Comparison of potential drug-drug interactions with metabolic syndrome medications detected by two databases.

BACKGROUND:Drug-drug interactions (DDIs) are one of the most common drug-related problems. Recently, electronic databases have drug interaction tools to search for potential DDIs, for example, Micromedex and Drugs.com. However, Micromedex and Drugs.com have different abilities in detecting potential...

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Main Authors: Bovornpat Suriyapakorn, Pun Chairat, Suwanan Boonyoprakarn, Pimonwan Rojanarattanangkul, Wassana Pisetcheep, Natthaphon Hunsakunachai, Pornpun Vivithanaporn, Supakit Wongwiwatthananukit, Phisit Khemawoot
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0225239
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spelling doaj-8d5bb9a3839843b8a2939c058aabc92d2021-03-03T21:17:13ZengPublic Library of Science (PLoS)PLoS ONE1932-62032019-01-011411e022523910.1371/journal.pone.0225239Comparison of potential drug-drug interactions with metabolic syndrome medications detected by two databases.Bovornpat SuriyapakornPun ChairatSuwanan BoonyoprakarnPimonwan RojanarattanangkulWassana PisetcheepNatthaphon HunsakunachaiPornpun VivithanapornSupakit WongwiwatthananukitPhisit KhemawootBACKGROUND:Drug-drug interactions (DDIs) are one of the most common drug-related problems. Recently, electronic databases have drug interaction tools to search for potential DDIs, for example, Micromedex and Drugs.com. However, Micromedex and Drugs.com have different abilities in detecting potential DDIs, and this might cause misinformation to occur between patients and health care providers. METHODS AND FINDINGS:The aim of this study was to compare the ability of Micromedex and Drugs.com to detect potential DDIs with metabolic syndrome medications using the drug list from the U-central database, King Chulalongkorn Memorial Hospital in April 2019. There were 90 available drugs for the treatment of the metabolic syndrome and its associated complications, but six were not found in the Micromedex and Drugs.com databases; therefore, only 84 items were used in the present study. There were 1,285 potential DDI pairs found by the two databases. Micromedex reported DDIs of 724 pairs, while, Drugs.com reported 1,122 pairs. For the severity of the potential DDI reports, the same severity occurred between the two databases of 481 pairs (37.43%) and a different severity for 804 pairs (62.57%). CONCLUSION:Drugs.com had a higher sensitivity to detect potential DDIs by approximately 1.5-fold, but Micromedex supplied more informative documentation for the severity classification. Therefore, pharmacists should use at least two databases to evaluate potential DDIs and determine the appropriate drug regimens for physician communications and patient consultations.https://doi.org/10.1371/journal.pone.0225239
collection DOAJ
language English
format Article
sources DOAJ
author Bovornpat Suriyapakorn
Pun Chairat
Suwanan Boonyoprakarn
Pimonwan Rojanarattanangkul
Wassana Pisetcheep
Natthaphon Hunsakunachai
Pornpun Vivithanaporn
Supakit Wongwiwatthananukit
Phisit Khemawoot
spellingShingle Bovornpat Suriyapakorn
Pun Chairat
Suwanan Boonyoprakarn
Pimonwan Rojanarattanangkul
Wassana Pisetcheep
Natthaphon Hunsakunachai
Pornpun Vivithanaporn
Supakit Wongwiwatthananukit
Phisit Khemawoot
Comparison of potential drug-drug interactions with metabolic syndrome medications detected by two databases.
PLoS ONE
author_facet Bovornpat Suriyapakorn
Pun Chairat
Suwanan Boonyoprakarn
Pimonwan Rojanarattanangkul
Wassana Pisetcheep
Natthaphon Hunsakunachai
Pornpun Vivithanaporn
Supakit Wongwiwatthananukit
Phisit Khemawoot
author_sort Bovornpat Suriyapakorn
title Comparison of potential drug-drug interactions with metabolic syndrome medications detected by two databases.
title_short Comparison of potential drug-drug interactions with metabolic syndrome medications detected by two databases.
title_full Comparison of potential drug-drug interactions with metabolic syndrome medications detected by two databases.
title_fullStr Comparison of potential drug-drug interactions with metabolic syndrome medications detected by two databases.
title_full_unstemmed Comparison of potential drug-drug interactions with metabolic syndrome medications detected by two databases.
title_sort comparison of potential drug-drug interactions with metabolic syndrome medications detected by two databases.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2019-01-01
description BACKGROUND:Drug-drug interactions (DDIs) are one of the most common drug-related problems. Recently, electronic databases have drug interaction tools to search for potential DDIs, for example, Micromedex and Drugs.com. However, Micromedex and Drugs.com have different abilities in detecting potential DDIs, and this might cause misinformation to occur between patients and health care providers. METHODS AND FINDINGS:The aim of this study was to compare the ability of Micromedex and Drugs.com to detect potential DDIs with metabolic syndrome medications using the drug list from the U-central database, King Chulalongkorn Memorial Hospital in April 2019. There were 90 available drugs for the treatment of the metabolic syndrome and its associated complications, but six were not found in the Micromedex and Drugs.com databases; therefore, only 84 items were used in the present study. There were 1,285 potential DDI pairs found by the two databases. Micromedex reported DDIs of 724 pairs, while, Drugs.com reported 1,122 pairs. For the severity of the potential DDI reports, the same severity occurred between the two databases of 481 pairs (37.43%) and a different severity for 804 pairs (62.57%). CONCLUSION:Drugs.com had a higher sensitivity to detect potential DDIs by approximately 1.5-fold, but Micromedex supplied more informative documentation for the severity classification. Therefore, pharmacists should use at least two databases to evaluate potential DDIs and determine the appropriate drug regimens for physician communications and patient consultations.
url https://doi.org/10.1371/journal.pone.0225239
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