Infection Control and Hospital Epidemiology最新文献

Background: Emerging multidrug-resistant organisms (MDROs), such as carbapenem-resistant Enterobacterales (CRE), can spread rapidly in a region. Facilities that care for high-acuity patients with longer stays may have a disproportionate impact on this spread.

Objective: We assessed the impact of implementing preventive interventions, directed at a subset of facilities, on regional prevalence.

Methods: We developed a deterministic compartmental model, parametrized using CRE and patient transfer data. The model included the community and healthcare facilities within a US state. Individuals may be either susceptible or infectious with CRE. Individuals determined to be infectious through admission screening, periodic prevalence surveys (PPSs), or interfacility communication were placed in a state of lower transmissibility if enhanced infection prevention and control (IPC) practices were in place at a facility.

Results: Intervention bundles that included PPS and enhanced IPC practices at ventilator-capable skilled nursing facilities (vSNFs) and long-term acute-care hospitals (LTACHs) had the greatest impact on regional prevalence. The benefits of including targeted admission screening in acute-care hospitals, LTACHs, and vSNFs, and improved interfacility communication were more modest. Daily transmissions in each facility type were reduced following the implementation of interventions primarily focused at LTACHs and vSNFs.

Conclusions: Our model suggests that interventions that include screening to limit unrecognized MDRO introduction to, or dispersal from, LTACHs and vSNFs slow regional spread. Interventions that pair detection and enhanced IPC practices within LTACHs and vSNFs may substantially reduce the regional burden.

The COVID-19 has had major direct (e.g., deaths) and indirect (e.g., social inequities) effects in the United States. While the public health response to the epidemic featured some important successes (e.g., universal masking ,and rapid development and approval of vaccines and therapeutics), there were systemic failures (e.g., inadequate public health infrastructure) that overshadowed these successes. Key deficiency in the U.S. response were shortages of personal protective equipment (PPE) and supply chain deficiencies. Recommendations are provided for mitigating supply shortages and supply chain failures in healthcare settings in future pandemics. Some key recommendations for preventing shortages of essential components of infection control and prevention include increasing the stockpile of PPE in the U.S. National Strategic Stockpile, increased transparency of the Stockpile, invoking the Defense Production Act at an early stage, and rapid review and authorization by FDA/EPA/OSHA of non-U.S. approved products. Recommendations are also provided for mitigating shortages of diagnostic testing, medications and medical equipment.

Throughout the COVID-19 pandemic, many areas in the United States experienced healthcare personnel (HCP) shortages tied to a variety of factors. Infection prevention programs, in particular, faced increasing workload demands with little opportunity to delegate tasks to others without specific infectious diseases or infection control expertise. Shortages of clinicians providing inpatient care to critically ill patients during the early phase of the pandemic were multifactorial, largely attributed to increasing demands on hospitals to provide care to patients hospitalized with COVID-19 and furloughs.¹ HCP shortages and challenges during later surges, including the Omicron variant-associated surges, were largely attributed to HCP infections and associated work restrictions during isolation periods and the need to care for family members, particularly children, with COVID-19. Additionally, the detrimental physical and mental health impact of COVID-19 on HCP has led to attrition, which further exacerbates shortages.² Demands increased in post-acute and long-term care (PALTC) settings, which already faced critical staffing challenges difficulty with recruitment, and high rates of turnover. Although individual healthcare organizations and state and federal governments have taken actions to mitigate recurring shortages, additional work and innovation are needed to develop longer-term solutions to improve healthcare workforce resiliency. The critical role of those with specialized training in infection prevention, including healthcare epidemiologists, was well-demonstrated in pandemic preparedness and response. The COVID-19 pandemic underscored the need to support growth in these fields.³ This commentary outlines the need to develop the US healthcare workforce in preparation for future pandemics.

We evaluated whether universal chlorhexidine bathing (decolonization) with or without COVID-19 intensive training impacted COVID-19 rates in 63 nursing homes (NHs) during the 2020-2021 Fall/Winter surge. Decolonization was associated with a 43% lesser rise in staff case-rates (P < .001) and a 52% lesser rise in resident case-rates (P < .001) versus control.

Objective: To describe the relative burden of catheter-associated urinary tract infections (CAUTIs) and non-CAUTI hospital-onset urinary tract infections (HOUTIs).

Methods: A retrospective observational study of patients from 43 acute-care hospitals was conducted. CAUTI cases were defined as those reported to the National Healthcare Safety Network. Non-CAUTI HOUTI was defined as a positive, non-contaminated, non-commensal culture collected on day 3 or later. All HOUTIs were required to have a new antimicrobial prescribed within 2 days of the first positive urine culture. Outcomes included secondary hospital-onset bacteremia and fungemia (HOB), total hospital costs, length of stay (LOS), readmission risk, and mortality.

Results: Of 549,433 admissions, 434 CAUTIs and 3,177 non-CAUTI HOUTIs were observed. The overall rate of HOB likely secondary to HOUTI was 3.7%. Total numbers of secondary HOB were higher in non-CAUTI HOUTIs compared to CAUTI (101 vs 34). HOB secondary to non-CAUTI HOUTI was more likely to originate outside the ICU compared to CAUTI (69.3% vs 44.1%). CAUTI was associated with adjusted incremental total hospital cost and LOS of $9,807 (P < .0001) and 3.01 days (P < .0001) while non-CAUTI HOUTI was associated with adjusted incremental total hospital cost and LOS of $6,874 (P < .0001) and 2.97 days (P < .0001).

Conclusion: CAUTI and non-CAUTI HOUTI were associated with deleterious outcomes. Non-CAUTI HOUTI occurred more often and was associated with a higher facility aggregate volume of HOB than CAUTI. Patients at risk for UTIs in the hospital represent a vulnerable population who may benefit from surveillance and prevention efforts, particularly in the non-ICU setting.

The Society for Healthcare Epidemiology in America (SHEA) strongly supports modernization of data collection processes and the creation of publicly available data repositories that include a wide variety of data elements and mechanisms for securely storing both cleaned and uncleaned data sets that can be curated as clinical and research needs arise. These elements can be used for clinical research and quality monitoring and to evaluate the impacts of different policies on different outcomes. Achieving these goals will require dedicated, sustained and long-term funding to support data science teams and the creation of central data repositories that include data sets that can be "linked" via a variety of different mechanisms and also data sets that include institutional and state and local policies and procedures. A team-based approach to data science is strongly encouraged and supported to achieve the goal of a sustainable, adaptable national shared data resource.

Objective: Estimate the risk for household transmission of Methicillin-Resistant Staphylococcus aureus (MRSA) following exposure to infected family members or family members recently discharged from a hospital.

Design: Analysis of monthly MRSA incidence from longitudinal insurance claims using the Merative MarketScan Commercial and Medicare (2001-2021) databases.

Setting: Visits to inpatient, emergency department, and outpatient settings.

Patients: Households with ≥2 family members enrolled in the same insurance plan for the entire month.

Methods: We estimated a monthly incidence model, where enrollees were binned into monthly enrollment strata defined by demographic, patient, and exposure characteristics. Monthly incidence within each stratum was computed, and a regression analysis was used to estimate the incidence rate ratio (IRR) associated with household exposures of interest while accounting for potential confounding factors.

Results: A total of 157,944,708 enrollees were included and 424,512 cases of MRSA were identified. Across all included enrollees, exposure to a family member with MRSA in the prior 30 days was associated with significantly increased risk of infection (IRR: 71.03 [95% CI, 67.73-74.50]). After removing enrollees who were hospitalized or exposed to a family member with MRSA, exposure to a family member who was recently discharged from the hospital was associated with increased risk of infection (IRR: 1.44 [95% CI, 1.39-1.49]) and the risk of infection increased with the duration of the family member's hospital stay (P value < .001).

Conclusions: Exposure to a recently hospitalized and discharged family member increased the risk of MRSA infection in a household even when the hospitalized family member was not diagnosed with MRSA.

Objective: The US National Action Plan for Combating Antibiotic-Resistant Bacteria established a goal to decrease unnecessary outpatient antibiotic use by 50%. However, data to inform this goal have been limited to medical settings and have not included dental prescribing. Thus, we sought to identify the proportion of antibiotics prescribed inappropriately by dentists to inform outpatient stewardship efforts.

Methods: Cross-sectional analysis of 2019 Veterans' Affairs (VA) national electronic health record data. Antibiotics prescribed by dentists were evaluated for appropriateness based on 2 definitions: one derived from current guidelines (consensus-based recommendations) and the other based on relevant clinical literature (nonconsensus). A clustered binomial logistic regression model determined factors associated with discordant prescribing.

Results: In total, 92,224 antibiotic prescriptions (63% amoxicillin; mean supply, 8.0 days) were associated with 88,539 dental visits. Prophylaxis for complications in medically compromised patients was associated with the most (30.9%) antibiotic prescriptions, followed by prevention of postsurgical complications (20.1%) and infective endocarditis (18.0%). At the visit level, 15,476 (17.5%) met the consensus-based definition for appropriate antibiotic usage and 56,946 (64.3%) met the nonconsensus definition.

Conclusions: More than half of antibiotics prescribed by dentists do not have guidelines supporting their use. Regardless of definition applied, antibiotics prescribed by dentists were commonly unnecessary. Improving prescribing by dentists is critical to reach the national goal to decrease unnecessary antibiotic use.

We evaluated the secondary COVID-19 incidence among uninfected hospitalized patients after nosocomial COVID-19 exposure. An exposure source of SARS-CoV-2 was hospitalized patients or healthcare personnel (HCP) newly diagnosed as having COVID-19. Patients exposed to a COVID-19-infected patient in a shared room more frequently developed COVID-19 than those exposed to an infected HCP.