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Original Research

New exploration of signal detection of Regional Risks from the perspective of data mining: a pharmacovigilance analysis based on spontaneous reporting data in Zhenjiang, China

, , , , , , & show all
Received 26 Sep 2023, Accepted 21 Nov 2023, Published online: 28 Nov 2023
 

ABSTRACT

Background

This study aimed to adopt the conventional signal detection methods to explore a new way of risk identification and to mine important drug risks from the perspective of big data based on Zhenjiang Adverse Event Reporting System (ZAERS).

Research design and methods

Data were extracted from ZAERS database between 2012 and 2022. The risks of all the reported drug event combinations were identified at the preferred term level and the standardized MedDRA query level using disproportionality analysis. Then, we conducted signal assessment according to the descriptions of drug labels.

Results

In total 41,473 ADE were reported and there were 12 risky signals. Signal assessment indicates the suspected causal associations in clindamycin-taste and smell disorders, valsartan-hepatic enzyme increased and valsartan-edema peripheral; the specific manifestations of allergic reactions triggered by clindamycin, cefotaxime, cefazodime, ShexiangZhuanggu plaster, ShexiangZhuifeng plaster, and Yanhuning need to be refined in drug labels. In addition, the drug labels of NiuHuangShangQing tablet/capsule, Fuyanxiao capsule, and BiYanLing tablet should be improved.

Conclusions

In this study, we attempted a new way to find potential drug risks using small spontaneous reporting data. Our findings also suggested the need for more precise identification of allergic risks and the improvement of traditional Chinese medicine labels.

Abbreviations

ADE=

Adverse Drug Event

ADR=

Adverse Drug Reaction

ARB=

Angiotensin Receptor Blocker

BCPNN=

Bayesian Confidence Propagation Neural Network

CI=

Confidence Interval

DEC=

Drug Event Combination

FAERS=

Food and Drug Administration Adverse Event Reporting System

GVP=

Good Pharmacovigilance Practice

HLT=

High Level Term

IC=

Information Component

IQR=

Interquartile Range

JADER=

Japanese Adverse Drug Event Report

MedDRA=

Medical Dictionary for Regulatory Activities

MHRA=

Medicines and Healthcare Products Regulatory Agency

NMPA=

National Medical Products Administration

PT=

Preferred Term

PRR=

Proportional Reporting Ratio

ROR=

Reporting Odds Ratio

SD=

Standard Deviation

SMQ=

Standardized MedDRA Query

SOC=

System Organ Class

SRS=

Spontaneous Reporting System

TCM=

Traditional Chinese Medicine

ZAERS=

Zhenjiang Adverse Event Reporting System

Declaration of interests

The authors have no relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties.

Reviewer disclosures

Peer reviewers on this manuscript have no relevant financial or other relationships to disclose.

Author contributions

Y Liu and N Wang provided data collection assistance. Y Liu and X Xu wrote the first draft of the manuscript and conducted the statistical analysis. Y Liu, X Xu and P Liu were involved in the conception of the study. J Yang, Y Zhang, M He, W Liao and N Wang analyzed the data. All authors were involved in the study design, interpretation of results, and critical review of the manuscript. All authors read and approved the final version.

Availability of data and materials

The database generated and analyzed during the current study doesn’t have an official download link, but it can be exported through the internal website of relevant partners (such as hospitals, etc.). If there is a need for access, anyone can contact the first author or corresponding author to obtain the data.

Ethics approval

As the present study used secondary healthcare data, it was exempted from review by the ethics committee, and informed consent from patients was not required.

Supplementary material

Supplemental data for this article can be accessed online at https://doi.org/10.1080/14740338.2023.2288143.

Additional information

Funding

This work was supported by 2022 Zhenjiang Science and Technology Innovation Fund (grant number RK2022036).

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