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Utilizing heart rate variability to predict ICU patient outcome in traumatic brain injury

Ping Zhang, Tegan Roberts, Brent Richards, Luke J. Haseler
2020 BMC Bioinformatics  
Traumatic brain injury (TBI) is a subset of critically ill patients admitted to ICU, with significant morbidity and mortality, and often difficult to predict outcomes.  ...  This study aimed to utilize the continuous HRV collection from admission across the first 24 h in the ICU in severe TBI patients to develop a patient outcome prediction system.  ...  Part of this work has been presented in the 2019 IEEE International Conference on Bioinformatics and Biomedicine [43] .  ... 
doi:10.1186/s12859-020-03814-w pmid:33308142 fatcat:u4v5gezxfveyrah6fktu5cbysy

Predicting intensive care outcomes in traumatic brain injury using heart rate variability measures with feature extraction strategies

Ping Zhang, Tegan Roberts, Brent Richards, Luke J Haseler
2019 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)  
Traumatic brain injury (TBI) is a subset of critically ill patients, admitted to ICU. Changes of HRV for brain injured patients have been reported in several studies.  ...  This study aimed to utilize the continuous HRV collection from admission for the first 24 hours in the ICU in severe TBI patients, and develop a patient outcome prediction system.  ...  HEART RATE VARIABILITY AND TRAUMATIC BRAIN INJURY The Electrocardiogram (ECG) is a non-invasive measure of the heart's overall electrical activity and is measured continuously during a patient's stay  ... 
doi:10.1109/bibm47256.2019.8983177 dblp:conf/bibm/ZhangRRH19 fatcat:a7oxim326bar5jv4stjtvbgdba

Absence of calvarial fracture could predict the need for tracheostomy in traumatic brain injury

Misaki Murasaki, Shinsuke Tanizaki, Taizo Nakanishi, Yasuo Toma, Minoru Hayashi, Kumiko Kono, Hiroshi Ishida, Shigenobu Maeda, Hideya Nagai, Hiroyuki Azuma, Ken‐ichi Kano
2021 Acute Medicine & Surgery  
The aim of our study was to explore whether the traumatic variables of head injury predict the need for tracheostomy in intubated TBI patients.  ...  Tracheostomy is a common procedure for intubated patients with traumatic brain injury (TBI) in the intensive care unit (ICU) but optimal timing and the predictors of tracheostomy are still unclear.  ...  Informed consent: Based on the opt-out approach, we disclosed information about this study and excluded data when the patient declined to participate directly or by proxy.  ... 
doi:10.1002/ams2.640 pmid:33815810 pmcid:PMC8009138 fatcat:t423ozvtjnhyrplzoquuxfu6q4

Clinical Applications of Heart Rate Variability in the Triage and Assessment of Traumatically Injured Patients

Mark L. Ryan, Chad M. Thorson, Christian A. Otero, Thai Vu, Kenneth G. Proctor
2011 Anesthesiology Research and Practice  
Heart rate variability (HRV) is a method of physiologic assessment which uses fluctuations in the RR intervals to evaluate modulation of the heart rate by the autonomic nervous system (ANS).  ...  The purpose of this paper is to describe the three analytical methods (time domain, frequency domain, and entropy) and specific clinical populations that have been evaluated in trauma patients and to identify  ...  Acknowledgments The paper is supported in part by Grant no. N140610670 from the Office of Naval Research and by Grant from the U.S. Army Medical Research and Materiel Command 09078015.  ... 
doi:10.1155/2011/416590 pmid:21350685 pmcid:PMC3038414 fatcat:f7ap2dylxvgfnlawcj6w5o3epq

The neutrophil-to-lymphocyte ratio: A potential predictor of poor prognosis in adult patients with trauma and traumatic brain injury

Jinghong Xu, Shuhe Li, Ka Yin Lui, Xiaodong Song, Xiaoguang Hu, Lu Cao, Yanping Zhu, Fa Huang, Xiaobin Lin, Changjie Cai
2022 Frontiers in Surgery  
ROC analysis showed that the NLR had better predictive capacity on the mortality of patients with traumatic brain injury (TBI) than those with trauma (AUC 0.725 vs. 0.681).  ...  The ICU, in-hospital, and 15-day mortality rates of the four groups increased in turn (P < 0.001 for all).  ...  Acknowledgments We appreciate the excellent work of Philips Healthcare and MIT Laboratory for Computational Physiology to build the eICU Collaborative Research Database and make it freely available to  ... 
doi:10.3389/fsurg.2022.917172 pmid:36081584 pmcid:PMC9445209 fatcat:kxp3nlloxnepvbnjdkpmvksxii

Incidence of Paroxysmal Sympathetic Hyperactivity after Traumatic Brain Injury in a Tertiary Care ICU: A Retrospective Cohort Study

Ajit Bhardwaj, Ganesh C. Satapathy, Arpit Garg, Vikas Chawla, Kiran Jangra
2021 Journal of Neuroanaesthesiology and Critical Care  
Background Paroxysmal sympathetic hyperactivity (PSH) is an understudied complication of traumatic brain injury (TBI).  ...  PSH usually presents with transient rise in sympathetic outflow, leading to increased blood pressure, heart rate, temperature, respiratory rate, sweating, and posturing activity.  ...  Introduction Paroxysmal sympathetic hyperactivity (PSH) is an understudied complication of traumatic brain injury (TBI).  ... 
doi:10.1055/s-0040-1721553 fatcat:r7n3cjuesfekvjiuwr3zuxvpay

Incidence, Predictors, and Adverse Outcomes of Extubation Failure in Young Children with Isolated Traumatic Brain Injury: A Prospective Observational Study

Amarjyoti Hazarika, Aakriti Gupta, Kajal Jain, Kamal Kajal
2020 Journal of Neuroanaesthesiology and Critical Care  
Background Mechanical ventilation is a life-saving mainstay of therapy in pediatric patients with isolated traumatic brain injury (iTBI).  ...  Developing predictive tools and optimizing extubation decisions lead to timely identification of patients at elevated risk of extubation failure.  ...  Acknowledgment The authors acknowledge the contribution of the nursing staff of the trauma ICU.  ... 
doi:10.1055/s-0040-1701799 fatcat:4s2wtgfkmrdnld56koskn72tmy

Derivation of a Clinical Decision Instrument to Identify Adult Patients With Mild Traumatic Intracranial Hemorrhage at Low Risk for Requiring ICU Admission

Daniel K. Nishijima, Matthew Sena, Joseph M. Galante, Kiarash Shahlaie, Jason London, Joy Melnikow, James F. Holmes
2014 Annals of Emergency Medicine  
emergency department patients with mild traumatic intracranial hemorrhage (tICH) who are at low risk for requiring critical care resources during hospitalization and thus may not need admission to the  ...  ICU.  ...  Prior studies have evaluated baseline characteristics to predict outcome in traumatic patients with tICH.  ... 
doi:10.1016/j.annemergmed.2013.11.003 pmid:24314900 pmcid:PMC3965594 fatcat:bkpbmlbiqnho3hi2vfj5bsatoi

Prognostic Value of Serum Procalcitonin Based Model in Moderate to Severe Traumatic Brain Injury Patients

Ruoran Wang, Yusi Hua, Min He, Jianguo Xu
2022 Journal of Inflammation Research  
Previous studies have not reached agreement on the association between serum PCT and outcome of traumatic brain injury (TBI) patients.  ...  Among the included 211 patients, 81 patients suffered a poor outcome, with a mortality rate of 38.4%.  ...  (CRASH) and International Mission for Prognosis and Analysis of Clinical Trials in Traumatic Brain Injury (IMPACT). 5, 6 n addition to develop novel predictive models, utilizing other markers to modify  ... 
doi:10.2147/jir.s358621 pmid:36065318 pmcid:PMC9440674 fatcat:4cujutx4cjddlhfpzrqpsam7xe

Risk Factors Associated with Mortality in Severe Chest Trauma Patients Admitted to the ICU

Jesús Abelardo Barea-Mendoza, Mario Chico-Fernández, Manuel Quintana-Díaz, Jon Pérez-Bárcena, Luís Serviá-Goixart, Ismael Molina-Díaz, María Bringas-Bollada, Antonio Luis Ruiz-Aguilar, María Ángeles Ballesteros-Sanz, Juan Antonio Llompart-Pou, on behalf of the Neurointensive Care and Trauma Working Group of the Sociedad Española de Medicina Intensiva Crítica y Unidades Coronarias (SEMICYUC)
2022 Journal of Clinical Medicine  
In-hospital mortality in the severe chest trauma patients without significant traumatic brain injury (TBI) was 5.63% and was 25.71% with associated significant TBI (p < 0.001).  ...  An observational, prospective, and multicenter registry of trauma patients admitted to the participating ICUs (March 2015–December 2019) was utilized to collect the patient data that were analyzed.  ...  rates of trauma patients admitted to the ICU and its associated risk factors remain to be determined.  ... 
doi:10.3390/jcm11010266 pmid:35012008 pmcid:PMC8745825 fatcat:iw4dshyal5fqxi3gklzlyle47m

Early Pupillometry Assessment in Traumatic Brain Injury Patients: A Retrospective Study

Thomas Luz Teixeira, Lorenzo Peluso, Pierluigi Banco, Hassane Njimi, Layal Abi-Khalil, Mélanie Chanchay Pillajo, Sophie Schuind, Jacques Creteur, Pierre Bouzat, Fabio Silvio Taccone
2021 Brain Sciences  
The aim of this study was to evaluate whether the early assessment of neurological pupil index (NPi) values derived from automated pupillometry could predict neurological outcome after traumatic brain  ...  injury (TBI).  ...  outcome after traumatic brain injury (TBI).  ... 
doi:10.3390/brainsci11121657 pmid:34942959 pmcid:PMC8699519 fatcat:gxw72lelnncbroeg3towyhiqzm

Resuscitation Endpoints in Traumatic Shock: A Focused Review with Emphasis on Point-of-Care Approaches [chapter]

Kathryn C. Kelley, Kyle Dammann, Alex Alers, Thomas B. Zanders, Charles Bendas, Stanislaw P. Stawicki
2020 Clinical Management of Shock - The Science and Art of Physiological Restoration [Working Title]  
The goal of this chapter is to provide an overview of the most commonly used endpoints of resuscitation in traumatic shock, beginning with clinical bedside assessments then progressing through various  ...  traumatic shock as well as projecting forward to look at novel techniques and biomarkers.  ...  Physiological indices Critical care scoring systems have been well-established to improve care of patients with traumatic shock in the ICU [65] .  ... 
doi:10.5772/intechopen.90686 fatcat:frpmwzc6mzawniidaik7kwitie

System dynamics modeling for traumatic brain injury: Mini-review of applications

Erin S. Kenzie, Elle L. Parks, Nancy Carney, Wayne Wakeland
2022 Frontiers in Bioengineering and Biotechnology  
Traumatic brain injury (TBI) is a highly complex phenomenon involving a cascade of disruptions across biomechanical, neurochemical, neurological, cognitive, emotional, and social systems.  ...  In this mini-review, we summarize some recent uses of this approach to better understand acute injury mechanisms, recovery dynamics, and care delivery for TBI.  ...  ; IgG, immunoglobulin G; ODE, ordinary differential equation; mTBI, mild traumatic brain injury; TBI, traumatic brain injury.Frontiers in Bioengineering and Biotechnology frontiersin.org Frontiers in  ... 
doi:10.3389/fbioe.2022.854358 pmid:36032727 pmcid:PMC9411712 fatcat:h5du4znwgbfqbnmb4j2rv7jjmu

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

Christopher Melinosky, Shiming Yang, Peter Hu, HsiaoChi Li, Catriona H. T. Miller, Imad Khan, Colin Mackenzie, Wan-Tsu Chang, Gunjan Parikh, Deborah Stein, Neeraj Badjatia
2018 Frontiers in Neurology  
to predict ND in the initial 48 hours after traumatic brain injury (TBI).  ...  that can be identified as objective events related to secondary brain injury and independently impact outcome.  ...  Keywords: traumatic brain injury, machine learning, heart rate variability, photoplethysmogram, predictive model INTRODUCTION One and a half million Americans incur a traumatic brain injury (TBI) each  ... 
doi:10.3389/fneur.2018.00761 pmid:30319521 pmcid:PMC6167472 fatcat:uzfhf72dgze67p237che5tjbke

Machine Learning Model for Predicting Acute Respiratory Failure in Individuals With Moderate-to-Severe Traumatic Brain Injury

Rui Na Ma, Yi Xuan He, Fu Ping Bai, Zhi Peng Song, Ming Sheng Chen, Min Li
2021 Frontiers in Medicine  
There is a high incidence of acute respiratory failure (ARF) in moderate or severe traumatic brain injury (M-STBI), worsening outcomes.  ...  Patients with age &gt;80 years or &lt;18 years, multiple injuries with TBI upon admission, or pregnancy (in women) were excluded.  ...  Risk factors predicting prognosis and outcome of elderly patients with isolated traumatic brain injury.  ... 
doi:10.3389/fmed.2021.793230 pmid:35004766 pmcid:PMC8739486 fatcat:z7l7gr5ubbbbdffmpc5bkdvuxa
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