Clostridioides difficile is the leading cause of healthcare-associated diarrhea and the laboratory diagnosis of Clostridioides difficile infection (CDI) continues to be challenging. Accurate and rapid identification of C. difficile will reduce unnecessary antibiotic use and ensure contact isolation to control the spread of CDI. In this study, diagnostic performance of BD MAX Cdiff assay (Becton Dickinson, USA) was evaluated for the detection of C. difficile in 2502 fresh stool samples from hospitalized children and adult patients and the results were compared to toxigenic culture. The frequency of CDI in adults and pediatric patients were found as 3.3% and 6.2%, respectively. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of BD MAX Cdiff assay were found as; 100%, 99.7%, 93%, and 100% for all patients; 100%, 99.7%, 96.2%, and 100% for pediatric patients; and 100%, 99.6%, 90.2%, and 100% for adult patients, respectively. We concluded that BD MAX Cdiff assay with high sensitivity, specificity, and PPV is useful for the diagnosis of CDI. With a high NPV of 100%, BD MAX Cdiff assay is also suitable for the exclusion of CDI.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.anaerobe.2019.06.015DOI Listing

Publication Analysis

Top Keywords

max cdiff
16
cdiff assay
16
clostridioides difficile
12
diagnosis clostridioides
8
difficile infection
8
adult patients
8
pediatric patients
8
sensitivity specificity
8
100% 997%
8
patients 100%
8

Similar Publications

Current guidelines recommend a two-step algorithm rather than relying solely on a single test for diagnosing infection. This algorithm starts with enzyme immunoassay (EIA) for detecting glutamate dehydrogenase (GDH) and toxins A/B, followed by nucleic acid amplification test (NAAT) for GDH-positive but toxin-negative cases. This study compared the performance of three commercial NAATs: the STANDARD M10 , Xpert , and BD MAX Cdiff assays, utilized as confirmatory testing of the two-step algorithm.

View Article and Find Full Text PDF

We evaluated the analytical performance of three commercial molecular assays for rapid detection of Clostridioides difficile toxin B in stool samples. The results were compared with results from the BD MAX™ Cdiff assay. We analyzed forty negative and thirty-two positive stool samples with three rapid assays: Roche cobas® Liat® Cdiff, SD Biosensor STANDARD™ M10 C.

View Article and Find Full Text PDF

Comparison of commercial assays and two-step approach to detect in South Africa.

Afr J Lab Med

September 2022

National Health Laboratory Service Tygerberg Academic Laboratory, Division of Medical Microbiology, Tygerberg Hospital, Tygerberg, South Africa.

Background: is the number one cause of hospital-acquired diarrhoea. Accurate diagnosis of is of utmost importance as it guides patient management and infection control practices. Studies evaluating the performance of commercially available nucleic acid amplification tests (NAATs) versus algorithms are lacking in resource-limited settings.

View Article and Find Full Text PDF

Toxigenic Clostridioides difficile infection (CDI) is a high concern because of its increasing prevalence, among both nosocomial infection and community-acquired infection contexts. A total of 1320 prospective stool samples collected on FecalSwab™ (Cary-Blair medium) were screened using BD Max™ CDIFF assay (BDM). Results were compared to the routine algorithm including immunochromatographic testing for glutamate dehydrogenase (GDH) and toxin A/B (tox) using C.

View Article and Find Full Text PDF

Objective: Clostridioides difficile (CD) is the most common cause of nosocomial diarrhea. Detection of CD toxin in patients' faecal samples is the traditional rapid method for the diagnosis of CD infection. Various testing algorithms have been proposed: an initial screening test using a rapid test, and a confirmatory test (cytotoxicity neutralization assay, toxigenic culture, nucleic acid amplification test) for discordant results.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!