Pharmacogenetic factors included 5 gene polymorphisms within the MTX pathway

genes, namely, SLC19A1, MTHFR, ABCC2 and ABCG2. Short duration of pre-hydration before HD-MTX is the most important risk factor for prolonged high MTX concentration (p < 0.001, OR 6.40, 95 % CI 2.39-17.16) and renal dysfunction (p = 0.013, OR 3.15, 95 % CI 1.27-7.80). The T allele at MTHFR C677T was the risk factor for prolonged high MTX concentration (p = 0.009, OR 5.54, 95 % CI 1.54-19.85), but not for renal dysfunction. We found the influence of MTHFR C677T polymorphism on prolonged high MTX concentration. We reconfirmed the importance of adequate pre-hydration before HD-MTX to prevent prolonged high MTX concentration and MTX-related renal dysfunction.”
“Clinical decision support software (CDSS) solutions can automatically identify drug interactions and thereby aim to improve Nutlin3a drug safety. However, data on the comparative performance of different

CDSS to detect and appropriately classify interactions in real-life prescription datasets is limited.\n\nThe aim of this study was to compare the results from two different CDSS analysing the pharmacotherapy of a large population of psychiatric inpatients for drug interactions.\n\nWe performed mass analyses of cross-sectional patient-level prescriptions from 84,625 psychiatric inpatients using two CDSS – MediQ and ID PHARMA CHECKA (R). Interactions with the highest risk ratings Stem Cell Compound Library concentration and the most HSP inhibitor drugs frequent ratings were reclassified according to the Zurich Interaction System (ZHIAS), a multidimensional classification that incorporates the OpeRational ClassificAtion of Drug Interactions (ORCA) and served as a reference standard.\n\nMediQ reported 6,133 unique interacting combinations responsible for 270,617 alerts affecting 63,454 patients. ID PHARMA CHECKA (R) issued 5,400 interactions and 157,489 alerts in 48,302 patients. Only 2,154 unique interactions were identified by both programmes, but overlap increased

with higher risk rating. MediQ reported high-risk interactions in 2.5 % of all patients, compared with 5 % according to ID PHARMA CHECKA (R). The positive predictive value for unique major alerts to be (provisionally) contraindicated according to ORCA was higher for MediQ (0.63) than for either of the two ID PHARMA CHECKA (R) components (0.42 for hospINDEX and 0.30 for ID MACS). MediQ reported more interactions, and ID PHARMA CHECKA (R) tended to classify interactions into a higher risk class, but overall both programmes identified a similar number of (provisionally) contraindicated interactions according to ORCA criteria. Both programmes identified arrhythmia as the most frequent specific risk associated with interactions in psychiatric patients.\n\nCDSS can be used for mass-analysis of prescription data and thereby support quality management.