Infection In Emergency Department Research Articles

Social Behaviors Associated with SARS-CoV-2 Test Positivity Among Children Evaluated in Canadian Emergency Departments, 2020 to 2022: A Cross-Sectional Survey Study

ObjectiveTo evaluate how social behaviors relate to SARS-CoV-2 test positivity across pediatric age groups. MethodsMulticenter, cross-sectional study recruiting children <18 years old tested for SARS-CoV-2 infection in emergency departments between 2020 and 2022. We used multivariate logistic regression to assess how self-reported social behaviors affect SARS-CoV-2 test positivity across four age groups. Causal mediation analysis quantified how mask-wearing and presence of an infected close contact mediated the SARS-CoV-2 risk of given behaviors. ResultsSeven thousand two hundred and seventy two children were enrolled and 1457 (20.0%) tested positive for SARS-CoV-2. Attending a social gathering was associated with increased odds (aOR 1.64, 95% CI: 1.05, 2.57) of SARS-CoV-2 positivity among children aged 5-<12 years. Those attending in-person school/daycare were less likely to test positive for SARS-CoV-2 across all age categories. Attending childcare was associated with 16.3% (95% CI: −21.0%, −11.2%) and 9.0% (95% CI: −11.6%, −6.5%) reductions in the probability of testing positive for SARS-CoV-2 infection, with 53.5% (95% CI: 39.2%, 73.9%) and 22.8% (95% CI: 9.7%, 36.2%) of the effects being mediated by the presence of a close contact among <1 year and 1-<5 year age groups, respectively. Masking in public mediated the association between childcare attendance and SARS-CoV-2 positivity in children aged <1 year. ConclusionsAttending social gatherings increased the risk of SARS-CoV-2 test positivity in 5-<12-year-old children, but in-person daycare/school was associated with a reduced odds of testing positive across all ages. Settings with high public health adherence (ie, schools) reduced the risk of testing positive for SARS-CoV-2, possibly from reduced close contact with SARS-CoV-2 positive individuals.

Clinical diagnostic value of metagenomic next-generation sequencing in patients with acute infection in emergency department

ObjectiveTo explore the value of metagenomic next-generation sequencing (mNGS) and culture in microbial diagnosis of patients with acute infection. MethodsWe retrospectively analyzed 206 specimens from 163 patients who were admitted to the emergency department of The First Affiliated Hospital of Sun Yat-sen University between July 2020, and July 2021. We evaluated the diagnostic efficacy of mNGS and in-hospital traditional culture. ResultsThe total positive rate of mNGS was significantly higher than that culture methods (71.4 % vs 40.8 %, p < 0.001), while the sensitivity and accuracy of mNGS were found to be 92.9 % and 88.2 % respectively. However, culture exhibited superior specificity with a value of 92.6 % compared to 75.9 % for mNGS. The detection efficiency of mNGS and culture for fungi was comparable, but mNGS showed superior performance for bacterial detection. In the analysis of sepsis samples, mNGS outperformed traditional culture methods in diagnosing various types of samples, especially for sputum and bronchoalveolar lavage fluid. Among the identified infections, bacterial infections were the most common single infection (37.5 %). Additionally, bacterial-fungal infections represented the most prevalent form of mixed infection (77.3 %). Candida albicans and Staphylococcus aureus were identified as the predominant pathogens in the survival and death groups, respectively. No significant differences in microbial diversity were observed. ConclusionCompared to culture methods, mNGS demonstrates superior positive rates, sensitivity, and accuracy in the rapid detection of acute infections, particularly in critically ill patients such as those with sepsis. This capability establishes a foundation for the swift and precise identification of pathogens, allowing for the analysis of clinical indicators and patient prognosis based on the extensive data generated from mNGS.

Assessing the clinical utility of abdominal computed tomography in sepsis patients with unknown origin: A retrospective cohort study.

Early identification of the sources of infection in emergency department (ED) patients of sepsis remains challenging. Computed tomography (CT) has the potential to identify sources of infection. This retrospective study aimed to investigate the role of CT in identifying sources of infection in patients with sepsis without obvious infection foci in the ED. A retrospective chart review was conducted on patients with fever and sepsis visiting the ED of Linkou Chang Gung Memorial Hospital between July 1, 2020 and June 30, 2021. Data on patient demographics, vital signs, clinical symptoms, underlying medical conditions, laboratory results, administered interventions, length of hospital stay, and mortality outcomes were collected and analyzed. Of 218 patients included in the study, 139 (63.8%) had positive CT findings. The most common sources of infection detected by CT included liver abscesses, acute pyelonephritis, and cholangitis. Laboratory results showed that patients with positive CT findings had higher white blood cell and absolute neutrophil counts and lower hemoglobin levels. Positive blood culture results were more common in patients with positive CT findings. Additionally, the length of hospital stay was longer in the group with positive CT findings. Multivariate logistic regression analysis revealed that hemoglobin levels and positive blood culture results independently predicted positive CT findings in patients with fever or sepsis without an obvious source of infection. In patients with sepsis with an undetermined infection focus, those presenting with leukocytosis, anemia, and elevated absolute neutrophil counts tended to have positive findings on abdominal CT scans. These patients had high rates of bacteremia and longer lengths of stay. Abdominal CT remains a valuable diagnostic tool for identifying infection sources in carefully selected patients with sepsis of undetermined infection origins.

Early identification of suspected serious infection among patients afebrile at initial presentation using neural network models and natural language processing: A development and external validation study in the emergency department

ObjectiveTo develop and externally validate models based on neural networks and natural language processing (NLP) to identify suspected serious infections in emergency department (ED) patients afebrile at initial presentation. MethodsThis retrospective study included adults who visited the ED afebrile at initial presentation. We developed four models based on artificial neural networks to identify suspected serious infection. Patient demographics, vital signs, laboratory test results and information extracted from initial ED physician notes using term frequency-inverse document frequency were used as model variables. Models were trained and internally validated with data from one hospital and externally validated using data from a different hospital. Model discrimination was evaluated using area under the receiver operating characteristic curve (AUC) and 95% confidence intervals (CIs). ResultsThe training, internal validation, and external validation datasets comprised 150,699, 37,675, and 85,098 patients, respectively. The AUCs (95% CIs) for Models 1 (demographics + vital signs), 2 (demographics + vital signs + initial ED physician note), 3 (demographics + vital signs + laboratory tests), and 4 (demographics + vital signs + laboratory tests + initial ED physician note) in the internal validation dataset were 0.789 (0.782–0.796), 0.867 (0.862–0.872), 0.881 (0.876–0.887), and 0.911 (0.906–0.915), respectively. In the external validation dataset, the AUCs (95% CIs) of Models 1, 2, 3, and 4 were 0.824 (0.817–0.830), 0.895 (0.890–0.899), 0.879 (0.873–0.884), and 0.913 (0.909–0.917), respectively. Model 1 can be utilized immediately after ED triage, Model 2 can be utilized after the initial physician notes are recorded (median time from ED triage: 28 min), and Models 3 and 4 can be utilized after the initial laboratory tests are reported (median time from ED triage: 68 min). ConclusionsWe developed and validated models to identify suspected serious infection in the ED. Extracted information from initial ED physician notes using NLP contributed to increased model performance, permitting identification of suspected serious infection at early stages of ED visits.

N-of-1 Trials of Antimicrobial Stewardship Interventions to Optimize Antibiotic Prescribing for Upper Respiratory Tract Infection in Emergency Departments: Protocol for a Quasi-Experimental Study.

Antimicrobial stewardship programs attempting to optimize antibiotic therapy and clinical outcomes mainly focus on inpatient and outpatient settings. The lack of antimicrobial stewardship program studies in the emergency department (ED) represents a gap in tackling the problem of antimicrobial resistance as EDs treat a substantial number of upper respiratory tract infection cases throughout the year. We intend to implement two evidence-based interventions: (1) patient education and (2) providing physician feedback on their prescribing rates. We will incorporate evidence from a literature review and contextualizing the interventions based on findings from a local qualitative study. Our study uses a quasi-experimental design to evaluate the effects of interventions over time in the EDs of 4 public hospitals in Singapore. We will include an initial control period of 18 months. In the next 6 months, we will randomize 2 EDs to receive 1 intervention (ie, patient education) and the other 2 EDs to receive the alternative intervention (ie, physician feedback). All EDs will receive the second intervention in the subsequent 6 months on top of the ongoing intervention. Data will be collected for another 6 months to assess the persistence of the intervention effects. The information leaflets will be handed to patients at the EDs before they consult with the physician, while feedback to individual physicians by senior doctors is in the form of electronic text messages. The feedback will contain the physicians' antibiotic prescribing rate compared with the departments' overall antibiotic prescribing rate and a bite-size message on good antibiotic prescribing practices. We will analyze the data using segmented regression with difference-in-difference estimation to account for concurrent cluster comparisons. Our proposed study assesses the effectiveness of evidence-based, context-specific interventions to optimize antibiotic prescribing in EDs. These interventions are aligned with Singapore's national effort to tackle antimicrobial resistance and can be scaled up if successful. ClinicalTrials.gov NCT05451863; https://clinicaltrials.gov/study/NCT05451836. DERR1-10.2196/50417.

Translated article] Design of a panel of indicators for antibiotic stewardship programs in the Emergency Department

ObjectiveTo develop a panel of indicators to monitor antimicrobial stewardship programs activity in the emergency department. MethodsA multidisciplinary group consisting of experts in the management of infection in emergency departments and the implementation of antimicrobial stewardship programs (ASP) evaluated a proposal of indicators using a modified Delphi methodology. In the first round, each expert classified the relevance of each proposed indicators in two dimensions (healthcare impact and ease of implementation) and two attributes (prioritisation level and frequency). The second round was conducted based on the modified questionnaire according to the suggestions raised and new indicators suggested. Experts modified the prioritisation order and rated the new indicators in the same manner as in the first round. Results61 potential indicators divided into four groups were proposed: consumption indicators, microbiological indicators, process indicators, and outcome indicators. After analysing the scores and comments from the first round, 31 indicators were classified as high priority, 25 as intermediate priority, and 5 as low priority. Moreover, 18 new indicators were generated. Following the second round, all 61 initially proposed indicators were retained, and 18 new indicators were incorporated: 11 classified as high priority, 3 as intermediate priority, and 4 as low priority. ConclusionsThe experts agreed on a panel of ASP Indicators adapted to the emergency services prioritised by level of relevance. This is as a helpful tool for the development of these programs and will contribute to monitoring the appropriateness of the use of antimicrobials in these units.

Antibiotic Guideline Adherence at the Emergency Department: A Descriptive Study from a Country with a Restrictive Antibiotic Policy.

Denmark has a low level of antimicrobial resistance (AMR). Patients hospitalized with suspected infection often present with unspecific symptoms. This challenges the physician between using narrow-spectrum antibiotics in accordance with guidelines or broad-spectrum antibiotics to compensate for diagnostic uncertainty. The aim of this study was to investigate adherence to a restrictive antibiotic guideline for the most common infection in emergency departments (EDs), namely community-acquired pneumonia (CAP). This multicenter descriptive cross-sectional study included adults admitted to Danish EDs with a suspected infection. Data were collected prospectively from medical records. We included 954 patients in the analysis. The most prescribed antibiotics were penicillin with beta-lactamase inhibitor at 4 h (307 (32.2%)), 48 h (289 (30.3%)), and day 5 after admission (218 (22.9%)). The empirical antibiotic treatment guidelines for CAP were followed for 126 (31.3%) of the CAP patients. At 4 h, antibiotics were administered intravenously to 244 (60.7%) of the CAP patients. At day 5, 218 (54.4%) received oral antibiotics. Adherence to CAP guidelines was poor. In a country with a restrictive antibiotic policy, infections are commonly treated with broad-spectrum antibiotics against recommendations.

Proportion of Respiratory Syncytial Virus, SARS-CoV-2, Influenza A/B, and Adenovirus Cases via Rapid Tests in the Community during Winter 2023-A Cross Sectional Study.

Respiratory infections constitute a major reason for infants and children seeking medical advice and visiting health facilities, thus remaining a significant public threat with high morbidity and mortality. The predominant viruses causing viral respiratory infections are influenza A and B viruses (Flu-A, Flu-B), respiratory syncytial virus (RSV), adenovirus and coronaviruses. We aimed to record the proportion of RSV, SARS-CoV-2, influenza A/B and adenovirus cases with rapid antigen tests and validate the results with RT-PCR assays of upper respiratory specimens with a wide range of viral loads and (co)-infection patterns in children. Clinical samples were collected from early symptomatic children (presenting with fever and/or cough and/or headache within 5-7 days). The surveillance program was conducted in five private pediatric dispensaries and one pediatric care unit, from 10 January 2023 to 30 March 2023 in central Greece. The total sample of specimens collected was 784 young children and infants, of which 383 (48.8%) were female and 401 were male (51.2%). The mean age of participants was 7.3 + 5.5 years. The sensitivity of the FLU A & B test was 91.15% (95% CI: 84.33-95.67%), and the specificity was 98.96% (95% CI: 97.86-99.58%). The sensitivity and specificity of the adenovirus and RSV test was {92.45% (95% CI: 81.79-97.91%), 99.32% (95% CI: 98.41-99.78%)} and {92.59% (95% CI: 75.71-99.09%), 99.47% (95% CI: 98.65-99.86%)} respectively. Lastly, the sensitivity of the SARS-CoV-2 test was 100.00% (95% CI: 79.41-100.00%) and the specificity was 99.74% (95% CI: 99.06-99.97%). We recorded a proportion of 14.3% and 3.44% for influenza A and B, respectively, followed by a proportion of 6.9% for adenovirus, a proportion of 3.7% for RSV, and finally, a proportion of 2.3% for SARS-CoV-2. The combination of a new multiple rapid test with multiple antigens will probably be a useful tool with a financial impact for health systems targeting the early detection and appropriate treatment of respiratory infections in emergency departments in primary health care facilities.

Helicobacter cinaedi Infections in Emergency Departments: A Descriptive Study.

Helicobacter cinaedi, a Gram-negative spiral bacterium, is a rare cause of bacteremia in humans. Unfortunately, little is known about H. cinaedi infections in emergency departments (EDs). We aimed to describe the clinical features of H. cinaedi infections in the ED. We conducted a descriptive study at the ED of Kobe City General Hospital (KCGH) in Japan between November 2011 and December 2020. We included all ED patients with H. cinaedi infections. We retrospectively obtained the patient data from electronic medical records and described the patient characteristics, clinical course, and management of H. cinaedi infections. A total of 22 patients in the ED were diagnosed with H. cinaedi infections, and all of them were detected through blood cultures. The chief complaints were vague: fever (18/22, 81.8%), chills (10/22, 45.5%), and localized pain or tenderness (8/22, 36.4%). Patients with complicated cases were also reported in the ED; three patients had vertebral osteomyelitis, two had infected aortic aneurysms, and another two had infected cysts (renal cystand pancreatic cyst with concomitant empyema). Tetracycline (minocycline) was primarily prescribed and administered intravenously in five of 15 (33.3%) and orally in nine of 20 (45.0%) patients. Only one (4.5%) patient required surgical interventions. None of the patients died in the hospital. We reported the clinical features of H. cinaedi infections in the ED. Although some patients developed complicated infections, the prognosis was not poor under appropriate treatment, and most of them were successfully treated with antibiotics, primarily tetracycline.

Diseño de un panel de indicadores para programas de optimización del uso de antimicrobianos en los Servicios de Urgencias

ObjectiveTo develop a panel of indicators to monitor antimicrobial stewardship programs activity in the emergency department. MethodsA multidisciplinary group consisting of experts in the management of infection in emergency departments and the implementation of antimicrobial stewardship programs (ASP) evaluated a proposal of indicators using a modified Delphi methodology. In the first round, each expert classified the relevance of each proposed indicators in two dimensions (healthcare impact and ease of implementation) and two attributes (prioritization level and frequency). The second round was conducted based on the modified questionnaire according to the suggestions raised and new indicators suggested. Experts modified the prioritization order and rated the new indicators in the same manner as in the first round. Results61 potential indicators divided into four groups were proposed: consumption indicators, microbiological indicators, process indicators, and outcome indicators. After analyzing the scores and comments from the first round, 31 indicators were classified as high priority, 25 as intermediate priority, and 5 as low priority. Moreover, 18 new indicators were generated. Following the second round, all 61 initially proposed indicators were retained, and 18 new indicators were incorporated: 11 classified as high priority, 3 as intermediate priority, and 4 as low priority. ConclusionsThe experts agreed on a panel of ASP indicators adapted to the emergency services prioritized by level of relevance. This is as a helpful tool for the development of these programs and will contribute to monitoring the appropriateness of the use of antimicrobials in these units.

Prognostic Role of Serum Albumin in Predicting 30-Day Mortality in Patients with Infections in Emergency Department: A Prospective Study.

Infections in emergency departments (EDs) are insidious clinical conditions characterised by high rates of hospitalisation and mortality in the short-to-medium term. The serum albumin, recently demonstrated as a prognostic biomarker in septic patients in intensive care units, could be an early marker of severity upon arrival of infected patients in the ED. To confirm the possible prognostic role of the albumin concentration recorded upon arrival of patients with infection. A prospective single-centre study was performed in the ED of the General Hospital of Merano, Italy, between 1 January 2021 and 31 December 2021. All enrolled patients with infection were tested for serum albumin concentration. The primary outcome measure was 30-day mortality. The predictive role of albumin was assessed by logistic regression and decision tree analysis adjusted for Charlson comorbidity index, national early warning score, and sequential organ failure assessment (SOFA) score. 962 patients with confirmed infection were enrolled. The median SOFA score was 1 (0-3) and the mean serum albumin level was 3.7 g/dL (SD 0.6). Moreover, 8.9% (86/962) of patients died within 30 days. Albumin was an independent risk factor for 30-day mortality with an adjusted hazard ratio of 3.767 (95% CI 2.192-6.437), p < 0.001. Decision tree analysis indicated that at low SOFA scores, albumin had a good predictive ability, indicating a progressive mortality risk reduction in concentrations above 2.75 g/dL (5.2%) and 3.52 g/dL (2%). Serum albumin levels at ED admission are predictive of 30-day mortality in infected patients, showing better predictive abilities in patients with low-to-medium SOFA scores.

Ability of qSOFA1-lactate to predict 30-day mortality in patients seen for infection in the Emergency Department

To evaluate lactate and the Quick Sepsis-Related Organ Failure Assessment (qSOFA) and compare their ability to predict 30-day mortality in patients treated for infection in emergency departments (ED). Prospective multicenter observational cohort study. We enrolled a convenience sample of patients aged 18 years or older attended in 71 Spanish ED from October 1, 2019, to March 31, 2020. Each model's predictive power was analyzed with the area under the receiver operating characteristic curve (AUC), and its values of sensitivity (Se), specificity (Sp), positive predictive value (PPV) and negative (NPV). A total of 4439 patients with a mean (SD) age of 18 years were studied; 2648 (59.7%) were men and 459 (10.3%) died within 30 days. For 30-day mortality, the AUC-COR obtained with the qSOFA = 1 model plus 2 mmol/l lactate was 0.66 (95% CI, 0.63-0.69) with Se: 68%, Es: 70% and NPV:92%, while qSOFA = 1 obtained AUC-COR of 0.52 (95% CI, 0.49-0.55) with a Se:42%, Es:64% and NPV:90%. To predict 30-day mortality in patients presenting to the ED due to an episode of infection, the qSOFA =1 + lactate≥2 mmol/L model significantly improves the predictive power achieved individually by qSOFA1 and becomes very similar to qSOFA≥2.

Managing infection prevention and control in the emergency care setting: an overview for emergency nurses.

The control and prevention of infection in emergency departments (EDs) remains challenging because of the complexity of the environment and the consistently high attendance in many EDs. Emergency nurses play an essential role in infection prevention and control in this clinical area. The COVID-19 pandemic has refocused the need for emergency nurses to have a good knowledge and understanding of infection control processes and the clinical skills to protect themselves and patients alike. This article provides an overview of UK epidemiological perspectives, the main pathogens associated with healthcare infections, the importance of reducing pathogen transmission and the emergency nurse's role in antibiotic stewardship.

Clinical Characteristics and Management of Patients with a Suspected COVID-19 Infection in Emergency Departments: A European Retrospective Multicenter Study.

Background: Our aim is to describe and compare the profile and outcome of patients attending the ED with a confirmed COVID-19 infection with patients with a suspected COVID-19 infection. Methods: We conducted a multicentric retrospective study including adults who were seen in 21 European emergency departments (ED) with suspected COVID-19 between 9 March and 8 April 2020. Patients with either a clinical suspicion of COVID-19 or confirmed COVID-19, detected using either a RT-PCR or a chest CT scan, formed the C+ group. Patients with non-confirmed COVID-19 (C− group) were defined as patients with a clinical presentation in the ED suggestive of COVID-19, but if tests were performed, they showed a negative RT-PCR and/or a negative chest CT scan. Results: A total of 7432 patients were included in the analysis: 1764 (23.7%) in the C+ group and 5668 (76.3%) in the C− group. The population was older (63.8 y.o. ±17.5 vs. 51.8 y.o. +/− 21.1, p < 0.01), with more males (54.6% vs. 46.1%, p < 0.01) in the C+ group. Patients in the C+ group had more chronic diseases. Half of the patients (n = 998, 56.6%) in the C+ group needed oxygen, compared to only 15% in the C− group (n = 877). Two-thirds of patients from the C+ group were hospitalized in ward (n = 1128, 63.9%), whereas two-thirds of patients in the C− group were discharged after their ED visit (n = 3883, 68.5%). Conclusion: Our study was the first in Europe to examine the emergency department’s perspective on the management of patients with a suspected COVID-19 infection. We showed an overall more critical clinical situation group of patients with a confirmed COVID-19 infection.

Developing and validating clinical features-based machine learning algorithms to predict influenza infection in influenza-like illness patients

BackgroundSeasonal influenza poses a significant risk, and patients can benefit from early diagnosis and treatment. However, underdiagnosis and undertreatment remain widespread. We developed and compared clinical feature-based machine learning (ML) algorithms that can accurately predict influenza infection in emergency departments (EDs) among patients with influenza-like illness (ILI). Material and methodsWe conducted a prospective cohort study in five EDs in the US and Taiwan from 2015 to 2020. Adult patients visiting the EDs with symptoms of ILI were recruited and tested by real-time RT-PCR for influenza. We evaluated seven ML algorithms and compared their results with previously developed clinical prediction models. ResultsOut of the 2189 enrolled patients, 1104 tested positive for influenza. The eXtreme Gradient Boosting achieved superior performance with an area under the receiver operating characteristic curve of 0.82 (95% confidence interval [CI] = 0.79–0.85), with a sensitivity of 0.92 (95% CI = 0.88–0.95), specificity of 0.89 (95% CI = 0.86–0.92), and accuracy of 0.72 (95% CI = 0.69–0.76) in the testing set over cut-offs of 0.4, 0.6 and 0.5, respectively. These results were superior to those of previously proposed clinical prediction models. The model interpretation revealed that body temperature, cough, rhinorrhea, and exposure history were positively associated with and the days of illness and influenza vaccine were negatively associated with influenza infection. We also found the week of the influenza season, pulse rate, and oxygen saturation to be associated with influenza infection. ConclusionsThe clinical feature-based ML model outperformed conventional models for predicting influenza infection.

Using neutrophil to lymphocyte ratio to predict discharge among geriatric patients with influenza infection in emergency department.

The neutrophil-to-lymphocyte ratio (NLR) is used to predict the prognosis of various diseases, such as coronavirus disease 2019, community-acquired pneumonia, bacteremia, and endocarditis. However, NLR has never been reported to predict patient discharge in geriatric patients with influenza infection. This retrospective case-control study enrolled geriatric patients (≥65 years) with influenza virus infection who visited the emergency department of a medical center between January 01, 2010 and December 31, 2015. Demographic data, vital signs, past histories, influenza subtypes, outcomes, and disposition were analyzed. The optimal NLR cut-off value to predict patient discharge was determined using the Youden index. We also evaluated the accuracy of NLR in predicting patient discharge using logistic regression and receiver operating characteristic analysis. The study included 409 geriatric patients in the emergency department with a mean age of 79.5 years and an approximately equal sex ratio. NLR was significantly lower in the discharged group than in the nondischarged group (5.8 ± 3.7 vs 9.7 ± 8.4). Logistic regression revealed that patients with NLR ≤ 6.5 predicted discharge with an odds ratio of 3.62. The Hosmer–Lemeshow goodness-of-fit test was calculated as 0.36, and the adjusted area under the receiver operating characteristic was 0.75. The negative predictive value of NLR ≤ 6.5, to predict patient discharge, was 91.8%. NLR ≤ 6.5 is a simple and easy-to-obtain laboratory tool to guide the physicians to discharge geriatric patients with influenza infection in the crowded emergency department.

Incidence of acute diverticulitis compared to appendicitis in emergency wards: a 10-year nationwide register and cohort study from Finland

Background The two most common abdominal infections in emergency departments (ED) are acute appendicitis (AA) and sigmoid diverticulitis (AD). The frequency of ED visits for diverticulitis has increased strongly in many countries during recent decades. The aim of this study was to analyze the nationwide changes in AD rate requiring hospital admission compared to AA during a 10-year study period. Methods Register data of AD and AA in the whole of Finland were obtained between the years 2009 and 2018. Changes in the incidence and surgical treatment of AD in the whole country were compared to those of AA. Patient demographics and treatment of AD were analyzed in greater detail from a smaller cohort (n = 614). Results The incidence of AD increased from 262 to 413 cases (58%) per 100,000 inhabitants during 10 years and emergency surgery for AD decreased from 27 to 24 cases per 100,000 (11%). The incidence of AA remained stable and varied from 118 to 124 annual cases per 100,000 inhabitants. In a patient cohort of AD (n = 614), most of the patients (68%) had only one episode of diverticulitis during 10 years; 16% were operated urgently, with a mortality of 8%. Disease-specific mortality increased from 0% to 5.7% along with patient age when comparing the age groups <50 years and > 70 years, respectively. Conclusions Our study indicates that the incidence of acute diverticulitis is still increasing and is now 2–3 times higher than that of appendicitis in emergency departments.

Time to evaluate decision support systems for antimicrobial prescribing outside the hospital

Time to evaluate decision support systems for antimicrobial prescribing outside the hospital

Diagnostic Performance of the Rapid Antigen Test as a Screening Tool for SARS-CoV-2 Infection in the Emergency Department.

The rapid antigen test (RAT) has been adopted as a screening tool for SARS-CoV-2 infection in many emergency departments (EDs). We aimed to investigate the diagnostic value of the accuracy of the SARS-CoV-2 RAT as a screening tool in the ED. This retrospective observational study included patients who underwent both RAT and RT–PCR and visited the ED from 1 December 2021 to 15 March 2022. RAT and RT–PCR were performed by appropriately trained physicians. We performed detailed analyses using the E gene cyclic threshold (Ct) values of RT–PCR. Out of a total of 1875 patients, 348 (18.6%) had positive and 1527 (81.4%) had negative RT–PCR results. The overall sensitivity, specificity, positive predictive value, and negative predictive value of the RAT were 67.8%, 99.9%, 99.6%, and 93.2%, respectively. The E gene Ct value was significantly lower in the RAT-positive patients than in the RAT-negative patients (18.5 vs. 25.3, p < 0.001). When the E gene Ct cutoff was 30.0, 25.0, 20.0, and 15.0, the sensitivity of the RAT was 71.9%, 80.3%, 93.0%, and 97.8%, respectively. The sensitivity of the RAT could be considered high in patients with a high viral load, and the RAT could be used as a screening tool in the ED.

Detection of E. Coli Bacteria in Urinary Tract Infection in Emergency Department at Alimmam Al-Sadiq Hospital: Hilla \ Iraq

Background: Urinary tract infection (UTIS) is a common microbial infection in community and in all age groups. are alarming worldwide. Therefore, this study aims to detection antibiotics resistance of Escherichia coli (E. coli) bacteria responsible for UTIS Methods: Retrospective chart review for patients admitted to emergency department and diagnosed with UTIS at Al-immam Al-SAdiq Hospital between February to April 2021 was performed. Antimicrobial susceptibility to ampicillin, augmentin (amoxicillin/clavulanate), cefazolin, co-trimoxazole (sulfamethoxazole/trimethoprim), ciprofloxacin, and nitrofurantoin, and cefpodoxime was determined for 101 E. coli urinary isolates. Results: Escherichia coli was the most bacteria causing UTIS representing 93.55, 60.24, and 45.83% of all bacteria isolated from urine culture of pediatric, adult, and elderly, respectively. High rates of resistance to ampicillin (82.76, 58, and 63.64%) and co-trimoxazole (51.72, 42, and 59.09%), among E. coli isolated from pediatric, adult and elderly respectively. Nitrofurantoin was the most active agent, followed by ciprofloxacin, augmentin and cefazolin. 22.77% of E. coli isolates exhibited multiple drug resistance (MDR). Among 66 and 49 isolates resistant to ampicillin and co-trimoxazole, respectively, 34.84 and 42.85% were MDR. In contrast, all isolates resistant to augmentin and nitrofurantoin were MRD, while 72.7 and 82.4% of isolates resistant to ciprofloxacin and cefazolin were MDR. Conclusions: High resistance was observed to ampicillin and co-trimoxazole which commonly used as empirical treatments for UTIS, limiting their clinical use. This necessitates continuous surveillance for resistance pattern of uropathogens against antibiotics. Keywords: Antibiotics sensitivity , E. coli bacteria , UTIS.