目的   针对孤独症多模态证据融合与定量化辨识的关键问题，本研究提出基于图卷积神经网络（GCN）的孤独症谱系障碍（ASD）诊断模型研究思路。方法  通过对来源于ABIDE的ASD儿童脑部fMRI数据进行整理和筛选，提取脑区功能连接矩阵作为图结构的邻接矩阵，并融合临床表型数据，构建了ASD多模态关联网络。通过网络特征比较分析，识别出了ASD与典型发育组的脑功能连接网络组间差异。进一步地构建一个端到端的GCN模型，并尝试引入注意力机制，提高模型决策的可解释性。结果  该模型在诊断性能指标优于传统机器学习方法（准确率=0.710，精确率=0.709，召回率=0.780，F1=0.743，曲线下面积=0.746）。背侧注意网络与边缘系统-颞极枢纽的功能连接减弱是模型做出判断的最主要依据。结论  以异质图为多模态数据整合的基本架构，本模型为ASD的潜在病理机制探索提供了新的方法学范例。

      Objective   To develop a quantitative model for autism spectrum disorder（ASD）integration multimodal evidences．Methods The fMRI  dataset from ABIDE was  used for extracting connectivity function  network of ASD after  data preprocessing．Difference between ASD and typical development about their brain connectivity function was evaluated with t-test．Integrating phenotypic data and fMRI dataset，an graph convolutional neural network （GCN）with attention module was estimated and compared against benchmark models about their efficiency and interpretability．Results  The GCN model was evaluated outperformed other models with better accuracy indices．And regions from Dorsal Attention Network and Limbic-Temporal Pole were ranked as the highest weights for the differentiation in the model．Conclusions  This study provided a novel paradigm for quantitative diagnosis and exploring pathogenesis of ASD．

       目的   通过机器学习方法构建脓毒症谵妄患者30 d死亡的预测模型，并识别关键预测因子。方法   采用基于医疗信息集成重症监护数据库（Medical Information Mart for Intensive Care IV）的回顾性队列研究方法，boruta筛选重要特征，并通过决策树，K近邻，LightGBM，随机森林，支持向量机，XGBoost构建模型进行分析，通过ROC曲线下面积进行评估，利用F1分数、召回率、精确率、特异度、灵敏度和阳性预测值比较模型表现。结果  XGBoost模型在训练集和验证集中的ROC曲线下面积分别为0.906和0.762，表明该模型具有良好的预测能力，入院年龄、红细胞分布宽度和白细胞计数是最重要的预测因子。结论   基于机器学习的脓毒症谵妄患者预后预测模型展现出良好的预测效能，为临床早期干预提供了重要参考依据。

       Objective  To construct a  30-day mortality  prediction model for  patients with  sepsis-associated  delirium using machine learning methods and identify key predictive factors．Methods  A  retrospective cohort study was conducted based on the Medical Information Mart for Intensive Care IV database．Important features were selected using the Boruta algorithm，and models including Decision Tree，K-Nearest Neighbors，LightGBM，Random Forest，Support Vector Machine，and XGBoost were constructed and analyzed．Model performance was evaluated using the area under the reciver operater characteristic（ROC）curve（AUC），along with F1 score，recall，precision，specificity，sensitivity，and positive predictive value．Results  The XGBoost model demonstrated strong predictive performance，with AUC values of 0.906 in the training set and 0.762 in the test set．Key predictors identified included admission age，red blood cell distribution width，and white blood cell count．Conclusions  The machine learning-based prediction model for sepsis-associated delirium prognosis exhibits robust predictive efficacy，providing a valuable tool for early clinical intervention．

目的 基于Donabedian环节模型构建急诊脑出血患者护理质量评价体系, 并应用于临床,为急诊脑出血患者护理质量管理、监测与评价提供客观、科学的参考依据。方法 通过文献查阅、筛查与评价, 提取可行性资料, 基于Donabedian环节模型构建急诊脑出血患者护理质量评价体系的框架, 并采用德尔菲法完成两轮专家函询,确定最终的指标体系。选择2021年1月—2024年1月本院收治的230例急诊脑出血患者为研究对象, 将2021年1月—2022年6月作为干预前监测节点,该阶段的165例患者为传统组, 实施常规的护理质量管理;将2022年7月—2024年1月作为干预后监测节点,该阶段的165例患者为观察组, 实施以急诊脑出血患者护理质量评价指标进行护理质量监测管理。结果 两轮函询中专家积极系数分别为95%和100%, 意见提出率分别为56.25%和35.54%; 两轮函询专家权威系数为0.945、0.893; 第1轮函询中各项指标变异系数（CV）均值为0~0.136, Kendall’s W协调系数为0.065; 第2轮函询中变异系数（CV）均值为0~0.110, Kendall’s W协调系数为0.186。最终形成的急诊脑出血患者护理质量评价体系共涵盖一级指标3个、二级指标11个、三级指标55个。观察组入院-用药时间合格率、吞咽障碍患者动态评估率、气道管理合格率、早期被动/主动活动落实率高于传统组,差异具有统计学意义（χ²=14.850、12.261、8.183、37.420, P<0.05）, 观察组患者满意度明显高于传统组（χ²=14.049, P<0.001）。结论 本研究构建的急诊脑出血患者护理质量评价体系具有一定的科学性、可靠性和实用性, 可作为临床实现护理质量持续改进的重要评价工具。

Objective Based on the Donabedian model,the nursing quality evaluation system of emergency cerebral hemorrhage patients was constructed, and applied to clinical practice, providing an objective and scientific reference basis for realizing the nursing quality management, monitoring and evaluation of emergency cerebral hemorrhage patients．Methods Through literature review, screening and evaluation, the feasibility data was extracted, and the framework of the nursing quality evaluation system for patients with emergency cerebral hemorrhage was constructed based on the Donabedian model, and the Delphi method was adopted to complete two rounds of expert letter inquiry to determine the final index system．The study selected 230 patients with acute cerebral hemorrhage admitted to our hospital from January 2021 to January 2024 as the research subjects．The period from January 2021 to June 2022 was used as the pre-intervention monitoring period, during which 165 patients were in the traditional group, receiving routine nursing quality management．The period from July 2022 to January 2024 was used as the post-intervention monitoring period, during which 165 patients were in the observation group,implementing nursing quality monitoring and management based on evaluation indicators for the care of patients with acute cerebral hemorrhage．Results In the two rounds of letter inquiry, the positive coefficient of experts was 95% and 100%, respectively, and the rate of suggestions was 56.25% and 35.54%, respectively; the authority coefficient of experts in the two rounds of letter inquiry was 0.945 and 0.893．In the first round the mean value of coefficient of variation（CV）of each index was 0~0.136, and the coordination coefficient of Kendall’s W was 0.065; in the second round the mean value of variation coefficient（CV）was 0-0.110, and the coordination coefficient of Kendall's W was 0.186．The final nursing quality evaluation system for emergency cerebral hemorrhage patients covers 11 first-level indicators, 11 second-level indicators and 55 third-level indicators．The results showed that the pass rate of admission-medication time, dynamic assessment rate of dysphagia patients, airway management rate, and early passive / active activity implementation rate of the observation group were statistically significant different from those in the traditional group（χ²=14.850,12.261, 8.183, 37.420, P<0.05）, and the patient satisfaction in the observation group was significantly higher than that in the traditional group（χ²=14.049, P<0.001）．Conclusions The nursing quality evaluation system for emergency cerebral hemorrhage patients constructed in this study is scientific,reliable and practical, and can be used as an important evaluation tool to achieve continuous improvement of nursing quality in clinical practice．

目的 探讨导言-目标-前测-对照-后测-总结（BOPPPS）教学模式在基层护理培训中的应用效果。方法 采用类实验研究方法,将2021年5月—2021年12月参加培训的96名护士设为对照组,使用传统教学模式,将2022年1月—2022年12月参加培训的325名护士设为研究组,使用BOPPPS教学模式。对两组学员的教学效果通过理论、操作考核及问卷调查进行比较。结果 对照组学员理论知识、技能操作以及培训满意度均高于对照组,差异均有统计学意义（均P<0.05）。结论 BOPPPS教学模式在基层护理实训课中具有重要意义,可提高学员理论和技能操作能力,提升学员满意度。

Objective To explore the application effect of BOPPPS teaching mode in nursing primary training. Methods Adopting class experimental research method,96 nurses who participated in the training from May 2021 to December 2021 were the control group,using the traditional teaching method．The 325 nurses who participated in the training from January 2022 to December 2022 were set up as a study group using the BOPPPS teaching model．The teaching effectiveness of the two groups of nurses was compared through theoretical and operative examinations and questionnaires. Results The theoretical knowledge,skill operation and training satisfaction of the trainees in the experimental group were higher than those in the control group,and the differences were statistically significant（P<0.05）. Conclusions BOPPPS teaching mode is of great significance in nursing primary practical training course,which can improve the theory and skill operation ability of trainees and enhance the satisfaction of trainees．

目的 分析以信息-动机-行为技巧（IMB）模型为基础延续护理平台在帕金森病患者中的应用效果。方法 纳入河南省人民医院在2019年1月至2022年1月期收治的帕金森病患者96例进行研究,将其依据随机数表法分为对照组和观察组,均为48例,对照组均给予常规护理干预,观察组均给予以IMB模型为基础延续护理平台干预。比较两组主要照顾者干预前24 h（T0）和完成干预24 h（T1）内的心理状态评分、自我效能、希望水平、运动能力、肌张力、认知功能,并评估T1时刻的Barthel指数。结果 观察组患者T1时的汉密尔顿焦虑量表（HAMA）（16.64±2.57）分、汉密尔顿抑郁量表（HAMD）（16.38±1.69）分均低于对照组（20.65±1.68）（19.57±2.65）分（t=10.116、5.407,P<0.001）,观察组患者T1时的自我效能（7.24±1.48）分、希望水平（44.51±4.07分）均高于对照组（6.02±1.74）（38.95±4.54）分（t=3.357、3.311,P<0.001）,观察组患者T1时的运动能力评分（43.62±4.01）分高于对照组（39.17±5.25）分（t=4.715,P<0.001）,肌张力评分（0.72±0.21）分低于对照组（1.13±0.52）分（t=5.118,P<0.001）,观察组患者T1时刻的Barthel指数评估依靠帮助完成率（6.25%）、部分完成率（10.42%）低于对照组（25.00%）、（27.08%）（χ²=6.353、5.263,P<0.05）,观察组患者T1时刻的命名能力（3.46±0.51）、延迟回忆（3.78±0.21）分、语言能力（3.29±0.48）分、注意力评分（3.95±0.10）分均高于对照组（2.91±0.98 ）（3.21±0.96）（2.87±0.82）（3.76±0.05）分（t=3.698、3.675、3.846、4.305,P<0.001）。结论 以IMB模型为基础延续护理平台干预能够改善帕金森病患者的负性情绪,提升自我效能、希望水平,改善运动能力、肌张力、日常生活能力、认知水平。

Objective To analyze the application effect of the information motivation behavioral skills（IMB）model as a continuous care platform in Parkinson's patients. Methods A study was conducted on 96 Parkinson's patients enrolled in our hospital from January 2019 to January 2022．They were divided into a control group and an observation group based on a random number table method,with 48 patients in each group．The control group received routine nursing intervention,while the observation group received continuous nursing platform intervention based on the IMB model．The psychological state scores,self-efficacy,hope level,motor ability,muscle tone,cognitive function of the two main caregivers 24 hours before intervention（T0）and 24 hours after completion of intervention（T1）,and evaluate the Barthel index at T1 time were compared. Results The Hamilton Anxiety Scale（HAMA）[（16.64±2.57）points] and Hamilton Depression Scale（HAMD）[（16.38±1.69 points）scores] of patients in the observation group at T1 were lower than those in the control group [（20.65±1.68）points,（19.57±2.65）points]（t=10.116,5.407,P<0.001）．The self-efficacy of patients in the observation group at T1 was（7.24±1.48）points．The hope level [（44.51±4.07）points] was higher than that of the control group [（6.02±1.74）points,（38.95±4.54）points]（t=3.357,3.311,P<0.001）．The motor ability score at T1 time in the observation group [（43.62±4.01）points] was higher than that in the control group [（39.17±5.25）points]（t=4.715,P<0.001）,and the muscle tone score [（0.72±0.21）points] was lower than that in the control group [（1.13±0.52）points]（t=5.118,P<0.001）．The Barthel index evaluation of patients in the observation group at T1 time relied on help completion rate（6.25%）and partial completion rate（10.42%）,which were lower than those in the control group（25.00%）and（27.08%）（χ²=6.353,5.263,P=0.012,0.022）．The naming ability [（3.46±0.51）points],delayed recall [（3.78±0.21）points],language ability [（3.29±0.48）points],attention scores [（3.95±0.10）points] were higher than the control group [（2.91±0.98）points,（3.21±0.96）points,（2.87±0.82）points,（3.76±0.05）points]（t=3.698,3.675,3.846,4.305,P=<0.001,<0.001,<0.001）. Conclusions Continuing nursing platform intervention based on the IMB model can improve the negative emotions,self-efficacy,hope level,motor ability,muscle tone,daily living ability,and cognitive level of Parkinson's patients．

目的 基于SEER数据库分析三阴性乳腺癌（TNBC）的预后,并建立Cox回归临床预测模型且进行内部验证。方法 使用SEER*Stat软件（8.4.2版）筛选2010—2015年诊断为TNBC的病例,进行单因素和Cox多因素回归以及向后逐步回归分析,明确与生存相关的独立危险因素,构建预测TNBC患者3年和5年癌症特异生存（CSS）率的Nomogram图,并用受试者工作特征曲线,Harrell’s一致性指数,临床预测模型校准曲线以及决策曲线对该模型进行评估及内部验证,以评估该模型的临床预测效能。结果 共筛选出符合纳入标准的TNBC患者5 564例,按照7∶3的比例随机拆分为训练集（n=3 894）和验证集（n=1 670）。通过单因素,多因素分析显示TNM分期、放射治疗、化学治疗以及手术和其他治疗的先后顺序是与TNBC患者CSS显著相关的独立危险因素（P<0.05）。利用上述预后相关因素建立Nomogram图模型。训练集的C-index为0.731（95%CI：0.712~0.749）,验证集的C-index为0.719（95%CI：0.688~0.749）,训练集和验证集3年和5年生存ROC曲线的曲线下面积均>0.7,区分度较好,且校准曲线拟合良好。结论 TNM分期、放射治疗、化学治疗以及手术和其他治疗的先后顺序是TNBC的独立预后因素,基于此建立的Nomogram图临床预测模型区分度、准确度以及临床适用性较好,能较好地预测TNBC患者的生存预后。

Objective To analyze the prognosis of triple negative breast cancer（TNBC）based on the SEER database,and to establish a Cox regression clinical prediction model with internal validation．Methods Cases diagnosed with TNBC from 2010 to 2015 were screened using SEER*Stat software（version 8.4.2）,and univariate and Cox multifactorial regression as well as backward stepwise regression analyses were performed to identify the independent risk factors associated with survival,and to construct a clinical prediction model for predicting the three- and five-year cancer specific survival（CSV）of TNBC patients．Survival（CSS）rates of TNBC patients at 3 and 5 years,and the model was evaluated and internally validated using the ROC curve,Harrell’s consistency index（C-index）,clinical prediction model calibration curve,and decision-making curve（DCA curve）to assess the predictive efficacy of the model for clinical prediction．Results A total of 5 564 TNBC patients meeting the inclusion criteria were screened and randomly split into a training set（n=3 894）and a validation set（n=1 670）according to a 7∶3 ratio．By univariate,multivariate analysis showed that T-stage,N-stage,M-stage,radiotherapy,chemotherapy,and the sequence of surgery and other treatments were independent risk factors significantly associated with CSS in TNBC patients．The above prognostic-related factors were utilized to build a Nomogram plot model．The C-index was 0.731（95%CI：0.712-0.749）for the training set and 0.719（95%CI：0.688-0.749）for the validation set,and the areas under the curves of the 3- and 5-year survival ROC curves of both the training and validation sets were >0.7,which was a good differentiation,and the calibration curves were well-fitted．Conclusions T-stage,N-stage,M-stage,radiotherapy,chemotherapy,and the sequence of surgery and other treatments are independent prognostic factors for TNBC,and the Nomogram clinical prediction model based on this has good differentiation,accuracy,and clinical utility,and can better predict the survival prognosis of TNBC patients．

目的 构建并验证主动脉夹层B型（TBAD）患者急性期预后的列线图预测模型,帮助临床医生在急性期内更准确地评估TBAD患者的死亡风险,并制定更合适的治疗策略。方法 回顾性分析从重症监护医学信息数据库v2.2 中提取的399例 TBAD患者的人口学资料和临床资料,结局为TBAD患者急性期（≤14 d）内死亡。先采用最小绝对收缩选择算法回归筛选特征变量,再采用多因素分析确定独立预后因素,并据此构建预测模型。通过受试者工作特征曲线、校准曲线、决策曲线分析（DCA）评价列线图预测模型的性能和临床适用性。结果 APS Ⅲ评分、二氧化碳总量、红细胞分布宽度为TBAD患者14 d内死亡的独立预测因素。列线图预测模型在内部验证中的受试者工作特征曲线下面积为0.776（95% CI：0.691 ~ 0.860）,Hosmer-Lemeshow 检验P=0.604,校准曲线和标准曲线高度重合,表明该模型具有良好的区分度和校准度。同时,DCA曲线显示,预测模型在大部分的阈值概率范围内提供了显著的净收益。结论 本研究基于APS Ⅲ评分、二氧化碳总量、红细胞分布宽度构建的列线图预测模型可以较准确地预测TBAD患者14 d内的死亡风险,有助于临床医生制定更合适的个体化治疗策略。

Objective To develop and verify a nomogram for predicting acute phase outcomes in patients with type B aortic dissection（TBAD）,enabling clinicians to more precisely evaluate mortality risk in TBAD patients during the acute stage and to devise better treatment plans．Methods This retrospective study analyzed demographic and clinical data of 399 TBAD patients from the Medical Information Mart for Intensive Care IV v2.2,focusing on mortality within 14 days of the acute phase in TBAD patients． Initially,the Least Absolute Shrinkage and Selection Operator regression was employed for feature variable selection,and then multivariate analysis was used to identify independent prognostic factors for constructing the predictive model．The nomogram predictive model's effectiveness and clinical applicability were assessed via the Receiver Operating Characteristic curve,calibration curve,and Decision Curve Analysis（DCA）．Results Acute Physidogy Score Ⅲ score,total carbon dioxide,and red blood cell distribution width emerged as independent predictors of 14-day mortality in TBAD patients．The internal validation of the nomogram predictive model showed an area under the curve of 0.776（95%CI：0.691-0.860）,with a Hosmer-Lemeshow test P-value of 0.604． The close alignment of the calibration and standard curves suggested the model's strong discriminative power and calibration． Furthermore,the DCA curve revealed that the predictive model offered substantial net benefits within a wide range of threshold probabilities．Conclusions This study's nomogram,developed using APS Ⅲ score,total carbon dioxide,and red blood cell distribution width,accurately predicts the 14-day mortality risk in TBAD patients,assisting clinicians in creating better personalized treatment plans．

目的 本研究以脑卒中患者为研究对象,通过二代Illumina高通量测序平台对患者的粪便标本进行微生物群落多样性测序。选择物种丰度≥30%的24个门类（Phylum）作为肠道菌群的研究指标,进而研究肠道菌群与脑卒后抑郁（PSD）之间的相关关系。方法 以40位脑卒中患者的24个门类作为特征变量,抑郁组和对照组为二分类目标变量,建立以Logistic回归、随机森林、支持向量机和AdaBoost为基模型的Stacking分类模型。主成分分析方法作为该模型的特征选择方法选择恰当的主成分进行模型训练,通过二分类评价报告（precision、recall、f1-score）、ROC曲线和混淆矩阵等评价指标对其性能进行评价。结果 （1）通过差异性检验分析了两组（抑郁组和对照组）的基线一致（P<0.05）;（2）从Stacking模型融合的角度定量分析了影响脑卒中后抑郁情绪的具体肠道菌群。研究结果可知,放线菌门、拟杆菌门、变形菌门和酸杆菌门在PSD患者中均增加（P<0.001）;厚壁菌门,疣微菌门,绿弯菌门和软壁菌门在PSD患者中降低（P<0.001）。结论 以上菌群是影响脑卒中后抑郁患者情绪的主要影响因素,因此,在临床上通过恰当干预肠道菌群的变化来调节脑卒中后抑郁患者的抑郁水平,这为脑卒中后抑郁情绪的诊断和治疗方案提供科学依据。

Objective In this study,patients with stroke were selected as the research object,and the microbial community diversity of patients' stool samples was sequenced by the second-generation Illumina high-throughput sequencing platform． Twenty four phylum species with 30% species abundance were selected as indicators for the study of gut microbiota,and then the correlation between gut microbiota and post-stroke depression（PSD） was studied．Methods Taking 24 categories of 40 stroke patients as characteristic variables,depression group and control group as dichotomous target variables,a stacking classification model based on Logistic regression,random forest,support vector machine and AdaBoost was established．As the feature selection method of the model,principal component analysis selects the appropriate principal components for model training,and evaluates its performance through dichotomous evaluation reports（precision,recall,f1 score）,ROC curve and confusion matrix．Results The baseline of the two groups（depression group and control group）was consistent（P<0.05）through the difference test．From the perspective of stacking model fusion,the specific intestinal flora affecting post-stroke depression was quantitatively analyzed．The results showed that Actinobacteria,Bacteroidetes,Proteobacteria and Acidobacteria were significantly increased in PSD patients（P<0.001）,while Firmicutes,Verrucomicrobia,Chloroflexi and Tenericutes were significantly decreased in PSD patients（P<0.001）．Conclusions The above microbiota are the main factors affecting the mood of patients with post-stroke depression．Therefore,in clinical practice,we can adjust the depression level of patients with post-stroke depression by properly intervening the changes of intestinal microbiota,which provides a scientific basis for the diagnosis and treatment of PSD．

心血管疾病是导致我国居民死亡的首要原因。在2006—2019年间,我国每年因心血管疾病死亡的人数从215万人增加到328万人。斑马鱼因个体小、成本低廉、体外发育、身体透明、基因组与人类高度同源等特点,近年来被广泛应用于医学研究。斑马鱼模型有利于推动心血管疾病领域的基础性研究。该文通过对前期研究进行综述,重点介绍了斑马鱼模型在心血管疾病中基因筛选、心脏再生、药物筛选、毒性评估等方面的研究进展。

Cardiovascular disease is the leading cause of death in China．Between 2006 and 2019,the annual number of deaths due to cardiovascular diseases increased from 2.15 million to 3.28 million．Zebrafish has been widely used in medical research in recent years because of its small individual size,low cost,in vitro development,transparent body and high homology of genome with human．The zebrafish model is conducive to promoting basic research in the field of cardiovascular disease．Based on the review of previous studies,this paper focuses on the research progress of zebrafish model in gene screening,cardiac regeneration,drug screening,toxicity assessment and other aspects of cardiovascular diseases．

伴随着对医疗领域人才水平要求的逐步提高,医院人力资源管理尤其是医院人才引进工作正在由规模化发展向精细化发展转变。当前医院人才引进过程中存在缺乏人力资源发展规划、高层次人才引进方法有待完善、人才管理能力亟须提高、科室用人需求脱离实际、忽视对于岗位胜任力的分析等问题。人力资源成熟度模型（People Capability Maturity Model,P-CMM）作为一种系统的管理理论,其具备很强的实践性,文章对人力资源成熟度模型在医院人才引进工作中的本土化应用进行相关讨论与研究,将P-CMM不同成熟度等级、过程域目标与医院人才引进工作相结合,并提出可操作性指导,具有一定的理论与实践价值。

With the gradual improvement of the requirements for talents in the medical field,hospital human resource management,especially the introduction of talents in hospitals,is changing from large-scale development to refined development．At present,there are some problems in the process of hospital talent introduction,such as lack of human resource development plan,improvement of high-level talent introduction method,improvement of talent management ability,separation of department employment demand from reality,neglect of post competency analysis,etc．People Capability Maturity Model（P-CMM）,as a systematic management idea,has strong practicality．This study discusses and studies the localization application of human resource maturity model in hospital talent introduction,combines different maturity levels and process area objectives of P-CMM with hospital talent introduction,and puts forward operational guidance It has certain theoretical and practical value．