Key factors predicting the in‐hospital mortality of patients with severe cutaneous adverse reactions in Thailand

Background At present, no predictive models are available to determine the probability of in‐hospital mortality rates (HMRs) in all phenotypes of severe cutaneous adverse reactions (SCARs). Objectives Our study explored whether simple clinical and laboratory assessments could help predict the HMRs i...

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Published in:Journal of the European Academy of Dermatology and Venereology 2023-09, Vol.37 (9), p.1881-1890
Main Authors: Chuenboonngarm, Nunthanach, Puaratanaarunkon, Thanaporn, Washrawirul, Chanudda, Triwatcharikorn, Jidapa, Chancheewa, Bussabong, Theerawattanawit, Chinathip, Chongpison, Yuda, Rerknimitr, Pawinee, Klaewsongkram, Jettanong
Format: Article
Language:English
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Summary:Background At present, no predictive models are available to determine the probability of in‐hospital mortality rates (HMRs) in all phenotypes of severe cutaneous adverse reactions (SCARs). Objectives Our study explored whether simple clinical and laboratory assessments could help predict the HMRs in any phenotypes of SCAR patients. Methods Factors influencing HMRs in 195 adults diagnosed with different SCAR phenotypes were identified, and their optimal cut‐offs were determined by Youden's index. Predictive equations for HMRs for all SCAR patients and Stevens‐Johnson syndrome (SJS)/toxic epidermal necrolysis (TEN) patients were determined using the exact logistic regression models. Results Acute generalized exanthematous pustulosis (AGEP) patients were significantly older, with a short time from drug exposure to reaction, and higher neutrophil count compared to SJS/TEN and drug reaction with eosinophilia and systemic symptoms (DRESS, p 
ISSN:0926-9959
1468-3083
DOI:10.1111/jdv.19222