A Pilot Study of Application of the Stroke Riskometer Mobile App for Assessment of the Course and Clinical Outcomes of COVID-19 among Hospitalized Patients.

INTRODUCTION: Early determination of COVID-19 severity and health outcomes could facilitate better treatment of patients. Different methods and tools have been developed for predicting outcomes of COVID-19, but they are difficult to use in routine clinical practice. METHODS: We conducted a prospective cohort study of inpatients aged 20-92 years, diagnosed with COVID-19 to determine whether their individual 5-year absolute risk of stroke at the time of hospital admission predicts the course of COVID-19 severity and mortality. The risk of stroke was determined by the Stroke Riskometer mobile application. RESULTS: We examined 385 patients hospitalized with COVID-19 (median age 61 years). The participants were categorized based on COVID-19 severity: 271 (70.4%) to the "not severe" and 114 (29.6%) to the "severe" groups. The median risk of stroke the next day after hospitalization was significantly higher among patients in the severe group (2.83, 95% CI: 2.35-4.68) versus the not severe group (1.11, 95% CI: 1.00-1.29). The median risk of stroke and median systolic blood pressure (SBP) were significantly higher among non-survivors (12.04, 95% CI: 2.73-21.19) and (150, 95% CI: 140-170) versus survivors (1.31, 95% CI: 1.14-1.52) and (134, 95% CI: 130-135), respectively. Those who spent more than 2.5 h a week on physical activity were 3.1 times more likely to survive from COVID-19. Those who consumed more than one standard alcohol drink a day, or suffered with atrial fibrillation, or had poor memory were 2.5, 2.3, and 2.6 times more likely not to survive from COVID-19, respectively. CONCLUSIONS: High risk of stroke, physical inactivity, alcohol intake, high SBP, and atrial fibrillation are associated with severity and mortality of COVID-19. Our findings suggest that the Stroke Riskometer app could be used as a simple predictive tool of COVID-19 severity and mortality.

Tobacco use among Kola Sámi, the indigenous people of the Murmansk region, Russia: A cross-sectional study.

Russia is among the top ten nations in terms of smoking prevalence. Little is known about smoking rates among Indigenous Peoples in Russia. Our aim was to assess the prevalence of tobacco and nicotine product use among Kola peninsula Sámi. An exploratory cross-sectional survey was conducted to determine tobacco or nicotine product use among 505 Sámi people (about 30% of the whole Sámi population of Russia). Over 60% of participants had tried tobacco or nicotine products. Median age of first use was 15 years, with cigarettes being the most frequent first product tried and the most common type of product used currently. About a third of participants used a tobacco or nicotine product at least occasionally; 25% (predominantly males) smoked at least occasionally with 23.8% smoking daily. Of participants who smoked, 52.5% scored medium and 44.2% scored high on the Heaviness of Smoking Index. Seventeen percent of participants smoked formerly but not currently. Like some other Indigenous Peoples, Kola Sámi in Russia have a higher smoking prevalence than the average among the Russian population. Interest in a smoking cessation mobile app designed for the Sámi population suggests that such an intervention could help to reduce this inequity.

Burst fractures lead to a fracture-associated intervertebral vacuum phenomenon: a case series of 305 traumatic fractures of the thoracolumbar spine.

PURPOSE: Intervertebral vacuum phenomenon (IVP) is mainly seen as a sign of degenerative disc diseases. Although studies have shown that IVP also occurs after traumatic injuries to the spine, its clinical relevance in spinal fractures remains unknown. Therefore, the aim of this study was to analyse the prevalence, demographic parameters and fracture morphology in patients with fracture-associated IVP (FAVP) of the thoracolumbar spine. METHODS: In this retrospective cohort study, patients with traumatic fractures of the thoracolumbar spine who were admitted between January 2014 and December 2015 were included. CT scans were assessed for the presence of intervertebral areas of gaseous radiolucency, which were defined as IVP. Fractures were classified according to the AOSpine Thoracolumbar Spine Injury Classification System. Demographic and anamnestic data, including age, sex and trauma mechanism, were documented. RESULTS: A total of 201 patients with 305 fractures were included. Seventy-three patients with 98 fractures had follow-up CTs. Sixty-eight patients had IVP, of whom 46 patients had FAVP. On the follow-up CT, a significant correlation was found between A3 fractures and FAVP, while initial FAVP was significantly correlated with age and low-velocity trauma mechanisms. Initial degenerative IVP also showed a significant correlation with age. CONCLUSIONS: FAVP occurred significantly more often in burst fractures and therefore may lead to disc degeneration due to nutritional supply disturbances via the vertebral endplate. As surgical management strategies for burst fractures are intensively discussed, the appearance of FAVP should be taken in consideration.

[Influence of trauma mechanisms on thoracic and lumbar spinal fractures]. / Einfluss des Unfallmechanismus auf die Wirbelkörperfraktur.

BACKGROUND: Vertebral body fractures (VBF) can be caused by various trauma mechanisms. The AOSpine classification system differentiates three main types of fractures according to the grade of instability. How the increasing energy of various accident mechanisms changes the complexity of the individual fracture, its localization and the occurrence of further fractures has not yet been finally investigated. OBJECTIVE: What influence do traumatic events with different kinematics have on the localization, complexity and number of VBF in the thoracic and lumbar spine? MATERIAL AND METHODS: In this retrospective study data from patients with a freshly traumatized VBF were analyzed. The patients were divided into six trauma groups (UFG) depending on the trauma mechanism. The VBF were classified on the basis of computed tomography (CT) imaging according to the AOSpine classification system. Testing was performed bilaterally and a significance level of 5% was used. The statistical calculations were carried out using IBM SPSS Statistics. RESULTS: A significant increase in the severity of fractures (AO classification) was found in the high energy trauma groups (UFG III and V). In addition, the incidence of thoracic (TH) VBF was significantly increased for TH7 (p = 0.011) and TH10 (p = 0.001). In comparison to the other low energy trauma groups, the risk of a TH7 fracture was 7­times higher after a high energy trauma (odds ratio OR = 7.0; 95% confidence interval CI = 1.4; 35.2). The UFG III (falls > 3 m) showed the highest number of fractures with a median of 2.5 (SD 1.84) VBF. CONCLUSION: An exact reproduction of the traumatic event enables a distinction between high and low energy trauma groups to be made. In previous studies traffic accidents were recorded as one group, so an influence of the increasing kinematic energy could not be assessed. The accident kinematics can be taken into account by differentiating between high and low-energy trauma groups. In high-energy accidents the TH7 and TH10 vertebrae were found to be at risk vertebrae. In addition to the force direction, the force strength also has a decisive influence on the distribution pattern of VBF.

Remote measurement of sunflower seed moisture content by the use of microwaves.

BACKGROUND: Modern agriculture demands new methods and equipment that allow operators to conduct the instant control of moisture content over a wide area of agricultural fields with the purpose of providing farmers with the optimal moment of harvesting mature seeds and crops. Here the authors propose a new method and experimentally investigate the possibility to accomplish remote sensing of the moisture content of sunflower seeds using microwave radiation in the millimeter range. RESULTS: An experimental device for measuring the coefficient of reflection of electromagnetic waves from sunflower inflorescences in the frequency range 25.9-37.5 GHz was created. The obtained results showed that the moisture content of mature sunflower seeds affected the reflected signal. A difference in the reflected signal from the front and back sides of unripe sunflower inflorescences was also found. CONCLUSION: The results show that microwave radiation can be used to determine the degree of readiness of seeds for harvesting. The proposed new method opens up the possibility of remote instant diagnosis of sunflower seed ripeness in the field. © 2017 Society of Chemical Industry.

Epsilon-optimal non-Bayesian anomaly detection for parametric tomography.

The non-Bayesian detection of an anomaly from a single or a few noisy tomographic projections is considered as a statistical hypotheses testing problem. It is supposed that a radiography is composed of an imaged nonanomalous background medium, considered as a deterministic nuisance parameter, with a possibly hidden anomaly. Because the full voxel-by-voxel reconstruction is impossible, an original tomographic method based on the parametric models of the nonanomalous background medium and radiographic process is proposed to fill up the gap in the missing data. Exploiting this "parametric tomography," a new detection scheme with a limited loss of optimality is proposed as an alternative to the nonlinear generalized likelihood ratio test, which is untractable in the context of nondestructive testing for the objects with uncertainties in their physical/geometrical properties. The theoretical results are illustrated by the processing of real radiographies for the nuclear fuel rod inspection.