Clinical evaluation of primary human papillomavirus (HPV) testing with extended HPV genotyping triage for cervical cancer screening: A pooled analysis of individual patient data from nine population-based cervical cancer screening studies from China.

OBJECTIVE: To assess the clinical values of extended human papillomavirus (HPV) genotyping in triage of high-risk HPV-positive women, focusing on the trade-off between cervical precancer detections and colposcopy referrals. METHODS: A bivariate random-effects model was used to estimate the diagnostic accuracy of primary HPV screening with following triage strategies to detect cervical precancers: (i) partial genotyping for HPV16/18 combined with cytological testing at atypical squamous cells of undetermined significance threshold (used as the comparator), (ii) genotyping for HPV16/18/58/52, (iii) genotyping for HPV16/18/58/52/33, (iv) genotyping for HPV16/18/58/33/31, (v) genotyping for HPV16/18/58/52/33/31, and (vi) genotyping for HPV16/18/58/52/33/31/39/51. Internal risk benchmarks for clinical management were used to evaluate the risk stratification of each triage strategy. RESULTS: A total of 16,982 women (mean age 46.1 years, range 17-69) were included in this analysis. For CIN3+ detection, triage with HPV16/18/58/33/31 genotyping achieved lower positivity (6.85% vs. 7.35%, p = 0.001), while maintaining similar sensitivity (91.35% vs. 96.42%, p = 0.32) and specificity (94.09% vs. 93.67%, p = 0.56) compared with the comparator strategy. Similar patterns were observed for CIN2+ detection. Women with a positive HPV16/18/58/33/31 genotyping test had high enough risk for CIN3+ for colposcopy referral, while the risk for women with a negative test was below the 1-year return decision threshold according to internal benchmarks. CONCLUSIONS: Our findings suggested extended HPV genotyping is of potential to be used as a triage technique integrated into HPV-based cervical cancer screening, leading to reduced need for colposcopy referral while maintaining similar disease detection and efficient risk stratification.

Analysis of the diagnostic performance of PAX1/SOX1 gene methylation in cervical precancerous lesions and its role in triage diagnosis.

Methylation panels, tools for investigating epigenetic changes associated with diseases like cancer, can identify DNA methylation patterns indicative of disease, providing diagnostic or prognostic insights. However, the application of methylation panels focusing on the sex-determining region Y-box 1 (SOX1) and paired box gene 1 (PAX1) genes for diagnosing cervical lesions is under-researched. This study aims to examine the diagnostic performance of PAX1/SOX1 gene methylation as a marker for cervical precancerous lesions and its potential application in triage diagnosis. From September 2022 to April 2023, 181 patients with abnormal HPV-DNA tests or cytological exam results requiring colposcopy were studied at Hubei Maternal and Child Health Hospital, China. Data were collected from colposcopy, cytology, HPV-DNA tests, and PAX1/SOX1 methylation detection. Patients were categorized as control, cervical intraepithelial neoplasia Grade 1 (CIN1), Grade 2 (CIN2), Grade 3 (CIN3), and cervical cancer (CC) groups based on histopathology. We performed HPV testing, liquid-based cytology, and PAX1/SOX1 gene methylation testing. We evaluated the diagnostic value of methylation detection in cervical cancer using DNA methylation positivity rate, sensitivity, specificity, and area under the curve (AUC), and explored its potential for triage diagnosis. PAX1/SOX1 methylation positivity rates were: control 17.1%, CIN1 22.5%, CIN2 100.0%, CIN3 90.0%, and CC 100.0%. The AUC values for PAX1 gene methylation detection in diagnosing CIN1+, CIN2+, and CIN3+ were 0.52 (95% confidence interval [CI]: 0.43-0.62), 0.88 (95% CI: 0.80-0.97), and 0.88 (95% CI: 0.75-1.00), respectively. Corresponding AUC values for SOX1 gene methylation detection were 0.47 (95% CI: 0.40-0.58), 0.80 (95% CI: 0.68-0.93), and 0.92 (95% CI: 0.811-1.00), respectively. In HPV16/18-negative patients, methylation detection showed sensitivity of 32.4% and specificity of 83.7% for CIN1+. For CIN2+ and CIN3+, sensitivity was all 100%, with specificities of 83.0% and 81.1%. Among the patients who underwent colposcopy examination, 166 cases had cytological examination results ≤ASCUS, of which 37 cases were positive for methylation, and the colposcopy referral rate was 22.29%. PAX1/SOX1 gene methylation detection exhibits strong diagnostic efficacy for cervical precancerous lesions and holds significant value in triage diagnosis.

Quality improvement initiative: improving obstetric triaging practices in a rural maternal hospital in central India.

Triaging of obstetric patients by emergency care providers is paramount. It helps provide appropriate and timely management to prevent further injury and complications. Standardised trauma acuity scales have limited applicability in obstetric triage. Specific obstetric triage index tools improve maternal and neonatal outcomes but remain underused. The aim was to introduce a validity-tested obstetric triage tool to improve the percentage of correctly triaged patients (correctly colour-coded in accordance with triage index tool and attended to within the stipulated time interval mandated by the tool) from the baseline of 49% to more than 90% through a quality improvement (QI) process.A team of nurses, obstetricians and postgraduates did a root cause analysis to identify the possible reasons for incorrect triaging of obstetric patients using process flow mapping and fish bone analysis. Various change ideas were tested through sequential Plan-Do-Study-Act (PDSA) cycles to address issues identified.The interventions included introduction and application of an obstetric triage index tool, training of triage nurses and residents. We implemented these interventions in eight PDSA cycles and observed outcomes by using run charts. A set of process, output and outcome indicators were used to track if changes made were leading to improvement.Proportion of correctly triaged women increased from the baseline of 49% to more than 95% over a period of 8 months from February to September 2020, and the results have been sustained in the last PDSA cycle, and the triage system is still sustained with similar results. The median triage waiting time reduced from the baseline of 40 min to less than 10 min. There was reduction in complications attributable to improper triaging such as preterm delivery, prolonged intensive care unit stay and overall morbidity. It can be thus concluded that a QI approach improved obstetric triaging in a rural maternity hospital in India.

Rethinking the Role of Biodosimetry to Assess Risks for Acute Radiation Syndrome in Very Large Radiation Events: Reconsidering Legacy Concepts.

The development of effective uses of biodosimetry in large-scale events has been hampered by residual, i.e., "legacy" thinking based on strategies that scale up from biodosimetry in small accidents. Consequently, there remain vestiges of unrealistic assumptions about the likely magnitude of victims in "large" radiation events and incomplete analyses of the logistics for making biodosimetry measurements/assessments in the field for primary triage. Elements remain from an unrealistic focus on developing methods to use biodosimetry in the initial stage of triage for a million or more victims. Based on recent events and concomitant increased awareness of the potential for large-scale events as well as increased sophistication in planning and experience in the development of biodosimetry, a more realistic assessment of the most effective roles of biodosimetry in large-scale events is urgently needed. We argue this leads to a conclusion that the most effective utilization of biodosimetry in very large events would occur in a second stage of triage, after initially winnowing the population by identifying those most in need of acute medical attention, based on calculations of geographic sites where significant exposures could have occurred. Understanding the potential roles and limitations of biodosimetry in large-scale events involving significant radiation exposure should lead to development of the most effective and useful biodosimetric techniques for each stage of triage for acute radiation syndrome injuries, i.e., based on more realistic assumptions about the underlying event and the logistics for carrying out biodosimetry for large populations.

Can artificial intelligence help ED nurses more accurately triage patients?

ABSTRACT: The Emergency Severity Index (ESI) is the most popular tool used to triage patients in the US and abroad. Evidence has shown that ESI has its limitations in correctly assigning acuity. To address this, AI can be incorporated into the triage process, decreasing the likelihood of assigning an incorrect ESI level.

Digitalisation of information and management optimisation in Multiple Victim Incidents. Analytical study.

INTRODUCTION: Triage is a crucial tool for managing a Multiple Victim Incident (MVI). One particularly problematic issue is the communication of results to the chain of command and control. Favourable data exists to suggest that digital triage can improve some features of analogue triage. Within this context we have witnessed the emergence of the Valkyries Project, which is working to develop strategies to respond to MVIs, and especially cross-border incidents. To that end, an IT platform called "SIGRUN" has been created which distributes, in real time, all the information to optimise MVI management. A full-scale simulation, held on the Spain-Portugal border and featuring contributions from different institutions on both sides of the border, put to the test the role of information digitalisation in this type of incidents. OBJECTIVE: To evaluate the impact of the synchronous digitalisation of information on the optimal management of Multiple Victim Incidents. METHOD: Clinical evaluation study carried out on a cross-border simulation between Spain and Portugal. A Minimum Data Set (MDS) was established by means of a modified Delphi by a group of experts. The digital platform "SIGRUN" integrated all the information, relaying it in real time to the chain of command and control. Each country assigned two teams that would carry out digital and analogue triage synchronously. Analogue triage variables were gathered by observers accompanying the first responders. Digital triage times were recorded automatically. Each case was evaluated and classified simultaneously by the two participating teams, to carry out a reliability study in a real time scenario. RESULTS: The total duration of the managing of the incident in the A group of countries involved compared to the B group was 72.5 minutes as opposed to 73 minutes. The total digital assistance triage (AT) time was 37.5 seconds in the digital group, as opposed to 32 minutes in the analogue group. Total evacuation (ET) time was 28 minutes in the digital group compared with 65 minutes in the analogue group. The average differences in total times between the analogue and the digital system, both for primary and secondary evaluation, were statistically significant: p = 0.048 and p = 0.000 respectively. For the "red" category, AT obtained a sensitivity of 100%, also for ET, while with regard to AT safety it obtained a PPV of 61.54% and an NPV of 100%, and for ET it obtained a PPV of 83.33% and an NPV of 100%. For the analogue group, for AT it obtained a sensitivity of 62.50%, for ET, 70%, for AT safety it obtained a PPV of 45.45% and an NPV of 92.31%, while for ET it obtained a PPV of 70% and an NPV of 92.50%. The gap analysis obtained a Kappa index of 0.7674. CONCLUSION: The triage system using the developed digital tool demonstrated its validity compared to the analogue tool, as a result of which its use is recommended.

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.

Enhancing HIV positivity yield in southern Mozambique: The effect of a Ministry of Health training module in targeted provider-initiated testing and counselling.

In Mozambique, targeted provider-initiated HIV testing and counselling (PITC) is recommended where universal PITC is not feasible, but its effectiveness depends on healthcare providers' training. This study aimed to evaluate the effect of a Ministry of Health training module in targeted PITC on the HIV positivity yield, and identify factors associated with a positive HIV test. We conducted a single-group pre-post study between November 2018 and November 2019 in the triage and emergency departments of four healthcare facilities in Manhiça District, a resource-constrained semi-rural area. It consisted of two two-month phases split by a one-week targeted PITC training module ("observation phases"). The HIV positivity yield of targeted PITC was estimated as the proportion of HIV-positive individuals among those recommended for HIV testing by the provider. Additionally, we extracted aggregated health information system data over the four months preceding and following the observation phases to compare yield in real-world conditions ("routine phases"). Logistic regression analysis from observation phase data was conducted to identify factors associated with a positive HIV test. Among the 7,102 participants in the pre- and post-training observation phases (58.5% and 41.5% respectively), 68% were women, and 96% were recruited at triage. In the routine phases with 33,261 individuals (45.8% pre, 54.2% post), 64% were women, and 84% were seen at triage. While HIV positivity yield between pre- and post-training observation phases was similar (10.9% (269/2470) and 11.1% (207/1865), respectively), we observed an increase in yield in the post-training routine phase for women in triage, rising from 4.8% (74/1553) to 7.3% (61/831) (Yield ratio = 1.54; 95%CI: 1.11-2.14). Age (25-49 years) (OR = 2.43; 95%CI: 1.37-4.33), working in industry/mining (OR = 4.94; 95%CI: 2.17-11.23), unawareness of partner's HIV status (OR = 2.50; 95%CI: 1.91-3.27), and visiting a healer (OR = 1.74; 95%CI: 1.03-2.93) were factors associated with a positive HIV test. Including these factors in the targeted PITC algorithm could have increased new HIV diagnoses by 2.6%. In conclusion, providing refresher training and adapting the current targeted PITC algorithm through further research can help reach undiagnosed PLHIV, treat all, and ultimately eliminate HIV, especially in resource-limited rural areas.

The Effects of Displaying the Time Targets of the Manchester Triage System to Emergency Department Personnel: Prospective Crossover Study.

BACKGROUND: The use of triage systems such as the Manchester Triage System (MTS) is a standard procedure to determine the sequence of treatment in emergency departments (EDs). When using the MTS, time targets for treatment are determined. These are commonly displayed in the ED information system (EDIS) to ED staff. Using measurements as targets has been associated with a decline in meeting those targets. OBJECTIVE: This study investigated the impact of displaying time targets for treatment to physicians on processing times in the ED. METHODS: We analyzed the effects of displaying time targets to ED staff on waiting times in a prospective crossover study, during the introduction of a new EDIS in a large regional hospital in Germany. The old information system version used a module that showed the time target determined by the MTS, while the new system version used a priority list instead. Evaluation was based on 35,167 routinely collected electronic health records from the preintervention period and 10,655 records from the postintervention period. Electronic health records were extracted from the EDIS, and data were analyzed using descriptive statistics and generalized additive models. We evaluated the effects of the intervention on waiting times and the odds of achieving timely treatment according to the time targets set by the MTS. RESULTS: The average ED length of stay and waiting times increased when the EDIS that did not display time targets was used (average time from admission to treatment: preintervention phase=median 15, IQR 6-39 min; postintervention phase=median 11, IQR 5-23 min). However, severe cases with high acuity (as indicated by the triage score) benefited from lower waiting times (0.15 times as high as in the preintervention period for MTS1, only 0.49 as high for MTS2). Furthermore, these patients were less likely to receive delayed treatment, and we observed reduced odds of late treatment when crowding occurred. CONCLUSIONS: Our results suggest that it is beneficial to use a priority list instead of displaying time targets to ED personnel. These time targets may lead to false incentives. Our work highlights that working better is not the same as working faster.

Leveraging graph neural networks for supporting automatic triage of patients.

Patient triage is crucial in emergency departments, ensuring timely and appropriate care based on correctly evaluating the emergency grade of patient conditions. Triage methods are generally performed by human operator based on her own experience and information that are gathered from the patient management process. Thus, it is a process that can generate errors in emergency-level associations. Recently, Traditional triage methods heavily rely on human decisions, which can be subjective and prone to errors. A growing interest has recently been focused on leveraging artificial intelligence (AI) to develop algorithms to maximize information gathering and minimize errors in patient triage processing. We define and implement an AI-based module to manage patients' emergency code assignments in emergency departments. It uses historical data from the emergency department to train the medical decision-making process. Data containing relevant patient information, such as vital signs, symptoms, and medical history, accurately classify patients into triage categories. Experimental results demonstrate that the proposed algorithm achieved high accuracy outperforming traditional triage methods. By using the proposed method, we claim that healthcare professionals can predict severity index to guide patient management processing and resource allocation.

[Phone triage in primary care practices]. / Triage téléphonique en cabinet de médecine de famille.

In primary care medicine for adult or pediatric populations, phone calls from patients or parents are common. The variety of questions is broad, going from simple administrative requests to life-threatening emergencies. The safety of the patient is the main priority when answering these calls. In opposition to emergency departments in hospitals where numerous well-defined triage systems (for example, Swiss Emergency Triage Scale), including clinical exam with vital signs, have been used, it is difficult to find practical guidelines for a safe and efficient phone triage in medical practices. Swiss pediatricians already use a triage book to help them assess the need for emergency care for their young patients. A similar type of resource would be helpful for a safe management of calls in adult medicine.

En cabinet de médecine de famille, adulte ou pédiatrique, les appels téléphoniques de patients ou de leurs proches sont nombreux. Leurs questions sont variées, allant de la simple requête administrative à l'urgence vitale. La sécurité du patient reste la priorité principale dans les réponses apportées lors de ces appels. Contrairement aux systèmes d'urgences hospitalières utilisant de multiples échelles de tri comprenant un examen clinique de base avec signes vitaux (par exemple, Échelle suisse de tri), il existe peu de stratégies pour un triage efficace et sûr en médecine de cabinet. Les pédiatres suisses utilisent actuellement un guide au triage téléphonique visant à cibler correctement les besoins urgents de soins pour leurs jeunes patients. Un équivalent pour la médecine adulte serait une aide supplémentaire pour une prise en charge en toute sécurité.

Patient experience of emergency department triage: An integrative review.

BACKGROUND: Emergency department (ED) triage is often patients' first contact with a health service and a critical point for patient experience. This review aimed to understand patient experience of ED triage and the waiting room. METHODS: A systematic six-stage approach guided the integrative review. Medline, CINAHL, EmCare, Scopus, ProQuest, Cochrane Library, and JBI database were systematically searched for primary research published between 2000-2022 that reported patient experience of ED triage and/or waiting room. Quality was assessed using established critical appraisal tools. Data were analysed for descriptive statistics and themes using the constant comparison method. RESULTS: Twenty-nine articles were included. Studies were mostly observational (n = 17), conducted at a single site (n = 23), and involved low-moderate acuity patients (n = 13). Nine interventions were identified. Five themes emerged: 'the who, what and how of triage', 'the patient as a person', 'to know or not to know', 'the waiting game', and 'to leave or not to leave'. CONCLUSION: Wait times, initiation of assessment and treatment, information provision and interactions with triage staff appeared to have the most impact on patient experience, though patients' desires for each varied. A person-centred approach to triage is recommended.

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.

In-Hospital Triage.

The intensive care unit (ICU) is a finite and expensive resource with demand not infrequently exceeding capacity. Understanding ICU capacity strain is essential to gain situational awareness. Increased capacity strain can influence ICU triage decisions, which rely heavily on clinical judgment. Having an admission and triage protocol with which clinicians are very familiar can mitigate difficult, inappropriate admissions. This article reviews these concepts and methods of in-hospital triage.

Outcomes of Chengdu Pediatric Emergency Triage Criteria: A Retrospective Study of 198,628 Pediatric Patient Records.

BACKGROUND The Chengdu pediatric emergency triage criteria were developed at our hospital and consist of 4 triage levels: immediate treatment (level 1), treatment within 10 min (level 2), treatment within 30 min (level 3), and treatment within 240 min (level 4). This study aimed to evaluate outcomes from the levels 1 to 4 of this triage criteria. MATERIAL AND METHODS A self-designed survey form was used to collect pediatric Emergency Department (ED) patients' general data, including age, sex, and chief concern, and clinical data, including triage level, whether the patient had died, and whether the patient was admitted to our hospital. A total of 198,628 patient records that were triaged during January to May 2022 using Chengdu pediatric emergency triage criteria were included in this retrospective study. The numbers of patients triaged to levels 1, 2, 3, and 4 were 128, 1164, 14,560, and 182,776, respectively. RESULTS Statistically significant differences were found in waiting time for treatment, hospital admission rates, admission conversion rates, and case mix index at admission under different triage levels. The higher the triage priority level, the shorter the waiting time for ED treatment, higher the hospital admission and admission conversion rates, and higher case mix index value. CONCLUSIONS The Chengdu pediatric emergency triage criteria developed and applied within our hospital appears to be characterized by good clinical validity. Equipped with this triage criteria, triage nurses are more capable of determining the severity and emergency of the pediatric ED patients' health conditions and effectively triaging the patients.