title: Comparison between the two-step and the three-step algorithms for the detection of toxigenic Clostridium difficile.
abstract: OBJECTIVE
  To evaluate usefulness of applying either the two-step algorithm (Ag-EIAs and CCNA) or the three-step algorithm (all three assays) for better confirmation of toxigenic Clostridium difficile. The antigen enzyme immunoassays (Ag-EIAs) can accurately identify the glutamate dehydrogenase antigen of toxigenic and nontoxigenic Clostridium difficile. Therefore, it is used in combination with a toxin-detecting assay [cell line culture neutralization assay (CCNA), or the enzyme immunoassays for toxins A and B (TOX-A/BII EIA)] to provide specific evidence of Clostridium difficile-associated diarrhoea.
  
  
  METHODS
  A total of 151 nonformed stool specimens were tested by Ag-EIAs, TOX-A/BII EIA, and CCNA. All tests were performed according to the manufacturer's instructions and the results of Ag-EIAs and TOX-A/BII EIA were read using a spectrophotometer at a wavelength of 450 nm.
  
  
  RESULTS
  A total of 61 (40.7%), 38 (25.3%), and 52 (34.7%) specimens tested positive with Ag-EIA, TOX-A/BII EIA, and CCNA, respectively. Overall, the sensitivity, specificity, negative predictive value, and positive predictive value for Ag-EIA were 94%, 87%, 96.6%, and 80.3%, respectively. Whereas for TOX-A/BII EIA, the sensitivity, specificity, negative predictive value, and positive predictive value were 73.1%, 100%, 87.5%, and 100%, respectively. With the two-step algorithm, all 61 Ag-EIAs-positive cases required 2 days for confirmation. With the three-step algorithm, 37 (60.7%) cases were reported immediately, and the remaining 24 (39.3%) required further testing by CCNA. By applying the two-step algorithm, the workload and cost could be reduced by 28.2% compared with the three-step algorithm.
  
  
  CONCLUSIONS
  The two-step algorithm is the most practical for accurately detecting toxigenic Clostridium difficile, but it is time-consuming.
authors.affiliation: Departments Pathology and Laboratory Medicine, Medical Technologist, MBC: J-10, King Faisal Specialist Hospital and Research Centre, Jeddah-Branch, PO Box 40047, Jeddah 21499, Saudi Arabia. mohammedqutub@hotmail.com
authors.forename: M O
authors.initials: MO
authors.lastname: Qutub
authors.forename: N
authors.initials: N
authors.lastname: AlBaz
authors.forename: P
authors.initials: P
authors.lastname: Hawken
authors.forename: A
authors.initials: A
authors.lastname: Anoos
mesh_terms: D000465:Algorithms; D001427:Bacterial Toxins / Q000032:analysis* / Q000276:immunology; D016360:Clostridioides difficile / Q000302:isolation & purification* / Q000472:pathogenicity*; D003015:Clostridium Infections / Q000175:diagnosis* / Q000382:microbiology; D005243:Feces / Q000737:chemistry / Q000382:microbiology; D006801:Humans; D007118:Immunoassay / Q000379:methods; D011237:Predictive Value of Tests; D012680:Sensitivity and Specificity
chemical_list: D001427:Bacterial Toxins