Modelo predictivo para diagnóstico de celulitis...
Journal Scan / Research · March 08, 2017
A Predictive Model for Diagnosis of Lower Extremity Cellulitis
- Journal of the American Academy of Dermatology
TAKE-HOME MESSAGE
In this cross-sectional study of 259 patients admitted through the emergency department between 2010 and 2012 with a diagnosis of lower extremity cellulitis, 30.5% were ultimately found to have been misdiagnosed with cellulitis. Variables associated with a true diagnosis of cellulitis included asymmetric involvement, leukocytosis, tachycardia, and an age >70. These variables were converted into a predictive model named the ALT-70 cellulitis score (asymmetry, 3 points; leukocytosis, 1 point; tachycardia, 1 point; age >70 years, 2 points). A score of 0–2 points indicates >83.3% likelihood of pseudocellulitis, and a score of >5 points indicates >82.2% likelihood of cellulitis.
A novel model incorporating the four variables of asymmetry, leukocytosis, tachycardia, and age >70 years is capable of predicting pseudocellulitis and cellulitis with a likelihood of >80%. This model may be useful in the emergency department for early identification and may reduce healthcare costs by precluding hospital admissions for pseudocellulitis.
– Jeffrey Scott, MD
posted by dermatica at
March 09, 2017
0 Comments:
Post a Comment
Subscribe to Post Comments [Atom]
<< Home