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Drug-induced gingival hyperplasia: a retrospective study using spontaneous reporting system databases

BACKGROUND: Drug-induced gingival hyperplasia (DIGH) causes problems with chewing, aesthetics, and pronunciation, and leads to the deterioration of the patient’s quality of life (QOL). Thus, the aim of this study was to evaluate the incidence of DIGH using spontaneous reporting system (SRS) database...

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Autores principales: Hatahira, Haruna, Abe, Junko, Hane, Yuuki, Matsui, Toshinobu, Sasaoka, Sayaka, Motooka, Yumi, Hasegawa, Shiori, Fukuda, Akiho, Naganuma, Misa, Ohmori, Tomofumi, Kinosada, Yasutomi, Nakamura, Mitsuhiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5518137/
https://www.ncbi.nlm.nih.gov/pubmed/28729910
http://dx.doi.org/10.1186/s40780-017-0088-5
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author Hatahira, Haruna
Abe, Junko
Hane, Yuuki
Matsui, Toshinobu
Sasaoka, Sayaka
Motooka, Yumi
Hasegawa, Shiori
Fukuda, Akiho
Naganuma, Misa
Ohmori, Tomofumi
Kinosada, Yasutomi
Nakamura, Mitsuhiro
author_facet Hatahira, Haruna
Abe, Junko
Hane, Yuuki
Matsui, Toshinobu
Sasaoka, Sayaka
Motooka, Yumi
Hasegawa, Shiori
Fukuda, Akiho
Naganuma, Misa
Ohmori, Tomofumi
Kinosada, Yasutomi
Nakamura, Mitsuhiro
author_sort Hatahira, Haruna
collection PubMed
description BACKGROUND: Drug-induced gingival hyperplasia (DIGH) causes problems with chewing, aesthetics, and pronunciation, and leads to the deterioration of the patient’s quality of life (QOL). Thus, the aim of this study was to evaluate the incidence of DIGH using spontaneous reporting system (SRS) databases. METHODS: We analyzed reports of DIGH from SRS databases and calculated the reporting odds ratios (RORs) of suspected drugs (immunosuppressants, calcium channel blockers, and anticonvulsants). The SRS databases used were the US Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) and the Japanese Adverse Drug Event Report (JADER) database. With the data, we evaluated the time-to-onset profile and the hazard type using the Weibull shape parameter (WSP). Furthermore, we used the association rule mining technique to discover undetected relationships such as possible risk factors. RESULTS: The FAERS contained 5,821,716 reports. The RORs (95% confidence interval: CI) for cyclosporine, everolimus, sirolimus, mycophenolate mofetil, amlodipine, nifedipine, carbamazepine, clobazam, levetiracetam, phenobarbital, phenytoin, primidone, topiramate, and valproic acid, were 39.4 (95% CI: 30.3–51.2), 4.2 (1.7–10.0), 6.6 (2.5–17.7), 13.1 (7.2–23.2), 94.8 (80.0–112.9), 57.9 (35.7–94.0), 15.1 (10.3–22.3), 65.4 (33.8–126.7), 6.5 (3.6–11.8), 19.7 (8.8–44.0), 65.4 (52.4–82.9), 56.5 (21.1–151.7), 2.9 (1.1–7.7), and 17.5 (12.6–24.4), respectively. The JADER database contained 430,587 reports. The median time-to-onset of gingival hyperplasia values for immunosuppressants, calcium channel blockers, and anticonvulsants use were 71, 262, and 37 days, respectively. Furthermore, the 95% CI of the WSP β for anticonvulsants was over and excluded 1, which meant that they were wear-out failure type. CONCLUSIONS: Our results suggest that DIGH monitoring of patients administered immunosuppressants, calcium channel blockers, or anticonvulsants is important. We demonstrated the potential risk of DIGH following the long-term use of calcium channel blocker over approximately 260 days. Based on the results of the association rule mining approach, patients with intellectual disability who are administered phenytoin should be monitored carefully. We recommend that patients who experience symptoms related to DIGH should be closely monitored.
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spelling pubmed-55181372017-07-20 Drug-induced gingival hyperplasia: a retrospective study using spontaneous reporting system databases Hatahira, Haruna Abe, Junko Hane, Yuuki Matsui, Toshinobu Sasaoka, Sayaka Motooka, Yumi Hasegawa, Shiori Fukuda, Akiho Naganuma, Misa Ohmori, Tomofumi Kinosada, Yasutomi Nakamura, Mitsuhiro J Pharm Health Care Sci Research Article BACKGROUND: Drug-induced gingival hyperplasia (DIGH) causes problems with chewing, aesthetics, and pronunciation, and leads to the deterioration of the patient’s quality of life (QOL). Thus, the aim of this study was to evaluate the incidence of DIGH using spontaneous reporting system (SRS) databases. METHODS: We analyzed reports of DIGH from SRS databases and calculated the reporting odds ratios (RORs) of suspected drugs (immunosuppressants, calcium channel blockers, and anticonvulsants). The SRS databases used were the US Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) and the Japanese Adverse Drug Event Report (JADER) database. With the data, we evaluated the time-to-onset profile and the hazard type using the Weibull shape parameter (WSP). Furthermore, we used the association rule mining technique to discover undetected relationships such as possible risk factors. RESULTS: The FAERS contained 5,821,716 reports. The RORs (95% confidence interval: CI) for cyclosporine, everolimus, sirolimus, mycophenolate mofetil, amlodipine, nifedipine, carbamazepine, clobazam, levetiracetam, phenobarbital, phenytoin, primidone, topiramate, and valproic acid, were 39.4 (95% CI: 30.3–51.2), 4.2 (1.7–10.0), 6.6 (2.5–17.7), 13.1 (7.2–23.2), 94.8 (80.0–112.9), 57.9 (35.7–94.0), 15.1 (10.3–22.3), 65.4 (33.8–126.7), 6.5 (3.6–11.8), 19.7 (8.8–44.0), 65.4 (52.4–82.9), 56.5 (21.1–151.7), 2.9 (1.1–7.7), and 17.5 (12.6–24.4), respectively. The JADER database contained 430,587 reports. The median time-to-onset of gingival hyperplasia values for immunosuppressants, calcium channel blockers, and anticonvulsants use were 71, 262, and 37 days, respectively. Furthermore, the 95% CI of the WSP β for anticonvulsants was over and excluded 1, which meant that they were wear-out failure type. CONCLUSIONS: Our results suggest that DIGH monitoring of patients administered immunosuppressants, calcium channel blockers, or anticonvulsants is important. We demonstrated the potential risk of DIGH following the long-term use of calcium channel blocker over approximately 260 days. Based on the results of the association rule mining approach, patients with intellectual disability who are administered phenytoin should be monitored carefully. We recommend that patients who experience symptoms related to DIGH should be closely monitored. BioMed Central 2017-07-19 /pmc/articles/PMC5518137/ /pubmed/28729910 http://dx.doi.org/10.1186/s40780-017-0088-5 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Hatahira, Haruna
Abe, Junko
Hane, Yuuki
Matsui, Toshinobu
Sasaoka, Sayaka
Motooka, Yumi
Hasegawa, Shiori
Fukuda, Akiho
Naganuma, Misa
Ohmori, Tomofumi
Kinosada, Yasutomi
Nakamura, Mitsuhiro
Drug-induced gingival hyperplasia: a retrospective study using spontaneous reporting system databases
title Drug-induced gingival hyperplasia: a retrospective study using spontaneous reporting system databases
title_full Drug-induced gingival hyperplasia: a retrospective study using spontaneous reporting system databases
title_fullStr Drug-induced gingival hyperplasia: a retrospective study using spontaneous reporting system databases
title_full_unstemmed Drug-induced gingival hyperplasia: a retrospective study using spontaneous reporting system databases
title_short Drug-induced gingival hyperplasia: a retrospective study using spontaneous reporting system databases
title_sort drug-induced gingival hyperplasia: a retrospective study using spontaneous reporting system databases
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5518137/
https://www.ncbi.nlm.nih.gov/pubmed/28729910
http://dx.doi.org/10.1186/s40780-017-0088-5
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