This article introduces two methods used to calculate effect indicators and their standard errors with non-comparative binary data. Then we give an example, the effect indicators and standard errors are calculated using both methods, and meta-analysis with the outcomes is conducted using RevMan software. At last the calculated results are compared with the results of meta-analysis conducted using Stata software with original data based on cases. The results of meta-analysis performed in RevMan software and Stata software are consistent in calculating non-comparative binary data.
ObjectiveTo systematically review the independent physical risk factors associated with diabetic kidney disease (DKD) in patients with type 2 diabetes mellitus. MethodsWe searched MEDLINE, EMbase, CBM, CNKI and VIP for all studies about the independent physical risk factors associated with diabetic kidney disease (DKD) in patients with type 2 diabetes mellitus up to December 2012. Two reviewers independently screened studies according to the inclusion and exclusion criteria, extracted data, and assessed the methodological quality of included studies. Then meta-analysis was conducted using RevMan 5.2 software. ResultsA total of 11 studies involving 12 957 patients with type 2 diabetes were included. Of these 11 studies, 9 were cross-sectional studies, two were cohort studies, and one was case-control study. The results showed that:the main physical factors associated with DKD were:duration of diabetes (OR=1.11, 95%CI 1.05 to 1.18), waist circumference (OR=1.02, 95%CI 1.00 to 1.04), fasting glucose (OR=1.11, 95%CI 1.07 to 1.16), glycosylated hemoglobin (OR=1.20, 95%CI 1.06 to 1.36), systolic blood pressure (OR=1.03, 95%CI 1.02 to 1.05), diastolic blood pressure (OR=2.41, 95%CI 1.15 to 4.64), triglycerides (OR=1.24, 95%CI 1.02 to 1.51), high-density lipoprotein (OR=0.558, 95%CI 0.369 to 0.844), blood uric acid (OR=1.005, 95%CI 1.002 to 1.009), blood urea nitrogen (OR=1.58, 95%CI 1.37 to 1.82), past history of kidney disease (OR=3.26, 95%CI 1.20 to 8.87) and family history of kidney disease (OR=1.83, 95%CI 1.29 to 2.60). ConclusionCurrent evidence shows that multiple physical factors were associated with the development of type 2 diabetic kidney disease. However, due to the limited quantity and quality of the included studies, more high quality studies are needed to verify the conclusion.
ObjectiveTo evaluate the reasonableness of anticoagulation management strategy in patients after mechanical heart valve replacement. MethodsAll patients were followed and registered continually at outpatient clinic from July 2011 to February 2013, with a minimum of 6 months after surgery. Targeted international normalized rate (INR) 1.60 to 2.20 and warfarin weekly dosage adjustment were used as the strategy of anticoagulation management. Except bleeding, thrombogenesis and thromboembolism, time in therapeutic range (TTR) and fraction of TTR (FTTR) were adopted to evaluate the quality of anticoagulation management. ResultsA total 1 442 patients and 6 461 INR values were included for data analysis. The patients had a mean age of 48.2±10.6 years (14-80 years) and the following up time were 6 to 180 months (39.2±37.4 months) after surgery. Of these patients, 1 043 (72.3%) was female and 399 (27.7%) was male. INR values varied from 0.90-8.39 (1.85±0.49) and required weekly doses of warfarin were 2.50-61.25 (20.89±6.93 mg). TTR of target INR and acceptable INR were 51.1% (156 640.5 days/306 415.0 days), 64.9% (198 856.0 days/306 415.0 days), respectively. FTTR of target INR and acceptable INR were 49.4% (3 193 times/6 461 times), 62.6% (4 047 times/6 461 times). There were 8 major bleeding events, 7 mild bleeding events, 2 thromboembolism events, and 2 thrombogenesis in the left atrium. ConclusionIt is reasonable to use target INR 1.60-2.20 and warfarin weekly dosage adjustment for patients after mechanical heart valve replacement.
Objective To evaluate the right ventricular function of the patients 2 years after surgery by ultrasonic cardiography (UCG) who underwent mitral valve replacement (MVR) concomitant tricuspid annuloplasty (TAP). Method We finally identified 36 patients required MVR with tricuspid valve annular dilation concomitant merely mild tricuspid regurgitaion (TR) based on preoperative UCG in our hospital between April and November 2012 year. All patients were randomly divided into two groups by digital table including a tricuspid annuloplasty group (a TAP group, n=18, 7 males and 11 females at age of 45.67±12.49 years) and a no-tricuspid annuloplasty group (a NTAP group, n=18, 6 males and 12 females at age of 45.44±10.48 years). General clinical data and extracorporeal circulation data were recorded. UCG evaluation was practiced preoperation, alone with 1 week, 6 months, and 2 years after surgery. Results Two years postoperative maximal long-axis of RA (RAmla), mid-RA minor distance (RAmmd), right ventricle dimension-1(RVD1) , right ventricular fractional area change (RVFAC), 3D RV end-systolic volume (3DRVESV), tricuspid valve annular end-diastolic dimension (TVAEDD), tricuspid valve annular end-systolic dimension (TVAESD) of patients were all smaller in the TAP group than those in the NTAP group. Yet right ventricular ejection fraction (RVEF), percent shorting of tricuspid valve annulus (PSTVA) were greater in the TAP group than those in the NTAP group, although there was no statistical difference between the two groups in two years postoperative 3D RV end-diastolic volume (3DRVEDV). The patients in the TAP group had a superior trend than that of the NTAP group. Moreover, the patients' TR constituent ratio in the TAP group was much better than that of the NTAP group in 2 year after operation. Conclusions Concomitant tricuspid annuloplasty for patients with tricuspid valve annulus dilation and mild TR underwent MVR is favorable for the recovery of their 2 years postoperative function of tricuspid valve and right ventricle. It is benefit to reduce patient's long term postoperative TR residues and exacerbation.