Unnecessary Antibiotics Research Articles

Budget impact analysis on the use of Sysmex PA-100 AST system as a point of care for uncomplicated urinary tract infections detection and treatment in Spanish females

Objective Efficient diagnostic methods, such as the Sysmex PA-100, provide rapid antimicrobial susceptibility test results directly from urine samples with high sensitivity and specificity, and improve treatment recommendations. Our study analyzes the economic impact of integrating the Sysmex PA-100 to assess its potential benefits and cost implications for uncomplicated urinary tract infection (uUTI) management in Spain. Methodology A budget impact model was developed using a decision tree framework to compare current UTI management practices with a new scenario incorporating the Sysmex PA-100. The clinical inputs were extracted from published literature. The model, representing adult females with uUTIs, assessed direct medical and indirect costs over three years, including diagnostic procedures, treatment costs, staff time costs, and productivity loss. The cost data was captured from two Spanish hospitals. Two scenario analyses were conducted in the model: scenario A included costs for antimicrobial resistance (AMR) emergence in patients receiving unnecessary empirical antibiotics, whereas scenario B assumed no AMR costs. Results In scenario A, 100% implementation of PA-100 within various Spanish healthcare settings over one year resulted in total cost savings of EUR 323,657,712 (EUR 119.10 per patient per year). The total overall cost savings attributable to the implementation of PA-100 over three years were EUR 970,973,137. In scenario B, the total annual savings were EUR 4,254,795 (EUR 1.57 per patient per year), and the 3-year savings were EUR 12,764,385. Conclusion The adoption of this point-of-care system results in overall cost savings, driven by reductions in direct and indirect costs related to UTI management. The model highlights potential savings over three years owing to appropriate rapid management (reduction in time to diagnosis and treatment, which leads to fewer complications and secondary infections) and reduced staff time and productivity loss costs. These findings support the potential benefits of adopting the Sysmex PA-100 to enhance UTI management and allocate healthcare resource utilization in Spain.

Evaluating a virtual facilitation workshop with antimicrobial stewardship teams within a cluster randomized stepped-wedge trial

BackgroundAntimicrobial stewardship programs (ASP) often function naturally as facilitators within clinical hospital settings, by working with individuals and teams to reduce unnecessary antibiotics. Within implementation science, facilitation has been studied and evaluated as an implementation strategy that can accelerate and improve fidelity to implementation efforts. This study describes a novel, virtual facilitation strategy developed and served as an intervention within the optimizing perioperative antibiotics for children trial (OPERATIC trial). This paper: (1) describes ASP team’s preferences for and use of a facilitation workshop and (2) describes sustained use of facilitation skills throughout the study period.MethodsStudy participants included antimicrobial stewardship team members from the nine children’s hospitals that participated in this study and completed facilitation training. All individuals who completed facilitation training were asked to evaluate the training through an online survey. Additionally, site leads were interviewed by the site coordinator every other month and asked about their team’s use of facilitation skills throughout the rest of the study period. Survey data were managed and coded in R, and qualitative interview data were analyzed using rapid methodology.Results30 individuals, including both physicians and pharmacists, completed the evaluation. Individuals largely rated themselves as novice facilitators (53%). Individuals reported satisfaction with virtual facilitation and identified different components of the workshops as valuable. An additional 108 interviews were performed throughout the study period. These interviews found that facilitators reported using all skills throughout the study period and described varied use of skills over time. All nine sites applied facilitation strategies, team building techniques, and communication/conflict skills at some point during the intervention phase.ConclusionWe describe the use of virtual facilitation as an acceptable and appropriate strategy to enhance facilitation skills for ASP teams working to reduce unnecessary postoperative antibiotics. Participants reported different useful components of facilitation training and described using differing facilitation skills throughout the trial. Overall, the use of facilitation skills continued throughout the duration of the study period. This paper outlines how facilitation training can be conducted virtually in a way that is feasible and acceptable to clinicians.Trial registrationNCT04366440, April 24, 2020.

Unnecessary antibiotic use in men who have sex with men (MSM) with anogenital symptoms attending a sexual health clinic: a retrospective analysis

ObjectivesTo quantify the amount of unnecessary antibiotics, in particular ceftriaxone, given to men who have sex with men (MSM) with anogenital symptoms as part of presumptive management in an urban...

How, why and when are delayed (back-up) antibiotic prescriptions used in primary care? A realist review integrating concepts of uncertainty in healthcare

BackgroundAntimicrobial resistance is a global patient safety priority and inappropriate antimicrobial use is a key contributing factor. Evidence have shown that delayed (back-up) antibiotic prescriptions (DP) are an effective and safe strategy for reducing unnecessary antibiotic consumption but its use is controversial.MethodsWe conducted a realist review to ask why, how, and in what contexts general practitioners (GPs) use DP. We searched five electronic databases for relevant articles and included DP-related data from interviews with healthcare professionals in a related study. Data were analysed using a realist theory-driven approach – theorising which context(s) influenced (mechanisms) resultant outcome(s) (context-mechanism-outcome-configurations: CMOCs).ResultsData were included from 76 articles and 41 interviews to develop a program theory comprising nine key and 56 related CMOCs. These explain the reasons for GPs’ tolerance of risk to different uncertainties and how these may interact with GPs’ work environment, self-efficacy and perceived patient concordance to make using DP as a safety-net or social tool more or less likely, at a given time-point. For example, when a GP uses clinical scores or diagnostic tests: a clearly high or low score/test result may mitigate scientific uncertainty and lead to an immediate or no antibiotic decision; an intermediary result may provoke hermeneutic (interpretation-related) uncertainty and lead to DP becoming preferred and used as a safety net. Our program theory explains how DP can be used to mitigate some uncertainties but also provoke or exacerbate others.ConclusionThis review explains how, why and in what contexts GPs are more or less likely to use DP, as well as various uncertainties GPs face which DP may mitigate or provoke. We recommend that efforts to plan and implement interventions to optimise antibiotic prescribing in primary care consider these uncertainties and the contexts when DP may be (dis)preferred over other interventions to reduce antibiotic prescribing. We also recommend the following and have included example activities for: (i) reducing demand for immediate antibiotics; (ii) framing DP as an ‘active’ prescribing option; (iii) documenting the decision-making process around DP; and (iv) facilitating social and system support.

Antibiotic Overuse in Pediatric Patients Hospitalized with RSV, COVID-19, and Influenza

Abstract Background Children hospitalized with viral respiratory tract infections (RTIs) are often treated with antibiotics due to concern for bacterial co-infection, although most do not have concurrent bacterial infections. This practice leads to unnecessary antibiotic treatment, which can lead to development of resistant bacteria and adverse events. The extent of antibiotic overuse in hospitalized children with community-onset viral RTI has not been well-quantified in recent years and may have worsened during the COVID-19 pandemic. The objectives of this study were to quantify and compare the extent of antibiotic overtreatment and to determine predictors of antibiotic use post-COVID-19 pandemic in children hospitalized with RSV, COVID-19, and influenza. Methods We performed a single center retrospective study evaluating percentages of antibiotic use and bacterial co-infection among children and adolescents aged <19 years old, hospitalized with respiratory syncytial virus (RSV), influenza, or SARS-CoV-2 between April 2020 and May 2023. Bacterial infection was defined as growth of bacteria from any specimen source, including blood, urine, pleural fluid, cerebrospinal fluid, and respiratory secretions, excluding common contaminants like coagulase-negative Staphylococci. Predictors of antibiotic treatment were determined using multivariable logistic regression. Results During the study period 1,718 patients were included (1022 with RSV, 188 with influenza, 535 with COVID-19). RSV patients were younger and more likely to be in the ICU than influenza or COVID-19 patients. The overall proportion of patients with culture-confirmed bacterial co-infection was low at 8% and did not differ greatly by virus type (8% for influenza, 6.9% for RSV, 10.3% for COVID-19, p=0.03). The proportion of children receiving antibiotics was higher for influenza than for other viruses (60.6% for influenza, 41.2% for RSV, and 48.6% for COVID-19, p < 0.001). Among patients with the lowest severity of illness (with normal inflammatory markers [PCT <0.5 ug/mL or CRP <50 mg/L] and not admitted to the ICU), 7.3% had a culture-confirmed bacterial infection while 48.1% received antibiotics. Independent predictors for receiving antibiotics were elevated inflammatory markers (C-reactive protein or procalcitonin), having >3 comorbidities, mechanical ventilation, and influenza diagnosis. Conclusion In children hospitalized with community-onset viral RTIs, antibiotic treatment is substantially higher than the burden of culture-confirmed bacterial infection, suggesting antibiotic overuse. Antibiotic use was greater for patients with influenza than for those with RSV or COVID-19. Antibiotic overuse was estimated to occur in over 40% of patients with low severity of illness. Stewardship programs can use this data to design interventions to promote more judicious antibiotic use. Figure 1. Rates of bacterial co-infection and antibiotic utilization among patients hospitalized with influenza, RSV, and COVID. Blue, percentage of patients who had a culture-confirmed bacterial infection; orange, percentage of patients who received any antibiotics; green, percentage of patients who received >3 days of antibiotics.

Molecular Investigation of Seven Respiratory Viruses in Patients with Acute Respiratory Tract Infections

Introduction: Respiratory tract infection (RTI) is among the important factors that can threaten human health and is one of the most prevalent etiological agents of death, especially in young children. Viruses account for approximately 80% of various RTIs worldwide. Our study aimed to investigate the molecular prevalence of seven respiratory viruses in RTI. Our results can help develop appropriate public health strategies and treatment management of RTIs. Materials and Methods: 120 respiratory samples were obtained from patients with flu-like manifestations from hospitals referred to the Iran University of Medical Sciences during 2020-2022. Nucleic acid extraction was performed, and then real-time polymerase chain reaction was performed to analyze the specimens to investigate seven respiratory viruses. Results: Of the 120 respiratory specimens collected from patients with RTI, viruses were identified in 41 (34.16%) samples, encompassing 24 (40.7%) females and 17 (27.9%) males. SARS-CoV-2 (n = 22, 18.3%) and Parainfluenza virus (n=18, 15%) were the predominant detected viruses in the present study, followed by respiratory syncytial viruses (n=1, 0.8%). Other viruses like Metapneumovirus, Adenovirus, Bocavirus, and Rhinovirus were not found in our study. We could not detect any co-infection in our analysis. Conclusion: SARS-CoV-2 and Parainfluenza-virus were the predominant viruses detected in our study, followed by respiratory syncytial viruses. Other viruses, such as Metapneumovirus, Adenovirus, Bocavirus, and Rhinovirus, have not been found in our study. We could not detect any co-infection in our consideration. This result can help develop appropriate public health strategies, targeting prevention and avoiding inappropriate treatment such as using unnecessary antibiotics.

Nanoplasmonic Rapid Antimicrobial-Resistance Point-of-Care Identification Device: RAPIDx.

The emergence of antibiotic resistance has become a global health crisis, and everyone must arm themselves with wisdom to effectively combat the "silent tsunami" of infections that are no longer treatable with antibiotics. However, the overuse or inappropriate use of unnecessary antibiotics is still routine for administering them due to the unavailability of rapid, precise, and point-of-care assays. Here, a rapid antimicrobial-resistance point-of-care identification device (RAPIDx) is reported for the accurate and simultaneous identification of bacterial species (genotype) and target enzyme activity (phenotype). First, a contamination-free active target enzyme is extracted via the photothermal lysis of preconcentrated bacteria cells on a nanoplasmonic functional layer on-chip. Second, the rapid, precise identification of pathogens is achieved by the photonic rolling circle amplification of DNA on a chip. Third, the simultaneous identification of bacterial species (genotype) and target enzyme activity (phenotype) is demonstrated within a sample-to-answer 45min operation via the RAPIDx. It is believed that the RAPIDx will be a valuable method for solving the bottleneck of employing on-chip nanotechnology for antibiotic-resistant bioassay and other infectious diseases.

Diagnosis and Management of Neonatal Bacterial Sepsis: Current Challenges and Future Perspectives.

Sepsis remains the second cause of death among neonates after the pathological consequences of extreme prematurity. In this review we summarized knowledge about pathogens causing early-onset sepsis (EOS) and late-onset sepsis (LOS), the role of perinatal risk factors in determining the EOS risk, and the tools used to reduce unnecessary antibiotics. New molecular assays could improve the accuracy of standard blood cultures, providing the opportunity for a quick and sensitive tool. Different sepsis criteria and biomarkers are available to date, but further research is needed to guide the use of antibiotics according to these tools. Beyond the historical antibiotic regimens in EOS and LOS episodes, antibiotics should be based on the local flora and promptly modulated if specific pathogens are identified. The possibility of an antibiotic lock therapy for central venous catheters should be further investigated. In the near future, artificial intelligence could help us to personalize treatments and reduce the increasing trend of multidrug-resistant bacteria.

When antimicrobial stewardship begins with microbiological test requests: the case of asymptomatic bacteriuria.

We aim to review the rationale, methods, and experiences with diagnostic stewardship targeted at urinary tract infection (UTI) and related urinary syndromes. In the last 18 months, several articles have demonstrated the impact of diagnostic stewardship interventions at limiting inappropriate diagnosis of UTIs or inappropriate antibiotic-prescribing, targeting the urinary tract. Antimicrobial stewardship programs may create and implement interventions at the point of urine test ordering, urine test resulting, or at the point of prescribing antibiotics after results have returned. Specific design and implementation of stewardship interventions depends on context. To maximize their impact, interventions should be accompanied by education and garner buy-in from providers. Diagnostic stewardship can decrease unnecessary antibiotics and inappropriate diagnosis of UTI with multifaceted interventions most likely to be effective. Remaining questions include how to reduce ASB treatment in new populations, such as those with immune compromise, and persistent unknowns regarding UTI diagnosis and diagnostics.

Impact of respiratory pathogens detection by a rapid multiplex polymerase chain reaction assay on the management of community-acquired pneumonia for children at the paediatric emergency department. A randomized controlled trial, the Optimization of Pneumonia Acute Care (OPTIPAC) study

ObjectivesThe pathogen of community-acquired pneumonia (CAP) in children is typically uncertain during initial treatment, leading to systematic empiric antibiotic use. This study investigates if having rapid multiplex PCR results in the emergency department (ED) improves empiric treatment. MethodsOPTIPAC, a French multicentre study (2016–2018), enrolled patients consulting for CAP at the paediatric ED in 11 centres. Patients were randomized to either receive a multiplex PCR test plus usual care or usual care alone and followed for 15 days. The primary outcome was the appropriateness of initial antimicrobial management, determined by a blinded committee. ResultsOf the 499 randomized patients, 248 were tested with the multiplex PCR. Appropriateness of the antibiotic treatment was higher in the PCR group (168/245, 68.6% vs. 120/249, 48.2%; Relative risk 1.42 [1.22–1.66]; p < 0.0001), chiefly by reducing unnecessary antibiotics in viral pneumonia (RR 3.29 [2.20–4.90]). No adverse events were identified. DiscussionThe multiplex PCR assay result at the ED improves paediatric CAP's antimicrobial stewardship, by both reducing antibiotic prescriptions and enhancing treatment appropriateness.

A step forward in the diagnosis of urinary tract infections: from machine learning to clinical practice

ObjectivesUrinary tract infections (UTIs) are common infections within the Emergency Department (ED), causing increased laboratory workloads and unnecessary antibiotics prescriptions. The aim of this study was to improve UTI diagnostics in clinical practice by application of machine learning (ML) models for real-time UTI prediction. MethodsIn a retrospective study, patient information and outcomes from Emergency Department patients, with positive and negative culture results, were used to design models – ‘Random Forest’ and ‘Neural Network’ – for the prediction of UTIs. The performance of these predictive models was validated in a cross-sectional study. In a quasi-experimental study, the impact of UTI risk assessment was investigated by evaluating changes in the behaviour of clinicians, measuring changes in antibiotic prescriptions and urine culture requests. ResultsFirst, we trained and tested two different predictive models with 8692 cases. Second, we investigated the performance of the predictive models in clinical practice with 962 cases (Area under the curve was between 0.81 to 0.88). The best performance was the combination of both models. Finally, the assessment of the risk for UTIs was implemented into clinical practice and allowed for the reduction of unnecessary urine cultures and antibiotic prescriptions for patients with a low risk of UTI, as well as targeted diagnostics and treatment for patients with a high risk of UTI. ConclusionThe combination of modern urinalysis diagnostic technologies with digital health solutions can help to further improve UTI diagnostics with positive impact on laboratory workloads and antimicrobial stewardship.

New medical staff in the post-COVID-19 period entailed altered quality of antibiotic therapy

ObjectiveOur aim was to audit antibiotic prescriptions from renewed medical staff. MethodsA retrospective multicenter audit of antibiotic therapies was performed in four institutions with similar antimicrobial stewardship programs. We compared antibiotic prescriptions from physicians practicing before and after the pandemic. Antibiotic prescriptions were classified as optimal (OAT), suboptimal (SAT) or unnecessary antibiotic therapy (UAT). ResultsAll in all, 165 antibiotic courses was audited in 2023: OAT, SAT and UAT rates were 21, 42 and 38% respectively. Sixty-seven out of 165 (41%) prescriptions were given by new physicians. In multivariate analysis, antibiotic prescriptions from the latter compared to former were associated with less diagnosis of infection written in patient charts: AOR [CI 95%] 3.68 [1.53–8.83], and with UAT: 2.76 [1.34–5.68]. ConclusionsEnsuring adequate antibiotic prescriptions with renewed medical staff requires a high level of education and training.

Testing Different Message Styles about Unnecessary Antibiotics Using an Online Platform.

Patients' expectations are a major contributor to the unnecessary prescribing of antibiotics, yet limited research has examined how physicians can calibrate these expectations. The studies we conducted tested how varying messages could impact patients' expectations for antibiotics and their experience of medical appointments. All the participants read a short scenario about an appointment for mild sinusitis symptoms, with the patient's expectation of antibiotics. In Study 1, the participants (n = 1069) were randomly assigned to read a positively framed, neutral, or negatively framed message regarding unnecessary antibiotics. In Study 2, the participants (n = 1073) read a message emphasizing either the societal or personal harms of unnecessary antibiotics, or a message without additional rationale. None of our pre-registered hypotheses were supported, but our exploratory analyses indicated that the societal message increased concern about antibiotic resistance. The participants who were more concerned about resistance were less likely to ask for antibiotics, more satisfied when the physician did not prescribe them, and more likely to recommend the physician to a friend. Discussing the consequences of the different courses of action did not appear to negatively impact physician-patient rapport. These studies demonstrate an inexpensive method with which to pre-test various messages about antibiotic consumption, and suggest that such messages are not negatively received by patients.

A Prospective Quality Improvement Program to Reduce Prolonged Postoperative Antibiotic Prophylaxis in Ethiopia.

Introduction: Although postoperative antibiotic prophylaxis has not been shown to prevent surgical site infections, prolonged antibiotic administration is common in low- and middle-income countries. We developed a quality improvement program to reduce unnecessary postoperative antibiotics through hospital-specific guideline development and the use of a brief, multidisciplinary discussion of antibiotic indication, choice, and duration during clinical rounds. We assessed reduction in the number of patients receiving ≥24 h of antibiotic prophylaxis after clean and clean-contaminated surgery. Methods: We piloted the program at a referral hospital in Ethiopia from February to September 2023. After a 6-week baseline assessment, multidisciplinary teams adapted international guidelines for surgical prophylaxis to local disease burden, medication availability, and cost restrictions; stakeholders from surgical departments provided feedback. Surgical teams implemented a "timeout" during rounds to apply these guidelines to patient care; compliance with the timeout and antibiotic administration was assessed throughout the study period. Results: We collected data from 636 patients; 159 (25%) in the baseline period and 477 (75%) in the intervention period. The percentage of patients receiving ≥24 h of antibiotic prophylaxis after surgery decreased from 50.9% in the baseline period to 40.9% in the intervention period (p = 0.027) and was associated with a 0.5 day reduction in postoperative length of stay (p = 0.047). Discussion: This antibiotic stewardship pilot program reduced postoperative antibiotic prophylaxis in a resource-constrained setting in Sub-Saharan Africa and was associated with shorter length of stay. This program has the potential to reduce unnecessary antibiotic use in this population.

Qualitative evaluation of a molecular point-of-care testing study for influenza in UK primary care.

Influenza contributes to the surge in winter infections and the consequent winter pressures on the health service. Molecular point-of-care testing(POCT) for influenza might improve patient management by providing rapid and accurate clinical diagnosis to inform the timely initiation of antiviral therapy and reduce unnecessary admissions and antibiotics use. To explore factors that influence the adoption or non-adoption of POCT in English general practices and provide insights to enable its integration into routine practice workflows. A qualitative implementation evaluation was conducted in ten general practices within the English national sentinel network (Oxford-RCGP Research and Surveillance Centre), from April to July 2023. Using the nonadoption, abandonment, scale-up, spread, and sustainability framework, data collection and analysis were conducted across ten practices. We made ethnographic observations of the POCT workflow and surveyed the practice staff for their perspectives on POCT implementation. Data were analysed using a mix of descriptive statistics, graphical modelling techniques and framework approach. Ethnographic observations identified two modes of POCT integration into practice workflow: 1) clinician POCT workflow - typically involving batch testing due to time constraints, 2) research nurse/healthcare assistant POCT workflow - characterised by immediate testing of individual patients. Survey indicated that most primary care staff considered the POCT training offered was sufficient, and these practices were ready for change and had the capacity and resources to integrate POCT in workflows. General practices should demonstrate flexibility in the workflow and workforce they deploy to integrate POCT into routine clinical workflow.

Greenhouse Gas Emissions Due to Unnecessary Antibiotic Prescriptions for Respiratory Diagnoses

Background: Healthcare accounts for 8.5% of total US greenhouse gas emissions (GHGE), with US healthcare the main contributor. Yet little effort has been made to measure healthcare related GHGE. Specifically, GHGE related to unnecessary antibiotic prescriptions is unclear, and to our knowledge, no one has used estimates of GHGE of unnecessary antibiotics as an antibiotic stewardship tool. We aimed to measure GHGE from solid waste associated with unnecessary antibiotic prescriptions for respiratory conditions. Methods: We calculated emissions for an outpatient prescription including the plastic bottle, paper leaflet, and paper bag (photos) based on the weight of each item multiplied by US Environmental Protection Agency (EPA) GHGE factors. Emission factors depend on waste type and treatment method which we assumed to be landfilled. To estimate unnecessary antibiotic prescriptions for respiratory infections, visits from nine University of Utah Health Urgent Care Centers from 2019-2022 were electronically identified and included if they had an ICD-10-CM code for a respiratory diagnosis where antibiotics are not indicated. Waste emissions of the paper and plastic in an individual prescription were then multiplied by the number of unnecessary respiratory antibiotic prescriptions for designated time periods to arrive at total landfilled waste emissions. We used similar methods applied to published 2014 data from CDC to estimate national waste emissions due to unnecessary antibiotic prescriptions for respiratory infections. Finally, we used the EPA’s GHG Equivalencies Calculator to convert emissions into tangible GHGE for providers and patients. Results: A prescription has 32g of paper and 15g of plastic waste. Among 124,461 urgent care visits (Table 1) in 2019-2022, 18,531 (14.9%) received an antibiotic. This equates to 593 kg of paper waste and 278 kg of plastic waste leading to a total landfilled waste emissions of 0.479 MT CO2e/ton. Using the EPA GHG Equivalencies Calculator, this equates to driving an average gasoline-powered car 1,228 miles. There were 14,482,976 unnecessary antibiotic prescriptions (Table 2) in the US for respiratory infections in 2014. Our estimates suggest these prescriptions led to 375.109 CO2e/ton of GHGE, the same as driving 961,610 miles by an average gasoline-powered vehicle. Conclusion: Unnecessary antibiotic prescriptions are associated with substantial GHGE. This estimate demands further evaluation across diagnoses and care delivery sites, and most importantly action. Additionally, the large GHG contribution of unnecessary antibiotics should be used as a stewardship tool to highlight low-value care that is likely contributing to global climate change.

The pattern of antibiotic utilisation among intensive care unit patients hospitalised in a Gauteng (South African) provincial tertiary hospital: Comparing findings before and during COVID-19.

Various mechanisms may contribute to and direct the progression of antibiotic resistance. A prominent driver associated with antibiotic resistance is inappropriate use or consumption. The sudden emergence of coronavirus disease 2019 (COVID-19 ) changed the conventional practices related to antibiotic utilisation through repurposing the use of antibiotics. Apart from the implementation of antibiotic stewardship programmes, the pressure COVID-19 placed on healthcare systems resulted in poor prescribing and medication review practices, potentially exacerbating antibiotic resistance. Furthermore, the public health system has issues that make it difficult to routinely monitor, quantify antibiotic consumption, and offer evaluation, feedback and intervention, particularly in low- and middle- income countries such as South Africa (SA). Therefore, this study aimed to determine antibiotic utilisation before and during the COVID-19 pandemic in a Gauteng provincial tertiary hospital (GPTH) in SA. To determine, examine, and compare antibiotic consumption among intensive care unit (ICU) patients admitted to a GPTH during the pre-COVID-19 period and during the COVID-19 pandemic, in addition to determining the prevalence of the World Health Organisation (WHO) 'watch' category antibiotics before and following the emergence of COVID-19 . A retrospective cross-sectional data analysis was undertaken of 335 medical files of ICU patients hospitalised in a GPTH between January 2017 and December 2021. Descriptive statistics were used to examine patient characteristics and antibiotic prescribing variables (antibiotic selection, dosage, route of administration, frequency, duration of course and indication for which antibiotic was prescribed). The study found that the most frequently prescribed antibiotics were amoxicillin in combination with clavulanate (pre-pandemic 31.99%; amid-COVID-19 38.43%), followed by ceftriaxone (pre-pandemic 15.44%; amid-COVID-19 14.55%), piperacillin in combination with tazobactam (pre-pandemic 11.40%; amid-COVID-19 8.58%) and azithromycin (pre-pandemic 7.725%; amid-COVID-19 19.78%). The macrolide and penicillin (in combination with a beta-lactamase inhibitor) classes demonstrated an increase in consumption from the pre-pandemic period moving into the COVID-19 pandemic. This highlights the need for improved antibiotic stewardship programmes and policies to combat inappropriate and unnecessary antibiotic usage.

Get Smart in Healthcare to Preserve the Power of Antimicrobials: Antimicrobial Stewardship

Antimicrobial resistance is one of the alarming health hazard to mankind. Unnecessary antibiotic usage leads to drug resistance, predisposes to opportunistic infections in immunodeficient and unnecessary economical loss to patient. This manuscript compiles &amp; describes how crucial is Antimicrobial stewardship programs recommendations, strategies and implementation. Awareness and execution of institutional stewardship programs leads to better patient management, halt development of drug resistance and spread of resistant strains. This review is undertaken with an aim to discuss the development of an effective antimicrobial stewardship program and the key components and operating principles, and execution of these programs at healthcare facilities.

Predicting persistent fever in patients with cancer using machine learning.

e13552 Background: Sepsis is the leading cause of hospital readmission and death in the developed world. Cancer patients are at high risk due to their underlying disease and therapies. Meanwhile, antimicrobial resistance increases steadily, warranting a more careful administration of antibiotics. Predicting fever persistence 48 hours after initiation of antibiotics could help reduce antibiotic escalation and chest CT scans in patients where fever is predicted to subside within the next 24 hours. Methods: All cancer patients of the University Hospital Essen (UHE) between 1/1/2020-7/1/2023, receiving broad-spectrum i.v. antibiotics, and having persistent fever after 48 hours of first administration were extracted from UHE’s Fast Health Interoperability Resources clinical database. Vital signs, clinically important covariates, as well as lag features of vital signs and laboratory values were included. The binary target to predict was prevalence of body temperature ≥38 °C after 48-72 hours. Gradient boosting machines, a deep learning neural network, logistic regression (LR), random forest (RF) and a voting ensemble classifier were implemented. Hyperparameter tuning and model validation was performed through five-fold stratified cross validation (80/20% train/test split). Results: Analyzing 2.9 million patient records of UHE we obtained approx. 27,000 hospitalized adults with cancer. Restriction to hematology/oncology wards and intravenous broad-spectrum antibiotics resulted in 1,267 cancer patients. Of these, 264 patients had persistent fever after 48 hours, of which 111 patients had solid cancers, 66 lymphomas, and 87 other hematologic malignancies. 72 hours after antibiotic therapy 160 patients (60.2%) had persistent fever. Based on the area under the precision-recall curve (AUPRC) of 81.7%, the voting classifier model had the highest predictive performance. The model shows a sensitivity of 85%, a specificity of 63%, a Negative Predictive Value (NPV) of 75% and a Positive Predictive Value (PPV) of 73% on a cross-validated test set (Table). Conclusions: Machine learning-based algorithms can predict fever evolution and assist in clinical decision-making, potentially contributing to better patient care by preventing unnecessary antibiotics escalations and CT scans. Based on current model performance, 25% of chest CT scans could be obsolete as patients will not have persistent fever after 48 hours. Additional results will be presented at the meeting. [Table: see text]

Frozen Section of Placental Membranes and Umbilical Cord: A Valid Diagnostic Tool for Early-Onset Neonatal Sepsis Management.

Early-onset neonatal sepsis (EONS), a serious infection in newborns within 3 days, is challenging to diagnose. The current methods often lack accuracy, leading to unnecessary antibiotics or delayed treatment. This study investigates the role of the frozen section examination of placental membranes and umbilical cord (FSMU) to improve EONS diagnosis in the daily lab practice. This retrospective study reviewed data from 59 neonates with EONS risk factors who underwent FSMU according to our institutional protocol. Concordance between the FSMU and the Final Pathological Report (FPR) was assessed. The FSMU demonstrated a high concordance (Kappa = 0.88) for funisitis diagnosis, with excellent accuracy (98.3%). A moderate concordance was observed for chorioamnionitis stage and grade. The FSMU shows promise as a rapid and accurate tool for diagnosing EONS, particularly for funisitis. This study suggests that the FSMU could be a valuable tool for EONS diagnosis, enabling a more judicious antibiotic use and potentially improving outcomes for newborns.