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Arch Dermatol. 2003 Jan;139(1):39-43.

Analysis of intravenous immunoglobulin for the treatment of toxic epidermal necrolysis using SCORTEN: The University of Miami Experience.

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  • 1Department of Dermatology and Cutaneous Surgery, University of Miami School of Medicine, FL 33136, USA.

Abstract

BACKGROUND:

Toxic epidermal necrolysis (TEN) is a rare, life-threatening condition caused by certain medications. Keratinocytes affected by TEN have been found to undergo apoptosis mediated by Fas-FasL interactions. Treatment with intravenous immunoglobulin (IVIG) has been proposed to inhibit this interaction.

OBJECTIVE:

To demonstrate the effectiveness of IVIG therapy in reducing mortality in patients with TEN.

DESIGN:

A retrospective analysis of 16 consecutive patients with TEN who were treated with IVIG. The SCORTEN system, a validated predictor of TEN mortality, was used to analyze the data of these patients. Using SCORTEN, we compared the predicted mortality of our patient population with observed mortality.

SETTING:

Dermatology inpatient unit at a university-affiliated hospital.

INTERVENTION:

All 16 patients received IVIG treatment daily for 4 days. Fifteen patients received 1 g/kg per day and 1 patient received 0.4 g/kg per day.

MAIN OUTCOME MEASURES:

For each patient, causes of TEN and other medical problems were documented prior to IVIG therapy, as were the 7 independent SCORTEN risk factors.

RESULTS:

One patient died. Based on the SCORTEN system, 5.81 patients were expected to die. These mortality rates were compared using the standardized mortality ratio (SMR) analysis ([Sigma observed deaths/Sigma expected deaths] x 100) to determine the efficacy of this treatment, which showed that patients with TEN treated with IVIG were 83% less likely to die than those not treated with IVIG (SMR = 0.17; 95% confidence interval, 0.0-0.96).

CONCLUSION:

Based on comparison of our observed mortality rate with the SCORTEN-predicted mortality rate, treatment with IVIG significantly decreased mortality in patients with TEN.

PMID:
12533162
[PubMed - indexed for MEDLINE]
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