论著

低氧性肺动脉高压大鼠肺动脉平滑肌RT-PCR检测中内参基因的选择

Selection of suitable reference genes for normalization of RT-PCR in rat pulmonary artery smooth muscle cells of hypoxia pulmonary artery hypertension

:1-5
 
目的 评价实时荧光定量PCR分析低氧性肺动脉高压大鼠肺动脉平滑肌基因表达时12个候选内参基因表达的稳定性,获得最适合的内参基因。方法 以低氧性肺动脉高压大鼠肺动脉平滑肌为研究对象,选择文献报道的常用12种内参基因为候选内参基因,利用geNorm和NormFinder程序分析实时荧光定量PCR数据,筛选出最适内参基因。结果 12个候选内参基因在低氧性肺动脉高压大鼠肺动脉平滑肌表达稳定性由强到弱顺序为:TBP>B2M>HPRT1>HMBS>RPL13a>18sRNA>PPIA>ACTB>GUSB>TFRC>GAPDH>PGK1,平均表达稳定度(M值)均<0.5,geNorm和NormFinder评估后推荐使用TBP和B2M一起作为该研究时的内参基因。结论 同时使用TBP和B2M是实时荧光定量PCR分析低氧性肺动脉高压大鼠肺动脉平滑肌基因表达的最适合内参基因,为低氧性肺动脉高压相关基因研究提供最优内参基因。
Objective To compare and select the suitable reference genes in real-time quantitative PCR analysis of rat pulmonary artery smooth muscle cells mRNA expression level of pulmonary hypertension. Methods To choose appropriate reference gene, the expression of twelve commonly use housekeeping genes were examined in rat pulmonary artery smooth muscle cells of hypoxia-induced pulmonary hypertension by using geNorm and NormFinder programs. Results The expression consistency of 12 genes was (from high to low): TBP>B2M>HPRT1>HMBS>RPL13a>18sRNA>PPIA>ACTB>GUSB>TFRC>GAPDH>PGK1. The average expression stability(M) values of them were low than 0.5. TBP and B2M reference genes were recommended to use in the same condition. Conclusion TBP and B2M reference genes were the most suitable combination of the reference genes for real-time quantitative PCR analysis in rat pulmonary artery smooth muscle cells of hypoxia-induced pulmonary hypertension.
论著

RD105缺失基因检测法用于青海省北京/W系结核分枝杆菌鉴定

Identification of Beijing/W lineage mycobacterium tuberculosis in Qinghai province by using an RD105 deletion test

:11-14
 
目的 了解青海省北京/W系结核分枝杆菌分布特征。方法 收集青海地区结核分支杆菌临床分离株,采用RD105缺失基因检测鉴定北京/W系结核分枝杆菌。结果 共收集237株结核分枝杆菌临床分离株,采用RD105缺失基因检测鉴定北京/W系结核分枝杆菌220株,占92.8%,非北京/W结核分枝杆菌,共17株,占7.2%。北京/W系结核分枝杆菌在青海地区性别与民族分布差异没有统计学意义(P>0.05)。结论 北京/W结核分枝杆菌为青海地区流行菌株,在人群易于发生感染和传播。
Objective To ascertain the epidemiological characteristics of Beijing/W lineage Mycobacterium tuberculosis in Qinghai Province. Methods M. tuberculosis clinical isolates were collected and identified with an RD105 deletion test.Statistical analysis was performed by using the test. Results Totally, 237 clinical isolates of M. tuberculosis were collected in which 220 strains (92.8%) belonged to the Beijing/W lineage of M. tuberculosis while 17strains (7.2%) belonged to the non-Beijing/W lineage of M. tuberculosis according to the RD105 deletion test. There were no significant differences in the distribution of Beijing/W lineage of M. tuberculosis in the gender and nationality (P>0.05). Conclusion Beijing/W lineage of M. tuberculosis were prevalent in Qinghai province and prone to having infection and transmission in the crowd.
临床诊疗

二维超声联合三维超声检测不同孕期胎儿肢体畸形及其临床应用价值

Clinical Application of Test of Two dimensional Ultrasonography Combined Three dimensional Ultrasonography Applied in Fetal limb Deformities in Different Pregnancy Stage

:80-81
 
目的 探讨二维超声联合三维超声检测不同孕期胎儿肢体畸形的临床价值。方法 回顾性分析我科2013年1月—2015年1月超声筛查的1352名孕15~34周的孕妇,运用二维及三维超声,采用连续顺序追踪超声法检测胎儿四肢,将产前诊断结果与引产或引产结果对照。结果 1352名孕妇胎儿畸形46例(3.40%,46/1352),总涉及肢体73处(近端肢体畸形65处,远端肢体畸形8处),其中四肢短小9例(骨发育不全2例,单纯四肢短小畸形5例,成骨发育不全2例),漏诊2例;足畸形16例34处,漏诊1例,残肢畸形15例;手畸形6例,漏诊1例。结论 孕中期二维连续顺序追踪超声法联合三维超声胎儿肢体畸形检出率高,对及早发现胎儿肢体畸形有一定的诊断价值。
临床诊疗

河源市无偿献血者人群结构特征与血液检测结果分析

Analysis of the population structure of voluntary donors and their blood testing results

:77-79
 
目的 了解河源市无偿献血者的人群结构特征及其与血液检测结果的关系,为完善该地区安全血源招募和献血者筛查策略提供依据。方法 收集2014年1月1日—2014年12月31日该市15184例首次无偿献血者登记表及检测结果,统计分析无偿献血者的年龄、性别、职业、文化程度等分布情况及其血液检测结果不合格率。结果 该地区无偿献血者以男性(78.91%)、年龄以35岁以下(63.44%)、在职职员(34.08%)、大学专科以上文化程度(39.59%)为主体;献血模式以个人自愿(53.58%)和团体自愿(38.41%)为主。该市无偿献血者血液检测结果总体不合格率为4.29%,其中不同性别、年龄、职业、文化程度、献血模式的无偿献血者组间不合格率差异有统计学意义(χ2值分别为 19.079、38.103、61.042、41.191、44.079,P值均<0.05);多因素Logistic 回归分析显示性别、年龄、职业、文化程度和献血模式为血液检测结果不合格率的主要影响因素。结论 应根据无偿献血者人群结构特点有效开展献血知识宣传教育,认真做好献血前筛查。
论著

正常胎儿肺头比的超声测量

Measurement of lung area to head circumference ratio in normal fetuses by ultrasound

:24-26
 
目的 建立胎儿左、右肺面积及肺头比的正常参考值范围。方法 对501例正常单胎妊娠12~40周胎儿在标准四腔心切面应用手工描绘法分别描迹左肺、右肺面积,分别除以头围获得左、右肺头比。结果 获得正常妊娠胎儿左、右肺面积及肺头比各孕周参考值范围。胎儿左、右肺面积及肺头比均随孕周的增长而增大。结论 正常妊娠胎儿左、右肺面积及肺头比与孕周呈正相关。不同孕周LHR参考值的建立有利于临床评价膈疝及其他胸腔占位性疾病的预后。
Objective To establish reference intervals for fetal left and right lung areas and lung area to head circumference ratio (LHR). Methods In 501 cases of normal singleton pregnancy between 12 to 40 weeks, the left and right lung areas were measured respectively by ultrasound in the standard four chamber view, using manual tracing of the limits of the lungs. The left and right LHR were calculated when head circumferences were divided by the left and right lung area. Results Normal fetal reference intervals of left and right lung areas and LHR with gestational age were obtained. Fetal left and right lung areas and LHR increased with gestational age. Conclusion Fetal left and right lung areas and LHR values positively correlated with gestational age in normal pregnancy. Normal reference intervals of fetal LHR for every gestational age are valuable for evaluation of prognosis of fetal diaphragmatic hernia and other pulmonary peripheral space-occupying lesions.
论著

成年急性心力衰竭患者服药依从性预测模型的建立及评价

Establishment and evaluation of a predictive model for medication compliance in adult patients with acute heart failure

:1268-1276
 
目的 通过建立急性心力衰竭(AHF)患者服药依从性预测模型,提高AHF患者的服药依从性和临床管理效果。方法 纳入2021年1月—2023年12月在广州市番禺区何贤纪念医院住院治疗的580例AHF患者,通过收集患者的一般人口学资料、疾病相关资料及出院后6个月的服药依从性数据,应用Logistic回归模型分析患者服药依从性的影响因素,并基于影响因素建立预测模型。结果 患者服药依从性总体良好(75%)。依从性良好组与依从性差组的年龄、独居情况、合并基础病、服药种类、疾病了解评分、治疗信心评分和自我控制信心评分比较差异有统计学意义(P<0.05)。Logistic 回归分析显示危险因素包括年龄≥60岁(OR=1.774)、独居(OR=1.871)、合并基础病≥2种(OR=1.719)和服药种类≥7种(OR=1.456)。而疾病了解评分(OR=0.923)、治疗信心评分(OR=0.946)和自我控制信心评分(OR=0.901)是保护因素(P<0.05)。基于上述因素建立的预测模型,通过ROC曲线验证,曲线下面积为0.815(95%CI:0.780~0.850),提示所构建的模型具有良好的区分度。对该模型的校准度进行评价,P=0.528,提示该预测模型拟合度良好。此外,该预测模型的一致性指数为0.738,说明模型的预测性能良好。绘制的决策曲线中,曲线位于极端线之上,当阈概率取值在9%~59%时,对应的净获益率为0~27%,提示建立的模型具有优秀的临床有效性。结论 AHF患者的服药依从性受到多种因素的影响,包括年龄、居住状态、合并基础病种类及服药种类等。
Objective To establish a predictive model for medication compliance among acute heart failure(AHF)patients in order to enhance their therapeutic compliance and optimize clinical outcomes. Methods A total of 580 AHF inpatients at He Xian Memorial Hospital in Panyu District, Guangzhou between January 2021 and December 2023 were enrolled. Demographic information, disease-specific data,as well as post-discharge medication compliance records within six-month were collected by investigators. Utilizing logistic regression analysis revealed several influential determinants affecting medication compliance which formed the basis for constructing our predictive model. Results Generally,patient compliance was good(75%). The comparison between the good compliance group and the poor compliance group showed that there were significant differences in age, living alone,combined with underlying diseases, types of medication, disease understanding score, treatment confidence score and self-control confidence score(P<0. 05). Logistic regression analysis showed that independent risk indicators including individuals aged ≥60 years(odds ratio[OR]=1. 774), those living alone(OR=1. 871), presence of two or more underlying diseases(OR=1. 719), along with consumption of seven or more medications daily(OR=1. 456). Conversely,disease awareness score(OR=0. 923), treatment confidence score(OR=0. 946), and self-control confidence score(OR=0. 901)were identified as independent protective factors. Validation using receiver operating characteristic curves demonstrated robust predictive performance with an area under curve value of 0. 815(95%CI:0. 780-0. 850), affirming its efficacy. The calibration of the model was evaluated, with a P-value of 0. 528, indicating good fit of the predictive model. Additionally, the concordance index(C-index)of the model was 0. 738, suggesting its excellent predictive performance. The decision curve analysis revealed that the curve was above the extreme lines, with a net benefit rate ranging from 0 to 27% when the threshold probability falls between. Conclusions The medication compliance of AHF patients is influenced by various factors, including age, living arrangement, the number of underlying diseases, and the number of medications taken. Targeted interventions such as enhancing patient education, simplifying treatment regimens, and improving social support can effectively improve the medication compliance of AHF patients. The predictive model established in this study provides a scientific basis for clinicians to develop more precise and effective individualized intervention measures,thereby improving the prognosis and quality of life.

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论著

构建基于 MIMIC-IV 数据库的主动脉夹层 B 型患者急性期死亡风险列线图预测模型:一项回顾性分析

Development of a nomogram predictive model for acute mortality risk in patients with type B aortic dissection based on the MIMIC-IV database:A retrospective analysis

:1134-1144
 
       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% CI0.691 ~ 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.
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