Patterns and outcomes of patients with abdominal injury: a multicenter study from Iran.

BACKGROUND: Injury is one of the leading causes of death worldwide, and the abdomen is the most common area of trauma after the head and extremities. Abdominal injury is often divided into two categories: blunt and penetrating injuries. This study aims to determine the epidemiological and clinical characteristics of these two types of abdominal injuries in patients registered with the National Trauma Registry of Iran (NTRI). METHODS: This multicenter cross-sectional study was conducted with data from the NTRI from July 24, 2016, to May 21, 2023. All abdominal trauma patients defined by the International Classification of Diseases; 10th Revision (ICD-10) codes were enrolled in this study. The inclusion criteria were one of the following: hospital length of stay (LOS) of more than 24 h, fatal injuries, and trauma patients transferred from the ICU of other hospitals. RESULTS: Among 532 patients with abdominal injuries, 420 (78.9%) had a blunt injury, and 435 (81.7%) of the victims were men. The most injured organs in blunt trauma were the spleen, with 200 (47.6%) and the liver, with 171 (40.7%) cases, respectively. Also, the colon and small intestine, with 42 (37.5%) cases, had the highest number of injuries in penetrating injuries. Blood was transfused in 103 (23.5%) of blunt injured victims and 17 (15.2%) of penetrating traumas (p = 0.03). ICU admission was significantly varied between the two groups, with 266 (63.6%) patients in the blunt group and 47 (42%) in penetrating (p < 0.001). Negative laparotomies were 21 (28%) in penetrating trauma and only 11 (7.7%) in blunt group (p < 0.001). In the multiple logistic regression model after adjusting, ISS ≥ 16 increased the chance of ICU admission 3.13 times relative to the ISS 1-8 [OR: 3.13, 95% CI (1.56 to 6.28), P = 0.001]. Another predictor was NOM, which increased ICU chance 1.75 times more than OM [OR: 1.75, 95% CI (1.17 to 2.61), p = 0.006]. Additionally, GCS 3-8 had 5.43 times more ICU admission odds than the GCS 13-15 [OR:5.43, 95%CI (1.81 to 16.25), P = 0.002] respectively. CONCLUSION: This study found that the liver and spleen are mostly damaged in blunt injuries. Also, in most cases of penetrating injuries, the colon and small intestine had the highest frequency of injuries compared to other organs. Blunt abdominal injuries caused more blood transfusions and ICU admissions. Higher ISS, lower GCS, and NOM were predictors of ICU admission in abdominal injury victims.

Comparison of nine trauma scoring systems in prediction of inhospital outcomes of pediatric trauma patients: a multicenter study.

Hereby, we aimed to comprehensively compare different scoring systems for pediatric trauma and their ability to predict in-hospital mortality and intensive care unit (ICU) admission. The current registry-based multicenter study encompassed a comprehensive dataset of 6709 pediatric trauma patients aged ≤ 18 years from July 2016 to September 2023. To ascertain the predictive efficacy of the scoring systems, the area under the receiver operating characteristic curve (AUC) was calculated. A total of 720 individuals (10.7%) required admission to the ICU. The mortality rate was 1.1% (n = 72). The most predictive scoring system for in-hospital mortality was the adjusted trauma and injury severity score (aTRISS) (AUC = 0.982), followed by trauma and injury severity score (TRISS) (AUC = 0.980), new trauma and injury severity score (NTRISS) (AUC = 0.972), Glasgow coma scale (GCS) (AUC = 0.9546), revised trauma score (RTS) (AUC = 0.944), pre-hospital index (PHI) (AUC = 0.936), injury severity score (ISS) (AUC = 0.901), new injury severity score (NISS) (AUC = 0.900), and abbreviated injury scale (AIS) (AUC = 0.734). Given the predictive performance of the scoring systems for ICU admission, NTRISS had the highest predictive performance (AUC = 0.837), followed by aTRISS (AUC = 0.836), TRISS (AUC = 0.823), ISS (AUC = 0.807), NISS (AUC = 0.805), GCS (AUC = 0.735), RTS (AUC = 0.698), PHI (AUC = 0.662), and AIS (AUC = 0.651). In the present study, we concluded the superiority of the TRISS and its two derived counterparts, aTRISS and NTRISS, compared to other scoring systems, to efficiently discerning individuals who possess a heightened susceptibility to unfavorable consequences. The significance of these findings underscores the necessity of incorporating these metrics into the realm of clinical practice.

Quality of in-hospital care in traumatic spinal column and cord injuries (TSC/SCI) in I.R Iran.

PURPOSE: This study aimed to implement the Quality of Care (QoC) Assessment Tool from the National Spinal Cord/Column Injury Registry of Iran (NSCIR-IR) to map the current state of in-hospital QoC of individuals with Traumatic Spinal Column and Cord Injuries (TSCCI). METHODS: The QoC Assessment Tool, developed from a scoping review of the literature, was implemented in NSCIR-IR. We collected the required data from two primary sources. Questions regarding health system structures and care processes were completed by the registrar nurse reviewing the hospital records. Questions regarding patient outcomes were gathered through patient interviews. RESULTS: We registered 2812 patients with TSCCI over six years from eight referral hospitals in NSCIR-IR. The median length of stay in the general hospital and intensive care unit was four and five days, respectively. During hospitalization 4.2% of patients developed pressure ulcers, 83.5% of patients reported satisfactory pain control and none had symptomatic urinary tract infections. 100%, 80%, and 90% of SCI registration centers had 24/7 access to CT scans, MRI scans, and operating rooms, respectively. Only 18.8% of patients who needed surgery underwent a surgical operation in the first 24 h after admission. In-hospital mortality rate for patients with SCI was 19.3%. CONCLUSION: Our study showed that the current in-hospital care of our patients with TSCCI is acceptable in terms of pain control, structure and length of stay and poor regarding in-hospital mortality rate and timeliness. We must continue to work on lowering rates of pressure sores, as well as delays in decompression surgery and fatalities.

Comparison of the accuracy of inpatient morbidity coding with ICD-11 and ICD-10.

BACKGROUND: One of the challenges when transitioning from International Statistical Classification of Diseases and Related Health Problems, 10th Revision (ICD-10) to International Classification of Diseases, 11th Revision (ICD-11) is to ensure clinical coding accuracy. OBJECTIVE: To determine the accuracy of clinical coding with ICD-11 in comparison with ICD-10 and identify causes of coding errors in real clinical coding environments. METHOD: The study was conducted prospectively in two general hospitals. Medical records of discharged inpatients were coded by hospital clinical coders with both ICD-11 and ICD-10 on different days. These medical records were recoded by five mentors. Codes assigned by mentors were used as the gold standard for the evaluation of accuracy. RESULTS: The accuracy of ICD-10 and ICD-11 coding for 1578 and 2168 codes was evaluated. Coding accuracy was 89.1% and 74.2% for ICD-10 and ICD-11. In ICD-11, the lowest accuracy was observed in chapters 22 (injuries), 10 (ear) and 11 (circulatory) (51.1%, 53.8% and 62.7%, respectively). In both ICD-10 and ICD-11, the most important cause of the coding errors was clinical coders' mistakes (79.5% and 81.8% for ICD-10 and ICD-11, respectively). CONCLUSION: Accuracy of clinical coding with ICD-11 was lower relative to ICD-10. Hence, it is essential to carry out initial preparations, particularly the training of clinical coders based on their needs, as well as the necessary interventions to enhance the documentation of medical records according to ICD-11 before or simultaneous with the country-wide implementation. IMPLICATIONS: Clinical coders need complete training, especially in using extension codes and post-coordination coding. Local ICD-11 guidelines based on the needs of local users and reporting policies should be developed. Furthermore, documentation guidelines based on ICD-11 requirements should be developed.

Surgical bleeding in patients undergoing posterior lumbar inter-body fusion surgery: a randomized clinical trial evaluating the effect of two mechanical ventilation mode types.

BACKGROUND: The purpose of the study was to compare the effect of using volume-controlled ventilation (VCV) versus pressure-controlled ventilation (PCV) on blood loss in patients undergoing posterior lumbar inter-body fusion (PLIF) surgery. METHODS: In a randomized, single-blinded, parallel design, 78 patients, candidates for PLIF surgery, were randomly allocated into two groups of 39 to be mechanically ventilated using VCV or PCV mode. All the patients were operated in prone position by one surgeon. Amount of intraoperative surgical bleeding, transfusion requirement, surgeon satisfaction, hemodynamic parameters, heart rate, and blood pressure were measured as outcomes. RESULTS: PCV group showed slightly better outcomes than VCV group in terms of mean blood loss (431 cc vs. 465 cc), transfusion requirement (0.40 vs. 0.43 unit), and surgeon satisfaction (82.1% vs. 74.4%); however, the differences were not statistically significant. Diastolic blood pressure 90 and 105 min after induction were significantly lower in PCV group (P = 0.043-0.019, respectively); however, blood pressure at other times, hemoglobin levels, and mean heart rate were similar in two groups. CONCLUSIONS: In patients undergoing posterior lumbar inter-body fusion surgery, mode of ventilation cannot make significant difference in terms of blood loss; however, some minor benefits in outcomes may lead to the selection of PCV rather than VCV. More studies with larger sample size, and investigating more factors may be needed.

Prediction of In-Hospital Outcomes in Patients with Traumatic Brain Injury Using Computed Tomographic Scoring Systems: A Comparison Between Marshall, Rotterdam, and Neuroimaging Radiological Interpretation Systems.

OBJECTIVE: This study aimed to compare the prognostic value of Marshall, Rotterdam, and Neuroimaging Radiological Interpretation Systems (NIRIS) in predicting the in-hospital outcomes of patients with traumatic brain injury. METHODS: We identified 250 patients with traumatic brain injury in a retrospective single-center cohort from 2019 to 2020. Computed tomography (CT) scans were reviewed by two radiologists and scored according to three CT scoring systems. One-month outcomes were evaluated, including hospitalization, intensive care unit admission, neurosurgical procedure, and mortality. Logistic regression analysis was performed to identify scoring systems and outcome relationships. The best cutoff value was calculated using the receiver operating characteristic curve model. RESULTS: Eighteen patients (7.2%) died in the 1-month follow-up. The mean age and Glasgow Coma Scale of survivors differed significantly from nonsurvivors. Subarachnoid hemorrhage and compressed/absent cisterns were dead patients' most frequent CT findings. All three scoring systems had good discrimination power in mortality prediction (area under the receiver operating characteristic curve of the Marshall, Rotterdam, and NIRIS was 0.78, 0.86, and 0.84, respectively). Regarding outcome, three systems directly correlated with unfavorable outcome prediction. CONCLUSIONS: The Marshall, Rotterdam, and NIRIS are good predictive models for mortality and outcome prediction, with slight superiority of the Rotterdam in mortality prediction and the Marshall in intensive care unit admission and neurosurgical procedures.

Development of clinical-guideline-based mobile application and its effect on head CT scan utilization in neurology and neurosurgery departments.

BACKGROUND: There is little evidence regarding the adoption and intention of using mobile apps by health care professionals (HCP) and the effectiveness of using mobile apps among physicians is still unclear. To address this challenge, the current study seeks two objectives: developing and implementing a head CT scan appropriateness criteria mobile app (HAC app), and investigating the effect of HAC app on CT scan order. METHODS: A one arm intervention quasi experimental study with before/after analysis was conducted in neurology & neurosurgery (N&N) departments at the academic hospital. We recruited all residents' encounters to N&N departments with head CT scan to examine the effect of HAC app on residents' CT scan utilization. The main outcome measure was CT scan order per patient for seven months at three points, before the intervention, during the intervention, after cessation of the intervention -post-intervention follow-up. Data for CT scan utilization were collected by reviewing medical records and then analyzed using descriptive statistics, Kruskal-Wallis, and Mann-Whitney tests. A focus group discussion with residents was performed to review and digest residents' experiences during interaction with the HAC app. RESULTS: Sixteen residents participated in this study; a total of 415 N&N encounters with CT scan order, pre-intervention 127 (30.6%), intervention phase 187 (45.1%), and 101 (24.3%) in the post-intervention follow-up phase were included in this study. Although total CT scan utilization was statistically significant during three-time points of the study (P = 0.027), no significant differences were found for CT utilization after cessation of the intervention (P = 1). CONCLUSION: The effect of mobile devices on residents' CT scan ordering behavior remains open to debate since the changes were not long-lasting. Further studies based on real interactive experiences with mobile devices is advisable before it can be recommended for widespread use by HCP.

Identification of data elements for blood gas analysis dataset: a base for developing registries and artificial intelligence-based systems.

BACKGROUND: One of the challenging decision-making tasks in healthcare centers is the interpretation of blood gas tests. One of the most effective assisting approaches for the interpretation of blood gas analysis (BGA) can be artificial intelligence (AI)-based decision support systems. A primary step to develop intelligent systems is to determine information requirements and automated data input for the secondary analyses. Datasets can help the automated data input from dispersed information systems. Therefore, the current study aimed to identify the data elements required for supporting BGA as a dataset. MATERIALS AND METHODS: This cross-sectional descriptive study was conducted in Nemazee Hospital, Shiraz, Iran. A combination of literature review, experts' consensus, and the Delphi technique was used to develop the dataset. A review of the literature was performed on electronic databases to find the dataset for BGA. An expert panel was formed to discuss on, add, or remove the data elements extracted through searching the literature. Delphi technique was used to reach consensus and validate the draft dataset. RESULTS: The data elements of the BGA dataset were categorized into ten categories, namely personal information, admission details, present illnesses, past medical history, social status, physical examination, paraclinical investigation, blood gas parameter, sequential organ failure assessment (SOFA) score, and sampling technique errors. Overall, 313 data elements, including 172 mandatory and 141 optional data elements were confirmed by the experts for being included in the dataset. CONCLUSIONS: We proposed a dataset as a base for registries and AI-based systems to assist BGA. It helps the storage of accurate and comprehensive data, as well as integrating them with other information systems. As a result, high-quality care is provided and clinical decision-making is improved.

Epidemiology pattern of traumatic injuries of adults older than 15 years in Kashan, Iran: A population-based study in 2018-2019.

Background: Trauma is the first leading cause of death and disability in the active population in developing countries. In Iran, traumatic injuries are the second leading cause of death after cardiovascular disease and also the leading cause of years of life lost (YLL). Population-based surveys can estimate all types of injuries. This study aimed to estimate the annual incidence of nonfatal injuries in adults older than 15 years in Kashan. Methods: In a cross-sectional population-based study, people older than 15 years who were living in Kashan during 2018-2019 were studied. A cluster stratified sampling method was used. Data analysis was performed using SPSS 22 software. Chi-square and t tests and ANOVA were used to analyze the data. Significance level was set as P ≤.05 and confidence interval (CI) at 95%. Results: In this study, which included 3880 households residing in Kashan during 2018-2019, the incidence of all injuries was estimated to be 70.61(62.60-78.70) per 1000 people in 1 year. For traffic accidents, the incidence was estimated at 36.08 (30.20-42.00) per 1000 in 1 year. Also, 231 (77.7%) of people with trauma were male, 137 (50.0%) aged 20 to 39 years, and 191 (69.7) were married. The most common cause of injuries (n = 140; 51.1%) was related to traffic accidents, and among the traffic accidents, the highest cause was motorcycle accident (n = 99; 70.71%). Conclusion: The results of this study showed that the highest rate of injuries occurred among men, younger ages, married, and those with primary education. Also, the results showed the most common causes of trauma were injured hand and foot and head, and the most common location in which trauma occurred was street. The findings of this study are important to better explain the epidemiology aspects of injuries in Kashan.

Evaluating mechanism and severity of injuries among trauma patients admitted to Sina Hospital, the National Trauma Registry of Iran.

PURPOSE: Injuries are one of the leading causes of death and lead to a high social and financial burden. Injury patterns can vary significantly among different age groups and body regions. This study aimed to evaluate the relationship between mechanism of injury, patient comorbidities and severity of injuries. METHODS: The study included trauma patients from July 2016 to June 2018, who were admitted to Sina Hospital, Tehran, Iran. The inclusion criteria were all injured patients who had at least one of the following: hospital length of stay more than 24 h, death in hospital, and transfer from the intensive care unit of another hospital. Data collection was performed using the National Trauma Registry of Iran minimum dataset. RESULTS: The most common injury mechanism was road traffic injuries (49.0%), followed by falls (25.5%). The mean age of those who fell was significantly higher in comparison with other mechanisms (p < 0.001). Severe extremity injuries occurred more often in the fall group than in the vehicle collision group (69.0% vs. 43.5%, p < 0.001). Moreover, cases of severe multiple trauma were higher amongst vehicle collisions than injuries caused by falls (27.8% vs. 12.9%, p = 0.003). CONCLUSION: Comparing falls with motor vehicle collisions, patients who fell were older and sustained more extremity injuries. Patients injured by motor vehicle collision were more likely to have sustained multiple trauma than those presenting with falls. Recognition of the relationship between mechanisms and consequences of injuries may lead to more effective interventions.

Disability and post-trauma stress in the population over 15 years old in Kashan, Iran: A population-based study.

PURPOSE: One of the consequences of trauma-related injuries is disability. There are more than one billion people with disabilities worldwide. Disability in people reduces their quality of life. The goal of this study was to determine the rate of post-trauma stress and disability related to trauma in the population over 15 years old in Kashan during a solar year of 2018-2019. METHODS: This is a cross-sectional population-based study. A cluster sampling method was used in the city of Kashan, and 3880 persons were interviewed with individuals randomly selected in each household. If a person had trauma during one year ago, the World Health Organization Disability Assessment Schedule 2.0 and Post Trauma Stress Disorder (PTSD) Checklist were applied for further interview. Data were analyzed using Chi-square test or t-test. RESULTS: Among the 3880 participants residing in Kashan, 274 (7.1%) reported a history of traumatic injury during one year ago in 2018-2019. Incidence of all injuries was estimated to be 70.61 (62.60-78.70) per 1000 people. For the trauma population, 213 (77.7%) were male and 75.1% were married. About half of them (50.3%, 138/274) aged 21-39 years. The most common cause of injuries was related to traffic accidents: 140 (51.1%). Of the 274 trauma participants, 47 (17.2%) reported PTSD; 244 (89.1%) had a mild disability, and 30 (10.9%) reported moderate disability. CONCLUSION: One of the main causes of disability in the human community is the traumatic injuries. According to the results of this study, 89.1% of trauma participants have sustained at last mild disability following trauma. These people require follow-up and post-treatment support. It should be noted that psychological complications such as PTSD are as significant as physical symptoms.

HSP70/IL-2 Treated NK Cells Effectively Cross the Blood Brain Barrier and Target Tumor Cells in a Rat Model of Induced Glioblastoma Multiforme (GBM).

Natural killer (NK) cell therapy is one of the most promising treatments for Glioblastoma Multiforme (GBM). However, this emerging technology is limited by the availability of sufficient numbers of fully functional cells. Here, we investigated the efficacy of NK cells that were expanded and treated by interleukin-2 (IL-2) and heat shock protein 70 (HSP70), both in vitro and in vivo. Proliferation and cytotoxicity assays were used to assess the functionality of NK cells in vitro, after which treated and naïve NK cells were administrated intracranially and systemically to compare the potential antitumor activities in our in vivo rat GBM models. In vitro assays provided strong evidence of NK cell efficacy against C6 tumor cells. In vivo tracking of NK cells showed efficient homing around and within the tumor site. Furthermore, significant amelioration of the tumor in rats treated with HSP70/Il-2-treated NK cells as compared to those subjected to nontreated NK cells, as confirmed by MRI, proved the efficacy of adoptive NK cell therapy. Moreover, results obtained with systemic injection confirmed migration of activated NK cells over the blood brain barrier and subsequent targeting of GBM tumor cells. Our data suggest that administration of HSP70/Il-2-treated NK cells may be a promising therapeutic approach to be considered in the treatment of GBM.

Neuropathological and genomic characterization of glioblastoma-induced rat model: How similar is it to humans for targeted therapy?

Glioblastoma multiforme (GBM) is a unique aggressive tumor and mostly develops in the brain, while rarely spreading out of the central nervous system. It is associated with a high mortality rate; despite tremendous efforts having been made for effective therapy, tumor recurrence occurs with high prevalence. To elucidate the mechanisms that lead to new drug discovery, animal models of tumor progression is one of the oldest and most beneficial approaches to not only investigating the aggressive nature of the tumor, but also improving preclinical research. It is also a useful tool for predicting novel therapies' effectiveness as well as side effects. However, there are concerns that must be considered, such as the heterogeneity of tumor, biological properties, pharma dynamic, and anatomic shapes of the models, which have to be similar to humans as much as possible. Although several methods and various species have been used for this approach, the real recapitulation of the human tumor has been left under discussion. The GBM model, which has been verified in this study, has been established by using the Rat C6 cell line. By exploiting bioinformatic tools, the similarities between aberrant gene expression and pathways have been predicted. In this regard, 610 common genes and a number of pathways have been detected. Moreover, while magnetic resonance imaging analysis enables us to compare tumor features between these two specious, pathological findings provides most of the human GBM characteristics. Therefore, the present study provides genomics, pathologic, and imaging evidence for showing the similarities between human and rat GBM models.

Fuzzy decision support systems to diagnose musculoskeletal disorders: A systematic literature review.

BACKGROUND AND OBJECTIVE: Musculoskeletal disorders (MSDs) are one of the most important causes of disability with a high prevalence. The accurate and timely diagnosis of these disorders is often difficult. Clinical decision support systems (CDSSs) can help physicians to diagnose diseases quickly and accurately. Given the ambiguous nature of MSDs, fuzzy logic can be helpful in designing the CDSSs knowledge bases. The present study aimed to review the studies on fuzzy CDSSs to diagnose MSDs. METHODS: A comprehensive search was conducted in Medline, Scopus, Cochrane Library, and ISI Web of Science databases to identify relevant studies published until March 15, 2016. Studies were included in which CDSSs were developed using fuzzy logic to diagnose MSDs, and tested their accuracy using real data from patients. RESULTS: Of the 3188 papers examined, 23 papers included according to the inclusion criteria. The results showed that among all the designed CDSSs only one (CADIAG-2) was implemented in the clinical environment. In about half of the included studies (52%), CDSSs were designed to diagnose inflammatory/infectious disorder of the bone and joint. In most of the included studies (70%), the knowledge was extracted using a combination of three methods (acquiring from experts, analyzing the data, and reviewing the literature). The median accuracy of fuzzy rule-based CDSSs was 91% and it was 90% for other fuzzy models. The most frequently used membership functions were triangular and trapezoidal functions, and the most used method for inference was the Mamdani. CONCLUSIONS: In general, fuzzy CDSSs have a high accuracy to diagnose MSDs. Despite the high accuracy, these systems have been used to a limited extent in the clinical environments. To design of knowledge base for CDSSs to diagnose MSDs, rule-based methods are used more than other fuzzy methods.

Effect of Tranexamic Acid on Prevention of Hemorrhagic Mass Growth in Patients with Traumatic Brain Injury.

BACKGROUND: Intracranial hemorrhage is a common complication of traumatic brain injury (TBI). The purpose of this study is evaluation of the effect of tranexamic acid (TXA) on hemorrhagic mass growth in TBI patients. PATIENTS AND METHODS: In this randomized, double-blind clinical trial, 149 patients with TBI and any kind of blood on their computed tomography scan enrolled in the study and were randomly allocated to receive TXA or placebo. After 24 hours, computed tomography scan was repeated for assessing the changes in hemorrhage, new bleeding, and mass effects of blood on brain tissue. The primary outcome was growth of the hemorrhagic lesion. Data were analyzed by SPSS software using Fisher exact, chi-square, and Mann-Whitney U tests, as well as linear and logistic regression models. FINDINGS: The incidence of hemorrhagic lesion growth was 20.5% in the TXA group and 22.7% in the placebo group. The difference was not significant (P = 0.87, RR = 0.89). The mean (standard deviation) of hemorrhagic lesion growth was 9.4 (15.3) in the TXA group and 10.2 (10.1) in the placebo group without significant difference (P = 0.27). The frequency of deaths (2.7% vs. 4%), adverse outcome at discharge (10.8% vs. 17.3%), and 3 months later (6.8% vs. 14.7%) in the TXA group were lower than the placebo, but the difference was not statistically significant. No side effect was observed with the administration of TXA. CONCLUSION: Administration of a short dose of TXA does not lead to significant prevention of growth of posttraumatic hemorrhagic lesion or improvement of clinical outcomes.

Spinal injury resulting from car accident: Focus to prevention.

AIM: To determine and compare the patterns of spinal injury in car occupants. MATERIALS AND METHODS: Retrospective cross-sectional study enrolling all patients with spinal fracture after car accidents, who were admitted to hospital more than 24 h during 2004-2009. RESULTS: The lumbosacral spine was the most commonly involved region (64.8). Six patients had spinal cord injury (6.6%). The majority of the victims were drivers of the vehicle (86.8%) and remaining were passengers. There was a significant difference in lumbar anatomic region (P = 0.05) and place of accident (P = 0.05) in car occupants' position (P = 0.05). Car rollover was the most common mechanism of spinal fractures. There was a significant difference in lumbar anatomic region (P = 0.05), and two or more associated organ injuries (P ≤ 0.05) in car accident mechanism (P = 0.05). CONCLUSION: The chance of sustaining serious spine and associated multiple injuries in car accidents is quite high in our today's society. This may be due to the low level of standards for car manufacturing, absence or inadequacy of appropriate safety measures in cars, and poorly designed roads and problems in quality of driving to mention some reasons. Therefore, these victims are prone to significant morbidity and even mortality and need more specific prehospital supportive interventions.

Effect of Mild Traumatic Brain Injury and Demographic Factors on Psychological Outcome.

BACKGROUND: It is well-known that severe brain injury can make people susceptible to psychological symptoms. However, mild traumatic brain injury (MTBI) is still open for discussion. OBJECTIVES: This study aimed to compare psychological symptoms of MTBI patients with those without MTBI considering demographic auxiliary variables. PATIENTS AND METHODS: This prospective cohort study was conducted on 50 MTBI patients and 50 healthy subjects aged 15 - 65 years. Psychological assessment was carried out six months post-injury using a series of self-report measures including the brief symptom inventory (BSI) scale. Other information of the individuals in the two groups was recorded prospectively. Data were analyzed using the chi-square test, t-test, and multiple linear regression tests. RESULTS: There was a significant difference between the MTBI patients and healthy subjects in all subscales and total score of BSI. Our findings showed that obsession-compulsion and anxiety subscales were significantly more common in the MTBI patients than in the healthy subjects. Also, multivariate regression analysis six months post- injury showed that head trauma and substance abuse can have an effect on psychological symptoms. CONCLUSIONS: Mild traumatic brain injuries despite of the normal CT scan and history of substance abuse are closely related to psychological symptoms. Therefore, it is recommended that patients with brain trauma 6 months post-injury and subjects with a history of substance abuse be evaluated for psychological distress to support better rehabilitation.

Repetitive Traumatic Brain Injury in Patients From Kashan, Iran.

BACKGROUND: Traumatic brain injury (TBI) is a worldwide problem, especially in countries with high incidence of road traffic accidents such as Iran. Patients with a single occurrence of TBI have been shown to be at increased risk to sustain future TBI. OBJECTIVES: The aim of this study was to present the incidence and characteristics of repeated TBI (RTBI) in Iranian patients. PATIENTS AND METHODS: During one year, all admitted TBI patients with prior TBI history were enrolled into the study. In each patient, data such as age, gender, past medical history, injury cause, anatomic site of injury, TBI severity, clinical findings and CT scan findings were collected. RESULTS: RTBI comprised 2.5% of TBI cases (41 of 1629). The incidence of RTBI per 100,000 individuals per years was 9.7. The main cause of RTBI was road traffic accident (68.3%); 9.7 % of cases had preexisting seizure/epilepsy disorder; 36.6% of patients with RTBI had pervious ICU admission due to severe TBI. Ten patients had Glasgow coma scale (GCS) ≤ 13 (24.4%). Seizure was seen in seven patients (17.1%). Thirty-nine percent of patients with RTBI had associated injuries. Eleven patients had abnormal CT scan findings (26.9%). CONCLUSIONS: Considering the high incidence of trauma in developing countries, RTBI may also be more common compared with that of developed countries. This mandates a newer approach to preventive strategies, particularly in those with a previous experience of head injury.

The Rotterdam Scoring System Can Be Used as an Independent Factor for Predicting Traumatic Brain Injury Outcomes.

OBJECTIVE: Predicting outcomes in patients with traumatic brain injury is critically important for making sound clinical decisions. This study aimed at determining the prognostic value of the Rotterdam scoring system to predict early death among these patients. MATERIALS AND METHODS: This study was performed prospectively on 150 patients with traumatic brain injury hospitalized in Shahid Beheshti Hospital, Kashan, Iran. Patients' demographic and clinical characteristics such as age, sex, mechanism of trauma, initial Glasgow Coma Scale score, and accompanying lesions were documented. A brain computed tomography was performed for each patient and scored by use of the Rotterdam system. Patients were monitored for 2 weeks after hospital discharge, and their outcomes were documented. Univariate and multiple logistic regression analysis and prognostic values of Rotterdam system were conducted by SPSS software. RESULTS: Nineteen patients (12.7%) died during the course of the study. The mean age of the dead patients was significantly greater than those who survived (P = 0.037). The sensitivity and the specificity of the Rotterdam scoring system at the cutoff score of 4 were 84.2% and 96.2%, respectively. Rotterdam score was significantly correlated with patient outcomes (P < 0.0001). Moreover, logistic regression analyses revealed that factors such as age, sex, Glasgow Coma Scale score, and Rotterdam score significantly contributed to patient outcomes. CONCLUSIONS: Rotterdam score is an independent factor for predicting outcomes among patients with traumatic brain injury. At the cutoff score of 4, the Rotterdam system can predict outcomes among patients suffering from traumatic brain injury with acceptable sensitivity and specificity.

Comparing Cognitive Failures and Metacognitive Beliefs in Mild Traumatic Brain Injured Patients and Normal Controls in Kashan.

BACKGROUND: Head trauma is associated with multiple destructive cognitive symptoms and cognitive failure. Cognitive failures include problems with memory, attention and operation. Cognitive failures are considered as a process associated with metacognition. OBJECTIVES: This study aimed to compare cognitive failures and metacognitive beliefs in mild Traumatic Brain Injured (TBI) patients and normal controls in Kashan. PATIENTS AND METHODS: The study was performed on 40 TBI patients referred to the Shahid Beheshti Hospital of Kashan city and 40 normal controls in Kashan. Traumatic brain injured patients and normal controls were selected by convenience sampling. Two groups filled out the demographic sheet, Cognitive Failures Questionnaire (CFQ) and Meta-Cognitions Questionnaire 30 (MCQ-30). The data were analyzed by the SPSS-19 software with multivariate analysis of variance. RESULTS: The results of this study showed that there were no significant differences between TBI and controls in total scores and subscales of CFQ and MCQ (F = 0.801, P = 0.61). CONCLUSIONS: Based on these findings, it seems that mild brain injuries don't make significant metacognitive problems and cognitive failures.