PURPOSE: This study aimed to detect and characterize adverse drug reactions (ADRs) that occurred during hospitalization (ADRIn ) and ADRs associated with admission (ADRAd ) in Portugal from 2000 to 2009. We also intended to compare the results of this methodology with spontaneous reporting. METHODS: We conducted a nationwide study using a hospital administrative database that included all acute care public hospitalizations in Portugal, from 2000 to 2009. We used International Classification of Diseases-9(th) Revision-Clinical Modification coding data for the detection of ADRs. Codes searched included "E" codes (E930 to E949.9, codes that exclude poisonings and errors) and five groups of diagnoses codes associated with high prevalence of ADR as found in a previous study: hypoglycemia, drug-induced neutropenia, hepatitis unspecified, anaphylactic shock due to drugs, and shock due to anesthesia. RESULTS: From 9 271 122 hospitalizations within that period, 116 720 ADRs were detected through the database methodology, representing 1.26% from all hospitalizations. Of the ADRs, 97.3% occurred during hospitalization (ADRIn ), whereas 2.7% were associated with admission. Age, female sex, and comorbidities such as pneumonia, heart failure, diabetes, and malignancies were associated with ADRs (all with differences statistically significant). There were 13 562 spontaneous reports from 2000 to 2009. CONCLUSIONS: Several methods have been used for the detection of ADRs, but they are difficult to apply at a national level. Spontaneous reporting is widely used but grossly underestimates the frequency of ADRs. The database methodology can be very useful to estimate ADRs frequency and to perform a simple characterization of ADRs nationwide.
PURPOSE: This study aimed to detect and characterize adverse drug reactions (ADRs) that occurred during hospitalization (ADRIn ) and ADRs associated with admission (ADRAd ) in Portugal from 2000 to 2009. We also intended to compare the results of this methodology with spontaneous reporting. METHODS: We conducted a nationwide study using a hospital administrative database that included all acute care public hospitalizations in Portugal, from 2000 to 2009. We used International Classification of Diseases-9(th) Revision-Clinical Modification coding data for the detection of ADRs. Codes searched included "E" codes (E930 to E949.9, codes that exclude poisonings and errors) and five groups of diagnoses codes associated with high prevalence of ADR as found in a previous study: hypoglycemia, drug-induced neutropenia, hepatitisunspecified, anaphylactic shock due to drugs, and shock due to anesthesia. RESULTS: From 9 271 122 hospitalizations within that period, 116 720 ADRs were detected through the database methodology, representing 1.26% from all hospitalizations. Of the ADRs, 97.3% occurred during hospitalization (ADRIn ), whereas 2.7% were associated with admission. Age, female sex, and comorbidities such as pneumonia, heart failure, diabetes, and malignancies were associated with ADRs (all with differences statistically significant). There were 13 562 spontaneous reports from 2000 to 2009. CONCLUSIONS: Several methods have been used for the detection of ADRs, but they are difficult to apply at a national level. Spontaneous reporting is widely used but grossly underestimates the frequency of ADRs. The database methodology can be very useful to estimate ADRs frequency and to perform a simple characterization of ADRs nationwide.
Authors: Nibu Parameswaran Nair; Leanne Chalmers; Bonnie J Bereznicki; Colin Curtain; Gregory M Peterson; Michael Connolly; Luke R Bereznicki Journal: Drug Saf Date: 2017-07 Impact factor: 5.606
Authors: Kimberly G Blumenthal; Anna R Wolfson; Yu Li; Claire M Seguin; Neelam A Phadke; Aleena Banerji; Elizabeth Mort Journal: J Patient Saf Date: 2021-12-01 Impact factor: 2.844
Authors: Hugo Teixeira; Alberto Freitas; António Sarmento; Paulo Nossa; Hernâni Gonçalves; Maria de Fátima Pina Journal: Int J Environ Res Public Health Date: 2021-04-28 Impact factor: 3.390
Authors: P Carrasco-Garrido; V Hernández-Barrera; J Esteban-Hernández; I Jiménez-Trujillo; A Álvaro-Meca; A López de Andrés; J de Miguel Diez; J M Rodríguez Barrios; J A Muñoz Robles; R Jiménez-García Journal: BMJ Open Date: 2017-01-10 Impact factor: 2.692
Authors: Sue Jordan; Marie Gabe; Louise Newson; Sherrill Snelgrove; Gerwyn Panes; Aldo Picek; Ian T Russell; Michael Dennis Journal: ScientificWorldJournal Date: 2014-02-23