Analysis of Application Significance of Holistic Nursing in Nursing of Chronic Pulmonary Heart Disease Complicated with Heart Failure

2021 ◽  
2019 ◽  
Vol 70 (1) ◽  
pp. 63-68 ◽  
Author(s):  
Venera Cristina Dinescu ◽  
Ileana Puiu ◽  
Sorin Nicolae Dinescu ◽  
Diana Rodica Tudorascu ◽  
Elena Catalina Bica ◽  
...  

The aim of this study was to identify correlations between electrocardiographic and echocardiographic changes in patients with silicosis prior to the occurrence of chronic pulmonary heart disease. We conducted a prospective, descriptive, analytical study, in which we included a group of 67 patients consecutively admitted to the Health Promotion and Occupational Medicine Clinic between December 2016 and January 2018, aged 47 to 78 years.There was a biochemical and electrocardiographic evaluation for each patient as well as a right ventricle echocardiographic evaluation (diameters, volumes, function). A control group, including 25 patients with benign minor diseases that required a cardiologist consultation, was also used. From the electrocardiographic point of view, slight changes were observed regarding the waves of electrical activity of the right ventricle. Taking into account the degree of ventilatory dysfunction (depending on FEV1), changes in right heart echocardiographic parameters were identified. Thus, in what the most important right ventricular parameters, including the tricuspid annular plane systolic excursion (TAPSE) or the RV index of myocardial performance (RVMPI) were concerned, values at the upper limit of normality were recorded in most patients with moderate and severe ventilatory dysfunction. Values of echocardiographic parameters of the right heart at the upper limit of normality, correlated with the degree of ventilatory dysfunction, are early markers for cardiovascular damage in patients with pulmonary silicosis prior to the occurrence of chronic pulmonary heart disease also known ascor pulmonale.


Heart ◽  
1972 ◽  
Vol 34 (7) ◽  
pp. 653-657 ◽  
Author(s):  
A J Thomas

2011 ◽  
Vol 186 ◽  
pp. 469-473 ◽  
Author(s):  
Jin Liang Hu ◽  
Cai Qing Yue ◽  
Jian Sheng Li ◽  
Jian Jing Shen

To explore the essential characteristic of TCM syndromes for Chronic pulmonary heart disease (CPHD) The CPHD subjects were recruited from four TCM hospitalsrespirations department by means of clinical epidemiological method.The research dates were inputted with Epidata ver.3.1 and analyzed with dynamic Kohonen Network and Decision Tree adopted to analysis the common syndrome for CPHD. There were six common rules before rules transformed and main symptom and minor symptom for common syndrome setted. The diagnostic accuracy rate was72.2% The data mining technology could been used into the TCM syndrome characteristic research.


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