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Agranulocytosis is a potentially lethal adverse drug reaction of dipyrone (metamizole). According to case-control studies, the frequency is low, approximately one per million users. The aim of the study was to describe the pattern of blood dyscrasias associated with dipyrone, identify possible risk factors and calculate the incidence of agranulocytosis associated with dipyrone. All spontaneous reports of serious blood dyscrasias associated with dipyrone in Sweden were reviewed. The reports were scrutinised for additional information, including bone marrow findings. The reported incidence of agranulocytosis was estimated from total prescription sales of dipyrone. The reported incidence of agranulocytosis with dipyrone in Sweden was estimated to be at least 1:1439 (95% confidence interval 1:850, 1:4684) prescriptions. Ninety-two percent of the cases of blood dyscrasias occurred during the first 2 months of treatment. Additional risk factors were identified in 36% of the patients. In a total of five cases of which four were fatal, all three haematopoieses were affected according to bone marrow sample findings. Among the fatal cases, a higher proportion had bi- or tricytopenia than among the non-fatal cases ( P<0.005). Based on sales data and spontaneous reporting of adverse drug reactions in Sweden, the risk of agranulocytosis with dipyrone seems to be considerably higher than the previously estimated risks. Dipyrone is also associated with other blood dyscrasias, and the prognosis for combined dyscrasias seems to be poorer than for isolated agranulocytosis.
Prediction of the exposure of neonates, infants and children to xenobiotics is likely to be more successful using physiologically based pharmacokinetic models than simplistic allometric scaling, particularly in younger children. However, such models require comprehensive information on the ontogeny of anatomical, physiological and biochemical variables; data that are not available from single sources. The Simcyp software integrates demographic, genetic, physiological and pathological information on adults with in vitro data on human drug metabolism and transport to predict population distributions of drug clearance (CL) and the extent of metabolic drug-drug interactions. The algorithms have now been extended to predict clearance and its variability in paediatric populations by incorporating information on developmental physiology and the ontogeny of specific cytochrome P450s. Values of the clearance (median and variability) of 11 drugs (midazolam [oral and intravenous], caffeine, carbamazepine, cisapride, theophylline, diclofenac, omeprazole, S-warfarin, phenytoin, gentamicin and vancomycin) were predicted for 2,000 virtual subjects (birth to 18 years). In vitro enzyme pharmacokinetic parameters (maximum rate of metabolism [Vmax] and Michaelis-Menten constant [Km]) and in vivo clearance data were obtained from the literature. In neonates 70% (7/10) of predicted median clearance values were within 2-fold of the observed values. Corresponding results for infants, children and adolescents were 100% (9/9), 89% (17/19) and 94% (17/18), respectively. Predicted variability (95% confidence interval) was within 2-fold of the observed values in 70% (7/10), 67% (6/9), 63% (12/19) and 55% (10/18) of cases, respectively. The accuracy of the physiologically based model incorporated in the Simcyp software was superior to that of simple allometry, especially in children <2 years old. The in silico prediction of pharmacokinetic behaviour in paediatric patients is not intended to replace clinical studies. However, it provides a valuable aid to decision-making with regard to first-time dosing in children and study design. The clinical study then becomes 'confirmatory' rather than 'exploratory'.
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