Objective To explore the effect of diabetes mellitus (DM) on implant osseointegration of titanium screws. Methods Sixty rats were randomly divided into a DM group and a control group (each group, n = 30). DM group rats were injected with 1% Streptozotocin solution at 65 mg/kg to establish a DM model. Titanium screws were implanted into the rats' distal femurs in both groups. The rats were sacrificed for micro‐CT scanning, micro‐indentation, biomechanical detection, confocal Raman microspectroscopy, and histological and histomorphometric analysis at 4, 8, and 12 weeks post‐implantation, respectively. Messenger RNA (mRNA) expression and protein expression of the related growth factors around the implant were analyzed using real‐time polymerase chain reaction and Western blots. Results At 4, 8 and 12 weeks, micro‐CT scanning, hematoxylin‐eosin (HE) staining, Gieson's acid‐magenta staining, and fluorescent labeled staining showed disorder in the bone tissue arrangement, a lack of new bone tissue, poor maturity and continuity, and poor trabecular bone parameters around the implant in the DM group. At 4, 8, and 12 weeks, the interfacial bone binding rate in the DM group was significantly lower (16.2% ± 4.8%, 25.7% ± 5.7%, 42.5% ± 5.8%, respectively) than that in the control group (23.6% ± 5.2%, 40.8% ± 6.3%, 64.2% ± 7.3%, respectively; P < 0.05). At 8 and 12 weeks, the elastic modulus (17.0 ± 1.8 and 15.1 ± 1.5 GPa, respectively) and trabecular bone hardness (571 ± 39 and 401 ± 37 MPa, respectively) in the DM group were significantly lower than the elastic modulus (23.4 ± 2.3 and 23.8 ± 1.8 GPa, respectively) and trabecular bone hardness (711 ± 45 and 719 ± 46 MPa, respectively) in the control group (P < 0.05). The maximum load required for the prosthesis pull‐out experiment in the DM group at 4, 8, and 12 weeks (55.14 ± 6.74 N, 73.34 ± 8.43 N, and 83.45 ± 8.32 N, respectively) was significantly lower than that in the control group (77.45 ± 7.48 N, 93.28 ± 8.29 N, and 123.62 ± 9.43 N, respectively, P < 0.05). At 8 and 12 weeks, the mineral‐to‐collagen ratio in the DM group (6.56 % ± 1.35% and 4.45%± 1.25%, respectively) was significantly higher than that in the control group (5.31% ± 1.42% and 3.62% ± 1.33%, respectively, P < 0.05). At 12 weeks, mRNA and protein expression levels of bone morphogenetic protein 2, transforming growth factor‐β1, vascular endothelial growth factor, osteopontin, osteocalcin, and runt‐related transcription factor 2 in the DM group were significantly lower than that in the control group. Conclusions DM can negatively affect bone osseointegration, manifesting as disorder in bone tissue arrangement around the implant, a lack of new bone tissue, poor maturity and continuity, poor trabecular bone parameters and lower expression of the related growth factors.

Further developing activities of striving to be advanced and creating excellence are the need of strengthening party organization of basic level and establishing harmonious society of the socialism. In this paper, we explore the concrete methods of carrying out activities of striving to be advanced and creating excellence in emergency department, and their effects on improving relationship between medical care providers and patients, it has certain theoretical and real significance.

Background: The lower number of platelet (PLT) has been found to be a risk factor in patients with type A acute aortic dissection (AAD) In admission. However prognostic implications of the PLT count in the type B AAD patients has not yet been elucidated. Methods: We consecutively enrolled 81 patients which confirmed with type B. Patients were divided into survival group and death group and PLT count were measured on admission. Univariate analysis and multiple logistic regression analysis were used to identify the predictors of in-hospital mortality. Results: Compared with the survival group, the death group PLT count was significant lower (172.07±57.38×10 9 /L vs. 227.13±75.97×10 9 /L, P<0.05). The results showed PLT count (HR: 0.993, 95% CI: 0.987-0.997, P=0.043), the area under the ROC curve of PLT count was 0.717, the best cut off was 179.5 × 10 9 / L, the sensitivity was 72.5%, the specificity was 63.3%, P=0.001; Log Rang test results showed that there was a statistically significant difference in cumulative survival between the high PLT count group (>179.5 × 10 9 / L) and the low PLT count group (<179.5 × 10 9 / L) (P=0.001). Conclusions: Low PLT on admission count is one of the specific dead risk factors for type B AAD in-hospital patients.