METHODS: A cross-sectional study was conducted over six months on T2DM patients at a National University Hospital, Malaysia. Since Malaysia is a multiethnic country with majority Malay-speaking and English widely used, the Malay and English versions of the revised version Diabetes Quality of life (DQoL) questionnaire was used to measure HRQoL. Multiple Linear Regression was applied to estimate association of individual DQoL domains with T2DM-related complications, sociodemographic and clinical characteristics.
RESULTS: A total of 513 patients were recruited in the study. Sociodemographic (age, gender, ethnicity, employment, education) and body mass index affected satisfaction, impact and worry domains while complications affected the impact domain. Poorer HRQoL were demonstrated for severe stages heart failure (p = 0.001), nephropathy (p = 0.029), retinopathy (p
METHOD: In this study, the MNSI data were collected from the Epidemiology of Diabetes Interventions and Complications (EDIC) clinical trials. Two different datasets with different MNSI variable combinations based on the results from the eXtreme Gradient Boosting feature ranking technique were used to analyze the performance of eight different conventional ML algorithms.
RESULTS: The random forest (RF) classifier outperformed other ML models for both datasets. However, all ML models showed almost perfect reliability based on Kappa statistics and a high correlation between the predicted output and actual class of the EDIC patients when all six MNSI variables were considered as inputs.
CONCLUSIONS: This study suggests that the RF algorithm-based classifier using all MNSI variables can help to predict the DSPN severity which will help to enhance the medical facilities for diabetic patients.
Method: Field data collected during the COVID-19 outbreak in Selangor, Malaysia, up to 13 April 2020 were used, comprising socio-demographic characteristics, comorbidities and presenting symptoms of COVID-19 cases. ICU admission was determined from medical records. Multiple logistic regression analysis was performed to identify factors associated with ICU admission requiring intubation/mechanical ventilation among COVID-19 cases.
Results: A total of 1287 COVID-19-positive cases were included for analysis. The most common comorbidities were hypertension (15.5%) and diabetes (11.0%). More than one third of cases presented with fever (43.8%) or cough (37.1%). Of the 25 cases that required intubation/mechanical ventilation, 68.0% had hypertension, 88.0% had fever, 40.0% had dyspnoea and 44.0% were lethargic. Multivariate regression showed that cases that required intubation/mechanical ventilation had significantly higher odds of being older (aged 360 years) [adjusted odds ratio (aOR) = 3.9] and having hypertension (aOR = 5.7), fever (aOR = 9.8), dyspnoea (aOR = 9.6) or lethargy (aOR = 7.9) than cases that did not require intubation/mechanical ventilation.
Conclusion: The COVID-19 cases in Selangor, Malaysia requiring intubation/mechanical ventilation were significantly older, with a higher proportion of hypertension and symptoms of fever, dyspnoea and lethargy. These risk factors have been reported previously for severe COVID-19 cases, and highlight the role that ageing and underlying comorbidities play in severe outcomes to respiratory disease.
AIMS: To compare TEWL and skin hydration in patients with DM and controls, and to investigate associations between TEWL and skin hydration with glycated haemoglobin (HbA1c), fasting blood sugar (FBS), treatment, peripheral neuropathy (PN) and age in patients with diabetes.
METHODS: This was a prospective, case-control study carried out at a tertiary medical centre in Kuala Lumpur, Malaysia. TEWL and skin hydration measurements were taken at six different body sites in both groups.
RESULTS: In total, 146 patients (73 cases, 73 controls) were included (24 men and 49 women in each group). No significant difference in TEWL or skin hydration was seen between patients with DM and controls, but there were significant reductions in skin hydration in patients with DM who had FBS > 7 mmol/L (P 6.5% (P 1 U/kg/day (P 45 years old, there was a significant reduction in TEWL (P = 0.04) and hydration (P 8 mmol/L and increased in patients with higher insulin requirement.
METHODS: A set of 74 items based on a conceptual framework analysis underwent revision and its content validity was established. Items were grouped into three domains. A development study was conducted to establish evidence regarding their factorial structure. A construct validation study was then conducted in which the retained items were tested in an independent sample using confirmatory factor analysis (CFA).
RESULTS: Four factors emerged from our development study and were labelled as pre-travel preparation-insect bites, pre-travel preparation-consultation, insulin and glycaemic control and travel risk behaviour. A CFA confirmed the factorial structure identified in the development study in an independent sample. Each factor loading had a significant (P
METHODS AND ANALYSIS: This is a 1-year retrospective cohort study of patients with T2DM in 2016. Data will be collected from: (1) hospital databases from public institutions to estimate the cost of diabetes treatment and (2) physician interviews to estimate the cost of management of diabetes in outpatient care. We will perform descriptive and comparative analyses on direct medical costs and healthcare resource utilisation, stratified by the presence of diabetes-associated complications.
ETHICS AND DISSEMINATION: Research ethics board approval has been obtained from the Department of Health Single Joint Research Ethics Board and Cardinal Santos Medical Center Research Ethics Review Committee. Findings from the study will be reported in peer-reviewed scientific journals and local researcher meetings.
Objective: To assess the impact of pharmacist-supervised intervention on HRQoL of newly diagnosed diabetics using an Audit of Diabetes-Dependent Quality of Life (ADDQoL) questionnaire.
Materials and Methods: A pre-post comparison study was conducted among the control group (CG), test 1 group (T1G) and test 2 group (T2G) patients with three treatment arms to explore the impact of pharmacist-supervised intervention on HRQoL of newly diagnosed diabetics for 18 months. Patients' HRQoL scores were determined using ADDQoL questionnaire at baseline, 3, 6, 9 and 12-months. T1G patients received pharmacist's intervention whereas T2G patients received diabetic kit demonstration in addition to pharmacist's intervention. CG patients were deprived of pharmacist intervention and diabetic kit demonstration, and only received care from attending physician/nurses. Non-parametric tests were used to find the differences in an average weighted impact scores (AWIS) among the groups before and after the intervention at P ≤ 0.05.
Results: Friedman test identified significant (P < 0.001) improvement in AWIS among the test groups' patients. Differences in scores were significant between T1G and T2G at 6-months (P = 0.033), 9-months (P < 0.001) and 12-months (P < 0.001); between CG and T1G at 12-months (P < 0.001) and between CG and T2G at 9-months (P < 0.001) and 12-months (P < 0.0010) on Mann.Whitney U test.
Conclusion: Pharmacist's intervention improved AWIS of test groups' diabetics. Diabetic kit demonstration strengthened the disease understanding and selfcare skills of T2G patients. Disease and self-care awareness among diabetics should be increased in Nepali healthcare system by involving pharmacists for better patient's related outcomes.