Objective To evaluate the value of MRI and MDCT in detecting both inferior vena cava tumor thrombus and vena cava wall invasion in renal cell carcinoma. Methods Databases including PubMed, EMbase, The Cochrane Library, MEDLINE (Ovid), CBM, CNKI, VIP and WanFang Data were searched from January 2000 to February 2012. Relevant studies were screened on the basis of the inclusion and exclusion criteria, and then quality assessment and data extraction were conducted. Then heterogeneity test and meta-analysis were conducted using RevMan 5 and Meta-disc 1.4. Results A total of 6 trials involving 244 patients and 246 cases of renal cell carcinoma were included. The results of meta-analysis showed that, for the MRI group and the MDCT group, the sensitivity was 0.963 and 0.952, the specificity was 0.969 and 0.979, the value of +LR was 9.759 and 15.57, the value of −LR was 0.091 and 0.108, and the dOR was 198.71 and 251.54, respectively. There were no significant differences in pooled effect-size among groups (Pgt;0.05). The area under curve (AUC) of summary ROC curve analysis as well as Q index of the MDCT group were 0.981 8 and 0.940 7, respectively. Conclusion There is no significant difference in the value of MRI and MDCT in detecting inferior vena cava tumor thrombus induced by renal cell carcinoma. More original studies on vena cava wall invasion by tumor thrombus should be conducted in the future due to the limitation of current materials.
Objective To investigate the relation between the sites of colorectal cancer and liver metastatic distribution. Methods The enhanced multiple-slice spiral CT images and clinical data of 105 cases diagnosed colorectalcancer with liver metastases admitted from January 2010 to April 2012 were analyzed retrospectively. Primary site of the tumor， numbers of the metastases on CT images， and the anatomical position of the inferior mesenteric vein （IMV） terminates were recorded. Results ①The ratio of metastases in the right and left hemiliver was 2∶1 for 38 right-sided primary tumors as compared with 1.2∶1 for 67 left-sided primary tumors. The pattern of lobar distribution was significantly different in the two groups （χ2=8.709， P=0.003）. ②In the left-sided colon cancer group， the ratio of metastases in the right and left hemiliver was 65∶98 for 28 patients with IMV terminating in splenic vein （SpV）， 116∶52 for 36 patients with IMV terminating in superior mesenteric vein （SMV）， and 13∶15 for 3 patients with IMV terminating in the junction of SMV and SpV. The pattern of lobar distribution was significantly different among the three groups （χ2=28.575， P=0.000）. Further comparison between the former two groups， the difference was statistically significant （χ2=27.951， P=0.000）. ③In 25 patients with IMV terminating in SpV， the metastases of 19 cases were mainly distributed in the left lobe of liver （P=0.001）；In 34 patients with IMV terminating in SMV， the metastases of 25 cases located mainly in the right hepatic lobe （P=0.000）. Conclusions Right-sided colon cancers selectively involve the right lobe of liver， while left-sided tumors selectively involve the right lobe of liver when its IMV terminates in SMV and involve the left lobe when its IMV terminates in SpV， respectively. The discovery may help shorting the diagnostic workup in patients presenting with liver metastases from an unknown primary site， and may improve the detection rate of metastases in initial diagnosis and follow-up.
混合模型框架下的模型，如潜变量增长混合模型（latent growth mixture modeling，LGMM）或潜类别增长分析（latent class growth analysis，LCGA），因估算过程中涉及多个决策过程，导致潜变量轨迹分析结果的报告呈现多样性。为解决这一问题，指南制订小组按照系统化的制订流程，通过 4 轮德尔菲法调查，遵循专家小组意见，提出了各领域报告潜变量轨迹分析结果时需采用统一的标准，最终确定了报告轨迹研究结果必要的关键条目，发布了潜变量轨迹研究报告规范（guidelines for reporting on latent trajectory studies，GRoLTS），并利用 GRoLTS 评价了 38 篇使用 LGMM 或 LCGA 研究创伤后应激轨迹的论文的报告情况。
近十年，在药品不良反应监测领域，基于医疗保健数据库的安全信号检测方法受到越来越多的关注，已成为弥补自发报告固有局限性的重要手段。目前数据挖掘方法主要基于比值失衡分析法（disproportionality analysis）、传统药物流行病学设计（如自身对照设计）、序列对称分析（sequence symmetry analysis，SSA）、序贯统计检验（sequential statistical testing）、时序关联规则（temporal association rules）、监督机器学习（supervised machine learning，SML）、树状扫描统计量方法（tree-based scan statistic）等。本文从应用场景和实用性角度对医疗保健数据库中安全信号检测方法及其性能进行介绍。
目的 探讨躯体感觉诱发电位（SEP）在颈脊髓损伤术前、术中监测的意义。 方法 纳入2010年1月－2012年4月治疗的241例颈脊髓损伤患者，术前按美国脊柱脊髓损伤协会（ASIA）评分并分级，确定损伤平面。术前与术中SEP监测，分析不同损伤分级以及不同损伤平面术前的波幅及潜伏期的差异，术中SEP监测以波幅下降＞50%和或潜伏期延长＞10%为预警标准。 结果 各损伤分级组术前SEP监测：A级组SEP波消失，呈一直线，而B、C、D、E级组均测出SEP波形，根据是否可测出SEP波形，可将A级与B、C、D、E及组区别。B、C、D级组之间波幅和潜伏期均无统计学意义（P＞0.05）。E级组较B、C、D级组波幅增高、潜伏期缩短，差异有统计学意义（P＜0.05）；不完全性颈脊髓损伤组内不同损伤平面组之间波幅和潜伏期差异均无统计学意义（P＞0.05）。术中SEP对脊髓功能损伤监测的灵敏度83.3%、特异度98.7%。其中术中：SEP阳性8例，真阳性5例，4例术者处理后波幅及潜伏期回复至正常范围，术后无新的神经功能损伤，另1例术者采取各种处理后波幅及潜伏期无恢复，术后神经功能损伤较术前加重；假阳性3例，1例麻醉师给予升高血压后波形恢复至正常，另2例经麻醉师调整麻醉深度后波形恢复正常，此3例术后无新的神经功能损伤。SEP阴性233例，真阴性232例，术后无新的神经功能损伤；假阴性1例，患者术中、术后波形未见异常，术后运动功能损伤程度较术前加重。 结论 ① SEP能准确评估完全性和不完性颈脊髓损伤，但对不完全性颈脊髓损伤的损伤程度不能作出准确评估、也不能区分颈脊髓损伤的损伤平面；② 术中SEP监测能较好地反映颈脊髓功能完整性，对减少颈脊髓损伤术中发生医源性颈脊髓损伤风险具有重要意义。
Objective To explore the clinical effect of failure mode and effect analysis (FMEA) combined with PDCA cycle management model in the prevention and control of multidrug-resistant organisms (MDROs) in intensive care unit (ICU), and provide evidences for drawing up improvement measures in healthcare-associated MDRO infections in ICU. Methods In January 2020, a risk assessment team was established in the Department of Critical Care Medicine, the First People’s Hospital of Longquanyi District of Chengdu, to analyze the possible risk points of MDRO infections in ICU from then on. FMEA was used to assess risks, and the failure modes with high risk priority numbers were selected to evaluate the high-risk points of MDRO infections. The causes of the high-risk points were analyzed, and improvement measures were formulated to control the risks through PDCA cycle management model. The incidence of healthcare-associated MDRO infections in ICU, improvement of high-risk events, and satisfaction of doctors and nurses after the implementation of intervention measures (from January 2020 to June 2021) were retrospectively collected and compared with those before the implementation of intervention measures (from January 2018 to December 2019). Results Six high-risk factors were screened out, namely single measures of isolation, unqualified cleaning and disinfection of bed units, irrational use of antimicrobial agents, weak consciousness of isolation among newcomers of ICU, weak awareness of pathogen inspection, and untimely disinfection. The incidence of healthcare-associated MDRO infections was 2.71% (49/1800) before intervention and 1.71% (31/1808) after intervention, and the difference between the two periods was statistically significant (χ2=4.224, P=0.040). The pathogen submission rate was 56.67% (1020/1800) before intervention and 61.23% (1107/1808) after intervention, and the difference between the two periods was statistically significant (χ2=7.755, P=0.005). The satisfaction rate of doctors and nurses was 75.0% (30/40) before intervention and 95.0% (38/40) after intervention, and the difference between the two periods was statistically significant (χ2=6.275, P=0.012). Conclusions FMEA can effectively find out the weak points in the prevention and treatment of MDRO infections in ICU, while PDCA model can effectively formulate improvement measures for the weak points and control the risks. The combined application of the two modes provides a scientific and effective guarantee for the rational prevention and treatment of MDRO infections in ICU patients.