Loomiscarstensen1581

Background Availability and opportunity of epilepsy diagnostic services is a significant challenge, especially in developing countries with a low number of neurologists. The most commonly used test to diagnose epilepsy is electroencephalogram (EEG). A typical EEG recording lasts for 20 to 30 minutes; however, a specialist requires much more time to read it. Furthermore, no evidence was found in the literature on open-source systems for the cost-effective management of patient information using electronic health records (EHR) that adequately integrate EEG analysis for automatic identification of abnormal signals. Objective To develop an integrated open-source EHR system for the management of the patients' personal, clinical, and EEG data, and for automatic identification of abnormal EEG signals. Methods The core of the system is an EHR and telehealth service based on the OpenMRS platform. On top of that, we developed an intelligent component to automatically detect abnormal segments of EEG tests using macg countries where the number of neurologists is low.Purpose The objective of this study was to review most of the existing free m-Health applications (Apps) that use the gamification approach to manage diabetes type 1 in both App and Google Play stores. Methods Free mobile health applications "apps" that were related to diabetes mellitus have been identified in both App and Google Play stores. In order to cover all the mentioned applications, the following keywords, "game for type 1 diabetes" and "gamification for type 1 diabetes" were used in English and Arabic languages. All applications that were collected in the inclusion process were carefully analyzed, and the game name, game description, game features, game mechanics, game themes, and operating systems were recorded. Results A total of eight gamified applications related to type 1 diabetes were identified. Seven of these applications were in English language and only one application was in Arabic language. The applications were categorized into three main categories based on the theme of the application. The categories were taking care of a character, quizzes, and the storytelling theme. Ravoxertinib cost Moreover, there was no application that included the social networking feature. Conclusion This study highlighted the most important features of the free mobile health applications "apps" for diabetes type 1 available in Google Play and App stores that can contribute to enhance the self-management of the diabetes condition by patients in Saudi Arabia. The identified applications have important characteristics that can be used in the future for the care and self-control of type 1 diabetic patients in Saudi Arabia.Purpose To document the mammographic breast density (MBD) distribution of Jordanian women and the relationship with MBD with age. Correlation between breast cancer diagnosis and density was also explored. Methods A retrospective review of 660 screening mammograms from King Abdullah University Hospital was conducted. Mammograms were classified into 2 groups normal (return to routine screening) and breast cancer and rated using the American College of Radiology (ACR) Breast Imaging-Reporting and Data System (BI-RADS) 5th edition for MBD. The association between MBD and age was assessed by descriptive analyses and Kruskal-Wallis test. To compare between normal and breast cancer groups, chi-square post hoc tests with Bonferroni adjustment was used. Results Groups consisted of 73.9% (n = 488) normal group and 26.1% (n = 172) breast cancer group. A significant inverse relationship was demonstrated between age and MBD among the normal (r = -.319, P less then .01) and breast cancer group (r = -.569, P less then .01). In total, 69% (n = 336) of women in the normal group and 71% (n = 122) in the breast cancer group and 79.1% (n = 159) of the normal group and 100% (n = 48) of the breast cancer group aged 40 to 49 years reported high MBD (ACR BI-RADS c or d). Conclusions Most of women in both the normal and breast cancer groups evidenced increased MBD. Increased MBD was inversely proportional to age. As MBD has a known link to increased breast cancer risk and the decreased sensitivity of mammography and it is vital that future screening guidelines for Jordanian women consider the unique breast density distribution of this population.Purpose To validate a 10-point scoring system for the prediction of successful treatment modality in patients with cesarean scar pregnancy (CSP). Patients and methods Data were collected from women seen between April 1, 2018, and June 30, 2019, at the Second Affiliated Hospital of Army Medical University of China who were diagnosed with CSP and underwent evacuation, followed by uterine artery embolization (UAE) and successive laparoscopic local resection as salvage treatment if necessary. A score was computed based on clinical and ultrasonographic parameters included in a previously developed scoring system. Treatment indicated by the scoring system was compared with actual treatment received. Receiver operating characteristic (ROC) curves were used to identify cut-off scores for salvage treatment. Results Of 183 women, 108 were successfully treated by evacuation, 57 required UAE, and 18 eventually underwent laparoscopic surgery. Among 97 women scoring 0-4, 89 (91.8%) were treated by evacuation only. Of 69 women scoring between 5 and 7, 44 (63.8%) needed UAE following evacuation. Of 17 women scoring 8-10, 10 women (58.8%) underwent laparoscopic surgery. A cut-off of 4.145 was obtained by ROC curve for prediction of any salvage treatment; this was comparable to the scale's conventional cut-off of 4. The cut-off score for women requiring laparoscopic surgery was 6.580, which was lower than 8 obtained in the scale's initial validation. Conclusion The overall performance of the 10-point scoring system was moderate for predicting successful treatment modalities of women with CSP, but the scale showed good predictive ability in recognizing women needing only evacuation before recovery.Purpose This study aims to develop an algorithm to predict cement injection volumes in patients with spine metastases treated with percutaneous vertebroplasty (PVP). Risk factors were also analyzed for intra-spinal canal cement leakages. Patients and methods A retrospective analysis of 584 vertebrae in 251 patients. Patients and vertebrae were divided into three groups based on grades of tumor invasion to the spinal cord. Patients with the complete posterior wall of vertebrae were classified into group A, patients without the complete posterior wall of vertebrae but with normal Dural sac were classified into group B, and patients with deformation of the Dural sac but without neurological symptom were classified into group C. We systematically reviewed demographic data, clinical parameters, radiology features, and cement leakages among the three groups. The multiple linear regressions were used to screen potential risk factors and develop the algorithm to predict injected cement volumes in vertebrae. Significant factors were included in the algorithm.