PMID- 35673029
OWN - NLM
STAT- MEDLINE
DCOM- 20220609
LR  - 20240116
IS  - 1879-8365 (Electronic)
IS  - 0926-9630 (Print)
IS  - 0926-9630 (Linking)
VI  - 290
DP  - 2022 Jun 6
TI  - Detecting Drug-Drug Interactions in COVID-19 Patients.
PG  - 330-334
LID - 10.3233/SHTI220090 [doi]
AB  - COVID-19 patients with multiple comorbid illnesses are more likely to be using 
      polypharmacy to treat their COVID-19 disease and comorbid conditions. Previous 
      literature identified several DDIs in COVID-19 patients; however, various DDIs 
      are unrecognized. This study aims to discover novel DDIs by conducting 
      comprehensive research on the FDA Adverse Event Reporting System (FAERS) data 
      from January 2020 to March 2021. We applied seven algorithms to discover DDIs. In 
      addition, the Liverpool database containing DDI confirmed by clinical trials was 
      used as a gold standard to determine novel DDIs in COVID-19 patients. The seven 
      models detected 2,516 drug-drug pairs having adverse events (AEs), 49 out of 
      which were confirmed by the Liverpool database. The remaining 2,467 drug pairs 
      tested to be significant by the seven models can be candidate DDIs for clinical 
      trial hypotheses. Thus, the FAERS database, along with informatics approaches, 
      provides a novel way to select candidate drug-drug pairs to be examined in 
      COVID-19 patients.
FAU - Jeong, Eugene
AU  - Jeong E
AD  - Department of Biomedical Informatics, Vanderbilt University Medical Center and 
      Vanderbilt University School of Medicine, Nashville, Tennessee, United States.
FAU - Person, Anna K
AU  - Person AK
AD  - Division of Infectious Diseases, Vanderbilt University Medical Center, Nashville, 
      Tennessee, United States.
FAU - Stollings, Joanna L
AU  - Stollings JL
AD  - Medical Intensive Care Unit, Vanderbilt University Medical Center, Nashville, 
      Tennessee, United States.
FAU - Su, Yu
AU  - Su Y
AD  - Department of Computer Science and Engineering, The Ohio State University, 
      Columbus, Ohio, United States.
FAU - Li, Lang
AU  - Li L
AD  - Department of Biomedical Informatics, College of Medicine, The Ohio State 
      University, Columbus, Ohio, United States.
FAU - Chen, You
AU  - Chen Y
AD  - Department of Biomedical Informatics, Vanderbilt University Medical Center and 
      Vanderbilt University School of Medicine, Nashville, Tennessee, United States.
AD  - Department of Electrical Engineering & Computer Science, School of Engineering, 
      Vanderbilt University, Nashville, Tennessee, United States.
LA  - eng
GR  - R01 LM012854/LM/NLM NIH HHS/United States
GR  - R01 LM014199/LM/NLM NIH HHS/United States
GR  - T15 LM007450/LM/NLM NIH HHS/United States
PT  - Journal Article
PL  - Netherlands
TA  - Stud Health Technol Inform
JT  - Studies in health technology and informatics
JID - 9214582
MH  - Databases, Factual
MH  - Drug Interactions
MH  - *Drug-Related Side Effects and Adverse Reactions/epidemiology
MH  - Humans
MH  - Polypharmacy
MH  - *COVID-19 Drug Treatment
PMC - PMC9208760
MID - NIHMS1817224
OTO - NOTNLM
OT  - COVID-19
OT  - Drug-Drug Interactions
OT  - FAERS
EDAT- 2022/06/09 06:00
MHDA- 2022/06/10 06:00
PMCR- 2022/06/20
CRDT- 2022/06/08 01:51
PHST- 2022/06/08 01:51 [entrez]
PHST- 2022/06/09 06:00 [pubmed]
PHST- 2022/06/10 06:00 [medline]
PHST- 2022/06/20 00:00 [pmc-release]
AID - SHTI220090 [pii]
AID - 10.3233/SHTI220090 [doi]
PST - ppublish
SO  - Stud Health Technol Inform. 2022 Jun 6;290:330-334. doi: 10.3233/SHTI220090.