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Phase II of the Surveillance to Reduce Urinary Tract Infections project piloted a website for point prevalence surveys of healthcare-associated (HAUTI) and catheter-associated urinary tract infection in Australian hospitals and aged care homes. This report describes development and evaluation of the website for online data collection. Evaluation findings from 38 data collectors indicated that most respondents found website registration and web form use easy (N = 22; 58% and N = 16; 43%, respectively). The need for improved computer literacy skills and automated data systems were highlighted. This study demonstrated a novel approach for Australian HAUTI data collection; however, refinements are needed before national roll-out.

The Japanese Respiratory Society newly updated the prognostic guidelines for pneumonia in 2017. Quick Sequential Organ Failure Assessment (qSOFA) and Sequential Organ Failure Assessment (SOFA) score are used to evaluate the severity of pneumonia and to select the therapy for pneumonia. This is a retrospective study at Aichi Medical University hospital from January to December of 2016 to investigate the accuracy and usefulness of qSOFA and SOFA score in evaluating the severity and prognosis of healthcare-associated pneumonia (HCAP). A total of 81 HCAP patients were enrolled in this study. Both the 30-day and in-hospital mortality were 7.5% (6/81). qSOFA≧2 was in 33/78 patients (42%) and

Introduction Healthcare-associated pneumonia (HCAP) is the leading cause of infection in a hospital setting and is associated with a high mortality rate. This study aimed to evaluate the performance of the pneumonia severity index (PSI) and confusion, urea, respiratory rate, blood pressure, age≥65 (CURB-65) systems in predicting 30-day mortality in HCAP in adult patients. Patients and methods A cross-sectional study took place and data from 109 non-immunocompromised individuals aged>18 years were analyzed. The clinical diagnosis of HCAP included the presence of radiographic infiltrates in patients≥48hours after hospital admission. The PSI and CURB-65 scores were calculated and performance measures were estimated. Summary statistics were used to describe the study sample. The PSI and CURB-65 scores were calculated based on 20 and 5 criteria, respectively, and the performance indicators of the screening tools were estimated. Results The overall 30-day mortality was 59.6%. At every given threshold, PSI sensitivity was higher, but showed a lower specificity than the CURB-65, and the highest Youden index (0.392) was observed at cut-off V in the PSI. The area under the ROC curve was 0.737 (95% CI: 0.646-0.827) and 0.698 (95% CI: 0.600-0.797) using the PSI and CURB-65 systems, respectively (P=.323). Conclusion Our findings suggest that the performance of the PSI and CURB-65 is reasonable for predicting 30-day mortality in adult HCAP patients and may be used in healthcare settings.

Healthcare-associated norovirus outbreaks increase later but have a more pronounced seasonality than nonhealthcare norovirus outbreaks. Healthcare-associated norovirus outbreaks had higher correlation with Google Trends activity than nonhealthcare outbreaks (R2=0.68 vs 0.39). Google Trends data may have the potential to supplement existing norovirus surveillance due to its real-time availability.Infect Control Hosp Epidemiol 2018;39:355–358

Healthcare-associated infections are of global concern, and textiles can contribute to the transmission of pathogens. In this study, we examined quantitatively the survival capability of 60 multidrug-resistant bacterial strains from four species ( Klebsiella pneumoniae, Acinetobacter baumannii, Staphylococcus aureus and Enterococcus faecium) on untreated cotton textile in clinically relevant incubation periods. We determined the antibacterial efficiency of textiles treated either with quaternary ammonium compound (QAC)-containing Sanitized T99-19 liquid (50 m/m% Dimethyltetradecyl (3-(trimethoxysilyl)propyl) ammonium-chloride) or with silver salt-containing Sanitized T27-22 Silver liquid (2 m/m% AgCl and 8 m/m% TiO2) as well. Finally, we compared the results of the healthcare-associated, multidrug-resistant strains and antibiotic-sensitive, quality control standard strains (ATCC 25922, ATCC 11105 Escherichia coli, and ATCC 25923, ATCC 6538 Staphylococcus aureus) often used in antimicrobial efficiency tests. The results revealed that all investigated multidrug-resistant bacteria are able to survive on untreated cotton textile and pose health risk in hospitals. During one day the T27-22-Silver-treated textile was able to eliminate most of the Gram-positive pathogens, reducing the risk of cross-contamination, but none of the examined agents destroyed the multidrug-resistant, Gram-negative isolates. The antibiotic-susceptible and the multidrug-resistant Staphylococcus aureus strains had similar survival capability and biocide-tolerance, while the risk of infections caused by multidrug-resistant, Gram-negative pathogens could be extremely underestimated using only ATCC Escherichia coli standard strains. Our results also draw attention to the careful evaluation of antimicrobial efficiency tests and indicate that a significant reduction of bacterial count does not necessarily mean significant antibacterial efficiency that would be suitable to avoid infections.

Compliance to hand-hygiene guidelines in healthcare facilities remains disappointingly low for a variety of human-factors (HF) reasons. A device HF-engineered for convenient and effective use even under high-workload conditions could contribute to better compliance, and consequently to reduction in healthcare-acquired infections. We present an overview of the efficacy of a passive hand-spray device that uses solubilized ozone—a strong, safe, non-irritant biocide having broad-spectrum antimicrobial properties—on glass surface, pigskin, and synthetic human skin matrix.

A healthcare-associated infection (defined as an infection acquired within a healthcare facility), such as due to transmission via medical equipment or by healthcare providers is the most frequent adverse event in the healthcare delivery system. But why does the problem persist, when infection control measures are known, simple, and low-cost? We reviewed some biological- and treatment-factors in Part 1, and we now review some human-factors. Healthcare-associated infections are a major public health problem even in advanced healthcare systems. They affect hundreds of millions of patients each year, and are responsible for increased morbidity, mortality, and financial burden. This is perplexing, since good-hygiene practices are known and promoted. Disinfection, sterilization, handwashing, and alcohol rubs should be more effective, but human-factors interfere. The persistent high prevalence of nosocomial infections, despite known hygienic practices, is attributable to two categories of factors: biological and inherent shortcomings of some practices (considered in Part 1), and human factors (considered here). A new approach is considered in Part 3.

The most frequent adverse event in the healthcare delivery system is acquisition of an infection within a healthcare facility. Since infection control measures are known, simple, and low-cost, we examine why the problem of healthcare-associated infections persists. Hundreds of millions of patients each year are affected by a healthcare-associated infection, with negative medical outcome and financial cost. It is a major public health problem even in countries with advanced healthcare systems. This is a bit perplexing, given that hygienic practices have been known and actively promoted. The objective is to address the question: doesn’t the use of disinfection, sterilization, handwashing, and alcohol rubs prevent the spread of pathogenic organisms? We conclude that the persistent high prevalence of nosocomial infections despite known hygienic practices is attributable to two categories of factors: biological and inherent shortcomings of some practices (considered in Part 1), and human factors (considered in Part 2). A new approach is presented in Part 3.

© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/)., Pneumonia is one of the main causes of hospitalization and mortality. It's the fourth leading cause of death worldwide. Healthcare-associated infections are the most frequent complication of healthcare and affect hundreds of millions of patients around the world, although the actual number of patients affected is unknown due to the difficulty of reliable data. The main goal of this manuscript is to describe the epidemiological characteristics of patients admitted with pneumonia and the impact of healthcare-associated pneumonia (HCAP) in those patients. It is a quantitative descriptive study with retrospective analysis of the clinical processes of 2436 individuals for 1 year (2018) with the diagnosis of pneumonia. The individuals with ≤5 years old represented 10.4% (n = 253) and ≥65 were 72.6% (n = 1769). 369 cases resulted in death, which gives a sample lethality rate of 15.2%. The severity and mortality index were not sensitive to the death event. We found 30.2% (n = 735) individuals with HCAP and 0.41% (n = 59) with ventilator-associated pneumonia (VAP). In only 59 individuals (2.4%) the agent causing pneumonia was isolated. The high fatality rate obtained shows that pneumonia is a major cause of death in vulnerable populations. Moreover, HCAP is one of the main causes of hospital admissions from pneumonia and death and the most pneumonias are treated empirically. Knowledge of the epidemiology characterization of pneumonia, especially associated with healthcare, is essential to increase the skills of health professionals for the prevention and efficient treatment of pneumonia.

Background: The ongoing COVID-19 pandemic tests the healthcare system in many ways. The scarcity of resources poses challenges to infection prevention (IP) practices. We describe our experience in managing such scarcity in our care of COVID-19 patients in the hospital as well as community settings. Methods: The hospital pandemic plan traditionally included only plans for healthcare delivery management within the hospital. However, on March 25, 2020, a decision was made by the Ministry of Health to set up swab isolation (SIFs) and community care facilities (CCFs) to meet the growing demand for isolation beds for migrant workers infected by COVID-19. The CCFs were located in convention halls and resort centers and the SIFs were located in facilities previously functioning as hotels. Mobile medical teams were activated to run clinics at the dormitories housing 200,000 migrant workers. The IP team of an acute- and tertiary-care hospital in Singapore was activated to oversee IP measures at facilities managed by medical teams from the hospital, with the goal of zero healthcare-associated COVID-19 cases among staff. Two IP leaders were set up to oversee the IP program at 8 dormitories, 4 SIFs, and 2 CCFs. In total, 12 IP staff and 15 infection prevention liaison officers (IPLOs) were deployed from 2 acute-care hospitals and 3 specialty centers to conduct training in hand hygiene and the use of personal protective equipment, and to conduct daily audits of compliance to practice guidelines. Education on personal hygiene was also given to patients in these facilities in at least 7 languages. In the SIFs and dormitories, IPLOs were recruited to perform daily audits and feedback to the IP team on issues related to IP at the sites. Results: Since our first COVID-19 patient on January 23, 2020, there has been no report of healthcare-associated COVID-19 within the hospital nor among the medical, administrative, and support service staff working in the external operation facilities. Daily audits showed an average of 99.4% compliance to IP guidelines. Conclusions: IPLOs or IP champions play a significant role in ensuring compliance to IP guidelines. This compliance allows the IP professional to focus on the evaluation of the IP program, managing IP consultations, and planning and implementation of the IP program in nontraditional healthcare settings. The key success factors of the program included the ability to contextualize the planning and implementation of IP programs in various settings, strong leadership support, cohesive teamwork, and effective communication at various levels.Funding: NoDisclosures: None

Aim. Identification of possible risk factors, assessment of their information value, and compilation of a prognostic table for assessing the risk of healthcare associated infections in puerperas. Materials and Methods. Experimental and control groups were formed from among the puerperas. The experimental group included 147 women who developed purulent-septic infection within 30 days after delivery. The control group was formed by the mechanical selection of each 50th labor and delivery record for the aforementioned period and included 300 subjects. Possible risk factors were divided into groups: social factors, factors related to the state of woman's health, factors associated with the peculiarities of the pregnancy course, factors associated with the peculiarities of the labor course, factors associated with the postpartum period. Results. During the study, the following risk factors were identified: unregistered marriage, prenatal hospitalization to the Department of Pathology of Pregnancy for more than 1 bed-day, first labor, uncoordinated contractions, amniotomy, episiotomy, hysterocervicorrhexis, staying in the ward of separate residence in the postpartum period. Based on the sum of the values of prognostic indices, calculated for each risk factor, three prognostic groups were formed: high, average and low risk. Forecasting of the risk for healthcare associated infection development in a patient is carried out by simple arithmetic addition of prognostic indices. Conclusion. To prevent healthcare associated infections, it is recommended: to carry out bacteriological examination of an afterbirth and prescribing preventive course of antibiotics to puerperas of the high risk group in the postpartum period; to specify that a woman is at high or average risk, if any, in the discharge documentation to inform the Women's Health Department. The information on belonging of the puerperas to a particular risk group can be used by the hospital epidemiologist when carrying out operational and retrospective analysis.

Summary Background In recent years, installation of bidet toilets within hospitals in Japan has raised concerns regarding potential for cross-contamination by antimicrobial-resistant bacteria from patients who are hospitalized over an extended period. Aim To investigate the distribution of antimicrobial-resistant bacteria recovered from bidet toilets at a university-affiliated hospital in Japan. Methods All 292 electric bidet toilets at a university hospital were sampled for contamination. Swabs for culture were used to sample water-jet nozzles and toilet seats. Findings Of the 292 toilet seats sampled, warm-water nozzles of 254 (86.9%) were found to be contaminated by one or more of the following organisms: Staphylococcus aureus, Streptococcus spp., Enterococcus spp., Enterobacteriaceae and non-Enterobacteriaceae Gram-negative bacteria. S. aureus was recovered from one water-jet nozzle and nine toilet seats; of these, meticillin-resistant S. aureus was recovered from the water-jet nozzle and from one toilet seat. Both the water-jet nozzle and seat of the same toilet were contaminated with a CTX-M-9 group extended-spectrum β-lactamase-producing Escherichia coli. Of the Gram-negative isolates recovered from samples, the organism with the highest frequency of isolation was Stenotrophomonas maltophilia, which was recovered from 39 bidet toilets. Conclusion Warm-water nozzles of bidet toilets are contaminated with a wide range of bacteria, making them a potential vehicle for cross-infection. In the hospital setting, shared use of bidet toilets must consider the clinical background of patients. Based on these findings, these devices must be part of the risk management programme, and steps should be included for monitoring and disinfection.

Advancements in medicine have led to a considerable increase in the proportion of patients living with severe chronic diseases, malignancies, and HIV infections. Most of these conditions are associated with acquired immune-deficient states and treatment-related immunosuppression. Although infections as a result of neutropenia have long been recognized and strategies for management were developed, non-neutropenic immunosuppression has been overlooked. Recently, community-acquired infections in patients with frequent, significant exposure to healthcare settings and procedures have been classified as ‘healthcare-associated infections’ since they are more similar to hospital-acquired infections. Most of the non-neutropenic immunosuppressed patients have frequent contact with the healthcare system due to their chronic and severe diseases. In this review, we focus on the healthcare-associated bloodstream infections in the most common non-neutropenic immunosuppressive states and provide an update of the recent evidence for the management of these infections.

Indoor microbial communities have important implications for human health, especially in health-care institutes (HCIs). The factors that determine the diversity and composition of microbiomes in a built environment remain unclear. Herein, we used 16S rRNA amplicon sequencing to investigate the relationships between building attributes and surface bacterial communities among four HCIs located in three buildings. We examined the surface bacterial communities and environmental parameters in the buildings supplied with different ventilation types and compared the results using a Dirichlet multinomial mixture (DMM)-based approach. A total of 203 samples from the four HCIs were analyzed. Four bacterial communities were grouped using the DMM-based approach, which were highly similar to those in the 4 HCIs. The α-diversity and β-diversity in the naturally ventilated building were different from the conditioner-ventilated building. The bacterial source composition varied across each building. Nine genera were found as the core microbiota shared by all the areas, of which Acinetobacter, Enterobacter, Pseudomonas, and Staphylococcus are regarded as healthcare-associated pathogens (HAPs). The observed relationship between environmental parameters such as core microbiota and surface bacterial diversity suggests that we might manage indoor environments by creating new sanitation protocols, adjusting the ventilation design, and further understanding the transmission routes of HAPs.

Healthcare-associated Legionnaires’ disease (HCA LD) causes significant morbidity and mortality, with varying guidance on prevention. We describe the evaluation of a case of possible HCA LD and note the pitfalls of relying solely on an epidemiologic definition for association of a case with a facility. Our detailed investigation led to the identification of a new Legionella pneumophila serogroup 1 sequence type, confirmed a healthcare association and helped build the framework for our ongoing preventive efforts. Our experience highlights the role of routine environmental cultures in the assessment of risk for a given facility. As clinicians increasingly rely on urinary antigen testing for the detection of L. pneumophila, our investigation emphasises the importance of clinical cultures in an epidemiologic investigation.

Healthcare-associated Clostridium difficile infection (HCA-CDI) remains a major cause of morbidity and mortality in industrialized countries. However, few data exist on the burden of HCA-CDI in multi-site non-metropolitan settings. This study examined the introduction of an antimicrobial stewardship programme (ASP) in relation to HCA-CDI rates, and the effect of HCA-CDI on length of stay (LOS) and hospital costs.A comparative before-and-after intervention study of patients aged ≥16 years with HCA-CDI from December 2010 to April 2016 across the nine hospitals of a non-metropolitan health district in New South Wales, Australia was undertaken. The intervention comprised a multi-site ASP supported by a clinical decision support system, with subsequent introduction of email feedback of HCA-CDI cases to admitting medical officers.HCA-CDI rates, comparative LOS and hospital costs, prior use of antimicrobials and proton pump inhibitors, and appropriateness of CDI treatment.HCA-CDI rates rose from 3.07 to 4.60 cases per 10,000 occupied bed-days pre-intervention, and remained stable at 4 cases per 10,000 occupied bed-days post-intervention (P=0.24). Median LOS (17 vs six days; P0.01) and hospital costs (AU$19,222 vs $7861; P0.01) were significantly greater for HCA-CDI cases (N=91) than for matched controls (N=172). Half of the patients with severe HCA-CDI (4/8) did not receive initial appropriate treatment (oral vancomycin).HCA-CDI placed a significant burden on the regional and rural health service through increased LOS and hospital costs. Interventions targeting HCA-CDI could be employed to consolidate the effects of ASPs.

The Infectious Diseases Society of America (IDSA) Standards and Practice Guidelines Committee collaborated with partner organizations to convene a panel of 10 experts on healthcare-associated ventriculitis and meningitis. The panel represented pediatric and adult specialists in the field of infectious diseases and represented other organizations whose members care for patients with healthcare-associated ventriculitis and meningitis (American Academy of Neurology, American Association of Neurological Surgeons, and Neurocritical Care Society). The panel reviewed articles based on literature reviews, review articles and book chapters, evaluated the evidence and drafted recommendations. Questions were reviewed and approved by panel members. Subcategories were included for some questions based on specific populations of patients who may develop healthcare-associated ventriculitis and meningitis after the following procedures or situations: cerebrospinal fluid shunts, cerebrospinal fluid drains, implantation of intrathecal infusion pumps, implantation of deep brain stimulation hardware, and general neurosurgery and head trauma. Recommendations were followed by the strength of the recommendation and the quality of the evidence supporting the recommendation. Many recommendations, however, were based on expert opinion because rigorous clinical data are not available. These guidelines represent a practical and useful approach to assist practicing clinicians in the management of these challenging infections. Keywords. ventriculitis; meningitis; cerebrospinal fluid shunts; cerebrospinal fluid drains; central nervous system infections.

Background: In contrast to community-acquired pneumonia (CAP), no specific severity assessment tools have been developed for healthcare-associated pneumonia (HCAP) in clinical practice. Objectives: In this review, we assessed the clinical significance of severity assessment tools for HCAP. Methods: We identified related articles from the PubMed database. The eligibility criteria were original research articles evaluating severity scoring tools and reporting the outcomes of mortality in patients with HCAP. Results: Eight articles were included in the meta-analysis. The PORT score and CURB-65 were evaluated in 7 and 8 studies, respectively. Using cutoff values of ≥IV and V for the PORT score, the diagnostic odds ratios (DORs) were 5.28 (2.49-11.17) and 3.76 (2.88-4.92), respectively, and the areas under the curve (AUCs) were 0.68 (0.64-0.72) and 0.71 (0.67-0.75), respectively. Conversely, the AUCs for ≥IV and V were 0.71 (0.67-0.76) and 0.74 (0.70-0.78), respectively, when applied only to nonimmunocompromised patients. In contrast, when using cutoff values of ≥2 and ≥3 for CURB-65, the DORs were 3.35 (2.26-4.97) and 2.65 (2.05-3.43), respectively, and the AUCs were 0.65 (0.61-0.69) and 0.66 (0.62-0.70), respectively. Conversely, the AUCs for ≥2 and ≥3 were 0.65 (0.61-0.69) and 0.68 (0.64-0.72), respectively, when applied only to nonimmunocompromised patients. Conclusions: The PORT score and CURB-65 do not have substantial power compared with the tools for CAP patients, although the PORT score is more useful than CURB-65 for predicting mortality in HCAP patients. According to our results, however, these tools, especially the PORT score, can be more useful when limited to nonimmunocompromised patients.

Background It is estimated that 223,900 cases of CDI occur annually in hospitalized patients resulting in 12,800 deaths and $1 billion in attributable costs. Antimicrobial use is a risk factor for CDI and the antimicrobials ordered to treat urinary tract infections have been identified as a factor in both recurrent CDI and community-acquired CDI. This real-world data analysis seeks to explore the relationship between HA-UTI and hospital-onset CDI (HO-CDI). Methods An electronic infection surveillance system was the source of de-identified real-world data from 290 hospitals. Algorithmically-derived measures of healthcare-associated infections (ADM-HAIs), and records of all-cause antimicrobial orders, for all inpatient admissions for the period 10/1/18–9/30/19 were analyzed. All patients who presented with a urine ADM-HAI – suggestive of HA-UTI – and no other healthcare-associated infection (Urine+ patients), were observed for subsequent HO-CDI. Urine+ patients were compared to patients with no HAI of any type, other than CDI (HAI-free patients), and relative risk (RR) was estimated. The analysis was repeated for the subgroup of patients who received an antimicrobial order for any reason during their stay. Results 3,050,525 inpatient admissions were analyzed. 26,634 were identified as Urine+ patients. 188 of those patients subsequently presented with HO-CDI. 2,978,507 were identified as HAI-free patients. 6,238 of those patients presented with HO-CDI. The incidence of HO-CDI was significantly higher in Urine+ patients compared to HAI-free patients (RR=3.37, 95% CL[2.92, 3.89], p< 0.0001). When the analysis was repeated to examine only patients who received antimicrobial orders, Urine+ patients continued to be at higher risk of subsequent HO-CDI compared to HAI-free patients (RR=3.28, 95% CL[2.74,3.92], p< 0.0001). Conclusion The presence of a urine ADM-HAI, suggestive of HA-UTI, was associated with an increased risk of subsequent HO-CDI. This held when only patients with antimicrobial orders were considered. These observations mirror findings from other published studies, however, other factors may have contributed to increased risk for both HA-UTI and HO-CDI. Disclosures Timothy Kelly, MS, MBA, BD (Employee) ChinEn Ai, MPH, BD (Employee) John Murray, MPH, BD (Employee) Yan Xiong, n/a, BD (Becton Dickinson) (Employee) Hanna Jokinen-Gordon, PhD, BD (Employee)

Background: Central-line–associated bloodstream infection (CLABSI) and catheter-associated urinary tract infection (CAUTI) definitions continue to be refined to ensure accuracy. As facilities decrease CLABSI and CAUTI, and as midline catheters become more widely utilized, we sought to understand our non–central-line bloodstream infections (NCLBSI) and non–catheter-associated urinary tract infections (NCAUTI). Total healthcare-associated bloodstream infections (HABSIs) and urinary tract infections (HAUTIs) may provide more objective measures. Methods: The CHOC Children’s Hospital is a 334-bed quaternary-care hospital in Orange, California, with 146 intensive care unit (ICU) beds. We retrospectively reviewed all HABSIs (CLABSIs + NCLBSIs) and HAUTIs (CAUTIs + NCAUTIs) from July 1, 2016, to June 30, 2019, for demographic and microbiologic data. Both HABSI and HAUTI were defined as healthcare-associated infection when the date of event occurs on or after the third calendar day of admission. CLABSI and CAUTI were both defined using CDC-NHSN criteria. Mucosal barrier injury laboratory-confirmed bloodstream infections were excluded. Results: In a 3-year period, there were 100 HABSIs, of which 26 (26%) were NCLBSIs. The mean age for HABSI was 81 months. Enteric gram-negative infections (42%) and Staphylococcus aureus (35%) were the most common etiology for NCLBSI. The most common etiologies for CLABSI were coagulase-negative staphylococci (23%), Staphylococcus aureus (22%), and enteric gram-negatives (22%). Pseudomonas aeruginosa accounted for 16% of CLABSIs, but no NCLBSIs (Fig. 1). There was 1 midline catheter NCLBSI. There were 49 HAUTIs, of which 39 (80%) were NCAUTIs. One asymptomatic bacteremic urinary tract infection was included with the CAUTIs. The mean age for HAUTI was 55 months. The most common etiology of CAUTI was Pseudomonas aeruginosa (50%), whereas for NCAUTI the most common etiology was enteric gram-negative organisms (69%) (Fig. 2). In total, 11 HAUTIs (22%) resulted in secondary sepsis. Most HABSIs and HAUTIs occurred in the ICU setting. There were 6 deaths (6%) among HABSI patients and 3 deaths (8%) among HAUTI patients within 2 weeks of infection (Fig. 3). Conclusions: A preponderance of HABSIs were CLABSIs, but most HAUTIs were NCAUTIs. Although patient demographic and microbiologic differences exist in CLABSIs and NCLBSIs as well as CAUTIs and NCAUTIs, S. aureus and P. aeruginosa are important pathogens, particularly in device-associated infections. Trending total numbers of HABSIs and HAUTIs may be less subjective and may avert the shifting of categories seen with increased use of midline catheters. In addition, non–device-associated infections are potential causes of morbidity and mortality.Funding: NoneDisclosures: None

The original online version of this article (Hamdan, E.M. and AL-Attas, M. (2017) Linezolid versus Vancomycin for the Treatment of Methicillin-Resistant Staphylococcus aureus in Hospital-Acquired, Ventilator-Associated, and Healthcare-Associated Pneumonia at Tertiary Care Hospital. Advances in Infectious Disease, 7, 11-18. https://doi.org/10.4236/aid.2017.71002) unfortunately contains some mistake. The author wishes to correct the errors in Abstract.

We report a case of infective endocarditis secondary to healthcare-associated bloodstream infection caused by an uncommon etiologic agent, multidrug-resistant Enterobacter cloacae. The patient was treated with a combination of antimicrobial therapy and surgery, but could not be saved. With this case, we discuss the prevalence, risk factors, treatment options, and outcomes of the rarely encountered Enterobacter cloacae-associated infective endocarditis.

Objective: To determine the proportion of healthcare workers (HCWs) in smaller Victorian public healthcare facilities with documented evidence of measles immunity. Methods: A cross‐sectional survey, developed by the Victorian Healthcare Associated Surveillance System Coordinating Centre, was completed by all eligible facilities. HCWs were reported as having evidence or no evidence of measles immunity. Those without evidence of immunity were sub‐classified as incomplete, declined or unknown status. Results: Seventy‐five facilities reported measles immunity status of 17,522 employed HCWs. Of these, 11,751 (67.1%) had documented evidence of immunity. The proportion with evidence of immunity was lowest (45.6%) in facilities with ≤50 HCWs. The majority of HCWs without evidence of immunity (88.2%) had ‘unknown’ status. Declination or incomplete status comprised very low overall proportions (0.3% and 3.6%, respectively). Conclusions: Reported evidence of HCW measles immunity was moderate in surveyed facilities, with a large proportion having unknown status. HCW immunisation programs in some facilities require refinement to appropriately support public health responses to measles cases and prevention of occupational acquisition of measles. Implications for public health: Non‐immune HCWs are at increased risk for acquiring and transmitting measles. Timely access to accurate HCW immunisation records is required to ensure that public health responses are effective.

Candida auris has been detected at almost 100 South African hospitals, causing large outbreaks in some facilities, and this pathogen now accounts for approximately 1 in 10 cases of candidaemia. The objective of this guideline is to provide updated, evidence-informed recommendations outlining a best-practice approach to prevent, diagnose and manage C. auris disease in public- and private-sector healthcare settings in South Africa. The 18 practical recommendations cover five focus areas: laboratory identification and antifungal susceptibility testing, surveillance and outbreak response, infection prevention and control, clinical management and antifungal stewardship.

Ultraviolet (UV) light has destructive activity against pathogenic bacteria including Clostridioides difficile spores. Portable pulsed-xenon UV disinfecting devices were implemented for terminal room cleaning in 6 units of our academic hospital with high C. difficile infection (CDI) rates. CDI rates were measured in a 9-month period before and a 9-month period after device implementation. Despite documented administration of UV disinfection for 87% of terminal room cleaning, no impact on CDI rates was detected.

Laboratory-identified bloodstream infections (LAB-ID BSIs) in recently discharged patients are likely to be classified as healthcare-associated community-onset (HCA-CO) infections, even though they may represent hospital-onset (HO) infections. A review of LAB-ID BSIs among patients discharged within 14 days revealed that 109 of 756 cases (14.4%) were HO infections. The BSI risk being misclassified as HCA CO may underestimate the hospital infection risk.

Healthcare-associated infections (HAIs) arise from exposure to infectious organisms within a healthcare setting, HAIs are a significant occupational risk for Medical Radiation Science (MRS) professionals which have a high degree of patient-contact. Methods: Systematic reviews and Meta-Analyses (PRISMA) guidelines were used in this research. The inclusion criteria were studies describing infectious organisms found directly in MRS departments or outlining a risk of infection to MRS professionals. Studies on infectious organisms on clothing or equipment used in these departments were also included. Results: Screening excluded 1655 articles that didn’t meet the criteria, twenty-one articles were included in the final review. Preliminary findings, published between 1998 and 2018, were from eleven countries. Three studies were set in radiotherapy and thirteen in diagnostic radiography departments. No studies were published from nuclear medicine departments. Twenty different organisms were identified. Conclusion: Preliminary findings indicate a lack of related published studies within nuclear medicine departments.

The usefulness of existing pneumonia severity indices for predicting mortality in nursing and healthcare-associated pneumonia (NHCAP) is unclear. This study compared the usefulness of existing pneumonia severity indices for predicting mortality in NHCAP and community-acquired pneumonia (CAP). Consecutive hospitalized pneumonia patients including NHCAP and CAP patients were prospectively enrolled between October 2010 and November 2017. Admission pneumonia severity was assessed using CURB-65, Pneumonia Severity Index (PSI), A-DROP, Infectious Diseases Society of America (IDSA)/American Thoracic Society (ATS) severe pneumonia criteria, and I-ROAD. The primary outcome was 30-day mortality. The discriminatory ability of each severity index was evaluated by receiver operating characteristic curve analysis. Overall, 828 patients had NHCAP, and 1330 patients had CAP. Thirty-day mortality was 12.8% and 5.6% in NHCAP and CAP patients, respectively. The area under the curve of PSI (0.717, 95% confidence interval 0.673–0.761) was the highest among all pneumonia severity indices, with significant differences compared with CURB-65 (0.651, 95% confidence interval 0.598–0.705, P = 0.02) and IDSA/ATS severe pneumonia criteria (0.659, 95% confidence interval 0.612–0.707, P = 0.03). The predictive abilities for 30-day mortality of the pneumonia severity indices, excluding PSI and I-ROAD, were significantly inferior for NHCAP than for CAP. PSI may be the most useful pneumonia severity score for predicting mortality in NHCAP. However, the predictive ability for mortality of each pneumonia severity score was worse for NHCAP than for CAP; therefore, the prognostic factors in NHCAP need to be identified for better management of NHCAP patients.

Since its emergence in 2012, 2,260 cases and 803 deaths due to Middle East respiratory syndrome coronavirus (MERS-CoV) have been reported to the World Health Organization. Most cases were due to transmission in healthcare settings, sometimes causing large outbreaks. We analyzed epidemiologic and clinical data of laboratory-confirmed MERS-CoV cases from eleven healthcare-associated outbreaks in the Kingdom of Saudi Arabia and the Republic of Korea between 2015–2017. We quantified key epidemiological differences between outbreaks. Twenty-five percent (n = 105/422) of MERS cases who acquired infection in a hospital setting were healthcare personnel. In multivariate analyses, age ≥65 (OR 4.8, 95%CI: 2.6–8.7) and the presence of underlying comorbidities (OR: 2.7, 95% CI: 1.3–5.7) were associated with increased mortality whereas working as healthcare personnel was protective (OR 0.07, 95% CI: 0.01–0.34). At the start of these outbreaks, the reproduction number ranged from 1.0 to 5.7; it dropped below 1 within 2 to 6 weeks. This study provides a comprehensive characterization of MERS HCA-outbreaks. Our results highlight heterogeneities in the epidemiological profile of healthcare-associated outbreaks. The limitations of our study stress the urgent need for standardized data collection for high-threat respiratory pathogens, such as MERS-CoV.

We investigated the effect of annual winter visitor restrictions on hospital respiratory virus transmission. The healthcare-associated (HA) viral respiratory infection (VRI) transmission index (number of HA VRIs per 100 inpatient community-associated VRIs) was 59% lower during the months in which visitor restrictions were implemented. These data prompt consideration for instituting year-round visitor restrictions.

Background:Identifying routes of transmission among hospitalized patients during a healthcare-associated outbreak can be tedious, particularly among patients with complex hospital stays and multiple exposures. Data mining of the electronic health record (EHR) has the potential to rapidly identify common exposures among patients suspected of being part of an outbreak.Methods:We retrospectively analyzed 9 hospital outbreaks that occurred during 2011–2016 and that had previously been characterized both according to transmission route and by molecular characterization of the bacterial isolates. We determined (1) the ability of data mining of the EHR to identify the correct route of transmission, (2) how early the correct route was identified during the timeline of the outbreak, and (3) how many cases in the outbreaks could have been prevented had the system been running in real time.Results:Correct routes were identified for all outbreaks at the second patient, except for one outbreak involving >1 transmission route that was detected at the eighth patient. Up to 40 or 34 infections (78% or 66% of possible preventable infections, respectively) could have been prevented if data mining had been implemented in real time, assuming the initiation of an effective intervention within 7 or 14 days of identification of the transmission route, respectively.Conclusions:Data mining of the EHR was accurate for identifying routes of transmission among patients who were part of the outbreak. Prospective validation of this approach using routine whole-genome sequencing and data mining of the EHR for both outbreak detection and route attribution is ongoing.

The impact of antibiotic therapy on the diagnosis of healthcare–associated ventriculitis and meningitis (HCAVM) is unknown. Antibiotics were administered before obtaining cerebrospinal fluid (CSF) in 217 out of 326 (66%) patients with HCAVM, and they impacted the sensitivity of the cerebrospinal fluid Gram stain and culture (P ≤ .004).

Background Klebsiella pneumoniae bacteremia is a major cause of morbidity and mortality worldwide. We aimed to compare the clinical characteristics, distribution of capsular types, and antimicrobial resistance of K. pneumoniae bacteremia among community-acquired (CA), healthcare-associated (HCA), and nosocomial infections. Methods This retrospective study of patients with K. pneumoniae bacteremia was conducted at Taipei Veterans General Hospital from January to December 2015. Clinical characteristics of K. pneumoniae bacteremia were collected. The K. pneumoniae isolates were subjected to antimicrobial susceptibility testing and capsular genotyping. Results In total, 337 patients with K. pneumoniae bacteremia were identified: 70 (20.8%), 102 (30.3%), and 165 (48.9%) presented with CA, HCA, and nosocomial infection, respectively. The 28-day mortality of HCA bacteremia was lower than that of nosocomial bacteremia (17.6% versus 30.9%, p = 0.016); however, that of the HCA and CA bacteremia was similar (17.6% versus 14.3%, p = 0.557). CA isolates had the highest prevalence of virulent capsular types (51.4%), followed by HCA (36.3%) and nosocomial isolates (19.4%). The proportion of multidrug-resistant (MDR) isolates was highest in nosocomial infections (41.8%), followed by HCA (23.5%) and CA infections (5.7%). Conclusion CA, HCA and nosocomial K. pneumoniae are distinct entities, as evidenced by the differences in clinical characteristics, antimicrobial resistance, and capsular types found in this study.

Nontuberculous mycobacteria (NTMs) are ubiquitous environmental organisms which makes them ideal nosocomial pathogens. Their resistance to extreme environments and disinfectants further increase their potential for causing healthcare-associated (HCA) and iatrogenic infections. Furthermore, the increasing proportion of immunosuppressed patients in healthcare environments on prophylactic antibiotics and antivirals makes infection with NTMs likely as they are usually resistant to prophylactic agents used. Despite these growing concerns of HCA NTM infections, no international consensus or guidelines exist on specific disinfection and prevention practices. Most infections are only recognized as part of larger outbreaks and only investigated for a healthcare link when an outbreak is suspected. Sporadic iatrogenic infections are missed due to lack of awareness of NTM pathology, clinical signs and symptoms, and inability to recover NTMs in culture. Moreover, outbreak investigations also suffer from a lack of understanding of the environmental reservoirs, transmission routes, and putative control measures. This chapter explores the relationship of NTM infections with the nosocomial and healthcare environment, predisposing risk factors, and possible preventive measures to control NTM infections in these environments.

Background Healthcare-associated infections (HAI) are major preventable causes of morbidity and mortality. While there are fewer overall HAI in children, there is a greater potential impact in disability-adjusted life years. Healthcare-associated respiratory viral infections (HARVI) are not frequently tracked within institutions, yet the risk for such infections in pediatric hospitals is very high. Recent data demonstrate large inter-hospital variability of HARVI incidence that may depend on various factors including the number of immunocompromised patients in the hospital and the presence of shared rooms. We hypothesize that the burden of healthcare-associated respiratory viral infections and their impact on the length of stay (LOS) is substantial at a large urban pediatric hospital. Methods A cohort of all children with any HARVI admitted to a large urban pediatric hospital between July 2017 and June 2018 were included after obtaining IRB approval. We defined a HARVI as a respiratory infection with an onset of symptoms while the patient was hospitalized meeting three criteria: A positive microbiologic test for one of 8 viruses, presence of symptoms of a respiratory infection, and onset of symptoms after admission beyond the minimum incubation period for each virus. Infections with symptom onset after admission beyond the maximum incubation period were considered definite hospital onset whereas others were considered possible hospital onset. The electronic medical record provided data on demographics, underlying medical conditions, hospital length of stay prior to infection and hospital unit of infection, and consequences and outcome of HARVI. The at-risk population for calculation of the incidence of HARVI was all admitted patient-days at the hospital over this time period. Results Between July 2017 and June 2018 the incidence of HARVI (definite or possible hospital onset) was 1.2 infections per 1,000 admitted patient-days (60% due to rhinovirus/enterovirus, 12% due to respiratory syncytial virus, and 9% due to influenza). Overall, 48% of patients were under 2 years of age, 18% were between 2 and 5 years of age, and 34% were over 5 years of age. Twenty-one percent were immunocompromised and 35% had underlying lung disease. The median length of stay prior to symptom onset was 11 days (IQR 5–36 days) and the median total length of stay was 30 days (IQR 15–82.5 days). Eight individuals had more than one HARVI over this time period. Nineteen percent were transferred to the intensive care unit and 7% died during their hospital admission Conclusion HARVI occurs frequently in a pediatric hospital and often in patients with underlying comorbidities. The risk for HARVI increases substantially with increased length of stay. Such data support the need for tracking HARVI in high-risk institutions.

The burden of healthcare-associated viral respiratory infections in children’s hospitals is substantial and varies among hospitals; rhinovirus is the most prevalent etiology. Future research should focus on best practices for preventing these infections., Objective Although healthcare-associated (HA) viral respiratory infections (VRIs) are common in pediatrics, no benchmark for comparison exists. We aimed to determine, compare, and assess determinants of unit-specific HA-VRI incidence rates in 2 children’s hospitals. Methods This study was a retrospective comparison of prospective cohorts. The Montreal Children’s Hospital and the Cohen Children’s Medical Center of New York perform prospective surveillance for HA-VRI using standardized definitions that require the presence of symptoms compatible with VRI and virus detection. Cases detected between April 1, 2010, and March 31, 2013, were identified using surveillance databases. Annual incidence rates were calculated, and a generalized estimating equation model was used to assess determinants of HA-VRI rates. Results The overall HA-VRI rate during the 3-year study period was significantly higher at Montreal Children’s Hospital than that at Cohen Children’s Medical Center of New York (1.91 vs 0.80 per 1000 patient-days, respectively; P < .0001). Overall, the HA-VRI incidence rate was lowest in the neonatal intensive care unit. Rates in the pediatric intensive care, oncology, and medical/surgical units were similar. The most common etiology of HA-VRI at both institutions was rhinovirus (49% of cases), followed by parainfluenza virus and respiratory syncytial virus. Hospitals with less than 50% single rooms had HA-VRI rates 1.33 (95% confidence interval, 1.29–1.37) times higher than hospitals with more than 50% single rooms for a given unit type. Conclusions HA-VRI rates were substantial but different among 2 children’s hospitals. Future studies should examine the effect of HA-VRI and evaluate best practices for preventing such infections.

BACKGROUNDWe investigated an increase in the incidence of healthcare-associated Clostridium difficile infection (CDI) that occurred following a change from a bleach disinfectant to a peracetic acid–based disinfectant.OBJECTIVETo evaluate the efficacy of the peracetic acid–based disinfectant.DESIGNLaboratory-based product evaluation.METHODSThe commercial peracetic acid–based product is activated on site by mixing a small volume of concentrated hydrogen peroxide and peracetic acid present in a “SmartCap” reservoir with the remaining contents of the container. We measured concentrations of peracetic acid in newly activated and in-use product and determined the stability of nonactivated and activated product. We tested the efficacy of the product against C. difficile spores using the American Society for Testing and Materials standard quantitative carrier disk test method.RESULTSMeasured concentrations of peracetic acid (50–800 parts per million [ppm]) were significantly lower than the level stated on the product label (1,500 ppm), and similar results were obtained for containers from multiple lot numbers and from another hospital. Product with peracetic acid levels below 600 ppm had significantly reduced activity against C. difficile spores. Peracetic acid concentrations were reduced markedly after storage of either activated or nonactivated product for several weeks. The Environmental Protection Agency confirmed the finding of low disinfectant levels and ordered discontinuation of sale of the product.CONCLUSIONUse of a defective peracetic acid–based surface disinfectant may have contributed to an increase in healthcare-associated CDI. Our findings highlight the importance of evaluating the efficacy of liquid disinfectants in healthcare settings.Infect Control Hosp Epidemiol 2017;38:300–305

Compared to chart review, a definition based on the International Classification of Disease, Ninth Revision, Clinical Modification (ICD-9-CM) diagnosis code for healthcare-associated influenza-like illness (HA-ILI) among young children in a large pediatric network demonstrated high positive and negative predictive values. This finding suggests that electronic health record–based definitions for surveillance can accurately identify medically attended outpatient HA-ILI cases for research and surveillance.Infect Control Hosp Epidemiol 2016;1–4

BACKGROUNDOur objective was to estimate the per-infection and cumulative mortality and cost burden of multidrug-resistant (MDR) Acinetobacter healthcare-associated infections (HAIs) in the United States using data from published studies.METHODSWe identified studies that estimated the excess cost, length of stay (LOS), or mortality attributable to MDR Acinetobacter HAIs. We generated estimates of the cost per HAI using 3 methods: (1) overall cost estimates, (2) multiplying LOS estimates by a cost per inpatient-day ($4,350) from the payer perspective, and (3) multiplying LOS estimates by a cost per inpatient-day from the hospital ($2,030) perspective. We deflated our estimates for time-dependent bias using an adjustment factor derived from studies that estimated attributable LOS using both time-fixed methods and either multistate models (70.4% decrease) or matching patients with and without HAIs using the timing of infection (47.4% decrease). Finally, we used the incidence rate of MDR Acinetobacter HAIs to generate cumulative incidence, cost, and mortality associated with these infections.RESULTSOur estimates of the cost per infection were $129,917 (method 1), $72,025 (method 2), and $33,510 (method 3). The pooled relative risk of mortality was 4.51 (95% CI, 1.10–32.65), which yielded a mortality rate of 10.6% (95% CI, 2.5%–29.4%). With an incidence rate of 0.141 (95% CI, 0.136–0.161) per 1,000 patient-days at risk, we estimated an annual cumulative incidence of 12,524 (95% CI, 11,509–13,625) in the United States.CONCLUSIONThe estimates presented here are relevant to understanding the expenditures and lives that could be saved by preventing MDR Acinetobacter HAIs.Infect Control Hosp Epidemiol 2016;1–7