METHODOLOGY: This is a retrospective study that included patients from the Malaysian Acromegaly registry who were diagnosed with acromegaly from 1970 onwards. Data collected included patient demographics, clinical manifestations of acromegaly, biochemical results and imaging findings. Information regarding treatment modalities and their outcomes was also obtained.
RESULTS: Registry data was collected from 2013 to 2016 and included 140 patients with acromegaly from 12 participating hospitals. Median disease duration was 5.5 years (range 1.0 - 41.0 years). Most patients had macroadenoma (67%), while 15% were diagnosed with microadenoma. Hypertension (49.3%), diabetes (37.1%) and hypopituitarism (27.9%) were the most common co-morbidities for patients with acromegaly. Majority of patients had surgical intervention as primary treatment (65.9%) while 20.7% were treated medically, mainly with dopamine agonists (18.5%). Most patients had inadequate disease control after first-line treatment regardless of treatment modality (79.4%).
CONCLUSION: This registry study provides epidemiological data on patients with acromegaly in Malaysia and serves as an initial step for further population-based studies.
METHODOLOGY: FPG and HbA1c were taken from 40,667 eligible TMC participants that have no previous history of diabetes, aged between 35-70 years and were recruited from 2006 - 2012. Participants were classified as normal, diabetes and pre-diabetes based on the 2006 World Health Organization (WHO) criteria. Statistical analyses were performed using ANOVA and Chi-square test, while Pearson correlation and Cohen's kappa were used to examine the concordance rate between FPG and HbA1c.
RESULTS: The study samples consisted of 16,224 men and 24,443 women. The prevalence of diabetes among the participants was 5.7% and 7.5% according to the FPG and HbA1c level, respectively. Based on FPG, 10.6% of the participants had pre-diabetes but this increased to 14.2% based on HbA1c (r=0.86; P<0.001). HbA1c had a sensitivity of 58.20 (95% CI: 56.43, 59.96) and a specificity of 98.59 (95% CI: 98.46, 98.70).
CONCLUSION: A higher prevalence of pre-diabetes and diabetes was observed when using HbA1c as a diagnosis tool, suggesting that it could possibly be more useful for early detection. However, given that HbA1c may also have lower sensitivity and higher false positive rate, several diagnostic criteria should be used to diagnose diabetes accurately.
Methodology: We conducted a comparative case-control study involving 28 T2DM patients with a history of SH within the last 5 years with no documented ACAD, and matched them with 28 T2DM patients with no history of SH. All subjects underwent coronary artery calcium scoring (CACS) with or without coronary computed tomographic angiography (CCTA) to evaluate the severity of ACAD.
Results: A history of SH in T2DM was associated with a higher prevalence of significant ACAD (79% versus 46%, p=0.026). A high CACS (≥100) was seen in a greater number of patients with a history of SH compared to those without (75% versus 43%, p=0.029). Similarly, there was a higher prevalence of obstructive CAD in those with a history of SH compared to those without (72% versus 39%, p=0.036). Median C-reactive protein level was also higher among patients with a history of SH (0.41 mg/dL versus 0.16 mg/dL, p=0.029).
Conclusion: In patients with T2DM, a history of SH is significantly associated with ACAD compared to those without SH. A history of SH warrants screening for ACAD.
Methodology: 148 patients on hemodialysis were analysed, 91 patients had end-stage-diabetic-renal disease (DM-ESRD), and 57 patients had end-stage-non-diabetic renal disease (NDM-ESRD). Glycemic patterns and PHH data were obtained from 11-point and 7-point self-monitoring blood glucose (SMBG) profiles on hemodialysis and non-hemodialysis days. PHH and its associated factors were analysed with logistic regression.
Results: Mean blood glucose on hemodialysis days was 9.33 [SD 2.7] mmol/L in DM-ESRD patients compared to 6.07 [SD 0.85] mmol/L in those with NDM-ESRD (p<0.001). PHH occurred in 70% of patients and was more pronounced in DM-ESRD compared to NDM-ESRD patients (72.5% vs 27.5%; OR 4.5). Asymptomatic hypoglycemia was observed in 18% of patients. DM-ESRD, older age, previous IHD, obesity, high HbA1c, elevated highly-sensitive CRP and low albumin were associated with PHH.
Conclusion: DM-ESRD patients experienced significant PHH in our cohort. Other associated factors include older age, previous IHD, obesity, high HbA1c, elevated hs-CRP and low albumin.
METHODOLOGY: This was a cross-sectional study on 258 patients with T2DM duration of at least 10 years. Transient elastography (FibroScan®) was performed on all subjects. Advanced liver fibrosis was diagnosed based on LSM results. The FIB-4 index formula was used.
RESULTS: The prevalence of advanced liver fibrosis was 22.1%. Associated factors were body mass index (BMI), alanine transaminase (ALT), aspartate transaminase (AST), gamma-glutamyl transferase (GGT), triglyceride (TG) and high-density lipoprotein (HDL) cholesterol. Independent factors were BMI and GGT (p=0.003 and p<0.001). FIB-4 index has 30.0% sensitivity, 85.0% specificity, 38.7% positive predictive value, and 79.4% negative predictive value in detecting advanced liver fibrosis by LSM criteria.
CONCLUSION: Our study confirmed the high prevalence of advanced liver fibrosis among patients with long-standing T2DM. This study suggests the benefit of advanced liver fibrosis screening in patients with a minimum of 10 years of T2DM, especially those with high BMI and GGT.
Methodology: We used a retrospective, matched before and after study design to prevent biased levels of effort by students conducting the home visits over two years. Information was obtained through reports written by IMU students. Convenient sampling was used to select outpatients undergoing treatment 'as usual' from a health clinic and were subsequently matched as controls.
Results: There was a significant decrease in the mean HbA1c among 57 patients with diabetes who were CFCS subjects [from 8.4% (68 mmol/mol) to 7.3% (57 mmol/mol) p<0.001], while the mean HbA1c levels among 107 matched control subjects rose significantly from 7.9% (63 mmol/mol) to 8.3% (67 mmol/mol) (p=0.019) over a similar period. The two groups were controlled for most biological and socioeconomic variables except for comorbidities, diabetic complications and medication dose changes between groups.
Conclusion: Behavioural intervention in the form of home visits conducted by medical students is an effective tool with a dual purpose, first as a student educational initiative, and second as a strategy to improve outcomes for patients with diabetes.
Methodology: The medical records of 84 obese children under 18 years of age seen at Paediatric clinic HUSM from 2006 to 2015 were reviewed. Demographic (age, gender, ethnicity), anthropometric (weight and height), clinical [body mass index (BMI), systolic blood pressure (SBP) and diastolic blood pressure (DBP)] and biochemical [serum total cholesterol (TC), triglyceride (TG), high density lipoprotein-cholesterol (HDL-C), low density lipoprotein-cholesterol (LDL-C), fasting plasma glucose (FPG)] parameters were recorded, analyzed and compared.
Results: Majority of subjects in both age groups were boys, with 68.2% <10 years old. Mean age was 9.69 years (±3.36). The clinical and biochemical parameters of metabolic syndrome were similar between those <10 years old and >10 years, with the exception of BMI, waist circumference, SBP and TG level. Multivariate regression analysis showed that the parameters of metabolic syndrome significantly associated with age ≥10 years were systolic hypertension (adjusted OR 7.17, 95% CI, 1.48 to 34.8) and BMI >30 kg/m2 (adjusted OR 3.02, 95% CI, 1.16 to 7.86).
Conclusion: There were similar clinical and biochemical parameters of metabolic syndrome in both age groups. The proportions of children with metabolic syndrome were similar regardless of age group. The overall prevalence rate of metabolic syndrome was 27.3%. In view of the alarming presence of components of metabolic syndrome even in children less than 10 years of age, efforts aimed at the prevention of childhood obesity in the community should be intensified.