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The particular HSP70 gene anticipates diagnosis and response to radiation throughout epithelial ovarian most cancers.
Background The aim of this study was to investigate the effectiveness of bone marrow-derived cells (BMC) technology in patients with heart failure and compare it with alternative therapies, including drug therapy, cardiac resynchronization therapy pacemaker (CRT-P), cardiac resynchronization therapy defibrillator (CRT-D). Methods A systematic review study was conducted to identify all clinical studies published by 2017. Using keywords such as "Heart Failure, BMC, Drug Therapy, CRT-D, CRT-P" and combinations of the mentioned words, we searched electronic databases, including Scopus, Cochrane Library, and PubMed. The quality of the selected studies was assessed using the Cochrane Collaboration's tool and the Newcastle-Ottawa. The primary and secondary end-points were left ventricular ejection fraction (LVEF) (%), failure cases (Number), left ventricular end-systolic volume (LVES) (ml), and left ventricular end-diastolic volume (LVED) (ml). Random-effects network meta-analyses were used to conduct a systematic cy in terms of failure cases index, had a higher level of clinical effectiveness. However, due to the lack of data asymmetry, insufficient data and head-to-head studies, BMC in this meta-analysis might be considered as an alternative to existing treatments for heart failure.The substantial increase in demand for medical care in intensive care units (ICUs) caused by the recent appearance of coronavirus disease 2019 (COVID-19) has placed severe pressure on hospital beds. Although countries have intensified efforts to contain or delay the spread of COVID-19, they must prepare to cope with the growing demand for critical care inpatient beds or risk being overwhelmed by the pandemic. The subject of this paper is the COVID-19 pandemic and the opportunity cost from the perspective of health economics using the supply and demand model of hospital bed days in ICUs. In this context, it has been seen that there is an excess demand for hospital beds that exceeds the supply of bed days provided by the health system, generating opportunity costs for patients who cannot be admitted to ICUs because beds are not available. Policymakers must take into account the notion of opportunity cost to ensure that scarce resources are used efficiently because patients with and without COVID-19 will be competing for the same ICU resources.Background Measuring hospital efficiency is one of the tools for determining how to use resources. Considering the necessity of measuring the efficiency in hospitals, the current study was conducted to evaluate the efficiency and its determining factors in the Hospitals affiliated to medical universities in Tehran. Methods This was a descriptive-analytical and longitudinal study. In the first stage of the research, the variables affecting the efficiency of hospitals were extracted using the Delphi method. In the second stage, th. Efficiency of 29 public hospitals in Tehran from 2012 to 2016 was calculated using data envelopment analysis techniques. We performed a sensitivity analysis of the efficiency scores by running the DEA model several times using different combinations of input variables. At last, applying the Tobit regression, factors explaining the inefficiencies of hospitals were determined. Data analysis was done by STATA 12 and SPSS 16 software. Significance level of all the tests was set at .05. Results In the first stage, 10 input variables and 10 output variables necessary from the mangers' point of view were identified to test efficiency. In the second stage, the mean of hospital efficiency was ascending from 2012 to 2015, and then it descending after 2015. According to the results of sensitivity analysis, despite the variability of technical efficiency during the study period (p less then 0.0001), the difference between the mean performance scores among different scenarios was not significant (p=0.066). Based on the third stage results, the average length of stay (Beta=-1.60E-12, p=0.030) and educational status (Beta=-2.89E+00, p=0.001) had a significant negative effect on hospitals' efficiency. Conclusion The study results indicated that the efficiency changes during the years investigated were significant among Tehran public hospitals. The optimal use of inputs to produce hospital services should be on the agenda of health managers and policymakers.This report is to describe a rare case of parotid metastasis from renal cell carcinoma (RCC) in a50- year- old male presenting with unilateral facial symptoms. Following investigations, the patient was diagnosed to have metastatic renal cell carcinoma. He was planned for radio-chemotherapy, and got deceased 1 year afterward.Background Lung CT scan has a pivotal role in diagnosis and monitoring of COVID-19 patients, and with growing number of affected individuals, the need for artificial intelligence (AI)-based systems for interpretation of CT images is emerging. In current investigation we introduce a new deep learning-based automatic segmentation model for localization of COVID-19 pulmonary lesions. Methods A total of 2469 CT scan slices, containing 1402 manually segmented abnormal and 1067 normal slices form 55 COVID-19 patients and 41 healthy individuals, were used to train a deep convolutional neural network (CNN) model based on Detectron2, an open-source modular object detection library. A dataset, including 1224 CT slices of 18 COVID-19 patients and 9 healthy individuals, was used to test the model. Results The accuracy, sensitivity, and specificity of the trained model in marking a single image slice with COVID-19 lesion were 0.954, 0.928, and 0.961, respectively. learn more Considering a threshold of 0.4% for percentage of lung involvement, the model was capable of diagnosing the patients with COVID-19 pneumonia, with a sensitivity of 0.982% and a specificity of 88.5%. Furthermore, the mean Intersection over Union (IoU) index for the test dataset was 0.865. Conclusion The deep learning-based automatic segmentation method provides an acceptable accuracy in delineation and localization of COVID-19 lesions, assisting the clinicians and researchers for quantification of abnormal findings in chest CT scans. Moreover, instance segmentation is capable of monitoring longitudinal changes of the lesions, which could be beneficial to patients' follow-up.Background Drop foot syndrome is a disorder characterized by foot slapping after the initial contact and foot-dragging during the swing phase. Passive and hybrid passive ankle foot orthoses (AFOs) are often prescribed in these patients; however, the effects of these AFO designs on kinematic parameters during gait are unclear. The aim of this study was to compare the effect of innovative designed storing-restoring hybrid passive AFOs versus posterior leaf spring AFO on ankle joint kinematics in drop foot patients. Methods The present study was a case series where a single case and 3 cases with drop foot syndrome were recruited. This study was designed in 2 phases the baseline phase with their PLS AFOs and an intervention phase in which innovative designed AFO were assessed. Each phase included 5 measurement sessions which were performed in 5 consecutive weeks. The celeration line method was used to detect the significant differences between the phases. Results The results of this study showed a significant increase in the kinematic angles parameters at the initial contact, the loading response, the mid stance, terminal stance, pre swing, initial swing, mid swing, and terminal swing with the innovative designed AFO than with PLS AFO (p less then 0.05). Conclusion The results of the present study suggested that use of the innovative designed AFO may have a positive effect on ankle joint kinematics parameters in people with drop foot.Background Physical inactivity (PA) is one of the leading modifiable risk factors for noncommunicable diseases (NCDs) worldwide. This study aimed to determine PA levels and related sociodemographic factors as risk factors for NCDs among Iranian adults. Methods In this cross sectional study, data were collected from the sixth nationwide STEPS survey in 31 provinces of Iran. A total of 6100 individuals aged 18-64 years were selected by a multistage cluster sampling method, and their PA levels were assessed using the Global Physical Activity Questionnaire (GPAQ). Data were analyzed using descriptive methods and analytical tests, including chi-square, ANOVA, and independent t tests in SPSS version 21 software. Results The prevalence of vigorous, moderate, and low levels of PA was 36.3% (95%CI35.1-37.5), 29.2% (95%CI28-30.3), and 34.5% (95%CI33.3-35.7) in participants, respectively. The mean ± SD of total MET-min/week was 1842.3±2619.3. Total mean ± SD duration of PA was 98.2 ± 115 min/week (125.8±142.6 and 77.2±84.5 min/week in men and women, respectively). Transport-related PA and severe PA at work had large and small contributions to overall PA, respectively. Urbanization, sex, age, family size, and occupation status were identified as factors associated with PA levels (p less then 0.001). Conclusion This study revealed a significant prevalence of low PA among the target population and some sociodemographic characteristics identified as factors associated with PA. Identification of these factors can develop more effective interventions to promote PA.Background The world is facing a pandemic of COVID-19, a respiratory disease caused by a novel coronavirus which is now called SARS-CoV-2. Current treatment recommendations for the infection are mainly repurposed drugs based on experience with other clinically similar conditions and are not backed by direct evidence. Chloroquine (CQ) and its derivative Hydroxychloroquine (HCQ) are among the candidates. We aimed to synthesize current evidence systematically for in vitro, animal, and human studies on the efficacy and safety of chloroquine in patients with COVID-19. Methods The Cochrane Library, Google Scholar, PubMed (via Medline), Embase, Scopus, and Web of Science, MedRxiv, clinical trial registries including clinicaltrials.gov, ChiCTR (Chinese Clinical Trial Registry), IRCT (Iranian Registry of Clinical Trials), and the EU Clinical Trials Register. We used the Cochrane tool for risk of bias assessment in randomized studies, the ROBINS tool for non-randomized studies, and the GRADE methodology to summarize th inconsistent findings which fail to show significant efficacy for HCQ. Safety data is also limited but the drug may increase adverse outcomes. Routine use of the drug is not recommended based on limited efficacy and concerns about the drug safety especially in high-risk populations.Background This study aimed to provide information on activities and experiences of Nongovernmental organizations in Tabriz regarding COVID-19 to develop a framework for effective measures and actions for other communities based on relevant achievements and experiences. Method The Social determinants of health research center of Tabriz University of Medical Sciences coordinated the NGOs to deal with the consequences of COVID-19 disease by announcing, inviting, developing networks and preparing aims and objectives and action plans in participation with the NGOs. Results This cooperation and synergy among NGOs led to following results providing public health education, fund raising to provide health service and food items for vulnerable families, advocacy by writing letters to the governor and the City Council and emphasizing the needs for controlling the epidemics. Conclusion NGOs can increase public awareness, change social policies, and provide services and facilities to the vulnerable groups of people to deal with these problems.
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