ArticleThe American journal of gastroenterology2015
Rapid, accurate, and on-site detection of C. difficile in stool samples.
Article in The American journal of gastroenterology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.
- Medical diagnosis at the point-of-care by portable high-field asymmetric waveform ion mobility spectrometry: a systematic review and meta-analysis.Journal of breath research · 2021Pooled it
- Trial
- Identification of volatile compounds from bacteria by spectrometric methods in medicine diagnostic and other areas: current state and perspectives.Applied microbiology and biotechnology · 2021Review
- Prediction of mortality in severe acute malnutrition in hospitalized children by faecal volatile organic compound analysis: proof of concept.Scientific reports · 2020Article
- In vitro detection of common rhinosinusitis bacteria by the eNose utilising differential mobility spectrometry.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2018Article
- Application of Electronic-Nose Technologies and VOC-Biomarkers for the Noninvasive Early Diagnosis of Gastrointestinal DiseasesSensors (Basel, Switzerland) · 2018Review
- Diagnosis of Clostridium difficile infection using an UPLC-MS based metabolomics method.Metabolomics : Official journal of the Metabolomic Society · 2018Article
- Optimized Sampling Conditions for Fecal Volatile Organic Compound Analysis by Means of Field Asymmetric Ion Mobility Spectrometry.Analytical chemistry · 2018Article
- Development of severe bronchopulmonary dysplasia is associated with alterations in fecal volatile organic compounds.Pediatric research · 2018Article
- Equivalent Performance of the CobasEuropean journal of microbiology & immunology · 2017Article
- Effects of Sampling Conditions and Environmental Factors on Fecal Volatile Organic Compound Analysis by an Electronic Nose Device.Sensors (Basel, Switzerland) · 2016Article
- The Antimicrobial Stewardship Approach to Combating Clostridium Difficile.Antibiotics (Basel, Switzerland) · 2015Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 3 countries.
Funding
Abstract
objectivesA rapid test to diagnose Clostridium difficile infection (CDI) on hospital wards could minimize common but critical diagnostic delay. Field asymmetric ion mobility spectrometry (FAIMS) is a portable mass spectrometry instrument that quickly analyses the chemical composition of gaseous mixtures (e.g., above a stool sample). Can FAIMS accurately distinguish C. difficile-positive from -negative stool samples?
methodsWe analyzed 213 stool samples with FAIMS, of which 71 were C. difficile positive by microbiological analysis. The samples were divided into training, test, and validation samples. We used the training and test samples (n=135) to identify which sample characteristics discriminate between positive and negative samples, and to build machine learning algorithms interpreting these characteristics. The best performing algorithm was then prospectively validated on new, blinded validation samples (n=78). The predicted probability of CDI (as calculated by the algorithm) was compared with the microbiological test results (direct toxin test and culture).
resultsUsing a Random Forest classification algorithm, FAIMS had a high discriminatory ability on the training and test samples (C-statistic 0.91 (95% confidence interval (CI): 0.86-0.97)). When applied to the blinded validation samples, the C-statistic was 0.86 (0.75-0.97). For samples analyzed ≤7 days of collection (n=76), diagnostic accuracy was even higher (C-statistic: 0.93 (0.85-1.00)). A cutoff value of 0.32 for predicted probability corresponded with a sensitivity of 92.3% (95% CI: 77.4-98.6%) and specificity of 86.0% (78.3-89.3%). For even fresher samples, discriminatory ability further increased.
conclusionsFAIMS analysis of unprocessed stool samples can differentiate between C. difficile-positive and -negative samples with high diagnostic accuracy.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.