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https://www.selleckchem.com/products/icg-001.html The use of acute and preventive treatment for migraine did not significantly differ between the CS and non-CS groups. Multivariable analysis identified the presence of RLS (AOR, 28.471; 95% CI 6.438-125.918; p < 0.001) and the BPI pain interference score (AOR, 1.398; 95% CI 1.061-1.843; p = 0.017) as the significant determinants of CS among migraine patients. Migraine patients were 3 times more likely to have CS than healthy controls. Our study results showed an association between RLS and CS in migraine patients. Migraine patients were 3 times more likely to have CS than healthy controls. Our study results showed an association between RLS and CS in migraine patients. The objective of this study was to compare the predictive performances of a glomerular filtration rate (GFR) model with a physiologically based pharmacokinetic (PBPK) model to predict total or renal clearance or area under the curve of renally excreted drugs in subjects with varying degrees of renal impairment. From the literature, 11 studies were randomly selected in which total or renal clearance or area under the curve of drugs in subjects with different degrees of renal impairment were predicted by PBPK models. In these published studies, drugs were given to subjects intravenously or orally. The PBPK model was generally a whole-body model whereas the GFR model was as follows Predicted total clearance (CL ) = CL in healthy subjects × (GFR in RI/GFR in H), Predicted AUC = AUC in healthy subjects × (GFR in H/GFR in RI), where H is the healthy subjects and RI is renal impairment. The predicted clearance or area under the curve values using PBPK and GFR models were compared with the observed (experimental pharmacokinetic) values. The acceptable prediction error was within the 0.5- to 2-fold or 0.5- to 1.5-fold prediction error. There were 33 drugs with a total number of 101 observations (area under the curve, total and renal clearance in subjects with m

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