1.Electronically aided rehabilitation exercise to improve the cardiac function of patients with chronic hear failure
Hongyu ZHU ; Anxiang HU ; Chuanji ZHOU ; Jinguo HAN ; Wei HU ; Fuzhong SI ; Guoliang YANG
Chinese Journal of Physical Medicine and Rehabilitation 2010;32(11):849-852
Objective To study the effect of assistive functional rehabilitation exercise on cardiac functioning of patients with chronic heart failure (CHF). Methods Sixty CHF patients were divided randomly into a treatment group (the rehabilitation group) and a control group, with 30 in each group. All the patients were administered routine therapy. In the treatment group, the patients were administered rehabilitation exercises with the assistance of a electric equipment made by the authors, daily for 5 days a week for a total of 3 months. The New York Heart Association (NYHA) cardiac function grading, the left ventricular ejection fraction(LVEF), the left ventricular end diastolic diameter (LVEDD) and the brain natriuretic peptide (BNP) level in plasma as well as the 6 min walking range were observed in both groups before and after treatment. Results After 3-months of treatment, the NYHA grading, LVEF, LVEDD, BNP level in plasma and 6 min walking range were all significantly improved in both groups when compared with those before the treatment, with the treatment group improved to a significantly larger extent than the control group ( p<0.05 ). Conclusion Assistive rehabilitation exercise in addition to the routine therapy can significantly help improve the cardiac function in CHF patients.
2.Advanced progress on the effect and mechanism of tetrandrine
Jing YANG ; Anxiang ZHU ; Jun HU ; Junwei WU ; Yangmei ZENG
International Journal of Traditional Chinese Medicine 2018;40(3):286-289
Tetrandrine(TET), bis-benzylisoquinoline alkaloid, belonging to the traditional Chinese medicine, has attented great attention by researchers in the phamalogical and medical industries. It was found that tetrandrine had effect of anti-tumor, anti-microbial, reversal of multi-drug resistance, anti-inflammatory and anti-diabetic. This article reviewed the research on the biological activity through inhibition of protein expression and signal pathway regulation of tetrandrine, and summarized the problem and solution of tetrandrine in order to provide the basis for the further studies.
3.Predictive value of anthropometric indicators for cardiovascular risk in metabolic syndrome
Qiyun LU ; Anxiang LI ; Benjian CHEN ; Qingshun LIANG ; Guanjie FAN ; Yiming TAO ; Ronghua ZHANG ; Fangfang DAI ; Xiaoling HU ; Yunwei LIU ; Yingxiao HE ; Ying ZHU ; Zhenjie LIU
Chinese Journal of Endocrinology and Metabolism 2023;39(1):26-33
Objective:To evaluate the predictive value of anthropometric indicators in predicting cardiovascular risk in the population with metabolic syndrome(MS).Methods:A cross-sectional study was used to analyze the correlation between anthropometric measures and cardiovascular risk in subjects with MS. Cardiometabolic risk was assessed with cardiometabolic risk index(CMRI). Receiver operating characteristic(ROC) curve analysis was used to assess the predictive power of anthropometric measures for cardiometabolic risk.Results:(1) The anthropometric measures [body mass index(BMI), waist-hip ratio(WHR), waist-to-height ratio(WtHR), body fat percentage(BFP), visceral fat index(VFI), conicity index(CI), a body shape index(ABSI), body roundness index(BRI), abdominal volume index(AVI)] in the MS group were significantly higher than those in the non-MS group( P<0.05). Moreover, there were significant differences in CMRI score and vascular risk between the two groups( P<0.05). (2) Logistic regression analysis showed that the cardiovascular risk was increased with the increases of BMI, VFI, WHR, WtHR, CI, BRI, and AVI after adjusting for confounding factors in the overall population, the non-MS population, and the MS population( P<0.05). (3) In the ROC analysis, the AUC values of BMI, VFI, and AVI were 0.767, 0.734, and 0.770 in the overall population; 0.844, 0.816, and 0.795 in the non-MS population; 0.701, 0.666, and 0.702 in the MS population, respectively. For the overall population and non-MS population, the optimal cut points of BMI to diagnose high cardiovascular risk were 26.04 kg/m 2 and 24.36 kg/m 2; the optimal cut points of VFI were 10.25 and 9.75; the optimal cut points of AVI were 17.3 cm 2 and 15.53 cm 2, respectively. In the MS population, the optimal cut point as a predictor of high cardiovascular risk in young and middle-aged men with MS was 27.63 kg/m 2, and the optimal cut point of AVI in women was 18.08 cm 2. Conclusion:BMI, VFI, and AVI can be used as predictors of cardiovascular risk in the general population. BMI can be used as a predicator of high cardiovascular risk in young and middle-age men with MS. AVI can be used as a predicator of high cardiovascular risk in women with MS.