The mortality of toxic epidermal necrolysis is about 30%. Our purpose was to develop and validate a specific severity-of-illness score for cases of toxic epidermal necrolysis admitted to a specialized unit and to compare it with the Simplified Acute Physiology Score and a burn scoring system. A sample of 165 patients was used to develop the toxic epidermal necrolysis-specific severity-of-illness score and evaluate the other scores, a sample of 75 for validation. Model development used logistic regression equations that were translated into probability of hospital mortality; validation used measures of calibration and discrimination. We identified seven independent risk factors for death and constituted the toxic epidermal necrolysis-specific severity-of-illness score: age above 40 y, malignancy, tachycardia above 120 per min, initial percentage of epidermal detachment above 10%, serum urea above 10 mmol per liter, serum glucose above 14 mmol per liter, and bicarbonate below 20 mmol per liter. For each toxic epidermal necrolysis-specific severity-of-illness score point the odds ratio was 3.45 (confidence interval 2.26-5.25). Probability of death was: P(death) = elogit/1 + elogit with logit = -4.448 + 1.237 (toxic epidermal nec-rolysis-specific severity-of-illness score). Calibration demonstrated excellent agreement between expected (19. 6%) and actual (20%) mortality; discrimination was also excellent with a receiver operating characteristic area of 82%. The Simplified Acute Physiology Score and the burn score were also associated with mortality. The discriminatory powers were poorer (receiver operating characteristic area: 72 and 75%) and calibration of the Simplified Acute Physiology Score indicated a poor agreement between expected (9.1%) and actual (26.7%) mortality. This study demonstrates that the risk of death of toxic epidermal necrolysis patients can be accurately predicted by the toxic epidermal necrolysis-specific severity-of-illness score. The Simplified Acute Physiology Score and burn score appear to be less adequate.
[1]
Stanley Lemeshow,et al.
Modeling the Severity of Illness of ICU Patients
,
2001
.
[2]
J. Roujeau,et al.
Toxic epidermal necrolysis and Stevens-Johnson syndrome: does early withdrawal of causative drugs decrease the risk of death?
,
2000,
Archives of dermatology.
[3]
C. Brun-Buisson,et al.
Randomised comparison of thalidomide versus placebo in toxic epidermal necrolysis
,
1998,
The Lancet.
[4]
C. Ryan,et al.
Objective estimates of the probability of death from burn injuries.
,
1998,
The New England journal of medicine.
[5]
R. Stern,et al.
Severe adverse cutaneous reactions to drugs.
,
1994,
The New England journal of medicine.
[6]
S. Lemeshow,et al.
Modeling the severity of illness of ICU patients. A systems update.
,
1994,
JAMA.
[7]
S. Lemeshow,et al.
A new Simplified Acute Physiology Score (SAPS II) based on a European/North American multicenter study
,
1993
.
[8]
J. Roujeau,et al.
Toxic epidermal necrolysis. Clinical findings and prognosis factors in 87 patients.
,
1987,
Archives of dermatology.
[9]
D. Schoenfeld,et al.
Prompt Eschar Excision: A Treatment System Contributing to Reduced Burn Mortality
,
1986,
Annals of surgery.
[10]
J. L. Gall,et al.
A simplified acute physiology score for ICU patients
,
1984,
Critical care medicine.
[11]
J. Hanley,et al.
The meaning and use of the area under a receiver operating characteristic (ROC) curve.
,
1982,
Radiology.
[12]
S. Azen,et al.
Multifactorial Probit Analysis of Mortality in Burned Patients
,
1979,
Annals of surgery.
[13]
R. Stern,et al.
Clinical classification of cases of toxic epidermal necrolysis, Stevens-Johnson syndrome, and erythema multiforme.
,
1993,
Archives of dermatology.
[14]
D. Hosmer,et al.
A review of goodness of fit statistics for use in the development of logistic regression models.
,
1982,
American journal of epidemiology.