Healthcare Facility-onset Research Articles

670. Clinical Characteristics and Outcomes in Patients with Healthcare Facility-Onset Clostridiodes difficile Infections

Abstract Background Healthcare facility-onset (HCFO) Clostridiodes difficile infection (CDI) is the most common hospital-acquired infection. Although risk factors associated with CDI have been described, characterization and outcome of HFCO-CDI are limited. Methods This was a retrospective observational study comparing disease severity among adult patients with HCFO-CDI from January 1, 2020, to December 31, 2022, at an 877-bed tertiary care hospital in Detroit. Patients were identified using National Healthcare Safety Network (NHSN) definition. CDI was classified as nonsevere, severe, or fulminant. Severe disease was defined as having white blood cell (WBC) count ≥ 15,000 cells/mm3 or acute kidney injury (AKI) defined as increase in creatinine of ≥ 0.3mg/dL within 48 hours of diagnosis. Fulminant disease included patients with ileus or toxic megacolon, or need for colectomy, intensive care unit or vasopressors. Risk factors, treatment and outcomes were evaluated. Results 98 patients were diagnosed with HFCO CDI during the study period (Table 1); 37 (38%) were non-severe, 47 (38%) severe and 14 (24%) fulminant. Median age was 66 years, 50% were female and 45% white. Almost half were immune suppressed; 5% had prior CDI. Most patients (88%) were exposed to antibiotics (abx) prior to CDI with no difference between the groups (p=0.427); 61% received cephalosporins. Cirrhosis was more common among patients with fulminant disease (p=0.048) and receipt of chemotherapy was associated with severe and/or fulminant disease cases (p=0.049). AKI (p< 0.001), fever (p=0.030), and WBC >25,000 or < 2,000 cells/mm3 (p< 0.001) were more prevalent among patients with fulminant CDI; combination or alternative therapy was more common among fulminant cases (p< 0.001). Most were eligible, but only 6% received bezlotoxumab (BZX). Although outcomes were not significantly different between the groups, length of stay was longer and refractory disease and recurrence were more common in severe/fulminant CDI. Conclusion In our HCFO-CDI cohort, most patients were exposed to abx, and cirrhosis and chemotherapy were associated with more severe CDI. Efforts should focus on appropriate abx utilization and increasing use of BZX to reduce burden of CDI and risk of recurrence and readmission. Disclosures All Authors: No reported disclosures

Increased Incidence and Risk of Septicemia and Urinary Tract Infection After Clostridioides difficile Infection.

Although increased occurrence of septicemia in persons with Clostridioides difficile infection (CDI) has been reported, incidence rates and risk of septicemia and urinary tract infection (UTI) after CDI are unclear. The first episode of CDI was identified using 2011-2017 MarketScan and CMS Medicare data and CDI cases categorized by standard surveillance definitions. Uninfected persons were frequency matched 4:1 to cases by the CDI case surveillance definition. Multivariable Cox proportional hazards models were used to identify risk factors for septicemia and UTI within 90 days of CDI onset, accounting for the competing risk of death in the Medicare population. The incidence of septicemia was highest after hospital-onset CDI in the Medicare, younger commercial, and younger Medicaid populations (25.5%, 15.7%, and 19.5%, respectively) and lowest in those with community-associated CDI (3.8%, 4.3%, and 8.3%, respectively). In contrast, the incidence of UTI was highest in those with other healthcare facility onset CDI in all 3 populations (32.1%, 24.2%, and 18.1%, respectively). Hospital-onset CDI was associated with highest risk of septicemia compared with uninfected controls in all 3 populations. In the younger populations, risk of septicemia was more uniform across the CDI surveillance definitions. The risk of UTI was significantly higher in all CDI surveillance categories compared to uninfected controls, and among CDI cases it was lowest in those with community-associated CDI. The incidence of septicemia is high after CDI, particularly after hospital-onset infection. Additional preventive measures are needed to reduce infectious complications of CDI.

Surveillance and epidemiology of Clostridioides difficile infection using the national health surveillance network criteria: A 7-year study from Mumbai, India

IntroductionClostridioides difficile (CD) is a significant cause of morbidity and mortality. While considerable data is available in the developed world regarding Clostridioides difficile infection (CDI), Indian data is sparse especially using the standardized surveillance systems. Aim and objectives of the studyTo identify the incidence, risk factors, and mortality rate associated with CDI in a tertiary care hospital based on the Laboratory-Identified (LabID) event criteria of the Centers for Disease Control and Prevention (CDC) National Health Surveillance Network (NHSN). Materials and methodsDuring a 7- year prospective observational study, CDI was diagnosed using CD polymerase chain reaction (PCR). CDI Laboratory-Identified (LabID) events were classified using the CDC NHSN surveillance definition, and CDI incidence was calculated per 10,000 Patient Days (PDs). Clinical details were collected as part of healthcare-associated infection (HCAI) surveillance. Healthcare Facility-Onset (HO) and Community-Onset Healthcare Facility-Associated (CO-HCFA) incident CDI events were analyzed further. ResultsAmong 898 tested stool samples, 77 CDI LabID events were observed, with 68 being Incident events. Of 68 events, 76.5% (52/68), 19.1% (13/68), and 4.4% (3/68) were HO, Community-Onset (CO), and CO-HCFA CDI events respectively. The overall incidence of CDI events was 1.66 per 10,000 PDs. Risk factors observed were antibiotics exposure (100%), comorbidities (87.3%), antacids exposure (87.3%), age over 60 years (80%), and hospitalization within the past 6 months (67.3%). The crude mortality rate was 25.5% (14/55). ConclusionThese findings highlight the predominance of HO-CDI and the need for further investigation into CO-CDI in the Indian context to identify at-risk populations. Utilizing standardized surveillance methods such as NHSN definitions can facilitate accurate disease burden estimation, trend monitoring, and meaningful comparisons with global data.

Association between epidemiologic case definition categories and adverse clinical outcome in patients with Clostridiodes difficile infection in San Francisco County, California: a five-year retrospective cohort study

BackgroundUnderstanding the predictors of adverse clinical outcomes following incident Clostridiodes difficile infection (CDI) can help clinicians identify which patients are at risk of complications and help prioritize the provision of their care. In this study, we assessed the associations between epidemiologic case definition categories and adverse clinical outcomes in patients with CDI in San Francisco County, California.MethodsWe conducted a retrospective cohort study using CDI surveillance data (n = 3274) from the California Emerging Infections Program for the time period 2016 to 2020. After independent associations were established, two multivariable logistic and log-binomial regression models were constructed for the final statistical analysis.ResultThe mean cumulative incidence of CDI cases was 78.8 cases per 100,000 population. The overall recurrence rate and the 30-day all-cause mortality rate were 11.1% and 4.5%, respectively. After adjusting for potential confounders, compared to the community associated CDI cases, healthcare facility onset (AOR = 3.1; 95% CI [1.3–7]) and community-onset-healthcare facility associated (AOR = 2.4; 95% CI [1.4–4.3]) CDI cases were found to have higher odds of all-cause 30-day mortality. Community onset-healthcare facility-associated CDI case definition category was found to be significantly associated with an increased risk of recurrence of CDI (ARR = 1.7; 95% CI [1.2–2.4]).ConclusionAlthough the incidence of community-associated CDI cases has been rising, the odds of all-cause 30-day mortality and the risk of recurrent CDI associated with these infections are lower than healthcare facility onset and community-onset healthcare facility-associated CDI cases.

Role of diagnostic stewardship in reducing healthcare-facility-onset Clostridioides difficile infections.

We describe the implementation of an electronic medical record "hard stop" to decrease inappropriate Clostridioides difficile testing across a 5-hospital health system, effectively reducing the rates of healthcare-facility-onset C. difficile infection. This novel approach included expert consultation with medical director of infection prevention and control for test-order override.

2028. Reduction in Health Care Facility Onset Catheter-Associated Urinary Tract Infections: A Resident-Led Quality Improvement Initiative

Abstract Background Hospital-acquired catheter-associated urinary tract infection (CAUTI) was estimated to cause 19,700 cases in 2020 across the United States per the Centers for Disease Control and Prevention (CDC). While this is a 25% decrease in reported incidence rates since 2015, ad-hoc changes in care practices and limitations of surveillance definitions brought on by the giant burden of COVID-19 on the healthcare system possibly resulted in underreporting of CAUTIs. In a 290-bed tertiary, community hospital in the Detroit metropolitan area, there was a 200% increase CAUTIs from 2020 (5 CAUTIs) to 2021(16 CAUTIs). A multidisciplinary, resident-led team was assembled to reduce hospital-acquired CAUTIs. Methods A multi-pronged quality improvement initiative was conducted from January 1, 2021, through March 31, 2022. CAUTIs were identified and reviewed via electronic health records using predefined criteria related to CDC surveillance definitions, urinary catheter insertion indications, laboratory data, and antibiotic use. Plan-Do-Study-Act (PDSA) Cycle model was used to guide the initiative. Thus far one PDSA cycle has been completed. The initial intervention bundle was designed by the multidisciplinary team and led by internal medicine and transitional year residents. The intervention bundle included 1. Provider (including physician and RN) education, 2. Design and implementation of an appropriate urinary catheter practice algorithm, and 3. Expert review of positive urine cultures and CAUTI cases. Results Baseline data collected from January to December 2021 showed 16 CAUTIs. Post-implementation of the intervention bundle from January to March 2022 resulted in a 75% reduction in CAUTI incidence (1 CAUTI flagged). Conclusion A targeted intervention bundle improved CAUTI incidence by reducing inappropriate urinary catheter insertion and prolonged removal. Ongoing local initiatives focused on hospital-acquired infections, such as this one, are paramount to the persistent optimization of infection prevention despite national trends. Disclosures All Authors: No reported disclosures.

Evidence of within-facility patient-patient Clostridiodes difficile infection spread across diverse settings.

Previous studies have suggested that a hospital patient's risk of developing healthcare facility-onset (HCFO) Clostridioides difficile infections (CDIs) increases with the number of concurrent spatially proximate patients with CDI, termed CDI pressure. However, these studies were performed either in a single institution or in a single state with a very coarse measure of concurrence. We conducted a retrospective case-control study involving over 17.5 million inpatient visits across 700 hospitals in eight US states. We built a weighted, directed network connecting overlapping inpatient visits to measure facility-level CDI pressure. We then matched HCFO-CDIs with non-CDI controls on facility, comorbidities and demographics and performed a conditional logistic regression to determine the odds of developing HCFO-CDI given the number of coincident patient visits with CDI. On average, cases' visits coincided with 9.2 CDI cases, which for an individual with an average length of stay corresponded to an estimated 17.7% (95% CI 12.9-22.7%) increase in the odds of acquiring HCFO-CDI compared to an inpatient visit without concurrent CDI cases or fully isolated from both direct and indirect risks from concurrent CDI cases. These results suggest that, either directly or indirectly, hospital patients with CDI lead to CDIs in non-infected patients with temporally overlapping visits.

Methicillin-resistant Staphylococcus aureus bacteremia during the coronavirus disease 2019 (COVID-19) pandemic: Trends and distinguishing characteristics among patients in a healthcare system in New York City.

During the pandemic, the rate of healthcare facility-onset methicillin-resistant Staphylococcus aureus (MRSA) bacteremia was 5 times greater in patients admitted with coronavirus disease 2019 (COVID-19). The presence of central lines and mechanical ventilation likely contribute to this increased rate. The number of central-line-associated bacteremia cases may be underestimated in patients with COVID-19.

Role of diagnostic stewardship in reducing healthcare facility-onset Clostridioides difficile infections

Background:Clostridioides difficile infection (CDI) is the most common healthcare-associated infection (HAI) in the United States. Healthcare facility-onset (HO) CDI reporting is a laboratory-identified (LabID) event and does not rely on symptoms. Inappropriate testing can lead to overdiagnosis in patients who are colonized, especially in those receiving promotility agents. Approximately 45% of HO-CDI cases at our institution occurred in the setting of laxative use in 2019. We assessed the effectiveness of an electronic medical record (EMR) “hard stop” in reducing inappropriate CDI testing and its impact on HO-CDI rates. Methods: We conducted a pre–post quasi-experimental retrospective study comparing test order rates per 1,000 patient days, CDI rate per 1,000 patient days, and standardized infection ratio (SIR) in the preintervention period (January 2018–December 2019) to the intervention period (April 2020–September 2021), at a 5-hospital healthcare system in southeastern Michigan. In February 2020, we implemented a hard stop in Epic that was triggered >3 days after admission for the following criteria: patients <1 year of age; repeated testing within 7 days, and receipt of promotility agents within 48 hours. After discontinuing the promotility agents for at least 48 hours, providers were allowed to place an order if diarrhea persisted. The medical director of infection prevention and control or designee had the ability to override the hard stop when deemed necessary after reviewing the case upon provider request. All orders expired after 24 hours if a specimen was not collected. We retrospectively reviewed the number of overrides after the intervention to determine the positivity rate. Results: Our CDI rates per 1,000 patient days were 3.21 in the preintervention period and 1.48 in the postintervention period, a 54% reduction (Fig. 1). The test order rates were 119.4 in the preintervention period and 87.7 in the postintervention period, a 26.5% reduction (Fig. 2). The SIR decreased from 0.542 in the preintervention period to 0.361 in the postintervention period, a 33% reduction (95% CI, 0.54–0.82; P = .0001). After the intervention, 299 patients had an override. Of these, samples from 218 patients (72.9%) were negative, 50 orders (16.7%) were cancelled, and 28 samples (9%) were positive. Conclusions: Diagnostic stewardship, utilizing an electronic hard stop, was effective in reducing inappropriate C. difficile testing in the setting of promotility agents without delaying diagnosis of HO-CDI. This strategy combined with standard best practices can significantly reduce HO-CDI rates.Funding: NoneDisclosures: None

Risk factors and clinical outcomes for Clostridioides difficile infections in a case control study at a large cancer referral center in Mexico

IntroductionClostridioides difficile infection (CDI) is recognized as the leading cause of nosocomial diarrhea. This study describes CDI's clinical characteristics, risk factors, and outcomes in the cancer population. MethodsWe conducted a case-control study on cancer patients from 2015-2018 at the Instituto Nacional de Cancerologia in Mexico. CDI case was defined as diarrhea episode and positive polymerase chain reaction (PCR) for toxigenic strains. Controls were cancer diagnosis-matched patients with diarrhea and negative PCR. Healthcare Facility-Onset (HO-CDI) and Community-Onset, Healthcare Facility-Associated (CO-HCFA-CDI) rates were calculated. For assessing associations, univariate and multivariate logistic regression analyses were conducted. ResultsWe included 148 CDI cases and 148 controls. The CDI rate was 4.1 per 10,000 patient-days and 2.1 per 1,000 patient admissions for HO-CDI and CO-HCFA-CDI episodes, respectively. Clinical characteristics associated with CDI were fever, abdominal pain, and ≥4 episodes of diarrhea/24h. Previous use of proton pump inhibitors (P=.003), fluoroquinolones (P=.016), and cephalosporins (P=.026) increased the risk for CDI acquisition, while higher age (P=.022) and male gender (P=.015) were related to severe episodes. Thirty-day all-cause mortality was higher among CDI patients (18%) than controls (9%). ConclusionThe CDI rate was lower compared to other series. The incidence of CO-HCFA-CDI episodes increased, and HO-CDI cases decreased from 2016 to 2018. Risk factors for acquisition and severe infection were similar to those reported in non-cancer populations.

752. Costs Attributable to Clostridioides difficile Infection in the Presence of Differential Mortality

BackgroundCDI imposes a major burden on the U.S. healthcare system. Obtaining accurate estimates of economic costs is critical to determining the cost-effectiveness of preventive measures. This task is complicated by differences in epidemiology, mortality, and baseline health status of infected and uninfected individuals, and by the statistical properties of costs data (e.g., right-skewed, excess of zeros costs).MethodsIncident CDI cases were identified from Medicare 5% fee-for-service data between 2011 and 2017 and classified into standard surveillance definitions: hospital-onset (HO); other healthcare facility-onset (OHFO); community-onset, healthcare-associated (CO-HCFA); or community-associated (CA). Cases were frequency matched 1:4 to uninfected controls based on age, sex, and year of CDI. Controls were assigned to surveillance definitions based on location at index dates. Medicare allowed costs were summed in 30-day intervals up to 3 years following index. One- and 3-year cumulative costs attributable to CDI were computed using a 3-part estimator consisting of a parametric survival model and a pair of 2-part models predicting costs separately in intervals where death did and did not occur, adjusting for underlying acute and chronic conditions.Results60,492 CDI cases (Figure 1) were matched to 241,968 controls. Three-year mortality was higher among CDI cases compared to matched controls for HO (45% vs 26%) and OHFO (42% vs 36%), whereas mortality was slightly lower for CDI cases compared to controls for those with community onset (CO-HCFA: 28% vs 32%; CA: 10% vs 11%). One- and 3-year attributable costs due to CDI are shown in Figure 2. Adjusted 1-year attributable costs amounted to &26,954 (95% CI: &26,154–&27,939) for HO; &10,539 (&9,564–&11,518) for OHFO; &6,525 (&5,012–&8,171) for CO-HCFA; and &3,171 (&1,841–&4,200) for CA. Adjusted 3-year attributable costs were &44,736 (&43,063–&46,483) for HO; &13,994 (&12,529–&15,975) for OHFO; &7,349 (&4,738–&10,246) for CO-HCFA; and &2,377 (&166–&4,722) for CA.Figure 1. Proportion of Cases by CDI Surveillance Definitions Abbreviations: HO: hospital-onset; OHFO: other healthcare facility-onset; CO-HCFA: community-onset, healthcare-associated; CA: community-associated.Figure 2. Estimates of Costs Attributable to CDI by CDI Surveillance Definitions at One and Three Years after Onset Top panels: One-year cost estimates. Bottom panels: Three-year cost estimates. Abbreviations: HO: hospital-onset; OHFO: other healthcare facility-onset; CO-HCFA:community-onset, healthcare-associated; CA:community-associated.ConclusionCDI was associated with increased healthcare costs across surveillance definitions in Medicare fee-for-service patients after adjusting for survival and underlying conditions.Disclosures Dustin Stwalley, MA, AbbVie Inc (Shareholder)Bristol-Myers Squibb (Shareholder) Margaret A. Olsen, PhD, MPH, Pfizer (Consultant, Research Grant or Support) Holly Yu, MSPH, Pfizer (Employee) Erik R. Dubberke, MD, MSPH, Ferring (Grant/Research Support)Merck (Consultant)Pfizer (Consultant, Grant/Research Support)Seres (Consultant)Summit (Consultant)

753. Impact of COVID-19 on Healthcare Facility-Onset Clostridiodes difficile Infection

BackgroundIt is estimated that the majority of hospitalized COVID-19 patients around the world received antibiotics despite the fact that bacterial co-infections are rare. This can lead to increased antimicrobial resistance and Clostridioides difficile infections (CDI). Gastrointestinal symptoms of COVID-19 may also contribute to increased testing. The objective of this study was to assess the impact of the COVID-19 pandemic on our healthcare facility-onset (HO) CDI rates.MethodsThis was a retrospective cross-sectional study comparing CDI rate per 1,000 patient days, C. diff order rate per 1,000 patient days, Standardized Antimicrobial Administration Ratio (SAAR), and Standardized Infection Ratio (SIR) in the pre-COVID-19 period from January 1, 2019 to December 31, 2019 to the COVID-19 period from April 1, 2020 to March 31, 2021 at a 877-bed tertiary care hospital in Detroit, Michigan. CDI and order rates were extracted from the electronic medical record (Epic™ Bugsy). SAAR and SIR data were extracted from National Healthcare Safety Network (NHSN).ResultsThe average CDI rate per 1,000 patient days was 4.29 pre-COVID-19 compared to 1.98 during COVID-19 with a 54% reduction, and the C. diff order rate per 1,000 patient days also decreased from 130.89 to 93.03, resulting in a 29% reduction (Figure 1). The SIR was 0.383 compared to 0.308 during COVID-19 (P-value 0.404). SAAR decreased from 1.095 to 0.945 (P-value < 0.001). However, our institution experienced three COVID-19 waves, with peaks in April 2020, November 2020 and March 2021, that correlated with high risk CDI antibiotic utilization in intensive care unit (ICU) (Figure 2). The average hand hygiene rate increased from 82% to 92%. Figure 1. Clostridioides difficile order and infection rates pre-and during COVID-19 pandemic. Figure 2. Standardized Antimicrobial Administration Ratio (SAAR) pre-and during COVID-19 pandemic.ConclusionDespite the COVID-19 pandemic, the HO-CDI and C. diff order rates and overall SAAR decreased; however, antibiotic utilization increased in the ICU during the COVID-19 waves. The overall decrease may be multifactorial and related to increased hand hygiene compliance, isolation and personal protective equipment use and overall decreased antibiotic use and C. diff orders.Disclosures Rachel Kenney, PharmD, Medtronic, Inc. (Other Financial or Material Support, spouse is an employee and shareholder)

764. Will the Addition of Probiotics to Patients Receiving Intravenous Antimicrobial Therapy Reduce the Incidence of Healthcare Facility-Onset Clostridium difficile Infection?

Abstract Background Exposure to antimicrobials is a known risk factor for Clostridium difficile infection (CDI). Antimicrobials cause collateral damage by disrupting the natural intestinal microbiota allowing for C.difficile to thrive and production of C.difficile toxins. Probiotics could modulate the onset and course of CDI. However, the data on probiotics for the prevention of CDI is conflicting. Methods We conducted an IRB approved retrospective cohort study at a 340-bed community hospital. All hospitalized patients from August 1, 2017 through July 31, 2020 were evaluated for enrollment. Patients were included if they received at least one dose of intravenous (IV) antibiotic and had a length of stay of at least 3 days. Patients were excluded if they were younger than 18 years, or if they had a positive C.difficile polymerase chain reaction test before antibiotics were started. The primary outcome was the incidence of healthcare facility-onset Clostridium difficile infection (HO-CDI). Descriptive statistics were used to analyze demographics data, and the primary outcome of HO-CDI was analyzed using Fisher’s exact test and multiple logistic regression. Results A total of 20,257 patients received IV antibiotics during the study time frame. Of these, 2,659 patients received probiotics. Primary outcome of HO-CDI occurred in 46 patients in the IV antibiotics alone cohort (0.26%) and 5 patients in the probiotics plus IV antibiotics cohort (0.19%). The difference in HO-CDI between these two groups was not statistically significant, p=0.677. A multiple logistic regression was performed to see the impact of proton pump inhibitor use, age, ICU admission, Charlson Comorbidity Index, probiotic use and CDI in the past 12 months on the primary outcome. C.difficile infection in prior 12 months [OR 3.37, 95%CI 1.04-10.97] and ICU admission [OR 1.81, 95%CI 1.02-3.19] were associated with higher CDI. The addition of probiotics to patients on IV antibiotics did not exhibit a protective effect [OR 0.72, 95% CI 0.28-1.81]. Conclusion The addition of probiotics to standard of care was not beneficial in the prevention of HO-CDI. We endorse robust antibiotic stewardship practices as part of the standard of care bundle that institutions should employ to decrease the incidence of HO-CDI. Disclosures All Authors: No reported disclosures

Antibiotic Use in Patients With β-Lactam Allergies and Pneumonia: Impact of an Antibiotic Side Chain-Based Cross-Reactivity Chart Combined With Enhanced Allergy Assessment.

Backgroundβ-lactam antibiotics with dissimilar R-group side chains are associated with low cross-reactivity. Despite this, patients with β-lactam allergies are often treated with non-β-lactam alternative antibiotics. An institutional β-lactam side chain–based cross-reactivity chart was developed and implemented to guide in antibiotic selection for patients with β-lactam allergies.MethodsThis single-center, retrospective cohort study analyzed the impact of the implementation of the cross-reactivity chart for patients with pneumonia. Study time periods were defined as January 2013 to October 2014 prior to implementation of the chart (historical cohort) and January 2017 to October 2018 (intervention cohort) following implementation. The primary outcome was the incidence of β-lactam utilization between time periods. Propensity-weighted scoring and interrupted time-series analyses compared outcomes.ResultsA total of 341 and 623 patient encounters were included in the historical and intervention cohorts, respectively. There was a significantly greater use of β-lactams in the intervention cohort (70.4% vs 89.3%; P < .001) and decreased use of alternative therapy (58.1% vs 36%; P < .001). There was no difference in overall allergic reactions between cohorts (2.4% vs 1.6%; P = .738) or in reactions caused by β-lactams (1.3% vs 0.9%; P = .703). Inpatient mortality increased (0% vs 6.4%; P < .001); however, no deaths were due to allergic reactions. Healthcare facility–onset Clostridioides difficile infections decreased between cohorts (1.2% vs 0.2%; P = .032).ConclusionsImplementation of a β-lactam side chain–based cross-reactivity chart and enhanced allergy assessment was associated with increased use of β-lactams in patients with pneumonia without increasing allergic reactions.

Reduction in Health Care Facility-Onset Clostridioides difficile Infection: A Quality Improvement Initiative.

ObjectiveTo reduce health care facility–onset (HCFO) Clostridioides difficile infection (CDI) incidence by improving diagnostic stewardship and reducing the inappropriate testing of C difficile assays.Patients and MethodsA multidisciplinary team conducted a quality improvement initiative from January 1, 2020, through March 31, 2021. Clostridioides difficile infection and inappropriate testing were identified via electronic health records using predefined criteria related to stool quantity/caliber, confounding medications, and laboratory data. An intervention bundle was designed including (1) provider education, (2) implementation of an appropriate testing algorithm, (3) expert review of C difficile orders, and (4) batch testing of assays to facilitate review and cancellation if inappropriate.ResultsCompared with a baseline period from January to September 2020, implementation of our intervention bundle from December 2020 to March 2021 resulted in an 83.6% reduction in inappropriate orders tested and a 41.7% reduction in HCFO CDI incidence.ConclusionA novel prevention bundle improved C difficile diagnostic stewardship and HCFO CDI incidence by reducing testing of inappropriate orders. Such initiatives targeting HCFO CDI may positively affect patient safety and hospital reimbursement.

Laboratory-identified vancomycin-resistant enterococci bacteremia incidence: A standardized infection ratio prediction model.

We analyzed 2017 healthcare facility-onset (HO) vancomycin-resistant Enterococcus (VRE) bacteremia data to identify hospital-level factors that were significant predictors of HO-VRE using the Centers for Disease Control and Prevention (CDC) National Healthcare Safety Network (NHSN) multidrug-resistant organism and Clostridioides difficile reporting module. A risk-adjusted model that can be used to calculate the number of predicted HO-VRE bacteremia events in a facility was developed, thus enabling the calculation of VRE standardized infection ratios (SIRs). Acute-care hospitals reporting at least 1 month of 2017 VRE bacteremia data were included in the analysis. Various hospital-level characteristics were assessed to develop a best-fit model and subsequently derive the 2018 national and state SIRs. In 2017, 470 facilities in 35 states participated in VRE bacteremia surveillance. Inpatient VRE community-onset prevalence rate, average length of patient stay, outpatient VRE community-onset prevalence rate, and presence of an oncology unit were all significantly associated (all 95% likelihood ratio confidence limits excluded the nominal value of zero) with HO-VRE bacteremia. The 2018 national SIR was 1.01 (95% CI, 0.93-1.09) with 577 HO bacteremia events reported. The creation of an SIR enables national-, state-, and facility-level monitoring of VRE bacteremia while controlling for individual hospital-level factors. Hospitals can compare their VRE burden to a national benchmark to help them determine the effectiveness of infection prevention efforts over time.

Evaluation of a risk assessment model to predict infection with healthcare facility-onset Clostridioides difficile.

DisclaimerIn an effort to expedite the publication of articles related to the COVID-19 pandemic, AJHP is posting these manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time.PurposeWe evaluated a previously published risk model (Novant model) to identify patients at risk for healthcare facility–onset Clostridioides difficile infection (HCFO-CDI) at 2 hospitals within a large health system and compared its predictive value to that of a new model developed based on local findings.MethodsWe conducted a retrospective case-control study including adult patients admitted from July 1, 2016, to July 1, 2018. Patients with HCFO-CDI who received systemic antibiotics were included as cases and were matched 1 to 1 with controls (who received systemic antibiotics without developing HCFO-CDI). We extracted chart data on patient risk factors for CDI, including those identified in prior studies and those included in the Novant model. We applied the Novant model to our patient population to assess the model’s utility and generated a local model using logistic regression–based prediction scores. A receiver operating characteristic area under the curve (ROC-AUC) score was determined for each model.ResultsWe included 362 patients, with 161 controls and 161 cases. The Novant model had a ROC-AUC of 0.62 in our population. Our local model using risk factors identifiable at hospital admission included hospitalization within 90 days of admission (adjusted odds ratio [OR], 3.52; 95% confidence interval [CI], 2.06-6.04), hematologic malignancy (adjusted OR, 12.87; 95% CI, 3.70-44.80), and solid tumor malignancy (adjusted OR, 4.76; 95% CI, 1.27-17.80) as HCFO-CDI predictors and had a ROC-AUC score of 0.74.ConclusionThe Novant model evaluating risk factors identifiable at admission poorly predicted HCFO-CDI in our population, while our local model was a fair predictor. These findings highlight the need for institutions to review local risk factors to adjust modeling for their patient population.

Epidemiology and Outcomes of Patients With Healthcare Facility-Onset Clostridioides difficile Infection.

Clostridioides difficile infection (CDI) has become a rising public health threat. Our study aims to characterize the epidemiology and measure the attributable cost, length of stay, and in-hospital mortality of healthcare facility-onset Clostridioides difficile infection (HO-CDI) among patients in the U.S. Military Health System (MHS). We performed a case-control and cross-sectional inpatient study of HO-CDI using MHS database billing records. Cases included those who were at least 18 years of age admitted to a military treatment facility with a stool sample positive for C. difficile obtained >3 days after admission. Risk factors in the preceding year were identified. Patient case-mix adjusted outcomes including in-hospital mortality, length of stay, and hospitalization cost were evaluated by high-dimensional propensity score adjusted logistic regression. Among 474,518 admissions within the MHS from 2008 to 2015, we identified 591 (0.12%) patients with HO-CDI and found a significant increase in the trend of HO-CDI over the 7-year study period (P < .001). Patients with HO-CDI had significantly higher hospitalization cost (attributable difference $66,044, P < .001), prolonged hospital stay (attributable difference 12.4 days, P < 0.001), and increased odds of in-hospital mortality (case-mix adjusted odds ratio 1.98; 95% CI, 1.43-2.74). Healthcare facility-onset Clostridioides difficile infection is rising in patients within the MHS and is associated with increased length of stay, hospital costs, and in-hospital mortality. We identified a significantly increased burden of hospitalization among patients admitted with HO-CDI, highlighting the importance of infection control and antimicrobial stewardship initiatives aimed at decreasing the spread of this pathogen.

Trends in Healthcare Facility-Onset Clostridioides difficile Infection and the Impact of Testing Schemes in an Acute Care Hospital System in New York City, 2016-2019

Healthcare facility-onset Clostridioides difficile infection is associated with adverse clinical outcomes and hospital reimbursement. A four-year review involving eleven hospitals of the NYC Health + Hospital system was undertaken. From 2016-2019, infection rates and standardized infection ratios (SIRs) were gathered from National Healthcare Safety Network. The C. difficile testing scheme at each facility was recorded. For the eleven hospitals, declines in rates of C. difficile infection and SIRs were documented. However, this decline was driven by two hospitals that had high rates of infection in 2016; for the remaining nine hospitals, rates of infection and SIRs were at a plateau. Most hospitals used a testing scheme that fell into the nucleic acid amplification test (NAAT) category for SIR risk adjustment. Hospitals that used the algorithm glutamate dehydrogenase (GDH) and toxin A/B immunoassay (EIA) followed by NAAT for discrepant results had significantly lower rates of C. difficile infection but similar SIRs. For most hospitals in this system, rates of C. difficile remained level. Within the NAAT test categories, SIRs may not correlate with infection rates. Given the controversies regarding testing and calculation of SIRs, alternatives to C. difficile infection should be sought as a hospital quality measurement.

Cost and length of hospital stay for healthcare facilityonset Clostridioides Difficile infection in pediatric wards: a prospective cohort analysis.

Clostridioides difficile (C. difficile) is a well-known causative agent of healthcare associated infection, it increases medical cost besides increasing morbidity and mortality. This study was conducted to determine the incidence, and economic burden of healthcare facility-onset C. difficile infection (HO-CDI) in children. Data was acquired with a prospective cohort study conducted in pediatric wards of a tertiary university hospital between August 2015 to August 2016. The HO-CDI was defined as diarrhea that began after 48 hours of admission with a positive cytotoxic stool assay for the presence of toxin A and/or B of C. difficile. In the 3172 admissions in one year, 212 (7%) healthcare associated diarrhea (HAD) episodes were observed, in 25 (12%) of them C. difficile was identified in which 6 (25%) cases < 2-year-old. The incidence of HOCDI was estimated as 8.8/10,000 patient-days. Cases with HO-CDI (n=19) were compared with cases with non- CDI-HAD (n=102); the presence of one of the risk factors for CDI increased the risk for HO-CDI (5,05; 95% Cl: 1.10-23.05; P 0,037), the median length of stay (LOS) attributable HO-CDI was 7 days (IQR,5-10) per admission, whereas for non-CDI-HAD was 2 days (IQR,0-4) (p=0.036). General hospitalization costs in the two groups were similar, specifically estimated costs attributable to HO-CDI and non-CID-HAD were $294.0 and $137.0 per hospitalization respectively (p= < 0.0001). Although in children the incidence of HO-CDI is increasing, its clinical manifestation is still milder and effective infection control measures with antibiotic stewardship can limit related morbidly, mortality, LOS, and cost.