Monitoring Hepatocyte Dysfunction and Biliary Complication After Liver Transplantation Using Quantitative Hepatobiliary Scintigraphy

The significance of hepatobiliary scintigraphy (HBS) for hepatic graft function assessment was established mostly on retrospective studies and was not widely recognized due to the lack of quantitative data and variation in accuracy. This prospective study was performed to investigate the effectiveness of quantitative HBS for assessing hepatocyte dysfunction and biliary complication in liver transplant recipients.In 57 recipients who had undergone orthotopic liver transplantation, a total of 67 dynamic ^99mTc-EHIDA scans were performed and quantitative parameters including the hepatocyte extraction fraction (HEF), time to maximum hepatic radioactivity (T_max), and time for peak activity to decrease by 50% (T_1/2) were calculated. The scintigraphic results based on the 3 parameters were compared against the final diagnosis. A ROC curve analysis was carried out to identify the cutoff value of T_max for diagnosis of biliary stricture. Correlation between the parameters of postoperative HBS and conventional biochemical liver function indices were also analyzed.Quantitative ^99mTc-EHIDA HBS had an overall sensitivity of 94.12% (16/17), specificity of 93.33% (42/45), and diagnostic accuracy of 93.55% (58/62) for detecting hepatocyte dysfunction and biliary complication in liver transplant recipients. The recommended cutoff value of T_max for diagnosis of post-transplant biliary stricture was set at 15.75 min with a sensitivity of 100.0% and a specificity of 94.0%. The scintigraphic parameters (HEF, T_max) were statistically significantly associated with the conventional liver function parameters.Quantitative ^99mTc-EHIDA HBS offers a noninvasive imaging modality with high sensitivity and specificity to diagnose hepatocyte dysfunction as well as distinguish between patients with or without biliary stricture following liver transplantation. Furthermore, HEF and T_max values obtained from dynamic HBS show good correlation with conventional liver function parameters.     

癌症患者心理韧性质性研究的系统评价

目的 系统评价有关癌症患者心理韧性发展的真实体验,为更好地制定心理韧性干预方案提供理论依据。方法 计算机检索Cochrane Library、Medline、CINAHL、Embase、PubMed、Web of Science、Psyc INFO以及中国生物医学文献数据库、中国知网、维普、万方数据库从建库至2019年6月相关的质性研究。采用澳大利亚乔安娜布里格斯研究所循证卫生保健中心质性研究质量评价标准（2016）对文献进行评价,采用汇集性整合方法进行结果整合。结果 共纳入10篇文献,提炼42个明确的结果,形成8个类别,汇总成3个整合结果。①心理韧性发展是动态循环的过程：危机负性期,调节成长期,积极转化期,循环强化期;②心理韧性的阻碍因素：个体（消极应对,错误认知,症状和体象困扰）,环境（传统社会文化,医疗环境,家庭负担）;③心理韧性的保护因素：个体（积极心理与应对方式,复原经历,宗教信仰,自我表露,利他主义与行为）,环境（家庭因素,医疗照护,人际支持）。结论 心理韧性的发展是动态循环过程,受个体和环境因素影响,医护人员应根据不同阶段的影响因素给予针对性护理措施,促进患者心理韧性的形成和发展,提高患者的生活质量。     

丽水市十三项呼吸道病原体感染情况及特点分析北大核心CSCD

目的了解丽水市呼吸道病原体感染情况及流行病学特征,为呼吸道传染病诊疗与防控提供科学依据。方法回顾性分析2020年3月至2021年12月丽水市人民医院收治的4035例呼吸道感染患者13项呼吸道病原体PCR毛细电泳核酸检测结果,并分析病原体感染分布特征。结果呼吸道病原体感染患者阳性检出率为32.24%(1301/4035),检出率前5位分别是HRV(16.60%)、HRSV(7.09%)、HPIV(2.87%)、HMPV(2.21%)、HADV(1.96%)。混合感染阳性占比为7.61%(99/1301),Boca病毒(76.0%)与Ch(46.15%)易与其它病原体形成混合感染。不同性别呼吸道病原体感染率差异无统计学意义(P>0.05)。虽然不同季节呼吸道病原体整体感染率差异无统计学意义(P>0.05),但HRV好发于春秋两季,而HPIV在春秋两季感染率较低,春季HRSV感染率较低,HADV在夏秋两季感染率较低,HMPV在冬季较为流行。未成年人呼吸道病原体感染率较高,HRSV、HRV、HPIV、HADV和Boca主要发生于未成年人组,InfB和HMPV在未成年和青年人群感染率都较高。结论未成年人群是呼吸道病原体易感人群,应加强未成年人呼吸道传染病防控。     

放射性心脏损伤动物模型相关实验研究进展

当利用放射线对胸部恶性肿瘤进行治疗时，位于纵隔的心脏会不可幸免受到照射，从而诱发放射性心脏损伤（radiation-induced heart disease, RIHD）。随着手术以及放化疗技术的提升，肿瘤患者生存时间得到延长，使得RIHD这一放疗远期并发症被越来越多的报道。因此，学者们对于RIHD的研究逐渐升温。目前国内外学者关于该疾病尚未形成统一的认识，临床上缺乏有效阻止其发生的方法。动物模型研究可为临床该疾病治疗及预防提供可靠证据，为此本文回顾分析近年来放射性心脏损伤动物模型实验研究情况，旨在为后续实验开展及临床应用提供参考。     

腮腺切除术中沿面神经总干顺行解剖面神经的效果及安全性

目的探讨腮腺切除术中应用沿面神经总干顺行解剖面神经的治疗效果及安全性。方法选取我院2016年2月至2019年3月收治的60例择期行腮腺切除术的患者,随机分为观察组与对照组各30例。对照组沿面神经总干逆行解剖面神经,观察组沿面神经总干顺行解剖面神经,观察两组患者术后1个月面神经功能及术后并发症发生情况。结果术后1个月,两组患者的面神经功能分级比较无统计学差异(P>0.05);观察组的术后并发症发生率为10.00%,明显低于对照组的33.33%(P <0.05)。结论临床行腮腺切除术中,沿面神经总干顺行解剖面神经可降低术后并发症发生率,值得推广。     

Learning to Discretize: Solving 1D Scalar Conservation Laws via Deep Reinforcement Learning

Conservation laws are considered to be fundamental laws of nature. It has broad applications in many fields, including physics, chemistry, biology, geology, and engineering. Solving the differential equations associated with conservation laws is a major branch in computational mathematics. The recent success of machine learning, especially deep learning in areas such as computer vision and natural language processing, has attracted a lot of attention from the community of computational mathematics and inspired many intriguing works in combining machine learning with traditional methods. In this paper, we are the first to view numerical PDE solvers as an MDP and to use (deep) RL to learn new solvers. As proof of concept, we focus on 1-dimensional scalar conservation laws. We deploy the machinery of deep reinforcement learning to train a policy network that can decide on how the numerical solutions should be approximated in a sequential and spatial-temporal adaptive manner. We will show that the problem of solving conservation laws can be naturally viewed as a sequential decision-making process, and the numerical schemes learned in such a way can easily enforce long-term accuracy. Furthermore, the learned policy network is carefully designed to determine a good local discrete approximation based on the current state of the solution, which essentially makes the proposed method a meta-learning approach. In other words, the proposed method is capable of learning how to discretize for a given situation mimicking human experts. Finally, we will provide details on how the policy network is trained, how well it performs compared with some state-of-the-art numerical solvers such as WENO schemes, and supervised learning based approach L3D and PINN, and how well it generalizes.     

Cefoperazone-sulbactam and risk of coagulation disorders or bleeding: a retrospective cohort study

ABSTRACT

Objectives: Limited evidence has suggested that cefoperazone-sulbactam causes coagulation disorders and bleeding.

Methods: The authors conducted a retrospective study to compare patients receiving cefoperazone-sulbactam versus those treated with cefoperazone-tazobactam or ceftazidime. Propensity-score matching was used to explore whether treatment with cefoperazone-sulbactam increased the risk of prothrombin time (PT) prolongation, coagulation disorders, and bleeding, or decreased platelets (PLT).

Results: The cohort included 23,242 patients. Among patients receiving cefoperazone-sulbactam, the risk of PT prolongation, coagulation disorders, decreased PLT, and bleeding was 5.3%, 9.2%, 15.7%, and 4.2%, respectively. Propensity-score matching analyses suggested that cefoperazone-sulbactam increased the risk of PT prolongation (aOR 2.26, 95% CI 1.61–3.18), coagulation disorders (aOR 1.81, 95% CI 1.43–2.30), and decreased PLT (aOR 1.46, 95% CI 1.25–1.72), but not increase bleeding (aOR 1.05, 95% CI 0.79–1.40) compared with ceftazidime. Patients receiving cefoperazone-sulbactam had higher risk of PT prolongation (aOR 1.53, 95% CI 1.11–2.10), coagulation disorders (aOR 1.53, 95% CI 1.21–1.95), but not decreased PLT (aOR 0.93, 95% CI 0.81–1.07) or bleeding (aOR 1.11, 95% CI 0.87–1.42), compared with those receiving cefoperazone-tazobactam.

Conclusion: Cefoperazone-sulbactam may be associated with a higher risk of PT prolongation and coagulation disorders compared with cefoperazone-tazobactam and ceftazidime.     

金银花分子生物学研究进展

分子生物学(molecular biology)是从分子水平阐明生命现象和本质的科学,其发展为传统生药学的研究提供了新的生物技术和方法。金银花作为常用大宗药材之一,国内外学者在深入研究传统方法的基础上,采用分子生物学手段对其展开真伪鉴别、品质评价和控制等方面的相关研究,并取得了一定成果。该文主要综述了近年来分子生物学技术方法在金银花鉴别、有效成分生物合成的分子机制以及胁迫条件下次生代谢产物积累的分子机制研究,并针对基于杂交技术的标记(RFLP)、基于PCR的分子标记(RAPD,AFLP,SSR,ISSR)和基于DNA序列分析的SNP及DNA条形码对金银花的多样性识别、诊断、鉴定等方面进行了详细的总结,同时提出可以采用多组学技术,构建系统生物学技术和平台,建立次生代谢产物生物合成的相关模型,从而更好地研究金银花活性成分生物合成的分子机制以及药用植物在环境胁迫下的相关代谢产物的合成和积累等生命活动规律并进行调控,为进一步推动金银花现代化及其他中药资源的开发利用提供支撑与参考。