Detection of unknown ototoxic adverse drug reactions: an electronic healthcare record-based longitudinal nationwide cohort analysis

Abstract Ototoxic medications can lead to significant morbidity. Thus, pre-marketing clinical trials have assessed new drugs that have ototoxic potential. Nevertheless, several ototoxic side effects of drugs may remain undetected. Hence, we sought to retrospectively investigate the potential risk of...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Suehyun Lee, Jaehun Cha, Jong-Yeup Kim, Gil Myeong Son, Dong-Kyu Kim
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
R
Q
Acceso en línea:https://doaj.org/article/dd894c6b9ff841efac4fb3b5e65d0ed3
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:dd894c6b9ff841efac4fb3b5e65d0ed3
record_format dspace
spelling oai:doaj.org-article:dd894c6b9ff841efac4fb3b5e65d0ed32021-12-02T15:39:50ZDetection of unknown ototoxic adverse drug reactions: an electronic healthcare record-based longitudinal nationwide cohort analysis10.1038/s41598-021-93522-z2045-2322https://doaj.org/article/dd894c6b9ff841efac4fb3b5e65d0ed32021-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-93522-zhttps://doaj.org/toc/2045-2322Abstract Ototoxic medications can lead to significant morbidity. Thus, pre-marketing clinical trials have assessed new drugs that have ototoxic potential. Nevertheless, several ototoxic side effects of drugs may remain undetected. Hence, we sought to retrospectively investigate the potential risk of ototoxic adverse drug reactions among commonly used drugs via a longitudinal cohort study. An electronic health records-based data analysis with a propensity-matched comparator group was carried out. This study was conducted using the MetaNurse algorithm for standard nursing statements on electronic healthcare records and the National Sample Cohort obtained from the South Korea National Health Insurance Service. Five target drugs capable of causing ototoxic adverse drug reactions were identified using MetaNurse; two drugs were excluded after database-based analysis because of the absence of bilateral hearing loss events in patients. Survival analysis, log-rank test, and Cox proportional hazards regression models were used to calculate the incidence, survival rate, and hazard ratio of bilateral hearing loss among patients who were prescribed candidate ototoxic drugs. The adjusted hazard ratio of bilateral hearing loss was 1.31 (1.03–1.68), 2.20 (1.05–4.60), and 2.26 (1.18–4.33) in cimetidine, hydroxyzine, and sucralfate users, respectively. Our results indicated that hydroxyzine and sucralfate may cause ototoxic adverse drug reactions in patients. Thus, clinicians should consider avoiding co-administration of these drugs with other well-confirmed ototoxic drugs should be emphasized.Suehyun LeeJaehun ChaJong-Yeup KimGil Myeong SonDong-Kyu KimNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Suehyun Lee
Jaehun Cha
Jong-Yeup Kim
Gil Myeong Son
Dong-Kyu Kim
Detection of unknown ototoxic adverse drug reactions: an electronic healthcare record-based longitudinal nationwide cohort analysis
description Abstract Ototoxic medications can lead to significant morbidity. Thus, pre-marketing clinical trials have assessed new drugs that have ototoxic potential. Nevertheless, several ototoxic side effects of drugs may remain undetected. Hence, we sought to retrospectively investigate the potential risk of ototoxic adverse drug reactions among commonly used drugs via a longitudinal cohort study. An electronic health records-based data analysis with a propensity-matched comparator group was carried out. This study was conducted using the MetaNurse algorithm for standard nursing statements on electronic healthcare records and the National Sample Cohort obtained from the South Korea National Health Insurance Service. Five target drugs capable of causing ototoxic adverse drug reactions were identified using MetaNurse; two drugs were excluded after database-based analysis because of the absence of bilateral hearing loss events in patients. Survival analysis, log-rank test, and Cox proportional hazards regression models were used to calculate the incidence, survival rate, and hazard ratio of bilateral hearing loss among patients who were prescribed candidate ototoxic drugs. The adjusted hazard ratio of bilateral hearing loss was 1.31 (1.03–1.68), 2.20 (1.05–4.60), and 2.26 (1.18–4.33) in cimetidine, hydroxyzine, and sucralfate users, respectively. Our results indicated that hydroxyzine and sucralfate may cause ototoxic adverse drug reactions in patients. Thus, clinicians should consider avoiding co-administration of these drugs with other well-confirmed ototoxic drugs should be emphasized.
format article
author Suehyun Lee
Jaehun Cha
Jong-Yeup Kim
Gil Myeong Son
Dong-Kyu Kim
author_facet Suehyun Lee
Jaehun Cha
Jong-Yeup Kim
Gil Myeong Son
Dong-Kyu Kim
author_sort Suehyun Lee
title Detection of unknown ototoxic adverse drug reactions: an electronic healthcare record-based longitudinal nationwide cohort analysis
title_short Detection of unknown ototoxic adverse drug reactions: an electronic healthcare record-based longitudinal nationwide cohort analysis
title_full Detection of unknown ototoxic adverse drug reactions: an electronic healthcare record-based longitudinal nationwide cohort analysis
title_fullStr Detection of unknown ototoxic adverse drug reactions: an electronic healthcare record-based longitudinal nationwide cohort analysis
title_full_unstemmed Detection of unknown ototoxic adverse drug reactions: an electronic healthcare record-based longitudinal nationwide cohort analysis
title_sort detection of unknown ototoxic adverse drug reactions: an electronic healthcare record-based longitudinal nationwide cohort analysis
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/dd894c6b9ff841efac4fb3b5e65d0ed3
work_keys_str_mv AT suehyunlee detectionofunknownototoxicadversedrugreactionsanelectronichealthcarerecordbasedlongitudinalnationwidecohortanalysis
AT jaehuncha detectionofunknownototoxicadversedrugreactionsanelectronichealthcarerecordbasedlongitudinalnationwidecohortanalysis
AT jongyeupkim detectionofunknownototoxicadversedrugreactionsanelectronichealthcarerecordbasedlongitudinalnationwidecohortanalysis
AT gilmyeongson detectionofunknownototoxicadversedrugreactionsanelectronichealthcarerecordbasedlongitudinalnationwidecohortanalysis
AT dongkyukim detectionofunknownototoxicadversedrugreactionsanelectronichealthcarerecordbasedlongitudinalnationwidecohortanalysis
_version_ 1718385904232431616