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 (<i>PRR</i>) has been reported, such as through using the combination risk ratio (...
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MDPI AG
2020-12-01
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author | Yoshihiro Noguchi Keisuke Aoyama Satoaki Kubo Tomoya Tachi Hitomi Teramachi |
author_facet | Yoshihiro Noguchi Keisuke Aoyama Satoaki Kubo Tomoya Tachi Hitomi Teramachi |
author_sort | Yoshihiro Noguchi |
collection | DOAJ |
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 (<i>PRR</i>) has been reported, such as through using the combination risk ratio (<i>CRR</i>). However, the <i>CRR</i> does not consider the overlap between the lower limit of the 95% confidence interval of the <i>PRR</i> of concomitant-use drugs and the upper limit of the 95% confidence interval of the <i>PRR</i> of single drugs. In this study, we proposed the concomitant signal score (<i>CSS</i>), with the improved detection criteria, to overcome the issues associated with the <i>CRR</i>. “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 <i>CSS</i> presented improved signal detection when the number of reports was ≥3, with respect to the following metrics: accuracy (<i>CRR</i>: 0.752 → <i>CSS</i>: 0.817), Youden’s index (<i>CRR</i>: 0.555 → <i>CSS</i>: 0.661), and <i>F</i>-measure (<i>CRR</i>: 0.780 → <i>CSS</i>: 0.820). The proposed model significantly improved the accuracy of signal detection for drug-drug interactions using the <i>PRR</i>. |
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institution | Directory Open Access Journal |
issn | 1424-8247 |
language | English |
last_indexed | 2024-03-10T13:51:12Z |
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spelling | doaj.art-ccd6f25b7bd74759bc65aa73700177672023-11-21T02:08:25ZengMDPI AGPharmaceuticals1424-82472020-12-01141410.3390/ph14010004Improved Detection Criteria for Detecting Drug-Drug Interaction Signals Using the Proportional Reporting RatioYoshihiro Noguchi0Keisuke Aoyama1Satoaki Kubo2Tomoya Tachi3Hitomi Teramachi4Laboratory of Clinical Pharmacy, Gifu Pharmaceutical University, 1-25-4, Daigakunishi, Gifu-shi, Gifu 501-1196, JapanLaboratory of Clinical Pharmacy, Gifu Pharmaceutical University, 1-25-4, Daigakunishi, Gifu-shi, Gifu 501-1196, JapanLaboratory of Clinical Pharmacy, Gifu Pharmaceutical University, 1-25-4, Daigakunishi, Gifu-shi, Gifu 501-1196, JapanLaboratory of Clinical Pharmacy, Gifu Pharmaceutical University, 1-25-4, Daigakunishi, Gifu-shi, Gifu 501-1196, JapanLaboratory of Clinical Pharmacy, Gifu Pharmaceutical University, 1-25-4, Daigakunishi, Gifu-shi, Gifu 501-1196, JapanThere 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 (<i>PRR</i>) has been reported, such as through using the combination risk ratio (<i>CRR</i>). However, the <i>CRR</i> does not consider the overlap between the lower limit of the 95% confidence interval of the <i>PRR</i> of concomitant-use drugs and the upper limit of the 95% confidence interval of the <i>PRR</i> of single drugs. In this study, we proposed the concomitant signal score (<i>CSS</i>), with the improved detection criteria, to overcome the issues associated with the <i>CRR</i>. “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 <i>CSS</i> presented improved signal detection when the number of reports was ≥3, with respect to the following metrics: accuracy (<i>CRR</i>: 0.752 → <i>CSS</i>: 0.817), Youden’s index (<i>CRR</i>: 0.555 → <i>CSS</i>: 0.661), and <i>F</i>-measure (<i>CRR</i>: 0.780 → <i>CSS</i>: 0.820). The proposed model significantly improved the accuracy of signal detection for drug-drug interactions using the <i>PRR</i>.https://www.mdpi.com/1424-8247/14/1/4spontaneous reporting systemsdrug-drug interactionproportional reporting ratiocombination risk ratioconcomitant signal score |
spellingShingle | Yoshihiro Noguchi Keisuke Aoyama Satoaki Kubo Tomoya Tachi Hitomi Teramachi Improved Detection Criteria for Detecting Drug-Drug Interaction Signals Using the Proportional Reporting Ratio Pharmaceuticals spontaneous reporting systems drug-drug interaction proportional reporting ratio combination risk ratio concomitant signal score |
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 | spontaneous reporting systems drug-drug interaction proportional reporting ratio combination risk ratio concomitant signal score |
url | https://www.mdpi.com/1424-8247/14/1/4 |
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