Journal of Hospital Infection

The incidence of vancomycin-resistant Enterococcus (VRE) is rising in hospitals in Canada, and resistance to last-resort antimicrobials including linezolid complicates treatment options for multidrug-resistant isolates. Recent reports from around the globe indicate that both linezolid and vancomycin resistance genes can be co-carried and mobilized by linear plasmids (named pELF) in Enterococcus species, often on the same backbone. We aimed to investigate linezolid resistance and linear plasmid prevalence in VRE bloodstream infection isolates collected by the Canadian Nosocomial Infection Surveillance Program from 2009 to 2024. We found that screening for pELF linear plasmid ends in short reads was a reliable way to predict linear plasmid presence in large-scale surveillance data (100 % accuracy on 85 reference samples). Almost half of the isolates in our collection were predicted to carry pELF plasmids (45.4 %, 941/2071) and we found that this proportion has increased from 2018 (32.2 %, 59/183) to 72 % of isolates between 2021 and 2024 (2021: 68.5 % (115/168); 2022: 71.6 % (146/204); 2023: 72.8 % (166/228); 2024: 71.6 % (235/328)). This trend of increasing linear plasmid carriage is evident from 2018 to 2024 across the dominant emerging sequence types (ST80, ST17, ST117). Linezolid resistance based on phenotypic antimicrobial susceptibility testing was low (1.0 %, 21/2071). Using long read sequencing, we characterized the linezolid resistant isolates and confirmed pELF plasmid presence in 13/21 (61.9 %) isolates. Six isolates harboured pELF plasmids encoding linezolid resistance genes (optrA, cfr(D), poxtA) and five of these also encoded vancomycin resistance genes (vanA). We compared these six plasmids to 39 public plasmid sequences and clustered them using MOB-suite and pling. Overall, this study provides further examples of the co-carriage of vancomycin and linezolid resistance genes on mobile linear plasmids and shows that linear plasmid prevalence is detectable and increasing across VRE in Canada. IMPACT STATEMENTGiven the increasing prevalence of multidrug-resistant hospital-acquired pathogens, resistance to last-resort antibiotics is a global public health threat. Linezolid is a last-resort antibiotic used to treat vancomycin-resistant Enterococcus isolates, and the dissemination of linezolid resistance genes is significantly facilitated by mobile elements that can transfer between unrelated strains and species. Linezolid resistance genes have recently been described on linear plasmids and are often co-localized with other resistance genes on the same plasmid backbone. Consequently, understanding the features and distribution of linear plasmids and those harbouring linezolid resistance genes is crucial for pathogen surveillance and mitigation of resistance. In this work, we used long-read and short-read sequencing to characterize genomic epidemiology of linear plasmids across 16 years of Enterococcus surveillance data in Canada. This study furthers knowledge of linear plasmids by demonstrating that they are relatively common across vancomycin-resistant Enterococcus blood isolates and by providing more examples of co-localized vancomycin and linezolid resistance genes on the same linear plasmid backbone. DATA SUMMARYSequencing data and genome sequences were deposited in National Centre for Biotechnology BioProject PRJNA1279082, and accessions are listed in Table S1. Supplementary materials for this study are available at the Figshare portal through DOI: XXX.

Background The COVID-19 pandemic has caused significant global mortality. Despite declining infection rates, new variants of SARS-CoV-2 continue to emerge, necessitating new prevention strategies. Objective This study aimed to evaluate the effect of four over-the-counter (OTC) antiseptic mouthwash/gargling solutions in the U.S., compared with a distilled water control, on SARS-CoV-2 viral load across multiple oral and oropharyngeal sample types. Methods This pilot single-center randomized controlled clinical trial enrolled adults in the San Francisco Bay Area, California, who tested positive for COVID-19. Participants were randomized to distilled water, chlorine dioxide, hydrogen peroxide, cetylpyridinium chloride, and essential oils. Participants were instructed to rinse and gargle four times daily for four weeks using standardized instructions to ensure protocol adherence. Samples were collected on Days 1, 7, and 28 and analyzed using reverse transcription-quantitative polymerase chain reaction (RT-qPCR). The primary outcome was the change in SARS-CoV-2 viral load from baseline to Day 28, assessed using cycle threshold (Ct) values. Secondary outcomes included self-reported clinical symptoms and hospitalization. Results Forty-nine participants completed the study. No mouthwash demonstrated a statistically significant reduction in SARS-CoV-2 viral load over time. Cetylpyridinium chloride showed a transient increase in Ct values on Day 7 that was not sustained on Day 28. At baseline, throat swab samples had the lowest Ct values across all sample types. Due to limited subgroup sample sizes for secondary outcome measures, no statistical or moderator analyses were conducted. Conclusion Further large-scale randomized trials are needed before recommending antiseptic mouthwashes for SARS-CoV-2 prevention or management.

Background: The choice of hand-drying method affects microbial contamination levels but its economic consequences have not been systematically quantified. Methods: By applying a quantitative microbial risk assessment framework, we translated the documented contamination differential between jet air dryers and paper towels into infection risk estimates, and embedded these into an established health economic model of healthcare-associated infections in NHS hospitals and an illustrative productivity analysis for the EU workforce. Results: The median estimated avoidable HCAI cost attributable to jet air dryer presence in UK NHS clinical areas was 58 million pounds per year, representing 2.1% of total HCAI expenditure for the affected hospital population, with a 50% certainty interval of 33-84 million pounds. Extended to the EU workforce, the same contamination differential implied a median of 1.7 billion euros in annual productivity gains, due to reduced absenteeism, for a shift to use of paper towels in public restrooms. Conclusions: These findings suggest that hand-drying method selection carries measurable economic implications that are not currently reflected in facility management practice. The evidence supports the prioritisation of paper towels in clinical and public settings as a cost-effective infection control measure

Background: Particulate matter (PM) exposure is associated with increased risk and exacerbation of chronic rhinosinusitis (CRS), yet underlying mechanisms remain poorly understood. Methods: Human nasal epithelial cells obtained from ethmoid tissue of CRS (n = 5) and control donors (n = 4) were cultured at an air-liquid interface and exposed to PM. Single-cell RNA sequencing was performed to characterize PM-induced cellular and transcriptional changes. Protein expression, epithelial barrier integrity, cell death, and intracellular PM uptake were evaluated using biochemical, imaging, and ultrastructural approaches. Results: Unsupervised clustering identified seven epithelial cell populations. Gene set analysis revealed baseline enrichment of inflammatory and keratinization pathways and reduced ciliogenesis in CRS compared with controls. Although PM induced inflammation and squamous differentiation in controls, the pathogenic responses were significantly amplified in CRS, including uniquely enhanced IL-1 signaling. Transcriptional changes were validated by ELISA, transepithelial electrical resistance, and immunofluorescence, demonstrating increased inflammation, epithelial barrier disruption, and cell death following PM exposure. Transmission electron microscopy revealed increased intracellular PM within membrane-bound organelles. Pre-treatment with an endocytosis inhibitor rescued PM-induced epithelial barrier dysfunction and inflammation. Conclusion: CRS epithelium exhibits baseline dysfunction that may predispose it to environmental injury. PM exposure both induces CRS-like epithelial changes in controls and exacerbates disease-associated phenotypes.

BackgroundPhage therapy is increasingly considered a promising alternative for treating multidrug-resistant (MDR) infections. However, its clinical application remains limited by challenges in isolating effective phages against resistant clinical strains and by the limited ability of in vitro assays to predict performance in real biological environments. While biological matrices are known to influence phage activity, these effects are not well characterised. MethodsA phage-resistant Pseudomonas aeruginosa isolate from a patient with recurrent MDR urinary tract infection was used as the model organism. Conventional isolation methods failed to recover effective phages, leading to the development of TEASER-i (Transient EDTA- and Ion-Assisted Sequential Enrichment & Recovery). Recovered phages were characterised using adsorption assays, one-step growth kinetics, and time-kill experiments. Their antibacterial activity was evaluated both in vitro and in ex vivo human matrices (whole blood, serum, plasma, and urine). Phage efficacy was quantified using maximum log reduction (Emax), area under the curve (AUC), and phage-to-bacteria ratio (PBR). ResultsA novel TEASER-i method optimised for difficult-to-treat Gram-negative infections, enabled recovery of a functionally effective Osewage-derived P. aeruginosa phage, which outperformed a Ourine-derived P. aeruginosa phage that showed slower replication and lower burst size. Phage activity varied significantly in blood, serum, and plasma. Urine supported the most sustained antibacterial effect. In many cases, early bacterial reduction was followed by regrowth. Sustained activity was associated with maintenance of favourable PBR values, while negative PBR corresponded to treatment failure. At 96 h, only two conditions maintained favourable phage load (log 10 PBR > 0): the S. aureus phage in urine (+1.66) and the sewage-derived P. aeruginosa phage in serum (+1.32). ConclusionsPhage efficacy depends not only on intrinsic lytic capacity but also on the ability to persist and amplify within specific biological environments. Conventional isolation and in vitro screening may therefore overestimate therapeutic potential. Combining optimised isolation strategies with ex vivo evaluation provides a more realistic framework for phage selection and clinical translation.

Abstract Background: Pediatric respiratory infections are a leading cause of morbidity and mortality globally, representing a major health challenge in children. Research Gap: Despite extensive studies on epidemiology, clinical management, and specific pathogens, no bibliometric analysis has systematically evaluated the most influential research in this field. Objectives: This study aimed to evaluate the characteristics of the top 50 most-cited articles on pediatric respiratory infections and to identify emerging research trends. Methods: The Web of Science database was searched without publication year restrictions. Independent reviewers screened studies based on predefined inclusion and exclusion criteria. Data were extracted using a standardized form, including study details. Results: The 50 most-cited articles ranged from 34 to 384 citations and showed a right-skewed distribution with a sharp drop after the top ten. Publication years ranged from 1978 to 2021, with over half published in the 2010s. Articles appeared in 31 journals, with Pediatrics contributing five. Leading countries were the United States (18%), China (12%), and Canada (10%), with research largely concentrated in high-income regions and limited multicenter collaboration. Cohort studies dominated (66%), while randomized trials (12%) and reviews/meta-analyses (16%) were less common. Research clustered around three themes: clinical outcomes (e.g., pneumonia, bronchiolitis); viral etiology/diagnostics (e.g., RSV, SARS-CoV-2); and antimicrobial stewardship. Conclusion: Over the past decades, pediatric respiratory infection research has developed but remains unbalanced, relying heavily on observational evidence from high-income countries, with limited randomized trials, systematic reviews, multicenter collaborations, and LMIC-led studies. These findings provide insights that may direct researchers to identify potential focal points and guide future research in the field.

Background: Microbiota dysbiosis of the skin has been implicated in ulcer formation. Individuals with diabetes remain at high risk for diabetic foot ulcers (DFUs) even after ulcer healing. Topical chlorhexidine gluconate (CHG) is a broad-spectrum antiseptic commonly used to reduce microbial burden. In a prior randomized clinical trial comparing daily CHG foot treatment with soap-and-water treatment, no statistically significant reduction in new DFUs was observed, prompting evaluation of whether CHG produced durable changes in the skin microbiota. Objective: To compare changes in foot skin microbiota (including bacterial bioburden, diversity, and community composition) associated with daily CHG versus soap-and-water use over one year in people with diabetes and prior foot complications. Methods: In a single-center, double-blind, placebo-controlled randomized trial, 87 participants were randomized to daily CHG wipes or soap-and-water wipes for 12 months. Foot swabs were collected at baseline, 3 and 12 months, and 4 weeks post-treatment. Bacterial bioburden was quantified. Microbiota composition was assessed using 16S rRNA and ITS amplicon sequencing. Key Results: CHG treatment significantly reduced bacterial bioburden, increased microbial diversity, and altered community composition, including sustained reductions in Staphylococcus abundance. Several microbiota changes persisted more than 4 weeks after treatment cessation. Soap-and-water treatment showed similar but smaller and largely nonsignificant trends. Conclusions: Daily CHG use durably modifies foot skin microbiota in high-risk individuals with diabetes. However, this alone may be insufficient to prevent new foot complications, highlighting the need for additional interventions. These findings have implications for long-term CHG use in populations at risk for staphylococcal infections.

Background Antimicrobial stewardship (AMS) and infection prevention and control (IPC) are complementary strategies to improve patient safety and address antimicrobial resistance (AMR). In low- and middle-income countries (LMICs), they are often implemented separately, reducing effectiveness. Evidence on integrating AMS and IPC in routine hospital practice remains limited. Objective To evaluate the feasibility of an integrated AMS-IPC improvement approach and describe changes in implementation in Vietnamese hospitals. Methods We conducted a multisite quality improvement initiative in four hospitals within the national AMR surveillance network in Viet Nam (March-September 2025). We used US-CDC tools to guide the implementation, including the Global Antibiotic Stewardship Evaluation Tool (G-ASET) and the Infection Control Assessment and Response (ICAR) tool. Baseline assessments were followed by feedback, multidisciplinary action planning, and targeted capacity building. Follow-up occurred 2-5 months later. Changes were analysed descriptively using quantitative scores and qualitative synthesis, and reported following the SQUIRE 2.0 guidelines. Results All hospitals had established IPC programmes at baseline, while AMS maturity varied. G-ASET scores improved across all sites, with greater gains in hospitals starting from lower baselines. Key improvements included leadership and governance, education and training, stewardship actions, and monitoring and reporting. IPC practices aligned with AMS priorities also improved, particularly transmission-based precautions, environmental cleaning, and cross-team coordination. Infrastructure-dependent areas, such as water safety, showed limited short-term progress. Conclusions An integrated AMS-IPC approach using repeated assessment and feedback is feasible and associated with meaningful improvements. This model offers a scalable strategy for strengthening hospital responses to AMR in LMICs and informs national programmes.

Background: Antimicrobial resistance (AMR) is a global public health problem. Infections caused by extended-spectrum beta-lactamase (ESBL) and carbapenemase (CP) -producing Enterobacterales (E) threaten individuals and healthcare systems worldwide. Symptomatic infection caused by Enterobacterales is typically preceded by asymptomatic colonisation and often occurs in the most vulnerable individuals, thus interrupting asymptomatic transmission is desirable. The dominant transmission routes across the healthcare continuum including hospitals, intermediate care, and long-term care facilities are not well understood. Methods: Here we present a protocol describing a genomic surveillance framework developed for the Tracking Antimicrobial Resistance Across Care Settings (TRACS) Liverpool programme, which aims to identify critical ESBL-E transmission points in hospitals and care homes in Liverpool, UK. Our study integrates individual participant and healthcare facility data, validated standard operating procedures for taking and culturing stool, rectal, environmental, and staff samples, and genomic sequencing of ESBL-E, and statistical modelling approaches into a research framework for ESBL-E genomic surveillance. Discussion: There is a need for improved epidemiological and laboratory approaches to studying bacterial transmission. Drug-resistant enteric bacteria are a highly tractable marker of the movement of all enteric bacteria, and interventions designed to interrupt transmission of drug-resistant bacteria are expected to have a broader healthcare impact. This protocol provides a standardised, reproducible approach for identifying ESBL-E, tracking acquisition events, and linking clinical and environmental isolates through whole-genome sequencing.

Methicillin-resistant Staphylococcus (MRS) infections are a significant public health concern. Anterior nares serve as a major reservoir and source of spread of MRS ssp. People living with HIV (PLWHIV) tend to be at higher risk of colonisation with MRS organisms due to frequent healthcare exposure. We assessed the prevalence of MRS nasal carriage and associated factors among PLWHIV at the HIV clinic of Kiruddu National Referral Hospital, Kampala, Uganda, from May to July 2024. Nasal swabs from 256 PLWHIV were cultured, and microbiological isolation was performed at MBN Clinical Laboratories. Prevalence was calculated as proportions, and logistic regression identified associations with clinical and socio-demographic factors (p < 0.05). Of 256 participants, 163 (63.7%) carried Staphylococcus, with 82 (32%) identified as MRS carriers (8.9% MRSA, 23% MRCoNS). Frequent hospital visits ([&ge;]3) (adjusted incidence risk ratio [A-IRR] = 1.18 x 107, p < 0.001), second-line antiretroviral therapy (ART) (A-IRR = 3.82, p = 0.041), and unsuppressed viral load (>1000 copies/mL) (adjusted odds ratio [AOR] = 11.3, 95% CI: 2.11-60.58, p = 0.005) were significantly associated with MRS carriage. Mask-wearing was protective against MRCoNS (A-IRR = 1.66, 95% CI: 1.06-2.58, p = 0.026). MRS isolates exhibited high resistance to erythromycin (81.7%) and trimethoprim-sulfamethoxazole (79.3%), but susceptibility to linezolid (93.9%). MRS nasal carriage is prevalent among PLWHIV. Individuals with frequent health care contact and those on second-line ART regimens are more susceptible to MRS colonization, while individuals who wear face masks and those with an undetectable HIV viral load are less susceptible. Antimicrobial Resistance (AMR) surveillance within HIV programs, enhanced infection control, ART adherence, and targeted screening for high-risk groups are critical to mitigate colonization.

Background: Digital antimicrobial stewardship (AMS) interventions, such as clinical decision support systems, audit and feedback platforms, and electronic prescribing tools, have been increasingly adopted to improve antibiotic use. However, the effectiveness of these interventions across healthcare settings remains uncertain, and the certainty of the evidence has not been comprehensively evaluated. The objective of this study was to provide a comprehensive understanding of the role of digital interventions in optimizing antimicrobial use and improving clinical outcomes within a broad spectrum of healthcare settings. Methods: We conducted a systematic review and meta-analysis of randomized controlled trials evaluating digital AMS interventions that followed PRISMA 2020 guidelines and registered in PROSPERO CRD420251178854 and funded by the Wellcome Trust CAMO Net programme. Searches were performed across major databases. Primary outcomes included the appropriateness of antibiotic prescriptions and the antibiotic prescription rate. Secondary outcomes included 30 day mortality, 30 day hospital readmission, and length of hospital stay (LOS). Random effects models were used to pool effect sizes. Risk of bias was assessed RoB 2, and certainty of evidence was rated using GRADE. A Summary of Findings table was prepared to present effect estimates, sample sizes, and evidence certainty. Results: Eleven RCTs met the inclusion criteria, and nine were included in the quantitative synthesis. Digital AMS interventions did not show a significant effect on appropriateness of antibiotic prescribing (RR 0.99, 95%CI 0.93 to 1.05; very low certainty). There was no reduction in antibiotic prescription (RR 0.98, 95%CI 0.88 to 1.09), with substantial statistical heterogeneity and very low certainty. Across clinical outcomes, digital AMS showed no effect on 30 day mortality (RR 0.91, 95%CI 0.77 to 1.09; very low certainty) or 30 day readmission (RR 0.95, 95%CI 0.79 to 1.14; very low certainty). For LOS, results were inconsistent across studies, and the pooled effect showed no clinically meaningful change (MD 0.17 days, 95%CI 0.01 to 0.35; very low certainty). Most trials had some concerns of bias due to deviations from intended interventions. Conclusion: Meta-analyses of digital AMS RCTs showed a lack of evidence with a high level of certainty on antibiotic prescribing or clinical outcomes due to high heterogeneity in interventions and study designs, as well as RCTs' limitations (no adoption/fidelity metrics).

Introduction: Newborn babies frequently encounter acute respiratory failure requiring assisted ventilation. Acute respiratory failure in infants commonly present in a form of respiratory distress syndrome. There are several studies that documented factors associated with CPAP failure rates among preterm newborns worldwide. However, they were either statistically underpowered or defined by overt design errors. The proposed study will estimate incidence rate and predictors of Continuous Positive Airway Pressure (CPAP) failure among preterm newborns delivered at representative hospitals in a typical urban area of Africa. Methods and analysis: a prospective longitudinal cohort observational, analytical study will be conducted at neonatal and emergency units of all Dar es Salaam public regional referral hospitals from March to (and including) August 2026. Newborns with CPAP failure will be the target population. Newborns without CPAP failure will be the control group. Follow up for each child will commence from the moment the child is subjected to CPAP until CPAP failure is clinically evident or day seven of life, whichever comes first. Interval assessment of the SAS scores (for CPAP potency) will be done using Silverman-Anderson score sheet in 4-6 hours intervals (unless otherwise dictated by the child clinical situation). The main outcome/dependent variable will be proportion of new CPAP failure per newborn-time of follow up. A multivariable linear model will be used to account for independent predictors of CPAP failure. Unless otherwise stated, an alpha-level of 5% will be used as a limit of type 1 error in findings. Ethics and Dissemination process: The study has received an IRB certificate (IRB reference: KU/IREC/27/10/639) from the Institutional Research Ethics Committee of KU. Permission to recruit the affected children has been sought from Municipals based hospitals directors of Amana, Mwananyamala and Temeke regional referral hospitals respectively. Written informed consent will be sought from mothers of all recruited newborn babies.

Abstract Objective. To determine the incidence and identify independent clinical predictors of emergence delirium (ED) in children aged 2-12 years. Material and methods. A prospective observational study included 56 children aged 2-12 years undergoing elective surgery under general anaesthesia. Preoperative anxiety (m-YPAS), induction behaviour (4 point scale), anaesthesia duration, opioid use, and postoperative pain (FLACC) were assessed. ED was diagnosed when the maximum PAED score was [&ge;]12. Results. The incidence of ED was 55.4% (31/56). Univariate analysis with false discovery rate (FDR) correction identified significant associations with ED for anaesthesia duration (q=0.002), induction behaviour (q=0.007), and surgery type (q=0.027). Multivariable logistic regression revealed three independent predictors: induction behaviour (category 3 vs 1) - odds ratio (OR) 14.2 (95% CI 2.6-78.1); anaesthesia duration (per minute) - OR 1.07 (95% CI 1.02-1.13); opioid use - OR 12.1 (95% CI 1.3-113.0). The model showed good discriminatory ability: area under the ROC curve (AUC) = 0.83 (95% CI 0.72-0.94). Conclusion. Emergence delirium in children aged 2-12 years without pharmacological premedication occurs in 55.4% of cases. The strongest independent predictors are adverse induction behaviour, longer anaesthesia duration, and intraoperative opioid use. The derived model can be used for personalised risk stratification of ED. Keywords: emergence delirium; children; risk factors; PAED; prediction model.

Background Sierra Leones neonatal mortality rate is among the highest in the world. Koidu Government Hospital opened a Special Care Baby Unit (SCBU) in 2020. To increase knowledge of the SCBU health care providers (HCPs), a neonatal curriculum was implemented to facilitate HCP education on management of neonatal conditions. The aim of this study was to understand the effect of the curriculum on knowledge acquisition and the perception of the teaching methodologies among participating HCPs. Methods US-based mentors facilitated a two-phase, flipped classroom, virtual neonatal medicine curriculum between October 2024 and April 2025, followed by one-week in-person education sessions with SCBU HCPs. With each phase, participants completed pre- and post-test educational assessments. At the end of the curriculum, they completed a subjective assessment to capture perceptions related to the quality of teaching methodologies integrated within the curriculum. Wilcoxon signed rank test was used to assess pre- versus post-test change. Descriptive statistics were used to analyse the subjective assessment. Results Thirty-eight participants completed the educational assessments, 30 (79%) took all four pre- and post-tests; 25/38 (65.8%) were female, 27 (71.1%) were nurses. Median correct answers for both phases increased from the pre- to post-test for individual learners [Phase 1, pre-test 14/27 (51.9%), post-test 23/27 (85.2%), p<0.001], [Phase 2, pre-test 14/25 (56.0%), post-test 23/25 (92.0%), p <0.001]. Thirty-one participants completed the subjective assessment, of whom 96.8% (30/31) rated the curriculum to be "very effective." All 31 participants indicated that the in-person instruction was "very helpful." Through open text responses, they offered valuable insight into challenges, strengths, and next steps. Conclusion This neonatal curriculum resulted in significantly increased knowledge and was well regarded. Adapting this curriculum or similar curricula show promise to improve the quality of care for small and/or sick neonates in low resource settings.

Perioperative patient monitoring requires clinicians to integrate multiple physiological data streams under time pressure and frequent interruptions. Conventional monitors predominantly present vital signs as separate numerical values and waveforms, which must be sequentially interpreted and mentally integrated, imposing substantial cognitive demands. Audible alarms are intended to enhance safety but contribute to alarm fatigue and increased workload. Time spent outside predefined safe ranges for key physiological variables and excessive alarm burden are associated with adverse outcomes, motivating approaches that support earlier detection and improved situation awareness without increasing cognitive load. The Philips Visual Patient Avatar is an avatar-based visualisation technology displayed on the patient monitor that supports clinicians' situation awareness by integrating multiple vital signs and sensor states into a single animated virtual patient, while retaining conventional numerical displays. Although laboratory, simulation and qualitative studies suggest benefits of avatar-based monitoring, its impact on objective monitoring outcomes has not been systematically quantified.

Objective: Readmissions to the PICU are associated with increased morbidity and mortality. A prediction model that can identify children at risk of readmission at the time of transfer can allow providers to intervene and potentially improve patient outcomes. The objective of this study was to derive and validate machine learning models to predict PICU readmission at the time of transfer. Design: Retrospective observational cohort study Setting: Three quaternary care PICUs in the city of Chicago Patients: All children admitted to the PICU between 2012 and 2019. Measurements: The primary outcome was unplanned readmission to the PICU within 48 hours of transfer to the inpatient ward. Predictor variables included vital signs, patient characteristics, and laboratory results. We developed and externally validated four models to predict PICU readmission: logistic regression, elastic net, random forest, and XGBoost. Main Results: This study included 35,601 patients, with readmission rates ranging from 2.2-3.7% by site. The performance of models during internal validation was consistent at the three sites, with the area under the receiver operating characteristic (AUC) values between 0.70 and 0.73 and no difference across the four models. Model performance decreased significantly during external validation (AUCs of 0.60-0.69). The variables most important to the prediction differed at each site. Conclusion: Machine learning models for predicting readmissions to the PICU have limited generalizability. Locally derived models demonstrated modest performance in our study and could potentially inform provider decision-making if prospectively validated. Externally developed models are unlikely to perform well at predicting PICU readmissions.

Background: Antimicrobial resistance is the world's silent pandemic. The public knowledge, attitudes, and practices (KAP) about antibiotic usage are strongly related to the growing problem in Nepal. Methods: A cross-sectional descriptive survey was done to 263 respondents. Information on KAP regarding antibiotics, primary healthcare sources, and demography was collected through a questionnaire. To identify health literacy gaps and characteristics that contribute to improper antibiotic use, this study assessed these variables across an age group from 18 to 60 years. Descriptive statistics analysis was performed to analyze the data. Results: The majority of respondents were between the ages of 18 and 39 (85.1%), female (63.1%), and had at least a bachelor's degree (67.8%). Significant misunderstandings about antibiotics remained, even though 77.6% of respondents correctly recognized antibiotics as effective against bacteria; 44.1% incorrectly believed that antibiotics cure viral diseases, and 87.8% felt that antibiotics should be stopped right away if adverse effects develop. In practice, 52.9% acknowledged quitting antibiotics as soon as symptoms improved, despite 89.4% consulting doctors. Additionally, 43% of respondents said they have taken antibiotics without a prescription, frequently due to pharmacist recommendations (21.67%) and financial or geographical constraints. The main sources of information were doctors (11.07%) and pharmacist-doctor combinations (14.88%), yet 81.8% of respondents said they had never heard of the phrase antimicrobial resistance. Conclusion: There is a significant lack between theoretical understanding and practical application, despite the high levels of fundamental knowledge toward the prohibition of non-prescription sales. Self-medication and early withdrawal are still common inappropriate practices. It is crucial to implement focused teaching initiatives that highlight the differences between bacterial and viral diseases as well as the risks associated with leftover medicine. It is advised to use digital platforms for younger demographics and to strengthen the role of pharmacists in order to reduce AMR.

Background: Orthopedic surgeries are associated with significant intraoperative and postoperative pain, necessitating effective anesthesia strategies. Spinal anesthesia is commonly used for lower limb procedures due to its rapid onset and reliability; however, its limited duration may compromise prolonged surgical procedures and early postoperative pain control. Adjuvants such as dexamethasone have been explored to enhance and prolong the effects of local anesthetics. While evidence supports its efficacy, data from low-resource settings remain limited. Objective: To assess the effect of intrathecal dexamethasone as an adjuvant to bupivacaine on sensory block duration, time to first postoperative analgesia, and postoperative pain in patients undergoing lower limb orthopedic surgery at KCMC. Methodology: A randomized, double-blind controlled trial was conducted among 96 adult patients undergoing elective lower limb orthopedic surgery under spinal anesthesia. Participants were allocated using a computer-generated randomization sequence to receive either bupivacaine 15 mg with dexamethasone 4 mg (intervention group) or bupivacaine 15 mg with 1 ml normal saline (control group). Outcomes included sensory and motor block duration, time to first postoperative analgesia, and postoperative pain scores. Results: The dexamethasone group demonstrated a significantly prolonged sensory block duration (231 +/- 6 vs. 156 +/- 9 minutes; mean difference 75.11 minutes, 95% CI: 71.92-78.29; p < 0.001) and delayed time to first postoperative analgesia (252 +/- 7 vs. 181 +/- 7 minutes; mean difference 71.89 minutes, 95% CI: 68.91-74.86; p < 0.001). Motor block duration was also significantly longer (184 +/- 7 vs. 130 +/- 5 minutes; mean difference 53.42 minutes, 95% CI: 50.99-55.85; p < 0.001). Postoperative pain scores were significantly lower at 1 hour (mean difference -1.29 points, 95% CI: -1.52 to -1.05; p < 0.001) and at 2 hours (mean difference -1.97 points, 95% CI: -2.21 to -1.73; p < 0.001). Intraoperative opioid and benzodiazepine use were significantly reduced in the intervention group. Conclusion: The addition of intrathecal dexamethasone to bupivacaine significantly enhances sensory block duration, delays postoperative analgesia need, and improves early pain control. These findings support its use as a potentially practical adjuvant in resource-limited settings.

Mosquito-borne diseases continue to pose significant public health challenges worldwide, particularly in densely populated regions of South Asia and parts of North America experiencing increasing vector prevalence due to climate and environmental changes. Commercial mosquito repellents are widely used as a primary preventive measure; however, their efficacy, safety, and public health impacts vary depending on formulation, active ingredients, environmental conditions, and user practices. This study presents a comparative evaluation of commonly used mosquito repellent products in South Asia and North America, including coils, vaporizers, sprays, creams, and Natural repellents. The research aims to assess repellent efficacy against major mosquito vectors, evaluate potential health and respiratory effects associated with prolonged exposure, and analyze consumer awareness and usage patterns across different regions. Laboratory-based efficacy testing and field observations were conducted to compare protection duration, repellency rate, and environmental performance under varying climatic conditions. Safety assessments included analysis of chemical composition, indoor air quality impact, and reported adverse health symptoms among users. The findings indicate significant differences in effectiveness and safety profiles among product categories and geographical regions. Synthetic repellents generally demonstrated higher repellency duration, while herbal formulations showed improved safety and environmental compatibility. The study highlights the importance of standardized evaluation protocols, regulatory oversight, and public awareness in promoting safe and effective mosquito control strategies. These findings may support policymakers, healthcare professionals, and manufacturers in improving mosquito repellent technologies and reducing the burden of mosquito-borne diseases globally.

Fresh produce encounters pathogens at various stages of production and supply, with the harvesting process serving as one of these stages. To evaluate contamination associated with harvesting, we systematically swabbed zone 1 harvester surfaces and quantified Bacteroidales as a fecal biomarker using quantitative polymerase chain reaction (qPCR). Baseline contamination was dominated by non-detects, with occasional low-level detections (<25 copies/cm2) near the assay limit of detection (LoD). Detection occurred more frequently post-harvest (overall [~]4% pre-harvest and 10% post-harvest), while microbial loads remained low, indicating that harvesting primarily affected the likelihood of low-level contamination rather than increasing contamination abundance. Additionally, we developed and field-deployed a portable loop- mediated isothermal amplification (LAMP) assay for rapid harvester hygiene assessment and benchmarked its field performance against qPCR. Together, these results support a practical molecular tool for monitoring fecal contamination and informing cleaning and sanitization decisions.