应用GM(1,1)灰色模型预测全国甲状腺癌发病趋势北大核心

目的:探讨应用GM(1,1)灰色模型在全国及分性别、地区的甲状腺癌发病率预测中的可行性,为制定措施预防甲状腺癌发病提供参考。方法:甲状腺癌发病数据来源于2008至2018年《中国肿瘤登记年报》,通过建立模型评价其预测效果并预测未来5年的发病率。结果:全国及分性别(男、女)、地区(城市、农村)甲状腺癌发病率预测模型分别为x^((1))(k+1)=37.5326e^(0.1152k)-33.2326(C=0.2083,P=1.00)、x^((1))(k+1)=15.6257e 0.1239k-13.6457(C=0.1969,P=1.00)、x^((1))(k+1)=59.7419e^(0.113k)-53.0619(C=0.2150,P=1.00)、x^((1))(k+1)=35.4451e ^(0.1408k)-30.2251(C=0.1519,P=1.00)、x^((1))(k+1)=16.7016e^(0.1294k)-15.0216(C=0.4918,P=1.00)。结论:GM(1,1)灰色预测模型可较好的拟合全国及分性别、城市的甲状腺癌发病率变化趋势并预测,对农村的拟合效果稍差。预测未来5年全国及分性别、地区甲状腺癌发病率将持续上升,提示应采取有针对性的措施加以预防。     

现实主义综述在护理领域的应用进展

介绍现实主义综述的定义、哲学基础和实施步骤，以及该方法学在护理领域的研究范围、应用现状及优势和不足，旨在提高护理研究者对现实主义综述的认识，为开展现实主义的护理相关研究提供思路。     

儿童塑型性支气管炎的影像学特征

塑型性支气管炎是一种罕见的、以支气管内形成黏稠分支样铸型为特征的疾病,是一种严重的临床急症,会引起呼吸窘迫、窒息,甚至死亡,因此早期诊断、早期识别意义重大。现对塑型性支气管炎的影像学特征进行归纳总结,以期进一步提高儿科、急诊科和影像科医师对该病的认识。     

Risk factors related to the severity of COVID-19 in Wuhan

Objective: To evaluate the characteristics at admission of patients with moderate COVID-19 in Wuhan and to explore risk factors associated with the severe prognosis of the disease for prognostic prediction.Methods: In this retrospective study, moderate and severe disease was defined according to the report of the WHO-China Joint Mission on COVID-19. Clinical characteristics and laboratory findings of 172 patients with laboratory-confirmed moderate COVID-19 were collected when they were admitted to the Cancer Center of Wuhan Union Hospital between February 13, 2020 and February 25, 2020. This cohort was followed to March 14, 2020. The outcomes, being discharged as mild cases or developing into severe cases, were categorized into two groups. The data were compared and analyzed with univariate logistic regression to identify the features that differed significantly between the two groups. Based on machine learning algorithms, a further feature selection procedure was performed to identify the features that can contribute the most to the prediction of disease severity.Results: Of the 172 patients, 112 were discharged as mild cases, and 60 developed into severe cases. Four clinical characteristics and 18 laboratory findings showed significant differences between the two groups in the statistical test (P<0.01) and univariate logistic regression analysis (P<0.01). In the further feature selection procedure, six features were chosen to obtain the best performance in discriminating the two groups with a linear kernel support vector machine. The mean accuracy was 91.38%, with a sensitivity of 0.90 and a specificity of 0.94. The six features included interleukin-6, high-sensitivity cardiac troponin I, procalcitonin, high-sensitivity C-reactive protein, chest distress and calcium level.Conclusions: With the data collected at admission, the combination of one clinical characteristic and five laboratory findings contributed the most to the discrimination between the two groups with a linear kernel support vector machine classifier. These factors may be risk factors that can be used to perform a prognostic prediction regarding the severity of the disease for patients with moderate COVID-19 in the early stage of the disease.     

Tumor Mutation Burden,Immune Cell Infiltration,and Construction of Immune-Related Genes Prognostic Model in Head and Neck Cancer

Background: Head and neck squamous cell carcinoma (HNSCC) is the sixth most common malignancy worldwide, and the prognosis of HNSCC remains bleak. Numerous studies revealed that the tumor mutation burden (TMB) could predict the survival outcomes of a variety of tumors.Objectives: This study aimed to investigate the TMB and immune cell infiltration in these patients and construct an immune-related genes (IRGs) prognostic model.Methods: The expression data of 546 HNSCC patients were obtained from The Cancer Genome Atlas (TCGA) database. All patients were divided into high- and low- TMB groups, and the relationship between TMB and clinical relevance was further analyzed. The differentially expressed genes (DEGs) were identified using the R software package, limma. Functional enrichment analyses were conducted to identify the significantly enriched pathways between two groups. CIBERSORT algorithm was adopted to calculate the abundance of 22 leukocyte subtypes. The IRGs prognostic model was constructed via the multivariate Cox regression analysis.Results: Missense mutation and single nucleotide variants (SNV) were the most predominant mutation types in HNSCC. TP53, TTN, and FAT1 were the most frequently mutated genes. Patients with high TMB were observed with worse survival outcomes. The functional analysis of TMB associated DEGs showed that the identified DEGs mainly involved in spliceosome, RNA degradation, proteasome, and RNA polymerase pathways. We observed that macrophages, T cells CD8, and T cells CD4 memory were the most commonly infiltrated subtypes of immune cells in HNSCC. Finally, an IRGs prognostic model was constructed, and the AUC of the ROC curve was 0.635.Conclusions: Our results suggest that high TMB is associated with poor prognosis in HNSCC patients. The constructed model has potential prognostic value for the prognosis of these individuals, and it needs to be further validated in large-scale and prospective studies.     

Bioinformatics Analyses of Potential miRNA-mRNA Regulatory Axis in HBV-related Hepatocellular Carcinoma

Aims: We aimed to explore the crucial miRNA-mRNA axis through bioinformatics analysis and provide evidences for the development of pathophysiological mechanisms and new therapies for HBV-related HCC.Methods: MiRNA ({"type":"entrez-geo","attrs":{"text":"GSE76903","term_id":"76903"}}GSE76903) and mRNA ({"type":"entrez-geo","attrs":{"text":"GSE77509","term_id":"77509"}}GSE77509) dataset were used to screen differentially expressed miRNAs (DE-miRNAs) and differentially expressed mRNAs (DE-mRNAs) using R software. Overlapping genes between DE-mRNAs and target genes of DE-miRNAs were identified as candidate genes. Hub genes were obtained via cytohubba analysis. The expression at protein and mRNA levels and prognostic value of hub genes were evaluated based on The Cancer Genome Atlas (TCGA) data. Key miRNA-mRNA axes were constructed according to predicted miRNA-mRNA pairs. MiRNA expression and prognostic role were respectively identified using starBase v3.0 and Kaplan-Meier plotter database. Real-time PCR was performed to verify the expression of crucial miRNAs and mRNAs. Coexpression of crucial miRNA and mRNA were analyzed using starBase v3.0.Results: CDK1, CCNB1, CKS2 and CCNE1 were screened as hub genes, which were significantly upregulated at protein and mRNA levels. These up-regulated hub genes were also significantly associated with poor prognosis. Hsa-mir-195-5p/CDK1, hsa-mir-5589-3p/CCNB1 and hsa-let-7c-3p/CKS2 were screened as critical miRNA-mRNA axes. Critical miRNAs were decreased in HCC, which indicates unfavourable prognosis. QPCR results showed that crucial miRNAs were decreased, whereas critical mRNAs were increased in HBV-related HCC. A reverse relationship between miRNA and mRNA in crucial axis was further verified.Conclusion: This study identified several miRNA-mRNA axes in HBV-related HCC. Hsa-mir-195-5p/CDK1, hsa-mir-5589-3p/CCNB1 and hsa-let-7c-3p/CKS2 might serve as potential prognostic biomarkers and therapeutic targets for HBV-related HCC.     

度洛西汀联合羟考酮缓释片、唑来膦酸治疗骨转移中重度神经病理性癌痛的疗效观察

目的 观察羟考酮缓释片、唑来膦酸联合两类不同的辅助镇痛药对骨转移中重度神经病理性癌痛(MNP)患者的疗效和安全性.方法 将117例骨转移癌合并中重度MNP的患者按双盲、随机数字表法分为A组(羟考酮+唑来膦酸)、B组(度洛西汀+羟考酮+唑来膦酸)、C组(普瑞巴林+羟考酮+唑来膦酸),每组39例.比较3组患者治疗前后的数字评分法(NRS)评分、汉密尔顿抑郁量表(HAMD)评分、汉密尔顿焦虑量表(HAMA)评分、羟考酮人均日剂量、爆发痛人均日发作次数、生活质量(QOL)评分、不良反应发生情况.结果 治疗后1个月B组和C组羟考酮人均日剂量均低于A组,爆发痛人均日发作次数均少于A组,QOL评分均高于A组(P﹤0.05),B组和C组比较,差异均无统计学意义(P﹥0.05).3组患者的NRS、HAMD和HAMA评分在治疗后均随时间逐渐下降(P﹤0.05);治疗后1周、2周、1个月时A组患者NRS评分均高于B组和C组,C组患者NRS评分高于B组,差异均有统计学意义(P﹤0.05),B组和C组患者HAMD和HAMA评分比较,差异均无统计学意义(P﹥0.05).治疗后1个月3组患者各不良反应发生情况比较,差异均无统计学意义(P﹥0.05).结论 羟考酮缓释片、唑来膦酸联用度洛西汀比联用普瑞巴林能更有效地降低骨转移中重度MNP患者的疼痛评分,并能有效减少爆发痛次数、羟考酮用量,改善抑郁、焦虑、生活质量,安全性较好.     

染色体微阵列产前诊断8q13.3微缺失一例

目的应用染色体微阵列分析(chromosome microarray analysis,CMA)技术对1例超声结构异常胎儿进行全基因组拷贝数变异(copy number variations,CNVs)检测,探讨CMA在超声结构异常胎儿产前诊断中的意义。方法应用常规G显带染色体核型分析胎儿及其父母的染色体核型,应用CMA技术分析胎儿及其父母的CNVs。结果G显带核型分析显示胎儿核型与母亲一致,为46,XN,t(8;11)(q21.2;q13)mat,父亲核型正常;父母CMA检测结果均未见异常;胎儿的检测结果为arr[GRCh37]8q13.3(71314082-73322915)×1,提示一条8号染色体的8q13.3区域发生2.00 Mb缺失。结论超声结构异常胎儿染色体核型分析检出的平衡易位,需借助CMA等技术进一步确定是否存在微缺失微重复。