The presence of OH is associated with a significantly increased risk of all-cause mortality, which may partially be mediated by classic risk factors. Further research is needed to determine whether the association between OH and mortality risk is causal.

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Allopurinol therapy is associated with significantly improved endothelial function in subjects at risk of CVD risks, and the beneficial effects of allopurinol seemed to be more remarkable in patients with normal UA at baseline.

The role of B-type natriuretic peptide (BNP) in the management of patients with chronic heart failure (CHF) was uncertain. The aim of this meta-analysis was to comprehensively evaluate the effect of BNP-guided therapy in CHF. Relevant randomized controlled trials were identified by searching of Pubmed, Embase and the Cochrane Library databases. Fixed or randomized effect models were applied to combine the data according to the heterogeneity of the included studies. Fourteen studies with 3,004 CHF patients were included. Results of our meta-analyses suggested that compared with clinical group, BNP-guided treatment significantly decreased the risk of heart failure-related hospitalization (RR 0.79, 95 % CI 0.63-0.98, p = 0.03), although did not significantly affect the risk of all-cause mortality (RR 0.94, 95 % CI 0.81-1.08, p = 0.39) or all-cause hospitalization (RR 0.97, 95 % CI 0.89-1.07, p = 0.56). Furthermore, between-group BNP changes seemed to be a significant modifier to the effects of BNP-guided therapy on clinical outcomes, and BNP-guided therapy may improve the clinical outcomes of CHF patients if substantial reduction of BNP can be achieved. In addition, BNP-guided therapy was not associated with increased risk for serious adverse events. BNP-guided therapy may improve the clinical outcomes of CHF patients if substantial reduction of BNP can be achieved. BNP-guided therapy seemed to be safe and promising for CHF patients, and future studies with well-designed BNP-guided medication up-titration strategies are needed to confirm these results.

BackgroundOrthostatic hypotension (OH) has been related to the increased risk of future congestive heart failure (CHF) events. However, the overall quantitative estimate of predictive ability of OH for CHF has not been determined. We therefore performed a meta-analysis to investigate the association between OH and incident CHF.MethodsProspective cohort studies relevant to the aim of the study were identified by searching of Medline and Embase databases up to December 25, 2012 without restrictions and by reviewing the reference lists from retrieved articles.ResultsA total of 51270 subjects and 3603 incident CHF cases from 4 prospective cohorts were included in the meta-analysis. Using random effect model, the pooled result indicated that presence of OH at baseline was significantly associated with an increased risk for future CHF outcomes (adjusted hazard ratio: 1.30, 95% confidence interval 1.09–1.55; p = 0.004). Results of stratified analysis suggested that the association between OH and CHF incidence seemed to be significant in middle-age subjects, or the individuals with hypertension and diabetes at baseline, but did not significant in the elderly subjects or those without hypertension or diabetes.ConclusionsOur meta-analysis confirmed that presence of OH is related to a significant increased risk for development of CHF in the future. Studies are needed to explore the potential mechanisms underlying this association. More importantly, screen for OH may be of great clinical significance for the early identification of subjects at higher risk for development of CHF.

AimsLiver hepatocellular carcinoma (LIHC) is the main manifestation of primary liver cancer, with low survival rate and poor prognosis. Medical decision-making process of LIHC is so complex that new biomarkers for diagnosis and prognosis have yet to be explored, this study aimed to identify the genes involved in the pathophysiology of LIHC and biomarkers that can be used to predict the prognosis of LIHC.MethodsSix Gene Expression Omnibus (GEO) datasets selected from GEO were screened and integrated to find out the differential expression genes (DEGs) obtained from LIHC and normal hepatic tissues. The Gene Ontology and Kyoto Encyclopaedia of Genes and Genomes pathway enrichment analysis of DEGs was implemented by DAVID. The Protein–protein interaction network was performed via STRING. In addition, Cox regression model was used to construct a gene prognostic signature.ResultsWe ascertained 10 hub genes, nine of them (CDK1, CDC20, CCNB1, Thymidylate synthetase, Nuclear division cycle80, NUF2, MAD2L1, CCNA2 and BIRC5) as biomarkers of progression in LIHC patients. We also build a six gene prognosis signature (SOCS2, GAS2L3, NLRP5, TAF3, UTP11 and GAGE2A), which can be implemented to predict over survival effectively.ConclusionsWe revealed promising genes that may participate in the pathophysiology of LIHC, and found available biomarkers for LIHC prognosis prediction, which were significant for researchers to further understand the molecular basis of LIHC and direct the synthesis medicine of LIHC.