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Multicenter Study
. 2019 Apr 1;155(4):448-454.
doi: 10.1001/jamadermatol.2018.5605.

Development and Validation of a Risk Prediction Model for In-Hospital Mortality Among Patients With Stevens-Johnson Syndrome/Toxic Epidermal Necrolysis-ABCD-10

Affiliations
Multicenter Study

Development and Validation of a Risk Prediction Model for In-Hospital Mortality Among Patients With Stevens-Johnson Syndrome/Toxic Epidermal Necrolysis-ABCD-10

Megan H Noe et al. JAMA Dermatol. .

Erratum in

  • Error in P Value Report.
    [No authors listed] [No authors listed] JAMA Dermatol. 2019 Sep 1;155(9):1090. doi: 10.1001/jamadermatol.2019.2200. JAMA Dermatol. 2019. PMID: 31365029 Free PMC article. No abstract available.
  • Error in Author's Name.
    [No authors listed] [No authors listed] JAMA Dermatol. 2019 Sep 1;155(9):1090. doi: 10.1001/jamadermatol.2019.2835. JAMA Dermatol. 2019. PMID: 31509161 Free PMC article. No abstract available.

Abstract

Importance: Stevens-Johnson syndrome/toxic epidermal necrolysis (SJS/TEN) is a spectrum of severe mucocutaneous drug reaction associated with significant morbidity and mortality. A previously developed SJS/TEN-specific severity-of-illness model (Score of Toxic Epidermal Necrolysis [SCORTEN]) has been reported to overestimate and underestimate SJS/TEN-related in-hospital mortality in various populations.

Objective: To derive a risk prediction model for in-hospital mortality among patients with SJS/TEN and to compare prognostic accuracy with the SCORTEN model in a multi-institutional cohort of patients in the United States.

Design, setting, and participants: Data from a multicenter cohort of patients 18 years and older treated for SJS/TEN between January 1, 2000, and June 1, 2015, were obtained from inpatient consult databases and electronic medical record systems at 18 medical centers in the United States as part of the Society for Dermatology Hospitalists. A risk model was derived based on data from 370 of these patients. Model discrimination (calculated as area under the receiver operating characteristic curve [AUC]) and calibration (calculated as predicted vs observed mortality, and examined using the Hosmer-Lemeshow goodness-of-fit statistic) were assessed, and the predictive accuracy was compared with that of SCORTEN. All analysis took place between December 2016 and April 2018.

Main outcomes and measures: In-hospital mortality.

Results: Among 370 patients (mean [SD] age 49.0 [19.1] years; 195 [52.7%] women), 54 (15.14%) did not survive to hospital discharge. Five covariates, measured at the time of admission, were independent predictors of in-hospital mortality: age in years (odds ratio [OR], 1.05; 95% CI, 1.02-1.07), body surface area (BSA) in percentage of epidermal detachment (OR, 1.02; 95% CI, 1.01-1.04), serum bicarbonate level below 20 mmol/L (OR, 2.90; 95% CI, 1.43-5.88), active cancer (OR, 4.40; 95% CI, 1.82-10.61), and dialysis prior to admission (OR, 15.94; 95% CI, 3.38-66.30). A severity-of-illness score was calculated by taking the sum of 1 point each for age 50 years or older, epidermal detachment greater than 10% of BSA, and serum bicarbonate level below 20 mmol/L; 2 points for the presence of active cancer; and 3 points for dialysis prior to admission. The score was named ABCD-10 (age, bicarbonate, cancer, dialysis, 10% BSA). The ABCD-10 model showed good discrimination (AUC, 0.816; 95% CI, 0.759-0.872) and calibration (Hosmer-Lemeshow goodness of fit test, P = .30). For SCORTEN, on admission, the AUC was 0.827 (95% CI, 0.774-0.879) and was not significantly different from that of the ABCD-10 model (P = .72).

Conclusions and relevance: In this cohort of patients with SJS/TEN, ABCD-10 accurately predicted in-hospital mortality, with discrimination that was not significantly different from SCORTEN. Additional research is needed to validate ABCD-10 in other populations. Future use of a new mortality prediction model may provide improved prognostic information for contemporary patients, including those enrolled in observational studies and therapeutic trials.

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Conflict of interest statement

Conflict of Interest Disclosures: Dr Rosenbach reports serving as a consultant for Merck, aTyr, and Processa Pharmaceuticals and serving as principal investigator for a trial supported by Processa with funds going to the University of Pennsylvania, all outside the scope of the present work. No other disclosures are reported. Dr Mostaghimi received personal fees from Pfizer and Hims Inc outside the scope of the present work. Dr Musiek reported other conflicts from Soligenix, miRagen, Actilion, Helsinn, Pfizer, and Kyowa and personal fees from Helsinn and Kyowa outside the scope of the present work; she has also served as sub-investigator/technician on several studies in oncology and neurology where she provided the service of biopsies or skin evaluations and was reimbursed for those services. Dr Gelfand served as a consultant for BMS, Boehringer Ingelheim, GSK, Janssen Biologics, Novartis Corp, UCB (DSMB), Sanofi, and Pfizer Inc, receiving honoraria; he receives research grants (to the Trustees of the University of Pennsylvania) from Abbvie, Janssen, Novartis Corp, Celgene, Ortho Dermatologics, and Pfizer Inc; and he received payment for continuing medical education work related to psoriasis that was supported indirectly by Lilly, Ortho Dermatologic, and Novartis. Dr Gelfand is also a co–patent holder of resiquimod for treatment of cutaneous T-cell lymphoma. Dr Gelfand is also a Deputy Editor for the Journal of Investigative Dermatology, receiving honoraria from the Society for Investigative Dermatology. No other disclosures are reported.

Figures

Figure.
Figure.. Receiver Operating Characteristic Curves for ABCD-10 SCORTEN Measures
The area under the curve was similar for ABCD-10 and SCORTEN at both Day 0 (n = 334) (0.816; 95% CI, 0.759-0.872 vs 0.827; 95% CI, 0.774-0.879) (P = .72) (A) and after 48 hours (n = 287) (0.823; 95% CI, 0.760-0.885 vs 0.848; 95% CI, 0.787-0.909) (P = .56) (B). ABCD-10 indicates age, bicarbonate level, cancer, dialysis, and 10% involved body surface area; SCORTEN, Score of Toxic Epidermal Necrolysis.

References

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