METHODS: The pre- and post-operative CT images of 55 patients undergoing DC surgery were analyzed. The ICV was measured by segmenting every slice of the CT images, and compared with estimated ICV calculated using the 1-in-10 sampling strategy and processed using the SBI method. An independent t test was conducted to compare the ICV measurements between the two different methods. The calculation using this method was repeated three times for reliability analysis using the intraclass correlations coefficient (ICC). The Bland-Altman plot was used to measure agreement between the methods for both pre- and post-operative ICV measurements.
RESULTS: The mean ICV (±SD) were 1341.1±122.1ml (manual) and 1344.11±122.6ml (SBI) for the preoperative CT data. The mean ICV (±SD) were 1396.4±132.4ml (manual) and 1400.53±132.1ml (SBI) for the post-operative CT data. No significant difference was found in ICV measurements using the manual and the SBI methods (p=.983 for pre-op, and p=.960 for post-op). The intrarater ICC showed a significant correlation; ICC=1.00. The Bland-Altman plot showed good agreement between the manual and the SBI method.
CONCLUSION: The shape-based interpolation method with 1-in-10 sampling strategy gave comparable results in estimating ICV compared to manual segmentation. Thus, this method could be used in clinical settings for rapid, reliable and repeatable ICV estimations.
AIM: We here aimed to find out the frequency of BRAFV600E mutation in a series of Malaysian patients with brain tumors and if any association exists between BRAFV600E mutation and clinicopathological features of patients.
MATERIAL AND METHODS: Fresh frozen tumor tissue samples from 50 Malaysian brain tumor patients were analyzed for BRAFV600E mutational status, and its correlation with clinicopathological features (including age, gender, and tumor localization such as intra-axial: within the brain substance or extra-axial: outside the brain substance) was examined.
RESULTS: The overall BRAFV600E mutation frequency was determined to be 22% (in 11 of 50 patients). BRAFV600E was significantly correlated with the tumor location group, which shows BRAFV600E was more frequent in the intra-axial tumor than the extra-axial tumor group. In this study, we also observed that male patients were slightly more susceptible to BRAFV600E mutation, and this mutation was predominant in patients of the age group
METHODS: This was a randomized controlled trial at 2 centers. A total of 78 patients requiring DC were randomized in a 1:1:1 ratio into 3 groups: vacuum drains (VD), passive drains (PD), and no drains (ND). Complications studied were need for surgical revision, SGH amount, new remote hematomas, postcraniectomy hydrocephalus (PCH), functional outcomes, and mortality.
RESULTS: Only 1 VD patient required surgical revision to evacuate SGH. There was no difference in SGH thickness and volume among the 3 drain types (P = 0.171 and P = 0.320, respectively). Rate of new remote hematoma and PCH was not significantly different (P = 0.647 and P = 0.083, respectively), but the ND group did not have any patient with PCH. In the subgroup analysis of 49 patients with traumatic brain injury, the SGH amount of the PD and ND group was significantly higher than that of the VD group. However, these higher amounts did not translate as a significant risk factor for poor functional outcome or mortality. VD may have better functional outcome and mortality.
CONCLUSIONS: In terms of complication rates, VD, PD, and ND may be used safely in DC. A higher amount of SGH was not associated with poorer outcomes. Further studies are needed to clarify the advantage of VD regarding functional outcome and mortality, and if ND reduces PCH rates.
MATERIALS AND METHODS: We evaluated simple statistics and published model-based approaches. Multiplex-qPCR was conducted to determine the expression of 24 candidate RG in AMLs (N=9). Singleplex-qPCR was carried out on selected RG (SRP14, B2M and ATP5B) and genes of interest in AML (N=15) and healthy controls, HC (N=12).
RESULTS: RG expression levels in AML samples were highly variable and coefficient of variance (CV) ranged from 0.37% to 10.17%. Analysis using GeNorm and Normfinder listed different orders of most stable genes but the top seven (ACTB, UBE2D2, B2M, NF45, RPL37A, GK, QARS) were the same. In singleplex-qPCR, SRP14 maintained the lowest CV in AML samples. B2M, one of most stable reference genes in AML, was expressed near significantly different in AML and HC. GeNorm selected ATP5B+SRP14 while Normfinder chose SRP14+B2M as the best two RG in combination. The median expressions of combined RG genes in AML compared to HC were less significantly different than individually implying smaller expression variation after combination. Genes of interest normalised with RG in combination or individually, displayed significantly different expression patterns.
CONCLUSIONS: The selection of best reference gene in qPCR must consider all sample sets. Model-based approaches are important in large candidate gene analysis. This study showed combination of RG SRP14+B2M was the most suitable normalisation factor for qPCR analysis of AML and healthy individuals.
METHODS: A total of 20 PWUK and 20 age matched non-kratom using healthy controls were recruited. Data collected from PWUK included patterns of kratom use, severity of kratom dependence, and severity of depressive symptoms during abstinence from kratom. The mRNA expression of binding immunoglobulin protein ( BiP ), X-box binding protein 1, activating transcription factor 4, and C/-EBP homologous protein ( CHOP ) (major indicators of ER stress response) were analyzed using quantitative reverse transcription polymerase chain reaction in leucocyte-derived total RNA sample of the participants.
RESULTS: PWUK regardless of their pattern of kratom use recorded significantly higher expression of BiP mRNA compared with controls. Expression of CHOP mRNA was only significantly higher in those who first consumed kratom at the age of 18 years and above and those who have been using kratom for longer than 6 years, compared with controls. Higher expression of BiP , ATF4 , and CHOP mRNA were significantly positive correlated with greater severity of kratom dependence. Although only higher expression of BiP and CHOP mRNA were significantly positively correlated with greater severity of depressive symptoms.
CONCLUSIONS: Regular kratom consumption may activate the ER stress pathway and there may be a link between altered ER stress response and kratom dependence and kratom induced depressive symptoms.
METHODS: A cross-sectional study was conducted over 6 months in the two main tertiary centres for CAH patients in Malaysia. Participants including 59 female-raised CAH patients (mean age ± SD = 16.3 ± 4.2 years, range 10-28 years) compared to 57 age-matched female diabetic patients (mean age ± SD = 16.5 ± 3.4 years, range 10-26 years). Socio-demographic and medical profiles was obtained through semi-structured interviews. HRQOL of participants were evaluated utilising validated, Malay translated questionnaires which were age appropriate: Pediatric Quality of Life Inventory (PedsQL v4.0) scales for Child (8-12) and Adolescent (13-18) and Medical Outcome Survey 36-item Short Form version. These were then compared to the diabetic controls.
RESULTS: The CAH participants consisted of children (ages 10-12 years, n = 12), adolescents (ages 13-17 years, n = 29) and adults (≥ 18 years, n = 18). The majority were Malays (64.4%) and had salt-wasting CAH (67.8%). There were no significant differences between the total mean score of the HRQOL of the combined children and adolescents CAH group (total mean score ± SD = 81.6 ± 17.9, 95% CI = 75.6-87.6) when compared to age-matched diabetic patients (total mean score ± SD = 80.8 ± 11.0, 95% CI = 77.0-84.5, P = 0.81, effect size = 0.05); no significant difference between the adult CAH and diabetic controls in the physical [median score (IQR) CAH vs diabetics; 49.3 (11.4) vs. 50.2 (6.1), P = 0.60, effect size = 0.09] and the mental composite scores [median score (IQR) CAH vs. diabetics; 47.8 (14.1) vs. 50.0 (10.8), P = 0.93, effect size = 0.01].
CONCLUSIONS: The HRQOL of the Malaysian CAH cohort were comparable to the diabetic controls.
OBJECTIVE: The present study aimed to measure the agreement between BAT and immunoassay in diagnosis of penicillin allergy.
METHOD: BAT was performed using penicillin G (Pen G), penicillin V (Pen V), penicilloyl-polylysine (PPL), minor determinant mix (MDM), amoxicillin (Amx) and ampicillin (Amp) in 25 patients. Immunoassay of total IgE (tIgE) and specific IgE (sIgE) antibodies to Pen G, Pen V, Amx and Amp were quantified. Skin prick test (SPT) using PPL-MDM, Amx, Amp and Clavulanic acid were also performed.
RESULTS: Minimal agreement was observed between BAT and immunoassay (k=0.25). Of two BAT-positive patients, one patient is positive to Amx (59.27%, SI=59) and Amp (82.32%, SI=82) but sIgE-negative to all drug tested. This patient is also SPT-positive to both drugs. Another patient is BAT-positive to Pen G (10.18%, SI=40), Pen V (25.07%, SI=100) and Amp (19.52%, SI=79). In sIgE immunoassay, four patients were sIgE-positive to at least one of the drugs tested. The sIgE level of three patients was between low and moderate and they were BAT-negative. One BAT-positive patient had a high level of sIgE antibodies (3.50-17.5kU/L) along with relatively high specific to total IgE ratio ≥0.002 (0.004-0.007).
CONCLUSIONS: The agreement between BAT and immunoassay is minimal. Performing both tests provides little increase in the sensitivity of allergy diagnosis work-up for immediate reactions to penicillin.