PURPOSE: The Society for Healthcare Epidemiology of America and Infectious Diseases Society of America (SHEA-IDSA) guidelines for the treatment of Clostridium difficile infection (CDI) recommend initial treatment of CDI based on disease severity. This severity definition has not been validated or evaluated based on clinical outcomes. The ATLAS scoring system is a validated tool useful in predicting treatment response and mortality in CDI. The main purpose of this study is to evaluate the concordance of the ATLAS scoring system and the SHEA-IDSA staging for CDI severity. METHODS: This was a retrospective study which included hospitalized patients with confirmed CDI. Bivariate analyses compared baseline demographics and clinical information between patients with nonsevere and severe CDI based on the SHEA-IDSA criteria for CDI severity. Kappa scores were calculated to compare the concordance of the two scoring systems in defining CDI severity. Sensitivity and specificity of the ATLAS scoring system to determine CDI severity were calculated using the SHEA-IDSA criteria as the reference standard. RESULTS: Sixty-four patients met inclusion criteria. Of those, 62.5% were classified as mild to moderate CDI, 25% were severe, uncomplicated, and 12.5% were severe, complicated based on SHEA-IDSA criteria. In the bivariate analyses, ATLAS score breakpoints of ≥ 4, ≥ 5, and ≥ 6 revealed moderate agreement with the SHEA-IDSA classification for severity. The sensitivities and specificities for ATLAS scores in predicting CDI severity ranged from 58.3 to 87.5, and 67.5-87.5%, respectively. CONCLUSION: The ATLAS score may be useful in evaluating CDI severity and determining drug therapy selection.
PURPOSE: The Society for Healthcare Epidemiology of America and Infectious Diseases Society of America (SHEA-IDSA) guidelines for the treatment of Clostridium difficile infection (CDI) recommend initial treatment of CDI based on disease severity. This severity definition has not been validated or evaluated based on clinical outcomes. The ATLAS scoring system is a validated tool useful in predicting treatment response and mortality in CDI. The main purpose of this study is to evaluate the concordance of the ATLAS scoring system and the SHEA-IDSA staging for CDI severity. METHODS: This was a retrospective study which included hospitalized patients with confirmed CDI. Bivariate analyses compared baseline demographics and clinical information between patients with nonsevere and severe CDI based on the SHEA-IDSA criteria for CDI severity. Kappa scores were calculated to compare the concordance of the two scoring systems in defining CDI severity. Sensitivity and specificity of the ATLAS scoring system to determine CDI severity were calculated using the SHEA-IDSA criteria as the reference standard. RESULTS: Sixty-four patients met inclusion criteria. Of those, 62.5% were classified as mild to moderate CDI, 25% were severe, uncomplicated, and 12.5% were severe, complicated based on SHEA-IDSA criteria. In the bivariate analyses, ATLAS score breakpoints of ≥ 4, ≥ 5, and ≥ 6 revealed moderate agreement with the SHEA-IDSA classification for severity. The sensitivities and specificities for ATLAS scores in predicting CDI severity ranged from 58.3 to 87.5, and 67.5-87.5%, respectively. CONCLUSION: The ATLAS score may be useful in evaluating CDI severity and determining drug therapy selection.
Authors: Dhara Shah; Minh-Duc Dang; Rodrigo Hasbun; Hoonmo L Koo; Zhi-Dong Jiang; Herbert L DuPont; Kevin W Garey Journal: Expert Rev Anti Infect Ther Date: 2010-05 Impact factor: 5.091
Authors: Stuart H Cohen; Dale N Gerding; Stuart Johnson; Ciaran P Kelly; Vivian G Loo; L Clifford McDonald; Jacques Pepin; Mark H Wilcox Journal: Infect Control Hosp Epidemiol Date: 2010-05 Impact factor: 3.254
Authors: R Phillip Dellinger; Mitchell M Levy; Jean M Carlet; Julian Bion; Margaret M Parker; Roman Jaeschke; Konrad Reinhart; Derek C Angus; Christian Brun-Buisson; Richard Beale; Thierry Calandra; Jean-Francois Dhainaut; Herwig Gerlach; Maurene Harvey; John J Marini; John Marshall; Marco Ranieri; Graham Ramsay; Jonathan Sevransky; B Taylor Thompson; Sean Townsend; Jeffrey S Vender; Janice L Zimmerman; Jean-Louis Vincent Journal: Crit Care Med Date: 2008-01 Impact factor: 7.598
Authors: Hao Du; Kewin Tien Ho Siah; Valencia Zhang Ru-Yan; Readon Teh; Christopher Yu En Tan; Wesley Yeung; Christina Scaduto; Sarah Bolongaita; Maria Teresa Kasunuran Cruz; Mengru Liu; Xiaohao Lin; Yan Yuan Tan; Mengling Feng Journal: BMJ Open Gastroenterol Date: 2021-11