Compared to recent studies from Europe, where the incidence of TSCI is between 15 and 30 per million population, the incidence of TSCI in Estonia is among the highest. The rates are significantly higher in men compared with women and especially among the youngest men. The leading cause of TSCI is falls. A significant proportion of injuries are related to alcohol consumption before trauma in Estonia.
Although the two cohorts had similar demographic, injury and clinical characteristics, the age profile of the victims was different. The incidence rate was 1.5 times higher and SMR was 2.7 times higher in Estonia. Probable explanations for the different outcomes of the two European countries are socioeconomic differences, lower physical activity level, lower life expectancy and insufficient injury prevention programmes in Estonia.
Our study shows that, when the cases that die at the scene of the accident are included, the incidence of TSCI in Estonia rises from 39.7 to 97.0 per million population.
Objective To determine a predictive factor for the risk of conversion from ocular myasthenia gravis ( OMG ) to generalized MG ( GMG ) in a prospective study. Methods RNA was isolated from serum samples and detection of micro RNA (mi RNA ) expression analyzed with qPCR . In the discovery set, 179 human mi RNA s were assayed for profiling of five OMG patients and four age‐ and gender‐matched healthy controls. Based on the specific accumulation pattern of 19 mi RNA s from the discovery set, in addition to mi RNA s previously found elevated in generalized MG ( GMG ; miR‐150‐5p and miR‐30e‐5p), 21 mi RNA s were subsequently analyzed in a validation cohort of 83 OMG patients (82 immunosuppression treatment naive; 49 male) within 3 months of diagnosis and at a follow‐up visit (median duration 28 months from first visit). Results Thirteen patients generalized 14.8 ± 12.0 months after the diagnosis and the majority (85%) belonged to the late onset MG group. Two mi RNA s were significantly higher in secondary GMG ( SGMG ) patients compared to OMG patients with late onset MG : miR‐30e‐5p (9.1 ± 0.5 vs. 6.3 ± 0.9; P < 0.0001) and miR‐150‐5p (7.4 ± 1.1 vs. 6.4 ± 1.1; P = 0.01). The sensitivity for miR‐30e‐5p in differentiating OMG and SGMG was 96% in all OMG patients and 100% in late onset OMG patients. Interpretation This is the first study to describe a potential predictive factor associated with the risk of generalization for patients with OMG . Raised levels (>8) of miR‐30e‐5p at initial presentation in patients with ocular MG symptoms, give a predictive cut‐off for subsequent generalization of 96–100%.
There are no biomarkers for late onset myasthenia gravis (LOMG; onset >50 years). We evaluated circulating microRNA in a discovery cohort of 4 LOMG patients and 4 healthy controls and in a prospective diagnostic validation cohort of 73 LOMG patients (48 male) with longitudinal follow-up samples. In immunosuppression naïve patients, levels of miRNAs miR-150-5p, miR-21-5p and miR-30e-5p decreased in parallel with clinical improvement after initiation of immunosuppression and their levels positively correlated with the clinical MG composite score. Levels of miR-150-5p and miR-21-5p were lower in patients with ocular compared to generalized LOMG. Circulating miR-150-5p, miR-21-5p and miR-30e-5p correlate with the clinical course in LOMG.
Study design: Retrospective population-based study with mortality follow-up. Objective: To study mortality, causes and risk factors for death in Estonian patients with traumatic spinal cord injury (TSCI). Setting: All Estonian hospitals. Methods: Medical records of patients with TSCI from all regional, central, general, and rehabilitation hospitals in Estonia from 1997 to 2007, were retrospectively reviewed. Mortality status was ascertained as of 31 December 2011. Causes of death were collected from the Estonian Causes of Death Registry. Standardized mortality ratios (SMRs) were calculated for the entire sample and for causes of death. A Cox proportional hazards modeling was used to identify the risk indicators for death. Results: During the observation period (1997-2011) 162 patients of 595 died. Nearly half of the patients (n = 76) died during the first year after TSCI. The main causes of death were external causes (30%), cardiovascular disease (29%). and suicide (8%). The overall SMR was 2.81 (95% confidence interval 2.40-3.28) and SMR was higher for women than for men (3.80 vs. 2.70). Cause-specific SMRs were markedly elevated for sepsis and suicide. Mortality was significantly affected by the age at the time of injury, neurological level, and extent of the injury as well as the year of TSCI and complications. Conclusion: Life expectancy is significantly decreased in patients with TSCI in Estonia compared with the general population. Deaths during the first year after the injury have an important impact on statistics. Treatment of cardiovascular diseases, infections, and prevention of suicide are useful for reducing mortality in patients with TSCI.
Myasthenia gravis (MG) is an autoimmune disease caused by antibodies which attack receptors at the neuromuscular junction. One of the main difficulties in predicting the clinical course of MG is the heterogeneity of the disease, where disease progression differs greatly depending on the subgroup that the patient is classified into. MG subgroups are classified according to: age of onset [early-onset MG (EOMG; onset ≤ 50 years) versus late-onset MG (LOMG; onset > 50 years]; the presence of a thymoma (thymoma-associated MG); antibody subtype [acetylcholine receptor antibody seropositive (AChR+) and muscle-specific tyrosine kinase antibody seropositive (MuSK+)]; as well as clinical subtypes (ocular versus generalized MG). The diagnostic tests for MG, such as antibody titers, neurophysiological tests, and objective clinical fatigue score, do not necessarily reflect disease progression. Hence, there is a great need for reliable objective biomarkers in MG to follow the disease course as well as the individualized response to therapy toward personalized medicine. In this regard, circulating microRNAs (miRNAs) have emerged as promising potential biomarkers due to their accessibility in body fluids and unique profiles in different diseases, including autoimmune disorders. Several studies on circulating miRNAs in MG subtypes have revealed specific miRNA profiles in patients' sera. In generalized AChR+ EOMG, miR-150-5p and miR-21-5p are the most elevated miRNAs, with lower levels observed upon treatment with immunosuppression and thymectomy. In AChR+ generalized LOMG, the miR-150-5p, miR-21-5p, and miR-30e-5p levels are elevated and decrease in accordance with the clinical response after immunosuppression. In ocular MG, higher levels of miR-30e-5p discriminate patients who will later generalize from those remaining ocular. In contrast, in MuSK+ MG, the levels of the let-7 miRNA family members are elevated. Studies of circulating miRNA profiles in Lrp4 or agrin antibody-seropositive MG are still lacking. This review summarizes the present knowledge of circulating miRNAs in different subgroups of MG.
Objectives: To describe health-related quality of life (HRQoL) in persons with traumatic spinal cord injury (TSCI) and to assess factors that affect HRQoL. Study design: Cross-sectional. Methods: Eighty Estonian-speaking TSCI patients from the Estonian TSCI database were included in the study. The RAND-36 questionnaire, the Life Orientation Test, the Emotional State Questionnaire and the Brief Social Support Questionnaire were used. Results: There were 66 men and 14 women; the mean age was 38.9 ± 14.8 years. The mean time that had elapsed since injury was 4.2 years. According to the RAND-36 scales, the lowest scores were given for physical health-related domains, followed by the energy/ fatigue and the general health domains. The regression analysis adjusted to age and gender revealed that age, employment and category of the American Spinal Injury Association (ASIA) Impairment Scale during the acute phase of injury were significant factors in predicting physical functioning (Po0.001). Age, depression and general anxiety were significant predictors of emotional well-being (Po0.001). Age and depression were independently associated with general health (Po0.001). Conclusion: As expected, physical functioning and physical role limitation were the most pronounced deficits in HRQoL. Compared with data from other countries, all scores for the RAND-36 scales are lower in Estonian TSCI patients. The HRQoL following TSCI is affected by severity of injury, depression, age and employment status. Spinal Cord (2014) 52, 570-575; doi:10.1038/sc.2014.47; published online 6 May 2014 INTRODUCTIONThe annual incidence rate of traumatic spinal cord injury (TSCI) in Estonia is 39.7 per 1 000 000 population, 1 being the highest among other European countries where the mean incidence rate is about 15 per 1 000 000 population. 2 One possible explanation for this difference in incidence rates is the variance in surveillance methods.Similarly to the other studies, the most frequent cause of TSCI was falls followed by traffic accidents, and the majority of patients were young. 1,2 The TSCI can result in devastating effects not only on physical functioning and independence but also on the psychological and social functioning of the injured person. 3 The outcomes of TSCI can be assessed in several ways, such as physiological functioning as well as social and psychological adjustment. Recently, there has also been growing interest in evaluation of the individual's well-being after diseases or disabilities, because improvement in daily functioning and well-being are important goals in treatment of people with TSCI. The impact of TSCI on quality of life (QOL) is important information, especially for monitoring and organising health-care services. 4 There are no comparable studies from Eastern Europe dealing with how individuals with SCI have scored on HRQoL measures. 5,6 The Medical Outcomes Study 36-item short-form health status survey (MOS SF-36) has proved to be useful in estimating the relative burden of different diseases in general and ...
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