PMID- 32101641
OWN - NLM
STAT- MEDLINE
DCOM- 20210621
LR  - 20210621
IS  - 1097-0258 (Electronic)
IS  - 0277-6715 (Print)
IS  - 0277-6715 (Linking)
VI  - 39
IP  - 10
DP  - 2020 May 15
TI  - A super-combo-drug test to detect adverse drug events and drug interactions from 
      electronic health records in the era of polypharmacy.
PG  - 1458-1472
LID - 10.1002/sim.8490 [doi]
AB  - Pharmacoinformatics research has experienced a great deal of successes in 
      detecting drug-induced adverse events (AEs) using large-scale health record 
      databases. In the era of polypharmacy, pharmacoinformatics faces many new 
      challenges, and two significant challenges are to detect high-order drug 
      interactions and to handle strongly correlated drugs. In this article, we propose 
      a super-combo-drug test (SupCD-T) to address the aforementioned two challenges. 
      SupCD-T detects drug interactions by identifying optimal drug combinations with 
      increased AE risks. In addition, SupCD-T increases the statistical powers to 
      detect single-drug effects by combining strongly correlated drugs. Although 
      SupCD-T does not distinguish single-drug effects from their combination effects, 
      it is noticeably more powerful in selecting an individual drug effect in the 
      multiple regression analysis, where confounding justification between two 
      correlated drugs reduces the power in testing the individual drug effects on AEs. 
      Our simulation studies demonstrate that SupCD-T has generally better power 
      comparing with the multiple regression analysis. In addition, SupCD-T is able to 
      select meaningful drug combinations (eg, highly coprescribed drugs). Using 
      electronic health record database, we illustrate the utility of SupCD-T and 
      discover a number of drug combinations that have increased risk in myopathy. Some 
      novel drug combinations have not yet been investigated and reported in the 
      pharmacology research.
CI  - (c) 2020 John Wiley & Sons, Ltd.
FAU - Zhu, Anqi
AU  - Zhu A
AD  - Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel 
      Hill, North Carolina.
FAU - Zeng, Donglin
AU  - Zeng D
AD  - Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel 
      Hill, North Carolina.
FAU - Shen, Li
AU  - Shen L
AUID- ORCID: 0000-0002-5443-0503
AD  - Department of Biostatistics, Epidemiology and Informatics, University of 
      Pennsylvania, Philadelphia, Pennsylvania.
FAU - Ning, Xia
AU  - Ning X
AD  - Department of Biomedical Informatics, College of Medicine, The Ohio State 
      University, Columbus, Ohio.
FAU - Li, Lang
AU  - Li L
AD  - Department of Biomedical Informatics, College of Medicine, The Ohio State 
      University, Columbus, Ohio.
FAU - Zhang, Pengyue
AU  - Zhang P
AUID- ORCID: 0000-0002-3592-9042
AD  - Department of Biomedical Informatics, College of Medicine, The Ohio State 
      University, Columbus, Ohio.
LA  - eng
GR  - R01 AG025152/AG/NIA NIH HHS/United States
GR  - R01 GM10448301/Foundation for the National Institutes of Health/International
GR  - R01 DK102694/DK/NIDDK NIH HHS/United States
GR  - RO1 GM117206/Foundation for the National Institutes of Health/International
GR  - R01 GM124104/GM/NIGMS NIH HHS/United States
GR  - R01LM011945/Foundation for the National Institutes of Health/International
PT  - Journal Article
PT  - Research Support, N.I.H., Extramural
PT  - Research Support, U.S. Gov't, Non-P.H.S.
DEP - 20200226
PL  - England
TA  - Stat Med
JT  - Statistics in medicine
JID - 8215016
RN  - 0 (Pharmaceutical Preparations)
SB  - IM
MH  - Adverse Drug Reaction Reporting Systems
MH  - Drug Interactions
MH  - *Drug-Related Side Effects and Adverse Reactions/diagnosis/epidemiology
MH  - Electronic Health Records
MH  - Humans
MH  - *Pharmaceutical Preparations
MH  - Polypharmacy
PMC - PMC7127937
MID - NIHMS1558868
OTO - NOTNLM
OT  - EHR
OT  - SupCD-T
OT  - adverse event
OT  - drug interaction
OT  - pharmacoinformatics
EDAT- 2020/02/27 06:00
MHDA- 2021/06/22 06:00
PMCR- 2020/11/15
CRDT- 2020/02/27 06:00
PHST- 2018/10/10 00:00 [received]
PHST- 2019/11/11 00:00 [revised]
PHST- 2020/01/14 00:00 [accepted]
PHST- 2020/02/27 06:00 [pubmed]
PHST- 2021/06/22 06:00 [medline]
PHST- 2020/02/27 06:00 [entrez]
PHST- 2020/11/15 00:00 [pmc-release]
AID - 10.1002/sim.8490 [doi]
PST - ppublish
SO  - Stat Med. 2020 May 15;39(10):1458-1472. doi: 10.1002/sim.8490. Epub 2020 Feb 26.