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Identifying patients with deteriorating generalized pustular psoriasis: Development of a prediction model
Jungyoon Ohn1,2, Young-Geun Choi3, Jieun Yun4
1Department of Dermatology, Seoul National University College of Medicine, Seoul, Korea.
The Journal of Dermatology
|May 2, 2022
Summary
Generalized pustular psoriasis (GPP) is a severe condition. This study identified predictors for intensive care unit admission and fatal outcomes in GPP patients, developing a prediction model to aid early detection.
Area of Science:
- Dermatology and Public Health
Background:
- Generalized pustular psoriasis (GPP) is a rare, severe, and potentially life-threatening dermatosis.
- Predictive factors for GPP patient deterioration remain poorly understood, necessitating further clinical investigation.
Purpose of the Study:
- To investigate the demographics and clinical features of adult inpatients with GPP.
- To develop a prediction model for identifying GPP patients at high risk of intensive care unit admission (iGPP) or fatal outcomes (fGPP).
Main Methods:
- A nationwide, population-based, retrospective cohort study was conducted.
- Adult GPP inpatients from January 2007 to December 2020 were analyzed.
- Predictive factors for iGPP and fGPP were identified using logistic regression.
Main Results:
- The study identified 800 GPP cases, with 21 iGPP and 17 fGPP.
- Predictors for iGPP included renal disease, myocardial infarction history, liver disease, and diabetes mellitus.
- Myocardial infarction history and psoriasis history were predictors for fGPP.
- A prediction model demonstrated reliable diagnostic value (AUC = 0.75 for iGPP, 0.83 for fGPP).
Conclusions:
- This study provides crucial clinical insights into deteriorating GPP.
- The developed prediction model can assist physicians in identifying high-risk GPP patients for timely intervention.
