Stevan R Bruijns1,2, Henry R Guly2, Omar Bouamra3, Fiona Lecky2,4, Lee A Wallis1. 1. Division of Emergency Medicine, University of Cape Town, Karl Bremer Hospital, Mike Pienaar Blvd, Bellville, South Africa. 2. Emergency Department, Derriford Hospital, Plymouth Hospitals NHS Trust, Plymouth, UK. 3. Trauma Audit and Research Network, Health Sciences Research Group, Manchester Academic Health Sciences Centre, University of Manchester, Salford Royal Hospital, Salford, UK. 4. Emergency Medicine Research in Sheffield (EMRiS), Health Services Research, School of Health and Related Research, University of Sheffield, Regent's Court, Salford, UK.
Abstract
INTRODUCTION: Traditional vital signs are seen as an important part of trauma assessment, despite their poor predictive value in this regard. OBJECTIVE: This study evaluated whether the difference between systolic blood pressure (SBP), heart rate (HR), respiratory rate (RR) and shock index (SI) taken in the emergency department (ED) and prehospital can predict 48 h mortality postadmission following trauma. METHODS: Retrospective cohort was obtained from the Trauma Audit and Research Network. Subjects were excluded if head or spinal injuries, prehospital intubation or CPR were present. Main outcome was 48 h mortality. The difference (delta, Δ) between ED and prehospital values were used as study variables (ie, ΔSI=SI-ED minus SI-prehospital). Accuracy was assessed using area under receiver operator characteristic curve (AUROC). AUROC coordinates were used to identify 95% specificity cut points and described further using sensitivity and likelihood ratios (LRs). RESULTS: Significant AUROC statistics were revealed for ΔSBP (0.57) and ΔRR (0.56) for the full sample, ΔSBP (0.62) and ΔSI (0.65) for moderate, and ΔRR (0.6) for severe injury. Best LRs were 3.4 and 2.4 for ΔRR and ΔSI, respectively, but sensitivities were low (<=26%). Cut point values for ΔSBP, ΔRR and ΔSI were 37 mm Hg, 8 breaths/min and 0.2, respectively. DISCUSSION: ΔSBP and ΔRR performed best overall, but ΔSI performed best in the moderate injury group, suggesting earlier identification with ΔSI. Use of Δ values result in good rule-in of 48 h mortality and may supplement trauma treatment decisions. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.
INTRODUCTION: Traditional vital signs are seen as an important part of trauma assessment, despite their poor predictive value in this regard. OBJECTIVE: This study evaluated whether the difference between systolic blood pressure (SBP), heart rate (HR), respiratory rate (RR) and shock index (SI) taken in the emergency department (ED) and prehospital can predict 48 h mortality postadmission following trauma. METHODS: Retrospective cohort was obtained from the Trauma Audit and Research Network. Subjects were excluded if head or spinal injuries, prehospital intubation or CPR were present. Main outcome was 48 h mortality. The difference (delta, Δ) between ED and prehospital values were used as study variables (ie, ΔSI=SI-ED minus SI-prehospital). Accuracy was assessed using area under receiver operator characteristic curve (AUROC). AUROC coordinates were used to identify 95% specificity cut points and described further using sensitivity and likelihood ratios (LRs). RESULTS: Significant AUROC statistics were revealed for ΔSBP (0.57) and ΔRR (0.56) for the full sample, ΔSBP (0.62) and ΔSI (0.65) for moderate, and ΔRR (0.6) for severe injury. Best LRs were 3.4 and 2.4 for ΔRR and ΔSI, respectively, but sensitivities were low (<=26%). Cut point values for ΔSBP, ΔRR and ΔSI were 37 mm Hg, 8 breaths/min and 0.2, respectively. DISCUSSION: ΔSBP and ΔRR performed best overall, but ΔSI performed best in the moderate injury group, suggesting earlier identification with ΔSI. Use of Δ values result in good rule-in of 48 h mortality and may supplement trauma treatment decisions. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.
Authors: Nee-Kofi Mould-Millman; Julia Dixon; Andrew Lamp; Shaheem de Vries; Brenda Beaty; Lani Finck; Kathryn Colborn; Kubendhren Moodley; Amanda Skenadore; Russell E Glasgow; Edward P Havranek; Vikhyat S Bebarta; Adit A Ginde Journal: Pilot Feasibility Stud Date: 2019-12-05