We compared two Candida auris screening strategies in high-risk patients.

The positivity rates for point prevalence survey (PPS) and admission screening were similar: 3.9% versus 3.4%, respectively, P = 1.00. Approximately 3% of high-risk patients are colonized, thus there is a need for a universal infection prevention approach for C. auris.

Background: Candida auris infection is associated with high morbidity and mortality. C. auris can persist in the healthcare environment and is associated with outbreaks. We compare screening strategies for C. auris in two high-risk patient populations. Methods: Our center is a tertiary, 865-bed hospital. In the context of known regional outbreaks of C. auris in post-acute care (PAC) facilities, we experienced extended clusters of apparent C. auris acquisition across several hospital units. Hospital acquisition was defined as new C. auris in clinical cultures in patients with no known history of C. auris colonization/infection. We performed point prevalence surveys (PPS) on affected units weekly until all tests were negative for two consecutive weeks. We also initiated admission screening for C. auris for patients admitted from PAC. All screening swabs were collected per CDC’s procedure. Tests were performed either by RT-PCR or Chromagar C. auris media, depending on availability. We compared the overall positivity rates of exposure PPS versus PAC admission screenings using Z-test for two proportions with statistical significance set at p < 0 .05 Results: From 2/2023-12/2023, a total of 533 tests on 367 unique patients were processed during PPS; 512 tests were negative and 21 were positive (3.9% positivity rate). Three additional samples were either unable to be processed or indeterminate. There were 68 patients who had repeat testing weekly for ≥2 weeks. Most remained negative, but 5 tested positive after variable amounts of negative-week intervals: 3 patients at week 2, 1 patient at week 4 and 1 patient at week 5. From 8/2023 to 12/2023, a total of 89 patients admitted from 35 different PAC facilities underwent admission screening for C. auris. Only three patients were positive (3.4%), each from a different facility. The difference in the positivity rates between PPS and PAC was not statistically significant (Z-score 0.25, p = 0.79). Discussion: Our C. auris screening strategies found similar positivity rates for patients admitted to the hospital from PACs compared to targeted PPS in the setting of apparent hospital acquisition events. These strategies may be considered as complementary. Facilities experiencing apparent acquisition events should consider screening high-risk admissions to identify and isolate colonized patients, particularly if standard infection prevention practices are being performed with high fidelity.

Background: Chlorhexidine gluconate bathing (CHGB) prevents healthcare associated infections (HAIs). CHGB quality is rarely assessed; prior studies identified that concentrations of CHG can be suboptimal, particularly at the neck, and if rinsed after application. In the setting of increased HAI rates on 3 high-risk units, we evaluated CHG skin concentrations, comparing results to bathing documentation and patient reports as part of a quality improvement initiative. Methods: All patients admitted to 3 high-risk units were swabbed for CHG concentration testing at the neck, bilateral upper arms, and groin. Swabs were processed using a semi-quantitative colorimetric CHG assay. A threshold of 0.001875% CHG was used to determine adequacy based on prior studies. Adequacy was assessed by body site, timing of bath, and patient-reported skin care activities using Chi-square tests in SAS 9.4. Per hospital policy, all admitted patients are bathed daily with 2% CHG pre-packed wipes. Patients without a documented CHGB for the duration of the admission were excluded. Results: CHG testing was completed on 63 patients: 23 on medical ICU, 18 surgical ICU, 22 oncology ward, yielding 249 samples. Only ward patients could report the time of last CHGB, which agreed with nursing documentation for 12/21(57%) Adequacy by sample was no different across units: 59/88(67%) Oncology, 68/90(76%) MICU, 56/71(79%) SICU, p=0.2091. Site adequacy was different by site: neck 36/63(57%), left arm 49/62(79%), right arm 50/62(81%), groin 48/62(77%), p=0.0083. Samples taken from the 11 patients with > = 24 hours since last CHGB were more likely to be below threshold concentration: 19/47(40%) versus 47/202(23%) not adequate in the recent treatment grouping. Three patients reported showering soon after the CHGB and 8 patients used moisturizing lotion. The percent of samples below threshold for the showering patients (6/12, 50%) and lotion-users (11/32, 34%) were not significantly different from the non-showering or non-lotion using patient samples (p=0.0588 and 0.2800 respectively). Conclusion: In a facility with longstanding daily CHGB policies in place, 66/249 samples from 63 patients lacked adequate concentrations of CHG for optimal HAI prevention. Even in patients with recent CHGB, 23% of sites tested revealed inadequate levels of CHG, while 60% of those overdue for CHGB kept adequate concentrations. Reliable implementation strategies are required for CHGB so as to ensure maximal infection prevention impact.

Candida auris is an emerging pathogen responsible for healthcare-associated infections and outbreaks. This organism has a high tolerance to both high temperatures and high salinity. We describe our experience with a C. auris outbreak in an 8-bed inpatient burn unit at an academic medical center.

In an identified quality improvement effort, nurses were observed regarding their workflow while in contact precaution rooms. Multiple opportunities for hand hygiene were missed while nurses were in gloves, predominantly while moving between “dirty” and “clean” tasks. An education initiative afterward did not show improvement in hand hygiene rates.

Background: Rates of ventilator-associated events (VAEs), including infection-related ventilator-associated complications (IVACs) and probable ventilator-associated pneumonia (PVAPs) have increased nationwide since the onset of the COVID-19 pandemic. In December 2021, our health system adopted a new electronic medical record (EMR), which changed the way surveillance for VAEs is performed. We reviewed surveillance criteria, COVID-19 status, and culturing practices in attempts to understand why VAE rates continue to be elevated. Methods: We collected data on VAE type, culture data, COVID-19 status, and surveillance criteria for all patients meeting NHSN definitions for VAE from 2018 through November 2022. For all patients in 2022 (post-EMR transition), 2 physicians (A.D. and M.D.) manually reviewed documented ventilator settings from flow sheets to validate the automated EMR data, and they evaluated culture data for appropriateness. Cultures were defined as appropriate unless they were included in “pancultures” for leukocytosis without concern for pneumonia documented. Rates were compared using an interrupted time series (ITS) analysis before and after the onset of the COVID-19 pandemic and the EMR transition. Patient level data were compared across periods using the χ2 test. All analyses were performed using SAS version 9.4 software. Results: COVID-19 has been implicated in the increasing number of VAEs since the pandemic began: 6% of patients in 2020, 18% in 2021, and 23% in 2022 (P < .001). The percentage of patients meeting criteria for VAE by positive end-expiratory pressure (PEEP) decreased from 2018 to 2022 (92%, 95%, 93%, 85%, 85%, respectively; P = .0004). Patients meeting criteria for VAE by fraction of inspired oxygen (FiO2) increased from 2018 to 2022 (9%, 6%, 11%, 17%, 19%, respectively; P = .0002). Manual review of 2022 data indicated opportunities for test stewardship in 8 of 65 patients with cultures (12%). ITS analysis revealed that IVAC+ rates were climbing prior to the onset of the COVID-19 pandemic (Fig. 1). We observed a marked increase in rates with the implementation of our new EMR and the changes to our surveillance process (0.32 cases per 100 ventilator days). Manual review of records from 2022 revealed 5 patients in which documentation of ventilator settings to meet VAE diagnosis could not be retrieved from flow sheets. Conclusions: COVID-19 continues to affect VAE despite vaccine availability and may partially account for elevated rates nationwide. However, changes in EMR-automated VAE surveillance may also affect rates. Our findings suggest that automated surveillance captures transient or spurious changes in ventilator machine settings that do not accurately represent clinical status. These data may contribute to spurious increases in VAE. More studies are needed to better understand the impact of both COVID-19 and automated surveillance on VAE.

Disclosures: None

The use of an electronic hand hygiene monitoring system (EHHMS) decreased due to the coronavirus disease 2019 (COVID-19) pandemic. We analyzed dispenser use, hand hygiene (HH) badge use, and HH compliance to determine the effect of COVID-19 on EHHMS use and HH compliance. HH product shortages and other pandemic-induced challenges influenced EHHMS use.

Background: Colorectal surgery is associated with a high risk of surgical site infections (SSIs), with an incidence ranging from 16.9% to 20%, and SSIs are associated with significant morbidity and mortality, prolonged length of hospitalization, and increased health care costs. Staphylococcal decolonization is an attempt to alter the microbiome to prevent staphylococcal and other skin flora from accessing the surgical site, and This practice effectively reduces SSIs in orthopedic, neurologic, and cardiac surgeries. A staphylococcal decolonization protocol was enacted in colorectal surgeries at our institution beginning in October 2016. We compared patient outcomes between patients who did and did not undergo preoperative staphylococcal decolonization. Methods: All patients undergoing nonemergent NHSN-defined colorectal procedures from July 2015 until June 2019 at a tertiary-care medical center were included in this retrospective study. Staphylococcal decolonization was performed using chlorhexidine 2% body wash solution, mupirocin nasal ointment, and chlorhexidine 0.12% oral rinse all twice daily for 5 days prior to surgery. All SSIs were defined by NSHN criteria. The primary outcome was SSI, and secondary outcomes were superficial wound infection (SIP) and organ-space infection (IAB). Predictive variables included decolonization status (yes or no), age, gender, body mass index, procedure duration, American Society of Anesthesiologists (ASA) score, diabetes, smoking, and surgical oncology service. Surgical antimicrobial prophylaxis with cefazolin and metronidazole OR cefoxitin, and chlorhexidine skin preparation were standard throughout the study period. Univariate analysis was performed using a χ2 or t test. Multivariable logistic regression was performed to control for all clinically important variables above. All statistical analyses were done using SAS version 9.4 software (Cary, NC). Results: In total, 1,139 patients underwent nonemergent colorectal surgery from July 2015 to June 2019. There were 74 SSIs: 42 IABs and 32 SIPs. Decolonization was performed in 332 of 1,139 cases (29%). There was no difference in overall SSIs between those decolonized and not decolonized (P = .50). However, SIPs were reduced in the group receiving decolonization: 1.2% (4 of 332) versus 3.5% (28 of 807) (P = .04. When controlling for known SSI risk factors, those not receiving decolonization remained at increased risk of SIPs (OR, 3.79; 95% CI, 1.14–12.61; P = .03. Conclusions: Staphylococcal decolonization may prevent a subset of SSIs in patients undergoing colorectal surgery.

Funding: None

Disclosures: Michelle Doll reports a research Grant from Molnlycke Healthcare.

Background: Quantification of the magnitude of CRE both within a facility and regionally poses a challenge to healthcare institutions. Periodic point-prevalence surveys are recommended by the CDC CRE tool kit as a facility-level prevention strategy. A 2016 point-prevalence survey of 2 high-risk units at a tertiary-care center in the United States for CRE colonization found that all patients surveyed were negative for CRE. The infection prevention (IP) team repeated the study in 2019 to reassess the prevalence of CRE in the healthcare facility. Methods: A point-prevalence survey was performed in November 2019 on the same 2 high-risk units surveyed in 2016. A perirectal flocked swab was collected from all patients unless a patient refused and/or a contraindication to rectal swab was present. Swabs were inoculated onto HardyChrom TM CRE agar for incubation in ambient air at 35°C for 24 hours. Organism identification was performed using MALDI-TOF mass spectrometry on a MBT Smart by Bruker. Results: None of the patients on either high-risk unit was known to be colonized or infected with CRE at the time of the point-prevalence survey. Of 41 perirectal swabs collected, 4 (9.8%) were positive for CRE. None (0 of 20) were surgical ICU patients and 4 of 21 (19%) were medical ICU patients. All positive swabs revealed different organisms identified as follows: Escherichia coli, Enterobacter cloacae, Enterobacter kobai, and Enterobacter aerogenes. All 4 positive patients had had recent contact with multiple acute-care hospitals. Also, 2 had been transferred for liver transplant evaluation. None of these patients had received a carbapenem during their admission to the facility. Conclusion: CRE are increasingly identified in healthcare centers in the United States. Centers previously classified as low prevalence will need to maintain preventive strategies to limit transmission risks as colonized patients arrive in the facility for care. Adoption of a robust horizontal infection prevention program may be an effective strategy to avoid the spread of CRE.

Funding: None

Disclosures: Michelle Doll reports a research grant from Molnlycke Healthcare.

Background: Central-line–associated blood stream infections (CLABSIs) are linked with significant morbidity and mortality. A NHSN laboratory-confirmed bloodstream infection (LCBSI) has specific criteria to ascribe an infection to the central line or not. The criteria used to associate the pathogen to another site are restrictive. This objective to better classify CLABSIs using enhanced criteria to gain a comprehensive understanding of the error so that appropriate reduction efforts are utilized. Methods: We conducted a retrospective review of medical records with NHSN-identified CLABSI from July 2017 to December 2018 at 2 geographically proximate hospitals. Trained infectious diseases personnel from tertiary-care academic medical centers, the University of Virginia Health System, a 600-bed medical center in Charlottesville, Virginia, and Virginia Commonwealth University Health System with 865 beds in Richmond, Virginia, reviewed charts. We defined “overcaptured” or O-CLABSI into different categories: O-CLABSI-1 is bacteremia attributable to a primary infectious source; O-CLABSI-2 is bacteremia attributable to neutropenia with gastrointestinal translocation not meeting mucosal barrier injury criteria; O-CLABSI-3 is a positive blood culture attributable to a contaminant; and O-CLABSI-4 is a patient injecting line, though not officially documented. Descriptive analyses were performed using the χ2 and the Fisher exact tests. Results: We found a large number of O-CLABSIs on chart review (79 of 192, 41%). Overall, 56 of 192 (29%) LCBSIs were attributable to a primary infectious source not meeting NHSN definition. O-CLABSI proportions between the 2 hospitals were statistically different; hospital A identified 34 of 59 (58%) of their NHSN-identified CLABSIs as O-CLABSIs, and hospital B identified a 45 of 133 (34%) as O-CLABSIs (P = .0020) (Table 1). When comparing O-CLABSI types, hospital B had a higher percentage of O-CLABSI-1 compared to hospital B: 76% versus 64%. Hospital A had a higher proportion of O-CLABSI-2: 21 versus 7%. Hospitals A and B had similar proportion of O-CLABSI-3: 15% versus 18%. These values were all statistically significant (P < .0001). Discussions: The results of these 2 geographically proximate systems indicate that O-CLABSIs are common. Attribution can vary significantly between institutions, likely depending on differences in incidence of true CLABSI, patient populations, protocols, and protocol compliance. These findings have implications for interfacility comparisons of publicly reported data. Most importantly, erroneous attribution can result in missed opportunity to direct patient safety efforts to the root cause of the bacteremia and could lead to inappropriate treatment.

Funding: None

Disclosures: Michelle Doll, Research Grant from Molnlycke Healthcare

The learning hospital is distinguished by ceaseless evolution of erudition, enhancement, and implementation of clinical best practices. We describe a model for the learning hospital within the framework of a hospital infection prevention program and argue that a critical assessment of safety practices is possible without significant grant funding. We reviewed 121 peer-reviewed manuscripts published by the VCU Hospital Infection Prevention Program over 16 years. Publications included quasi-experimental studies, observational studies, surveys, interrupted time series analyses, and editorials. We summarized the articles based on their infection prevention focus, and we provide a brief summary of the findings. We also summarized the involvement of nonfaculty learners in these manuscripts as well as the contributions of grant funding. Despite the absence of significant grant funding, infection prevention programs can critically assess safety strategies under the learning hospital framework by leveraging a diverse collaboration of motivated nonfaculty learners. This model is a valuable adjunct to traditional grant-funded efforts in infection prevention science and is part of a successful horizontal infection control program.