Methods: Data from 160 hypertensive patients from a tertiary hospital in Kuala Lumpur, Malaysia, were used in this study. Variables were ranked based on their significance to adherence levels using the RF variable importance method. The backward elimination method was then performed using RF to obtain the variables significantly associated with the patients' adherence levels. RF, SVR and ANN models were developed to predict adherence using the identified significant variables. Visualizations of the relationships between hypertensive patients' adherence levels and variables were generated using SOM.

Result: Machine learning models constructed using the selected variables reported RMSE values of 1.42 for ANN, 1.53 for RF, and 1.55 for SVR. The accuracy of the dichotomised scores, calculated based on a percentage of correctly identified adherence values, was used as an additional model performance measure, resulting in accuracies of 65% (ANN), 78% (RF) and 79% (SVR), respectively. The Wilcoxon signed ranked test reported that there was no significant difference between the predictions of the machine learning models and the actual scores. The significant variables identified from the RF variable importance method were educational level, marital status, General Overuse, monthly income, and Specific Concern.

AIMS: To compare the efficacy of Gaviscon Advance (Reckitt Benckiser, UK) and a non-alginate antacid in post-supper suppression of the acid pocket and post-prandial reflux among obese participants.

METHOD: We performed a multi centerrandomized controlled trial involving three regional pediatricsurgical units. We included children who presented with umbilical granuloma from December 2018 to May 2020. Children who received treatment prior to index visit were excluded. They were randomly allocated to receive NaCl (twice/day application for 5 days by caregiver) or CuSO4 (single application by clinician). Demographic data, compliance in the NaCl group by pill counting method, treatment outcomes, and complications were recorded. Treatment success was defined as complete lesion resolution. Partial or no response was considered treatment failure. Subsequent treatment then reverted to the respective center's routine management.

RESULT: We recruited 70 participants with 6 dropouts (2 defaulters, 1 vitellointestinal duct, 3 urachal remnants), leaving 64 subjects for final analysis: 31 NaCl, 33 CuSO4. Compliance rate of 77.4% was recorded for NaCl, with 6 (20%) 'poor compliance' participants stopping therapy before completion owing to complete resolution. NaCl group had a significantly higher complete resolution rate (90.4%) compared to CuSO4 (69.7%), p = 0.040. No NaCl participant developed complications versus 9% (n = 3) in CuSO4 (periumbilical superficial skin burn).

CONCLUSION: Table salt is an ideal treatment choice for umbilical granuloma as it is effective, safe, and readily available.

OBJECTIVE: This study aimed to determine the diagnostic performance of nasal spIgE compared to NAC in order predict house dust mite (HDM) driven AR.

METHODS: A diagnostic cross-sectional study involving adult rhinitis patients was performed. Sensitization to HDM allergens (Dermatophagoides pteronyssinus (DP), Dermatophagoides farina (DF) were assessed serologically and/or skin prick test, nasal brushing and NAC. Patients with both positive systemic test and NAC were defined to have HDM driven AR, while patients with a positive systemic test and negative NAC were defined to have non-clinically relevant HDM sensitization. The performance of nasal spIgE to predict positive NAC was determined using the receiver operating curve. The chosen cut-off was then used to predict HDM driven AR among those with positive systemic test.

RESULTS: 118 patients (29.42 ± 9.32 years, 61.9% female) were included. Nasal spIgE was predictive of positive NAC (AUC 0.93, 95%CI: 0.88-0.98, p < 0.01). Among those with positive systemic test, the cut-off value of >0.14 kUA/L was able to predict HDM AR from incidental HDM sensitization with 92% sensitivity and 86% specificity.

METHODS: Out of the 44 healthy individuals screened, 31 (14 females; mean age: 28.4 ± 7.0 years) were enrolled and underwent GES using the standardized egg-white meal. All participants were randomly assigned to either 99mTc-SP or 99mTc-SC on the first GES session before crossed over to the other formulation after 2 weeks.

Materials and Methods: The questionnaire was first translated into the Malay language (RDAS-M). In this cross-sectional study, healthy married Malay women in Kota Bharu, Kelantan, were recruited from January to April 2018. Participants were asked to complete the RDAS-M that consists of three domains, that is, dyadic consensus, dyadic satisfaction, and dyadic cohesion with a total of 14 items. The concept, content, and construct validity using exploratory factor analysis (EFA) and reliability of the RDAS-M were assessed.

Results: Of the 164 recruited participants, 150 consented to participate. The mean age of the participants was 34.1 years (standard deviation [SD], 9.5 years), ranging from 20 to 57 years. All 14 items were considered comprehensible by more than 95% of the subjects. Based on EFA, total variance extracted was 69.08%, and the original three factors were retained. The Malay version of the RDAS was valid based on factor loadings for dyadic consensus, dyadic satisfaction, and dyadic cohesion, which ranged from 0.64 to 0.80, 0.79 to 0.98, and 0.37 to 0.78, respectively. The internal consistency was good with coefficient α of 0.87 for dyadic consensus, 0.93 for dyadic satisfaction, and 0.78 for dyadic cohesion.

METHODOLOGY: Consecutive Asian adults with Rome III diagnosed common FGIDs (functional dyspepsia/FD, IBS and functional constipation/FC) and non-FGID controls were subjected to glucose breath testing, with hydrogen (H2) and methane (CH4) levels determined.

RESULTS: A total of 244 participants (FGIDs n = 186, controls n = 58, median age 45 years, males 36%, Malay ethnicity 76%) were recruited. FGIDs had a higher prevalence trend of SIBO compared to controls (16% FGIDs vs. 10% controls, p = 0.278) with 14% in FD, 18% in IBS and 17% in FC. Compared to controls, SIBO was associated with diarrhoea-predominant IBS (IBS-D) (24% vs. 10%, P = 0.050) but not with other types of FGIDs. IBS-D remained an independent predictor of SIBO (OR = 2.864, 95% CI 1.160-7.071, p = 0.023) but not PPI usage nor history of diabetes (both p > 0.050) at multivariate analysis. Compared to controls, SIBO in IBS-D was associated with an elevated H2 level (≥ 20 ppm from baseline) (18% vs. 3%, p = 0.017), but not CH4 levels (≥ 10 ppm) (9% vs. 7%, p = 0.493). In addition, no difference was found in the prevalence of methane-positive SIBO between chronic constipation (constipation-predominant IBS and FC) compared to controls (9% vs. 7%, P = 0.466).

METHODS: A multi-center study of multi-ethnic Asian patients with IBS was conducted in two phases: (i) an initial cross-sectional gut microbiota composition study of IBS patients and healthy controls, followed by (ii) a single-arm 6-week dietary interventional study of the IBS patients alone, exploring clinical and gut microbiota changes.

RESULTS: A total of 34 adult IBS patients (IBS sub-types of IBS-D 44.1%, IBS-C 32.4%, and IBS-M 23.5%) and 15 healthy controls were recruited. A greater abundance of Parabacteroides species with lower levels of bacterial fermenters and short-chain fatty acids producers were found among IBS patients compared with healthy controls. Age and ethnicity were found to be associated with gut microbiota composition. Following a low FODMAP dietary intervention, symptom and quality of life improvement were observed in 24 (70.6%) IBS patients. Symptom improvement was associated with adherence to the low FODMAP diet (46.7% poor adherence vs 92.9% good adherence, P = 0.014), and gut microbiota patterns, particularly with a greater abundance of Bifidobacterium longum, Anaerotignum propionicum, and Blautia species post-intervention.

AIMS: We evaluated the performance of machine learning (ML) and non-patented scores for ruling out SF among NAFLD/MASLD patients.

METHODS: Twenty-one ML models were trained (N = 1153), tested (N = 283), and validated (N = 220) on clinical and biochemical parameters of histologically-proven NAFLD/MASLD patients (N = 1656) collected across 14 centres in 8 Asian countries. Their performance for detecting histological-SF (≥F2fibrosis) were evaluated with APRI, FIB4, NFS, BARD, and SAFE (NPV/F1-score as model-selection criteria).

RESULTS: Patients aged 47 years (median), 54.6% males, 73.7% with metabolic syndrome, and 32.9% with histological-SF were included in the study. Patients with SFvs.no-SF had higher age, aminotransferases, fasting plasma glucose, metabolic syndrome, uncontrolled diabetes, and NAFLD activity score (p  140) was next best in ruling out SF (NPV of 0.757, 0.724 and 0.827 in overall, test and validation set).