ABSTRACT
AIM: To investigate the effect of the polymorphism and metabolic type of cytochrome P450 (CYP) 2C19 gene on the inhibitory rate of platelet aggregation induced by ADP and relationship with resistance of clopidogrel. METHODS: A total of 163 patients that are administrated with aspirin and clopidogrel were collected from the Yijishan Hospital of Wannan Medical College from June 2016 to July 2017. The CYP2C19*2, *3 and *17 genotypes of patients were detected with fluorescence staining in situ hybridization, according to the genotype, CYP2C19 enzyme activity was divided into fast metabolic (RM), intermediate metabolic (IM), slow metabolic (PM) and ultrafast metabolic type (UM). After 5 days of drug delivery, the platelet aggregation inhibition rate (IPAADP) induced by ADP was detected by thrombus elasto graph. IPAADP differences between CYP2C19*2, *3 and *17 genotype and CYP2C19 enzyme metabolic type were evaluated. CYP2C19 genotype and metabolic type as well as their distribution in clopidogrel resistance group (CR) and non clopidogrel resistance group (NCR) were observed. RESULTS: The mutation rates of CYP2C19*2, *3 and *17 were 30.98%, 6.75% and 1.23%, respectively. The average IPAADP was (67.03±26.79)% and the incidence of CR was 26.99%, and the IPAADP was (31.29±12.60)%. The IPAADP of CYP2C19*2 and *3 gene carriers were decreased significantly (P0.05). There was no statistical difference in the distribution of CYP2C19 genotypes and metabolic types in NCR and CR (P>0.05). CONCLUSION: CYP2C19 genotypes have significant effect on IPAADP, but there is no association with the occurrence of CR, and the related study needs to be further verified.
ABSTRACT
Based on the pharmacogenomics theory, this study developed a software system for interpretation of drug gene loci and guidance on clinical safe medication with the purpose of providing clinical guidance on the safety and effectiveness of drug use through accurate and efficient detection and interpretation of drug gene loci. The system infrastructure was built on a service-oriented architecture (SOA) design and Docker container virtualization approach to achieve a rapid and automatic interpretation of genetic results and best available drugs. The front end was established on HTML5 and JavaScript to realize visualization of analysis results and user interaction. The system was tested and validated to show robust performance which is reliable in clinical use. It will show high impact on the development of pharmacogenomics and clinical practice of patients with personalized medicine.
Subject(s)
Humans , Pharmacogenetics , Precision Medicine , SoftwareABSTRACT
Objective To explore the effect of the procedural nursing management on nursing quality of hospitalized patients in department of rheumatology. Methods About 267 inpatients were divided into control group (n=125) and experiment group (n=142). The control group received routine medication nursing and the experiment patients were treated with procedural nursing management including implementing medication services and analyzing the factors influencing precise medication and the countermeasures . Result The rate of precise medication in the experiment group was significantly higher than that of the control group ( P<0 . 05 ) . Conclusions The procedural nursing management can promote patient's precise medication so as to ensure the therapeutic effect by medication . It does good for the promotion of medication scientizeation and professionalization .