No abstract available.
Diabetes Mellitus, Type 2*

No abstract available.
Diabetes Mellitus, Type 2*

Patients with diabetes have an earlier onset and increased severity of anaemia compared to those with similar degree of renal impairment from other causes. Anaemia is associated with an increased risk of vascular complications. In this study, we determined the prevalence of anaemia in T2DM patients and its association with sociodemographic, clinical and laboratory parameters in an endocrine tertiary hospital in Malaysia. This was a cross-sectional study using retrospective electronic data from January 2011 to December 2013 of 165 T2DM patients in Hospital Putrajaya. Data was analysed using IBM SPSS Statistics version 21.0 for Windows. The prevalence of anaemia was 39.4% and majority had normocytic normochromic (80%), mild (58.5%) anaemia. Majority were Malays (73.9%), aged below 60 with comparable gender percentage and long-standing, poorly-controlled DM [median fasting blood sugar (FBS) 8mmol/L; glycated haemoglobin (HbA1c) 7.9%]. Using the KDIGO chronic kidney disease (CKD) staging system, 86% of these patients were in stages 3-5. Anaemic patients had a significantly higher serum urea, creatinine and a lower FBS, estimated glomerular filtration rate (eGFR) compared to non-anaemic patients. Anaemic patients with diabetic nephropathy had a significantly lower haemoglobin (Hb) compared to those without this complication (p=0.022). The sensitivity and specificity at a cut-off eGFR value of 38.3 ml/min/1.73 m2 (maximum Youden index = 0.462) was 66.7% and 79.5%, respectively to discriminate mild from moderate anaemia. This study shows that anaemia is already present in T2DM patients in Hospital Putrajaya at initial presentation to the specialist outpatient clinic and is significantly associated with CKD. Hence, it emphasises the obligatory need for routine and follow-up full blood count monitoring in T2DM patients in primary care as well as tertiary settings in Malaysia to enable early detection and aggressive correction of anaemia in preventing further complications.
Diabetes Mellitus, Type 2

The glycosylated haemoglobin (HbA1c) test is the most widely accepted laboratory test for evaluating long term glycaemic control. Patient’s understanding of HbA1c can lead to better glycaemic control. This study is aimed to determine the awareness and level of understanding of HbA1c among type 2 DM patients and its association with glycaemic control. A cross-sectional descriptive study among Type 2 DM patients undergoing routine follow up in an endocrine clinic of a tertiary centre in Malaysia. Patients were invited to answer a validated questionnaire which assessed their awareness and understanding of HbA1c. Their last HbA1c results were retrieved from the laboratory information system. A total of 92 participants were recruited. Fifty-six (60.9%) were aware of the term HbA1c. Fifty percent were categorised as having good HbA1c understanding, with age, monthly income and level of education being the factors associated with understanding. No significant association was noted between HbA1c understanding and glycaemic control, although more patients with good HbA1c understanding had achieved the target glycaemic control compared to those with poor understanding. The level of HbA1c awareness and understanding was acceptable. Factors associated with understanding were age, income and level of education. Continuing efforts however, must be made to improve patients understanding of their disease and clinical disease biomarkers.
Diabetes Mellitus, Type 2

Aims: The aim of the study was to re-evaluate the relationship between hospital based diabetes care delivery and prevention of complications. Methods: DiabCare is an observational, non-interventional, cross-sectional study of hospital-based outpatient diabetes care. Results: A total of 1668 patients participated in the study: mean age 57.8 ± 11.0 years, duration of diabetes 13.0 ± 8.6 years, and duration of insulin treatment 5.6 ± 5.5 years. Mean weight was 74.3 ± 16.6 kg (BMI 29.1 ± 5.8 kg/m2). The majority of patients were female (53.6%) and the largest ethnic group was Malay (51.3%), followed by Indian (21.9%) and Chinese (20.1%). The percentage of patients with HbA1c < 6.5% (< 42 mmol/mol) and < 7.0% (< 53 mmol/mol) was 12.2% and 23.8%, respectively (mean HbA1c 8.52 ± 2.01% [70 ± 22 mmol/mol]). The proportion of patients using insulin was 65% at a total daily dose of 60 ± 37 IU. One or more episodes of hypoglycaemia were reported by 39% (n=658) of patients within the previous three months. The risk of any hypoglycaemia was associated with the use of insulin (odds ratio [OR 3.26, 95% CI 2.59–4.09]), and total daily insulin dose (OR 1.04, 95% CI 1.01–1.07 per 10 IU increase). Mean HbA1c had not changed significantly between DiabCare cohorts 2008 and 2013 (p=0.08). Conclusions: Despite evidence of improving processes of diabetes care, glycaemic control and the prevalence of many diabetes related complications were unchanged.
Diabetes Mellitus, Type 2

In 2021, 537 million adults were living with diabetes. Being a progressive disease, there would eventually be failure of oral hypoglycemic agents (OHA) to maintain good glycemic control and a majority will require insulin. However, optimal glycemic control has not been satisfactory in a significant proportion of patients who were on insulin therapy. Patient factors (eg, awareness, compliance, socioeconomic) have been identified but physician-related factors are as important. These include incorrect choice and inappropriate combination of insulin therapy which could be corrected by making the treatment physiologic. The purpose of this article is to improve management decisions in type 2 diabetes by reviewing its pathophysiology and identifying the optimum insulin regimen that could mimic such. Since eventual beta cell failure is central to its pathophysiology, it is but reasonable to replace insulin by mimicking its physiologic secretion. Hence, the term Insulin Replacement Therapy (IRT) should be utilized. This could be provided by the combination of premix insulin (ie, NPH + regular insulin) and rapid-acting insulin which has been reported to provide an initial 17.5% HbA1c reduction and even 18% reduction on 5-year follow-up providing sustainable control. A stepwise approach is an effective tool for insulin intensification. Hypoglycemia in insulin therapy could be prevented with an appropriate dietary regimen through automatic snacking.

Introduction: There are a significant number of diabetic patients who remain uncontrolled despite basal insulin therapy due to lack of intensification of treatment. Different insulin titration algorithms are recommended by different treatment guidelines. This study compared two basal insulin titration algorithms in terms of time to achieve target glucose, adherence, hypoglycemia episodes, and HbA1c reduction. Methods: This is a 12-week randomized clinical trial conducted on insulin-naïve patients with uncontrolled type 2 diabetes mellitus from outpatient clinic of St. Luke’s Medical Center Quezon City. Patients on oral hypoglycemic agent/s with HbA1c seven percent and above were included in the study. They were randomized to either daily titration or twiceweekly insulin titration algorithms using basal insulin glargine. Results: Forty-one patients were included in the study. The daily titration algorithm achieved target capillary blood glucose (CBG) at stable insulin dose earlier (33 vs 41.3 days, p-value=0.042) than the twice-weekly titration. Better adherence was also seen among patients on daily titration algorithm as compared to twice weekly (94.94% vs. 91.12%, p-value = 0.009). There was no significant difference in incidence of hypoglycemia (p-value 0.0.62) for both algorithms. All patients from the two groups had significant HbA1c reduction at the end of the study period. Conclusion Daily titration algorithm achieved earlier target fasting plasma glucose and better patient adherence as compared to twice-weekly titration in the adjustment of basal insulin dose. HbA1c reduction and risk of hypoglycemia were similar in both titration algorithms.
Diabetes Mellitus, Type 2

Objective: The aim of the study was to investigate the association between single nucleotide polymorphisms (SNP) at rs 1501299 (SNP+276 G>T) of the adiponectin gene and plasma adiponectin levels in type 2 diabetes mellitus (T2DM) patients in Myanmar. Methodology: One hundred T2DM patients and 104 non-diabetic subjects were included in this cross-sectional analytical study. Genotype frequencies were determined by polymerase chain reaction - restriction fragment length polymorphism (PCR-RFLP) method. Plasma adiponectin level was measured by enzyme-linked immunosorbent assay (ELISA). Result: Genotype frequencies (GG, GT, TT) of SNP+276 in diabetic patients were 39%, 48% and 13%, respectively. The GT and TT genotypes were more frequent in T2DM patients (OR 1.98, 95% CI, 1.10-3.55; p=0.02 and OR 4.07, 95% CI, 1.34-12.3; p=0.01), respectively. The T allele of SNP+276 was significantly associated with T2DM (OR 1.96, 95% CI, 1.27-3.01; p=0.002). Mean plasma adiponectin level was significantly lower than in T2DM patients (27.41±16.7 μg/mL) compared to non-diabetic subjects (37.19±26.77 μg/mL) (p=0.002) Conclusion SNP+276 at rs 1501299 of the adiponectin gene was associated with type 2 diabetes and low plasma adiponectin levels in this Myanmar population.
Diabetes Mellitus, Type 2

Objective: To evaluate the effect of adding DPP4 inhibitor (DPP4-i) on glycemic variability (GV) in patients with type 2 diabetes mellitus (T2DM) treated with premixed human insulin (MHI). Methodology: We conducted a prospective study in patients with T2DM on twice-daily MHI with or without metformin therapy. Blinded continuous glucose monitoring was performed at baseline and following 6 weeks of Vildagliptin therapy. Results: Twelve patients with mean (SD) age of 55.8 (13.1) years and duration of disease of 14.0 (6.6) years were recruited. The addition of Vildagliptin significantly reduced GV indices (mmol/L): SD from 2.73 (IQR 2.12-3.66) to 2.11 (1.76-2.55), p=0.015; mean amplitude of glycemic excursions (MAGE) 6.94(2.61) to 5.72 (1.87), p=0.018 and CV 34.05 (8.76) to 28.19 (5.36), p=0.010. In addition, % time in range (3.9-10 mmol/l) improved from 61.17 (20.50) to 79.67 (15.33)%, p=0.001; % time above range reduced from 32.92 (23.99) to 18.50 (15.62)%, p=0.016; with reduction in AUC for hyperglycemia from 1.24 (1.31) to 0.47 (0.71) mmol/day, p=0.015. Hypoglycemic events were infrequent and the reduction in time below range and AUC for hypoglycemia did not reach statistical significance. Conclusion The addition of DPP4-I to commonly prescribed twice-daily MHI in patients with T2DM improves GV and warrants further exploration.
Diabetes Mellitus, Type 2

Background: Genitourinary tract infections, mycotic as well as bacterial, as defined by clinical symptoms, are one of the common adverse effects associated with the use of sodium-glucose cotransporter-2 inhibitors (SGLT2i) in type 2 diabetes mellitus (T2DM) patients in clinical trials. However, Indian data in terms of the prevalence of culture-proven bacterial type of urinary tract infection (UTI), and the causative organism is limited. Objective: This study aimed to determine the prevalence and causative agents of bacterial UTI among patients with T2DM on SGLT2i. Methodology: This was a prospective longitudinal study involving all patients with T2DM who were prescribed with SGLT2i, uncontrolled on other oral anti-diabetic medications, from June 2019 to February 2020. Prevalence of bacterial UTI was evaluated at baseline and 12 weeks after initiation of SGLT2i. Results: A total of 80 patients were started on SGLT2i. One female patient on canagliflozin had significant asymptomatic bacteriuria and the causative agent was Acinetobacter baumannii. One male patient on dapagliflozin had symptomatic UTI with negative urine culture study. Four patients developed genital mycotic infection. Conclusion In this real-world study, SGLT2i as a class, was well tolerated with favorable safety profile, and risk of developing significant bacteriuria and/or symptomatic UTI was minimal.
Diabetes Mellitus, Type 2