Abstract
Objective To evaluate the use of prospective screening for the HLA-B*58:01 allele to identify Taiwanese individuals at risk of severe cutaneous adverse reactions (SCARs) induced by allopurinol treatment.
Design National prospective cohort study.
Setting 15 medical centres in different regions of Taiwan, from July 2009 to August 2014.
Participants 2926 people who had an indication for allopurinol treatment but had not taken allopurinol previously. Participants were excluded if they had undergone a bone marrow transplant, were not of Han Chinese descent, and had a history of allopurinol induced hypersensitivity. DNA purified from 2910 participants’ peripheral blood was used to assess the presence of HLA-B*58:01.
Main outcome measures Incidence of allopurinol induced SCARs with and without screening.
Results Participants who tested positive for HLA-B*58:01 (19.6%, n=571) were advised to avoid allopurinol, and were referred to an alternate drug treatment or advised to continue with their prestudy treatment. Participants who tested negative (80.4%, n=2339) were given allopurinol. Participants were interviewed once a week for two months to monitor symptoms. The historical incidence of allopurinol induced SCARs, estimated by the National Health Insurance research database of Taiwan, was used for comparison. Mild, transient rash without blisters developed in 97 (3%) participants during follow-up. None of the participants was admitted to hospital owing to adverse drug reactions. SCARs did not develop in any of the participants receiving allopurinol who screened negative for HLA-B*58:01. By contrast, seven cases of SCARs were expected, based on the estimated historical incidence of allopurinol induced SCARs nationwide (0.30% per year, 95% confidence interval 0.28% to 0.31%; P=0.0026; two side one sample binomial test).
Conclusions Prospective screening of the HLA-B*58:01 allele, coupled with an alternative drug treatment for carriers, significantly decreased the incidence of allopurinol induced SCARs in Taiwanese medical centres.
Introduction
The development of a reliable pharmacogenomic approach to prevent adverse reactions with severe complications is a major goal of personalised medicine.1 2 3 Severe cutaneous adverse reactions (SCARs) constitute a set of life threatening conditions that include drug rash with eosinophilia and systemic symptoms, Stevens-Johnson syndrome, and toxic epidermal necrolysis,4 with the lethality rate of toxic epidermal necrolysis at up to 35%. SCARs are often caused by drugs but may not be accurately predicted based on the pharmacological action of a particular drug.5 SCARs are associated with chemotoxic and T cell mediated inflammatory injuries, and can be characterised by a severe idiosyncratic reaction in skin, blistering exanthema of macular papules, or mucosal involvement.6
Allopurinol, a first line prescription drug for gout and hyperuricaemia,7 8 9 10 is one of the most common causes of SCARs in Asia and Europe.11 12 13 Throughout 2012, the literature reported about 1000 people who had allopurinol induced SCARs; these patients represented multiple ethnic origins and geographical regions.12 Although allopurinol has SCAR related risks and other drug treatments for gout are available, allopurinol is still a common treatment for gout and hyperuricaemia owing to its relative low cost, efficacy, and convenience.
We have reported previously that allopurinol induced SCARs correlate strongly with the allele human leukocyte antigen (HLA)-B*58:01 in Han Chinese populations.14 This finding has been confirmed in Han Chinese people from Hong Kong and mainland China, and in Japanese, Korean, Thai, and other Asian populations as well as European populations.15 16 17 18 19 20 21 Among people of Han Chinese descent, allopurinol induced SCARs almost never occur in non-carriers of HLA-B*58:01, strongly suggesting that this allele is involved directly in the pathogenesis of SCARs. In addition, HLA-B*58:01 can present the allopurinol metabolite, oxypurinol, directly to cytotoxic T cells without antigen processing.22 23 24 More importantly, T cell mediated cytotoxicity related to allopurinol or oxypurinol is restricted to carriers of HLA-B*58:01.23 24
Based on our previous findings,14 Han Chinese people who carry HLA-B*58:01 have a much higher risk of developing allopurinol induced SCARs than those who do not carry the allele (odds ratio 580.3; 95% confidence interval 34.4 to 9780.9; P<0.001). Therefore, if this allele was to be used as a marker to predict allopurinol induced SCARs, the test would have high sensitivity (100.0%) and specificity (85.2%).14 Based on a predicted incidence of allopurinol induced SCARs of 0.30% per year (95% confidence interval 0.28% to 0.31%), HLA-B*58:01 would have a negative predictive value of 100.0% and a positive predictive value of 2.0%. Thus, the 100% negative predictive value could warrant the use of HLA-B*58:01 genotyping to prevent allopurinol induced SCARs in routine clinical practice. We therefore sought to determine whether prospective screening via HLA-B*58:01 genotyping before allopurinol treatment could reduce the incidence of allopurinol induced SCARs.
Methods
Study design
Owing to the tight association between HLA-B*58:01 and life threatening SCARs induced by allopurinol, this study was approved by our institutional review board as a non-randomised study, using historical incidence as a control. We recruited patients from 15 participating hospitals throughout Taiwan (see author affiliations and web appendix). There were nine points of interaction with patients who did not have the HLA-B*58:01 allele and 10 points of interaction with HLA-B*58:01 carriers: the initial screening visit, a second clinic visit for HLA-B*58:01 carriers, and weekly telephone interviews for both groups during the two month follow-up. Recruited patients were aged between 6 months and 99 years, and had not previously taken allopurinol within three months. In accordance with clinical indications at the time of screening, these patients would have received allopurinol and thus were invited to participate in the study. The efficacy of all treatments to reduce levels of uric acid was evaluated on the basis of the guideline for gout management.8 9 10
We excluded patients who had undergone a bone marrow transplant, were not of Han Chinese descent, and had a history of allopurinol induced hypersensitivity. Han Chinese descent was confirmed via a multiple choice questionnaire that asked patients to report the ethnic origin of both parents and grandparents.
We prescribed and dispensed allopurinol to all participants at the initial screen, but we asked that each person defer taking allopurinol until the HLA-B*58:01 genotyping results were finalised. Blood samples were collected and transferred to our central laboratory for HLA-B*58:01 genotyping. We reported the genotyping results to the participating physicians within three days.
Patients who tested positive for HLA-B*58:01 were asked to return to their respective hospitals within three days. We then explained their risk of allopurinol induced SCARs and recommended that they take alternative medicine. Those who tested negative for HLA B*58:01 (and who also were counselled about SCARs risk) were started on allopurinol treatment. In our previous large scale retrospective study,14 all patients developed SCARs during the study period within two months of starting allopurinol treatment, which was in agreement with what has been reported consistently in the literature.25 We therefore interviewed all participants by telephone during the two month period following initial screening (for HLA-B*58:01 negative patients) or after the second clinic visit (for HLA-B*58:01 positive patients) to monitor for symptoms of adverse drug reactions, including SCARs. If early symptoms of SCARs developed, a participant was asked to return to the clinic immediately for dermatological evaluation. We monitored all patients throughout the study’s duration, apart from those who had a protocol violation or were lost during follow-up.
The study was performed in accordance with Good Clinical Practice Standards and the provisions of the Declaration of Helsinki. The research ethics committee at Academia Sinica in Taipei and the institutional review board at each participating clinic approved the study. We obtained written informed consent from all participants or from parents or guardians for participants aged 21 years or younger.
Genotyping of HLA-B*58:01
Whole blood (2 mL) was collected from each participant in a Monovette tube and stored at 4-12°C, and each sample was sent to the central lab on the day obtained. We isolated genomic DNA with the QIAamp DNA purification system (Qiagen). The presence or absence of HLA-B*58:01 was determined by the PG5801 DNA detection kit (Pharmigene). The kits are based on a real time polymerase chain reaction with sequence specific primers for HLA-B*58:01. To confirm the genotyping results, the first 900 samples were also examined in parallel with a reverse line blot using an HLA sequence oligonucleotide (Dynal Biotech); the results were consistent in each sample.
Annual incidence
We diagnosed SCARs using code 695.1 in both ICD-9 (international classification of diseases, 9th revision) and ICD-9-CM (clinical modification), which are commonly used in studies of adverse drug reactions.26 27 The ICD-9-CM 695.1 code covers all SCARs, including drug rash with eosinophilia and systemic symptoms, Stevens-Johnson syndrome, and toxic epidermal necrolysis. The number of participants with this code was determined from the National Health Insurance research database, as provided by the National Health Insurance administration of Taiwan.
The National Health Insurance research database is reliable and applies to nationwide studies in Taiwan,28 29 30 and was established by the Taiwanese government when the National Health Insurance system was launched in 1995. The database is a single payer health insurance plan managed by the Taiwanese government, and provides healthcare for nearly all the Taiwanese population (enrolment was 99.5% in 2008). More than 92% of Taiwanese healthcare facilities have been contracted by the National Health Insurance system. Data obtained from the National Health Insurance research database are therefore comprehensive.
We estimated the annual incidence of allopurinol induced SCARs in Taiwan as the annual number of SCARs cases caused by allopurinol divided by the annual number of new allopurinol users. In 2005, we published an article stating the potential of HLA-B*58:01 as a biomarker for preventing allopurinol-induced SCARs.14 After this, some physicians began to genotype HLA-B region before allopurinol treatment. This measure could confound our analysis. Therefore, to obtain a suitable control group, we adopted the most recent, non-confounded data (that is, 2001-04 data) from the National Health Insurance research database.
Statistical analysis
The prevalence of the HLA-B*58:01 allele in the Han Chinese population residing in Taiwan has been calculated to be 20%.31 Therefore, 2169 people would provide a power of 86% (using the two sided, one sample binomial test) to detect a reduction in the incidence of allopurinol induced SCARs from 0.30% per year (95% confidence interval 0.28% to 0.31%; that is, 30 cases per 10 000 new recipients) to 0.03%. We used the two sided, one sample binomial test to compare the rate of allopurinol induced SCARs in the prospective screening population with historical incidence. All P values are two tailed, and P<0.05 was considered to be significant.
Patient involvement
No patients were involved in setting the research question or the outcome measures, nor were they involved in the design and implementation of the study. There are no plans to involve patients in dissemination.
Results
Participants
From July 2009 to August 2014, we enrolled 2926 participants, of whom 2910 underwent genotyping and were included in the two month follow-up (fig). Male and female patients accounted for 83% and 17% of the total group, respectively, with mean age 54.9 years (range 14-99; table 1). Indications for allopurinol treatment included chronic tophaceous gout (35%), hyperuricaemia (24%), chronic tophaceous gout plus hyperuricaemia (16%), chronic tophaceous gout plus other conditions (7%), and other conditions (17%; table 1).
Enrolment and outcomes. Allopurinol was prescribed and provided for all participants at the time of the screening visit, but they were asked to defer taking the drug until the results of genetic testing were available. All participants, regardless of allele status, were followed for three months, with weekly telephone interviews
Table 1.
Participant characteristics
Characteristic | Presence of HLA-B*58:01 allele | P* | Total (n=2910) | |
---|---|---|---|---|
Positive (n=571) | Negative (n=2339) | |||
Sex (No (%)) | ||||
Male | 460 (80.6) | 1950 (83.4) | 0.11 | 2410 (82.8) |
Female | 111 (19.4) | 389 (16.6) | 0.11 | 500 (17.2) |
Age (years) | ||||
Mean (range) | 54.8 (19-99) | 54.9 (14-95) | 0.86 | 54.9 (14-99) |
Kidney function (No)† | ||||
Renal insufficiency | 120 | 444 | 0.27 | 564 |
Indication for allopurinol (No (%)) | ||||
Chronic tophaceous gout | 204 (35.7) | 820 (35.1) | 0.76 | 1024 (35.2) |
Hyperuricaemia | 141 (24.7) | 555 (23.7) | 0.63 | 696 (23.9) |
Chronic tophaceous gout plus hyperuricaemia | 97 (17.0) | 371 (15.9) | 0.51 | 468 (16.1) |
Chronic tophaceous gout plus other | 43 (7.5) | 173 (7.4) | 0.91 | 216 (7.4) |
Other conditions‡ | 86 (15.1) | 420 (18.0) | 0.10 | 506 (17.4) |
*Comparison of clinical characteristics between HLA-B*58:01 positive and negative participants.
†Renal insufficiency was defined as greater than 1.3 mg/dL of serum creatinine.
‡Including urate nephropathy, prevention of recurrent nephrolithiasis, and prevention of recurrent calcium oxalate stones.
HLA-B*58:01 screening
Of the 2910 enrolled participants, 571 (20%) were identified as carrying the HLA-B*58:01 allele and were counselled not to take allopurinol; these patients were prescribed alternative drugs or counselled to continue taking their medication before the study. Of these participants, we monitored for adverse events and found that two were lost during follow-up, 354 took an alternative drug treatment, and 215 took their prestudy medication (fig). Alternative drug treatments were benzbromarone, bisoprolol fumarate, bromhexine hydrochloride, brompheniramine, colchicine, febuxostat, hydroxychloroquine, sulfasalazine, sulfonylurea, and sulfinpyrazone (web table). Of the remaining 2339 (80%) participants who did not have the HLA-B*58:01 allele, 155 did not take allopurinol and 11 were lost during follow-up. This left 2173 participants who took allopurinol and were monitored (fig).
Adverse events
Of 2910 participants, 97 (3%) developed mild and transient rash and itching, but none had a combination of rash, itching, and localised blisters (table 2). Of those with rash or itching, three participants were found to carry HLA-B*58:01 and presented with symptoms after taking alternative medicine (benzbromarone; table 2). None of the participants was diagnosed with SCARs, as defined by the RegiSCAR Group (main characteristics included multisystemic involvement and frequent eosinophilia). Other adverse events were fever, sore throat, fatigue, dizziness, insomnia, and gastrointestinal symptoms. These adverse events were found in both HLA-B*58:01 positive and negative participants. There was no significant correlation between specific symptoms and HLA-B*58:01 status (table 2).
Table 2.
Adverse events during two month follow-up
Adverse event | HLA-B*58:01 positive participants receiving alternative drug treatment (n=354) | HLA-B*58:01 negative participants receiving allopurinol (n=2173) | Total (n=2910) |
---|---|---|---|
Mild cutaneous events | |||
Rash and itching | 3* | 94 | 97 |
Blisters | 0 | 0 | 0 |
Oral ulcers | 0 | 2 | 2 |
Rash, itching, oral ulcers, and fever | 0 | 1 | 1 |
Rash, itching, and other adverse events | 0 | 22 | 22 |
Severe cutaneous events | |||
Drug reaction with eosinophilia and systemic symptoms | 0 | 0 | 0 |
Urticaria | 0 | 0 | 0 |
Stevens-Johnson syndrome or toxic epidermal necrolysis | 0 | 0 | 0 |
Other adverse events† | |||
Fever | 0 | 1 | 1 |
Sore throat | 0 | 2 | 2 |
Fatigue | 0 | 5 | 5 |
Other | 20 | 117 | 137 |
Data are no of participants having adverse events.
*All three participants took benzbromarone.
†Each participant may have had more than one adverse event. Adverse events with a low frequency are not listed.
Estimates of expected historical incidence of SCARs
Records from the National Health Insurance research database revealed that allopurinol was prescribed for at least three months for 137 380 people in 2001, 117 896 in 2002, 107 873 in 2003, and 102 060 in 2004 who had not previously taken allopurinol—dating back to at least the beginning of the previous calendar year (table 3). We then compared historical incidence of allopurinol induced SCARs in 2001, 2002, 2003, and 2004 with the incidence seen in study participants. Our estimated incidence of SCARs among allopurinol users in 2001, 2002, 2003, and 2004 in Taiwan were therefore 0.32%, 0.30%, 0.28%, and 0.29%, for each year in 2001-04, respectively. The mean estimated incidence (0.30% per year, 95% confidence interval 0.28% to 0.31%) was used as the historical incidence for further analysis.
Table 3.
Historical incidence of allopurinol induced SCARs in 2001-04, compared with incidence among study participants
Variable | Year | |||
---|---|---|---|---|
2001 | 2002 | 2003 | 2004 | |
No of new recipients of allopurinol | 137 380 | 117 896 | 107 873 | 102 060 |
No of participants with allopurinol induced SCARs | 438 | 348 | 307 | 295 |
Incidence (%) of allopurinol induced SCARs (95% CI) | 0.32% (0.29% to 0.35%) | 0.30% (0.27% to 0.33%) | 0.28% (0.25% to 0.32%) | 0.29% (0.26% to 0.32%) |
P value comparing historical incidence and actual incidence among study participants* | 0.0018 | 0.0026 | 0.0038 | 0.0040 |
SCARs=severe cutaneous adverse reactions.
*P values calculated by the two side, one sample binomial test.
Incidence of SCARs after genetic screening
Based on the estimated historical incidence of 0.30% per year, we expected seven cases of drug rash with eosinophilia and systemic symptoms, Stevens-Johnson syndrome, and toxic epidermal necrolysis among the 2173 participants in our study who took allopurinol. However, none of these disorders was found for any of the participants, which differed significantly from the historical incidence (P=0.0026, using the two side, one sample binomial test; table 3).
Discussion
Principal findings
Our results indicate that screening Han Chinese patients for HLA-B*58:01 allele before initiating allopurinol treatment, and then withholding allopurinol from those who carry the allele would likely reduce the incidence of allopurinol induced SCARs. In the present study, adverse cutaneous reactions (including oral lesions and rash) that developed in the participants were mild, transient, and localised. In addition, under continuous and systematic monitoring of dermatological symptoms, many HLA-B*58:01 negative patients with transient and mild skin lesions resumed taking allopurinol without a recurrence of symptoms.
We did not identify any participants with SCARs, which indicates that the incidence of allopurinol induced SCARs in HLA-B*58:01 negative patients is quite low. So far, all study participants have been followed up for at least nine months, and no cases of SCARs have been reported. Hence, in this cohort, the incidence of SCARs at two month follow-up is the same as the incidence after nine months. Moreover, we attempted to identify SCARs in our prospective cohort by searching Taiwan’s National Health Insurance research database using the unique identification numbers of individual Taiwanese patients; no SCARs were identified by this approach. Therefore, occurrence of allopurinol induced SCARs could be successfully prevented by the use of a genetic screening protocol.
Our results lend support to the use of HLA-B*58:01 screening to prevent allopurinol induced SCARs.32 However, as for any new pharmacogenomic test, the use and safety of any alternative drug treatments must be documented. Of 569 HLA-B*58:01 carriers in the present study, 354 (62%) were given alternative treatment, whereas the other carriers continued to take their prestudy medication (such as colchicine and non-steroidal anti-inflammatory drugs). Among the 354 HLA-B*58:01 carriers treated with an alternative drug, the only symptom documented during the two month follow-up was mild, transient rash in three (1%) participants.
Implications for clinical practice
In addition to the safety benefit to patients, HLA-B*58:01 screening could also be considered a cost effective intervention. Many medical societies worldwide, including the American College of Rheumatology, currently recommend the use of a xanthine oxidase inhibitor with either allopurinol or febuxostat as first line treatment for hyperuricaemia.29 Benzbromarone is a uricosuric compound that has been used to control hyperuricaemia. It is effective in lowering levels of serum uric acid, especially in patients with low urate excretion. However, benzbromarone has a risk of severe hepatotoxicity as well as acute renal colic, and the drug has been withdrawn from the market or has not been available in some countries (including the United States and some European countries).33 These are the main reasons why benzbromarone or other uricosuric compounds have not been given to all patients with gout.34
There are two potential treatment strategies against gout, which have identical therapeutic efficacy but different costs for government and society. One strategy is global substitution of allopurinol with the new xanthine oxidase inhibitor, febuxostat; the other is to use allopurinol for patients who are HLA-B*58:01 negative and substitute allopurinol with febuxostat in patients who are HLA-B*58:01 positive.
Recently, cost effectiveness analyses carried out in Thai and Korean populations suggested that HLA-B*58:01 testing is a more cost effective measure than global substitution of febuxostat for allopurinol.35 36 Because the negative predictive value of HLA-B*58:01 for allopurinol induced SCARs is 100%, the risk of developing allopurinol induced SCARs among HLA-B*58:01 negative patients would be very low. In view of the cost effectiveness or efficacy of other drug treatments for similar indications, not prescribing allopurinol to HLA-B*58:01 positive patients is likely to be prudent, despite the low estimated positive predictive value (2%) of the test.
Potential impact of study findings
In the present study, prospective screening by HLA-B*58:01 genotyping before allopurinol treatment in 2926 people with an indication for allopurinol treatment could successfully reduce the incidence of allopurinol induced SCARs (from seven expected cases of SCARs to none in the 2173 patients who took allopurinol). These results suggest that HLA-B*15:02 screening of about 110 000 new users of allopurinol in Taiwan each year could prevent about 330 cases of allopurinol induced SCARs every year.
Based on our previous experience, this expectation of impact is reasonable. Carbamazepine, which used to be the most common drug causing Stevens-Johnson syndrome and toxic epidermal necrolysis in Taiwan, is now only the eighth most common drug causing these life threatening conditions. This change is attributable to our previous prospective study showing that screening of the allele HLA-B*15:02 could reduce the incidence of carbamazepine induced Stevens-Johnson syndrome or toxic epidermal necrolysis.30 Subsequent coverage of the genotyping by the Taiwan’s National Health Insurance system led to nationwide screening for HLA-B*15:02 by the medical community.
Strengths and limitations of study
The development of a reliable pharmacogenomics based approach to prevent adverse reactions with severe complications is a good example to demonstrate that the concept of personalised medicine can be a clinical reality. So far, there have been three critical findings involving adverse drug reactions: allele HLA-B*15:02 for carbamazepine induced Stevens-Johnson syndrome or toxic epidermal necrolysis; HLA-B*57:01 for abacavir induced drug hypersensitivity; and as seen in the present study, HLA-B*58:01 for allopurinol induced SCARs.
These findings show the potential benefits of genetic testing to prevent adverse drug reactions in the clinical setting owing to extremely high negative predictive values. To achieve this goal, solid evidence collected from different clinics and based on reliable laboratory tests is essential, as well as the development of effective strategies to incorporate these tests into routine practice. More importantly, a prospective study to demonstrate that these relevant processes can be performed in clinical settings is also needed. Therefore, the PREDICT-1 study team and our group investigated the use of a prospective screening approach to prevent abacavir induced drug hypersensitivity in 200837 and carbamazepine induced Stevens-Johnson syndrome or toxic epidermal necrolysis in 2011.30
Compared with the use of other HLA alleles as biomarkers for preventing drug hypersensitivity, HLA-B*58:01 can be used in a broader spectrum of ethnic groups. The strong association between HLA-B*58:01 and allopurinol induced SCARs has been found in ethnic groups other than the Han Chinese, including Thai, Japanese, Korean, and European groups.16 17 18 20 21 38 Studies in Taiwan, Japan, Europe, and Israel have shown that allopurinol is now a major cause of drug induced SCARs.11 12 13
In countries where the HLA-B*58:01 is relatively prevalent (for example, the carrier prevalence among Taiwanese population with HLA-B*58:01 is 20%) and where a tight association has been found, screening for this allele could be beneficial for preventing allopurinol induced SCARs. However, the implementation of HLA-B*58:01 screening certainly requires caution in some populations, such as Japanese and European groups, because not all patients with allopurinol induced SCARs carry the allele in those populations.21 38 Furthermore, in countries where the allele frequency is low (about 1%), restricting the screening for this allele to a more high risk group of patients (for example, chronic renal failure) could also be a strategy for preventing SCARs.14 39
For countries or populations in which the prevalence is ill defined, further studies to estimate the prevalence are suggested for possible use of this screening. In addition, because the association between the HLA-B*58:01 allele and mild cutaneous adverse reaction induced by allopurinol has been found in mainland China,19 future investigations might be needed to examine whether screening for the HLA-B*58:01 allele could reduce the prevalence of allopurinol induced maculopapular eruption.
What is already known on this topic
Allopurinol, a first line prescription drug treatment for gout and hyperuricaemia, is one of the most common causes of severe cutaneous adverse reactions (SCARs) in many countries
There is a strong association between the HLA-B*58:01 allele and allopurinol induced SCARs in people of Han Chinese, Thai, Japanese, Korean, European, and Portuguese descent
Prospective screening for HLA-B*58:01 before allopurinol treatment in patients with an indication for allopurinol treatment could help reduce the incidence of allopurinol induced SCARs
What this study adds
Using information from the National Health Insurance research database of Taiwan, a historical incidence of seven cases of SCARs was predicted among participants receiving allopurinol treatment in a prospective study of adequate sample size
By contrast, in the present study, none of the HLA-B*58:01 negative participants who received allopurinol treatment developed SCARs during study follow-up
This pharmacogenomics approach could provide a strong basis for implementation of personalised medicine
We thank the study participants and the research and nursing staff for their meticulous data collection; and the members of the Translational Resource Center and National Center for Genome Medicine at Academia Sinica for their support in patient recruitment, genotyping, and statistical analysis.
Contributors: Equal contribution: (corresponding authorship) J-YW, Y-TC, and C-YS; (first authorship) T-MK, C-YT, S-YC, K-SC, and K-HY. C-YS was the study supervisor. J-YW, Y-TC, and C-YS obtained funding and formulated the research question. T-MK, C-HC, J-YW, Y-TC, and C-YS were involved in the study conception and design. C-YT, S-YC, K-SC, K-HY, C-SC, C-MH, C-RW, C-TW, C-LY, S-CH, J-CT, W-TL, W-CT, G-DY, T-TO, K-HC, J-HY, T-LL, T-HL, D-YC, P-JH, M-YW, Y-MC, C-HC, M-FL, H-WY, J-JL, M-CK, C-CW, S-YH, S-FL, H-PC, Y-CC, H-TL, C-WW, C-LH, C-SC, and C-SW provided study materials or patients collected and collated data. T-MK, Y-HY, and Y-CC were involved in analysis and interpretation of the data. Y-HY, Y-CC, and C-HC provided statistical expertise. T-MK and C-YS wrote the first draft of the manuscript. T-MK, K-HY, C-HC, J-YW, Y-TC, and C-YS revised it critically for important intellectual content. T-MK, M-TML, PC, and J-YW provided administrative, technical, or material support. All authors approved the final version. T-MK, J-YW, Y-TC, and C-YS are the guarantors. T-MK, C-YT, S-YC, K-SC, and K-HY contributed equally to this article. The web appendix lists other members of the Taiwan Allopurinol-SCAR Consortium.
Funding: This work was supported by grants from the Academia Sinica Genomic Medicine Multicenter Study (40-05-GMM), Taiwan Biobank, Academia Sinica, and the National Health Research Institutes (NHIRD-102-066). All three funders are from Taiwan.
Competing interests: All authors have completed the ICMJE uniform disclosure form at www.icmje.org/coi_disclosure.pdf and declare: support from the Academia Sinica Genomic Medicine Multicenter Study, Taiwan Biobank, and National Health Research Institutes for the submitted work; no financial relationships with any organisations that might have an interest in the submitted work in the previous three years; no other relationships or activities that could appear to have influenced the submitted work.
Ethical approval: The study was approved by the research ethics committee at Academia Sinica and the institutional review board at each participating clinic. Written informed consent was obtained from all participants.
Data sharing: Details of how to obtain additional data from the study (such as technical appendix, statistical programming) are available from the corresponding author at bmcys@ibms.sinica.edu.tw.
The lead author (the manuscript’s guarantor) affirms that the manuscript is an honest, accurate, and transparent account of the study being reported; that no important aspects of the study have been omitted; and that any discrepancies from the study as planned (and, if relevant, registered) have been explained.
Cite this as: BMJ 2015;351:h4848
Web Extra. Extra material supplied by the author
Web appendix: Supplementary material
References
- 1.Mini E, Nobili S. Pharmacogenetics: implementing personalized medicine. Clin Cases Miner Bone Metab 2009;6:17-24. [PMC free article] [PubMed] [Google Scholar]
- 2.Hamburg MA, Collins FS. The path to personalized medicine. N Engl J Med 2010;363:301-4. [DOI] [PubMed] [Google Scholar]
- 3.Ng PC, Murray SS, Levy S, Venter JC. An agenda for personalized medicine. Nature 2009;461:724-6. [DOI] [PubMed] [Google Scholar]
- 4.Ghislain PD, Roujeau JC. Treatment of severe drug reactions: Stevens-Johnson syndrome, toxic epidermal necrolysis and hypersensitivity syndrome. Dermatol Online J 2002;8:5. [PubMed] [Google Scholar]
- 5.Greenberger PA. 8. Drug allergy. J Allergy Clin Immunol 2006;117:S464-70. [DOI] [PubMed] [Google Scholar]
- 6.Fritsch PO, Sidoroff A. Drug-induced Stevens-Johnson syndrome/toxic epidermal necrolysis. Am J Clin Dermatol 2000;1:349-60. [DOI] [PubMed] [Google Scholar]
- 7.Chao J, Terkeltaub R. A critical reappraisal of allopurinol dosing, safety, and efficacy for hyperuricemia in gout. Curr Rheumatol Rep 2009;11:135-40. [DOI] [PubMed] [Google Scholar]
- 8.Emmerson BT. The management of gout. N Engl J Med 1996;334:445-51. [DOI] [PubMed] [Google Scholar]
- 9.Neogi T. Clinical practice. Gout. N Engl J Med 2011;364:443-52. [DOI] [PubMed] [Google Scholar]
- 10.Nuki G. An appraisal of the 2012 American College of Rheumatology guidelines for the management of gout. Curr Opin Rheumatol 2014;26:152-61. [DOI] [PubMed] [Google Scholar]
- 11.Markel A. Allopurinol-induced DRESS syndrome. Isr Med Assoc J 2005;7:656-60. [PubMed] [Google Scholar]
- 12.Ramasamy SN, Korb-Wells CS, Kannangara DR, et al. Allopurinol hypersensitivity: a systematic review of all published cases, 1950-2012. Drug Saf 2013;36:953-80. [DOI] [PubMed] [Google Scholar]
- 13.Halevy S, Ghislain PD, Mockenhaupt M, et al. Allopurinol is the most common cause of Stevens-Johnson syndrome and toxic epidermal necrolysis in Europe and Israel. J Am Acad Dermatol 2008;58:25-32. [DOI] [PubMed] [Google Scholar]
- 14.Hung SI, Chung WH, Liou LB, et al. HLA-B*5801 allele as a genetic marker for severe cutaneous adverse reactions caused by allopurinol. Proc Natl Acad Sci U S A 2005;102:4134-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Chiu ML, Hu M, Ng MH, et al. Association between HLA-B*58:01 allele and severe cutaneous adverse reactions with allopurinol in Han Chinese in Hong Kong. Br J Dermatol 2012;167:44-9. [DOI] [PubMed] [Google Scholar]
- 16.Tassaneeyakul W, Jantararoungtong T, Chen P, et al. Strong association between HLA-B*5801 and allopurinol-induced Stevens-Johnson syndrome and toxic epidermal necrolysis in a Thai population. Pharmacogenet Genomics 2009;19:704-9. [DOI] [PubMed] [Google Scholar]
- 17.Kang HR, Jee YK, Kim YS, et al. Positive and negative associations of HLA class I alleles with allopurinol-induced SCARs in Koreans. Pharmacogenet Genomics 2011;21:303-7. [DOI] [PubMed] [Google Scholar]
- 18.Kaniwa N, Saito Y, Aihara M, et al. HLA-B locus in Japanese patients with anti-epileptics and allopurinol-related Stevens-Johnson syndrome and toxic epidermal necrolysis. Pharmacogenomics 2008;9:1617-22. [DOI] [PubMed] [Google Scholar]
- 19.Cao ZH, Wei ZY, Zhu QY, et al. HLA-B*58:01 allele is associated with augmented risk for both mild and severe cutaneous adverse reactions induced by allopurinol in Han Chinese. Pharmacogenomics 2012;13:1193-201. [DOI] [PubMed] [Google Scholar]
- 20.Goncalo M, Coutinho I, Teixeira V, et al. HLA-B*58:01 is a risk factor for allopurinol-induced DRESS and Stevens-Johnson syndrome/toxic epidermal necrolysis in a Portuguese population. Br J Dermatol 2013;169:660-5. [DOI] [PubMed] [Google Scholar]
- 21.Lonjou C, Borot N, Sekula P, et al. A European study of HLA-B in Stevens-Johnson syndrome and toxic epidermal necrolysis related to five high-risk drugs. Pharmacogenet Genomics 2008;18:99-107. [DOI] [PubMed] [Google Scholar]
- 22.Yun J, Mattsson J, Schnyder K, et al. Allopurinol hypersensitivity is primarily mediated by dose-dependent oxypurinol-specific T cell response. Clin Exp Allergy 2013;43:1246-55. [DOI] [PubMed] [Google Scholar]
- 23.Yun J, Marcaida MJ, Eriksson KK, et al. Oxypurinol directly and immediately activates the drug-specific T cells via the preferential use of HLA-B*58:01. J Immunol 2014;192:2984-93. [DOI] [PubMed] [Google Scholar]
- 24.Lin CH, Chen JK, Ko TM, et al. Immunologic basis for allopurinol-induced severe cutaneous adverse reactions: HLA-B*58:01-restricted activation of drug-specific T cells and molecular interaction. J Allergy Clin Immunol 2015;135:1063-5.e5. [DOI] [PubMed] [Google Scholar]
- 25.Fam AG, Dunne SM, Iazzetta J, Paton TW. Efficacy and safety of desensitization to allopurinol following cutaneous reactions. Arthritis Rheum 2001;44:231-8. [DOI] [PubMed] [Google Scholar]
- 26.Kim SC, Newcomb C, Margolis D, Roy J, Hennessy S. Severe cutaneous reactions requiring hospitalization in allopurinol initiators: a population-based cohort study. Arthritis Care Res 2013;65:578-84. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Schneider G, Kachroo S, Jones N, et al. A systematic review of validated methods for identifying erythema multiforme major/minor/not otherwise specified, Stevens-Johnson Syndrome, or toxic epidermal necrolysis using administrative and claims data. Pharmacoepidemiol Drug Saf 2012;21 Suppl 1:236-9. [DOI] [PubMed]
- 28.Lin HW, Tu YY, Lin SY, et al. Risk of ovarian cancer in women with pelvic inflammatory disease: a population-based study. Lancet Oncol 2011;12:900-4. [DOI] [PubMed] [Google Scholar]
- 29.Wu CY, Chen YJ, Ho HJ, et al. Association between nucleoside analogues and risk of hepatitis B virus-related hepatocellular carcinoma recurrence following liver resection. JAMA 2012;308:1906-14. [DOI] [PubMed] [Google Scholar]
- 30.Chen P, Lin JJ, Lu CS, et al. Carbamazepine-induced toxic effects and HLA-B*1502 screening in Taiwan. N Engl J Med 2011;364:1126-33. [DOI] [PubMed] [Google Scholar]
- 31.Chung WH, Hung SI, Chen YT. Human leukocyte antigens and drug hypersensitivity. Curr Opin Allergy Clin Immunol 2007;7:317-23. [DOI] [PubMed] [Google Scholar]
- 32.Hershfield MS, Callaghan JT, Tassaneeyakul W, et al. Clinical Pharmacogenetics Implementation Consortium guidelines for human leukocyte antigen-B genotype and allopurinol dosing. Clin Pharmacol Ther 2013;93:153-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Lee MH, Graham GG, Williams KM, Day RO. A benefit-risk assessment of benzbromarone in the treatment of gout. Was its withdrawal from the market in the best interest of patients? Drug Saf 2008;31:643-65. [DOI] [PubMed] [Google Scholar]
- 34.Sivera F, Andres M, Carmona L, et al. Multinational evidence-based recommendations for the diagnosis and management of gout: integrating systematic literature review and expert opinion of a broad panel of rheumatologists in the 3e initiative. Ann Rheum Dis 2014;73:328-35. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Saokaew S, Tassaneeyakul W, Maenthaisong R, Chaiyakunapruk N. Cost-effectiveness analysis of HLA-B*5801 testing in preventing allopurinol-induced SJS/TEN in Thai population. PloS One 2014;9:e94294. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Park DJ, Kang JH, Lee JW, et al. Cost-effectiveness analysis of HLA-B5801 genotyping in the treatment of gout patients with chronic renal insufficiency in Korea. Arthritis Care Res 2015;67:280-7. [DOI] [PubMed] [Google Scholar]
- 37.Mallal S, Phillips E, Carosi G, et al. HLA-B*5701 screening for hypersensitivity to abacavir. N Engl J Med 2008;358:568-79. [DOI] [PubMed] [Google Scholar]
- 38.Tohkin M, Kaniwa N, Saito Y, et al. A whole-genome association study of major determinants for allopurinol-related Stevens-Johnson syndrome and toxic epidermal necrolysis in Japanese patients. Pharmacogenomics J 2013;13:60-9. [DOI] [PubMed] [Google Scholar]
- 39.Chung WH, Chang WC, Stocker SL, et al. Insights into the poor prognosis of allopurinol-induced severe cutaneous adverse reactions: the impact of renal insufficiency, high plasma levels of oxypurinol and granulysin. Ann Rheum Dis 2014, 10.1136/annrheumdis-2014-205577. [DOI] [PubMed] [Google Scholar]
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