New Diagnostic Tools for Pulmonary Embolism Detection.

The presentation of pulmonary embolism (PE) varies from asymptomatic to life-threatening, and management involves multiple specialists. Timely diagnosis of PE is based on clinical presentation, D-dimer testing, and computed tomography pulmonary angiogram (CTPA), and assessment by a Pulmonary Embolism Response Team (PERT) is critical to management. Artificial intelligence (AI) technology plays a key role in the PE workflow with automated detection and flagging of suspected PE in CTPA imaging. HIPAA-compliant communication features of mobile and web-based applications may facilitate PERT workflow with immediate access to imaging, team activation, and real-time information sharing and collaboration. In this review, we describe contemporary diagnostic tools, specifically AI, that are important in the triage and diagnosis of PE.

Artificial intelligence to enhance prehospital stroke diagnosis and triage: a perspective.

As health systems organize to deliver the highest quality stroke care to their patients, there is increasing emphasis being placed on prehospital stroke recognition, accurate diagnosis, and efficient triage to improve outcomes after stroke. Emergency medical services (EMS) personnel currently rely heavily on dispatch accuracy, stroke screening tools, bypass protocols and prehospital notification to care for patients with suspected stroke, but novel tools including mobile stroke units and telemedicine-enabled ambulances are already changing the landscape of prehospital stroke care. Herein, the authors provide our perspective on the current state of prehospital stroke diagnosis and triage including several of these emerging trends. Then, we provide commentary to highlight potential artificial intelligence (AI) applications to improve stroke detection, improve accurate and timely dispatch, enhance EMS training and performance, and develop novel stroke diagnostic tools for prehospital use.

Analyzing Non-urgent Emergency Department Visits: Patterns, Demographics, Motivations, and Triage System Awareness in Al-Qassim.

OBJECTIVE: This cross-sectional descriptive study aimed to ascertain the prevalence of non-urgent cases, investigate gender and age preferences, and explore factors influencing individuals' selection of the emergency department (ED) for non-urgent cases in the Al-Qassim region of Saudi Arabia. METHODS: From July 15, 2022, to December 31, 2022, a structured online questionnaire via a Google Docs survey collected data. The study sampled 425 patients from two prominent Al-Qassim healthcare institutions: Buraydah King Fahad Specialized Hospital and Buraydah Central Hospital. Encompassing patients aged 20 to 80 admitted to the ED between 8:00 and 16:00, concurrent with primary healthcare center availability, the study categorized participants by urgency using the Canadian Triage and Acuity Scale (CTAS) criteria. Data analysis employed descriptive statistics, chi-square tests, and probit regression in R version 4.3.3, with a significance level of p < 0.05 for result interpretation. RESULTS: In Al-Qassim in 2022, 82.4% of ED visitors sought care for non-urgent cases, while 17.6% sought care for urgent cases. No statistically significant relationship was found between age and gender and urgent ED visits. Among those with non-urgent conditions, the top reasons for bypassing primary healthcare services were slow treatment (52.7%), lack of knowledge about primary healthcare (PHC) services (33.9%), and appointment unavailability (5.5%). Evaluation of awareness of the ED triage system showed a significant difference only among patients with excellent awareness. CONCLUSION: The investigation found a higher prevalence of non-urgent cases, especially among females. Challenges in appointment booking, accessibility, and the perception of urgency were key factors leading patients to choose the emergency department over PHC centers. The study emphasized the crucial role of ED triage system awareness and the impact of satisfaction with PHC services on healthcare-seeking behavior, with younger individuals less likely to visit the ED and males more inclined at specific satisfaction levels.

Comparison of HPV-positive triage strategies combining extended genotyping with cytology or p16/ki67 dual staining in the Italian NTCC2 study.

BACKGROUND: Each high-risk HPV genotype has different oncogenic potential, and the risk of CIN3+ varies according to genotype. We evaluated the performance of different strategies of HPV-positivity triage combining cytology, p16/ki67 dual staining (DS), and extended genotyping. METHODS: Samples from 3180 consecutive women from the NTCC2 study (NCT01837693) positive for HPV DNA at primary screening, were retrospectively analyzed by the BD Onclarity HPV Assay, which allows extended genotyping. Genotypes were divided into three groups based on the risk of CIN3+. HPV DNA-positive women were followed up for 24 months or to clearance. FINDINGS: Combining the three groups of genotypes with cytology or DS results we identify a group of women who need immediate colposcopy (PPV for CIN3+ from 7.8 to 20.1%), a group that can be referred to 1-year HPV retesting (PPV in those HPV-positive at retesting from 2.2 to 3.8), and a group with a very low 24-month CIN3+ risk, i.e. 0.4%, composed by women cytology or DS negative and positive for HPV 56/59/66 or 35/39/68 or negative with the Onclarity test, who can be referred to 3-year retesting. INTERPRETATION: Among the baseline HPV DNA positive/cytology or DS negative women, the extended genotyping allows to stratify for risk of CIN3+, and to identify a group of women with a risk of CIN3+ so low in the next 24 months that they could be referred to a new screening round after 3 years. FUNDING: Italian Ministry of Health (grant number RF-2009-1536040). Hologic-Genprobe, Roche Diagnostics, and Becton & Dickinson provided financial and non-financial support.

The accuracy of prehospital triage decisions in English trauma networks - a case-cohort study.

BACKGROUND: Care for injured patients in England is provided by inclusive regional trauma networks. Ambulance services use triage tools to identify patients with major trauma who would benefit from expedited Major Trauma Centre (MTC) care. However, there has been no investigation of triage performance, despite its role in ensuring effective and efficient MTC care. This study aimed to investigate the accuracy of prehospital major trauma triage in representative English trauma networks. METHODS: A diagnostic case-cohort study was performed between November 2019 and February 2020 in 4 English regional trauma networks as part of the Major Trauma Triage Study (MATTS). Consecutive patients with acute injury presenting to participating ambulance services were included, together with all reference standard positive cases, and matched to data from the English national major trauma database. The index test was prehospital provider triage decision making, with a positive result defined as patient transport with a pre-alert call to the MTC. The primary reference standard was a consensus definition of serious injury that would benefit from expedited major trauma centre care. Secondary analyses explored different reference standards and compared theoretical triage tool accuracy to real-life triage decisions. RESULTS: The complete-case case-cohort sample consisted of 2,757 patients, including 959 primary reference standard positive patients. The prevalence of major trauma meeting the primary reference standard definition was 3.1% (n=54/1,722, 95% CI 2.3 - 4.0). Observed prehospital provider triage decisions demonstrated overall sensitivity of 46.7% (n=446/959, 95% CI 43.5-49.9) and specificity of 94.5% (n=1,703/1,798, 95% CI 93.4-95.6) for the primary reference standard. There was a clear trend of decreasing sensitivity and increasing specificity from younger to older age groups. Prehospital provider triage decisions commonly differed from the theoretical triage tool result, with ambulance service clinician judgement resulting in higher specificity. CONCLUSIONS: Prehospital decision making for injured patients in English trauma networks demonstrated high specificity and low sensitivity, consistent with the targets for cost-effective triage defined in previous economic evaluations. Actual triage decisions differed from theoretical triage tool results, with a decreasing sensitivity and increasing specificity from younger to older ages.

Prospective validation of a hospital triage predictive model to decrease undertriage: an EAST multicenter study.

Background: Tiered trauma team activation (TTA) allows systems to optimally allocate resources to an injured patient. Target undertriage and overtriage rates of <5% and <35% are difficult for centers to achieve, and performance variability exists. The objective of this study was to optimize and externally validate a previously developed hospital trauma triage prediction model to predict the need for emergent intervention in 6 hours (NEI-6), an indicator of need for a full TTA. Methods: The model was previously developed and internally validated using data from 31 US trauma centers. Data were collected prospectively at five sites using a mobile application which hosted the NEI-6 model. A weighted multiple logistic regression model was used to retrain and optimize the model using the original data set and a portion of data from one of the prospective sites. The remaining data from the five sites were designated for external validation. The area under the receiver operating characteristic curve (AUROC) and the area under the precision-recall curve (AUPRC) were used to assess the validation cohort. Subanalyses were performed for age, race, and mechanism of injury. Results: 14 421 patients were included in the training data set and 2476 patients in the external validation data set across five sites. On validation, the model had an overall undertriage rate of 9.1% and overtriage rate of 53.7%, with an AUROC of 0.80 and an AUPRC of 0.63. Blunt injury had an undertriage rate of 8.8%, whereas penetrating injury had 31.2%. For those aged ≥65, the undertriage rate was 8.4%, and for Black or African American patients the undertriage rate was 7.7%. Conclusion: The optimized and externally validated NEI-6 model approaches the recommended undertriage and overtriage rates while significantly reducing variability of TTA across centers for blunt trauma patients. The model performs well for populations that traditionally have high rates of undertriage. Level of evidence: 2.

An esophagectomy surgical Apgar score-based nomogram-a risk-based postoperative triage system: a phase II randomised trial.

Background: The esophagectomy surgical Apgar score (eSAS) has been found to be a predictor of postoperative complications in esophagectomy. In our previous study, we built a graphic nomogram based on eSAS and demonstrated that it can effectively predict the risk of major morbidity after esophagectomy. In this study, we aimed to assess the benefits of using an eSAS-based nomogram model as a postoperative risk-based triage system for patients undergoing esophagectomy. Methods: We enrolled 119 patients diagnosed with esophageal carcinoma and randomly assigned them to a nomogram group (NG) or control group (CG) from January 2019 to December 2020. Patients in the NG were assigned to a low-risk group and high-risk group based on the nomogram. Patients in the high-risk group were admitted to the intensive care unit (ICU) after esophagectomy. Risk estimation in the CG patients was based on the surgeon's clinical experience. Thirty-day major complications, postoperative hospital stay, hospital costs, and quality of life (QOL) during the follow-up were compared between the two groups. Results: Baseline clinicopathological characteristics were comparable between the NG (n=58) and CG (n=61). All patients underwent esophagectomy. Postoperative complications were significantly higher in the CG (30, 49.2%) than in the NG (14, 24.1%) (P=0.008), with pneumonia being the most common (CG: 23, 37.7%; NG: 12, 20.7%; P=0.042). There was no significant difference in anastomotic leakage (NG: 1, 1.7%; CG: 6, 9.8%; P=0.12). Postoperative median hospital stay was shorter in the NG (14 days) than in the CG (16 days) (P=0.041). Hospital costs (NG: ¥60,045.1; CG: ¥63,961.5; P=0.21) and postoperative QOL did not differ significantly between groups. Conclusions: An eSAS-based nomogram as a triage system can reduce the overall occurrence of postoperative complications and shorten postoperative hospital stay without increasing hospital costs. Trial Registration: Chinese Clinical Trial Registry ChiCTR1900021636.

Comparative analysis of ChatGPT, Gemini and emergency medicine specialist in ESI triage assessment.

INTRODUCTION: The term Artificial Intelligence (AI) was first coined in the 1960s and has made significant progress up to the present day. During this period, numerous AI applications have been developed. GPT-4 and Gemini are two of the best-known of these AI models. As a triage system The Emergency Severity Index (ESI) is currently one of the most commonly used for effective patient triage in the emergency department. The aim of this study is to evaluate the performance of GPT-4, Gemini, and emergency medicine specialists in ESI triage against each other; furthermore, it aims to contribute to the literature on the usability of these AI programs in emergency department triage. METHODS: Our study was conducted between February 1, 2024, and February 29, 2024, among emergency medicine specialists in Turkey, as well as with GPT-4 and Gemini. Ten emergency medicine specialists were included in our study but as a limitation the emergency medicine specialists participating in the study do not frequently use the ESI triage model in daily practice. In the first phase of our study, 100 case examples related to adult or trauma patients were extracted from the sample and training cases found in the ESI Implementation Handbook. In the second phase of our study, the provided responses were categorized into three groups: correct triage, over-triage, and under-triage. In the third phase of our study, the questions were categorized according to the correct triage responses. RESULTS: In the results of our study, a statistically significant difference was found between the three groups in terms of correct triage, over-triage, and under-triage (p < 0.001). GPT-4 was found to have the highest correct triage rate with an average of 70.60 (±3.74), while Gemini had the highest over-triage rate with an average of 35.2 (±2.93) (p < 0.001). The highest under-triage rate was observed in emergency medicine specialists (32.90 (±11.83)). In the ESI 1-2 class, Gemini had a correct triage rate of 87.77%, GPT-4 had 85.11%, and emergency medicine specialists had 49.33%. CONCLUSION: In conclusion, our study shows that both GPT-4 and Gemini can accurately triage critical and urgent patients in ESI 1&2 groups at a high rate. Furthermore, GPT-4 has been more successful in ESI triage for all patients. These results suggest that GPT-4 and Gemini could assist in accurate ESI triage of patients in emergency departments.

Validation of motor component of Glasgow coma scale in lieu of total Glasgow coma scale as a pediatric trauma field triage tool.

INTRODUCTION: Prehospital trauma triage and disability assessment of pediatric patients can be challenging on the field, especially in the pre-verbal age group. It would be useful if the same triage tool and criteria can be used for both adults and children to risk-stratify the need of higher acuity of trauma care. STUDY OBJECTIVE: We aimed to investigate if using only the motor component of Glasgow Coma Scale (mGCS), as a quick field trauma triage tool, was non-inferior to total GCS (tGCS), and if mGCS <6 was non-inferior to tGCS <14, in predicting the need for intensive care or mortality in the pediatric population. METHODS: We performed a retrospective review of patients <18-years-old, who presented to our emergency department (ED) with moderate (Injury Severity Score (ISS) 9-15) to severe (ISS > 15) traumatic injuries from January 2012 to December 2021. Using ED triage data, mortality and the need for intensive care unit (ICU) admission were used as surrogate outcomes to investigate if mGCS <6 was non-inferior to tGCS <14, and the area-under-the-receiver-operating-characteristic curve (AUROC) was used as a measure of comparability. RESULTS: Among 582 included for analysis, the median age was 7-years-old (2-12), and most were male (63.4%). 22.4% patients demised or required ICU care. mGCS <6 had an AUROC of 0.75 (95% CI 0.70 to 0.79), which was non-inferior to tGCS <14; AUROC 0.76, (95% CI 0.72 to 0.81), for identifying children requiring ICU management or demised. The results shown here were based on the AUROCs that were used to evaluate the discriminatory ability of tGCS <14 and mGCS <6 in prediction of mortality and the need for ICU care. CONCLUSION: Our study showed that mGCS was significantly associated with tGCS, and was non- inferior to the latter as a triage tool in pediatric trauma. It validated the use of mGCS <6 in lieu of tGCS <14 in the pre-hospital field triage of pediatric patients, in identification of children at risk of death or requiring ICU care. Larger prospective, observational studies using on-scene data would be required for more robust validation and determine optimal cut-offs.

Midwife-led obstetric triage to increase providers' knowledge and improve timeliness of care: A pre and posttest design.

BACKGROUND: Research in low- and middle-income countries has shown that maternal mortality is directly related to inadequate or absent obstetric (OB) triage systems. Standard triage systems and knowledge on triaging for obstetric emergencies are often absent or lacking in most healthcare systems in Liberia. OBJECTIVE: The objective of this research was to address the third delay defined as receiving adequate, quality care when a facility is reached by increasing knowledge through the establishment of a midwife-led, hospital-based OB triage system to stratify care based on risk and imminence of birth and to improve timely assessment at two district referral hospitals. METHODS: A quasi-experimental study design using a pre/post survey was employed for a midwife-led OB triage training course. Using a train-the-trainer model, five midwives were trained as champions, who in turn trained an additional 62 providers. Test results were analyzed with the R statistical software using paired sample t-test and descriptive statistics. RESULTS: Pretest results revealed a knowledge and practice gap among OB providers on key components of the standard triage package. However, post-test mean scores were significantly higher (M = 79.6, SD = 2.32) than pre-test mean scores (M = 59.0, SD = 2.30) for participants following a 2-day training (p = <0.001). DISCUSSION: Following a structured OB triage training, participants showed significant improvement in post-test OB triage scores. CONCLUSION: Standard OB triage protocols incorporated into the policies and procedures of obstetric wards have the potential to improve knowledge and practice, addressing the third delay and reducing preventable, obstetrics-related deaths.

Expectations of emergency patients regarding triage system knowledge upon arrival: an interpretive study.

BACKGROUND: One of the most important aspects of healthcare knowledge is having a thorough understanding of the triage system which is used in emergency departments. This study aims to assess the level of awareness of Jordanian patients who visit the ED about the triage procedure. METHODS: A descriptive, cross-sectional design was utilized in the emergency department at the biggest public hospital in Jordan. A convenience sample of a self-administrated questionnaire utilizing a Discounted Cash Flow Interview (DCF) survey was filled out. RESULTS: A total of 726 participants were recruited with a response rate of 90.8%. The mean age of the participants was M = 38.1 (SD = 12.9), and the age of the participants varied from 18 to 89 years. More than half of the participants were male (n = 383, 52.8%) and married (n = 425, 58.5%). A significant relationship between the overall perception of knowing what a teaching hospital is and patients' educational level (X2 = 11.9, P < 0.003), current job (X2 = 25.2, P < 0.001), nationality (X2 = 7.20, P < 0.007), and family income (X2 = 15.9, P < 0.001). CONCLUSION: More investigation is required to determine the causes of the low knowledge of the triage system. The study suggests increasing staffing levels, giving nursing staff ongoing education and training, and integrating technology and automation to reduce the load of patient care.

C-reactive protein-based tuberculosis triage testing: a multi-country diagnostic accuracy study.

Rationale: C-reactive protein (CRP)-based tuberculosis (TB) screening is recommended for people with HIV (PWH). However, its performance among people without HIV and in diverse settings is unknown. Objectives: In a multi-country study, we aimed to determine whether CRP meets the minimum accuracy targets (sensitivity ≥90%, specificity ≥70%) for an effective TB triage test. Methods/Measurements: Consecutive outpatient adults with cough ≥2 weeks from five TB endemic countries in Africa and Asia had baseline blood collected for point-of-care CRP testing and HIV and diabetes screening. Sputum samples were collected for Xpert MTB/RIF Ultra (Xpert) testing and culture. CRP sensitivity and specificity (5 mg/L cut-point) was determined in reference to sputum test results and compared by country, sex, and HIV and diabetes status. Variables affecting CRP performance were identified using a multivariate receiver operating characteristic (ROC) regression model. Results: Among 2904 participants, of whom 613 (21%) had microbiologically-confirmed TB, CRP sensitivity was 84% (95% CI: 81-87%) and specificity was 61% (95% CI: 59-63%). CRP accuracy varied geographically, with higher sensitivity in African countries (≥91%) than Asian countries (64-82%). Sensitivity was higher among men than women (87% vs. 79%, difference +8%, 95% CI: 1-15%) and specificity was higher among people without HIV than PWH (64% vs. 45%, difference +19%, 95% CI: 13-25%). ROC regression identified country and measures of TB disease severity as predictors of CRP performance. Conclusions: Overall, CRP did not achieve the minimum accuracy targets and its performance varied by setting and in some sub-groups, likely reflecting population differences in mycobacterial load.

Improved interpretable machine learning emergency department triage tool addressing class imbalance.

Objective: The Score for Emergency Risk Prediction (SERP) is a novel mortality risk prediction score which leverages machine learning in supporting triage decisions. In its derivation study, SERP-2d, SERP-7d and SERP-30d demonstrated good predictive performance for 2-day, 7-day and 30-day mortality. However, the dataset used had significant class imbalance. This study aimed to determine if addressing class imbalance can improve SERP's performance, ultimately improving triage accuracy. Methods: The Singapore General Hospital (SGH) emergency department (ED) dataset was used, which contains 1,833,908 ED records between 2008 and 2020. Records between 2008 and 2017 were randomly split into a training set (80%) and validation set (20%). The 2019 and 2020 records were used as test sets. To address class imbalance, we used random oversampling and random undersampling in the AutoScore-Imbalance framework to develop SERP+-2d, SERP+-7d, and SERP+-30d scores. The performance of SERP+, SERP, and the commonly used triage risk scores was compared. Results: The developed SERP+ scores had five to six variables. The AUC of SERP+ scores (0.874 to 0.905) was higher than that of the corresponding SERP scores (0.859 to 0.894) on both test sets. This superior performance was statistically significant for SERP+-7d (2019: Z = -5.843, p < 0.001, 2020: Z = -4.548, p < 0.001) and SERP+-30d (2019: Z = -3.063, p = 0.002, 2020: Z = -3.256, p = 0.001). SERP+ outperformed SERP marginally on sensitivity, specificity, balanced accuracy, and positive predictive value measures. Negative predictive value was the same for SERP+ and SERP. Additionally, SERP+ showed better performance compared to the commonly used triage risk scores. Conclusions: Accounting for class imbalance during training improved score performance for SERP+. Better stratification of even a small number of patients can be meaningful in the context of the ED triage. Our findings reiterate the potential of machine learning-based scores like SERP+ in supporting accurate, data-driven triage decisions at the ED.

Behind the scenes: facilitators and barriers to developing state scarce resource allocation plans for the COVID-19 pandemic.

BACKGROUND: In response to COVID-19, many states revised, developed, or attempted to develop plans to allocate scarce critical care resources in the event crisis standards of care were triggered. No prior analysis has assessed this plan development process, including whether plans were successfully adopted. RESEARCH QUESTION: How did states develop or revise scarce resource allocation plans during the COVID-19 pandemic and what were the barriers and facilitators to their development and adoption at the state level? STUDY DESIGN AND METHODS: Plan authors and state leaders completed a semi-structured interview February to September 2022. Interview transcripts were qualitatively analyzed for themes related to plan development and adoption according to the principles of grounded theory. RESULTS: Thirty-six participants from 34 states completed an interview, from states distributed across all U.S. regions. Among participants' states with plans that existed prior to 2020 (n=24), 17 were revised and adopted in response to COVID-19. Six states wrote a plan de novo, with the remaining states failing to develop or adopt a plan. Thirteen states continued to revise their plans in response to disability or aging bias complaints or to respond to evolving needs. Many participants expressed that urgency in the early days of the pandemic prevented an ideal development process. Facilitators of successful plan development and adoption include: coordination or support from the state department of health and existing relationships with key community partners, including aging and disability rights groups and minoritized communities. Barriers include: lack of perceived political interest in a plan and development during a public health emergency. INTERPRETATION: To avoid repeating mistakes from the early days of the COVID response, states should develop or revise plans with community engagement and consider maintaining a standing committee with diverse membership and content expertise to periodically review plans and advise state officials on pandemic preparedness.

Diabetes and risk of acute coronary syndrome in callers with chest discomfort: Cross-sectional study in out-of-hours primary care.

AIMS: We investigated the differences in prevalence of acute coronary syndrome (ACS) by presence versus absence of diabetes in males and females with chest discomfort who called out-of-hours primary care (OHS-PC). METHODS: A cross-sectional study performed in the Netherlands. Patients who called the OHS-PC in the Utrecht region, the Netherlands between 2014 and 2017 with acute chest discomfort were included. We compared those with diabetes with those without diabetes. Multivariable logistic regression was used to determine the relation between diabetes and (i) high urgency allocation and (ii) ACS. RESULTS: Of the 2,195 callers with acute chest discomfort, 180 (8.2%) reported having diabetes. ACS was present in 15.3% of males (22.0% in those with diabetes) and 8.4% of females (18.8% in those with diabetes). Callers with diabetes did not receive a high urgency more frequently (74.4% vs. 67.8% (OR: 1.38; 95% CI 0.98-1.96). However, such callers had a higher odds for ACS (OR: 2.17; 95% CI 1.47-3.19). These differences were similar for females and males. CONCLUSIONS: Diabetes holds promise as diagnostic factor in callers to OHS-PC with chest discomfort. It might help triage in this setting given the increased risk of ACS in those with diabetes.

The performance of single and combination test strategies using visual inspection, cytology, high-risk HPV DNA and HPV16/18 to screen South African women with and without HIV-infection.

BACKGROUND: Cervical cancer screening strategies should ideally be informed by population-specific data. Strategies recommended for secondary prevention, are often inadequately studied in populations with high cervical disease burdens. This report describes the test performance measured against CIN2 + /CIN3 + histology in HIV-positive women (HPW) and HIV-negative women (HNW) with the aim to determine the most effective strategies to identify South African women at risk. METHODS: Primary screening using visual inspection, cytology and HPV DNA (cobas®) was performed in two South African provinces on 456 HPW and 639 HNW participating in the multicentric DiaVACCS trial. Histology was obtained for 91.7% screen-positive and 42.7% screen-negative participants, and unavailable histology was determined by multiple imputation to adjust for verification bias. Cross-sectional test performance was calculated for single and combination test strategies with and without intermediate risk categories using different cut-offs. Minimum acceptability for sensitivity and specificity, treatment and follow-up numbers were considered to evaluate strategies. RESULTS: The only single test to reach acceptability in HPW was cytology (LSIL) [sensitivity 71.2%; specificity 90.5%; treatment 33.4%]; in HNW only HPV (hr) qualified [sensitivity 68.2%; specificity 85.2%; treatment 23.5%]. The universally best performing strategy which also resulted in smaller treatment numbers without intermediate risk group was primary HPV(hr), with treatment of both HPV(16/18) and cytology (ASCUS +) [HPW: sensitivity 73.6%; specificity 89.7%; treatment 34.7%. HNW: sensitivity 59.1%; specificity 93.6%; treatment 13.9%]. DNA testing for hrHPV (any) and hrHPV (16/18) was the best universally acceptable strategy with an intermediate risk category (early follow-up) in HPW [sensitivity 82.1%; specificity 96.4%; treatment 17.1%; follow-up 31.4%] and HNW [sensitivity 68.2%; specificity 96.7%; treatment 7.6%; follow-up 15.9%]. In comparison, using both HPV (16/18) and cytology (ASCUS +) as secondary tests in hrHPV positive women, decreased follow-up [HPW 13.8%, HNW 9.6%], but increased treatment [HPW 34.7%, HNW 13.9%]. CONCLUSION: Using hrHPV (any) as primary and both HPV16/18 and cytology as secondary tests, was universally acceptable without an intermediate risk group. Strategies with follow-up groups improved screening performance with smaller treatment numbers, but with effective management of the intermediate risk group as prerequisite.

February 6th, Kahramanmaras earthquakes and the disaster management algorithm of adult emergency medicine in Turkey: An experience review.

This compilation covers emergency medical management lessons from the February 6th Kahramanmaras earthquakes. The objective is to review relevant literature on emergency services patient management, focusing on Koenig's 1996 Simple Triage and Rapid Treatment (START) and Secondary Assessment of Victim Endpoint (SAVE) frameworks. Establishing a comprehensive seismic and mass casualty incident (MCI) protocol chain is the goal. The prehospital phase of seismic MCIs treats hypovolemia and gets patients to the nearest hospital. START-A plans to expedite emergency patient triage and pain management. The SAVE algorithm is crucial for the emergency patient secondary assessment. It advises using Glasgow Coma Scale, Mangled Extremity Severity Score, Burn Triage Score, and Safe Quake Score for admission, surgery, transfer, discharge, and outcomes. This compilation emphasizes the importance of using diagnostic tools like bedside blood gas analyzers and ultrasound devices during the assessment process, drawing from 6 February earthquake research. The findings create a solid framework for improving emergency medical response strategies, making them applicable in similar situations.

Retrospective evaluation of traumatic pneumomediastinum in dogs and cats (2005-2022): 52 cases.

OBJECTIVE: To describe the incidence, etiology, clinical signs, diagnostics, treatments, and outcome of noniatrogenic traumatic pneumomediastinum (TPM) in dogs and cats. DESIGN: Retrospective study of cases (2005-2022). SETTING: University veterinary teaching hospital. ANIMALS: Fifty-two patients (29 dogs, 23 cats). MEASUREMENTS AND MAIN RESULTS: Data collected from the medical records included signalment, physical examination findings, animal trauma triage (ATT) score, clinicopathological data, imaging data, surgical intervention, length of hospitalization, supportive care, complications, and outcome. Most dogs presented with tachycardia and tachypnea, while cats presented with hypothermia and tachypnea. Subcutaneous emphysema, pneumothorax, and dyspnea were the most common clinical signs for both species. The median calculated ATT score was 3.5 in dogs and 4 in cats. The most common radiographic abnormalities other than pneumomediastinum were pneumothorax and lung contusions. The overall mortality rate was 18%, with a significantly higher survival rate in dogs (26/28 dogs [93%], 15/22 cats (68%); P = 0.03). Outcome was unknown in 1 dog and 1 cat. The only significant difference in treatment between survivors and nonsurvivors was the requirement in dogs for positive pressure ventilation. The median hospitalization period was 2 days for both species, with a shorter hospitalization in the nonsurvivors (0.6 vs 2 days, respectively; P = 0.006). CONCLUSIONS: TPM is an infrequent pathology in veterinary medicine and may be seen without an externally obvious injury. The most common causes for TPM in dogs were vehicular trauma and bite wounds, while high-rise syndrome was the most common cause in cats. Most of the cases have concurrent pneumothorax and require thoracocentesis; however, direct intervention to treat TPM is not usually required. The vast majority of cases did not undergo surgery to treat TPM. The prognosis for dogs with TPM was good but was guarded for cats.

Turkish validity and reliability study of the Alder hey child triage pain scale.

AIM: This study was performed to examine the Turkish validity and reliability of the Alder Hey Triage Pain Scale (AHTPS) for children aged 3-15 years who attended the pediatric emergency service with a complaint of pain. MATERIAL AND METHOD: The sample for the methodological research was composed of 300 children between the ages of 3 and 15 who attended the University Training and Research Hospital Pediatric Emergency Clinic with a complaint of pain. Data were collected by using the Child and Parent Descriptive Information Form, Emergency Service Patient Triage, Treatment and Observation Form, AHTPS, and Wong-Baker Faces Pain Scale (WBFPS). RESULTS: Of the children participating in the study, 54.3% were female and 30.7% were between the ages of 12-15. The total content validity index score of the AHTPS was determined as 0.99 and the content validity rate score was 0.98. The interobserver concordance of AHTPS was examined and the concordance of two observers was significant and very good (p < 0.001). For the concordance of scale with similar scales, the WBFPS was used and during the 1st and 2nd measurements, intra-observer reliability of AHTPS was statistically significant and very good (p < 0.001). Cronbach alpha values of the scale were in the range of 0.619 and 0.679 and the scale was reliable. CONCLUSIONS: As a result, the adaptation of the AHTPS to Turkish is a valid and reliable measurement tool. PRACTICE IMPLICATIONS: Pain assessment for children attending the emergency service should be performed more systematically with scales like the AHTPS.