| Literature DB >> 26392722 |
Jason Dazley1, Hamid Shaaban1, Shoaib Afridi1, Jihad Slim1.
Abstract
Entities:
Year: 2015 PMID: 26392722 PMCID: PMC4557143 DOI: 10.4103/0974-777X.162229
Source DB: PubMed Journal: J Glob Infect Dis ISSN: 0974-777X
Figure 1Logistic regression analysis was done to determine the association between severe CDAD and PCT and receiver operating characteristic (ROC) curve analysis was done to determine the best cut-off point for PCT
Patient characteristics
Odds ratio for how different variables are associated with severe CDAD
PCT > 0.5 as a marker to identify severe CDAD