Objective Coronavirus disease 19 (COVID-19) caused by the highly pathogenic SARS-CoV-2, was first reported from Wuhan, China, in December 2019. The present study assessed possible associations between one-month mortality and demographic data, SpO 2 , underlying diseases and laboratory findings, in COVID-19 patients. Also, since recent studies on COVID-19, have focused on Neutrophil-to-lymphocyte ratio (NLR) as an independent risk factor of the in-hospital death and a significant prognostic biomarker of outcomes in critically ill patients, in this study, we assessed predictive potential of this factor in terms of one-month mortality. Methods Patients admitted to Imam Reza hospital, affiliated to Mashhad University of Medical Sciences, Mashhad, Iran, from March to June 2020, with positive RT-PCR results for SARS-CoV-2, were included in this study. Kaplan-Meier survival analysis and Cox proportional hazard model were used to respectively estimate one-month mortality since admission and determine factors associated with one-month mortality. Results In this retrospective cohort study, 219 patients were included (137 men and 82 women (mean age 58.2 ± 16 and 57 ± 17.3 years old, respectively)). Hypertension, ischemic heart disease and diabetes were respectively the most common comorbidities. Among these patients, 63 patients were admitted to the ICU and 31 deaths occurred during one-month follow-up. With respect to mean peripheral capillary oxygen saturation (SpO 2 ), 142 patients had SpO 2 ≤ 90%. Based on our analysis, older age and increased Neutrophil-to-lymphocyte ratio (NLR), and White blood cells (WBC) count were associated with increased risk of one-month mortality. Patients with SpO 2 ≤ 90% had a 3.8-fold increase in risk of one-month death compared to those with SpO 2 > 90%, although the difference did not reach a significant level. Conclusion Multivariate analysis introduced age, WBC count, and NLR as predictors of one-month mortality in COVID-19 patients.
Mozart's music has been shown to have promising effects on nervous system functions. In this study, the effects of Mozart's work on epilepsy were reviewed. Articles were obtained from a variety of sources. The results of 12 studies were extracted. Three different meta-analyses were performed to examine (i) the percentage of patients who had changes in their interictal epileptic discharges (IEDs) by music therapy; and the changes of IEDs (ii) during and (iii) after exposure to Mozart's music. Data analysis indicated that 84% of patients listening to Mozart's music showed a significant decrease in IEDs. In addition, IEDs were decreased during (31.24%) and after (23.74%) listening to Mozart's compositions. A noteworthy response to music therapy in patients with a higher intelligence quotient, generalized or central discharges, and idiopathic epilepsy was demonstrated. The effect of Mozart's music on epilepsy seems to be significant. However, more randomized control studies are needed to determine its clinical efficacy.
Objectives The ongoing Coronavirus disease 2019 (COVID-19) pandemic has drastically impacted the global health and economy. Computed tomography (CT) is the prime imaging modality for diagnosis of lung infections in COVID-19 patients. Data-driven and Artificial intelligence (AI)-powered solutions for automatic processing of CT images predominantly rely on large-scale, heterogeneous datasets. Owing to privacy and data availability issues, open-access and publicly available COVID-19 CT datasets are difficult to obtain, thus limiting the development of AI-enabled automatic diagnostic solutions. To tackle this problem, large CT image datasets encompassing diverse patterns of lung infections are in high demand. Data description In the present study, we provide an open-source repository containing 1000+ CT images of COVID-19 lung infections established by a team of board-certified radiologists. CT images were acquired from two main general university hospitals in Mashhad, Iran from March 2020 until January 2021. COVID-19 infections were ratified with matching tests including Reverse transcription polymerase chain reaction (RT-PCR) and accompanying clinical symptoms. All data are 16-bit grayscale images composed of 512 × 512 pixels and are stored in DICOM standard. Patient privacy is preserved by removing all patient-specific information from image headers. Subsequently, all images corresponding to each patient are compressed and stored in RAR format.
Despite the younger age of stroke occurrence in Iran, the one-year case fatality rate following stroke is similar to that reported in developed countries.
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