bluuebunny/crossref_metadata_2025_split huggingface dataset:
Factors influencing healthcare personnel decision making to work with respiratory symptoms during the COVID-19 pandemic
Authors: Meyer Rachel , Kessler Michael , Shirley Daniel , Stevens Linda , Osman Fauzia , Safdar Nasia 
Published: September 2023

Background: Amid the COVID-19 pandemic, healthcare systems were stretched thin, with staffing shortages posing substantial challenges. Limiting spread of COVID-19 among healthcare professionals (HCP) is paramount to preventing exacerbation of such shortages, but strategies are highly dependent on HCP self-screening for symptoms and isolating when present. We examined HCP perceptions of barriers and factors that facilitate staying home when experiencing respiratory symptoms. Methods: At an academic tertiary-care referral center, in inpatient and ambulatory settings, we conducted an anonymous electronic survey between March 11, 2022, and April 12, 2022. Using logistic regression analysis, we analyzed predictors of employees reporting to work with respiratory symptoms using STATA and SAS software. Results: In total, 1,185 individuals including 829 clinical staff and 356 nonclinical staff responded to the survey. When excluding participants who reported working “remotely” (N = 381) and those who reported being unsure of whether they had worked with symptoms (N = 14), the prevalence of working with respiratory symptoms was 63%. There was no significant difference between clinical and nonclinical staff (OR, 1.1; 95% CI, 0.8–1.5; P = .60). Increasing number of years of service was protective against working with symptoms, achieving statistically significance in multivariable analysis after 16 years. Compared to those having worked <1 year, the odds ratios of working with symptoms were 0.32 (95% CI, 0.16–0.65; P = .002), 0.33 (95% CI, 0.15–0.74; P = .007), and 0.32 (95% CI, 0.13–0.79; P = .007) for those working 16–20 years, 21–25 years, and ≥26 years, respectively. More than half of HCP who worked with symptoms identified being understaffed (56.9%), having mild symptoms (55.3%), and sense of responsibility (55.1%) as reasons to work with respiratory symptoms. The following barriers, or reasons to work with symptoms, were more commonly identified as significant by those who worked with symptoms compared to those who did not: being understaffed (OR, 1.87; 95% CI, 1.35–2.58; P ≤ .001), having mild symptoms (OR, 1.96; 95% CI, 1.42–2.71; P < .001), and lack of support from management (OR, 1.84; 95% CI, 1.07–3.18; P = .03). Conclusions: Working with respiratory symptoms is prevalent in clinical and nonclinical HCP. Those with fewer years of work experience appear to be more susceptible to misconceptions and pressures to work despite respiratory symptoms. Messaging should stress support from leadership and the significance of even mild respiratory symptoms and should emphasize responsibility to patients and colleagues to stay home with respiratory symptoms. Strategies to ensure adequate staffing and sick leave may also be high yield.Disclosures: None
Evaluation of indication in a urinalysis driven reflex urine culture protocol at an academic medical center
Authors: Keintz Mackenzie , Marcelin Jasmine , Rupp Mark , Schooneveld Trevor Van 
Published: September 2023

Background: Asymptomatic bacteriuria (ASB) is a widespread problem in hospitalized patients in which only a small subset of patients benefit from treatment. Other patient populations with ASB are harmed by treatment. In 2014, our institution implemented a urinalysis (UA)-driven reflex culture protocol which evaluated patient symptoms, risk factors, and the UA to determine whether bacterial culture was performed (Fig. 1). The goal of this process was to ensure that urine cultures were only performed in those patients who had symptoms of UTI and an abnormal urinalysis while allowing for exceptions in populations where treatment of ASB may be appropriate (ie, pregnancy, aged <3 years, impending urologic surgery, kidney transplant) or where the urinalysis may not be useful in determining whether infection is present (ie, neutropenia). An “other” indication with free-text documentation required was included to allow for unique situations. We evaluated the free-text option to determine whether additional indications were needed and whether data entered were medically appropriate. Methods: This retrospective review at a Midwestern, tertiary-care, academic medical center included inpatient UA with UTI evaluation order sets between July 1, 2020, and June 30, 2022. Descriptive statistics analyzed order-set utilization. Results: In total, 35,469 “urinalysis to reflex culture” order sets were submitted, of which 9,493 resulted in culture. Of these, 839 (8.8%) were ordered with an indication of “other.” “Other” was the most cited indication for special population override contributing to 40% (n = 839 of 2,085) of these indications, followed by kidney or pancreas transplant (29%) and neutropenia (13%). The write-in options fell into 1 of 11 themes (Fig. 2). The 3 most common reasons a urine culture was obtained using the free-text option were nonurologic surgical intervention (n = 223 of 839), immunosuppression not otherwise defined (n = 195 of 839), and symptom presence (n = 146 of 839). Based on current literature, 97% of other indications were inappropriate (n = 816 of 839). If the UTI protocol had been strictly followed, 696 of 839 (83%) cultures ordered with an indication of “other” would not have been obtained, due either to lack of symptoms or, if symptomatic, lack of pyuria. Conclusions: Most cultures obtained by selecting the “other” special population option on the algorithm were obtained in situations in which a urine culture was unnecessary. Removing the “other” indication from the algorithm may improve appropriateness of urine culturing with a possible decrease in CA-UTI and treatment of ASB. Although most write in rationales were inappropriate, adding an additional category for deceased donor-organ evaluation would be reasonable.Disclosures: None
Characterization of negative health outcomes for dialysis events by vascular access type—Tennessee, 2015–2019
Authors: Suhs Tara , Kurutz Alex , Wilson Christopher 
Published: September 2023

Background: The dialysis patient population is at a higher risk for nosocomial infections as well as related negative consequences including hospitalization and death. The CMS and the state of Tennessee mandate reporting of 3 types of dialysis events: positive blood culture, intravenous antimicrobial starts, and pus, redness, or increased swelling at the access site. We explored hospitalization and death outcomes by vascular access types for dialysis events reported to the NHSN for licensed outpatient hemodialysis clinics in Tennessee from 2015 to 2019. Methods: We looked at the frequency of hospitalization and death among those who experienced a dialysis event for 3 types of vascular access: arteriovenous fistula, arteriovenous graft, and tunneled central venous catheter (CVC). Other vascular-access types were excluded due to low usage rates. Odds ratios and confidence intervals were used to quantify the relationship between access type and hospitalization, and access type and death. Pooled analysis was used due to the stable rates of death and hospitalization among access types from 2015 to 2019. Results: From 2015 to 2019, 16,742 dialysis events were reported for the 3 access types: 8,055 dialysis events (48.1%) occurred among those with tunneled CVCs, 7,107 (42.5%) occurred among those with fistulas, and 1,580 (9.4%) occurred among those with grafts. Of the 16,742 dialysis events, 3,420 patients (20.4%) were hospitalized either due or related to their dialysis event; 220 (1.3%) deaths occurred either due to or related to the patient’s dialysis event. The odds of being hospitalized was 1.47 (95% CI, 1.29–1.67) times greater in those with grafts compared to those with fistulas. Patients with tunneled CVCs were 1.30 (95% CI, 1.20–1.41) times greater to be hospitalized compared to those with fistulas. The odds of death was 1.09 (95% CI, 0.9–2.5) times greater in those patient with tunneled CVCs compared to those with fistulas, whereas the odds of death among patients with grafts was 0.73 (95% CI, 0.82–1.43) times the odds of death compared to patients with fistulas. Conclusions: Overall, our findings conclude hemodialysis patients with tunneled CVCs have an increased risk for the negative health outcomes of hospitalization and death when compared to the other access types, supporting previous studies. Additionally, grafts had a higher risk of hospitalization compared to fistulas, but patients with grafts had lower odds of death than those with fistulas. Further investigation is needed to study how the COVID-19 pandemic may have affected the trends of negative health outcomes related to dialysis events.Disclosures: None
Functional dependence as a contributing factor for patient hand contamination by multidrug-resistant organisms in acute care
Authors: Behunin Trenton , Mantey Julia , Cassone Marco , Mody Lona 
Published: September 2023

Background and objectives: Patients with functional disabilities are at higher risk of adverse outcomes, including infections. Although healthcare worker hand contamination has long been recognized as an important source of pathogen acquisition, the role of patient hands has been less clearly defined. We sought to determine whether the presence of functional disabilities is correlated with patient hand contamination by multidrug-resistant organisms (MDROs) and thus a potential target for patient hand hygiene (PHH) interventions. Methods: Case–control study of hand contamination with methicillin-resistant S. aureus, vancomycin-resistant enterococci, and gram-negative bacilli resistant to cephalosporins, fluoroquinolones, and/or carbapenems in 2 acute-care hospitals in southeastern Michigan. Cases (n = 40) and controls (n = 359) were defined as patients with or without hand contamination by MDROs, respectively. We assigned 3 exposure categories based on Katz activities of daily living scores: no functional disabilities (independent, reference group), 1–3 functional disabilities (partially dependent), and 4+ functional disabilities (dependent). We used stepwise logistic regression to identify confounding variables. Logistic regression was then used to establish the relationship between a patient’s functional dependence level and their hand contamination by MDROs. Results: The distribution of hand contamination of each target MDRO by level of patient dependence is shown in the Table. Overall, methicillin-resistant Staphylococcus aureus (MRSA) was the most represented, followed by resistant gram-negatives and vancomycin-resistant enterococci (VRE). Hospital site, sex, and history of MDROs were included in the model based on stepwise regression. The odds ratio (OR) of MRSA hand contamination in the dependent category was 3.19 (95% CI, 1.18–5.54) compared to the independent category, and for any MDRO the OR was 2.77 (95% CI, 1.22–6.32) (Fig. 1). The OR of MRSA hand contamination in the partially dependent category was 1.38 (95% CI, 0.27–7.07) compared to the independent group, and for any MDRO the OR was 0.86 (95% CI, 0.24–3.10) (Fig. 1). Feeding dependence had the highest single association with hand contamination (OR, 3.79, 95% CI, 1.26–11.43), with dressing dependence having the second highest association with hand contamination (OR, 2.82; 95% CI, 1.31–6.05) (Fig. 2). Conclusions: Patients with more functional dependencies were more likely to have MDRO hand contamination. This finding suggests a need for targeted PHH interventions in patients with functional disabilities to help prevent the spread of MDROs in the acute-care setting.Disclosures: None
Comparison of a standard environmental surface sampling method and a composite approach for select healthcare pathogens
Authors: Chan Monica , Noble-Wang Judith , Rose Laura 
Published: September 2023

Background: Hospital surfaces are known to contribute to the spread of healthcare-associated infections (HAIs). Environmental sampling is often performed to locate a reservoir or to evaluate intervention strategies in healthcare facilities. Composite sampling is commonly practiced in other fields of environmental sampling and involves collection of multiple samples combined entirely or partially to form a new sample. We compared a standard CDC surface whole-tool sampling method with a composite sampling approach. Methods:Acinetobacter baumannii (AB), Klebsiella pneumoniae that produce K. pneumoniae carbapenemase (KPC), vancomycin-resistant Enterococcus faecalis (VRE), methicillin-resistant Staphylococcus aureus (MRSA), and Clostridioides difficile spores were suspended in an artificial soil and deposited as 40 µL droplets (~104 CFU total) onto steel coupons of surface areas 323 cm2, 645 cm2, or 1,290 cm2 and dried for 2 hours. The surfaces were sampled with a single pass of a cellulose sponge— either the larger side of the sponge (face) or the smaller side of the sponge (edge)—and the optimal surface area was determined. Recovery from the optimal surface area with a single pass sampling was compared to the recovery using a standard CDC method in which all sides were used (ie, whole-tool method) to sample a standard area (645 cm2). Recovery was determined by culture and total CFU were determined for each optimal surface area. Theoretical composites were constructed using the mean total CFU of optimal surface area; 2×((face) + (edge)). Significance was set at P ≤ .05. Results: Total CFU recovery using the whole-tool method was significantly greater than the single pass sample recovery for MRSA (18,300 vs 16,600 CFU) and VRE (27,600 vs 26,400 CFU) (P < .05). When comparing the theoretical composite method to the standard whole-tool area (625 cm2), the theoretical composite total CFU was significantly greater than the whole-tool method for all organisms. For example, VRE recovery with the standard CDC whole-tool method was 27,600 CFU from 625 cm2, yet a theoretical composite approach recovered 79,800 CFU from an area of 1,290 cm2. Conclusions: Many factors influence recovery when sampling the environment, and composite sampling is a promising approach when sampling large surface areas. Using a theoretical composite of single-pass samples, the potential for improved detection with composite sampling was demonstrated. A composite sampling approach will reduce time and resources for sampling and sample processing, allowing larger surface areas to be investigated which will improve infection control strategies.Disclosures: None
Change to hospitalist providers had a minimal influence on overall antibiotic use in a VA long-term care setting
Authors: Bej Taissa , Wilson Brigid , Perez Federico , Jump Robin 
Published: September 2023

Background: In long-term care settings, practice patterns among practitioners are stronger determinants of antibiotic use than resident characteristics. In July 2021, hospitalists from the acute medicine service replaced geriatricians and assumed the care of residents in a 110-bed community living center (CLC) at a large academic Veterans Affairs (VA) medical center. We assessed changes in antibiotic use associated with that change of practitioners to guide stewardship efforts. We hypothesized that antibiotic use in the CLC would shift, reflecting the practice pattern of practitioners accustomed to treating patients in acute-care settings. Methods: We conducted a retrospective cohort study from July 1, 2020, through June 30, 2022, 1 year before and after the change of practitioners on July 1, 2021. We assessed resident characteristics and the following metrics of antibiotic use at monthly intervals: days of therapy (DOT) per 1,000 bed days of care (BDOC), antibiotic starts per 1,000 BDOC, and mean length of therapy (LOT) in days. We also compared the DOT per 1,000 BDOC for various antibiotics, in groups and individually. Results: In the years before and after the change of practitioners on July 1, 2021, the characteristics of CLC residents were comparable. Before and after July 1, 2021, monthly DOT per 1,000 BDOC (Fig. 1A), antibiotic starts per 1,000 BDOC, and mean LOT (Fig. 1B) were similar. After July 1, 2021, the use of fluoroquinolones decreased (14.31 vs 5.83 DOT per 1,000 BDOC; P < .01), and variations in anti-MRSA, narrow-spectrum, and broad-spectrum hospital agents were small, whereas the use of broad-spectrum community agents increased (29.42 vs 47.81 DOT per 1,000 BDOC; P < .01) (Fig. 2A). Within this group, there was increased use of doxycycline (7.42 vs 19.13 DOT per 1,000 BDOC; P < .01), ertapenem (2.03 vs 4.58 DOT per 1,000 BDOC; P < .01), and, modestly, azithromycin (0.40 vs 1.80 DOT per 1,000 BDOC) (Fig. 2B). Conclusions: The overall use of antibiotics, as measured by DOT, antibiotic starts, and LOT did not change after hospitalists assumed care of CLC residents. However, a notable decrease was observed in the use of fluoroquinolones, and an increase was observed in the use of doxycycline and ertapenem. Stewardship that is tailored to the type of provider and incorporates their practice patterns is needed to reinforce the prudent use of antibiotics.Disclosures: None
Whole-genome sequencing of carbapenem-resistant Enterobacterales isolates and evaluation of hospital-acquired infections
Authors: Ajaka Leama , Day Shandra , Liscynesky Christina , Colburn Nora , Sun Christine , Sovic Michael , Pancholi Preeti , Balada-Llasat Joan-Miquel , Smith Heather , Murthy Shashanka 
Published: September 2023

Background: Multidrug-resistant organisms (MDROs) are increasingly implicated in nosocomial outbreaks worldwide. We evaluated whole-genome sequencing (WGS) as an adjunctive epidemiological tool to identify infection clusters and MDRO transmission in the healthcare setting. Methods: Clinical isolates of carbapenem-resistant Enterobacterales (CRE) from July 1, 2021, to June 30, 2022, underwent Illumina WGS. Assembled genomes were taxonomically classified with GTDB-Tk software and were typed using multilocus sequence typing (MLST). Average nucleotide identity (ANI) was calculated between genomes. Numbers of differences among core single-nucleotide polymorphisms (SNPs) were calculated for pairs within taxonomic groups, and the data were evaluated in the context of patient dates and locations of care obtained from the electronic medical record. Results: In total, 39 CRE isolates underwent WGS (Fig. 1). Klebsiella pneumoniae represented the largest number of isolates (n = 18). Using MLST, 2 distinct groups of K. pneumoniae were identified (ST307 and ST258) with 5 and 4 isolates, respectively (Fig. 2). Within ST307, SNP differences ranged between 8 and 115. 3 isolates (CRE8, CRE10, and CRE12) were collected within 4 weeks of each other and had ≤26 pairwise SNP differences. Notably, CRE8 and CRE10 were located on the same unit at the same time and used the same MRI scanner on the same day. CRE35 had >95 SNP differences and was admitted 8 months prior to others in ST307 but had surgery in the same OR as CRE8. Within ST258, pairwise comparison of samples revealed 139–588 SNP differences. CRE21, CRE31, and CRE33 had SNP differences of ≤150. These patients were in the same hospital room (CRE33 and CRE21) and unit (CRE31 and CRE33), but they did not overlap temporally. CRE37 had >580 SNP differences, with no overlap in hospitalization dates or locations with other patients. Conclusions: Two closely related K. pneumoniae isolate populations were identified using WGS. Strong temporal and spatial commonalities were identified among isolates with few SNP differences. Isolate pairs with intermediate SNP differences shared spatial commonalities, suggesting possible indirect transmission between patients. No common exposures were identified for pairs with large numbers of SNP differences. WGS is an evolving tool to detect outbreak clonal populations of MDRO not identified through traditional epidemiologic techniques. WGS can provide insight into transmission patterns and the role of environmental contamination in propagating these nosocomial infections. More studies are needed to define the role and clinical significance of isolates with intermediate SNP differences in transmission of these pathogens between hosts and the healthcare environment.Disclosures: None
Identifying patients at high risk for carbapenem-resistant Enterobacterales carriage upon admission to acute-care hospitals
Authors: Howard-Anderson Jessica , Asrani Radhika Prakash , Bower Chris , Robichaux Chad , Kamaleswaran Rishi , Jacob Jesse , Fridkin Scott 
Published: September 2023

Background: Prompt identification of patients colonized or infected with carbapenem-resistant Enterobacterales (CRE) upon admission can help ensure rapid initiation of infection prevention measures and may reduce intrafacility transmission of CRE. The Chicago CDC Prevention Epicenters Program previously created a CRE prediction model using state-wide public health data (doi: 10.1093/ofid/ofz483). We evaluated how well a similar model performed using data from a single academic healthcare system in Atlanta, Georgia, and we sought to determine whether including additional variables improved performance. Methods: We performed a case–control study using electronic medical record data. We defined cases as adult encounters to acute-care hospitals in a 4-hospital academic healthcare system from January 1, 2014, to December 31, 2021, with CRE identified from a clinical culture within the first 3 hospital days. Only the first qualifying encounter per patient was included. We frequency matched cases to control admissions (no CRE identified) from the same hospital and year. Using multivariable logistic regression, we compared 2 models. The “public health model” included 4 variables from the Chicago Epicenters model (age, number of hospitalizations in the prior 365 days, mean length of stay in hospitalizations in the prior 365 days, and hospital admission with an infection diagnosis in the prior 365 days). The “healthcare system model” added 4 additional variables (admission to the ICU in the prior 365 days, malignancy diagnosis, Elixhauser score and inpatient antibiotic days of therapy in the prior 365 days) to the public health model. We used billing codes to determine Elixhauser score, malignancy status, and recent infection diagnoses. We compared model performance using the area under the receiver operating curve (AUC). Results: We identified 105 cases and 441,460 controls (Table 1). CRE was most frequently identified in urine cultures (46%). All 4 variables included in the public health model and the 4 additional variables in the healthcare system model were all significantly associated with being a case in unadjusted analyses (Table 1). The AUC for the public health model was 0.76, and the AUC for the healthcare system model was 0.79 (Table 2; Fig. 1). In both models, a prior admission with an infection diagnosis was the most significant risk factor. Conclusions: A modified CRE prediction model developed using public health data and focused on prior healthcare exposures performed reasonably well when applied to a different academic healthcare system. The addition of variables accessible in large healthcare networks did not meaningfully improve model discrimination.Disclosures: None