title: Grey dynamic model of predicting the long-term effects of drugs and its application to pirenzepine.
abstract: In an attempt to approach the quantification of the dynamics of drug effects and the prediction of the long-term effects of drugs, a grey dynamic model was proposed and it was applied to predict the long-term effects of pirenzepine on pupils and peripheral leukocytes in dogs. The inconsiderable relative errors between the predicted and observed values suggest that the model-based equations for pupil diameter, neutrophils (%) and lymphocytes (%) which, obtained by fitting the data measured before and during initial 16 wk experiment, are acceptable for predicting the effects after 20- and 24-wk treatment with the drug.
authors: Department of Pharmacology, Institute of Military Medical Sciences of Najing PLA, China.
authors: D Y
authors: DY
authors: Zhu
authors: S B
authors: SB
authors: Ding
authors: X Y
authors: XY
authors: Xu
mesh_terms: D000818:Animals; D004285:Dogs; D004361:Drug Tolerance; D007958:Leukocyte Count; D008214:Lymphocytes / Q000187:drug effects*; D008297:Male; D008954:Models, Biological; D009504:Neutrophils / Q000187:drug effects*; D010890:Pirenzepine / Q000009:adverse effects / Q000494:pharmacology*; D011680:Pupil / Q000187:drug effects*
chemical_list: D010890:Pirenzepine