Antipsychotic drug-induced neutropenia: results from the AMSP drug surveillance program between 1993 and 2016.
Catherine GlockerR GrohmannGerrit BurkhardtCatharina MeissnerS BleichT HeldSermin TotoS StübnerC SchülePublished in: Journal of neural transmission (Vienna, Austria : 1996) (2023)
Neutropenia and agranulocytosis (N&A) are relatively rare, but potentially fatal adverse drug reactions (ADR). This study presents cases of N&A related to one or more antipsychotic drugs (APDs) in psychiatric inpatients. Data on APD utilization and reports of N&A caused by APDs were analyzed by using data from an observational pharmacovigilance program in German-speaking countries-Arzneimittelsicherheit in der Psychiatrie (AMSP)-from 1993 to 2016. 333,175 psychiatric inpatients were treated with APDs for schizophrenia and other indications during the observation period. A total of 124 cases of APD-induced N&A were documented, 48 of which fulfilled the criteria for agranulocytosis, corresponding to a rate of 0.37, respectively, 0.14 in 1000 inpatients treated with APDs. Neutropenia was more often detected in women, whereas there was no difference regarding sex in cases of agranulocytosis. Clozapine had the highest relative risk for inducing N&A and was imputed alone as a probable cause of N&A in 60 cases (1.57‰ of all patients exposed). Perazine showed the second highest relative risk with 8 cases and an incidence 0.52‰, followed by quetiapine (15 cases resp. 0.23‰ of all patients exposed) and olanzapine (7 cases; 0.13‰ of all patients exposed). N&A most often occurred during the first 3 months of treatment. Overall N&A are severe and potentially fatal complications that can occur during treatment with APDs. The results from this study largely agree with the currently available literature, highlighting the positive effects of alertness and established appropriate monitoring.
Keyphrases
- mental health
- drug induced
- adverse drug
- end stage renal disease
- liver injury
- newly diagnosed
- ejection fraction
- chronic kidney disease
- emergency department
- prognostic factors
- peritoneal dialysis
- public health
- electronic health record
- metabolic syndrome
- machine learning
- type diabetes
- pregnant women
- deep learning
- skeletal muscle
- quality improvement
- oxidative stress
- polycystic ovary syndrome
- high glucose
- diabetic rats
- replacement therapy