Infection prevention and control: critical strategies for nursing practice.

Infection prevention and control (IPC) is essential in nursing practice to safeguard patient health and reduce healthcare-associated infections. This article explores IPC strategies, including hand hygiene, the use of personal protective equipment, environmental cleaning, safe injection practices, and antimicrobial stewardship. It discusses the implementation challenges and solutions, such as ensuring compliance through education, monitoring and strong leadership. IPC measures are crucial in preventing infections such as catheter-associated urinary tract infections, central line-associated bloodstream infections, surgical site infections, and ventilator-associated pneumonia. By integrating personalised IPC strategies into nursing practice, healthcare providers can significantly improve infection control outcomes and enhance overall patient safety and quality of care.

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.

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.

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.

Beyond the distance between juridic and scientific decision-making process: An evidence-based prediction algorithm for professional liability assessment in healthcare-associated infections.

BACKGROUND: HAIs (Healthcare-Acquired-Infections) have been recently the subject of judgment n. 6386 pronounced on 3rd March 2023 by the Italian Supreme Court. This sentence provided three criteria to determine whether a health facility is responsible for the patient contracting a nosocomial infection, i.e. time criterion, topographical criterion and clinical criterion. Accordingly, the healthcare facility is obliged to prove the fulfillment of a series of preventive hygiene measures specifically detailed by the legislator. Herein, the positive predictive value of these criteria ("juridic criteria") in the identification of professional liability for nosocomial infections was evaluated in comparison with clinical criteria reviewed by Infectious Disease specialists ("Infectious-Disease criteria", i.e. presence of a Multidrug Resistant Organism (MDRO); development of surgical site infection; inadequate antibiotic therapy; inadequate disinfection). METHODS: Two retrospective cohorts were compared from the Portal of Telematic Services of the Ministry of Justice; 51 patients were extrapolated from Italian judgments concerning claims for Gram-negative nosocomial infections in the three-year period 2020-2022. On the other side, from the electronic database of University Hospital of Bari we extracted 349 patients affected by Gram-negative infections in the same timespan. Both "juridic" criteria and "Infectious-Disease" criteria were then applied to the full cohort after stratification for cohort of origin and after stratification for nosocomial or non-nosocomial infections. Predictive value of criteria was evaluated through receiver operating characteristic (ROC) curves and area under the curve (AUC). RESULTS: Overall, the incidence of definite nosocomial infections (according to final judgement or clinical records discharge letter) was 84 % in juridic cohort and 46 % in "real-world" series. Data suggested that the presence of all three juridic criteria [ROC AUC = 0.944 (95%CI = 0.924-0.963)] or the four clinical criteria [ROC AUC = 0.948 (95%CI = 0.928-0.969)] predicted well a case of nosocomial infection with professional liability. Moreover, by summarizing both criteria in a single classification system, the generated ROC curve (was the one with the highest AUC [0.9488 (95%CI = 0.928-0.969)]. Accordingly, further tests were performed, evaluating the predictive value of one juridic criterium plus at one of more Infectious-Disease criteria. Interestingly, the ROCs curves demonstrated that the presence of at least 1 juridic criteria plus at least 2 Infectious Disease criteria reached a predictive value comparable to 2 or 3 juridic criteria. CONCLUSIONS: The results highlight the efficiency of new criteria laid down in the judgment of the Italian Supreme Court to attribute liability for nosocomial infection despite the disputed distance between juridic and scientific decision-making process. In addition, the use of a combined score combining "juridic" and "Infectious-Disease" criteria provides a high-quality tool to be used by technical consultants to make up for lack of clinical documentation by passing judgments concerning litigation about professional liability in case of nosocomial infections. This sheds light on the possibility to face worldwide judicial inquiries with scientific rigor.

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.

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.

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.

Developing a framework for identifying risk factors and estimating direct economic disease burden attributable to healthcare-associated infections: a case study of a Chinese Tuberculosis hospital.

Healthcare-associated infections (HAIs) represent a major global health burden, which necessitate effective frameworks to identify potential risk factors and estimate the corresponding direct economic disease burden. In this article, we proposed a framework designed to address these needs through a case study conducted in a Tuberculosis (TB) hospital in Hubei Province, China, using data from 2018 to 2019. A comprehensive multistep procedure was developed, including ethical application, participant inclusion, risk factor identification, and direct economic disease burden estimation. In the case study, ethical approval was obtained, and patient data were anonymized to ensure privacy. All TB hospitalized patients over the study period were included and classified into groups with and without HAIs after screening the inclusion and exclusion criteria. Key risk factors, including gender, age, and invasive procedure were identified through univariate and multivariate analyses. Then, propensity score matching was employed to select the balanced groups with similar characteristics. Comparisons of medical expenditures (total medical expenditure, medicine expenditure, and antibiotics expenditure) and hospitalization days between the balanced groups were calculated as the additional direct economic disease burden measures caused by HAIs. This framework can serve as a tool for not only hospital management and policy-making, but also implementation of targeted infection prevention and control measures. Moreover, it has the potential to be applied in various healthcare settings at local, regional, national, and international levels to identify high-risk areas, optimize resource allocation, and improve hospital management and governance, as well as inter-organizational learning. Challenges to implement the framework are also raised, such as data quality, regulatory compliance, considerations on unique nature of communicable diseases and other diseases, and training need for professionals.

Phenotypic and genotypic characterization of methicillin resistant Staphylococcus aureus associated with pyogenic infections.

Background and Objectives: Staphylococcal infections are one of the major infectious diseases affecting globally in spite of advances in development of antimicrobial agents. Knowledge and awareness about the local pattern and prevalence of MRSA infections plays a key role in treatment. The aim of this study was to identify MRSA strains by phenotypic and genotypic methods and to analyze the antibiotic susceptibility pattern of MRSA strains from patients attending a tertiary care hospital. Materials and Methods: This study was conducted over a period of 1 year, where 296 isolates of Staphylococcus aureus were isolated from various clinical specimens. The isolated strains were examined for antibiotic susceptibility by the modified Kirby Bauer disc diffusion method. Methicillin resistance was detected by cefoxitin disk diffusion test. Results: A total of 104 isolates were found to be MRSA and 192 were found to be MSSA. Among the 104 MRSA isolates, 10 strains that were multidrug resistant were subjected to 16S rRNA gene sequencing analysis. All the 10 strains had a 99% match with S. aureus strains that were responsible for causing some serious biofilm mediated clinical manifestations like cystic fibrosis and device mediated infections. The biofilms were quantified using crystal violet staining and their ability to produce biofilms was analyzed using scanning electron microscopy and matched with the Genbank. Conclusion: Hence these phylogenetic analysis aid in treating the patients and combating resistance to antibiotics.

Prevalence of Healthcare-Associated Infections in a Tertiary Hospital in Casablanca, Morocco, 2021.

BACKGROUND: During the COVID-19 pandemic, healthcare professionals experienced an increased workload, which may have affected infection prevention and control (IPC) programs and consequently healthcare-associated infection (HAI) rates. The objective of this study was to estimate the prevalence of HAI in Ibn Rochd University Hospital Center (IRUHC) and identify associated factors. METHODS: A survey was conducted on November 30, 2021 at IRUHC, including all patients hospitalized for at least 48 hours. Data was collected using a questionnaire, and analyzed using SPSS IBM software version 16. The significance level was set at 0.05. RESULTS: Among 887 patients, the prevalence of HAI was 9.7% (7.7%; 11.6%). The highest prevalence was observed in intensive care units (ICUs) (44.2%). Nosocomial pneumonia was the most common site (26.8%). The main isolated microorganisms were Acinetobacter baumannii (18.0%) and Escherichia coli (16.0%). All Acinetobacter baumannii isolated strains were imipenem-resistant. The presence of HAI was significantly associated with the presence of an invasive medical device (p<0.001), a higher physical status score of American Society of Anesthesiologists (ASA) (p<0.001), and a longer hospital stay (p<0.001). Conclusion : The emergence of imipenem-resistant Acinetobacter baumannii (IRAB) represents a serious therapeutic and epidemiological problem requiring the establishment of a system for monitoring the microbial environment and the application of strict hygiene measures.

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.

Impact of central-line-associated bloodstream infections and catheter-related bloodstream infections: a systematic review and meta-analysis.

BACKGROUND: Accurate effect estimates are needed to inform input parameters of health economic models. Central-line-associated bloodstream infections (CLABSIs) and catheter-related bloodstream infections (CRBSIs) are different definitions used for central-line bloodstream infections and may represent dissimilar patients, but previous meta-analyses did not differentiate between CLABSIs/CRBSIs. AIM: To determine outcome effect estimates in CLABSI and CRBSI patients, compared to uninfected patients. METHODS: PubMed, Embase, and CINAHL were searched from January 2000 to March 2024 for full-text studies reporting all-cause mortality and/or hospital length of stay (LOS) in adult inpatients with and without CLABSI/CRBSI. Two investigators independently reviewed all potentially relevant studies and performed data extraction. Odds ratio for mortality and mean difference in LOS were pooled using random-effects models. Risk of study bias was assessed using ROBINS-E. FINDINGS: Thirty-six studies were included. Sixteen CLABSI and 12 CRBSI studies reported mortality. The mortality odds ratios of CLABSIs and CRBSIs, compared to uninfected patients, were 3.19 (95% CI: 2.44, 4.16; I2 = 49%) and 2.47 (95% CI: 1.51, 4.02; I2 = 82%), respectively. Twelve CLABSI and eight CRBSI studies reported hospital LOS; only three CLABSI studies and two CRBSI studies accounted for the time-dependent nature of CLABSIs/CRBSIs. The mean differences in LOS for CLABSIs and CRBSIs compared to uninfected patients were 16.14 days (95% CI: 9.27, 23.01; I2 = 91%) and 16.26 days (95% CI: 10.19, 22.33; I2 = 66%), respectively. CONCLUSION: CLABSIs and CRBSIs increase mortality risk and hospital LOS. Few published studies accounted for the time-dependent nature of CLABSIs/CRBSIs, which can result in overestimation of excess hospital LOS.

Infection prevention and control: understanding the fundamentals.

Infection prevention and control is crucial to prevent patients and healthcare staff from being harmed by avoidable infections, including healthcare-associated infections. This article outlines the main elements of standard precautions for infection prevention and control, as set out by the World Health Organization. Nurses and other healthcare professionals can use this information to refresh their knowledge of infection prevention and control, understand the appropriate practices that should be adopted to reduce the risk of infection transmission, and increase their awareness of the importance of sustainability and education.

Cleaning time and motion: an observational study on the time required to clean shared medical equipment in hospitals effectively.

BACKGROUND: Despite the important role that cleaning plays in reducing the risk of healthcare-associated infections, no research has been undertaken to quantify the time required for effective cleaning and disinfection of different pieces of shared medical equipment commonly used in hospitals. This short report presents the results from a study that aimed to quantify the time required to clean common pieces of shared medical equipment effectively. METHODS: An observational time and motion study was conducted in a nursing simulation laboratory to determine the time required for effective cleaning and disinfection of 12 pieces of shared medical equipment commonly used in hospital. After training, the participants cleaned and disinfected equipment, with the time taken to clean recorded. Cleaning was deemed to be effective if ≥80% of ultraviolet fluorescent dots were removed during the cleaning process. MAIN RESULTS: The time to clean equipment effectively ranged from 50 s [blood glucose testing kit; 95% confidence interval (CI) 0:40-1:00 (min:s)] to 3 min 53 s [medication trolley; 95% CI 3:36-4:11 (min:s)]. The intravenous stand was cleaned most effectively, with 100% of dots removed (N = 100 dots). In contrast, the bladder scanner was the most difficult to clean, with 12 attempts required to meet the 80% threshold for effective cleaning. CONCLUSION: This study will inform staffing and training requirements to plan the cleaning and disinfection of shared medical equipment effectively. The findings can also be used for business cases, and in future cost-effectiveness evaluations of cleaning interventions that include shared medical equipment.