Data mining of adverse drug reaction of iodine contrast media based on spontaneous reporting system / 中国药房

OBJECTIVE To mine the risk sig nals o f iodine contrast media from spontaneous reporting system. METHODS Reporting odds ratio ，proportional reporting ratio ，Medicines and Healthcare Products Regulatory Agency and Bayesian confidence propagation neural network were used to mine risk signals of 5 iodine contrast media （iopamidol，iohexol，iopromide，ioversol， iodixanol）. RESULTS 1 164（2 446 case times ）adverse drug reaction of iodine contrast media were included ，a total of 14 risk signals involving systems/organs such as respiratory system （3，2，4，3，2 for the above 5 iodine contrast media ）and immune system and 32 specific adverse drug reaction signals including anaphylactic shock ，rash and flushing （11，7，7，3，4 for the above 5 iodine contrast media ）were found in 5 iodine contrast media. CONCLUSIONS The risk signals of 5 iodine contrast media verify that there is a certain correlation between these drugs and above adverse drug reactions. It is suggested that before using iodine contrast media in clinic ，it is necessary to pay attention to whether the patient has a history of tumor and combined medication ，evaluate the patient’s renal function ，and give preventive measures such as hydration in advance. When using iodine contrast media ，it is necessary to pay attention to the temperature ，dose and injection rate. And medical staff need to follow up the patient ’s situation in time after using iodine contrast media to avoiding the impact of delayed adverse reactions.

Analysis of adverse reactions risk signal of Xinyuan Capsules based on national ADR monitoring spontaneous reporting system / 中国中药杂志

In recent years, the safety problems and events of traditional Chinese medicine represented by liver injury have occurred frequently. In particular, Polygonum multiflorum has been widely used and considered as a "non-toxic" tonic traditional Chinese medicine for thousands of years. However, in recent years, frequent reports of liver injury events have attracted widespread attention at home and abroad, which has made unfavorable impacts on traditional Chinese medicine and its international development. Some scho-lars have found that susceptible genes of P. multiflorum on liver injury lay a scientific foundation for formulating rational comprehensive prevention and control measures for liver injury risk of P. multiflorum and its relevant preparations. But what are the risk signals of adverse reactions of P. multiflorum in clinical application? Spontaneous reporting system is an important way to monitor and find adverse drug reaction(ADR) signals after the drug is launched in the market. It can find the ADR signals in time and effectively, and then effectively prevent and avoid the occurrence of adverse drug events. At present, the data mining technique has gradually become the main method of ADR/adverse event(AE) report analysis and evaluation at home and abroad. Specifically, Bayesian confidence propagation neural network in Bayesian method is a commonly used risk signal early warning analysis method. In this paper, BCPNN method was used to excavate the risk signals of adverse reactions of Xinyuan Capsules, a traditional Chinese medicine preparation containing P. multiflorum, such as nausea, diarrhea, rash, dizziness, vomiting, abdominal pain, headache, liver cell damage, so as to provide evidence-based evidence for clinical safe and rational use of drugs.

Analysis of adverse reactions of Xianling Gubao preparation based on real world SRS data / 中国中药杂志

From January 1, 2004 to July 21, 2016 a total of 2 796 cases of adverse drug reaction/adverse event(ADR/AE) after the use of Xianling Gubao Capsules/Tablets were reported by National Adverse Drug Reaction Monitoring Center. The following results were obtained by analyzing the reports of 2 796 cases of adverse drug reactions/adverse drug events after the use of Xianling Gubao Capsules/Tablets. A total of 75 patients, accounting for 2.68% of the total ADR/AE time, had severe ADR/AE events. Among them, 30 patients were aged 65 and above, accounting for 40.00% of the total number of severe ADR/AE patients. All the patients with ADR/AE were aged 45-64 years, which totaled 1 346 cases and took up 48.14% of the total patients with ADR/AE. All of ADR/AE cases and severe ADR/AE cases were orally given Xianling Gubao Capsules/Tablets. Females accounted for 52.50% and 76.00%, respectively, and the proportion of females was significantly higher than that of males. Among patients with a medical history of ADR/AE, severe ADR/AE was higher than the average, accounting for about 1.33%. The proportion of cases orally given 1-3 tablets of Xianling Gubao Capsules/Tablets in all ADR/AE cases and severe ADR/AE cases was 95.32% and 96.00%, which conformed to the usage in the package insert. All ADR/AE cases and severe ADR/AE cases orally given Xianling Gubao Capsules/Tablets twice daily occupied the highest proportions, or 77.00% and 61.00%, respectively. The proportion of severe ADR/AE cases orally given Xianling Gubao Capsules/Tablets was slightly higher than that of all ADR/AE cases in the medication frequency, which didn't conform to the usage in the package insert. All the symptoms of ADR/AE orally given Xianling Gubao Capsules showed many manifestations, and the top 10 symptoms were nausea, rash, itching, stomach dysfunction, vomiting, abdominal pain, dizziness, diarrhea, anaphylaxis, and reflux heartburn. The symptoms of severe ADR/AE after oral administration of Xianling Gubao Capsules were varied, and the top 10 symptoms were abnormal liver function, rash, suffocation, itching, dizziness, vomiting, anaphylaxis, abdominal pain, weakness, and convulsions. Abnormal liver function accounted for 44.12%. All of ADR/AE cases occurred within 2 days after oral administration of Xianling Gubao Capsules/Tablets, accounting for 54.26%. Severe ADR/AE occurred within 2 days after the use of Xianling Gubao Capsules/Tablets, accounting for 25.34%. The proportion of ADR/AE cases occurring within 15 days after oral administration of Xianling Gubao Capsules/Tablets increased again(57.33%). The overall trend contained two peaks.

Analysis of adverse drug reaction/adverse event and early warning signal mining of Ginkgo biloba Dropping Pills based on SRS data / 中国中药杂志

In order to understand the characteristics of adverse drug reaction/adverse event(ADR/AE) of Ginkgo biloba Dropping Pills and evaluate the safety of clinical use after marketing, 407 ADR/AE case report data of Ginkgo biloba Dropping Pills collected by National Center for ADR Monitoring System during 2009-2018 was systematically analyzed, and its general characteristics were analyzed using descriptive statistical methods. The results showed that among the 407 cases of spontaneous reporting system(SRS) data, 401 cases were general ADR/AE, accounting for 98.5%, and 6 cases were severe ADR/AE, accounting for 1.5%; there were more females than males(171/150) in ADR/AE, and they were mainly middle-aged and elderly people aged 45-64 years(152 cases, accounting for 37.35%); gastrointestinal system(23.89%) was mostly involved in ADR/AE. The top ten clinical symptoms were nausea(15.49%), dizziness(9.88%), vomiting(8.11%), rash(5.60%), chest tightness(5.46%), palpitations(5.31%), pruritus(4.72%), headache(4.57%), abdominal distension(3.83%), gastric dysfunction(3.54%); proportional reporting ratio(PRR) and Bayesian confidence progressive neural network method(BCPNN) were adopted to mine ADR/AE warning signals. Due to the small sample size, there were only 0-2 ADR/AE cases with various symptoms in many quarters, with no warning signal by PRR and BCPNN methods. The findings suggest that ADR/AE of Ginkgo biloba Dropping Pills based on SRS system was not recorded in the package insert, and further active monitoring studies shall be conducted to improve relevant ADR/AE information and pay attention to its clinical drug safety issues.

Creating a Checklist and a Survey on Research That Used the Japanese Adverse Drug Event Report Database / 医薬品情報学

Objective: The purpose of this study was to create a checklist that summarizes checkpoints that should be noted when using the Japanese Adverse Drug Event Report database (JADER). After we created the checklist, we then used it to survey published academic papers that used JADER.Method: First, we created a draft checklist for research that uses JADER by citing the report of CIOMS working group VIII “Practical Aspects of Signal Detection in Pharmacovigilance”. Then, we conducted a pilot test and revised the draft checklist. Finally, the checklist was completed after the review by a pharmacoepidemiology expert. The checklist was applied to published academic papers that used JADER, and the fulfill rate of each checkpoints was calculated.Results: A “checklist of important points to be noted during research that uses the data mining method in JADER (mainly signal detection by disproportionality analysis)” was created. We also revealed problems with published academic papers that used JADER. For example, some researchers were thought to be inappropriately using JADER as a source of their research while others used an inappropriate version of MedDRA.Conclusion: The checklist created in this study summarizes key points that could be noted in research that uses JADER and is thought to contribute to an improvement in quality of research that uses JADER. Additionally, in our investigation of published academic papers that used JADER, we found the possibility that both the role of signal detection and the impact on analysis of JADER using the updated MedDRA version are not well understood.

Analysis on 1 500 adverse reactions of Guizhi Fuling Capsules based on spontaneous response system / 中国中药杂志

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.

Study on Signal Detection of Xiyanping Injection-induced Urticaria Based on BCPNN Warning Technology / 中国药房

OBJECTIVE:To explore and analyze signals of Xiyanping injection-induced urticaria from spontaneous reporting system database of Jiangxi province. METHODS:The continuous ADR report monitoring data were collected from spontaneous re-porting system of Jiangxi province,and established database. Bayesian confidence propagation neural network(BCPNN) method was used to calculate information component,IC value of Xiyanping injection-induced urticaria. The year-to-year changes of IC val-ue and its interval were analyzed. RESULTS:A total of 328324 ADR reports were collected in Jiangxi province during 2004-2016. The IC value of Xiyanping injection-induced urticaria detected by BCPNN method was 1.10(the lower limit of IC value was 0.65, and upper limit was 1.54),i.e. there was signal and the IC value ranged from-0.87 to 1.65. CONCLUSIONS:The results of BCPNN method suggest that urticaria is a warning signal of Xiyanping injection. The risk is increasing gradually,and prediction precision increase with the addition of report quantity.

New Strategy for Pharmacovigilance Using Data-Mining Methods in Pharmaceuticals and Medical Devices Agency / 薬剤疫学

During FY 2004 through 2008, as one of the projects in the first medium term plan, the Pharmaceuticals and Medical Devices Agency(PMDA)had been engaged in the research and establishment of data mining method as an operational support tool to assist staff in charge of post-marketing safety measures, with the goal to implement this tool in April 2009.<br>This article was written with objective to demonstrate the current operation process of data mining in PMDA.

Signal Detection of Adverse Drug Reactions / 薬剤疫学

During the post-approval period, hypotheses about potentially new adverse drug reactions (ADR) have traditionally emerged from passive surveillance systems that collect large volumes of spontaneous case reports of suspected adverse drug reactions. With signal detection by traditional (or conventional, or manual) methods, quantitative (or statistical, or automated) methods for spontaneous reporting system (SRS) databases were introduced in the late 1990’s in order to detect serious ADR as early as possible. Most quantitative methods rely on comparisons of relative reporting frequencies, also known as disproportionality analyses. In FY 2009, the Pharmaceuticals and Medical Device Agency (PMDA) plans to introduce the quantitative methods (data mining method) used on Japanese SRS database. This paper introduces the recent situation on signal detection and signal management of adverse drug reactions.

Analysis on Spontaneous Reporting System of ADR Monitoring / 中国药房

OBJECTIVE:To investigate the form, advantage, limitation, influence factor and effect of spontaneous reporting system of ADR monitoring. METHODS: Based on domestic and foreign literatures and information, the importance of spontaneous reporting system of ADR monitoring was evaluated with the method of literature analysis according to the condition of China. RESULTS&CONCLUSION: Spontaneous reporting system of ADR monitoring is the foundation of drug risk management and is the most rapid, powerful and economic administration method of early warning for drug safety monitoring.

ADR Monitoring—One of the Important Contents of Clinical Pharmacy / 中国药房

A pilot study for setting up an ADR monitoring and reporting system had been carried out in 14 hospitals located in 5 provinces and municipalities of China during 1988 to 1990. According to the situation of the pilot study,this article discusses some problems related to ADR monitoring,such as the duality of medicines, reasons of ADRs,gravity of ADR risk, factors influencing the developing of ADRs, causality assessment, some points for attention in ADR monitoring, advantages and disadvantages of spontaneous reporting system, pharmacoepidemiology, etc.