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  1. Selvarajah S, Kaur G, Haniff J, Cheong KC, Hiong TG, van der Graaf Y, et al.
    Int J Cardiol, 2014 Sep;176(1):211-8.
    PMID: 25070380 DOI: 10.1016/j.ijcard.2014.07.066
    BACKGROUND:Cardiovascular risk-prediction models are used in clinical practice to identify and treat high-risk populations, and to communicate risk effectively. We assessed the validity and utility of four cardiovascular risk-prediction models in an Asian population of a middle-income country.
    METHODS:Data from a national population-based survey of 14,863 participants aged 40 to 65 years, with a follow-up duration of 73,277 person-years was used. The Framingham Risk Score (FRS), SCORE (Systematic COronary Risk Evaluation)-high and -low cardiovascular-risk regions and the World Health Organization/International Society of Hypertension (WHO/ISH) models were assessed. The outcome of interest was 5-year cardiovascular mortality. Discrimination was assessed for all models and calibration for the SCORE models.
    RESULTS:Cardiovascular risk factors were highly prevalent; smoking 20%, obesity 32%, hypertension 55%, diabetes mellitus 18% and hypercholesterolemia 34%. The FRS and SCORE models showed good agreement in risk stratification. The FRS, SCORE-high and -low models showed good discrimination for cardiovascular mortality, areas under the ROC curve (AUC) were 0.768, 0.774 and 0.775 respectively. The WHO/ISH model showed poor discrimination, AUC=0.613. Calibration of the SCORE-high model was graphically and statistically acceptable for men (χ(2) goodness-of-fit, p=0.097). The SCORE-low model was statistically acceptable for men (χ(2) goodness-of-fit, p=0.067). Both SCORE-models underestimated risk in women (p<0.001).
    CONCLUSIONS:The FRS and SCORE-high models, but not the WHO/ISH model can be used to identify high cardiovascular risk in the Malaysian population. The SCORE-high model predicts risk accurately in men but underestimated it in women.
    KEYWORDS:Cardiovascular disease prevention; Mortality; Risk prediction; Risk score; Validation
  2. Selvarajah S, van der Graaf Y, Visseren FL, Bots ML, SMART study group
    PMID: 21729268 DOI: 10.1186/1471-2261-11-40
    To determine if recommended treatment targets, as specified in clinical practice guidelines for the management of cardiovascular disease, reduces the risk of renal complications in high risk patient populations.
  3. Widyahening IS, van der Heijden GJ, Moy FM, van der Graaf Y, Sastroasmoro S, Bulgiba A
    Perspect Med Educ, 2012 Dec;1(5-6):249-61.
    PMID: 23240103 DOI: 10.1007/s40037-012-0029-9
    Clinical epidemiology (CE) and evidence-based medicine (EBM) have become an important part of medical school curricula. This report describes the implementation and some preliminary outcomes of an integrated CE and EBM module in the Faculty of Medicine Universitas Indonesia (UI), Jakarta and in the University of Malaya (UM) in Kuala Lumpur. A CE and EBM module, originally developed at the University Medical Center Utrecht (UMCU), was adapted for implementation in Jakarta and Kuala Lumpur. Before the start of the module, UI and UM staff followed a training of teachers (TOT). Student competencies were assessed through pre and post multiple-choice knowledge tests, an oral and written structured evidence summary (evidence-based case report, EBCR) as well as a written exam. All students also filled in a module evaluation questionnaire. The TOT was well received by staff in Jakarta and Kuala Lumpur and after adaptation the CE and EBM modules were integrated in both medical schools. The pre-test results of UI and UM were significantly lower than those of UMCU students (p 
  4. Selvarajah S, Uiterwaal CS, Haniff J, van der Graaf Y, Visseren FL, Bots ML, et al.
    Eur J Clin Invest, 2013 Feb;43(2):198-207.
    PMID: 23301500 DOI: 10.1111/eci.12035
    BACKGROUND:
    Renal impairment and type 2 diabetes mellitus (DM) are well-known independent risk factors for mortality. The evidence of their combined effects on mortality is unclear, but of importance because it may determine aggressiveness of treatment. This study sought to assess and quantify the effect modification of diabetes on renal impairment in its association with mortality.

    MATERIALS AND METHODS:
    Patients with cardiovascular disease or at high risk, recruited in the Second Manifestations of ARTerial disease cohort study, were selected. A total of 7135 patients were enrolled with 33 198 person-years of follow-up. Renal impairment was defined by albuminuria status and estimated glomerular filtration rate (eGFR). Outcome was all-cause mortality.

    RESULTS:
    Mortality increased progressively with each stage of renal impairment, for both albuminuria status and eGFR, for diabetics and non-diabetics. There was no effect modification by diabetes on mortality risk due to renal impairment. The relative excess risk due to interaction (RERI) for DM and microalbuminuria was 0·21 (-0·11, 0·52), for overt proteinuria -1·12 (-2·83, 0·59) and for end-stage renal failure (ESRF) 0·32 (-3·65, 4·29). The RERI for DM with eGFR of 60-89 mL/min/1·73 m(2) was -0·31(-0·92, 0·32), for eGFR of 30-59 mL/min/1·73 m(2) -0·07 (-0·76, 0·62) and for eGFR of < 30 mL/min/1·73 m(2) 0·38 (-0·85, 1·61).

    CONCLUSIONS:
    Type 2 diabetes mellitus does not modify nor increase the risk relation between all-cause mortality and renal impairment. These findings suggest that the hallmark for survival is the prevention and delay in progression of renal impairment in patients with cardiovascular disease.
  5. Widyahening IS, van der Heijden GJMG, Ming Moy F, van der Graaf Y, Sastroasmoro S, Bulgiba A
    Med Educ Online, 2012 Jan;17(1):19623.
    PMID: 28440118 DOI: 10.3402/meo.v17i0.19623
    INTRODUCTION: We report about the direct short-term effects of a Clinical Epidemiology and Evidence-based Medicine (CE-EBM) module on the knowledge, attitude, and behavior of students in the University Medical Center Utrecht (UMCU), Universitas Indonesia (UI), and University of Malaya (UM).

    METHODS: We used an adapted version of a 26-item validated questionnaire, including four subscales: knowledge, attitude, behavior, and future use of evidence-based practice (EBP). The four components were compared among the students in the three medical schools before the module using one-way ANOVA. At the end of the module, we measured only knowledge and attitudes. We computed Cronbach's α to assess the reliability of the responses in our population. To assess the change in knowledge and attitudes, we used the paired t-test in the comparison of scores before and after the module.

    RESULTS: In total, 526 students (224 UI, 202 UM, and 100 UMCU) completed the questionnaires. In the three medical schools, Cronbach's α for the pre-module total score and the four subscale scores always exceeded 0.62. UMCU students achieved the highest pre-module scores in all subscales compared to UI and UM with the comparison of average (SD) score as the following: knowledge 5.04 (0.4) vs. 4.73 (0.69) and 4.24 (0.74), p<0.001; attitude 4.52 (0.64) vs. 3.85 (0.68) and 3.55 (0.63), p<0.001; behavior 2.62 (0.55) vs. 2.35 (0.71) and 2.39 (0.92), p=0.016; and future use of EBP 4.32 (0.59) vs. 4.08 (0.62) and 3.7 (0.71), p<0.01. The CE-EBM module increased the knowledge of the UMCU (from average 5.04±0.4 to 5.35±0.51; p<0.001) and UM students (from average 4.24±0.74 to 4.53±0.72; p<0.001) but not UI. The post-module scores for attitude did not change in the three medical schools.

    CONCLUSION: EBP teaching had direct short-term effects on knowledge, not on attitude. Differences in pre-module scores are most likely related to differences in the system and infrastructure of both medical schools and their curriculum.

  6. Bhoo-Pathy N, Yip CH, Hartman M, Saxena N, Taib NA, Ho GF, et al.
    Eur J Cancer, 2012 May;48(7):982-9.
    PMID: 22366561 DOI: 10.1016/j.ejca.2012.01.034
    Adjuvant! Online is a free web-based tool which predicts 10-year breast cancer outcomes and the efficacy of adjuvant therapy in patients with breast cancer. As its prognostic performance has only been validated in high income Caucasian populations, we validated the model in a middle income Asian setting.
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