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  1. Chew BH, Mastura I, Shariff-Ghazali S, Lee PY, Cheong AT, Ahmad Z, et al.
    Cardiovasc Diabetol, 2012;11:54.
    PMID: 22607105 DOI: 10.1186/1475-2840-11-54
    BACKGROUND: Uncontrolled blood pressure (BP) is a significant contributor of morbidity and even mortality in type 2 diabetes (T2D) patients. This study was done to determine the significant determinants of uncontrolled blood pressure in T2D patients in Malaysia.
    METHODS: Between 1st January 2009 to 31st December 2009, data from 70 889 patients with Type 2 diabetes was obtained from the Adult Diabetes Control and Management Registry for analysis; 303 centers participated in the study. Their demographic characteristics, the nature of their diabetes, their state of hypertension, treatment modalities, risk factors, and complications are described. Based on their most recent BP values, subjects were divided into controlled BP and uncontrolled BP and their clinical determinants compared. Independent determinants were identified using multivariate logistic regression.
    RESULTS: The mean age of patients at diagnosis of diabetes was 52.3 +/- 11.1 years old. Most were women (59.0 %) and of Malay ethnicity (61.9 %). The mean duration of diabetes was 5.9 +/- 5.6 years. A total of 57.4 % were hypertensive. Of the 56 503 blood pressure (BP) measured, 13 280 (23.5 %) patients had BP <130/80 mmHg. Eighteen percent was on > two anti-hypertensive agents. Health clinics without doctor, older age (>/= 50 years old), shorter duration of diabetes (< 5 years), Malay, overweight were determinants for uncontrolled blood pressure (BP >/=130/80 mmHg). Patients who were on anti-hypertensive agent/s were 2.7 times more likely to have BP >/=130/80 mmHg. Type 2 diabetes patients who had ischaemic heart disease or nephropathy were about 20 % and 15 % more likely to have their blood pressure treated to target respectively.
    CONCLUSIONS: Major independent determinants of uncontrolled BP in our group of T2D patients were Malay ethnicity, older age, recent diagnosis of diabetes, overweight and follow-up at health clinics without a doctor and possibly the improper use of anti hypertensive agent. More effort, education and resources, especially in the primary health care centres are needed to improve hypertensive care among our patients with diabetes.
  2. Al-Hamodi Z, Ismail IS, Saif-Ali R, Ahmed KA, Muniandy S
    Cardiovasc Diabetol, 2011;10:23.
    PMID: 21414238 DOI: 10.1186/1475-2840-10-23
    Increased plasma plasminogen activator inhibitor-1 (PAI-1) activity and decreased tissue plasminogen activator (tPA) activity could be considered a true component of the metabolic syndrome (MetS) associated with an increased risk of developing cardiovascular diseases (CVD) and fibrinolytic abnormalities. The aim of this study was to investigate the association of tPA and its inhibitor PAI-1 with type 2 diabetes (T2D) and MetS and interrelationship between PAI-1 and tPA activities and antigens in Malaysian T2D and normal subjects.
  3. Lau CH, Muniandy S
    PMID: 21251282 DOI: 10.1186/1475-2840-10-8
    Adiponectin and resistin are adipokines which modulate insulin action, energy, glucose and lipid homeostasis. Meta-analyses showed that hypoadiponectinemia and hyperresistinemia are strongly associated with increased risk of insulin resistance, type 2 diabetes (T2DM), metabolic syndrome (MS) and cardiovascular disease. The aim of this study was to propose a novel adiponectin-resistin (AR) index by taking into account both adiponectin and resistin levels to provide a better indicator of the metabolic homeostasis and metabolic disorders. In addition, a novel insulin resistance (IRAR) index was proposed by integration of the AR index into an existing insulin resistance index to provide an improved diagnostic biomarker of insulin sensitivity.
  4. Ramachandran V, Ismail P, Stanslas J, Shamsudin N
    PMID: 19243623 DOI: 10.1186/1475-2840-8-11
    The renin-angiotensin aldosterone system (RAAS) plays an important role in regulating the blood pressure and the genetic polymorphisms of RAAS genes has been extensively studied in relation to the cardiovascular diseases in various populations with conflicting results. The aim of this study was to determine the association of five genetic polymorphisms (A6G and A20C of angiotensinogen (AGT), MboI of renin, Gly460Trp of aldosterone synthase and Lys173Arg of adducin) of RAAS genes in Malaysian essential hypertensive and type 2 diabetic subjects.
  5. Gillani SW, Sulaiman SAS, Abdul MIM, Baig MR
    Cardiovasc Diabetol, 2017 08 14;16(1):103.
    PMID: 28807030 DOI: 10.1186/s12933-017-0584-9
    BACKGROUND: We aimed to investigate the efficacy of ascorbic acid and acetylsalicylic acid among type II diabetes mellitus patients using metformin (only) for diabetes management therapy.

    METHOD: A 12-month single blinded multicenter randomized control trial was designed to investigate the measured variables [Glycated Hemoglobin (HbA1c), Renal function, Albumin Creatinine Ratio (ACR) etc.]. The trial was randomized into 2 experimental parallel arms (ascorbic acid vs acetylsalicylic acid) were blinded with study supplements in combination with metformin and findings were compared to control arm with metformin alone and blinded with placebo. Withdrawal criteria was defined to maintain the equity and balance in the participants in the whole trial.

    FINDING: Patients with metformin and ascorbic acid (parallel arm I) was twice more likely to reduce HbA1c than metformin alone (control arm) in a year (OR 2.31 (95% CI 1.87-4.42) p 

  6. Kee OT, Harun H, Mustafa N, Abdul Murad NA, Chin SF, Jaafar R, et al.
    Cardiovasc Diabetol, 2023 Jan 19;22(1):13.
    PMID: 36658644 DOI: 10.1186/s12933-023-01741-7
    Prediction model has been the focus of studies since the last century in the diagnosis and prognosis of various diseases. With the advancement in computational technology, machine learning (ML) has become the widely used tool to develop a prediction model. This review is to investigate the current development of prediction model for the risk of cardiovascular disease (CVD) among type 2 diabetes (T2DM) patients using machine learning. A systematic search on Scopus and Web of Science (WoS) was conducted to look for relevant articles based on the research question. The risk of bias (ROB) for all articles were assessed based on the Prediction model Risk of Bias Assessment Tool (PROBAST) statement. Neural network with 76.6% precision, 88.06% sensitivity, and area under the curve (AUC) of 0.91 was found to be the most reliable algorithm in developing prediction model for cardiovascular disease among type 2 diabetes patients. The overall concern of applicability of all included studies is low. While two out of 10 studies were shown to have high ROB, another studies ROB are unknown due to the lack of information. The adherence to reporting standards was conducted based on the Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD) standard where the overall score is 53.75%. It is highly recommended that future model development should adhere to the PROBAST and TRIPOD assessment to reduce the risk of bias and ensure its applicability in clinical settings. Potential lipid peroxidation marker is also recommended in future cardiovascular disease prediction model to improve overall model applicability.
  7. Caiazzo G, Oliva A, Testa L, Heang TM, Lee CY, Milazzo D, et al.
    Cardiovasc Diabetol, 2024 Feb 03;23(1):52.
    PMID: 38310281 DOI: 10.1186/s12933-024-02139-9
    BACKGROUND: The outcomes of percutaneous coronary intervention (PCI) in diabetic patients are still suboptimal, and it is unclear if diabetic patients might derive a benefit from the use of drug-coated balloons.

    AIMS: To evaluate the impact of diabetes mellitus on the outcomes of patients undergoing PCI with sirolimus-coated balloon (SCB) MagicTouch (Concept Medical, India).

    METHODS: We conducted a subgroup analysis of the prospective, multicenter, investigator-initiated EASTBOURNE registry, evaluating the performance of MagicTouch SCB in patients with and without diabetes. The study primary endpoint was target lesion revascularization (TLR) at 12-month follow-up. Secondary clinical endpoints were major adverse clinical events (MACE), death, myocardial infarction (MI), and BARC 2-5 bleedings.

    RESULTS: Among 2,083 enrolled patients, a total of 864 suffered from diabetes (41.5%). Patients with diabetes had a numerically higher occurrence of TLR (6.5% vs. 4.7% HR 1.38, 95%CI 0.91-2.08), all-cause death (3.8% vs. 2.6%, HR 1.81, 95%CI 0.95-3.46), and MACE (12.2% vs. 8.9%; HR 1.26 95%CI 0.92-1.74). The incidence of spontaneous MI was significantly higher among diabetic patients (3.4% vs. 1.5%, HR 2.15 95%CI 1.09-4.25); bleeding events did not significantly differ. The overall incidence of TLR was higher among in-stent restenosis (ISR) as compared to de-novo coronary lesions, irrespectively from diabetes status.

    CONCLUSIONS: In the EASTBOURNE DIABETES registry, diabetic patients treated with the MagicTouch SCB did not have a significant increase in TLR when compared to non-diabetic patients; moreover, diabetic status did not affect the study device performance in terms of TLR, in both de-novo lesions and ISR.

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