Traumatic Brain Injury in the Elderly – A “Growing Epidemic”

As early as 2001, a report from the Centers for Disease Control and Prevention to the US Congress referred to Traumatic Brain Injury (TBI) as a “silent epidemic.” Despite ongoing efforts by both the public and government, this epidemic persists, particularly in developing countries. The causes are multifactorial, including inadequate infrastructure, slow enforcement of traffic laws, and a widespread apathy toward civic responsibilities. TBI disproportionately affects younger and middle-aged individuals—those typically seen as the primary breadwinners—resulting in significant socioeconomic consequences. With longer life expectancies and increased mobility among the elderly, a troubling new dimension of this “silent epidemic” has emerged: geriatric TBI, or TBI in older adults. The study “Geriatric Traumatic Brain Injury: An Attempt to Predict Outcome Using a Nomogram” by Visen et al. attempts to create a nomogram to predict outcomes for geriatric TBI, highlighting the urgent need for substantial revisions in both medical practices and societal attitudes to address this growing concern.[1] The definition of “elderly” remains subjective, but current guidelines classify all TBI patients aged 65 and older as having “geriatric TBI.” The scale of the problem is growing, and it is projected that if the aging population trends observed in high-income countries extend to low- and middle-income countries in the future, the global public health burden of TBI in older adults will rise dramatically in the coming years. In the United States, geriatric TBI accounts for over 80,000 emergency department visits annually, with most patients requiring hospitalization and often facing high mortality rates. A 2017 study from Finland predicts that these numbers will double by 2030. While data from India is limited, the NIMHANS TBI registry indicates a rise in geriatric TBI cases, from 5.2% of total TBI patients in 2005 to 9.6% in 2015.[2,3] TBI in the elderly presents with distinct characteristics. While falls are the leading cause of TBI in many Western countries, recent studies from India, including the current study, highlight road traffic accidents as the primary cause of TBI among older adults. Several factors exacerbate the severity of TBI in this population, such as the adherence of the dura, brain atrophy, decreased compliance, diminished neuronal plasticity, an increased risk of cerebral microbleeds, and impaired cerebral autoregulation. Additionally, the presence of comorbidities and the medications used to manage them further complicate recovery. Another concern relates to the application of general adult TBI guidelines for the elderly, particularly those with comorbid conditions. There is a need for revisions to ensure that older adults presenting to the emergency department with minor trauma and high GCS scores are triaged appropriately and receive care at higher levels. Similarly, given the reduced ability of the elderly cardiovascular system to respond to shock, it may be necessary to amend current guidelines for managing cerebral perfusion pressure (CPP) in older TBI patients. Surgical decisions for elderly patients should also be individualized, taking into account not only their clinical condition but also their social circumstances. A study from NIMHANS in India found a 6-month mortality rate exceeding 50% among elderly patients with severe TBI who underwent craniotomy, along with a high rate of severe disability.[3] A nuanced approach is essential when considering aggressive management strategies, weighing long-term quality of life and available support systems. Unlike younger patients, a “one-size-fits-all” approach does not work for the elderly. Management guidelines should be tailored to each individual, accounting for the possibility of comorbidities and the unique challenges faced by this population. Predicting outcomes for older adults with TBI is a critical aspect of tailoring treatment plans. A global systematic review and meta-analysis of in-hospital mortality and risk factors involving 2.22 million individuals identified several factors associated with higher mortality. These include older age, male gender, traffic-related injuries, moderate GCS (9-12), abnormal pupillary light reflex, hypotension following injury, polytrauma, surgical intervention, pre-existing comorbidities, and the use of anti-thrombotic and anticoagulant therapies prior to injury. Increasing age was particularly strongly linked to higher mortality, with a dose-response meta-analysis revealing an odds ratio of 1.029 for each additional year of age, indicating a significant rise in in-hospital mortality with advancing age.[4] There is an urgent need to develop TBI prognostic models specifically for the geriatric population, taking into account pre-injury functional status and existing comorbidities. The current models, such as the CRASH CT and IMPACT models, have significant limitations when applied to older adults. The CRASH-CT model tends to overestimate mortality in the elderly when considering only severe TBI, while the IMPACT model has shown poor calibration and significantly underpredicts mortality. Another issue with many existing prognostic models is the lack of sample heterogeneity. The newly developed elderly TBI (eTBI) score shows promise and has been validated in one study, offering a novel three-tier risk prediction model for older adults post-TBI.[5] Visen et al. have created a nomogram based on key clinical factors, attempting to address the lack of heterogeneity by including a broader patient population, regardless of comorbidities. However, like previous models, Visen’s nomogram does not account for pre-trauma functional status. Furthermore, this model requires further validation through large-scale studies with rigorous statistical analysis.[1] Given the increasing frequency of TBI among older adults, it is essential to renew efforts from clinicians, researchers, and the government to address this issue. The government should prioritize the development of elderly-friendly transportation options and implement fall and injury prevention strategies to reduce the impact and burden of TBI in older adults. Clinicians and researchers must recognize the unique care needs of this population and develop innovative approaches to determine optimal outcome measures, taking a comprehensive and personalized approach to treatment. The work of Visen et al., which represents a significant step forward in this direction, deserves commendation.[1]

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Journal
Neurology India
Published
2024-11-01
DOI
https://doi.org/10.4103/neurol-india.neurol-india_102_24
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1
Primary Topic
Traumatic Brain Injury and Neurovascular Disturbances
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0.37
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article

Traumatic Brain Injury in the Elderly – A “Growing Epidemic”

R Girish Menon
1 citations
Neurology India
Traumatic Brain Injury and Neurovascular Disturbances
0.37
article

Traumatic Brain Injury in the Elderly – A “Growing Epidemic”

R Girish Menon
article en
1 citations

Abstract

As early as 2001, a report from the Centers for Disease Control and Prevention to the US Congress referred to Traumatic Brain Injury (TBI) as a “silent epidemic.” Despite ongoing efforts by both the public and government, this epidemic persists, particularly in developing countries. The causes are multifactorial, including inadequate infrastructure, slow enforcement of traffic laws, and a widespread apathy toward civic responsibilities. TBI disproportionately affects younger and middle-aged individuals—those typically seen as the primary breadwinners—resulting in significant socioeconomic consequences. With longer life expectancies and increased mobility among the elderly, a troubling new dimension of this “silent epidemic” has emerged: geriatric TBI, or TBI in older adults. The study “Geriatric Traumatic Brain Injury: An Attempt to Predict Outcome Using a Nomogram” by Visen et al. attempts to create a nomogram to predict outcomes for geriatric TBI, highlighting the urgent need for substantial revisions in both medical practices and societal attitudes to address this growing concern.[1] The definition of “elderly” remains subjective, but current guidelines classify all TBI patients aged 65 and older as having “geriatric TBI.” The scale of the problem is growing, and it is projected that if the aging population trends observed in high-income countries extend to low- and middle-income countries in the future, the global public health burden of TBI in older adults will rise dramatically in the coming years. In the United States, geriatric TBI accounts for over 80,000 emergency department visits annually, with most patients requiring hospitalization and often facing high mortality rates. A 2017 study from Finland predicts that these numbers will double by 2030. While data from India is limited, the NIMHANS TBI registry indicates a rise in geriatric TBI cases, from 5.2% of total TBI patients in 2005 to 9.6% in 2015.[2,3] TBI in the elderly presents with distinct characteristics. While falls are the leading cause of TBI in many Western countries, recent studies from India, including the current study, highlight road traffic accidents as the primary cause of TBI among older adults. Several factors exacerbate the severity of TBI in this population, such as the adherence of the dura, brain atrophy, decreased compliance, diminished neuronal plasticity, an increased risk of cerebral microbleeds, and impaired cerebral autoregulation. Additionally, the presence of comorbidities and the medications used to manage them further complicate recovery. Another concern relates to the application of general adult TBI guidelines for the elderly, particularly those with comorbid conditions. There is a need for revisions to ensure that older adults presenting to the emergency department with minor trauma and high GCS scores are triaged appropriately and receive care at higher levels. Similarly, given the reduced ability of the elderly cardiovascular system to respond to shock, it may be necessary to amend current guidelines for managing cerebral perfusion pressure (CPP) in older TBI patients. Surgical decisions for elderly patients should also be individualized, taking into account not only their clinical condition but also their social circumstances. A study from NIMHANS in India found a 6-month mortality rate exceeding 50% among elderly patients with severe TBI who underwent craniotomy, along with a high rate of severe disability.[3] A nuanced approach is essential when considering aggressive management strategies, weighing long-term quality of life and available support systems. Unlike younger patients, a “one-size-fits-all” approach does not work for the elderly. Management guidelines should be tailored to each individual, accounting for the possibility of comorbidities and the unique challenges faced by this population. Predicting outcomes for older adults with TBI is a critical aspect of tailoring treatment plans. A global systematic review and meta-analysis of in-hospital mortality and risk factors involving 2.22 million individuals identified several factors associated with higher mortality. These include older age, male gender, traffic-related injuries, moderate GCS (9-12), abnormal pupillary light reflex, hypotension following injury, polytrauma, surgical intervention, pre-existing comorbidities, and the use of anti-thrombotic and anticoagulant therapies prior to injury. Increasing age was particularly strongly linked to higher mortality, with a dose-response meta-analysis revealing an odds ratio of 1.029 for each additional year of age, indicating a significant rise in in-hospital mortality with advancing age.[4] There is an urgent need to develop TBI prognostic models specifically for the geriatric population, taking into account pre-injury functional status and existing comorbidities. The current models, such as the CRASH CT and IMPACT models, have significant limitations when applied to older adults. The CRASH-CT model tends to overestimate mortality in the elderly when considering only severe TBI, while the IMPACT model has shown poor calibration and significantly underpredicts mortality. Another issue with many existing prognostic models is the lack of sample heterogeneity. The newly developed elderly TBI (eTBI) score shows promise and has been validated in one study, offering a novel three-tier risk prediction model for older adults post-TBI.[5] Visen et al. have created a nomogram based on key clinical factors, attempting to address the lack of heterogeneity by including a broader patient population, regardless of comorbidities. However, like previous models, Visen’s nomogram does not account for pre-trauma functional status. Furthermore, this model requires further validation through large-scale studies with rigorous statistical analysis.[1] Given the increasing frequency of TBI among older adults, it is essential to renew efforts from clinicians, researchers, and the government to address this issue. The government should prioritize the development of elderly-friendly transportation options and implement fall and injury prevention strategies to reduce the impact and burden of TBI in older adults. Clinicians and researchers must recognize the unique care needs of this population and develop innovative approaches to determine optimal outcome measures, taking a comprehensive and personalized approach to treatment. The work of Visen et al., which represents a significant step forward in this direction, deserves commendation.[1]

Neurology IndiaVol. 72(6)
Kasturba Medical College, Manipal (IN)
Good health and well-being
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Traumatic Brain Injury and Neurovascular Disturbances
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