Associations Between Stevens–Johnson Syndrome and Infection: Overview of Pharmacoepidemiological Studies
Takuya Imatoh
Yoshiro Saito- 1Division of Cohort Research, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
- 2Division of Medicinal Safety Science, National Institute of Health Sciences, Kanagawa, Japan
Stevens–Johnson syndrome and toxic epidermal necrolysis (SJS/TEN) are classified as type B adverse drug reactions, and are severe, potentially fatal rare disorders. However, the pathogenesis of SJS/TEN is not fully understood. The onset of SJS/TEN is triggered by the immune system in response to antigens with or by drugs. As activation of the immune system is important, infection could be a risk factor for the onset of SJS/TEN. Based on the hypothesis that infections induce the onset of SJS/TEN, we conducted pharmacoepidemiological investigations using two spontaneous adverse drug reaction reporting databases (Japanese Adverse Drug Event Report database and Food and Drug Administration Adverse Event Reporting System) and Japanese medical information database. These data suggest that infection could be a risk factor for the development of SJS/TEN. In this mini-review, we discuss the association between infection and the development of SJS/TEN.
Introduction
Stevens–Johnson syndrome (SJS) and the related disease toxic epidermal necrolysis (TEN) are two of the most serious adverse reactions caused by drugs. SJS is characterized by high fever, malaise, and a rapidly developing, blistering exanthema of macular papules and target-like lesions, accompanied by mucosal involvement. According to the World Allergy Organizations (WAO) definition of 2014, SJS/TEN are defined by the degree of skin detachment: SJS/TEN are defined as skin involvement of <10 and >30%, respectively, and that of SJS/TEN overlap as 10–30% skin involvement.
SJS/TEN are known as idiosyncratic drug reactions. They are rare and unpredictable. Therefore, serious idiosyncratic drug reaction is one of the cause of withdrawal of drug from the market. SJS/TEN are rare but life-threatening severe cutaneous adverse reactions, which are mainly induced by a variety of drugs. SJS/TEN occur in all ages, races, and sexes (1), with incidences ranging from 0.4 to 1.2 and 1.2 to 6 per million person-years. A USA-based study analyzing nationwide inpatient records from 2009 to 2012 calculated an incidence per million inhabitants of 8.61–9.69 for SJS, 1.46–1.84 for SJS/TEN overlap, and 1.58–2.26 for TEN (2). Epidemiological studies have calculated a TEN incidence rate of 1.2 per 1 million inhabitants per year for France (3) and of 0.93 per 1 million inhabitants per year for Germany (4). However, Frey et al. recently estimated that Asian patients were at a two-fold higher risk of SJS/TEN when compared with Caucasian patients (5). The incidence of SJS ranged from 3.3–4.1 per million people per year in Taiwan between 2000 and 2008 (6). Approximately 800–1,000 cases of SJS and 500–700 cases of TEN are reported annually in Japan (7).
Some drugs have been associated with the onset of SJS/TEN. Phenytoin, carbamazepine, and phenobarbital have been reported as common causes of SJS in a previous case control study (8). Additionally, sulfamethoxazol/trimethoprim, sulfonamides (sulfasalazine, sulfadiazine, sulfadoxine, and sulfafurazole) and oxicam-type non-steroidal anti-inflammatory drugs (NSAIDs) (meloxicam, piroxicam, and tenoxicam) are known to have a high risk of inducing SJS/TEN. A large proportion of suspected drug is comprised cold medicines. In particular, SJS/TEN with severe ocular complications (SOC) associated with cold medicine were reported in several studies (9, 10). In addition to conventional drugs, herbal remedies and new biologicals have been considered as causative agents. Recently, lamotrigine and zonisamide have been reported as major causative drugs of SJS/TEN (7).
The pathogenesis of SJS/TEN is not yet fully understood, but it is thought to be immune-mediated. The role of the T-cell-mediated immune response in the pathogenesis of SJS/TEN has been firmly established. In particular, the human leukocyte antigen (HLA) system plays an important role in the pathogenesis of SJS/TEN, as some drugs may bind directly to the HLA-complex and cause self-reactivity due to the drug-modified HLA-peptide repertoire (11). There are numerous reported associations between some HLA alleles and SJS/TEN (12–14).
In this mini-review, we have focused to analyze on infections, that is, the role of the immune response to viruses and bacteria in SJS/TEN. Previous studies have reported associations between some infections and the onset of SJS/TEN. However, most were clinical studies and case reports (15–19) with very few pharmacoepidemiological studies. Therefore, we conducted a pharmacoepidemiological study to elucidate the association between infection and SJS/TEN using the Japanese Adverse Drug Event Report (JADER) database. We also used the Food and Drug Administration (FDA) Adverse Events Reporting System (FAERS) database to compare these associations in the US, Europe, Japan, and other countries. Based on these findings, we discuss the association between infection and the development of SJS/TEN.
Results of a Pharmacoepidemiological Study Using the JADER Database
First, to elucidate the association between infection and SJS/TEN, we conducted a pharmacoepidemiological study using the JADER database (20).
JADER is a large published spontaneous reporting database for drug adverse reactions that was established by Japan's Pharmaceuticals and Medical Device Agency (PMDA) for pharmacovigilance activities. The dataset can be accessed directly on: http://www.info.pmda.go.jp/fukusayoudb/CsvDownload.jsp (available in Japanese only), and compose of four relational tables: DEMO, DRUG, REAC, and HIST. The tables contain the following information: demographic information of patients including, sex and age (DEMO table), drug information used in patients (DRUG table), adverse drug information that have occurred in patients (REAC table) and primary disease information (HIST table). Each table was connected using the ID number of each recorded case.
We used the November 2014 version of JADER and extracted the records of 177,659 cases of ADRs reported from 2009–2013. The reported cases were classified into three categories (anti-infectious drug group, concomitant infection group, and non-infection group) based on the presence of anti-infectious drugs (either as primary suspected drug or concomitant drug) and infectious disease. We defined the cases whose clinical outcome was “death,” “unrecovered,” or “with sequela” as severe. We assessed the association between SJS/TEN and the presence or seriousness of infection using logistic regression analysis. Logistic regression analysis showed a significant positive association between the infection status and onset of SJS/TEN compared to the non-infection group. Odds ratios (OR) were 2.04 [95% confidence interval (CI) (1.85–2.24)] for the anti-infectious drug group and 2.44 [95% CI (2.21–2.69)] for the concomitant infection group, respectively. Moreover, a significantly positive association between infection and SJS/TEN severity was observed [OR 1.48; 95% CI (1.10–1.98)]. These results suggest that SJS/TEN is strongly associated with infection in this Japanese dataset.
Results of a Pharmacoepidemiological Study Using a Japanese Medical Information Database
Spontaneous drug adverse reaction databases have considerable biases. Limited information is available in standardized spontaneous reports (21) and only a fraction of adverse drug events are identified and reported (22). There is a growing need for real-world data in medical and healthcare research. Big data in healthcare may be comprised of massive amounts of information from various sources, including electronic health records (EHRs), administrative or claims data, and data from self-monitoring devices. The utilization of electronic medical record databases for drug safety assessment has been extensively discussed (23–25). In Japan, a new medical information database network (designated MID-NET®) to provide real-world data for drug safety assessments was officially launched in April 2018 (26). This network was designed and developed by the Ministry of Health, Labor and Welfare, and the PMDA in collaboration with 23 hospitals of 10 healthcare organizations across Japan. Thus, real-world data is an important source of information for the detection of adverse drug reactions.
We used a medical information database in Japan to confirm the association between infection and the onset of SJS/TEN (27). We used commercial medical information data collected by Medical Data Vision (MDV Co., Ltd). The medical information database covers more than 30 million patients in more than 400 Japanese hospitals and includes health claims, pharmacy claims and the diagnosis procedure combination (DPC) data.
Since antipyretic analgesics, including acetaminophen and loxoprofen sodium, are widely prescribed and are known as major suspected drugs for SJS/TEN (28), we conducted a matched nested case-control study to elucidate the association between concurrent infection and the onset of SJS/TEN in patients prescribed antipyretic analgesics. We used the data of 4,112,055 patients prescribing antipyretic analgesics between January 2014 and December 2015. The presence of International Classification of Diseases, 10th revision (ICD-10) codes for SJS/TEN (L511, L512) was defined as SJS/TEN. 553 (0.01%) were diagnosed with SJS/TEN. Among them, 131 patients who had been prescribed antipyretic analgesics during the month prior to the defined date of SJS/TEN onset were identified. Moreover, to minimize the impact of antibiotics agents, we excluded the patients who had been prescribed top 10 suspected antibiotics and viral and fungal agents (levofloxacin, clarithromycin, amoxicillin, galenoxacin, sefkapen, sulfamethoxazole/trimethoprim, azithromycin, ceftriaxone, cefditoren and vancomycin) during the month prior to the index date.
In a matched nested case-control study, for each case, three controls were randomly matched with the case for age at index date (onset of SJS/TEN) and sex. Infection was defined the diagnosis of infection (bacterial, viral, and fungal infection) during the month prior to the index date, which co-existed with one or more prescription claims for antibiotic agents (antibiotics-bacterial, virus, and fungal infection agents) in the same month. We calculated odds ratios and 95% CIs using conditional logistic regression to estimate the association between SJS/TEN and infection on patients prescribing antipyretic analgesics.
According to conditional logistic regression analysis, patients with infection and prescribing antipyretic analgesics had significantly increased the risk of onset of SJS/TEN [adjusted OR 5.59, 95% CI (2.01–15.51)] (Table 1). Similar to the results of our study using the JADER, It suggests that infection may increase the risk for the onset of SJS/TEN in patients taking antipyretic analgesics.
Table 1. Odds ratios for the combination between antipyretic analgesics and infection in matched nested case control analysis of SJS/TEN.
Results of a Pharmacoepidemiological Study Using FAERS
Based on both JADER and Japanese medical information databases, an association was found between infection and the onset of SJS/TEN. We next conducted a pharmacoepidemiological study using FAERS to elucidate the association between infection and the onset of SJS/TEN in other countries.
The FAERS database contains >14 million adverse event reports, medication error reports and product quality complaints resulting in adverse events that were submitted to the FDA in the USA and other countries and has increased to over 1.8 million reports per year. Case report information is separated into seven tables, which contain details on patient demographics and administrative information (DEMO), medication and biological products used (DRUG), adverse drug reactions (REAC), patient outcomes (OUTC), report sources (RPSR), drug therapy start and end dates (THER), and indication (INDI). The database is made publicly available as a quarterly download on the FDA website.
We obtained data from case reports received by the FDA between January 1, 2007 and June 30, 2017. Duplicate reports were removed, and drug names were modified based on modified World Health Organization (WHO) drug dictionaries. To identify infections, we used the DRUG and INDI files, which include two drug variables and an indications variable, defined as follows: (1) DRUG_CODE: code of medicinal product; (2) ROLE_COD: code for drug's reported role in event, and (3) INDI_PT: PT code of indications. We categorized infection into three categories, defined as follows: (1) primary suspected anti-infectious drug group, (2) concomitant infection group, and (3) non-infection group. We identified individual SJS/TEN based on the MedDRA (version 20.1) preferred terms in the FAERS database. The ORs and 95% CIs were calculated using logistic regression analysis.
We observed significant associations between infections and SJS/TEN in the US and England (Table 2). In particular, a strong association was observed in the US. [US: OR for primary suspected anti-infectious drug group 8.21, 95% CI (7.60–8.87), OR for concomitant infection group 3.69, 95% CI (3.32–4.10); England: OR for primary suspected anti-infectious drug group 3.30, 95% CI (2.82–3.87), OR for concomitant infection group 3.69, 95% CI (2.82–3.98)]. However, there was no association between infection and SJS/TEN in China. [OR for primary suspected anti-infectious drug group 0.89, 95% CI (0.53–1.48), OR for concomitant infection group 1.13, 95% CI (0.59–2.18)].
Table 2. Odds ratios for the association between infection and SJS/TEN in the FAERS database.
Discussion
We consulted three medical databases JADER, a medical information database in Japan, and FAERS, to analyze the association between infection and SJS/TEN. Based on the available information, there appears to be a strong statistical association between infection and the onset of SJS/TEN, in Western countries, as well as in Japan.
Cutaneous diseases, including drug reactions, are increased up to 100-fold in persons with human immunodeficiency virus (HIV) (29). Infectious agents, such as a variant of Coxsackie virus A6 and Mycoplasma pneumoniae, have been previously reported to cause SJS/TEN (16, 30, 31). Furthermore, 56% of SJS patients had an antecedent upper respiratory tract infection or non-specific viral infection (19, 32). Recently, a study using microbiological analysis reported that a higher proportion of pathogenic microorganisms, including Pseudomonas spp., Staphylococcus spp., Streptococcus spp., and Acinetobacter spp., was observed in the SJS patient group (33). Meanwhile, several pharmacoepidemiological studies have reported that some classes of antibiotics are associated with the occurrence of SJS/TEN (3, 5, 34). Previous studies that used EHRs have reported that more than half of the SJS/TEN cases are attributed to antibiotics (35).
We found that the association between infection and SJS/TEN differed between countries. The frequency of HLA alleles differs among ethnicities. For example, HLA-B*1502 is common in East Asians (6.9%) (36), and the FDA recommends screening this allele in individuals of Asian ancestry before initiating treatment with carbamazepine.
SJS/TEN is thought to be a type IV hypersensitivity reaction, in which a drug or its metabolite stimulates cytotoxic T-cells and helper T cells. The specific molecular mechanisms driving this reaction have only been elucidated in a handful of cases, and the pathogenesis of SJS/TEN is not completely clear. Numerous studies have reported that HLA and T-cell receptors play an important role in the immune mechanisms of SJS/TEN. Several concepts have been proposed to explain the pathogenesis of severe cutaneous adverse drug reactions. In the hapten concept, small molecules called haptens elicit an immune response only when attached to proteins. The “p-i” concept postulates that the suspected drugs can stimulate cells by binding directly and reversibly to immune receptors. The altered peptide repertoire model suggests that drugs alter the antigen by binding to the human leukocyte antigen pocket. Recently, White et al. proposed that some T-cell mediated hypersensitivity reactions likely represent another example of heterologous immunity (37). Another possibility is that innate immunity-related molecules such as toll-like receptors might be activated by the infections and their involvement of specific immune reactions to the drug for SJS/TEN onset. The pathogenesis of SJS/TEN clearly requires further investigation.
There are many case reports and small sample-size clinical studies regarding the association between infection and SJS/TEN. Epidemiological studies with larger sample sizes are extremely rare. Although large-scale epidemiological studies have been performed in the United States, Europe, and Korea (5, 38, 39), little has been reported on the association between infection and SJS/TEN. We conducted large-scale epidemiological studies using Japanese medical data from spontaneous reporting adverse databases and medical information databases. While JADER or FAERS are useful to investigate the risk factors for adverse drug reactions, as the incidences of SJS and TEN are very rare, these databases have some inherent limitations. These limitations include underreporting, biased reporting rates, incomplete patient information, and indeterminate population exposure, and create the need for complementary data sources and methods (40). There are two major limitations that are unique to the FAERS database. First, the drug nomenclature consists of medication brands and trade names, generic or non-proprietary names, and chemical or scientific names with frequent misspellings. Second, there are a lot of duplicates and multiple follow-up reports (41). Consequently, the interpretation of these findings requires careful consideration.
We also conducted an epidemiological study using a Japanese medical information database. The limitations of real-world evidence studies can include low internal validity, lack of quality control surrounding data collection, and susceptibility to multiple sources of bias for comparing outcomes. As these database were collected retrospectively, there may be some potential confounding factors that were not analyzed. In our medical information database study, even though the patients prescribing top 10 suspected antibiotics and viral and fungal agents in SJS/TEN were excluded, the significant association remained. However, it was not possible to completely distinguish whether the associations were caused by the infection, or were a direct consequence of the antibiotic agents. Hence, additional evidence is needed to elucidate the association between infection and SJS/TEN.
In summary, we reviewed our pharmacoepidemiological studies on the association between infection and SJS/TEN. These studies indicated that there is a strong association between infection and the onset of SJS/TEN, in Japan and other countries analyzed. Overall, infection may be an important risk factor for SJS/TEN worldwide.
Author Contributions
All authors listed have made a substantial, direct and intellectual contribution to the work, and approved it for publication.
Funding
This study was supported by AMED under Grant Number 19mk0101085j0503.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
References
1. Böttiger LE, Strandberg I, Westerholm B. Drug-induced febrile mucocutaneous syndrome: with a survey of the literature. Acta Med Scand. (1975) 198:229–33. doi: 10.1111/j.0954-6820.1975.tb19532.x
2. Strom BL, Carson JL, Halpern AC, Schinnar R, Snyder ES, Shaw M, et al. A population-based study of Stevens–Johnson syndrome: incidence and antecedent drug exposures. Arch Dermatol. (1991) 127:831–8. doi: 10.1001/archderm.1991.01680050075007
3. Roujeau JC, Guillaume JC, Fabre JP, Penso D, Fléchet ML, Girre JP. Toxic epidermal necrolysis (Lyell syndrome). Incidence and drug etiology in France, 1981–1985. Arch Dermatol. (1990) 126:37–42. doi: 10.1001/archderm.126.1.37
4. Schöpf E, Stühmer A, Rzany B, Victor N, Zentgraf R, Kapp JF. Toxic epidermal necrolysis and Stevens–Johnson syndrome: an epidemiologic study from West Germany. Arch Dermatol. (1991) 127:839–42. doi: 10.1001/archderm.1991.01680050083008
5. Frey N, Jossi J, Bodmer M, Bircher A, Jick SS, Meier CR, et al. The epidemiology of Stevens–Johnson syndrome and toxic epidermal necrolysis in the UK. J Invest Dermatol. (2017) 137:1240–7. doi: 10.1016/j.jid.2017.01.031
6. Syu FK, Pan HY, Chuang PC, Huang YS, Cheng CY, Cheng FJ. Incidence of Stevens–Johnson syndrome following combination drug use of allopurinol, carbamazepine and phenytoin in Taiwan: a case–control study. J Dermatol. (2018) 45:1080–7. doi: 10.1111/1346-8138.14528
7. Hosohata K, Inada A, Oyama S, Niinomi I, Wakabayashi T, Iwanaga K. Adverse cutaneous drug reactions associated with old- and new- generation antiepileptic drugs using the Japanese Pharmacovigilance Database. Clin Drug Investig. (2019) 39:363–8. doi: 10.1007/s40261-019-00754-z
8. Rzany B, Correia O, Kelly JP, Naldi L, Auquier A, Stern R. for the Study Group of the International Case Control Study on Severe Cutaneous Adverse Reactions. Risk of Stevens–Johnson syndrome and toxic epidermal necrolysis during first weeks of antiepileptic therapy: a case-control study. Lancet. (1999) 353:2190–4. doi: 10.1016/S0140-6736(98)05418-X
9. Ueta M. Results of detailed investigations into stevens-johnson syndrome with severe ocular complications. Invest Ophthalmol Vis Sci. (2018) 59:DES183–DES191. doi: 10.1167/iovs.17-23537
10. Tangamornsuksan W, Chanprasert S, Nadee P, Rungruang S, Meesilsat N, Ueta M, et al. HLA genotypes and cold medicine-induced Stevens-Johnson syndrome/toxic epidermal necrolysis with severe ocular complications: a systematic review and meta-analysis. Sci Rep. (2020) 10:10589. doi: 10.1038/s41598-020-67610-5
11. Lee HY, Chung WH. Toxic epidermal necrolysis: the year in review. Curr Opin Allergy Clin Immunol. (2013) 13:330–6. doi: 10.1097/ACI.0b013e3283630cc2
12. Wang Q, Sun S, Xie M, Zhao K, Li X, Zhao Z. Association between the HLA-B alleles and carbamazepine-induced SJS/TEN: a meta-analysis. Epilepsy Res. (2017) 135:19–28. doi: 10.1016/j.eplepsyres.2017.05.015
13. Park HJ, Kim YJ, Kim DH, Kim J, Park KH, Park JW, et al. HLA allele frequencies in 5802 koreans: varied allele types associated with SJS/TEN according to culprit drugs. Yonsei Med J. (2016) 57:118–26. doi: 10.3349/ymj.2016.57.1.118
14. Dean L. Carbamazepine Therapy and HLA Genotype. Bethesda, MD: National Center for Biotechnology Information (2012).
15. Sah R, Neupane S, Khadka S, Poudyal S, Paneru HR, Sah R, et al. A case study of Stevens–Johnson syndrome-toxic epidermal necrolysis (SJS-TEN) overlap in Mycoplasma pneumoniae -Associated tracheobronchitis. Case Rep Infect Dis. (2019) 2019:5471765. doi: 10.1155/2019/5471765
16. Fournier S, Bastuji-Garin S, Mentec H, Revuz J, Roujeau JC. Toxic epidermal necrolysis associated with Mycoplasma pneumoniae infection. Eur J Clin Microbiol Infect Dis. (1995) 14:558–9. doi: 10.1007/BF02113442
17. Forman R, Koren G, Shear NH. Erythema multiforme, Stevens–Johnson syndrome and toxic epidermal necrolysis in children: a review of 10 years' experience. Drug Saf. (2002) 25:965–72. doi: 10.2165/00002018-200225130-00006
18. Aihara Y, Ito S, Kobayashi Y, Aihara M. Stevens–Johnson syndrome associated with azithromycin followed by transient reactivation of herpes simplex virus infection. Allergy. (2004) 59:118. doi: 10.1046/j.1398-9995.2003.00336.x
19. Choy AC, Yarnold PR, Brown JE, Kayaloglou GT, Greenberger PA, Patterson R. Virus induced erythema multiforme and Stevens–Johnson syndrome. Allergy Proc. (1995) 16:157–61. doi: 10.2500/108854195778666847
20. Imatoh T, Sai K, Fukazawa C, Hinomura Y, Nakamura R, Okamoto-Uchida Y, et al. Association between infection and severe drug adverse reactions: an analysis using data from the Japanese Adverse Drug Event Report database. Eur J Clin Pharmacol. (2017) 73:1643–53. doi: 10.1007/s00228-017-2320-5
22. Jha AK, Laguette J, Seger A, Bates DW. Can surveillance systems identify and avert adverse drug events? A prospective evaluation of a commercial application. J Am Med Inform Assoc. (2008) 15:647–53. doi: 10.1197/jamia.M2634
23. Sherman RE, Anderson SA, Dal Pan GJ, Gray GW, Gross T, Hunter NL, et al. Real-world evidence—What is it and what can it tell us? N Engl J Med. (2016) 375:2293–7. doi: 10.1056/NEJMsb1609216
24. Platt R, Wilson M, Chan KA, Benner JS, Marchibroda J, McClellan M. The new sentinel network–improving the evidence of medical-product safety. N Engl J Med. (2009) 361:645–7. doi: 10.1056/NEJMp0905338
25. Behrman RE, Benner JS, Brown JS, McClellan M, Woodcock J, Platt R. Developing the sentinel system—a national resource for evidence development. N Engl J Med. (2011) 364:498–9. doi: 10.1056/NEJMp1014427
26. Yamaguchi M, Inomata S, Harada S, Matsuzaki Y, Kawaguchi M, Ujibe M, et al. Establishment of the MID-NET® medical information database network as a reliable and valuable database for drug safety assessments in Japan. Pharmacoepidemiol Drug Saf. (2019) 28:1395–404. doi: 10.1002/pds.4879
27. Imatoh T, Sai K, Saito Y. The association between concurrence of infection and the onset of severe eruption or liver injury in patients using antipyretic analgesics: a matched, nested case-control study. J Clin Pharmacol. (2020) 60:1177–84. doi: 10.1002/jcph.1613
28. Liotti L, Caimmi S, Bottau P, Bernardini R, Cardinale F, Saretta F, et al. Clinical features, outcomes and treatment in children with drug induced Stevens–Johnson syndrome and toxic epidermal necrolysis. Acta Biol Med. (2019) 90:52–60. doi: 10.23750/abm.v90i3-S.8165
29. Coopman SA, Johnson RA, Platt R, Stern RS. Cutaneous disease and drug reactions in HIV infection. N Engl J Med. (1993) 328:1670–4. doi: 10.1056/NEJM199306103282304
30. Olson D, Watkins LKF, Demirjian A, Lin X, Robinson CC, Pretty K, et al. Outbreak of mycoplasma pneumoniae-associated Stevens–Johnson syndrome. Pediatrics. (2015) 136:e386–e394. doi: 10.1542/peds.2015-0278
31. Chung WH, Shih SR, Chang CF, Lin TY, Huang YC, Chang SC, et al. Clinicopathologic analysis of coxsackievirus A6 new variant induced widespread mucocutaneous bullous reactions mimicking severe cutaneous adverse reactions. J Infect Dis. (2013) 208:1968–78. doi: 10.1093/infdis/jit383
32. Ginsburg CM. Stevens–Johnson syndrome in children. Pediatr Infect Dis. (1982) 1:155–8. doi: 10.1097/00006454-198205000-00005
33. Kittipibul T, Puangsricharern V, Chatsuwan T. Comparison of the ocular microbiome between chronic Stevens–Johnson syndrome patients and healthy subjects. Sci Rep. (2020) 10:4353. doi: 10.1038/s41598-020-60794-w
34. Mockenhaupt M, Viboud C, Dunant A, Naldi L, Halevy S, Bouwes Bavinck JNB, et al. Stevens–Johnson syndrome and toxic epidermal necrolysis: assessment of medication risks with emphasis on recently marketed drugs. The EuroSCAR-study. J Invest Dermatol. (2008) 128:35–44. doi: 10.1038/sj.jid.5701033
35. Blumenthal KG, Wickner PG, Lau JJ, Zhou L. Stevens–Johnson syndrome and toxic epidermal necrolysis: a cross-sectional analysis of patients in an integrated allergy repository of a large health care system. J Allergy Clin Immunol Pract. (2015) 3:277–80.e1. doi: 10.1016/j.jaip.2014.10.002
36. Phillips EJ, Sukasem C, Whirl-Carrillo M, Müller DJ, Dunnenberger HM, Chantratita W, et al. Clinical pharmacogenetics implementation consortium guideline for HLA genotype and use of carbamazepine and oxcarbazepine: 2017 Update. Clin Pharmacol Ther. (2018) 103:574–81. doi: 10.1002/cpt.1004
37. White KD, Chung WH, Hung SI, Mallal S, Phillips EJ. Evolving models of the immunopathogenesis of T cell-mediated drug allergy: the role of host, pathogens, and drug response. J Allergy Clin Immunol. (2015) 136:219–34; quiz 235. doi: 10.1016/j.jaci.2015.05.050
38. Hsu DY, Brieva J, Silverberg NB, Silverberg JI. Morbidity and mortality of Stevens–Johnson syndrome and toxic epidermal necrolysis in United States adults. J Invest Dermatol. (2016) 136:1387–97. doi: 10.1016/j.jid.2016.03.023
39. Yang SC, Hu S, Zhang SZ, Huang JW, Zhang J, Ji C, et al. The epidemiology of Stevens–Johnson syndrome and toxic epidermal necrolysis in China. J Immunol Res. (2018) 2018:4320195. doi: 10.1155/2018/4320195
40. Goldman SA. Limitations and strengths of spontaneous reports data. Clin Ther. (1998) 20(Suppl C):C40–C44. doi: 10.1016/S0149-2918(98)80007-6
Keywords: Stevens–Jonhson syndrome, toxic epidermal necrolysis, infection, pharmacoepidaemiology, real world evidence
Citation: Imatoh T and Saito Y (2021) Associations Between Stevens–Johnson Syndrome and Infection: Overview of Pharmacoepidemiological Studies. Front. Med. 8:644871. doi: 10.3389/fmed.2021.644871
Received: 22 December 2020; Accepted: 04 March 2021;
Published: 26 March 2021.
Edited by:
Mayumi Ueta, Kyoto Prefectural University of Medicine, JapanReviewed by:
Yoshito Zamami, Tokushima University, JapanJaya P. Gnana-Prakasam, Saint Louis University, United States
Copyright © 2021 Imatoh and Saito. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Takuya Imatoh, timato@ncc.go.jp