Patients, families and community members would like emergency department wait time visibility. This would improve patient journeys through emergency medicine. The study objective was to derive, ...internally and externally validate machine learning models to predict emergency patient wait times that are applicable to a wide variety of emergency departments.
Twelve emergency departments provided 3 years of retrospective administrative data from Australia (2017-2019). Descriptive and exploratory analyses were undertaken on the datasets. Statistical and machine learning models were developed to predict wait times at each site and were internally and externally validated. Model performance was tested on COVID-19 period data (January to June 2020).
There were 1 930 609 patient episodes analysed and median site wait times varied from 24 to 54 min. Individual site model prediction median absolute errors varied from±22.6 min (95% CI 22.4 to 22.9) to ±44.0 min (95% CI 43.4 to 44.4). Global model prediction median absolute errors varied from ±33.9 min (95% CI 33.4 to 34.0) to ±43.8 min (95% CI 43.7 to 43.9). Random forest and linear regression models performed the best, rolling average models underestimated wait times. Important variables were triage category, last-k patient average wait time and arrival time. Wait time prediction models are not transferable across hospitals. Models performed well during the COVID-19 lockdown period.
Electronic emergency demographic and flow information can be used to approximate emergency patient wait times. A general model is less accurate if applied without site-specific factors.
To compare sociodemographic factors in patients presenting to the emergency department (ED) with emergent and non-emergent eye-related concerns.
Cross-sectional multicenter study.
60,677 patients ...with eye-related concerns who visited EDs at Bascom Palmer Eye Institute, Wills Eye Hospital, Massachusetts Eye and Ear, and Johns Hopkins Hospital/Wilmer Eye Institute from January 1st, 2019 until December 31st, 2019.
Descriptive statistics were performed using STATA 17.
1) Sociodemographic factors associated with emergent diagnoses, 2) Visit patterns across ED settings (i.e. standard ED vs eye ED), and 3) the most common emergent and non-emergent diagnoses.
A total of 60,677 eye-related ED encounters were included in the study, including 22,434 at Bascom Palmer Eye Institute, 16,124 at Wills Eye Hospital, 15,487 at Massachusetts Eye and Ear, and 6,632 at Johns Hopkins Hospital/Wilmer Eye Institute. Most patients had non-emergent diagnoses (56.7%). Males (OR 1.85, 95% CI 1.79-1.92) were more likely to have an emergent diagnosis than females. Patients with private/employer-based insurance (OR 0.88, 95% CI 0.81-0.96), Medicare (OR 0.80, 95% CI 0.72-0.87), and Medicaid (OR 0.81, 95% CI 0.74-0.89) were all less likely to have an emergent diagnosis than uninsured patients. Those with veteran/military insurance (OR 1.08, 95% CI 0.87-1.34) were equally likely to have an emergent diagnosis compared to uninsured patients. Non-White Hispanic patients (OR 1.26, 95% CI 1.12-1.42) were more likely to present with an emergent condition than White patients. Patient seen in the standard ED setting were more likely to have emergent diagnoses than those who visited standalone eye EDs (P < 0.001). The most common emergent diagnoses were corneal abrasion (12.97%), extraocular foreign body (7.61%), and corneal ulcer (7.06%). The most common non-emergent diagnoses were dry eye (7.90%), posterior vitreous detachment (7.76%), and chalazion (6.57%).
ED setting was associated with the acuity of patient diagnoses. Lack of insurance coverage and non-White Hispanic race/ethnicity were associated with emergent eye-related ED visits. Improving access to ophthalmic care in these populations may reduce the incidence of preventable eye emergencies related to untreated chronic conditions. This combined with measures to redirect non-emergent issues to outpatient clinics may alleviate ED overload.
Posterior hip dislocation is commonly seen in the emergency department and requires urgent reduction to help avoid complications. Many techniques have been described to perform the reduction, all ...aimed at helping the physician gain a mechanical advantage to overcome the bony anatomy and large muscles groups involved. We describe a new technique that utilizes a hydraulic patient lift to help provide the traction force necessary to reduce posterior hip dislocations. The patient is secured to the bed with a strap or sheet tied over their pelvis and then a loop is secured under their popliteal region and secured to the hydraulic lift. The lift is engaged to create the desired traction, allowing the provider to manipulate the hip with adduction/abduction and/or internal/external rotation to achieve reduction. In addition, our method may also allow the provider to task switch more easily between other requirements, such as procedural sedation and attention to the patient's airway, especially in the single coverage emergency department.
•Pulmonary thromboembolism (PTE) is one of the cardiovascular emergencies with the highest mortality.•Early diagnosis and treatment reduce mortality and morbidity in PTE.•The IL-33/sST2 pathway has ...been used in the diagnosis and prognosis of many cardiovascular diseases. However, to the best of our knowledge, there are no studies on IL-33 and sST2 biomarkers in PTE.
Pulmonary thromboembolism (PTE) is a cardiovascular emergency that can result in mortality. In the interleukin-33 (IL-33) /soluble suppression of tumorigenicity 2 (sST2) signaling pathway, increased sST2 is a cardiovascular risk factor. This study aimed to investigate the effectiveness of biomarkers in the IL-33/sST2 signaling pathway in determining PTE diagnosis, clinical severity, and mortality.
This study was conducted as a single-center, prospective, observational study. Patients admitted to the emergency department and diagnosed with PTE constituted the patient group (n = 112), and healthy volunteers with similar sociodemographic characteristics constituted the control group (n = 62). Biomarkers in the IL-33/sST2 signaling pathway were evaluated for diagnosis, clinical severity, and prognosis.
IL-33 was lower in the patient group than in the control group (275.89 versus 403.35 pg/mL), while sST2 levels were higher in the patient group than in the control group (53.16 versus 11.78 ng/mL) (p < 0.001 and p = 0.001; respectively). The AUC of IL-33 to diagnose PTE was 0.656 (95 % CI: 0.580–0.726). The optimal IL-33 cut-off point to diagnose PTE was ≤304.11 pg/mL (56.2 % sensitivity, 79 % specificity). The AUC of sST2 to diagnose PTE was 0.818 (95 % CI: 0.752–0.872). The optimal sST2 cut-off point to diagnose PTE was >14.48 ng/mL (83 % sensitivity, 71 % specificity).
IL-33 levels were lower in patients with mortality (169.85 versus 332.04 pg/mL) compared to patients without mortality, whereas sST2 levels were higher in patients with mortality (118.32 versus 28.07 ng/mL) compared to patients without mortality (p > 0.001 for both). The AUC of IL-33 to predict the mortality of PTE was 0.801 (95 % CI: 0.715–0.870). The optimal IL-33 cut-off point to predict the mortality of PTE was ≤212.05 pg/mL (75 % sensitivity, 79.5 % specificity). The AUC of sST2 to predict the mortality of PTE was 0.824 (95 % CI: 0.740–0.889). The optimal sST2 cut-off point to predict the mortality of PTE was >81 ng/mL (95.8 % sensitivity, 78.4 % specificity).
In the IL-33/ST2 signaling pathway, decreased IL-33 and increased sST2 are valuable biomarkers for diagnosis and prediction of mortality in patients with PTE.
Emergency medicine is a dynamically complex and well-coordinated specialty. However, paediatric emergency sub-specialty is not yet well developed in most low and middle income countries. The purpose ...of the present study is to analyze the pediatric patients who passed through the emergency department of the hospital. Results: Total examined children - 44547. Hospitalized – 12 062 - 30.7% of the total. Boys predominate (54.0%). Children in the age group 1-10 years - 81.8%. The patient flow in the pediatric emergency department from other districts increased by 35.8%. Conclusion: Children are a particularly vulnerable group of patients who go through the emergency department, which is related to the specifics of pediatric care. The results of the study show that the largest proportion of pediatric patients are children aged 1-10 years, males, who sought medical help in connection with respiratory infections.
Emergency Department admissions have changed significantly during the COVID-19 pandemic. Understanding this variation may play a crucial role in rearranging hospital resources for better outcome. In ...this study, we aimed to assess the impact of COVID-19 pandemic on emergency department admission and outcome.
This is a cross-sectional retrospective study conducted at Bharatpur Hospital, Nepal comparing pre- pandemic data of the 4 months (March 24 to July 21, 2019) with the initial 4 months of the pandemic (March 24 to July 21, 2020).
Admission in emergency ward decreased during covid period among female admission (47%vs43%), age-group(0-14)(18%vs12%), Dalit(17%vs11%) p<0.0001.Diagnosis increased during covid for acute abdomen(11%vs13%), animal and insect bite(10%vs13%), psychiatric illness(2%vs6%),poisoning and drug over dose(0.9%vs2.6%)(p<0.0001).The odds for referral(cOR 3.62,95% CI:2.70-4.84), Left against medical advice(cOR 6.03,95% CI:.06-8.94) and death(cOR 3.28,95% CI:1.64-6.68) increased during the covid respectively.
There was decrease in rates of emergency department utilization during the Covid-19 pandemic. Admissions due to trauma, gastrointestinal, respiratory, neurological, musculoskeletal and coronary artery disease showed a decline whereas psychiatric disorders, diabetes and hypertension, animal and insect bites cases increased. Overall, mortality rate was increased.
To determine frequency that ED visits are needed, and the most common chief complaints and medications prescribed to Veterans with spinal cord injuries and disorders (SCI/D).
The Veterans Health ...Administration (VHA) SCI and Disorders (SCI/D) Registry (VHA SCIDR) was used to identify Veterans with SCI/D over a five-year period (fiscal years 2018–2022). The primary outcome was the proportion of Veterans with SCI/D who had visits to the ED during the study period. Secondary outcomes included diagnostic codes and medications prescribed in the ED, and other healthcare encounters.
Overall, 18,464 Veterans with SCI/D, including 80,661 patient-years were included. Of these Veterans, 10,234 (55.4%) had at least one ED visit and 8230 (44.6%) did not. ED visits were consistent, ranging from 33.5% to 36.4% annually. The number of in-person healthcare encounters decreased over the study period. The most common ED diagnostic codes were paraplegia or quadriplegia, discharge counseling, UTI, neuromuscular dysfunction of the bladder and low back pain. The most common medications prescribed in the ED were analgesics (e.g., acetaminophen, ketorolac), antimicrobials (e.g., ceftriaxone, vancomycin) and ondansetron. Antibiotics were among the most prescribed discharge medications, including ciprofloxacin, sulfamethoxazole/trimethoprim, cephalexin, and doxycycline.
This national study of Veterans with SCI/D characterized ED healthcare utilization. Overall, more than half of Veterans with SCI/D required an ED visit during the five-year study period and over one third of Veterans in each fiscal year required an ED visit. Interventions to target prevention of ED visits and subsequent hospitalizations could focus on these areas.
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