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.
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.
CONCLUSIONS: 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.

OBJECTIVE: 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.
CONCLUSIONS: These results are essential for guiding antibiotic therapy and improving clinical outcomes, thus contributing to precision medicine and antimicrobial stewardship efforts.

Background This study aimed to reduce hospital-acquired infections (HAIs) by at least 50% in our unit through a nursing education program to sensitize the nursing staff toward infection control in neonates. Methodology This pre- and post-intervention observational study was conducted in Liaquat National Hospital\'s Neonatal Intensive Care Unit (NICU) from October 2021 until March 2023. This observational study was conducted in three phases. In phase I (pre-implementation), all neonates with suspected HAIs were included. In phase II (implementation), the nursing staff dedicated to the NICU were trained. In phase III (post-implementation), all neonates with suspected HAIs were included. Culture-proven bloodstream infections (BSIs), urinary tract infections (UTIs), and ventilator-associated pneumonia (VAP) were the three types of HAIs. The nursing scoring was done by the principal investigator based on a questionnaire. The Shapiro-Wilk test was used to evaluate the normality of all quantitative data across all phases. Results In the pre-implementation phase, there were 24 (10.8%) HAIs, among which 19 (8.6%) were BSIs, one (0.5%) was a catheter-associated urinary tract infection (CAUTI), and seven (3.2%) were VAP. Whereas in the post-implementation phase, there were 12 (5%) HAIs, among which 10 (4.1%) were BSIs, none were CAUTIs, and five (2.1%) were VAP. There was a significant reduction of HAIs in the post-implementation phase (p < 0.01). The difference in the knowledge, assessment, and practice was statistically significant in the post-implementation phase (p < 0.01). Conclusions We established a successful cost-effective intervention to improve the awareness and compliance of NICU nurses with infection control practices. This helped us in reducing HAIs in our NICU.

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.
RESULTS: 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.
CONCLUSIONS: 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.

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.

BACKGROUND: The global burden associated with antimicrobial resistance is of increasing concern.
OBJECTIVE: To evaluate risk factors associated with multidrug-resistant (MDR) infection and its clinical impact in a cohort of patients with healthcare-associated bacteraemic urinary tract infections (BUTIs).
METHODS: This was a prospective, multicentre, post-hoc analysis of patients with healthcare-associated-BUTI (ITUBRAS-2). The primary outcome was MDR profile. Secondary outcomes were clinical response (at 48-72 h and at hospital discharge) and length of hospital stay from onset of BUTI. Logistic regression was used to evaluate variables associated with MDR profile and clinical response. Length of hospital stay was evaluated using multivariate median regression.
RESULTS: In all, 443 episodes were included, of which 271 (61.17%) were classified as expressing an MDR profile. In univariate analysis, MDR profile was associated with E. coli episodes (odds ratio (OR): 3.13; 95% confidence interval (CI): 2.11-4.69, P < 0.001) and the extensively drug-resistant (XDR) pattern with P. aeruginosa aetiology (7.84; 2.37-25.95; P = 0.001). MDR was independently associated with prior use of fluoroquinolones (adjusted OR: 2.43; 95% CI: 1.25-4.69), cephalosporins (2.14; 1.35-3.41), and imipenem or meropenem (2.08; 1.03-4.20) but not with prior ertapenem. In terms of outcomes, MDR profile was not associated with lower frequency of clinical cure, but was associated with longer hospital stay.
CONCLUSIONS: MDR profile was independently associated with prior use of fluoroquinolones, cephalosporins, imipenem, and meropenem, but not with prior ertapenem. MDR-BUTI episodes were not associated with worse clinical cure, although they were independently associated with longer duration of hospital stay.

Prolonged hospital stays can significantly impede patients\' recovery, negatively affecting anything from physical health via issues like hospital-acquired infections and increased complications due to immobility to psychological health. Several studies investigated the psychosocial impact of prolonged hospital stays, revealing a variety of patient perspectives, such as feeling uncertain and frustrated about their conditions, which can erode their trust in healthcare providers. Delayed discharges not only affect patients but also have multifaceted effects on healthcare providers, potentially reducing physician efficiency and contributing to higher rates of burnout among healthcare professionals. This article investigates the consequences of delayed versus early discharge on physicians, patients, and the overall hospital system. We conducted an extensive search through PubMed and Google Scholar using the keywords \"delayed discharge,\" \"hospital discharge,\" and \"bed blocking\" to identify all the recent studies highlighting the dynamics of patient discharge. Our results support the hypothesis that reducing delayed discharge rates will not only improve patient outcomes but also have widespread fiscal impacts. This review also outlines measures to reduce delayed discharges, ultimately leading to a significant enhancement in the healthcare system.

Klebsiella pneumoniae strains that are resistant to multiple drugs (KPMDRs), which are often acquired in hospital settings and lead to healthcare-associated infections, pose a serious public health threat, as does hypervirulent K. pneumoniae (hvKp), which can also cause serious infections in otherwise healthy individuals. The widespread and often unnecessary use of antibiotics seen during the recent COVID-19 pandemic has exacerbated the challenges posed by antibiotic resistance in clinical settings. There is growing concern that hypervirulent (hvKp) strains may acquire genes that confer antimicrobial resistance, thus combining an MDR profile with their increased ability to spread to multiple body sites, causing difficult-to-treat infections. This study aimed to compare resistance and virulence profiles in KPC-3-producing K. pneumoniae isolates collected over four years (2020-2023). A genome-based surveillance of all MDR CRE-K. pneumoniae was used to identify genetic differences and to characterize the virulence and resistance profiles. Our results provide a picture of the evolution of resistance and virulence genes and contribute to avoiding the possible spread of isolates with characteristics of multi-drug resistance and increased virulence, which are thought to be one of the main global challenges to public health, within our hospital.

BACKGROUND: The incidence of hospital-acquired infections in extensively drug-resistant Pseudomonas aeruginosa (XDR-PA) has been increasing worldwide and is frequently associated with an increase in mortality and morbidity rates. The aim of this study was to characterize clinical XDR-PA isolates recovered during six months at three different hospitals in Egypt.
RESULTS: Seventy hospital-acquired clinical isolates of P. aeruginosa were classified into multidrug-resistant (MDR), extensively drug-resistant (XDR) and pandrug-resistant (PDR), according to their antimicrobial resistance profile. In addition, the possession of genes associated with mobile genetic elements and genes encoding antimicrobial resistance determinants among isolates were detected using polymerase chain reaction. As a result, a significant percentage of the isolates (75.7%) were XDR, while 18.5% were MDR, however only 5.7% of the isolates were non-MDR. The phenotypic detection of carbapenemases, extended-spectrum β-lactamases (ESBLs) and metallo β-lactamase (MBL) enzymes showed that 73.6% of XDR-PA isolates were carbapenemases producers, whereas 75.5% and 88.7% of XDR-PA isolates produced ESBLs and MBL respectively. In addition, PCR screening showed that oxa gene was the most frequently detected gene of carbapenemases (91.4%), while aac(6\')-lb gene was mostly detected (84.3%) among the screened aminoglycosides-resistance genes. Furthermore, the molecular detection of the colistin resistance gene showed that 12.9% of isolates harbored mcr-1 gene. Concerning mobile genetic element markers (intI, traA, tnp513, and merA), intI was the highest detected gene as it was amplified in 67 isolates (95.7%). Finally, phylogenetic and molecular typing of the isolates via ERIC-PCR analysis revealed 10 different ERIC fingerprints.
CONCLUSIONS: The present study revealed a high prevalence of XDR-PA in hospital settings which were resistant to a variety of antibiotics due to several mechanisms. In addition, 98% of the XDR-PA clinical isolates contained at least one gene associated with movable genetic elements, which could have aided the evolution of these XDR-PA strains. To reduce spread of drug resistance, judicious use of antimicrobial agents and strict infection control measures are therefore essential.

BACKGROUND: COVID-19 clinical course is highly variable and secondary infections contribute to COVID-19 complexity. Early detection of secondary infections is clinically relevant for patient outcome. Procalcitonin (PCT) and C-reactive protein (CRP) are the most used biomarkers of infections. Pentraxin 3 (PTX3) is an acute phase protein with promising performance as early biomarker in infections. In patients with COVID-19, PTX3 plasma concentrations at hospital admission are independent predictor of poor outcome. In this study, we assessed whether PTX3 contributes to early identification of co-infections during the course of COVID-19.
METHODS: We analyzed PTX3 levels in patients affected by COVID-19 with (n = 101) or without (n = 179) community or hospital-acquired fungal or bacterial secondary infections (CAIs or HAIs).
RESULTS: PTX3 plasma concentrations at diagnosis of CAI or HAI were significantly higher than those in patients without secondary infections. Compared to PCT and CRP, the increase of PTX3 plasma levels was associated with the highest hazard ratio for CAIs and HAIs (aHR 11.68 and 24.90). In multivariable Cox regression analysis, PTX3 was also the most significant predictor of 28-days mortality or intensive care unit admission of patients with potential co-infections, faring more pronounced than CRP and PCT.
CONCLUSIONS: PTX3 is a promising predictive biomarker for early identification and risk stratification of patients with COVID-19 and co-infections.
BACKGROUND: Dolce & Gabbana fashion house donation; Ministero della Salute for COVID-19; EU funding within the MUR PNRR Extended Partnership initiative on Emerging Infectious Diseases (Project no. PE00000007, INF-ACT) and MUR PNRR Italian network of excellence for advanced diagnosis (Project no. PNC-E3-2022-23683266 PNC-HLS-DA); EU MSCA (project CORVOS 860044).