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Stevens-johnson Syndrome and Toxic Epidermal Necrolysis: An Overviewof Diagnosis, Therapy Options and Prognosis of Patients

2023· article· en· W4386046158 on OpenAlexaff
Vivek Kumar Garg, Harpal S. Buttar, Sajad Ahmad Bhat, Nuftieva Ainur, Tannu Priya, Dharambir Kashyap, Hardeep Singh Tuli

Bibliographic record

VenueRecent Advances in Inflammation & Allergy Drug Discovery · 2023
Typearticle
Languageen
FieldMedicine
TopicDrug-Induced Adverse Reactions
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsToxic epidermal necrolysisMedicineDermatologyIntensive care medicine

Abstract

fetched live from OpenAlex

Both Stevens-johnson syndrome (SJS) and Toxic-epidermal necrolysis (TEN) are generally medication-induced pathological conditions that mostly affect the epidermis and mucus membranes. Nearly 1 to 2 patients per 1,000,000 population are affected annually with SJS and TEN, and sometimes these maladies can cause serious life-threatening events. The reported death rates for SJS range from 1 to 5%, and 25 to 35% for TEN. The mortality risk may even be higher among elderly patients, especially in those who are affected by a significant amount of epidermal detachment. More than 50% of TEN patients who survive the illness may experience long-term lower quality of life and lesser life expectancy. The clinical and histopathological conditions of SJS and TEN are characterized by mucocutaneous discomfort, haemorrhagic erosions, erythema, and occasionally severe epidermal separation that can turn into ulcerative patches and dermal necrosis. The relative difference between SJS and TEN is the degree of ulcerative skin detachment, making them two extremes of a spectrum of severe cutaneous adverse drug-induced reactions (cADRs). In the majority of cases, serious drug-related hypercreativities are considered the main cause of SJS & TEN; however, herpes simplex virus and Mycoplasma pneumoniae infections may also produce similar type clinical conditions. The aetiology of a lesser number of cases and their underlying causative factors remain unknown. Among the drugs with a 'greater likelihood' of causing TEN & SJS are carbamazepine (CBZ), trimethoprim-sulfamethoxazole, phenytoin, aminopenicillins, allopurinol, cephalosporins, sulphonamides, antibiotics, quinolones, phenobarbital, and NSAIDs of the oxicam variety. There is also a strong genetic link between the occurrence of SJS and IEN in the Han Chinese population. Such genetic association is based on the human leukocyte antigen (HLA-B*1502) and the co-administration of carbamazepine. The diagnosis of SJS is made mostly on the gross observations of clinical symptoms, and confirmed by the histopathological examination of dermal biopsies of the patients. The differential diagnoses consist of the exclusion of Pemphigus vulgaris, bullous pemphigoid, linear IgA dermatosis, paraneoplastic pemphigus, disseminated fixed bullous drug eruption, acute generalized exanthematous pustulosis (AGEP), and staphylococcal scalded skin syndrome (SSSS). The management of SJS & TEN is rather difficult and complicated, and there is sometimes a high risk of mortality in seriously inflicted patients. Urgent medical attention is needed for early diagnosis, estimation of the SCORTEN prognosis, identification and discontinuation of the causative agent as well as highdose injectable Ig therapeutic interventions along with specialized supportive care. Historical aspects, aetiology, mechanisms, and incidences of SJS and TEN are discussed. An update on the genetic occurrence of these medication-related hypersensitive ailments as well as different therapy options and management of patients is also provided.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.796
Threshold uncertainty score0.964

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.003
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.290
Teacher spread0.271 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations15
Published2023
Admission routes1
Has abstractyes

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