16 research outputs found

    Impact of painting therapy on aggression and anxiety of children with cancer

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    Background: Cancer is a major source of distress such as aggression and anxiety. It becomes a traumatic and painful for both children and their family. Therefore, the aim of this study was to investigate the influence of painting therapy on the reduction of aggression and anxiety among hospitalized children with cancer (8-12 aged). Methods: The study was semi-experimental with pretest-posttest and treatment group. Thirty hospitalized children with cancer (8-12 aged), who obtained one score above the mean scores in Spence Children's Anxiety Scale and Children's Inventory of Anger (ChIA) were selected from Shafa Hospital in Ahvaz. Then, they were randomly divided into the control and experimental groups. The intervention group received techniques of painting therapy for 11 treatment sessions (60 minutes for each session, twice per week). Data were analyzed using covariance. Results: The results indicated that there was a significant difference between the pretest and post-test scores in aggression (±SD: 60.9±13.56, 40.90±8.52; F=118.79, p<0.001) and anxiety (±SD:15.75 ± 2.97, 10.60±2.92; F=118.79, p<0.001) in experimental group. Conclusions: Findings indicated that painting therapy impacted on the reduction of the aggression and anxiety in children with cancer. Therefore, it would be considered as the therapeutic interventions for releasing the negative emotion in children with cancer

    Risk factors associated with long covid syndrome: A retrospective study

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    Background: Recently, people have recognized the post-acute phase symptoms of the COVID-19. We investigated the long-term symptoms associated with COVID-19, (Long COVID Syndrome), and the risk factors associated with it. Methods: This was a retrospective observational study. All the consecutive adult patients referred to the healthcare facilities anywhere in Fars province from 19 February 2020 until 20 November 2020 were included. All the patients had a confirmed COVID-19 diagnosis. In a phone call to the patients, at least three months after their discharge from the hospital, we obtained their current information. The IBM SPSS Statistics (version 25.0) was used. Pearson Chi square, Fisher’s exact test, t test, and binary logistic regression analysis model were employed. A P value of less than 0.05 was considered to be significant. Results: In total, 4,681 patients were studied, 2915 of whom (62.3%) reported symptoms. The most common symptoms of long COVID syndrome were fatigue, exercise intolerance, walking intolerance, muscle pain, and shortness of breath. Women were more likely to experience long-term COVID syndrome than men (Odds Ratio: 1,268; 95% Confidence Interval: 1,122-1,432; P=0.0001), which was significant. Presentation with respiratory problems at the onset of illness was also significantly associated with long COVID syndrome (Odds Ratio: 1.425; 95% Confidence Interval: 1.177-1.724; P=0.0001). A shorter length of hospital stay was inversely associated with long COVID syndrome (Odds Ratio: 0.953; 95% Confidence Interval: 0.941-0.965; P=0.0001). Conclusion: Long COVID syndrome is a frequent and disabling condition and has significant associations with sex (female), respiratory symptoms at the onset, and the severity of the illness

    Efficacy of Camellia sinensis extract against Candida species in patients with denture stomatitis

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    Background and Purpose: Denture stomatitis is a chronic inflammation disease of the oral mucosa, which is specified by erythematous lesions mainly in the upper palate. Nystatin as a polyene, a class of antifungal agents, is one of the effective drugs to treat denture stomatitis. Considering the expansion of utilizing herbal drugs to cure many kinds of diseases, the present study was conducted to investigate the effects of Camellia sinensis (green tea), which has the most chemical and influence similarity with nystatin, against denture stomatitis. Materials and Methods: This study was conducted on 22 patients with a positive mycological evidence for denture stomatitis caused by Candida species. The study population was divided into two groups, namely green tea and nystatin, receiving green tea mouthwash 0.5% and nystatin suspension 100,000 U/ml, respectively. The lesion size and number of yeast colonies were measured before and after the treatment. Results: According to the results, both groups showed reduced lesion size, clinical improvement, and significant reduction of Candida colony count in both group of patients were showedafter the therapeutic. Based on the results of polymerase chain reaction, Candida albicans was the most common species isolated from denture stomatitis. There was no significant difference between the two study groups in terms of Candida species distribution (P=0.700). Conclusion: Green tea demonstrated a comparable anti-Candida activity with regard to nystatin; therefore, it could be recommended as an alternative treatment. Keywords: Camellia sinensis, Candidiasis, Denture stomatitis, Green tea, Nystati

    Applications of Radiomics and Radiogenomics in High-Grade Gliomas in the Era of Precision Medicine

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    Machine learning (ML) integrated with medical imaging has introduced new perspectives in precision diagnostics of high-grade gliomas, through radiomics and radiogenomics. This has raised hopes for characterizing noninvasive and in vivo biomarkers for prediction of patient survival, tumor recurrence, and genomics and therefore encouraging treatments tailored to individualized needs. Characterization of tumor infiltration based on pre-operative multi-parametric magnetic resonance imaging (MP-MRI) scans may allow prediction of the loci of future tumor recurrence and thereby aid in planning the course of treatment for the patients, such as optimizing the extent of resection and the dose and target area of radiation. Imaging signatures of tumor genomics can help in identifying the patients who benefit from certain targeted therapies. Specifying molecular properties of gliomas and prediction of their changes over time and with treatment would allow optimization of treatment. In this article, we provide neuro-oncology, neuropathology, and computational perspectives on the promise of radiomics and radiogenomics for allowing personalized treatments of patients with gliomas and discuss the challenges and limitations of these methods in multi-institutional clinical trials and suggestions to mitigate the issues and the future directions

    How does COVID-19 vaccination affect long-COVID symptoms?

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    ObjectiveThe current study aimed to identify the association between COVID-19 vaccination and prolonged post-COVID symptoms (long-COVID) in adults who reported suffering from this condition.MethodsThis was a retrospective follow-up study of adults with long-COVID syndrome. The data were collected during a phone call to the participants in January-February 2022. We inquired about their current health status and also their vaccination status if they agreed to participate.ResultsIn total, 1236 people were studied; 543 individuals reported suffering from long long- COVID (43.9%). Chi square test showed that 15 out of 51 people (29.4%) with no vaccination and 528 out of 1185 participants (44.6%) who received at least one dose of any vaccine had long long- COVID symptoms (p = 0.032).ConclusionsIn people who have already contracted COVID-19 and now suffer from long-COVID, receiving a COVID vaccination has a significant association with prolonged symptoms of long-COVID for more than one year after the initial infection. However, vaccines reduce the risk of severe COVID-19 (including reinfections) and its catastrophic consequences (e.g., death). Therefore, it is strongly recommended that all people, even those with a history of COVID-19, receive vaccines to protect themselves against this fatal viral infection

    Quantification of tumor microenvironment acidity in glioblastoma using principal component analysis of dynamic susceptibility contrast enhanced MR imaging.

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    Glioblastoma (GBM) has high metabolic demands, which can lead to acidification of the tumor microenvironment. We hypothesize that a machine learning model built on temporal principal component analysis (PCA) of dynamic susceptibility contrast-enhanced (DSC) perfusion MRI can be used to estimate tumor acidity in GBM, as estimated by pH-sensitive amine chemical exchange saturation transfer echo-planar imaging (CEST-EPI). We analyzed 78 MRI scans in 32 treatment naïve and post-treatment GBM patients. All patients were imaged with DSC-MRI, and pH-weighting that was quantified from CEST-EPI estimation of the magnetization transfer ratio asymmetry (MTRasym) at 3&nbsp;ppm. Enhancing tumor (ET), non-enhancing core (NC), and peritumoral T2 hyperintensity (namely, edema, ED) were used to extract principal components (PCs) and to build support vector machines regression (SVR) models to predict MTRasym values using PCs. Our predicted map correlated with MTRasym values with Spearman's r equal to 0.66, 0.47, 0.67, 0.71, in NC, ET, ED, and overall, respectively (p &lt; 0.006). The results of this study demonstrates that PCA analysis of DSC imaging data can provide information about tumor pH in GBM patients, with the strongest association within the peritumoral regions

    Long long-COVID and vaccine study, Fars, Iran.

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    ObjectiveThe current study aimed to identify the association between COVID-19 vaccination and prolonged post-COVID symptoms (long-COVID) in adults who reported suffering from this condition.MethodsThis was a retrospective follow-up study of adults with long-COVID syndrome. The data were collected during a phone call to the participants in January-February 2022. We inquired about their current health status and also their vaccination status if they agreed to participate.ResultsIn total, 1236 people were studied; 543 individuals reported suffering from long long- COVID (43.9%). Chi square test showed that 15 out of 51 people (29.4%) with no vaccination and 528 out of 1185 participants (44.6%) who received at least one dose of any vaccine had long long- COVID symptoms (p = 0.032).ConclusionsIn people who have already contracted COVID-19 and now suffer from long-COVID, receiving a COVID vaccination has a significant association with prolonged symptoms of long-COVID for more than one year after the initial infection. However, vaccines reduce the risk of severe COVID-19 (including reinfections) and its catastrophic consequences (e.g., death). Therefore, it is strongly recommended that all people, even those with a history of COVID-19, receive vaccines to protect themselves against this fatal viral infection.</div

    Inclusivity in global research.

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    ObjectiveThe current study aimed to identify the association between COVID-19 vaccination and prolonged post-COVID symptoms (long-COVID) in adults who reported suffering from this condition.MethodsThis was a retrospective follow-up study of adults with long-COVID syndrome. The data were collected during a phone call to the participants in January-February 2022. We inquired about their current health status and also their vaccination status if they agreed to participate.ResultsIn total, 1236 people were studied; 543 individuals reported suffering from long long- COVID (43.9%). Chi square test showed that 15 out of 51 people (29.4%) with no vaccination and 528 out of 1185 participants (44.6%) who received at least one dose of any vaccine had long long- COVID symptoms (p = 0.032).ConclusionsIn people who have already contracted COVID-19 and now suffer from long-COVID, receiving a COVID vaccination has a significant association with prolonged symptoms of long-COVID for more than one year after the initial infection. However, vaccines reduce the risk of severe COVID-19 (including reinfections) and its catastrophic consequences (e.g., death). Therefore, it is strongly recommended that all people, even those with a history of COVID-19, receive vaccines to protect themselves against this fatal viral infection.</div
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