Emergency Department Admission Research Articles

Acute kidney injury and COVID-19: the predictive power of BUN/albumin ratio for renal replacement therapy requirement.

To investigate the predictive power of the BUN/albumin ratio (BAR) measured in the emergency department (ED) for the requirement of renal replacement therapy (RRT) in patients admitted to the intensive care unit (ICU) with severe COVID-19 pneumonia and acute kidney injury (AKI). The study included 117 patients with AKI who were admitted to the ICU and had COVID-19 pneumonia detected on chest computed tomography (CT) taken in the ED's pandemic area between November 1, 2020, and June 1, 2021. The predictive power of laboratory values measured at the time of ED admission for the requirement of RRT was analyzed. Of the patients, 59.8% (n = 70) were male, with an average age of 71.7 ± 14.8years. The mortality rate of the study was 35% (n = 41). During follow-up, 23.9% (n = 28) of the patients required RRT. Laboratory parameters measured at the time of ED admission showed that patients who required RRT had significantly higher BAR, BUN, and creatinine levels, and significantly lower albumin levels (all p < 0.001). ROC analysis to determine the predictive characteristics for RRT requirement revealed that the BAR had the highest AUC value (AUC, 0.885; 95% CI 0.825-0.945; p < 0.001). According to the study data, for BAR, a cut-off value of 1.7 resulted in a sensitivity of 96.4% and a specificity of 71.9%. In patients with severe pneumonia who develop acute kidney injury, the BUN/albumin ratio may guide clinicians early in predicting the need for renal replacement therapy.

AEGIS-AcutE Geriatric Intervention Study: pilot study of frontline acute geriatric assessment to improve quality of care in emergency department.

Due to the increasing number of older patients in emergency departments (EDs) with frailty, cognitive impairment and multimorbidity, there is a need for geriatric expertise in EDs. This retrospective study is of older patients visiting Turku University Hospital ED between 2 January and 31 December 2022. Patients aged 75years of older were screened for frailty using Triage Risk Screening Tool (TRST) and Clinical Frailty Scale (CFS). Nonacute, frail patients (CFS ≥4) suitable for Targeted Geriatric Assessment (TGA) (n = 1096) were scanned for the risk of delirium, cognitive impairment, change in functional status, falls, malnutrition and depression. A comprehensive patient record was made with recommendations for future care. TRST was completed in 70% of the ED visits, and two-thirds of those were considered high-risk. Among the patients assessed by the geriatric team (TGA), nonspecific complaint (38%) and falls (35%) were the main reasons for ED admission. Cognitive impairment was present in over 60% and orthostatic hypotension in 40% of the patients. The 72-hour revisit rate for TGA-patients was 2.3%. For the real-life control group, the 72-hour revisit rate was 4.6% (P = .001). Thirty-day revisit rates were 10% and 16%, respectively (P < .001). The need for rehabilitation, cognitive evaluation and intensifying home care were the main recommendations for future care. TGA approach provides structured and accurate information on older patients' background. This may lead to more precise diagnostics, a thorough consideration of hospital intake and a secure discharge from the ED. Ensuring continuity of care may help to reduce readmissions to EDs.

Reduced Time to Admit Emergency Department Patients to Inpatient Beds Using Outflow Barrier Analysis and Process Improvement.

Because admitted emergency department (ED) patients waiting for an inpatient bed contribute to dangerous ED crowding, we conducted a patient flow investigation to discover and solve outflow delays. After solution implementation, we measured whether the time admitted ED patients waited to leave the ED was reduced. In June 2022, a team using Lean Healthcare methodologies identified flow delays and underlying barriers in a Midwest, mid-sized hospital. We calculated barriers' magnitudes of burden by the frequency of involvement in delays. During October-December 2022, solutions targeting barriers were implemented. In October 2023, we tested whether waiting time, defined as daily median time in minutes from admission disposition to departure (ADtoD), declined by conducting independent sample, single-tailed t-test comparing pre- to post-intervention time periods, January 1-September 30, 2022 (273 days) to January 1-September 30, 2023 (273 days). Additionally, we regressed ADtoD onto pre-/post period while controlling for ED volume (total daily admissions and ED daily encounters) and hospital occupancy. A run chart analysis of monthly median ADtoD assessed improvement sustainability. Process mapping revealed that three departments (ED, environmental services [EVS], and transport services) co-produced the outflow of admitted ED patients wherein 18 delays were identified. The EVS-clinical care collaboration failures explained 61% (11/18) of delays. Technology contributed to 78% (14/18) of delays primarily because staff's technology did not display needed information, a condition we coined "digital blindness." Comparing pre- and post-intervention days (3,144 patients admitted pre-intervention and 3,256 patients post), the median minutes a patient waited (ADtoD) significantly decreased (96.4 to 87.1 minutes, P = 0.04), even while daily ED encounter volume significantly increased (110.7 to 117.3 encounters per day, P < 0.001). After controlling in regression for other factors associated with waiting, the intervention reduced ADtoD by 12.7 minutes per patient (standard error 5.10, P = 0.01; 95% confidence interval -22.7, -2.7). We estimate that the intervention translated to ED staff avoiding 689 hours of admitted patient boarding over nine months (ADtoD coefficient [-12.7 minutes] multiplied by post-intervention ED admissions [3,256] and divided by 60). Run chart analysis substantiated the intervention's sustainability over nine months. After systemwide patient flow investigation, solutions resolving digital blindness and environmental services-clinical care collaboration failures significantly reduced ED admitted patient boarding.

Clinical outcomes in patients with mild to moderate coronavirus disease 2019 treated with monoclonal antibody therapy versus an untreated control cohort.

Monoclonal antibody therapy (MAT) received Food and Drug Administration (FDA) Emergency Use Authorization (EUA) for mild to moderate COVID-19 treatment in adults at a high-risk for progression to severe disease in November 2020. This study assessed the impact of MAT on clinical outcomes. We conducted a single-center, retrospective study comparing 30-day COVID-19-related emergency department (ED) visits, admissions, and mortality in patients receiving MAT (bamlanivimab, bamlanivimab-etesevimab, or casirivimab-imdevimab) between 16 November 2020 and 19 June 2021, compared to a control group of high-risk adults diagnosed with mild to moderate COVID-19 prior to MAT availability between 16 May 2020 and 15 November 2020. Statistical analysis used logistic regression analysis with backward selection to determine the odds ratios and 95% confidence interval evaluating the relationship between clinical characteristics and outcomes. 1187 patients who received MAT were compared to 1103 patients not treated with MAT. Multivariable regression model adjusted for possible confounders showed patients who received MAT had lower rates of ED visits (3.2% vs 7.4%, OR = 0.46, 95% CI = 0.31-0.70, p < .001) and hospital admissions (4.3% vs 7.8%, OR = 0.42, 95% CI = 0.29-0.62, p < .001) compared to the control group. After adjusting for confounders, MAT was associated with decreased mortality (OR = 0.36, p = .035). In the MAT group, those treated within 2 days of COVID-19 diagnosis had lower mortality than those treated more than 2 days post-diagnosis (unadjusted OR = 0.152, 95% CI = 0.031-0.734, p = .019). Individuals treated with MAT had lower rates of 30-day COVID-19-related ED visits and hospital admissions compared to those not receiving MAT. Early MAT resulted in lower 30-day mortality compared to receipt >2 days post COVID-19 diagnosis.

Training and provision of mobility aids to promote autonomy and mobility of older patients in a geriatric emergency department: A protocol for a randomized controlled trial.

Older adults have higher rates of emergency department (ED) admissions when compared to their younger counterparts. Mobility is the ability to move around, but also encompasses the environment and the ability to adapt to it. Walking aids can be used to improve mobility and prevent falls. According to international guidelines, they must be available in Geriatric EDs. This study aims to evaluate the efficacy of a program of training and provision of walking aids (WA), associated or not with telemonitoring, on fear of falling, mobility, quality of life and risk of falls up to 3 and 6 months in older adults cared for in an ED. A randomized controlled trial will be carried out in the ED. Participants will be randomized and allocated into three groups, as follows: A) walking aid group will be trained for the use of a walking aid and receive guidance on safe gait; B) walking aid and telemonitoring group will receive training for the use of a walking aid, guidance on safe gait, and telemonitoring (every two weeks for first three months); C) Control group will receive only guidance on safe gait. Patients will undergo a baseline evaluation encompassing sociodemographic and clinical data, mobility in life spaces, gait speed, muscle strength, functionality, quality of life, fear of falling, history of falls, cognition and mood before the intervention. Gait time and fear of falling will be assessed again after the intervention in ED. Finally, mobility in life spaces, functionality, quality of life, fear of falling, history of falls, cognition, and mood will be assessed 3 and 6 months after discharge from the geriatric ED through a telephone interview. Provision of walking aids in the geriatric ED is currently recommended. This study will be the first randomized controlled trial that will evaluate the impact of training and provision of these devices in the ED. Trial registration number: NCT05950269.

Hospital design planning: unscheduled trauma ER visits impacting inpatient space allocation

ABSTRACT Medical healthcare planners need to align outpatient and inpatient design factors that affect hospital space allocation. The Emergency Departments (ED) design must be congruent with the inpatient platform design to limit bottlenecking of patient admissions. However, limited research deciphers the impact of unscheduled ED admissions and the effects on inpatient bed capacity to ensure facility capability. The current study utilizes a case study by comparing the use of space planning criteria of the Department of Defense (DoD) with similar Private healthcare organization departmental metrics to inform space allocation. This study established the significance of unscheduled ED visits metric on inpatient space allocation. Bed capacity was calculated by outlining specific metrics; namely: population at risk, Average Daily Patient Load (ADPL), Average Length of Stay (ALOS), Average Annual Workload, Annual Admissions, and Occupancy Rate that are necessary for the right-sized inpatient hospital designs with a trauma mission. By analyzing existing research, identifying key metrics, highlighting capacity gaps, and showcasing real-world impacts via a case study pilot model. Valuable insights and benefits allow medical planners and administrators to assess and incorporate unscheduled visits as a key factor that influences appropriate hospital facility sizing and resource allocation.

Mid-term outcomes of a smoking cessation program in hospitalized patients in Türkiye.

'Teachable moments', such as inpatient treatment periods, can be turned into opportunities for smokers to acquire healthy living behaviors. This study was conducted to evaluate the outcomes of smoking cessation interventions in an inpatient hospital setting. Data were collected for this single-arm prospective intervention cohort study between October 2021 and March 2022 from hospitalized patients at Recep Tayyip Erdoğan University Training and Research Hospital in Türkiye. Smoker patients received smoking cessation counseling and brief smoking cessation interventions during their hospitalization and were informed about how to apply to our hospital's smoking cessation outpatient clinic after discharge. They were followed via phone on the 3rd, 5th, and 7th day and the 1st, 3rd, 6th, and 12th month after their discharge, regarding their quit status as well as admissions to smoking cessation clinics. Quitters were confirmed by exhaled air carbon monoxide testing. Logistic regression analysis was performed to evaluate the presence of admission to the emergency department and family physicians at follow-up at 1st year. The model was adjusted in terms of age, sex, presence of malignancy, and education level. Of the 183 patients included in the study, 163 participants completed periodic follow-up during one year, with quit rate of 47.2%. The rate of anxiety was higher among non-quitters compared to quitters (9.4% vs 1.2%) (p=0.024). Non-quitters were 19 times more likely to have emergency department admissions (AOR=19.64; 95% CI: 8.08-47.68) and eight times more likely to have family doctor visits (AOR=8.43; 95% CI: 4.05-17.53) than quitters. This cessation program evaluated the quit rates of hospitalized patients in the first year and revealed that the rate of anxiety was higher in non-quitters compared to quitters. It would be an important approach to include psychiatric support in this practice.

High-flow nasal cannula and in-line aerosolised bronchodilator delivery during severe exacerbation of asthma in adults: a feasibility observational study

BackgroundAsthma is a common chronic respiratory disease affecting 1–29% of the population in different countries. Exacerbations represent a change in symptoms and lung function from the patient's usual condition that requires emergency department (ED) admission. Recently, the use of a High-Flow Nasal Cannula (HFNC) plus an in-line vibrating mesh nebulizer (VMN) for aerosol drug delivery has been advocated in clinical practice. Thus, this pilot observational study aims to investigate the feasibility of HFNC treatment with VMN for in-line bronchodilator delivery in patients with severe asthma. MethodsThis study was conducted from May 2022 to May 2023. Subjects ≥18 years old with a previous diagnosis of asthma who were admitted to the ED during severe exacerbation were included. The primary endpoint was the change in peak expiratory flow ratio (PEFR) after 2-h of treatment with bronchodilator delivered by HFNC with in-line VMN. Additional outcomes were changes in forced expiratory volume in 1 s (FEV1) and clinical variables before treatment. Results30 patients, mean age of 43 (SD ± 16) years, mostly female (67%) were studied. A significant change in PEFR (147 ± 31 L/m vs. 220 ± 38 L/m; p < 0.001) was observed after treatment with HFNC and in-line VMN with significant improvement in clinical variables. And no subjects required invasive mechanical ventilation (IMV) during the study. ConclusionsHFNC treatment with in-line VMN for bronchodilator delivery appears feasible and safe for patients with severe asthma exacerbation. These preliminary promising results should be confirmed with appropriately large-designed studies.

Early Detection of Pulmonary Embolism in a General Patient Population Immediately Upon Hospital Admission Using Machine Learning to Identify New, Unidentified Risk Factors: Model Development Study.

Under- or late identification of pulmonary embolism (PE)-a thrombosis of 1 or more pulmonary arteries that seriously threatens patients' lives-is a major challenge confronting modern medicine. We aimed to establish accurate and informative machine learning (ML) models to identify patients at high risk for PE as they are admitted to the hospital, before their initial clinical checkup, by using only the information in their medical records. We collected demographics, comorbidities, and medications data for 2568 patients with PE and 52,598 control patients. We focused on data available prior to emergency department admission, as these are the most universally accessible data. We trained an ML random forest algorithm to detect PE at the earliest possible time during a patient's hospitalization-at the time of his or her admission. We developed and applied 2 ML-based methods specifically to address the data imbalance between PE and non-PE patients, which causes misdiagnosis of PE. The resulting models predicted PE based on age, sex, BMI, past clinical PE events, chronic lung disease, past thrombotic events, and usage of anticoagulants, obtaining an 80% geometric mean value for the PE and non-PE classification accuracies. Although on hospital admission only 4% (1942/46,639) of the patients had a diagnosis of PE, we identified 2 clustering schemes comprising subgroups with more than 61% (705/1120 in clustering scheme 1; 427/701 and 340/549 in clustering scheme 2) positive patients for PE. One subgroup in the first clustering scheme included 36% (705/1942) of all patients with PE who were characterized by a definite past PE diagnosis, a 6-fold higher prevalence of deep vein thrombosis, and a 3-fold higher prevalence of pneumonia, compared with patients of the other subgroups in this scheme. In the second clustering scheme, 2 subgroups (1 of only men and 1 of only women) included patients who all had a past PE diagnosis and a relatively high prevalence of pneumonia, and a third subgroup included only those patients with a past diagnosis of pneumonia. This study established an ML tool for early diagnosis of PE almost immediately upon hospital admission. Despite the highly imbalanced scenario undermining accurate PE prediction and using information available only from the patient's medical history, our models were both accurate and informative, enabling the identification of patients already at high risk for PE upon hospital admission, even before the initial clinical checkup was performed. The fact that we did not restrict our patients to those at high risk for PE according to previously published scales (eg, Wells or revised Genova scores) enabled us to accurately assess the application of ML on raw medical data and identify new, previously unidentified risk factors for PE, such as previous pulmonary disease, in general populations.

Appendicectomy pathway: Insights from electronic medical records of a local health district in Australia

BackgroundThis study aims to identify the common pathways of appendicectomy, the most common emergency surgery in Australia’s public hospitals and any variations within a regional public health district in New South Wales, Australia. MethodsWe analyzed the electronic medical records of 3,943 patients who underwent appendicectomy between January 2014 and July 2020 at 2 hospitals in the Illawarra Shoalhaven Local Health District, New South Wales, Australia, using the PM2 approach for surgical pathway identification and subsequent statistical analyses. ResultsAmong 3,943 patients, 3,606 (91.5%) followed an 11-step main pathway: (1) emergency department admission, (2) surgery booking, (3) anesthesia start, (4) operating room entry, (5) surgery start, (6) surgery end, (7) anesthesia end, (8) operating room discharge, (9) postanesthesia care unit admission, (10) postanesthesia care unit discharge, and (11) hospital discharge. The median length of stay was 48.13 hours (interquartile range 32.74). The main pathway differed from either variation 1 (n = 246, 6.2%) or variation 2 (n = 30, 0.8%) only in the timing and location of anesthesia administration or conclusion. Variation 3 (n = 26, 0.7%) included patients who underwent appendicectomy twice, whereas variation 4 (n = 25, 0.6%) included patients booked for surgery before emergency department admission through community doctor referrals. Thirteen exceptional cases experienced combinations of the aforementioned pathways. The length of stay and phase durations varied between the main pathway and these variations. ConclusionThe appendicectomy pathway was largely standardized across the studied hospitals, with the location of anesthesia administration or conclusion affecting specific stages but not the overall length of stay. Only a complex 2-surgery pathway increased length of stay.

The problem of unconscious and unidentified patients in emergency department admissions; a 3-year retrospective study.

Unidentified patients present a medical information dilemma for all medical departments but can be a major problem in Emergency Departments (EDs). This study aimed to determine the clinical and socio-demographic profile of 'unidentified' patients admitted to the ED with altered consciousness and to define the outcomes of these patients. All ED presentations were analyzed retrospectively for the unidentified patients brought to the hospital by ambulance with altered consciousness. We assessed demographic data, clinical presentation, discharge information, and major clinical outcomes. In this study, 1324 unidentified patients were admitted with altered consciousness to the ED. Of these, 1048 (80.1%) were foreign nationals. In this patient group, the most common diagnoses were; traffic accidents, assault or sharp object injuries, drug addicts, or syncope-epilepsy. In addition, the number of patients who left the hospital without permission or escaped and therefore could not be diagnosed was higher in the foreign nationalities group and constituted approximately one-fifth of the patients (18.9% vs. 5.4%, p:0.001). Of the unidentified patients, 903 (68.2%) were discharged after treatment. 351 (26.5%) patients left the ED unattended. 32 (2.4%) patients were hospitalized. 38 (2.9%) patients died in ED. The majority of the unidentified patients admitted to the ED with altered consciousness were immigrant males. Unidentified patients are a high-need population, most commonly presenting with substance misuse or trauma. Although most of the patients were seeking urgent treatment, more than one-fourth of the patients left the hospital without appropriate treatment and most of these patients were also immigrants. We believe that economic, linguistic, and social disadvantages played an important role in this outcome.

Evaluating the Sysmex DI-60 Integrated Slide Processing System's impact on hematology differential turnaround times and patient care: Real-world implementation experience in a large Veterans Affairs hospital.

This quality improvement study conducted at the Kansas City VA Medical Center in Kansas City, Missouri, investigated the Sysmex DI-60 Integrated Slide Processing System's ability to improve hematology turnaround times when integrated into daily practices. It further addressed potential patient care factors associated with changes in turnaround times. Three months of manual and Sysmex DI-60 patient data were examined between May 2022 and February 2023. White blood cell (WBC) ranges, turnaround times, working hours, and study months were analyzed using 2-tailed unpaired t testing and percentage change. The number of specimens in these categories was further analyzed using 2-tailed, 2-sample proportion testing. This quality improvement study indicated that the Sysmex DI-60 system produced a statisitcallysignificant reduction in turnaround times overall and for various ranges of WBCs plus work shifts. The most statisticallysignificant improvement in turnaround times occurred for WBC concentrations less than 2.0×103/µL and concentrations within the reference range. In addition, the off shifts experienced a notable improvement in turnaround times. The Sysmex DI-60 system substantially decreases turnaround times for differentials, thus potentially benefiting patient care by providing prompt results. It is possible that reducing turnaround times could expedite emergency department admissions and discharges as well as enhance care for the oncology department's patients. It could also lead to more timely results for patients with false-positive flags by the Sysmex analyzer, which may also help with clinician decision-making.

The application of health information technology for the elderly care in the emergency department: a conceptual model

IntroductionIn the emergency departments (EDs), usually the longest waiting time for treatment and discharge belongs to the elderly patients. Moreover, the number of the ED admissions for the elderly increases every year. It seems that the use of health information technology in geriatric emergency departments can help to reduce the burden of the healthcare services for this group of patients. This research aimed to develop a conceptual model for using health information technology in the geriatric emergency department.MethodsThis study was conducted in 2021. The initial conceptual model was designed based on the findings derived from the previous research phases (literature review and interview with the experts). Then, the model was examined by an expert panel (n = 7). Finally, using the Delphi technique (two rounds), the components of the conceptual model were reviewed and finalized. To collect data, a questionnaire was used, and data were analyzed using descriptive statistics.ResultsThe common information technologies appropriate for the elderly care in the emergency departments included emergency department information system, clinical decision support system, electronic health records, telemedicine, personal health records, electronic questionnaires for screening, and other technologies such as picture archiving and communication systems (PACS), electronic vital sign monitoring systems, etc. The participants approved all of the proposed systems and their applications in the geriatric emergency departments.ConclusionThe proposed model can help to design and implement the most useful information systems in the geriatric emergency departments. As the application of technology accelerates care processes, investing in this field would help to support the care plans for the elderly and improve quality of care services. Further research is recommended to investigate the efficiency and effectiveness of using these technologies in the EDs.

COVID-19 Inpatient Caseloads in General Hospitals Did Not Affect Quality Indicator Compliance Rates in Israel.

Early in the global COVID-19 pandemic, a concern was raised that potentially high volumes of COVID-19 inpatients in general hospitals might compromise the hospitals' capabilities to maintain high-quality care for routine patients and, thereby, to comply with indicators specifying quality of care. The objective of this study is to evaluate the impact of the surges of COVID-19 inpatients into general hospitals in Israel on the compliance rates for selected quality indicators reported by these hospitals within the Israeli National Program for Quality Indicators (NPQI). Compliance rate data were collected from the quality indicators reports made to the NPQI by participating hospitals. COVID-19 inpatient volume data were obtained from the Ministry of Health Digital Technologies and Data Division. Both datasets were analyzed on a week-by-week basis and plotted one alongside the other on a time scale. Association of each quality indicator's compliance rate with the number of COVID-19 inpatients was tested by Pearson's correlation analysis. The study included data from July 1, 2019 through June 30, 2022, spanning the duration of the COVID-19 pandemic in Israel. Five quality indicators included in the study were: Surgical repair of femoral neck fracture within 48h of admission; Assessment of cerebral ischemic event risk for patients with atrial fibrillation; Duplex carotid ultrasound within 72h of emergency department admission for patients with suspected transient ischemic attack; Antibiotic prophylaxis for caesarean sections; and Percutaneous coronary intervention within 90min for patients presenting with ST-elevation myocardial infarction. Compliance rates for five quality indicators, representing different aspects of routine health care, remained steady - even at times with high volumes of COVID-19 inpatients in general hospitals. This lack of effect was prominent throughout the analyzed period, i.e., general hospitals maintained similar compliance rates for all quality indicators both during the surges of COVID-19 patients and between these periods. Statistical analysis showed no correlation between the quality indicators' compliance rates and the number of COVID-19 inpatients. Our findings indicate that high volumes of COVID-19 inpatients in general hospitals did not affect the hospitals' capability to comply with routine health care quality indicators. The results of our study imply that general hospitals in Israel were able to withstand the challenges associated with the care of COVID-19 inpatients while preserving high quality of care for routine patients.

Effect of climate on emergency department admissions for renal colic: a comparative analysis of sedentary and non-sedentary lifestyles.

To investigate the impact of climate and seasonal variations on emergency department (ED) admissions for renal colic, while specifically comparing the differences between individuals with sedentary and non-sedentary lifestyles. A retrospective, single center study was conducted. Between the years 2017- 2020, medical records of patients admitted to the ED with renal colic, found to harbor ureteric stones on CT scans, were examined. Data on patients' occupational activities was collected through telephone questionnaires. Patients were categorized into two groups: sedentary and active. Precise weather data was obtained from the Israeli Meteorological Service website. The monthly average daily maximum temperatures were calculated. In the final sample of 560 participants, 285 were in the sedentary group, and 275 were in the active group. The study population consisted of 78.1% males and 21.9% females, with consistent gender ratios in both occupational groups. Prevalence of uric acid stones was higher in the sedentary group (p < 0.05). While there was a slight increase in admissions during the summer, seasonal distribution did not significantly differ among occupational groups. The study found no significant differences in admissions across different temperature ranges. Both groups exhibited a pattern of increased referrals during the summer and reduced referrals in the colder winter months. The baseline data revealed notable differences between the sedentary and active groups, particularly in the prevalence of uric acid stones. Climate factors, including temperature and seasonal variations, had limited impact on ED admissions for renal colic in patients with kidney stones, irrespective of their sedentary or active lifestyles. Both groups exhibited similar admission patterns, with a higher rate of admissions during the summer and a lower rate of admissions during the winter.

Analysis of patients consulted to the neurosurgery clinic from the emergency department and evaluation of mortality

ABSTRACT Objective: To analyze neurosurgical consultations in emergency department admissions, to reveal the characteristics of patients in need of neurosurgery and to analyze mortality in patients. Materials and Methods: The study was conducted retrospectively in the emergency department of a secondary care hospital. All patients consulted to the neurosurgery clinic from the adult emergency department between 01.01.2023-31.12.2023 were evaluated in the study. Demographic data, admission and/or admission complaint, diagnosis, comorbid disease status, anticoagulant use, surgical procedure status, Glasgow Coma Score at the time of arrival to the emergency department, duration of hospitalization and in-hospital mortality status were analyzed. Results: 595 patients were evaluated in the study. 59.5% of the patients were male and the mean age was 45.17±25.77 years. The most common type of admission was general body trauma due to fall (48.9%). The most common diagnosis was isolated lumbar vertebral fracture (15%). Intensive care unit hospitalization, surgical procedures and mortality rates were significantly higher in patients with a lower Glasgow Coma Score at admission (p

Consensus paper on the management of acute isolated vertigo in the emergency department

Acute vertigo is defined as the perception of movement of oneself or the surroundings in the absence of actual motion and it is a frequent cause for emergency department admissions. The utilization of medical resources and the duration of hospital stay for this kind of symptom is high. Furthermore, the efficiency of brain imaging in the acute phase is low, considering the limited sensitivity of both CT and MRI for diagnosing diseases that are the causes of central type of vertigo. Relying on imaging tests can provide false reassurance in the event of negative results or prolong the in-hospital work-up improperly. On the other hand, clinical examinations, notably the assessment of nystagmus’ features, have proven to be highly accurate and efficient when performed by experts. Literature data point out that emergency physicians often do not employ these skills or use them incorrectly. Several clinical algorithms have been introduced in recent years with the aim of enhancing the diagnostic accuracy of emergency physicians when evaluating this specific pathology. Both the ‘HINTS and ‘STANDING’ algorithms have undergone external validation in emergency physician hands, showing good diagnostic accuracy. The objective of this consensus document is to provide scientific evidence supporting the clinical decisions made by physicians assessing adult patients with acute vertigo in the emergency department, particularly in cases without clear associated neurological signs. The document aims to offer a straightforward and multidisciplinary approach. At the same time, it tries to delineate benchmarks for the formulation of local diagnostic and therapeutic pathways, as well as provide a base for the development of training and research initiatives.

Assessment of venous congestion with venous excess ultrasound score in the prognosis of acute heart failure in the emergency department: a prospective study.

In acute decompensated heart failure (HF), systemic venous congestion contributes to patients' symptoms and hospital admissions. The purpose of our study is to determine if venous congestion, examined using the venous excess ultrasound (VExUS) score, predicts HF-related hospitalization and mortality in patients admitted to the emergency department (ED) with acute decompensated HF. Fifty patients admitted for acute HF in ED underwent ultrasound (US) assessment according to the VExUS score within the first 24 and 72 h. All patients were followed up with a telephone call at 30 and 60 days after hospital discharge. On admission, 56% had a VExUS score of 3. After 72 h, 32% had no more signs of congestion at the Doppler VExUS examination (inferior vena cava < 2 cm, VExUS score of 0); a similar percentage still exhibited a VExUS score of 3 despite therapy. Eighty per cent of patients were hospitalized after admission to the ED, while six (15%) died in-hospital; all exhibited a first-assessment VExUS score of 3. No patient with a VExUS score < 3 died during the study. During short-term follow-up, 18 patients were readmitted to the ED for acute decompensated HF. Ninety-four per cent of the readmitted patients had a VExUS score of 3 at the Doppler assessment at the first ED admission. Severe venous congestion, defined as a VExUS score of 3 at the initial assessment of patients with acute decompensated HF, predicts inpatient mortality, HF-related death, and early readmission.

Wide-Awake Local Anesthesia No Tourniquet (WALANT) versus Regional Anesthesia with Tourniquet for Hand Flexor Tendon Repair Surgeries in Adults

Abstract Background Flexor tendon injuries represent a significant percentage of admissions in emergency departments in Egypt. A bloodless surgical field is important to perform a hand surgery. Traditionally, a tourniquet is used for hemostasis, and the standered anesthetic techniques utilized in hand surgery were general anesthesia, intravenous regional anesthesia, or brachial plexus block. Recently the evolving Wide-Awake Local Anesthesia No Tourniquet (WALANT) technique where patient is operated on under local anesthesia and hemostasis is achieved via adrenaline could be a better choice. Aim of this work is to compare the intraoperative pain scores, induction time, operating time, blood loss, postoperative pain scores, and patient satisfaction with WALANT versus supraclavicular brachial plexus block (SC-BPB ) with tourniquet, in patients undergoing flexor tendon repair. Patients and Methods In the current study 52 patients who underwent flexor tendon intervention were divided randomly into two groups, each group consisting of 26 patients. Group A: Patients in this group received WALANT. Group B: Patients in this group received SC-BPB with a tourniquet applied to the arm. Results Intraoperative Wong-Baker Faces scale revealed no statistically significant difference in intraoperative pain scores in both groups, except during injection (p = 0.04). Tourniquet-related pain was reported in 23% of patients of SC-BPB group (p = 0.001). Induction time was significantly shorter in WALANT (p &amp;lt; 0.01) but time needed to obtain sufficient hemostasis is significantly more in WALANT than SC-BPB (p &amp;lt; 0.01) while surgical time was similar in both groups (p = 0.538). Blood loss in spite of being minimal it was statistically significant higher in WALANT (p &amp;lt; 0.01). Conclusion WALANT anesthesia was found to be better alternative to SC-BPB in flexor tendon repair surgeries in adults being more simple technique and no need for special skills or ultrasound device, less time consumed in induction and less injection pain also no tourniquet-related pain, intraoperative active motion of the hand is preserved facilitating surgical technique, better effect on postoperative analgesia and more patient and surgeon satisfaction.

Association Between Social Determinants of Health and Cancer Treatment Delay in an Urban Population.

Delays in oncologic time to treatment initiation (TTI) independently and adversely affect disease-specific mortality. Social Determinants of Health (SDoH) are increasingly recognized as significant contributors to patients' disease management and health outcomes. Our academic center has validated a 10-item SDoH screener, and we elucidated which specific needs may be predictive of delayed TTI. This is a retrospective cohort study at an urban academic center of patients with a SDoH screening and diagnosis of breast, colorectal, endocrine/neuroendocrine, GI, genitourinary, gynecologic, head and neck, hematologic, hepatobiliary, lung, or pancreatic cancer from 2018 to 2022. Variables of interest included household income, tumor stage, and emergency department (ED) or inpatient admission 30 days before diagnosis. Factors associated with delayed TTI ≥45 days were assessed using multivariable logistic regression. Among 2,328 patients (mean [standard deviation] age, 64.0 (12.8) years; 66.6% female), having >1 unmet social need was associated with delayed TTI (odds ratio [OR], 1.68; 95% CI, 1.54 to 1.82). The disparities most associated with delay were legal help, transportation, housing stability, and needing to provide care for others. Those with ED (OR, 0.49; 95% CI, 0.44 to 0.54) or inpatient (OR, 0.54; 95% CI, 0.50 to 0.58) admission 30 days before diagnosis were less likely to experience delay. Delays in oncologic TTI ≥45 days are independently associated with unmet social needs. ED or inpatient admissions before diagnosis increase care coordination, leading to improved TTI. Although limitations included the retrospective nature of the study and self-reporting bias, these findings more precisely identify targets for intervention that may more effectively decrease delay. Patients with SDoH barriers are at higher risk of treatment delay and could especially benefit from legal, transportation, caregiver, and housing assistance.