Understanding the impact of COVID-19 on antibiotic use in Canadian primary care: a matched-cohort study using EMR data.

BACKGROUND: Inappropriate or overuse of antibiotic prescribing in primary care highlights an opportunity for antimicrobial stewardship (AMS) programs aimed at reducing unnecessary use of antimicrobials through education, policies and practice audits that optimize antibiotic prescribing. Evidence from the early part of the pandemic indicates a high rate of prescribing of antibiotics for patients with COVID-19. It is crucial to surveil antibiotic prescribing by primary care providers from the start of the pandemic and into its endemic stage to understand the effects of the pandemic and better target effective AMS programs. METHODS: This was a matched pair population-based cohort study that used electronic medical record (EMR) data from the Canadian Primary Care Sentinel Surveillance Network (CPCSSN). Participants included all patients that visited their primary care provider and met the inclusion criteria for COVID-19, respiratory tract infection (RTI), or non-respiratory or influenza-like-illness (negative). Four outcomes were evaluated (a) receipt of an antibiotic prescription; (b) receipt of a non-antibiotic prescription; (c) a subsequent primary care visit (for any reason); and (d) a subsequent primary care visit with a bacterial infection diagnosis. Conditional logistic regression was used to evaluate the association between COVID-19 and each of the four outcomes. Each model was adjusted for location (rural or urban), material and social deprivation, smoking status, alcohol use, obesity, pregnancy, HIV, cancer and number of chronic conditions. RESULTS: The odds of a COVID-19 patient receiving an antibiotic within 30 days of their visit is much lower than for patients visiting for RTI or for a non-respiratory or influenza-like-illnesses (AOR = 0.08, 95% CI[0.07, 0.09] compared to RTI, and AOR = 0.43, 95% CI[0.38, 0.48] compared to negatives). It was found that a patient visit for COVID-19 was much less likely to have a subsequent visit for a bacterial infection at all time points. CONCLUSIONS: Encouragingly, COVID-19 patients were much less likely to receive an antibiotic prescription than patients with an RTI. However, this highlights an opportunity to leverage the education and attitude change brought about by the public health messaging during the COVID-19 pandemic (that antibiotics cannot treat a viral infection), to reduce the prescribing of antibiotics for other viral RTIs and improve antibiotic stewardship.

Assessing ChatGPT's theoretical knowledge and prescriptive accuracy in bacterial infections: a comparative study with infectious diseases residents and specialists.

OBJECTIVES: Advancements in Artificial Intelligence(AI) have made platforms like ChatGPT increasingly relevant in medicine. This study assesses ChatGPT's utility in addressing bacterial infection-related questions and antibiogram-based clinical cases. METHODS: This study involved a collaborative effort involving infectious disease (ID) specialists and residents. A group of experts formulated six true/false, six open-ended questions, and six clinical cases with antibiograms for four types of infections (endocarditis, pneumonia, intra-abdominal infections, and bloodstream infection) for a total of 96 questions. The questions were submitted to four senior residents and four specialists in ID and inputted into ChatGPT-4 and a trained version of ChatGPT-4. A total of 720 responses were obtained and reviewed by a blinded panel of experts in antibiotic treatments. They evaluated the responses for accuracy and completeness, the ability to identify correct resistance mechanisms from antibiograms, and the appropriateness of antibiotics prescriptions. RESULTS: No significant difference was noted among the four groups for true/false questions, with approximately 70% correct answers. The trained ChatGPT-4 and ChatGPT-4 offered more accurate and complete answers to the open-ended questions than both the residents and specialists. Regarding the clinical case, we observed a lower accuracy from ChatGPT-4 to recognize the correct resistance mechanism. ChatGPT-4 tended not to prescribe newer antibiotics like cefiderocol or imipenem/cilastatin/relebactam, favoring less recommended options like colistin. Both trained- ChatGPT-4 and ChatGPT-4 recommended longer than necessary treatment periods (p-value = 0.022). CONCLUSIONS: This study highlights ChatGPT's capabilities and limitations in medical decision-making, specifically regarding bacterial infections and antibiogram analysis. While ChatGPT demonstrated proficiency in answering theoretical questions, it did not consistently align with expert decisions in clinical case management. Despite these limitations, the potential of ChatGPT as a supportive tool in ID education and preliminary analysis is evident. However, it should not replace expert consultation, especially in complex clinical decision-making.

A call to action: Studying the shortened duration of ceftriaxone for inpatient management of acute uncomplicated cystitis.

In an effort to expedite the publication of articles, AJHP is posting manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time.

Quantification of antimicrobial use on Irish dairy farms: A comparison of three recording methods.

Antimicrobial use (AMU) data are essential for monitoring usage over time, facilitating reduction strategies to combat the threat of antimicrobial resistance (AMR) to both human and animal health. The objective of this study was to measure and describe AMU over a 12-mo period in Irish dairy herds and compare 3 different recording methods to a reference method. A sample of 33 Irish dairy herds were randomly selected from 6 private veterinary practices across Ireland. The herds were followed for a 12-mo period and their AMU was monitored using 3 recording methods: 1. Veterinary prescription data (VET), 2. The inventory of medicine bins on the farms (BIN), and 3. Farmer treatment records from herd recording software (APP). Each recording method was compared with a previously developed reference method for AMU. The reference method used was based on pre- and poststudy medicine stock on the farms combined with veterinary prescription data. Antimicrobial use was analyzed using both mass- and dosed-based metrics, including mass (mg) of antimicrobial active ingredient per population correction unit (mg/PCU), defined daily doses for animals (DDDVET) and defined course doses for animals (DCDVET). Median AMU was 16.24, 10.47, 8.87 and 15.55 mg/PCU by mass, and 2.43, 1.55, 1.19 and 2.26 DDDVET by dose for VET, BIN, APP, and reference method data, respectively. Reliability of the agreement between each pair of methods was quantified using the concordance correlation coefficient (CCC). When compared with the reference method, VET data had excellent reliability [95% confidence interval (CI) of CCC: 0.992-0.998]. The BIN data had good to excellent reliability [95% CI of CCC: 0.776-0.936]. The APP data had poor reliability when compared with the reference method [95% CI of CCC: -0.167-0.156]. Our results highlight that a small number of herds were contributing most to overall use and farmers showed varying levels of consistency in recording AMU. Veterinary data were the most reliable approach for assessing AMU when compared with a reference method of AMU. This is an important finding for the future monitoring of AMU at a national level.

Development and validation of an automated antimicrobial surveillance system based on indications for antimicrobial administration.

INTRODUCTION: We developed an antimicrobial and patient background surveillance system (APBSS), an automated surveillance system that can calculate surveillance data such as antimicrobial use and detection of antimicrobial resistance for each indication of antimicrobial administration. We evaluated the validity of the APBSS data. METHODS: Eligible patients were hospitalized at the Toyota Kosei Hospital on July 7, 2022. Evaluated surveillance data included antimicrobial administration, indications for antimicrobial administration, and diagnosis. In the APBSS, surveillance data were calculated using the Diagnosis Procedure Combination data and Japan Nosocomial Infections Surveillance laboratory data. Using surveillance data collected by the Point Prevalence Survey (PPS) as a reference standard, the agreement between the results calculated based on the APBSS was evaluated using Cohen's kappa coefficient. Indications for antimicrobial administration and diagnosis were analyzed in patients identified for antimicrobial administration in PPS or APBSS. RESULTS: A total of 582 patients were included in this study, 223 of whom were evaluated for indications for antimicrobial administration and diagnosis. For the indications of antimicrobial administration, the Cohen's kappa coefficient was almost perfect (0.81-1.00) for all items. Cohen's kappa coefficient for the diagnosis of healthcare-associated infections was low. However, in major diseases (pneumonia and intra-abdominal, and symptomatic upper urinary tract infections) among community-acquired infections (CAIs) diagnosis, Cohen's kappa coefficient was substantial (0.61-0.80). CONCLUSIONS: The APBSS can identify indications for antimicrobial administration and major CAIs with high accuracy. Therefore, the APBSS can calculate surveillance data, such as antimicrobial use and detection of antimicrobial resistance, for each of these items.

Repeated doxycycline treatment among patients with neuroborreliosis: a nationwide, population-based, registry-based, matched cohort study.

OBJECTIVES: To investigate receipt of antibiotics among patients with neuroborreliosis after initial antibiotic treatment, likely attributable to posttreatment symptoms. METHODS: We performed a nationwide, matched, population-based cohort study in Denmark (2009-2021). We included all Danish patients with neuroborreliosis, i.e. a positive Borrelia burgdorferi intrathecal antibody index test and a cerebrospinal fluid leukocyte count ≥10 × 106/l, and initially treated with doxycycline. To form a comparison cohort, we randomly extracted individuals from the general population matched 1:10 to patients with neuroborreliosis on date of birth and sex. The main outcome was receipt of doxycycline, and the secondary outcome was receipt of phenoxymethylpenicillin. We calculated short-term (<1 year) and long-term (≥1 year) hazard ratios (HR) with 95% confidence intervals (95%CI). RESULTS: We included 463 patients with neuroborreliosis and 2,315 comparison cohort members. Compared with the comparison cohort members, patients with neuroborreliosis initially treated with doxycycline had increased receipt of additional doxycycline within 1 year (HR: 38.6, 95%CI: 17.5-85.0) and ≥1 years (HR: 3.5, 95%CI: 1.9-6.3). Compared with comparison cohort members, patients with neuroborreliosis had no increased receipt of phenoxymethylpenicillin (<1 year HR 1.0, 95%CI: 0.7-1.3; ≥1 years HR 1.2, 95%CI: 0.9-1.5). CONCLUSIONS: After initial antibiotic treatment, patients with neuroborreliosis have increased receipt of doxycycline particularly within one year after initial antibiotic therapy but also subsequently. The lack of increased receipt of phenoxymethylpenicillin suggests that the receipt of doxycycline was not merely due to differences in healthcare-seeking behaviour, increased risk of early Lyme borreliosis due to exposure, or differences in antibacterial usage in general.

Conflict and catastrophe-related severe burn injuries: a challenging setting for antimicrobial decision making.

Severe burns are a major component of conflict-related injuries and can resort in high rates of mortality. Conflict and disaster-related severe burns injuries present unique challenges in logistic, diagnostic and treatment options while wider conflict is associated with driving local antimicrobial resistance. We present a targeted review of available literature over the last 10 years on use of systemic antimicrobial antibiotics in this setting and, given limited available data, provide an expert consensus discussion. While international guidelines do not tend to recommend routine use of prophylactic systemic antibiotics, the challenges of conflict-settings and potential for polytrauma are likely to have ongoing impacts on antimicrobial decision making and use. Efforts must be made to develop a suitable evidence base in this unique setting. In the interim, a pragmatic approach to balancing selective pressures of antimicrobial use with realistic access is possible.

Antimicrobial Stewardship Practices in Outpatient Parenteral Antimicrobial Therapy Programs in the United States.

Background: Outpatient parenteral antimicrobial therapy (OPAT) regimens typically prioritize ease of antimicrobial administration, tolerability, safety, and accessibility over using the narrowest-spectrum antimicrobial. In light of this, OPAT providers often utilize different techniques to promote antimicrobial stewardship (AMS) in their OPAT programs. This study aims to characterize the AMS practices of OPAT programs across the United States that might meet The Joint Commission requirements for outpatient AMS metrics. Methods: This is a cross-sectional electronic survey of the Vizient AMS network. A total of 95 possible questions were designed to inquire about demographics, OPAT program structure, AMS initiatives, performance metrics, and resources. Results: Seventy-four survey responses were received, with 58 (78.4%) of the respondents indicating their institution offered OPAT services. Respondents reported having at least 1 AMS protocol and tracking at least 1 metric in 91% and 74% of OPAT programs, respectively. Only 40% of programs reported billing for OPAT-related services. Approximately 45% of respondents disagreed or strongly disagreed that their OPAT program had the resources needed to care for the population it serves. Respondents identified data analytics (69%), funding for expansion of services (67%), and pharmacists (62%) as resources of greatest need for their OPAT programs. Conclusions: This survey collectively describes the AMS practices currently employed by OPAT programs across the United States. The results provide specific examples of AMS initiatives, metrics, and resources that institutions may reference to advance the practices of their OPAT programs to meet The Joint Commission Outpatient Antimicrobial Stewardship standards.

Diabetic Foot Osteomyelitis Undergoing Amputation: Epidemiology and Prognostic Factors for Treatment Failure.

Background: When treating diabetic foot osteomyelitis (DFO), it remains difficult to determine the presence of residual infection and the optimal treatment after bone resection. In this study, we aimed to investigate the clinical characteristics of and prognostic factors in patients with DFO undergoing amputation. Methods: This retrospective study involved 101 patients with DFO who underwent amputation. Data on their demographics, clinical characteristics, tissue culture, and surgery type were collected. Patients were grouped according to primary closure status and clinical outcome postamputation. A good outcome was defined as a successful complete remission, characterized by the maintenance of complete wound healing with no sign of infection at 6 months postamputation. Multivariate logistic regression analysis was performed. Outcomes according to surgery type were also analyzed. Results: Staphylococcus aureus (17%) and Pseudomonas species (14%) were the most prevalent pathogens. Gram-negative bacteria were isolated from 62% of patients. In patients with primary closure, hemodialysis and ankle brachial index (ABI) <0.6 were associated with poor outcomes. In patients with DFO, ABI <0.6 was the only prognostic factor associated with treatment failure. Antimicrobial stewardship allows patients who underwent major amputation to reduce the duration of antibiotic therapy compared to those after minor amputation, although it did not contribute to reducing mortality. Conclusions: Peripheral artery disease and hemodialysis were associated with poor outcomes despite radical resection of the infected bone. Vigilant monitoring after amputation and antimicrobial stewardship implemented based on microbiological epidemiology, prognostic factors, and the type of surgery are important. A multidisciplinary team could assist in these activities to ensure treatment success.

Distributive justice and value trade-offs in antibiotic use in aged care settings.

Residential aged care facilities (RACF) are sites of high antibiotic use in Australia. Misuse of antimicrobial drugs in RACF contributes to antimicrobial resistance (AMR) burdens that accrue to individuals and the wider public, now and in the future. Antimicrobial stewardship (AMS) practices in RACF, e.g. requiring conformation of infection, are designed to minimise inappropriate use of antibiotics. We conducted dialogue groups with 46 participants with a parent receiving aged care to better understand families' perspectives on antibiotics and care in RACF. Participants grappled with value trade offs in thinking about their own parents' care, juggling imagined population and future harms with known short term comfort of individuals and prioritising the latter. Distributive justice in AMR relies on collective moral responsibility and action for the benefit of future generations and unknown others. In RACF, AMS requires value trade-offs and compromise on antimicrobial use in an environment that is heavily reliant on antimicrobial drugs to perform caring functions. In the context of aged care, AMS is a technical solution to a deeply relational and socio-structural problem and there is a risk that carers (workers, families) are morally burdened by system failures that are not addressed in AMS solutions.

Treating Mycoplasma genitalium (in pregnancy): a social and reproductive justice concern.

Antimicrobial Resistance is a threat to individual and to population health and to future generations, requiring "collective sacrifices" in order to preserve antibiotic efficacy. 'Who should make the sacrifices?' and 'Who will most likely make them?' are ethical concerns posited as potentially manageable through Antimicrobial Stewardship. Antimicrobial stewardship almost inevitably involves a form of clinical cost-benefit analysis that assesses the possible effects of antibiotics to treat a diagnosed infection in a particular patient. However, this process rarely accounts properly for patients - above and beyond assessments of potential (non)compliance or adherence to care regimes. Drawing on a vignette of a pregnant woman of colour and migrant diagnosed with Mycoplasma genitalium, a sexually transmissible bacterium, this article draws out some of the ethical, speculative, and practical tensions and complexities involved in Antimicrobial Stewardship. We argue that patients also engage in a form of cost-benefit analysis influenced by experiences of reproductive and social (in)justice and comprising speculative variables - to anticipate future possibilities. These processes have the potential to have effects above and beyond the specific infection antimicrobial stewardship was activated to address. We contend that efforts to practice and research antimicrobial stewardship should accommodate and incorporate these variables and acknowledge the structures they emerge with(in), even if their components remain unknown. This would involve recognising that antimicrobial stewardship is intricately connected to other social justice issues such as immigration policy, economic justice, access to appropriate medical care, racism, etc.

Applications of machine learning on electronic health record data to combat antibiotic resistance.

There is growing excitement about the clinical use of artificial intelligence and machine learning technologies. Advancements in computing and the accessibility of machine learning frameworks enable researchers to easily train predictive models using electronic health record data. However, there are several practical factors that must be considered when employing machine learning on electronic health record data. We provide a primer on machine learning and approaches commonly taken to address these challenges. To illustrate how these approaches have been applied to address antimicrobial resistance, we review the use of electronic health record data to construct machine learning models for predicting pathogen carriage or infection, optimizing empiric therapy, and aiding antimicrobial stewardship tasks. Machine learning shows promise in promoting the appropriate use of antimicrobials, although clinical deployment is limited. We conclude by describing potential dangers of, and barriers to, implementation of machine learning models in the clinic.

Predictors of thirty-day mortality among patients with blood stream infection with WHO priority pathogens: single centre exploratory study from a referral teaching hospital in central India.

Background and Objectives: Bloodstream infection (BSI) is defined by the presence of viable microorganisms in the bloodstream. BSI is one of the major causes of sepsis and subsequent adverse clinical outcomes all across the globe. The present study was undertaken to identify clinico-epidemio-microbiological variables associated with 30-day mortality in patients having BSI with WHO priority pathogens. Materials and Methods: The study was conducted at a public sector tertiary care institute in central India from April 2019 to March 2021. Blood samples collected from patients with clinical suspicion of sepsis, were processed by automated bacterial culture system and interpreted as per CLSI guidelines. Calculated sample size was 150. Data was analyzed by R software. Results: Respiratory tract infection was the most common source (43.3%) of BSI, followed by the gastrointestinal (20%) and urinary tract (18.7%). Among the patients, 33% required invasive mechanical ventilation, and 31% required inotropes. Diabetes mellitus (DM) was the most common co-morbidity (34%). The incidence of multi-drug resistant organisms (MDRO) was 59.3%. Escherichia coli was the most commonly (24%) isolated organism, followed by Klebsiella pneumoniae (17.3%) and Acinetobacter baumannii (16%). Conclusion: Higher age, higher qSOFA score / SIRS score / mean SOFA score at presentation had higher mortality. Use of mechanical ventilation and inotropes during treatment and isolation of critical category organisms of WPP and multi drug resistant organisms were independent 30-day mortality predictors.

The Impact of Reporting the Same-Day Identification and Antibiotic Susceptibility Test Results on the Treatment of Bloodstream Infections.

Objective: The rise of antibiotic-resistant organisms necessitates the implementation of rapid identification (ID) and antibiotic susceptibility testing (AST) methods for patient management. We aimed to analyze how rapid ID and AST reporting influenced clinicians' treatment decisions. Materials and Methods: Bacteria were identified directly from positive blood cultures (BC) using serum separator tubes and MALDI-TOF MS. EUCAST rapid antibiotic susceptibility testing (RAST) method was performed for AST. The impact of rapid ID and AST reports on clinician treatment decisions was evaluated through clinical documentation. The appropriateness of antimicrobial therapy and interventions was assessed according to institutional antimicrobial prescribing guidelines, AST results, and clinical data. Results: A total of 128 BC bottles from 86 patients underwent processing. The rapid ID method was successful in 105 (82.1%) bottles obtained from 76 patients. The rapid ID results were reviewed by the Infectious Diseases Team on the same day for 55 (72.4%) of the 76 patients. Following the evaluation, new treatments or interventions were recommended for 28 (36.8%) patients. RAST results were available for 24 patients. The susceptibility profile of seven patients was assessed by the Infectious Diseases Team on the same day. Antimicrobial treatment was escalated in four cases, and de-escalation was made in two based on RAST results. If all rapid results had been assessed, adjustments could have been made for eight (10.5%) and eleven (14.5%) more patients, according to ID and RAST results, respectively. Conclusion: Implementation of rapid ID and AST may contribute to patient management. Although rapid reporting was made, some results were not evaluated by the clinician on the same day, indicating that communication between the clinician and the laboratory needs to be strengthened.

Ceftriaxone Versus Cefazolin Susceptibility as a Surrogate Marker for Cefpodoxime Susceptibility in Enterobacterales.

The Clinical and Laboratory Standards Institute stated that cefpodoxime susceptibility among Enterobacterales can be inferred from cefazolin, but this may overcall cefpodoxime resistance. We report a categorical agreement rate of 64% for cefazolin and 97% for ceftriaxone with cefpodoxime (P = .0001). Ceftriaxone appears to be a more useful cefpodoxime surrogate.

Antibiotic stewardship in the emergency department setting: Focus on oral antibiotic selection for adults with skin and soft tissue infections.

PURPOSE: An advisory panel of experts was convened by the ASHP Foundation as a part of its Medication-Use Evaluation Resources initiative to provide commentary on an approach to antibiotic stewardship in the treatment of skin and soft tissue infections (SSTIs), with a focus on oral antibiotics in the emergency department (ED) setting for patients who will be treated as outpatients. Considerations include a need to update existing guidelines to reflect new antibiotics and susceptibility patterns, patient-specific criteria impacting antibiotic selection, and logistics unique to the ED setting. SUMMARY: While national guidelines serve as the gold standard on which to base SSTI treatment decisions, our advisory panel stressed that institutional guidelines must be regularly updated and grounded in local antimicrobial resistance patterns, patient-specific factors, and logistical considerations. Convening a team of experts locally to establish institution-specific guidelines as part of a comprehensive antibiotic stewardship program can ensure patients receive the most appropriate oral therapy for the outpatient treatment of SSTIs in patients visiting the ED. CONCLUSION: SSTI treatment considerations for antibiotic selection in the ED supported by current, evidence-based guidelines, including guidance on optimal oral antibiotic selection for patients discharged for outpatient treatment, are a useful tool to improve the quality and efficiency of care, enhance patient-centric outcomes and satisfaction, decrease healthcare costs, and reduce overuse of antibiotics.

Nationwide Analysis of Antimicrobial Prescription in Korean Hospitals between 2018 and 2021: The 2023 KONAS Report.

BACKGROUND: Data on antimicrobial use at the national level are crucial for establishing domestic antimicrobial stewardship policies and enabling medical institutions to benchmark each other. This study aimed to analyze antimicrobial use in Korean hospitals. MATERIALS AND METHODS: We investigated antimicrobials prescribed in Korean hospitals between 2018 and 2021 using data from the Health Insurance Review and Assessment. Primary care hospitals (PCHs), secondary care hospitals (SCHs), and tertiary care hospitals (TCHs) were included in this analysis. Antimicrobials were categorized according to the Korea National Antimicrobial Use Analysis System (KONAS) classification, which is suitable for measuring antimicrobial use in Korean hospitals. RESULTS: Among over 1,900 hospitals, PCHs constituted the highest proportion, whereas TCHs had the lowest representation. The most frequently prescribed antimicrobials in 2021 were piperacillin/ß-lactamase inhibitor (9.3%) in TCHs, ceftriaxone (11.0%) in SCHs, and cefazedone (18.9%) in PCHs. Between 2018 and 2021, the most used antimicrobial classes according to the KONAS classification were 'broad-spectrum antibacterial agents predominantly used for community-acquired infections' in SCHs and TCHs and 'narrow spectrum beta-lactam agents' in PCHs. Total consumption of antimicrobials decreased from 951.7 to 929.9 days of therapy (DOT)/1,000 patient-days in TCHs and 817.8 to 752.2 DOT/1,000 patient-days in SCHs during study period; however, no reduction was noted in PCHs (from 504.3 to 527.2 DOT/1,000 patient-days). Moreover, in 2021, the use of reserve antimicrobials decreased from 13.6 to 10.7 DOT/1,000 patient-days in TCHs and from 4.6 to 3.3 DOT/1,000 patient-days in SCHs. However, in PCHs, the use increased from 0.7 to 0.8 DOT/1,000 patient-days. CONCLUSION: This study confirmed that antimicrobial use differed according to hospital type in Korea. Recent increases in the use of total and reserve antimicrobials in PCHs reflect the challenges that must be addressed.

A Case of Painless Elderly-Onset Rheumatoid Arthritis.

Rheumatoid arthritis (RA) has multiple manifestations. Patients present with a variety of symptoms and varying levels of severity. Elderly-onset rheumatoid arthritis (EORA) is described as RA with onset after 60 years of age. EORA can present with different clinical and laboratory findings compared to RA in a younger patient, making awareness of the condition important. Diagnosing inflammatory arthritis can be especially challenging in an elderly population where symptoms are poorly reported and communication is often difficult. We report the case of an elderly patient whose presentation with persistent tachycardia and raised inflammatory markers led to a diagnosis of EORA. This case details an atypical presentation of EORA with convincing diagnostic features for the disease without any joint symptoms reported. Clinicians should be aware of the differences in the typical presentation of EORA versus RA, the challenges of diagnosing inflammatory arthritis in elderly, isolated patients, and the importance of early diagnosis.