Scientific innovation teams are key weight indicators and promoters in science and technology of a hospital.The First Affiliated Hospital of Anhui Medical University(the Hospital)draws funding support from the Natural Science Foundation,to empower its innovative teams with programs and funding.These efforts have effectively propelled its innovations spearheaded by the dermatology team to give rise to outstanding outcomes and power teams.The application for talents support from NSF,the project approval for the hospital funding is affected to some extent.With the help from NSF and the innovative teams,scientific teams of the hospital have harvested a general upgrading and accelerated development of disciplines,elevating the scientific level of hospital in general.

Objective summarize the delicacy management practices through the NSFC application procedures in a university affiliated hospital,to provide further reference for improvement of the NSFC project approvai ratio.Methods To summarize the management experiences by analyzing the approval number,project category and funds of NCFS from 2006 to 2015.Results The delicacy man agement practices include cultivate scientific research atmosphere by strengthen motivation,initiate application as early as possible,enlarging application number by extensive mobilization,improve applica tion quality by massive training,multi-round updates,tutorial,prevent avoidable errors by cross-over review.Conclusions Delicacy management by scientific research management department during the application process is critical to improve the project approval ratio of NCFS in a hospital.

Objective: To investigate factors affecting X-ray structure of the spine in patients with ankylosing spondylitis (AS). Methods: A total of 206 AS patients were recruited. Clinical and laboratory parameters in AS patients were recorded in detail. Disease activity index [Bath ankylosing spondylitis disease activity index (BASDAI), ankylosing spondylitis disease activity score (ASDAScrp)], X-ray structural damage index-modified stoke ankylosing spondylitis spine score (mSASSS) and grading results of radiographic examination of sacroiliac joint were calculated. Statistical analysis using Statistical Package form Soci-science(SPSS) 17.0 Chi-square test, rank test, Logistics regression analysis and other statistical methods were used. Differences of mSASSS levels, spine involvement (mSASSS>0) and rates of bone bridge formation were compared between different groups. Results: Incidences of spine involvement (100%) and bone bridge formation(65.2%) in AS patients ≥40 years old were significantly higher than those in AS patients <40 years old (90.6%、31.9%)(χ²=4.651, P=0.031; χ²=16.647, P<0.01), and the level of mSASSS was also higher (Z=5.575, P<0.01). In AS patients with BMI ≥24 kg/m², disease duration ≥5 years (49.2%, 50.4%), rates of bone bridge formation was significantly higher than those in AS with BMI <24 kg/m², but the disease duration (34.5%, 19.7%)(χ²=4.014, P=0.045; χ²=18.173, P=0.03), and mSASSS values were significantly higher (Z=2.281, P=0.023, Z=4.828, P<0.01). Bone bridge formation rate in smoking patients (50.6%) was significantly higher than that in non-smoking patients (31.0%) (χ²=7.346, P=0.007) and mSASSS value was significantly higher (Z=2.045, P=0.041). Bone bridge formation rates in AS with high-ESR and high-CRP(48.6%, 49.0%) were significantly higher than those in patients with normal-ESR and normal-CRP(25.6%, 28.9%)(χ²=10.784, P=0.001; χ²=8.102, P=0.004) and mSASSS value was clearly higher(Z=2.379, P<0.01; Z=3.112, P<0.01). Bone bridge formation rate in AS with BASDAI≥4 or ASDAScrp≥2.1 groups (52.8%, 46.4%) were significantly higher than that in AS with BASDAI<4 or ASDAScrp<2.1 groups (34.2%, 30.7%) (χ²=5.681, P=0.017; χ²=4.646, P=0.031) and mSASSS values were significantly higher (Z=3.887, P<0.01; Z=3.895, P=0.004). Rates of bone bridge formation among different X-ray grading of sacroiliac joint (10.8%, 35.6%, 60.3%) and MRI findings (33.3%, 50.0%, 15.4%) differed with each other (χ²=25.714, P<0.01; χ²=6.855, P=0.032). Logistics regression analysis showed that BMI [OR(95%CI)=1.145(1.037, 1.265), P<0.01], disease duration [OR(95%CI)=1.144(1.055, 1.239), P<0.01], smoking [OR(95%CI)=2.832(1.343, 5.969), P<0.01] and sacroiliac joint X-ray staging [OR(95%CI)=2.584(1.337, 4.997), P<0.01] were risk factors for the bone bridge formation in spine of AS. Conclusion Spinal involvement in AS is related to disease activity. Bone bridge formation correlateswith disease duration, BMI and disease-status, especially with smoking.

Objective To investigate the strategies for building a high-level research talent team in a research-oriented hospital,based on the current situation of full-time research personnel and postdoctoral talent in a tertiary comprehensive hospital in Anhui Province.Methods Drawing on the dual-factor theory,a descriptive analysis was conducted to examine the construc-tion and practical outcomes of full-time research personnel and postdoctoral talent in the hospital.Issues were identified,and cor-responding recommendations were proposed.Results Over a three-year period,the growth rates of research achievements,in-cluding longitudinal projects,high-level publications,and patent authorizations,exceeded 100%.Disciplines with full-time re-search personnel showed significantly better research performance than those without.However,challenges were identified,inclu-ding a low proportion of full-time research personnel in the total staff(1.8%),imbalanced discipline development,and incom-plete external research support and internal incentive mechanisms.Conclusion The construction of full-time research personnel and postdoctoral talent plays a crucial role in enhancing the clinical research capacity and promoting high-quality development in hospitals.It is essential to continuously optimize incentive measures,coordinate health factors with motivating factors to achieve synergistic effects,and improve the level of talent development in research-oriented hospitals.

Objective To explore the prevalence and reference value of disease features of patients with spondyloarthritis. Methods Spondyioarthritis features and laboratory indexes and radiographic indexes of 505 patients with spondyloarthritis (SpA) including 353 patients with ankylosing spondylitis (AS), 62 patients with non-radiographic axial spondyloarthritis (nr-axSpA) and 90 patients with peripheral spondyloarthritis (pSpA) were recorded. One-way analysis of variance, Kruskal-Wallis test, x2-test, Logistic regression were used for statistical analysis. Results Sex ratio ( x2=20.673, P<0.01), age ( x2=22.258, P<0.01), disease duration ( x2=76.052, P<0.01) were different among AS, nr-axSpA and pSpA. Besides, Bath ankylosing spondylitis disease activity index (BASDAI), ankylosing spondylitis disease activity score (ASDAScrp), erythrocyte sedimentation rate (ESR), C-reactionprotein (CRP) and Bath ankylosing spondylitis functional index (BASFI)were different among SpA subgroups ( x2/F=13.196-40.028, P<0.01). Prevalence of inflammatory back pain, peripheral arthritis, preceding infection, positive human lymphocyte antigen (HLA)-B27 and elevated CRP were different among SpA subgroups ( x2=11.416, 32.657, P<0.01). Prevalence of dactylitis in SpA with positive HLA-B27 was lower than that in SpA with negative HLA-B27 ( x2=5.414, P=0.02). Prevalence of enthesitis and dactylitis in SpA patients with peripheral arthritis was higher than that in SpA without peripheral arthritis involvement ( x2=7.177, 14.428, P<0.01). Prevalence of good response to Non-steroid anti-inflammatory drugs. (NSAIDs) in patients with anterior uveitis involvement was higher than SpA without anterior uveitis involvement ( x2=4.578, P=0.032). SpA patients were stratified by total number of SpA features into 4 subgroups (n≤1, n=2, n=3, n≥4). Prevalence of inflammatory back pain, positive HLA-B27, good response to NSAIDs were the top three in all subgroups. Inflammatory back pain and HLA-B27 (+) were risk factors for axSpA (OR=3.254, 3.323, P<0.01). Peripheral arthritis, dactylitis, and preceding infection were risk factors for pSpA (OR=3.759, 4.134, 17.044, P<0.01). Conclusion Inflammatory back pain, HLA-B27 (+) and good response to NSAIDs should be emphasized for the diagnosis of SpA. Inflammatory back pain and HLA-B27(+) always means axSpA. Peripheral arthritis, dactylitis and preceding infection always indicates pSpA.