Erciyes Medical Journal最新文献_第8页

The war against the resistance of Acinetobacter baumannii: A Meta-Analysis in Turkey 对抗鲍曼不动杆菌耐药性的战争:土耳其的荟萃分析

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Erciyes Medical Journal Pub Date : 2022-01-01 DOI: 10.14744/etd.2022.94770

Imdat Kilbas

引用次数: 1

Evaluation of serum growth arrest specific-6/sAXL levels in type 2 diabetes mellitus 2型糖尿病患者血清生长抑制特异性6/sAXL水平的评价

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Erciyes Medical Journal Pub Date : 2022-01-01 DOI: 10.14744/etd.2022.45403

Merve Özel

引用次数: 2

Differences between chronological age and height age in goiter interpretation 实足年龄与身高年龄在甲状腺肿解释中的差异

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Erciyes Medical Journal Pub Date : 2022-01-01 DOI: 10.14744/etd.2022.56687

S. Koca

引用次数: 0

Evaluation of Subclinical Inflammation in children with Premature Adrenarche 儿童肾上腺早衰亚临床炎症的评价

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Erciyes Medical Journal Pub Date : 2022-01-01 DOI: 10.14744/etd.2022.39699

Gözde Köylü

引用次数: 0

A Review of the Effects of Probiotics and Their Metabolites in the Treatment of Liver Cancer: an Update on Probiotics as a New Treatment 益生菌及其代谢产物在肝癌治疗中的作用综述:益生菌作为一种新的治疗方法的最新进展

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Erciyes Medical Journal Pub Date : 2022-01-01 DOI: 10.14744/etd.2022.25477

R. Bakhtiari

引用次数: 0

A Historical Perspective of the Management of Scoliosis 脊柱侧凸治疗的历史回顾

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Erciyes Medical Journal Pub Date : 2022-01-01 DOI: 10.14744/etd.2022.23682

G. Yagci

引用次数: 0

Prediction of COVID-19 Based on Genomic Biomarkers of Metagenomic Next-Generation Sequencing Data Using Artificial Intelligence Technology 应用人工智能技术基于新一代宏基因组测序数据的基因组生物标志物预测COVID-19

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Erciyes Medical Journal Pub Date : 2022-01-01 DOI: 10.14744/etd.2022.00868

S. Akbulut

{"title":"Prediction of COVID-19 Based on Genomic Biomarkers of Metagenomic Next-Generation Sequencing Data Using Artificial Intelligence Technology","authors":"S. Akbulut","doi":"10.14744/etd.2022.00868","DOIUrl":"https://doi.org/10.14744/etd.2022.00868","url":null,"abstract":"Objective: The primary aim of this study was to use metagenomic next-generation sequencing (mNGS) data to identify coronavirus 2019 (COVID-19)-related biomarker genes and to construct a machine learning model that could successfully differentiate patients with COVID-19 from healthy controls. Materials and Methods: The mNGS dataset used in the study demonstrated expression of 15,979 genes in the upper airway in 234 patients who were COVID-19 negative and COVID-19 positive. The Boruta method was used to select qualitative biomarker genes associated with COVID-19. Random forest (RF), gradient boosting tree (GBT), and multi-layer perceptron (MLP) models were used to predict COVID-19 based on the selected biomarker genes. Results: The MLP (0.936) model outperformed the GBT (0.851), and RF (0.809) models in predicting COVID-19. The three most important biomarker candidate genes associated with COVID-19 were IFI27, TPTI, and FAM83A. Conclusion: The proposed model (MLP) was able to predict COVID-19 successfully. The results showed that the generated model and selected biomarker candidate genes can be used as diagnostic models for clinical testing or potential therapeutic targets and vaccine design.","PeriodicalId":43995,"journal":{"name":"Erciyes Medical Journal","volume":"36 1","pages":""},"PeriodicalIF":0.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80663257","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: 2

The Impact of Left Ventricle Geometry Patterns on Length of Hospital Stay in COVID-19 Patients 新冠肺炎患者左心室几何形态对住院时间的影响

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Erciyes Medical Journal Pub Date : 2022-01-01 DOI: 10.14744/etd.2022.08365

M. Erdoğan

{"title":"The Impact of Left Ventricle Geometry Patterns on Length of Hospital Stay in COVID-19 Patients","authors":"M. Erdoğan","doi":"10.14744/etd.2022.08365","DOIUrl":"https://doi.org/10.14744/etd.2022.08365","url":null,"abstract":"Objective: The coronavirus disease 2019 (COVID-19) has placed huge strains on medical systems. Therefore, it is essential to determine the predictors of the long hospital stay. We sought to investigate whether alterations in left ventricular (LV) geometry in COVID-19 patients are associated with the length of stay (LoS) and a long hospital stay. Materials and Methods: 108 consecutive hospitalized COVID-19 patients were incorporated in the study and 89 patients remained for statistical analysis. All participants underwent standard two-dimensional (2D) and Doppler echocardiographic examinations. Patients were classified according to LV geometry characteristics namely normal geometry (NG), concentric remodeling, concentric hypertrophy and eccentric hypertrophy. Results: Multiple binary logistic regression model adjusted for clinical and laboratory variables yielded significant and independent association of LV mass index (LVMI) (OR: 1.12, 95% CI: 1.06-1.19, p<0.001), 10 g/m(2) increase in LVMI (OR: 3.63, 95% CI: 2.00-6.59, p<0.001), LV geometry patterns (OR: 2.92, 95% CI: 1.46-5.34, p=0.002), and altered geometric patterns compared to NG (OR: 3.97, 95% CI: 1.08-14.5, p=0.037) with long hospital stay. Correlation analysis of LVMI and LoS demonstrated significant and moderate correlation (rho=0.58, p<0.001). Conclusion: LVMI and LV geometric patterns independently predict long hospital stays in COVID-19 patients. The significant correlation between LoS and LVMI underlies the significance of LV geometry in this infection.","PeriodicalId":43995,"journal":{"name":"Erciyes Medical Journal","volume":"74 1","pages":""},"PeriodicalIF":0.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85340834","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: 0

Detection of Novel NF1 Variants with Next Generation-based DNA Sequencing Technology, and Genotype-Phenotype Characteristics of Neurofibromatosis 基于下一代DNA测序技术检测新型NF1变异，以及神经纤维瘤病的基因型-表型特征

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Erciyes Medical Journal Pub Date : 2022-01-01 DOI: 10.14744/etd.2022.90023

A. Kiraz

引用次数: 0

Duration of oral antioxidant therapy in male infertility with increased DNA damage: 3 month versus 6 month 口服抗氧化治疗增加DNA损伤的男性不育症的持续时间:3个月对6个月

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Erciyes Medical Journal Pub Date : 2022-01-01 DOI: 10.14744/etd.2022.49404

E. Hasırcı

引用次数: 0