External Validation and Comparison of Clostridioides difficile Severity Scoring Systems.

BACKGROUND: Many models have been developed to predict severe outcomes from Clostridioides difficile infection (CDI). These models are usually developed at a single institution and largely are not externally validated. Our aim in this study was to validate previously published risk scores in a multicenter cohort of patients with CDI. METHODS: This was a retrospective study on 4 inpatient cohorts with CDI from 3 distinct sites: the universities of Michigan (2010-2012 and 2016), Chicago (2012), and Wisconsin (2012). The primary composite outcome was admission to an intensive care unit, colectomy, and/or death attributed to CDI within 30 days of positive testing. Both within each cohort and combined across all cohorts, published CDI severity scores were assessed and compared to each other and the Infectious Diseases Society of America (IDSA) guideline definitions of severe and fulminant CDI. RESULTS: A total of 3646 patients were included for analysis. Including the 2 IDSA guideline definitions, 14 scores were assessed. Performance of scores varied within each cohort and in the combined set (mean area under the receiver operator characteristic curve [AuROC], 0.61; range, 0.53-0.66). Only half of the scores had performance at or better than IDSA severe and fulminant definitions (AuROCs of 0.64 and 0.63, respectively). Most of the scoring systems had more false than true positives in the combined set (mean, 81.5%; range, 0%-91.5%). CONCLUSIONS: No published CDI severity score showed stable, good predictive ability for adverse outcomes across multiple cohorts/institutions or in a combined multicenter cohort.

The Clinical Impact of Implementation of a Multidisciplinary Endocarditis Team.

BACKGROUND: Infectious endocarditis is associated with substantial in-hospital mortality of 15%-20%. Effective management requires coordination between multiple medical and surgical subspecialties, which can often lead to disjointed care. Previous European studies have identified multidisciplinary endocarditis teams as a tool for reducing endocarditis mortality. METHODS: The multidisciplinary endocarditis team was formed in May 2018. The group developed an evidence-based algorithm for management of endocarditis that was used to provide recommendations for hospitalized patients over a 1-year period. Mortality outcomes were then retroactively assessed and compared to a historical control utilizing propensity matching. RESULTS: Between June 2018 and June 2019 the team provided guideline-based recommendations on 56 patients with Duke Criteria-definite endocarditis and at least 1 American Heart Association indication for surgery. The historical control included 68 patients with definite endocarditis and surgical indications admitted between July 1, 2014, and June 30, 2015. In-hospital mortality decreased significantly from 29.4% in 2014-2015 to 7.1% in 2018-2019 (P < .0001). There was a non-significant increase in the rate of surgical intervention after implementation of the team (41.2% vs 55.4%; P = 0.12). Propensity score matching demonstrated similar results. CONCLUSIONS: Implementation of a multidisciplinary endocarditis team was associated with a significant 1-year decrease in all-cause in-hospital mortality for patients with definite endocarditis and surgical indications, in the presence of notable differences between the 2 studied cohorts. In conjunction with previous studies demonstrating their effectiveness, these data support the idea that widespread adoption of endocarditis teams in North America could improve outcomes for this patient population.

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

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.

The Role of Coronary Catheterization with Angiography in Surgically Managed Infectious Endocarditis.

BACKGROUND: Coronary catheterization with angiography is often performed prior to surgical valve replacement in infectious endocarditis. There are no existing data as to whether this intervention is clinically necessary or leads to a change in surgical management. In order to determine the frequency with which coronary angiography impacts surgical management in infectious endocarditis, we conducted a retrospective review of surgically managed endocarditis cases at a tertiary care medical center. METHODS: Utilizing the institutional Society of Thoracic Surgeon's database, we identified 598 patients with surgically managed endocarditis between April 29, 2011 and December 31, 2018. Patient variables were recorded, including risk factors for coronary artery disease, whether the patient received coronary angiography prior to surgery, and if the patient underwent coronary artery bypass grafting as part of their valve surgery. RESULTS: There were 430 patients who received coronary catheterization with angiography prior to surgical valve replacement for infectious endocarditis, and 168 patients proceeded to surgery without coronary angiography. Nine percent of patients underwent coronary artery bypass grafting at the time of valve replacement as a result of coronary angiography findings. There was no significant difference in 30-day mortality for patients with endocarditis who underwent coronary angiography when compared with those who did not receive coronary angiography (2.6 vs 2.4%; P = 0.89). CONCLUSIONS: Left heart catheterization with coronary angiography prior to surgical valve replacement leads to coronary artery bypass grafting in the minority of infective endocarditis patients.

Physician perceptions of a multidisciplinary endocarditis team.

Infectious endocarditis is a highly morbid infection that requires coordination of care across medical and surgical specialties, often through the use of a multidisciplinary team model. Multiple studies have demonstrated that such conferences can improve clinical outcomes. However, little is known about physicians' impressions of these groups. We surveyed 126 (response rate of 30%) internal medicine, infectious diseases, cardiology, and cardiac surgery providers 1 year after the implementation of an endocarditis team at the University of Michigan. Ninety-eight percent of physicians felt that the endocarditis team improved communication between specialties. Additionally, over 85% of respondents agreed that the group influenced diagnostic evaluation, reduced management errors, increased access to surgery, and decreased in-hospital mortality for endocarditis patients. These results suggest that multidisciplinary endocarditis teams are valued by physicians as a tool to improve patient care and serve an important role in increasing communication between providers.

A Resident-Led Initiative to Increase Documentation of Surrogate Decision Makers for Hospitalized Patients.

BACKGROUND: Identification of surrogate decision makers (SDMs) is an important part of advance care planning for hospitalized patients. Despite its importance, the best methods for engaging residents to sustainably improve SDM documentation have not been identified. OBJECTIVE: We implemented a hospital-wide quality improvement initiative to increase identification and documentation of SDMs in the electronic health record (EHR) for hospitalized patients, utilizing a Housestaff Quality and Safety Council (HQSC). METHODS: EHR documentation of SDMs for all adult patients admitted to a tertiary academic hospital, excluding psychiatry, were tracked and grouped by specialty in a weekly run chart during the intervention period (July 2015 through April 2016). This also continued postintervention. Interventions included educational outreach for residents, monthly plan-do-study-act cycles based on performance feedback, and a financial incentive of a one-time payment of 0.75% of a resident's salary put into the retirement account of each resident, contingent on meeting an SDM documentation target. Comparisons were made using statistical process control and chi-square tests. RESULTS: At baseline, SDMs were documented for 11.1% of hospitalized adults. The intervention period included 9146 eligible admissions. Hospital-wide SDM documentation increased significantly and peaked near the financial incentive deadline at 48% (196 of 407 admissions, P < 001). Postintervention, hospital-wide SDM documentation declined to 30% (134 of 446 admissions, P < .001), but remained stable. CONCLUSIONS: This resident-led intervention sustainably increased documentation of SDMs, despite a decline from peak rates after the financial incentive period and notable differences in performance patterns by specialty admitting service.

Optical map of the genotype A1 WB C6 Giardia lamblia genome isolate.

The Giardia lamblia genome consists of 12 Mb divided among 5 chromosomes ranging in size from approximately 1 to 4 Mb. The assembled contigs of the genotype A1 isolate, WB, were previously mapped along the 5 chromosomes on the basis of hybridization of plasmid clones representing the contigs to chromosomes separated by PFGE. In the current report, we have generated an MluI optical map of the WB genome to improve the accuracy of the physical map. This has allowed us to correct several assembly errors and to better define the extent of the subtelomeric regions that are not included in the genome assembly.