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PubMed · 10185290

ADRs--problem or opportunity?

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R Jackson. 1998. ADRs--problem or opportunity?. https://pubmed.ncbi.nlm.nih.gov/10185290/

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Generating signals of drug-adverse effects from prescription databases and application to the risk of arrhythmia associated with antibacterials.

BACKGROUND: Although it is well known that a variety of antibacterials may incidentally cause malignant arrhythmia, the list of drugs causing arrhythmia and the impact of these adverse effects are still uncertain. We investigated on this topic by using a large prescription database with different observational designs. METHODS: Prescription data on all incident users of several antibacterial and antiarrhythmic drugs over the period July 1997 through December 1999 were retrieved from the Drug Prescription Database (DPD) of the Italian Province of Varese. The association between the use of antibacterial and antiarrhythmic drugs was investigated by applying prescription sequence symmetry, cohort and nested case-control designs. RESULTS: Lower proarrhythmic effects were on an average obtained from prescription sequence symmetry approach with respect to both cohort and nested case-control. Evidence of association between exposure to drugs (erythromycin and ciprofloxacin) and the risk of arrhythmia was consistently found by the three approaches. No other signals were generated from the prescription sequence symmetry analysis. Two drugs (clarithromycin and levofloxacin) showed patterns compatible with an arrhythmic effect according to both cohort and nested case-control designs. CONCLUSIONS: Prescription databases are useful tools to explore drug safety through both conventional and emerging observational designs. In spite of its appealing features, prescription sequence symmetry design shows lower sensitivity with respect to conventional designs. Evidence about the association between the use of certain macrolides and fluoroquinolones and the onset of arrhythmia is confirmed by this study.

Adverse Drug Reaction Reporting Systems↗

A pilot study to build a database on seven anti-hypertensive drugs.

PURPOSE: In Japan, all patients are able to see freely any clinics or hospitals. So clinical data of all patients have been stored at clinics, hospitals and medical institutes respectively. These patients' clinical course data stocks have not been combined with one another. There is no large-scale database, which has been available and has played its role in complementing spontaneous adverse drug reaction (ADR) reporting system. We tried to build an original database using anti-hypertensive drugs' data from Drug Use Investigation conducted for the Japanese Drug Re-examination application by every pharmaceutical manufacturer in conformity with Japanese Pharmaceutical Affairs Law and Related Regulation. METHODS: The 43 565 case data of seven anti-hypertensive drugs (one Ca-antagonist, one alpha-blocker, two beta-blockers, three ACE inhibitors) were kindly offered from seven manufacturers who were members of RAD-AR Council, Japan. After examining the data items and categories, they were standardized into common codes based on Japanese Drug Category Classification (JDCC), International Classification of Diseases 9 (ICD-9) and Japanese Adverse Drug Reaction Terminology (J-ART). As each manufacturer had a different coding method in accordance to manufacturer's own practice of data management, the original forms were divided into several datasets. The data processing and statistical analysis were conducted using Statistical Analysis System (SAS). RESULTS: (1) Technology and know-how to combine data coded by different methods were established for building a database that had never been tried in Japan. (2) The following are the by-products of the study: a) Onset of ADR concentrated in the early stage but onset of some disorders prevailed equally throughout the investigation period. b) Although the number of collected cases of anti-hypertensive drugs was 43 565, total number of administrated anti-hypertensive drugs reached to 70 714 because additional anti-hypertensive drugs were often used with subject drugs. CONCLUSION: There is no large-scale database of patients' clinical course in Japan. However, since the Japanese Drug Re-examination System started in 1979, almost eight million cases of Drug Use Investigation on about 700 drugs have been collected with enormous human power and huge expenditure for Japanese Drug Re-examination application by pharmaceutical manufacturers. New and more appropriate information will be detected by the database, built using Drug Use Investigation data that were collected only for the Japanese Drug Re-examination application.

Adverse Drug Reaction Reporting Systems↗

Pharmacovigilance-related topics at the level of the International Conference on Harmonisation (ICH).

Marketing authorisations for medicines need to be based on the universal criteria quality, safety and efficacy, whilst taking into account local public health needs. With view to using resources efficiently and avoiding delay in access to medicines, scientific standards for investigating quality, safety and efficacy should be universal too. A major step to achieve this was taken in 1990 when the International Conference on Harmonisation of Technical Requirements for Registration of Pharmaceuticals for Human Use (ICH) was established between authorities and industry in the European Union (EU), Japan and the United States. Since then more than 50 ICH Guidelines have been published, out of which six are specific to pharmacovigilance. They refer to management and expedited reporting of individual adverse drug reaction (ADR) cases, including electronic formats, periodic reporting of worldwide data and planning of pharmacovigilance. Their development has to be seen in the context of initiatives taken in the three ICH Regions to strengthen pharmacovigilance. Most recently this involves making use of risk management concepts, reflecting new thinking of proactivity in pharmacovigilance. Moreover, consideration is given to regional and international cooperation beyond the ICH Regions.

Adverse Drug Reaction Reporting Systems↗