Aortic blood pressure measured via EIT: investigation of different measurement settings.

Electrical impedance tomography (EIT) allows the measurement of intra-thoracic impedance changes related to cardiovascular activity. As a safe and low-cost imaging modality, EIT is an appealing candidate for non-invasive and continuous haemodynamic monitoring. EIT has recently been shown to allow the assessment of aortic blood pressure via the estimation of the aortic pulse arrival time (PAT). However, finding the aortic signal within EIT image sequences is a challenging task: the signal has a small amplitude and is difficult to locate due to the small size of the aorta and the inherent low spatial resolution of EIT. In order to most reliably detect the aortic signal, our objective was to understand the effect of EIT measurement settings (electrode belt placement, reconstruction algorithm). This paper investigates the influence of three transversal belt placements and two commonly-used difference reconstruction algorithms (Gauss-Newton and GREIT) on the measurement of aortic signals in view of aortic blood pressure estimation via EIT. A magnetic resonance imaging based three-dimensional finite element model of the haemodynamic bio-impedance properties of the human thorax was created. Two simulation experiments were performed with the aim to (1) evaluate the timing error in aortic PAT estimation and (2) quantify the strength of the aortic signal in each pixel of the EIT image sequences. Both experiments reveal better performance for images reconstructed with Gauss-Newton (with a noise figure of 0.5 or above) and a belt placement at the height of the heart or higher. According to the noise-free scenarios simulated, the uncertainty in the analysis of the aortic EIT signal is expected to induce blood pressure errors of at least ± 1.4 mmHg.

Image guided critical screw placement precision in the cervical spine : important or incidental? : results of a series of 91 consecutive cases using OVEM

Study design: A retrospective study of image guided cervical implant placement precision. Objective: To describe a simple and precise classification of cervical critical screw placement. Summary of Background Data: "Critical" screw placement is defined as implant insertion into a bone corridor which is surrounded circumferentially by neurovascular structures. While the use of image guidance has improved accuracy, there is currently no classification which provides sufficient precision to assess the navigation success of critical cervical screw placement. Methods: Based on postoperative clinical evaluation and CT imaging, the orthogonal view evaluation method (OVEM) is used to classify screw accuracy into grade I (no cortical breach), grade la (screw thread cortical breach), grade II (internal diameter cortical breach) and grade III (major cortical breach causing neural or vascular injury). Grades II and III are considered to be navigation failures, after accounting for bone corridor / screw mismatch (minimal diameter of targeted bone corridor being smaller than an outer screw diameter). Results: A total of 276 screws from 91 patients were classified into grade I (64.9%), grade la (18.1%), and grade II (17.0%). No grade III screw was observed. The overall rate of navigation failure was 13%. Multiple logistic regression indicated that navigational failure was significantly associated with the level of instrumentation and the navigation system used. Navigational failure was rare (1.6%) when the margin around the screw in the bone corridor was larger than 1.5 mm. Conclusions: OVEM evaluation appears to be a useful tool to assess the precision of critical screw placement in the cervical spine. The OVEM validity and reliability need to be addressed. Further correlation with clinical outcomes will be addressed in future studies.

Estimation des coûts engendrés par l'occupation inappropriée des lits de soins aigus du CHUV par des patients en attente de placement

[Table des matières] 1. Pourquoi s'intéresser à l'occupation inappropriée des lits de soins aigus au CHUV ?. - 1.1. Etat des lieux. - 1.1.1. Les chiffres du CHUV. - 1.1.2. La cellule de gestion des flux de patients. - 1.1.3. L'unité de patients en attente de placement. - 1.1.4. La pénurie de lits dans les EMS vaudois. - 1.1.5. Le vieillissement de la population vaudoise. - 1.2. Evidences nationales et internationales. - - 2. Estimation des coûts. - 2.1. Coûts chiffrables. - 2.1.1. Perte financière directe. - 2.1.2. Coûts des transferts pour engorgement. - 2.1.3. Coût d'opportunité. - 2.2. Coûts non chiffrables. - 2.2.1. Patients. - 2.2.2. Personnel médical. - 2.2.3. CHUV. - - 3. Propositions. - 3.1. Prises en charge alternatives. - 3.1.1. Les réseaux intégrés de services aux personnes âgées. - 3.1.2. Les courts séjours gériatriques. - 3.1.3. Autres solutions. - 3.2. Prévention. - 3.2.1. Prévention des chutes. - 3.2.2. La prévention par l'information aux personnes âgées. - 3.2.3. La prévention par l'information à l'ensemble de la population