Evaluation of Machine Learning Algorithms for Pressure Injury Risk Assessment in a Hospital with Limited IT Resources.

Clinical decision support systems for Nursing Process (NP-CDSSs) help resolve a critical challenge in nursing decision-making through automating the Nursing Process. NP-CDSSs are more effective when they are linked to Electronic Medical Record (EMR) Data allowing for the computation of Risk Assessment Scores. Braden scale (BS) is a well-known scale used to identify the risk of Hospital-Acquired Pressure Injuries (HAPIs). While BS is widely used, its specificity for identifying high-risk patients is limited. This study develops and evaluates a Machine Learning (ML) model to predict the HAPI risk, leveraging EMR readily available data. Various ML algorithms demonstrated superior performance compared to BS (pooled model AUC/F1-score of 0.85/0.8 vs. AUC of 0.63 for BS). Integrating ML into NP-CDSSs holds promise for enhancing nursing assessments and automating risk analyses even in hospitals with limited IT resources, aiming for better patient safety.

Effectiveness of Ultraviolet Radiation and Disinfectant Wipes in Reducing the Microbial Contamination of Mobile Phones in a Tertiary Care Hospital.

Background As mobile phones act as a potential source of microbial contamination, particularly in a hospital environment, the effectiveness of two most debated interventions namely ultraviolet radiation and disinfectant wipes in reducing the microbial contamination of mobile phones is compared. Objective To screen the mobile phones of healthcare personnel for the presence of microorganisms and to compare the effectiveness of ultraviolet radiation and disinfectant wipes in reducing microbial contamination. Methods and materials Pre-intervention and post-intervention swabs were collected before and after the use of each intervention respectively using 56 samples and cultured for growth in nutrient agar. Agar plates are subjected to quantitative analysis using bacterial colony count to reflect the efficacy of the specific intervention used. The data collected was entered in Microsoft Excel (Microsoft® Corp., Redmond, WA, USA) and analysis was done using standard statistical packages. Results While comparing the pre-intervention bacterial load with the post-intervention load, post-intervention bacterial contamination in terms of colony-forming units/CFU has drastically reduced after both interventions, which is validated by statistical significance. However, it was observed participants using disinfectant wipes as intervention had 2.07 times higher chance of having a low bacterial load which wasn't statistically significant. Conclusion Our study shows that with the use of any intervention from the above-mentioned interventions, bacterial load or bacterial contamination can be reduced significantly, thus pointing out that both ultraviolet radiation and disinfectant wipes are effective in reducing contamination of mobile phones. It was also found that male doctors have more bacterial load than females, which can be minimized by effectively changing behavioral habits.

Preventability of Hospital Deaths in Patients with Non-Ventilator Hospital-Acquired Pneumonia.

BACKGROUND: Crude and adjusted mortality rates for patients with non-ventilator hospital-acquired pneumonia (NV-HAP) are amongst the highest of all healthcare-associated infections, leading to calls for greater prevention. Patients prone to NV-HAP, however, tend to be severely ill at baseline making it unclear whether their high mortality rates are due to NV-HAP, underlying conditions, or both. METHODS: Two infectious disease physicians conducted detailed medical record reviews on 150 randomly selected adults from 4 hospitals who died in-hospital following an NV-HAP event between April 2016 and May 2021. Reviewers abstracted risk factors, estimated the preventability of NV-HAP, identified causes of death, and adjudicated the preventability of death. RESULTS: Patients' median age was 69.3 (IQR 60.7-77.4) and 43.3% were female. Comorbidities were common: 57% had cancer, 30% chronic kidney disease, 29% chronic lung disease, and 27% heart failure. At least one hospice-eligible condition was present before NV-HAP in 54% and "Do Not Resuscitate" orders in 24%. Most (99%) had difficult-to-modify NV-HAP risk factors: 76% altered mental status, 35% dysphagia, and 27% nasogastric/orogastric tubes. NV-HAP was deemed possibly or probably preventable in 21% and hospital death likely or very likely preventable in 8.6%. CONCLUSIONS: Most patients who die following NV-HAP have multiple, severe underlying comorbidities and difficult-to-modify risk factors for NV-HAP. Only 1 in 5 NV-HAPs that culminated in death and 1 in 12 deaths following NV-HAP were judged potentially preventable. This does not diminish the importance of NV-HAP prevention programs but informs expectations about the potential magnitude of their impact on hospital deaths.

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

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

Hospital- and Ventilator-associated Pneumonia early after Lung Transplantation: a prospective Study on Incidence, Pathogen Origin and Outcome.

BACKGROUND: Hospital- (HAP) and ventilator-associated pneumonia (VAP) are important complications early (<30 days) after lung transplantation (LT). However, current incidence, associated factors and outcomes are not well reported. METHODS: LT recipients transplanted at our institution (07/2019-01/2020 and 10/2021-11/2022) were prospectively included. We assessed incidence and presentation of pneumonia and evaluated the impact of associated factors using regression models. In addition, we evaluated molecular relatedness of respiratory pathogens collected peri-transplant and at pneumonia occurrence using pulsed-field-gel-electrophoresis (PFGE). RESULTS: In the first 30 days post-LT, 25/270 (9.3%) recipients were diagnosed with pneumonia (68% [17/25] VAP; 32% [8/25] HAP). Median time to pneumonia was 11 days (IQR 7-13). 49% (132/270) of donor and 16% (44/270) of recipient respiratory peri-transplant cultures were positive. However, pathogens associated with pneumonia were not genetically related to either donor or recipient cultures at transplant, as determined by PFGE.Diagnosed pulmonary hypertension (HR 4.42, 95% CI 1.62-12.08) and immunosuppression use (HR 2.87, 95% CI 1.30-6.56) were pre-transplant factors associated with pneumonia.Pneumonia occurrence was associated with longer hospital stay (HR 5.44, 95% CI 2.22-13.37) and VAP with longer ICU stay (HR 4.31, 95% CI: 1.73-10.75) within the first 30 days post-transplant; 30- and 90-day mortality were similar. CONCLUSIONS: Prospectively assessed early pneumonia incidence occurred in around 10% of LT. Populations at increased risk for pneumonia occurrence include LT with pre-transplant pulmonary hypertension and pre-transplant immunosuppression. Pneumonia was associated with increased healthcare use, highlighting the need for further improvements by preferentially targeting higher-risk patients.

[Nosocomial pneumonia]. / Nosokomiale Pneumonie.

Nosocomial pneumonia is defined as pneumonia occurring ≥ 48 h after hospital admission in a patient without severe immunosuppression. It can occur in spontaneously breathing patients or with noninvasive ventilation (NIV) and mechanically ventilated patients. In patients with suspected ventilator-associated pneumonia (VAP) (semi)quantitative cultures of tracheobronchial aspirates or bronchoalveolar lavage fluid should be perfomed. The initial empirical antimicrobial treatment is determined by the risk for multidrug-resistant pathogens (MDRP). The advantage of combination treatment increases with the prevalence of MDRPs. The antibiotic treatment should be adapted when the microbiological results are available. After 72 h a standardized re-evaluation including the response to treatment and also checking of the suspected diagnosis of pneumonia in a structured form is mandatory. Treatment failure can occur as a primary or secondary failure and in the case of primary progression necessitates another comprehensive diagnostic work-up before any further antibiotic treatment.

Understanding bacterial diversity, infection dynamics, prevention of antibiotic resistance: an integrated study in an Algerian hospital context.

PURPOSE: Bacterial infections, particularly bacteremia, urinary tract infections (UTIs), and pus infections, remain among hospitals' most worrying medical problems. This study aimed to explore bacterial diversity, infection dynamics, and antibiotic resistance profiles of bacterial isolates. METHODS: We analyzed data from 1750 outpatients and 920 inpatients, of whom 1.6% and 8.47% respectively had various bacterial infections. RESULTS: The analysis revealed that UTIs were the most prevalent at 41.01%, particularly affecting women. UTIs also showed a distinct distribution across admission departments, notably in emergency (23.07%) and pediatric (14.10%) units. The most frequently isolated microorganisms were Escherichia coli (E. coli), followed by Klebsiella ornithinolytica. Skin infections followed UTIs, accounting for 35.88% of cases, more prevalent in men, with Staphylococcus aureus (S. aureus) being the primary pathogen (57%). Gram-negative bacteria (GNB) like E. coli and Pseudomonas aeruginosa contributed significantly to skin infections (43%). Bacteremia cases constituted 11.52% of bacterial infections, predominantly affecting women (67%) and linked to GNB (78%). A comparative study of antibiotic susceptibility profiles revealed more pronounced resistance in GNB strains isolated from inpatients, particularly to antibiotics such as Amoxicillin/clavulanic acid, Tetracyclin, Gentamicin, Chloramphenicol, and Ampicillin. In contrast, strains from ambulatory patients showed greater resistance to Colistin. Gram-positive bacteria from hospitalized patients showed higher resistance to quinolones and cephalosporins, while ambulatory strains showed high resistance to aminoglycosides, macrolides, fluoroquinolones, and penicillin. Furthermore, these analyses identified the most effective antibiotics for the empirical treatment of both community-acquired and nosocomial infections. Ciprofloxacin, aztreonam, and amikacin exhibited low resistance rates among GNB, with gentamicin and chloramphenicol being particularly effective for community-acquired strains. For S. aureus, ciprofloxacin, rifampicin, and cefoxitin were especially effective, with vancomycin showing high efficacy against community-acquired isolates and fosfomycin and chloramphenicol being effective for hospital-acquired strains. CONCLUSION: These results are essential for guiding antibiotic therapy and improving clinical outcomes, thus contributing to precision medicine and antimicrobial stewardship efforts.

Association of Staphylococcus aureus Bacterial Load and Colonization Sites With the Risk of Postoperative S. aureus Infection.

Background: The independent effects of extranasal-only carriage, carriage at multiple bodily sites, or the bacterial load of colonizing Staphylococcus aureus (SA) on the risk of developing SA surgical site infections and postoperative bloodstream infections (SA SSI/BSIs) are unclear. We aimed to quantify these effects in this large prospective cohort study. Methods: Surgical patients aged 18 years or older were screened for SA carriage in the nose, throat, or perineum within 30 days before surgery. SA carriers and noncarriers were enrolled in a prospective cohort study in a 2:1 ratio. Weighted multivariable Cox proportional hazard models were used to assess the independent associations between different measures of SA carriage and occurrence of SA SSI/BSI within 90 days after surgery. Results: We enrolled 5004 patients in the study cohort; 3369 (67.3%) were SA carriers. 100 SA SSI/BSI events occurred during follow-up, and 86 (86%) of these events occurred in SA carriers. The number of colonized bodily sites (adjusted hazard ratio [aHR], 3.5-8.5) and an increasing SA bacterial load in the nose (aHR, 1.8-3.4) were associated with increased SA SSI/BSI risk. However, extranasal-only carriage was not independently associated with SA SSI/BSI (aHR, 1.5; 95% CI, 0.9-2.5). Conclusions: Nasal SA carriage was associated with an increased risk of SA SSI/BSI and accounted for the majority of SA infections. Higher bacterial load, as well as SA colonization at multiple bodily sites, further increased this risk.

A new model of endotracheal tube biofilm identifies combinations of matrix-degrading enzymes and antimicrobials able to eradicate biofilms of pathogens that cause ventilator-associated pneumonia.

Ventilator-associated pneumonia is defined as pneumonia that develops in a patient who has been on mechanical ventilation for more than 48 hours through an endotracheal tube. It is caused by biofilm formation on the indwelling tube, which introduces pathogenic microbes such as Pseudomonas aeruginosa, Klebsiella pneumoniae and Candida albicans into the patient's lower airways. Currently, there is a lack of accurate in vitro models of ventilator-associated pneumonia development. This greatly limits our understanding of how the in-host environment alters pathogen physiology and the efficacy of ventilator-associated pneumonia prevention or treatment strategies. Here, we showcase a reproducible model that simulates the biofilm formation of these pathogens in a host-mimicking environment and demonstrate that the biofilm matrix produced differs from that observed in standard laboratory growth medium. In our model, pathogens are grown on endotracheal tube segments in the presence of a novel synthetic ventilated airway mucus medium that simulates the in-host environment. Matrix-degrading enzymes and cryo-scanning electron microscopy were employed to characterize the system in terms of biofilm matrix composition and structure, as compared to standard laboratory growth medium. As seen in patients, the biofilms of ventilator-associated pneumonia pathogens in our model either required very high concentrations of antimicrobials for eradication or could not be eradicated. However, combining matrix-degrading enzymes with antimicrobials greatly improved the biofilm eradication of all pathogens. Our in vitro endotracheal tube model informs on fundamental microbiology in the ventilator-associated pneumonia context and has broad applicability as a screening platform for antibiofilm measures including the use of matrix-degrading enzymes as antimicrobial adjuvants.

Current and novel therapies for management of Acinetobacter baumannii-associated pneumonia.

Acinetobacter baumannii is a common pathogen associated with hospital-acquired pneumonia showing increased resistance to carbapenem and colistin antibiotics nowadays. Infections with A. baumannii cause high patient fatalities due to their capability to evade current antimicrobial therapies, emphasizing the urgency of developing viable therapeutics to treat A. baumannii-associated pneumonia. In this review, we explore current and novel therapeutic options for overcoming therapeutic failure when dealing with A. baumannii-associated pneumonia. Among them, antibiotic combination therapy administering several drugs simultaneously or alternately, is one promising approach for optimizing therapeutic success. However, it has been associated with inconsistent and inconclusive therapeutic outcomes across different studies. Therefore, it is critical to undertake additional clinical trials to ascertain the clinical effectiveness of different antibiotic combinations. We also discuss the prospective roles of novel antimicrobial therapies including antimicrobial peptides, bacteriophage-based therapy, repurposed drugs, naturally-occurring compounds, nanoparticle-based therapy, anti-virulence strategies, immunotherapy, photodynamic and sonodynamic therapy, for utilizing them as additional alternative therapy while tackling A. baumannii-associated pneumonia. Importantly, these innovative therapies further require pharmacokinetic and pharmacodynamic evaluation for safety, stability, immunogenicity, toxicity, and tolerability before they can be clinically approved as an alternative rescue therapy for A. baumannii-associated pulmonary infections.

Admission screening testing of patients and staff N95 masks are cost-effective in reducing COVID-19 hospital acquired infections.

BACKGROUND: COVID-19 outbreaks in acute care settings can have severe consequences for patients due to their underlying vulnerabilities, and can be costly due to additional patient bed days and the need to replace isolating staff. This study assessed the cost-effectiveness of clinical staff N95 masks and admission screening testing of patients to reduce COVID-19 hospital-acquired infections. METHODS: An agent-based model was calibrated to data on 178 outbreaks in acute care settings in Victoria, Australia between October 2021 and July 2023. Outbreaks were simulated under different combinations of staff masking (surgical, N95) and patient admission screening testing (none, RAT, PCR). For each scenario, average diagnoses, COVID-19 deaths, quality-adjusted life years (QALYs) from discharged patients, and costs (masks, testing, patient COVID-19 bed days, staff replacement costs while isolating) from acute COVID-19 were estimated over a 12-month period. FINDINGS: Compared to no admission screening testing and staff surgical masks, all scenarios were cost saving with health gains. Staff N95s + RAT admission screening of patients was the cheapest, saving A$78.4M [95%UI 44.4M-135.3M] and preventing 1,543 [1,070-2,146] deaths state-wide per annum. Both interventions were individually beneficial: staff N95s in isolation saved A$54.7M and 854 deaths state-wide per annum, while RAT admission screening of patients in isolation saved A$57.6M and 1,176 deaths state-wide per annum. INTERPRETATION: In acute care settings, staff N95 mask use and admission screening testing of patients can reduce hospital-acquired COVID-19 infections, COVID-19 deaths, and are cost-saving because of reduced patient bed days and staff replacement needs.

Characteristics and Factors Associated With Nonoperative Management and Hospital Outcomes After Hip Fractures Among Community-Dwelling Older Adults: Retrospective Analysis.

Nonoperative treatment is used at varying rates among older adults with hip fractures despite the high mortality. This retrospective analysis of 7803 patients 65 and older admitted with hip fractures is to estimate the odds of nonoperative treatment and in-hospital mortality after hip fractures among community-dwelling older adults. 13.6% underwent nonoperative treatment. Compared to the group with operative treatment, the nonoperative group had a higher in-hospital mortality rate (6.51% vs. 1.32%, p < .0001). Male sex, nondisplaced fracture, and comorbidities of acute myocardial infarction, congestive heart failure, cerebrovascular disorder, dementia, and liver disease were associated with an increased likelihood of nonoperative treatment. Nonoperative treatment, advanced age, use of osteoporosis pharmacotherapy, multiple medical comorbidities, and hospital-acquired complications were associated with increased in-hospital mortality. Specific characteristics were associated with nonoperative management and in-hospital mortality among older adults with hip fractures. Additional research is necessary to improve the care of this vulnerable population.

COVID-19 infections among health care workers at a university hospital in Jeddah, Saudi Arabia.

BACKGROUND: The objective of this study was to describe the prevalence, characteristics, and risk factors of coronavirus disease-2019 (COVID-19) infection among health care workers (HCWs) at King Abdulaziz University Hospital, Jeddah, Saudi Arabia. METHODS: A prospective cross-sectional study of HCWs confirmed to have COVID-19 infection from March 1, 2020 to December 31, 2022. RESULTS: A total of 746 HCWs were diagnosed with COVID-19. Patients' age ranged from 22 to 60 years with a mean ± standard deviation of 37.4 ± 8.7 years. The infection was community-acquired in 584 (78.3%) HCWs. The vast majority (82.6%) of the infected HCWs had no comorbidities. Nurses (400/746 or 53.6%) represented the largest professional group, followed by physicians (128/746 or 17.2%), administrative staff (125/746 or 16.8%), respiratory therapists (54/746 or 7.2%), and physiotherapists (39/746 or 5.2%). Symptoms included fever (64.1%), cough (55.6%), sore throat (44.6%), headache (22.9%), runny nose (19.6%), shortness of breath (19.0%), fatigue (12.7%), body aches (11.4%), diarrhea (10.9%), vomiting (4.4%), and abdominal pain (2.8%). Most (647 or 86.7%) patients were managed as outpatients. Four (0.5%) HCWs died. CONCLUSIONS: HCWs face a dual risk of SARS-CoV-2 infection, both from community exposure and within the hospital setting. Comprehensive infection control strategies are needed to protect HCWs both inside and outside the hospital environment.

Risk assessment and prediction of nosocomial infections based on surveillance data using machine learning methods.

BACKGROUND: Nosocomial infections with heavy disease burden are becoming a major threat to the health care system around the world. Through long-term, systematic, continuous data collection and analysis, Nosocomial infection surveillance (NIS) systems are constructed in each hospital; while these data are only used as real-time surveillance but fail to realize the prediction and early warning function. Study is to screen effective predictors from the routine NIS data, through integrating the multiple risk factors and Machine learning (ML) methods, and eventually realize the trend prediction and risk threshold of Incidence of Nosocomial infection (INI). METHODS: We selected two representative hospitals in southern and northern China, and collected NIS data from 2014 to 2021. Thirty-nine factors including hospital operation volume, nosocomial infection, antibacterial drug use and outdoor temperature data, etc. Five ML methods were used to fit the INI prediction model respectively, and to evaluate and compare their performance. RESULTS: Compared with other models, Random Forest showed the best performance (5-fold AUC = 0.983) in both hospitals, followed by Support Vector Machine. Among all the factors, 12 indicators were significantly different between high-risk and low-risk groups for INI (P < 0.05). After screening the effective predictors through importance analysis, prediction model of the time trend was successfully constructed (R2 = 0.473 and 0.780, BIC = -1.537 and -0.731). CONCLUSIONS: The number of surgeries, antibiotics use density, critical disease rate and unreasonable prescription rate and other key indicators could be fitted to be the threshold predictions of INI and quantitative early warning.

Water-free patient care: a narrative review of the literature and discussion of the pressing need for a way forward.

BACKGROUND: Florence Nightingale was the first person to recognize the link between the built environment and patient ill-health. More than 160 years later, the threat of the end of the antibiotic era looms large. The antimicrobial resistance action plan focuses on antimicrobial stewardship and developing new therapeutic agents. The risk from the built environment has been ignored, with wastewater systems identified as major sources of antimicrobial resistance within healthcare facilities. England is undertaking the largest healthcare construction programme globally. These facilities will be operating when antimicrobial resistance is predicted to be at its fiercest. Water-free patient care is a strategy for limiting dispersal of antimicrobial resistance, and preventing patient infections that need further evaluation in new hospitals. METHODS: A narrative review was undertaken using the terms: waterless/water-free units; waterless/water-free care; sink reduction; sink removal; and washing without water. PubMed, Cochrane Database of Systematic Reviews, and Database of Abstracts of Reviews of Effects were searched from January 2000 to February 2024 for reviews and original articles. Unit type, geographical location, reasons for a waterless/water-free approach, and outcomes were recorded. FINDINGS: Seven papers were identified. Four involved adult intensive care units (ICUs), one involved a care of the elderly setting, and two involved neonatal ICUs. In five papers, the aim of intervention was to reduce Gram-negative infections/colonizations. One paper was a systematic review of 'washing without water' which reviewed cost-effectiveness and patient experience. All of the five papers focusing on Gram-negative bacilli reported a reduction in infections or colonizations post intervention. CONCLUSION: More studies are highlighting the risks from water and wastewater to patient safety, and the value of water-free strategies in reducing infection rates.

Oral condition at admission predicts functional outcomes and hospital-acquired pneumonia development among acute ischemic stroke patients.

INTRODUCTION: Oral care is crucial for the prevention of cardiovascular events and pneumonia. However, few studies have evaluated the associations between multidimensional assessments of oral status or functional outcomes and hospital-acquired pneumonia (HAP). METHODS: Consecutive patients with acute ischemic stroke (AIS) were retrospectively analyzed. We evaluated the modified oral assessment grade (mOAG) and investigated its association with a modified Rankin scale (mRS) score of 0‒2 (good stroke outcome) and HAP. The mOAG was developed to evaluate 8 categories (lip, tongue, coated tongue, saliva, mucosa, gingiva, preservation, and gargling) on a 4-point scale ranging from 0 to 3. We analyzed the effectiveness of the mOAG score for predicting stroke outcome or HAP using receiver operating characteristic (ROC) curve analysis. RESULTS: In total, 247 patients with AIS were analyzed. The area under the ROC curve of the mOAG for predicting poor outcomes was 0.821 (cutoff value: 7), and that for HAP incidence was 0.783 (cutoff value: 8). mOAG (a one-point increase) was associated with poor stroke outcome (odds ratio [OR] 1.31, 95% confidence interval [CI] 1.17‒1.48, P < 0.001) and HAP (OR 1.21, 95% CI 1.07‒1.38, P = 0.003) after adjusting for baseline clinical characteristics, including age and stroke severity. CONCLUSIONS: Lower mOAG scores at admission were independently associated with good outcomes and a decreased incidence of HAP. Comprehensive oral assessments are essential for acute stroke patients in clinical settings.

Antibacterial Activity of Brass against Antibiotic-Resistant Bacteria following Repeated Exposure to Hydrogen Peroxide/Peracetic Acid and Quaternary Ammonium Compounds.

Copper-containing materials are attracting attention as self-disinfecting surfaces, suitable for helping healthcare settings in reducing healthcare-associated infections. However, the impact of repeated exposure to disinfectants frequently used in biocleaning protocols on their antibacterial activity remains insufficiently characterized. This study aimed at evaluating the antibacterial efficiency of copper (positive control), a brass alloy (AB+®) and stainless steel (negative control) after repeated exposure to a quaternary ammonium compound and/or a mix of peracetic acid/hydrogen peroxide routinely used in healthcare settings. A panel of six antibiotic-resistant strains (clinical isolates) was selected for this assessment. After a short (5 min) exposure time, the copper and brass materials retained significantly better antibacterial efficiencies than stainless steel, regardless of the bacterial strain or disinfectant treatment considered. Moreover, post treatment with both disinfectant products, copper-containing materials still reached similar levels of antibacterial efficiency to those obtained before treatment. Antibiotic resistance mechanisms such as efflux pump overexpression did not impair the antibacterial efficiency of copper-containing materials, nor did the presence of one or several genes related to copper homeostasis/resistance. In light of these results, surfaces made out of copper and brass remain interesting tools in the fight against the dissemination of antibiotic-resistant strains that might cause healthcare-associated infections.