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Solitary Cerebral Toxoplasmosis Presenting with Characteristic Magnetic Resonance Imaging Findings 孤立性脑弓形虫病表现出特征性的磁共振成像表现
Q4 Medicine Pub Date : 2021-01-01 DOI: 10.5336/MEDSCI.2020-78929
A. Halefoglu
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引用次数: 0
Oxidant-Antioxidant Balance and Trace Elements in Children with Functional Dyspepsia 功能性消化不良儿童的氧化-抗氧化平衡和微量元素
Q4 Medicine Pub Date : 2021-01-01 DOI: 10.5336/MEDSCI.2020-79596
H. Savaş, E. Sayar
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引用次数: 6
The Awareness of Drug Classifications and Concept of High Risk Drug by Healthcare Workers and Their Place in Professional Practice 医务人员对药品分类和高危药品概念的认识及其在专业实践中的地位
Q4 Medicine Pub Date : 2021-01-01 DOI: 10.5336/medsci.2020-78629
S. Kemer, H. Ergün
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引用次数: 0
5-Year Experience at a Single Center: Retrospective Analysis of 38 Patients with Hereditary Angioedema: A Descriptive Study 单中心5年经验:38例遗传性血管性水肿患者的回顾性分析:一项描述性研究
Q4 Medicine Pub Date : 2021-01-01 DOI: 10.5336/medsci.2021-81334
G. Aytekin, Eray Yıldız, Fatih Çölkesen, N. Akilli, Ş. Arslan, A. Çalışkaner
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引用次数: 2
Comparison of Pressure Controlled and Volume Controlled Ventilation in Morbidly Obese Patients Underwent Laparoscopic Sleeve Gastrectomy: A Randomized Controlled Trial 比较压力控制通气和容量控制通气在病态肥胖患者行腹腔镜袖胃切除术:一项随机对照试验
Q4 Medicine Pub Date : 2021-01-01 DOI: 10.5336/medsci.2020-80110
P. Sayın, H. Rk, Mustafa Altınay, Melis Tü RKEL ÖZKAN, M. Mihmanlı, S. Çınar
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引用次数: 1
Bir Üniversite Hastanesinde Araştırma Görevlisi Olarak Çalışan Hekimlerin Tükenmişlik Düzeyi ve İş Doyumu Durumlarının Belirlenmesi ve Etkileyen Faktörlerin Değerlendirilmesi
Q4 Medicine Pub Date : 2021-01-01 DOI: 10.5336/MEDSCI.2021-81673
mehmet uyar, Güllü Eren, M. Yücel
{"title":"Bir Üniversite Hastanesinde Araştırma Görevlisi Olarak Çalışan Hekimlerin Tükenmişlik Düzeyi ve İş Doyumu Durumlarının Belirlenmesi ve Etkileyen Faktörlerin Değerlendirilmesi","authors":"mehmet uyar, Güllü Eren, M. Yücel","doi":"10.5336/MEDSCI.2021-81673","DOIUrl":"https://doi.org/10.5336/MEDSCI.2021-81673","url":null,"abstract":"","PeriodicalId":49403,"journal":{"name":"Turkiye Klinikleri Tip Bilimleri Dergisi","volume":"7 1","pages":"234-241"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75355369","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
COVID-19 and Iron Metabolism: Traditional Review COVID-19与铁代谢:传统综述
Q4 Medicine Pub Date : 2021-01-01 DOI: 10.5336/medsci.2021-81574
N. Yılmaz, E. Eren, Cemil Öz, Zafer Kalayci, Ferhat Saribek
Viruses invade cells to reproduce, and they require an iron-filled cell for efficient reproduction. Together with other viruses, the coronavirus disease-2019 (COVID-19) virus can alter the expression of proteins involved in iron homeostasis. For example, in COVID-19 patients, an increase in pro-inflammatory cytokines such as interleukin-6 may stimulate the synthesis of hepcidin, the regulatory hormone of iron metabolism, thereby suppressing ferroportin-mediated cellular iron export. Increased serum levels of ferritin in COVID-19 virus infection is associated with a poor prognosis and may be partly due to the virus itself. Some viruses selectively infect iron acceptor cells (e.g. macrophages) by binding to transferrin receptor 1 during cell entry. Moreover, human airway secretions in the major route of entry of COVID-19 include transferrin and lactoferrin, and this glycoproteins can bind iron and maintain a chemically inert form. Understanding how iron metabolism and viral infection interact in the COVID-19 outbreak may suggest new ways to control the disease.
病毒侵入细胞进行繁殖,它们需要一个充满铁的细胞才能有效地繁殖。2019冠状病毒病(COVID-19)与其他病毒一起,可以改变参与铁稳态的蛋白质的表达。例如,在COVID-19患者中,白细胞介素-6等促炎细胞因子的增加可能刺激铁代谢调节激素hepcidin的合成,从而抑制铁转运蛋白介导的细胞铁输出。COVID-19病毒感染时血清铁蛋白水平升高与预后不良有关,部分原因可能是病毒本身。一些病毒在进入细胞时通过结合转铁蛋白受体1选择性感染铁受体细胞(如巨噬细胞)。此外,在COVID-19的主要进入途径中,人类气道分泌物包括转铁蛋白和乳铁蛋白,这些糖蛋白可以结合铁并保持化学惰性形式。了解铁代谢和病毒感染如何在COVID-19爆发中相互作用,可能为控制疾病提供新的方法。
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引用次数: 2
A Study on Determination of the Growth Models Using COVID-19 Cases Between March 17 and July 12 2020 in Turkey: Cross-sectional Study 2020年3月17日至7月12日在土耳其使用COVID-19病例确定增长模型的研究:横断面研究
Q4 Medicine Pub Date : 2021-01-01 DOI: 10.5336/medsci.2020-78094
Levent Özbek
ABS TRACT Objective: We use the most frequently used growth functions in the literature for estimating Turkey’s cumulative number of confirmed coronavirus disease-2019 (COVID-19) cases. We analyze Brody, Bertalanffy, Logistic, Generalized Logistic, Gompertz, Richards, Negative Exponential, Stevens, and Tanaka models for determining the appropriate model. Material and Methods: The number of cases of COVID-19 in Turkey between March 17, 2020 and July 12, 2020 were included in the study. The data used in the study were obtained from Johns Hopkins University. We used the most frequently used Non-linear growth models in the literature for estimating Turkey’s cumulative number of confirmed COVID-19 cases. Matlab software was used to estimate the parameters in the models studied. non-linear least squares regression function is used in Matlab software. Results: According to the estimation results, the best fitting model is the Richards model in terms of both the mean squared error and R 2 (coefficient of determination). Conclusion: We recommend to use the Richards model in modeling the cumulative COVID-19 cases. For estimating the future cases, it will be appropriate to use the Richards model. In addition, estimates of the number of daily cases obtained from the Richards model are not compatible with the actual number of daily cases. This may occur because estimations on these growth models can
目的:我们使用文献中最常用的生长函数来估计土耳其2019冠状病毒病(COVID-19)确诊病例的累积数量。我们分析了Brody、Bertalanffy、Logistic、Generalized Logistic、Gompertz、Richards、负指数、Stevens和Tanaka模型,以确定合适的模型。材料和方法:研究纳入了2020年3月17日至2020年7月12日在土耳其发生的COVID-19病例数。研究中使用的数据来自约翰霍普金斯大学。我们使用文献中最常用的非线性增长模型来估计土耳其的COVID-19确诊病例累积数量。利用Matlab软件对所研究模型中的参数进行估计。在Matlab软件中使用非线性最小二乘回归函数。结果:根据估计结果,无论是均方误差还是r2(决定系数),Richards模型都是最好的拟合模型。结论:我们建议使用Richards模型对COVID-19累积病例进行建模。为了估计未来的情况,使用理查兹模型是合适的。此外,根据Richards模型估计的每日病例数与实际的每日病例数不一致。这可能是因为对这些增长模型的估计可以
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引用次数: 0
Transmission and Clinical Characteristic of COVID-19 in Healthcare Workers: Cross-sectional Study COVID-19在医护人员中的传播和临床特征:横断面研究
Q4 Medicine Pub Date : 2021-01-01 DOI: 10.5336/medsci.2020-79883
M. Aydın, Ayşegül Özel, L. N. Altunal
Objective: Frontline healthcare workers (HCW) exposed to coronavirus disease-2019 (COVID-19) patients at their work environment are at a higher risk of acquiring the disease. The aim of this study was to research the COVID-19 risks due to the occupational exposure of HCW and the clinical characteristics of the affected. Material and Methods: In this retrospective study, HCW, employed by The Ümraniye Research and Training Hospital, who were diagnosed with COVID-19 between 20th March 2020 to 20th May 2020 were analysed. Results: A total of 128 (3.8%) HCW were diagnosed with COVID-19. Most of the infected HCW were medical staff (34%), nurses (24%), physicians (22%) and staff with no patient contact (20%). Fifty-six percent of the infected HCW were working in COVID-19 wards and out-patient clinics. Twenty-nine percent acquired the infection in hospital from an index patient and 32% of them from an infected HCW. The highest transmission was during the sharing of the same environment (53%) like offices. Thirteen per cent of the HCW took the virus during examination or treatment, 31% of the individuals were unaware of the transmission. The number of the infected HCW was higher during the beginning of the outbreak in Turkey. The symptomatic cases were more (88%) than the asymptomatic cases (12%). A total of 28 (22%) HCW were hospitalised and only 4% of the cases were severe. Conclusion: The asymptomatic COVID-19 carrying HCW are to be considered as the source of the spread of the disease among their colleagues. Stricter measures should be implemented to prevent in-hospital transmission. © 2021 by Türkiye Klinikleri.
目的:一线医护人员在工作环境中与新冠肺炎(COVID-19)患者接触的风险较高。本研究的目的是研究职业性接触HCW的COVID-19风险及其临床特征。材料和方法:在本回顾性研究中,对在2020年3月20日至2020年5月20日期间被诊断为COVID-19的Ümraniye研究与培训医院雇用的HCW进行了分析。结果:共有128例(3.8%)HCW被诊断为COVID-19。大多数感染的HCW是医务人员(34%)、护士(24%)、医生(22%)和没有接触患者的工作人员(20%)。56%的感染HCW在COVID-19病房和门诊诊所工作。29%的人在医院里从索引病人那里获得感染,32%的人从感染的HCW那里获得感染。最高的传播是在共享相同的环境,如办公室(53%)。13%的HCW在检查或治疗期间感染了病毒,31%的人不知道这种传播。在土耳其暴发之初,感染HCW的人数较高。有症状者(88%)多于无症状者(12%)。共有28例(22%)HCW住院,重症病例仅占4%。结论:无症状的HCW感染者可能是其同事间传播的传染源。应采取更严格的措施防止院内传播。©2021 by rkiye Klinikleri。
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引用次数: 1
Investigation of Anti-Inflammatory Effects of Myrtus communis L. Essential Oil on IL-1β Induced Human Bronchial Epithelial Cell Line 桃金娘精油对IL-1β诱导的人支气管上皮细胞抗炎作用的研究
Q4 Medicine Pub Date : 2021-01-01 DOI: 10.5336/medsci.2021-81607
Gülay Gülbol Duran, M. Terzi
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引用次数: 0
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