Cricotracheal resection for laryngeal invasion by thyroid carcinoma: our experience.

Invasion of the laryngeal framework by thyroid carcinoma requires specific surgical techniques and carries a higher rate of complications that deserve to be highlighted. We reviewed our data from 1995 to 2012 and found six patients with laryngotracheal invasion by thyroid carcinoma. All underwent total thyroidectomy and single-stage cricotracheal resection, plus anterolateral neck dissection. Three had airway obstruction that necessitated prior endoscopic debulking. None of the patients needed a tracheotomy. There were four cases of papillary carcinoma, and two cases of undifferentiated carcinoma. One patient died of complications of the procedure (anastomotic dehiscence and tracheo-innominate artery fistula). Another died 2 months after the procedure from local recurrence and aspiration pneumonia. One case presented recurrence at 15 months, which was managed by re-excision and adjuvant radiotherapy; after 26 months of follow-up, he has no evidence of locoregional recurrence. The three other patients are alive without evidence of disease at 6, 18 and 41 months, respectively. Cricotracheal resection for subglottic invasion by thyroid carcinoma is an effective procedure, but carries significant risks of complications. This could be attributed to the devascularisation of the tracheal wall due to the simultaneous neck dissection, sacrifice of the strap muscles or of a patch of oesophageal muscle layer. We advocate a sternocleidomastoid flap to cover the anastomosis. Cricotracheal resection for subglottic invasion can be curative with good functional outcomes, even for the advanced stages of thyroid cancer. Endoscopic debulking of the airway prior to the procedure avoids tracheotomy

Hamstring Architectural and Functional Adaptations Following Long vs. Short Muscle Length Eccentric Training.

Most common preventive eccentric-based exercises, such as Nordic hamstring do not include any hip flexion. So, the elongation stress reached is lower than during the late swing phase of sprinting. The aim of this study was to assess the evolution of hamstring architectural (fascicle length and pennation angle) and functional (concentric and eccentric optimum angles and concentric and eccentric peak torques) parameters following a 3-week eccentric resistance program performed at long (LML) vs. short muscle length (SML). Both groups performed eight sessions of 3-5 × 8 slow maximal eccentric knee extensions on an isokinetic dynamometer: the SML group at 0° and the LML group at 80° of hip flexion. Architectural parameters were measured using ultrasound imaging and functional parameters using the isokinetic dynamometer. The fascicle length increased by 4.9% (p < 0.01, medium effect size) in the SML and by 9.3% (p < 0.001, large effect size) in the LML group. The pennation angle did not change (p = 0.83) in the SML and tended to decrease by 0.7° (p = 0.09, small effect size) in the LML group. The concentric optimum angle tended to decrease by 8.8° (p = 0.09, medium effect size) in the SML and by 17.3° (p < 0.01, large effect size) in the LML group. The eccentric optimum angle did not change (p = 0.19, small effect size) in the SML and tended to decrease by 10.7° (p = 0.06, medium effect size) in the LML group. The concentric peak torque did not change in the SML (p = 0.37) and the LML (p = 0.23) groups, whereas eccentric peak torque increased by 12.9% (p < 0.01, small effect size) and 17.9% (p < 0.001, small effect size) in the SML and the LML group, respectively. No group-by-time interaction was found for any parameters. A correlation was found between the training-induced change in fascicle length and the change in concentric optimum angle (r = -0.57, p < 0.01). These results suggest that performing eccentric exercises lead to several architectural and functional adaptations. However, further investigations are required to confirm the hypothesis that performing eccentric exercises at LML may lead to greater adaptations than a similar training performed at SML

Action on the social determinants for advancing health equity in the time of COVID-19: perspectives of actors engaged in a WHO Special Initiative

Since the 2008 publication of the reports of the Commission on Social Determinants of Health and its nine knowledge networks, substantial research has been undertaken to document and describe health inequities. The COVID-19 pandemic has underscored the need for a deeper understanding of, and broader action on, the social determinants of health. Building on this unique and critical opportunity, the World Health Organization is steering a multi-country Initiative to reduce health inequities through an action-learning process in ‘Pathfinder’ countries. The Initiative aims to develop replicable and reliable models and practices that can be adopted by WHO offices and UN staff to address the social determinants of health to advance health equity. This paper provides an overview of the Initiative by describing its broad theory of change and work undertaken in three regions and six Pathfinder countries in its first year-and-a-half. Participants engaged in the Initiative describe results of early country dialogues and promising entry points for implementation that involve model, network and capacity building. The insights communicated through this note from the field will be of interest for others aiming to advance health equity through taking action on the social determinants of health, in particular as regards structural determinants

Action on the social determinants for advancing health equity in the time of COVID-19: perspectives of actors engaged in a WHO Special Initiative.

Since the 2008 publication of the reports of the Commission on Social Determinants of Health and its nine knowledge networks, substantial research has been undertaken to document and describe health inequities. The COVID-19 pandemic has underscored the need for a deeper understanding of, and broader action on, the social determinants of health. Building on this unique and critical opportunity, the World Health Organization is steering a multi-country Initiative to reduce health inequities through an action-learning process in 'Pathfinder' countries. The Initiative aims to develop replicable and reliable models and practices that can be adopted by WHO offices and UN staff to address the social determinants of health to advance health equity. This paper provides an overview of the Initiative by describing its broad theory of change and work undertaken in three regions and six Pathfinder countries in its first year-and-a-half. Participants engaged in the Initiative describe results of early country dialogues and promising entry points for implementation that involve model, network and capacity building. The insights communicated through this note from the field will be of interest for others aiming to advance health equity through taking action on the social determinants of health, in particular as regards structural determinants

Équité en santé : un concept souvent galvaudé [Health equity: an often misused concept]

The use of the concept "health equity" is more and more widespread. It is often considered as a major objective in health policies aimed at improving healthcare for populations in a vulnerable situation. However, the understanding of "health equity" is often subject to confusion and it can be misinterpreted with the concept of "health equality". Although it may seem trivial at first sight, such confusion may lead to serious consequences for health policies and their implementation with the target populations. This article aims to provide a clarification of the concept of "health equity", while proposing definitions that are more suitable to the needs of professionals and their audience

Comprendre l’équité en santé grâce à l’intelligence artificielle. L’exemple de l’Agent-Based Modelling (ABM) [Understanding health equity through artificial intelligence The case of Agent-Based Modelling (ABM)]

Agent-Based Modelling (ABM) is a computer modelling technique that simulates the behaviour and interactions of autonomous agents within a virtual environment. Applied to health equity, this technique allows for a better understanding of the complex social and economic determinants that contribute to health inequities and enables the evaluation of the potential effects of public policies on the latter. Despite some limitations related to the accessibility and quality of health data and the complexity of the models, ABM appears to be a promising tool in the field of health equity, both for researchers in public or community health and for policy makers