Hemichorea, a hyperkinetic disorder characterized by involuntary, rapid, irregular movements on one side of the body, typically originates from cortical basal ganglia involvement, particularly the striatum. We present a 63-year-old Filipino female with poor glycemic control and known idiopathic myelofibrosis exhibiting chorea-ballism movements in the right distal and proximal extremities. Significant improvement in involuntary movements was observed upon optimal glycemic control and benzodiazepine therapy. This report underscores the noteworthy presentation of uncontrolled hyperglycemia in type 2 diabetes, while highlighting the potential contribution of myelofibrosis.

Introduction: Current education on diabetes self-management is time-consuming as it is conducted face-to-face. This study aimed to evaluate the effectiveness of diabetes education via mobile application on hemoglobin A1c (HbA1c). Methodology: This was a double-blinded randomized controlled study conducted in the Department of Endocrinology, Hospital Pulau Pinang and Hospital Raja Permaisuri Bainun. Participants were stratified randomized according to HbA1c to intervention group (using T-Manis) and control group. The primary objective was to assess the difference in HbA1c between the groups. Secondary objectives were to assess the difference in body weight, hospitalization related to diabetes, diabetes knowledge between groups and usability and satisfaction of T-Manis. Laboratory investigations and questionnaires were conducted at baseline, 4 months and 8 months. Results: A total of 112 participants were randomized into two groups each with 56 participants. Mean age was 51 years with similar diabetes duration of 16 years in both groups. Participants comprised of 61.6% females with ethnic distribution of 49.1% Malay, 30.4% Chinese, 19.6% Indian and 0.9% Siamese. Baseline HbA1c levels were comparable between intervention and control groups (10.04% versus 9.91%; mean difference 0.13%; 95% CI −0.56 to 0.81; p = 0.718). At 4 months, HbA1c of the intervention group demonstrated a significant reduction compared to the control group (8.93% versus 9.80%; mean difference −0.86; 95% CI −1.59 to −0.14; p = 0.02). Sustained reduction of HbA1c in the intervention group was observed at 8 months (mean difference −1.01; 95% CI −1.85 to −0.16; p = 0.02). Baseline body weight was 77 kg, with no betweengroup differences in body weight, hospitalization related to diabetes and diabetes knowledge scores, although diabetes knowledge scores improved at 4 months in the intervention group. 89.3% of participants reported satisfaction with T-Manis Conclusion The T-Manis mobile application aided in significantly improving glycemic control with high user satisfaction, supporting its feasibility as an adjunct to standard diabetes care.
Diabetes Mellitus, Type 2 ; Glycemic Control ; Mobile Applications ; Pangolins

Introduction: Diabetes mellitus (DM) is a significant comorbidity associated with adverse tuberculosis (TB) treatment outcomes and remains an ongoing clinical challenge. Chronic hyperglycemia impairs host immune responses, particularly macrophage function, leading to delayed bacillary clearance. This contributes to poorer outcomes, including delayed sputum conversion, prolonged treatment duration, relapse, and increased mortality. Poor glycemic control is a key modifiable factor influencing these outcomes. This study aimed to evaluate the impact of glycemic control at diagnosis on TB treatment outcomes in a Malaysian cohort. Methodology: A retrospective cross-sectional audit was conducted using the TB clinic registry at Hospital Sungai Buloh from 2022 to 2025. Adult patients (≥18 years) with confirmed TB (any form) and DM (Type 1 or Type 2) with complete records were included. Of 241 patients screened, 131 were included after exclusions due to incomplete records (29.9%), transfer (29.9%), loss to follow-up (19.9%), and drug-resistant TB (2.9%). Data collected included demographics, hemoglobin A1c (HbA1c) at diagnosis, sputum conversion duration, treatment duration, type of DM therapy, and clinical outcomes. Results: The cohort had a mean age of 53 years, with 97% having Type 2 DM. Mean HbA1c at diagnosis was 10.5%. Poorer glycemic control was associated with delayed sputum conversion. Patients who achieved sputum conversion by 8 weeks had an average HbA1c of 9.6%, compared to 11.8% in those with delayed conversion. Longer treatment duration was associated with higher HbA1c (mean 10.5, 8.6, and 11.8% for 6-, 12-, and 18-month regimens, respectively). Relapse analysis demonstrated a trend towards higher HbA1c with increasing relapse episodes (11.2, 13.75, and 14.5% for one, two, and three relapses, respectively). Overall mortality was 17% (22/131), with markedly higher mean HbA1c in deceased patients compared to survivors (16.0% vs 10.5%). Conclusion Poor glycemic control at TB diagnosis is associated with delayed sputum conversion, prolonged treatment duration, and increased mortality. These findings are consistent with regional evidence, including a South Asian systematic review (Gautam et al., 2021), demonstrating higher mortality and treatment failure in patients with TB and DM. Early and aggressive optimization of glycemic control, alongside standard anti-TB therapy, is essential to improve outcomes.
Humans ; Glycemic Control ; Retrospective Studies ; Diabetes Mellitus ; Treatment Outcome ; Tuberculosis

Introduction: Insulin deintensification is an emerging strategy to reduce hypoglycemia and treatment burden in patients on multiple daily injection (MDI ≥3), with potential to improve adherence and glycemic control. However, evidence in poorly controlled type 2 diabetes mellitus (T2DM) remains limited. This study evaluated its effectiveness and identified factors associated with achieving adequate glycemic control following deintensification among patients with poorly controlled T2DM attending Malaysian primary care. Methodology: A retrospective cohort study was conducted among 107 T2DM patients with hemoglobin A1c (HbA1c) >9%, attending Enhanced Diabetic Clinic at Cheras Health Clinic between 2021 and 2025. All patients on basal-bolus insulin (BBI) underwent deintensification. Multivariate logistic regression was performed to identify factors associated with achieving adequate glycemic control (HbA1c <7.5%). Changes in HbA1c following deintensification were assessed using paired t-tests. Results: Overall, 50.5% of patients achieved adequate glycemic control. Hypoglycemia events (AOR 9.5, 95% confidence interval [CI] 1.6–58.3; p = 0.015), MDI (AOR 9.6, 95% CI 1.4–67.1; p = 0.023) and Diabetes Medication Therapy Adherence Clinic (DMTAC) visits (AOR 1.1, 95% CI 1.0– 1.2; p = 0.039) were significantly associated with achieving HbA1c <7.5%. Conversely, patients transitioned from BBI to premixed regimens were less likely to achieve HbA1c <7.5% (AOR 0.22, 95% CI 0.05–0.93, p = 0.039). All insulin deintensification strategies were associated with significant HbA1c improvements with transitioned from BBI to premixed human insulin (mean difference -2.54%, 95% CI 1.77–3.31, p <0.001, Cohen’s d = 1.09), BBI to premixed analogue insulin (mean difference -3.38%, 95% CI 2.26– 4.49, p <0.001, Cohen’s d = 1.62), BBI to basal insulin (mean difference -3.67%, 95% CI 1.79–5.54, p = 0.004, Cohen’s d = 2.05). Conclusion Insulin deintensification is an effective strategy for improving glycemic control in poorly controlled T2DM. These findings highlight the importance of deintensification with careful consideration of hypoglycemia, MDI-related treatment burden, and patient engagement through regular DMTAC visits, which are integral to achieving optimal outcomes and support a personalized approach to diabetes management in primary care.
Diabetes Mellitus, Type 2 ; Glycemic Control ; Retrospective Studies ; Primary Health Care ; Insulins

Introduction: Improving glycemic control while minimizing unnecessary insulin exposure is an important goal in diabetes management. The Rapid Optimization Clinic (ROC) was established as a structured multidisciplinary service to support therapy individualization, close follow-up, and timely insulin deintensification. This audit evaluated early changes in glycated hemoglobin A1c (HbA1c) and insulin treatment burden following ROC care over 3 months. Methodology: We conducted a retrospective audit of routine clinical data from patients with diabetes managed in the ROC at a district hospital. Baseline and 3-month HbA1c and insulin data were extracted from non-electronic clinic records. Insulin dose was standardized as total daily dose (TDD) in units/kg/day. Insulin deintensification was evaluated primarily by change in TDD from baseline to 3 months and by the proportion of patients who discontinued insulin during follow-up. Paired analyses were performed for patients with complete baseline and follow-up data for each outcome. Continuous variables are presented as mean ± standard deviation or median with interquartile range, as appropriate. Exploratory analyses were undertaken to assess whether available patient factors were associated with HbA1c improvement. Results: Twenty-three patients were included. Paired HbA1c data were available for 12 patients, whereas paired TDD data were available for 21 patients. Mean HbA1c decreased from 10.78 ± 2.59% at baseline to 8.42 ± 2.29% at 3 months, representing a mean reduction of 2.36 percentage points (95% confidence interval [CI] 0.09–4.62; p = 0.043). Mean TDD decreased from 0.434 ± 0.248 to 0.286 ± 0.313 units/kg/day, corresponding to a mean reduction of 0.148 units/kg/day (95% CI 0.077–0.219; p <0.001). Insulin was discontinued in 9 of 21 patients (42.9%). No clear association was observed between HbA1c improvement and age, sex, or number of visits. Interpretation is limited by the small sample size, reflecting the early phase of a newly established clinic. Conclusion In this early audit, ROC care was associated with clinically meaningful improvement in glycemic control and significant insulin deintensification over 3 months. These findings support the potential role of a structured multidisciplinary optimization clinic in delivering individualized diabetes care and facilitating safe reduction of insulin burden.
Humans ; Glycemic Control ; Retrospective Studies ; Diabetes Mellitus ; Insulins

Introduction: Severe hypertriglyceridemia, though rare in pregnancy, is a clinically significant condition that poses substantial maternal and perinatal risks. Case: We present a case of a 42-year-old pregnant female with class I obesity and pre-existing type 2 diabetes mellitus, with a booking hemoglobin A1c 12.1%. Her poorly controlled diabetes was complicated by nephrotic syndrome, with a 24-hour urine protein 4.9 g/day. She also had bilateral diabetic retinopathies requiring multiple sessions of panretinal photocoagulation. Throughout the pregnancy, her triglycerides rose progressively, peaking at 30 mmol/L by 33 weeks. Investigations revealed normal thyroid function, urea 4.8 mmol/L, creatinine 66 umol/L, and albumin 26 g/dL. The patient was hospitalized at 33 weeks of gestation and started on an intravenous insulin infusion along with a very low-fat, low-carbohydrate diet prescribed by a dietitian. Pulmonary embolism was diagnosed during evaluation for maternal tachycardia, and subcutaneous enoxaparin was initiated. One week after admission in 35 weeks of gestation, the baby was delivered via emergency Caesarean section due to fetal distress. The baby was small for gestational age, with a birth weight of 1.9 kg, below the 10th percentile for gestational age, and required admission to the neonatal intensive care unit with oxygen support for pneumonia-related respiratory distress. Post-delivery, intravenous insulin infusion and dietary control were continued, reducing her triglyceride level to the lowest level of 8.3 mmol/L. Both mother and baby were discharged well. Lipid-lowering agents such as rosuvastatin and fenofibrate were started after breastfeeding stopped, aiming to normalize her triglyceride levels. Conclusion Hypertriglyceridemia in this patient was the result of uncontrolled diabetes mellitus with nephrotic-range proteinuria. Severe hypertriglyceridemia can cause acute pancreatitis and/or hyperviscosity syndrome, both of which are life-threatening to the mother and baby. Thus, rapid reduction of triglyceride levels is crucial. This case highlights the importance of achieving good diabetes control prior to pregnancy, with strict adherence to treatment and enhanced patient education.
Female ; Pregnancy ; Glycemic Control ; Hypertriglyceridemia

OBJECTIVE: This study aimed to investigate the impact of glycemic control and diabetes duration on subsequent myocardial infarction (MI) in patients with both coronary heart disease (CHD) and type 2 diabetes (T2D). METHODS: We conducted a retrospective cohort study of 33,238 patients with both CHD and T2D in Shenzhen, China. Patients were categorized into 6 groups based on baseline fasting plasma glucose (FPG) levels and diabetes duration (from the date of diabetes diagnosis to the baseline date) to examine their combined effects on subsequent MI. Cox proportional hazards regression models were used, with further stratification by age, sex, and comorbidities to assess potential interactions. RESULTS: Over a median follow-up of 2.4 years, 2,110 patients experienced MI. Compared to those with optimal glycemic control (FPG < 6.1 mmol/L) and shorter diabetes duration (< 10 years), the fully-adjusted hazard ratio ( HR) (95% Confidence Interval [95% CI]) for those with a diabetes duration of ≥ 10 years and FPG > 8.0 mmol/L was 1.93 (95% CI: 1.59, 2.36). The combined effects of FPG and diabetes duration on MI were largely similar across different age, sex, and comorbidity groups, although the excess risk of MI associated with long-term diabetes appeared to be more pronounced among those with atrial fibrillation. CONCLUSION Our study indicates that glycemic control and diabetes duration significant influence the subsequent occurrence of MI in patients with both CHD and T2D. Tailored management strategies emphasizing strict glycemic control may be particularly beneficial for patients with longer diabetes duration and atrial fibrillation.
Humans ; Diabetes Mellitus, Type 2/blood* ; Male ; Female ; Middle Aged ; Aged ; Coronary Disease/complications* ; Myocardial Infarction/etiology* ; Retrospective Studies ; China/epidemiology* ; Glycemic Control ; Blood Glucose ; Adult ; Risk Factors ; Time Factors

OBJECTIVES

The study aimed to validate the Bisaya translation of the Insulin Treatment Appraisal Scale (ITAS), which measures Psychological Insulin Resistance (PIR), and to investigate the association between PIR and glycemic control as measured by the HbA1c among persons with type 2 diabetes mellitus
(T2DM) at a private clinic in Surigao City.

Phase 1 involved linguistic validation of the ITAS. Fifty insulin-naive and fifty insulin-using patients with T2DM participated. Phase 2 utilized a cross-sectional study design involving 390 participants who answered the validated Bisaya translation and submitted demographic and clinical data.

For Phase 1, results showed good validity and reliability of the Bisaya translation (Cronbach’s alpha 0.95). For Phase 2, the median age was 59 years old and the median HbA1c was 8.8 % with only 2.31% having controlled T2DM. The association between PIR and glycemic control was found to be
statistically significant (adjusted OR 0.07, 95% CI 0.01 – 0.73, p-value = 0.026).

The Bisaya translation of the ITAS had good validity and reliability. There was a statistically significant association between PIR and glycemic control. The high prevalence of uncontrolled diabetes and PIR in the study population underscores the need for better diabetes management in Surigao City.

BACKGROUND

There is an increasing population of elderly patients with diabetes. Malnutrition has been associated to higher morbidity and mortality among these patients. Currently, there are limited data on malnutrition and its risk factors among elderly patients with diabetes in the Philippines.

This study determined the prevalence, clinical profile and risk factors associated with malnutrition and identify the association of malnutrition with glycemic status and insulin resistance among elderly patients with diabetes.

This is a cross-sectional study involving 117 elderly patients with diabetes seen at a tertiary hospital in Manila, Philippines. Demographic, anthropometric, and clinical data were collected. Mini-Nutritional Assessment-Short form (MNA-SF), Simple FRAIL questionnaire and Mini-cog assessment were administered. Patients were categorized into normal, at risk for malnutrition, and malnourished using the MNA-SF. Comparative and logistic regression analyses were performed to identify the clinical profile and possible risk factors.

The prevalence of malnutrition was 1.71% with 29.06% at risk for malnutrition. There was no significant difference in demographic, anthropometric and biochemical parameters between the different nutrition statuses. High BMI, central obesity, and increased insulin resistance were observed across all nutrition status. Frail patients had almost five times increased likelihood (OR=4.94, p=0.043) of developing malnutrition. Good glycemic control had two-fold decreased likelihood (OR=0.44, p=0.050) of malnutrition. Insulin resistance was not associated with malnutrition.

Malnutrition is prevalent among elderly patients with diabetes. Frailty and poor glycemic control increased the risk of malnutrition. Therefore, malnutrition screening should be routinely performed among these patients. Diabetes management among elderly patients should include maintaining good glycemic control and preventing frailty and its complications.

Objective: To determine the efficacy of metformin and insulin in the management of gestational diabetes mellitus (GDM). Methodology: Randomized controlled trials (RCT) were retrieved from the databases. All references cited in the articles were also searched by hand to identify additional publications. Studies included were limited to trials on metformin and insulin in the management of GDM in singleton pregnancies. Four RCTs were analyzed in the study. The risk of bias was assessed using Preferred Reporting Items for Systematic reviews and Meta-Analyses Cochrane Collaboration’s tool (Rob 2). Random effects meta-analysis was carried out to pool the data. All analyses were conducted in Review Manager 5.3.5 (2014). Results: Meta-analysis of four RCT involving 807 participants (405 were treated with metformin and 402 were treated with insulin) shows that there was no significant difference between metformin and insulin in achieving glycemic control as to fasting blood sugar (FBS), postprandial blood glucose (PPBG), and glycosylated hemoglobin, mean difference (MD) −0.43 (95% confidence interval [CI] −2.77–1.91; P = 0.72), MD −2.13 (95% CI −5.16–0.90, P = 0.17), MD −0.09 (95% CI −0.20–0.02, P = 0.10), respectively. For maternal outcomes, there was a statistically significant 69% decreased risk of hypoglycemia in the metformin group (risk ratio [RR] 0.31, 95% CI 0.20–0.49; P < 0.001). There was no difference in terms of risk of preterm birth (RR 1.11, 95% CI 0.75–1.64, P = 0.60); hypertensive disorders (RR 1.06, 95% CI 0.71–1.60, P = 0.77); polyhydramnios (RR 1.04, 95% CI 0.51–2.14, P = 0.91); and risk of cesarean delivery (RR 0.90, 95% CI 0.75–1.08, P = 0.27). For neonatal outcomes, there was statistically significant 34% reduction on the risk of neonatal hypoglycemia (RR 0.66, 95% CI 0.46–0.94; P = 0.02) in the metformin group. There was no statistical difference in terms of mean birthweight (MD − 81.34, 95% CI −181.69–19.02, P = 0.11). Metformin has decreased the risk of newborns weighing more than 4000 g, babies with birthweight >90th percentile by 27% (RR 0.73, 95% CI 0.28–1.90, P = 0.52), and 20% (RR 0.80, 95% CI 0.54–1.18,P = 0.26), respectively, but these were not statistically significant. There was no significant difference in terms of risk of birthweight <10th percentile (RR 1.17, 95% CI 0.60–2.31, P = 0.65); APGAR <7 (RR 1.17, 95% CI 0.65–2.08, P = 0.60), birth trauma (RR 0.77, 95% CI 0.23–2.58, P = 0.67), and jaundice requiring phototherapy RR 1.04, 95% CI 0.66–1.65, P = 0.85). Neonatal intensive care unit admission (RR 0.89, 95% CI 0.64–1.23, P = 0.48), respiratory distress syndrome (RR 0.73, 95% CI 0.36–1.50, P = 0.39), transient tachypnea (RR 0.78, 95% CI 0.27–2.19, P = 0.63), and any congenital anomaly (RR 0.58, 95% CI 0.20–1.67, P = 0.31) were decreased in the metformin group but was not statistically significant. Conclusion There was no significant difference between metformin and insulin in achieving glycemic control as to FBS and PPBG among patients with GDM. There was a statistically significant reduction in the risk of maternal and neonatal hypoglycemia in the use of metformin.
Diabetes, Gestational ; Glycemic Control ; Insulin ; Metformin