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  1. Fulltext The influence of agitation on oil substrate dispersion and oxygen transfer in Pseudomonas aeruginosa USM-AR2 fermentation producing rhamnolipid in a stirred tank bioreactor
    Nur Asshifa MN, Zambry NS, Salwa MS, Yahya ARM
    3 Biotech, 2017 Jul;7(3):189.
    PMID: 28664380 DOI: 10.1007/s13205-017-0828-0
    Water-immiscible substrate, diesel, was supplied as the main substrate in the fermentation of Pseudomonas aeruginosa USM-AR2 producing rhamnolipid biosurfactant, in a stirred tank bioreactor. In addition to the typical gas-aqueous system, this system includes gas-hydrocarbon-aqueous phases and the presence of surfactant (rhamnolipid) in the fermentation broth. The effect of diesel dispersion on volumetric oxygen transfer coefficient, k L a, and thus oxygen transfer, was evaluated at different agitations of 400, 500 and 600 rpm. The oxygen transfer in this oil-water-surfactant system was shown to be affected by different oil dispersion at those agitation rates. The highest diesel dispersion was obtained at 500 rpm or impeller tip speed of 1.31 m/s, compared to 400 and 600 rpm, which led to the highest k L a, growth and rhamnolipid production by P. aeruginosa USM-AR2. This showed the highest substrate mixing and homogenization at this agitation speed that led to the efficient substrate utilization by the cells. The oxygen uptake rate of P. aeruginosa USM-AR2 was 5.55 mmol/L/h, which showed that even the lowest k L a (48.21 h-1) and hence OTR (57.71 mmol/L/h) obtained at 400 rpm was sufficient to fulfill the oxygen demand of the cells. The effect of rhamnolipid concentration on k L a showed that k L a increased as rhamnolipid concentration increased to 0.6 g/L before reaching a plateau. This trend was similar for all agitation rates of 400, 500 and 600 rpm, which might be due to the increase in the resistance to oxygen transfer (k L decrease) and the increase in the specific interfacial area (a).
    Matched MeSH terms: Motor Vehicles
  2. Fulltext Translation and validation of the Malay post traumatic stress disorder checklist for civilians
    Rafidah Bahari, Muhammad N Mohamad Alwi, Muhammad R Ahmad, Ismail Mohd Saiboon
    ASEAN Journal of Psychiatry, 2015;16(2):203-211.
    MyJurnal
    There are a number of validated questionnaires available for the screening of Post-Traumatic Stress Disorder (PTSD), and the PTSD Checklist for Civilians is one of them. However, none was translated into the Malay Language and validated for use in the Malaysian population. The aim of this study is to translate and validate the Malay PTSD Checklist for Civilians (MPCL-C). Methods: The PCL-C was translated into the Malay Language and back-translated. The reliability and validity of the MPCL-C were then determined by administering them to those who presented at the emergency department for motor vehicle accident at least one month before. Results: The MPCL-C has good face and content validity. In terms of reliability, it is also good, with Chronbach’s alpha values of 0.90, 0.77, 0.75 and 0.74 for the full scale, re-experiencing, avoidance and arousal domains respectively. Conclusions: The MPCL-C is a valid and reliable instrument to screen for PTSD in motor vehicle accident victims for the studied population.
    Matched MeSH terms: Motor Vehicles
  3. Analysis of developed transition road safety barrier systems
    Soltani M, Moghaddam TB, Karim MR, Sulong NH
    Accid Anal Prev, 2013 Oct;59:240-52.
    PMID: 23820073 DOI: 10.1016/j.aap.2013.05.029
    Road safety barriers protect vehicles from roadside hazards by redirecting errant vehicles in a safe manner as well as providing high levels of safety during and after impact. This paper focused on transition safety barrier systems which were located at the point of attachment between a bridge and roadside barriers. The aim of this study was to provide an overview of the behavior of transition systems located at upstream bridge rail with different designs and performance levels. Design factors such as occupant risk and vehicle trajectory for different systems were collected and compared. To achieve this aim a comprehensive database was developed using previous studies. The comparison showed that Test 3-21, which is conducted by impacting a pickup truck with speed of 100 km/h and angle of 25° to transition system, was the most severe test. Occupant impact velocity and ridedown acceleration for heavy vehicles were lower than the amounts for passenger cars and pickup trucks, and in most cases higher occupant lateral impact ridedown acceleration was observed on vehicles subjected to higher levels of damage. The best transition system was selected to give optimum performance which reduced occupant risk factors using the similar crashes in accordance with Test 3-21.
    Matched MeSH terms: Motor Vehicles*
  4. Fatigue-related crashes involving express buses in Malaysia: will the proposed policy of banning the early-hour operation reduce fatigue-related crashes and benefit overall road safety?
    Mohamed N, Mohd-Yusoff MF, Othman I, Zulkipli ZH, Osman MR, Voon WS
    Accid Anal Prev, 2012 Mar;45 Suppl:45-9.
    PMID: 22239931 DOI: 10.1016/j.aap.2011.09.025
    Fatigue-related crashes have long been the topic of discussion and study worldwide. The relationship between fatigue-related crashes and time of day is well documented. In Malaysia, the possibility of banning express buses from operating during the early-hours of the morning has emerged as an important consideration for passenger safety. This paper highlights the findings of an impact assessment study. The study was conducted to determine all possible impacts prior to the government making any decision on the proposed banning. This study is an example of a simple and inexpensive approach that may influence future policy-making process. The impact assessment comprised two major steps. The first step involved profiling existing operation scenarios, gathering information on crashes involving public express buses and stakeholders' views. The second step involved a qualitative impact assessment analysis using all information gathered during the profiling stage to describe the possible impacts. Based on the assessment, the move to ban early-hour operations could possibly result in further negative impacts on the overall road safety agenda. These negative impacts may occur if the fundamental issues, such as driving and working hours, and the need for rest and sleep facilities for drivers, are not addressed. In addition, a safer and more accessible public transportation system as an alternative for those who choose to travel at night would be required. The proposed banning of early-hour operations is also not a feasible solution for sustainability of express bus operations in Malaysia, especially for those operating long journeys. The paper concludes by highlighting the need to design a more holistic approach for preventing fatigue-related crashes involving express buses in Malaysia.
    Matched MeSH terms: Motor Vehicles*
  5. Predicting crash frequency for multi-vehicle collision types using multivariate Poisson-lognormal spatial model: A comparative analysis
    Hosseinpour M, Sahebi S, Zamzuri ZH, Yahaya AS, Ismail N
    Accid Anal Prev, 2018 Sep;118:277-288.
    PMID: 29861069 DOI: 10.1016/j.aap.2018.05.003
    According to crash configuration and pre-crash conditions, traffic crashes are classified into different collision types. Based on the literature, multi-vehicle crashes, such as head-on, rear-end, and angle crashes, are more frequent than single-vehicle crashes, and most often result in serious consequences. From a methodological point of view, the majority of prior studies focused on multivehicle collisions have employed univariate count models to estimate crash counts separately by collision type. However, univariate models fail to account for correlations which may exist between different collision types. Among others, multivariate Poisson lognormal (MVPLN) model with spatial correlation is a promising multivariate specification because it not only allows for unobserved heterogeneity (extra-Poisson variation) and dependencies between collision types, but also spatial correlation between adjacent sites. However, the MVPLN spatial model has rarely been applied in previous research for simultaneously modelling crash counts by collision type. Therefore, this study aims at utilizing a MVPLN spatial model to estimate crash counts for four different multi-vehicle collision types, including head-on, rear-end, angle, and sideswipe collisions. To investigate the performance of the MVPLN spatial model, a two-stage model and a univariate Poisson lognormal model (UNPLN) spatial model were also developed in this study. Detailed information on roadway characteristics, traffic volume, and crash history were collected on 407 homogeneous segments from Malaysian federal roads. The results indicate that the MVPLN spatial model outperforms the other comparing models in terms of goodness-of-fit measures. The results also show that the inclusion of spatial heterogeneity in the multivariate model significantly improves the model fit, as indicated by the Deviance Information Criterion (DIC). The correlation between crash types is high and positive, implying that the occurrence of a specific collision type is highly associated with the occurrence of other crash types on the same road segment. These results support the utilization of the MVPLN spatial model when predicting crash counts by collision manner. In terms of contributing factors, the results show that distinct crash types are attributed to different subsets of explanatory variables.
    Matched MeSH terms: Motor Vehicles*
  6. Applying a random parameters Negative Binomial Lindley model to examine multi-vehicle crashes along rural mountainous highways in Malaysia
    Rusli R, Haque MM, Afghari AP, King M
    Accid Anal Prev, 2018 Oct;119:80-90.
    PMID: 30007211 DOI: 10.1016/j.aap.2018.07.006
    Road safety in rural mountainous areas is a major concern as mountainous highways represent a complex road traffic environment due to complex topology and extreme weather conditions and are associated with more severe crashes compared to crashes along roads in flatter areas. The use of crash modelling to identify crash contributing factors along rural mountainous highways suffers from limitations in data availability, particularly in developing countries like Malaysia, and related challenges due to the presence of excess zero observations. To address these challenges, the objective of this study was to develop a safety performance function for multi-vehicle crashes along rural mountainous highways in Malaysia. To overcome the data limitations, an in-depth field survey, in addition to utilization of secondary data sources, was carried out to collect relevant information including roadway geometric factors, traffic characteristics, real-time weather conditions, cross-sectional elements, roadside features, and spatial characteristics. To address heterogeneity resulting from excess zeros, three specialized modelling techniques for excess zeros including Random Parameters Negative Binomial (RPNB), Random Parameters Negative Binomial - Lindley (RPNB-L) and Random Parameters Negative Binomial - Generalized Exponential (RPNB-GE) were employed. Results showed that the RPNB-L model outperformed the other two models in terms of prediction ability and model fit. It was found that heavy rainfall at the time of crash and the presence of minor junctions along mountainous highways increase the likelihood of multi-vehicle crashes, while the presence of horizontal curves along a steep gradient, the presence of a passing lane and presence of road delineation decrease the likelihood of multi-vehicle crashes. Findings of this study have significant implications for road safety along rural mountainous highways, particularly in the context of developing countries.
    Matched MeSH terms: Motor Vehicles
  7. Investigation of factors affecting the injury severity of single-vehicle rollover crashes: A random-effects generalized ordered probit model
    Anarkooli AJ, Hosseinpour M, Kardar A
    Accid Anal Prev, 2017 Sep;106:399-410.
    PMID: 28728062 DOI: 10.1016/j.aap.2017.07.008
    Rollover crashes are responsible for a notable number of serious injuries and fatalities; hence, they are of great concern to transportation officials and safety researchers. However, only few published studies have analyzed the factors associated with severity outcomes of rollover crashes. This research has two objectives. The first objective is to investigate the effects of various factors, of which some have been rarely reported in the existing studies, on the injury severities of single-vehicle (SV) rollover crashes based on six-year crash data collected on the Malaysian federal roads. A random-effects generalized ordered probit (REGOP) model is employed in this study to analyze injury severity patterns caused by rollover crashes. The second objective is to examine the performance of the proposed approach, REGOP, for modeling rollover injury severity outcomes. To this end, a mixed logit (MXL) model is also fitted in this study because of its popularity in injury severity modeling. Regarding the effects of the explanatory variables on the injury severity of rollover crashes, the results reveal that factors including dark without supplemental lighting, rainy weather condition, light truck vehicles (e.g., sport utility vehicles, vans), heavy vehicles (e.g., bus, truck), improper overtaking, vehicle age, traffic volume and composition, number of travel lanes, speed limit, undulating terrain, presence of central median, and unsafe roadside conditions are positively associated with more severe SV rollover crashes. On the other hand, unpaved shoulder width, area type, driver occupation, and number of access points are found as the significant variables decreasing the probability of being killed or severely injured (i.e., KSI) in rollover crashes. Land use and side friction are significant and positively associated only with slight injury category. These findings provide valuable insights into the causes and factors affecting the injury severity patterns of rollover crashes, and thus can help develop effective countermeasures to reduce the severity of rollover crashes. The model comparison results show that the REGOP model is found to outperform the MXL model in terms of goodness-of-fit measures, and also is significantly superior to other extensions of ordered probit models, including generalized ordered probit and random-effects ordered probit (REOP) models. As a result, this research introduces REGOP as a promising tool for future research focusing on crash injury severity.
    Matched MeSH terms: Motor Vehicles/statistics & numerical data*
  8. Modeling of passengers' safety perception for buses on mountainous roads
    Khoo HL, Ahmed M
    Accid Anal Prev, 2018 Apr;113:106-116.
    PMID: 29407657 DOI: 10.1016/j.aap.2018.01.025
    This study had developed a passenger safety perception model specifically for buses taking into consideration the various factors, namely driver characteristics, environmental conditions, and bus characteristics using Bayesian Network. The behaviour of bus driver is observed through the bus motion profile, measured in longitudinal, lateral, and vertical accelerations. The road geometry is recorded using GPS and is computed with the aid of the Google map while the perceived bus safety is rated by the passengers in the bus in real time. A total of 13 variables were derived and used in the model development. The developed Bayesian Network model shows that the type of bus and the experience of the driver on the investigated route could have an influence on passenger's perception of their safety on buses. Road geometry is an indirect influencing factor through the driver's behavior. The findings of this model are useful for the authorities to structure an effective strategy to improve the level of perceived bus safety. A high level of bus safety will definitely boost passenger usage confidence which will subsequently increase ridership.
    Matched MeSH terms: Motor Vehicles*
  9. Fulltext The Physical And Psychological Morbidity In Maxillofacial Trauma Patients
    Au Yong, S.W. L., Ummu Aiman, Y., Rahman, Z.A.A.
    Ann Dent, 1999;6(1):-.
    MyJurnal
    The aim of this research is to study how the physical changes in the maxillofacial trauma patients affect them psychologically in patients of different ages, sexes, races, socioeconomic backgrounds, types and severity of injury. The study was conducted by doing a questionnaire survey, which was divided into physical and psychological components. In the physical component, the questions were mainly related to the physical injuries to the patient, which could be visualized clinically and functionally. The psychological component consisted of analyzing the impact of the maxillofacial trauma to the psychological profile. Twenty patients of both sexes and ages, ranged from 15 to 62 years old were interviewed. The main cause of trauma was from motor vehicle accidents. This study appears to show that maxillofacial trauma may have a psychological impact on patients.
    Matched MeSH terms: Motor Vehicles
  10. Fulltext Post motor vehicle accident with multiple jagged laceration wound
    Irfan Mohamad, Arumugam, Puvan Arul, Nik Fariza Husna Nik Hassan
    Archives of Orofacial Sciences, 2011;6(2):86-88.
    MyJurnal
    An 11-year-old Malay boy was allegedly involved in motor vehicle accident. He sustained left lung contusion and pneumothorax which necessitate chest tube insertion at a district hospital. On arrival at Accident & Emergency Unit, general physical examination was performed. Neck examination revealed multiple jagged lacerations wound on the left side of the neck (Panel 1). (Copied from article).
    Matched MeSH terms: Motor Vehicles
  11. Fulltext Mandibular fracture at HUSM: a 5-year retrospective study
    Kamali U, Pohchi A
    Archives of Orofacial Sciences, 2009;4(2):33-35.
    MyJurnal
    This is a retrospective study to determine the distribution site, associated fracture and causes of mandibular fractures at HUSM, over a 5 year period, from 1st January 2002 - 31st December 2006. Records of patients who had mandibular fracture were reviewed. Data of age, sex, site of fracture, causes and associated fracture were recorded and analyzed using SPSS version 15.0. There were 113 (84.3%) males and 21 (15.7%) females. The mean age for male was 84.3% and female was 15.7%. The fracture occurs mostly at the age of 11-20 years (45.5%), followed by 21-30 years (30.6%). Motor vehicle accidents (MVA) were the commonest causes of mandibular fracture (92.5%), followed by fight and assault (3.7%), industrial accidents (3.0%), fall (0.7%). There were no cases recorded due to sport injury. The commonest site of mandibular fracture occurs at angle and para-symphysis (23%), followed by body (20.1%), symphysis (16.7%), condyle (15.5%) and ramus (1.7%). The most common associated fractures were head injury (23.5%), followed by clavicle fracture (17.2%) and fracture of radius (10.7%). Mandibular fracture was common in males with the mean age 24.63 years and mostly due to MVA. Angle and para-symphysis is the commonest site of mandibular fracture with most of the patient suffered from concomitant head injury.
    Matched MeSH terms: Motor Vehicles
  12. Fulltext Successful ankle replantation in two cases with different presentations
    Wen APY, Jusoh MH, Saad AZM, Halim AS, Faisham NWIW, Azman WSW
    Arch Plast Surg, 2020 Mar;47(2):182-186.
    PMID: 31462030 DOI: 10.5999/aps.2018.00514
    We report our experience of treating two patients with ankle amputation with different presentations. The first case was a clean-cut sharp amputation. The second case was an avulsion injury following a motor vehicle accident in a patient who arrived 8 hours after the injury. Replantation was successful in both cases. In avulsion injuries, a secondary operation for wound coverage is required at a later stage. With good strategy and a support team, encouraging limb survival outcomes are possible post-replantation.
    Matched MeSH terms: Motor Vehicles
  13. Relationship between vehicle count and particulate air pollution in Amman, Jordan
    Alnawaiseh NA, Hashim JH, Isa ZM
    Asia Pac J Public Health, 2015 Mar;27(2):NP1742-51.
    PMID: 22899706 DOI: 10.1177/1010539512455046
    The main objective of this cross-sectional comparative study is to observe the relationship between traffic-related air pollutants, particularly particulate matter (PM) of total suspended particulate (TSP) and PM of size 10 µm (PM10), and vehicle traffic in Amman, Jordan. Two study areas were chosen randomly as a high-polluted area (HPA) and low-polluted area (LPA). The findings indicate that TSP and PM10 were still significantly correlated with traffic count even after controlling for confounding factors (temperature, relative humidity, and wind speed): TSP, r = 0.726, P < .001; PM10, r = 0.719, P < .001). There was a significant positive relationship between traffic count and PM level: TSP, P < .001; PM10, P < .001. Moreover, there was a significant negative relationship between temperature and PM10 level (P = .018). Traffic volume contributed greatly to high concentrations of TSP and PM10 in areas with high traffic count, in addition to the effect of temperature.
    Matched MeSH terms: Motor Vehicles/statistics & numerical data*
  14. Fulltext Factors prognosticating the outcome of decompressive craniectomy in severe traumatic brain injury: A Malaysian experience
    Sharda P, Haspani S, Idris Z
    Asian J Neurosurg, 2014 Oct-Dec;9(4):203-12.
    PMID: 25685217 DOI: 10.4103/1793-5482.146605
    OBJECTIVE: The objective of this prospective cohort study was to analyse the characteristics of severe Traumatic Brain Injury (TBI) in a regional trauma centre Hospital Kuala Lumpur (HKL) along with its impact of various prognostic factors post Decompressive Craniectomy (DC).
    MATERIALS AND METHODS: Duration of the study was of 13 months in HKL. 110 consecutive patients undergoing DC and remained in our centre were recruited. They were then analysed categorically with standard analytical software.
    RESULTS: Age group have highest range between 12-30 category with male preponderance. Common mechanism of injury was motor vehicle accident involving motorcyclist. Univariate analysis showed statistically significant in referral area (P = 0.006). In clinical evaluation statistically significant was the motor score (P = 0.040), pupillary state (P = 0.010), blood pressure stability (P = 0.013) and evidence of Diabetes Insipidus (P < 0.001). In biochemical status the significant statistics included evidence of coagulopathy (P < 0.001), evidence of acidosis (P = 0.003) and evidence of hypoxia (P = 0.030). In Radiological sector, significant univariate analysis proved in location of the subdural clot (P < 0.010), location of the contusion (P = 0.045), site of existence of both type of clots (P = 0.031) and the evidence of edema (P = 0.041). The timing of injury was noted to be significant as well (P = 0.061). In the post operative care was, there were significance in the overall stability in intensive care (P < 0.001), the stability of blood pressure, cerebral perfusion pressure, pulse rates and oxygen saturation (all P < 0.001)seen individually, post operative ICP monitoring in the immediate (P = 0.002), within 24 hours (P < 0.001) and within 24-48 hours (P < 0.001) period, along with post operative pupillary size (P < 0.001) and motor score (P < 0.001). Post operatively, radiologically significant statistics included evidence of midline shift post operatively in the CT scan (P < 0.001). Multivariate logistic regression with stepwise likelihood ratio (LR) method concluded that hypoxia post operatively (P = 0.152), the unmaintained Cerebral Perfusion Pressure (CPP) (P = 0.007) and unstable blood pressure (BP) (P = <0.001). Poor outcome noted 10.2 times higher in post operative hypoxia [OR10.184; 95% CI: 0.424, 244.495]. Odds of having poor outcome if CPP unmaintained was 13.8 times higher [OR: 13.754; CI: 2.050, 92.301]. Highest predictor of poor outcome was the unstable BP, 32 times higher [OR 31.600; CI: 4.530, 220440].
    CONCLUSION: Our series represent both urban and rural population, noted to be the largest series in severe TBI in this region. Severe head injury accounts for significant proportion of neurosurgical admissions, resources with its impact on socio-economic concerns to a growing population like Malaysia. This study concludes that the predictors of outcome in severe TBI post DC were postoperative hypoxia, unmaintained cerebral perfusion pressure and unstable blood pressure as independent predictors of poor outcome. Key words: Decompressive craniectomy, prognostication of decompressive craniectomy, prognostication of severe head injury, prognostication of traumatic brain injury, severe head injury, severe traumatic brain injury, traumatic brain injury.
    KEYWORDS: Decompressive craniectomy; prognostication of decompressive craniectomy; prognostication of severe head injury; prognostication of traumatic brain injury; severe head injury; severe traumatic brain injury; traumatic brain injury
    Matched MeSH terms: Motor Vehicles
  15. Fulltext Buckling up in Singapore: residency and other risk factors for seatbelt non-compliance - a cross-sectional study based on trauma registry data
    Wong TH, Lim GH, Chow KY, Trauma Coordinators and Trauma Service Representatives, Zaw NN, Nguyen HV, et al.
    BMC Public Health, 2016 05 14;16:402.
    PMID: 27180046 DOI: 10.1186/s12889-016-3080-3
    BACKGROUND: Seatbelt non-compliance is a problem in middle income countries, and little is known about seatbelt compliance in populations with a high proportion of non-residents. This study analyses the profile of seatbelt non-compliance in Singapore based on trauma registry data from five of the six public hospitals.

    METHODS: This is a cross-sectional study of seatbelt compliance of patients aged over 18 years, attending the emergency departments of five public hospitals in Singapore after road collisions from 2011-2014. Seatbelt data was obtained from paramedic and patient history.

    RESULTS: There were 4,576 patients studied. Most were Singapore citizens (83.4 %) or permanent residents (2.4 %), with the largest non-resident groups from Malaysia, India, and China. Overall seatbelt compliance was 82.1 %. On univariate analysis, seatbelt compliance was higher in older patients (OR 1.02, 95 % CI 1.001-1.021, p 

    Matched MeSH terms: Motor Vehicles/statistics & numerical data
  16. Fulltext PHILOS Plate as a Fixation of Proximal Humeral Fracture: A Revisit
    Mohd Shaffid Md Shariff, Hanizah Ngadiron, Firdaus Hayati, Nornazirah Azizan, Affirul Chairil Ariffin
    Borneo Journal of Medical Sciences, 2019;13(2):39-43.
    MyJurnal
    Fracture is common after trauma. Proximal humeral fracture can occur in the elderly after fall and in youngsters after motor vehicle accidents (MVA) and sport injuries. A 37-year-old man was admitted with a fracture of his left proximal humerus following an MVA. He sustained a 3-part fracture and treated surgically using a PHILOS plate. There are few options in managing proximal humerus fracture ranging from conservative to surgical intervention based on its severity. We reminiscent the usage of PHILOS plate as a mode of treatment of such fracture.
    Matched MeSH terms: Motor Vehicles
  17. Fulltext Investigation of a Dengue Outbreak in Ibu Pejabat Kontigen (IPK) Kota Kinabalu, Sabah, 2017
    Lim, Carol Kai Joo
    Borneo Journal of Medical Sciences, 2018;12(101):41-42.
    MyJurnal
    Dengue is a viral infection caused by four types of viruses (DENV-1, DENV- 2, DENV-3, DENV-4) and transmitted through the bite of infected Aedes aegypti and Aedes albopictus female mosquitoes that feed both indoors and outdoors during the daytime (from dawn to dusk). These mosquitoes thrive in areas with standing water, including puddles, water tanks, containers and old tyres. There were a total of 35 dengue outbreaks under PKK KK with four active outbreaks in the year 2017. One uncontrolled outbreak occurred at Ibu Pejabat Kontigen (IPK) Kota Kinabalu from 16 November 2017 to 21 December 2017.
    Matched MeSH terms: Motor Vehicles
  18. Fulltext Fat embolism syndrome treated with methylprednisolone: a different perception or a misconception?
    Mohd Shaffid Md Shariff, Hanizah Ngadiron, Firdaus Hayati, Affirul Chairil Ariffin
    Borneo Journal of Medical Sciences, 2017;11(3):45-48.
    MyJurnal
    Fat embolism syndrome is manifested by the fat globule presence in the pulmonary and systemic circulation. A 34-year-old man was involved in a motor vehicle accident with a fracture of the left femur and avulsion fracture of the left posterior cruciate ligaments. He developed signs and symptoms that suggested an early diagnosis of fat embolism syndrome. Intravenous methylprednisolone administration was administered as part of the treatment. The role of methylprednisolone in a patient with fat embolism syndrome is controversial due to unproven effectiveness. In this case, fat embolism syndrome after a femur fracture was treated successfully with methylprednisolone.
    Matched MeSH terms: Motor Vehicles
  19. Pain Perception During the Phases of Manual Reduction of Distal End Radius Fracture With a Periosteal Block
    Wan Ali WAA, Soh EZF, Abdullah S, Narin Singh PSG, Ahmad AA, Sapuan J
    Cureus, 2021 Jan 13;13(1):e12691.
    PMID: 33604222 DOI: 10.7759/cureus.12691
    Introduction Closed reduction is an effective method of treatment for distal end radius fractures. We present a case series of patients with distal end radius fractures who underwent closed manipulative reduction using the periosteal block. We describe the technique in detail and examine its efficacy in pain lowering effect during closed reduction. Methods Nineteen patients with distal end radial and ulnar fractures were included and grouped based on the Frykman classification. The reduction was performed using a periosteal block of 10 ml of 2% lignocaine injection. The severity of pain was recorded by utilizing the visual analog scale (VAS) in five phases: 1) before injection, 2) after 15 minutes of analgesia in a resting position, 3) during minimal motion, 4) during full manipulation and reduction, and 5) post-procedure. The VAS scoring was classified as painless (VAS score of 0), mild pain (VAS score between 1-3), and painful (VAS score of 4 and above). Results The study included 19 patients [median age of 53 years (range: 18-88 years)]; there were 11 (58%) males and eight (42%) females. The mechanism of injury was a fall (n=12, 63%) or a motor vehicle accident (n=7, 37%). There was a statistically significant reduction of pain between phase one and all the other phases. Between the different fracture configurations, there was no significant difference in pain reduction. The most painful phase was expected to be phase four, ie, during full manipulation, in which four (21%) patients had a VAS score of 0, 12 (63%) patients had a VAS score between 1-3, and three (16%) patients had a VAS score of 4. Thus, 16 out of 19 patients (84%) had no or minimal pain during the most painful phase. There were no complications from the periosteal blocks. Conclusions The periosteal nerve block is an effective procedure providing satisfactory analgesia during the reduction of distal radial and ulnar fractures. It has no side effects and is free from complications associated with conventional sedation.
    Matched MeSH terms: Motor Vehicles
  20. Vehicular traffic noise prediction and propagation modelling using neural networks and geospatial information system
    Ahmed AA, Pradhan B
    Environ Monit Assess, 2019 Feb 26;191(3):190.
    PMID: 30809746 DOI: 10.1007/s10661-019-7333-3
    This study proposes a neural network (NN) model to predict and simulate the propagation of vehicular traffic noise in a dense residential area at the New Klang Valley Expressway (NKVE) in Shah Alam, Malaysia. The proposed model comprises of two main simulation steps: that is, the prediction of vehicular traffic noise using NN and the simulation of the propagation of traffic noise emission using a mathematical model. First, the NN model was developed with the following selected noise predictors: the number of motorbikes, the sum of vehicles, car ratio, heavy vehicle ratio (e.g. truck, lorry and bus), highway density and a light detection and ranging (LiDAR)-derived digital surface model (DSM). Subsequently, NN and its hyperparameters were optimised by a systematic optimisation procedure based on a grid search approach. The noise propagation model was then developed in a geographic information system (GIS) using five variables, namely road geometry, barriers, distance, interaction of air particles and weather parameters. The noise measurement was conducted continuously at 15-min intervals and the data were analysed by taking the minimum, maximum and average values recorded during the day. The measurement was performed four times a day (i.e. morning, afternoon, evening, and midnight) over two days of the week (i.e. Sunday and Monday). An optimal radial basis function NN was used with 17 hidden layers. The learning rate and momentum values were 0.05 and 0.9, respectively. Finally, the accuracy of the proposed method achieved 78.4% with less than 4.02 dB (A) error in noise prediction. Overall, the proposed models were found to be promising tools for traffic noise assessment in dense urban areas.
    Matched MeSH terms: Off-Road Motor Vehicles; Motor Vehicles
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