METHOD: Deceased PWE from 2005 to 2020 were identified from the National Registry Department of Malaysia. The details of the cause of death and predictors for epilepsy-related deaths was ascertained from medical records and phone interviews.
RESULT: There were a total of 227 deaths, 144 (63.4%) were male, two (0.9%) underwent autopsy and 46.3% passed away in the community. The majority of deaths (55.5%) were due to causes unrelated to epilepsy. Forty-five (19.8%) death were related to epilepsy, of which, 22 (9.7%) were due to death directly related to epilepsy including probable SUDEP (5.3%) and status epilepticus (4.4%). The cause of death was unknown in 56 (24.7%) cases. Binary logistic regression analysis identified 3 predictors for epilepsy-related deaths, i.e., structural causes (OR 3.09, 95% CI 1.100-8.691, p = 0.032), younger age of death (OR 2.35, 95% CI 1.039-5.333, p = 0.040) and history of brain surgery (OR 8.09, 95% CI 2.014-32.510, p = 0.003). Twelve (5.3%) had probable SUDEP. The incidence rate of probable SUDEP was 0.42 per 1000 person-years. The majority of them had intellectual disability (9/12), generalized tonic-clonic seizures (9/12), and 2 or more ASMs (9/12).
CONCLUSION: Epilepsy-related deaths accounted for 20% of the deaths in PWE, associated with structural cause, younger age of death, and previous brain surgery. Probable SUDEP is not uncommon in Malaysia and could be under-diagnosed.
OBJECTIVE: Our study aimed to evaluate the discriminative and predictive ability of unimodal, bimodal, and multimodal approaches in a total of seven machine learning (ML) models-clinical, demographic, functional near-infrared spectroscopy (fNIRS), combinations of two unimodal models, as well as a combination of all three-for MDD.
METHODS: We recruited 65 adults with MDD and 68 matched healthy controls, who provided both sociodemographic and clinical information, and completed the HAM-D questionnaire. They were also subject to fNIRS measurement when participating in the verbal fluency task. Using the nested cross validation procedure, the classification performance of each ML model was evaluated based on the area under the receiver operating characteristic curve (ROC), balanced accuracy, sensitivity, and specificity.
RESULTS: The multimodal ML model was able to distinguish between depressed patients and healthy controls with the highest balanced accuracy of 87.98 ± 8.84% (AUC = 0.92; 95% CI (0.84-0.99) when compared with the uni- and bi-modal models.
CONCLUSIONS: Our multimodal ML model demonstrated the highest diagnostic accuracy for MDD. This reinforces the biological and clinical heterogeneity of MDD and highlights the potential of this model to improve MDD diagnosis rates. Furthermore, this model is cost-effective and clinically applicable enough to be established as a robust diagnostic system for MDD based on patients' biosignatures.
METHODS: A shared decision-making scale was developed using a qualitative research derived model and refined using Rasch and factor analysis. The scale was used by staff in the hospital for four consecutive years (n = 152, 121, 119 and 121) and by two independent patients' and carers' samples (n = 223 and 236).
RESULTS: Respondents had difficulty determining what constituted a decision and the scale was redeveloped after first use in patients and carers. The initial focus on shared decision-making was changed to shared problem-solving. Two factors were found in the first staff sample: shared problem-solving and shared decision-making. The structure was confirmed on the second patients' and carers' sample and an independent staff sample consisting of the first data-points for the last three years. The shared problem-solving and decision-making scale (SPSDM) demonstrated evidence of convergent and divergent validity, internal consistency, measurement invariance on longitudinal data and sensitivity to change.
CONCLUSIONS: Shared problem-solving was easier to measure than shared decision-making in this context.
PRACTICE IMPLICATIONS: Shared problem-solving is an important component of collaboration, as well as shared decision-making.
METHODS: A randomized trial was performed in a University hospital in Malaysia. Term women scheduled for labor induction, Bishop score ≤ 5, singleton, cephalic presentation, intact membrane, and reassuring pre-induction fetal heart rate tracing were recruited. Women with known gross fetal anomaly, allergy to latex and inability to consent or language difficulty were excluded. Participants were randomized to 16F, 22F, or 28F Foley catheter. Primary outcome was insertion failure and main secondary outcomes were insertion duration and pain (assessed by a Visual Numerical Rating Scale [VNRS] 0-10, higher score more pain). Analysis is done by analysis of variance (ANOVA), Kruskal-Wallis, and chi square test across the three arms and by t test and Mann-Whitney U test for pair wise comparisons.
RESULTS: One hundred twenty-seven participants' data were analyzed. The insertion failure 7/43(16%) versus 4/42(10%) versus 5/42(12%), p = 0.64, insertion duration median [IQR] 2.8 [1.8-4.8] versus 2.8 [1.7-3.7] versus 2.8 [1.7-4.3] min, p = 0.68 and insertion pain VNRS mean {SD} 4.2 {2.5} versus 3.4 {2.3} versus 3.6 {2.2}, p = 0.26, insertion to delivery interval 26.0 {9.7} versus 25.6 {9.1} versus 22.8 {7.4} h, p = 0.45, and spontaneous vaginal delivery 20/43 (45%) versus 23/42(55%) versus 25/42(60%), p = 0.48 for 16F versus 22F versus 28F arms, respectively. Pairwise comparisons were not different.
CONCLUSION: Foley catheter 16F versus 22F versus 28F resulted in similar digital insertion performance in the dorsal recumbent position for unripe cervix labor induction.
CLINICAL TRIAL REGISTRATION: https://doi.org/10.1186/ISRCTN21224268.
STUDY DESIGN: A randomised trial was performed in a University hospital, Malaysia from June 2020 to May 2021. 281 term nulliparas who were about to start pushing in the second stage of labour were randomised to combined perineal massage and warm compress or perineal massage alone to the perineum. Primary outcome was suturing for perineal injury (episiotomy or tear). The Chi-square test was used to analyse categorical data, Student t test to compare means and distributions for normally distributed continuous data and Mann Whitney U test for appropriate ordinal data.
RESULTS: Data from 277 participants (140 MassComp arm, 137 perineal massage alone arm) were analysed based on modified intention to treat basis. Perineal suturing rates were 133/140(95.0%) [MassComp] vs. 128/137(93.4%) [perineal massage alone] RR 1.02(95%CI 0.96-1.08), P = 0.615. Of the secondary outcomes, Likert scale response to recommend allocated treatment to a friend was 103/140(73.6%) vs. 84/137(61.3%) RR 1.20(95%CI 1.02-1.42)NNTb 9(95%CI 4.3-76.4) P = 0.029, participants' satisfaction with care (visual numerical rating scale 0-10) median [interquartile range] 6[6-8] vs. 6[5-8] P = 0.392, intervention to delivery intervals were 25[15-35] vs. 19[14-30] minutes P = 0.012, major perineal injury (episiotomy, second degree or higher tears) rates 116/140(82.9%) vs. 119/137(86.9%) RR 0.95(95%CI 0.86-1.05), P = 0.404, episiotomy rates 97/140(69.3%) vs. 97/140(70.8%) RR 0.98(95%CI 0.84-1.14), P = 0.795, and spontaneous vaginal delivery rates 103/140(73.6%) vs. 106/137(77.4%) RR 0.95(95%CI 0.83-1.09), P = 0.488 for MassComp vs. perineal massage alone respectively. Other maternal and neonatal outcomes were not significantly different.
CONCLUSION: Massage and warm compress during pushing did not decrease the likelihood of perineal injury requiring suturing in nulliparas when compared to perineal massage alone. Women were more likely to recommend massage and warm compress during pushing to a friend.
Experimental approach: The current study aims to develop biodegradable gelatine-based edible films incorporated with microcapsules of Clitoria ternatea-derived anthocyanins as a natural antimicrobial agent. The impact of incorporation of microcapsules with anthocyanins on the morphology, thermal, mechanical, water vapour barrier and physicochemical properties of the gelatine films was evaluated in this study. The effectiveness of the developed films against foodborne pathogens and their application for perishable food protection were also investigated.
Results and conclusions: The results show that incorporating anthocyanin microcapsules enhances the gelatine film physical and mechanical properties by increasing the thickness, tensile strength, Young's modulus and elongation at break of the films. Scanning electronic microscopy analysis revealed that the film surface morphology with anthocyanin microcapsules had a homogeneous and smooth surface texture compared to the control. The thermogravimetric analysis also showed a slight improvement in the thermal properties of the developed films. Agar well diffusion assay revealed that the developed films exhibit significant inhibition against a broad-spectrum of bacteria. Furthermore, the films composed of gelatine with anthocyanin microcapsules significantly reduced the total viable count of microorganisms in the bean curd during storage for 12 days compared with the control films.
Novelty and scientific contribution: Increasing global awareness of healthy and safe food with minimal synthetic ingredients as preservatives has sparked the search for the use of antimicrobial agents of natural origins in active food packaging material. In this study, a safe and effective active packaging film was developed using an environmentally friendly biopolymer, gelatine film incorporated with microcapsules of Clitoria ternatea-derived anthocyanins as a natural antimicrobial agent. This study demonstrated that such a method is not only able to improve the film physical properties but can also significantly prolong the shelf life of food products by protecting them from microbial spoilage.