The etiology of trauma in geriatric traumatic patients refer to an academic trauma center: a cross sectional study

The etiology of trauma in geriatric traumatic patients refer to an academic trauma center: a cross sectional study | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article The etiology of trauma in geriatric traumatic patients refer to an academic trauma center: a cross sectional study Elham Pishbin, Hosein Zakeri, Behrang` Rezvani Kakhki, Hanieh Ghashghaee, and 3 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3826130/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Geriatric trauma refers to injuries sustained by elderly individuals, typically those aged 65 years and older. The management of geriatric trauma in the Emergency Department requires a comprehensive approach that takes into account the physiological changes associated with aging, as well as the increased vulnerability and complexity of injuries in this population. This is a cross-sectional study aimed at evaluating the etiology of trauma in geriatric patients referred to the ED of level-1 an academic center. All patients with complaints of trauma are evaluated, patients over 65-years enrolled in the study. 319 patients were investigated, 49/8% male and 50/2%female.The most common underlying diseases are high blood pressure, diabetes type 2 and ischemic heart diseases. The most common trauma cause was falling from a same level (48/9%), followed by a fall from a height (16/6%), accident with cars (16%) and motorcycles (9/1%). The most common injury was extremities trauma (71/5%) following head trauma (13/2%) and chest trauma (6%). The severity of injury in extremity was more in women, and chest trauma was more sever in men. According to our results, the fall and subsequent car accident had the highest frequency as a cause of trauma in elderly patients admitted to our academic trauma center. Hypertension and diabetes have also been the most common underlying diseases. Head and neck injuries are life-threatening and critical in a larger number of patients than other injuries, and protecting them can be effective in reducing mortality and serious injuries in elderly trauma patients. geriatrics etiology trauma center falling Figures Figure 1 1. Introduction Geriatric trauma refers to injuries sustained by elderly individuals, typically those aged 65 years and older ( 1 ). As the population continues to age, the incidence of geriatric trauma has been on the rise, presenting unique challenges for emergency departments (EDs) worldwide ( 2 ). The management of geriatric trauma in the ED requires a comprehensive approach that takes into account the physiological changes associated with aging, as well as the increased vulnerability and complexity of injuries in this population ( 3 ). These injuries can have severe consequences for older individuals, leading to increased morbidity, mortality, and decreased quality of life ( 1 , 4 ). One of the key factors contributing to geriatric trauma is age-related physiological changes. This makes older adults more susceptible to fractures from falls or other traumatic events ( 5 ). Additionally, aging can lead to a decrease in sensory perception and balance, increasing the risk of falls and subsequent injuries ( 6 , 7 ). The complexity of injuries in geriatric trauma patients is another significant consideration for ED. Older adults often have multiple comorbidities such as heart disease, diabetes, or cognitive impairments that can complicate their management ( 8 ). These comorbidities may affect treatment decisions and increase the risk of adverse outcomes ( 9 , 10 ). The assessment and management of geriatric trauma in the ED require a multidisciplinary approach involving emergency physicians, nurses, surgeons, social workers, and rehabilitation specialists ( 11 ). The initial evaluation should focus on identifying life-threatening injuries while considering potential age-related complications such as delayed healing or impaired immune response ( 12 ). Diagnostic imaging plays a crucial role in evaluating geriatric trauma patients ( 13 , 14 ). Therefore, understanding the etiology or causes of geriatric trauma is crucial in developing effective preventive strategies. This study aims to explore the etiologic investigation of geriatric trauma and highlight the importance of prevention in this vulnerable population. 2. Material & Method 2 − 1: Study design. This is a cross-sectional study aimed at evaluating the etiology of trauma in geriatric patients referred to the ED of level-1 an academic center. The study was conducted on trauma patients admitted to the ED of Shahid-Hasheminejad Hospital during 2021. 2–2: Participants. All patients with complaints of trauma are evaluated, patients over 65-years enrolled in the study and evaluated in terms of age and sex, severity of trauma, underlying diseases, type of trauma, and finally the outcome of the patients including discharge from the ED, hospitalization in the ward or the intensive care unit (ICU) and deceased, recorded from patients file. For all patients, the checklist containing the mentioned items is filled using the registered electronic file of the patients. Patients whose file records were incomplete or who were discharged with informed consent with incomplete data were excluded from the study. This study was performed with a simple sampling method for 1 year. 2–3: Statistical Analysis. Descriptive and inferential statistics in SPSS software version 26 were performed for data analysis. Charts and statistical tables were used to describe the data; in the case of type and severity of trauma descriptive statistics such as mean, median, and standard deviation were used. The severity of trauma was measured using the Injury Severity Scale (AIS). To check the severity of injury in different parts of the body, the AIS criterion is used, which is graded in Table-1. Student's t-test or Wilcoxon test was used to compare the severity of trauma. The cause of trauma, underlying diseases, type of trauma, etc. were reported using descriptive statistics such as frequency and percentage; Chi-square tests were used to compare and describe the severity of injuries and injuries. 2–4: Ethical consideration. The patient’s data was coded and entered with the name removed to remain confidential. All steps of this study followed the ethical principles of Helsinki and were approved by the Ethics Committee of Mashhad University of Medical Sciences. 3. Result In general, during the 1-year of the study, 319 people were eligible for the study, of which 49.8% were men and the rest were women. The average age of the patients was 75.18 ± 18.39. Table 1 shows the distribution of demographic variables, variables related to vital signs, and history of underlying diseases in all patients by gender. Based on this data, the most common underlying diseases were high blood pressure, type 2 diabetes, and ischemic heart disease, respectively. The prevalence of all three mentioned diseases in women is significantly higher than in male patients, so the prevalence of high blood pressure and ischemic heart disease in female referring patients was 53.10% and 21.9%, respectively, while the frequency of these in male patients was 35.80% and 13.21% respectively (Table-2). The frequency of trauma caused in men and women is somewhat different (Table-2). The main and most common causes of trauma in the male patients were falling on the same level (35.80%), car accidents, fall from a height, and motorcycle accidents, respectively. the most common cause of trauma in females was falling on the same level (61.90%), but falling from a height was second (15%) and the other causes were car accident (8.10%) and motorcycle (5.60%) (Table-3). 92.8% (296 people) of these patients were admitted to the hospital ward. Ten patients (1.03%) were discharged in good general condition, 5 patients were admitted to the ICU, and death occurred in only 2.5% of patients. As shown in Figure-1, the prevalence of discharge outcomes and admission to the ward in male and female patients were similar. However, it seems that the outcome of death and hospitalization in the intensive care unit (ICU) was higher in males than in females. The distribution of injury severity in different parts is based on the AIS scale were shown in Table-4. The Chi-square showed that the frequency of severe trauma (AIS score 3 and greater than 3) of the head, spine, abdomen, and pelvis was similar in males and females and there was no significant difference (Table 5). The frequency of severe trauma to the chest and upper and lower extremities was different in men and women and this difference was statistically significant. Severe trauma of the upper and lower extremities was more common in women compared to men. However, cases of severe chest trauma were more common in men than in women (P-Value = 0.008). 4. Discussion According to the information obtained from 319 trauma patients over 65-years, the most common cause of trauma in people over 65 years of age is fall on the same level (48.9% of all cases). The results of other studies show that in most medical centers, falls are the main cause of trauma in elderly people, according to the frequency of the causes of trauma, it is appropriate to take consideration to reduce this occurrence in each area ( 11 , 12 ). Paying attention to the underlying diseases, drugs and neurological disorders related to aging in these patients can prevent the occurrence of trauma in this age group to some extent ( 13 ). Also, dangerous surrounding areas that may cause them to fall, such as stairs with non-standard design, the presence of obstacles in the path, etc., should be according to the standard conditions of their age ( 14 ). Accidents with automobiles (16%) and motorcycles (9%) are other important causes of trauma in the elderly, especially in men. Increasing age is generally effective in reducing the ability and accuracy of a person's driving. Vision, hearing, the ability to react to the stimulus, and overall mental cognitive function that is necessary for driving accurately and correctly, may undergo changes and weaknesses with the aging process and cause road accidents. Considering that in our country, men drive more than women, and in general, women spend more time at home than men, the frequency of accidents in elderly men has been higher than in women. Interpersonal assault injury is one of the other factors that lead to trauma at different ages. In the present study, only 2.5% of the cases were traumatized due to interpersonal assault; which was more in women. Gioffre-Florio and his colleagues in Rome, investigated the prevalence, related risk factors, the injured organs, and the difference in prevalence between men and women in patients with trauma. In this study, 4554 patients over 65 years of age (61% women and 39% men) were examined and divided into three age groups, 65 to 75 years, 75 to 85 years, and over 85 years. The most age group involved were people between 75 and 85 years old; in this study, women are more affected in 75–85 years and men in 65–75 years ( 15 ). The most common type of trauma was head injury and fracture of the upper and lower limb, respectively. They found an increase in the prevalence of head injuries in the age group over 85 years old (42% of all injuries in this age group). The most common related underlying diseases in this study were hypertension and ischemic heart disease respectively (diabetes in this study was much less prevalent than in our study) ( 15 ). Compared to our study, M. GIOFFRÈ-FLORIO's study divided the patients by their age group into three separate groups, and the prevalence of underlying diseases, frequency of affected areas, and different injuries in all 3 groups were separately checked and compared at the end. In this study, the frequency of injuries to lower and upper limbs was mentioned along with the type of injury ( 15 ). Ricardo Naraynsingh and his colleagues conducted a study on trauma patients aged 18 years and above; 1052 patients were examined, of which 941 were aged between 18 and 65, and 111 people were over 65 years old. This study aimed to compare the cause and type of injuries caused by trauma in young and elderly. In this study, the most common cause of trauma in the elderly was falling (71%), among which (94%) fall from the same level and (6%) fall from height. Also, following a fall in the elderly and trauma to the lower limb (35%), head and neck (26%), and upper limb (19%) were common. About 14% of elderly patients have suffered more than one injury after a fall ( 11 ). In this study, as in our study, extremities were the most common (upper and lower limbs), which included about 50% of the cases, followed by head injuries, which were seen in about 30% of the cases ( 11 ). In this study, as in our study, the AIS was used to check the severity of organ damage, but unlike our study, lower limb injuries in this study had the most cases of severe to critical damage (in 31% of cases, they had AIS > 2), then head injuries, the most cases were severe to critical injuries (in 19% of cases, AIS > 2) ( 11 ). Compared to our study, Ricardo Naraynsingh's study investigated more closely the injuries that occurred following falls in the elderly. Also, in this study, young and old people were compared in terms of various things such as the cause of trauma and injuries, whereas, we just evaluated the geriatric patient. Conclusion According to the results of our research, the main cause of trauma in elderly people is falls from the same level and then motor-vehicle car accidents. Also, HTN and diabetes were the most common underlying and related diseases in the occurrence of trauma in the elderly under our investigation. Extremity injury (upper and lower limbs) and then head and neck are the most common injuries in elderly trauma patients. Head and neck injuries are life-threatening and critical in a larger number of patients than other injuries, and protecting them can be effective in reducing mortality and serious injuries in elderly trauma patients. Declarations Competing interest: None Author Contribution 1) Conceived and designed the experiments by Dr.Vafadar Moradi who is the master guide of this research2) Performed the experiments by Dr.Ghashghaee.3) Analyzed and interpreted the data by Dr. Sadeghii4) Contributed reagents, materials, analysis tools, or data by Dr. Pishbin Dr.Zakeri, Dr. Rezvani Kakhki, and Dr. Sadrzadeh. 5) Wrote the paper by Dr.Vafadar Moradi and Dr. Pishbin. Acknowledgment This research was supervised by Dr. Vafadar moradi on Dr. Ghashghaee to graduate as a medical doctor. ll the researchers in this study were very grateful to all the elderly who patiently cooperated with us. References Chu I, Vaca F, Stratton S, Chakravarthy B, Hoonpongsimanont W, Lotfipour S. Geriatric trauma care: challenges facing emergency medical services. Cal J Emerg Med. 2007 May;8(2):51-5. PMID: 20440401; PMCID: PMC2860422. Jiang, L., Zheng, Z. & Zhang, M. The incidence of geriatric trauma is increasing and comparison of different scoring tools for the prediction of in-hospital mortality in geriatric trauma patients. World J Emerg Surg 15 , 59 (2020). https://doi.org/10.1186/s13017-020-00340-1 Benoit E, Stephen AH, Monaghan SF, Lueckel SN, Adams CA Jr. Geriatric Trauma. Rhode Island Med J. 2019;102(8):19–22. Barea-Mendoza JA, Chico-Fernandez M, Sanchez-Casado M, Molina-Diaz I, Quintana-Diaz M, Jimenez-Moragas JM, Perez-Barcena J, Llompart-Pou JA, en representacion del Grupo de Trabajo de Neurointensivismo y Trauma de la Sociedad Espanola de Medicina Intensiva CyUC. Predicting survival in geriatric trauma patients: a comparison between the TRISS methodology and the Geriatric Trauma Outcome Score. Cirugia Espanola. 2018;96(6):357–62. Moran CG, Lecky F, Bouamra O, Lawrence T, Edwards A, Woodford M, Willett K, Coats TJ. Changing the System - Major Trauma Patients and Their Outcomes in the NHS (England) 2008-17. EClinicalMedicine. 2018 Aug 5;2-3:13-21. doi: 10.1016/j.eclinm.2018.07.001. PMID: 31193723; PMCID: PMC6537569. Gabbe BJ, Simpson PM, Sutherland AM, Wolfe R, Fitzgerald MC, Judson R, Cameron PA. Improved functional outcomes for major trauma patients in a regionalized, inclusive trauma system. Ann Surg. 2012 Jun;255(6):1009-15. doi: 10.1097/SLA.0b013e31824c4b91. PMID: 22584628. Kang, B.H., Jung, K., Kim, S. et al. Accuracy and influencing factors of the Field Triage Decision Scheme for adult trauma patients at a level-1 trauma center in Korea. BMC Emerg Med 22 , 101 (2022). https://doi.org/10.1186/s12873-022-00637-1 Abrahams, J.M., Sagar, C. & Rickman, M. The burden of cycling-related trauma to the orthopaedic and trauma department of a level 1 trauma hospital in Adelaide, South Australia. J Orthop Surg Res 16 , 127 (2021). https://doi.org/10.1186/s13018-021-02242- Bonne S, Schuerer DJ. Trauma in the older adult: epidemiology and evolving geriatric trauma principles. Clin Geriatr Med. 2013 Feb;29(1):137-50. doi: 10.1016/j.cger.2012.10.008. PMID: 23177604.Shafi S, Nathens AB, Cryer HG, Hemmila MR, Pasquale MD, Clark DE, Neal M, Goble S, Meredith JW, Fildes JJ. The Trauma Quality Improvement Program of the American College of Surgeons Committee on Trauma. J Am Coll Surg. 2009 Oct;209(4):521-530.e1. doi: 10.1016/j.jamcollsurg.2009.07.001. Epub 2009 Aug 13. PMID: 19801325. Llompart-Pou, J.A., Pérez-Bárcena, J., Barea-Mendoza, J.A. et al. Trauma risk adjustment in geriatric trauma. Eur J Trauma Emerg Surg 46 , 1471–1472 (2020). https://doi.org/10.1007/s00068-020-01301-8 Naraynsingh R, Sammy I, Paul JF, Nunes P. Trauma in the elderly in Trinidad and Tobago: a cross-sectional study. Eur J Emerg Med. 2015 Jun;22(3):219-21. doi: 10.1097/MEJ.0000000000000196. PMID: 25099529. Hendrickson, S.A., Osei-Kuffour, D., Aylwin, C. et al. ‘Silver’ trauma: predicting mortality in elderly major trauma based on place of injury. Scand J Trauma Resusc Emerg Med 23 (Suppl 2), A4 (2015). https://doi.org/10.1186/1757-7241-23-S2-A4 Bozzette A, Aeron-Thomas A. Reducing trauma deaths in the UK. Lancet. 2013 Jul 20;382(9888):208. doi: 10.1016/S0140-6736(13)61597-4. PMID: 23870529. Vaishya R, Vaish A. Falls in Older Adults are Serious. Indian J Orthop. 2020 Jan 24;54(1):69-74. doi: 10.1007/s43465-019-00037-x. PMID: 32257019; PMCID: PMC7093636. Gioffrè-Florio M, Murabito LM, Visalli C, Pergolizzi FP, Famà F. Trauma in elderly patients: a study of prevalence, comorbidities and gender differences. G Chir. 2018 Jan-Feb;39(1):35-40. doi: 10.11138/gchir/2018.39.1.035. PMID: 29549679; PMCID: PMC5902142. Tables Table-1. Injury Severity score Score Severity 0 Minor 1 Moderate 2 Serious 3 Severe 4 Critical 5 Maximum Table-2. Distribution of demographic variables and history of underlying diseases SBP: Systolic Blood Pressure; DBP: Diastolic Blood Pressure; HR: Heart Rate; RR: Respiratory Rate; GCS: Glasgow Coma Scale; IHD: Ischemic Heart Disease; DM: Diabetic Mellitus; HTN: Hypertension; CVA: Cerebra Vascular Accident; HLP: Hyperlipidemia; CRF: Chronic Renal Failure; COPD: Chronic Obstructive pulmonary Disease; CHF: Chronic Heart Failure Table-2. Trauma type and mechanism Table-4. Distribution of injury severity based on the AIS scale Table-5. The frequency of severity of injury based on AIS scale in male and female Site of Injury AIS men Female P value N % N % Head < 3 140 48.40 149 51.6 0.12 ≥ 3 19 19.00 11 36.70 Spine < 3 0 00.00 0 00.00 - ≥ 3 0 00.00 0 00.00 Chest < 3 149 48.50 158 51.50 0.02 ≥ 3 10 83.30 2 16.70 Abdominal-pelvic < 3 152 49.20 157 50.80 0.19 ≥ 3 7 70.00 3 30.00 Extremities < 3 87 57.60 64 42.40 0.008 ≥ 3 72 42.90 96 57.10 Additional Declarations No competing interests reported. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-3826130","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":265480989,"identity":"9faa4724-f185-4912-9517-15d60467de7f","order_by":0,"name":"Elham Pishbin","email":"","orcid":"","institution":"Mashhad University of Medical Sciences","correspondingAuthor":false,"prefix":"","firstName":"Elham","middleName":"","lastName":"Pishbin","suffix":""},{"id":265480991,"identity":"4540ce6d-63c7-4492-87d7-57086c470cd0","order_by":1,"name":"Hosein Zakeri","email":"","orcid":"","institution":"Mashhad University of Medical Sciences","correspondingAuthor":false,"prefix":"","firstName":"Hosein","middleName":"","lastName":"Zakeri","suffix":""},{"id":265480993,"identity":"3e1a7d5c-5689-4c3b-bb81-5b0480f51fa1","order_by":2,"name":"Behrang` Rezvani Kakhki","email":"","orcid":"","institution":"Mashhad University of Medical Sciences","correspondingAuthor":false,"prefix":"","firstName":"Behrang`","middleName":"Rezvani","lastName":"Kakhki","suffix":""},{"id":265480994,"identity":"096a0cad-4b8d-486c-a450-9476e0901ad7","order_by":3,"name":"Hanieh Ghashghaee","email":"","orcid":"","institution":"Mashhad University of Medical Sciences","correspondingAuthor":false,"prefix":"","firstName":"Hanieh","middleName":"","lastName":"Ghashghaee","suffix":""},{"id":265480996,"identity":"381c027d-87e1-4a53-8db2-f3c372a337ef","order_by":4,"name":"Sayyed Majid Sadrzadeh","email":"","orcid":"","institution":"Mashhad University of Medical Sciences","correspondingAuthor":false,"prefix":"","firstName":"Sayyed","middleName":"Majid","lastName":"Sadrzadeh","suffix":""},{"id":265480999,"identity":"17d66fdc-158d-48e8-9697-02a53460722c","order_by":5,"name":"Masumeh Sadeghi","email":"","orcid":"","institution":"Mashhad University of Medical Sciences","correspondingAuthor":false,"prefix":"","firstName":"Masumeh","middleName":"","lastName":"Sadeghi","suffix":""},{"id":265481000,"identity":"0a8d9a59-af80-4c38-9f4d-fbc5fcd7e87c","order_by":6,"name":"Elnaz Vafadar Moradi","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA4ElEQVRIiWNgGAWjYBACgwOMDxh4QCz2BpgYYwMu1VAtzAYQLTwHSNYikUCkwyTbDzN+eFNzL5pf8nWa1I0/DPL8DcxtH/Bq6UlmlpxzrDh35uzcbdK5bQyGMw4wNs/Aq6Uh/4A0D1tC7obbIC0NDIwbGBib8TqMn/8x82+efwm5+2+e3Sad84fBnrAWiWQ2ad42oC0SvEAtbAyJBLWwSTxms5zbl5A740zuZuvcNonkGYcJaeFPZr7x5ltCbn/72Y23c/7Y2Pa3tz/GqwUdSDAwMJOkYRSMglEwCkYBNgAA4NtHef+V1LAAAAAASUVORK5CYII=","orcid":"","institution":"Mashhad University of Medical Sciences","correspondingAuthor":true,"prefix":"","firstName":"Elnaz","middleName":"Vafadar","lastName":"Moradi","suffix":""}],"badges":[],"createdAt":"2023-12-31 15:44:13","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-3826130/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-3826130/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":49324368,"identity":"1e4f3781-9580-4b41-a781-d9caf789671c","added_by":"auto","created_at":"2024-01-08 17:17:56","extension":"jpg","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":56886,"visible":true,"origin":"","legend":"\u003cp\u003eLegend not included with this version.\u003c/p\u003e","description":"","filename":"Figure1.jpg","url":"https://assets-eu.researchsquare.com/files/rs-3826130/v1/ac8bcbe172298c024a9b5eba.jpg"},{"id":49378679,"identity":"3bf65625-6540-46ae-8829-d5ac55bbdd9c","added_by":"auto","created_at":"2024-01-09 17:38:48","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":329699,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-3826130/v1/fd2a662e-2c74-488a-bebe-31222087020e.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"The etiology of trauma in geriatric traumatic patients refer to an academic trauma center: a cross sectional study","fulltext":[{"header":"1. Introduction","content":"\u003cp\u003eGeriatric trauma refers to injuries sustained by elderly individuals, typically those aged 65 years and older (\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e). As the population continues to age, the incidence of geriatric trauma has been on the rise, presenting unique challenges for emergency departments (EDs) worldwide (\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e). The management of geriatric trauma in the ED requires a comprehensive approach that takes into account the physiological changes associated with aging, as well as the increased vulnerability and complexity of injuries in this population (\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e). These injuries can have severe consequences for older individuals, leading to increased morbidity, mortality, and decreased quality of life (\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e, \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eOne of the key factors contributing to geriatric trauma is age-related physiological changes. This makes older adults more susceptible to fractures from falls or other traumatic events (\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e). Additionally, aging can lead to a decrease in sensory perception and balance, increasing the risk of falls and subsequent injuries (\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e, \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eThe complexity of injuries in geriatric trauma patients is another significant consideration for ED. Older adults often have multiple comorbidities such as heart disease, diabetes, or cognitive impairments that can complicate their management (\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e). These comorbidities may affect treatment decisions and increase the risk of adverse outcomes (\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e, \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eThe assessment and management of geriatric trauma in the ED require a multidisciplinary approach involving emergency physicians, nurses, surgeons, social workers, and rehabilitation specialists (\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e). The initial evaluation should focus on identifying life-threatening injuries while considering potential age-related complications such as delayed healing or impaired immune response (\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e). Diagnostic imaging plays a crucial role in evaluating geriatric trauma patients (\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e, \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eTherefore, understanding the etiology or causes of geriatric trauma is crucial in developing effective preventive strategies. This study aims to explore the etiologic investigation of geriatric trauma and highlight the importance of prevention in this vulnerable population.\u003c/p\u003e"},{"header":"2. Material \u0026 Method","content":"\n\u003ch3\u003e2 − 1: Study design.\u003c/h3\u003e\n\u003cp\u003eThis is a cross-sectional study aimed at evaluating the etiology of trauma in geriatric patients referred to the ED of level-1 an academic center. The study was conducted on trauma patients admitted to the ED of Shahid-Hasheminejad Hospital during 2021.\u003c/p\u003e\n\u003ch3\u003e2–2: Participants.\u003c/h3\u003e\n\u003cp\u003eAll patients with complaints of trauma are evaluated, patients over 65-years enrolled in the study and evaluated in terms of age and sex, severity of trauma, underlying diseases, type of trauma, and finally the outcome of the patients including discharge from the ED, hospitalization in the ward or the intensive care unit (ICU) and deceased, recorded from patients file. For all patients, the checklist containing the mentioned items is filled using the registered electronic file of the patients. Patients whose file records were incomplete or who were discharged with informed consent with incomplete data were excluded from the study. This study was performed with a simple sampling method for 1 year.\u003c/p\u003e\n\u003ch3\u003e2–3: Statistical Analysis.\u003c/h3\u003e\n\u003cp\u003eDescriptive and inferential statistics in SPSS software version 26 were performed for data analysis. Charts and statistical tables were used to describe the data; in the case of type and severity of trauma descriptive statistics such as mean, median, and standard deviation were used.\u003c/p\u003e \u003cp\u003eThe severity of trauma was measured using the Injury Severity Scale (AIS). To check the severity of injury in different parts of the body, the AIS criterion is used, which is graded in Table-1. Student's t-test or Wilcoxon test was used to compare the severity of trauma.\u003c/p\u003e \u003cp\u003eThe cause of trauma, underlying diseases, type of trauma, etc. were reported using descriptive statistics such as frequency and percentage; Chi-square tests were used to compare and describe the severity of injuries and injuries.\u003c/p\u003e\n\u003ch3\u003e2–4: Ethical consideration.\u003c/h3\u003e\n\u003cp\u003eThe patient\u0026rsquo;s data was coded and entered with the name removed to remain confidential. All steps of this study followed the ethical principles of Helsinki and were approved by the Ethics Committee of Mashhad University of Medical Sciences.\u003c/p\u003e"},{"header":"3. Result","content":"\u003cp\u003eIn general, during the 1-year of the study, 319 people were eligible for the study, of which 49.8% were men and the rest were women. The average age of the patients was 75.18\u0026thinsp;\u0026plusmn;\u0026thinsp;18.39. Table\u0026nbsp;1 shows the distribution of demographic variables, variables related to vital signs, and history of underlying diseases in all patients by gender.\u003c/p\u003e \u003cp\u003eBased on this data, the most common underlying diseases were high blood pressure, type 2 diabetes, and ischemic heart disease, respectively. The prevalence of all three mentioned diseases in women is significantly higher than in male patients, so the prevalence of high blood pressure and ischemic heart disease in female referring patients was 53.10% and 21.9%, respectively, while the frequency of these in male patients was 35.80% and 13.21% respectively (Table-2).\u003c/p\u003e \u003cp\u003eThe frequency of trauma caused in men and women is somewhat different (Table-2). The main and most common causes of trauma in the male patients were falling on the same level (35.80%), car accidents, fall from a height, and motorcycle accidents, respectively. the most common cause of trauma in females was falling on the same level (61.90%), but falling from a height was second (15%) and the other causes were car accident (8.10%) and motorcycle (5.60%) (Table-3).\u003c/p\u003e \u003cp\u003e92.8% (296 people) of these patients were admitted to the hospital ward. Ten patients (1.03%) were discharged in good general condition, 5 patients were admitted to the ICU, and death occurred in only 2.5% of patients.\u003c/p\u003e \u003cp\u003eAs shown in Figure-1, the prevalence of discharge outcomes and admission to the ward in male and female patients were similar. However, it seems that the outcome of death and hospitalization in the intensive care unit (ICU) was higher in males than in females.\u003c/p\u003e \u003cp\u003eThe distribution of injury severity in different parts is based on the AIS scale were shown in Table-4.\u003c/p\u003e \u003cp\u003eThe Chi-square showed that the frequency of severe trauma (AIS score 3 and greater than 3) of the head, spine, abdomen, and pelvis was similar in males and females and there was no significant difference (Table\u0026nbsp;5). The frequency of severe trauma to the chest and upper and lower extremities was different in men and women and this difference was statistically significant. Severe trauma of the upper and lower extremities was more common in women compared to men. However, cases of severe chest trauma were more common in men than in women (P-Value\u0026thinsp;=\u0026thinsp;0.008).\u003c/p\u003e"},{"header":"4. Discussion","content":"\u003cp\u003eAccording to the information obtained from 319 trauma patients over 65-years, the most common cause of trauma in people over 65 years of age is fall on the same level (48.9% of all cases). The results of other studies show that in most medical centers, falls are the main cause of trauma in elderly people, according to the frequency of the causes of trauma, it is appropriate to take consideration to reduce this occurrence in each area (\u003cspan class=\"CitationRef\"\u003e11\u003c/span\u003e, \u003cspan class=\"CitationRef\"\u003e12\u003c/span\u003e). Paying attention to the underlying diseases, drugs and neurological disorders related to aging in these patients can prevent the occurrence of trauma in this age group to some extent (\u003cspan class=\"CitationRef\"\u003e13\u003c/span\u003e). Also, dangerous surrounding areas that may cause them to fall, such as stairs with non-standard design, the presence of obstacles in the path, etc., should be according to the standard conditions of their age (\u003cspan class=\"CitationRef\"\u003e14\u003c/span\u003e).\u003c/p\u003e\n\u003cp\u003eAccidents with automobiles (16%) and motorcycles (9%) are other important causes of trauma in the elderly, especially in men. Increasing age is generally effective in reducing the ability and accuracy of a person\u0026apos;s driving. Vision, hearing, the ability to react to the stimulus, and overall mental cognitive function that is necessary for driving accurately and correctly, may undergo changes and weaknesses with the aging process and cause road accidents. Considering that in our country, men drive more than women, and in general, women spend more time at home than men, the frequency of accidents in elderly men has been higher than in women.\u003c/p\u003e\n\u003cp\u003eInterpersonal assault injury is one of the other factors that lead to trauma at different ages. In the present study, only 2.5% of the cases were traumatized due to interpersonal assault; which was more in women.\u003c/p\u003e\n\u003cp\u003eGioffre-Florio and his colleagues in Rome, investigated the prevalence, related risk factors, the injured organs, and the difference in prevalence between men and women in patients with trauma. In this study, 4554 patients over 65 years of age (61% women and 39% men) were examined and divided into three age groups, 65 to 75 years, 75 to 85 years, and over 85 years. The most age group involved were people between 75 and 85 years old; in this study, women are more affected in 75\u0026ndash;85 years and men in 65\u0026ndash;75 years (\u003cspan class=\"CitationRef\"\u003e15\u003c/span\u003e).\u003c/p\u003e\n\u003cp\u003eThe most common type of trauma was head injury and fracture of the upper and lower limb, respectively. They found an increase in the prevalence of head injuries in the age group over 85 years old (42% of all injuries in this age group). The most common related underlying diseases in this study were hypertension and ischemic heart disease respectively (diabetes in this study was much less prevalent than in our study) (\u003cspan class=\"CitationRef\"\u003e15\u003c/span\u003e). Compared to our study, M. GIOFFR\u0026Egrave;-FLORIO\u0026apos;s study divided the patients by their age group into three separate groups, and the prevalence of underlying diseases, frequency of affected areas, and different injuries in all 3 groups were separately checked and compared at the end. In this study, the frequency of injuries to lower and upper limbs was mentioned along with the type of injury (\u003cspan class=\"CitationRef\"\u003e15\u003c/span\u003e).\u003c/p\u003e\n\u003cp\u003eRicardo Naraynsingh and his colleagues conducted a study on trauma patients aged 18 years and above; 1052 patients were examined, of which 941 were aged between 18 and 65, and 111 people were over 65 years old. This study aimed to compare the cause and type of injuries caused by trauma in young and elderly. In this study, the most common cause of trauma in the elderly was falling (71%), among which (94%) fall from the same level and (6%) fall from height. Also, following a fall in the elderly and trauma to the lower limb (35%), head and neck (26%), and upper limb (19%) were common. About 14% of elderly patients have suffered more than one injury after a fall (\u003cspan class=\"CitationRef\"\u003e11\u003c/span\u003e).\u003c/p\u003e\n\u003cp\u003eIn this study, as in our study, extremities were the most common (upper and lower limbs), which included about 50% of the cases, followed by head injuries, which were seen in about 30% of the cases (\u003cspan class=\"CitationRef\"\u003e11\u003c/span\u003e). In this study, as in our study, the AIS was used to check the severity of organ damage, but unlike our study, lower limb injuries in this study had the most cases of severe to critical damage (in 31% of cases, they had AIS\u0026thinsp;\u0026gt;\u0026thinsp;2), then head injuries, the most cases were severe to critical injuries (in 19% of cases, AIS\u0026thinsp;\u0026gt;\u0026thinsp;2) (\u003cspan class=\"CitationRef\"\u003e11\u003c/span\u003e). Compared to our study, Ricardo Naraynsingh\u0026apos;s study investigated more closely the injuries that occurred following falls in the elderly. Also, in this study, young and old people were compared in terms of various things such as the cause of trauma and injuries, whereas, we just evaluated the geriatric patient.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eAccording to the results of our research, the main cause of trauma in elderly people is falls from the same level and then motor-vehicle car accidents. Also, HTN and diabetes were the most common underlying and related diseases in the occurrence of trauma in the elderly under our investigation. Extremity injury (upper and lower limbs) and then head and neck are the most common injuries in elderly trauma patients. Head and neck injuries are life-threatening and critical in a larger number of patients than other injuries, and protecting them can be effective in reducing mortality and serious injuries in elderly trauma patients.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e \u003ch2\u003eCompeting interest:\u003c/h2\u003e \u003cp\u003eNone\u003c/p\u003e \u003c/p\u003e\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003e1) Conceived and designed the experiments by Dr.Vafadar Moradi who is the master guide of this research2) Performed the experiments by Dr.Ghashghaee.3) Analyzed and interpreted the data by Dr. Sadeghii4) Contributed reagents, materials, analysis tools, or data by Dr. Pishbin Dr.Zakeri, Dr. Rezvani Kakhki, and Dr. Sadrzadeh. 5) Wrote the paper by Dr.Vafadar Moradi and Dr. Pishbin.\u003c/p\u003e\u003ch2\u003eAcknowledgment\u003c/h2\u003e \u003cp\u003eThis research was supervised by Dr. Vafadar moradi on Dr. Ghashghaee to graduate as a medical doctor. ll the researchers in this study were very grateful to all the elderly who patiently cooperated with us.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eChu I, Vaca F, Stratton S, Chakravarthy B, Hoonpongsimanont W, Lotfipour S. Geriatric trauma care: challenges facing emergency medical services. Cal J Emerg Med. 2007 May;8(2):51-5. PMID: 20440401; PMCID: PMC2860422.\u003c/li\u003e\n\u003cli\u003eJiang, L., Zheng, Z. \u0026amp; Zhang, M. The incidence of geriatric trauma is increasing and comparison of different scoring tools for the prediction of in-hospital mortality in geriatric trauma patients. \u003cem\u003eWorld J Emerg Surg\u003c/em\u003e \u003cstrong\u003e15\u003c/strong\u003e, 59 (2020). https://doi.org/10.1186/s13017-020-00340-1\u003c/li\u003e\n\u003cli\u003eBenoit E, Stephen AH, Monaghan SF, Lueckel SN, Adams CA Jr. Geriatric Trauma. Rhode Island Med J. 2019;102(8):19\u0026ndash;22.\u003c/li\u003e\n\u003cli\u003eBarea-Mendoza JA, Chico-Fernandez M, Sanchez-Casado M, Molina-Diaz I, Quintana-Diaz M, Jimenez-Moragas JM, Perez-Barcena J, Llompart-Pou JA, en representacion del Grupo de Trabajo de Neurointensivismo y Trauma de la Sociedad Espanola de Medicina Intensiva CyUC. Predicting survival in geriatric trauma patients: a comparison between the TRISS methodology and the Geriatric Trauma Outcome Score. Cirugia Espanola. 2018;96(6):357\u0026ndash;62.\u003c/li\u003e\n\u003cli\u003eMoran CG, Lecky F, Bouamra O, Lawrence T, Edwards A, Woodford M, Willett K, Coats TJ. Changing the System - Major Trauma Patients and Their Outcomes in the NHS (England) 2008-17. EClinicalMedicine. 2018 Aug 5;2-3:13-21. doi: 10.1016/j.eclinm.2018.07.001. PMID: 31193723; PMCID: PMC6537569.\u003c/li\u003e\n\u003cli\u003eGabbe BJ, Simpson PM, Sutherland AM, Wolfe R, Fitzgerald MC, Judson R, Cameron PA. Improved functional outcomes for major trauma patients in a regionalized, inclusive trauma system. Ann Surg. 2012 Jun;255(6):1009-15. doi: 10.1097/SLA.0b013e31824c4b91. PMID: 22584628.\u003c/li\u003e\n\u003cli\u003eKang, B.H., Jung, K., Kim, S. \u003cem\u003eet al.\u003c/em\u003e Accuracy and influencing factors of the Field Triage Decision Scheme for adult trauma patients at a level-1 trauma center in Korea. \u003cem\u003eBMC Emerg Med\u003c/em\u003e \u003cstrong\u003e22\u003c/strong\u003e, 101 (2022). https://doi.org/10.1186/s12873-022-00637-1\u003c/li\u003e\n\u003cli\u003eAbrahams, J.M., Sagar, C. \u0026amp; Rickman, M. The burden of cycling-related trauma to the orthopaedic and trauma department of a level 1 trauma hospital in Adelaide, South Australia. \u003cem\u003eJ Orthop Surg Res\u003c/em\u003e \u003cstrong\u003e16\u003c/strong\u003e, 127 (2021). https://doi.org/10.1186/s13018-021-02242-\u003c/li\u003e\n\u003cli\u003eBonne S, Schuerer DJ. Trauma in the older adult: epidemiology and evolving geriatric trauma principles. Clin Geriatr Med. 2013 Feb;29(1):137-50. doi: 10.1016/j.cger.2012.10.008. PMID: 23177604.Shafi S, Nathens AB, Cryer HG, Hemmila MR, Pasquale MD, Clark DE, Neal M, Goble S, Meredith JW, Fildes JJ. The Trauma Quality Improvement Program of the American College of Surgeons Committee on Trauma. J Am Coll Surg. 2009 Oct;209(4):521-530.e1. doi: 10.1016/j.jamcollsurg.2009.07.001. Epub 2009 Aug 13. PMID: 19801325.\u003c/li\u003e\n\u003cli\u003eLlompart-Pou, J.A., P\u0026eacute;rez-B\u0026aacute;rcena, J., Barea-Mendoza, J.A. \u003cem\u003eet al.\u003c/em\u003e Trauma risk adjustment in geriatric trauma. \u003cem\u003eEur J Trauma Emerg Surg\u003c/em\u003e \u003cstrong\u003e46\u003c/strong\u003e, 1471\u0026ndash;1472 (2020). https://doi.org/10.1007/s00068-020-01301-8\u003c/li\u003e\n\u003cli\u003eNaraynsingh R, Sammy I, Paul JF, Nunes P. Trauma in the elderly in Trinidad and Tobago: a cross-sectional study. Eur J Emerg Med. 2015 Jun;22(3):219-21. doi: 10.1097/MEJ.0000000000000196. PMID: 25099529.\u003c/li\u003e\n\u003cli\u003eHendrickson, S.A., Osei-Kuffour, D., Aylwin, C. \u003cem\u003eet al.\u003c/em\u003e \u0026lsquo;Silver\u0026rsquo; trauma: predicting mortality in elderly major trauma based on place of injury. \u003cem\u003eScand J Trauma Resusc Emerg Med\u003c/em\u003e \u003cstrong\u003e23\u003c/strong\u003e (Suppl 2), A4 (2015). https://doi.org/10.1186/1757-7241-23-S2-A4\u003c/li\u003e\n\u003cli\u003eBozzette A, Aeron-Thomas A. Reducing trauma deaths in the UK. Lancet. 2013 Jul 20;382(9888):208. doi: 10.1016/S0140-6736(13)61597-4. PMID: 23870529.\u003c/li\u003e\n\u003cli\u003eVaishya R, Vaish A. Falls in Older Adults are Serious. Indian J Orthop. 2020 Jan 24;54(1):69-74. doi: 10.1007/s43465-019-00037-x. PMID: 32257019; PMCID: PMC7093636.\u003c/li\u003e\n\u003cli\u003eGioffr\u0026egrave;-Florio M, Murabito LM, Visalli C, Pergolizzi FP, Fam\u0026agrave; F. Trauma in elderly patients: a study of prevalence, comorbidities and gender differences. G Chir. 2018 Jan-Feb;39(1):35-40. doi: 10.11138/gchir/2018.39.1.035. PMID: 29549679; PMCID: PMC5902142.\u003c/li\u003e\n\u003c/ol\u003e"},{"header":"Tables","content":"\u003cdiv class=\"gridtable\"\u003e\n \u003cp\u003eTable-1. Injury Severity score\u003c/p\u003e\n \u003ctable id=\"Taba\" border=\"1\"\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eScore\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eSeverity\u003c/div\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eMinor\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eModerate\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e2\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eSerious\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e3\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eSevere\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e4\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eCritical\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e5\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eMaximum\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n \u003cp\u003eTable-2. Distribution of demographic variables and history of underlying diseases\u003c/p\u003e\n \u003cp\u003e\u003cimg 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\" alt=\"\" width=\"701\" height=\"500\"\u003e\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv class=\"gridtable\"\u003e\n \u003cp\u003e\u003cem\u003eSBP: Systolic Blood Pressure; DBP: Diastolic Blood Pressure; HR: Heart Rate; RR: Respiratory Rate; GCS: Glasgow Coma Scale; IHD: Ischemic Heart Disease; DM: Diabetic Mellitus; HTN: Hypertension; CVA: Cerebra Vascular Accident; HLP: Hyperlipidemia; CRF: Chronic Renal Failure; COPD: Chronic Obstructive pulmonary Disease; CHF: Chronic Heart Failure\u003c/em\u003e\u003c/p\u003e\n\u003c/div\u003e\n\u003cp\u003eTable-2. Trauma type and mechanism\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\" height=\"290\" width=\"702\"\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;Table-4. Distribution of injury severity based on the AIS scale\u003c/p\u003e\n\u003cdiv class=\"gridtable\"\u003e\n \u003cp\u003e\u003cimg 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\" width=\"709\" height=\"219\"\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003eTable-5. The frequency of severity of injury based on AIS scale in male and female\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv class=\"gridtable\"\u003e\n \u003ctable id=\"Tabe\" border=\"1\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eSite of Injury\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eAIS\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003emen\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eFemale\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eP value\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eN\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e%\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eN\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e%\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u003cspan class=\"Bold\"\u003eHead\u003c/span\u003e\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;3\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e140\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e48.40\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e149\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e51.6\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.12\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026ge;\u0026thinsp;3\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e19\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e19.00\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e11\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e36.70\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u003cspan class=\"Bold\"\u003eSpine\u003c/span\u003e\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;3\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e00.00\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e00.00\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e-\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026ge;\u0026thinsp;3\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv 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falling","lastPublishedDoi":"10.21203/rs.3.rs-3826130/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-3826130/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eGeriatric trauma refers to injuries sustained by elderly individuals, typically those aged 65 years and older. The management of geriatric trauma in the Emergency Department requires a comprehensive approach that takes into account the physiological changes associated with aging, as well as the increased vulnerability and complexity of injuries in this population. This is a cross-sectional study aimed at evaluating the etiology of trauma in geriatric patients referred to the ED of level-1 an academic center. All patients with complaints of trauma are evaluated, patients over 65-years enrolled in the study. 319 patients were investigated, 49/8% male and 50/2%female.The most common underlying diseases are high blood pressure, diabetes type 2 and ischemic heart diseases. The most common trauma cause was falling from a same level (48/9%), followed by a fall from a height (16/6%), accident with cars (16%) and motorcycles (9/1%). The most common injury was extremities trauma (71/5%) following head trauma (13/2%) and chest trauma (6%). The severity of injury in extremity was more in women, and chest trauma was more sever in men.\u003c/p\u003e \u003cp\u003eAccording to our results, the fall and subsequent car accident had the highest frequency as a cause of trauma in elderly patients admitted to our academic trauma center. Hypertension and diabetes have also been the most common underlying diseases. Head and neck injuries are life-threatening and critical in a larger number of patients than other injuries, and protecting them can be effective in reducing mortality and serious injuries in elderly trauma patients.\u003c/p\u003e","manuscriptTitle":"The etiology of trauma in geriatric traumatic patients refer to an academic trauma center: a cross sectional study","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-01-08 17:17:51","doi":"10.21203/rs.3.rs-3826130/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"82d90869-f07b-47be-b6ee-2a34d12b2797","owner":[],"postedDate":"January 8th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2024-01-09T17:30:41+00:00","versionOfRecord":[],"versionCreatedAt":"2024-01-08 17:17:51","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-3826130","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-3826130","identity":"rs-3826130","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}