AIM: To evaluate the performance of a query on international classification of diseases 10(th) version (ICD10) codes in the database of the programme for the medicalisation of information systems (programme de médicalisation des systèmes d'information, PMSI) to identify serious adverse drug reactions (ADR). METHODS: The query concerned hospital stays of patients discharged from the French University Hospital of Rennes in 2009. All the hospitalization summaries including a selected ICD10 code were analysed to validate ADR. RESULTS: Out of 383 cases, 142 cases were validated (37.1%). Performance of some ICD10 codes was particularly interesting, above 40% (T88.6, L27.0, J70.4, G62.0 and N14.1) and 79.5% of the ADR were detected by these five codes. During the study period, 98 ADR of the same type were spontaneously reported by physicians, 22 of which were common with the ICD10 query. CONCLUSIONS: The use of PMSI can be a tool for signal detection of serious ADR, in addition to spontaneous reporting.
AIM: To evaluate the performance of a query on international classification of diseases 10(th) version (ICD10) codes in the database of the programme for the medicalisation of information systems (programme de médicalisation des systèmes d'information, PMSI) to identify serious adverse drug reactions (ADR). METHODS: The query concerned hospital stays of patients discharged from the French University Hospital of Rennes in 2009. All the hospitalization summaries including a selected ICD10 code were analysed to validate ADR. RESULTS: Out of 383 cases, 142 cases were validated (37.1%). Performance of some ICD10 codes was particularly interesting, above 40% (T88.6, L27.0, J70.4, G62.0 and N14.1) and 79.5% of the ADR were detected by these five codes. During the study period, 98 ADR of the same type were spontaneously reported by physicians, 22 of which were common with the ICD10 query. CONCLUSIONS: The use of PMSI can be a tool for signal detection of serious ADR, in addition to spontaneous reporting.