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1.
In Vivo ; 37(1): 345-356, 2023.
Artigo em Inglês | MEDLINE | ID: mdl-36593055

RESUMO

BACKGROUND/AIM: The COVID-19 prophylactic vaccine for the prevention of coronavirus infection was approved in Japan on February 14, 2021. Adverse event reports for the vaccine were collected from the Japan Adverse Drug Event Relief (JADER) database, similar to those for drugs. Reported odds ratios (RORs) and proportional reporting ratios (PRRs) are commonly used in disproportionality analysis to detect safety signals. Therefore, adverse event reports from the vaccinated population may affect the detection of safety signals for the registered drugs. This study determined the impact of adverse event reports on the detection of safety signals for a COVID-19 prophylactic vaccine by analyzing the JADER database using disproportionality analysis. PATIENTS AND METHODS: We extracted data from the JADER dataset, in which the COVID-19 vaccine was reported as a suspected drug, and selected the top 10 adverse events in terms of the number of reports. We then extracted the top 30 drugs by the amount of information in the selected 10 adverse events and compared the changes in the number of signal detections with and without the COVID-19 vaccine report data. RESULTS: The total number of adverse events reported in the JADER database during the study period was 2,002,564. Of the total number of reports, 85,489 (4.3%) reported adverse events related to the COVID-19 vaccine. Of the top 30 drugs reported in the 10 selected adverse events, the ROR and PRR were found to be lower with the inclusion of COVID-19 vaccine data than without. Detection by ROR excluded 23 out of 245 drugs, and detection by PRR excluded 34 out of 204 drugs. CONCLUSION: The rapid increase in the number of adverse event reports for the COVID-19 vaccine in JADER may affect the detection of safety signals by disproportionality analysis.


Assuntos
Vacinas contra COVID-19 , COVID-19 , Efeitos Colaterais e Reações Adversas Relacionados a Medicamentos , Humanos , Sistemas de Notificação de Reações Adversas a Medicamentos , COVID-19/epidemiologia , COVID-19/prevenção & controle , Vacinas contra COVID-19/efeitos adversos , Japão/epidemiologia
2.
Zhongguo Zhong Yao Za Zhi ; 44(7): 1497-1502, 2019 Apr.
Artigo em Chinês | MEDLINE | ID: mdl-31090310

RESUMO

To understand the characteristics of adverse reactions and find early warning signs after intake of Guizhi Fuling Capsules. The 1 500 adverse reaction(ADR) cases of Guizhi Fuling Capsules obtained by spontaneous reporting system(SRS) from 2008 to 2017 were analyzed by proportional reporting ratios method(PRR), Bayesian confidence propagation neural network method(BCPNN) and propensity score method. The number of ADR reports increased year by year, and reached the peak in the fourth quarter of 2014. A total of 1 500 ADR cases were monitored, including 10 severe ADR cases. There were a total of 934 cases aged between 18-44 years old, accounting for 62.27%. All patients were orally administered. Among them, 1 398 patients received a single dose according to the package insert, and 57.4% had ADR within 24 h. The top five clinical manifestations of ADR were gastric dysfunction, abdominal pain, nausea, vomiting and rash, which mainly damaged the digestive system. The ADR signals were analyzed. PRR suggested that "gastric dysfunction" and "abdominal pain" were the early warning signals of Guizhi Fuling Capsules. BCPNN suggested that "nausea" and "abdominal pain" were the early warning signals of Guizhi Fuling Capsules. After the propensity score weighting method was used to control the confounding factors, the warning signals remained unchanged. The results show that Guizhi Fuling Capsules has fewer adverse reactions and is relatively safe. This study provides a basis for studying ADR of Guizhi Fuling Capsules, and guidance for drug vigilance and risk management of Guizhi Fuling Capsules.


Assuntos
Efeitos Colaterais e Reações Adversas Relacionados a Medicamentos/epidemiologia , Medicamentos de Ervas Chinesas/efeitos adversos , Adolescente , Adulto , Sistemas de Notificação de Reações Adversas a Medicamentos , Teorema de Bayes , Cápsulas , Humanos , Gestão de Riscos , Adulto Jovem
3.
Artigo em Chinês | WPRIM (Pacífico Ocidental) | ID: wpr-774530

RESUMO

To understand the characteristics of adverse reactions and find early warning signs after intake of Guizhi Fuling Capsules. The 1 500 adverse reaction(ADR) cases of Guizhi Fuling Capsules obtained by spontaneous reporting system(SRS) from 2008 to 2017 were analyzed by proportional reporting ratios method(PRR), Bayesian confidence propagation neural network method(BCPNN) and propensity score method. The number of ADR reports increased year by year, and reached the peak in the fourth quarter of 2014. A total of 1 500 ADR cases were monitored, including 10 severe ADR cases. There were a total of 934 cases aged between 18-44 years old, accounting for 62.27%. All patients were orally administered. Among them, 1 398 patients received a single dose according to the package insert, and 57.4% had ADR within 24 h. The top five clinical manifestations of ADR were gastric dysfunction, abdominal pain, nausea, vomiting and rash, which mainly damaged the digestive system. The ADR signals were analyzed. PRR suggested that "gastric dysfunction" and "abdominal pain" were the early warning signals of Guizhi Fuling Capsules. BCPNN suggested that "nausea" and "abdominal pain" were the early warning signals of Guizhi Fuling Capsules. After the propensity score weighting method was used to control the confounding factors, the warning signals remained unchanged. The results show that Guizhi Fuling Capsules has fewer adverse reactions and is relatively safe. This study provides a basis for studying ADR of Guizhi Fuling Capsules, and guidance for drug vigilance and risk management of Guizhi Fuling Capsules.


Assuntos
Adolescente , Adulto , Humanos , Adulto Jovem , Sistemas de Notificação de Reações Adversas a Medicamentos , Teorema de Bayes , Cápsulas , Efeitos Colaterais e Reações Adversas Relacionados a Medicamentos , Epidemiologia , Medicamentos de Ervas Chinesas , Gestão de Riscos
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