scholarly journals Lactate Albumin Ratio is Associated with Mortality in Patients with Moderate to Severe Traumatic Brain Injury

2020 ◽  
Author(s):  
Ruoran Wang ◽  
Min He ◽  
Xiaofeng Ou ◽  
Xiaoqi Xie ◽  
Yan Kang
Keyword(s):  
Risk Factors ◽  
Traumatic Brain Injury ◽  
Logistic Regression ◽  
Brain Injury ◽  
Hospital Mortality ◽  
Prognostic Model ◽  
Multivariate Logistic Regression ◽  
Albumin Ratio ◽  
Severe Tbi ◽  
Auc Value

Abstract Background: Traumatic brain injury (TBI) is a serious public health issue all over the world. This study was designed to evaluate the prognostic value of lactate to albumin ratio (LAR) on moderate to severe traumatic brain injury.Methods: Clinical data of 273 moderate to severe TBI patients hospitalized in West China Hospital between May 2015 and January 2018 were collected. Multivariate logistic regression analyses were used to explore risk factors and construct prognostic model of in-hospital mortality in this cohort. Nomogram was drawn to visualize the prognostic model. Receiver operating characteristic (ROC) curve and calibration curve were respectively drawn to evaluate discriminative ability and stability of this model.Results: Non-survivors had higher LAR than survivors (1.0870 vs 0.5286, p<0.001). Results of multivariate logistic regression analysis showed that GCS (OR=0.818, p=0.008), blood glucose (OR=1.232, p<0.001), LAR (OR=1.883, p=0.012), and red blood cell distribution (RDW)-SD (OR=1.179, p=0.004) were independent risk factors of in-hospital mortality in included patients. These four factors were utilized to construct prognostic model. The area under the ROC curve (AUC) value of single lactate and LAR were 0.733 (95%Cl; 0.673-0.794) and 0.780 (95%Cl; 0.725-0.835), respectively. The AUC value of the prognostic model was 0.868 (95%Cl; 0.826-0.909), which was higher than that of LAR (Z=2.5143, p<0.05).Conclusions: LAR is a readily available prognostic marker of moderate to severe TBI patients. Prognostic model incorporating LAR is beneficial for clinicians to evaluate possible progression and make treatment decisions in these patients.

Risk Factors and Neurologic Outcomes in Patients With Traumatic Brain Injury and Coagulopathy Within 72 Hours Post-operatively

2021 ◽  
Author(s):  
Tao Chang ◽  
Xigang Yan ◽  
Chao Zhao ◽  
Yufu Zhang ◽  
Bao Wang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Traumatic Brain Injury ◽  
Logistic Regression ◽  
Brain Injury ◽  
Multivariate Logistic Regression ◽  
Neurologic Outcomes ◽  
Post Operative Period ◽  
Duration Of Surgery ◽  
Independent Risk Factors ◽  
Time Of Admission

Abstract Background There are few studies on the development and effect of coagulopathy in patients with a traumatic brain injury (TBI) during the early post-operative period. We determined the risk factors and neurologic outcomes of in patients with a TBI and coagulopathy diagnosed by routine laboratory tests within 72 hours post-operatively. Methods The baseline characteristics, intra-operative management, and follow-up results of 462 patients with TBIs were obtained and retrospectively analyzed by multivariate logistic regression from January 2015 to June 2019. Coagulopathy was defined as an activated partial thromboplastin time > 40 seconds, international normalized ratio >1.4, or a platelet count < 100×109 /L.Results Multivariate logistic regression analysis revealed that the Glasgow Coma Scale (GCS) at the time of admission, Injury Severity Score (ISS) at the time of admission, pupil mydriasis, duration of surgery, intra-operative blood loss, and intra-operative crystalloid resuscitation were independent risk factors for patients who developed a coagulopathy post-operatively. There were statistical differences in mortality (p = 0.049), the Glasgow Outcome Scale-Extended (GCS-E; p = 0.024), and the modified Rankin Scale (p = 0.043) between patients with and without coagulopathy 1 week after surgery. Coagulopathy within 72 h after surgery revealed a trend for higher mortality at 1 week (66.7%), 3 months (71.4%), and 6 months (76.2%). Furthermore, coagulopathy and contusion expansion in the early post-operative period were independent risk factors for TBI mortality after surgery. Intra-operative crystalloid resuscitation had a substantial diagnostic accuracy in predicting coagulopathy within 72 h post-operatively (area under the curve [AUC] = 0.972).Conclusion Coagulopathy within 72 h post-operatively in patients with a TBI predicted worse disease progression and unfavorable neurologic outcomes. Hence, we should take practical and reasonable measures to manage these risk factors, which may protect patients with a TBI from post-operative coagulopathy.

scholarly journals End-tidal to arterial carbon dioxide gradient is associated with increased mortality in patients with traumatic brain injury: a retrospective observational study

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Pascal Doppmann ◽  
Lorenz Meuli ◽  
Stephen J. M. Sollid ◽  
Miodrag Filipovic ◽  
Jürgen Knapp ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Logistic Regression ◽  
Brain Injury ◽  
Hospital Mortality ◽  
Multivariate Logistic Regression Model ◽  
Multivariate Logistic Regression ◽  
Logistic Regression Models ◽  
The Mean ◽  
The Difference ◽  
End Tidal

AbstractEarly definitive airway protection and normoventilation are key principles in the treatment of severe traumatic brain injury. These are currently guided by end tidal CO2 as a proxy for PaCO2. We assessed whether the difference between end tidal CO2 and PaCO2 at hospital admission is associated with in-hospital mortality. We conducted a retrospective observational cohort study of consecutive patients with traumatic brain injury who were intubated and transported by Helicopter Emergency Medical Services to a Level 1 trauma center between January 2014 and December 2019. We assessed the association between the CO2 gap—defined as the difference between end tidal CO2 and PaCO2—and in-hospital mortality using multivariate logistic regression models. 105 patients were included in this study. The mean ± SD CO2 gap at admission was 1.64 ± 1.09 kPa and significantly greater in non-survivors than survivors (2.26 ± 1.30 kPa vs. 1.42 ± 0.92 kPa, p < .001). The correlation between EtCO2 and PaCO2 at admission was low (Pearson's r = .287). The mean CO2 gap after 24 h was only 0.64 ± 0.82 kPa, and no longer significantly different between non-survivors and survivors. The multivariate logistic regression model showed that the CO2 gap was independently associated with increased mortality in this cohort and associated with a 2.7-fold increased mortality for every 1 kPa increase in the CO2 gap (OR 2.692, 95% CI 1.293 to 5.646, p = .009). This study demonstrates that the difference between EtCO2 and PaCO2 is significantly associated with in-hospital mortality in patients with traumatic brain injury. EtCO2 was significantly lower than PaCO2, making it an unreliable proxy for PaCO2 when aiming for normocapnic ventilation. The CO2 gap can lead to iatrogenic hypoventilation when normocapnic ventilation is aimed and might thereby increase in-hospital mortality.

scholarly journals End-tidal to arterial carbon dioxide gradient in traumatic brain injury after prehospital emergency anesthesia is associated with in-hospital mortality: a retrospective observational study

2021 ◽  
Author(s):  
Pascal Doppmann ◽  
Lorenz Meuli ◽  
Stephen Sollid ◽  
Miodrag Filipovic ◽  
Jürgen Knapp ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Logistic Regression ◽  
Brain Injury ◽  
Hospital Mortality ◽  
Multivariate Logistic Regression Model ◽  
Multivariate Logistic Regression ◽  
Logistic Regression Models ◽  
The Mean ◽  
The Difference ◽  
End Tidal

Abstract Background Early definitive airway protection and normoventilation are key principles in the treatment of severe traumatic brain injury. These are currently guided by end tidal CO2 as a proxy for PaCO2. We assessed whether the difference between end tidal CO2 and PaCO2 at hospital admission is associated with in-hospital mortality.Method We conducted a retrospective observational cohort study of consecutive patients with traumatic brain injury who were intubated and transported by Helicopter Emergency Medical Services to a Level 1 trauma center between January 2014 and December 2019. We assessed the association between the CO2 gap—defined as the difference between end tidal CO2 and PaCO2—and in-hospital mortality using multivariate logistic regression models.Results 105 patients were included in this study. The mean ±SD CO2 gap at admission was 1.64 (± 1.09) kPa and significantly greater in non-survivors than survivors (2.26 ±1.30 kPa vs. 1.42 ±0.92 kPa, p<.001). The correlation between EtCO2 and PaCO2 at admission was low (Pearson's r=.287). The mean CO2 gap after 24 hours was only 0.64 ±0.82 kPa, and no longer significantly different between non-survivors and survivors. The multivariate logistic regression model showed that the CO2 gap was independently associated with increased mortality in this cohort and associated with a 2.7-fold increased mortality for every 1 kPa increase in the CO2 gap (OR 2.692, 95% CI 1.293 to 5.646, p=.009).Conclusions This study demonstrates that the difference between EtCO2 and PaCO2 is significantly associated with in-hospital mortality in patients with traumatic brain injury. EtCO2 was significantly lower than PaCO2, making it an unreliable proxy for PaCO2 when aiming for normocapnic ventilation. The higher-than-expected CO2 gap will lead to iatrogenic hypoventilation when normocapnic ventilation is aimed at, and might thereby increase in-hospital mortality.

scholarly journals Development of a Prognostic Model to Predict Mortality after Traumatic Brain Injury in Intensive Care Setting in a Developing Country

2021 ◽  
Vol 12 (02) ◽  
pp. 368-375
Author(s):  
Mini Jayan ◽  
Dhaval Shukla ◽  
Bhagavatula Indira Devi ◽  
Dhananjaya I. Bhat ◽  
Subhas K. Konar
Keyword(s):  
Traumatic Brain Injury ◽  
Intensive Care ◽  
Brain Injury ◽  
Hospital Mortality ◽  
Prognostic Model ◽  
Third Ventricle ◽  
The Third ◽  
Scan Data ◽  
Gcs Score ◽  
Basal Cisterns

Abstract Objectives We aimed to develop a prognostic model for the prediction of in-hospital mortality in patients with traumatic brain injury (TBI) admitted to the neurosurgery intensive care unit (ICU) of our institute. Materials and Methods The clinical and computed tomography scan data of consecutive patients admitted after a diagnosis TBI in ICU were reviewed. Construction of the model was done by using all the variables of Corticosteroid Randomization after Significant Head Injury and International Mission on Prognosis and Analysis of Clinical Trials in TBI models. The endpoint was in-hospital mortality. Results A total of 243 patients with TBI were admitted to ICU during the study period. The in-hospital mortality was 15.3%. On multivariate analysis, the Glasgow coma scale (GCS) at admission, hypoxia, hypotension, and obliteration of the third ventricle/basal cisterns were significantly associated with mortality. Patients with hypoxia had eight times, with hypotensions 22 times, and with obliteration of the third ventricle/basal cisterns three times more chance of death. The TBI score was developed as a sum of individual points assigned as follows: GCS score 3 to 4 (+2 points), 5 to 12 (+1), hypoxia (+1), hypotension (+1), and obliteration third ventricle/basal cistern (+1). The mortality was 0% for a score of “0” and 85% for a score of “4.” Conclusion The outcome of patients treated in ICU was based on common admission variables. A simple clinical grading score allows risk stratification of patients with TBI admitted in ICU.

scholarly journals Early diagnosis of mortality using admission CT perfusion in severe traumatic brain injury patients (ACT-TBI): protocol for a prospective cohort study

BMJ Open ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. e047305
Author(s):  
Susan Alcock ◽  
Divjeet Batoo ◽  
Sudharsana Rao Ande ◽  
Rob Grierson ◽  
Marco Essig ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Cohort Study ◽  
Brain Injury ◽  
Early Diagnosis ◽  
Hospital Mortality ◽  
Brain Death ◽  
Severe Traumatic Brain Injury ◽  
Health Research ◽  
Ct Perfusion ◽  
Severe Tbi

IntroductionSevere traumatic brain injury (TBI) is a catastrophic neurological condition with significant economic burden. Early in-hospital mortality (<48 hours) with severe TBI is estimated at 50%. Several clinical examinations exist to determine brain death; however, most are difficult to elicit in the acute setting in patients with severe TBI. Having a definitive assessment tool would help predict early in-hospital mortality in this population. CT perfusion (CTP) has shown promise diagnosing early in-hospital mortality in patients with severe TBI and other populations. The purpose of this study is to validate admission CTP features of brain death relative to the clinical examination outcome for characterizing early in-hospital mortality in patients with severe TBI.Methods and analysisThe Early Diagnosis of Mortality using Admission CT Perfusion in Severe Traumatic Brain Injury Patients study, is a prospective cohort study in patients with severe TBI funded by a grant from the Canadian Institute of Health Research. Adults aged 18 or older, with evidence of a severe TBI (Glasgow Coma Scale score ≤8 before initial resuscitation) and, on mechanical ventilation at the time of imaging are eligible. Patients will undergo CTP at the time of first imaging on their hospital admission. Admission CTP compares with the reference standard of an accepted bedside clinical assessment for brainstem function. Deferred consent will be used. The primary outcome is a binary outcome of mortality (dead) or survival (not dead) in the first 48 hours of admission. The planned sample size for achieving a sensitivity of 75% and a specificity of 95% with a CI of ±5% is 200 patients.Ethics and disseminationThis study has been approved by the University of Manitoba Health Research Ethics Board. The findings from our study will be disseminated through peer-reviewed journals and presentations at local rounds, national and international conferences. The public will be informed through forums at the end of the study.Trial registration numberNCT04318665

Blunt cerebrovascular injuries in severe traumatic brain injury: incidence, risk factors, and evolution

2017 ◽  
Vol 127 (1) ◽  
pp. 16-22 ◽  
Author(s):  
Pierre Esnault ◽  
Mickaël Cardinale ◽  
Henry Boret ◽  
Erwan D'Aranda ◽  
Ambroise Montcriol ◽  
...  
Keyword(s):  
Risk Factors ◽  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Severe Traumatic Brain Injury ◽  
Anticoagulation Therapy ◽  
Spine Injury ◽  
Hemorrhagic Complication ◽  
Injury Incidence ◽  
Severe Tbi ◽  
Systemic Anticoagulation

OBJECTIVEBlunt cerebrovascular injuries (BCVIs) affect approximately 1% of patients with blunt trauma. An antithrombotic or anticoagulation therapy is recommended to prevent the occurrence or recurrence of neurovascular events. This treatment has to be carefully considered after severe traumatic brain injury (TBI), due to the risk of intracranial hemorrhage expansion. Thus, the physician in charge of the patient is confronted with a hemorrhagic and ischemic risk. The main objective of this study was to determine the incidence of BCVI after severe TBI.METHODSThe authors conducted a prospective, observational, single-center study including all patients with severe TBI admitted in the trauma center. Diagnosis of BCVI was performed using a 64-channel multidetector CT. Characteristics of the patients, CT scan results, and outcomes were collected. A multivariate logistic regression model was developed to determine the risk factors of BCVI. Patients in whom BCVI was diagnosed were treated with systemic anticoagulation.RESULTSIn total, 228 patients with severe TBI who were treated over a period of 7 years were included. The incidence of BCVI was 9.2%. The main risk factors were as follows: motorcycle crash (OR 8.2, 95% CI 1.9–34.8), fracture involving the carotid canal (OR 11.7, 95% CI 1.7–80.9), cervical spine injury (OR 13.5, 95% CI 3.1–59.4), thoracic trauma (OR 7.3, 95% CI 1.1–51.2), and hepatic lesion (OR 13.3, 95% CI 2.1–84.5). Among survivors, 82% of patients with BCVI received systemic anticoagulation therapy, beginning at a median of Day 1.5. The overall stroke rate was 19%. One patient had an intracranial hemorrhagic complication.CONCLUSIONSBlunt cerebrovascular injuries are frequent after severe TBI (incidence 9.2%). The main risk factors are high-velocity lesions and injuries near cervical arteries.

scholarly journals Predictors of In-Hospital Mortality for Road Traffic Accident-Related Severe Traumatic Brain Injury

2021 ◽  
Vol 11 (12) ◽  
pp. 1339
Author(s):  
Chien-Hung Chen ◽  
Yu-Wei Hsieh ◽  
Jen-Fu Huang ◽  
Chih-Po Hsu ◽  
Chia-Ying Chung ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Mortality Rate ◽  
Hospital Mortality ◽  
Prothrombin Time ◽  
High Mortality ◽  
Clinical Characteristics ◽  
Road Traffic ◽  
Road User ◽  
Severe Tbi

(1) Background: Road traffic accidents (RTAs) are the leading cause of pediatric traumatic brain injury (TBI) and are associated with high mortality. Few studies have focused on RTA-related pediatric TBI. We conducted this study to analyze the clinical characteristics of RTA-related TBI in children and to identify early predictors of in-hospital mortality in children with severe TBI. (2) Methods: In this 15-year observational cohort study, a total of 618 children with RTA-related TBI were enrolled. We collected the patients’ clinical characteristics at the initial presentations in the emergency department (ED), including gender, age, types of road user, the motor components of the Glasgow Coma Scale (mGCS) score, body temperature, blood pressure, blood glucose level, initial prothrombin time, and the intracranial computed tomography (CT) Rotterdam score, as potential mortality predictors. (3) Results: Compared with children exhibiting mild/moderate RTA-related TBI, those with severe RTA-related TBI were older and had a higher mortality rate (p < 0.001). The in-hospital mortality rate for severe RTA-related TBI children was 15.6%. Compared to children who survived, those who died in hospital had a higher incidence of presenting with hypothermia (p = 0.011), a lower mGCS score (p < 0.001), a longer initial prothrombin time (p < 0.013), hyperglycemia (p = 0.017), and a higher Rotterdam CT score (p < 0.001). Multivariate analyses showed that the mGCS score (adjusted odds ratio (OR): 2.00, 95% CI: 1.28–3.14, p = 0.002) and the Rotterdam CT score (adjusted OR: 2.58, 95% CI: 1.31–5.06, p = 0.006) were independent predictors of in-hospital mortality. (4) Conclusions: Children with RTA-related severe TBI had a high mortality rate. Patients who initially presented with hypothermia, a lower mGCS score, a prolonged prothrombin time, hyperglycemia, and a higher Rotterdam CT score in brain CT analyses were associated with in-hospital mortality. The mGCS and the Rotterdam CT scores were predictive of in-hospital mortality independently.

scholarly journals Mortality risk stratification in isolated severe traumatic brain injury using the revised cardiac risk index

2021 ◽  
Author(s):  
Maximilian Peter Forssten ◽  
Gary Alan Bass ◽  
Kai-Michael Scheufler ◽  
Ahmad Mohammad Ismail ◽  
Yang Cao ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Risk Stratification ◽  
Hospital Mortality ◽  
Severe Traumatic Brain Injury ◽  
Mortality Risk ◽  
Risk Index ◽  
Cardiac Risk ◽  
Increased Risk ◽  
Severe Tbi

Abstract Purpose Traumatic brain injury (TBI) continues to be a significant cause of mortality and morbidity worldwide. As cardiovascular events are among the most common extracranial causes of death after a severe TBI, the Revised Cardiac Risk Index (RCRI) could potentially aid in the risk stratification of this patient population. This investigation aimed to determine the association between the RCRI and in-hospital deaths among isolated severe TBI patients. Methods All adult patients registered in the TQIP database between 2013 and 2017 who suffered an isolated severe TBI, defined as a head AIS ≥ 3 with an AIS ≤ 1 in all other body regions, were included. Patients were excluded if they had a head AIS of 6. The association between different RCRI scores (0, 1, 2, 3, ≥ 4) and in-hospital mortality was analyzed using a Poisson regression model with robust standard errors while adjusting for potential confounders, with RCRI 0 as the reference. Results 259,399 patients met the study’s inclusion criteria. RCRI 2 was associated with a 6% increase in mortality risk [adjusted IRR (95% CI) 1.06 (1.01–1.12), p = 0.027], RCRI 3 was associated with a 17% increased risk of mortality [adjusted IRR (95% CI) 1.17 (1.05–1.31), p = 0.004], and RCRI ≥ 4 was associated with a 46% increased risk of in-hospital mortality [adjusted IRR(95% CI) 1.46 (1.11–1.90), p = 0.006], compared to RCRI 0. Conclusion An elevated RCRI ≥ 2 is significantly associated with an increased risk of in-hospital mortality among patients with an isolated severe traumatic brain injury. The simplicity and bedside applicability of the index makes it an attractive choice for risk stratification in this patient population.

scholarly journals The Association of Early Electrocardiographic Abnormalities With Brain Injury Severity and Outcome in Severe Traumatic Brain Injury

2021 ◽  
Vol 11 ◽  
Author(s):  
Jelmer-Joost Lenstra ◽  
Lidija Kuznecova-Keppel Hesselink ◽  
Sacha la Bastide-van Gemert ◽  
Bram Jacobs ◽  
Maarten Willem Nicolaas Nijsten ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Hospital Mortality ◽  
Cardiac Arrhythmias ◽  
Injury Severity ◽  
Thoracic Injury ◽  
Diffuse Brain Injury ◽  
Severe Tbi ◽  
Ecg Abnormalities ◽  
Diffuse Brain

The aim of this study was to evaluate the frequency of electrocardiographic (ECG) abnormalities in the acute phase of severe traumatic brain injury (TBI) and the association with brain injury severity and outcome. In contrast to neurovascular diseases, sparse information is available on this issue. Data of adult patients with severe TBI admitted to the Intensive Care Unit (ICU) for intracranial pressure monitoring of a level-1 trauma center from 2002 till 2018 were analyzed. Patients with a cardiac history were excluded. An ECG recording was obtained within 24 h after ICU admission. Admission brain computerized tomography (CT)-scans were categorized by Marshall-criteria (diffuse vs. mass lesions) and for location of traumatic lesions. CT-characteristics and maximum Therapy Intensity Level (TILmax) were used as indicators for brain injury severity. We analyzed data of 198 patients, mean (SD) age of 40 ± 19 years, median GCS score 3 [interquartile range (IQR) 3–6], and 105 patients (53%) had thoracic injury. In-hospital mortality was 30%, with sudden death by cardiac arrest in four patients. The incidence of ECG abnormalities was 88% comprising ventricular repolarization disorders (57%) mostly with ST-segment abnormalities, conduction disorders (45%) mostly with QTc-prolongation, and arrhythmias (38%) mostly of supraventricular origin. More cardiac arrhythmias were observed with increased grading of diffuse brain injury (p = 0.042) or in patients treated with hyperosmolar therapy (TILmax) (65%, p = 0.022). No association was found between ECG abnormalities and location of brain lesions nor with thoracic injury. Multivariate analysis with baseline outcome predictors showed that cardiac arrhythmias were not independently associated with in-hospital mortality (p = 0.097). Only hypotension (p = 0.029) and diffuse brain injury (p = 0.017) were associated with in-hospital mortality. In conclusion, a high incidence of ECG abnormalities was observed in patients with severe TBI in the acute phase after injury. No association between ECG abnormalities and location of brain lesions or presence of thoracic injury was present. Cardiac arrhythmias were indicative for brain injury severity but not independently associated with in-hospital mortality. Therefore, our findings likely suggest that ECG abnormalities should be considered as cardiac mimicry representing the secondary effect of traumatic brain injury allowing for a more rationale use of neuroprotective measures.

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