Treatment of verb tense inflection and sentence production in Persian individuals with agrammatism.

Production of verb morphology, especially tense inflection, is usually impaired in individuals with agrammatism. There have been relatively few studies on treatment of verb tense inflection in agrammatic aphasia. In this study we adapted ACTION (a linguistically motivated treatment) to Persian language, to treat the production of regular and irregular verbs separately in sentence context. A single-subject multiple-baseline across behaviors design was used to establish the treatment effect. Using a non-probable convenience sampling, four Persian agrammatic patients with Broca's aphasia resulting from cerebrovascular accident (CVA) were recruited for this study. Two participants received treatment first for regular verbs (Phase 1, 4 weeks), and then for irregular verbs (Phase 2, 4 weeks). The other two participants received treatment in reverse order. In the final phase of treatment (Phase 3, 4 weeks), all 4 participants underwent a sentence construction treatment. All participants showed improvement in the production of trained tenses. Treatment also generalized to production of untrained regular verbs while generalization to irregular verbs was modest. Furthermore, improvement was found on narrative scores (e.g. MLU) after treatment. These findings suggest that Persian individuals with agrammatism could be trained to correctly apply temporal information to verb inflection in elicited speech.

Extensive overview of soil constitutive relations and applications for geotechnical engineering problems.

A state-of-the-art review has been conducted in this work on soil constitutive modeling, which has emphasized on: soil type, ground-water conditions, loading conditions, structural behavior, constitutive relation discipline, and dimensions. By extension also, the soil constitutive applications were reviewed on the bases of: single discipline dealing with soil mechanical properties constitutive modeling which included slope stability problems, bearing capacity, settlement of foundations, earth pressure problems, soil dynamics, soil structure interaction, thermal and hydrological conditions; bi-discipline (coupled problems) which solve problems related to thermomechanical (freeze/thaw conditions), smoothed particle hydrodynamics (SPH) and hydromechanical (consolidation, collapse and liquefaction) conditions in soils and rocks and multi-discipline constitutive models which solve complex problems related to thermo-hydromechanical (THM) conditions in soils and rocks. This work has shown that smoothed particle hydrodynamics (SPH) and hydromechanical (HM) models, which belong to bi-discipline or coupled conditions are better suited for geotechnical applications, generally, while thermo-hydromechanical (THM) models, which belong to multi-discipline are better suited to solving freeze/thaw and thermal piles problems and these are proven with high performance and flexibility.

The Efficacy of Structural Priming in the Production of Sentences with Prepositions in Persian Patients with Poststroke Aphasia.

INTRODUCTION: Problems with the production of sentences with prepositions are one of the most common language problems in people with aphasia (PWA). Structural priming (SP) is one of the theory-based therapeutic approaches to improve these deficits. Although several studies have been conducted on the sentence construction problems of PWA, there is no study on the SP protocol for the production of sentences with Persian prepositions. This study aimed to investigate the effectiveness of SP in the production of these sentences among Persian-speaking PWA. METHODS: This study, with a single-subject ABA design, evaluated the efficacy of SP in the production of trained and untrained sentences containing Persian prepositions in four aphasic individuals with agrammatism and investigated the maintenance effects at 4 weeks post-training. RESULTS: Two subjects (A.G. and M.S.) showed notable changes in the production of trained sentences with Persian prepositions (50% to 91.67% for A.G. and 0% to 66.67% for M.S.). This significant improvement was generalized to sentences with untrained prepositions (50% to 91.67% for A.G. and 0% to 83.33% for M.S.). The treatment effects were also maintained in the 4-week follow-up (d2 = 10.3 for A.G. and d2 = 19.06 for M.S.). However, the other two participants only showed a slight increase in these variables after treatment. CONCLUSION: The findings of the present study revealed that SP for sentences with prepositions could be useful to varying degrees for Persian-speaking PWA with agrammatism and lead to improved language skills in producing these sentences. Overall, individuals with better language skills and cognitive status in early assessments showed better treatment outcomes than others.

Automated affect classification and task difficulty adaptation in a competitive scenario based on physiological linkage: An exploratory study.

In competitive and cooperative scenarios, task difficulty should be dynamically adapted to suit people with different abilities. State-of-the-art difficulty adaptation methods for such scenarios are based on task performance, which conveys little information about user-specific factors such as workload. Thus, we present an exploratory study of automated affect recognition and task difficulty adaptation in a competitive scenario based on physiological linkage (covariation of participants' physiological responses). Classification algorithms were developed in an open-loop study where 16 pairs played a competitive game while 5 physiological responses were measured: respiration, skin conductance, electrocardiogram, and 2 facial electromyograms. Physiological and performance data were used to classify four self-reported variables (enjoyment, valence, arousal, perceived difficulty) into two or three classes. The highest classification accuracies were obtained for perceived difficulty: 84.3% for two-class and 60.5% for three-class classification. As a proof of concept, the developed classifiers were used in a small closed-loop study to dynamically adapt game difficulty. While this closed-loop study found no clear advantages of physiology-based adaptation, it demonstrated the technical feasibility of such real-time adaptation. In the long term, physiology-based task adaptation could enhance competition and cooperation in many multi-user settings (e.g., education, manufacturing, exercise).

User Experience With Dynamic Difficulty Adjustment Methods for an Affective Exergame: Comparative Laboratory-Based Study.

BACKGROUND: In affective exergames, game difficulty is dynamically adjusted to match the user's physical and psychological state. Such an adjustment is commonly made based on a combination of performance measures (eg, in-game scores) and physiological measurements, which provide insight into the player's psychological state. However, although many prototypes of affective games have been presented and many studies have shown that physiological measurements allow more accurate classification of the player's psychological state than performance measures, few studies have examined whether dynamic difficulty adjustment (DDA) based on physiological measurements (which requires additional sensors) results in a better user experience than performance-based DDA or manual difficulty adjustment. OBJECTIVE: This study aims to compare five DDA methods in an affective exergame: manual (player-controlled), random, performance-based, personality-performance-based, and physiology-personality-performance-based (all-data). METHODS: A total of 50 participants (N=50) were divided into five groups, corresponding to the five DDA methods. They played an exergame version of Pong for 18 minutes, starting at a medium difficulty; every 2 minutes, two game difficulty parameters (ball speed and paddle size) were adjusted using the participant's assigned DDA method. The DDA rules for the performance-based, personality-performance-based, and all-data groups were developed based on data from a previous open-loop study. Seven physiological responses were recorded throughout the sessions, and participants self-reported their preferred changes to difficulty every 2 minutes. After playing the game, participants reported their in-game experience using two questionnaires: the Intrinsic Motivation Inventory and the Flow Experience Measure. RESULTS: Although the all-data method resulted in the most accurate changes to ball speed and paddle size (defined as the percentage match between DDA choice and participants' preference), no significant differences between DDA methods were found on the Intrinsic Motivation Inventory and Flow Experience Measure. When the data from all four automated DDA methods were pooled together, the accuracy of changes in ball speed was significantly correlated with players' enjoyment (r=0.38) and pressure (r=0.43). CONCLUSIONS: Although our study is limited by the use of a between-subjects design and may not generalize to other exergame designs, the results do not currently support the inclusion of physiological measurements in affective exergames, as they did not result in an improved user experience. As the accuracy of difficulty changes is correlated with user experience, the results support the development of more effective DDA methods. However, they show that the inclusion of physiological measurements does not guarantee a better user experience even if it yields promising results in offline cross-validation.

Automated Detection of Enhanced DBS Device Settings.

Continuous deep brain stimulation (DBS) of the ventral striatum (VS) is an effective treatment for severe, treatment-refractory obsessive-compulsive disorder (OCD). Optimal parameter settings are signaled by a mirth response of intense positive affect, which are subjectively identified by clinicians. Subjective judgments are idiosyncratic and difficult to standardize. To objectively measure mirth responses, we used Automatic Facial Affect Recognition (AFAR) in a series of longitudinal assessments of a patient treated with DBS. Pre- and post-adjustment DBS were compared using both statistical and machine learning approaches. Positive affect was significantly higher post-DBS adjustment. Using SVM and XGBoost, participant's pre- and post-adjustment appearances were differentiated with F1 of 0.76, which suggests feasibility of objective measurement of mirth response.

Classification of Multiple Psychological Dimensions in Computer Game Players Using Physiology, Performance, and Personality Characteristics.

Human psychological (cognitive and affective) dimensions can be assessed using several methods, such as physiological or performance measurements. To date, however, few studies have compared different data modalities with regard to their ability to enable accurate classification of different psychological dimensions. This study thus compares classification accuracies for four psychological dimensions and two subjective preferences about computer game difficulty using three data modalities: physiology, performance, and personality characteristics. Thirty participants played a computer game at nine difficulty configurations that were implemented via two difficulty parameters. In each configuration, seven physiological measurements and two performance variables were recorded. A short questionnaire was filled out to assess the perceived difficulty, enjoyment, valence, arousal, and the way the participant would like to modify the two difficulty parameters. Furthermore, participants' personality characteristics were assessed using four questionnaires. All combinations of the three data modalities (physiology, performance, and personality) were used to classify six dimensions of the short questionnaire into either two, three or many classes using four classifier types: linear discriminant analysis, support vector machine (SVM), ensemble decision tree, and multiple linear regression. The classification accuracy varied widely between the different psychological dimensions; the highest accuracies for two-class and three-class classification were 97.6 and 84.1%, respectively. Normalized physiological measurements were the most informative data modality, though current game difficulty, personality and performance also contributed to classification accuracy; the best selected features are presented and discussed in the text. The SVM and multiple linear regression were the most accurate classifiers, with regression being more effective for normalized physiological data. In the future, we will further examine the effect of different classification approaches on user experience by detecting the user's psychological state and adapting game difficulty in real-time. This will allow us to obtain a complete picture of the performance of affect-aware systems in both an offline (classification accuracy) and real-time (effect on user experience) fashion.

Using Physiological Linkage for Patient State Assessment In a Competitive Rehabilitation Game.

Competitive rehabilitation games can enhance motivation and exercise intensity compared to solo exercise; however, since such games may be played by two people with different abilities, game difficulty must be dynamically adapted to suit both players. State-of-the-art adaptation algorithms are based on players' performance (e.g., score), which may not be representative of the patient's physical and psychological state. Instead, we propose a method that estimates players' states in a competitive game based on the covariation of players' physiological responses. The method was evaluated in 10 unimpaired pairs, who played a competitive game in 6 conditions while 5 physiological responses were measured: respiration, skin conductance, heart rate, and 2 facial electromyograms. Two physiological linkage methods were used to assess the similarity of the players' physiological measurements: coherence of raw measurements and correlation of heart and respiration rates. These linkage features were compared to traditional individual physiological features in classification of players' affects (enjoyment, valence, arousal, perceived difficulty) into 'low' and 'high' classes. Classifiers based on physiological linkage resulted in higher accuracies than those based on individual physiological features, and combining both feature types yielded the highest classification accuracies (75% to 91%). These classifiers will next be used to dynamically adapt game difficulty during rehabilitation.

A Brief Measure of Interpersonal Interaction for 2-Player Serious Games: Questionnaire Validation.

BACKGROUND: Competitive and cooperative serious games have become increasingly popular in areas such as rehabilitation and education and have several potential advantages over single-player games. However, they are not suitable for everyone, and the user experience in competitive and cooperative serious games depends on many factors. One important factor is the verbal interaction between players, but the effect of this factor has not been extensively studied because of the lack of a validated measurement tool. OBJECTIVE: This paper aimed to validate a brief questionnaire that measures the verbal interaction between 2 players of a serious game. The questionnaire consists of 8 questions pertaining to the amount of conversation, its valence (positive or negative emotion), and its game relatedness. METHODS: The questionnaire was validated with 30 pairs of participants who played a competitive serious game for 10 min while being recorded with cameras. The questionnaire was filled out by both participants, an in-person observer, and 2 members of our research group who watched the videos. Results from these raters were used to develop questionnaire instructions, and the finalized questionnaire was given to 2 additional raters who were trained on 5 videos and then rated the other 25 videos independently. RESULTS: The questionnaire's interrater reliability is excellent for the amount of conversation and its game relatedness (intraclass correlation coefficients [ICCs] above 0.9). Interrater reliability is fair to good for conversation valence (ICCs between 0.4 and 0.7). We believe that the lower interrater reliability for valence is primarily because of a limited spread of valence values in our sample. Furthermore, questionnaire ratings were significantly correlated with players' personality characteristics (eg, amount of conversation was correlated with extraversion) and pressure/tension experienced in the competitive game. CONCLUSIONS: The validated questionnaire has the potential to be a useful tool for studying user experience in competitive and cooperative serious games. Furthermore, it could be adapted for other applications such as entertainment games. However, it has only been validated with unimpaired university students in a 2-player competitive serious game and should next be validated with different target populations (eg, stroke survivors) and different game designs (eg, cooperative games).

Identifying the Causes of Drivers' Hazardous States Using Driver Characteristics, Vehicle Kinematics, and Physiological Measurements.

Drivers' hazardous physical and mental states (e.g., distraction, fatigue, stress, and high workload) have a major effect on driving performance and strongly contribute to 25-50% of all traffic accidents. They are caused by numerous factors, such as cell phone use or lack of sleep. However, while significant research has been done on detecting hazardous states, most studies have not tried to identify the causes of the hazardous states. Such information would be very useful, as it would allow intelligent vehicles to better respond to a detected hazardous state. Thus, this study examined whether the cause of a driver's hazardous state can be automatically identified using a combination of driver characteristics, vehicle kinematics, and physiological measures. Twenty-one healthy participants took part in four 45-min sessions of simulated driving, of which they were mildly sleep-deprived for two sessions. Within each session, there were eight different scenarios with different weather (sunny or snowy), traffic density and cell phone usage (with or without cell phone). During each scenario, four physiological (respiration, electrocardiogram, skin conductance, and body temperature) and eight vehicle kinematics measures were monitored. Additionally, three self-reported driver characteristics were obtained: personality, stress level, and mood. Three feature sets were formed based on driver characteristics, vehicle kinematics, and physiological signals. All possible combinations of the three feature sets were used to classify sleep deprivation (drowsy vs. alert), traffic density (low vs. high), cell phone use, and weather conditions (foggy/snowy vs. sunny) with highest accuracies of 98.8%, 91.4%, 82.3%, and 71.5%, respectively. Vehicle kinematics were most useful for classification of weather and traffic density while physiology and driver characteristics were useful for classification of sleep deprivation and cell phone use. Furthermore, a second classification scheme was tested that also incorporates information about whether or not other causes of hazardous states are present, though this did not result in higher classification accuracy. In the future, these classifiers could be used to identify both the presence and cause of a driver's hazardous state, which could serve as the basis for more intelligent intervention systems.

Comparison of two difficulty adaptation strategies for competitive arm rehabilitation exercises.

This paper presents two different strategies for difficulty adaptation in a competitive arm rehabilitation game: a manual adaptation strategy and an automatic performance-based adaptation strategy. The two strategies were implemented in a competitive game controlled with an inertial-sensor-based home rehabilitation device. They were first evaluated with 32 pairs of unimpaired participants, who played the game with manual adaptation, automated adaptation, or no adaptation. Each variant was played for 9 minutes. Then, the manual and automatic adaptation were also tested by 5 pairs consisting of a person with arm impairment (due to neurological injury) and their unimpaired friend or relative. Throughout the game, motivation was measured with questionnaires while exercise intensity was tracked using the inertial sensors. Results showed that both manual and automatic difficulty adaptation lead to higher motivation and exercise intensity than no adaptation. Unimpaired participants showed no clear preference between manual and automatic adaptation while 4 of 5 impaired participants preferred automatic adaptation. For future use, we propose a combination of manual and automatic adaptation that should be evaluated with more impaired participants in longer multisession experiments.

Postoperative antibiotic therapy after appendectomy in patients with non-perforated appendicitis.

BACKGROUND: Appendectomy intra-abdominal is the most frequently performed emergency surgery. This study was conducted to determine the role of postoperative antibiotics in reducing surgical site infections (SSIs) and abscess formation after open appendectomy. METHODS: In the Department of Surgery, Shahid Beheshti Hospital, Babol, Iran, from October 2013 to October 2014 one hundred and fifty two patients, who underwent appendectomy for nonperforated appendicitis (NPA) and fulfilled the selection criteria, were randomized into two groups. Group A patients received a single dose of preoperative antibiotics (ceftriaxone and metronidazole) and group B patients received the same regimen, in addition, antibiotics were administered 24 hours postoperatively. Patients of both groups were followed-up for 30 days to assess the postoperative infectious complications. RESULTS: Both groups comprised 76 patients, as well both groups were compared in baseline characteristics. Statistically, there was no significant difference in rates of SSIs between both groups. None of the patients developed intra-abdominal collection. CONCLUSION: Single dose of preoperative antibiotics (ceftriaxone and metronidazole) was sufficient in reducing SSIs after appendectomy for NPA. Postoperative antibiotics did not add an appreciable clinical benefit in these patients.

The Effect of Prophylactic Antibiotics on Post Laparoscopic Cholecystectomy Infectious Complications: A Double-Blinded Clinical Trial.

BACKGROUND: Laparoscopic cholecystectomy (LC) is one of the most common surgeries in laparoscopic surgery. Although, it is believed that LC has low-risk for post-operative infectious complications, the use of a prophylactic antibiotic is still controversial in elective LC. OBJECTIVE: To determine the impact of prophylactic antibiotics on postoperative infection complications in elective laparoscopic cholecystectomy. METHODS: In this double-blind, placebo-controlled, randomized, clinical trial, patients who were candidates for elective LC, from March 2012 to 2015, in four hospitals in Babol, Iran, were studied. Patients were allocated randomly to two groups, i.e., group C: Cefazolin (n = 182) and group P: placebo (n = 247). Group C received 1 g of Cefazolin 30 minutes before anesthesia and and then, six and 12 hours after anesthesia. Group P patients received 10 ml of isotonic sodium chloride solution. Age, gender, type of gallbladder diseases (stone, polyp, or hydrops), the length of post-operative hospitalization, frequency of gallbladder rupture, the duration of surgery, and the kinds of complications associated with infections were collected for each patient in the two groups. The data were analyzed by IBM-SPSS version 20, using the t-test and the chi-squared test, and a p-value < 0.05 was considered as significant. RESULTS: There were no significant differences between the two groups in terms of gender (C versus P: 18 (9.9%) male versus 22 (9%); p = 0.74), age (C versus P: 43.75 + 13.30 years versus 40.91 + 13.05; p = 0.20), and duration of surgery (C versus P: 34.97 ± 8.25 min versus 34.11 ± 8.39; p = 0.71). There were no significant differences between the two groups in the incidences of post-operative infection (C versus P: 3 (1.7%) versus 5 (2%); p = 0.99) and rupture of the gallbladder (C versus P: 14 (7.8%) versus 17 (6.8%); p = 0.85). No other post-operative systemic infectious complications (e.g., sepsis, pneumonia, or urinary tract infection) were found in either group. CONCLUSION: For patients who underwent laparoscopic cholecystectomy (LC), prophylactic antibiotics had no important role in the prevention of infections; so these antibiotics apparently are not necessary in treatment, and they are not recommended for patients with laparoscopic cholecystectomy as low-risk selective antibiotics. TRIAL REGISTRATION: The trial was registered at the Iranian Clinical Trial Registry (http://www.irct.ir) with the IRCT identification number IRCT2013070413865N1. FUNDING: This research was supported financially by the Research Council of Babol University of Medical Sciences.

Comparing the production of complex sentences in Persian patients with post-stroke aphasia and non-damaged people with normal speaking.

BACKGROUND: Cerebrovascular disease leading to stroke is the most common cause of aphasia. Speakers with agrammatic non-fluent aphasia have difficulties in production of movement-derived sentences such as passive sentences, topicalized constituents, and Wh-questions. To assess the production of complex sentences, some passive, topicalized and focused sentences were designed for patients with non-fluent Persian aphasic. Afterwards, patients' performance in sentence production was tested and compared with healthy non-damaged subjects. METHODS: In this cross sectional study, a task was designed to assess the different types of sentences (active, passive, topicalized and focused) adapted to Persian structures. Seven Persian patients with post-stroke non-fluent agrammatic aphasia (5 men and 2 women) and seven healthy non-damaged subjects participated in this study. The computed tomography (CT) scan or magnetic resonance imaging (MRI) showed that all the patients had a single left hemisphere lesion involved middle cerebral artery (MCA), Broca`s area and in its white matter. In addition, based on Bedside version of Persian Western Aphasia Battery (P-WAB-1), all of them were diagnosed with moderate Broca aphasia. Then, the production task of Persian complex sentences was administered. RESULTS: There was a significant difference between four types of sentences in patients with aphasia [Degree of freedom (df) = 3, P < 0.001]. All the patients showed worse performance than the healthy participants in all the four types of sentence production (P < 0.050). CONCLUSION: In general, it is concluded that topicalized and focused sentences as non-canonical complex sentences in Persian are very difficult to produce for patients with agrammatic non-fluent aphasia. It seems that sentences with A-movement are simpler for the patients than sentences involving A`-movement; since they include shorter movements in compare to topicalized and focused sentences.

Influence of splenectomy on immunoglobulins and complement components in major thalassemia.

BACKGROUND: Thalassemia is the most common anemia with hereditary base in Iran. The aim of this study was to evaluate the humoral immune system and assess the effect of splenectomy on the serum level of immunoglobulins IgG, IgM, and IgG and complement components in patients with major thalassemia. METHODS: This quasi-experimental study (before-after) was performed on 40 patients with major thalassemia that referred to the treatment centers of Babol for splenectomy from March 2011 to March 2013. RESULTS: The mean age of patients under study was 25.38±6.89 years. The results of this study showed that the rate of IgA and IgM had a significant decrease after splenectomy. However, the increase of serum level in IgG in this study was not significant. The serum levels of C3 and CH50 were evaluated in all patients that its reduction was statistically significant, but the decrease of serum levels in C4 was not significant. CONCLUSION: The spleen plays a role in releasing immunoglobulins and starter proteins of complement activation pathways and splenectomy causes reduction in the serum levels of immunoglobulins and complement components.

Extracellular spike detection from multiple electrode array using novel intelligent filter and ensemble fuzzy decision making.

BACKGROUND: The information obtained from signal recorded with extracellular electrodes is essential in many research fields with scientific and clinical applications. These signals are usually considered as a point process and a spike detection method is needed to estimate the time instants of action potentials. In order to do so, several steps are taken but they all depend on the results of the first step, which filters the signals. To alleviate the effect of noise, selecting the filter parameters is very time-consuming. In addition, spike detection algorithms are signal dependent and their performance varies significantly when the data change. NEW METHODS: We propose two approaches to tackle the two problems above. We employ ensemble empirical mode decomposition (EEMD), which does not require parameter selection, and a novel approach to choose the filter parameters automatically. Then, to boost the efficiency of each of the existing methods, the Hilbert transform is employed as a pre-processing step. To tackle the second problem, two novel approaches, which use the fuzzy and probability theories to combine a number of spike detectors, are employed to achieve higher performance. RESULTS, COMPARISON WITH EXISTING METHOD(S) AND CONCLUSIONS: The simulation results for realistic synthetic and real neuronal data reveal the improvement of the proposed spike detection techniques over state-of-the art approaches. We expect these improve subsequent steps like spike sorting.

Evaluation of chest and abdominal injuries in trauma patients hospitalized in the surgery ward of poursina teaching hospital, guilan, iran.

BACKGROUND: Trauma, especially chest and abdominal trauma are increasing due to the growing number of vehicles on the roads, which leads to an increased incidence of road accidents. Urbanization, industrialization and additional problems are the other associated factors which accelerate this phenomenon. A better understanding of the etiology and pattern of such injuries can help to improve the management and ultimate the outcomes of these patients. OBJECTIVES: This study aimed to evaluate the patients with chest and abdominal trauma hospitalized in the surgery ward of Poursina teaching hospital, Guilan, Iran. PATIENTS AND METHODS: In this cross-sectional study, the data of all chest and abdominal trauma patients hospitalized in the surgery ward of Poursina teaching hospital were collected from March 2011 to March 2012. Information about age, gender, injured areas, type of injury (penetrating or blunt), etiology of the injury, accident location (urban or rural) and patients' discharge outcomes were collected by a questionnaire. RESULTS: In total, 211 patients with a mean age of 34.1 ± 1.68 years was entered into the study. The most common cause of trauma was traffic accidents (51.7%). Among patients with chest trauma, 45 cases (35.4%) had penetrating injuries and 82 cases (64.6%) blunt lesions. The prevalence of chest injuries was 35.5% and rib fractures 26.5%. In chest injuries, the prevalence of hemothorax was 65.3%, pneumothorax 2.7%, lung contusion 4% and emphysema 1.3%, respectively. There were 24 cases (27.9%) with abdominal trauma which had penetrating lesions and 62 cases (72.1%) with blunt lesions. The most common lesions in patients with penetrating abdominal injuries were spleen (24.2%) and liver (12.1%) lesions. The outcomes of the patients were as follow: 95.7% recovery and 4.3% death. The majority of deaths were observed among road traffic victims (77.7%). CONCLUSIONS: Considering the fact that road-related accidents are quite predictable and controllable; therefore, the quality promotion of traumatic patients' care, and the road safety should be noted as problems associated with public health.

Correlation of splenectomy with portal vein thrombosis in beta-thalassemia major.

OBJECTIVE: To evaluate the correlation of portal vein thrombosis and splenectomy in beta-thalassemia major patients visiting Babol Medical University, Iran. METHODS: This cohort study was done from 1997 to 2008. In our study, major beta-thalassemic patients visiting for transfusion at least once a month at Amirkola Children's Hospital were selected. Portal vein thrombosis was diagnosed through Doppler ultrasound in symptomatic patients. Cases were 160 beta-thalassemia major patients who underwent splenectomy and 160 remaining thalassemic patients without splenectomy were controls. Statistical comparison with Fisher exact test was performed. RESULTS: Five cases had suffered from portal vein thrombosis (P = 0.03). Majority patients with portal vein thrombosis had their symptoms after first month of the operation. CONCLUSION: Correlation of splenectomy with portal vein thrombosis is statistically significant among beta-thalassemic children from Iran.

Unresolved abdominal mass in an adult cryptorchid testis: a case report.

This case study aims to report an unresolved abdominal mass in an adult with cryptorchid testis and provide a review of related literature. We investigated a 54-year-old man who had cryptorchidism with a history of left orchiectomy 18 years prior. He was diagnosed with an intra-abdominal testicular mass after referring to the emergency ward with pelvic pain. The incidence of testicular cancer in undescended testicles is 40 times greater in the general population. In developed countries, the existence of undescended testicles in adult population is rare, which could be due to systematic practice of elective orchidopexy before the second year of life as well as orchiectomy in post-adolescent patients with undescended testicles. Despite these preventive measures, there are still some isolated cases of intra-abdominal testicular tumors in adults.