Cargando…
Improved Detection Criteria for Detecting Drug-Drug Interaction Signals Using the Proportional Reporting Ratio
There is a current demand for “safety signal” screening, not only for single drugs but also for drug-drug interactions. The detection of drug-drug interaction signals using the proportional reporting ratio (PRR) has been reported, such as through using the combination risk ratio (CRR). However, the...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7822185/ https://www.ncbi.nlm.nih.gov/pubmed/33374503 http://dx.doi.org/10.3390/ph14010004 |
_version_ | 1783639574908502016 |
---|---|
author | Noguchi, Yoshihiro Aoyama, Keisuke Kubo, Satoaki Tachi, Tomoya Teramachi, Hitomi |
author_facet | Noguchi, Yoshihiro Aoyama, Keisuke Kubo, Satoaki Tachi, Tomoya Teramachi, Hitomi |
author_sort | Noguchi, Yoshihiro |
collection | PubMed |
description | There is a current demand for “safety signal” screening, not only for single drugs but also for drug-drug interactions. The detection of drug-drug interaction signals using the proportional reporting ratio (PRR) has been reported, such as through using the combination risk ratio (CRR). However, the CRR does not consider the overlap between the lower limit of the 95% confidence interval of the PRR of concomitant-use drugs and the upper limit of the 95% confidence interval of the PRR of single drugs. In this study, we proposed the concomitant signal score (CSS), with the improved detection criteria, to overcome the issues associated with the CRR. “Hypothetical” true data were generated through a combination of signals detected using three detection algorithms. The signal detection accuracy of the analytical model under investigation was verified using machine learning indicators. The CSS presented improved signal detection when the number of reports was ≥3, with respect to the following metrics: accuracy (CRR: 0.752 → CSS: 0.817), Youden’s index (CRR: 0.555 → CSS: 0.661), and F-measure (CRR: 0.780 → CSS: 0.820). The proposed model significantly improved the accuracy of signal detection for drug-drug interactions using the PRR. |
format | Online Article Text |
id | pubmed-7822185 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-78221852021-01-23 Improved Detection Criteria for Detecting Drug-Drug Interaction Signals Using the Proportional Reporting Ratio Noguchi, Yoshihiro Aoyama, Keisuke Kubo, Satoaki Tachi, Tomoya Teramachi, Hitomi Pharmaceuticals (Basel) Article There is a current demand for “safety signal” screening, not only for single drugs but also for drug-drug interactions. The detection of drug-drug interaction signals using the proportional reporting ratio (PRR) has been reported, such as through using the combination risk ratio (CRR). However, the CRR does not consider the overlap between the lower limit of the 95% confidence interval of the PRR of concomitant-use drugs and the upper limit of the 95% confidence interval of the PRR of single drugs. In this study, we proposed the concomitant signal score (CSS), with the improved detection criteria, to overcome the issues associated with the CRR. “Hypothetical” true data were generated through a combination of signals detected using three detection algorithms. The signal detection accuracy of the analytical model under investigation was verified using machine learning indicators. The CSS presented improved signal detection when the number of reports was ≥3, with respect to the following metrics: accuracy (CRR: 0.752 → CSS: 0.817), Youden’s index (CRR: 0.555 → CSS: 0.661), and F-measure (CRR: 0.780 → CSS: 0.820). The proposed model significantly improved the accuracy of signal detection for drug-drug interactions using the PRR. MDPI 2020-12-23 /pmc/articles/PMC7822185/ /pubmed/33374503 http://dx.doi.org/10.3390/ph14010004 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Noguchi, Yoshihiro Aoyama, Keisuke Kubo, Satoaki Tachi, Tomoya Teramachi, Hitomi Improved Detection Criteria for Detecting Drug-Drug Interaction Signals Using the Proportional Reporting Ratio |
title | Improved Detection Criteria for Detecting Drug-Drug Interaction Signals Using the Proportional Reporting Ratio |
title_full | Improved Detection Criteria for Detecting Drug-Drug Interaction Signals Using the Proportional Reporting Ratio |
title_fullStr | Improved Detection Criteria for Detecting Drug-Drug Interaction Signals Using the Proportional Reporting Ratio |
title_full_unstemmed | Improved Detection Criteria for Detecting Drug-Drug Interaction Signals Using the Proportional Reporting Ratio |
title_short | Improved Detection Criteria for Detecting Drug-Drug Interaction Signals Using the Proportional Reporting Ratio |
title_sort | improved detection criteria for detecting drug-drug interaction signals using the proportional reporting ratio |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7822185/ https://www.ncbi.nlm.nih.gov/pubmed/33374503 http://dx.doi.org/10.3390/ph14010004 |
work_keys_str_mv | AT noguchiyoshihiro improveddetectioncriteriafordetectingdrugdruginteractionsignalsusingtheproportionalreportingratio AT aoyamakeisuke improveddetectioncriteriafordetectingdrugdruginteractionsignalsusingtheproportionalreportingratio AT kubosatoaki improveddetectioncriteriafordetectingdrugdruginteractionsignalsusingtheproportionalreportingratio AT tachitomoya improveddetectioncriteriafordetectingdrugdruginteractionsignalsusingtheproportionalreportingratio AT teramachihitomi improveddetectioncriteriafordetectingdrugdruginteractionsignalsusingtheproportionalreportingratio |