Author(s)
Tymor Carpenter Hamamsy
Published 2 Projects
Epidemiology Bioinformatics Posts16. Comments We Create A Cohort Of 1
Russ Altman
Published 17 Projects
Through Manual Identification And Other In The United States In This Paper Singapore
Content
Video Abstract (AI generated) (02:10) Paper Preprint SAEDR Scores DRIP ScoresAdverse drug reactions (ADRs) impact the health of 100,000s of individuals annually in the United States with associated costs in the hundreds of billions. The monitoring and analysis of the severity of adverse drug reactions is limited by the current qualitative and categorical system of severity classifications. Previous efforts have generated quantitative estimates for a subset of ADRs, but were limited in scope due to the time and costs associated with the efforts. We present a semi-supervised approach that estimates ADR severity by using a lexical network of ADR word embeddings and label propagation. We use this method to estimate the severity of 28,113 ADRs, representing 12,198 unique ADR concepts from MedDRA. Our Severity of Adverse Events Derived from Reddit (SAEDR) scores have good correlations with real-world outcomes. SAEDR scores had Spearman correlations with ADR case outcomes in FAERS of 0.595, 0.633, and -0.748 for death, serious outcome, and no outcome, respectively. We investigate different methods for defining initial seed term sets and evaluate their impact on severity estimates. We analyzed severity distributions for ADRs based on their appearance in Boxed Warning drug label sections, as well as ADRs with sex-specific associations. We find that ADRs discovered postmarket have significantly greater severity compared to those discovered in the clinical trial. We create quantitative Drug RIsk Profile (DRIP) scores for 968 drugs that have a Spearman correlation of 0.377 with drugs ranked by FAERS cases resulting in death, where the given drug was the primary suspect. We make the SAEDR and DRIP scores publicly available in order to enable more quantitative analysis of pharmacovigilance data.
More Projects
Loren Frank
13 views • 2 years ago
Global Immunotalks
390 views • 3 years ago
Laurel Yohe
2 views • 2 years ago
Global Immunotalks
130 views • 3 years ago
Jignesh H. Parmar
0 views • 2 years ago
Winston A. Haynes
0 views • 2 years ago
Noam Mazor
0 views • 2 years ago
Global Immunotalks
182 views • 3 years ago
Cem Yuksel
345 views • 2 years ago
Oscar Gonzalez-Recio
3 views • 2 years ago
Please pick a style:
Russ Altman. (2021, Oct 26).Quantifying the severity of adverse drug reactions using social media[Video]. Scitok. https://scitok.com/project/p/1c4aea6e
Lavertu Adam. "Quantifying the severity of adverse drug reactions using social media" Scitok, uploaded by Altman Russ, 26 Oct, 2021, https://scitok.com/project/p1c4aea6e
Russ Altman. "Quantifying the severity of adverse drug reactions using social media" Scitok. (Oct 26, 2021). https://scitok.com/project/p/1c4aea6e
Russ Altman (Oct 26, 2021). Quantifying the severity of adverse drug reactions using social media Scitok. https://scitok.com/project/p/1c4aea6e
Russ Altman. Quantifying the severity of adverse drug reactions using social media[video]. 2021 Oct 26. https://scitok.com/project/p/1c4aea6e
@online{al2006link, title={ Quantifying the severity of adverse drug reactions using social media }, author={ Altman, Russ }, organization={Scitok}, month={ Oct }, day={ 26 }, year={ 2021 }, url = {https://scitok.com/project/p/1c4aea6e}, }