Covariates with p smaller than

0 01 and an AUROC of 0 6

Covariates with p smaller than

0.01 and an AUROC of 0.6 of greater or with strong previous evidence were included in the subsequent multivariate logistic regression analyses. Manual backward selection was then used to identify the most parsimonious RAM with a similar AUROC (overlapping 95% CI). Similar analyses were performed for penetrating and severely injured patient subsets. All models were validated using DMXAA NTDB 2010. RESULTS A total of 630,307 patients from NTDB 2009 were analyzed. A total of 16 of 106 NTDB covariates tested on univariate analyses were selected for inclusion in the initial multivariate model. The best RAM included only six covariates (age, hypotension, pulse, total Glasgow Coma Scale [GCS] score, Injury Severity Score [ISS], and a need for ventilator use) yet still demonstrated excellent discrimination between survivors and nonsurvivors (AUROC, 0.9578; 95% CI, 0.9565-0.9590). In addition, this model was validated on 665,138 patients included in NTDB 2010 (AUROC, 0.9577; 95% CI, 0.9564-0.9589). Similar results were obtained for the subset analyses. CONCLUSION This quantitative synthesis proposes a framework and a set of covariates for studying trauma mortality outcomes. Such analytic standardization may prove critical in implementing best practices

aimed at improving the quality and consistency of NTDB-based research. LEVEL OF EVIDENCE Prognostic study, level III.”
“CD44 is one member of a big glycoprotein family involved in adhesion of cells or cells and extracellular

matrix (ECM). The heavily glycosylated CD44 has been proved to be a major receptor of hyaluronan and a marker of stem cells in ovarian cancer. Here, using short hairpin (shRNA) against CD44, we demonstrate that knockdown CD44 could inhibit cancer growth efficiently compared with controls. Plasmid targeting CD44 gene (pshCD44) or non-relative control sequences (pshHK) was constructed and delivered to MG-132 inhibitor ovarian cancer by biodegradable poly D, L-Lactide-co-glycolide acid nanoparticles (PLGANPs). Nude mice were utilized in an intraperitoneal model of ovarian carcinomatosis to assess antitumor efficacy in vivo. Antitumor efficacy was estimated by changes in tumor weights, proliferation (Ki-67), apoptosis (TUNEL) and angiogenesis (CD31 staining and alginate-encapsulated tumor beads assay) in tumor cells. As results, pshCD44 or pshHK could be effectively transfected into SKOV-3 cells by PLGANPs. Tumor weight in pshCD44/PLGANPs group was suppressed by 45% and 50% compared with those in pshHK/PLGANPs and untreated group, respectively (Ps smaller than 0.001). Inhibition of cell proliferation, induction of apoptosis and reduction of angiogenesis in tumor cells of pshCD44/PLGANPs group also show significant difference compared with those in control groups (Ps smaller than 0.05), respectively.

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