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A predictive model of recurrent lower extremity cellulitis in a population-based cohort
David R McNamara1, Imad M Tleyjeh, Elie F Berbari
1Department of Medicine, College of Medicine, Division of Infectious Diseases, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA. mcnamara.david@mayo.edu
Archives of Internal Medicine
|April 11, 2007
Summary
A predictive model was developed to identify patients at high risk for lower extremity cellulitis recurrence. The model uses tibial area involvement, prior malignancy, and dermatitis to estimate recurrence probability.
Area of Science:
- Epidemiology
- Infectious Diseases
- Dermatology
Background:
- Cellulitis is a common bacterial skin infection.
- Recurrence affects a significant portion of patients.
- Predicting recurrence is crucial for effective management.
Purpose of the Study:
- To derive and validate a predictive model for lower extremity cellulitis recurrence.
- To identify independent risk factors associated with cellulitis recurrence.
- To develop a risk score for estimating recurrence probability.
Main Methods:
- Retrospective, population-based cohort study.
- Utilized the Rochester Epidemiology Project database.
- Cox proportional hazards analyses to identify risk factors and develop a predictive model.
Main Results:
- 16.7% of patients experienced recurrence within 2 years.
- Independent risk factors identified: tibial area involvement (HR 5.02), prior malignancy (HR 3.87), and ipsilateral limb dermatitis (HR 2.99).
- A predictive score (0-3) accurately estimated recurrence risk, with probabilities ranging from 5.0% to 92.8%.
Conclusions:
- A predictive model incorporating tibial area involvement, prior malignancy, and dermatitis can identify patients at high risk for lower extremity cellulitis recurrence.
- This model allows for targeted interventions to reduce recurrence rates.
- Further research can refine predictive models and explore preventative strategies.
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