The correlation between the CRISTEN score and complete blood count parameters with the severity in Stevens-Johnson syndrome/toxic epidermal necrolysis
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Abstract
Stevens–Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN) are severe mucocutaneous adverse reactions associated with substantial morbidity and mortality. The CRISTEN prognostic score, which incorporates 10 clinical criteria, together with complete blood count parameters, may provide a practical and cost-effective approach for early risk stratification and patient monitoring. This retrospective study was conducted using medical records of patients with SJS/TEN treated at the National Hospital of Dermatology and Venereology and the Center for Allergy and Clinical Immunology, Bach Mai Hospital, over a 3-year period from 2017 to 2019. The study aimed to evaluate the prognostic value of the CRISTEN score and complete blood count parameters in patients with SJS/TEN. A total of 76 patients were included, comprising 32 patients with SJS and 44 patients with TEN. Patients with TEN had significantly lower white blood cell (WBC) and neutrophil (NEU) counts than those with SJS (p = 0.003 and p = 0.019, respectively). Both SCORTEN and CRISTEN demonstrated good discriminatory performance for severe disease, with AUC values of 0.857 and 0.815, respectively. In multivariable linear regression analysis, the combined models including SCORTEN or CRISTEN together with lymphocyte and platelet counts were significantly associated with length of hospital stay, explaining 19.9% and 17.3% of its variability, respectively (R2 = 0.199, p = 0.002 and R2 = 0.173, p = 0.006). These findings suggest that SCORTEN, CRISTEN, and complete blood count parameters on the first day of admission may be useful for assessing the risk of severe disease and prolonged hospitalization in patients with SJS/TEN.
Article Details
Keywords
Stevens - Johnson syndrome, toxic epidermal necrolysis, SCORTEN, CRISTEN, complete blood count
References
2. White KD, Abe R, Ardern-Jones M, et al. SJS/TEN 2017: Building Multidisciplinary Networks to Drive Science and Translation. J Allergy Clin Immunol Pract. 2018;6(1):38-69. doi:10.1016/j.jaip.2017.11.023
3. Bastuji-Garin S, Fouchard N, Bertocchi M, Roujeau JC, Revuz J, Wolkenstein P. SCORTEN: A Severity-of-Illness Score for Toxic Epidermal Necrolysis. J Invest Dermatol. 2000;115(2):149-153. doi:10.1046/j.1523-1747.2000.00061.x
4. Hama N, Sunaga Y, Ochiai H, et al. Development and Validation of a Novel Score to Predict Mortality in Stevens-Johnson Syndrome and Toxic Epidermal Necrolysis: CRISTEN. J Allergy Clin Immunol Pract. 2023;11(10):3161-3168.e2. doi:10.1016/j.jaip.2023.07.001
5. Wang LL, Noe MH, Micheletti RG. Prevalence of Leukopenia and Associated Outcomes in Patients With Stevens-Johnson Syndrome/Toxic Epidermal Necrolysis. JAMA Dermatol. 2022;158(10):1212-1214. doi:10.1001/jamadermatol.2022.3011
6. Ingen-Housz-Oro S, Bettuzzi T, Badaoui B, de Prost N. Outcomes Associated With Neutropenia and Lymphopenia in Epidermal Necrolysis: A Single-Center Retrospective Study of 147 Patients. JAMA Dermatol. 2023;159(3):338-340. doi:10.1001/jamadermatol.2022.6262
7. Hama N, Aoki S, Chen CB, et al. Recent progress in Stevens–Johnson syndrome/toxic epidermal necrolysis: diagnostic criteria, pathogenesis and treatment. Br J Dermatol. 2024;192(1):9-18. doi:10.1093/bjd/ljae321
8. Kinoshita M, Ogawa Y, Hama N, et al. Neutrophils initiate and exacerbate Stevens-Johnson syndrome and toxic epidermal necrolysis. Sci Transl Med. 2021;13(600):eaax2398. doi:10.1126/scitranslmed.aax2398
9. Park HJ, Yun J, Kang DY, Park JW, Et. A. Unique Clinical Characteristics and Prognosis of Allopurinol-Induced Severe Cutaneous Adverse Reactions. J Allergy Clin Immunol Pract. Published online 2019. doi:10.1016/j.jaip.2019.05.047
10. Krajewski A, Maciejewska-Markiewicz D, Jakubczyk K, et al. Impact of multiple medical interventions on mortality, length of hospital stay and reepithelialization time in Toxic Epidermal Necrolysis, Steven-Johnsons Syndrome, and TEN/SJS Overlap – Metanalysis and metaregression of observational studies. Burns. 2022;48(2):263-280. doi:10.1016/j.burns.2021.11.004