Objective To explore the effects on quality of life (QOL), the targeted rates of metabolic parameters and cost-effectiveness in newly diagnosed type 2 diabetic patients who underwent multifactorial intensive intervention. Methods One hundred and twenty seven cases in an intensive intervention and 125 cases in a conventional intervention group were investigated by using the SF-36 questionnaire. The comparison of QOL and the targeted rates of metabolic parameters between the two groups were made. We assessed the influence factors of QOL by stepwise regression analysis and evaluated the efficiency by pharmacoeconomic cost-effectiveness analysis. Results The targeted rates of blood glucose, blood lipid and blood pressure with intensive policies were significantly higher than those with conventional policy (P＜0.05). The intensive group’s role limitations due to physical problems (RP), general health (GH), vitality (VT), role limitation due to emotional problems (RE) and total scores after 6 months intervention were significantly higher than those of baseline (P＜0.05). The vitality scores and health transition (HT) of the intensive group were better than those of the conventional group after 6 months intervention. But the QOL scores of the conventional group were not improved after intervention. The difference of QOL’s total scores after intervention was related to that of HbA1c. The total cost-effectiveness rate of blood glucose, blood lipid, blood pressure control and the total cost-effectiveness rate of QOL with intensive policy were higher than those with the conventional policy. Conclusions Quality of life and the targeted rates of blood glucose, blood lipid and blood pressure in newly diagnosed type 2 diabetic patients with multifactorial intensive intervention policy are better and more economic than those with conventional policy.
Objective To explore the effect of vitamin E (VE) on subclinical atherosclerosis (AS) in patients with newly diagnosed type 2 diabetes mellitus. Methods Eighty-five newly diagnosed type 2 diabetic patients without AS were divided into two groups [VE group (n =43) and control group (n =42)] according to the random numeration table. All the patients received comprehensive intervention including the control of blood glucose, blood pressure, blood lipid and body weight and anti-platelet drugs. VE capsule (200 mg/d) was added to VE group (n =41) to evaluate its effects on the incidence of subclinical AS after one year intervention. Results Three patients withdrew during one year follow up. No significant differences of age, sex, baseline body mass index, waist to hip ratio, blood lipid, blood pressure, 24 h urinary albuminuria, insulin resistance index, high sensitive C-reactive protein level, intima-medial thickness (IMT) of common carotid artery, femoral artery and common iliac artery were found between VE group and control group (Pgt;0.05). The decrease of IMT of common carotid artery in VE group after one year intervention was more significant than that in control group (Plt;0.05), whereas the other metabolic parameters mentioned above showed no significant differences between the two groups (Pgt;0.05). The incidence of subclinical AS was significantly higher in VE group(26.8%, 11/41) than that in control group (7.3%, 3/41) (Plt;0.05). Conclusions One year VE supplementation with multifactorial intervention has no beneficial effect on subclinical AS in newly diagnosed type 2 diabetic patients.
Breathing pattern parameters refer to the characteristic pattern parameters of respiratory movements, including the breathing amplitude and cycle, chest and abdomen contribution, coordination, etc. It is of great importance to analyze the breathing pattern parameters quantificationally when exploring the pathophysiological variations of breathing and providing instructions on pulmonary rehabilitation training. Our study provided detailed method to quantify breathing pattern parameters including respiratory rate, inspiratory time, expiratory time, inspiratory time proportion, tidal volume, chest respiratory contribution ratio, thoracoabdominal phase difference and peak inspiratory flow. We also brought in “respiratory signal quality index” to deal with the quality evaluation and quantification analysis of long-term thoracic-abdominal respiratory movement signal recorded, and proposed the way of analyzing the variance of breathing pattern parameters. On this basis, we collected chest and abdomen respiratory movement signals in 23 chronic obstructive pulmonary disease (COPD) patients and 22 normal pulmonary function subjects under spontaneous state in a 15 minute-interval using portable cardio-pulmonary monitoring system. We then quantified subjects’ breathing pattern parameters and variability. The results showed great difference between the COPD patients and the controls in terms of respiratory rate, inspiratory time, expiratory time, thoracoabdominal phase difference and peak inspiratory flow. COPD patients also showed greater variance of breathing pattern parameters than the controls, and unsynchronized thoracic-abdominal movements were even observed among several patients. Therefore, the quantification and analyzing method of breathing pattern parameters based on the portable cardiopulmonary parameters monitoring system might assist the diagnosis and assessment of respiratory system diseases and hopefully provide new parameters and indexes for monitoring the physical status of patients with cardiopulmonary disease.