10 research outputs found

    Epidemiology of traumatic spinal cord injury in Galicia, Spain: trends over a 20-year period

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    [Abstract] Study design: Observational study with prospective and retrospective monitoring. Objective: To describe the epidemiological and demographic characteristics of traumatic spinal cord injury (TSCI), and to analyze its epidemiological changes. Setting: Unidad de Lesionados Medulares, Complejo Hospitalario Universitario A Coruña, in Galicia (Spain). Methods: The study included patients with TSCI who had been hospitalized between January 1995 and December 2014. Relevant data were extracted from the admissions registry and electronic health record. Results: A total of 1195 patients with TSCI were admitted over the specified period of time; 76.4% male and 23.6% female. Mean patient age at injury was 50.20 years. Causes of injury were falls (54.2%), traffic accidents (37%), sports/leisure-related accidents (3.5%) and other traumatic causes (5.3%). Mean patient age increased significantly over time (from 46.40 to 56.54 years), and the number of cases of TSCI related to traffic accidents decreased (from 44.5% to 23.7%), whereas those linked to falls increased (from 46.9% to 65.6%). The most commonly affected neurological level was the cervical level (54.9%), increasing in the case of levels C1–C4 over time, and the most frequent ASIA (American Spinal Injury Association) grade was A (44.3%). The crude annual incidence rate was 2.17/100 000 inhabitants, decreasing significantly over time at an annual percentage rate change of −1.4%. Conclusions: The incidence rate of TSCI tends to decline progressively. Mean patient age has increased over time and cervical levels C1–C4 are currently the most commonly affected ones. These epidemiological changes will eventually result in adjustments in the standard model of care for TSCI

    Mathematical models for immunology:current state of the art and future research directions

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    The advances in genetics and biochemistry that have taken place over the last 10 years led to significant advances in experimental and clinical immunology. In turn, this has led to the development of new mathematical models to investigate qualitatively and quantitatively various open questions in immunology. In this study we present a review of some research areas in mathematical immunology that evolved over the last 10 years. To this end, we take a step-by-step approach in discussing a range of models derived to study the dynamics of both the innate and immune responses at the molecular, cellular and tissue scales. To emphasise the use of mathematics in modelling in this area, we also review some of the mathematical tools used to investigate these models. Finally, we discuss some future trends in both experimental immunology and mathematical immunology for the upcoming years

    Epidemiology of traumatic spinal cord injuries in Iceland from 1975 to 2009.

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    To access publisher full text version of this article. Please click on the hyperlink in Additional Links field.Retrospective population-based epidemiological study. To assess the nationwide, population-based incidence, causes, age, gender, extent and prevalence of spinal cord injuries (SCIs) in Iceland from 1975 to 2009. Landspitali University Hospital in Iceland, the single referral center for SCIs in Iceland. A retrospective review of hospital records on all admissions due to SCIs. Analysis of incidence, causes, age, gender, extent of injury and prevalence. A total of 207 patients with traumatic spinal cord injury (TSCI) were admitted: males 72%, females 28%. The percentage of females with TSCI increased to 37% in 2000-2004. Mean age at injury was 38 years. Average incidence per million population per year was 30 in 1975-1979, 12.5 in 1995-1999 and 33.5 in 2005-2009. Thirty-day mortality was 6.3%. Causes of injury were road traffic accidents (RTA) in 42.5% of the cases; the majority did not use seatbelts. Falls amounted to 30.9%, with an increase of low falls among the elderly causing incomplete cervical lesions. Sport/leisure activities were the cause in 18.8%, of which 54% occurred after 2000. The main single cause of TSCI in sport/leisure were horse-riding accidents, followed by winter sport accidents, especially among women. Other causes constituted 7.7%. The injury was complete in 39%; cervical lesions were 57% and thoracic/lumbar lesions were 43%. In December 2009, the crude prevalence rate was 526 per million population. The findings showed a significant increase of TSCI in 2005-2009, especially in sport/leisure accidents and incomplete cervical lesions due to falls among elderly. Prevention strategies need to focus on these risk groups and on seatbelt use.Landspitali University Hospita

    Finite element modelling of the femur bone of a subject suffering from motor neuron lesion subjected to electrical stimulation

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    To access publisher's full text version of this article, please click on the hyperlink in Additional Links field or click on the hyperlink at the top of the page marked Files. This article is open access.Bone loss and a decrease in bone mineral density is frequently seen in patients with motor neuron lesion due to lack of mechanical stimulation. This causes weakening of the bones and a greater risk of fracture. By using functional electrical stimulation it is possible to activate muscles in the body to produce the necessary muscle force to stimulate muscle growth and potentially decrease the rate of bone loss. A longitudinal study was carried out on a single patient undergoing electrical stimulation over a 6 year period. The patient underwent a CT scan each year and a full three dimensional finite element model for each year was created using Mimics (Materialise) and Abaqus (Simulia) to calculate the risk of fracture under physiologically relevant loading conditions. Using empirical formulas connecting the bone mineral density to the stiffness and ultimate tensile stress of the bone, each element was assigned a unique material property, based on its density. The risk of fracture was estimated by calculating the ratio between the predicted stress and the ultimate tensile stress, should it exceed unity, failure was assumed. The results showed that the number of elements that were predicted to be at risk of failure varied between years
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