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  1. Al-Jumaily AM, Embong AHB, Al-Rawi M, Mahadevan G, Sugita S
    Bioengineering (Basel), 2023 Oct 21;10(10).
    PMID: 37892961 DOI: 10.3390/bioengineering10101231
    This paper presents a Patient-Specific Aneurysm Model (PSAM) analyzed using Computational Fluid Dynamics (CFD). The PSAM combines the energy strain function and stress-strain relationship of the dilated vessel wall to predict the rupture of aneurysms. This predictive model is developed by analyzing ultrasound images acquired with a 6-9 MHz Doppler transducer, which provides real-time data on the arterial deformations. The patient-specific cyclic loading on the PSAM is extrapolated from the strain energy function developed using historical stress-strain relationships. Multivariant factors are proposed to locate points of arterial weakening that precede rupture. Biaxial tensile tests are used to calculate the material properties of the artery wall, enabling the observation of the time-dependent material response in wall rupture formation. In this way, correlations between the wall deformation and tissue failure mode can predict the aneurysm's propensity to rupture. This method can be embedded within the ultrasound measures used to diagnose potential AAA ruptures.
  2. Foo CY, Nadia Mansor NA, Erng T, Mohamed MS, Mahadevan G, Lau G, et al.
    PMID: 39580723 DOI: 10.1016/j.vhri.2024.101059
    OBJECTIVES: This study quantified the health and economic benefits of improving low-density lipoprotein cholesterol (LDL-C) control in Malaysian patients with established atherosclerotic cardiovascular disease (ASCVD). It aimed to inform policy discussions and healthcare planning for effective ASCVD management.

    METHODS: A deterministic, prevalence-based model was used to project the annual health burden and direct medical costs associated with recurrent ASCVD events over a 10-year horizon. The target population included adults (≥30 years) with established ASCVD and uncontrolled LDL-C levels (>1.8 mmol/L). The model comprised 3 modules: population size projection, recurrent ASCVD risk calculation (by means of the Secondary Manifestations of ARTerial disease [SMART] risk model), and direct medical and productivity cost estimation. The current status quo and a scenario with a 50% improvement in mean LDL-C were compared.

    RESULTS: We projected over 800 000 adults with established ASCVD in 2023, increasing to approximately 1.4 million by 2032. Under the status quo, about 55 000 recurrent ASCVD events were expected within 10 years, with significant direct medical costs and productivity losses. Improved LDL-C control could potentially reduce recurrent events by 7000 cases (13% reduction), prevent 2100 premature deaths, and save approximately 32 400 years of life. Economically, this could lead to a reduction of approximately 72 million MYR in direct medical costs and a gain of approximately 132.4 million MYR in productivity over a decade.

    CONCLUSIONS: Optimizing LDL-C control in high-risk patients with ASCVD presents a critical opportunity to reduce health and economic burdens in Malaysia.

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