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Continuous Vital Sign Analysis to Predict Secondary Neurological Decline After Traumatic Brain Injury

Background: In the acute resuscitation period after traumatic brain injury (TBI), one of the goals is to identify those at risk for secondary neurological decline (ND), represented by a constellation of clinical signs that can be identified as objective events related to secondary brain injury and i...

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Autores principales: Melinosky, Christopher, Yang, Shiming, Hu, Peter, Li, HsiaoChi, Miller, Catriona H. T., Khan, Imad, Mackenzie, Colin, Chang, Wan-Tsu, Parikh, Gunjan, Stein, Deborah, Badjatia, Neeraj
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6167472/
https://www.ncbi.nlm.nih.gov/pubmed/30319521
http://dx.doi.org/10.3389/fneur.2018.00761
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author Melinosky, Christopher
Yang, Shiming
Hu, Peter
Li, HsiaoChi
Miller, Catriona H. T.
Khan, Imad
Mackenzie, Colin
Chang, Wan-Tsu
Parikh, Gunjan
Stein, Deborah
Badjatia, Neeraj
author_facet Melinosky, Christopher
Yang, Shiming
Hu, Peter
Li, HsiaoChi
Miller, Catriona H. T.
Khan, Imad
Mackenzie, Colin
Chang, Wan-Tsu
Parikh, Gunjan
Stein, Deborah
Badjatia, Neeraj
author_sort Melinosky, Christopher
collection PubMed
description Background: In the acute resuscitation period after traumatic brain injury (TBI), one of the goals is to identify those at risk for secondary neurological decline (ND), represented by a constellation of clinical signs that can be identified as objective events related to secondary brain injury and independently impact outcome. We investigated whether continuous vital sign variability and waveform analysis of the electrocardiogram (ECG) or photoplethysmogram (PPG) within the first hour of resuscitation may enhance the ability to predict ND in the initial 48 hours after traumatic brain injury (TBI). Methods: Retrospective analysis of ND in TBI patients enrolled in the prospective Oximetry and Noninvasive Predictors Of Intervention Need after Trauma (ONPOINT) study. ND was defined as any of the following occurring in the first 48 h: new asymmetric pupillary dilatation (>2 mm), 2 point GCS decline, interval worsening of CT scan as assessed by the Marshall score, or intervention for cerebral edema. Beat-to-beat variation of ECG or PPG, as well as waveform features during the first 15 and 60 min after arrival in the TRU were analyzed to determine physiologic parameters associated with future ND. Physiologic and admission clinical variables were combined in multivariable logistic regression models predicting ND and inpatient mortality. Results: There were 33 (17%) patients with ND among 191 patients (mean age 43 years old, GCS 13, ISS 12, 69% men) who met study criteria. ND was associated with ICU admission (P < 0.001) and inpatient mortality (P < 0.001). Both ECG (AUROC: 0.84, 95% CI: 0.76,0.93) and PPG (AUROC: 0.87, 95% CI: 0.80, 0.93) analyses during the first 15 min of resuscitation demonstrated a greater ability to predict ND then clinical characteristics alone (AUROC: 0.69, 95% CI: 0.59, 0.8). Age (P = 0.02), Marshall score (P = 0.001), penetrating injury (P = 0.02), and predictive probability for ND by PPG analysis at 15 min (P = 0.03) were independently associated with inpatient mortality. Conclusions: Analysis of variability and ECG or PPG waveform in the first minutes of resuscitation may represent a non-invasive early marker of future ND.
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spelling pubmed-61674722018-10-12 Continuous Vital Sign Analysis to Predict Secondary Neurological Decline After Traumatic Brain Injury Melinosky, Christopher Yang, Shiming Hu, Peter Li, HsiaoChi Miller, Catriona H. T. Khan, Imad Mackenzie, Colin Chang, Wan-Tsu Parikh, Gunjan Stein, Deborah Badjatia, Neeraj Front Neurol Neurology Background: In the acute resuscitation period after traumatic brain injury (TBI), one of the goals is to identify those at risk for secondary neurological decline (ND), represented by a constellation of clinical signs that can be identified as objective events related to secondary brain injury and independently impact outcome. We investigated whether continuous vital sign variability and waveform analysis of the electrocardiogram (ECG) or photoplethysmogram (PPG) within the first hour of resuscitation may enhance the ability to predict ND in the initial 48 hours after traumatic brain injury (TBI). Methods: Retrospective analysis of ND in TBI patients enrolled in the prospective Oximetry and Noninvasive Predictors Of Intervention Need after Trauma (ONPOINT) study. ND was defined as any of the following occurring in the first 48 h: new asymmetric pupillary dilatation (>2 mm), 2 point GCS decline, interval worsening of CT scan as assessed by the Marshall score, or intervention for cerebral edema. Beat-to-beat variation of ECG or PPG, as well as waveform features during the first 15 and 60 min after arrival in the TRU were analyzed to determine physiologic parameters associated with future ND. Physiologic and admission clinical variables were combined in multivariable logistic regression models predicting ND and inpatient mortality. Results: There were 33 (17%) patients with ND among 191 patients (mean age 43 years old, GCS 13, ISS 12, 69% men) who met study criteria. ND was associated with ICU admission (P < 0.001) and inpatient mortality (P < 0.001). Both ECG (AUROC: 0.84, 95% CI: 0.76,0.93) and PPG (AUROC: 0.87, 95% CI: 0.80, 0.93) analyses during the first 15 min of resuscitation demonstrated a greater ability to predict ND then clinical characteristics alone (AUROC: 0.69, 95% CI: 0.59, 0.8). Age (P = 0.02), Marshall score (P = 0.001), penetrating injury (P = 0.02), and predictive probability for ND by PPG analysis at 15 min (P = 0.03) were independently associated with inpatient mortality. Conclusions: Analysis of variability and ECG or PPG waveform in the first minutes of resuscitation may represent a non-invasive early marker of future ND. Frontiers Media S.A. 2018-09-25 /pmc/articles/PMC6167472/ /pubmed/30319521 http://dx.doi.org/10.3389/fneur.2018.00761 Text en Copyright © 2018 Melinosky, Yang, Hu, Li, Miller, Khan, Mackenzie, Chang, Parikh, Stein and Badjatia. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neurology
Melinosky, Christopher
Yang, Shiming
Hu, Peter
Li, HsiaoChi
Miller, Catriona H. T.
Khan, Imad
Mackenzie, Colin
Chang, Wan-Tsu
Parikh, Gunjan
Stein, Deborah
Badjatia, Neeraj
Continuous Vital Sign Analysis to Predict Secondary Neurological Decline After Traumatic Brain Injury
title Continuous Vital Sign Analysis to Predict Secondary Neurological Decline After Traumatic Brain Injury
title_full Continuous Vital Sign Analysis to Predict Secondary Neurological Decline After Traumatic Brain Injury
title_fullStr Continuous Vital Sign Analysis to Predict Secondary Neurological Decline After Traumatic Brain Injury
title_full_unstemmed Continuous Vital Sign Analysis to Predict Secondary Neurological Decline After Traumatic Brain Injury
title_short Continuous Vital Sign Analysis to Predict Secondary Neurological Decline After Traumatic Brain Injury
title_sort continuous vital sign analysis to predict secondary neurological decline after traumatic brain injury
topic Neurology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6167472/
https://www.ncbi.nlm.nih.gov/pubmed/30319521
http://dx.doi.org/10.3389/fneur.2018.00761
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