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．

目的 探讨与分析基于信息-动机-行为（IMB）模型的护理干预对造口患者并发症及生活质量的影响。方法 选择2021年5月—2023年4月本院进行结直肠癌行肠造口患者84例作为研究对象,根据1∶1随机电脑抽签分配原则把患者分为IMB组42例与常规组42例。常规组给予常规护理干预,IMB组在常规组护理的基础上给予基于IMB模型的护理干预,IMB组与常规组护理观察时间为3个月,观察与记录IMB组与常规组患者并发症、生活质量、心理状况、自我管理能力评分变化情况。结果 IMB组护理3个月期间的腹腔脓肿、肠梗阻、肺部感染、造口感染等并发症发生率为4.8%,与常规组的19.0%相比降低更多（P<0.05）。IMB组护理3个月期间的遵医依从性为100.0%,与常规组的90.5%相比提高更多（P<0.05）。护理3个月后IMB组的症状识别、症状处理、处理后评价等自我管理能力评分与常规组相比提高更多（P<0.05）。IMB组与常规组护理3个月后的焦虑评分与抑郁评分与护理前相比都有统计学意义的降低（P<0.05）,护理3个月后IMB组的焦虑评分、抑郁评分与常规组对比降低（P<0.05）。护理3个月后IMB组的总生活质量量表、症状子量表、症状量表、功能量表评分都与常规组相比提高（P<0.05）。结论 基于IMB模型的护理干预在造口患者的应用能提高遵医依从性,缓解焦虑与抑郁情绪,提高患者自我管理能力,从而可有效减少患者并发症的发生,促进提高患者的预后生活质量。

Objective To explore and analysis the effects of nursing intervention based on Information-Motivation-Behavioral（IMB）model on complications and quality of life of patients with stoma. Methods Eighty-four cases of patients with colorectal cancer undergoing enterostomy in our hospital from May 2021 to Aprilt 2023 were selected as the study subjects．According to the principle of 1∶1 random computer lottery,the patients were divided into IMB group（42 cases）and traditional group（42 cases）．The traditional group were given routine nursing intervention,and the IMB group were given nursing intervention based on the IMB model on the basis of the traditional group．The nursing observation time of the traditional group and IMB group were 3 months,the changes in complications,quality of life,psychological status,and self-management ability scores of patients were observed and recorded. Results The incidence of complications such as abdominal abscess,intestinal obstruction,pulmonary infection and stoma infection in IMB group during nursing were 4.8%,which were significantly lower than 19.0% in the traditional group（P<0.05）．The compliance of IMB group during nursing were 100.0%,which were significantly higher than 90.5% in the traditional group（P<0.05）．After nursing of 3 months,the scores of self-management ability such as symptom recognition,symptom treatment and post-treatment evaluation in IMB group were significantly higher than those in the traditional group（P<0.05）．The scores of anxiety and depression in the traditional group and IMB group after nursing of 3 months were significantly lower than those before nursing（P<0.05）,and the scores of anxiety and depression in the IMB group after nursing of 3 months were also significantly lower than those in the traditional group（P<0.05）．After nursing of 3 months,the scores of IMB group on function scale,symptom scale,symptom subscale and total quality of life scale were significantly higher than those of the traditional group（P<0.05）. Conclusions The application of nursing intervention based on the IMB model in patients with stoma can improve the compliance with medical treatment,reduce the occurrence of complications,improve the self-management ability of patients,relieve anxiety and depression,and continue to improve the prognosis and quality of life of patients．

目的 探讨责任制助产护理模式配合体位管理对高龄产妇分娩方式及产程的影响。方法 选择2023年6月—12月医院接收的高龄产妇68例进行研究，按照护理方式分为两组各34例，对照组为常规助产护理，观察组为责任制助产护理模式配合体位管理，比较两组分娩方式、产程、疼痛程度及护理满意度。结果 观察组阴道分娩率为76.47%（26例），高于对照组52.94%（18例），剖宫产率为8.82%（3例），低于对照组29.41%（10例）（χ2分别为4.121、4.660，均P＜0.05）。观察组第一产程（6.25±0.50）h、第二产程（0.79±0.21）h、总产程（7.15±0.63）h、宫口开大3 cm、10 cm时的疼痛程度（4.12±1.08）分、（6.29±1.25）分明显低于对照组（7.01±0.62）h、（0.96±0.30）h、（8.11±1.07）h、（7.84±1.45）分、（9.09±0.74）分（t分别为5.563、2.706、4.508、11.997、11.239，均P＜0.05）。观察组的护理满意度为97.06%（33例），比对照组的76.47%（26例）高（χ2=4.610，P=0.031）。结论 高龄产妇展开责任制助产护理模式配合体位管理可促进自然分娩，并缩短产程，减轻产时疼痛程度，降低剖宫产率，提高护理满意度。

Objective To explore the effect of responsibility midwifery nursing model combined with position management on delivery mode and labor process of elderly parturient．Methods A total of 68 cases of elderly pregnant women admitted to the hospital from June to December 2023 were selected,and they were divided into two groups according to the nursing mode,34 cases in each group．The control group was given routine midwifery nursing,and the observation group was given responsible midwifery nursing mode combined with position management．The methods of delivery,labor process,pain degree and nursing satisfaction of the two groups were compared．Results The vaginal delivery rate was 76.47%（26 cases）in the observation group,which was higher than 52.94%（18 cases）in the control group,and the cesarean section rate was 8.82%（3 cases）in the observation group,which was lower than 29.41%（10 cases）in the control group（χ²=4.121 and 4.660,P=0.042 and 0.030）．The pain degree of the first stage of labor（6.25±0.50）h,the second stage of labor（0.79±0.21）h,the total stage of labor（7.15±0.63）h,the pain degree of the cervical dilation 3 cm,10 cm in the observation group were significantly lower than those in the control group[（7.01±0.62）h,（4.12±1.08）points,（6.29±1.25）points vs （0.96±0.30）h,（8.11±1.07）h,（7.84±1.45）score,（9.09±0.74）score（t=5.563,2.706,4.508,11.997,11.239,P<0.05）．The nursing satisfaction of the observation group was 97.06%（33 cases）,which was higher than 76.47%（26 cases）of the control group（χ²=4.610,P=0.031）．Conclusion sResponsibility midwifery nursing mode combined with position management can promote natural childbirth,shorten the labor process,reduce the pain during labor,reduce the rate of cesarean section,and improve nursing satisfaction in elderly women,which is worthy of promotion．

目的 探讨基于失效模式与效应分析法（FMEA）风险管理模式的在消化内镜诊疗护理中的应用价值。方法 选取2021年7月—2022年12月在河南省人民医院接受无痛消化内镜诊疗的368例患者为研究对象,根据入组时间顺序,2022年3月及其之前入组患者为对照组（n=171）,实施常规护理管理;2022年3月之后入组的患者为观察组（n=197）,在对照组基础上,增加基于FMEA的护理风险管理模式,对比两组患者的护理质量。结果 观察组各环节风险优先级（RPN）值较干预前明显好转,RPN总分由1 044分降至336分,观察组不良事件发生率低于对照组（17.3% vs 33.3%,P<0.05）,观察组患者对医护人员满意度高于对照组（92.9% vs 85.4%,P<0.05）,观察组患者所需的等待时间低于对照组[（35.68±7.29）min vs （44.27±8.65）分min,P<0.05]。结论 FMEA风险管理模式能有效提高无痛消化内镜诊疗中的护理质量。

Objective To explore the application analysis of failure mode and effect analysis（FMEA）risk management model in digestive endoscopy diagnosis treatment and nursing．Methods A total of 368 patients who underwent painless endoscopic diagnosis and treatment at Henan Provincial People’s Hospital from July 2021 to December 2022 were selected．According to the order of enrollment,patients enrolled in March 2022 and before were selected as the control group（n=171）,and routine nursing management was implemented．The patients enrolled after March 2022 were in the observation group（n=197）．In addition to the control group,a nursing risk management model based on FMEA was added to compare the nursing quality of the two groups of patients．Results The risk priority number（RPN）values of each link in the observation group showed a significant improvement compared to that before intervention．The total RPN score decreased from 1 044 points to 336 points,and the incidence of adverse events in the observation group was lower than that in the control group（17.3% vs 33.3%,P<0.05）．The satisfaction of the observation group with medical staff was higher than that in the control group（92.9% vs 85.4%,P<0.05）．The waiting time required by the observation group was lower than that in the control group[（35.68±7.29）min vs（44.27±8.65）min,P<0.05]．Conclusion sThe FMEA risk management model can effectively improve the nursing quality in painless endoscopic diagnosis and treatment．

目的 构建并验证机械通气患儿肠内营养支持发生误吸的风险预测模型。方法 回顾性分析中山市博爱医院2021年3月—2023年3月儿童重症监护病房330例行机械通气并进行肠内营养的患儿临床资料,通过二元Logistic回归,获取机械通气患儿肠内营养支持发生误吸的预测因素,绘制列线图模型,并进行模型评价及验证。结果 330例机械通气患儿中,104例患儿发生误吸、226例未发生误吸。两组患儿在意识状态、机械通气方式、管饲量、胃残留量、胃管置入深度、促胃动力药、镇静剂等方面对比差异具有统计学意义（P<0.05）。二元Logistic结果显示,胃残留量、机械通气方式、管饲量、意识状态、胃管置入深度、促胃动力药、镇静剂是机械通气患儿肠内营养支持发生误吸的影响因素（P<0.05）。建模组AUC为0.810（95%CI：0.760~0.860）,Hosmer-Lemesh结果显示,χ²=3.245,P=0.846;外部验证组AUC为0.873（95%CI：0.831~0.914）,Hosmer-Lemesh结果显示,χ²=3.567,P=0.875。建模组和训练组DCA曲线大部分落于Y=0上方。建模组与外部验证组校准曲线均与参考曲线高度贴合,预测概率与实际概率接近,校准度良好。结论 基于胃残留量、机械通气方式、管饲量、意识状态、胃管置入深度、促胃动力药、镇静剂等7项指标构建的风险预测模型具有一定的临床价值,可作为医护人员识别肠内营养机械通气误吸高危患儿的工具。

Objective To establish and verify the risk prediction model of enteral nutritional aspiration in children with mechanical ventilation．Methods The clinical data of 330 children who underwent mechanical ventilation and enteral nutrition in the PICU of Zhongshan Boai Hospital from March 2021 to March 2023 were retrospectively analyzed．The independent predictive factors of enteral nutrition support aspiration in children with mechanical ventilation were obtained by binary Logistic regression,and the nomographic model was drawn,and the model was evaluated and verified. Results Among 330 children with mechanical ventilation,104 had aspiration and 226 did not．There were statistically significant differences between the two groups in consciousness state,mechanical ventilation mode,tube feeding amount,gastric residual amount,gastric tube insertion depth,gastric motivity drugs,sedatives,etc.（P<0.05）．Binary Logistic results showed that gastric residual amount,mechanical ventilation mode,tube feeding amount,state of consciousness,depth of gastric tube insertion,gastric motonics and sedatives were the influential factors of enteral nutritional aspiration in children with mechanical ventilation（P<0.05）．The AUC of the modeling group was 0.810（95%CI：0.760-0.860）,and the Hosmer-Lemesh result showed that χ²=3.245,P=0.846．The AUC of the external verification group was 0.873（95%CI：0.831-0.914）,and the Hosmer-Lemesh result showed that χ²=3.567,P=0.875．The DCA curves of modeling group and training group mostly were above Y=0．The calibration curves of the modeling group and the external verification group are highly fit to the reference curves,and the prediction probability was close to the actual probability,and the calibration degree was good．Conclusion sThe risk prediction model based on 7 indexes,including stomach residual amount,mechanical ventilation mode,tube feeding amount,state of consciousness,depth of gastric tube insertion,gastric motivity drug and sedative,with certain clinical value,and can be used as a tool for medical staff to identify children at high risk of enteral nutritional mechanical aspiration．

《流行病学》作为公共卫生与预防医学的主干课程,对于培养高质量公共卫生人才至关重要。在大数据、人工智能和互联网技术迅猛发展的时代背景下,传统的单一教学模式已无法满足现代医学教育的需求。线上线下混合教学模式逐渐成为高等医学教育的主要教学方式。这种模式结合了线上资源的丰富性和线下课堂的互动性,能够拓展教学内容,提高学生的自主学习能力。通过大数据分析和人工智能技术,可以提供个性化学习体验和实时反馈,优化教学效果。然而,这一模式在实际应用中仍面临诸如资源整合不够、师生互动不足等挑战。文章以广州医科大学为例,分析了《流行病学》课程中混合教学模式的优势与不足,并提出了针对性的改进建议。通过这些建议,旨在提升混合教学模式的有效性,为未来教学改革提供新的思路和参考。

Epidemiology,as a core course in public health and preventive medicine,is crucial for training high-quality public health professionals．With the rapid development of big data,artificial intelligence,and internet technologies,traditional single-mode teaching methods no longer meet the demands of modern education．The blended learning model,combining online and offline teaching,has gradually become a primary method in higher medical education．This model integrates the richness of online resources with the interactivity of offline classes,expanding instructional content and enhancing students' self-directed learning abilities．By leveraging big data analysis and artificial intelligence,personalized learning experiences and real-time feedback can be provided to optimize teaching effectiveness．However,this model still faces challenges such as inadequate resource integration and insufficient teacher-student interaction in practical application．This study uses a medical university as a case study to analyze the advantages and limitations of the blended learning model in epidemiology courses and proposes targeted improvement suggestions．The aim is to enhance the effectiveness of blended learning and provide new insights and references for future teaching reforms．

非酒精性脂肪性肝病(NAFLD)是世界范围内慢性肝病的一个主要原因,约15%的NAFLD患者会发展为非酒精性脂肪性肝炎、肝纤维化、肝硬化甚至肝癌。目前其发病及进展机制尚未明确,也无有效治疗手段。因此,构建临床前NAFLD动物模型至关重要,有助于为NAFLD提供临床治疗的新方案。本文将系统分析目前已构建的NAFLD动物模型在临床前研究中的局限性,并重点总结和综述基于基因编辑在NAFLD动物模型构建中的应用及研究进展,这对于探讨NAFLD发病机制及新药研发具有重要的临床意义。

Nonalcoholic fatty liver disease (NAFLD) is a leading cause of chronic liver disease worldwide, and about 15% of NAFLD patients will develop into nonalcoholic steatohepatitis, hepatic fibrosis, cirrhosis, and ultimately hepatocellular carcinoma. However, the biological mechanism of the pathogenesis and progression of NAFLD is not fully understood, and there are still no effective or targeted therapies for NAFLD. Therefore, it is an urgent need to construct pre-clinical animal models of NAFLD, which will help to better understand and explore the potential therapeutic strategy in the treatment of NAFLD. Here, we summarize the recent advances and limitations of the established animal models of NAFLD and focus on the potential application and research progress of genome editing for constructing the animal models of NAFLD. There animal models will be very useful to reveal the pathologic mechanism of human NAFLD, and to screen new therapeutic drugs.

目的 基于随机森林方法构建甲状腺功能减退（简称甲减）患病风险预测模型。方法 从MIMIC-IV数据库纳入5 735名甲减患者为病例组,4 803名非甲减患者为对照组,基于随机森林模型进行建模。同时利用逻辑回归、贝叶斯正则化神经网络、XGBoost作为比较模型。最后用准确率、F1分数、精确率、召回率、特异性以及AUC值评价四个机器学习模型性能。结果 随机森林模型准确率为0.85,F1分数为0.84,精确率为0.84,召回率为0.84,特异性为0.86,AUC值为0.91。在该模型中,促甲状腺激素、年龄、绝对淋巴细胞计数、血液中红细胞数、中性白细胞、性别、碱性磷酸酶、丙氨酸氨基转移酶、嗜酸性粒细胞绝对计数、尿素氮为甲减患者诊断重要性排前10的指标。结论 采用随机森林方法构建的甲减患病预测模型为甲减的早期诊断有潜在应用价值。

Objective To construct a risk prediction model for hypothyroidism based on the random forest model．Methods A total of 5 735 hypothyroidism patients were included from the MIMIC-IV database as the case group, and 4 803 non-hypothyroidism patients were included as the control group．Random forest models were constructed for both groups, and logistic regression, Bayesian regularized neural network, and XGBoost were used as comparative models．The performance of the four machine learning models was evaluated using accuracy, F1 score, precision, recall, specificity, and AUC value．Results The random forest model had an accuracy of 0.85, an F1 score of 0.84, a precision of 0.84, a recall of 0.84, a specificity of 0.86, and an AUC value of 0.91．In this model, thyroid-stimulating hormone, age, absolute lymphocyte count, red blood cell count in blood, neutrophil, gender, alkaline phosphatase, aspartate aminotransferase, absolute eosinophil count, and blood urea nitrogen were the top 10 indicators for diagnosing hypothyroidism patients．Conclusions The hypothyroidism disease prediction model constructed using the random forest method has potential application value for the early diagnosis of hypothyroidism．

目的 观察LACE风险模型下的护理干预策略在心脏瓣膜置换术后患者中的应用效果。方法 选取我院2021年3月—2022年3月心脏瓣膜置换术后患者82例作为研究对象,以患者入院顺序编号分为对照组、观察组,各41例。对照组予以常规护理,观察组予以LACE风险模型下的护理干预。比较2组出院时、干预后的自我管理能力及负性情绪;干预期间的术后并发症发生率、再入院率、用药依从性。结果 干预后观察组自我管理环境、自我管理行为、自我管理认知评分高于对照组（P<0.05）;观察组术后并发症发生率7.32%（3/41）、再入院率4.88%（2/41）均低于对照组24.39%（10/41）、21.95%（9/41,P<0.05）;观察组用药依从率97.56%（40/41）高于对照组78.05%（32/41,P<0.05）;干预后观察组汉密尔顿抑郁量表评分、汉密尔顿焦虑量表评分低于对照组（P<0.05）。结论 心脏瓣膜置换术后患者进行LACE风险模型下的护理干预后,患者的自我管理能力及用药依从性明显改善,同时其并发症发生率和再入院率有效降低,焦虑、抑郁等负性情绪得到缓解,具有良好护理效果。

Objective To observe the effect of nursing intervention strategy under LACE risk model in patients after heart valve replacement．Methods From March 2021 to March 2022,82 patients with heart valve replacement were enrolled as the study objects．The patients were divided into control group and observation group according to the order of admission,with 41 patients in each group．The control group was given routine nursing,and the observation group was given nursing intervention under LACE risk model．The self-management ability and negative emotions at discharge and after intervention were compared between the two groups．The incidence of postoperative complications,readmission rate and medication compliance during the intervention period were also compared．Results After intervention,the scores of self-management environment,self-management behavior and self-management cognition in the observation group were higher than those in the control group（P<0.05）．The postoperative complication rate of 7.32%（3/41）and readmission rate of 4.88%（2/41）in the observation group were lower than those of 24.39%（10/41）and 21.95%（9/41）in the control group（P<0.05）．The compliance rate of the observation group（97.56%）was higher than that of the control group（78.05%,P<0.05）．After intervention,the scores of Hamilton Depression Scale and Hamilton Anxiety Scale in the observation group were lower than those in the control group（P<0.05）．Conclusions After nursing intervention under LACE risk model for patients after heart valve replacement,the self-management ability and medication compliance of patients have been significantly improved,the incidence of complications and readmission rate have been effectively reduced,and negative emotions such as anxiety and depression have been alleviated,which has good nursing effect．