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

Identifieur interne : 000178 ( Pmc/Curation ); précédent : 000177; suivant : 000179

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

Auteurs : Karin Fattinger [Suisse] ; Malgorzata Roos ; Patrice Vergères [Suisse] ; Clemens Holenstein [Suisse] ; Brigitt Kind [Suisse] ; Urspeter Masche [Suisse] ; David N. Stocker [Suisse] ; Suzanne Braunschweig [Suisse] ; Gerd A. Kullak-Ublick [Suisse] ; Renato L. Galeazzi [Suisse] ; Ferenc Follath [Suisse] ; Theo Gasser ; Peter J. Meier [Suisse]

Source :

RBID : PMC:2014906

Abstract

Aims

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.

Methods

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.

Results

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.

Conclusions

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.


Url:
DOI: 10.1046/j.1365-2125.2000.00132.x
PubMed: 10671911
PubMed Central: 2014906

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PMC:2014906

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<title>Aims</title>
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</sec>
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<title>Methods</title>
<p>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.</p>
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<p>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 (Q
<sub>1</sub>
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<sub>3</sub>
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<sec>
<title>Conclusions</title>
<p>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.</p>
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<article-title>Epidemiology of drug exposure and adverse drug reactions in two Swiss departments of internal medicine</article-title>
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<name>
<surname>Fattinger</surname>
<given-names>Karin</given-names>
</name>
<xref ref-type="aff" rid="au1">1</xref>
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<contrib contrib-type="author">
<name>
<surname>Roos</surname>
<given-names>Malgorzata</given-names>
</name>
<xref ref-type="aff" rid="au2">2</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Vergères</surname>
<given-names>Patrice</given-names>
</name>
<xref ref-type="aff" rid="au3">3</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Holenstein</surname>
<given-names>Clemens</given-names>
</name>
<xref ref-type="aff" rid="au3">3</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kind</surname>
<given-names>Brigitt</given-names>
</name>
<xref ref-type="aff" rid="au1">1</xref>
<xref ref-type="aff" rid="au3">3</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Masche</surname>
<given-names>Urspeter</given-names>
</name>
<xref ref-type="aff" rid="au1">1</xref>
<xref ref-type="aff" rid="au3">3</xref>
</contrib>
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<name>
<surname>Stocker</surname>
<given-names>David N</given-names>
</name>
<xref ref-type="aff" rid="au1">1</xref>
<xref ref-type="aff" rid="au3">3</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Braunschweig</surname>
<given-names>Suzanne</given-names>
</name>
<xref ref-type="aff" rid="au3">3</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kullak-Ublick</surname>
<given-names>Gerd A</given-names>
</name>
<xref ref-type="aff" rid="au1">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Galeazzi</surname>
<given-names>Renato L</given-names>
</name>
<xref ref-type="aff" rid="au4">4</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Follath</surname>
<given-names>Ferenc</given-names>
</name>
<xref ref-type="aff" rid="au5">5</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Gasser</surname>
<given-names>Theo</given-names>
</name>
<xref ref-type="aff" rid="au2">2</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Meier</surname>
<given-names>Peter J</given-names>
</name>
<xref ref-type="aff" rid="au1">1</xref>
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<aff id="au1">
<label>1</label>
<institution>Division of Clinical Pharmacology and Toxicology, Department of Internal Medicine, University Hospital</institution>
<addr-line>Zurich, Switzerland</addr-line>
</aff>
<aff id="au2">
<label>2</label>
<institution>Biostatistics, ISPM, University of Zurich</institution>
<addr-line>Switzerland</addr-line>
</aff>
<aff id="au3">
<label>3</label>
<institution>Foundation for Drug Safety and Comprehensive Hospital Drug Monitoring, University Hospital</institution>
<addr-line>Zurich, Switzerland</addr-line>
</aff>
<aff id="au4">
<label>4</label>
<institution>Department of Internal Medicine, Kantonsspital</institution>
<addr-line>St Gallen, Switzerland</addr-line>
</aff>
<aff id="au5">
<label>5</label>
<institution>Department of Internal Medicine, University Hospital</institution>
<addr-line>Zurich, Switzerland</addr-line>
</aff>
</contrib-group>
<author-notes>
<corresp id="cor1">Correspondence: Dr Karin Fattinger, Division of Clinical Pharmacology and Toxicology, Department of Medicine, University Hospital, Rämistrasse 100, 8091 Zürich, Switzerland. Tel.: 41-1-255 20 67, Fax: 41-1-255 44 11, E-mail:
<email>fattinge@kpt.unizh.ch.</email>
</corresp>
</author-notes>
<pub-date pub-type="ppub">
<month>2</month>
<year>2000</year>
</pub-date>
<volume>49</volume>
<issue>2</issue>
<fpage>158</fpage>
<lpage>167</lpage>
<history>
<date date-type="received">
<day>07</day>
<month>9</month>
<year>1998</year>
</date>
<date date-type="accepted">
<day>05</day>
<month>11</month>
<year>1999</year>
</date>
</history>
<copyright-statement>© 2000 Blackwell Science Ltd</copyright-statement>
<copyright-year>2000</copyright-year>
<abstract>
<sec>
<title>Aims</title>
<p>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.</p>
</sec>
<sec sec-type="methods">
<title>Methods</title>
<p>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.</p>
</sec>
<sec>
<title>Results</title>
<p>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 (Q
<sub>1</sub>
) and 9 (Q
<sub>3</sub>
) 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.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>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.</p>
</sec>
</abstract>
<kwd-group>
<kwd>adverse drug reactions</kwd>
<kwd>event monitoring</kwd>
<kwd>hospital pharmacoepidemiology</kwd>
<kwd>inpatients</kwd>
<kwd>medication usage</kwd>
</kwd-group>
</article-meta>
</front>
</pmc>
</record>

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