Hospital-onset Clostridioides Research Articles

Developing and reporting a healthcare-associated infection composite score for health system board review

Background One strategy for supporting a hospital or health system's board of directors (Board), with their quality oversight responsibility is to review the organization's performance on quality measures. But for large systems, the number of measures needing review is quite burdensome and makes priority setting difficult. Our goal was to develop a scoring method that summarizes multiple quality measures together, while still maintaining the Board's opportunity to examine individual measures where there are specific concerns. Methods We calculated an overall health system-level composite performance score using six publicly reported healthcare-associated infections reported by the Centers for Medicare and Medicaid Services on their Care Compare website [central-line associated bloodstream infections (CLABSI), catheter-associated urinary tract infections (CAUTI), surgical site infections (SSIs) for colon surgery and abdominal hysterectomy, hospital-onset Methicillin-resistant Staphylococcus aureus bacteremia (MRSA), and hospital-onset Clostridioides difficile ( C. diff)], where relative weights assigned to each infection type reflect the severity of patient harm. We also calculated a health-system composite performance target. For individual infection types, we calculated system-wide scores and targets and categorized individual hospital performance into three performance categories. Results The health system's composite score between 2015 and 2019 ranged from a high of 1.10 to a low of 0.71. The health system's composite score in 2017–2019 was better than the composite target. Of the 34 measures used to calculate the 2019 composite score, 20 were better than internal standardized infection ratio (SIR) targets, seven were between internal targets and SIR of 1.0, and seven were worse than SIR of 1.0. Discussion The Board communicated they find this composite score reporting approach helpful for streamlining their understanding of HAI performance, as compared to traditional approaches of reporting out individual performance measures. Approaches that streamline Board review of quality and safety performance are important as we hold Board members accountable for overseeing quality, seek greater engagement from the Board, and work to minimize measure review overload.

Hospital-Onset Clostridioides difficile infection in chronic kidney disease patients

Introduction: Hospital-onset Clostridioides difficile infection (HO-CDI), reported as laboratory-identified (LabID) event, is common in patients with chronic kidney disease (CKD), especially those with end-stage renal disease (ESRD), and is associated with prolonged length of hospitalization and more severe disease. CKD patients are at increased of developing CDI due to frequent antimicrobial and healthcare exposures. The objective of this study was to assess recent trends of HO-CDI in patients on a nephrology unit at our academic, tertiary care institution. Methods: Retrospective cross-sectional study of patients with HO-CDI who were hospitalized on a nephrology unit between January 2021 to December 2023. Collected variables included: demographic data, characterization of HO-CDI risk factors, infection and diagnosis (including prior history of CDI, toxin versus nucleic acid amplification test [NAAT] positivity, number of loose stools), CDI rate (defined as CDI count/patient days x1000), standardized antimicrobial administration ratio (SAAR) for high-risk for CDI antimicrobials (defined by the National Healthcare Safety Network), and infection prevention and control (IPC) practices, including hand hygiene audit rates. Results: A total of 30 HO-CDI infections were reported on the nephrology unit [Table], with 8 occurring in 2021, 5 in 2022, and 17 in 2023. The median age of patients was 70.8 (range: 37-96) years, and most patients (57%) were female. The majority of patients were admitted from home (73%), and two patients (7%) had a history of CDI in the last 6 months. Among the CDI cases, 60% were NAAT positive and toxin negative, and only 50% had >3 bowel movements (BM) within 24 hours prior to the positive test. Ten percent received promotility agents prior to testing. Most cases (77%) occurred when other CDI patients were on the unit. Hand hygiene compliance rates averaged 81% over the three-year period [Figure 1A]. Eight-four per cent of patients received antibiotics within 30 days of CDI diagnosis; SAAR was >1 for quarters 2 and 4 in 2022, and quarter 1 in 2023 [Figure 1B]. Conclusion: On our nephrology unit, patients often had < 3 BM within 24 hours of CDI diagnosis, and 60% of cases were toxin-negative, NAAT-positive, suggesting possible C. difficile colonization, rather than true infection. In addition, an elevated SAAR correlated with high CDI rates. Multicomponent interventions may be required to reduce the rates of HO-CDI in CKD patients. Opportunities include emphasis on diagnostic and antimicrobial stewardship, environmental cleaning and adherence to IPC practices, including hand hygiene.

ADS 25 - An Infection Preventionist driven early warning system reduces Hospital Onset Clostridioides difficile Laboratory Identified Events

ADS 25 - An Infection Preventionist driven early warning system reduces Hospital Onset Clostridioides difficile Laboratory Identified Events

ISR 13 - Implementing Data-Driven Quality Improvement Initiatives to Reduce Hospital-Onset Clostridioides difficile Infection Standardized Infection Ratio in an Acute Care Hospital

ISR 13 - Implementing Data-Driven Quality Improvement Initiatives to Reduce Hospital-Onset Clostridioides difficile Infection Standardized Infection Ratio in an Acute Care Hospital

CDC’s Hospital-Onset Clostridioides difficile Prevention Framework in a Regional Hospital Network

Despite modest reductions in the incidence of hospital-onset Clostridioides difficile infection (HO-CDI), CDI remains a leading cause of health care-associated infection. As no single intervention has proven highly effective on its own, a multifaceted approach to controlling HO-CDI is needed. To assess the effectiveness of the Centers for Disease Control and Prevention's Strategies to Prevent Clostridioides difficile Infection in Acute Care Facilities Framework (hereafter, the Framework) in reducing HO-CDI incidence. This quality improvement study was performed within the Duke Infection Control Outreach Network from July 1, 2019, through March 31, 2022. In all, 20 hospitals in the network participated in an implementation study of the Framework recommendations, and 26 hospitals did not participate and served as controls. The Framework has 39 discrete intervention categories organized into 5 focal areas for CDI prevention: (1) isolation and contact precautions, (2) CDI confirmation, (3) environmental cleaning, (4) infrastructure development, and (5) antimicrobial stewardship engagement. Monthly teleconferences supporting Framework implementation for the participating hospitals. Primary outcomes were HO-CDI incidence trends at participating hospitals compared with controls and postintervention HO-CDI incidence at intervention sites compared with rates during the 24 months before the intervention. The study sample included a total of 2184 HO-CDI cases and 7 269 429 patient-days. In the intervention cohort of 20 participating hospitals, there were 1403 HO-CDI cases and 3 513 755 patient-days, with a median (IQR) HO-CDI incidence of 2.8 (2.0-4.3) cases per 10 000 patient-days. The first analysis included an additional 3 755 674 patient-days and 781 HO-CDI cases among the 26 controls, with a median (IQR) HO-CDI incidence of 1.1 (0.7-2.7) case per 10 000 patient-days. The second analysis included an additional 2 538 874 patient-days and 1751 HO-CDI cases, with a median (IQR) HO-CDI incidence of 5.9 (2.7-8.9) cases per 10 000 patient-days, from participating hospitals 24 months before the intervention. In the first analysis, intervention sites had a steeper decline in HO-CDI incidence over time relative to controls (yearly incidence rate ratio [IRR], 0.79 [95% CI, 0.67-0.94]; P = .01), but the decline was not temporally associated with study participation. In the second analysis, HO-CDI incidence was declining in participating hospitals before the intervention, and the rate of decline did not change during the intervention. The degree to which hospitals implemented the Framework was associated with steeper declines in HO-CDI incidence (yearly IRR, 0.95 [95% CI, 0.90-0.99]; P = .03). In this quality improvement study of a regional hospital network, implementation of the Framework was not temporally associated with declining HO-CDI incidence. Further study of the effectiveness of multimodal prevention measures for controlling HO-CDI is warranted.

The role of the hospital bed in hospital-onset Clostridioides difficile: A retrospective study with mediation analysis.

To determine whether residing in a hospital bed that previously held an occupant with Clostridioides difficile increases the risk of hospital-onset C. difficile infection (HO-CDI). In this retrospective cohort study, we used a real-time location system to track the movement of hospital beds in 2 academic hospitals from April 2018 to August 2019. We abstracted patient demographics, clinical characteristics, and C. difficile polymerase chain reaction (PCR) results from the medical record. We defined patients as being exposed to a potentially "contaminated" bed or room if, within the preceding 7 days from their HO-CDI diagnosis, they resided in a bed or room respectively, that held an occupant with C. difficile in the previous 90 days. We used multivariable logistic regression to determine whether residing in a contaminated bed was associated with HO-CDI after controlling for time at risk and requiring intensive care. We assessed mediation and interaction from a contaminated hospital room. Of 25,032 hospital encounters with 18,860 unique patients, we identified 237 cases of HO-CDI. Exposure to a contaminated bed was associated with HO-CDI in unadjusted analyses (odds ratio [OR], 1.8; 95% confidence interval [CI], 1.4-2.31) and adjusted analyses (OR, 1.5; 95% CI, 1.2-2.0). Most of this effect was due to both mediation from and interaction with a contaminated hospital room. Residing in a hospital bed or room that previously had a patient with C. difficile increases the risk of HO-CDI. Increased attention to cleaning and disinfecting the healthcare environment may reduce hospital transmission of C. difficile.

136. Impact of a Tele-Stewardship and Tele-Infection Prevention Program on Hospital-Onset Clostridioides Difficile Rates in a Community Three-Hospital Health System

Abstract Background Clostridioides difficile infection (CDI) is a common hospital-acquired infection (HAI) that can be difficult to diagnose accurately given the numerous test modalities with differing performance characteristics. Inaccurate diagnosis of CDI can negatively affect patient care decisions as well as reimbursement rates. Community and rural hospitals (CARH) may lack specialized personnel or knowledge to implement diagnostic best practices, but telehealth solutions like tele-infection prevention (TIP) and tele-antimicrobial stewardship (TASP) can provide specialist support for CARHs to optimize diagnostic pathways, improve accuracy, and reduce unnecessary treatment. Methods In June 2021 under the guidance of TIP and TASP recommendations, C. difficile testing was transitioned from a 1-step nucleic acid amplification test (NAAT)-only algorithm to a 2-step algorithm that included NAAT and toxin enzyme immunoassay (EIA) testing. A 6-month pre- and post-implementation assessment was conducted to assess the impacts of this change in hospital-onset CDI (HO-CDI) case rate. Additionally, total C. difficile (community- and hospital-onset CDI) rates per 1000 patient days (PD) and consumption of CDI therapeutics were assessed. For statistical analysis, Wilcoxon ranked-sum test to assess changes in CDI rates. Estimated annualized cost-savings for therapeutics were calculated based on institutional purchasing costs. Results Following implementation, a 35.9% reduction in HO-CDI was observed (pre 0.96 cases/1000PD vs. 0.61 cases/1000PD; p = 0.054). A 10.2% reduction was observed in total CDI (pre 3.66 cases/1000PD vs. 3.28 cases/1000PD; p = 0.37). Additionally, a 30.6% reduction was observed in consumption of CDI therapeutics (20.1 doses/1000PD vs. 14.0 doses/1000PD) resulting in an annualized cost-savings of approximately $9200. Conclusion Our TIP and TASP advised a community three-hospital health system on optimal diagnostics resulting in a change in their algorithm. Following this, considerable reductions were observed in HO-CDI, total CDI, consumption of CDI therapeutics, and the associated costs of care. Disclosures Erin K. McCreary, PharmD, Abbvie: Advisor/Consultant|Ferring: Advisor/Consultant|GSK: Honoraria|La Jolla (Entasis): Advisor/Consultant|LabSimply: Advisor/Consultant|Merck: Advisor/Consultant|Shionogi: Advisor/Consultant|Shionogi: Honoraria

704. Antibiotic Use Audit in Hospital-onset Clostridioides difficile (HO-CDI) Cases in a Tertiary Medical Center in New York City

Abstract Background Hospital-onset Clostridioides difficile infection (HO-CDI) is a nosocomial infection that adversely impacts length of stay, morbidity, and mortality, and contributes to 6 billion dollars in U.S. healthcare expenditures. Our aim was to identify and categorize antibiotic prescribing patterns amongst patients with HO-CDI at our institution and design targeted interventions based on these findings. Methods A physician-assigned review of electronic medical records for all laboratory-confirmed cases of HO-CDI was conducted at Montefiore Medical Center Moses Campus (Bronx, NY) from July 2022 to March 2023. HO-CDI was defined using the CDC’s NHSN definition as a positive stool test for Clostridium difficile occurring after 3 days of hospital admission. Our hospital follows a 2-step testing algorithm: a positive test occurs when both glutamate dehydrogenase (GDH) and C. difficile toxin are detected. If there is discordance at this stage, a confirmatory polymerase chain reaction (PCR) test is performed. Formed stool specimens are rejected and Montefiore has institutional guidance for appropriate C. difficile testing. Antimicrobial choice, indication, and duration were reviewed. We characterized the inappropriateness of antibiotic use into 3 non-mutually exclusive categories (inappropriate indication, spectrum of activity, or duration). Results 77 HO-CDI cases were identified from 15 inpatient services encompassing medical, surgical, and intensive care services. Exposure to one or more antibiotics within 30 days prior to CDI diagnosis was seen in 88% of cases (n=68). Of these, 16 (23.5%) had inappropriate antibiotic use (Table 1). Antibiotics were used for longer than clinically indicated in 11 (69%) cases. Inappropriately broad-spectrum antibiotics were used in 9 (56%) cases. Antibiotic use was deemed unnecessary in 4 (25%) cases (Figure 1). The most frequently used antibiotics were piperacillin/tazobactam in 8 (50%) cases, followed by ceftriaxone in 5 (31%) cases, and meropenem in 2 (12.5%) cases (Figure 2). Conclusion Targeting inappropriate antibiotics is an important strategy to reduce HO-CDI. We intend to follow-up with directed provider feedback and education and heightened antibiotic stewardship efforts. Disclosures All Authors: No reported disclosures

Describing the monthly variability of hospital-onset Clostridioides difficile during early coronavirus disease 2019 (COVID-19) using electronic health record data.

To assess the relative risk of hospital-onset Clostridioides difficile (HO-CDI) during each month of the early coronavirus disease 2019 (COVID-19) pandemic and to compare it with historical expectation based on patient characteristics. This study used a retrospective cohort design. We collected secondary data from the institution's electronic health record (EHR). The Ohio State University Wexner Medical Center, Ohio, a large tertiary healthcare system in the Midwest. All adult patients admitted to the inpatient setting between January 2018 and May 2021 were eligible for the study. Prisoners, children, individuals presenting with Clostridioides difficile on admission, and patients with <4 days of inpatient stay were excluded from the study. After controlling for patient characteristics, the observed numbers of HO-CDI cases were not significantly different than expected. However, during 3 months of the pandemic period, the observed numbers of cases were significantly different from what would be expected based on patient characteristics. Of these 3 months, 2 months had more cases than expected and 1 month had fewer. Variations in HO-CDI incidence seemed to trend with COVID-19 incidence but were not fully explained by our case mix. Other factors contributing to the variability in HO-CDI incidence beyond listed patient characteristics need to be explored.

A 7-year analysis of attributable costs of healthcare-associated infections in a network of community hospitals in the southeastern United States.

We calculated the attributable cost of several healthcare-associated infections in a community hospital network: central-line-associated bloodstream infections (CLABSIs), catheter-associated urinary tract infections (CAUTIs), hospital-onset Clostridioides difficile infections (CDI-HOs) (43 hospitals); surgical site infections (SSIs) (40 hospitals). From 2016 to 2022, the total cost of CLABSIs, CAUTIs, CDI-HOs, and SSIs was $420,012,025.

Impact of mandatory nucleic acid amplification test (NAAT) testing approval on hospital-onset Clostridioides difficile infection (HO-CDI) rates: A diagnostic stewardship intervention.

Misclassification of Clostridioides difficile colonization as hospital-onset C. difficile infection (HO-CDI) can lead to unnecessary treatment of patients and substantial financial penalties for hospitals. We successfully implemented mandatory C. difficile PCR testing approval as a strategy to optimize testing, which was associated with a significant decline in the monthly incidence of HO-CDI rates and lowering of our standardized infection ratio to 0.77 (from 1.03) 18 months after this intervention. Approval request served as an educational opportunity to promote mindful testing and accurate diagnosis of HO-CDI.

Sustained Reduction of Hospital-Onset Clostridioides Difficile: A Multimodal Approach

Sustained Reduction of Hospital-Onset Clostridioides Difficile: A Multimodal Approach

A Seven-year Review of Hospital-onset Clostridioides Difficile Reduction and the Case for a Multidisciplinary Taskforce Approach

A Seven-year Review of Hospital-onset Clostridioides Difficile Reduction and the Case for a Multidisciplinary Taskforce Approach

Implementation of a multidisciplinary process to improve diagnostic stewardship of hospital-onset Clostridioides difficile infections

Testing inappropriate stool samples for Clostridioides (Clostridium) difficile can lead to theidentification of the patient colonized with Cdifficile and erroneous diagnosis of an active infection. We hypothesized that a multidisciplinary process to improve diagnostic stewardship could reduce our numbers of hospital-onset Cdifficile infection (HO-CDI). We created an algorithm describing appropriate stool specimens for polymerase chain reaction testing. The algorithm was converted into "ticket to test" checklist cards designed to accompany each specimen. Rejection of a specimen could occur via nursing staff or laboratory staff. A baseline period of comparison was established from January 1, 2017to June 30, 2017. Following implementation of all improvement strategies, a retrospective analysis was done, and the total number of HO-CDI cases in a 6-month period dropped from 57 to 32 cases. During the initial 3 months, the percentage of appropriate samples sent to the lab ranged from 41% to 65%. After the interventions were in place, the percentages improved between 71% and 91%. A multidisciplinary approach led to improved diagnostic stewardship to identify true CDI cases. This, in turn, reduced the number of reported HO-CDIs, and resulted in potentially more than $1,080,000 in patient care savings.

Risk factors for hospital-onset Clostridioides difficile infections before and during the severe acute respiratory syndrome coronavirus 2 pandemic

In this retrospective cohort from 3 Missouri hospitals from January 2017 to August 2020, hospital-onset Clostridioides difficile infectionswere more common during the severe acute respiratory syndrome coronavirus 2 pandemic at the tertiary care hospital. Risk factors associated with hospital-onset Cdifficileinfection included the year of hospitalization, age, high-risk antibiotic use, acid-reducing medications, chronic comorbidities, and severe acute respiratory syndrome coronavirus2 infection.

Utilization of a novel humble inquiry interview approach in assessing implementation barriers to a nurse-driven Clostridioides difficile test order set

Hospital onset Clostridioides difficile infection (CDI) causes significant disease burden and is associated with increased patient mortality. A nurse-driven CDI test order set had been implemented to reduce hospital-onset CDI, yet the order set was not being used. We employed a humble inquiry interview method to identify barriers to using the CDI test order set. The humble inquiry approach uncovered unexpected barriers and may be a robust method to identify additional infection prevention evidence-to-practice gaps.

Nurse Work Environment and Hospital-Onset Clostridioides difficile Infection.

Clostridioides difficile is the leading cause of hospital-onset diarrhea and is associated with increased lengths of stay and mortality. While some hospitals have successfully reduced the burden of C. difficile infection (CDI), many still struggle to reduce hospital-onset CDI. Nurses-because of their close proximity to patients-are an important resource in the prevention of hospital-onset CDI. Determine whether there is an association between the nurse work environment and hospital-onset CDI. Survey data of 2016 were available from 15,982 nurses employed in 353 acute care hospitals. These data, aggregated to the hospital level, provided measures of the nurse work environments. They were merged with 2016 hospital-onset CDI data from Hospital Compare, which provided our outcome measure-whether a hospital had a standardized infection ratio (SIR) above or below the national average SIR. Hospitals above the average SIR had more infections than predicted when compared to the national average. In all, 188 hospitals (53%) had SIRs higher than the national average. The odds of hospitals having higher than average SIRs were significantly lower, with odds ratios ranging from 0.35 to 0.45, in hospitals in the highest quartile for all four nurse work environment subscales (managerial support, nurse participation in hospital governance, physician-nurse relations, and adequate staffing) than in hospitals in the lowest quartile. Findings show an association between the work environment of nurses and hospital-onset CDI. A promising strategy to lower hospital-onset CDI and other infections is a serious and sustained commitment by hospital leaders to significantly improve nurse work environments.

Impact of Mandatory Infectious Disease Specialist Approval on Hospital-Onset Clostridioides difficile Infection Rates and Testing Appropriateness.

Inappropriate Clostridioides difficile testing is common in the hospital setting, leading to potential overdiagnosis of infection when single-step nucleic acid amplification testing is used. The potential role of infectious diseases (ID) specialists in enforcing appropriate C. difficile testing is unclear. At a single 697-bed academic hospital, we performed a retrospective study from 1 March 2012 to 31 December 2019 comparing hospital-onset C. difficile infection (HO-CDI) rates during 3 consecutive time periods: baseline 1 (37 months, no decision support), baseline 2 (32 months, computer decision support), and intervention period (25 months, mandatory ID specialist approval for all C. difficile testing on hospital day 4 or later). We used a discontinuous growth model to assess the impact of the intervention on HO-CDI rates. During the study period, we evaluated C. difficile infections across 331 180 admission and 1 172 015 patient-days. During the intervention period, a median of 1 HO-CDI test approval request per day (range, 0-6 alerts/day) was observed; adherence by providers with obtaining approval was 85%. The HO-CDI rate was 10.2, 10.4, and 4.3 events per 10 000 patient-days for each consecutive time period, respectively. In adjusted analysis, the HO-CDI rate did not differ significantly between the 2 baseline periods (P = .14) but did differ between the baseline 2 period and intervention period (P < .001). An ID-led C. difficile testing approval process was feasible and was associated with a >50% decrease in HO-CDI rates, due to enforcement of appropriate testing.

Predictors of hospital-onset Clostridioides difficile infection in children with antibiotic-associated diarrhea

BackgroundThis study aimed to determine the predictors of hospital-onset Clostridioides difficile infection (CDI) in pediatric patients with antibiotic-associated diarrhea (AAD) and to develop a predictive scoring system to identify at-risk patients. MethodsThis retrospective case-control study included patients aged ≥2-18 years with AAD who underwent C. difficile polymerase chain reaction testing >3 days after hospital admission. Patients with hospital-onset CDI were selected as cases and matched with the control patients without CDI. Univariate and multivariate logistic regressions were used to determine predictors of CDI and to construct a prediction score for the outcomes of interest. ResultsSixty-five patients with hospital-onset CDI and 130 controls were enrolled. Independent predictors for CDI identified and combined into the prediction score included abdominal pain (adjusted odds ratio [95% confidence interval]: 7.940 [3.254-19.374]), hospitalization for ≥14 days before the onset of diarrhea (3.441 [1.034-11.454]), antibiotic use for ≥10 days before the onset of diarrhea (6.775 [1.882-24.388]), receipt of meropenem (4.001 [1.098-14.577]) and clindamycin (14.842 [4.496-49.000]). The area under the receiver operating characteristic curve for this score was 0.883. ConclusionsThe presented scoring system can be easily applied by clinicians at the bedside to decide which patients with AAD are likely to have CDI.

Costs Attributable to Clostridioides difficile Infection Based on the Setting of Onset.

Although hospital-onset Clostridioides difficile infection (CDI) is associated with significant healthcare costs, the economic burden of CDI with onset in other facilities or the community has not been well studied. Incident CDI cases were identified using 2011-2017 Medicare fee-for-service data. Controls were randomly selected in a 4:1 ratio matching to the CDI case surveillance definition. Inverse probability of exposure weights were used to balance on measured confounders. One-, 3-, and 5-year cumulative costs attributable to CDI were computed using a 3-part estimator (parametric survival model and pair of 2-part models predicting costs separately in intervals where death did and did not occur). A total of 60 492 CDI cases were frequency-matched to 241 968 controls. One-, 3-, and 5-year adjusted attributable costs were highest for hospital-onset CDI at $14 257, $18 953, and $21 792, respectively, compared with hospitalized controls and lowest for community-associated CDI compared with community controls at $1013, $3161, and $6454, respectively. Adjusted 1-, 3-, and 5-year costs attributable to community-onset healthcare facility-associated CDI were $8222, $13 066, and $16 329 and for other healthcare facility-onset CDI were $5345, $6764, and $7125, respectively. Economic costs attributable to CDI in elderly persons were highest for hospital-onset and community-onset healthcare facility-associated CDI. Although lower, attributable costs due to CDI were significantly higher in cases with CDI onset in the community or other healthcare facility than for comparable persons without CDI. Additional strategies to prevent CDI in the elderly are needed to reduce morbidity and healthcare expenditures.