营养风险与腹膜后肿瘤患者住院时间的相关性研究

目的 探讨营养风险与腹膜后肿瘤患者住院时间的相关性。方法 采用回顾性研究，选取2012年1月至2018年12月四川大学华西医院血管外科新入院腹膜后肿瘤患者60例，采用营养风险筛查表评估患者营养风险，收集患者体质指数、围术期血红蛋白和白蛋白水平、住院天数、术后恶心呕吐发生情况、术后排气、排便时间和首次进食时间。采用单因素分析比较不同患者住院时间，采用多重线性逐步回归分析患者住院时间的影响因素。结果 纳入的60例腹膜后肿瘤患者中，40例患者（66.7%）术前存在营养风险，52例患者（86.7%）术后存在营养风险；单因素分析显示，患者术前、术后营养风险 （术前P<0.001，术后P=0.043）、术前白蛋白 （P=0.019）、术后血红蛋白 （P=0.019）、术后白蛋白（P=0.025） 水平以及术后恶心呕吐 （P=0.001） 均会影响患者的住院时间；患者住院时间与围术期营养风险筛查工具评分、术后首次进食时间、术后排气时间和排便时间具有相关性，且相关性强（r=0.759~0.770； P<0.01）；多因素分析显示术前营养风险是腹膜后肿瘤患者住院时间的重要预测因素（β=0.399）。结论 术前营养风险是腹膜后肿瘤患者住院时间的预测因子。     

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.     

补骨脂素抗增生性瘢痕作用机制研究

目的探讨补骨脂素抗增生性瘢痕的作用机制。方法体外培养成纤维细胞,按随机数字表法分为正常组(培养正常成纤维细胞)、瘢痕组(培养增生性瘢痕成纤维细胞)、TGF-β1组(10 ng/ml TGF-β1处理增生性瘢痕成纤维细胞5 min^12 h)、Smurf2 RNA干扰组[Smad泛素化调节因子2(Smad ubiquitin regulatory factor2,Smurf2)siRNA转染增生性瘢痕成纤维细胞72 h]、补骨脂素组(10μmol/L补骨脂素处理增生性瘢痕成纤维细胞继续培养72 h)、补骨脂素+TGF-β1组(增生性瘢痕成纤维细胞加入补骨脂素培养72 h后加入TGF-β1培养6 h)。采用Western blot法检测Smurf2、α-平滑肌肌动蛋白(α-actin SMA,α-SMA)蛋白表达;RT-PCR法检测Ⅰ型胶原蛋白mRNA表达;ELISA法检测TGF-β1蛋白分泌。结果与正常组比较,瘢痕组Smurf2蛋白[(0.83±0.08)比(0.38±0.07)]表达增加(P<0.05);与瘢痕组比较,Smurf2 RNA干扰组TGF-β1[(2.2±0.18)比(4.2±0.47)]表达降低(P<0.05);TGF-β1组Smurf2[(0.71±0.06)比(0.42±0.04)]、α-SMA[(1.42±0.12)比(0.91±0.09)]蛋白表达增加(P<0.05),Ⅰ型胶原蛋白mRNA[(0.72±0.09)比(0.41±0.07)]表达增加(P<0.05);补骨脂素组Smurf2[(0.05±0.01)比(0.42±0.04)]、α-SMA[(0.71±0.07)比(0.91±0.09)]蛋白表达降低(P<0.05),Ⅰ型胶原蛋白mRNA表达[(0.12±0.04)比(0.41±0.07)]降低(P<0.05)。结论补骨脂素可能通过TGF-β1/Smurf2信号通路抑制α-SMA蛋白表达,从而降低Ⅰ型胶原蛋白表达,起到抑制瘢痕形成的作用。     

改良俯卧位对俯卧位通气临床疗效及并发症的影响

目的观察改良俯卧位对俯卧位通气(PPV)临床疗效及并发症的影响。方法将该院呼吸和危重症医学科行PPV的52例患者随机分为对照组和实验组各26例,对照组应用常规方法进行PPV,实验组采用改良俯卧位进行PPV。比较两组患者PPV的临床效果和并发症发生情况。结果两组间俯卧位前和俯卧位后12 h的氧合指数无明显差异(P>0.05);两组患者俯卧位后12 h的氧合指数均较各组俯卧位前明显改善(P<0.05);两组患者气管插管脱出、血流动力学显著波动、误吸和面部水肿的发生率无显著差异(P>0.05);实验组皮肤压疮的发生率明显低于对照组(P<0.05)。结论改良俯卧位对PPV的临床疗效无显著影响,但可以降低皮肤压疮的发生率。     

结直肠癌化疗患者营养状况及营养治疗研究进展

结直肠癌是常见的消化道肿瘤，其营养不良发生率高且严重。化疗是结直肠癌常见治疗方式之一，并与营养不良独立相关，化疗后患营养不良风险增大且营养不良进一步加重。同时，营养不良可导致患者化疗疗效差及预后不良，并增加化疗相关不良反应、影响患者生活质量及降低生存率等。营养治疗能够有效改善患者营养状况，在肿瘤综合治疗中有重要作用，且多学科团队合作是有效的营养干预模式。目前营养治疗主要包括营养咨询、口服营养补充剂、肠内营养和肠外营养等，相关指南和研究表明在营养治疗时应首选口服营养补充剂及肠内营养，仅在采用以上治疗后仍存在营养不足或无法进行肠内营养时行肠外营养。本文主要对结直肠癌患者营养状况与化疗之间关系、营养治疗的最新研究进展及相关指南进行综述，以期引起临床上对结直肠癌化疗患者营养治疗方面重视并提供参考。     

Host–microbiome interactions: the aryl hydrocarbon receptor as a critical node in tryptophan metabolites to brain signaling

ABSTRACT

Tryptophan (Trp) is not only a nutrient enhancer but also has systemic effects. Trp metabolites signaling through the well-known aryl hydrocarbon receptor (AhR) constitute the interface of microbiome-gut-brain axis. However, the pathway through which Trp metabolites affect central nervous system (CNS) function have not been fully elucidated. AhR participates in a broad variety of physiological and pathological processes that also highly relevant to intestinal homeostasis and CNS diseases. Via the AhR-dependent mechanism, Trp metabolites connect bidirectional signaling between the gut microbiome and the brain, mediated via immune, metabolic, and neural (vagal) signaling mechanisms, with downstream effects on behavior and CNS function. These findings shed light on the complex Trp regulation of microbiome-gut-brain axis and add another facet to our understanding that dietary Trp is expected to be a promising noninvasive approach for alleviating systemic diseases.     

抑郁症患者血浆孤啡肽含量研究

目的为探讨抑郁症的可能病因,对抑郁症患者血浆孤啡肽(OFQ)含量进行了对照研究。方法抽取29例抑郁症患者和24例正常人的静脉血,用放射免疫(RIA)的方法分别测其血浆中OFQ含量,比较抑郁症患者和正常人血浆OFQ含量有无差异,抑郁症患者OFQ含量与汉密顿抑郁量表(HAMD)评分的相关性,及抑郁症患者血浆OFQ含量的影响因素。结果与正常人比较,抑郁症组OFQ含量明显升高(t=8．70,P＜0．0001)；OFQ含量与HAMD评分呈正相关(r=0．63,P＜0．01)；OFQ含量主要与抑郁情绪、夸大、失眠、自卑感、自杀、强迫症状、教育水平、关注身体健康等因素相关,而年龄、性别、职业、病程、曾用药等其他因素与OFQ含量无明显相关。结论通过测量血浆OFQ含量可作为抑郁症诊断的参考指标。     

动脉栓塞对骨盆肿瘤手术疗效的影响

[目的]探讨供血动脉栓塞对骨盆肿瘤手术疗效的影响。[方法]本组16例，脊索瘤7例，骨巨细胞瘤3例，骨转移瘤3例，骨肉瘤2例，神经纤维瘤1例。术前1d行肿瘤血管造影并用明胶海绵进行供血动脉栓塞。与对照组（结扎双侧髂内动脉骨盆肿瘤切除术）比较，观察其对术中出血量、手术时间、住院时间、术后下床时间、伤口愈合时间及术后各种功能恢复的影响。[结果]骨盆肿瘤切除术前肿瘤供血动脉栓塞与结扎双侧髂内动脉比较，除术中出血量外（P〉0．05），手术、住院、术后下床及伤口愈合时间在统计学上均有非常显著性差异（P〈0．001），而且结扎双侧髂内动脉可能对患者的性功能、排便功能等存在着不良的影响。[结论]肿瘤供血动脉栓塞骨盆肿瘤切除术可大大缩短手术、住院、术后下床、伤口愈合时间，且能更好地保护盆腔内外各组织器官的血运，从而避免其功能的损害。