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      Epidemiology of drug exposure and adverse drug reactions in two Swiss departments of internal medicine : Drug exposure and adverse drug reactions in inpatients

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          Abstract

          To explore drug exposure, frequency of adverse drug reactions (ADRs), types of ADRs, predisposing risk factors and ADR-related excess hospital stay in medical inpatients. Structured data regarding patient characteristics, 'events' (symptoms, laboratory results), diagnoses (ICD10) and drug therapy were collected using a computer-supported data entry system and an interface for data retrieval from electronic patient records. ADR data were collected by 'event monitoring' to minimize possible bias by the drug monitor. The causality of each event was assessed in relation to disease(s) and drug therapy. The analysis included 4331 (100%) hospitalizations. The median observation period was 8 days. The median number of different drugs administered per patient and day was 6 and varied between 4 (Q1 ) and 9 (Q3 ) different drugs in 50% of all hospital days. In 41% of all hospitalizations at least one disease-unrelated event could be possibly attributed to drug therapy. Clinically relevant ADRs occurred in 11% of all hospitalizations. In 3.3% of all hospitalizations ADRs were the cause of hospital admission. The incidence of possibly ADR-related deaths was 1.4. Factors predisposing for clinically relevant ADRs were female gender and polypharmacy. ADR-related excess hospital stay accounted for 8. 6% of hospital days. These data demonstrate the feasibility of the developed 'event monitoring' system for quantitative analysis of ADRs in medical inpatients. With increasing numbers of recorded patients the pharmacoepidemiological database provides a valuable tool to study specific questions regarding drug efficacy and safety in hospitalized patients.

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          Toward the operational identification of adverse drug reactions.

          The evaluation of adverse drug reactions in clinical practice is somewhat arbitrary and is characterized by considerable differences of opinion. This report presents a decision table algorithm approach toward the development of an operational system for the identification of adverse drug reactions. The algorithm incorporates an estimate of the certainty of the link between the untoward clinical event and the suspect drug, and examines the underlying causes of the identified drug reactions. Use of such a system is a first step toward reducing ambiguity in the evaluation of adverse drug reactions.
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            Drug-Related Hospital Admissions

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              Adverse drug reactions in a hospital general medical unit meriting notification to the Committee on Safety of Medicines.

              1. We have retrospectively analysed data collected by a local adverse drug reactions reporting scheme in an acute hospital medical setting and have determined the numbers and types of reactions that would have merited notification as yellow card reports according to the guidelines of the Committee on Safety of Medicines. 2. The data related to 20,695 consecutive acute general medical admissions on seven general medical wards (140 beds) and were collected over 3 years, from April 1990 to March 1993. 3. Over 3 years there were 1420 reports of suspected adverse drug reactions, a rate of 68.7 per 1000 admissions. 4. If the guidelines for reporting issued by the Committee on Safety of Medicines had been strictly followed, 477 yellow cards would have been sent (23.1 per 1000 admissions). In 357 of these reports (74.8%), the reaction had caused admission to hospital. Only 31 of the 477 potential cards (6.5%) involved black triangle drugs and 10 of these were for minor reactions. 5. Only 30 of the 477 potential yellow cards (6.3%) were known to have been sent. The majority of those reactions not reported were for drug-related admissions, most of which were for well-known reactions to established drugs. 6. We have confirmed and quantified the extent of under-reporting of serious suspected adverse drug reactions to the Committee on Safety of Medicines from our hospital medical unit.
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                Author and article information

                Journal
                British Journal of Clinical Pharmacology
                British Journal of Clinical Pharmacology
                Wiley
                03065251
                13652125
                February 2000
                April 05 2002
                : 49
                : 2
                : 158-167
                Article
                10.1046/j.1365-2125.2000.00132.x
                2014906
                10671911
                2970a328-b7a6-4526-a761-b57863e659d8
                © 2002

                http://doi.wiley.com/10.1002/tdm_license_1.1

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