatitis, and hepatic failure. In adagrasib, only 2 SAEs were detected, with renal failure showing significant signals in four algorithms. This study offers a comprehensive evaluation of the major safety signals associated with sotorasib and adagrasib, providing valuable information for clinicians regarding drug selection and safety considerations, thereby facilitating the design of future prospective safety studies.

Real-world safety profile of eculizumab: an analysis of FDA adverse event reporting system and systematic review of case reports

ABSTRACT Background Most of the safety data regarding eculizumab came from clinical trials, while its safety information in the real world is still limited. Research design and methods The data of eculizumab in the FDA Adverse Event Reporting System (FAERS) database (from the first quarter of 2007 to the first quarter of 2023) was collected and analyzed. The case reports of adverse drug reactions (ADRs) related to eculizumab in PubMed, Embase and Web of Science before May 2023 were systematically reviewed. Results A total of 464 ADRs of eculizumab were identified in the FAERS database. The top five ADRs with the highest proportional reporting ratio (PRR) are total complement activity decreased, extravascular hemolysis, hemoglobinuria, total complement activity increased and breakthrough hemolysis. Fifty-one cases of ADR related to eculizumab were identified from 44 publications. The number of reported cases of eculizumab associated Neisseria gonorrhoeae infection in case reports was observed to be comparable to the number of cases of Neisseria meningitidis infection. Conclusions Clinicians must pay close attention to the risk of infections in patients receiving eculizumab, including severe N. meningitidis infection and other potentially fatal infections such as N. gonorrhoeae infection. In addition, The possible emergence of new ADRs should be vigilant during clinical medication.

A Real-World Pharmacovigilance Study of the FDA Adverse Event Reporting System Events for Trametinib.

This research investigates adverse drug events (ADEs) linked to trametinib, utilizing data from the FDA Adverse Event Reporting System (FAERS) database, covering the period from Q2 2013 to Q4 2023. We gathered data on ADEs associated with trametinib from the second quarter of 2013 to the fourth quarter of 2023. After standardizing the data, we applied various analytical methods to quantify signals, including the reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian Confidence Propagation for Neural Networks (BCPNN), and multi-item gamma Poisson shrinker (MGPS). In our examination of 2200 ADE reports with trametinib cited as the primary suspect, we identified 191 adverse reaction terms across 23 system organ classifications. The most frequently reported classifications were general disorders and administration site conditions, with 1254 cases (ROR 0.83, PRR 0.85, IC -0.23, EBGM 0.85), followed by neoplasms (benign, malignant, and unspecified, including cysts and polyps) with 802 cases (ROR 3.59, PRR 3.32, IC 1.73, EBGM 3.32), and investigations with 794 cases (ROR 1.74, PRR 1.66, IC 0.73, EBGM 1.66). Notably, this study also uncovered previously unlabeled adverse reactions such as cheilitis, lobular panniculitis, ulcerative keratitis, and stridor. While trametinib provides therapeutic advantages, it is associated with several potential adverse reactions. It is crucial for healthcare providers to closely monitor patients for symptoms such as cheilitis, lobular panniculitis, ulcerative keratitis, stridor, and other adverse events (AEs) during treatment.

Urinary and gynecologic adverse events associated with SSRI use

Background Selective Serotonin Receptor Inhibitors (SSRIs) are the most prescribed psychiatric drug in the United States. However, the adverse effects of SSRIs related to the genitourinary and reproductive systems in real-world settings remains unclear. The aim of this study is to identify a comprehensive profile of adverse events (AEs) associated with SSRIs in females using data from the FDA Adverse Events Reporting System (FAERS) and variability of adverse events across individual SSRIs. Methods A software designed to analyze adverse drug events, OpenVigil 2.1, was used to query the FAERS data. We defined 445 genitourinary and reproductive system related adverse events related to genitourinary and reproductive systems. Proportional reporting ratio (PRR) was utilized to assess the strength of association between adverse events and SSRIs. Subgroup analysis was conducted to stratify adverse events by age. Results The majority of AEs were related to sexual dysfunction, such as issues of arousal, libido, and orgasm. Additional significant findings were related to gynecologic bleeding, urinary retention and incontinence, and hypersexuality. Citalopram exhibited the strongest signal strengths, as evidenced by the highest proportional reporting ratios (PRRs), particularly in relation to sexual dysfunction. The strongest signals related to sexual dysfunction were found in the 40-59 years age group. Urinary symptoms were most prevalent in the over 60 years age group. Conclusion According to our findings, the potential for genitourinary and reproductive system related AEs of SSRIs warrants further investigation of underlying mechanisms and monitoring in clinical practice. AEs are important considerations for clinical practice as side effects of SSRIs can impact treatment compliance and patient quality of life.