The Predictive Value of Field versus Arrival Glasgow Coma Scale Score and TRISS Calculations in Moderate-to-Severe Traumatic Brain Injury

BACKGROUND:Glasgow Coma Scale (GCS) scores are widely used to quantify level of consciousness in the prehospital environment. The predictive value of field versus arrival GCS is not well defined but has tremendous implications with regard to triage and therapeutic decisions as well as the use of var...

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Veröffentlicht in:The Journal of trauma, injury, infection, and critical care injury, infection, and critical care, 2006-05, Vol.60 (5), p.985-990
Hauptverfasser: Davis, Daniel P., Serrano, Jennifer A., Vilke, Gary M., Sise, Michael J., Kennedy, Frank, Eastman, A Brent, Velky, Thomas, Hoyt, David B.
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container_end_page 990
container_issue 5
container_start_page 985
container_title The Journal of trauma, injury, infection, and critical care
container_volume 60
creator Davis, Daniel P.
Serrano, Jennifer A.
Vilke, Gary M.
Sise, Michael J.
Kennedy, Frank
Eastman, A Brent
Velky, Thomas
Hoyt, David B.
description BACKGROUND:Glasgow Coma Scale (GCS) scores are widely used to quantify level of consciousness in the prehospital environment. The predictive value of field versus arrival GCS is not well defined but has tremendous implications with regard to triage and therapeutic decisions as well as the use of various predictive scoring systems, such as Trauma Score and Injury Severity Score (TRISS). This study explores the predictive value of field GCS (fGCS) and arrival GCS (aGCS) as well as TRISS calculations using field (fTRISS) and arrival (aTRISS) data in patients with moderate-to-severe traumatic brain injury (TBI). METHODS:Major trauma victims with head Abbreviated Injury Scores of 3 or greater were identified from our county trauma registry over a 16-year period. The predictive ability of fGCS with regard to aGCS was explored using univariate statistics and linear regression modeling. The difference between aGCS and fGCS was also modeled against mortality and the composite endpoint using logistic regression, adjusting for fGCS. The predictive value of preadmission GCS (pGCS), defined as either fGCS or aGCS in nonintubated patients without a documented fGCS, with regard to mortality and a composite endpoint representing the need for neurosurgical care (death, craniotomy, invasive intracranial pressure monitoring, or intensive care unit care >48 hours) was determined using receiver-operator curve (ROC) analysis. Finally, fTRISS and aTRISS predicted survival values were compared with each other and to observed survival. RESULTS:A total of 12,882 patients were included. Mean values for fGCS and aGCS were similar (11.4 and 11.5, respectively, p = 0.336), and a strong correlation (r = 0.67, 95% CI 0.66–0.69, p < 0.0001) was observed between them. The difference between fGCS and aGCS was also predictive of outcome after adjusting for fGCS. Good predictive ability was observed for pGCS with regard to both mortality and neurosurgical intervention. Both fTRISS and aTRISS predicted survival values were nearly identical to observed survival. Observed and fTRISS predicted survival were nearly identical in patients undergoing prehospital intubation CONCLUSIONS:Values for fGCS are highly predictive of aGCS, and both are associated with outcome from TBI. A change in GCS from the field to arrival is highly predictive of outcome. The use of field data for TRISS calculations appears to be a valid methodological approach, even in severely injured TBI patients undergoing prehospital
doi_str_mv 10.1097/01.ta.0000205860.96209.1c
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The predictive value of field versus arrival GCS is not well defined but has tremendous implications with regard to triage and therapeutic decisions as well as the use of various predictive scoring systems, such as Trauma Score and Injury Severity Score (TRISS). This study explores the predictive value of field GCS (fGCS) and arrival GCS (aGCS) as well as TRISS calculations using field (fTRISS) and arrival (aTRISS) data in patients with moderate-to-severe traumatic brain injury (TBI). METHODS:Major trauma victims with head Abbreviated Injury Scores of 3 or greater were identified from our county trauma registry over a 16-year period. The predictive ability of fGCS with regard to aGCS was explored using univariate statistics and linear regression modeling. The difference between aGCS and fGCS was also modeled against mortality and the composite endpoint using logistic regression, adjusting for fGCS. The predictive value of preadmission GCS (pGCS), defined as either fGCS or aGCS in nonintubated patients without a documented fGCS, with regard to mortality and a composite endpoint representing the need for neurosurgical care (death, craniotomy, invasive intracranial pressure monitoring, or intensive care unit care &gt;48 hours) was determined using receiver-operator curve (ROC) analysis. Finally, fTRISS and aTRISS predicted survival values were compared with each other and to observed survival. RESULTS:A total of 12,882 patients were included. Mean values for fGCS and aGCS were similar (11.4 and 11.5, respectively, p = 0.336), and a strong correlation (r = 0.67, 95% CI 0.66–0.69, p &lt; 0.0001) was observed between them. The difference between fGCS and aGCS was also predictive of outcome after adjusting for fGCS. Good predictive ability was observed for pGCS with regard to both mortality and neurosurgical intervention. Both fTRISS and aTRISS predicted survival values were nearly identical to observed survival. Observed and fTRISS predicted survival were nearly identical in patients undergoing prehospital intubation CONCLUSIONS:Values for fGCS are highly predictive of aGCS, and both are associated with outcome from TBI. A change in GCS from the field to arrival is highly predictive of outcome. The use of field data for TRISS calculations appears to be a valid methodological approach, even in severely injured TBI patients undergoing prehospital intubation.</description><identifier>ISSN: 0022-5282</identifier><identifier>EISSN: 1529-8809</identifier><identifier>DOI: 10.1097/01.ta.0000205860.96209.1c</identifier><identifier>PMID: 16688059</identifier><language>eng</language><publisher>Hagerstown, MD: Lippincott Williams &amp; Wilkins, Inc</publisher><subject>Biological and medical sciences ; Brain Injuries - classification ; Brain Injuries - diagnosis ; Brain Injuries - mortality ; Brain Injuries - surgery ; California ; Diseases of the osteoarticular system ; Disorders of higher nervous function. Focal brain diseases. Central vestibular syndrome and deafness. Brain stem syndromes ; Emergency Medical Services ; Emergency Medical Technicians ; Emergency Service, Hospital ; Glasgow Coma Scale ; Hospital Mortality ; Humans ; Injuries of the nervous system and the skull. Diseases due to physical agents ; Injury Severity Score ; Medical sciences ; Nervous system (semeiology, syndromes) ; Neurology ; Prognosis ; Registries ; Regression Analysis ; Reproducibility of Results ; Retrospective Studies ; ROC Curve ; Statistics as Topic ; Survival Analysis ; Trauma Severity Indices ; Traumas. Diseases due to physical agents ; Unconsciousness - classification ; Unconsciousness - diagnosis ; Unconsciousness - mortality</subject><ispartof>The Journal of trauma, injury, infection, and critical care, 2006-05, Vol.60 (5), p.985-990</ispartof><rights>2006 Lippincott Williams &amp; Wilkins, Inc.</rights><rights>2006 INIST-CNRS</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4569-d4fd3b94030bf8d98060e06a10293e4cc606d1e5510ae43e238f5d55eddeb8373</citedby><cites>FETCH-LOGICAL-c4569-d4fd3b94030bf8d98060e06a10293e4cc606d1e5510ae43e238f5d55eddeb8373</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=17795028$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/16688059$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Davis, Daniel P.</creatorcontrib><creatorcontrib>Serrano, Jennifer A.</creatorcontrib><creatorcontrib>Vilke, Gary M.</creatorcontrib><creatorcontrib>Sise, Michael J.</creatorcontrib><creatorcontrib>Kennedy, Frank</creatorcontrib><creatorcontrib>Eastman, A Brent</creatorcontrib><creatorcontrib>Velky, Thomas</creatorcontrib><creatorcontrib>Hoyt, David B.</creatorcontrib><title>The Predictive Value of Field versus Arrival Glasgow Coma Scale Score and TRISS Calculations in Moderate-to-Severe Traumatic Brain Injury</title><title>The Journal of trauma, injury, infection, and critical care</title><addtitle>J Trauma</addtitle><description>BACKGROUND:Glasgow Coma Scale (GCS) scores are widely used to quantify level of consciousness in the prehospital environment. The predictive value of field versus arrival GCS is not well defined but has tremendous implications with regard to triage and therapeutic decisions as well as the use of various predictive scoring systems, such as Trauma Score and Injury Severity Score (TRISS). This study explores the predictive value of field GCS (fGCS) and arrival GCS (aGCS) as well as TRISS calculations using field (fTRISS) and arrival (aTRISS) data in patients with moderate-to-severe traumatic brain injury (TBI). METHODS:Major trauma victims with head Abbreviated Injury Scores of 3 or greater were identified from our county trauma registry over a 16-year period. The predictive ability of fGCS with regard to aGCS was explored using univariate statistics and linear regression modeling. The difference between aGCS and fGCS was also modeled against mortality and the composite endpoint using logistic regression, adjusting for fGCS. The predictive value of preadmission GCS (pGCS), defined as either fGCS or aGCS in nonintubated patients without a documented fGCS, with regard to mortality and a composite endpoint representing the need for neurosurgical care (death, craniotomy, invasive intracranial pressure monitoring, or intensive care unit care &gt;48 hours) was determined using receiver-operator curve (ROC) analysis. Finally, fTRISS and aTRISS predicted survival values were compared with each other and to observed survival. RESULTS:A total of 12,882 patients were included. Mean values for fGCS and aGCS were similar (11.4 and 11.5, respectively, p = 0.336), and a strong correlation (r = 0.67, 95% CI 0.66–0.69, p &lt; 0.0001) was observed between them. The difference between fGCS and aGCS was also predictive of outcome after adjusting for fGCS. Good predictive ability was observed for pGCS with regard to both mortality and neurosurgical intervention. Both fTRISS and aTRISS predicted survival values were nearly identical to observed survival. Observed and fTRISS predicted survival were nearly identical in patients undergoing prehospital intubation CONCLUSIONS:Values for fGCS are highly predictive of aGCS, and both are associated with outcome from TBI. A change in GCS from the field to arrival is highly predictive of outcome. The use of field data for TRISS calculations appears to be a valid methodological approach, even in severely injured TBI patients undergoing prehospital intubation.</description><subject>Biological and medical sciences</subject><subject>Brain Injuries - classification</subject><subject>Brain Injuries - diagnosis</subject><subject>Brain Injuries - mortality</subject><subject>Brain Injuries - surgery</subject><subject>California</subject><subject>Diseases of the osteoarticular system</subject><subject>Disorders of higher nervous function. Focal brain diseases. Central vestibular syndrome and deafness. Brain stem syndromes</subject><subject>Emergency Medical Services</subject><subject>Emergency Medical Technicians</subject><subject>Emergency Service, Hospital</subject><subject>Glasgow Coma Scale</subject><subject>Hospital Mortality</subject><subject>Humans</subject><subject>Injuries of the nervous system and the skull. Diseases due to physical agents</subject><subject>Injury Severity Score</subject><subject>Medical sciences</subject><subject>Nervous system (semeiology, syndromes)</subject><subject>Neurology</subject><subject>Prognosis</subject><subject>Registries</subject><subject>Regression Analysis</subject><subject>Reproducibility of Results</subject><subject>Retrospective Studies</subject><subject>ROC Curve</subject><subject>Statistics as Topic</subject><subject>Survival Analysis</subject><subject>Trauma Severity Indices</subject><subject>Traumas. Diseases due to physical agents</subject><subject>Unconsciousness - classification</subject><subject>Unconsciousness - diagnosis</subject><subject>Unconsciousness - mortality</subject><issn>0022-5282</issn><issn>1529-8809</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpFkd9u0zAUxiMEYmXwCshcwF3CcRIn9uWo2Kg0BKKFW-vUPqEZTjzspNUegbfGWyvVF7aO_Tt__H1Z9o5DwUG1H4EXExaQVglCNlCopgRVcPMsW3BRqlxKUM-zRXovc1HK8iJ7FeNd4uu6ki-zC940CRFqkf3b7Ih9D2R7M_V7Yr_QzcR8x657cpbtKcQ5sqsQ-j06duMw_vYHtvQDsrVBR2n3gRiOlm1-rNZrtkRnZodT78fI-pF99ZYCTpRPPl9TqkdsE3AeEmHYp4AJWY13c3h4nb3o0EV6czovs5_XnzfLL_ntt5vV8uo2N7VoVG7rzlZbVUMF205aJaEBggY5lKqi2pgGGstJCA5IdUVlJTthhSBraSurtrrMPhzr3gf_d6Y46aGPhpzDkfwcddMq0QIXCVRH0AQfY6BO34d-wPCgOehHHzRwPaE--6CffNDcpNy3pybzdiB7zjwJn4D3JwBj0rELOJo-nrk2TQGlTFx95A7eTcmMP24-UNA7QjftnlqL9Ke8hCSDSFH-eKWq_xGcoZA</recordid><startdate>200605</startdate><enddate>200605</enddate><creator>Davis, Daniel P.</creator><creator>Serrano, Jennifer A.</creator><creator>Vilke, Gary M.</creator><creator>Sise, Michael J.</creator><creator>Kennedy, Frank</creator><creator>Eastman, A Brent</creator><creator>Velky, Thomas</creator><creator>Hoyt, David B.</creator><general>Lippincott Williams &amp; Wilkins, Inc</general><general>Lippincott Williams &amp; Wilkins</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>200605</creationdate><title>The Predictive Value of Field versus Arrival Glasgow Coma Scale Score and TRISS Calculations in Moderate-to-Severe Traumatic Brain Injury</title><author>Davis, Daniel P. ; Serrano, Jennifer A. ; Vilke, Gary M. ; Sise, Michael J. ; Kennedy, Frank ; Eastman, A Brent ; Velky, Thomas ; Hoyt, David B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4569-d4fd3b94030bf8d98060e06a10293e4cc606d1e5510ae43e238f5d55eddeb8373</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Biological and medical sciences</topic><topic>Brain Injuries - classification</topic><topic>Brain Injuries - diagnosis</topic><topic>Brain Injuries - mortality</topic><topic>Brain Injuries - surgery</topic><topic>California</topic><topic>Diseases of the osteoarticular system</topic><topic>Disorders of higher nervous function. Focal brain diseases. Central vestibular syndrome and deafness. Brain stem syndromes</topic><topic>Emergency Medical Services</topic><topic>Emergency Medical Technicians</topic><topic>Emergency Service, Hospital</topic><topic>Glasgow Coma Scale</topic><topic>Hospital Mortality</topic><topic>Humans</topic><topic>Injuries of the nervous system and the skull. Diseases due to physical agents</topic><topic>Injury Severity Score</topic><topic>Medical sciences</topic><topic>Nervous system (semeiology, syndromes)</topic><topic>Neurology</topic><topic>Prognosis</topic><topic>Registries</topic><topic>Regression Analysis</topic><topic>Reproducibility of Results</topic><topic>Retrospective Studies</topic><topic>ROC Curve</topic><topic>Statistics as Topic</topic><topic>Survival Analysis</topic><topic>Trauma Severity Indices</topic><topic>Traumas. Diseases due to physical agents</topic><topic>Unconsciousness - classification</topic><topic>Unconsciousness - diagnosis</topic><topic>Unconsciousness - mortality</topic><toplevel>online_resources</toplevel><creatorcontrib>Davis, Daniel P.</creatorcontrib><creatorcontrib>Serrano, Jennifer A.</creatorcontrib><creatorcontrib>Vilke, Gary M.</creatorcontrib><creatorcontrib>Sise, Michael J.</creatorcontrib><creatorcontrib>Kennedy, Frank</creatorcontrib><creatorcontrib>Eastman, A Brent</creatorcontrib><creatorcontrib>Velky, Thomas</creatorcontrib><creatorcontrib>Hoyt, David B.</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>The Journal of trauma, injury, infection, and critical care</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Davis, Daniel P.</au><au>Serrano, Jennifer A.</au><au>Vilke, Gary M.</au><au>Sise, Michael J.</au><au>Kennedy, Frank</au><au>Eastman, A Brent</au><au>Velky, Thomas</au><au>Hoyt, David B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Predictive Value of Field versus Arrival Glasgow Coma Scale Score and TRISS Calculations in Moderate-to-Severe Traumatic Brain Injury</atitle><jtitle>The Journal of trauma, injury, infection, and critical care</jtitle><addtitle>J Trauma</addtitle><date>2006-05</date><risdate>2006</risdate><volume>60</volume><issue>5</issue><spage>985</spage><epage>990</epage><pages>985-990</pages><issn>0022-5282</issn><eissn>1529-8809</eissn><abstract>BACKGROUND:Glasgow Coma Scale (GCS) scores are widely used to quantify level of consciousness in the prehospital environment. The predictive value of field versus arrival GCS is not well defined but has tremendous implications with regard to triage and therapeutic decisions as well as the use of various predictive scoring systems, such as Trauma Score and Injury Severity Score (TRISS). This study explores the predictive value of field GCS (fGCS) and arrival GCS (aGCS) as well as TRISS calculations using field (fTRISS) and arrival (aTRISS) data in patients with moderate-to-severe traumatic brain injury (TBI). METHODS:Major trauma victims with head Abbreviated Injury Scores of 3 or greater were identified from our county trauma registry over a 16-year period. The predictive ability of fGCS with regard to aGCS was explored using univariate statistics and linear regression modeling. The difference between aGCS and fGCS was also modeled against mortality and the composite endpoint using logistic regression, adjusting for fGCS. The predictive value of preadmission GCS (pGCS), defined as either fGCS or aGCS in nonintubated patients without a documented fGCS, with regard to mortality and a composite endpoint representing the need for neurosurgical care (death, craniotomy, invasive intracranial pressure monitoring, or intensive care unit care &gt;48 hours) was determined using receiver-operator curve (ROC) analysis. Finally, fTRISS and aTRISS predicted survival values were compared with each other and to observed survival. RESULTS:A total of 12,882 patients were included. Mean values for fGCS and aGCS were similar (11.4 and 11.5, respectively, p = 0.336), and a strong correlation (r = 0.67, 95% CI 0.66–0.69, p &lt; 0.0001) was observed between them. The difference between fGCS and aGCS was also predictive of outcome after adjusting for fGCS. Good predictive ability was observed for pGCS with regard to both mortality and neurosurgical intervention. Both fTRISS and aTRISS predicted survival values were nearly identical to observed survival. Observed and fTRISS predicted survival were nearly identical in patients undergoing prehospital intubation CONCLUSIONS:Values for fGCS are highly predictive of aGCS, and both are associated with outcome from TBI. A change in GCS from the field to arrival is highly predictive of outcome. The use of field data for TRISS calculations appears to be a valid methodological approach, even in severely injured TBI patients undergoing prehospital intubation.</abstract><cop>Hagerstown, MD</cop><pub>Lippincott Williams &amp; Wilkins, Inc</pub><pmid>16688059</pmid><doi>10.1097/01.ta.0000205860.96209.1c</doi><tpages>6</tpages></addata></record>
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subjects Biological and medical sciences
Brain Injuries - classification
Brain Injuries - diagnosis
Brain Injuries - mortality
Brain Injuries - surgery
California
Diseases of the osteoarticular system
Disorders of higher nervous function. Focal brain diseases. Central vestibular syndrome and deafness. Brain stem syndromes
Emergency Medical Services
Emergency Medical Technicians
Emergency Service, Hospital
Glasgow Coma Scale
Hospital Mortality
Humans
Injuries of the nervous system and the skull. Diseases due to physical agents
Injury Severity Score
Medical sciences
Nervous system (semeiology, syndromes)
Neurology
Prognosis
Registries
Regression Analysis
Reproducibility of Results
Retrospective Studies
ROC Curve
Statistics as Topic
Survival Analysis
Trauma Severity Indices
Traumas. Diseases due to physical agents
Unconsciousness - classification
Unconsciousness - diagnosis
Unconsciousness - mortality
title The Predictive Value of Field versus Arrival Glasgow Coma Scale Score and TRISS Calculations in Moderate-to-Severe Traumatic Brain Injury
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