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 Table of Contents    
ORIGINAL ARTICLE
Year : 2013  |  Volume : 79  |  Issue : 3  |  Page : 389-398

A systematic review of the drug-induced Stevens-Johnson syndrome and toxic epidermal necrolysis in Indian population


1 Department of Pharmacology, GMERS Medical College, Gotri, Vadodara, Gujarat, India
2 Department of Pharmacology, Government Medical College, Bhavnagar, Gujarat, India

Date of Web Publication19-Apr-2013

Correspondence Address:
Tejas K Patel
Department of Pharmacology, GMERS Medical College, Gotri 390 021, Gujarat
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/0378-6323.110749

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  Abstract 

Background: Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN) are rare severe cutaneous drug reactions. No large scale epidemiological data are available for this disorder in India. Aims: To carry out a systematic review of the published evidence of the drug-induced SJS and TEN in Indian population. Methods: Publications from 1995 to 2011 describing SJS and TEN in Indian population were searched in PubMed, MEDLINE, EMBASE and UK PUBMED Central electronic databases. Data were collected for the causative drugs and other clinical characteristics of SJS and TEN from the selected studies.Results: From 225 references, 10 references were included as per selection criteria. The major causative drugs were antimicrobials (37.27%), anti-epileptics (35.73%) and non-steroidal anti-inflammatory drugs (15.93%). Carbamazepine (18.25%), phenytoin (13.37%), fluoroquinolones (8.48%) and paracetamol (6.17%) were most commonly implicated drugs. Regional differences were observed for fluoroquinolones, sulfa drugs and carbamazepine. Total 62.96% of patients showed systemic complications. Most common complications were ocular (40.29%) and septicemia (17.65%). Higher mortality was observed for TEN as compared to SJS (odd ratio-7.19; 95% confidence interval (CI) 1.62-31.92; p = 0.0023). Observed mortality is higher than expected as per SCORTEN score 3. Duration of hospital stay was significantly higher in TEN (20.6 days; 95% CI 14.4-26.8) as compared to SJS (9.7 days; 95% CI 5.8-13.6; p = 0.020). Cost of management was significantly higher in TEN (Rs. 7910; 95% CI 5672-10147; p < 0.0001) as compared to SJS (Rs 2460; 95% CI 1762-3158). No statistical data were described for steroid use in the studies included. Conclusion: Carbamazepine, phenytoin, fluoroquinolones and paracetamol were the major causative drugs. TEN is showing higher mortality, morbidity and economic burden than SJS.


Keywords: Causative drugs, corticosteroids, India, SCORTEN score, Stevens-Johnson syndrome, toxic epidermal necrolysis


How to cite this article:
Patel TK, Barvaliya MJ, Sharma D, Tripathi C. A systematic review of the drug-induced Stevens-Johnson syndrome and toxic epidermal necrolysis in Indian population. Indian J Dermatol Venereol Leprol 2013;79:389-98

How to cite this URL:
Patel TK, Barvaliya MJ, Sharma D, Tripathi C. A systematic review of the drug-induced Stevens-Johnson syndrome and toxic epidermal necrolysis in Indian population. Indian J Dermatol Venereol Leprol [serial online] 2013 [cited 2019 Nov 19];79:389-98. Available from: http://www.ijdvl.com/text.asp?2013/79/3/389/110749



  Introduction Top


Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN) are rare but severe cutaneous drug reactions endangering patient's life. Incidence of SJS and TEN is 2.6-7.1 persons per million populations per year in United States. [1],[2] It is 1.1 and 0.93 per million per year for SJS and TEN respectively in Germany. [3] Drugs are most commonly implicated for causing 77-95% of cases. [4],[5] SJS/TEN have been observed with more than 100 drugs. Common culprits are antimicrobials, anti-epileptic drugs and non-steroidal anti-inflammatory agents (NSAIDs).

SJS and TEN involve <10% and >30% of the body surface area respectively. The third condition named as SJS-TEN overlap falls in-between SJS and TEN. [6] Patient may initially present with SJS, which subsequently evolves into TEN or SJS-TEN overlap. Diagnosis mainly relies on clinical signs and histopathology of skin lesions. [7] The exact mechanism of SJS/TEN still remains largely unknown. Immunological mechanisms, reactive drug metabolites or interactions between these two are proposed. Interactions between CD95 L and Fas (CD 95) are directly involved in the epidermal necrolysis. [8],[9] Granulysin is also considered as a key mediator for disseminated keratinocyte death in SJS/TEN. [8]

Being a rare disease, there is a lack of large sample Indian studies. The main purpose of this study is to carry out a systematic review of published literature to generate a large-scale database in the form of causative drugs, differences in the regional distribution of drugs, clinical outcome and economic burden in Indian population.


  Methods Top


The search was focused on publications describing drug-induced SJS/TEN in Indian population. The search strategy included the following key terms: 'TEN' OR 'SJS' OR 'cutaneous adverse drug reactions (ADR)' AND ('India' OR 'Indian population'). The search included the electronic databases-PubMed, MEDLINE, EMBASE and UK PUBMED Central. It also included the review of bibliographies of relevant articles. Article published from 1995 to 2011 were included. Articles only in English language were considered. Studies were selected by two reviewers independently by the search from July 2011 to February 2012. Title, abstract and if required full articles from the retrieved references were assessed for possible inclusion into the study. Review articles, commentaries and editorials were excluded. Protocol of this study was registered in the PROSPERO register for the systematic review (Center for reviews and dissemination (CRD) 42011001872).

Inclusion criteria

  • Studies in Indian population
  • Case-control, cohort studies and case series (including at least 10 cases) of SJS and TEN
  • Studies of ADR or cutaneous ADR (prospective or retrospective) including at least 10 cases of SJS and TEN
  • All age groups and clinical settings (indoor or outdoor patients)


Exclusion criteria

  • Studies not conducted in Indian population
  • Studies not specifically describing the causative drugs
  • Case series or case reports with less than 10 cases of SJS and TEN


Review methods

The 'STROBE statement'- a reporting guideline with checklists for the observational studies that are considered essential for good reporting was used to assess the quality of the included studies. [10],[11] For each study, information was collected for the causative drugs for SJS/TEN. Selected studies were divided into four regions (North, South, East and West) according to Central Drug Standard Control Organization (CDSCO) zonal distribution to compare the primary outcome variable - causative drugs. [12] Other data collected were demographic, type of clinical settings, ADR causality assessments, incubation period, prodromal and clinical features, co-morbid conditions, complications, duration of hospital stay, cost of management, SCORTEN score, mortality and use of corticosteroids.

Outcome analysis

Data for primary outcome variable were extracted from the studies and summarized using absolute numbers of cases and percentage. Subgroup analysis was performed for four regions of India and Chi-square test was used to compare the proportion of causative drugs. Data for secondary outcome variables were extracted and summarized using ranges, means and proportions as provided by the authors. Combined mean and standard deviation were calculated for the incubation period. Prodromal and clinical features were summarized qualitatively. Data for the complications, co-morbid conditions, abnormal laboratory parameters, mortality and SCORTEN score were pooled and presented as proportions. Percentage of mortality between SJS and TEN was compared by Chi-square test. Duration of hospital stay, cost of management and use of the corticosteroids were summarized as presented by the authors. Any disagreements were discussed and resolved by a consensus and by a third reviewer. SPSS software version 17.0 was used for statistical analysis. p < 0.05 was considered significant.


  Results Top


Literature search

The literature search yielded 225 references, of which 204 were excluded as per criteria. Twenty one references were fully evaluated, and 10 were included as per criteria for the final analysis. [13],[14],[15],[16],[17],[18],[19],[20],[21],[22]

Characteristic and quality of the studies included

Among ten included studies, five were prospective and five were retrospective case series. We did not find any cohort or case-control study. Two studies were from North, four from the South, three from the West and one from the East India. Four studies followed WHO causality analysis [14],[15],[16],[20] and one followed Naranjo's algorithm. [22] Five studies did not mention the causality assessment [Table 1]. [13],[17],[18],[19],[21] Bastuji-Garin S et al. [6] classification was used by two studies for the diagnosis of SJS/TEN. [19],[21] Clinical and morphological grounds were mentioned by five studies. [13],[14],[15],[17],[22] Studies adhered poorly to the 'STROBE statement' recommendations. [10],[11]
Table 1: Characteristics of the included studies


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Characteristics of the patients

In above 10 studies, 352 cases of SJS/TEN were reported. Seven studies differentiated the cases into SJS, TEN and SJS-TEN overlap category. [13],[14],[15],[18],[19],[21],[22] From that seven studies, the number of patients with SJS, TEN and SJS-TEN overlap were 144 (50.17%), 120 (41.81%) and 23 (8.01%) respectively. Maximum numbers of cases were in the age group of 21-40 years. Male-female ratio was 1:1.13. [17],[18],[19],[21],[22] The youngest patient was a three-year-old child and the eldest was a 78-year-old male [Table 2].
Table 2: Demographics of the patients


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Causative drugs

Drugs were implicated in 342 (97.14%) out of 352 total cases. Total 389 encounters with prescribed drugs (average 1.14 drugs per case) were suspected. On analysis, the total number of drugs was 58 as same drug have been prescribed more than once in different patients. Out of the 10 studies, six studies have not differentiated the SJS, TEN and SJS-TEN overlap separately for describing the causative drugs. [13],[16],[17],[18],[20],[21] So, no differentiation was made between SJS, TEN and SJS-TEN overlap in this study. Antimicrobials (37.27%), anti-epileptic drugs (35.73%) and NSAIDs (15.93%) were the major causative drugs [Table 3]. Total 30 different antimicrobials were suspected. Carbamazepine (18.25%), phenytoin (13.37%), fluoroquinolones (8.48%) and paracetamol (6.17%) were found to be the most commonly implicated. West Indian, [18],[20],[22] North Indian [13],[19] and South Indian [14],[15],[17],[21] studies were compared to find out the regional differences between causative drugs. Due to small sample size, East Indian study [16] was excluded from comparison. There was no regional difference between frequency of distributions of antimicrobials, anti-epileptics and NSAIDs as a group [Table 4]. In individual causative drugs, regional differences were observed for fluoroquinolones, sulfa drugs and carbamazepine. South Indian studies had reported higher percentage of cases with fluoroquinolones (p = 0.001), whereas West and North Indian studies had reported higher percentage of cases with sulfa drugs (p0 = 0.0134). Carbamazepine was the most common causative drug from the North and South Indian studies (p = 0.0407). No regional difference was noted for phenytoin and paracetamol.
Table 3: Drugs causing stevens-johnson syndrome/toxic epidermal necrolysis


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Table 4: Regional distribution of causative drugs


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Incubation period and clinical features

Duration between the drug intake and the first onset of a symptom was ranged between few h and 45 days. Average incubation period pooled from three studies [18],[19],[22] was 16.47 ± 10.62 days. Prodromal features fever, cough, sore throat, headache, myalgia, and burning sensation were described in two studies. [19],[21] As described by Sanmarkan et al., [21] skin lesions preceded mucosal lesions in 50% of patients. Oral, conjunctiva and genital mucosa were involved in 43.47% of patients. [21] However, oral mucosal scarring was not observed by Devi et al. [17] Authors had co-related it with the early use of corticosteroids in their patients. [17]

Co-morbid conditions

Total 52 (32.70%) co-morbid conditions were observed in 159 patients. [17],[18],[19],[21],[22] Human immunodeficiency virus (HIV) infection (18 cases-11.32%), diabetes (9 cases-5.66%), carcinoma (6 cases-3.77%), hypertension (5 cases-3.14%) and tuberculosis (5 cases-3.14%) were commonly observed. [17],[18],[19],[21],[22] Reported cases of malignancy were non-Hodgkin's lymphoma (3.57%), fibrillary astrocytoma (1.79%), carcinoma breast (1.79%), and carcinoma cervix (1.79%).

Complications and mortality

Complications were described in three studies. [19],[21],[22] Total 62.96% (68 out of 108) of patients developed systemic complications. Most common complications [Table 5] were ocular (40.29%) comprising symblepharon, hypopyon, corneal scarring, viral or bacterial conjunctivitis, blepharitis and corneal xerosis. Others were septicemia (17.65%), secondary infections (13.23%), pneumonitis (8.82%) and acute renal failure (ARF) (7.35%). Abnormal laboratory parameters [Table 6] were observed in four studies [18],[19],[21],[22] included altered hematological (41.54%), liver functions (39.43%), electrolytes (7.04%), hyperglycemia (6.33%) and renal functions (5.63%). Average number of abnormal laboratory parameters per patient was 1.20. Overall mortality was 12.94%; 3.92% in SJS; 5.26% in SJS-TEN overlap and 28.20% in TEN cases. [13],[14],[15],[16],[17],[18],[19],[21],[22] Higher mortality observed in TEN as compared to SJS was significant (odd ratio-7.19; 95% CI: 1.62-31.92; p0 = 0.0023 by Chi-square test). Antimicrobials (42.10%), anti-epileptics (26.31%) and NSAIDs (15.79%) were the causative drugs in the expired patients. [14],[15],[17],[18],[21] Total 14 out of 18 patients (77.78%) died had one of the associated co-morbid conditions like the HIV infection (5), diabetes (4), malignancy (2), chronic alcoholism (1), head injury with coma (1) and hypothyroidism (1). [15],[17],[18],[21] The presence of a severe systemic illness before the onset of SJS/TEN was a bad prognostic factor. [17] The most common cause of death was septicemia. [13],[17],[18],[19],[21] ARF, acute respiratory distress syndrome (ARDS) and multiple organ dysfunctions were other reported causes. [13],[17],[21]
Table 5: Complications associated with stevens-johnson syndrome/toxic epidermal necrolysis


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Table 6: Abnormal laboratory parameters


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SCORTEN score

SCORTEN was reported in three studies. [18],[21],[22] Sanmarkan et al. mentioned its range from 0 to 5 in the TEN patients. Data were pooled from other two studies to calculate the percentage of mortality according to score at the time of admission. [18],[22] Observed mortality rate matches with the expected mortality rate, [23] except higher mortality was observed for SCORTEN score 3 [Table 7].
Table 7: Comparison between expected and observed mortality by SCORTEN score


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Duration of hospital stay and management cost

Data of duration of hospital stay and management cost were described by Barvaliya et al. [22] Hospitalization was 9.7 days (95% CI: 5.8-13.6) in SJS, 16.1 days (95% CI: 5.0-27.4) in SJS-TEN overlap and 20.6 days (95% CI: 14.4-26.8) in TEN. It was significantly higher in TEN as compared to SJS (p = 0.020, Tukey-Kramer Multiple comparisons test). Management cost was Rs 2460 (95% CI: 1762-3158) in SJS, Rs. 4857 (95% CI: 2118-7587) in SJS-TEN overlap and Rs 7910 (95% CI: 5672-10147) in TEN that was significantly higher as compared to SJS (p < 0.0001, Tukey-Kramer Multiple comparisons test). [22] The cost was based on drugs, investigations and consumables used. Direct nonmedical and indirect costs were not mentioned. [22]

Use of corticosteroids

No detailed description of corticosteroid use was found in the studies. Two studies have recommended early short-term use of dexamethasone. [19],[21] Sharma et al. [19] described the use of parenteral dexamethasone (4-8 mg/day) or equivalent steroids for a short course of 2-12 days in tapering doses in 29 patients with early active disease or with the reappearance of erythema in recovering patients. Lag period for the starting of treatment in early active cases was not mentioned. Sanmakaran et al. [21] reported onset of healing on 3 rd day in patients on the dexamethasone pulse. Short term dexamethasone may reduce mortality without improvement in healing. Earlier onset of healing i.e., on 2 nd day and lowest period of hospitalization was also noted for methyl-prednisolone therapy. However, dosage, route and lag period for administration of dexamethasone and methyl-prednisolone were not described. [21] Devi et al. [17] described the use of systemic dexamethasone (4-12 mg/day in divided doses parenterally) for a period of two weeks in tapering doses under cover of antibiotics in 36 patients within 2-3 days of onset of symptoms. They observed complete recovery in patients without having underlying systemic disease and no mucosal scaring in the eyes. [17]


  Discussion Top


In the present study, clinical characteristics of SJS/TEN in Indian population are systematically reviewed from the selected studies from 1995 to 2011. The age of patients with SJS/TEN ranges from 3 years to 78 years. The majority of the patients are in the range of 21-40 years that matches with the reports from other countries. [24] Female preponderance observed here is similar to other studies abroad. [24],[25] No seasonal variation is documented in any of these studies as reported by Wanat et al. [26]

The major causative drugs are antimicrobials, anti-epileptics and NSAIDs. Thirty three antimicrobials from 11 groups are implicated. Most common are fluoroquinolones (8.48%), sulpha drugs (6.68%), anti-tubercular drugs (5.65%), penicillins (5.39%), anti-retro virals (3.34%) and cephalosporins (3.08%). One study from Singapore [27] reports highest incidence with β-lactam antibiotics that almost matches this study if penicilins and cephalosporins above are considered together. Cephalosporins are the most common culprit reported from Japan. [24] Sulphonamides (50.6%) and nevirapine (23.6%) are most commonly implicated drugs from Togo. [28] Association of antimicrobials with SJS/TEN is suspected to be a confounding factor if they are given during fever before the appearance of skin manifestations. However, severe cutaneous adverse reactions (SCAR) study has found significant increase risk of SJS with sulfa drugs, aminopenicillins, quinolones and cephalosporins after ruling out recent infections as a confounding factor. [29] In EuroSCAR study, nevirapine is the leading culprit in HIV-positive patients. [25] Though the total reported cases with nevirapine are 11 (2.83%) in our study; this drug should be monitored because of its widespread use as a first-line anti-retroviral drug in India. It should be discontinued as soon as eruption occurs. [30] Patterns of the most common reported antimicrobials varies from country to country. In our study, anti-tubercular drugs are found as the third most common cause which does not match with European studies probably due to low disease burden there. In Togo, eight cases of SJS/TEN have been observed in HIV-infected patients taking combination of rifampicin and isoniazid. [31] Few cases of SJS/TEN due to tetracyclines, antimalarials, aminoglycosides, macrolides and chloramphenicol are reported in our study. Considering their widespread use across India, risk seems minimal.

In this study, carbamazepine (18.25%) and phenytoin (13.37%) are most commonly involved anti-epileptic drugs. They are widely used in India. [32],[33] Carbamazepine and phenytoin are also reported as most common anti-epileptic drugs for SJS/TEN in Taiwan. [34] Carbamazepine is the most the common and the only anti-epileptic reported from Japan and Singapore. [24],[27] SCAR study has reported association of SJS/TEN with phenobarbitone, carbamazepine, phenytoin and sodium valproate. [29] Subsequent EuroSCAR study did not find significant risk with sodium valproate. [25] The association of sodium valproate seems to be confounded by concomitant use of other anti-epileptic drugs. [25],[35] In our study, merely two cases are suspected due to sodium valproate. Considering its widespread use, [33] risk of SJS/TEN seems insignificant in India. EuroSCAR found a significant risk with lamotrigine. [25] The risk estimates of SJS/TEN vary between 1 and 10 per 10,000 in current users of carbamazepine, lamotrigine, phenytoin and phenobarbitone. [36] We have found only one case with lamotrigine. This is probably due to its limited utilization in our country. [33] Among cases exposed to anti-epileptic drugs in EuroSCAR study, 85-100% of patients have initiated their treatment less than 8 weeks before the reaction. [25] Risk for the development of SJS/TEN with anti-epileptics is largely confined to initial 8 weeks. [25],[35] This should be considered for analyzing the causal relationship between anti-epileptic drugs and SJS/TEN.

Among the NSAIDs, paracetamol and nimesulide are most common reported in this study. SCAR study has found an overall risk of SJS with oxicam derivatives. It reports increased risk with paracetamol from Germany, Italy, and Portugal except France. There is no increased risk with diclofenac, salicylates and pyrazolone derivatives. [29] EuroSCAR study found weak association of paracetamol with SJS. [25] Paracetamol is confounded by its use to treat nonspecific symptoms such as fever or pain, the early signs of the adverse reaction or infection both. [25] However, pararacetamol is found to be a potential risk factor in children when data from pediatric patients from the SCAR and EuroSCAR studies are pooled. [37] Out of the 10 included studies, eight had mentioned the paracetamol as a suspected causative agent. [14],[15],[17],[18],[19],[20],[21],[22] However, causality analysis was done by four studies only. Three of them used WHO causality definitions, [14],[15],[20] and one used Naranjo's algorithm. [22] No details about use of paracetamol along with antimicrobials or other agents are mentioned in any of the studies under review. Higher reporting of paracetamol may be because it is widely prescribed and available over-the-counter. Many other less prescribed drugs have more ADR than paracetamol. In contrast to SCAR and EuroSCAR, [25],[29] we found only one case of SJS with piroxicam. Drug utilization studies of NSAIDs from India show the less use of piroxicam as compared to paracetamol, ibuprofen and diclofenac. [38],[39]

No regional differences in frequency of reporting of antimicrobials, anti-epileptic drugs and NSAIDs as a group are observed. Carbamazepine, phenytoin and paracetamol are the most common culprit drugs from the South, North and West India respectively. A relative risk of SJS/TEN usually remains uniform geographically. The prevalence of exposure to medication may vary between countries and with the time period. [37] The observed regional differences for fluoroquinolones, sulfa drugs and carbamazepine could be due to different utilization pattern of these drugs or because of under-reporting. We have not found any regional difference with paracetamol as described by SCAR study. [29] Out of these drugs, genetic predisposition is only reported with the carbamazepine. Strong association between carbamazepine-induced SJS with human leucocyte antigen (HLA-B*) 1502 is reported in the Han Chinese population. [40] HLA-B*1502 allele is not a universal marker for this disease and it depends on ethnicity. [41] The association has not been found in Caucasian patients. However, this allele is seen in high frequency in many Asian populations. The US FDA has made a label change in drug information about carbamazepine for a strong correlation between HLA-B*1502 and SJS/TEN. [42] One study from India reports HLA-B*1502 in six out of eight patients of carbamazepine-induced SJS/TEN. [43] Phenytoin possesses an aromatic ring like carbamazepine. In one case-control study from Taiwan, HLA-B*1502 was present in 8 out of 26 (30.8%) patients of phenytoin-induced SJS and 3 out of 3 (100%) in patients of oxacarbazepine-induced SJS. These drugs should also be avoided in HLA-B*1502 carriers. [44]

HIV is the most common co-morbid condition in the patients of SJS/TEN in India. Observed proportion of HIV-positive patients in the present study is lower than South Africa (78.67%), Togo (54.6%) and higher than France (7.3%). [28],[45],[46] Incidence rate of SJS is 1,000 fold higher in HIV-positive patients as compared to general population in Germany. [47] In contrast to our study, higher cases of malignancy (10.6%) than HIV infection (6.6%) were reported in EuroSCAR. [25] The patients had complications involving eye, liver, kidneys, lungs, and blood. In addition to septicemia, other problems in the course were ARF, ARDS and multiple organ dysfunctions. Surviving sepsis campaign (SSC) guidelines can be followed to reduce the mortality due to septicemia, particularly in TEN patients. It is developed by the international group of the experts. [48] Various studies have shown the reduced mortality following implementation of the SSC guidelines. [49],[50] There is a wide difference in the mortality between SJS (3.92%) and TEN (28.2%). Higher mortality, duration of stay and management cost are observed in TEN as compared to SJS that is in accordance with the studies abroad. [24],[27],[51] Data of duration of stay and management cost were based on one study only. More studies from India are required to substantiate the data. Availability of facilities and the level of care may have affected the mortality and duration of stay.

SCORTEN uses seven independent risk factors to predict the risk of death: Age, malignancy, heart rate, epidermal detachment, serum urea, glucose and bicarbonate at admission. [23] In our study, in patients having SCORTEN score 3 at admission show higher than expected mortality. The SCORTEN is associated with a greater risk of day to day varying mortality during first 5 days of hospitalization. Its performance is best at day three. [52] Vaishampaiyyan et al. [18] observed the progression of score from the day of admission to day five. SCORTEN score should be observed up to day 5 for the accurate prediction of mortality.

Corticosteroids are considered controversial in the management of SJS/TEN despite their use for more than 30 years. No randomized controlled trials are available to establish their efficacy. [53] It is difficult to analyze the effect of steroids from this study due to limited description of their use. Early use of short term dexamethasone therapy seems beneficial. Short term dexamethasone therapy (1.5 mg/kg/day) on three consecutive days at an early stage of the reaction may reduce mortality without affecting the healing time. [54] A recent systematic review in children has shown the beneficial effect of steroids. Patients treated with dressing and support treatments alone without a steroid have longer hospitalization, remission, and are more prone to complications and death. [55]

There are several limitations to this study. As this systematic review was based on the case-series only, there was an absence of a control group and lack of denominator data, i.e., total number of prescriptions with suspected drugs in study population. So, we could not quantify the risk of SJS/TEN associated with the use of medication. There is also the strong possibility of under-reporting. All the parameters were not available for analysis from the selected studies. Six of the 10 studies did not specify separately which patients produced SJS or TEN or SJS-TEN overlap. For the important parameters like complications and SCORTEN only three and two studies were available respectively. So the sample for analysis is very small. No study differentiated the profile of pediatric and adult cases with respect to drugs implicated, course of illness and mortality. Statistically substantiated reason against the use of corticosteroids cannot be given. More studies for SJS/TEN are necessary from India. Registry system for SJS/TEN is required in India to strengthen the database to design effective treatment modalities.

 
  References Top

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    Tables

  [Table 1], [Table 2], [Table 3], [Table 4], [Table 5], [Table 6], [Table 7]

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