scholarly journals Development of a drug safety ePlatform for physicians, pharmacists, and consumers based on post-marketing adverse events

2013 ◽  
Vol 3 (1) ◽  
pp. 4 ◽  
Author(s):  
Keith B. Hoffman ◽  
Brian M. Overstreet ◽  
P. Murali Doraiswamy
Keyword(s):  
Big Data ◽  
Adverse Events ◽  
Drug Safety ◽  
Case Reports ◽  
Adverse Event Reporting System ◽  
Adverse Event Reporting ◽  
Drug Classes ◽  
Post Marketing ◽  
Approved Drugs ◽  
User Friendly

Rigorous clinical trials under the watchful eye of regulators remain the cornerstone of drug safety. However, the emergence of serious and life-threatening Adverse Events (AEs) across best-selling drug classes [sometimes many years after winning Food and Drug Administration (FDA) approval] underscores the limitations of current clinical trial processes and reinforces the need for careful post-approval pharmacovigilance. The FDA’s sizeable repository of patient case reports linking AEs to approved drugs is the Adverse Event Reporting System (FAERS). We believe that open and user-friendly access to the millions of case reports in FAERS would help advance the field of post-marketing pharmacovigilance. However, FAERS data are virtually inaccessible to most physicians, pharmacists, and consumers. Accordingly, we have recently launched a big data platform (www.AdverseEvents.com) that, unlike previous efforts, provides on-demand, user-friendly, and high-impact access to FAERS data. Bringing the power of big data to regular users, such as clinicians, pharmacists, and patients, is the logical next step in the transformation of health care to a model of shared decision making between consumers and the system.

scholarly journals From big data to bedside decision-making: the case for AdverseEvents

2013 ◽  
Vol 3 (1) ◽  
pp. 3
Author(s):  
Giuseppe Biondi Zoccai ◽  
Elena Cavarretta ◽  
Giacomo Frati
Keyword(s):  
Decision Making ◽  
Clinical Evidence ◽  
Adverse Event Reporting System ◽  
Adverse Event Reporting ◽  
Ease Of Use ◽  
Antithrombotic Agent ◽  
Post Marketing ◽  
The Individual ◽  
User Friendly ◽  
Based Medicine

<p>Evidence-based medicine has gained mainstream popularity, but it requires a delicate balance between clinical evidence, physician skills, patient preferences, and costs. Facing the individual patient, even a simple decision such as which antithrombotic agent should be prescribed becomes complex. There are several reasons for this conundrum, but one of the foremost is the limited external validity of pivotal randomized trials, with their extremely restrictive selection criteria. Post-marketing reporting of adverse events is a very useful and democratic means to appraise the risk-benefit profile, but to date such reports were not organized or available. The development of the Food and Drug Administration (FDA) venue for such task, the FDA Adverse Event Reporting System (FAERS) has substantially improved data collection. However, analysis of this extensive relational database remains complex for most but few companies or agencies. AdverseEvents is a novel online platform enabling updated and user-friendly inquiry of FAERS. Given its ease of use, flexibility and comprehensiveness, it is likely going to improve decision making for healthcare authorities and practitioners, as well as patients. This is clearly testified by the precise and informative comparative analysis that can be performed with AdverseEvents on novel antithrombotic agents.</p>

scholarly journals 2296. Hypoglycemia Risk with Antibiotics: An Epidemiologic Surveillance Study of the FDA Adverse Event Reporting System (FAERS)

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S787-S787
Author(s):  
Kaitlin E Kennedy ◽  
Chengwen Teng ◽  
Taylor M Patek ◽  
Christopher R Frei
Keyword(s):  
Adverse Event ◽  
Drug Safety ◽  
Potential Risk ◽  
Case Reports ◽  
Adverse Event Reporting System ◽  
Adverse Event Reporting ◽  
Event Reporting ◽  
Epidemiologic Surveillance ◽  
Safety Warning ◽  
Medical Dictionary

Abstract Background In July of 2018, the FDA published a drug safety warning for the potential risk of developing hypoglycemia with fluoroquinolones. Some studies have evaluated the potential risk of developing hypoglycemia with linezolid and tigecycline. A few case reports have also been published that report hypoglycemia from cefditoren, doxycycline, and trimethoprim-sulfamethoxazole use. Since data comparing various antibiotics and the risk of developing hypoglycemia is limited, the objective of this study was to evaluate the association between hypoglycemia and antibiotics using the FDA Adverse Event Reporting Systems (FAERS). Methods FAERS reports from January 1, 2004 to December 31, 2017 were included in the study. The Medical Dictionary for Regulatory Activities (MedDRA) was used to identify cases of hypoglycemia. Reporting odds ratios (RORs) and corresponding 95% confidence intervals (95% CI) for the association between antibiotics and hypoglycemia were calculated. An association was considered to be statistically significant when the lower limit of the 95% CI was greater than 1.0. Results A total of 2,334,959 reports (including 18,466 hypoglycemia reports) were considered, after inclusion criteria were applied. Cefditoren had the greatest proportion of hypoglycemia reports, representing 10% of all cefditoren reports. Statistically significant hypoglycemia RORs (95% CI) for antibiotics were: cefditoren 14.03 (8.93–22.03), tigecycline 3.32 (1.95–5.65), clarithromycin 2.41 (1.89–3.08), ertapenem 2.07 (1.14–3.75), moxifloxacin 2.06 (1.59–2.65), levofloxacin 1.66 (1.37–2.01), linezolid 1.54 (1.07–2.20). Conclusion Cefditoren, tigecycline, clarithromycin, ertapenem, moxifloxacin, levofloxacin, and linezolid were all significantly associated with hypoglycemia. The ertapenem association had not been reported in prior literature. Levofloxacin and moxifloxacin were the only fluoroquinolones significantly associated with hypoglycemia, even though the FDA drug safety warning was issued for all fluoroquinolones. Doxycycline and trimethoprim-sulfamethoxazole were not significantly associated with hypoglycemia, even though case reports have reported hypoglycemia with doxycycline and trimethoprim-sulfamethoxazole. Disclosures All authors: No reported disclosures.

scholarly journals Risk of bronchospasm and coronary arteriospasm with sugammadex use: a post marketing analysis

2019 ◽  
Vol 10 ◽  
pp. 204209861986907 ◽  
Author(s):  
Pushkar Aggarwal
Keyword(s):  
Adverse Event ◽  
Adverse Events ◽  
Signal Analysis ◽  
Proportional Reporting Ratio ◽  
Adverse Event Reporting System ◽  
Adverse Event Reporting ◽  
Reporting Odds Ratio ◽  
Potential Association ◽  
Chi Squared ◽  
Post Marketing

Introduction: Sugammadex is used for the reversal of neuromuscular blockade caused by rocuronium bromide and vecuronium bromide. As part of the post licensing phase of drug development, adverse events related to the use of sugammadex are still being uncovered and being reported. The potential association between sugammadex and adverse events bronchospasm and coronary arteriospasm using a retrospective pharmacovigilance signal analysis was carried out. Methods: Food and Drug Administration’s Adverse Event Reporting System database was used to run disproportionality analyses to investigate the potential association of sugammadex with bronchospasm or coronary arteriospasm. In this analysis we report the adverse event signal using frequentist methods of Relative reporting ratio (RRR), proportional reporting ratio (PRR), reporting odds ratio (ROR) and the Bayesian based Information Component metric. Results: A statistically significant disproportionality signal is found between sugammadex and bronchospasm ( n = 44; chi-squared = 2993.87; PRR = 71.95 [95% CI: 54.00–95.85]) and sugammadex and coronary arteriospasm ( n = 6; chi-squared = 209.39; PRR = 43.82 [95% CI: 19.73–97.33]) as per Evans criteria. Both statistically significant disproportionality signals persisted when stratified by gender. Based upon dynamic cumulative PRR graph, the PRR value has steadily increased and the 95% CI narrowed since December 2012. Conclusion: The results of the pharmacovigilance analysis highlight a statistically significant disproportionality signal between sugammadex usage and bronchospasm and coronary arteriospasm adverse events. Physicians need to be aware of these adverse events when using sugammadex. The results of the pharmacovigilance signal analysis highlight a statistically significant disproportionality signal between sugammadex usage and bronchospasm and coronary arteriospasm adverse events. Physicians need to be aware of these adverse events when using sugammadex.

scholarly journals Pharmacovigilance Analysis on Cerebrovascular Accidents and Coronavirus disease 2019 Vaccines

2021 ◽  
Author(s):  
Lt. Pushkar Aggarwal
Keyword(s):  
Adverse Event ◽  
Case Reports ◽  
Adverse Event Reporting System ◽  
The United States ◽  
Adverse Event Reporting ◽  
Permanent Disability ◽  
Cerebrovascular Accidents ◽  
Randomized Controlled ◽  
Post Marketing ◽  
Using Data

AbstractIntroductionRecently, there have been reports of cerebrovascular accidents (CVA) occurring in individuals who have received the Coronavirus disease 2019 (COVID-19) vaccine.ObjectiveThe objective of this analysis was to determine if a statistically significant signal exists in post-marketing safety reports between CVA and the three COVID-19 vaccines being administered in the United States of America (Pfizer, Moderna, Janssen).MethodsA pharmacovigilance disproportionality analysis on adverse events reported with COVID-19 vaccines was conducted using data from Vaccine Adverse Event Reporting System.ResultsA statistically significant signal was found between CVA events and each of the three COVID-19 vaccines (Pfizer/BioNTech’s, Moderna’s and Janssen’s) in the VAERS database. Females and individuals of age 65 or older had higher number of case reports of CVA events with the COVID-19 vaccines. Females had also more COVID-19 adverse event reports in which a CVA was reported and resulted in the patient having permanent disability or death.LimitationsRandomized controlled trials are needed to further analyze this signal.ConclusionPatients should be made aware of the risk-benefit and symptoms to watch out for that may indicate the onset of a CVA and informed to seek medical care as soon as possible if they develop these symptoms.

Novel Adverse Events of Iloperidone: A Disproportionality Analysis in US Food and Drug Administration Adverse Event Reporting System (FAERS) Database

2019 ◽  
Vol 14 (1) ◽  
pp. 21-26 ◽  
Author(s):  
Viswam Subeesh ◽  
Eswaran Maheswari ◽  
Hemendra Singh ◽  
Thomas Elsa Beulah ◽  
Ann Mary Swaroop
Keyword(s):  
Data Mining ◽  
Adverse Event ◽  
Adverse Events ◽  
Reporting System ◽  
Adverse Event Reporting System ◽  
Adverse Event Reporting ◽  
Disproportionality Analysis ◽  
Positive Signal ◽  
Data Mining Algorithms ◽  
Mining Algorithms

Background: The signal is defined as “reported information on a possible causal relationship between an adverse event and a drug, of which the relationship is unknown or incompletely documented previously”. Objective: To detect novel adverse events of iloperidone by disproportionality analysis in FDA database of Adverse Event Reporting System (FAERS) using Data Mining Algorithms (DMAs). Methodology: The US FAERS database consists of 1028 iloperidone associated Drug Event Combinations (DECs) which were reported from 2010 Q1 to 2016 Q3. We consider DECs for disproportionality analysis only if a minimum of ten reports are present in database for the given adverse event and which were not detected earlier (in clinical trials). Two data mining algorithms, namely, Reporting Odds Ratio (ROR) and Information Component (IC) were applied retrospectively in the aforementioned time period. A value of ROR-1.96SE>1 and IC- 2SD>0 were considered as the threshold for positive signal. Results: The mean age of the patients of iloperidone associated events was found to be 44years [95% CI: 36-51], nevertheless age was not mentioned in twenty-one reports. The data mining algorithms exhibited positive signal for akathisia (ROR-1.96SE=43.15, IC-2SD=2.99), dyskinesia (21.24, 3.06), peripheral oedema (6.67,1.08), priapism (425.7,9.09) and sexual dysfunction (26.6-1.5) upon analysis as those were well above the pre-set threshold. Conclusion: Iloperidone associated five potential signals were generated by data mining in the FDA AERS database. The result requires an integration of further clinical surveillance for the quantification and validation of possible risks for the adverse events reported of iloperidone.

scholarly journals Estimated Incidence of Sugammadex-Induced Anaphylaxis Using the Korea Adverse Event Reporting System Database

2021 ◽  
Vol 10 (15) ◽  
pp. 3202
Author(s):  
Jae-Woo Ju ◽  
Nayoung Kim ◽  
Seong Mi Yang ◽  
Won Ho Kim ◽  
Ho-Jin Lee
Keyword(s):  
Risk Management ◽  
Adverse Event ◽  
General Anesthesia ◽  
Drug Safety ◽  
Reporting System ◽  
Adverse Event Reporting System ◽  
Adverse Event Reporting ◽  
Sales Volume ◽  
Event Reporting ◽  
Pharmacovigilance Database

We aimed to investigate the incidence of sugammadex-induced anaphylaxis in a large Korean population. We retrospectively investigated the incidence of sugammadex-induced anaphylaxis between 2013 and 2019 from the database of the Korea Institute of Drug Safety-Risk Management-Korea Adverse Event Reporting System (KIDS-KAERS). We estimated the incidence of sugammadex-induced anaphylaxis from the KIDS-KAERS database, assuming that the reporting efficiency was 10%, 50%, and 100%, respectively. We also investigated its annual sales volume in Korea and assumed that the exposure to sugammadex was 95% of the estimated sales volume. During the study period, 1,401,630 sugammadex vials were sold, and 19 cases of sugammadex-induced anaphylaxis were identified in the KIDS-KAERS database. The estimated incidence of sugammadex-induced anaphylaxis was 0.0143%, 0.00279%, and 0.0014%, assuming a reporting efficiency of 10%, 50%, and 100%, respectively. All patients, except for one with a missing record, fully recovered after anaphylaxis. The incidence of sugammadex-induced anaphylaxis identified in the national pharmacovigilance database was lower than previously reported rates in other countries. Therefore, its use in general anesthesia should not be hindered by concerns about the resulting risk of anaphylaxis in Korea.

Adverse events following adenovirus type 4 and type 7 vaccine, live, oral in the Vaccine Adverse Event Reporting System (VAERS), United States, October 2011–July 2018

Vaccine ◽  
2019 ◽  
Vol 37 (44) ◽  
pp. 6760-6767 ◽  
Author(s):  
Michael M. McNeil ◽  
Iwona Paradowska-Stankiewicz ◽  
Elaine R. Miller ◽  
Paige L. Marquez ◽  
Srihari Seshadri ◽  
...  
Keyword(s):  
United States ◽  
Adverse Event ◽  
Adverse Events ◽  
Reporting System ◽  
Adverse Event Reporting System ◽  
Adenovirus Type ◽  
Adverse Event Reporting ◽  
Event Reporting

scholarly journals Pharmacovigilance of Sodium-Glucose Cotransporter-2 Inhibitors for Genital Fungal Infections and Urinary Tract Infections: A Review of the Food and Drug Administration Adverse Event Reporting System Database

2018 ◽  
Vol 34 (4) ◽  
pp. 144-148
Author(s):  
Hannah Mohammad ◽  
Nancy Borja-Hart
Keyword(s):  
Urinary Tract ◽  
Tract Infection ◽  
Adverse Events ◽  
Fungal Infections ◽  
Adverse Event Reporting System ◽  
Adverse Event Reporting ◽  
Sglt2 Inhibitors ◽  
Postmarketing Surveillance ◽  
Sodium Glucose Cotransporter ◽  
Tract Infections

Background: Postmarketing surveillance had previously identified the need for revisions in the labeling of the sodium-glucose cotransporter-2 (SGLT2) inhibitors drug class related to the risk of diabetic ketoacidosis. Other adverse events have been reported. Objective: To examine postmarketing surveillance data of the SGLT2 inhibitors, using the Food and Drug Administration Adverse Event Reporting System (FAERS) database, specifically to assess prevalence of urinary tract infections (UTIs) and genital fungal infections. Methods: FAERS case reports submitted between March 2013 and November 2015 were reviewed for 6 SGLT2 inhibitors (mono and combo therapies). The Medical Dictionary for Regulatory Activities (MedDRA) was used to define preferred terms (genital fungal infections: vulvovaginal mycotic infection, vulvovaginal candidiasis, urinary tract infection fungal, and genital candidiasis; UTI: urinary tract infection, genitourinary tract infection, kidney infection, cystitis, and pyelonephritis). Word frequencies were queried using the qualitative data analysis software NVivo 11 (QSR International), and results were then individually reviewed. Results: A total of 12 581 cases were received, but 466 were excluded (total n = 12 115). A total of 348 cases related to genital fungal infections were reported (2.9% of reports submitted): dapagliflozin = 53, empagliflozin/linagliptin = 6, canagliflozin = 267, canagliflozin/metformin = 3, empagliflozin = 17, and dapagliflozin/metformin HCl ER = 2. A total of 727 cases related to UTIs were reported (6% of reports submitted): dapagliflozin = 168, empagliflozin/linagliptin = 5, canagliflozin/metformin = 8, canagliflozin = 503, empagliflozin = 38, and dapagliflozin/metformin HCl ER = 5. Conclusions: A causal relationship between SGLT2 inhibitors and the adverse events reported cannot be established due to the nature of postmarketing surveillance. However, health care providers should counsel patients about these potential adverse events.

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