The value of lipid accumulation products in predicting type 2 diabetes mellitus: a cross-sectional study on elderlies over 65 in Shanghai.

Purpose: As lifestyle changes, there is an increasing number of type 2 diabetes mellitus (T2DM) patients in China. The present study aimed to investigate the predictive value of the lipid accumulation product (LAP) for T2DM in Chinese elderlies over 65 years. Methods: The present cross-sectional study recruited 2,092 adults from communities of Pudong New Area of Shanghai. Questionnaires were filled and anthropometric and laboratory examinations were completed by all participants. The predictive value of different risk factors for T2DM was analyzed using the receiver operating characteristics curve (ROC). Results: LAP was found to be closely related to T2DM (adjusted OR: 0.613, 95% CI: 0.581-0.645). Fasting plasma glucose (FPG), LAP, and urea nigrogen (UN) were associated with T2DM in females, whereas FPG, LAP, neck circumference (NC) were associated with T2DM in males. When the cut-off value was 33.8, LAP displayed the optimal predictive performance. A gender difference was observed with an LAP of 37.95 demonstrating the best predictive value in males (AUC = 0.604, 95% CI: 0.577-0.652) and 60.2 in females (AUC = 0.617, 95% CI: 0.574-0.660), respectively. Conclusion: LAP is more significantly associated with the risk of T2DM in elderlies than FPG, UN or NC, and it serves as a strong predictor of T2DM. However, this is impacted by FPG and neck circumference to a certain extent. Future large-scale studies are needed to confirm its efficacy in predicting diabetes.

Diagnostic and Predictive Values of LAP in Hypertension: A Cross-Sectional Study in Chinese Population Older Than 65 Years.

This study aimed to investigate the predictive value of lipid accumulation product (LAP) in hypertension in Chinese population older than 65 years. A total of 2092 adults from the communities in Pudong New Area of Shanghai were included in this cross-sectional study. The participants filled in questionnaire and received anthropometric and laboratory examinations. The receiver operating characteristics curve (ROC) was used to analyze the predictive value of different risk factors in hypertension. Results showed that LAP was closely related to hypertension (adjusted OR: 1.011, 95% CI: 1.007-1.015). In females, LAP, fasting blood glucose (FPG), and body mass index (BMI) were associated with hypertension; in males, triglycerides (TG) and waist circumference (WC) were related to hypertension. LAP (AUC = 0.655, 95% CI: 0.632-0.679) was better than neck circumference (NC) and BMI in predicting hypertension. When the cutoff value was 33.5, LAP had the best predictive performance. In males, LAP at 36.72 and 56.76 had the best predictive performance in males (AUC = 0.663, 95% CI: 0.629-0.697) and females (AUC = 0.650, 95% CI: 0.618-0.682), respectively. In conclusion, LAP is a risk factor of hypertension in the elderly. For hypertension, BMI, FPG, and LAP have favorable predictive performance in females, and WC and TG have better predictive performance in males.

Genetic association between bone mineral density and the fracture of distal radius: A case-control study.

ABSTRACT: Low bone mineral density (BMD) was significantly related to the fracture of distal radius. Serum brain-derived neurotrophic factor (BDNF) level was closely related to BMD in spine and osteoporotic fractures. In this study, we aimed to explore the association of BDNF polymorphisms (rs6265 and rs7124442) with BMD and the fracture of distal radius.This retrospective study included 152 patients with distal radius fractures and 148 healthy controls. BDNF polymorphisms were detected via TaqMan allelic discrimination assay. BMD was evaluated through X-ray. Difference in features between cases and controls were compared adopting Chi-square test or t test. The associations of BDNF polymorphisms with fracture risk of distal radius and BMD were assessed employing χ2 test and expressed by odd ratios (ORs) with 95% confidence intervals (95% CIs).BMD was significantly decreased in patients with the fracture of distal radius than in healthy controls. The polymorphism rs6265 significantly increased the risk of distal radius fracture (adjustment: GA: OR = 1.724, 95%CI = 1.003 -2.951, P = .049; GG: OR = 2.415, 95%CI = 1.0219 -3.674, P = .005). Moreover, rs6265 genotypes GA (OR = 4.326, 95%CI = 1.725 -11.896, P = .003) and GG (OR = 13.285, 95%CI = 3.659 -51.072, P = .001) significantly increased BMD reduction. However, BDNF polymorphism rs7124442 had no obvious correlation with BMD or fracture risk.BMD was associated with BDNF rs6265 polymorphism. BDNF polymorphism rs6265 could elevate the risk of osteoporosis and distal radius fracture.

Secondary prevention of major cerebrovascular events with seven different statins: a multi-treatment meta-analysis.

BACKGROUND: Statins have been recommended for the use in atherosclerotic cardiovascular diseases, but different statins have distinct pharmacological characteristics. This multi-treatment meta-analysis aimed to evaluate the efficacy of seven statins in the secondary prevention of major cerebrovascular events (CVEs). METHODS AND ANALYSES: The PubMed, Embase, Cochrane Database of Systematic Reviews and Cochrane Central Register of Controlled Trials were searched to identify studies published between January 1, 2011, and June 30, 2016. The included randomized controlled trials investigated the efficacy of lovastatin, atorvastatin, fluvastatin, simvastatin, pitavastatin, pravastatin or rosuvastatin in the secondary prevention of CVEs. The primary outcomes were CVEs; the secondary outcomes were all-cause death, fatal stroke and nonfatal stroke. Meta-analysis and network meta-analysis were used for data synthesis. RESULTS: A total of 42 studies with 82,601 patients were included for analysis. In the secondary prevention of cardiovascular diseases, the major CVEs in pravastatin (risk ratio [RR] 0.87, 0.76-0.99)- and atorvastatin (RR 0.59, 0.49-0.72)-treated patients reduced significantly compared with controls. Indirect comparisons with network meta-analysis showed that RR was 0.60 (0.40-0.92) for atorvastatin compared with rosuvastatin. Compared to controls, the all-cause death was reduced by 12% in statins-treated patients (RR 0.88, 0.81-0.96). Indirect comparisons with network analysis showed a significant difference in the nonfatal stroke between fluvastatin-treated patients and lovastatin-treated patients (RR 0.28, 0.07-0.95). CONCLUSION: Different statins have distinct pharmacological characteristics, and there are differences in statistical and clinical outcomes among several statins.