PMID- 36916721
OWN - NLM
STAT- MEDLINE
DCOM- 20230330
LR  - 20230625
IS  - 1096-9071 (Electronic)
IS  - 0146-6615 (Linking)
VI  - 95
IP  - 3
DP  - 2023 Mar
TI  - Association of antiviral drugs and their possible mechanisms with DRESS syndrome 
      using data mining algorithms.
PG  - e28671
LID - 10.1002/jmv.28671 [doi]
AB  - Antiviral drugs are not known for drug reaction with eosinophilia and systemic 
      symptoms (DRESS) syndrome. The current study aims is to find out the association 
      of antiviral drugs and their possible mechanism with DRESS. Data mining 
      algorithms such as proportional reporting ratio that is, PRR (>/=2) with associated 
      chi(2)  value (>4), reporting odds ratio that is, ROR (>/=2) with 95% confidence 
      interval and case count (>/=3) were calculated to identify a possible signal. 
      Further, molecular docking studies were conducted to check the interaction of 
      selected antiviral drugs with possible targets. The potential signal of DRESS was 
      found to be associated with abacavir, acyclovir, ganciclovir, lamivudine, 
      lopinavir, nevirapine, ribavirin, ritonavir, and zidovudine among all selected 
      antiviral drugs. Further, subgroup analysis has also shown a potential signal in 
      different age groups and gender. The sensitivity analysis results have shown a 
      decrease in the strength of the signal, however, there was no significant impact 
      on the outcome except for acyclovir. The docking results have indicated the 
      possible involvement of human leukocyte antigen (HLA)*B1502 and HLA*B5801. The 
      positive signal of DRESS was found with selected antiviral drugs except for 
      acyclovir.
CI  - (c) 2023 Wiley Periodicals LLC.
FAU - Sharma, Akash
AU  - Sharma A
AD  - Department of Clinical Research, Delhi Pharmaceutical Sciences and Research 
      University (DPSRU), New Delhi, India.
FAU - Roy, Sweta
AU  - Roy S
AD  - Department of Pharmacology, Delhi Pharmaceutical Sciences and Research University 
      (DPSRU), New Delhi, India.
FAU - Sharma, Ruchika
AU  - Sharma R
AD  - Centre for Precision Medicine and Pharmacy, Delhi Pharmaceutical Sciences and 
      Research University (DPSRU), New Delhi, India.
FAU - Kumar, Anoop
AU  - Kumar A
AD  - Department of Clinical Research, Delhi Pharmaceutical Sciences and Research 
      University (DPSRU), New Delhi, India.
AD  - Department of Pharmacology, Delhi Pharmaceutical Sciences and Research University 
      (DPSRU), New Delhi, India.
LA  - eng
PT  - Journal Article
PL  - United States
TA  - J Med Virol
JT  - Journal of medical virology
JID - 7705876
RN  - 0 (Antiviral Agents)
RN  - 0 (Histocompatibility Antigens Class I)
RN  - 0 (HLA Antigens)
RN  - X4HES1O11F (Acyclovir)
SB  - IM
CIN - J Med Virol. 2023 Jun;95(6):e28839. PMID: 37247393
MH  - Humans
MH  - *Antiviral Agents/adverse effects
MH  - *Drug Hypersensitivity Syndrome/etiology
MH  - Molecular Docking Simulation
MH  - Histocompatibility Antigens Class I
MH  - HLA Antigens
MH  - Acyclovir
MH  - Algorithms
MH  - Data Mining
OTO - NOTNLM
OT  - DRESS
OT  - antiviral drugs
OT  - data mining algorithms
OT  - docking study
EDAT- 2023/03/15 06:00
MHDA- 2023/03/30 06:11
CRDT- 2023/03/14 08:23
PHST- 2023/02/22 00:00 [revised]
PHST- 2022/11/09 00:00 [received]
PHST- 2023/03/11 00:00 [accepted]
PHST- 2023/03/30 06:11 [medline]
PHST- 2023/03/15 06:00 [pubmed]
PHST- 2023/03/14 08:23 [entrez]
AID - 10.1002/jmv.28671 [doi]
PST - ppublish
SO  - J Med Virol. 2023 Mar;95(3):e28671. doi: 10.1002/jmv.28671.