Outcomes associated with Healthcare-associated Respiratory Syncytial Virus in Children's Hospitals.

To determine if healthcare-associated (HA)-RSV is associated with worse outcomes, this multicenter cohort study studied 26 children with HA-RSV and 78 matched non-HA-RSV patients of whom 58% and 55%, respectively, had >2 comorbidities. Overall, 39% of HA-RSV versus 18% of non-HA-RSV patients required respiratory support escalation (aOR 5.1, CI95 1.4,19.1).

Risk factors for multidrug-resistant bacteria in critically ill children and MDR score development.

Antimicrobial resistance and healthcare-associated infections (HAIs) are major health concerns in the pediatric intensive care unit (PICU). Device-associated HAIs (DA-HAIs) produced by multidrug-resistant (MDR) bacteria are especially worrying, as they can lead to an inappropriate empirical antibiotic therapy, worsened outcomes and increased mortality. The MDR score was designed to enable the prompt identification of patients at high risk of developing an MDR infection. This was a single-center, prospective, observational study, conducted between January 2015 and December 2022, including PICU patients with a microbiologically confirmed DA-HAI. Demographic, clinical characteristics and outcomes were compared between patients with a DA-HAI caused by MDR and non-MDR-associated DA-HAI, and a risk score for multi-resistance was designed. In total, 257 DA-HAI cases were included, 86 (33.46%) caused by an MDR microbe. In the univariate analysis, comorbidity (p = 0.002), previous MDR colonization (p < 0.001), previous surgery (p = 0.018), and previous antibiotic therapy (p = 0.009) were more frequent among MDR-associated DA-HAI (MDR DA-HAI). In addition, days from device insertion to infection and from PICU admission (p < 0.005) to infection were longer in patients with MDR. In the multivariate analysis, previous comorbidity (OR 2.201), previous MDR colonization (OR 5.149), and PICU length of stay longer than 9 days (OR 1.782) were independently associated with MDR-DA-HAI. Using these three independent risk factors for MDR, a risk score was created: the MDR score. Three risk groups were obtained: low risk (0-2 points), intermediate risk (3-7 points), and high risk (8-12 points). Seventy-one patients with MDR-DA-HAI (82.6%) were classified in the intermediate or high-risk group, with a global sensitivity of 82.6%. The specificity in the high-risk group was 91.8%, and 81.0% of patients who were stratified into the low-risk group had non-MDR-associated infections, so they were correctly classified. Conclusions: The MDR score can be a useful tool to stratify patients in risk groups for MDR-DA-HAI. It may help to guide the choice of empirical therapy, leading to early optimization and avoiding delays in establishing appropriate treatment. This study reinforces the importance of stratifying patients based on their individual risk profile for MDR infection.

Evaluating hand hygiene knowledge, attitudes, and practices among healthcare workers in post-pandemic H1N1 influenza control: a cross-sectional study from China.

Background: This study evaluates the knowledge, attitudes, and practices (KAP) of hand hygiene among healthcare workers, crucial for preventing healthcare-associated infections (HAIs) in medical facilities. Methodology: This cross-sectional study assessed hand hygiene KAP among healthcare workers across various settings in Hubei, China utilizing a stratified random sampling approach from, December 25, 2023-to-April 25, 2024. A bilingual electronic survey, adapted from validated tools, was disseminated via email and social media to ensure a broad reach. Participants included diverse healthcare professionals who met specific inclusion criteria. Responses were analyzed using R software, employing descriptive and inferential statistics to identify key predictors of hand hygiene behavior and to confirm the reliability of the survey instrument. Results: The survey of 2,265 healthcare workers revealed that 77% demonstrated comprehensive knowledge of hand hygiene, 80% exhibited positive attitudes, and 94% practiced effective hand hygiene. Notable findings include a significant understanding of hand hygiene's role in preventing respiratory illnesses (58%) and HAIs (41% agreed, 39% unsure). High compliance in practices like washing hands for at least 20 s was evident (84%), though gaps in confidence about hand hygiene techniques were noted (33% confident, 56% unsure). Binary logistic regression analysis indicated that younger healthcare workers (21-30 years) were more likely to exhibit both knowledge (OR = 7.4, 95% CI = 1.44-136, p = 0.059) and positive attitudes (OR = 4.48, 95% CI = 1.73-11.8, p < 0.001) compared to other age groups. Significant associations were found between higher income levels and positive attitudes toward hand hygiene (OR for ≥80,000 = 3.19, 95% CI = 2.05-5.02, p < 0.001), and between knowledge and practices, suggesting that well-informed individuals are more likely to adhere to recommended practices. Conclusion: The findings reveal robust hand hygiene knowledge but uncover critical confidence gaps among healthcare workers, urging immediate, targeted educational interventions to fortify adherence and prevent infection outbreaks.

Trends in surveillance indicators for central catheter-associated bloodstream infections in a tertiary hospital in Switzerland.

BACKGROUND: Central line-associated bloodstream infections (CLABSI) are associated with relevant morbidity and mortality. Longitudinal dynamics in CLABSI incidence and the spectrum of causative microorganisms are limited. OBJECTIVE: We aimed to describe trends in CLABSI incidence, use of central lines, and causative pathogens. METHODS: We analysed prospectively collected data on CLABSI at a Swiss tertiary care hospital between January 2016 and December 2023. We investigated longitudinal changes of incidence densities, catheter utilization and causative pathogens. RESULTS: A total of 707 CLABSI were observed, corresponding to an incidence density of 1.69 (95% CI 1.56 - 1.81) CLABSI per 1000 catheter-days. There was no significant trend of CLABSI incidence density per 1000 catheter-days (z=0.86, P=0.391), but an increase of catheter utilization ratio (z=8.88, P<0.001). Coagulase-negative staphylococci (CNS) (n=207, 23.4%) and Enterococcus spp. (n=134, 15.2%; E. faecium n=94, 10.6%; E. faecalis n=37, 4.1%; other Enterococcus spp. n=3, 0.34%) were the most frequent causative pathogens. Over the years, the proportion of Enterococcus spp. (z=3.4, P<0.001), driven by an increase of E. faecium (z=3.2, P=0.001), and yeast (z=2.3, P=0.020) increased, whereas CNS decreased (z=-6.1, P<0.001). CONCLUSIONS: Prospective CLABSI surveillance indicated stable incidence densities per 1000 catheter-days, but there were significant shifts of causative microorganisms over time.

Can probiotics trigger a paradigm shift for cleaning healthcare environments? A narrative review.

BACKGROUND: The environment of healthcare institutions plays a major role in the transmission of multidrug resistant organisms (MDRO) and likely in subsequent healthcare-associated infections (HAIs). Probiotic cleaning products are a novel option for environmental cleaning. They represent a sustainable and biodegradable alternative to conventional chemical disinfectants for controlling microbial bioburden, and preventing pathogen transmission in hospital environments. High-quality studies including randomized clinical trials (RCT) triggered a summary with expert recommendations until further studies allow a critical review and meta-analysis of the data. METHODS: Infection control experts from five European countries summarized available data as of June 2023. Authors presented their published RCTs, reviewed the existing literature on probiotic cleaning, summarized the results and identified knowledge gaps and subsequent research needs. RESULTS: Probiotic cleaning was similarly effective for reducing HAI-related pathogens, enveloped viruses such as SARS-CoV-2 and MDRO in environmental samples compared to conventional chemical disinfectants. More importantly, probiotic cleaning was non-inferior to disinfectants in terms of preventing HAI in a large RCT. In addition, probiotic cleaning has also been shown to reduce antimicrobial resistance genes (ARG), costs and antimicrobial consumption in other hospital trials. They are biodegradable, do not require any protection for chemical hazards, and are compliant with occupational health. A paradigm shift, however, requires a very strong evidence to justify for such a change. In the past, this evidence was limited by the heterogeneity of study design, products, protocols, and few studies on clinical outcomes used in the trials. Furthermore, the regulatory, safety, and quality aspects of probiotic cleaning products are not, yet, completely defined and require clearing by authorities. CONCLUSION: To date, probiotic cleaning is a breakthrough technology and a biological alternative for chemical disinfectant when treating hospital environment. It may also have a positive effect on MDRO transmission. However, the different compositions of probiotic products will require standardization, and more robust data should be generated to support these promising results on different compositions. This may trigger a paradigm shift in cleaning of healthcare institutions from chemical to biological control of the hospital environment.

Involvement of healthcare staff in hospital hygiene during emergency hemodialysis.

BACKGROUND: Healthcare-associated infections are still a worrying health problem that complicates patient care and increases morbidity and mortality. The incidence of infections in hemodialysis patients is still high and they constitute the second cause of hospitalization and death in this category. AIMS: The study's objective was to evaluate nursing and medical staff's involvement in hospital hygiene. METHODS: This is an observational study that took place within the hemodialysis unit of a Moroccan university hospital from March 2021 to June 2021. A surface swabbing technique for bacteriological examination was also carried out. RESULTS: The study revealed some shortcomings regarding hand hygiene which was respected by the nurses in only 17.5% of sessions and in 42.2% by the doctors. Other shortcomings in asepsis measures, were also noted such as the non-change of gloves after skin preparation (1.03%) and before manual compression. The serological status of patients concerning HBV, HVC, and HIV was also not always known (31.1%). The bacteriological samples from the surfaces also showed colonization of the medical devices and the ultrasound scanner used for the ultrasound-guided introduction of the central catheters. The results of the study showed some deviations concerning the recommendations; however, they are comparable to other studies conducted internationally, especially in terms of hand hygiene. CONCLUSION: Our study results highlight some shortcomings adherence to hygiene measures like inconsistent disinfection of medical devices and dialysis stations, as well as insufficient hand hygiene practices among some staff members. However, we observed an improvement in practices following the implementation of awareness-raising sessions. To maintain improved hygiene practices and prevent infections, it is crucial to provide ongoing training for staff, ensure adequate resources, and regularly monitor compliance with hygiene standards.

Determinants of Healthcare-Associated Infections in King Abdulaziz Specialized Hospital in Taif, Saudi Arabia.

BACKGROUND: Healthcare-associated infections (HAIs) represent a significant challenge in hospital settings, contributing to increased morbidity, mortality, and healthcare costs. This study aimed to estimate the prevalence and socio-demographic and clinical determinants of HAIs at the King Abdulaziz Specialized Hospital (KAASH) in Taif, Saudi Arabia. METHODOLOGY: A hospital-based cross-sectional study was conducted from March 2023 to January 2024 targeting inpatients aged 18 and above in all units and wards. Data were collected using the National Healthcare Safety Network (NHSN) criteria for definitions of surveillance. A structured questionnaire gathered socio-demographic and clinical data from patients or next of kin if the patient was not fully oriented. Descriptive statistics were performed, and analytical methods used included Pearson chi-square test, Pearson correlation, independent t-test, and one-way analysis of variance. RESULTS: Among 318 participants included in this study, the mean age of participants was 56.44 years, with a slight female predominance (n=164, 51.6%). Hypertension (n=162, 50.9%) and diabetes (n=126, 39.6%) were the most prevalent comorbidities. Pneumonia (n=60, 26.8%) and trauma (n=55, 17.4%) were the leading causes of admission. The two most common HAIs included catheter-associated urinary tract infections (CAUTI) (n=124, 39%) and central line-associated bloodstream infections (CLABSI) (n=74, 23.3%). The primary causative organisms were Klebsiella pneumoniae (n=96, 30.2%) and Acinetobacter baumannii (n=32, 10.1%). The most significant predictors of HAIs were as follows: For CLABSI, risk factors include having three or more comorbidities, fever above 37.8°C, chills or rigors, hypotension, and positive blood culture. For CAUTI, key predictors were urinary tract infection (UTI), positive urine culture, acute pain or swelling of the testes, suprapubic tenderness, visible hematuria, and leukocytosis. Significant predictors of bloodstream infections (BSI) include having a BSI, positive blood culture, chills or rigors, and hypotension. Fever and hypotension increased CLABSI and BSI risk but reduced the CAUTI risk. CONCLUSION: The study highlights a significant burden of HAIs at the KAASH, with multiple predictors. The findings underscore the need for robust infection control measures and targeted interventions to reduce HAI incidence and improve patient outcomes.

Advancing Patient Safety: The Future of Artificial Intelligence in Mitigating Healthcare-Associated Infections: A Systematic Review.

BACKGROUND: Healthcare-associated infections are infections that patients acquire during hospitalization or while receiving healthcare in other facilities. They represent the most frequent negative outcome in healthcare, can be entirely prevented, and pose a burden in terms of financial and human costs. With the development of new AI and ML algorithms, hospitals could develop new and automated surveillance and prevention models for HAIs, leading to improved patient safety. The aim of this review is to systematically retrieve, collect, and summarize all available information on the application and impact of AI in HAI surveillance and/or prevention. METHODS: We conducted a systematic review of the literature using PubMed and Scopus to find articles related to the implementation of artificial intelligence in the surveillance and/or prevention of HAIs. RESULTS: We identified a total of 218 articles, of which only 35 were included in the review. Most studies were conducted in the US (n = 10, 28.6%) and China (n = 5; 14.3%) and were published between 2021 and 2023 (26 articles, 74.3%) with an increasing trend over time. Most focused on the development of ML algorithms for the identification/prevention of surgical site infections (n = 18; 51%), followed by HAIs in general (n = 9; 26%), hospital-acquired urinary tract infections (n = 5; 9%), and healthcare-associated pneumonia (n = 3; 9%). Only one study focused on the proper use of personal protective equipment (PPE) and included healthcare workers as the study population. Overall, the trend indicates that several AI/ML models can effectively assist clinicians in everyday decisions, by identifying HAIs early or preventing them through personalized risk factors with good performance. However, only a few studies have reported an actual implementation of these models, which proved highly successful. In one case, manual workload was reduced by nearly 85%, while another study observed a decrease in the local hospital's HAI incidence from 1.31% to 0.58%. CONCLUSIONS: AI has significant potential to improve the prevention, diagnosis, and management of healthcare-associated infections, offering benefits such as increased accuracy, reduced workloads, and cost savings. Although some AI applications have already been tested and validated, adoption in healthcare is hindered by barriers such as high implementation costs, technological limitations, and resistance from healthcare workers. Overcoming these challenges could allow AI to be more widely and cost-effectively integrated, ultimately improving patient care and infection management.

Development and evaluation of a model for predicting the risk of healthcare-associated infections in patients admitted to intensive care units.

This retrospective study used 10 machine learning algorithms to predict the risk of healthcare-associated infections (HAIs) in patients admitted to intensive care units (ICUs). A total of 2,517 patients treated in the ICU of a tertiary hospital in China from January 2019 to December 2023 were included, of whom 455 (18.1%) developed an HAI. Data on 32 potential risk factors for infection were considered, of which 18 factors that were statistically significant on single-factor analysis were used to develop a machine learning prediction model using the synthetic minority oversampling technique (SMOTE). The main HAIs were respiratory tract infections (28.7%) and ventilator-associated pneumonia (25.0%), and were predominantly caused by gram-negative bacteria (78.8%). The CatBoost model showed good predictive performance (area under the curve: 0.944, and sensitivity 0.872). The 10 most important predictors of HAIs in this model were the Penetration Aspiration Scale score, Braden score, high total bilirubin level, female, high white blood cell count, Caprini Risk Score, Nutritional Risk Screening 2002 score, low eosinophil count, medium white blood cell count, and the Glasgow Coma Scale score. The CatBoost model accurately predicted the occurrence of HAIs and could be used in clinical practice.

Device associated healthcare associated infection (DA-HAI): a detailed analysis of risk factors and outcomes in a university hospital in Rome, Italy.

Introduction: This study investigates the impact of invasive procedures on healthcare-associated infections (HAI) at Policlinico Universitario Tor Vergata in Rome, Italy, aiming to understand their role in device-associated HAI and to inform prevention strategies. Methods: A retrospective cohort analysis was conducted, examining mandatory discharge records and microbiology data from 2018 across all departments. The study focused on adult patients, analysing the correlation between invasive procedures and HAI through univariate and multivariate logistic regression. Results: Of the 12,066 patients reviewed, 1,214 (10.1%) experienced HAI. Univariate analysis indicated an association between invasive procedures and HAI (OR = 1.81, P < 0.001), which was not observed in multivariable analysis. Specific procedures significantly raised HAI risks: temporary tracheostomy (AOR = 22.69, P <0.001), central venous pressure monitoring (AOR = 6.74, P <0.001) prolonged invasive mechanical ventilation (AOR = 4.44, P <0.001), and venous catheterisation (AOR = 1.58, P <0.05). Aggregated high-risk procedures had an increased likelihood of HAI in multivariable analysis (OR = 2.51, P < 0.001). High-risk departments were also notably associated with HAI (OR = 6.13, P < 0.001). Conclusions: This study suggests that specific invasive procedures, such as temporary tracheostomy, significantly increase HAI risks. The results highlighting the need for targeted infection prevention and control procedures and supports the need for innovative methods such as record-linkage in policymaking to address HAI. These findings inform clinical practice and healthcare policy to improve patient safety and care quality.

Outbreaks in the Neonatal Intensive Care Unit: Description and Management.

Healthcare settings, especially intensive care units, can provide an ideal environment for the transmission of pathogens and the onset of outbreaks. Many factors can contribute to the onset of an epidemic in a neonatal intensive care unit (NICU), including neonates' vulnerability to healthcare-associated infections, especially for those born preterm; facility design; frequent invasive procedures; and frequent contact with healthcare personnel. Outbreaks in NICUs are one of the most relevant problems because they are often caused by multidrug-resistant organisms associated with increased mortality and morbidity. The prompt identification of an outbreak, the subsequent investigation to identify the source of infection, the risk factors, the reinforcement of routine infection control measures, and the implementation of additional control measures are essential elements to contain an epidemic.

Clinical, demographic characteristics and antimicrobial resistance profile of Staphylococcus aureus isolated in clinical samples from pediatric patients in a tertiary hospital in Rio de Janeiro: 7-year longitudinal study.

BACKGROUND: In the pediatric population, Staphylococcus aureus infections are responsible for increased morbidity and mortality, length of hospitalization and the cost of inpatient treatment. The aim of this study is to describe the antimicrobial resistance profile of S. aureus isolated in clinical specimens from pediatric patients admitted to a tertiary hospital in Rio de Janeiro, Brazil. METHODS: Culture reports and medical records of hospitalized patients under 18 years of age with S. aureus infections between January 2015 and December 2022 were retrospectively analyzed. Information was collected on recent antibiotic use, previous hospital admission, inpatient unit, clinical specimen, time of infection (community or nosocomial), classification according to susceptibility to methicillin (methicillin sensitive - MSSA or methicillin resistant - MRSA) and sensitivity to other antimicrobials. We analyzed the distribution of the sensitivity profile of S. aureus infections over the 7 years evaluated in the study. RESULTS: Were included 255 unique clinical episodes, among which the frequencies of MSSA and MRSA were 164 (64%) and 91 (36%), respectively. Over the 7 years evaluated, there was stability in the prevalence percentage, with a predominance of MSSA in the range of 60 to 73.3%, except in 2020, when there was a drop in the prevalence of MSSA (from 73.3% in 2019 to 52.5%) with an increase in MRSA (from 26.7% in 2019 to 47.5%). Ninety-seven (38%) infections were community-acquired and 158 (62%) were healthcare-associated. The main clinical specimens collected were blood cultures (35.2%) and wound secretions (17%). The MRSA isolates presented percentages of sensitivity to trimethoprim-sulfamethoxazole from 90.4 to 100%, and to clindamycin from 77 to 89.8% in MRSA healthcare associated and MRSA community respectively. CONCLUSION: There was a constant predominance in the prevalence of MSSA with percentage values ​​maintained from 2015 to 2022, except in 2020, in which there was a specific drop in the prevalence of MSSA with an increase in MRSA. MSSA infections are still predominant in the pediatric population, but MRSA rates also present significant values, including in community infections, and should be considered in initial empiric therapy.

Baseline evaluation of the World Health Organization (WHO) infection prevention and control (IPC) core components in Pacific Island Countries and Territories (PICTs).

BACKGROUND: Comprehensive infection prevention and control (IPC) programmes are proven to reduce the spread of healthcare-associated infections (HAIs) and antimicrobial resistance (AMR). However, published assessments of IPC programmes against the World Health Organization (WHO) IPC Core Components in Pacific Island Countries and Territories (PICTs) at the national and acute healthcare facility level are currently unavailable. METHODS: From January 2022 to April 2023, a multi-country, cross-sectional study was conducted in PICTs. The self reporting survey was based on the WHO Infection Prevention Assessment Framework (IPCAF) that supports implementing the minimum requirements of the WHO eight core components of IPC programmes at both the national and facility level. The results were presented as a 'traffic light' (present, in progress, not present) matrix. Each PICT's overall status in achieving IPC core components was summarised using descriptive statistics. RESULTS: Fifteen PICTs participated in this study. Ten (67%) PICTs had national IPC programmes, supported mainly by IPC focal points (87%, n = 13), updated national IPC guidelines (80%, n = 12), IPC monitoring and feedback mechanisms (80%, n = 12), and waste management plans (87%, n = 13). Significant gaps were identified in education and training (20%, n = 3). Despite being a defined component in 67% (n = 10) of national IPC programmes, HAI surveillance and monitoring was the lowest scoring core component (13%, n = 2). National and facility level IPC guidelines had been adapted and implemented in 67% (n = 10) PICTs; however, only 40% (n = 6) of PICTs had a dedicated IPC budget, 40% (n = 6) had multimodal strategies for IPC, and 33% (n = 5) had daily environmental cleaning records. CONCLUSIONS: Identifying IPC strengths, gaps, and challenges across PICTs will inform future IPC programme priorities and contribute to regional efforts in strengthening IPC capacity. This will promote global public health through the prevention of HAIs and AMR.

Incidence and Predictors of Healthcare-Associated Infections in Patients Admitted to a Temporary Intensive Care Unit during the COVID-19 Pandemic Waves: A Two-Year (2021-2023) Retrospective Cohort Study in Rome, Italy.

To manage the number of critical COVID-19 patients, Umberto I Teaching Hospital in Rome established a temporary ICU on March 1, 2021. This study investigated the incidence and risk factors of healthcare-associated infections (HAIs) among these patients during various COVID-19 waves. Patients were grouped by admission date according to the dominant SARS-CoV-2 variant prevalent at the time (Alpha, Delta, Omicron BA.1, Omicron BA.2, Omicron BA.5, and Omicron XBB). First-HAI and mortality rates were calculated per 1000 patient-days. Predictors of first-HAI occurrence were investigated using a multivariable Fine-Gray regression model considering death as a competing event. Among 355 admitted patients, 27.3% experienced at least one HAI, and 49.6% died. Patient characteristics varied over time, with older and more complex cases in the later phases, while HAI and mortality rates were higher in the first year. Pathogens responsible for HAIs varied over time, with first Acinetobacter baumannii and then Klebsiella pneumoniae being progressively predominant. Multivariable analysis confirmed that, compared to Alpha, admission during the Omicron BA.1, BA.2, BA.5, and XBB periods was associated with lower hazards of HAI. Despite worsening COVID-19 patient conditions, late-phase HAI rates decreased, likely due to evolving pathogen characteristics, improved immunity, but also better clinical management, and adherence to infection prevention practices. Enhanced HAI prevention in emergency situations is crucial.

Preventing and Controlling Healthcare-Associated Infections: The First Principle of Every Antimicrobial Stewardship Program in Hospital Settings.

Antimicrobial resistance (AMR) is one of the main public health global burdens of the 21st century, responsible for over a million deaths every year. Hospital programs aimed at improving antibiotic use, referred to as antimicrobial stewardship programs (ASPs), can both optimize the treatment of infections and minimize adverse antibiotics events including the development and spread of AMR. The challenge of AMR is closely linked to the development and spread of healthcare-associated infection (HAIs). In fact, the management of patients with HAIs frequently requires the administration of broader-spectrum antibiotic regimens due to the higher risk of acquiring multidrug-resistant organisms, which, in turn, promotes resistance. For this reason, even before using antibiotics correctly, it is necessary to prevent and control the spread of HAIs in our hospitals. In this narrative review, we present seven measures that healthcare workers, even if not directly involved in the tasks of infection prevention and control, must know, support, and embrace. We hope that this review may raise awareness among all healthcare professionals about the issues with the increasing rate of AMR and the ongoing efforts towards minimizing its rise.

Medico-legal management of healthcare-associated infections: a cost-effectiveness analysis in an Italian tertiary hospital.

Introduction: Healthcare-associated infections are the main reported adverse event in healthcare, with significant economic costs that include those caused by medical malpractice claims. In Italy, there is a fault-based compensation system, but in this specific field, the burden of proof on the hospitals is particularly heavy. Hence, we aimed to verify the economic impact of the inclusion of experts in hospital infection surveillance into internal committees for claims assessment and to evaluate what would have been the economic impact of a mandatory no-fault system rather than the current system. Materials and methods: We compared two 4-year periods (T1: 2015-2018 and T2: 2019-2022), investigating the medical malpractice claims related to healthcare-associated infections in a large tertiary public hospital in Florence, Italy. Decisions of the internal committee, evolutions of the claims after the decision, and conclusions of the claims were registered. No-fault system simulations were used to evaluate the cost-effectiveness of the model. Results: We observed a decrease in the number of claims after the implementation of infection prevention and control (IPC) experts into the committee (a 24% decrease in rejections and a 19% increase in admissions). We found a 6806.98 euros difference (not statistically significant) in compensations in T1 and T2. Moreover, our simulations found that a no-fault compensation system - if alternative to the traditional fault-based approach - could lead to gains or losses for the plaintiffs depending on the approach chosen. (We observed a 52% mean decrease in compensations with a 150000 euros maximal indemnity and a 134% mean increase with an indemnity tailored considering also life expectancy). Discussion: Introducing experts in IPC into hospital committees for medico-legal claims management has proven to be cost-effective, offering a no-fault compensation system as an alternative to the traditional fault-based approach, supported by a properly evaluated maximal indemnity. Due to the limitations of our models, multicentric studies are recommended to verify our results.

The State-of-the-Art of Mycobacterium chimaera Infections and the Causal Link with Health Settings: A Systematic Review.

(1) Background. A definition of healthcare-associated infections is essential also for the attribution of the restorative burden to healthcare facilities in case of harm and for clinical risk management strategies. Regarding M. chimaera infections, there remains several issues on the ecosystem and pathogenesis. We aim to review the scientific evidence on M. chimaera beyond cardiac surgery, and thus discuss its relationship with healthcare facilities. (2) Methods. A systematic review was conducted on PubMed and Web of Science on 7 May 2024 according to PRISMA 2020 guidelines for reporting systematic reviews, including databases searches with the keyword "Mycobacterium chimaera". Article screening was conducted by tree authors independently. The criterion for inclusion was cases that were not, or were improperly, consistent with the in-situ deposition of aerosolised M. chimaera. (3) Results. The search yielded 290 eligible articles. After screening, 34 articles (377 patients) were included. In five articles, patients had undergone cardiac surgery and showed musculoskeletal involvement or disseminated infection without cardiac manifestations. In 11 articles, respiratory specimen reanalyses showed M. chimaera. Moreover, 10 articles reported lung involvement, 1 reported meninges involvement, 1 reported skin involvement, 1 reported kidney involvement after transplantation, 1 reported tendon involvement, and 1 reported the involvement of a central venous catheter; 3 articles reported disseminated cases with one concomitant spinal osteomyelitis. (4) Conclusions. The scarce data on environmental prevalence, the recent studies on M. chimaera ecology, and the medicalised sample selection bias, as well as the infrequent use of robust ascertainment of sub-species, need to be weighed up. The in-house aerosolization, inhalation, and haematogenous spread deserve experimental study, as M. chimaera cardiac localisation could depend to transient bacteraemia. Each case deserves specific ascertainment before tracing back to the facility, even if M. chimaera represents a core area for healthcare facilities within a framework of infection prevention and control policies.

Occurrence of chlorine-resistant Pseudomonas aeruginosa in hospital water systems: threat of waterborne infections for patients.

BACKGROUND: Several healthcare-associated infection outbreaks have been caused by waterborne Pseudomonas aeruginosa exhibiting its ability to colonize water systems and resist conventional chlorine treatment. This study aims to investigate the occurrence of Pseudomonas aeruginosa in hospital drinking water systems and the antimicrobial resistance profiles (antibiotic and chlorine resistance) of isolated strains. METHODS: We investigated the presence of Pseudomonas aeruginosa in water and biofilms developed in nine hospital water systems (n = 192) using culture-based and molecular methods. We further assessed the survival of isolated strains after exposure to 0.5 and 1.5 ppm concentrations of chlorine. The profile of antibiotic resistance and presence of antibiotic resistance genes in isolated strains were also investigated. RESULTS: Using direct PCR method, Pseudomonas aeruginosa was detected in 22% (21/96) of water and 28% (27/96) of biofilm samples. However, culturable Pseudomonas aeruginosa was isolated from 14 samples. Most of P. aeruginosa isolates (86%) were resistant to at least one antibiotic (mainly ß-lactams), with 50% demonstrating multidrug resistance. Moreover, three isolates harbored intI1 gene and two isolates contained blaOXA-24,blaOXA-48, and blaOXA-58| genes. Experiments with chlorine disinfection revealed that all tested Pseudomonas aeruginosa strains were resistant to a 0.5 ppm concentration. However, when exposed to a 1.5 ppm concentration of chlorine for 30 min, 60% of the strains were eliminated. Interestingly, all chlorine-resistant bacteria that survived at 30-minute exposure to 1.5 ppm chlorine were found to harbor the intI1 gene. CONCLUSIONS: The detection of antimicrobial resistant Pseudomonas aeruginosa in hospital water systems raises concerns about the potential for infections among hospitalized patients. The implementation of advanced mitigation measures and targeted disinfection methods should be considered to tackle the evolving challenges within hospital water systems.

Federated systems for automated infection surveillance: a perspective.

Automation of surveillance of infectious diseases-where algorithms are applied to routine care data to replace manual decisions-likely reduces workload and improves quality of surveillance. However, various barriers limit large-scale implementation of automated surveillance (AS). Current implementation strategies for AS in surveillance networks include central implementation (i.e. collecting all data centrally, and central algorithm application for case ascertainment) or local implementation (i.e. local algorithm application and sharing surveillance results with the network coordinating center). In this perspective, we explore whether current challenges can be solved by federated AS. In federated AS, scripts for analyses are developed centrally and applied locally. We focus on the potential of federated AS in the context of healthcare associated infections (AS-HAI) and of severe acute respiratory illness (AS-SARI). AS-HAI and AS-SARI have common and specific requirements, but both would benefit from decreased local surveillance burden, alignment of AS and increased central and local oversight, and improved access to data while preserving privacy. Federated AS combines some benefits of a centrally implemented system, such as standardization and alignment of an easily scalable methodology, with some of the benefits of a locally implemented system including (near) real-time access to data and flexibility in algorithms, meeting different information needs and improving sustainability, and allowance of a broader range of clinically relevant case-definitions. From a global perspective, it can promote the development of automated surveillance where it is not currently possible and foster international collaboration.The necessary transformation of source data likely will place a significant burden on healthcare facilities. However, this may be outweighed by the potential benefits: improved comparability of surveillance results, flexibility and reuse of data for multiple purposes. Governance and stakeholder agreement to address accuracy, accountability, transparency, digital literacy, and data protection, warrants clear attention to create acceptance of the methodology. In conclusion, federated automated surveillance seems a potential solution for current barriers of large-scale implementation of AS-HAI and AS-SARI. Prerequisites for successful implementation include validation of results and evaluation requirements of network participants to govern understanding and acceptance of the methodology.

Candidaemia and Central Line-Associated Candidaemia in a Network of Indian ICUs: Impact of COVID-19 Pandemic.

BACKGROUND AND OBJECTIVES: Candidaemia is a potentially life-threatening emergency in the intensive care units (ICUs). Surveillance using common protocols in a large network of hospitals would give meaningful estimates of the burden of candidaemia and central line associated candidaemia in low resource settings. We undertook this study to understand the burden and epidemiology of candidaemia in multiple ICUs of India, leveraging the previously established healthcare-associated infections (HAI) surveillance network. Our aim was also to assess the impact that the pandemic of COVID-19 had on the rates and associated mortality of candidaemia. METHODS: This study included adult patients from 67 Indian ICUs in the AIIMS-HAI surveillance network that conducted BSI surveillance in COVID-19 and non-COVID-19 ICUs during and before the COVID-19 pandemic periods. Hospitals identified healthcare-associated candidaemia and central line associated candidaemia and reported clinical and microbiological data to the network as per established and previously published protocols. RESULTS: A total of 401,601 patient days and 126,051 central line days were reported during the study period. A total of 377 events of candidaemia were recorded. The overall rate of candidaemia in our network was 0.93/1000 patient days. The rate of candidaemia in COVID-19 ICUs (2.52/1000 patient days) was significantly higher than in non-COVID-19 ICUs (1.05/patient days) during the pandemic period. The rate of central line associated candidaemia in COVID-19 ICUs (4.53/1000 central line days) was also significantly higher than in non-COVID-19 ICUs (1.73/1000 central line days) during the pandemic period. Mortality in COVID-19 ICUs associated with candidaemia (61%) was higher than that in non-COVID-19 ICUs (41%). A total of 435 Candida spp. were isolated. C. tropicalis (26.7%) was the most common species. C. auris accounted for 17.5% of all isolates and had a high mortality. CONCLUSION: Patients in ICUs with COVID-19 infections have a much higher risk of candidaemia, CLAC and its associated mortality. Network level data helps in understanding the true burden of candidaemia and will help in framing infection control policies for the country.