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Summary of COVID-19 vaccine-related reports in the vaccine adverse event reporting system
Identification of the severe acute respiratory syndrome coronavirus 2 in humans toward the end of 2019 triggered a rapid, intensive effort to develop a vaccine. Among the first three COVID-19 vaccines granted emergency use authorization by the U. S. Food
Alice C Ceacareanu+1 more
doaj +1 more source
Clinical utility of cerebrospinal fluid biomarkers measured by LUMIPULSE® system
Abstract Objectives Cerebrospinal fluid (CSF) biomarkers of Alzheimer's disease (AD) are well‐established in research settings, but their use in routine clinical practice remains a largely unexploited potential. Here, we examined the relationship between CSF biomarkers, measured by a fully automated immunoassay platform, and brain β‐amyloid (Aβ ...
Hisashi Nojima+9 more
wiley +1 more source
Background: Everolimus is an inhibitor of the mammalian target of rapamycin and is used to treat various tumors. The presented study aimed to evaluate the Everolimus-associated adverse events (AEs) through data mining of the US Food and Drug ...
Bin Zhao+5 more
semanticscholar +1 more source
Poly ADP‐ribose polymerase inhibitors (PARPis) have significantly improved clinical effects in gynecological oncology. However, PARPis could also induce severe organ system toxicities, including the hematological system.
Yamin Shu+5 more
semanticscholar +1 more source
Abstract Background Pertuzumab is widely used for the treatment of HER2 + breast cancer. But its safety in the real world should be continuously monitored. So, we evaluated the safety of pertuzumab by pharmacovigilance analyze based on related adverse events (AEs) from the FDA Adverse Event Reporting System (FAERS) and ...
Zou, Shu-peng+5 more
openaire +2 more sources
Effects of pregnancy on neuromyelitis optica spectrum disorder and predictors of related attacks
Abstract Objective Our study aimed to investigate the influence of pregnancy on the course of neuromyelitis optica spectrum disorders (NMOSD) and to explore the independent predictors of pregnancy‐related attacks. Methods We performed a retrospective study of patients with NMOSD based on the Wingerchuk 2006 or the revised Wingerchuk 2015 criteria ...
Qin Du+7 more
wiley +1 more source
Bayesian learning of COVID-19 Vaccine safety while incorporating Adverse Events ontology [PDF]
While vaccines are crucial to end the COVID-19 pandemic, public confidence in vaccine safety has always been vulnerable. Many statistical methods have been applied to VAERS (Vaccine Adverse Event Reporting System) database to study the safety of COVID-19 vaccines. However, all these methods ignored the adverse event (AE) ontology.
arxiv
Proton pump inhibitors (PPIs) were widely used. Observational studies suggested increasing risk of kidney injury in patients with PPIs treatment. We gathered six PPI regimens and adverse reports of acute kidney injury (AKI) and chronic kidney disease ...
Bin Wu+5 more
semanticscholar +1 more source
A transient inflammatory response contributes to oxaliplatin neurotoxicity in mice
Abstract Objectives Peripheral neuropathy is a relevant dose‐limiting adverse event that can affect up to 90% of oncologic patients with colorectal cancer receiving oxaliplatin treatment. The severity of neurotoxicity often leads to dose reduction or even premature cessation of chemotherapy.
Aina Calls+9 more
wiley +1 more source
Deep Learning Prediction of Adverse Drug Reactions Using Open TG-GATEs and FAERS Databases [PDF]
With the advancements in Artificial intelligence (AI) and the accumulation of healthrelated big data, it has become increasingly feasible and commonplace to leverage machine learning technologies to analyze clinical and omics metadata to assess the possibility of adverse drug reactions or events (ADRs) in the course of drug discovery.
arxiv +1 more source