Literature DB >> 31201853

The perils of PCR-based diagnosis of Clostridioides difficile infections: Painful lessons from clinical trials.

Ling Yuan Kong1, Kerrie Davies2, Mark H Wilcox2.   

Abstract

Diagnostic tests favoured to detect C. difficile infections (CDI) have undergone successive changes. The problem of over-diagnosis with polymerase chain reaction (PCR) testing is recognized in the clinical setting; here we discuss the parallel of the clinical trial setting. We summarize and discuss four examples of the impact of method used to diagnose CDI on clinical trial outcomes. Bezlotoxumab, a human monoclonal antibody neutralizing toxin B, was found to be protective against recurrent CDI (rCDI) in clinical trials. A post hoc analysis showed that the magnitude of the relative reduction in rCDI rates of bezlotoxumab over placebo in patients diagnosed with toxin-based testing was almost double that in patients diagnosed with PCR. SER-109, a microbiome therapeutic developed to prevent rCDI, showed promise in a phase 1b trial, but results were not replicated in a phase 2 trial in which diagnosis was in majority PCR-based. Surotomycin, an oral lipopeptide antibiotic, was found to be non-inferior to vancomycin in phase 2 study, but development was discontinued after unfavourable phase 3 results in which the majority of CDI were diagnosed by PCR. Finally, a C. difficile vaccine program for a toxoid vaccine developed by Sanofi/Pasteur was terminated after interim analysis of a phase 3 trial, in which CDI diagnosis was based solely on PCR. We highlighted the perils of using PCR alone in studies involving different aspects of C. difficile clinical research, including immunotherapies, microbiome-based therapies, treatments, and vaccines. The importance of designing C. difficile clinical trials with careful consideration to the diagnostic testing method cannot be overemphasized.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Clinical trials; Clostridioides difficile; Diagnosis

Mesh:

Substances:

Year:  2019        PMID: 31201853     DOI: 10.1016/j.anaerobe.2019.06.001

Source DB:  PubMed          Journal:  Anaerobe        ISSN: 1075-9964            Impact factor:   3.331


  5 in total

Review 1.  Ultrasensitive Clostridioides difficile Toxin Testing for Higher Diagnostic Accuracy.

Authors:  Johanna Sandlund; Kerrie Davies; Mark H Wilcox
Journal:  J Clin Microbiol       Date:  2020-05-26       Impact factor: 5.948

2.  The Role of Diagnostic Stewardship in Clostridioides difficile Testing: Challenges and Opportunities.

Authors:  Frances J Boly; Kimberly A Reske; Jennie H Kwon
Journal:  Curr Infect Dis Rep       Date:  2020-02-17       Impact factor: 3.725

3.  SER-109, an Investigational Microbiome Drug to Reduce Recurrence After Clostridioides difficile Infection: Lessons Learned From a Phase 2 Trial.

Authors:  Barbara H McGovern; Christopher B Ford; Matthew R Henn; Darrell S Pardi; Sahil Khanna; Elizabeth L Hohmann; Edward J O'Brien; Christopher A Desjardins; Patricia Bernardo; Jennifer R Wortman; Mary-Jane Lombardo; Kevin D Litcofsky; Jonathan A Winkler; Christopher W J McChalicher; Sunny S Li; Amelia D Tomlinson; Madhumitha Nandakumar; David N Cook; Roger J Pomerantz; John G Auninš; Michele Trucksis
Journal:  Clin Infect Dis       Date:  2021-06-15       Impact factor: 9.079

4.  Detection of Newly Secreted Antibodies Predicts Nonrecurrence in Primary Clostridioides difficile Infection.

Authors:  F Eun-Hyung Lee; John L Daiss; Natalie S Haddad; Sophia Nozick; Geena Kim; Shant Ohanian; Colleen S Kraft; Paulina A Rebolledo; Yun Wang; Hao Wu; Adam Bressler; Sang Nguyet Thi Le; Merin Kuruvilla; Martin C Runnstrom; Richard P Ramonell; L Edward Cannon
Journal:  J Clin Microbiol       Date:  2022-03-16       Impact factor: 11.677

Review 5.  The Efficacy and Safety of Fecal Microbiota Transplant for Recurrent Clostridium difficile Infection: Current Understanding and Gap Analysis.

Authors:  Mark H Wilcox; Barbara H McGovern; Gail A Hecht
Journal:  Open Forum Infect Dis       Date:  2020-04-11       Impact factor: 3.835

  5 in total

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