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Published on: October 16, 2013
Fulminant Clostridium difficile colitis: prospective development of a risk scoring system
Gwendolyn M van der Wilden1, Yuchiao Chang, Catrina Cropano
1From the Division of Trauma, Emergency Surgery and Critical Care (G.M.V.D.W., C.C., M.S., D.D.Y., D.R.K., M.A.D.M., P.J.F., G.C.V.), Department of Surgery, and Division of Biostatistics (Y.C.), Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Department of Trauma Surgery (G.M.V.D.W., I.B.S.), Leiden University Medical Center and Leiden University, Leiden, the Netherlands.
A new risk scoring system (RSS) accurately identifies patients with Clostridium difficile infection at high risk for fulminant C. difficile colitis (fCDC). This tool aids in early detection and potential surgical intervention for severe cases.
Area of Science:
- Infectious Diseases
- Gastroenterology
- Critical Care Medicine
Background:
- Fulminant C. difficile colitis (fCDC) is a severe complication of C. difficile infection, associated with high morbidity and mortality.
- Current clinical practice lacks a rapid tool to identify patients at risk for fCDC and potential surgical intervention.
Purpose of the Study:
- To develop and validate a simple and accurate risk scoring system (RSS) for early identification of patients at risk for fCDC in clinical practice.
Main Methods:
- A prospective study enrolled 746 patients with C. difficile infection.
- Risk factors including age, white blood cell count, cardiorespiratory failure, and abdominal tenderness were identified.
- A multivariable logistic regression model was used to create the RSS, with subsequent calibration and discrimination analysis.
Main Results:
- The RSS incorporates points for age (>70 years), WBC count abnormalities, cardiorespiratory failure, and abdominal tenderness.
- The RSS demonstrated high discriminatory power (c-statistic = 0.98) and good calibration (Hosmer-Lemeshow p=0.78, Brier score=0.019).
- A threshold of 6 points effectively differentiates low-risk from high-risk patients for fCDC.
Conclusions:
- The developed RSS is a valid and reliable bedside tool for identifying patients at risk of developing fCDC.
- External validation is recommended prior to widespread clinical implementation.
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