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A Protein Microarray Assay for Serological Determination of Antigen-specific Antibody Responses Following Clostridium difficile Infection
Published on: June 15, 2018
Development and validation of a Clostridium difficile risk assessment tool
Lisa Ann Smith1, Chi-Keung Chan, Margo Halm
1Lisa Ann Smith is Critical Care Float Nurse, Allina Health-United Hospital, 333 North Smith Ave, St Paul, MN 55102 (lisa.smith@allina.com). Chi-Keung Chan is Assistant Professor, Department of Counseling and Psychology, Hong Kong Shue Yan University, North Point, Hong Kong. Margo Halm is Director Nursing Research, Professional Practice and Magnet, Salem Hospital, Salem, Oregon. Wendolyn Slattery is Medical Director of Infection Control, Allina Medical Clinic, Coon Rapids, Minnesota. Ruth Lindquist is Professor, University of Minnesota School of Nursing, Minneapolis. Kay Savik is Senior Statistician, University of Minnesota School of Nursing, Minneapolis.
A new scoring tool identifies patients at high risk for Clostridium difficile infection. This tool aids in early intervention, potentially reducing hospital stays, costs, and mortality rates associated with this infection.
Area of Science:
- Infectious Diseases
- Healthcare Management
- Clinical Risk Assessment
Background:
- Clostridium difficile infection (CDI) incidence has risen significantly, leading to increased hospitalizations, costs, and mortality.
- Effective strategies are needed to identify at-risk patients for timely intervention.
- Current risk assessment methods may not be comprehensive enough.
Purpose of the Study:
- To develop and validate a predictive tool for identifying patients at risk of Clostridium difficile infection.
- To utilize known risk factors to create a practical scoring system for clinical application.
Main Methods:
- Retrospective case-control study design.
- Multivariate analysis to identify significant risk factors for CDI.
- Development of a weighted scoring tool based on identified risk factors.
- Validation of the tool using a separate patient cohort.
Main Results:
- An 8-item weighted scoring tool was developed, incorporating factors like prior admission, recent endoscopy, antibiotic use, length of stay, age, BMI, and albumin levels.
- The tool demonstrated high sensitivity (86% in derivation, 92% in validation) for predicting CDI.
- Specificity was moderate (44% in derivation, 39% in validation).
Conclusions:
- The developed 8-item tool can effectively identify patients at risk for Clostridium difficile infection.
- Clinical application by nurses can facilitate prophylactic measures, isolation, and optimized antibiotic stewardship.
- Implementation may lead to reduced healthcare burden associated with CDI.
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