'Does this fecal microbiota transplant work?' Quality assurance of capsule based fecal microbiota transplant production.

BACKGROUND: Fecal Microbiota Transplant (FMT) is an effective treatment for recurring Clostridioides Difficile Infections (rCDI). FMT administered via oral capsules (caFMT) offers several practical advantages to conventional liquid FMT. We began using caFMT in 2021 imported from an external institution. Based on similar production methods, we began our own caFMT production in 2022. We aimed to evaluate the quality of our caFMT. STUDY DESIGN AND METHODS: We created a database of all FMT treatments (n = 180) provided by our institution. Quality of all FMT was evaluated by treatment success rates. We compared our caFMT to the imported caFMT. RESULTS: Our caFMT yielded similar success rates compared to that of the imported caFMT, 65% (CI 95% 58-72%) and 72% (CI 95% 66-79%) respectively. FMT administered via colonoscopy had a significantly higher success rate, 79% (CI 95% 73-85%) than own our caFMT and other routes of administration. The combined success rate of treatments increased notably for all routes of administration when repeating FMT after prior failure. DISCUSSION: The fact that our caFMT compared similarly to the imported caFMT was viewed as a success in terms of quality assurance. Our caFMT had a slightly lower success rates compared to data from other studies, but could be affected by several other factors than our FMT-production methods. A lower success rate of caFMT compared to FMT via colonoscopy is acceptable due to the practical advantages offed by caFMT. Our study serves as a practical example, proving that of the standardization of caFMT production is indeed viable.

Rational Design of Live Biotherapeutic Products for the Prevention of Clostridioides difficile Infection.

Clostridioides difficile infection (CDI) is a major cause of healthcare- and antibiotic-associated diarrhea. While fecal microbiota transplantation (FMT) shows promise for recurrent CDI, its mechanisms and long-term safety are not fully understood. Live biotherapeutic products (LBPs) using pre-defined bacterial consortia offer an alternative option, but the rational designing LBPs remains challenging. Here, we employ a computational pipeline and three metagenomic datasets to identify microbial strains for LBPs targeting CDI. We constructed the CDI-related microbial genome catalog, comprising 3,741 non-redundant metagenome-assembled genomes (nrMAGs) and identified multiple potential protective nrMAGs, including strains from Dorea formicigenerans, Oscillibacter welbionis, and Faecalibacterium prausnitzii. Importantly, some of these protective nrMAGs were found to play an important role in FMT success, and most top protective nrMAGs can be validated by various previous findings. Our results demonstrate a framework for selecting microbial strains targeting CDI, paving the way for the computational design of LBPs against other enteric infections.

[Clostridioides difficile infection diagnosed by nucleic acid amplification test in a patient with Epstein-Barr Virus-related T-cell lymphoproliferative disorder].

Steroid usage poses a risk of Clostridioides difficile infection (CDI), but high-dose corticosteroid treatment can lead to false-negative CD toxin test results. Moreover, CDI-induced nausea can complicate administration of oral antibiotics, which are typically the primary therapy for CDI. In the present case, a 43-year-old woman diagnosed with EBV-associated T-cell post-transplant lymphoproliferative disorder developed CDI during treatment with cyclophosphamide, doxorubicin, vincristine, and prednisolone (CHOP). Following five cycles of CHOP, the patient presented with nausea and diarrhea. CT scans revealed swelling in the ileocecal to transverse area of the colon. While the glutamate dehydrogenase (GDH) antigen test result was positive, the CD toxin test result was negative. However, the nucleic amplification test (NAAT) result was positive, confirming the diagnosis of CDI. Oral treatment with fidaxomicin was initially impractical due to persistent nausea. Instead, treatment began with intravenous metronidazole, and was later switched to fidaxomicin pills. Symptoms improved notably within 10 days, and the patient ultimately made a complete recovery. This case underscores the significance of exploring alternative approaches to CDI management, particularly in immunosuppressed patients.

Analysis of factors affecting the length of hospitalization of patients with Clostridioides difficile infection: a cross-sectional study.

BACKGROUND: Clostridioides difficile infection (CDI) is an infectious disease caused by the gram-positive, anaerobic bacterium C. difficile. The vulnerable populations for CDI include the elderly, immunocompromised individuals, and hospitalized patients, especially those undergoing antimicrobial therapy, which is a significant risk factor for this infection. Due to its complications and increased resistance to treatment, CDI often leads to longer hospital stays. This study aimed to determine the average length of hospital stay (LOS) of Polish patients with CDI and to identify factors affecting the LOS of infected patients. METHODS: The study analyzed medical records of adult patients treated with CDI in one of the biggest clinical hospitals in Poland between 2016-2018. Information encompassed the patient's age, LOS results of selected laboratory tests, number of antibiotics used, nutritional status based on Nutritional Risk Screening (NRS 2002), year of hospitalization, presence of diarrhea on admission, systemic infections, additional conditions, and undergone therapies. The systematic collection of these variables forms the foundation for a comprehensive analysis of factors influencing the length of stay. RESULTS: In the study period, 319 patients with CDI were hospitalized, with a median LOS of 24 days (min-max = 2-344 days). The average LOS was 4.74 days in 2016 (median = 28 days), 4.27 days in 2017 (median = 24 days), and 4.25 days in 2018 (median = 23 days). There was a weak negative correlation (Rho = -0.235, p < 0.001) between albumin level and LOS and a weak positive correlation between NRS and LOS (Rho = 0.219, p < 0.001). Patients admitted with diarrhea, a history of stroke or pneumonia, those taking certain antibiotics (penicillins, cephalosporins, carbapenems, fluoroquinolones, aminoglycosides, colistin), and those using proton pump inhibitors, exhibited longer hospitalizations (all p < 0.001) or unfortunately died (p = 0.008). None of the individual predictors such as albumin level, Nutritional Risk Screen, pneumonia, stroke, and age showed a statistically significant relationship with the LOS (p > 0.05). However, the multivariate regression model explained a substantial portion of the variance in hospitalization length, with an R-squared value of 0.844. CONCLUSIONS: Hospitalization of a patient with CDI is long. Low albumin levels and increased risk of malnutrition were observed in longer hospitalized patients. Longer hospitalized patients had pneumonia, stroke, or surgery, and were admitted for a reason other than CDI.

Gut Microbial and Metabolic Features Associated With Clostridioides difficile Infection Recurrence in Children.

Background: Recurrent Clostridioides difficile infection (CDI) is a critical clinical issue due to the increase in incidence and difficulty in treatment. We aimed to identify gut microbial and metabolic features associated with disease recurrence in a group of pediatric CDI patients. Methods: A total of 84 children with primary CDI were prospectively enrolled in the study. Fecal samples collected at the initial diagnosis were subjected to 16S rRNA gene sequencing and targeted metabolomics analysis to profile the bacterial composition and metabolome. Results: Twenty-six of 84 (31.0%) pediatric CDI patients experienced recurrence. The alpha diversity of the fecal microbiota was significantly lower in the recurrent group than in the nonrecurrent group, and the beta diversity was different from that of the nonrecurrent group. Taxonomic profiles revealed that the relative abundances of multiple bacterial taxa significantly differed between the recurrent and nonrecurrent groups. Linear discriminant analysis effect size analysis identified several bacterial genera that discriminated between recurrent and nonrecurrent groups, including Parabacteroides, Coprococcus, Dialister, and Clostridium. Recurrent bacteria presented lower abundances of several short-chain fatty acid (SCFA)-producing bacteria (Faecalibacterium, Butyricicoccus, Clostridium, Roseburia, and Ruminococcus), which were correlated with reduced fecal SCFA levels. In addition, several bile acids, including lithocholic acid (LCA), 12-ketoLCA, trihydroxycholestanoic acid, and deoxycholic acid, were decreased in recurrent patients. Conclusions: Our study suggests that the differing gut microbiota profiles in pediatric CDI patients may contribute to disease recurrence by modulating SCFA concentrations and bile acid profiles. The gut microbiota and metabolite signatures may be used to predict disease recurrence in children with CDI.

Efficacy and safety of a preventive strategy against tuberculosis in liver transplantation recipients including the treatment of latent infection with moxifloxacin.

BACKGROUND: Preventive management of tuberculosis in liver transplantation (LT) is challenging due to difficulties in detecting and treating latent tuberculosis infection (LTBI). The aim of this study was to analyze the safety and efficacy of a screening strategy for LTBI with the inclusion of moxifloxacin as treatment. METHODS: We performed a retrospective single-center study of all LTs performed between 2016 and 2019 with a minimum 4-year follow-up and a standardized protocol for the evaluation of LTBI. RESULTS: Pretransplant LTBI screening was performed in 191/218 (87.6%) patients, and LTBI was diagnosed in 27.2% of them. Treatment for LTBI was administered to 71.2% of the patients and included moxifloxacin in 75.6% of the cases. After a median follow-up of 1628 days, no cases of active tuberculosis occurred among moxifloxacin-treated patients. The incidence of Clostridioides difficile (0.46 vs. 0.38 episodes/1000 transplant-days; p =  .8) and multidrug-resistant gram-negative bacilli infection (0 vs. 0.7 episodes per 1000 transplant-days; p =  .08) were not significantly higher in comparison to patients who did not receive moxifloxacin. CONCLUSION: A preventive strategy based on systematic LTBI screening and moxifloxacin treatment before LT in positive cases appears safe and effective in preventing the development of tuberculosis in LT recipients. However, our findings are limited by a small sample size; thus, larger studies are required to validate our observations.

Comparative effectiveness of vancomycin and metronidazole on event-free survival after initial infection in patients with Clostridioides difficile-a German multicentre cohort study.

OBJECTIVES: The objective of this study is to examine the comparative effectiveness of vancomycin and metronidazole in a confirmatory analysis of event-free survival (EFS) after initial infection in patients with Clostridioides difficile from a German multicentre cohort study. METHODS: The IBIS multicentre cohort enrolled patients with an index episode of C. difficile infection between August 2017 and September 2020. The primary endpoint was EFS, defined as response to treatment with metronidazole or vancomycin within 10 days of initiation, absence of recurrence and death from any cause up to 90 days post-treatment. A Cox proportional hazards model with inverse probability of treatment weighting was used to investigate the comparative effectiveness of this outcome. Additionally, subgroup analyses were performed based on severe and non-severe infections. RESULTS: Of the 489 patients included, 118 (24%) received initial treatment with metronidazole and 371 (76%) with vancomycin. Of these, 78/118 (66.1%) and 247/371 (66.6%), respectively, responded to treatment within 10 days, neither developed a recurrence nor died within 90 days and thus achieved the outcome of EFS. In the subgroup of non-severe infections, 74/293 patients (25.3%) received metronidazole, and 219/293 (74.7%) received vancomycin. Of these, 33/74 (44.6%) metronidazole patients and 150/219 (68.5%) vancomycin patients survived event free. The Cox proportional hazards model revealed differences in EFS for the overall population and both subgroups (reference metronidazole: all severity levels: hazard ratio [HR] 0.46, [95% CI, 0.33-0.65]; non-severe: HR 0.39; [95% CI, 0.24-0.60]; severe: HR 0.52; [95% CI, 0.28-0.95]). DISCUSSION: Our analysis confirms current changes in guidelines, as it supports the superiority of vancomycin compared with metronidazole across all severity levels.

Vonoprazan-associated Clostridioides difficile infection: an analysis of the Japanese Adverse Drug Event Report and the FDA Adverse Event Reporting System.

Background: Prolonged or excessive use of acid suppressants may increase the risk of Clostridioides difficile infection (CDI) by altering the intestinal microecosystem. Vonoprazan, a novel potassium-competitive acid blocker, exhibits a faster and more sustained acid-suppressive effect than proton pump inhibitors (PPIs). Therefore, vonoprazan may have a greater impact on the gut microbiota, potentially resulting in CDI. Objectives: This study aimed to explore the potential relationship between acid suppressants and CDI by the Japan Adverse Drug Event Report (JADER) and the FDA Adverse Event Reporting System (FAERS) databases. Design: A retrospective analysis of the JADER and FAERS databases was examined by disproportionality analysis. Methods: We performed signal detection analyses of CDI induced by vonoprazan and PPIs using the JADER and FAERS databases. The association between acid suppressants and CDI was calculated using the reporting odds ratio (ROR) and corresponding 95% confidence interval (95% CI). When the lower limit of the 95% CI is exceeded by 1, the association is considered statistically significant. Results: In the JADER database, the ROR (95% CI) for vonoprazan and PPIs based on suspect drug reports was 15.84 (12.23-20.50) and 2.51 (1.92-3.28), respectively. In the FAERS database, the ROR (95% CI) for vonoprazan and PPIs based on primary and secondary suspect drug reports was 11.50 (6.36-20.82) and 1.42 (1.34-1.51), respectively. Subgroup analysis showed that elderly patients aged 60 years and older were more strongly associated with CDI. The ROR (95% CI) for vonoprazan and PPIs in patients aged 60 years and older in the JADER database was 15.35 (11.59-20.33) and 1.65 (1.14-2.39), respectively. Similarly, the ROR (95% CI) for vonoprazan and PPIs in the FAERS database was 12.56 (6.26-25.20) and 1.43 (1.31-1.57), respectively. Excluding the effect of Helicobacter pylori (H. pylori) infection, the use of acid suppressants was still associated with CDI. Conclusion: While signal detection analysis based on the JADER and FAERS databases could not establish causality, our study demonstrated that both vonoprazan and PPIs were significantly associated with CDI. Vonoprazan showed a stronger association with CDI in both databases.

Introduction: Vonoprazan is a new type of acid suppressant, which has a stronger effect on acid inhibition than traditional proton pump inhibitors (PPIs). Vonoprazan may have a greater impact on the gut microbiota, which may increase the risk of Clostridioides difficile infection (CDI). The FDA created the FDA Adverse Event Reporting System (FAERS) database to support the post-market surveillance program. The PMDA created the Japan Adverse Drug Reaction Event Report (JADER) database to specifically collect adverse reaction reports in Japan. To further understand the potential relationship between acid suppressants and CDI, this study was analyzed using the JADER and FAERS databases. Methods: This study analyzed cases of CDI reported after the use of acid suppressants in the JADER and FAERS databases. Results: The analysis revealed that vonoprazan and PPIs are significantly associated with CDI in both databases. Notably, vonoprazan exhibited a stronger association compared to PPIs. Subgroup analysis indicated that this association was more pronounced in elderly patients aged 60 years and older. Additionally, excluding the influence of Helicobacter pylori (H. pylori) did not diminish the association between acid suppressants and CDI. Conclusion: Although signal detection analysis based on the JADER and FAERS databases could not establish causality, the results showed that both vonoprazan and PPIs were significantly associated with CDI. Vonoprazan was also more strongly associated with CDI than PPIs, which could be a potential safety concern, and further clinical studies are needed to confirm this finding.

Vonoprazan and Clostridioides difficile infection risk.

Microbiome and Metabolome Restoration After Administration of Fecal Microbiota, Live-jslm (REBYOTA®) for Preventing Recurrent Clostridioides difficile Infection.

BACKGROUND: Microbiota-based treatments are effective in preventing recurrent Clostridioides difficile infection (rCDI). Fecal microbiota, live-jslm (REBYOTA®; RBL, previously RBX2660) was shown to prevent rCDI in a phase 3, randomized, double-blinded placebo controlled clinical trial (PUNCH™ CD3). METHODS: Stool samples from participants in PUNCH™ CD3 who received a single blinded dose of rectally administered RBL or placebo were sequenced to determine microbial community composition and calculate the Microbiome Health Index for post-antibiotic dysbiosis (MHI-A). The composition of bile acids (BAs) in the same samples was quantified by liquid chromatography mass spectrometry. Relationships between BA composition and microbiota community structure and correlations with treatment outcomes were assessed. RESULTS: Before administration, Gammaproteobacteria and Bacilli dominated the microbiota community and primary BAs were more prevalent than secondary BAs. Clinical success after administration correlated with shifts to predominantly Bacteroidia and Clostridia, a significant increase in MHI-A, and a shift from primary to secondary BAs. Several microbiota and BA changes were more extensive in RBL-treated responders compared to placebo-treated responders, and microbiota changes correlated with BA changes. CONCLUSIONS: Clinical response and RBL administration were associated with significant restoration of microbiota and BA composition. CLINICAL TRIALS REGISTRATION: NCT03244644.

Public health case for microbiome-sparing antibiotics and new opportunities for drug development.

Although antibiotics remain a cornerstone of modern medicine, the issues of widespread antibiotic resistance and collateral damage to the microbiome from antibiotic use are driving a need for drug developers to consider more tailored, patient-directed products to avoid antibiotic-induced perturbations of the structure and function of the indigenous microbiota. This perspective summarizes a cascade of microbiome health effects that is initiated by antibiotic-mediated microbiome disruption at an individual level and ultimately leads to infection and transmission of multidrug-resistant pathogens across patient populations. The scientific evidence behind each of the key steps of this cascade is presented. The interruption of this cascade through the use of highly targeted, microbiome-sparing antibiotics aiming to improve health outcomes is discussed. Further, this perspective reflects on some key clinical trial design and reimbursement considerations to be addressed as part of the drug development path.

Prediction of 28-Day All-Cause Mortality in Heart Failure Patients with Clostridioides difficile Infection Using Machine Learning Models: Evidence from the MIMIC-IV Database.

INTRODUCTION: Heart failure (HF) may induce bowel hypoperfusion, leading to hypoxia of the villa of the bowel wall and the occurrence of Clostridioides difficile infection (CDI). However, the risk factors for the development of CDI in HF patients have yet to be fully illustrated, especially because of a lack of evidence from real-world data. METHODS: Clinical data and survival situations of HF patients with CDI admitted to ICU were extracted from the Medical Information Mart for Intensive Care (MIMIC)-IV database. For developing a model that can predict 28-day all-cause mortality in HF patients with CDI, the Recursive Feature Elimination with Cross-Validation (RFE-CV) method was used for feature selection. And nine machine learning (ML) algorithms, including logistic regression (LR), decision tree, Bayesian, adaptive boosting, random forest (RF), gradient boosting decision tree, XGBoost, light gradient boosting machine, and categorical boosting, were applied for model construction. After training and hyperparameter optimization of the models through grid search 5-fold cross-validation, the performance of models was evaluated by the area under curve (AUC), accuracy, sensitivity, specificity, precision, negative predictive value, and F1 score. Furthermore, the SHapley Additive exPlanations (SHAP) method was used to interpret the optimal model. RESULTS: A total of 526 HF patients with CDI were included in the study, of whom 99 cases (18.8%) experienced death within 28 days. Eighteen of the 57 variables were selected for the model construction algorithm for model construction. Among the ML models considered, the RF model emerged as the optimal model achieving the accuracy, F1-score, and AUC values of 0.821, 0.596, and 0.864, respectively. The net benefit of the model surpassed other models at 16%-22% threshold probabilities based on decision curve analysis. According to the importance of features in the RF model, red blood cell distribution width, blood urea nitrogen, Simplified Acute Physiology Score II, Sequential Organ Failure Assessment, and white blood cell count were highlighted as the five most influential variables. CONCLUSIONS: We developed ML models to predict 28-day all-cause mortality in HF patients associated with CDI in the ICU, which are more effective than the conventional LR model. The RF model has the best performance among all the ML models employed. It may be useful to help clinicians identify high-risk HF patients with CDI.

Healthcare-associated infections and antimicrobial resistance in Canadian acute care hospitals, 2018-2022.

Background: Healthcare-associated infections (HAIs) and antimicrobial resistance (AMR) continue to contribute to excess morbidity and mortality among Canadians. Objective: This report describes epidemiologic and laboratory characteristics and trends of HAIs and AMR from 2018 to 2022 (Candida auris, 2012-2022) using surveillance and laboratory data submitted by hospitals to the Canadian Nosocomial Infection Surveillance Program (CNISP) and by provincial and territorial laboratories to the National Microbiology Laboratory. Methods: Data collected from 88 Canadian sentinel acute care hospitals between January 1, 2018, and December 31, 2022, for Clostridioides difficile infections (CDIs), carbapenemase-producing Enterobacterales (CPE) infections, methicillin-resistant Staphylococcus aureus (MRSA) bloodstream infections (BSIs) and vancomycin-resistant Enterococcus (VRE) BSIs. Candida auris (C. auris) surveillance was initiated in 2019 by CNISP and in 2017 (retrospectively to 2012) by the National Microbiology Laboratory. Trend analysis for case counts, rates, outcomes, molecular characterization and AMR profiles are presented. Results: From 2018 to 2022, decreased rates per 10,000 patient days were observed for CDIs (7% decrease; 5.42-5.02) and MRSA BSIs (2.9% decrease; 1.04-1.01). Infection rates for VRE BSIs increased by 5.9% (0.34-0.36). Infection rates for CPE remained low but increased by 133% (0.06-0.14). Forty-three C. auris isolates were identified in Canada from 2012 to 2022, with the majority in Western and Central Canada (98%). Conclusion: From 2018 to 2022, the incidence of MRSA BSIs and CDIs decreased and VRE BSI and CPE infections increased in the Canadian acute care hospitals participating in a national sentinel network (CNISP). Few C. auris isolates were identified from 2012 to 2022. Reporting standardized surveillance data to inform the application of infection prevention and control practices in acute care hospitals is critical to help decrease the burden of HAIs and AMR in Canada.

Risk of Clostridioides difficile infection following different antibiotics: insights from multi-source medical data.

OBJECTIVE: Antibiotic utilization stands as the strongest modifiable determinant for Clostridioides difficile infection (CDI). However, previous studies have relied on aggregated antibiotic categories, leaving prescribers without detailed comparative risk information for individual antibiotics. The objective of this study was to estimate the risk of CDI comprehensively across specific antibiotics. METHODS: Two methodologies were integrated to access and rank the risk of CDI associated with individual antibiotics or classes. Initially, a network comparison was conducted by analysing data from randomized controlled trials (RCTs). Subsequently, a real-world disproportionality analysis using the Food and Drug Adverse Event Reporting System (FAERS) database complemented and enriched the findings from RCTs. RESULTS: The network comparison, encompassing 61 RCTs with 25,931 patients, revealed that exposure to cefepime [odds ratio (OR) 2.56, 95% confidence interval (CI) 1.20-5.44; P=0.02] and imipenem/cilastatin (OR 3.86, 95% CI 1.61-9.29; P=0.003) exhibited higher frequencies of CDI compared with piperacillin/tazobactam. No significant differences were observed between the carbapenems, albeit a trend indicating higher incidence of CDI with imipenem/cilastatin compared with meropenem (OR 3.89, 95% CI 0.94-16.09). In the FAERS disproportionality analysis, nearly all antibiotics displayed associations with CDI, and CDI risk signals often clustered within the majority of antibiotic classes. Among these, lincomycin demonstrated the strongest association (OR 112.17, 95% CI 51.68-243.43). Additionally, oral third-generation cephalosporins tended to exhibit higher CDI risk signals than other antibiotics. CONCLUSIONS: The findings unveiled substantial diversity in the risk of CDI, both within and between antibiotic classes, providing valuable guidance for clinicians in antibiotic prescription decisions and for initiatives aimed at antibiotic stewardship.

Predicting Clostridioides difficile infection outcomes with explainable machine learning.

BACKGROUND: Clostridioides difficile infection results in life-threatening short-term outcomes and the potential for subsequent recurrent infection. Predicting these outcomes at diagnosis, when important clinical decisions need to be made, has proven to be a difficult task. METHODS: 52 clinical features from existing models or the literature were collected retrospectively within ±48 h of diagnosis among 1660 inpatient infections. A modified desirability of outcome ranking (DOOR) was designed to encompass clinically-important severe events attributable to the acute infection (intensive care transfer due to sepsis, shock, colectomy/ileostomy, mortality) and/or 60-day recurrence. A deep neural network was constructed and interpreted using SHapley Additive exPlanations (SHAP). High-importance features were used to train a reduced, shallow network and performance was compared to existing conventional models (7 severity, 7 recurrence; after summing DOOR probabilities to align with conventional binary outputs) using area under the ROC curve (AUROC) and DeLong tests. FINDINGS: The full (52-feature) model achieved an out-of-sample AUROC 0.823 for severity and 0.678 for recurrence. SHAP identified 13 unique, highly-important features (age, hypotension, initial treatment, onset, PCR cycle threshold, number of prior episodes, antibiotic exposure, fever, hypotension, pressors, leukocytosis, creatinine, lactate) that were used to train a reduced model, which performed similarly to the full model (severity AUROC difference P = 0.130; recurrence P = 0.426) and significantly better than the top severity model (reduced model predicting severity 0.837, ATLAS 0.749; P = 0.001). The reduced model also outperformed the top recurrence model, but this was not statistically-significant (reduced model recurrence AUROC 0.653, IDSA Recurrence Risk Criteria 0.595; P = 0.196). The final, reduced model was deployed as a web application with real-time SHAP explanations. INTERPRETATION: Our final model outperformed existing severity and recurrence models; however, it requires external validation. A DOOR output allows specific clinical questions to be asked with explainable predictions that can be feasibly implemented with limited computing resources. FUNDING: National Institutes of Health-Institute of Allergy and Infectious Diseases.

Efficacy of Fecal Microbiota, Live-jslm (REBYOTA®), Among Patients Exposed to Non-Clostridioides difficile Infection Antibiotics: Post Hoc Subgroup Analysis of a Phase 2 Open-Label Study.

Background: Antibiotic use is a major risk factor for recurrent Clostridioides difficile infection (CDI) due to the associated disruption in gut microbiota. Fecal microbiota, live-jslm (REBYOTA®; RBL, previously RBX2660), is the first microbiota-based live biotherapeutic approved by the US Food and Drug Administration to prevent recurrent CDI in adults following standard-of-care antibiotic treatment. To investigate the impact of non-CDI antibiotics on the durability of RBL, a subgroup analysis was conducted on PUNCH™ Open-Label study participants who received non-CDI antibiotics during the period between RBL administration and up to 2 years after. Methods: Participants in PUNCH™ Open-Label who received non-CDI antibiotics after RBL administration were included in this subgroup analysis. Treatment response was defined as the absence of CDI diarrhea needing retreatment at the last evaluable time point (8 weeks, 6 months, 1 year, or 2 years) after RBL administration. Results: Among participants from PUNCH™ Open-Label, 43 received non-CDI antibiotics after RBL administration but before CDI recurrence as evaluated over a 2-year period. Across all evaluable time points, 86% (37/43) of participants had a treatment response regardless of when non-CDI antibiotic exposure occurred. Treatment response was sustained for a median 470 days (IQR, 212-648) from the first day of non-CDI antibiotic use. Most participants (5/6) with CDI recurrences received a high-risk antibiotic. Conclusions: RBL remained efficacious in participants with a history of recurrent CDI after subsequent non-CDI antibiotic exposure. Clinical Trials Registration: NCT02589847 (https://clinicaltrials.gov/study/NCT02589847).

Clinical characteristics of community-onset Clostridioides difficile infections at a tertiary hospital in mainland China: A fourteen-year (2010-2023) retrospective study.

BACKGROUND: Clostridioides difficile infection (CDI) is an increasingly common disease in healthcare facilities and community settings. However, there are limited reports of community-onset CDI (CO-CDI) in China. METHODS: We collected diarrheal stool samples from 3885 patients who went to outpatient department or emergency department in a tertiary hospital in China during 2010-2023, analyzed the correlation between patients' basic information and the detection rate of CDI. Besides, all stool samples from 3885 outpatients included were tested by culturing. Moreover, we randomly selected 89 patients' stools during the 14 years and isolated 126 C. difficile strains from them. The presence of toxin genes (tcdA, tcdB, cdtA, and cdtB) were confirmed by PCR. Toxigenic strains were typed using multilocus sequence typing (MLST). Susceptibility to 9 antimicrobials was evaluated using the E-test. RESULTS: 528 of 3885 patients (13.6 %) with diarrhea were finally diagnosed as CDI. The median age of patients included was 51 years (6 months-95 years), while the median of patients with CDI was older than patients with negative results [55.5 years (6 months-93 years) vs. 50 years (9 months -95 years), p < 0.001]. In winter, patients with diarrhea might be more likely to have CDI. The detection rate of CDI of patients in emergency department was much higher than those in other outpatients (20.7 % vs. 12.4 %, p < 0.001), and did differ from each outpatient departments (p < 0.05). There were 95 isolated strains detected as toxigenic C. difficile. Among these strains, 82 (86.3 %) had the tcdA and tcdB genes (A+B+) and 5 of these 82 strains were positive for the binary toxin genes (cdtA and cdtB) (A+B+CDT+). There were 15 different sequence types (STs) by multilocus sequence typing (MLST), while the most ST was ST-54 (23.2 %). ST types composition was relatively stable over the time span of this study. Some strains had high resistance to ciprofloxacin, clindamycin, and erythromycin. Twenty-three isolates (24.2 %) were multidrug-resistant. CONCLUSIONS: Outpatients with CDI were common among patients having diarrhea during this period in our hospital. Elderly patients and patients went to emergency department may be susceptible to CDI. Based on MLST, the result revealed that the C. difficile isolates had high genetic diversity and maintained stability in this period. All isolates were susceptible to metronidazole and vancomycin, and nearly one quarter of all isolates had multidrug resistance.

Duration from start of antibiotic exposure to onset of Clostridioides difficile infection for different antibiotics in a non-outbreak setting.

BACKGROUND: Antibiotic treatment is a well-known risk factor for Clostridioides difficile infection (CDI). The time from start of antibiotic exposure to onset of CDI for different antibiotics is sparsely studied. CDI with onset in the community is often treatable without in-hospital care while CDI patients treated in hospital need isolation, resulting in higher costs and infection control measures. OBJECTIVES: To determine the time from start of antibiotic exposure to onset of healthcare facility-associated CDI for different antibiotics. METHODS: Time between antibiotic exposure and disease onset was evaluated retrospectively with chart reading in a two-centre Swedish setting. A case was attributed to an antibiotic group if this represented more than 2/3 of total antibiotic exposure 30 days before onset of CDI. RESULTS: Cephalosporins caused CDI faster (mean 7.6 days), and more often during ongoing antibiotic therapy (81% of the cases) than any other antibiotic group. All other common agents had between 2-3 times longer period between start of exposure to onset of CDI (quinolones more than 3 times). CONCLUSIONS: The time gap between antibiotic exposure and onset of CDI is markedly different between different antibiotics. Decreased cephalosporin use could delay onset of healthcare facility-associated CDI and limit infections with onset within the hospital. This might decrease costs for inpatient care, need of infection control measures and shortage of beds in the hospital.

Impact of an Intervention Program on Clostridioides difficile Infections: Comparison of 2 Hospital Cohorts.

Background: Clostridioides difficile infection (CDI) occurs in various contexts and care settings and is managed by multiple specialists who are not experts in its management. While there are many initiatives to improve the diagnosis and avoid overdiagnosis, there is less focus on the overall management of the infection. Methods: We studied a cohort of patients with a positive test result for toxigenic C difficile in 2 hospitals. Hospital A has a program that provides advice from an infectious disease specialist (IDS) and promotes continuity of care by providing a phone number to contact the IDS. Hospital B does not have any specific CDI program. The evaluation assessed the proportion of patients not treated (carriers or self-limited disease), adherence to Infectious Diseases Society of America guidelines, access to novel therapies, recurrence and mortality rates, and readmission and emergency department visits due to CDI. We assessed the program's effectiveness through a logistic regression model adjusted for covariates chosen by clinical criteria. Results: Hospital A avoided more unnecessary treatments (19.3% vs 11.5%), provided access to novel therapies more frequently (35.3% vs 13%), and adhered more closely to current guidelines (95.8% vs 71.3%). Although the mortality and recurrence rates did not differ, the absence of an intervention program was associated with greater odds of admission due to recurrence (odds ratio, 4.19; P = .037) and more visits to the emergency department due to CDI (odds ratio, 8.74; P = .001). Conclusions: Implementation of a CDI intervention program based on recommendations from IDSs and improved access to specialized care during the follow-up is associated with enhanced quality of CDI management and potential reductions in hospital resource utilization.