Development of a Pediatric Mass Casualty Triage Algorithm Validation Tool

Comparison of prehospital professional accuracy, speed, and interrater reliability of six pediatric triage algorithms

OBJECTIVES

We evaluated prehospital professionals' accuracy, speed, interrater reliability, and impression in a pediatric disaster scenario both without a tool ("No Algorithm"-NA) and with 1 of 5 algorithms: CareFlight (CF), Simple Triage and Rapid Treatment (START) and JumpSTART (J-START), Pediatric Triage Tape (PTT), Sort, Assess, Life-saving interventions, Treatment/Transport (SALT), and Sacco Triage Method (STM).

METHODS

Prehospital professionals received disaster lectures, focusing on 1 triage algorithm. Then they completed a timed tabletop disaster exercise with 25 pediatric victims to measure speed. A predetermined criterion standard was used to assess accuracy of answers. Answers were compared to one another to determine the interrater reliability.

RESULTS

One hundred and seven prehospital professionals participated, with 15-28 prehospital professionals in each group. The accuracy was highest for STM (89.3%; 95% confidence interval [CI] 85.7% to 92.2%) and lowest for PTT (67.8%; 95% CI 63.4% to 72.1%). Accuracy of NA and SALT tended toward undertriage (15.8% and 16.3%, respectively). The remaining algorithms tended to overtriage, with PTT having the highest overtriage percentage (25.8%). The 3 fastest algorithms were: CF, SALT, and NA, all taking 5 minutes or less. STM was the slowest. STM demonstrated the highest interrater reliability, whereas CF and SALT demonstrated the lowest interrater reliability.

CONCLUSIONS

This study demonstrates the most common challenges inherent to mass casualty incident (MCI) triage systems: as accuracy and prehospital professional interrater reliability improve, speed slows. No triage algorithm in our study excelled in all these measures. Additional investigation of these algorithms in larger MCI drills requiring collection of vital signs in real time or during a real MCI event is needed.

Paediatric patients in mass casualty incidents: a comprehensive review and call to action

The paediatric population is disproportionately affected during mass casualty incidents (MCIs). Several unique characteristics of children merit special attention during natural and man-made disasters because of their age, physiology, and vulnerability. Paediatric anaesthesiologists play a critical part of MCI care for this population, yet there is a deficit of publications within the anaesthesia literature addressing paediatric-specific MCI concerns. This narrative review article analyses paediatric MCI considerations and compares differing aspects between care provision in Australia, the UK, and the USA. We integrate some of the potential roles for anaesthesiologists with paediatric experience, which include preparation, command consultation, in-field care, pre-hospital transport duties, and emergency department, operating theatre, and ICU opportunities. Finally, we propose several methods by which anaesthesiologists can improve their contribution to paediatric MCI care through personal education, training, and institutional involvement.

Comparative analysis of major incident triage tools in children: a UK population-based analysis

INTRODUCTION

Triage is a key principle in the effective management of major incidents. There is currently a paucity of evidence to guide the triage of children. The aim of this study was to perform a comparative analysis of nine adult and paediatric triage tools, including the novel 'Sheffield Paediatric Triage Tool' (SPTT), assessing their ability in identifying patients needing life-saving interventions (LSIs).

METHODS

A 10-year (2008-2017) retrospective database review of the Trauma Audit Research Network (TARN) Database for paediatric patients (<16 years) was performed. Primary outcome was identification of patients receiving one or more LSIs from a previously defined list. Secondary outcomes included mortality and prediction of Injury Severity Score (ISS) >15. Primary analysis was conducted on patients with complete prehospital physiological data with planned secondary analyses using first recorded data. Performance characteristics were evaluated using sensitivity, specificity, undertriage and overtriage.

RESULTS

15 133 patients met TARN inclusion criteria. 4962 (32.8%) had complete prehospital physiological data and 8255 (54.5%) had complete first recorded physiological data. The majority of patients were male (69.5%), with a median age of 11.9 years. The overwhelming majority of patients (95.4%) sustained blunt trauma, yielding a median ISS of 9 and overall, 875 patients (17.6%) received at least one LSI. The SPTT demonstrated the greatest sensitivity of all triage tools at identifying need for LSI (92.2%) but was associated with the highest rate of overtriage (75.0%). Both the Paediatric Triage Tape (sensitivity 34.1%) and JumpSTART (sensitivity 45.0%) performed less well at identifying LSI. By contrast, the adult Modified Physiological Triage Tool-24 (MPTT-24) triage tool had the second highest sensitivity (80.8%) with tolerable rates of overtriage (70.2%).

CONCLUSION

The SPTT and MPTT-24 outperform existing paediatric triage tools at identifying those patients requiring LSIs. This may necessitate a change in recommended practice. Further work is needed to determine the optimum method of paediatric major incident triage, but consideration should be given to simplifying major incident triage by the use of one generic tool (the MPTT-24) for adults and children.

Comparison of Outcome Tools Used to Test Mass-Casualty Algorithms in the Pediatric Population

INTRODUCTION

Mass-casualty incident (MCI) algorithms are used to sort large numbers of patients rapidly into four basic categories based on severity. To date, there is no consensus on the best method to test the accuracy of an MCI algorithm in the pediatric population, nor on the agreement between different tools designed for this purpose.

STUDY OBJECTIVE

This study is to compare agreement between the Criteria Outcomes Tool (COT) to previously published outcomes tools in assessing the triage category applied to a simulated set of pediatric MCI patients.

METHODS

An MCI triage category (black, red, yellow, and green) was applied to patients from a pre-collected retrospective cohort of pediatric patients under 14 years of age brought in as a trauma activation to a Level I trauma center from July 2010 through November 2013 using each of the following outcome measures: COT, modified Baxt score, modified Baxt combined with mortality and/or length-of-stay (LOS), ambulatory status, mortality alone, and Injury Severity Score (ISS). Descriptive statistics were applied to determine agreement between tools.

RESULTS

A total of 247 patients were included, ranging from 25 days to 13 years of age. The outcome of mortality had 100% agreement with the COT black. The "modified Baxt positive and alive" outcome had the highest agreement with COT red (65%). All yellow outcomes had 47%-53% agreement with COT yellow. "Modified Baxt negative and <24 hours LOS" had the highest agreement with the COT green at 89%.

CONCLUSIONS

Assessment of algorithms for triaging pediatric MCI patients is complicated by the lack of a gold standard outcome tool and variability between existing measures.

Prehospital Disaster Triage Does Not Predict Pediatric Outcomes: Comparing the Criteria Outcomes Tool to Three Mass-Casualty Incident Triage Algorithms

INTRODUCTION

It remains unclear which mass-casualty incident (MCI) triage tool best predicts outcomes for child disaster victims.

STUDY OBJECTIVES

The primary objective of this study was to compare triage outcomes of Simple Triage and Rapid Treatment (START), modified START, and CareFlight in pediatric patients to an outcomes-based gold standard using the Criteria Outcomes Tool (COT). The secondary outcomes were sensitivity, specificity, under-triage, over-triage, and overall accuracy at each level for each MCI triage algorithm.

METHODS

Singleton trauma patients under 16 years of age with complete prehospital, emergency department (ED), and in-patient data were identified in the 2007-2009 National Trauma Data Bank (NTDB). The COT outcomes and procedures were translated into ICD-9 procedure codes with added timing criteria. Gold standard triage levels were assigned using the COT based on outcomes, including mortality, injury type, admission to the hospital, and surgical procedures. Comparison triage levels were determined based on algorithmic depictions of the three MCI triage tools.

RESULTS

A total of 31,093 patients with complete data were identified from the NTDB. The COT was applied to these patients, and the breakdown of gold standard triage levels, based on their actual clinical outcomes, was: 17,333 (55.7%) GREEN; 11,587 (37.3%) YELLOW; 1,572 (5.1%) RED; and 601 (1.9%) BLACK. CareFlight had the best sensitivity for predicting COT outcomes for BLACK (83% [95% confidence interval, 80%-86%]) and GREEN patients (79% [95% CI, 79%-80%]) and the best specificity for RED patients (89% [95% CI, 89%-90%]).

CONCLUSION

Among three prehospital MCI triage tools, CareFlight had the best performance for correlating with outcomes in the COT. Overall, none of three tools had good test characteristics for predicting pediatric patient needs for surgical procedures or hospital admission.

Validation of the Pediatric Physiological and Anatomical Triage Score in Injured Pediatric Patients

Introduction:

Triaging plays an important role in providing suitable care to a large number of casualties in a disaster setting. A Pediatric Physiological and Anatomical Triage Score (PPATS) was developed as a new secondary triage method. This study aimed to validate the accuracy of the PPATS in identifying injured pediatric patients who are admitted at a high frequency and require immediate treatment in a disaster setting. The PPATS method was also compared with the current triage methods, such as the Triage Revised Trauma Score (TRTS).

Methods:

A retrospective review of pediatric patients aged ≤15 years, registered in the Japan Trauma Data Bank (JTDB) from 2012 through 2016, was conducted and PPATS was performed. The PPATS method graded patients from zero to 22, and was calculated based on vital signs, anatomical abnormalities, and the need for life-saving interventions. It categorized patients based on their priority, and the intensive care unit (ICU)-indicated patients were assigned a PPATS ≥six. The accuracy of PPATS and TRTS in predicting the outcome of ICU-indicated patients was compared.

Results:

Of 2,005 pediatric patients, 1,002 (50%) were admitted to the ICU. The median age of the patients was nine years (interquartile range [IQR]: 6-13 years). The sensitivity and specificity of PPATS were 78.6% and 43.7%, respectively. The area under the receiver-operating characteristic (ROC) curve (AUC) was larger for PPATS (0.61; 95% confidence interval [CI], 0.59-0.63) than for TRTS (0.57; 95% CI, 0.56-0.59; P &lt;.01). Regression analysis showed a significant correlation between PPATS and the Injury Severity Score (ISS; r2 = 0.353; P &lt;.001), predicted survival rate (r2 = 0.396; P &lt;.001), and duration of hospital stay (r2 = 0.252; P &lt;.001).

Conclusion:

The accuracy of PPATS for injured pediatric patients was superior to that of current secondary triage methods. The PPATS method is useful not only for identifying high-priority patients, but also for determining the priority ranking for medical treatments and evacuation.

Introduction of Pediatric Physiological and Anatomical Triage Score in Mass-Casualty Incident

BACKGROUND

Triage has an important role in providing suitable care to the largest number of casualties in a disaster setting, but there are no secondary triage methods suitable for children. This study developed a new secondary triage method named the Pediatric Physiological and Anatomical Triage Score (PPATS) and compared its accuracy with current triage methods.

METHODS

A retrospective chart review of pediatric patients under 16 years old transferred to an emergency center from 2014 to 2016 was performed. The PPATS categorized the patients, defined the intensive care unit (ICU)-indicated patients if the category was highest, and compared the accuracy of prediction of ICU-indicated patients among PPATS, Physiological and Anatomical Triage (PAT), and Triage Revised Trauma Score (TRTS).

RESULTS

Among 137 patients, 24 (17.5%) were admitted to ICU. The median PPATS score of these patients was significantly higher than that of patients not admitted to ICU (11 [IQR: 9-13] versus three [IQR: 2-4]; P<.001). The optimal cut-off value of the PPTAS was six, yielding a sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of 95.8%, 86.7%, 60.5%, and 99.0%. The area under the receiver-operating characteristic curve (AUC) was larger for PPTAS than for PAT or TRTS (0.95 [95% CI, 0.87-1.00] versus 0.65 [95% CI, 0.58-0.72]; P<.001 and 0.79 [95% CI, 0.69-0.89]; P=.003, respectively). Regression analysis showed a significant association between the PPATS and the predicted mortality rate (r2=0.139; P<.001), ventilation time (r2=0.320; P<.001), ICU stay (r2=0.362; P<.001), and hospital stay (r2=0.308; P<.001).

CONCLUSIONS

The accuracy of PPATS was superior to other methods for secondary triage of children. Toida C , Muguruma T , Abe T , Shinohara M , Gakumazawa M , Yogo N , Shirasawa A , Morimura N . Introduction of pediatric physiological and anatomical triage score in mass-casualty incident. Prehosp Disaster Med. 2018;33(2):147-152.