Infection Control and Hospital Epidemiology最新文献

Objective: To identify Surgical Site Infection (SSI) risk factors for abdominal hysterectomy patients and report the results of a performance improvement initiative.

Design: Retrospective case-control.

Setting: Parkland Hospital, an 882-bed academic, safety-net, tertiary referral center and a level 1 trauma center serving a diverse population of primarily uninsured patients in North Texas.

Participants: Patients over 18 who underwent abdominal hysterectomy and were diagnosed with SSIs within 30 days of surgery between 2019 and 2021.

Methods: Cases were matched to controls from the same or closest calendar month in a 1:2 ratio. Chart review of electronic medical records (EMR) was performed comparing variables using Pearson's χ² test for categorical variables and Student's t-test for continuous variables followed by logistic regression for multivariate analysis. Upon identifying vaginal preparation technique as an area of improvement while investigating SSI bundle compliance, we implemented an OR staff training intervention.

Results: Diabetes was identified as a significant risk factor while Hispanic or Latino ethnicity was associated with significantly lower rates of infection. Most organisms identified were enteric pathogens. Following the intervention, Parkland's deep and organ-space Standardized Infection Ratio (SIR) decreased from 1.46 in 2021 to 0.519 for the rolling 12 months as of June 2024.

Conclusions: Our multidisciplinary intervention improving the quality and consistency of pre-operative vaginal preparation was associated with a reduction in abdominal hysterectomy SSI.

Surveillance by clinical epidemiology teams for invasive fungal infections (IFIs) in healthcare settings can be challenging due to several factors including low sensitivity of noninvasive conventional microbiologic diagnostics, nonspecific clinical presentation, and complex patient populations. Recently, availability of microbial cell-free DNA testing (cfDNA) via the Karius Test has shown promise for increased diagnostic sensitivity of IFIs. However, how to best incorporate cfDNA results into IFI surveillance remains a vexing challenge. Herein, we provide perspectives on the benefits and challenges of use of cfDNA for IFI surveillance.

Objective: Patients with Opioid Use Disorder (OUD) are prone to Multidrug-Resistant Organism (MDRO) colonization and infections, thus at risk for worse outcomes during critical illness. Understanding the prevalence and predictors of MDRO infections is essential to optimize interventions and treatments.

Design: Retrospective cohort study.

Methods: The study evaluated the prevalence of MDRO isolation among adults with OUD admitted to an intensive care unit (ICU) between January 1, 2018, and July 31, 2023. It included adults admitted to an ICU with bacterial infections and positive cultures obtained within 48 hours of admission. Demographics, clinical traits, and MDRO isolation rates were analyzed using descriptive statistics, univariate methods, and Least Absolute Shrinkage and Selection Operator (LASSO) regression.

Results: MDRO isolation occurred in 178 of 790 patients (22.5%), with methicillin-resistant Staphylococcus aureus as the most frequently isolated organism. LASSO regression identified housing insecurity (OR: 1.79, 95% CI 1.09-2.93, P = .022), no receipt of medications for OUD treatment (OR: 1.56, 95% CI 1.06-2.29, P = .023), positive hepatitis C virus (HCV) status (OR: 2.19, 95% CI 1.19-4.03, P = .012), and intravenous antibiotic use in the prior 90 days (OR: 1.04 per 24 h, 95% CI 1.01-1.07, P = .007) as significant predictors of MDRO isolation.

Conclusions: The study highlights a high prevalence of MDRO isolation in critically ill OUD patients admitted for infection-related issues with positive cultures obtained within 48 hours of admission, influenced by factors like housing insecurity, no receipt of medications for OUD treatment, HCV status, and prior antibiotic use.

Contaminated surfaces in clinics pose a pathogen transmission risk. Far ultraviolet-C light (UVC), with a favorable safety profile for human exposure, has the potential for continuous pathogen inactivation in occupied clinical areas. This study demonstrated real-world bioburden reduction on surfaces, despite frequent contamination from routine use by staff and patients in clinics.

We audited family caregivers' hand hygiene (HH) and masking practices at a pediatric tertiary care center during a period of increased community viral circulation and an enteric outbreak. Observed HH rates were below 5%, whereas masking was above 90%. Awareness of practices can inform strategies in caregiver infection prevention education.

Background: Medicare claims are frequently used to study Clostridioides difficile infection (CDI) epidemiology. However, they lack specimen collection and diagnosis dates to assign location of onset. Algorithms to classify CDI onset location using claims data have been published, but the degree of misclassification is unknown.

Methods: We linked patients with laboratory-confirmed CDI reported to four Emerging Infections Program (EIP) sites from 2016-2021 to Medicare beneficiaries with fee-for-service Part A/B coverage. We calculated sensitivity of ICD-10-CM codes in claims within ±28 days of EIP specimen collection. CDI was categorized as hospital, long-term care facility, or community-onset using three different Medicare claims-based algorithms based on claim type, ICD-10-CM code position, duration of hospitalization, and ICD-10-CM diagnosis code presence-on-admission indicators. We assessed concordance of EIP case classifications, based on chart review and specimen collection date, with claims case classifications using Cohen's kappa statistic.

Results: Of 12,671 CDI cases eligible for linkage, 9,032 (71%) were linked to a single, unique Medicare beneficiary. Compared to EIP, sensitivity of CDI ICD-10-CM codes was 81%; codes were more likely to be present for hospitalized patients (93.0%) than those who were not (56.2%). Concordance between EIP and Medicare claims algorithms ranged from 68% to 75%, depending on the algorithm used (κ = 0.56-0.66).

Conclusion: ICD-10-CM codes in Medicare claims data had high sensitivity compared to laboratory-confirmed CDI reported to EIP. Claims-based epidemiologic classification algorithms had moderate concordance with EIP classification of onset location. Misclassification of CDI onset location using Medicare algorithms may bias findings of claims-based CDI studies.

Objective: To assess the association between social vulnerability index (SVI) and surgical site infections (SSIs) using National Healthcare Safety Network (NHSN) criteria.

Design: Retrospective cohort study between August 1, 2022, and August 31, 2023.

Setting: In total, 20 acute care hospitals in the Southeast United States.

Patients: Totally, 23,768 total hip arthroplasty, total knee arthroplasty, abdominal hysterectomy, colon, and spinal fusion surgeries in 22,239 patients were included. Procedures with infection present at the time of surgery or incomplete geographic tracking data were excluded.

Methods: Patient addresses as noted in the electronic health record were geocoded to determine census tract of residence and determine SVI. Demographic and clinical data were linked with SVI scores. SSIs were identified according to NHSN criteria. SVI was categorized into quartiles, and logistic regression was used to evaluate the association between SVI quartile (overall and for each SVI theme) and SSI risk. Subgroup analyses by procedure type and race were performed. Multivariable models of the association between overall SVI and SSI were adjusted for demographic and clinical factors.

Results: Patients in the top SVI quartiles had significantly higher odds of developing SSIs after adjusting for other clinical and demographic factors. Increased risk was found for socioeconomic status and household characteristics themes, but not for the racial/ethnic minority theme. Association between SVI and SSI risk varied by type of surgery.

Conclusions: Living in an area with a higher SVI is associated with increased SSI risk. Targeted interventions are needed to mitigate these disparities and improve outcomes.

Background: An association between weekend/off-hour care and unfavorable clinical outcomes has been observed, commonly called the "weekend effect." In the present study, we examined whether there was a weekend effect associated with blood culture (BC) contamination, which can lead to inappropriate medical resource consumption.

Methods: We conducted a single-center retrospective observational study using data from BC tests performed on adult patients. The primary outcome was the incidence of BC contamination, which was compared between weekend and weekday sampling groups. In a multivariable logistic analysis, we evaluated the association between weekend sampling and the incidence of BC contamination.

Results: The analysis included 7,597 weekend and 50,655 weekday BC sets from 1 January 2013 to 31 December 2019. The proportion of BC contamination during the study period was 1.15% (87/7,597) and 0.80% (405/50,655) in the weekend and weekday groups, respectively. In the logistic regression analysis adjusted for blood sampling settings, weekend sampling was significantly associated with increased BC contamination (odds ratio, 1.36; 95% confidence interval, 1.06-1.71).

Conclusions: This study highlighted a significant association between weekend blood sampling for BC and an increased incidence of contamination. To provide better-quality care, further studies evaluating the differences in staffing and blood collection processes on weekends and weekdays are warranted.