OBJECTIVE: To describe the pathological changes, identification and distribution of B. melitensis in foetuses of experimentally infected does.

METHODS: Twelve female goats of approximately 90 days pregnant were divided into 4 groups. Group 1 was exposed intra-conjunctival to 100 µL of sterile PBS while goats of Groups 2, 3 and 4 were similarly exposed to 100 µL of an inoculum containing 109 CFU/mL of live B. melitensis. Goats of these groups were killed at 15, 30 and 60 days post-inoculation, respectively. Foetal fluid and tissues were collected for bacterial identification (using direct bacterial culture, PCR and immuno-peroxidase staining) and histopathological examination.

RESULTS: Bilateral intra-conjunctival exposure of pregnant does resulted in in-utero infection of the foetuses. All full-term foetuses of group 4 were either aborted or stillborn, showing petechiations of the skin or absence of hair coat with subcutaneous oedema. The internal organs showed most severe lesions. Immune-peroxidase staining revealed antigen distribution in all organs that became most extensive in group 4. Brucella melitensis was successfully isolated from the stomach content, foetal fluid and various other organs.

METHOD: A retrospective analyses of 370 medical reports written for patients who sustained traumatic brain injury from motor vehicle accidents was conducted. To establish the employment pattern, the pre-injury employment history was compared to the latest employment status documented. Types and severity of concomitant injuries were rated according to Abbreviated Injury Scale criteria. All significant variables were further analyzed using logistic regression to explore predictors of employment.

RESULTS: Up to 87% of the patients sustained concomitant injuries, with more than two-thirds (72%) scoring ≤ 2 on the Abbreviated Injury Scale. One hundred and eighty-two patients (49.2%) successfully returned to work. Among those who returned to work, 34% returned to former employment with pre-injury job description. Severity of traumatic brain injury, length of acute hospital stay, ambulation status and cognitive status were found to be significant predictive factors for employment status post traumatic brain injury. Presence of concomitant extremity injuries was found to influence the employment pattern among traumatic brain injury survivors.

METHODS: This was a retrospective cross-sectional study conducted on specialist medical reports written from 2009 to 2019, involving patients who survived after TBI from RTA. The functional outcome was assessed using the Glasgow Outcome Scale-Extended (GOSE). Factors associated with good outcome were analysed via logistic regression analysis. Multivariate logistic regression analysis was used to derive the best fitting Prediction Model and split-sample cross-validation was performed to develop a prediction model.

RESULTS: A total of 1939 reports were evaluated. The mean age of the study participants was 32.4 ± 13.7 years. Most patients were male, less than 40, and with average post RTA of two years. Good outcome (GOSE score 7 & 8) was reported in 30.3% of the patients. Factors significantly affecting functional outcome include age, gender, ethnicity, marital status, education level, severity of brain injury, neurosurgical intervention, ICU admission, presence of inpatient complications, cognitive impairment, post-traumatic headache, post traumatic seizures, presence of significant behavioural issue; and residence post discharge (p<0.05). After adjusting for confounding factors, prediction model identified age less than 40, mild TBI, absence of post traumatic seizure, absence of behaviour issue, absence of cognitive impairment and independent living post TBI as significant predictors of good functional outcome post trauma. Discrimination of the model was acceptable (C-statistic, 0.67; p<0.001, 95% CI: 0.62-0.73).

OBJECTIVE: This study aimed to determine the effect of age on the protein profile of Malay individuals and its association with cognitive competency.

METHODS: A total of 160 individuals were recruited and grouped accordingly. Cognitive competency of each subject was assessed with several neuropsychological tests. Plasma samples were collected and analyzed with Q Exactive HF Orbitrap. Proteins were identified and quantitated with MaxQuant and further analyzed with Perseus to determine differentially expressed proteins. PANTHER, Reactome, and STRING were applied for bioinformatics output.

RESULTS: Our data showed that the Malay individuals are vulnerable to the deterioration of cognitive function with aging, and most of the proteins were differentially expressed in concordance. Several physiological components and pathways were shown to be involved, giving a hint of a promising interpretation on the induction of aging toward the state of the Malays' cognitive function. Nevertheless, some proteins have shown a considerable interaction with the generated protein network, which provides a direction of focus for further investigation.

METHODS: This cross-sectional observational study included 75 older adults who were at least 3 months poststroke and 50 age-matched healthy controls. Depressive symptoms were quantified using the World Health Organization Quality of Life Brief version (WHOQoL-BREF). Physical function was examined using Functional Ambulation Category, grip strength, 5 times Sit-to-Stand test, and Box and Block tests. The Montreal Cognitive Assessment and visual-manual reaction time were used to index cognitive function. Depressive symptom was quantified using the Patient Health Questionnaire-9. The Barthel Index and Fatigue Severity Scale were used to quantify activity limitation. Social participation and environmental participation were assessed using the Assessment of Life Habit and Craig Hospital Inventory of Environment Factors, respectively. Linear stepwise regression models were used to determine explanators for WHOQoL-BREF domain scores.

RESULTS: Individuals with stroke demonstrated significantly worse QoL on all WHOQoL-BREF domains compared with healthy controls. Stroke was a strong determinant for QoL and explained 16% to 43% of variances. Adding other outcome measures significantly improved the robustness of the models (R change = 12%-32%). The physical, psychological, social, and environmental domains of WHOQoL-BREF were all explained by the LIFE-H scores (β = -10.58, -3.37, 4.24, -5.35, respectively), while psychological, social, and environmental domains were explained by Montreal Cognitive Assessment scores (β = .47, 0.78, 0.54, respectively).

Methods: A cross-sectional study was conducted in a single center in Malaysia via recruiting care providers of patients with TBI. The modified caregiver strain index (MCSI) questionnaires were utilized to ascertain the level of strain. The demographic data of informal care providers were also obtained. Independent sample t-test, analysis of variance (ANOVA), and a linear regression model were processed for data analysis.

Results: A total of 140 informal care providers were included in the study. More than half of informal care providers claimed to have strain (54.3%). Factors associated with increased strain include receiving tertiary education, being of Chinese background, and employed experience higher strain level. Informal care providers with characteristics such as being single, retired and provided care for 5 years experienced a lower level of strain.