ArticleClinical drug investigation2018
Identification of Somatic Disorders Related to Psychoactive Drug Use from an Inpatient Database in a French University Hospital.
Article in Clinical drug investigation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
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2 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.
- Cannabinoid-Related Acute Pancreatitis: An Update from International Literature and Individual Case Safety Reports.Drug safety · 2022Pooled it
- Ten-year trends in hospitalizations related to cocaine abuse in France.Fundamental & clinical pharmacology · 2022Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
objectiveStudies have explored hospital records to identify serious complications related to use of psychoactive drugs, but this approach is time consuming with a high rate of false positives. We propose a method to improve the detection of these somatic complications from an inpatient database.
methodsHospitalisations in Toulouse University Hospital (France) between 1 July and 31 December 2013 with at least one International Classification of Diseases, Tenth Edition (ICD-10) code related to possible abuse/addiction (F11-F19: "mental and behavioural disorder due to psychoactive substance use", T40-T43: "poisoning", or X61-X62: "self-poisoning") and at least another ICD-10 code unrelated to abuse/addiction were extracted. Hospital discharge summaries (HDS) were reviewed using two strategies: in Strategy 1, all HDS were reviewed, whereas in Strategy 2, associated ICD-10 codes unrelated to abuse/addiction were firstly assessed to preselect some HDS. Positive predictive values (PPVs) were calculated to evaluate their performance.
resultsWith Strategy 1, we found 58 psychoactive drug-related somatic complications among the 578 hospitalisations extracted (PPV = 10.0%), including three cases spontaneously reported to the French Addictovigilance Network. Strategy 2 retained 94.8% of the hospitalisations identified with Strategy 1, while the number of reviewed HDS was reduced by half (PPV = 20.1%). Cannabis (56.9%), cocaine (27.6%) and prescription opioids (22.4%) were mainly involved. Complications mainly corresponded to nervous (25.9%) and respiratory and circulatory (22.4%) system disorders.
conclusionsCombining extraction of ICD-10 codes and a focused review of a preselection of relevant hospitalisations appears to be efficient and time-saving. This method should be applied in other hospital settings before considering the exploration of inpatient data on a wider scale.
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