Testing stool samples for C difficile exotoxins A and B is frequently used to diagnose a C difficile infection, but clinicians need a greater understanding of what the results mean.

New-onset diarrhea is common among inpatients and residents of long-term care facilities.

Multidisciplinary diagnostic stewardship interventions can reduce blood culture and antibiotic use in the PICU. Future work will determine optimal strategies for wider-scale dissemination of diagnostic stewardship in this setting while monitoring patient safety and balancing measures.

Despite the known importance of Clostridioides (Clostridium) difficile infection (CDI) in animals, there are no published guidelines for the diagnosis of CDI. The performance of the available commercial methods, all standardized for human stool samples, can vary according to the animal species. Thus …

New-onset diarrhea was common among inpatients and LTCF-residents. Only one-third of patients with new-onset diarrhea had a stool specimen collected and tested for C. difficile-indicative of a potential for CDI underdiagnosis-although further studies are needed to confirm the extent of CDI underdiag …

Our cohort did not demonstrate a significant difference in outcomes between EIA(+) and EIA(-) C. difficile patients. Treatment for EIA(-) patients did not improve outcomes. Even though there may be a role for antibiotic therapy in IBD patients who test NAAT(+)/EIA(-) for C. difficile, …

“RT @FfitzP: Patients #cdiff experience- hopefully the first publication of many - reducing time to diagnosis key for out patients #ECCMID20…”

A quantitative PCR method was developed for the detection of Clostridioides difficile Chaperonin-60 gene. The method had a specificity for C. difficile strains of clinical and epidemiological importance and allowed for quantification of C. difficile cells and spores.

This study investigated the prevalence of Clostridioides difficile by culture, multiplex polymerase chain reaction (M-PCR), and loop mediated isothermal amplification (LAMP) in patients with suspected C. difficile infections (CDIs). Also, the results of three methods were compared. All stool specime …

“#cdiff community - looking for advise to quantitatively discriminate TcdA and TcdB. What cell lines are (near) exclusively sensitive to either one, and what is a good source of neutralizing anti-TcdA and anti-TcdB antibodies?”

Serum creatinine 1.5 mg/L, a high neutrophil ratio of blood leukocytes (75%), and the causative C. difficile harboring the tcdC gene was independent prognostic predictors in hospitalized adults with CDI.

The multiplex PCR assay revealed that C. perfringens was the most common diarrhea-causing pathogen. In addition, in patients with suspected CDI, the multiplex PCR assay alone was insufficiently sensitive to detect pathogens and a conventional CDI test was additionally required.

There was an independent association between in-hospital mortality and a neutrophil ratio greater than 75%, serum creatinine of at least 1.5 mg/L, and CDI caused by isolates harboring the tcdC gene.

The molecular multiplex panel is designed to detect 16 pathogens associated with gastrointestinal infections in stool samples.

Microbiotica has some more funds to work with — $67 million more. The quiet microbiome therapeutics spinout with 48 employees announced its Series B earlier this morning, which was co-led by Swedish investor Flerie Invest alongside Chinese multinational conglomerate Tencent. Other investors hopped onto the round, including new investor British

Researchers conducted a study to determine whether computerized clinical decision support systems decrease the rate of unnecessary testing for Clostridioides difficile infection.

Clostridioides difficile is an urgent threat in hospital-acquired infections world-wide, yet the microbial composition associated with C. difficile, in particular in C. difficile infection (CDI) cases, remains poorly characterised. Here, we analysed 534 metagenomes from 10 publicly available CDI study populations. While we detected C. difficile in only 30% of CDI samples, multiple other toxigenic species capable of inducing CDI-like symptomatology were prevalent, raising concerns about CDI overdiagnosis. We further tracked C. difficile in 42,814 metagenomic samples from 253 public studies. We found that C. difficile prevalence, abundance and association with other bacterial species is age-dependent. In healthy adults, C. difficile is a rare taxon associated with an overall species richness reduction, while in healthy infants C. difficile is a common member of the gut microbiome and its presence is associated with a significant increase in species richness. More specifically, we identified a group of species co-occurring with C. difficile exclusively in healthy infants, enriched in obligate anaerobes and in species typically found in the gut microbiome of healthy adults. Overall, gut microbiome composition in presence of C. difficile in healthy infants is associated with multiple parameters linked to a healthy gut microbiome maturation towards an adult-like state. Our results suggest that C. difficile is a commensal in infants, and that its asymptomatic carriage is dependent on the surrounding microbial context. ### Competing Interest Statement The authors have declared no competing interest.

Clostridioides difficile is the most common cause of antibiotic-associated gastrointestinal infections. Capillary electrophoresis (CE)-PCR ribotyping is currently the gold standard for C. difficile typing but lacks the discriminatory power to study ...

This study provides useful evidence on the current status of CDI laboratory diagnosis in Korea as well as on items that require improvement and is thought to aid in standardizing and improving the CDI laboratory diagnosis in Korea.

Background In the pediatric population, severe Clostridioides difficile infection (CDI) sometimes occurs, but most cases are asymptomatic. The asymptomatic carriage rate in pediatric populations is reportedly higher than in the adult population. It is difficult to diagnose CDI, even if C. difficile is detected in children with diarrhea. This study aimed to evaluate the positivity rate of toxigenic C. difficile in the pediatric population with diarrhea. Methods We collected and retrospectively analyzed gastrointestinal pathogen multiplex PCR results of 960 patients to estimate the positivity rate of toxigenic C. difficile in pediatric populations aged between 0 and 18 years. Results The overall rate of C. difficile toxin B positivity was 10.1% in the stool samples. The positivity rate peaked in 1-year-old infants (29/153, 19.0%) and continually decreased thereafter. The positivity rate we observed was lower than the rates described in the literature. Remarkably, no C. difficile was detected in neonates. Antibiotic usage was inversely related to the positivity rate, especially in infants 2 years of age. The odds ratio of antibiotics was 0.44 (95% confidence interval (CI) 0.28–0.68; P 0.001). The presence of concomitant gastrointestinal pathogens was not associated with toxigenic C. difficile positivity. Conclusions Even though toxigenic C. difficile infection is neither an important nor a common cause of pediatric diarrhea, children can spread it to adults at risk of developing CDI. The pediatric population can act as hidden reservoirs for pathogenic strains in the community.

Even though toxigenic C. difficile infection is neither an important nor a common cause of pediatric diarrhea, children can spread it to adults at risk of developing CDI. The pediatric population can act as hidden reservoirs for pathogenic strains in the community.

Clinical Care Options (CCO) commentary from Dr. Sahil Khanna regarding guideline changes for the diagnosis and treatment of C difficile infection

Due to costs, it is difficult to screen for and diagnose patients with C difficile infections.

Clinical Care Options (CCO) commentary from Dr. Sahil Khanna regarding guideline changes for the diagnosis and treatment of C difficile infection

Due to costs, it is difficult to screen for and diagnose patients with C difficile infections.

MLAs can predict future CDI in hospitalized patients using just 6 hours of data. In clinical practice, a machine-learning based tool may support prophylactic measures, earlier diagnosis, and more timely implementation of infection control measures.