Osteo-articular diseases as comorbidity in non-orthopaedic surgery

Osteo-articular diseases have significant presence among general population. Osteo-articular disorders can be caused by disease or by trauma. There are many osteo-articular diseases which have influence on general state of the organysm and on other present diseases in a various level. The influence appears by increasing risk of main disease complications, limited movement complicates postoperative treatment of main disease and medicament therapy of osteo-articular disease sometimes modifies perioperative therapy of main disease. Trauma as comorbidity needs urgent care and, in the same time, it is a huge complication for the injured condition. Osteoarticular trauma healing usually lasts several weeks, so it prolongs the healing of intercurrent surgical disease. Osteo-articular changes as comorbidity during the acute surgical disease healing need proper preoperative preparing, With the aim to minimise perioperative morbidity and mortality.     

Evaluation of 3D blood flow patterns and wall shear stress in the normal and dilated thoracic aorta using flow-sensitive 4D CMR

Background

The purpose of this study was to investigate 3D flow patterns and vessel wall parameters in patients with dilated ascending aorta, age-matched subjects, and healthy volunteers.

Methods

Thoracic time-resolved 3D phase contrast CMR with 3-directional velocity encoding was applied to 33 patients with dilated ascending aorta (diameter ≥40 mm, age=60±16 years), 15 age-matched normal controls (diameter ≤37 mm, age=68±7.5 years) and 15 young healthy volunteers (diameter ≤30 mm, age=23±2 years). 3D blood flow was visualized and flow patterns were graded regarding presence of supra-physiologic-helix and vortex flow using a semi-quantitative 3-point grading scale. Blood flow velocities, regional wall shear stress (WSS), and oscillatory shear index (OSI) were quantified.

Results

Incidence and strength of supra-physiologic-helix and vortex flow in the ascending aorta (AAo) was significantly higher in patients with dilated AAo (16/33 and 31/33, grade 0.9±1.0 and 1.5±0.6) than in controls (2/15 and 7/15, grade 0.2 ± 0.6 and 0.6 ± 0.7, P<.05) or healthy volunteers (1/15 and 0/15, grade 0.1 ± 0.3 P<.05). Greater strength of the ascending aortic helix and vortex flow were associated with significant differences in AAo diameters (P<.05). Peak systolic WSS in the ascending aorta and aortic arch was significantly lower in patients with dilated AAo (P<.0157-.0488). AAo diameter positively correlated to time to peak systolic velocities (r=0.30-0.53, P<.04), OSI (r=0.33-0.49, P<0.02) and inversely correlated to peak systolic WSS (r=0.32-0.40, P<.03). Peak systolic WSS was significantly lower in AAo aneurysms at the right and outer curvature within the AAo and proximal arch (P<.01-.05).

Conclusions

Increase in AAo diameter is significantly correlated with the presence and strength of supra-physiologic-helix and vortex formation in the AAo, as well with decrease in systolic WSS and increase in OSI.     

In Vivo Imaging and Computational Analysis of the Aortic Root. Application in Clinical Research and Design of Transcatheter Aortic Valve Systems

Valvular heart disease is a major cause of morbidity and mortality in developing and industrialized countries. For patients with advanced symptomatic disease, surgical open-heart valve replacement is an effective treatment, supported by long-term outcome data. More recently, less-invasive transcatheter approaches for valve replacement/implantation have been developed for patients that are not considered surgical candidates. An understanding of valvular and paravalvular anatomy and biomechanics is pivotal for the optimization of interventional valve procedures. Advanced imaging is increasingly used not only for clinical guidance but also for the design and further improvement of transcatheter valve systems. Computed tomography is particularly attractive because it acquires high-resolution volumetric data sets of the root including the leaflets and coronary artery ostia, with sufficient temporal resolution for multi-phasic analysis. These volumetric data sets allow subsequent 3-D and 4-D display, reconstruction in unlimited planes, and mathematical modeling. Computer modeling, specifically finite element analysis, of devices intended for implantation in the aortic root, allows for structural analysis of devices and modeling of the interaction between the device and cardiovascular anatomy. This paper will provide an overview of computer modeling of the aortic root and describe FEA approaches that could be applied to TAVI and have an impact on clinical practice and device design.     

Offer of a weight management program to overweight and obese weight-concerned smokers improves tobacco dependence treatment outcomes

Weight concern is a common and significant barrier to abstinence for many smokers. This quasi-experimental pilot study used multivariate logistic regression to examine the effects of offering a weight management treatment program on tobacco dependence treatment outcomes. Age, gender, ethnicity, educational level, nicotine dependence level, body mass index, and concern about weight gain were entered as factors/covariates to account for differences between groups. Offering a weight management program increased attendance at the first scheduled contact (88.1% vs. 71.6%; OR = 2.93; p = .029) and increased 6-month abstinence (21.4% vs. 10.1%; OR = 2.42; p = .052). With factors and covariates included in the multivariate models to account for group differences, those offered weight management were five times more likely to attend their first session (OR = 5.10; 95% CI 1.53-16.98; p = .008) and three times more likely to be abstinent 6 months after tobacco treatment (OR = 2.98; 95% CI = 1.09-8.17; p = .033). Proactively informing weight-concerned, overweight/obese smokers about the availability of a weight management program as an incentive for completing treatment for tobacco dependence may improve tobacco treatment outcomes.