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Multinomial Estimations of Predictive Risk Factors for Traumatic Brain Injuries

Introduction Traumatic brain injuries (TBIs) affect millions of patients each year, with more than 220,000 hospitalizations in 2019 and 64,000 deaths in 2020 alone. TBIs span a plethora of injuries including cerebral contusions and lacerations, axonal injuries, optic pathway disruptions, and skull f...

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Autores principales: Rubinshteyn, Vladimir, Giordano, Vincent, Cohen, Douglas, LeBaron, Johnathon, Menon, Sujoy, Demaree, Christopher
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10082681/
https://www.ncbi.nlm.nih.gov/pubmed/37038379
http://dx.doi.org/10.7759/cureus.37307
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author Rubinshteyn, Vladimir
Giordano, Vincent
Cohen, Douglas
LeBaron, Johnathon
Menon, Sujoy
Demaree, Christopher
author_facet Rubinshteyn, Vladimir
Giordano, Vincent
Cohen, Douglas
LeBaron, Johnathon
Menon, Sujoy
Demaree, Christopher
author_sort Rubinshteyn, Vladimir
collection PubMed
description Introduction Traumatic brain injuries (TBIs) affect millions of patients each year, with more than 220,000 hospitalizations in 2019 and 64,000 deaths in 2020 alone. TBIs span a plethora of injuries including cerebral contusions and lacerations, axonal injuries, optic pathway disruptions, and skull fractures. Previous research has established that characteristics such as sex, mechanism of injury (MOI), and blood-thinning agents have some causal connections to a variety of cranial traumas. Methods This paper sought to analyze aggravating risk factors for various TBIs in the New York City borough of Staten Island. Data on eight predictive risk variables were collected at a level 1 trauma center from January 1, 2022, to December 31, 2022: MOI, seizure history, anticoagulant/antiplatelet therapy, alcoholism, age, biological sex, tested alcohol level, and body mass index (BMI). A multinomial logistic regression was estimated to generate risk ratios (RRs), and chi-squared tests were carried out to determine univariate associations. Results It was found that blood thinner use and sex were both significant predictors of various types of TBIs. Additionally, those not tested for alcohol, including pediatric patients, were less likely to suffer most forms of TBI, while BMI had a negligible relationship with any TBI class. The use of blood-thinning agents put patients at an increased risk of concussions (relative risk ratio [RRR]: 1.82; 95% confidence interval [CI]: 1.10-3.02) and undiagnosed intracranial injuries (RRR: 1.90; 95% CI: 1.08-3.34). Men were at higher risk of multiple cranial injuries than women (RRR: 3.62; 95% CI: 1.38-9.48), as well as physical traumas such as brain lacerations and hemorrhages (RRR: 2.81, 95% CI: 1.28-6.18). BMI was weakly correlated with undiagnosed cranial injuries (RRR: 1.04; 95% CI: 1.00-1.08) and slightly uncorrelated with physical traumas (RRR: 0.94; 95% CI: 0.88-1.00). Those not tested for alcohol were at far less risk of multiple TBIs (RRR: 0.08; 95% CI: 0.01-0.66), concussions (RRR: 0.27; 95% CI: 0.11-0.71), and physical brain traumas (RRR: 0.33; 95% CI: 0.13-0.84). No parameter exhibited any statistical significance with skull fractures. Conclusion Particular risk factors for TBIs include biological sex and blood thinner use. Injury prevention efforts should be based on the category of TBI, with a particular focus on blood thinner users becoming concussive post-trauma. Attention should also be paid to men who engage in risky behavior such as binge drinking and crime sustaining more than one brain trauma or isolated brain bleeds. Therefore, improved hospital outreach for fall precautions in nursing homes and targeted interventions for at-risk men are vital for future projects.
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spelling pubmed-100826812023-04-09 Multinomial Estimations of Predictive Risk Factors for Traumatic Brain Injuries Rubinshteyn, Vladimir Giordano, Vincent Cohen, Douglas LeBaron, Johnathon Menon, Sujoy Demaree, Christopher Cureus Emergency Medicine Introduction Traumatic brain injuries (TBIs) affect millions of patients each year, with more than 220,000 hospitalizations in 2019 and 64,000 deaths in 2020 alone. TBIs span a plethora of injuries including cerebral contusions and lacerations, axonal injuries, optic pathway disruptions, and skull fractures. Previous research has established that characteristics such as sex, mechanism of injury (MOI), and blood-thinning agents have some causal connections to a variety of cranial traumas. Methods This paper sought to analyze aggravating risk factors for various TBIs in the New York City borough of Staten Island. Data on eight predictive risk variables were collected at a level 1 trauma center from January 1, 2022, to December 31, 2022: MOI, seizure history, anticoagulant/antiplatelet therapy, alcoholism, age, biological sex, tested alcohol level, and body mass index (BMI). A multinomial logistic regression was estimated to generate risk ratios (RRs), and chi-squared tests were carried out to determine univariate associations. Results It was found that blood thinner use and sex were both significant predictors of various types of TBIs. Additionally, those not tested for alcohol, including pediatric patients, were less likely to suffer most forms of TBI, while BMI had a negligible relationship with any TBI class. The use of blood-thinning agents put patients at an increased risk of concussions (relative risk ratio [RRR]: 1.82; 95% confidence interval [CI]: 1.10-3.02) and undiagnosed intracranial injuries (RRR: 1.90; 95% CI: 1.08-3.34). Men were at higher risk of multiple cranial injuries than women (RRR: 3.62; 95% CI: 1.38-9.48), as well as physical traumas such as brain lacerations and hemorrhages (RRR: 2.81, 95% CI: 1.28-6.18). BMI was weakly correlated with undiagnosed cranial injuries (RRR: 1.04; 95% CI: 1.00-1.08) and slightly uncorrelated with physical traumas (RRR: 0.94; 95% CI: 0.88-1.00). Those not tested for alcohol were at far less risk of multiple TBIs (RRR: 0.08; 95% CI: 0.01-0.66), concussions (RRR: 0.27; 95% CI: 0.11-0.71), and physical brain traumas (RRR: 0.33; 95% CI: 0.13-0.84). No parameter exhibited any statistical significance with skull fractures. Conclusion Particular risk factors for TBIs include biological sex and blood thinner use. Injury prevention efforts should be based on the category of TBI, with a particular focus on blood thinner users becoming concussive post-trauma. Attention should also be paid to men who engage in risky behavior such as binge drinking and crime sustaining more than one brain trauma or isolated brain bleeds. Therefore, improved hospital outreach for fall precautions in nursing homes and targeted interventions for at-risk men are vital for future projects. Cureus 2023-04-08 /pmc/articles/PMC10082681/ /pubmed/37038379 http://dx.doi.org/10.7759/cureus.37307 Text en Copyright © 2023, Rubinshteyn et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Emergency Medicine
Rubinshteyn, Vladimir
Giordano, Vincent
Cohen, Douglas
LeBaron, Johnathon
Menon, Sujoy
Demaree, Christopher
Multinomial Estimations of Predictive Risk Factors for Traumatic Brain Injuries
title Multinomial Estimations of Predictive Risk Factors for Traumatic Brain Injuries
title_full Multinomial Estimations of Predictive Risk Factors for Traumatic Brain Injuries
title_fullStr Multinomial Estimations of Predictive Risk Factors for Traumatic Brain Injuries
title_full_unstemmed Multinomial Estimations of Predictive Risk Factors for Traumatic Brain Injuries
title_short Multinomial Estimations of Predictive Risk Factors for Traumatic Brain Injuries
title_sort multinomial estimations of predictive risk factors for traumatic brain injuries
topic Emergency Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10082681/
https://www.ncbi.nlm.nih.gov/pubmed/37038379
http://dx.doi.org/10.7759/cureus.37307
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