METHOD: This is a single-center, single-dose, open-label, randomized, 2-treatment, 2-sequence and 2-period crossover study with a washout period of 7 days. Paracetamol/Orphenadrine tablets were administered after a 10-h fast. Blood samples for pharmacokinetic analysis were collected at scheduled time intervals prior to and up to 72 h after dosing. Blood samples were centrifuged, and separated plasma were kept frozen (- 15 °C to - 25 °C) until analysis. Plasma concentrations of orphenadrine and paracetamol were quantified using liquid-chromatography-tandem mass spectrometer using diphenhydramine as internal standard. The pharmacokinetic parameters AUC0-∞, AUC0-t and Cmax were determined using plasma concentration time profile for both preparations. Bioequivalence was assessed according to the ASEAN guideline acceptance criteria for bioequivalence which is the 90% confidence intervals of AUC0-∞, AUC0-t and Cmax ratio must be within the range of 80.00-125.00%.
RESULTS: There were 28 healthy subjects enrolled, and 27 subjects completed this trial. There were no significant differences observed between the AUC0-∞, AUC0-t and Cmax of both test and reference preparations in fasted condition. The 90% confidence intervals for the ratio of AUC0-t (100.92-111.27%), AUC0-∞ (96.94-108.08%) and Cmax (100.11-112.50%) for orphenadrine (n = 25); and AUC0-t (94.29-101.83%), AUC0-∞ (94.77-101.68%) and Cmax (87.12-101.20%) for paracetamol (n = 27) for test preparation over reference preparation were all within acceptable bioequivalence range of 80.00-125.00%.
CONCLUSION: The test preparation is bioequivalent to the reference preparation and can be used interchangeably.
TRIAL REGISTRATION: NMRR- 17-1266-36,001; registered and approved on 12 September 2017.
MATERIALS AND METHODS: We pooled data from 17 observational studies involving 1,699 patients treated with either CSII or non-CSII (including premixed and MDI) regimen. The study outcomes were the frequencies of hypoglycemia, hyperglycemia and/or ketosis. Given the lack of patient-level data, separate analyses for premixed and MDI regimen were not carried out.
RESULTS: The CSII-treated group (n = 203) was older (22.9 ± 6.9 vs 17.8 ± 4.0 years), and had longer diabetes duration (116.7 ± 66.5 vs 74.8 ± 59.2 months) and lower glycated hemoglobin (7.8 ± 1.1% vs 9.1 ± 2.0%) at baseline than the non-CSII-treated group (n = 1,496). The non-CSII-treated group had less non-severe hypoglycemia than the CSII-treated group (22%, 95% CI 13-34 vs 35%, 95% CI 17-55). Of the non-CSII-treated group, 7.1% (95% CI 5.8-8.5) developed severe hypoglycemia, but none from the CSII-treated group did. The non-CSII-treated group was more likely to develop hyperglycemia (12%, 95% CI 3-25 vs 8.8%, 95% CI 0-31) and ketosis (2.5%, 95% CI 1.0-4.6 vs 1.6%, 95% CI 0.1-4.7), and discontinue fasting (55%, 95% CI 34-76 vs 31%, 95% CI 9-60) than the CSII-treated group.
CONCLUSIONS: The CSII regimen had lower rates of severe hypoglycemia and hyperglycemia/ketosis, but a higher rate of non-severe hyperglycemia than premixed/MDI regimens. These suggest that appropriate patient selection with regular, supervised fine-tuning of the basal insulin rate with intensive glucose monitoring might mitigate the residual hypoglycemia risk during Ramadan.
METHODS: Participants were consented to answer a physician-administered questionnaire following Ramadan 2020. Impact of COVID-19 on the decision of fasting, intentions to fast and duration of Ramadan and Shawal fasting, hypoglycaemia and hyperglycaemia events were assessed. Specific analysis comparing age categories of <65 years and ≥65 years were performed.
RESULTS: Among the 5865 participants, 22.5% were ≥65 years old. Concern for COVID-19 affected fasting decision for 7.6% (≥65 years) vs 5.4% (<65 years). More participants ≥65 years old did not fast (28.8% vs 12.7%, <65 years). Of the 83.6%, participants fulfilling Ramadan-fasting, 94.8% fasted ≥15 days and 12.6% had to break fast due to diabetes-related illness. The average number of days fasting within and post-Ramadan were 27 and 6 days respectively, regardless of age. Hypoglycaemia and hyperglycaemia occurred in 15.7% and 16.3% of participants respectively, with 6.5% and 7.4% requiring hospital care respectively. SMBG was performed in 73.8% of participants and 43.5% received Ramadan-focused education.
CONCLUSION: During the COVID-19 pandemic, universally high rates of Ramadan-fasting were observed regardless of fasting risk level. Glycemic complications occurred frequently with older adults requiring higher rates of acute hospital care. Risk stratification is essential followed by pre-Ramadan interventions, Ramadan-focused diabetes education and self-monitoring to reduce and prevent complications, with particular emphasis in older adults.
OBJECTIVES: In this study, we aimed to investigate the effects of KH on the brain of MetS-induced rats.
METHODS: Forty male Wistar rats were divided into 5 groups; 8 weeks (C8) and 16 weeks control groups (C16), groups that received High-Carbohydrate High Fructose (HCHF) diet for 8 weeks (MS8) and 16 weeks (MS16), and a group that received HCHF for 16 weeks with KH supplemented for the last 35 days (KH).
RESULTS: Serum fasting blood glucose decreased in the KH group compared to the MS16 group. HDL levels were significantly decreased in MetS groups compared to control groups. Open field experiments showed that KH group exhibits less anxious behavior compared to the MetS group. Probe trial of Morris water maze demonstrated significant memory retention of KH group compared to the MS16 group. Nissl staining showed a significant decrease in the pyramidal hippocampal cells in the MS16 compared to the KH group.
CONCLUSION: KH has the ability to normalise blood glucose and reduce serum triglyceride and LDL levels in MetS rats, while behavior studies complement its effect on anxiety and memory. This shows a promising role of KH in attenuating neurodegenerative diseases through the antioxidant activity of its polyphenolic content.
Materials and Methods: A cross-sectional study was conducted at Hospital Universiti Sains Malaysia (Hospital USM), Health Campus, Kubang Kerian, Kelantan, Malaysia. Thirty newly diagnosed patients with PCOS attending gynecology clinic between July 2016 and April 2017 were recruited. Fasting venous blood samples were collected from the subjects. Serum AMH, insulin, adiponectin, triglycerides, high-density lipoprotein cholesterol (HDL-C), and plasma glucose levels were measured, and insulin resistance was calculated based on homeostasis model of assessment-insulin resistance (HOMA-IR). The serum AMH level was estimated, and the correlation of serum AMH level with the metabolic parameters was analyzed.
Results: The median of serum AMH levels in women with PCOS was 6.8 ng/mL (interquartile range: 7.38 ng/mL). There was a significant negative correlation between serum AMH and HOMA-IR or triglyceride levels (r = -0.49, P = 0.006 and r = -0.55, P = 0.002, respectively). A significant positive correlation was observed between serum AMH and serum HDL-C or serum adiponectin levels (r = 0.56, P = 0.001 and r = 0.44, P = 0.014, respectively) in all study subjects.
Conclusion: The serum AMH level is associated with HOMA-IR, triglycerides, HDL-C, and adiponectin levels, and hence it may be used as a potential cardiometabolic risk marker in women with PCOS.