[Hospital admission due to adverse drug events (ADE): an analysis of German routine hospital data of 2006].
BACKGROUND
In developed countries 1-5% of all hospital admissions are due to adverse drug events (ADE). An ADE is defined as an injury resulting from medical intervention related to a drug. The established reporting systems and study designs only capture selective data. The objective of the current analysis was to evaluate the rate, distribution and correlations of ADE related admissions by using German routine data.


METHODS
ADEs were identified by an array of 502 specified codes of the ICD-10-GM. The evaluation included only verified codes and was carried out by remote queries of the German DRG-Statistics 2006. Hospital admission due to an ADE was identified via the primary diagnosis.


RESULTS
Of all hospital admissions 0.92% were revealed to be certainly caused by an adverse drug event. The average age between affected and non-affected was nearly identical for women 53.48 vs. 53.67 years, for men it was reduced by 4 years (48.38 years). The average hospital stay was lower for cases with an ADE, being reduced by 1.3 days for women (6.26 days vs. 7.55 days) and 1.5 days for men (5.91 days vs. 7.42 days). While mortality with an odds ratio (OR) of 0.59 (95% CI 0.57-0.62) was lower in ADE cases, the rate of emergency admissions due to ADE was increased, the OR being 3.10 (95% CI 3.07-3.13). The wards with excess rates of ADE cases were internal medicine, paediatrics, dermatology, intensive care and neurology.


CONCLUSIONS
Younger age, reduced hospital stay and lower mortality of ADE cases are contrary to findings in the relevant literature. The DRG-Statistics also comprise populations which often are excluded in established study designs, in particular, children and cases due to medication errors, overdose, poisoning and allergic reactions. As these cases respond easily to prevention and are of significant interest to pharmacovigilance, the use of routine data is valuable for more intense research of ADE.
Institut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie, Ludwig-Maximilians-Universität München, München.
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Amann
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Hasford
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Stausberg
D000328:Adult; D000368:Aged; D003430:Cross-Sectional Studies; D003627:Data Interpretation, Statistical; D003953:Diagnosis-Related Groups / Q000706:statistics & numerical data; D064420:Drug-Related Side Effects and Adverse Reactions / Q000453:epidemiology* / Q000401:mortality; D004636:Emergency Service, Hospital / Q000706:statistics & numerical data; D005260:Female; D005858:Germany; D006753:Hospital Records / Q000706:statistics & numerical data*; D006801:Humans; D038801:International Classification of Diseases; D007902:Length of Stay / Q000706:statistics & numerical data; D008297:Male; D008875:Middle Aged; D009313:National Health Programs / Q000706:statistics & numerical data*; D010343:Patient Admission / Q000706:statistics & numerical data*; D055553:Prescription Drugs / Q000009:adverse effects; D013223:Statistics as Topic; D014600:Utilization Review / Q000706:statistics & numerical data
D055553:Prescription Drugs