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September 12, 19984,820 citations

Tight blood pressure control and risk of macrovascular and microvascular complications in type 2 diabetes: UKPDS 38

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MSM R StearneSPS L PalmerMHM S Hammersley

Key Points

  • To evaluate whether simplified computational fluid dynamics methodologies can adequately capture patient-specific aortic flow characteristics compared to computationally intensive fluid-structure interaction models.
  • Simulated patient-specific aortic haemodynamics using three computational fluid methodologies coupled with 0D boundary conditions.

Structured PICO

P
Population
Patient-specific aorta model for simulating haemodynamics
I
Intervention
Simpler computational fluid methodologies (rigid walled incompressible fluid simulation and compressible fluid simulation tuned to aortic wall compliance)
C
Comparator
Full fluid-structure interaction (FSI) simulation
O
Outcome
Capture of important characteristics of the flow field

Simpler computational fluid dynamics models may be sufficient to capture important aortic hemodynamic characteristics, potentially reducing computational time for clinical translation.

Abstract

State of the art simulations of aortic haemodynamics feature full fluid-structure interaction (FSI) and coupled 0D boundary conditions. Such analyses require not only significant computational resource but also weeks to months of run time, which compromises the effectiveness of their translation to a clinical workflow. This article employs three computational fluid methodologies, of varying levels of complexity with coupled 0D boundary conditions, to simulate the haemodynamics within a patient-specific aorta. The most comprehensive model is a full FSI simulation. The simplest is a rigid walled incompressible fluid simulation while an alternative middle-ground approach employs a compressible fluid, tuned to elicit a response analogous to the compliance of the aortic wall. The results demonstrate that, in the context of certain clinical questions, the simpler analysis methods may capture the important characteristics of the flow field.

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Cite This Study

Stearne et al. (1998) studied this question.

synapsesocial.com/papers/69f41d1bf3e494ed2b7d040bhttps://doi.org/10.1016/j.jbiomech.2011.11.041
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Hypertension in Diabetes Study (HDS): I. Prevalence of hypertension in newly presenting type 2 diabetic patients and the association with risk factors for cardiovascular and diabetic complications1993 · 494 citations
  2. 2Diabetes, Other Risk Factors, and 12-Yr Cardiovascular Mortality for Men Screened in the Multiple Risk Factor Intervention Trial1993 · 4,109 citations
  3. 3Development and Progression of Renal Disease in Pima Indians with Non-Insulin-Dependent Diabetes Mellitus1996 · 480 citations
  4. 4Efficacy of atenolol and captopril in reducing risk of macrovascular and microvascular complications in type 2 diabetes: UKPDS 391998 · 1,408 citations
  5. 5Blood Pressure and End-Stage Renal Disease in Men1996 · 1,668 citations