Zhao Huihui

ASSA13-13-5 Investigation of Clinical Features and Treatments of Chronic Heart Failure Patients in 17 Chinese Medicine Hospitals in China

Objective To investigate the clinical features and treatments of Chronic Heart Failure (CHF) patients in 17 three-level class A Chinese medicine (CM) hospitals in China. Methods The case-observed table was designed and used in this research, and 1088 patients were admitted to the cardiovascular department in above hospitals. Inducements, Fundamental causes, levels of cardiac function, combined diseases, and types of syndrome were observed in CHF patients. Treatments by Western medicine (WM), traditional Chinese medicine (TCM) therapy and Chinese patent medicine were also observed. Results The average age of patients was (66.99 ± 10.33) years, and 622 patients (57.17%) were males. Coronary heart disease (924 cases, 84.93%), hypertensive heart disease (381 cases, 35.02%) and dilated cardiomyopathy (73 cases, 6.71%) were the fundamental causes. There were 15 patients (1.38%) with New York Heart Association (NYHA) class IHF, 279 (25.64%) with NYHA class II HF, 634 (58.27%) with NYHA III HF, 150 (13.79%) with IV HF, and 10 (0.92%) without the valid information of heart function. Overtired (491 cases, 55.42%), cardiopathy exacerbation (243 cases, 27.43%), infection (204 cases, 23.02%), no obvious precipitating factor (192 cases, 21.67%) and emotional fluctuation (191 cases, 21.56%) are the main inactive of CHF. Arrhythmia (242 cases, 22.24%), type 2 diabetes mellitus (226 cases, 20.77%), cerebrovascular disease (108 cases, 9.93%) and dyslipidemia (97 cases, 8.92%) were the main combined diseases. The top 5 western drugs were ACEI/ARB (550 cases, 50.55%), aspirin (524 cases, 48.16%), β-blocker (485 cases, 44.58%), diuretic (433 cases, 39.80%) and nitrates (353 cases, 32.44%). Qi deficiency (887cases, 81.53%), blood stasis (832 cases, 76.47%), fluid-retention (339 cases, 31.16%) and yin deficiency (294 cases, 27.02%) were dominated in CHF syndrome factors. Totally 256 patients (23.53%) were treated with Chinese patent medicine. Conclusions The normalised treatments of WM in CM hospitals were similar in WM hospitals. Qi deficiency, blood stasis, fluid-retention and yin deficiency were the main syndrome factors of CHF patients in CM hospitals. Besides the treatments according to syndrome differentiation, doctors in CM hospitals should improve the normalised WM treatment of CHF.

NEW CANDIDATE BIOMARKER FOUND IN UNSTABLE ANGINA PATIENTS BY LC-MS/MS

Objectives Coronary heart disease (CHD) is the leading cause of death of adults worldwide, but the traditional related factors cannot explain the whole situations. Unstable angina is the main type of CHD. Proteomics research on unstable angina patients may make a breakthrough to the research of syndrome. The aim of this study is investigating the difference of plasma proteins expression profile and characteristics of unstable angina patients and healthy volunteers, deepen and extended our knowledge about unstable angina. Methods A polyclonal antibody affinity column (Agilent) were used to remove the six most abundant proteins (ie, albumin, IgG, IgA, antitrypsin, transferrin, haptoglobin) from the plasma of unstable angina patients EDTA samples. Then NanoAcquity UPLC and Synapt HDMS were used on each plasma sample. After that, the data generated were processed using ProteinLynx Global Server V2.2.5. Processed data were sent to databank search using human sequences of IPI. For further analysis and filtering, data were exported to the Expression analysis (Waters). Filtering criteria were set to include only high confidence peptides. Results ITIH3 were only found in unstable angina patients,while eight proteins(Including SAM, ATAD5, BZRAP1, GFM1, POLQ DNA polymerase theta, UTX, other two of them are uncharacterised) were only found in the healthy volunteers. SAA, CP, MYH11, C6 expressions in unstable angina patients increased over 1.5 fold than that in healthy volunteers, while eight proteins (APOA-IV, GSN, HBB, TF, etc) expressions decreased over 1.5 fold in unstable angina patients. Conclusions Energy metabolism disorder and blood coagulation factor activity dysfunction influence each other, which is probably the proteomics characteristic of unstable angina patients. The research revealed part of biological foundation of unstable angina, discovered some possible key enzymes and signal pass way of unstable angina, and found the potential network regulatory mechanism of unstable angina .Some of the differentially expressed plasma proteins may become new biomarkers of unstable angina or unstable angina with blood stasis syndrome.