Related Experiment Video
Updated: Jun 27, 2026
14:08
Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
Published on: April 13, 2013
42.7K
Cutaneous Impact Location Predicts Intracranial Injury Among the Elderly Population with Traumatic Brain Injury
Marián Sedlák1,2, Adonis Wazir3, Aikaterini Dima4
1Trauma Surgery Department, Pavol Jozef Safarik University in Kosice, Faculty of Medicine & Louis Pasteur University Hospital, Kosice, Slovakia.
Open Access Emergency Medicine : OAEM
|July 31, 2023
Summary
The location of a head injury in elderly patients predicts intracranial bleeding after traumatic brain injury (TBI). Temporo-parietal and occipital impacts increase bleeding risk, aiding clinical assessment.
Area of Science:
- Geriatric Trauma
- Neurotrauma
- Emergency Medicine
Background:
- Traumatic brain injury (TBI) is a common diagnosis in elderly emergency department patients.
- Identifying intracranial bleeding risk is crucial for clinical management.
- The impact location on the head may influence injury severity.
Purpose of the Study:
- To evaluate the association between cutaneous impact location (CIL) and intracranial injury prevalence in geriatric TBI patients.
- To determine if CIL is a predictor of intracranial bleeding in this population.
Main Methods:
- Retrospective, single-center, observational study.
- Inclusion of geriatric patients (≥65 years) with suspected or confirmed TBI.
- Analysis of CIL and its correlation with intracranial lesions on head CT scans.
Main Results:
- Intracranial bleeding occurred in 9.5% of 381 geriatric TBI patients.
- Temporo-parietal and occipital impacts (CIL of interest) were associated with higher intracranial bleeding prevalence (12.9% vs 6.4%).
- CIL of interest was a significant predictor of intracranial bleeding (OR: 2.17).
Conclusions:
- Cutaneous impact location is a predictor of intracranial lesions in elderly TBI patients.
- Physicians should consider CIL in assessing head injury risk in older adults.
- Further research is needed to develop clinical tools incorporating CIL for TBI diagnosis.
Related Concept Videos
01:19The Effect of Aging on Tissues
Several body functions deteriorate with age. The external signs of aging are easily identifiable. For example, the skin becomes dry, less elastic, and thins out, forming wrinkles. The skin of the face begins to appear looser due to a decrease in the levels of elastic and collagen fibers in the connective tissue. Additionally, melanin production in the hair follicle decreases with age, resulting in gray hair. Moreover, the senses of sight and hearing decline, so glasses and hearing aids may...
01:24Prosopagnosia
Prosopagnosia, also known as face blindness, is the inability to recognize faces. In severe cases, individuals with prosopagnosia may not recognize close family members, including parents and spouses, by their faces. For instance, someone with prosopagnosia might walk past their child in a crowd, only realizing their mistake upon noticing their child's distinctive backpack or favorite jacket. Prosopagnosia specifically impairs facial recognition, while the recognition of other objects or...
01:28Traumatic Brain Injury l: Introduction
DefinitionTraumatic brain injury, or TBI, is a disturbance of normal brain function induced by an external mechanical force, such as a direct blow to the head or a penetrating injury. It can affect both brain structure and function, producing a wide range of clinical outcomes. TBI is a heterogeneous condition, meaning its effects may differ based on the type, location, and severity of the injury.Basis of ClassificationTBI is classified based on severity, injury mechanism, or pathophysiology. In...
01:29Alzheimer Disease l: Introduction
Alzheimer disease is a chronic, progressive, and irreversible neurodegenerative disorder and the most common cause of dementia in older adults. It leads to gradual neuronal loss, causing cognitive decline, behavioral changes, and loss of functional independence.Risk Factors and EtiologyThe disease is multifactorial. Age is the strongest risk factor, with prevalence doubling every 5 years after age 65. Genetic factors include mutations in genes such as APP, PSEN1, and PSEN2, which are associated...