scholarly journals Utility of biomarkers in traumatic brain injury: a narrative review

2020 ◽  
Vol 48 (3) ◽  
pp. 155-161
Author(s):  
Daniel A. Mendoza ◽  
Karen D. López ◽  
Raúl A. Echeverri ◽  
Laura Pastor ◽  
Steven Rueda ◽  
...  

Introduction: With the evolution of diagnostic techniques in traumatic brain injury (TBI), the study of neurological injury has made progress based on the concepts of primary and secondary injury, leading to the era of proteomics to understand the complex molecular events involved in the process. Objectives: This narrative review is intended to discuss the state of the art of the most frequently used biomarkers in TBI, their clinical utility, and the implications for therapeutic decisionmaking protocols. Materials and methods: In order to fulfill the objective of this paper, a literature review was conducted of the most important databases. Results: Several biomarkers have been studied as prognostic factors in patients with TBI. Learning about their sensitivity and specificity in neurological injury, and its post-trauma evolution over time, has been the goal of various papers in the past few years. Conclusion: Breakthroughs in the study of protein degradation make it necessary to broaden the spectrumand knowledge of new diagnostic methods in TBI. Further studies are needed to define the role of biomarkers and to promote protocols integrating specific values.

2021 ◽  
Vol 11 (3) ◽  
pp. 114
Author(s):  
Jian-Gang Liu ◽  
Hong-Wei Hu ◽  
Zhi-Guo Chen ◽  
Gang Chen

Diagnostics ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 2311
Author(s):  
Brian Y. Kim ◽  
Tyler A. Concannon ◽  
Luis C. Barboza ◽  
Talal W. Khan

Neck and back pain is increasingly prevalent, and has increased exponentially in recent years. As more resources are dedicated to the diagnosis of pain conditions, it is increasingly important that the diagnostic techniques used are as precise and accurate as possible. Traditional diagnostic methods rely heavily upon patient history and physical examination to determine the most appropriate treatments and/or imaging studies. Though traditional means of diagnosis remain a necessity, in many cases, correlation with positive or negative responses to injections may further enhance diagnostic specificity, and improve outcomes by preventing unnecessary treatments or surgeries. This narrative review aims to present the most recent literature describing the diagnostic validity of precision injections, as well as their impact on surgical planning and outcomes. Diagnostic injections are discussed in terms of facet arthropathy, lumbar radiculopathy, discogenic pain and discography, and sacroiliac joint dysfunction. There is a growing body of evidence supporting the use of diagnostic local anesthetic injections or nerve blocks to aid in diagnosis. Spinal injections add valuable objective information that can potentially improve diagnostic precision, guide treatment strategies, and aid in patient selection for invasive surgical interventions.


2020 ◽  
Vol 35 (6) ◽  
pp. 919-919
Author(s):  
Lange R ◽  
Lippa S ◽  
Hungerford L ◽  
Bailie J ◽  
French L ◽  
...  

Abstract Objective To examine the clinical utility of PTSD, Sleep, Resilience, and Lifetime Blast Exposure as ‘Risk Factors’ for predicting poor neurobehavioral outcome following traumatic brain injury (TBI). Methods Participants were 993 service members/veterans evaluated following an uncomplicated mild TBI (MTBI), moderate–severe TBI (ModSevTBI), or injury without TBI (Injured Controls; IC); divided into three cohorts: (1) < 12 months post-injury, n = 237 [107 MTBI, 71 ModSevTBI, 59 IC]; (2) 3-years post-injury, n = 370 [162 MTBI, 80 ModSevTBI, 128 IC]; and (3) 10-years post-injury, n = 386 [182 MTBI, 85 ModSevTBI, 119 IC]. Participants completed a 2-hour neurobehavioral test battery. Odds Ratios (OR) were calculated to determine whether the ‘Risk Factors’ could predict ‘Poor Outcome’ in each cohort separately. Sixteen Risk Factors were examined using all possible combinations of the four risk factor variables. Poor Outcome was defined as three or more low scores (< 1SD) on five TBI-QOL scales (e.g., Fatigue, Depression). Results In all cohorts, the vast majority of risk factor combinations resulted in ORs that were ‘clinically meaningful’ (ORs > 3.00; range = 3.15 to 32.63, all p’s < .001). Risk factor combinations with the highest ORs in each cohort were PTSD (Cohort 1 & 2, ORs = 17.76 and 25.31), PTSD+Sleep (Cohort 1 & 2, ORs = 18.44 and 21.18), PTSD+Sleep+Resilience (Cohort 1, 2, & 3, ORs = 13.56, 14.04, and 20.08), Resilience (Cohort 3, OR = 32.63), and PTSD+Resilience (Cohort 3, OR = 24.74). Conclusions Singularly, or in combination, PTSD, Poor Sleep, and Low Resilience were strong predictors of poor outcome following TBI of all severities and injury without TBI. These variables may be valuable risk factors for targeted early interventions following injury.


Author(s):  
Sandrine Bourgeois-Tardif ◽  
Louis De Beaumont ◽  
José Carlos Rivera ◽  
Sylvain Chemtob ◽  
Alexander G Weil

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