Previous studies have shown that carbamazepine-induced Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN) patients is associated with the HLA-B*1502 allele. Screening for HLA-B*1502 before using carbamazepine can prevent SJS/TEN particularly in populations with high frequency of the allele. The objective of this paper was to describe how the UKM Medical Centre, Malaysia was able to set up a cost effective screening of HLA-B*1502 for patients taking carbamazepine. The cost of in-house HLA-B⁄1502 screening was less than those commercially available, and was sensitive and specifi c.

Background: The aim of this study was to address the ability of the recovery locus of control scale (RLOC) and post-traumatic stress symptoms (PTSS) to predict physical functioning among stroke patients. In addition, the best predictors within the subdomains of the RLOC and PTSS were also investigated. Methods: A total of 147 stroke patients aged 33–85 years who had intact cognitive functioning were involved in the study. The Recovery Locus of Control Scale (RLOC), the Impact of Event Scale- Revised (IES-R), and the Barthel Index (ADL) were administered to respondents six weeks after stroke. Results: The results showed that the RLOC and PTSS were significant predictors and were capable of predicting 31% of the physical functioning of stroke patients (adjusted R2 = 0.31; P < 0.001). Furthermore, with respect to clinical factors, the affected lesion side contributed to predicting 7% of the physical functioning (R2 = 0.07; P < 0.001). A hierarchical regression analysis found that the internal recovery locus of control (IRLOC) was a predictor capable of explaining 18% of the predicted physical functioning (adjusted R2 = 0.18; P < 0.001). Meanwhile, avoidance was the most influential significant predictor among PTSS, contributing to 24% of the predicting physical functioning (adjusted R2 = 0.24; P < 0.001). Conclusion: In conclusion, the RLOC and PTSS were capable of predicting physical functioning among stroke patients.

Background: The HLA-B*15:02 polymorphism in epileptic patients is known to be associated with carbamazepine-induced Stevens-Johnson syndrome (SJS). The prevalence of HLA-B*15:02 polymorphism seemed to be ethnic-specific with a higher frequency of HLA-B*15:02 in Asian compared to the Europeans. This study was performed to determine the frequency of the HLA-B*15:02 polymorphism in epileptic patients at the Chancellor Tuanku Muhriz Hospital-UKM Medical Centre (HCTM-UKMMC) using high resolution melting-real time PCR (HRM-QPCR) method. Methods: We performed a fast and effective in-house high resolution melting-real time polymerase chain reaction method and compared it with the conventional multiplex-PCR method. The specificity and sensitivity of each test were also determined using DNA from saliva. Results: Using the conventional multiplex-PCR approach for screening, 25 out of 64 (39.1%) epileptic patients were positive for HLA-B*15:02. However, using the HRM-QPCR technique, 24/64 (37.5%) of the patients were positive. The one patient who tested positive by the multiplex-PCR but negative using the HRM-QPCR turned out to be negative by DNA sequencing. The HRM-QPCR and DNA sequencing showed 100% sensitivity and specificity. The multiplex-PCR showed 100% sensitivity and 98.4% specificity compared to both HRM-QPCR and DNA sequencing. The HRM-QPCR is also more cost-effective (<$16.40 USD/test) and less time-consuming when compared to the multiplex-PCR ($25.15 USD/test).Conclusion: Our result suggested that multiplex PCR, HRM-QPCR and Sanger sequencing can be used for detection of HLA-B*15:02. However, a qualitative method such as multiplex PCR should be confirmed with other quantitative methods such as HRM-QPCR and Sanger sequencing.

Background & Objectives: The National Institute of Health Stroke Scale (NIHSS) provides a valid and quick assessment of stroke severity in hyperacute stroke management. Stroke patients who are eligible for reperfusion therapy require prompt assessment. There is no validated Bahasa Malaysia (BM) version of the NIHSS that allows easier assessment by BM-speaking health professionals. This study aimed to translate and validate a BM version of the NIHSS. Methods: The English NIHSS was translated to BM, then back translated to ensure linguistic accuracy. We also adapted the language assessment of the NIHSS to be more culturally appropriate. Training and certification videos were downloaded from the NIH website and dubbed into BM. We determined intra-class correlation and unweighted kappa as the best measure of reliability. Median scores were used in the analysis for language items. Results: One hundred and one raters participated in the test-retest reliability study. Agreement between the original NIHSS and our translated version of the BM-NIHSS was good (ICC = 0.738, 95% CI: 0.611 to 0.823). Fair to moderate agreement was found on item-by-item analysis (unweighted κ=0.20-0.50) despite high observed agreement. Fifty patients participated in the language assessment arm. Scores were better in BM for reading, naming objects and repetition (Mdn = 100, p < 0.001). There was no difference in the median scores for the description component. Conclusions: The BM-NIHSS is a valid translation of the NIHSS, and may be used in clinical practice by BM-speaking healthcare professionals.

Background & Objectives: The reported incidence of post-stroke delirium varies substantially in current medical literature. The impact of delirium on mortality and morbidity is significant and there is need for sustained research on the topic. We aimed to determine the incidence, risk factors and outcome of delirium in acute ischaemic stroke. Methods: We conducted a cross-sectional observational study on consecutive patients with ischaemic stroke. The Confusion Assessment Method was used to diagnose delirium within seven days of stroke onset. Results: Two hundred and eighty patients were recruited (mean age 63.6 years) and 36 (12.9%) developed delirium. After adjustments for covariates, age >65 years (odds ratio, OR 5.2; 95% confidence interval 1.6-17.5); pre-existing dementia (6.5; 1.1-38.2); TACI (7.2; 1.5-35); and a National Institute of Health Stroke Scale of ≥10 (6.8; 1.7-26.4), were independently associated with a risk of developing delirium. Lacunar infarcts were not associated with delirium (0.07; 0.03-0.16). The majority of patients with delirium were cared for in a dedicated stroke unit but this proportion was not significant compared to those without delirium (69.4% vs 58.2%, p=0.20). Delirious patients had significantly higher in-patient mortality (8.3% vs 0%, p=0.002) and longer length of hospital stay (6.94 vs 3.98 days, p< 0.001). Conclusions: One in 8 patients with ischaemic stroke in our centre developed delirium. Older age, pre-existing dementia and severe stroke were independent predictors of delirium. Patients with lacunar infarcts did not develop delirium as often as those with other stroke types. Delirium significantly increased in-patient mortality and length of hospital stay.