Prehospital Scoring Systems Research Articles

A prehospital scoring system for predicting the need for emergent blood product transfusion.

Several tools have been proven to predict the need for massive transfusion in trauma casualties, yet tools that are easily applicable in the prehospital setting for predicting the need for any blood product transfusion in the emergency department (ED) are lacking. A retrospective analysis of the cross-referenced Israeli Defense Forces Trauma Registry and the Israeli National Trauma Registry databases was performed to identify predictors for any blood product transfusion in the ED. A scoring system was developed after internally validating the prediction model. Division to risk groups was performed. Seven variables (systolic blood pressure, heart rate, arterial oxygen saturation, trunk involvement, mechanism of injury, chest decompression, and tourniquet application) were included in the scoring system, ranging from 0 to 11.5. Risk groups for ED transfusion included very low (0.8%), low (3.2%), intermediate (8.5%), and high (31.2%) risk. A scoring system for predicting the need for any blood product transfusion in the ED was developed, based on information readily available in the early stages of prehospital resuscitation, allowing the receiving medical facility to prepare for that need.

Stepwise stroke recognition through clinical information, vital signs, and initial labs (CIVIL): Electronic health record-based observational cohort study.

Stroke recognition systems have been developed to reduce time delays, however, a comprehensive triaging score identifying stroke subtypes is needed to guide appropriate management. We aimed to develop a prehospital scoring system for rapid stroke recognition and identify stroke subtype simultaneously. In prospective database of regional emergency and stroke center, Clinical Information, Vital signs, and Initial Labs (CIVIL) of 1,599 patients suspected of acute stroke was analyzed from an automatically-stored electronic health record. Final confirmation was performed with neuroimaging. Using multiple regression analyses, we determined independent predictors of tier 1 (true-stroke or not), tier 2 (hemorrhagic stroke or not), and tier 3 (emergent large vessel occlusion [ELVO] or not). The diagnostic performance of the stepwise CIVIL scoring system was investigated using internal validation. A new scoring system characterized by a stepwise clinical assessment has been developed in three tiers. Tier 1: Seven CIVIL-AS3A2P items (total score from -7 to +6) were deduced for true stroke as Age (≥ 60 years); Stroke risks without Seizure or psychiatric disease, extreme Sugar; "any Asymmetry", "not Ambulating"; abnormal blood Pressure at a cut-off point ≥ 1 with diagnostic sensitivity of 82.1%, specificity of 56.4%. Tier 2: Four items for hemorrhagic stroke were identified as the CIVIL-MAPS indicating Mental change, Age below 60 years, high blood Pressure, no Stroke risks with cut-point ≥ 2 (sensitivity 47.5%, specificity 85.4%). Tier 3: For ELVO diagnosis: we applied with CIVIL-GFAST items (Gaze, Face, Arm, Speech) with cut-point ≥ 3 (sensitivity 66.5%, specificity 79.8%). The main limitation of this study is its retrospective nature and require a prospective validation of the CIVIL scoring system. The CIVIL score is a comprehensive and versatile system that recognizes strokes and identifies the stroke subtype simultaneously.

The Extremity/Mechanism/Shock Index/GCS (EMS-G) score: A novel pre-hospital scoring system for early and appropriate MTP activation

BackgroundNumerous in-hospital scoring systems to activate massive transfusion protocols (MTP) have been proposed; however, to date, pre-hospital scoring systems have not been robustly validated. Many trauma centers do not have blood or pre-thawed plasma available in the trauma bay, leading to delays in balanced transfusion. This study aims to assess pre-hospital injury and physiologic parameters to develop a pre-hospital scoring system predictive of need for massive transfusion (MT) prior to patient arrival. MethodsA retrospective review of all adult full and partial trauma team activations from July 2014–July 2018 from an urban level 2 trauma center was performed utilizing our trauma registry. Stepwise logistic regression analysis was performed to develop a new scoring system, with point totals assigned proportional to the odds ratios of requiring MT for each variable. Internal validation of the EMS-G score was performed using a subset of the data which was not utilized for development of the scoring system, and sensitivity and specificity were compared to previously validated in-hospital scoring systems applied in the pre-hospital setting. Results763 patients were included with 94 patients (12.3%) receiving early MT, defined as 4 units pRBC in 4 h or ED death. In-hospital models for predicting MT such as Assessment of Blood Consumption (ABC) or Shock Index (SI) have sensitivities and specificities of 46/85% and 94/79% respectively for early MTP utilization based on pre-hospital data. Pre-hospital variables found to be predictive of MT were used to develop the EMS-G (Extremity, Mechanism, Shock Index, GCS) score. This system assigns obvious extremity injury–1-point, penetrating mechanism −2 points, shock index ≥0.9–2 points, GCS ≤8–3 points. A score of 3 or greater was chosen to maximize sensitivity and specificity for pre-hospital MT activation. EMS-G score based on pre-hospital report is 89% sensitive, 84% specific, with a PPV of 44% and NPV of 98% for early MT. Using this system, 25% of full and partial trauma team activations met criteria for pre-hospital MTP activation. ConclusionThe EMS-G Score has increased sensitivity and specificity compared to the ABC Score in the pre-hospital setting and appears more appropriate than shock index alone at predicting massive transfusion. This scoring system allows trauma centers to activate MTP prior to patient arrival to ensure early and appropriate blood product administration without blood product wastage.

New prehospital scoring system for traumatic brain injury to predict mortality and severe disability using motor Glasgow Coma Scale, hypotension, and hypoxia: a nationwide observational study.

ObjectiveAssessing the severity of injury and predicting outcomes are essential in traumatic brain injury (TBI). However, the respiratory rate and Glasgow Coma Scale (GCS) of the Revised Trauma Score (RTS) are difficult to use in the prehospital setting. This investigation aimed to develop a new prehospital trauma score for TBI (NTS-TBI) to predict mortality and disability.MethodsWe used a nationwide trauma database on severe trauma cases transported by fire departments across Korea in 2013 and 2015. NTS-TBI model 1 used systolic blood pressure <90 mmHg, peripheral capillary oxygen saturation <90% measured via pulse oximeter, and motor component of GCS. Model 2 comprised variables of model 1 and age >65 years. We assessed discriminative power via area under the curve (AUC) value for in-hospital mortality and disability defined according to the Glasgow Outcome Scale with scores of 2 or 3. We then compared AUC values of NTS-TBI with those of RTS.ResultsIn total, 3,642 patients were enrolled. AUC values of NTS-TBI models 1 and 2 for mortality were 0.833 (95% confidence interval [CI], 0.815 to 0.852) and 0.852 (95% CI, 0.835 to 0.869), respectively, while AUC values for disability were 0.772 (95% CI, 0.749 to 0.796) and 0.784 (95% CI, 0.761 to 0.807), respectively. AUC values of NTS-TBI model 2 for mortality and disability were higher than those of RTS (0.819 and 0.761, respectively) (P<0.01).ConclusionOur NTS-TBI model using systolic blood pressure, motor component of GCS, oxygen saturation, and age was feasible for prehospital care and showed outstanding discriminative power for mortality.

A Versatile Prehospital Scoring System for Early Stroke Recognition with Clinical Information, Vital Signs, and Initial Laboratory Findings (CIVIL): Electronic Health Record-Based Observational Cohort Study

A Versatile Prehospital Scoring System for Early Stroke Recognition with Clinical Information, Vital Signs, and Initial Laboratory Findings (CIVIL): Electronic Health Record-Based Observational Cohort Study

Correlation Between the Revised Trauma Score and Injury Severity Score: Implications for Prehospital Trauma Triage

Objective: Prehospital triage of the seriously injured patient is fraught with challenges, and trauma scoring systems in current triage guidelines warrant further investigation. The primary objective of this study was to assess the correlation of the physiologically based Revised Trauma Score (RTS) and MGAP score (mechanism of injury, Glasgow Coma Scale, age, blood pressure) with the anatomically based Injury Severity Score (ISS). The secondary objectives for this study were to compare the accuracy of the MGAP score and the RTS for the prediction of in-hospital mortality for trauma patients. Methods: This study was a retrospective cohort including 10 years of patient data in a large single-center trauma registry at a primary adult resource center (Level I) for trauma patients. Participants included adults (age ≥18 years). The primary outcome measure was injury severity (measured by ISS) and a secondary analysis compared the RTS and MGAP for the prediction of patient mortality. Descriptive statistics were used to describe the cohort and correlation methods were employed. Each score’s accuracy for the prediction of mortality was calculated using the area under receiver operating characteristic (AUROC) curves. Results: In total, 43,082 trauma patient records were reviewed; 32,798 patients had complete RTS data available and 32,371 patients had complete data available for MGAP analyses. The correlation between scene RTS and ISS was poor (−.29), as was the correlation between MGAP and ISS (−.28). For the prediction of mortality, admission MGAP demonstrated the highest sensitivity and specificity for mortality (AUROC 0.96; 95% CI, 0.95–0.96). Conclusions: While elements of the RTS remain the first criterion recommended to quantify the totality of physiological injury severity, the composite RTS score derived from this system correlates poorly with actual anatomical injury severity. The MGAP scoring system demonstrated higher sensitivity and specificity for mortality but was not superior to the RTS for predicting anatomical injury severity. In the future development of national and international field triage guidelines for trauma patients, the findings from this study may be considered in order to improve the accuracy of prehospital triage. The findings in this analysis complement a growing body of evidence that suggests that MGAP may be a superior and more easily calculable prehospital scoring system for the prediction of mortality in trauma patients.

Prehospital stroke scales and large vessel occlusion: A systematic review.

Time sensitivity for pharmacological and mechanical arterial recanalization in acute ischemic stroke influences the choice of the reference hospital. The accurate selection and identification of patients with high probability of a large vessel occlusion (LVO) in the prehospital setting improve the rationalization of the transport in the more suitable centers. Aim of this analysis was to determine the diagnostic accuracy of prehospital stroke scales detecting LVO. Studies were searched into MEDLINE, EMBASE, and CINHAL databases between January 1990 and September 2017. Principal measurements of the meta-analysis were the overall accuracy level, sensitivity, and specificity of prehospital stroke scales. Nineteen scoring systems were included in the analysis coming from 13 studies. A total of 9824 patients were considered. Although a higher heterogeneity was observed in the analysis, three scores showed better results in predicting a LVO (the stroke Vision, Aphasia, Neglect assessment, the National Institute of Health Stroke scale and the Los Angeles Motor Scale). We observed significant differences of overall accuracy only for scores including hemineglect as cortical neurological sign (P<.05). This meta-analysis suggests that some prehospital scoring systems including cortical signs showed better accuracy to predict stroke due to LVO. However, the assessment of these signs could be difficult to investigate by paramedics and personnel of Emergency Medical Services, and for this reason, further prospective evaluations are needed.

Validation of the pre-hospital Qatar Early Warning Score (QEWS) to determine transport priority

Background: Ambulance Paramedics are dispatched to all calls while Critical Care Paramedic (CCP) units only attend potentially “life threatening” cases (Priority 1). Ambulance Paramedics (AP) triaged patients based on clinical judgment and experience creating a risk of Priority 1 under or over-triage. QEWS was designed to supplement priority decision-making process based on physiological values used as a trigger to identify patients with a potential risk of deterioration. The objective of this study was to undertake a comparison of the QEWS score calculated from retrospective vital signs data to that of the priority decision-making by ambulance crews. Methods: In our retrospective study, data entered into the Ambulance Service clinical database over a nine-month period before QEWS implementation was analysed for comparison of the priority decision made by the crew for each patient versus the calculated QEWS value based on the first set of six relevant vital signs (Heart rate, Respiratory rate, Systolic blood pressure, Temperature, Oxygen saturation, AVPU). Only cases with patients over 18 years old were included. Results: Of 34,908 retrieved cases, 27,915 (79.97%) had sufficient data to retrospectively determine QEWS. The mean age was 38.62 (+15.84) years and 21,453 (76.85%) were male patients. Priority decision-making correlated in 25,850 cases (92.6%), with 286 (1.11%) Priority 1 and 25,564 (98.89%) Priority 2 patients. In 1,662 cases (5.95%), QEWS retrospectively triaged patients higher and in 1.44%, QEWS triaged patients lower. Conclusions: Physiological variables are an established predictor of risk regarding a patient's condition. Hospital-based early warning scores have been validated and implemented successfully. Only one published pre-hospital scoring system has been validated for triage. Under-triage appears to be a common problem in medical patients. QEWS potentially could address this under-triage issue and appears to be a valid scoring system to implement for prioritising patients to routine or urgent transport, or CCP intervention.

Mainz Emergency Evaluation Scoring in combination with capnometry predicts outcome in trauma patients

This prospective study assessed the efficacy of the predicting power for mortality of two different prehospital scoring systems in trauma patients. We present an improved Mainz Emergency Evaluation Scoring (MEES) in combination with capnometry (MEESc). MEESc is a new scoring system. We compared the prognostic role of outcome of these two prehospital descriptive scoring systems with the prognostic scoring system APACHE II.

Does the Mainz Emergency Evaluation Scoring (MEES) in combination with capnometry (MEESc) help in the prediction of outcome in major trauma

This prospective study examines the efficacy of the predicting power for mortality of two different prehospital scoring systems in major trauma. We present an improved MEES in combination with capnometry. MEES combined with capnometry (MEESc) is a new scoring system.

Adult prehospital scoring systems: a critical review

The goal of trauma triage is to get the right patient to the right place at the right time. In an attempt to achieve this objective numerous authors have developed a variety of prehospital triage tools. Comparative evaluation to determine which of the currently developed triage tools has the greatest predictive power has been prevented mainly because of the varying definitions of major trauma. The use of small data sets and the absence of model validation techniques have also prevented the true worth of these triage tools from being accurately determined. The aim of this article is to critically appraise the major prehospital triage tools.

Adult prehospital scoring systems: a critical review

Adult prehospital scoring systems: a critical review

Prehospital index: A scoring system for field triage of trauma victims

The Prehospital Index (PHI) is a triage-oriented trauma severity scoring system comprising four components: systolic blood pressure, pulse, respiratory status, and level of consciousness, each scored 0 to 5. The PHI was developed after analysis of 313 cases to provide an objective prehospital scoring system for distinguishing less seriously injured patients (minor trauma) from those patients who are likely to die within 72 hours after injury or who require general or neurosurgical operative intervention within 24 hours (major trauma). A PHI of 0 to 3 indicated minor trauma, and a PHI of 4 to 20 signified major trauma. Retrospective analysis of an additional 465 consecutive trauma cases revealed that patients with a PHI of 0 to 3 (minor trauma) had a 0% mortality and a 2% rate of general or neurosurgical operative intervention. Those with a PHI of 4 to 20 (major trauma) carried a 16.4% mortality and an emergency operative rate of 49.1%. The PHI was applied prospectively to 388 consecutive trauma cases presenting to the Butterworth Hospital Emergency Department from October through December 1984. Of the 351 patients scored as minor trauma in the field, there was a 0% mortality and only a 0.3% operative rate. Those scored as major trauma in the field had a mortality of 27% (PHI 4 to 7, 0%; PHI 8 to 20, 53%) and an operative rate of 40.5% (PHI 4 to 7, 22%; PHI 8 to 20, 57.9%). These data demonstrate the ability of the PHI to predict mortality (P less than .001) and the need for emergency general or neurosurgical operative intervention (P less than .001).(ABSTRACT TRUNCATED AT 250 WORDS)