ObjectiveTo explore the risk factors of perioperative deep vein thrombosis (DVT) in patients with traumatic fracture after orthopaedic surgery and their potential diagnostic values in clinical.DesignRetrospective cohort study.SettingClinical Laboratory of Honghui Hospital, Xi’an JiaoTong University College of Medicine, Xi’an, Shaanxi, China.Materials and methodsA retrospective cohort study was conducted with surgically treated fracture patients in Honghui Hospital from 1 May 2016 to 31 February 2017.χ2test, independent sample t test and regression analysis were applied to examine the correlation between perioperative DVT and the factors of preoperative time, fracture sites, D-dimer value and chronic diseases (hypertension, diabetes and coronary disease).Results462 patients were enrolled for analysis. The preoperative time of patients with DVT was significantly longer than that of non-DVT patients (7.14±5.51 vs 5.45±3.75) (P<0.01).χ2test showed the significant differences in the rate of DVT among patients with different fracture sites (P<0.01). By the receiver-operating characteristic curve analysis, the cut-off value of preoperative D-dimer and postoperative D-dimer in diagnosing perioperative DVT was 4.01 µg/mL and 5.03 µg/mL, respectively. Area under the curve was 0.593 (95% CI 0.533 to 0.652) and 0.728 (95% CI 0.672 to 0.780), respectively. The sensitivity and specificity of preoperative D-dimer for DVT diagnosis were 71.30% and 44.83%, and as for postoperative D-dimer were 63.90% and 70.51%.ConclusionsFracture site was correlated to the incidence of DVT; prolonged preoperative time and increased D-dimer value were independent risk factors for DVT in patients with lower extremity traumatic fractures.

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MicroRNAs (miRNAs) are single-stranded RNA molecules that control gene expression in various processes, such as cancers, Alzheimer's disease, and bone metabolic diseases. However, the regulatory roles of miRNAs in osteoporosis have not been systematically analyzed. Here, we performed a comprehensive analysis to identify the differentially expressed miRNAs involved in osteoporosis. MiRNAs associated with osteoporosis were collected through literature retrieval and further screened based on specific inclusion and exclusion criteria. The osteoporosis therapeutic targets of miRNAs were obtained by the integration of miRWalk 3.0 database and five human disease therapeutic target databases. Then, the network analysis and functional enrichment analysis of miRNAs and their targets were performed. As a result, 11 eligible miRNAs were identified highly associated with osteoporosis. MiRNA-mRNA network demonstrated there were the complex mutual interactions between miRNAs and their targets. Besides, ADRB2, AR, ESR1, FGFR1, TRAF6, etc., were identified as the top hub genes in protein-protein interaction (PPI) network. Functional enrichment analysis revealed that miRNAs and their targets were mainly mapped on processes associated with bone and immune system, such as bone remolding, bone mineralization, PI3K/AKt, TNF signaling pathways and Th17 cell differentiation. RT-PCR results showed that the expression of miR-335-3p was significantly down-regulated in hind limb unloading (HLU) mice tibia samples compared with controls, the remaining 10 miRNAs were significantly up-regulated after HLU (P < 0.01). In summary, we identified 11 differentially expressed miRNAs and their hub target genes in osteoporosis, which may be novel diagnostic biomarkers for osteoporosis.

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