Mild Traumatic Brain Injury and Postconcussive Symptom Endorsement: A Parallel Comparison Between Two Nonclinical Cohorts

ABSTRACT Introduction The prevalence of mild traumatic brain injury (mTBI) is commonly estimated based on indirect metrics such as emergency department visits and self-reporting tools. The study of postconcussive symptoms faces similar challenges because of their unspecific character and indistinct causality. In this article, we compare two nonclinical, epidemiological studies that addressed these two elements and were performed within a relatively narrow period in the state of Colorado. Materials and Methods De-identified datasets were obtained from a random digit-dialed survey study conducted by the Craig Hospital and a study surveying soldiers returning from deployment by Defense and Veteran Traumatic Brain Injury Center. Information pertinent to participants’ demographics, a history of mTBI, and symptom endorsement was extracted and homogenized in order to establish a parallel comparison between the populations of the two studies. Results From the 1,558 (Warrior Strong, 679; Craig Hospital, 879) records selected for analysis, 43% reported a history of at least one mTBI. The prevalence was significantly higher among individuals from the Defense and Veteran Traumatic Brain Injury Center study independent of gender or race. Repetitive injuries were reported by 15% of the total combined cohort and were more prevalent among males. Symptom endorsement was significantly higher in individuals with a positive history of mTBI, but over 80% of those with a negative history of mTBI endorsed at least one of the symptoms interrogated. Significant differences were observed between the military and the civilian populations in terms of the types and frequencies of the symptoms endorsed. Conclusions The prevalence of mTBI and associated symptoms identified in the two study populations is higher than that of previously reported. This suggests that not all individuals sustaining concussion seek medical care and highlights the limitations of using clinical reports to assess such estimates. The lack of appropriate mechanisms to determine symptom presence and causality remains a challenge. However, the differences observed in symptom reporting between cohorts raise questions about the nature of the symptoms, the impact on the quality of life for different individuals, and the effects on military health and force readiness.

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Mild traumatic brain injury affects the features of migraine

The Journal of Headache and Pain ◽

10.1186/s10194-021-01291-x ◽

2021 ◽

Vol 22 (1) ◽

Author(s):

Ryotaro Ishii ◽

Todd J. Schwedt ◽

Meesha Trivedi ◽

Gina Dumkrieger ◽

Melissa M. Cortez ◽

...

Keyword(s):

Traumatic Brain Injury ◽

Brain Injury ◽

Physical Abuse ◽

Mild Traumatic Brain Injury ◽

Clinical Course ◽

Categorical Variables ◽

Continuous Variables ◽

Lack Of Sleep ◽

History Of ◽

The Impact

Abstract Background Headache is one of the most common symptoms after concussion, and mild traumatic brain injury (mTBI) is a risk factor for chronic migraine (CM). However, there remains a paucity of data regarding the impact of mTBI on migraine-related symptoms and clinical course. Methods Of 2161 migraine patients who participated in the American Registry for Migraine Research between February 2016 and March 2020, 1098 completed questions assessing history of TBI (50.8%). Forty-four patients reported a history of moderate to severe TBI, 413 patients reported a history of mTBI. Patients’ demographics, headache symptoms and triggers, history of physical abuse, allodynia symptoms (ASC-12), migraine disability (MIDAS), depression (PHQ-2), and anxiety (GAD-7) were compared between migraine groups with (n = 413) and without (n = 641) a history of mTBI. Either the chi-square-test or Fisher’s exact test, as appropriate, was used for the analyses of categorical variables. The Mann-Whitney test was used for the analyses of continuous variables. Logistic regression models were used to compare variables of interest while adjusting for age, gender, and CM. Results A significantly higher proportion of patients with mTBI had CM (74.3% [307/413] vs. 65.8% [422/641], P = 0.004), had never been married or were divorced (36.6% [147/402] vs. 29.4% [187/636], P = 0.007), self-reported a history of physical abuse (24.3% [84/345] vs. 14.3% [70/491], P < 0.001), had mild to severe anxiety (50.5% [205/406] vs. 41.0% [258/630], P = 0.003), had headache-related vertigo (23.0% [95/413] vs. 15.9% [102/640], P = 0.009), and difficulty finding words (43.0% [174/405] vs. 32.9% [208/633], P < 0.001) in more than half their attacks, and headaches triggered by lack of sleep (39.4% [155/393] vs. 32.6% [198/607], P = 0.018) and reading (6.6% [26/393] vs. 3.0% [18/607], P = 0.016), compared to patients without mTBI. Patients with mTBI had significantly greater ASC-12 scores (median [interquartile range]; 5 [1–9] vs. 4 [1–7], P < 0.001), MIDAS scores (42 [18–85] vs. 34.5 [15–72], P = 0.034), and PHQ-2 scores (1 [0–2] vs. 1 [0–2], P = 0.012). Conclusion Patients with a history of mTBI are more likely to have a self-reported a history of physical abuse, vertigo, and allodynia during headache attacks, headaches triggered by lack of sleep and reading, greater headache burden and headache disability, and symptoms of anxiety and depression. This study suggests that a history of mTBI is associated with the phenotype, burden, clinical course, and associated comorbid diseases in patients with migraine, and highlights the importance of inquiring about a lifetime history of mTBI in patients being evaluated for migraine.

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Understanding Treatment of Mild Traumatic Brain Injury in the Military Health System

10.7249/rr844 ◽

2016 ◽

Cited By ~ 2

Author(s):

Carrie Farmer ◽

Heather Krull ◽

Thomas Concannon ◽

Molly Simmons ◽

Francesca Pillemer ◽

...

Keyword(s):

Traumatic Brain Injury ◽

Brain Injury ◽

Health System ◽

Mild Traumatic Brain Injury ◽

Military Health System ◽

Military Health ◽

The Military

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The Immune System's Role in the Consequences of Mild Traumatic Brain Injury (Concussion)

Frontiers in Immunology ◽

10.3389/fimmu.2021.620698 ◽

2021 ◽

Vol 12 ◽

Author(s):

Laura N. Verboon ◽

Hiren C. Patel ◽

Andrew D. Greenhalgh

Keyword(s):

Traumatic Brain Injury ◽

Brain Injury ◽

Mild Traumatic Brain Injury ◽

Immune Cell ◽

Chronic Traumatic Encephalopathy ◽

Anxiety And Depression ◽

Mild Tbi ◽

Patient Health ◽

History Of ◽

The Impact

Mild traumatic brain injury (mild TBI), often referred to as concussion, is the most common form of TBI and affects millions of people each year. A history of mild TBI increases the risk of developing emotional and neurocognitive disorders later in life that can impact on day to day living. These include anxiety and depression, as well as neurodegenerative conditions such as chronic traumatic encephalopathy (CTE) and Alzheimer's disease (AD). Actions of brain resident or peripherally recruited immune cells are proposed to be key regulators across these diseases and mood disorders. Here, we will assess the impact of mild TBI on brain and patient health, and evaluate the recent evidence for immune cell involvement in its pathogenesis.

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Eyeball Pressure Stimulation Unveils Subtle Autonomic Cardiovascular Dysfunction in Persons with a History of Mild Traumatic Brain Injury

Journal of Neurotrauma ◽

10.1089/neu.2014.3842 ◽

2015 ◽

Vol 32 (22) ◽

pp. 1796-1804 ◽

Cited By ~ 13

Author(s):

Max J. Hilz ◽

Felix Aurnhammer ◽

Steven R. Flanagan ◽

Tassanai Intravooth ◽

Ruihao Wang ◽

...

Keyword(s):

Traumatic Brain Injury ◽

Brain Injury ◽

Mild Traumatic Brain Injury ◽

Cardiovascular Dysfunction ◽

History Of

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Impact of routine S100B protein assay on CT scan use in children with mild traumatic brain injury

Clinical Chemistry and Laboratory Medicine (CCLM) ◽

10.1515/cclm-2020-1293 ◽

2020 ◽

Vol 0 (0) ◽

Author(s):

Fleur Lorton ◽

Jeanne Simon-Pimmel ◽

Damien Masson ◽

Elise Launay ◽

Christèle Gras-Le Guen ◽

...

Keyword(s):

Traumatic Brain Injury ◽

Brain Injury ◽

Mild Traumatic Brain Injury ◽

University Hospital ◽

S100b Protein ◽

Research Network ◽

Ct Scans ◽

Intermediate Risk ◽

Protein Assay ◽

The Impact

AbstractObjectivesTo evaluate the impact of implementing a modified Pediatric Emergency Care Applied Research Network (PECARN) rule including the S100B protein assay for managing mild traumatic brain injury (mTBI) in children.MethodsA before-and-after study was conducted in a paediatric emergency department of a French University Hospital from 2013 to 2015. We retrospectively included all consecutive children aged 4 months to 15 years who presented mTBI and were at intermediate risk for clinically important traumatic brain injury (ciTBI). We compared the proportions of CT scans performed and of in-hospital observations before (2013–2014) and after (2014–2015) implementation of a modified PECARN rule including the S100B protein assay.ResultsWe included 1,062 children with mTBI (median age 4.5 years, sex ratio [F/M] 0.73) who were at intermediate risk for ciTBI: 494 (46.5%) during 2013–2014 and 568 (53.5%) during 2014–2015. During 2014–2015, S100B protein was measured in 451 (79.4%) children within 6 h after mTBI. The proportion of CT scans and in-hospital observations significantly decreased between the two periods, from 14.4 to 9.5% (p=0.02) and 73.9–40.5% (p<0.01), respectively. The number of CT scans performed to identify a single ciTBI was reduced by two-thirds, from 18 to 6 CT scans, between 2013–2014 and 2014–2015. All children with ciTBI were identified by the rules.ConclusionsThe implementation of a modified PECARN rule including the S100B protein assay significantly decreased the proportion of CT scans and in-hospital observations for children with mTBI who were at intermediate risk for ciTBI.

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Interrupted time series design to evaluate ICD-9-CM to ICD-10-CM coding changes on trends in Colorado emergency department visits related to traumatic brain injury

Injury Epidemiology ◽

10.1186/s40621-021-00308-y ◽

2021 ◽

Vol 8 (1) ◽

Author(s):

Lauren Alexis De Crescenzo ◽

Barbara Alison Gabella ◽

Jewell Johnson

Keyword(s):

Public Health ◽

Traumatic Brain Injury ◽

Emergency Department ◽

Brain Injury ◽

Interrupted Time Series ◽

Emergency Department Visits ◽

Control And Prevention ◽

Icd 10 ◽

Ed Visits ◽

The Impact

Abstract Background The transition in 2015 to the Tenth Revision of the International Classification of Disease, Clinical Modification (ICD-10-CM) in the US led the Centers for Disease Control and Prevention (CDC) to propose a surveillance definition of traumatic brain injury (TBI) utilizing ICD-10-CM codes. The CDC’s proposed surveillance definition excludes “unspecified injury of the head,” previously included in the ICD-9-CM TBI surveillance definition. The study purpose was to evaluate the impact of the TBI surveillance definition change on monthly rates of TBI-related emergency department (ED) visits in Colorado from 2012 to 2017. Results The monthly rate of TBI-related ED visits was 55.6 visits per 100,000 persons in January 2012. This rate in the transition month to ICD-10-CM (October 2015) decreased by 41 visits per 100,000 persons (p-value < 0.0001), compared to September 2015, and remained low through December 2017, due to the exclusion of “unspecified injury of head” (ICD-10-CM code S09.90) in the proposed TBI definition. The average increase in the rate was 0.33 visits per month (p < 0.01) prior to October 2015, and 0.04 visits after. When S09.90 was included in the model, the monthly TBI rate in Colorado remained smooth from ICD-9-CM to ICD-10-CM and the transition was no longer significant (p = 0.97). Conclusion The reduction in the monthly TBI-related ED visit rate resulted from the CDC TBI surveillance definition excluding unspecified head injury, not necessarily the coding transition itself. Public health practitioners should be aware that the definition change could lead to a drastic reduction in the magnitude and trend of TBI-related ED visits, which could affect decisions regarding the allocation of TBI resources. This study highlights a challenge in creating a standardized set of TBI ICD-10-CM codes for public health surveillance that provides comparable yet clinically relevant estimates that span the ICD transition.

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