Displaying publications 21 - 40 of 208 in total

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  1. You HW, Abdul Rahman A, Hendri Dwisatrya LH
    Data Brief, 2020 Aug;31:105783.
    PMID: 32642504 DOI: 10.1016/j.dib.2020.105783
    Road traffic accidents have been recognised as a leading cause of death, and one of the prominent public health problems. The human factor, which is the driving behaviour in particular, is said to be the main cause. In line with this, the objective of this research is to present a data article on the response of driving behaviours among drivers. Driving behaviours have been classified into five dimensions, which are speeding, improper overtaking, mobile phone use while driving, tail-gating and disobeying traffic lights. A quantitative study was conducted with a sample size of 160 drivers consisting of residents in a suburban of Selangor, Malaysia. A stratified random sampling method was adopted to identify the respondents. Data analysis was presented in the form of descriptive statistics and tables. The findings show that the majority of respondents agreed that they have driving behaviours that involve improper overtaking, tail-gating and disobeying traffic lights.
    Matched MeSH terms: Cause of Death
  2. Tan YY, Yap PK, Xin Lim GL, Mehta M, Chan Y, Ng SW, et al.
    Chem Biol Interact, 2020 Sep 25;329:109221.
    PMID: 32768398 DOI: 10.1016/j.cbi.2020.109221
    Cancer continues to be one of the most challenging diseases to be treated and is one of the leading causes of deaths around the globe. Cancers account for 13% of all deaths each year, with cancer-related mortality expected to rise to 13.1 million by the year 2030. Although, we now have a large library of chemotherapeutic agents, the problem of non-selectivity remains the biggest drawback, as these substances are toxic not only to cancerous cells, but also to other healthy cells in the body. The limitations with chemotherapy and radiation have led to the discovery and development of novel strategies for safe and effective treatment strategies to manage the menace of cancer. Researchers have long justified and have shed light on the emergence of nanotechnology as a potential area for cancer therapy and diagnostics, whereby, nanomaterials are used primarily as nanocarriers or as delivery agents for anticancer drugs due to their tumor targeting properties. Furthermore, nanocarriers loaded with chemotherapeutic agents also overcome biological barriers such as renal and hepatic clearances, thus improving therapeutic efficacy with lowered morbidity. Theranostics, which is the combination of rationally designed nanomaterials with cancer-targeting moieties, along with protective polymers and imaging agents has become one of the core keywords in cancer research. In this review, we have highlighted the potential of various nanomaterials for their application in cancer therapy and imaging, including their current state and clinical prospects. Theranostics has successfully paved a path to a new era of drug design and development, in which nanomaterials and imaging contribute to a large variety of cancer therapies and provide a promising future in the effective management of various cancers. However, in order to meet the therapeutic needs, theranostic nanomaterials must be designed in such a way, that take into account the pharmacokinetic and pharmacodynamics properties of the drug for the development of effective carcinogenic therapy.
    Matched MeSH terms: Cause of Death
  3. Aniza, I., Syafrawati, Saperi, S., Zafar, M., Amrizal, M.N., Ika Fazura, M.N.
    MyJurnal
    Background: Cardiovascular disease is the number one cause of death globally and is projected to remain the leading cause of death. If the trend is allowed to continue, by 2015 an estimated 20 million people will die from cardiovascular disease (mainly because of myocardial infarction and strokes). The number of cardiovascular disease cases in Malaysia has increased to 14% in five years from 96,000 cases in 1995 to 110,000 cases in 2000.

    Methods: The cost to treat patients admitted to Universiti Kebangsaan Malaysia Medical Center (UKMMC) Malaysia, diagnosed with Acute Uncomplicated ST Elevated Myocardial Infarction (STEMI) was calculated by using two different methodologies, namely step down costing methodology and activity based costing using clinical pathway.

    Results: Cost for each stay per day at the cardiology ward using the step down methodology is RM596.42. The treatment cost is estimated from RM1, 789.26 to RM 4,771.36. The average cost per episode for STEMI care with the average length of stay for 5.6 days is RM3, 340(SD ±596.42. The cost of coronary PCI procedure in step costing is RM 13,950.00. Hence, the total cost incurs for STEMI with PCI is RM 17,290.00(SD ±596.42) by using step down method. (an average cost per episode is RM3,340, plus the cost of coronary procedure of RM 13,950.00 . However by using the ABC the cost of STEMI (PCI) with an average length of stay for 5.6 days is RM 20,431.39. The study showed the ABC method was higher by 15.3% than the step down costing.

    Conclusion: The cost in managing STEMI (PCI) with the average length of stay of 5.6 days was calculated by using two different methodologies, namely step down costing methodology and activity based costing. Cost of treatment calculated by using activity based costing are higher because all resources used are incorporated in detail. The ABC method was higher by 15.3% than the step down costing. The difference is within 80-20 rules and the biggest percentage of cost in both methodsis procedure or PCI cost.
    Matched MeSH terms: Cause of Death
  4. Zakaria N, Satar NA, Abu Halim NH, Ngalim SH, Yusoff NM, Lin J, et al.
    Front Oncol, 2017;7:80.
    PMID: 28529925 DOI: 10.3389/fonc.2017.00080
    Lung cancer is the most common cancer worldwide, accounting for 1.8 million new cases and 1.6 million deaths in 2012. Non-small cell lung cancer (NSCLC), which is one of two types of lung cancer, accounts for 85-90% of all lung cancers. Despite advances in therapy, lung cancer still remains a leading cause of death. Cancer relapse and dissemination after treatment indicates the existence of a niche of cancer cells that are not fully eradicated by current therapies. These chemoresistant populations of cancer cells are called cancer stem cells (CSCs) because they possess the self-renewal and differentiation capabilities similar to those of normal stem cells. Targeting the niche of CSCs in combination with chemotherapy might provide a promising strategy to eradicate these cells. Thus, understanding the characteristics of CSCs has become a focus of studies of NSCLC therapies.
    Matched MeSH terms: Cause of Death
  5. Mahamad Arif ANF, Syed Alwee Al'aidrus SS, Shafee MS, Mohd Nor F
    Malays J Pathol, 2021 Aug;43(2):303-310.
    PMID: 34448794
    Death-in-custody refers to the occurrence of death, while a person is under the custody of any enforcement agency. Their incidence often creates overwhelming public and media attention. Currently, there is no standardised definition of 'death-in-custody' in Malaysia and internationally. A crosssectional descriptive study was performed in the Department of Forensic Medicine Hospital Tuanku Ja'afar Seremban (HTJS) for a period of 24 months. Information on all custodial deaths registered at HTJS from January 2001 till December 2015 was selected from the in-house hospital death registration system. The definition of 'death-in-custody' used was guided by the recommendation by the 'Australian Royal Commission into Aboriginal Deaths in Custody' 1991 with few adjustments. Four custodial settings of interest (the police, prison, immigration depot for the illegal immigrant, and army custody) were studied. A total of 172 deaths-in-custody were collected, in which the majority of cases were natural deaths (84.88%), predominantly infective in nature (65.07%). Less than 1/6th of cases were unnatural deaths with more than 80% died from legal intervention. All custodial deaths were dominated by males (96.51%) with a mean and median age of 37 years. In terms of nationality, 52.91% of the deaths involved Malaysian citizens in which the 'Malay/Bumi' race outnumbered the other two main races. The most documented custodial deaths occurred in prison (44.19%) followed by immigration depots (38.37%) and police lock-ups (17.44%). This study provides a general overview of the pattern including the causes and the demographic profile involving death in custody in the Seremban district registered at HTJS.
    Matched MeSH terms: Cause of Death
  6. Khaw WF, Chan YM, Nasaruddin NH, Alias N, Tan L, Ganapathy SS
    BMC Public Health, 2023 Jul 18;23(1):1383.
    PMID: 37464344 DOI: 10.1186/s12889-023-16309-z
    BACKGROUND: In Malaysia, the previous mortality burden has been a significant concern, particularly due to the high prevalence of noncommunicable diseases (NCDs) as the leading cause of death. Estimates of mortality are key indicators for monitoring population health and determining priorities in health policies and health planning. The aim of this study was to estimate the disease burden attributed to 113 major diseases and injuries in Malaysia in 2018 using years of life lost (YLL) method.

    METHODS: This study included all deaths that occurred in Malaysia in 2018. The YLL was derived by adding the number of deaths from 113 specific diseases and multiplying it by the remaining life expectancy for that age and sex group. Data on life expectancy and mortality were collected from the Department of Statistics Malaysia.

    RESULTS: In 2018, there were 3.5 million YLL in Malaysia. Group II (NCDs) caused 72.2% of total YLL. Ischaemic heart disease was the leading cause of premature mortality among Malaysians (17.7%), followed by lower respiratory infections (9.7%), road traffic injuries (8.7%), cerebrovascular disease (stroke) (8.0%), and diabetes mellitus (3.9%).

    CONCLUSIONS: NCDs are a significant health concern in Malaysia and are the primary contributor to the overall burden of disease. These results are important in guiding the national health systems on how to design and implement effective interventions for NCDs, as well as how to prioritise and allocate healthcare resources. Key strategies to consider include implementing health promotion campaigns, adopting integrated care models, and implementing policy and regulatory measures. These approaches aim to enhance health outcomes and the managements of NCDs in Malaysia.

    Matched MeSH terms: Cause of Death
  7. Chang CT, Lee PY, Cheah WL
    Malays J Med Sci, 2012 Apr;19(2):27-34.
    PMID: 22973135 MyJurnal
    Background: Coronary heart disease (CHD) was the second leading cause of death in Malaysia in 2006. CHD has known risk factors including hypertension, diabetes mellitus, and obesity.
    Methods: This cross-sectional study examined the prevalence of cardiovascular risk factors among 260 participants aged 20 to 65 years in a rural community in Sarawak.
    Results: The prevalences of overweight and obesity in this study were 39.6% and 11.9%, respectively. Approximately 13% of participants had hypertension, and 1.5% had a random blood sugar greater than 11.1 mmol/L. Chi-square tests showed significant associations between obesity and gender (P = 0.007), low high-density lipoprotein cholesterol and race (P = 0.05), high total cholesterol and age (P = 0.007), age and hypertension (P = 0.011), smoking and gender (P < 0.001), and smoking and income (P = 0.050). Age-adjusted logistic regression showed that women were 0.246 times more likely to be obese, that older participants (> 45 years) were 0.395 times more likely to have high cholesterol and that those with a higher monthly household income (> RM830) were 2.471 times more likely to smoke.
    Conclusion: These findings indicate that we should be concerned about the high rates of overweight in this rural community to prevent obesity.
    Study site: 8 villages, Serian district, Sarawak, Malaysia
    Keywords: adult; cardiovascular diseases; epidemiology; obesity; prevalence; risk factors.
    Matched MeSH terms: Cause of Death
  8. Bhupinder S, Kumara TK, Syed AM
    Malays J Pathol, 2010 Dec;32(2):81-6.
    PMID: 21329178 MyJurnal
    This article describes the homicide pattern in Penang Island, Malaysia over a three-year period (2007-2009). 65 homicide autopsies were performed at the Department of Forensic Medicine, Penang Hospital over the study period. The homicide rates ranged from 0.01 to 0.09/1000 population, the highest being in the Indian ethnic group. The majority (37%) of victims were in the 20-39 years age group. The male: female ratio was 3:1. The majority of deaths were caused by blunt instruments (46%), followed by stab/slash wounds (25%) and asphyxiation (12%). 63% of homicides occurred in areas served by the police stations at Jalan Patani (23.1%), Sg. Nibong (16.9%), Central (12.3%) and Bayan Lepas (10.9%). 56 (86%) victims were brought in dead to the hospital, while 9 (14%) died after admission. Most (39%) incidences occurred in the morning. The methods of homicide were different from Kuala Lumpur, another highly urbanised area of Malaysia.
    Matched MeSH terms: Cause of Death*
  9. Frisch AS, Kallen DJ, Griffore RJ, Dolanski EA
    J Biosoc Sci, 1992 Apr;24(2):175-83.
    PMID: 1583032
    This study used path analysis to assess the chances of survival of babies in a neonatal intensive care unit in Lansing, Michigan, USA. Two paths to neonatal survival were identified and the variables accounted for 20% of the variance in gestational age. The first path showed that prior infant losses were negatively correlated with gestational age while in the second path, gestational age showed negative relationships with pre-pregnancy weight and household job worries.
    Matched MeSH terms: Cause of Death*
  10. Krishnan R
    World Health Forum, 1992;13(2-3):163-4.
    PMID: 1418328
    Matched MeSH terms: Cause of Death*
  11. Omar A, Ganapathy SS, Anuar MFM, Khoo YY, Jeevananthan C, Maria Awaluddin S, et al.
    BMC Public Health, 2019 Jan 24;19(1):110.
    PMID: 30678685 DOI: 10.1186/s12889-018-6384-7
    BACKGROUND: Mortality indicators are essential for monitoring population health. Although Malaysia has a functional death registration system, the quality of information on causes of death still needs improvement, since approximately 30% of deaths are classified to poorly defined causes. This study was conducted to verify registered causes in a sample of deaths in 2013 and utilise the findings to estimate cause-specific mortality indicators for Malaysia in 2013.

    METHODS: This is a cross-sectional study involving a nationally representative sample of 14,497 deaths distributed across 19 districts. Registered causes of deaths were verified using standard medical record review protocols for hospital deaths, and locally adapted international standard verbal autopsy procedures for deaths outside hospitals. The findings were used to measure the validity and reliability of the registration data, as well as to establish plausible cause-specific mortality fractions for hospital and non-hospital deaths, which were subsequently used as the basis for estimating national cause-specific mortality indicators.

    RESULTS: The overall response rate for the study was 67%. Verified causes of 5041 hospital deaths and 3724 deaths outside hospitals were used to derive national mortality estimates for 2013 by age, sex and cause. The study was able to reclassify most of the ill-defined deaths to a specific cause. The leading causes of deaths for males were Ischaemic Heart Disease (15.4%), Cerebrovascular diseases (13.7%), Chronic Obstructive Pulmonary Disease (8.5%) and Road Traffic Accident (8.0%). Among females, the leading causes were Cerebrovascular diseases (18.3%), Ischaemic Heart Disease (12.7%), Lower Respiratory Infections (11.5%) and Diabetes Mellitus (7.2%).

    CONCLUSIONS: Investigation of registered causes of death using verbal autopsy and medical record review yielded adequate information to enable estimation of cause-specific mortality indicators in Malaysia. Strengthening the national mortality statistics system must be made a priority as it is a core data source for policy and evaluation of the public health and healthcare sectors in Malaysia.
    Matched MeSH terms: Cause of Death*
  12. Flaherty GT, Caumes E
    J Travel Med, 2018 01 01;25(1).
    PMID: 29635642 DOI: 10.1093/jtm/tay019
    Background: Traumatic deaths, and more particularly suicides, during international travel receive a disproportionately low level of attention in the travel medicine literature. We describe the demographic profile of international travellers whose death occurred at the Cliffs of Moher along the Atlantic seaboard in Ireland.

    Methods: Coroners' files for the 25 years between 1993 and 2017 were interrogated. All cases of death on or at the cliffs were examined, and demographic data were extracted, including date of death, gender, age, nationality, whether the victims were alone at the cliffs prior to their death, whether the fall was witnessed, prevailing weather conditions, post-mortem examinations, toxicology reports and inquest verdicts.

    Results: Overall, 66 deaths occurred on or at the base of the Cliffs of Moher during the period 1993 through August 2017. In total, 18 (27.3%) of the victims were international visitors to Ireland, including 11 males (61.1%). The mean age of travellers (n = 17) was 34.2 years. Victims were nationals of 12 different countries, with 13 being European nationals. Most deaths occurred in summer (n = 7) or spring (n = 6), with eight deaths (44%) reported at weekends. In total, 15 victims (83.3%) had walked along the cliff path alone. A jump or fall from the cliffs was witnessed in only two cases (11.1%). Post-mortem examinations revealed multiple traumatic injuries consistent with a fall from a height. Four cases had evidence of alcohol intoxication. Suicide or open verdicts were returned in 50% (n = 9) of the cases.

    Conclusions: Travelling alone to the site, purchasing one-way tickets, or depositing belongings on the clifftop support the possibility of suicidal intent, while being intoxicated could be a co-factor in suicidal jumps or support the possibility of an accidental fall. This knowledge could help to identify travellers at the greatest risk of death at cliffs.

    Matched MeSH terms: Cause of Death/trends*
  13. Mujtaba G, Shuib L, Raj RG, Rajandram R, Shaikh K, Al-Garadi MA
    J Biomed Inform, 2018 06;82:88-105.
    PMID: 29738820 DOI: 10.1016/j.jbi.2018.04.013
    Text categorization has been used extensively in recent years to classify plain-text clinical reports. This study employs text categorization techniques for the classification of open narrative forensic autopsy reports. One of the key steps in text classification is document representation. In document representation, a clinical report is transformed into a format that is suitable for classification. The traditional document representation technique for text categorization is the bag-of-words (BoW) technique. In this study, the traditional BoW technique is ineffective in classifying forensic autopsy reports because it merely extracts frequent but discriminative features from clinical reports. Moreover, this technique fails to capture word inversion, as well as word-level synonymy and polysemy, when classifying autopsy reports. Hence, the BoW technique suffers from low accuracy and low robustness unless it is improved with contextual and application-specific information. To overcome the aforementioned limitations of the BoW technique, this research aims to develop an effective conceptual graph-based document representation (CGDR) technique to classify 1500 forensic autopsy reports from four (4) manners of death (MoD) and sixteen (16) causes of death (CoD). Term-based and Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT) based conceptual features were extracted and represented through graphs. These features were then used to train a two-level text classifier. The first level classifier was responsible for predicting MoD. In addition, the second level classifier was responsible for predicting CoD using the proposed conceptual graph-based document representation technique. To demonstrate the significance of the proposed technique, its results were compared with those of six (6) state-of-the-art document representation techniques. Lastly, this study compared the effects of one-level classification and two-level classification on the experimental results. The experimental results indicated that the CGDR technique achieved 12% to 15% improvement in accuracy compared with fully automated document representation baseline techniques. Moreover, two-level classification obtained better results compared with one-level classification. The promising results of the proposed conceptual graph-based document representation technique suggest that pathologists can adopt the proposed system as their basis for second opinion, thereby supporting them in effectively determining CoD.
    Matched MeSH terms: Cause of Death*
  14. Mujtaba G, Shuib L, Raj RG, Rajandram R, Shaikh K, Al-Garadi MA
    PLoS One, 2017;12(2):e0170242.
    PMID: 28166263 DOI: 10.1371/journal.pone.0170242
    OBJECTIVES: Widespread implementation of electronic databases has improved the accessibility of plaintext clinical information for supplementary use. Numerous machine learning techniques, such as supervised machine learning approaches or ontology-based approaches, have been employed to obtain useful information from plaintext clinical data. This study proposes an automatic multi-class classification system to predict accident-related causes of death from plaintext autopsy reports through expert-driven feature selection with supervised automatic text classification decision models.

    METHODS: Accident-related autopsy reports were obtained from one of the largest hospital in Kuala Lumpur. These reports belong to nine different accident-related causes of death. Master feature vector was prepared by extracting features from the collected autopsy reports by using unigram with lexical categorization. This master feature vector was used to detect cause of death [according to internal classification of disease version 10 (ICD-10) classification system] through five automated feature selection schemes, proposed expert-driven approach, five subset sizes of features, and five machine learning classifiers. Model performance was evaluated using precisionM, recallM, F-measureM, accuracy, and area under ROC curve. Four baselines were used to compare the results with the proposed system.

    RESULTS: Random forest and J48 decision models parameterized using expert-driven feature selection yielded the highest evaluation measure approaching (85% to 90%) for most metrics by using a feature subset size of 30. The proposed system also showed approximately 14% to 16% improvement in the overall accuracy compared with the existing techniques and four baselines.

    CONCLUSION: The proposed system is feasible and practical to use for automatic classification of ICD-10-related cause of death from autopsy reports. The proposed system assists pathologists to accurately and rapidly determine underlying cause of death based on autopsy findings. Furthermore, the proposed expert-driven feature selection approach and the findings are generally applicable to other kinds of plaintext clinical reports.

    Matched MeSH terms: Cause of Death*
  15. Tan GC, Hayati AR, Khong TY
    Pediatr Dev Pathol, 2010 Sep-Oct;13(5):362-8.
    PMID: 20367214 DOI: 10.2350/09-03-0623-OA.1
    Our objectives were to determine the perinatal autopsy rate in a tertiary hospital in Malaysia and to quantify the value of the perinatal autopsy. All stillbirths, miscarriages, therapeutic abortions, and neonatal deaths between January 1, 2004, and August 31, 2009, were identified from the archives. The autopsy findings were compared with the clinical diagnoses. The autopsy reports were also reviewed to determine if it would be possible to improve the quality of the autopsies. There were 807 perinatal deaths, of which 36 (4.5%) included an autopsy. There were ethnic differences in the rate of autopsy, with the lowest rate among the Malays. The autopsy provided the diagnosis, changed the clinical diagnosis, or revealed additional findings in 58.3% of cases. Ancillary testing, such as microbiology, chromosomal analysis, and biochemistry, could improve the quality of the autopsy. This study provides further data on the perinatal autopsy rate from an emerging and developing country. It reaffirms the value of the perinatal autopsy. Attempts must be made to improve on the low autopsy rate while recognizing that the performance of autopsies can be enhanced through the use of ancillary testing.
    Matched MeSH terms: Cause of Death*
  16. Ansari AW, Kamarulzaman A, Schmidt RE
    Front Immunol, 2013;4:312.
    PMID: 24109479 DOI: 10.3389/fimmu.2013.00312
    Active tuberculosis remains the leading cause of death among the HIV-1 seropositive individuals. Although significant success has been achieved in bringing down the number of HIV/AIDS-related mortality and morbidity following implementation of highly active anti-retroviral therapy (HAART). Yet, co-infection of Mycobacterium tuberculosis (Mtb) has posed severe clinical and preventive challenges in our efforts to eradicate the virus from the body. Both HIV-1 and Mtb commonly infect macrophages and trigger production of host inflammatory mediators that subsequently regulate the immune response and disease pathogenesis. These inflammatory mediators can impose beneficial or detrimental effects on each pathogen and eventually on host. Among these, inflammatory C-C chemokines play a central role in HIV-1 and Mtb pathogenesis. However, their role in lung-specific mechanisms of HIV-1 and Mtb interaction are poorly understood. In this review we highlight current view on the role of C-C chemokines, more precisely CCL2, on HIV-1: Mtb interaction, potential mechanisms of action and adverse clinical consequences in a setting HIV-1/Mtb co-infection. Targeting common chemokine regulators of HIV-1/Mtb pathogenesis can be an attractive and potential anti-inflammatory intervention in HIV/AIDS-related comorbidities.
    Matched MeSH terms: Cause of Death
  17. Hoy DG, Rao C, Hoa NP, Suhardi S, Lwin AM
    Int J Stroke, 2013 Oct;8 Suppl A100:21-7.
    PMID: 23013164 DOI: 10.1111/j.1747-4949.2012.00903.x
    Stroke is a leading cause of death in Asia; however, many estimates of stroke mortality are based on epidemiological models rather than empirical data. Since 2005, initiatives have been undertaken in a number of Asian countries to strengthen and analyse vital registration data. This has increased the availability of empirical data on stroke mortality.
    Matched MeSH terms: Cause of Death
  18. Norzailin AB, Noor Azman S, Mohd Helmee MN, Khairul Anuar Z
    Med J Malaysia, 2016 02;71(1):1-7.
    PMID: 27130735
    OBJECTIVE: The purpose of the study was to determine the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of post mortem computed tomography (PMCT) in detecting liver and splenic injuries due to road traffic accidents.

    MATERIAL & METHOD: 61 road traffic accidental death cases underwent both PMCT and conventional autopsy. The imaging findings were compared to the conventional autopsy findings.

    RESULT: The sensitivity, specificity, PPV and NPV for liver injuries in PMCT was 71%, 82%, 68% and 85% while that of splenic injuries was 73%, 80%, 55% and 90% respectively. The accuracy of PMCT scan was 79% for both liver and splenic injuries. There is strong association between lower left ribs fracture and splenic injury (p=0.005) and significant association between positive liver and splenic PMCT finding and intraabdominal fatal injury (p=0.037).

    CONCLUSION: In conclusion PMCT has high specificity and NPV for liver and splenic injuries; however the sensitivity and PPV are low. The overall accuracy is not high enough to enable PMCT to be used as a replacement for conventional autopsy; however it is a useful complementary examination and has potential to be used as decision making tool for selective internal autopsy.

    Matched MeSH terms: Cause of Death
  19. Khalin I, Jamari NL, Razak NB, Hasain ZB, Nor MA, Zainudin MH, et al.
    Neural Regen Res, 2016 Apr;11(4):630-5.
    PMID: 27212925 DOI: 10.4103/1673-5374.180749
    Traumatic brain injury (TBI) is a leading cause of death and disability in individuals worldwide. Producing a clinically relevant TBI model in small-sized animals remains fairly challenging. For good screening of potential therapeutics, which are effective in the treatment of TBI, animal models of TBI should be established and standardized. In this study, we established mouse models of closed head injury using the Shohami weight-drop method with some modifications concerning cognitive deficiency assessment and provided a detailed description of the severe TBI animal model. We found that 250 g falling weight from 2 cm height produced severe closed head injury in C57BL/6 male mice. Cognitive disorders in mice with severe closed head injury could be detected using passive avoidance test on day 7 after injury. Findings from this study indicate that weight-drop injury animal models are suitable for further screening of brain neuroprotectants and potentially are similar to those seen in human TBI.
    Matched MeSH terms: Cause of Death
  20. Lim TM, Naidu RR
    Med J Malaysia, 2001 Jun;56(2):240-2.
    PMID: 11771087
    This is a retrospective study of the annual mortality that occurred in the Department of Surgery, Alor Setar Hospital, for the years 1995 to 1997. This study looks at the number of admissions to the surgical wards and categorizes the causes of death. The annual mortality rates were 2.60, 2.89 and 3.25 per hundred admissions for the year 1995, 1996 and 1997 respectively. Head injury was the leading cause of death whilst sepsis and advanced malignancies second and third commonest causes. We hope that with the publication of these figures, we can initiate more studies to analyse similar local data.
    Matched MeSH terms: Cause of Death
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