护理研究

基于信息-动机-行为模型的护理干预对造口患者并发症及生活质量的影响

Effects of nursing intervention based on information-motivate-behavior model on complications and quality of life of patients with stoma

:1220-1225
 
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.
论著

机械通气患儿肠内营养支持发生误吸风险预测模型的构建及验证

Construction and verification of risk prediction model for aspiration of enteral nutrition support in mechanically ventilated children

:1325-1331
 
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.
专家综述

基因编辑在非酒精性脂肪性肝病动物模型构建中的应用及研究进展

Research progress of genome editing for constructing the animal models of nonalcoholic fatty liver disease

:8-13
 
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.
论著

基于随机森林算法建立甲状腺功能减退患病风险预测模型

Establishing a hypothyroidism risk prediction model based on random forest algorithm

:16-24
 
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.
论著

LACE风险模型下的护理干预策略对心脏瓣膜置换术后患者院外自我管理能力及再入院率的影响

Effect of nursing intervention strategies under LACE risk model on self-management ability outside hospital and readmission rate of patients after heart valve replacement

:58-62
 
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.
论著

兔腰椎间盘严重退变骨水泥成形术模型建立与鉴定

Establishment and identification of cementoplasty model of rabbit lumbar disc with severe degeneration

:35-39
 
目的 建立兔腰椎间盘严重退变骨水泥成形术模型并进行鉴定。方法 选用新西兰白兔6只,手术干预前摄腰椎正侧位X线片并进行MRI扫描Pfirrmann分级,之后通过腹外斜肌与腰大肌间隙入路手术去除兔腰2~3椎间盘髓核组织及部分纤维环模拟腰椎间盘严重退变状态。饲养6周后相应腰椎节段椎间盘进行MR扫描Pfirrmann分级,确认相应腰椎节段椎间盘符合严重退变影像表现后再次手术显露相应椎间隙并注入骨水泥。1周后再次摄腰椎正侧位X线片并行MRI扫描Pfirrmann分级,终末处死并解剖动物检查椎间盘内骨水泥填充情况。结果 兔腰椎间盘退化模型建立6周后磁共振Pfirrmann分级为Ⅴ级。椎间隙骨水泥注射后1周其术后磁共振Pfirrmann分级为Ⅳ。骨水泥注射模型1周后拍摄手术节段X线片显示骨水泥较好地填充于腰2~3间隙,椎间隙高度接近正常状态。终末处死并解剖动物发现腰椎节段椎间盘内骨水泥填充良好无脱落或松动。结论 通过腹外斜肌与腰大肌间隙入路,手术去除椎间盘髓核组织及部分纤维环6周后,往椎间隙内注入骨水泥,可获得较为可靠的新西兰大白兔腰椎间盘严重退变骨水泥成形术的动物模型。
Objective To establish and identify the rabbit model of lumbar disc with severe degeneration.Methods Six New Zealand white rabbits were selected,lumbar X-ray and Pfirrmann grade by MR scan were performed before surgical intervention.Along the space of obliquus externus abdominis and psoas major,the front edge of L2 to L3 was exposed.Then,the nucleus pulposus and part of annulus fibrosus were removed to imitate severe degeneration of lumbar disc.After 6 weeks of rearing,the operated lumbar disc was graded by MR scan,confirming that the lumbar disc met the image of severe degeneration,and then exposed the intervertebral space and injected bone cement.One week later,the anterior lumbar X-ray and the MRI scan for Pfirrmann grading were taken.The animals were sacrificed and dissected to check the bone cement filling in the intervertebral disc.Results The rabbit MR Pfirrmann grade of intervertebral disk was V after 6 weeks of first operation.One week after intervertebral cement injection,the MR Pfirrmann grade was Ⅳ.The surgical segment X-ray was taken one week after the cement injection,which showed that the cement was well filled in the L2-L3 gap and the vertebral space height was close to normal.Animals were sacrificed and dissected,the lumbar intervertebral disc was well filled with cement without shedding or loosening.Conclusions A reliable animal model of lumbar disc with severe degeneration in New Zealand white rabbits can be obtained by injecting cement into the intervertebral space after 6 weeks of removal of the intervertebral disc nucleus pulposus and part of the annulus fibrosus through the obliquus externus abdomins and psoas major intervertebral space.
论著

老年吸入性肺炎的危险因素分析及风险预测模型构建

Analysis of aspiration pneumonia risk factors in elderly patients and risk prediction model construction

:12-16
 
目的 探讨老年吸入性肺炎的危险因素,建立风险预测模型,以期降低老年吸入性肺炎的发病率。方法 选取2017年8月28日—2020年 10月30日广州市第一人民医院老年病科住院治疗的老年肺炎患者205例,按照是否发生吸入性肺炎分为吸入性肺炎组和非吸入性肺炎组,对比2组患者的各项指标,分析老年吸入性肺炎的危险因素,建立风险预测模型,采用ROC曲线对模型进行预测效果检验。结果 多因素Logistic回归分析结果显示,脑梗塞、帕金森、留置胃管、长期卧床为老年吸入性肺炎的危险因素(P<0.05)。模型公式为Logit(P)=-2.952+1.221X2+2.417X3+2.388X8+1.683X10。该模型ROC曲线下面积为0.894。结论 本研究中的模型预测效果良好,可为医护人员预测老年患者发生吸入性肺炎的概率,及时采取相应的预见性护理及干预性治疗。
Objective To explore the risk factors of aspiration pneumonia in the elderly and establish the risk prediction model, in order to reduce the incidence of aspiration pneumonia in the elderly. Methods A total of 205 elderly patients with pneumonia who were hospitalized in the department of geriatrics, Guangzhou First People's Hospital from August 28, 2017 to October 30, 2020, were divided into aspiration pneumonia group and non-aspiration pneumonia group according to whether aspiration pneumonia occurred. The indicators of the two groups of patients were compared, the risk factors of aspiration pneumonia in the elderly were analyzed, the risk prediction model was established, and the prediction effect of the model was tested by receiver operating characteristic curve. Results Multivariate Logistic regression analysis showed that cerebral infarction, Parkinson's disease, indwelling nasogastric tube, and being bedridden were risk factors for aspiration pneumonia in elderly patients (P<0.05). The model formula was Logit (P)=-2.952+1.221X2+2.417X3+2.388X8+1.683X10. The area under receiver operating characteristic curve of this model was 0.894. Conclusion The prediction effect of the model in this study was good, which could predict the probability of aspiration pneumonia in elderly patients for medical staff, and to timely take the corresponding predictive care and interventional treatment.
论著

m6A甲基化基因风险评估模型在卵巢癌预后的临床意义

The significance of m6A genes risk model in the prognosis of ovarian cancer

:1-8
 
目的 探究m6A甲基化基因与卵巢癌生存预后的关系,为卵巢癌的靶向治疗、预后评估提供科学依据。方法 从TCGA及GTEx数据库中下载卵巢癌组织与正常组织mRNA表达数据进行组间差异分析,通过LASSO回归筛选与卵巢癌生存相关基因,进一步使用逐步Cox回归分析构建风险评分预测模型,根据风险评分中位数将患者分为高风险组和低风险组并使用ROC曲线下面积评价模型的预测能力。相关性分析构建与m6A基因的共表达调控网络,GO功能富集和KEGG通路分析初步探讨潜在的生物作用机制。结果 在癌组织与正常组织中发现20个m6A甲基化基因差异表达,逐步Cox回归分析筛选出3个基因(HNRNPA2B1,ZC3H13,WTAP)用于构建风险评分模型,高风险组患者的生存期较低风险组患者明显缩短(P=0.001 9),死亡风险显著增加(HR=2.643, P<0.01),风险评分模型结合患者年龄、临床分级和分期后,1、3、5年的AUC为0.74、0.64、0.64。生物信息学分析结果提示m6A相关基因参与RNA的剪接、定位、转运、代谢调控、蛋白水解、细胞周期、核糖体合成等生物学过程。结论 成功构建卵巢癌m6A甲基化基因预后风险评估模型且该模型具备一定的预测效能。
Objective To explore the relationship between m6A methylated genes and prognosis of ovarian cancer, so as to provide scientific basis for targeted therapy and prognosis assessment of ovarian cancer. Methods The mRNA expression data of ovarian cancer tissues and normal tissues were downloaded from TCGA and GTEx databases for difference analysis between two groups. The genes related to ovarian cancer survival were screened by LASSO regression, and the risk score prediction model was further constructed by step Cox regression analysis. The patients were divided into high-risk group and low-risk group according to the median risk score, and the ROC was used for analysis. Correlation analysis was performed to construct an expression regulatory network with m6A genes, and GO function enrichment and KEGG pathway analysis were performed to preliminarily explore the potential biological mechanism. Results 20 m6A methylation genes were found in differential expression between cancer tissue and normal tissue, three genes (HNRNPA2B1, ZC3H13, WTAP) were used to construct the model through step Cox regression analysis. Patients' survivals of high-risk group were shortened than that of the low-risk group obviously (P=0.001 9), the risk of death significantly was increased (HR=2.643, P<0.01). After risk score model combined with patient age, clinical classification and stage, the AUC of 1, 3, 5 years was 0.74, 0.64 and 0.64. Bioinformatics analysis indicated that those m6A genes were involved in RNA splicing, localization, transport, metabolic regulation, proteolysis, cell cycle, ribosome synthesis and other biological processes. Conclusion The prognostic risk assessment model of m6A methylated genes for ovarian cancer was successfully constructed and the model had certain predictive efficacy.
论著

不同管电流下肺结节影像特征参数曲线模型研究

Study on the characteristic parameter curve model of pulmonary nodules under different tube current

:80-85
 
目的 通过建立特征参数曲线模型分析在不同CT扫描条件下对肺结节鉴别诊断的量化意义。方法 回顾性分析2018年9月—2019年10月我院收治的肺结节患者的CT胸部平扫图像为研究对象,纳入标准为结节直径≥3 mm,无其他病史。在筛选出的96例样本中,符合条件的样本68例(男性39例,女性29例),按扫描剂量的不同将研究对象分为低剂量观察组(管电压120 kV,管电流20 mA)和常规剂量组(管电压120 kV,管电流150 mA),每组各34例;通过测量并计算扫描长度、有效剂量、样本体型、信噪比相关参数,观察不同管电流与有效辐射剂量之间的相关性以及图像质量;运用PACS人工智能软件以及人工综合提取肺结节特征信息(直径、体积、密度纹理、边缘细节、内部结构)并记录数据,进而通过公式计算出肺结节质量;应用U检验分析比较不同管电流下各参数的组间差异,经过单元逻辑对确定的重要参数体积与质量纳入多元逻辑分析,建立特征参数曲线模型并测量曲线下面积及勾画ROC;使用卡方分析评价不同管电流下建立特征参数曲线模型对肺结节定量诊断分析的差异并同时比较不同管电流下的图像质量。结果 研究中发现,样本接受的有效辐射剂量在管电压一定的条件下,随管电流的增加而线性增加;样本肥胖患者(BMI≥23.9)的CT图像在使用低剂量扫描中呈现出明显噪声,影响组织间观察,而BMI标准(18.5≤BMI≤23.9)的样本的CT图像中,肺结节的信噪比与管电流变化未出现明显趋势阈值,差异无统计学意义(P<0.05);通过特征参数曲线模型显示,肺结节的体积与质量均质性曲线显示出其变化趋势与管电流变化成相关性,且稳定性和一致性较好,故此二要素为模型主要分析成分,观察组ROC曲线显示其曲线下面积为0.826高于常规组ROC曲线显示其曲线下面积为0.747。结论 与常规剂量相比,低剂量CT扫描模式下建立特征参数曲线模型对肺结节鉴别诊断更有可量化意义。
Objective The quantitative significance of differential diagnosis of pulmonary nodules under different CT scanning conditions was analyzed by establishing characteristic parameter curve model. Methods CT plain chest scan images of patients with pulmonary nodules treated in our hospital from September 2018 to October 2019 were analyzed retrospectively. The inclusion criteria were nodule diameter ≥3 mm and no other medical history. Of the 96 selected samples, 68 met the criteria (39 males and 29 females).According to the different scanning dose, the subjects were divided into low dose observation group (tube voltage 120 kV, tube current 20 mA) and conventional dose group (tube voltage 120 kV, tube current 150 mA).There were 34 cases in each group, and the correlation between different tube current and effective radiation dose and image quality were observed by measuring and calculating the relevant parameters of scanning length, effective dose, sample shape and signal-to-noise ratio. PACS artificial intelligence software and artificial synthesis were used to extract the characteristic information (diameter, volume, density texture, edge details, internal structure) of pulmonary nodules and record the data. Furthermore, the mass of pulmonary nodules was calculated by formula, the differences of parameters under different tube currents were compared by U test, the volume and mass of important parameters determined by unit logic were incorporated into multivariate logic analysis. The curve model of characteristic parameters was established, the area under the curve was measured and ROC was sketched. Chi-square analysis was used to evaluate the difference of characteristic parameter curve model for quantitative diagnosis of pulmonary nodules under different tube currents, and to compare the image quality under different tube currents at the same time. Results In the study, it is found that the effective radiation dose received by the sample increases linearly with the increase of tube current under the condition of constant tube voltage. The CT images of obese patients (BMI≥23.9) showed obvious noise when using low dose scan, which affected the inter-tissue observation. However, in the CT images of the samples with BMI standard (18.5 ≤ BMI ≤ 23.9), there was no obvious trend threshold between the signal-to-noise ratio and tube current of pulmonary nodules, and the difference was not statistically significant (P<0.05).The characteristic parameter curve model showed that the volume and mass homogeneity curve of pulmonary nodules showed the change trend was correlated with the change of tube current, and the stability and consistency were good, so the two elements were the main analytical components of the model. The ROC curve of the observation group showed that the area under the curve was 0.826, which was higher than that of the conventional group, the area under the curve of the ROC curve was 0.747. Conclusion Compared with conventional dose, the establishment of characteristic parameter curve model under low dose CT scan mode is more quantifiable for differential diagnosis of pulmonary nodules.
论著

基于Kirkpatrick模型的广州市社区医务人员对颈动脉狭窄防治知识和需求调查

Investigation on the knowledge and needs of carotid stenosis prevention among community health workers in Guangzhou based on Kirkpatrick model

:42-45
 
目的 了解广州市社区医务人员对颈动脉狭窄防治知识的认知程度、认知途径及对相关健康教育的需求情况。方法 对37家社区卫生服务中心194名广州市社区医务人员进行问卷调查,分析调查结果。结果 社区医务人员中52.58%能够指出颈动脉狭窄与脑卒中的关系,但对症状性颈动脉狭窄定义、颈动脉狭窄的外科治疗方法知晓率偏低(14.95%、18.56%),97.94%能够指出颈部彩超是颈动脉狭窄最常用的筛查方法,但对彩超结果判读、干预方法指导等方面内容掌握率偏低。对颈动脉狭窄知识来源目前最主要的是用药指南和药品说明书(33.89%)认为最有效获得颈动脉狭窄知识的途径是专题继续教育培训班(26.12%)。结论 社区医务人员已经形成了脑卒中和颈动脉狭窄的基本观念,但是不能达到足够的“深度”,通过开展多种形式继续教育,增进社区医务人员对颈动脉狭窄认知的广度和深度,引导和拓宽获得知识的途径将是必要和有效的。
Objective To understand the knowledge and needs of carotid stenosis prevention among community health workers in Guangzhou. Methods A Kirkpatrick model-based questionnaire survey was conducted among 194 health workers in community health service center in Guangzhou. Results 52.58% of the community medical staff could point out the relationship between carotid stenosis and stroke, but few of them could accurately point out the definition and surgical treatment of symptomatic carotid stenosis(14.95%,18.56%). 97.94% of them could pointed out that the most commonly used screening methods for cervical carotid stenosis, but most of them didn't know how to interpret the inspection result of color doppler ultrasound. Medication guide were the main knowledge source of carotid stenosis(33.89%) and post-graduate training was the most promising approach(26.12%). Conclusion Community health workers have formed the basic concept of stroke and carotid stenosis, but it was limited in extent. It is necessary to carry out various forms of continuing education to improve the level of awareness of community health workers on carotid artery stenosis.
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