Toxic Epidermal Necrolysis in a Critically Ill African American Woman: A Case Report Written With ChatGPT Assistance

Abstract

Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN) are life-threatening spectrum diseases in which a medication triggers a mucocutaneous reaction associated with severe necrosis and loss of epidermal integrity. The disease has a high mortality rate that can be assessed by dermatology scoring scales based on an affected total body surface area (TBSA). Sloughing of <10% TBSA is considered SJS, with a mortality of 10%. Sloughing of >30% TBSA is termed TEN, with an increased mortality rate of 25% to 35%. We present a case and management of TEN that involved >30% TBSA in a critically ill African American woman. Identification of the offending agent was difficult due to complicated medication exposure throughout her multi-facility care management. This case conveys the importance of close monitoring of a critically ill patient during a clinical course involving SJS-/TEN-inducing drugs. We also discuss the potential increased risks for SJS/TEN in the African American population due to genetic or epigenetic predispositions to skin conditions. This case report also contributes to increasing skin of color representation in the current literature. Additionally, we discuss the use of Chat Generative Pre-trained Transformer (ChatGPT, OpenAI LP, OpenAI Inc., San Francisco, CA, USA) and list its benefits and errors.