scholarly journals 2351. Rate and Consequences of Missed Clostridioides (Clostridium) difficile Infection Diagnosis from Non-disclosure of Clostridioides difficile Multiplex PCR Results. Two-Hospital Experience

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S809-S809
Author(s):  
Ioannis Zacharioudakis ◽  
Fainareti Zervou ◽  
Michael Phillips ◽  
Maria E Aguero-Rosenfeld
Keyword(s):  
New York ◽  
Clostridium Difficile ◽  
The United States ◽  
Adverse Outcomes ◽  
Adult Patients ◽  
Unknown Etiology ◽  
Clostridioides Difficile ◽  
Appropriate Therapy ◽  
Traditional Risk Factors ◽  
Community Onset

Abstract Background It is common practice among microbiology laboratories in the United States to blind the BioFire FilmArray GI Panel results for Clostridioides (Clostridium) difficile (C. difficile) in fear of over-diagnosis of C. difficile infection (CDI). Methods We conducted a retrospective cohort study in 2 tertiary academic centers in New York to examine the rate of missed CDI diagnosis and the associated adverse outcomes from blinding the BioFire FilmArray GI Panel results for C. difficile. Of note, in one of the two included hospitals the list of daily positives is reviewed by an Infectious Diseases attending to determine whether cases have been tested for CDI and if not if they meet criteria for CDI. Adult patients with FilmArray GI Panel positive for C. difficile on admission to the hospital who lacked dedicated testing for C. difficile were included in the analysis and were stratified as possible, probable and definite cases of missed CDI diagnosis. Results Among the 144 adult patients with a FilmArray GI Panel test positive for C. difficile within 48 hours of hospital admission, 18 did not have a concurrent dedicated C. difficile testing. Eight patients were categorized as possible cases of missed CDI diagnosis, 5 as probable and 4 as definite, for a total of 17 cases of at least possibly missed CDI diagnosis. One case was considered to represent C. difficile colonization rather than infection for a rate of 6.9% of CDI over-diagnosis based on the FilmArray GI Panel results. Missed CDI diagnoses were associated with a delay in initiation of appropriate therapy, admission to the intensive care unit, hospital re-admission, colorectal surgery and death/discharge to hospice. Five out of 17 cases of missed CDI diagnosis (29.4%) lacked traditional risk factors for CDI. Conclusion In conclusion, the practice of concealing FilmArray GI Panel results for C. difficile may lead to a higher rate of missed CDI diagnosis than over-diagnosis and might need to be re-considered at least in patients with community-onset colitis of unknown etiology on presentation to the hospital. Disclosures All authors: No reported disclosures.

scholarly journals Defining the black box: a narrative review of factors associated with adverse outcomes from severe Clostridioides difficile infection

2021 ◽  
Vol 14 ◽  
pp. 175628482110481
Author(s):  
Adam Ressler ◽  
Joyce Wang ◽  
Krishna Rao
Keyword(s):  
The United States ◽  
Adverse Outcomes ◽  
Chronic Illnesses ◽  
Narrative Review ◽  
Healthcare Associated Infection ◽  
Clostridioides Difficile ◽  
Clostridioides Difficile Infection ◽  
Patients At Risk ◽  
Hospital Deaths ◽  
Healthcare Associated

In the United States, Clostridioides difficile infection (CDI) is the leading cause of healthcare-associated infection, affecting nearly half a million people and resulting in more than 20,000 in-hospital deaths every year. It is therefore imperative to better characterize the intricate interplay between C. difficile microbial factors, host immunologic signatures, and clinical features that are associated with adverse outcomes of severe CDI. In this narrative review, we discuss the implications of C. difficile genetics and virulence factors in the molecular epidemiology of CDI, and the utility of early biomarkers in predicting the clinical trajectory of patients at risk of developing severe CDI. Furthermore, we identify associations between host immune factors and CDI outcomes in both animal models and human studies. Next, we highlight clinical factors including renal dysfunction, aging, blood biomarkers, level of care, and chronic illnesses that can affect severe CDI diagnosis and outcome. Finally, we present our perspectives on two specific treatments pertinent to patient outcomes: metronidazole administration and surgery. Together, this review explores the various venues of CDI research and highlights the importance of integrating microbial, host, and clinical data to help clinicians make optimal treatment decisions based on accurate prediction of disease progression.

scholarly journals Genomic analysis of Clostridioides difficile in two regions reveals a diversity of strains and limited transmission

2020 ◽  
Vol 41 (S1) ◽  
pp. s237-s238
Author(s):  
Nicole Pecora ◽  
Stacy Holzbauer ◽  
Xiong Wang ◽  
Yu Gu ◽  
Trupti Hatwar ◽  
...  
Keyword(s):  
New York ◽  
Genomic Analysis ◽  
Illumina Miseq ◽  
The United States ◽  
Snp Analysis ◽  
Whole Genome ◽  
Emerging Infections ◽  
Clostridioides Difficile ◽  
Healthcare Associated ◽  
Incident Cases

Background: The epidemic NAP1/027 Clostridioides difficile strain (MLST1, ST1) that emerged in the mid-2000 is on the decline. The current distribution of C. difficile strain types and their transmission dynamics are poorly defined. We performed whole-genome sequencing (WGS) of C. difficile isolates in 2 regions to identify the predominant multilocus sequence types (MLSTs) in community- and healthcare-associated cases and potential transmission between cases using whole-genome single-nucleotide polymorphism (SNP) analysis. Methods: Isolates were collected through the CDC Emerging Infections Program population-based surveillance for C. difficile infections (CDI) for 3 months between 2016 and 2017 in 5 Minnesota counties and 1 New York county. Isolates were limited to incident cases (CDI in a county resident with no positive C. difficile test in the preceding 8 weeks). Cases were classified as healthcare associated (HA-CDI) or community associated (CA-CDI) based on healthcare exposures as previously described. WGS was performed on an Illumina Miseq. The CFSAN (FDA) pipeline was used to compute whole-genome SNPs, SPAdes was used for assembly, and MLST was assigned according to www.pubmlst.org. Results: Of 431 isolates, 269 originated from New York and 162 from Minnesota; 203 cases were classified as CA-CDI and 221 as HA-CDI. The proportion of CA-CDI cases was higher in Minnesota than in New York: 62% vs 38%. The predominant MLSTs across both sites were ST42 (9%), ST8 (8%), and ST2 (8%). MLSTs more frequently encountered in HA-CDI than CA-CDI included ST1 (note that this ST includes PCR Ribotype 027; 76% HA-CDI), ST53 (84% HA-CDI), and ST43 (80% HA-CDI). In contrast, ST110 (63% CA-CDI) and ST3 (67% CA-CDI) were more commonly isolated from CA-CDI cases. ST1 accounted for 7.6% of circulating strains and was more common in New York than Minnesota (10% vs 3%) and was concentrated among New York HA-CDI cases. Also, 412 isolates (1 per patient) were included in the final whole-genome SNP analysis. Of these, only 12 pairs were separated by 0–3 SNPs, indicating potential transmission, and most involved HA-CDI cases. ST1, ST17, and ST46 accounted for 8 of 12 pairs, with ST17 and ST46 potentially forming small clusters. Conclusions: This analysis provides a snapshot of the current genomic epidemiology of C. difficile across 2 geographically and epidemiologically distinct regions of the United States and supports other studies suggesting that the role of direct transmission in the spread of CDI may be limited.Funding: NoneDisclosures: None

scholarly journals 2370. Risk Factors for Clostridioides difficile Colonization Among Adult Inpatients: A Meta-Analysis

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S817-S818
Author(s):  
Adam M Brown ◽  
Scott Anjewierden ◽  
Abhishek Deshpande
Keyword(s):  
Risk Factors ◽  
Hospital Admission ◽  
Gastric Acid ◽  
Meta Analysis ◽  
The United States ◽  
Adult Patients ◽  
Acid Suppression ◽  
Clostridioides Difficile ◽  
Acid Suppression Therapy ◽  
Gastric Acid Suppression

Abstract Background Clostridioides difficile is one of the most common causes of healthcare-associated infections in the United States. The prevalence of asymptomatic C. difficile colonization has been demonstrated to range from 3 to 21% for hospitalized adults. Patients colonized with C. difficile may serve as potential reservoirs for transmission of C. difficile infection (CDI) within inpatient units. The purpose of this meta-analysis was to identify the risk factors for colonization at hospital admission among adult patients, to inform strategies for infection prevention. Methods We searched MEDLINE, Scopus, Web of Science, and Embase from inception to 2019 for articles related to C. difficile colonization on hospital admission. Studies with multivariate analyses evaluating risk factors for asymptomatic colonization in adult inpatients were eligible. Odds ratios were pooled using a random effects model. Study quality and publication bias analyses were also conducted. Results Among 2,982 studies identified in the search, 21 studies met the inclusion criteria. Included studies reported 18,468 adult patients of which 1,243 were asymptomatically colonized with C.difficile. Factors associated with an increased risk of colonization were CDI in the last 3 months (OR 4.18, 95% CI 2.56–6.82, I2 = 0%), hospitalization in the last 6 months (OR 2.45, 95% CI 2.06–2.92, I2 = 0%) and use of gastric acid suppression therapy within the last 8 weeks (OR 1.46, 95% CI 1.17–1.73, I2 = 1%). Receipt of antibiotics in the last 3 months (OR 1.37, 95% CI 0.94–2.01, I2 = 48%) and use of non-steroidal anti-inflammatory drugs (OR 0.90, 95% CI 0.52–1.55, I2 = 65%) were not associated with statistically significant effects on risk of colonization. There were insufficient studies to determine the association between most antibiotic classes and the risk of colonization. Conclusion C.difficile colonization on hospital admission was significantly associated with previous CDI, recent hospitalization, and gastric acid suppression therapy. Recognition of these risk factors may assist in identifying potential carriers of C. difficile. These findings also emphasize the importance of judicious use of gastric acid suppression and other preventative measures in reducing C. difficile acquisition. Disclosures All authors: No reported disclosures.

The use of laboratory-identified event surveillance to classify adverse outcomes due to Clostridioides difficile infection in Canadian long-term care facilities

2020 ◽  
pp. 1-8
Author(s):  
Ye Shen ◽  
Jennifer Ellison ◽  
Jenine Leal ◽  
Kathryn R. Bush ◽  
A. Uma Chandran ◽  
...  
Keyword(s):  
Acute Care ◽  
Long Term Care ◽  
Care Facility ◽  
Adverse Outcomes ◽  
Annual Review ◽  
Term Care ◽  
Clostridioides Difficile ◽  
All Cause Mortality ◽  
Community Onset

Abstract Objective: Adverse outcomes following Clostridioides difficile infection (CDI) are not often reported for long-term care facility (LTCF) residents. We focused on the adverse outcomes due to CDI identified in Alberta LTCFs. Methods: All positive Clostridioides difficile stool specimens identified by laboratory-identified (LabID) event surveillance in Alberta from 2011 to 2018, along with Alberta Continuing Care Information System, were used to define CDI in Alberta LTCFs. CDI cases were classified as long-term care onset, hospital onset, and community onset. Laboratory records were linked to provincial databases to analyze acute-care admissions and mortality within 30-day post CDI. Age, sex, case classification, episode, and operator type, were investigated using logistic regression. Results: Overall, 902 CDI cases were identified in 762 LTCF residents. Of all CDI events, 860 (95.3%) were long-term care onset, 38 (4.2%) were hospital onset, and 4 (0.4%) were community onset. The CDI rate was 2.0 of 100,000 resident days. In total, 157 residents (20.6%) had 30-day all-cause mortality, 126 CDI cases (14.0%) had 30-day all-cause acute-care admissions. The 30-day all-cause mortality rate was significantly higher in residents aged >80 versus ≤80 years (24.9 vs 12.3 per 100 residents; P < .05). Residents aged >80 years, with hospital-onset CDI, and those staying in private or voluntary LTCFs were more likely to have 30-day all-cause acute-care admissions. Conclusions: The prevalence of CDI adverse outcomes is in LTCFs was found to be high using LabID event surveillance. Annual review of CDI adverse outcomes using LabID event can minimize the burden of surveillance and standardize the process across all Alberta LTCFs.

scholarly journals Multicenter Study of the Impact of Community-Onset Clostridium difficile Infection on Surveillance for C. difficile Infection

2009 ◽  
Vol 30 (6) ◽  
pp. 518-525 ◽  
Author(s):  
Erik R. Dubberke ◽  
Anne M. Butler ◽  
Bala Hota ◽  
Yosef M. Khan ◽  
Julie E. Mangino ◽  
...  
Keyword(s):  
Clostridium Difficile ◽  
Control Charts ◽  
Healthcare Facility ◽  
The United States ◽  
Outbreak Detection ◽  
Multicenter Cohort Study ◽  
Time Points ◽  
Stool Samples ◽  
The Impact ◽  
Community Onset

Objective.To evaluate the impact of cases of community-onset, healthcare facility (HCF)-associated Clostridium difficile infection (CDI) on the incidence and outbreak detection of CDI.Design.A retrospective multicenter cohort study.Setting.Five university-affiliated, acute care HCFs in the United States.Methods.We collected data (including results of C. difficile toxin assays of stool samples) on all of the adult patients admitted to the 5 hospitals during the period from July I, 2000, through June 30, 2006. CDI cases were classified as HCF-onset if they were diagnosed more than 48 hours after admission or as community-onset, HCF-associated if they were diagnosed within 48 hours after admission and if the patient had recently been discharged from the HCF. Four surveillance definitions were compared: cases of HCF-onset CDI only (hereafter referred to as HCF-onset CDI) and cases of HCF-onset and community-onset, HCF-associated CDI diagnosed within 30, 60, and 90 days after the last discharge from the study hospital (hereafter referred to as 30-day, 60-day, and 90-day CDI, respectively). Monthly CDI rates were compared. Control charts were used to identify potential CDI outbreaks.Results.The rate of 30-day CDI was significantly higher than the rate of HCF-onset CDI at 2 HCFs (P < .01 ). The rates of 30-day CDI were not statistically significantly different from the rates of 60-day or 90-day CDI at any HCF. The correlations between each HCF's monthly rates of HCF-onset CDI and 30-day CDI were almost perfect (ρ range, 0.94-0.99; P < .001). Overall, 12 time points had a CDI rate that was more than 3 standard deviations above the mean, including 11 time points identified using the definition for HCF-onset CDI and 9 time points identified using the definition for 30-day CDI, with discordant results at 4 time points (k = 0.794; P < .001).Conclusions.Tracking cases of both community-onset and HCF-onset, HCF-associated CDI captures significantly more CDI cases, but surveillance of HCF-onset, HCF-associated CDI alone is sufficient to detect an outbreak.

scholarly journals Systemic Inflammatory Mediators Are Effective Biomarkers for Predicting Adverse Outcomes in Clostridioides difficile Infection

mBio ◽  
2020 ◽  
Vol 11 (3) ◽  
Author(s):  
Michael G. Dieterle ◽  
Rosemary Putler ◽  
D. Alexander Perry ◽  
Anitha Menon ◽  
Lisa Abernathy-Close ◽  
...  
Keyword(s):  
Severe Disease ◽  
The United States ◽  
Human Infection ◽  
Serum Biomarkers ◽  
Adverse Outcomes ◽  
Gastrointestinal Infections ◽  
Content Type ◽  
Clostridioides Difficile ◽  
Increased Risk ◽  
Patients At Risk

ABSTRACT Clostridioides difficile infection (CDI) can result in severe disease and death, with no accurate models that allow for early prediction of adverse outcomes. To address this need, we sought to develop serum-based biomarker models to predict CDI outcomes. We prospectively collected sera ≤48 h after diagnosis of CDI in two cohorts. Biomarkers were measured with a custom multiplex bead array assay. Patients were classified using IDSA severity criteria and the development of disease-related complications (DRCs), which were defined as ICU admission, colectomy, and/or death attributed to CDI. Unadjusted and adjusted models were built using logistic and elastic net modeling. The best model for severity included procalcitonin (PCT) and hepatocyte growth factor (HGF) with an area (AUC) under the receiver operating characteristic (ROC) curve of 0.74 (95% confidence interval, 0.67 to 0.81). The best model for 30-day mortality included interleukin-8 (IL-8), PCT, CXCL-5, IP-10, and IL-2Rα with an AUC of 0.89 (0.84 to 0.95). The best model for DRCs included IL-8, procalcitonin, HGF, and IL-2Rα with an AUC of 0.84 (0.73 to 0.94). To validate our models, we employed experimental infection of mice with C. difficile. Antibiotic-treated mice were challenged with C. difficile and a similar panel of serum biomarkers was measured. Applying each model to the mouse cohort of severe and nonsevere CDI revealed AUCs of 0.59 (0.44 to 0.74), 0.96 (0.90 to 1.0), and 0.89 (0.81 to 0.97). In both human and murine CDI, models based on serum biomarkers predicted adverse CDI outcomes. Our results support the use of serum-based biomarker panels to inform Clostridioides difficile infection treatment. IMPORTANCE Each year in the United States, Clostridioides difficile causes nearly 500,000 gastrointestinal infections that range from mild diarrhea to severe colitis and death. The ability to identify patients at increased risk for severe disease or mortality at the time of diagnosis of C. difficile infection (CDI) would allow clinicians to effectively allocate disease modifying therapies. In this study, we developed models consisting of only a small number of serum biomarkers that are capable of predicting both 30-day all-cause mortality and adverse outcomes of patients at time of CDI diagnosis. We were able to validate these models through experimental mouse infection. This provides evidence that the biomarkers reflect the underlying pathophysiology and that our mouse model of CDI reflects the pathogenesis of human infection. Predictive models can not only assist clinicians in identifying patients at risk for severe CDI but also be utilized for targeted enrollment in clinical trials aimed at reduction of adverse outcomes from severe CDI.

scholarly journals A Multicenter Study of Clostridium difficile Infection—Related Colectomy, 2000—2006

2012 ◽  
Vol 33 (5) ◽  
pp. 470-476 ◽  
Author(s):  
Amelia M. Kasper ◽  
Humaa A. Nyazee ◽  
Deborah S. Yokoe ◽  
Jeanmarie Mayer ◽  
Julie E. Mangino ◽  
...  
Keyword(s):  
Clostridium Difficile ◽  
Tertiary Care ◽  
Healthcare Facility ◽  
The United States ◽  
Healthcare Facilities ◽  
Tertiary Care Centers ◽  
Design And Methods ◽  
Study Hospital ◽  
Community Onset ◽  
Over Time

Objective.To assess Clostridium difficile infection (CDI)-related colectomy rates by CDI surveillance definitions and over time at multiple healthcare facilities.Setting.Five university-affiliated acute care hospitals in the United States.Design and Methods.Cases of CDI and patients who underwent colectomy from July 2000 through June 2006 were identified from 5 US tertiary care centers. Monthly CDI-related colectomy rates were calculated as the number of CDI-related colectomies per 1,000 CDI cases, and cases were categorized according to recommended surveillance definitions. Logistic regression was performed to evaluate risk factors for CDI-related colectomy.Results.In total, 8,569 cases of CDI were identified, and 75 patients underwent CDI-related colectomy. The overall colectomy rate was 8.7 per 1,000 CDI cases. The CDI-related colectomy rate ranged from 0 to 23 per 1,000 CDI episodes across hospitals. The colectomy rate for healthcare-facility-onset CDI was 4.3 per 1,000 CDI cases, and that for community-onset CDI was 16.5 per 1,000 CDI cases (P < .05). There were significantly more CDI-related colectomies at hospitals B and C (P < .05).Conclusions.The overall CDI-related colectomy rate was low, and there was no significant change in the CDI-related colectomy rate over time. Onset of disease outside the study hospital was an independent risk factor for colectomy.

scholarly journals Multicenter Study of Clostridium difficile Infection Rates from 2000 to 2006

2010 ◽  
Vol 31 (10) ◽  
pp. 1030-1037 ◽  
Author(s):  
Erik R. Dubberke ◽  
Anne M. Butler ◽  
Deborah S. Yokoe ◽  
Jeanmarie Mayer ◽  
Bala Hota ◽  
...  
Keyword(s):  
Clostridium Difficile ◽  
Hospital Admission ◽  
Healthcare Facility ◽  
The United States ◽  
Incidence Rates ◽  
Regional Problem ◽  
Toxin Assay ◽  
Definition Of ◽  
Study Hospital ◽  
Community Onset

Objective.To compare incidence rates of Clostridium difficile infection (CDI) during a 6-year period among 5 geographically diverse academic medical centers across the United States by use of recommended standardized surveillance definitions of CDI that incorporate recent information on healthcare facility (HCF) exposure.Methods.Data on C. difficile toxin assay results and dates of hospital admission and discharge were collected from electronic databases. Chart review was performed for patients with a positive C. difficile toxin assay result who were identified within 48 hours after hospital admission to determine whether they had any HCF exposure during the 90 days prior to their hospital admission. CDI cases, defined as any inpatient with a stool toxin assay positive for C. difficile, were categorized into 5 surveillance definitions based on recent HCF exposure. Annual CDI rates were calculated and evaluated by use of the χ2 test for trend and the χ2 summary test.Results.During the study period, there were significant increases in the overall incidence rates of HCF-onset, HCF-associated CDI (from 7.0 to 8.5 cases per 10,000 patient-days; P < .001); community-onset, HCF-associated CDI attributed to a study hospital (from 1.1 to 1.3 cases per 10,000 patient-days; P = .003); and community-onset, HCF-associated CDI not attributed to a study hospital (from 0.8 to 1.5 cases per 1,000 admissions overall; P < .001). For each surveillance definition of CDI, there were significant differences in the total incidence rate between HCFs.Conclusions.The increasing incidence rates of CDI over time and across healthcare institutions and the correlation of CDI incidence in different surveillance categories suggest that CDI may be a regional problem and not isolated to a single HCF within a community.

scholarly journals An Evaluation of the Vulnerable Physician Workforce in the United States During the Coronavirus Disease-19 Pandemic

2020 ◽  
Author(s):  
Rohan Khera ◽  
Lovedeep Singh Dhingra ◽  
Snigdha Jain ◽  
Harlan M Krumholz
Keyword(s):  
United States ◽  
New York ◽  
State Level ◽  
The United States ◽  
Adverse Outcomes ◽  
Physician Workforce ◽  
Median Proportion ◽  
The Us ◽  
State Medical Boards ◽  
Age Over 60

BackgroundThe coronavirus disease-19 (COVID-19) pandemic threatens to overwhelm the healthcare resources of the country, but also poses a personal hazard to healthcare workers, including physicians. To address the potential impact of excluding physicians with a high risk of adverse outcomes based on age, we evaluated the current patterns of age of licensed physicians across the United States.MethodsWe compiled information from the 2018 database of actively licensed physicians in the Federation of State Medical Boards (FSMB) across the US. Both at a national- and the state-level, we assessed the number and proportion of physicians who would be at an elevated risk due to age over 60 years.ResultsOf the 985,026 licensed physicians in the US, 235857 or 23.9% were aged 25-40 years, 447052 or 45.4% are 40-60 years, 191794 or 19.5% were 60-70 years, and 106121 or 10.8% were 70 years or older. Age was not reported in 4202 or 0.4% of physicians. Overall, 297915 or 30.2% of physicians were 60 years of age or older, 246167 (25.0%) 65 years and older, and 106121 (10.8%) 70 years or older. States in the US reported that a median 5470 licensed physicians (interquartile range [IQR], 2394 to 10108) were 60 years of age or older. Notably, states of North Dakota (n=1180) and Vermont (n = 1215) had the lowest and California (n=50786) and New York (n=31582) the highest number of physicians over the age of 60 years (Figure 1). Across states, the median proportion of physicians aged 60 years and older was 28.9% (IQR, 27.2%, 31.4%), and ranged between 25.9% for Nebraska to 32.6% for New Mexico (Figure 2).DiscussionOlder physicians represent a large proportion of the US physician workforce, particularly in states with the worst COVID-19 outbreak. Therefore, their exclusion from patient care will be impractical. Optimizing care practices by limiting direct patient contact of physicians vulnerable to adverse outcomes from COVID-19, potentially by expanding their participation in telehealth may be a strategy to protect them.

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