The Use of Fuzzy Clustering and Correlation to Implement an Heart Disease Diagnosing System in FPGA

In this paper we present a signal processing method capable of detecting cardiopathies in electrocardiograms that was implemented in FPGA. The adopted procedure is based on fuzzy clustering to reduce the amount of data sampling, and a comparison with samples from a previously established database. By using the correlation method on the samples, it is possible to establish an initial indication of a cardiopathy. The reduced number of samples of the clustering process turns the processing simpler and allows its hardware implementation. According to the tests conducted, the method achieves 91% correct diagnoses.

Correlation between levels of serum FKN and clinical index in patients with coronary atherosclerotic heart disease

Objective: To investigate the correlation and clinical significance between the serum Fractalkine (FKN) and interleukin-6 (IL-6), C-reactive protein (CRP), BNP, CK, CK-MB, TC, TG, LDL-C, HDL-C levels in patients with coronary atherosclerotic heart disease (CHD). Methods: A total of 95 cases of patients with coronary heart disease were admitted to the Department of Cardiology, the First Affiliated Hospital of Xinjiang Medical University, March 2016 to December 2016, including 52 patients with stable angina pectoris (SAP) and 43 patients with Acute coronary syndrome (ACS), 45 matched healthy subjects were collected. The Serum levels of FKN were detected by ELISA. The correlation and significance of FKN and clinical indexes were analyzed. Results: (1) the levels of serum FKN, IL-6, CRP, BNP, CK, CK-MB, TC, TG, LDL-C in the SAP group and ACS group were significantly higher than those in the control group, HDL-C were significantly decreased. Compared with SAP group, serum FKN level was significantly increased and IL-6, CRP, BNP, CK and CK-MB levels were significantly increased in ACS group, TC, TG, LDL-C, HDL-C levels were not significant difference between SAP group and ACS group. (2) Correlation analyses showed that there was a significant positive correlation between FKN levels and IL-6, CRP, BNP, CK, CK-MB, LDL-C, significant Negative correlation between FKN levels and HDL-C, weakly positive correlation between FKN levels and TC, and no correlation between FKN levels and TG. Conclusions: The serum levels of FKN in patients with CHD are significantly increased, which are closely related to the inflammatory reaction and can be used as biomarker of CHD for early diagnosis and prognosis.

The Correlation between Free Triiodothyronine, Free Thyroxine and Hypertension in Depression Patients with Hypothyroidism and Its Clinical Guiding Value

Background: Cardiovascular diseases, such as hypertension and coronary heart disease, are often accompanied by thyroid and mental diseases, the harm of which poses great threats to patients’ health. Objective: To explore the correlation between free triiodothyronine (FT3), free thyroxine (FT4) and hypertension in depression patients with hypothyroidism and its clinical guiding value. Methods: A total of 548 patients diagnosed with hypothyroidism in Wuxue First People’s Hospital of Hubei Province from January 2018 to September 2022 were enrolled. According to whether complicated with depression, they were divided into hypothyroidism without depression group (group A) and hypothyroidism with depression group (group B). The gender, age, comorbidities (such as depression, hypertension, diabetes, dyslipidemia, acute myocardial infarction), FT3, FT4, and thyroid stimulating hormone (TSH) levels were recorded. Spearman rank correlation was used to analyze hypertensive patients with hypothyroidism. Multivariate binary Logistic regression was used to analyze the influencing factors of hypertension in patients with hypothyroidism. Results: The TSH level, the number of hypertension, coronary heart disease and hyperlipidemia in group B were statistically significantly higher than those in group A (P 3 level in group B was statistically significantly lower than that in group A (P s = 0.092), coronary heart disease (rs = 0.000), hyperlipidemia (rs = 0.000), diabetes (rs = 0.000), and age (rs = 0.000), and negatively correlated with FT3 (rs = 0.000) (P 3 and FT4 were the influencing factors of hypertension. The risk of hypertension in patients with coronary heart disease and hyperlipidemia significantly increased by 3.425 and 1.761 times (P 3, the risk of hypertension increased (P 4, the risk of hypertension significantly increased (P 3 and FT4 are the influencing factors of hypertension. The lower the FT3 level, the higher the FT4 level, the higher the risk of hypertension. FT3 and FT4 may be potential biomarkers of depression in hypertensive patients. Thyroid function assessment is recommended in patients with hypertension.

Assessing inflammation in Chinese subjects with subtypes of heart failure: an observational study of the Chinese PLA Hospital Heart Failure Registry

Background Inflammation is an important element of the pathophysiological process of heart failure (HF) and is correlated with subtypes of HF. The association between multiple biomarkers of inflammation and HF subtypes in Chinese subjects remains unclear. This study aimed to compare the differences in inflammation biomarkers among Chinese patients with different subtypes of HF who have been identified to date. Methods We included 413 consecutive patients with HF,including 262 with preserved ejection fraction (HFpEF),55 with middle-ranged ejection fraction (HFmrEF) and 96 with reduced ejection fraction (HFrEF). Ten inflammation biomarkers were analyzed and compared according to the HF subtypes. One hundred contemporary non-HF subjects were also recruited as the control group. Moreover,the correlations between the inflammatory biomarkers and left ventricular ejection fraction of the HF subtypes were assessed. Results The mean age of the HF patients was 65.0 ± 12.0 years,65.8% were male. Distinct subtypes of HF demonstrated different inflammation biomarker panels. IL-6,PTX-3,ANGPTL-4 and TNF-α were correlated with HFrEF;IL-1β and PTX-3 were correlated with HFmrEF;and IL-1β and IL-6 were correlated with HFpEF. The multivariable logistic regression showed that IL-1β[relative ratio (RR)= 1.08,95% CI: 1.02–1.15,P = 0.010],IL-6 (RR = 1.03,95% CI: 1.01–1.06,P = 0.016),PTX-3 (RR = 1.31,95% CI: 1.11–1.55,P = 0.001),and ANGPTL-4 (RR = 1.05,95% CI: 1.02–1.07,P < 0.001) were independently associated with HF,while IL-6 (RR = 1.03,95% CI: 1.01–1.04,P = 0.019),PTX-3 (RR = 1.23,95% CI: 1.06–1.43,P = 0.007),and ANGPTL-4 (RR = 1.03,95% CI: 1.01–1.06,P = 0.005) were independently associated with the HF subtype. Conclusions Diverse inflammation biomarkers have multifaceted presentations according to the subtype of HF,which may illustrate the diverse mechanisms of inflammation in Chinese HF patients. IL-6,PTX-3,and ANGPTL-4 were independent inflammation factors associated with HFrEF and HF.

Automatic Extraction of Medical Latent Variables from ECG Signals Utilizing a Mutual Information-Based Technique and Capsular Neural Networks for Arrhythmia Detection

From a medical perspective,the 12 leads of the heart in an electrocardiogram(ECG)signal have functional dependencies with each other.Therefore,all these leads report different aspects of an arrhythmia.Their differences lie in the level of highlighting and displaying information about that arrhythmia.For example,although all leads show traces of atrial excitation,this function is more evident in lead II than in any other lead.In this article,a new model was proposed using ECG functional and structural dependencies between heart leads.In the prescreening stage,the ECG signals are segmented from the QRS point so that further analyzes can be performed on these segments in a more detailed manner.The mutual information indices were used to assess the relationship between leads.In order to calculate mutual information,the correlation between the 12 ECG leads has been calculated.The output of this step is a matrix containing all mutual information.Furthermore,to calculate the structural information of ECG signals,a capsule neural network was implemented to aid physicians in the automatic classification of cardiac arrhythmias.The architecture of this capsule neural network has been modified to perform the classification task.In the experimental results section,the proposed model was used to classify arrhythmias in ECG signals from the Chapman dataset.Numerical evaluations showed that this model has a precision of 97.02%,recall of 96.13%,F1-score of 96.57%and accuracy of 97.38%,indicating acceptable performance compared to other state-of-the-art methods.The proposed method shows an average accuracy of 2%superiority over similar works.

The value of real-time three-dimensional echocardiography in evaluating left ventricular function for different degrees of heart failure

Objective:To explore the value and feasibility of real-time three-dimensional echocardiography(RT-3DE)in evaluating left ventricular function in patients with different degrees of heart failure.Methods:The 60 heart failure patients in the case group were divided into three subgroups according to the New York Heart Association(NYHA)classification:12 cases of cardiac function gradeⅡ,35 cases of cardiac function gradeⅢ,13 cases of cardiac function grade IV,and the other 30 cases of healthy subjects as control group.Compare the left ventricular end-diastolic volume(LVEDV),left ventricular end-systolic volume(LVESV),left ventricular ejection fraction(LVEF),and left ventricular 16,12,and 6 segments reaching the minimum systolic volume time standard deviation standardized value(Tmsv SD%),left ventricular 16,12 and 6 segments reaching the minimum systolic volume time standardized values of the maximum difference(Tmsv DIF%),analysis of the correlation between the above left ventricular function-related parameters and cardiac function grading.Results:(1)There were statistically significant differences in LVEDV and LVESV between each group(p<0.001).There was no statistically significant difference in LVEF between the cardiac function gradeⅡgroup and the control group,and between the grade IV group and the gradeⅢgroup(p=0.094 and 0.246).(2)compared with the control group,all parameters related to RT-3DE evaluation of left ventricular synchronization were prolonged in the case group,and the difference was statistically significant(p<0.001).The differences of Tmsv 16-SD%and Tmsv 16-DIF%in each subgroup of the case group were statistically significant(p<0.001).(3)LVEF was negatively correlated with NYHA classification of cardiac function(rs=-0.779,p<0.001),and LVEDV,LVESV,Tmsv 16-SD%,Tmsv 12-SD%,Tmsv 6-SD%,Tmsv 16-DIF%,Tmsv 12-DIF%,Tmsv 6-DIF%were positively correlated with NYHA function classification,showing strong correlation(rs=0.710,0.785,0.885,0.675,0.605,0.885,0.695,0.622,p<0.001),among them,Tmsv 16-SD%and Tmsv 16-Dif%have the highest correlation.Conclusion:RT-3DE can comprehensively evaluate the impairment of cardiac function.The measured parameters of left ventricular function are strongly correlated with cardiac function classification,which has impo-rtant application value for clinical judgment of the severity of heartfailure.

Bioinformatics Analysis Revealed Potential Tumor Suppressors (KLF4/CGN), Oncogenes (SHH/LIF) and Biomarkers of Asian Stomach Adenocarcinoma

Stomach adenocarcinoma (STAD) is the fifth most prevalent cancer and the third leading cause of cancer-related death in the world and is more common in Asia than in most Western countries. There is an urgent need to identify potential novel oncogenes and tumor suppressor genes, and biomarkers for STAD. 6652 differentially expressed genes were identified between STAD and normal samples based on the transcriptome data analysis of the TCGA and GEO databases. 13 key modules were identified in STAD by WGCNA analysis. 293 potential STAD associated genes were identified from intersection by Venn Diagram. The 293 intersected genes were enriched in cell cortex and infection by GO and KEGG analysis. 10 hub genes were identified from PPI and Cytoscape analyses of the intersected genes. KLF4/CGN low and SHH/LIF high expression were associated with short overall survival of Asian STAD patients. Bioinformatics analysis revealed potential novel tumor suppressors (KLF4/CGN), oncogenes (SHH/LIF) and biomarkers for diagnosis, therapy and prognosis of STAD, specifically for Asian patients.

The Prevalence and Short-Term Outcomes of Ventricular Dyssynchrony after Right Ventricular Pacing

Objective: Long-term right ventricular pacing has been associated with an increased risk of heart failure and cardiomyopathy. The pathophysiology of cardiomyopathy associated with right ventricular pacing remains unclear. We aim to evaluate the burden and short-term outcomes of ventricular dyssynchrony after immediate permanent pacemaker implantation. Materials and Methods: This prospective cohort study examined consecutive patients who had permanent pacemaker implantation at Vajira Hospital in 2019. Left ventricular systolic function, specifically left ventricular ejection fraction (LVEF) and echocardiographic ventricular dyssynchrony parameters were assessed. The endpoints included the prevalence of ventricular dyssynchrony, new-onset cardiomyopathy, heart failure, and death. The correlation between QRS complex duration, the burden of ventricular pacing, and echocardiographic ventricular dyssynchrony was measured. Results: Thirty-six consecutive patients underwent pacemaker implantation. The prevalence of mechanical ventricular dyssynchrony was 22.2% using the interventricular conduction delay method, 41.7% using LV pre-ejection period method, and 11.1% using the septal posterior wall motion abnormality method. Electrical ventricular dyssynchrony was 86.1% and new-onset cardiomyopathy was 17.1% after 3 months of permanent pacemaker implantation. The right ventricular pacing of more than 20% was significantly associated with cardiomyopathy (p < 0.022) and heart failure (log-rank, p = 0.049) within 3 months. But heart failure was not associated with mechanical ventricular dyssynchrony parameters (log-rank, p = 0.610;hazard ratio [HR], 1.53;95% confidence interval [CI], 0.29 - 7.96;p = 0.613 for IVMD and log-rank, p = 0.398;HR, 0.04;95% CI, 0.01 - 3316.7 for SPWMD). Conclusion: Mechanical and electrical ventricular dyssynchrony are common findings in right ventricular pacing. High-burden right ventricular pacing after 3 months of permanent pacemaker implantation is often associated with cardiomyopathy and heart failure, but mechanical and electrical ventricular dyssynchrony does not predict a short-term decline in left ventricular systolic function and heart failure.

High morbidity in myocardial infarction and heart failure patients after gastric cancer surgery

AIM:To evaluate to morbidity and mortality differences between 4 underlying heart diseases,myocardial infarction(MI),angina pectoris(Angina),heart failure(HF),and atrial fibrillation(AF),after radical surgery for gastric cancer.METHODS:We retrospectively collected data from 221 patients of a total of 15167 patients who underwent radical gastrectomy and were preoperatively diagnosed with a history of Angina,MI,HF,or AF in 8 hospitals.RESULTS:We find that the total morbidity rate is significantly higher in the MI group(44%) than the Angina(15.7%),AF(18.8%),and HF(23.1%) groups(P < 0.01).Moreover,we note that the risk for postoperative cardiac problems is higher in patients with a history of HF(23.1%) than patients with a historyof Angina(2.2%),AF(4.3%),or MI(6%; P = 0.01).The HF and MI groups each have 1 case of cardiogenic mortality.CONCLUSION:We conclude that MI patients have a higher risk of morbidity,and HF patients have a higher risk of postoperative cardiac problems than Angina or AF.

Power Spectral Analysis of Heart Rate Variability of Driver Fatigue

This investigation was to evaluate the driving fatigue based on power spectral analysis of heart rate variability (HRV) under vertical vibration. Forty healthy male subjects (29.7±3.5 years) were randomly divided into two groups, Group A (28.8±4.3 years) and Group B (30.6±2.7 years). Group A (experiment group) was required to perform the simulated driving and Group B (control group) kept calm for 90 min. The frequency domain indices of HRV such as low frequency (0.04 0.15 Hz, LF), high frequency (0.150.4 Hz, HF), LF/HF together with the indices of hemodynamics such as blood pressure (BP) and heart rate (HR) of the subjects between both groups were calculated and analyzed after the simulated driving. There were significances of the former indices between both groups (P<0.05). All the data collected after experiment of Group A was observed the remarkable linear correlation (P<0.05) and parameters and errors of their linear regression equation were stated (α=0.05, P<0.001) in this paper, respectively. The present study investigated that sympathetic activity of the subjects enhanced after the simulated driving while parasympathetic activities decreased. The sympathovagal balance was also improved. As autonomic function indictors of HRV reflected fatigue level, quantitative evaluation of driving mental fatigue from physiological reaction could be possible.

Relationship between lipidslevelsand right ventricular volume overload in congestive heart failure

BackgroundThe relationship between lipids and coronary artery disease has been well established. However, this is not the case between lipids and heart failure. Ironically, high lipid levels are associated with better outcomes in heart failure, but the mechan-isms underlying the phenomenon are not fully understood. This study was performed to test the hypothesis that reduced intestinal lipid absorption due to venous congestion may lead to low lipid levels.MethodsWe collected data of clinical characteristics, echocardio-graph, and lipid profile in 442 unselected patients with congestive heart failure. Correlations between lipid levels[including total cho-lesterol（TCL）, high-density lipoprotein cholesterol（HDL-C）, low-density lipoprotein cholesterol（LDL-C）, and triglycerides（TG）]and right ventricle end diastolic diameter （RVEDD）, left ventricle end diastolic diameter （LVEDD）, right atrium diameter （RA）, left atrium diameter （LA）, or left ventricle ejection fraction （LVEF） were analyzed using Pearson correlation and partial correlation. RVEDD, LVEDD, RA, and LA were indexed to the body surface area.ResultsThere was a significantly inverse correlation between TCL le-vels and RVEDD （r=-0.34,P〈0.001） and RA （r=-0.36,P〈0.001）. Other lipids such as LDL-C, HDL-C, and TG had asimilar inverse correlation with RVEDD and RA. All these correlations remained unchanged after adjusting for age, gender, smoking status, physical activity levels, comorbidities, and medication use.ConclusionsLipid levels were inversely correlated to RVEDD in patients with congestive heart failure; however, because this was an observational study, further investigation is needed to verify our results as wellas identify a causal relationship, if any.

APPLICATION OF FRACTAL THEORY IN TRANSIENT CHAOTIC SIGNAL DETECTION

According to the definition of correlation dimension in fractal theory, this paper presented a method to determine and assess noise part in detected transient signal. Such work is essential to decrease the noise part in the detected signal. It is proved that heart period signal (HPS) is one typical sort of transient chaotic signal. Through experiment and simulation, the analysis of chaotic HPS in the detected signal was done. In the end, we deepen the researches on attractor dimension of HPS for persons who are different in age.

The Research of Fractal Characteristics of the Electrocardiogram in a Real Time Mode

The article presents the results of recent investigations into Holter monitoring of ECG, using non-linear analysis methods. This paper discusses one of the modern methods of time series analysis--a method of deterministic chaos theory. It involves the transition from study of the characteristics of the signal to the investigation of metric （and probabilistic） properties of the reconstructed attractor of the signal. It is shown that one of the most precise characteristics of the functional state of biological systems is the dynamical trend of correlation dimension and entropy of the reconstructed attractor. On the basis of this it is suggested that a complex programming apparatus be created for calculating these characteristics on line. A similar programming product is being created now with the support of RFBR. The first results of the working program, its adjustment, and further development, are also considered in the article.

南海西沙群岛海域鸢乌贼Sthenoteuthis oualaniensis胃组织微塑料沉积特性研究

随着微塑料在全球海洋环境和鱼类中被发现,海洋微塑料污染越来越受到各界学者的关注。然而头足类微塑料的研究甚少,南海鸢乌贼(Sthenoteuthis oualaniensis)对微塑料的摄取特性的研究更是未见报道。根据2020年3~5月中国生产调查船于南海西沙群岛海域采集的36尾鸢乌贼样本,对其胃组织微塑料沉积特性进行了研究。结果表明,36尾鸢乌贼样本中有33尾胃组织中发现微塑料,共计88个,单个样本微塑料含量介于0~6个,平均为2.44个。微塑料长度范围为0.121~2.748 mm,平均为0.878mm,且75.0%的微塑料长度小于1mm;颜色包括黑色(39.8%)、蓝色(31.8%)、透明(10.2%)、白色(6.8%)、红色(6.8%)和黄色(4.6%)6种,材质主要由棉(cotton)(50.0%)、聚对苯二甲酸乙二醇酯(PET)(21.6%)、人造丝(Rayon)(10.2%)、聚酯纤维(Polyester)(9.1%)、聚苯乙烯泡沫塑料(Styrofoam)(4.5%)、聚乙烯(PE)(2.3%)和丙烯酸塑料(acrylic)(2.3%)7种组成。相关性分析表明,南海鸢乌贼胃组织微塑料的含量与胃重、摄食强度无显著相关性,但与平均胴长、体重、年龄呈显著线性相关。研究结果认为,南海鸢乌贼胃组织微塑料的沉积随着个体的生长而逐渐积聚,这种积聚与自身生长可能呈对数函数关系(a>1)。

血清游离脂肪酸和心型脂肪酸结合蛋白表达与2型糖尿病病人动脉粥样硬化斑块的关系研究

目的探讨血清游离脂肪酸(FFA)和心型脂肪酸结合蛋白(H-FABP)表达与2型糖尿病(T2DM)病人动脉粥样硬化斑块(CAP)的关系研究。方法选取2020年6月至2022年6月保定市第四中心医院接收的T2DM病人302例为研究对象。通过颈动脉超声检查进一步将研究对象分为CAP组(165例)和无CAP组(137例)。采用酶联免疫吸附测定(ELISA)检测血清FFA、H-FABP水平;采用logistic多因素回归分析CAP发生的影响因素;采用Spearman法分析血清FFA、H-FABP水平及与临床资料的相关性分析;采用受试者操作特征曲线(ROC曲线)评价血清FFA、H-FABP及其联合对CAP发生的诊断效能。结果相较于无CAP组,CAP组年龄、高血压史、C反应蛋白(CRP)、三酰甘油(TG)、低密度脂蛋白胆固醇(LDL)、载脂蛋白A(ApoA)、FFA、H-FABP[(4.63±1.43)μg/L比(3.68±1.05)μg/L]水平显著上升(P<0.05),LPa水平显著下降(P<0.05)。logistic分析显示,年龄、CRP、TG、LDL、FFA、H-FABP均是T2DM病人CAP发生的独立危险因素(P<0.05)。T2DM合并CAP病人血清FFA与H-FABP、年龄、CRP、TG、LDL水平呈正相关(rs=0.61、0.59、0.52、0.57、0.55,P<0.05)。血清H-FABP与年龄、CRP、TG、LDL水平呈正相关(rs=0.58、0.53、0.57、0.54,P<0.05)。ROC曲线结果显示血清中FFA、H-FABP水平及二者联合预测T2DM病人CAP发生的AUC分别为0.71、0.74、0.84,其中联合预测AUC显著高于二者单独预测AUC(Z=3.65、2.68,P<0.05)。结论FFA、H-FABP水平在T2DM合并CAP病人血清中升高,与年龄、CRP、TG、LDL关系密切,均有望成为T2DM病人CAP发生的诊断因子。

时间空间相关成像联合5D Heart智能导航技术用于正常胎儿心脏超声筛查

目的评估时间空间相关成像(STIC)联合5DHeart智能导航技术在正常胎儿心脏超声筛查中的应用价值。方法由医师甲采用常规二维超声和STIC联合5DHeart智能导航技术对114胎正常胎儿进行心脏超声筛查,记录2种检查方法采集图像所用时间,并对相同的9个切面进行评分;1周后,医师甲再次、医师乙首次对STIC联合5DHeart智能导航技术的图像质量进行评分。比较2种检查方法对各切面显示合格率,分析同一医师和不同医师间图像质量评分的一致性。结果2胎因胎动明显无法确定智能导航点位置而被排除。胎儿心脏容积图像和常规二维超声图像的采集时间分别为(94.76±35.21)s和(595.88±139.29)s,差异有统计学意义(P<0.001)。STIC联合5DHeart智能导航技术与常规二维超声对胎儿四腔心、五腔心、右心室流出道、三血管气管、主动脉弓、动脉导管弓切面的显示合格率差异无统计学意义(P均>0.05);STIC联合5DHeart智能导航技术对胃泡水平腹部横切面、左心室流出道切面的显示合格率低于常规二维超声检查(P均<0.05)。不同医师间(除三血管气管和主动脉弓切面)及同一医师不同时间(除主动脉弓切面)对容积数据进行分析后各切面的评分一致性好(Kappa均>0.75)。结论STIC联合5DHeart智能导航技术可缩短检查时间;9个胎儿心脏切面图像质量能够满足胎儿心脏超声筛查需要,用于正常胎儿心脏超声筛查的可行性和可重复性均好。

Plasma brain natriuretic peptide, platelet parameters, and cardiopulmonary function in chronic obstructive pulmonary disease

BACKGROUND Chronic obstructive pulmonary disease(COPD)is a chronic respiratory disease with worldwide occurrence and high disability and mortality rate.It occurs mostly in the elderly population with pulmonary heart disease,type II respiratory failure,and other serious complications.AIM To investigate the correlation of plasma brain natriuretic peptide(BNP)and platelet parameters with cardiac function and pulmonary hypertension in patients with COPD and pulmonary heart disease.METHODS From June 2016 to June 2019,52 patients with COPD-pulmonary heart disease(pulmonary heart disease group),30 patients with COPD(COPD group),and 30 healthy individuals(control group)in our hospital were enrolled in the study.The pulmonary heart disease group was further divided into subgroups according to cardiac function classification and pulmonary artery pressure.Plasma BNP and platelet parameters were estimated and compared among each group and subgroup.The correlation of plasma BNP and platelet parameters with cardiac function classification and pulmonary artery pressure was then analyzed.RESULTS In the pulmonary heart disease group,the COPD group,and the control group,the levels of plasma BNP,platelet distribution width(PDW),and mean platelet volume(MPV)showed a decreasing trend(P<0.05),while an increasing trend was found in platelet count(PLT)and plateletcrit(PCT)levels among the three groups(P<0.05).In the pulmonary hypertension mild,moderate,and severe subgroups,the levels of plasma BNP,PDW,and MPV showed an increasing trend(P<0.05),while a decreasing trend was observed in PLT levels(P<0.05);however,PCT levels showed no significant difference among the three subgroups(P>0.05).In the cardiac function grade I,II,III,and IV subgroups,the levels of plasma BNP,PDW,and MPV showed an increasing trend(P<0.05),while a decreasing trend was noted in PLT and PCT levels among the four subgroups(P<0.05).Correlation analysis showed that the levels of plasma BNP,PDW,and MPV in patients with pulmonary heart disease were positively correlated with their pulmonary artery pressure(P<0.05),while PLT was negatively correlated with their pulmonary artery pressure(P<0.05).Moreover,plasma BNP,PDW,and MPV levels were positively correlated with cardiac function grade(P<0.05)of these patients,while PLT and PCT levels were negatively correlated with their cardiac function grade(P<0.05).CONCLUSION Plasma BNP and PLT parameters are significantly correlated with the cardiac function and pulmonary hypertension in patients with COPD and pulmonary heart disease,indicating that these parameters have high clinical relevance in reflecting the health condition of these patients and for guiding their treatment.

Biomagnetic Validation to Skin Level for Blood Pressure Curves and Venous

An analysis of the reproducibility from signal record bioelectric heart activity is presented. The measurements were carried out with a recently patented medical device, which one is able to record the curves of pressure arterial and venous as those obtained using the gold standard technique in these evaluations, the cardiac catheterization technique. The measurements were carried out 15 health subjects and patients;each one was measured 5 times in order to have auto-correlations and correlations of these records. Analysis indicates correlations from 0.9 to 1 as long as p values were below 0.05. It is indicated an excellent reproducibility of evaluated patients.

肝病终末期模型评分与心力衰竭的相关性及其对心力衰竭预后的预测价值研究

目的探讨肝病终末期模型(MELD)评分与心力衰竭的相关性及其对心力衰竭预后的预测价值。方法收集2020年1月至2021年12月在首都医科大学附属北京安贞医院住院诊治的318例心力衰竭患者的临床资料行回顾性分析。随访1年,根据是否出现心源性再住院或死亡,分为非事件组(189例)和事件组(129例),重点比较以上2组患者的资料差异,分析MELD评分与心力衰竭的相关性和其对心力衰竭患者发生不良事件的预测价值。结果不良事件的发生概率、N末端B型脑钠肽前体(NT-proBNP)水平、左心室舒张末期内径(LVEDD)随着MELD评分升高而增加,而左心室射血分数(LVEF)随MELD评分升高而降低,差异均有统计学意义(均P<0.05)。事件组同型半胱氨酸、NT-proBNP、C反应蛋白水平、LVEDD及MELD评分明显高于/大于非事件组,而白蛋白水平及LVEF明显低于非事件组,差异均有统计学意义(均P<0.05)。MELD评分与NT-proBNP水平及LVEDD有一定的正相关性(r=0.375、0.403),与LVEDD的正相关性强于NT-proBNP,与LVEF有一定的负相关性(r=-0.392)(均P<0.001)。多因素Logistic回归分析结果显示,MELD评分升高是心力衰竭患者发生不良事件相关因素中最强的因素(比值比=6.557,95%置信区间:3.082~26.841,P=0.004)。MELD评分预测心力衰竭患者发生不良事件的截断值为17分,受试者工作特征曲线下面积为0.761,特异度为61.5%,敏感度为80.3%,预测价值优于NT-proBNP及LVEF(曲线下面积分别为0.658、0.682)。结论MELD评分升高是心力衰竭的独立危险因素,其预测心力衰竭预后具有较好的临床价值。

李延从脾胃论治冠心病的临床经验

冠心病为临床中常见的心血管疾病,可归属中医学的“胸痹”“心痛”等疾病范畴。李延教授认为本病之病性总属本虚标实之证,以脾虚、脾胃健运失常为本,标实在于痰浊、血瘀、气滞、寒凝等有形实邪痹阻心脉。治疗时重视调理脾胃,重用黄芪、白术、党参、五味子等健脾养心以治本,结合通阳化浊、活血化瘀、疏肝理气、温阳散寒等治法,标本兼治,通补兼顾,使脾气健旺,心气充沛,瘀去痰消,胸阳得以舒展,则心之血脉恢复畅通,胸痹心痛诸症得到缓解。李延教授从脾胃论治冠心病的经验可为中医临床诊治冠心病提供参考。