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1.
Nurse Pract ; 49(8): 14-19, 2024 Aug 01.
Article in English | MEDLINE | ID: mdl-39049147

ABSTRACT

ABSTRACT: Infections from Clostridioides difficile (often called C. diff) have long presented challenges for both patients and clinicians. Traditionally, C. diff has been considered a nosocomial infection, but in recent years, a noticeable spike in community-acquired cases has occurred. C. diff infection (CDI) testing is often complicated, as various testing options with differing sensitivity and specificity for active infection are available. Also, recent guideline changes have altered the recommended treatment of infection. This article discusses recent changes to both the diagnosis and management of CDI and how they can be applied to everyday NP practice.


Subject(s)
Clostridioides difficile , Clostridium Infections , Nurse Practitioners , Humans , Clostridium Infections/diagnosis , Clostridium Infections/drug therapy , Clostridioides difficile/isolation & purification , Practice Guidelines as Topic , Cross Infection , Anti-Bacterial Agents/therapeutic use , Nursing Diagnosis
2.
WMJ ; 123(3): 213-217, 2024 Jul.
Article in English | MEDLINE | ID: mdl-39024150

ABSTRACT

INTRODUCTION: Uterine clostridial myonecrosis is a rare infection associated with a high mortality rate. This report presents 2 cases of maternal mortality resulting from peripartum clostridial myonecrosis of the uterus. CASE PRESENTATION: Case 1 is a 30-year-old woman (nullipara) who presented in labor at term with an intra-amniotic infection and fetal demise. She rapidly developed septic shock, and cesarean hysterectomy was performed for a suspected necrotizing uterine infection later identified to be Clostridium septicum. Case 2 is an adolescent who presented in septic shock following first trimester medication abortion and died during emergent exploratory laparotomy; cultures grew Clostridium sordellii. Both patients expired within 18 hours of hospital admission. DISCUSSION: Given the rapidly progressive course of clostridial infections, maintaining a high index of suspicion is imperative for ensuring timely diagnosis and effective treatment. Prompt recognition of clinical features associated with clostridial myonecrosis - abdominal pain, tachycardia, leukocytosis and hyponatremia - is essential in preventing mortality. The utilization of point-of-care ultrasound may expedite the diagnosis of uterine myonecrosis. When uterine myonecrosis is suspected, immediate initiation of penicillin-based antibiotics, alongside clindamycin, and aggressive surgical intervention including hysterectomy are essential for ensuring survival. Although the decision to perform a hysterectomy can be challenging, especially in cases involving child-bearing-aged patients, it is a vital step to avert a fatal outcome. CONCLUSIONS: By presenting these cases, we aim to raise awareness of this uncommon, but highly lethal infection to expedite diagnosis and treatment to improve patient outcomes.


Subject(s)
Clostridium Infections , Humans , Female , Clostridium Infections/diagnosis , Adult , Pregnancy , Fatal Outcome , Adolescent , Pregnancy Complications, Infectious/diagnosis , Pregnancy Complications, Infectious/microbiology , Clostridium sordellii/isolation & purification , Peripartum Period , Clostridium septicum/isolation & purification , Necrosis , Hysterectomy
3.
Microb Biotechnol ; 17(6): e14478, 2024 Jun.
Article in English | MEDLINE | ID: mdl-38850267

ABSTRACT

Clostridioides difficile (CD) infections are defined by toxins A (TcdA) and B (TcdB) along with the binary toxin (CDT). The emergence of the 'hypervirulent' (Hv) strain PR 027, along with PR 176 and 181, two decades ago, reshaped CD infection epidemiology in Europe. This study assessed MALDI-TOF mass spectrometry (MALDI-TOF MS) combined with machine learning (ML) and Deep Learning (DL) to identify toxigenic strains (producing TcdA, TcdB with or without CDT) and Hv strains. In total, 201 CD strains were analysed, comprising 151 toxigenic (24 ToxA+B+CDT+, 22 ToxA+B+CDT+ Hv+ and 105 ToxA+B+CDT-) and 50 non-toxigenic (ToxA-B-) strains. The DL-based classifier exhibited a 0.95 negative predictive value for excluding ToxA-B- strains, showcasing accuracy in identifying this strain category. Sensitivity in correctly identifying ToxA+B+CDT- strains ranged from 0.68 to 0.91. Additionally, all classifiers consistently demonstrated high specificity (>0.96) in detecting ToxA+B+CDT+ strains. The classifiers' performances for Hv strain detection were linked to high specificity (≥0.96). This study highlights MALDI-TOF MS enhanced by ML techniques as a rapid and cost-effective tool for identifying CD strain virulence factors. Our results brought a proof-of-concept concerning the ability of MALDI-TOF MS coupled with ML techniques to detect virulence factor and potentially improve the outbreak's management.


Subject(s)
Clostridioides difficile , Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization , Virulence Factors , Clostridioides difficile/genetics , Clostridioides difficile/classification , Clostridioides difficile/chemistry , Clostridioides difficile/pathogenicity , Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization/methods , Virulence Factors/genetics , Virulence Factors/analysis , Humans , Clostridium Infections/microbiology , Clostridium Infections/diagnosis , Bacterial Proteins/genetics , Bacterial Proteins/metabolism , Bacterial Toxins/genetics , Machine Learning , Deep Learning , Sensitivity and Specificity , Enterotoxins/analysis , Enterotoxins/genetics
4.
Mayo Clin Proc ; 99(6): 971-979, 2024 Jun.
Article in English | MEDLINE | ID: mdl-38839189

ABSTRACT

Clostridioides difficile infection (CDI) is a significant public health challenge in the developed world. Although previously CDI was primarily a health care-acquired infection, there are now rising numbers of community-acquired cases in patients without traditional risk factors, such as antibiotic exposure. The landscape for the treatment of CDI has changed significantly during the past decade, including newer diagnostic tests, novel antibiotic regimens, and strategies for microbiome restoration in the form of traditional fecal microbiota transplant and approved live biotherapeutics in an effort to address the underlying pathophysiologic process of gut microbial dysbiosis. We present a concise review for clinicians on the diagnosis and management of both primary and recurrent CDI.


Subject(s)
Anti-Bacterial Agents , Clostridium Infections , Fecal Microbiota Transplantation , Humans , Clostridium Infections/therapy , Clostridium Infections/diagnosis , Anti-Bacterial Agents/therapeutic use , Fecal Microbiota Transplantation/methods , Clostridioides difficile , Gastrointestinal Microbiome , Risk Factors
5.
Am J Infect Control ; 52(8): 893-899, 2024 Aug.
Article in English | MEDLINE | ID: mdl-38935020

ABSTRACT

BACKGROUND: Inappropriate testing for Clostridiodes difficile infection (CDI) increases health care onset cases and contributes to overdiagnosis and overtreatment of patients in a community health care system. METHODS: An electronic smart order set for the testing of CDI was created and implemented to improve the appropriateness of testing. A retrospective review of patients who were tested for CDI, pre and post, was conducted to determine if inappropriate stool testing for CDI decreased post-implementation of the order set. RESULTS: 224 patients were tested for CDI during the study period with the post-implementation period having a higher proportion of patients who met appropriate testing criteria defined by presence of diarrhea (80.5% vs 61.3%; P = .002). The rate of inappropriate CDI stool testing decreased from 31.1% to 11.0% after implementation (P < .001). A higher proportion of CDI patients were readmitted within 30 days of discharge (54.2% vs 33.0%; P = 0.001) during the post-implementation period. CONCLUSIONS: There was a significant reduction in inappropriate CDI testing following the implementation of the order set. There was an observed increase in the proportion of patients who underwent recent gastrointestinal surgery which may have contributed to the increase in 30-day readmission rates during the post-implementation period.


Subject(s)
Clostridioides difficile , Clostridium Infections , Humans , Florida , Clostridium Infections/diagnosis , Retrospective Studies , Female , Male , Middle Aged , Aged , Clostridioides difficile/isolation & purification , Adult , Aged, 80 and over , Diagnostic Tests, Routine , Community Health Services
6.
Am J Case Rep ; 25: e943084, 2024 Jun 26.
Article in English | MEDLINE | ID: mdl-38923953

ABSTRACT

BACKGROUND Clostridium cadaveris is a motile, anaerobic, gram-positive, spore-forming bacillus usually found in soil. However, rare cases of opportunistic infections have been documented in immunosuppressed individuals. This report details the case of an immunocompetent young patient who developed septic arthritis of the knee after a traumatic injury involving a rusty nail. The aim of this paper is to provide a comprehensive literature review, shed light on the potential occurrence of Clostridium cadaveris septic arthritis, and explore its management. CASE REPORT A young patient with no medical history presented a traumatic inoculation leading to septic arthritis on a native knee by Clostridium cadaveris. The patient underwent 2 surgical debridements after an initial bad evolution under probabilistic antibiotic therapy. Bacteriological long-growing cultures and antibiotic testing were employed to guide antibiotic therapy selection. The patient had a favorable clinical outcome with no residual knee complications, with laboratory results showed good evolution. A review of the literature showed that Clostridium cadaveris septic arthritis in immunocompetent patients is very rare. The management and subsequent results emphasize the potential impact of the initial emergency room treatment on patient outcomes, especially concerning seemingly benign traumas. CONCLUSIONS This case report highlights the necessity of rapid diagnosis of the cause of septic arthritis, particularly in children, to prevent joint and tissue damage, and the rare diagnosis of knee arthritis with Clostridium cadaveris. This report expands understanding of osteoarticular infections and enhances the need for rapid diagnosis and early treatment, when managing cases with atypical presentations.


Subject(s)
Arthritis, Infectious , Clostridium Infections , Clostridium , Humans , Arthritis, Infectious/microbiology , Arthritis, Infectious/diagnosis , Clostridium/isolation & purification , Male , Clostridium Infections/diagnosis , Immunocompetence , Knee Injuries/complications , Knee Injuries/microbiology , Knee Joint/microbiology , Anti-Bacterial Agents/therapeutic use
7.
J Clin Microbiol ; 62(7): e0052424, 2024 Jul 16.
Article in English | MEDLINE | ID: mdl-38934589

ABSTRACT

This study compared the performance of two commercial molecular assays, the STANDARD M10 Clostridioides difficile assay (M10) and the Xpert C. difficile assay (Xpert), for detecting toxigenic C. difficile in stool specimens. A total of 487 consecutive stool specimens submitted for routine C. difficile testing between June and November 2023 were included. Following routine testing using C. DIFF QUIK CHEK COMPLETE (QCC), M10 and Xpert were tested in parallel, alongside toxigenic culture (reference standard). Additionally, two-step algorithms, using QCC on the first step and either M10 or Xpert on the second step, were assessed. Both M10 and Xpert demonstrated a sensitivity and negative predictive value (NPV) of 100%. M10 exhibited significantly higher specificity and positive predictive value (PPV; 91.9% and 64.2%, respectively) than Xpert (90.3% and 59.8%, respectively). Both two-step algorithms showed a sensitivity and NPV of 98.4% and 99.8%, respectively. The specificity and PPV of the two-step algorithm using M10 (95.2% and 75.0%, respectively) were slightly higher than those of the one using Xpert (94.8% and 73.2%, respectively), without statistical significance. Receiver operating characteristic curve analysis, assessing the predictive ability of cycle threshold (Ct) values for the detection of free toxin, exhibited an area under the curve of 0.825 for M10 and 0.843 for Xpert. This indicates the utility of Ct values as predictors for the detection of free toxin in both assays. In conclusion, M10 proves to be an effective diagnostic tool with performance comparable to Xpert, whether utilized independently or as part of a two-step algorithm.


Subject(s)
Clostridioides difficile , Clostridium Infections , Feces , Molecular Diagnostic Techniques , Sensitivity and Specificity , Humans , Clostridioides difficile/isolation & purification , Clostridioides difficile/genetics , Feces/microbiology , Clostridium Infections/diagnosis , Clostridium Infections/microbiology , Molecular Diagnostic Techniques/methods , Molecular Diagnostic Techniques/standards , Algorithms , Bacterial Toxins/analysis , Bacterial Toxins/genetics , Predictive Value of Tests
8.
Dimens Crit Care Nurs ; 43(4): 212-216, 2024.
Article in English | MEDLINE | ID: mdl-38787778

ABSTRACT

BACKGROUND: Clostridioides difficile (C. diff) infection causes significant morbidity for hospitalized patients. A large medical intensive care unit had an increase in C. diff infection rates. OBJECTIVES: The aim of this project was to reduce the C. diff polymerase chain reaction (PCR) test positivity rate and the rate of C. diff PCR tests ordered. Rates were compared between preintervention (July 2017 to December 2019) and postintervention (January 2021 to December 2022) timeframes. METHODS: Unit leadership led a robust quality improvement project, including use of quality improvement tools such as A3, Gemba walks, and plan-do-study-act cycles. Interventions were tailored to the barriers identified, including standardization of in-room supply carts; use of single-packaged oral care kits; new enteric precautions signage; education to staff, providers, and visitors; scripting for patients and visitors; and use of a C. diff testing algorithm. Statistical process control charts were used to assess for improvements. RESULTS: The average rate of C. diff PCR test positivity decreased from 34.9 PCR positive tests per 10 000 patient days to 12.3 in the postintervention period, a 66% reduction. The average rate of PCR tests ordered was 28 per 1000 patient days in the preintervention period; this decreased 44% to 15.7 in the postintervention period. DISCUSSION: We found clinically significant improvements in the rate of C. diff infection and PCR tests ordered as a result of implementing tailored interventions in a large medical intensive care unit. Other units should consider using robust quality improvement methods and tools to conduct similar initiatives to reduce patient harm and improve care and outcomes.


Subject(s)
Clostridium Infections , Cross Infection , Intensive Care Units , Quality Improvement , Humans , Clostridium Infections/prevention & control , Clostridium Infections/epidemiology , Clostridium Infections/diagnosis , Cross Infection/prevention & control , Clostridioides difficile/isolation & purification , Polymerase Chain Reaction , Infection Control
10.
Dtsch Med Wochenschr ; 149(12): 709-713, 2024 Jun.
Article in German | MEDLINE | ID: mdl-38781994

ABSTRACT

Gastrointestinal infections are still responsible for around 60% of the infectious diseases that must be reported in Germany and are probably among the most common gastroenterological diseases. The main therapy for gastrointestinal infections remains oral fluid replacement. The recommendations for Clostridioides difficile infections (CDI) have been adapted according to the current data and based on international guidelines; vancomycin or, especially if there is an increased risk of recurrence, fidaxomicin should now be used primarily in CDI. In the case of febrile diarrhea and/or bloody diarrhea, malaria diagnosis should be carried out immediately.


Subject(s)
Gastrointestinal Diseases , Practice Guidelines as Topic , Humans , Gastrointestinal Diseases/therapy , Gastrointestinal Diseases/diagnosis , Germany , Clostridium Infections/diagnosis , Clostridium Infections/therapy , Anti-Bacterial Agents/therapeutic use
11.
Ann Hepatol ; 29(4): 101510, 2024.
Article in English | MEDLINE | ID: mdl-38714224

ABSTRACT

INTRODUCTION AND OBJECTIVES: Non-alcoholic fatty liver disease (NAFLD) is the most common liver disease worldwide and can progress to non-alcoholic steatohepatitis (NASH) and, ultimately, cirrhosis. Clostridioides difficile is the most common nosocomial cause of diarrhea and is associated with worse clinical outcomes in other liver diseases, including cirrhosis, but has not been extensively evaluated in concomitant NAFLD/NASH. MATERIALS AND METHODS: We conducted a retrospective cohort study using the National Inpatient Sample database from 2015 to 2017. Patients with a diagnosis of CDI, NAFLD, and NASH were identified using International Classification of Diseases (Tenth Revision) codes. The outcomes of our study include length of stay, hospitalization cost, mortality, and predictors of mortality. RESULTS: The CDI and NASH cohort had a higher degree of comorbidity burden and prevalence of peptic ulcer disease, congestive heart failure, diabetes mellitus, and cirrhosis. Patients with NASH and CDI had a significantly higher mortality rate compared to the CDI only cohort (mortality, 7.11 % vs. 6.36 %; P = 0.042). Patients with CDI and NASH were at increased risk for liver-related complications, acute kidney injury, and septic shock (P < 0.001) compared to patients with CDI only. Older age, intestinal complications, pneumonia, sepsis and septic shock, and liver failure conferred an increased risk of mortality among the CDI and NASH cohort. CONCLUSIONS: Patients with NASH had a higher rate of liver-related complications, progression to septic shock, and mortality rate following CDI infection compared to the CDI only cohort.


Subject(s)
Clostridium Infections , Non-alcoholic Fatty Liver Disease , Humans , Non-alcoholic Fatty Liver Disease/mortality , Non-alcoholic Fatty Liver Disease/epidemiology , Non-alcoholic Fatty Liver Disease/complications , Male , Female , Retrospective Studies , Risk Factors , Middle Aged , Clostridium Infections/mortality , Clostridium Infections/epidemiology , Clostridium Infections/diagnosis , Aged , Clostridioides difficile , United States/epidemiology , Databases, Factual , Length of Stay/statistics & numerical data , Adult , Comorbidity , Hospital Costs , Risk Assessment
12.
BMJ Case Rep ; 17(5)2024 May 22.
Article in English | MEDLINE | ID: mdl-38782436

ABSTRACT

Clostridium perfringens is notorious for causing skin and soft tissue infections and food poisoning. Rarely, C. perfringens infections are associated with severe haemolysis, with a mortality rate of >80%. A previously healthy man in his 70s who presented with fever as his chief symptom was promptly admitted to a regional core hospital. Over the next 3 hours, shock and multiple organ failure ensued, leading to referral to our hospital for intensive care. We suspected a liver abscess caused by C. perfringens infection with haemolysis, findings of severe haemolysis and a liver mass with gas production that appeared within a few hours. Though surgical drainage was contemplated, low blood pressure resulted in death within 3 hours of arrival at our hospital. The next day, a blood culture confirmed C. perfringens, proving the diagnosis. Improving patient outcomes requires increased awareness of the disease and early detection.


Subject(s)
Clostridium Infections , Clostridium perfringens , Hemolysis , Liver Abscess , Humans , Male , Clostridium Infections/complications , Clostridium Infections/diagnosis , Liver Abscess/microbiology , Fatal Outcome , Aged
13.
J Prim Care Community Health ; 15: 21501319241249645, 2024.
Article in English | MEDLINE | ID: mdl-38726585

ABSTRACT

Clostridioides difficile infection (CDI) is one of the most common and severe nosocomial infections worldwide. It can also affect healthy individuals in the community. The incidence of CDI has been on the rise globally for the past decade, necessitating a proactive approach to combat its spread; new strategies are being developed to enhance diagnostic accuracy and optimize treatment outcomes. Implementing the 2-step testing has increased diagnostic specificity, reducing the usage of CD-specific antibiotics with no concomitant increase in surgical complication rates. In 2021, the Infectious Diseases Society of America/Society for Healthcare Epidemiology of America (IDSA/SHEA) shifted its preference for initial treatment to fidaxomicin over vancomycin and metronidazole due to its lower recurrence rate. It also prioritized fidaxomicin for the treatment of recurrent CDI. There are new developments on the frontiers of fecal microbiota therapies, with RBX2660 and SER-109 approved recently by the FDA for prevention, with other microbiome-based therapies in various development and clinical trials. This review offers providers an updated and practical guide for CDI management.


Subject(s)
Anti-Bacterial Agents , Clostridioides difficile , Clostridium Infections , Humans , Clostridium Infections/prevention & control , Clostridium Infections/diagnosis , Clostridium Infections/therapy , Anti-Bacterial Agents/therapeutic use , Fecal Microbiota Transplantation , Cross Infection/prevention & control , Practice Guidelines as Topic , Fidaxomicin/therapeutic use , Metronidazole/therapeutic use
14.
Clin Chim Acta ; 559: 119728, 2024 Jun 01.
Article in English | MEDLINE | ID: mdl-38750779

ABSTRACT

BACKGROUND AND AIMS: The incidence of Clostridioides difficile infection and the prevalence of hypervirulent ST1 (BI/NAP1/027)strain are increasing, especially in developing countries. We aimed to develop a new PCR assay for the identification of hypervirulent ST1 strains and toxigenic C. difficile in stool samples. MATERIALS AND METHODS: We established a quadruplex TaqMan real-time PCR (pilW_4-plex PCR) assay targeting the pilW, a ST1-specific type Ⅳ minor pilin gene, and three C. difficile genes including cdtB, tcdB, and hsp. The sensitivity and specificity of the assay was tested using 403C. difficile isolates and 180 unformed stool sample. The results were compared with anaerobic culture-based conventional PCR method and MLST. RESULTS: The pilW_4-plex PCR identified toxigenic C. difficile in 333 (82.6%, 333/403) isolates with 100% sensitivity and specificity, and in 78 (43.3%, 78/180) stool samples with the sensitivity and specificity of 94.7% and 93.3%, respectively. Hypervirulent ST1 were detected in 21 strains and nine stool samples by the pilW_4-plex PCR. The pilW_4-plex PCR assay has no cross-reaction with non-toxigenic C. difficile or other bacteria. CONCLUSION: The pilW_4-plex PCR assay is an accurate and rapid method with high sensitivity and specificity for identification of ST1 and detection of toxigenic C. difficile in stool.


Subject(s)
Clostridioides difficile , Clostridioides difficile/genetics , Clostridioides difficile/isolation & purification , Humans , Real-Time Polymerase Chain Reaction , Feces/microbiology , Polymerase Chain Reaction/methods , Clostridium Infections/diagnosis , Clostridium Infections/microbiology , Virulence/genetics , Sensitivity and Specificity
15.
Poult Sci ; 103(6): 103681, 2024 Jun.
Article in English | MEDLINE | ID: mdl-38603932

ABSTRACT

Cellulitis is an important disease in commercial turkey farms associated with significant economic loss. Although the etiology of cellulitis is not fully elucidated, Clostridium septicum (C. septicum) is one of the main causes of this infectious disease. In this study, we report the development of a quantitative real-time PCR (qRT PCR) assay targeting the alpha-toxin gene (csa), which involves a prior 15-cyle PCR using a nested pair of primers to increase the detection sensitivity. Additionally, the TaqMan probe was employed to increase the target-specificity of the assay. The performance of our nested qRT-PCR assay was evaluated using Clostridium isolates from turkey farms, representing both septicum and non-septicum species, as well as sponge swab samples from turkey farms. Our step-by-step development of the assay showed that the csa gene is a suitable target for specific detection of C. septicum strains and that the inclusion of nested PCR step significantly increased the detection sensitivity of the final qRT PCR assay. The performance of the assay was also validated by a high correlation of the threshold cycle numbers of the qRT PCR assay with the relative abundance of C. septicum read counts in 16S rRNA gene microbiota profiles of the C. septicum-containing samples from turkey farms.


Subject(s)
Clostridium Infections , Clostridium septicum , Poultry Diseases , Real-Time Polymerase Chain Reaction , Turkeys , Real-Time Polymerase Chain Reaction/veterinary , Real-Time Polymerase Chain Reaction/methods , Animals , Turkeys/microbiology , Clostridium Infections/veterinary , Clostridium Infections/microbiology , Clostridium Infections/diagnosis , Clostridium septicum/isolation & purification , Clostridium septicum/genetics , Poultry Diseases/microbiology , Poultry Diseases/diagnosis , Sensitivity and Specificity , RNA, Ribosomal, 16S/genetics , RNA, Ribosomal, 16S/analysis
16.
Clin Transl Gastroenterol ; 15(6): e1, 2024 Jun 01.
Article in English | MEDLINE | ID: mdl-38661188

ABSTRACT

INTRODUCTION: Despite research efforts, predicting Clostridioides difficile incidence and its outcomes remains challenging. The aim of this systematic review was to evaluate the performance of machine learning (ML) models in predicting C. difficile infection (CDI) incidence and complications using clinical data from electronic health records. METHODS: We conducted a comprehensive search of databases (OVID, Embase, MEDLINE ALL, Web of Science, and Scopus) from inception up to September 2023. Studies employing ML techniques for predicting CDI or its complications were included. The primary outcome was the type and performance of ML models assessed using the area under the receiver operating characteristic curve. RESULTS: Twelve retrospective studies that evaluated CDI incidence and/or outcomes were included. The most commonly used ML models were random forest and gradient boosting. The area under the receiver operating characteristic curve ranged from 0.60 to 0.81 for predicting CDI incidence, 0.59 to 0.80 for recurrence, and 0.64 to 0.88 for predicting complications. Advanced ML models demonstrated similar performance to traditional logistic regression. However, there was notable heterogeneity in defining CDI and the different outcomes, including incidence, recurrence, and complications, and a lack of external validation in most studies. DISCUSSION: ML models show promise in predicting CDI incidence and outcomes. However, the observed heterogeneity in CDI definitions and the lack of real-world validation highlight challenges in clinical implementation. Future research should focus on external validation and the use of standardized definitions across studies.


Subject(s)
Clostridioides difficile , Clostridium Infections , Machine Learning , Humans , Clostridium Infections/diagnosis , Clostridium Infections/epidemiology , Clostridioides difficile/isolation & purification , Incidence , ROC Curve , Recurrence , Electronic Health Records/statistics & numerical data
17.
Microbiol Spectr ; 12(6): e0022524, 2024 Jun 04.
Article in English | MEDLINE | ID: mdl-38687067

ABSTRACT

The detection of Clostridioides difficile infections (CDI) relies on testing the stool of patients by toxin antigen detection or PCR methods. Although PCR and antigenic methods have significantly reduced the time to results, delays in stool collection can significantly add to the turnaround time. The use of rectal swabs to detect C. difficile could considerably reduce the time to diagnosis of CDI. We developed a new rapid PCR assay for the detection of C. difficile and evaluated this PCR assay on both stool and rectal swab specimens. We recruited a total of 623 patients suspected of C. difficile infection. Stool samples and rectal swabs were collected from each patient and tested by our PCR assay. Stool samples were also tested by the cell cytotoxicity neutralization assay (CCNA) as a reference. The PCR assay detected C. difficile in 60 stool specimens and 61 rectal swabs for the 64 patients whose stool samples were positive for C. difficile by CCNA. The PCR assay detected an additional 35 and 36 stool and rectal swab specimens positive for C. difficile, respectively, for sensitivity with stools and rectal swabs of 93.8% and 95.3%, specificity of 93.7% and 93.6%, positive predictive values of 63.2% and 62.9%, and negative predictive values of 99.2% and 99.4%. Detection of C. difficile using PCR on stools or rectal swabs yielded reliable and similar results. The use of PCR tests on rectal swabs could reduce turnaround time for CDI detection, thus improving CDI management and control of C. difficile transmission. IMPORTANCE: Clostridioides difficile infection (CDI) is the leading cause of healthcare-associated diarrhea, resulting in high morbidity, mortality, and economic burden. In clinical laboratories, CDI testing is currently performed on stool samples collected from patients with diarrhea. However, the diagnosis of CDI can be delayed by the time required to collect stool samples. Barriers to sample collection could be overcome by using a rectal swab instead of a stool sample. Our study showed that CDI can be identified rapidly and reliably by a new PCR assay developed in our laboratory on both stool and rectal swab specimens. The use of PCR tests on rectal swabs could reduce the time for the detection of CDI and improve the management of this infection. It should also provide a useful alternative for infection-control practitioners to better control the spread of C. difficile.


Subject(s)
Clostridioides difficile , Clostridium Infections , Feces , Polymerase Chain Reaction , Rectum , Sensitivity and Specificity , Humans , Feces/microbiology , Clostridioides difficile/isolation & purification , Clostridioides difficile/genetics , Clostridium Infections/diagnosis , Clostridium Infections/microbiology , Polymerase Chain Reaction/methods , Rectum/microbiology , Female , Male , Aged , Middle Aged , Specimen Handling/methods , Adult , Aged, 80 and over
19.
Clin Chim Acta ; 558: 119674, 2024 May 15.
Article in English | MEDLINE | ID: mdl-38621586

ABSTRACT

BACKGROUND: Clostridioides difficile infection (CDI) is the main etiologic agent of antibiotic-associated diarrhea. CDI contributes to gut inflammation and can lead to disruption of the intestinal epithelial barrier. Recently, the rate of CDI cases has been increased. Thus, early diagnosis of C. difficile is critical for controlling the infection and guiding efficacious therapy. APPROACH: A search strategy was set up using the terms C. difficile biomarkers and diagnosis. The found references were classified into two general categories; conventional and advanced methods. RESULTS: The pathogenicity and biomarkers of C. difficile, and the collection manners for CDI-suspected specimens were briefly explained. Then, the conventional CDI diagnostic methods were subtly compared in terms of duration, level of difficulty, sensitivity, advantages, and disadvantages. Thereafter, an extensive review of the various newly proposed techniques available for CDI detection was conducted including nucleic acid isothermal amplification-based methods, biosensors, and gene/single-molecule microarrays. Also, the detection mechanisms, pros and cons of these methods were highlighted and compared with each other. In addition, approximately complete information on FDA-approved platforms for CDI diagnosis was collected. CONCLUSION: To overcome the deficiencies of conventional methods, the potential of advanced methods for C. difficile diagnosis, their direction, perspective, and challenges ahead were discussed.


Subject(s)
Biomarkers , Clostridioides difficile , Clostridium Infections , Clostridioides difficile/genetics , Clostridioides difficile/pathogenicity , Clostridioides difficile/isolation & purification , Humans , Clostridium Infections/diagnosis , Clostridium Infections/microbiology
20.
Microbes Infect ; 26(5-6): 105341, 2024.
Article in English | MEDLINE | ID: mdl-38679228

ABSTRACT

Fecal microbiota transplantation (FMT) is effective against recurrent Clostridioides difficile infection (rCDI), but its safety is jeopardized by the potential transmission of pathogens, so international guidelines recommend either a quarantine or a direct stool testing. Whereas reports of the quarantine-based approach are emerging, data on the direct testing-based approach are not available. Our aim is to report outcomes of a donor screening framework for FMT including direct stool testing. In this prospective cohort study, all donor candidates recruited at our FMT centre underwent a four-step screening process to be enrolled as actual donors. Each collected stool donation was then evaluated with a direct stool testing including a molecular assay for gut pathogens and a culture assay for multi-drug resistant organisms (MDRO). From January 2019 to June 2023, 72 of 227 candidates (32%) were considered eligible and provided 277 stool donations. Ninety-nine donations (36%) were discarded for positivity to intestinal pathogens, most commonly enteropathogenic Escherichia coli (n = 37) and Blastocystis hominis (n = 20). Overall, 337 stool aliquots were obtained from 165 approved donations. All suspensions were used for patients with rCDI, and no serious adverse events or clinically evident infections were observed at 12 weeks after procedures. In our study, screening of donor faeces including direct stool testing led to the discard of a considerable rate of stool donations but was also extremely safe. This approach may represent a reliable strategy to guarantee the safety of FMT programs, especially in countries with high prevalence of MDRO.


Subject(s)
Clostridium Infections , Donor Selection , Fecal Microbiota Transplantation , Feces , Humans , Fecal Microbiota Transplantation/methods , Prospective Studies , Feces/microbiology , Feces/parasitology , Female , Male , Middle Aged , Clostridium Infections/diagnosis , Clostridium Infections/therapy , Clostridium Infections/microbiology , Donor Selection/methods , Aged , Adult , Clostridioides difficile/isolation & purification , Gastrointestinal Microbiome
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