In Silico Prediction of the Mechanobiological Response of Arterial Tissue: Application to Angioplasty and Stenting

One way to restore physiological blood flow to occluded arteries involves the deformation of plaque using an intravascular balloon and preventing elastic recoil using a stent. Angioplasty and stent implantation cause unphysiological loading of the arterial tissue, which may lead to tissue in-growth and reblockage; termed “restenosis.” In this paper, a computational methodology for predicting the time-course of restenosis is presented. Stress-induced damage, computed using a remaining life approach, stimulates inflammation (production of matrix degrading factors and growth stimuli). This, in turn, induces a change in smooth muscle cell phenotype from contractile (as exists in the quiescent tissue) to synthetic (as exists in the growing tissue). In this paper, smooth muscle cell activity (migration, proliferation, and differentiation) is simulated in a lattice using a stochastic approach to model individual cell activity. The inflammation equations are examined under simplified loading cases. The mechanobiological parameters of the model were estimated by calibrating the model response to the results of a balloon angioplasty study in humans. The simulation method was then used to simulate restenosis in a two dimensional model of a stented artery. Cell activity predictions were similar to those observed during neointimal hyperplasia, culminating in the growth of restenosis. Similar to experiment, the amount of neointima produced increased with the degree of expansion of the stent, and this relationship was found to be highly dependant on the prescribed inflammatory response. It was found that the duration of inflammation affected the amount of restenosis produced, and that this effect was most pronounced with large stent expansions. In conclusion, the paper shows that the arterial tissue response to mechanical stimulation can be predicted using a stochastic cell modeling approach, and that the simulation captures features of restenosis development observed with real stents. The modeling approach is proposed for application in three dimensional models of cardiovascular stenting procedures.

Translating policy into practice: A case study in the secondary prevention of coronary heart disease

Background: This paper focuses on the relationships between health ‘policy’ as it is embodied in official documentation, and health ‘practice’ as reported and reflected on in the talk of policy makers, health professionals and patients. The specific context for the study involves a comparison of policies relating to the secondary prevention of coronary heart disease (CHD) in the two jurisdictions of Ireland – involving as they do a predominantly state funded (National Health Service) system in the north and a mixed healthcare economy in the south. The key question is to determine how the rhetoric of health policy as contained in policy documents connects to, and gets translated into practice and action.

Methods: The data sources for the study include relevant healthcare policy documents (N=5) and progress reports (N=6) in the two Irish jurisdictions, and semi-structured interviews with a range of policy-makers (N=28), practice nurses (14), general practitioners (12) and patients (13) to explore their awareness of the documents’ contents and how they saw the impact of ‘policy’ on primary care practice.

Results: The findings suggest that although strategic policy documents can be useful for highlighting and channelling attention to health issues that require concerted action, they have little impact on what either professionals or lay people do.

Conclusion: To influence the latter and to encourage a systematic approach to the delivery of health care it seems likely that contractual arrangements – specifying tasks to be undertaken and methods for monitoring and reporting on activity - are required.

Improved detection of acute myocardial infarction in patients with chest pain and significant left main stem coronary stenosis.

Background: Non-invasive diagnosis of acute myocardial infarction (AMI) associated with significant left main stem (LMS) stenosis remains challenging.

Methods: Consecutive patients presenting with acute ischaemic-type chest pain from 2000 to 2010 were analysed. Entry criteria: 12-lead ECG and Body Surface Potential Map (BSPM) at presentation, cardiac troponin T (cTnT) =12?h and coronary angiography during admission. cTnT =0.03?µg/l defined AMI. ECG abnormalities assessed: STEMI by Minnesota criteria; ST elevation (STE) aVR =0.5?mm; ST depression (STD) =0.5?mm in =2 contiguous leads (CL); T-wave inversion (TWI) =1?mm in =2 CL. BSPM STE was =2?mm in anterior, =1?mm in lateral, inferior, right ventricular or high right anterior and =0.5?mm in posterior territories. Significant LMS stenosis was =70%.

Results: Enrolled were 2810 patients (aged 60?±?12 years; 71% male). Of these, 116 (4.1%) had significant LMS stenosis with AMI occurring in 92 (79%). STEMI by Minnesota criteria occurred in 13 (11%) (sensitivity 12%, specificity 92%), STE in lead aVR in 23 (20%) (sensitivity 23%, specificity 92%), TWI in 38 (33%) (sensitivity 34%, specificity 71%) and STD in 51 (44%) (sensitivity 49%, specificity 75%). BSPM STE occurred in 85 (73%): sensitivity 88%, specificity 83%, positive predictive value 95% and negative predictive value 65%. Of those with AMI, 74% had STE in either the high right anterior or right ventricular territories not identified by the 12-lead ECG. C-Statistic for AMI diagnosis using BSPM STE was 0.800 (P?<?0.001).

Conclusion: In patients with significant LMS stenosis presenting with chest pain, BSPM STE has improved sensitivity (88%), with specificity 83%, over 12-lead ECG in the diagnosis of AMI.

Dietary patterns and smoking in Northern Irish men: a population at High risk of coronary heart disease

This study evaluated dietary habits of Northern Irish men who are at high risk of cardiovascular disease, stratified as never-, ex-, moderate-, or heavy-smokers. Participants were male volunteers (30 - 49 years) from a single workforce in Belfast (n = 765). Dietary information was collected using a validated food frequency questionnaire. For 'a priori' diet scores, never- and ex-smokers had a significantly higher fruit and vegetable score, Mediterranean diet score, and alternative Mediterranean diet score than moderate or heavy-smokers (all p