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1.
China Pharmacy ; (12): 1353-1356, 2018.
Article in Chinese | WPRIM | ID: wpr-704799

ABSTRACT

OBJECTIVE:To provide reference for optimizing gout drug therapy plan. METHODS:A total of 107 patients met gout clinical diagnosis criteria in the Affiliated Hospital of Putian University during Jul. 1st,2016- Jul. 1st,2017 were divided into group A and B according to carrying out HLA-B*58:01 gene detection or not. Group A was divided into positive and negative subgroup according to the results of gene detection. Positive subgroup was given febuxostat 40 mg,qd. Negative subgroup was given allopurinol 300 mg,tid with a treatment course for 2 weeks,the level of uric acid was detected after a treatment course;febuxostat was given instead if the level of uric acid was not up to the standard. Group B was given allopurinol;after a treatment course,the level of uric acid was detected;febuxostat was given instead (usage and dosage as group A) if the level of uric acid was not up to the standard. Both groups were treated for 6 months. The levels of uric acid were investigated in 2 groups before and after treatment so as to evaluate up-to-standard rate of treatment. European 5-D health scale of 2 groups were followed up with telephone to calculate therapeutic efficacy by QALY. Cost-effectiveness of 2 groups were calculated,and sensitivity analysis was conducted. RESULTS:Before treatment,there was no statistical significance in urine acid levels between 2 groups (P>0.05). After treatment,urine acid levels of 2 groups were significantly lower than before treatment with statistical significance(P<0.05). Therapeutic effectiveness was 0.818 QALY in group A and 0.808 QALY in group B,without statistical significance between 2 groups(P>0.05). The cost of group A was 3932.46 yuan,and that of group B was 2174.92 yuan. Cost-effectiveness ratio of 2 groups were 4807.41 and 2691.73,and group A was significantly higher than group B. The therapy plan of group B showed that cost-effectiveness advantage. Sensitivity analysis supported the results. There was no statistical significance in the incidence of ADR between 2 groups (P>0.05). CONCLUSIONS:It shows cost-effectiveness advantage to directly use allopurinol without gene detection in gout patients.

2.
Translational and Clinical Pharmacology ; : 63-66, 2017.
Article in English | WPRIM | ID: wpr-172330

ABSTRACT

Allopurinol-induced severe cutaneous adverse reactions (SCARs) such as Stevens-Johnson syndrome (SJS), toxic epidermal necrolysis (TEN), and drug reaction with eosinophilia and systemic symptoms (DRESS) syndrome are reportedly associated with the HLA-B*58:01 genotype. Three patients who developed SCARs after allopurinol administration were subjected to HLA-B genotyping and lymphocyte activation test (LAT) to evaluate genetic risk and to detect the causative agent, respectively. All three patients given allopurinol to treat gout were diagnosed with DRESS syndrome. Symptom onset commenced 7-24 days after drug exposure; the patients took allopurinol (100–200 mg/d) for 2-30 days. HLA-B genotyping was performed using a polymerase chain reaction (PCR)-sequence-based typing (SBT) method. All patients had a single HLA-B*58:01 allele: HLA-B*13:02/*58:01 (a 63-year-old male), HLA-B*48:01/*58:01 (a 71-year-old female), and HLA-B*44:03/*58:01 (a 22-year-old male). Only the last patient yielded a positive LAT result, confirming that allopurinol was the causative agent. These findings suggest that patients with HLA-B*58:01 may develop SCARs upon allopurinol administration. Therefore, HLA-B genotyping could be helpful in preventing serious problems attributable to allopurinol treatment, although PCR-SBT HLA-B genotyping is time consuming. A simple genotyping test is required in practice. LAT may help to identify a causative agent.


Subject(s)
Aged , Humans , Middle Aged , Young Adult , Alleles , Allopurinol , Cicatrix , Drug Hypersensitivity Syndrome , Genotype , Gout , HLA-B Antigens , Lymphocyte Activation , Lymphocytes , Methods , Polymerase Chain Reaction , Stevens-Johnson Syndrome
3.
Yonsei Medical Journal ; : 118-126, 2016.
Article in English | WPRIM | ID: wpr-186114

ABSTRACT

PURPOSE: Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN) are very serious forms of drug-induced cutaneous adverse reaction. SJS/TEN induced by certain drug is well known to be associated with some human leukocyte antigen (HLA) gene type. We aimed to explore HLA allele frequencies and their association with SJS/TEN according to culprit drugs in Korea. MATERIALS AND METHODS: We enrolled 5802 subjects who had results of HLA typing test from August 2005 to July 2014. Total 28 SJS/TEN patients were categorized based on culprit drugs (allopurinol, lamotrigine, carbamazepine) and identified the presence of HLA-B*58:01, HLA-B*44:03, HLA-B*15:02, and HLA-A*31:01. RESULTS: HLA-A*24:02 (20.5%), HLA-B*44:03 (10.0%), and HLA-Cw*01:02 (17.1%) were the most frequent type in HLA-A, -B, and -C genes, respectively. Allele frequencies of HLA-B*58:01, HLA-B*44:03, HLA-A*31:01, and HLA-B*15:02 were 7.0%, 10.0%, 5.0%, and 0.3%, respectively. In 958 allopurinol users, 9 subjects (0.9%) were diagnosed with SJS/TEN. Among them, 8 subjects possessed HLA-B*58:01 allele. SJS/TEN induced by allopurinol was more frequently developed in subjects with HLA-B*58:01 than in subjects without it [odds ratio: 57.4; confidence interval (CI) 7.12-463.50; p<0.001]. Allopurinol treatment, based on screening by HLA-B*58:01 genotyping, could be more cost-effective than that not based on screening. HLA-B*44:03 may be associated with lamotrigine-induced SJS/TEN (odds ratio: 12.75; CI 1.03-157.14; p=0.053). Among carbamazepine users, only two patients experienced SJS/TEN and possessed neither HLA-B*15:02 nor HLA-A*31:03. CONCLUSION: HLA gene frequencies varied in Korea. Screening of HLA-B*58:01 before the use of allopurinol might be needed to anticipate probability of SJS/TEN.


Subject(s)
Adult , Aged , Female , Humans , Male , Middle Aged , Alleles , Allopurinol/adverse effects , Anticonvulsants/adverse effects , Asian People/genetics , Carbamazepine/adverse effects , Case-Control Studies , Drug-Related Side Effects and Adverse Reactions/genetics , Gene Frequency , Genetic Predisposition to Disease , Genotype , HLA-B Antigens/genetics , Odds Ratio , Polymorphism, Single Nucleotide , Republic of Korea , Retrospective Studies , Risk Factors , Stevens-Johnson Syndrome/ethnology , Triazines/adverse effects
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