Objective To investigate the effects of advanced oxidation protein products (AOPP) in type 2 diabetic ocular muscles palsy (DOMP). Methods 58 DOMP patients and 50 type 2 diabetes patients were included in the research. Hemoglobin A1c (HbA1c), blood glucose (FPG), fasting insulin (FINS) and triglycerides (TG), total cholesterol (TC), high-density lipoprotein (HDL), low-density lipoprotein (LDL) were measured and recorded. Homeostasis model assessment was performed to evaluate the status of insulin resistance (HOMA-IR), basal insulin secretion (HOMA-β) and the insulin sensitivity index (ISI). Serum AOPP was measured by enzyme linked immunosorbent assay. Unconditional logistic regression model was used to evaluate the influencing factors of DOMP. Results The DOMP group showed higher levels of plasma AOPP, TG, LDL, FPG, FINS, HbA1c and HOMA-IR, but lower levels of HDL, HOMA-β and ISI than those of the T2DM group. Unconditional logistic regression analysis revealed that AOPP was an independent risk factors for DOMP (OR =3.01, P = 0.002). Conclusion AOPP may be involved in the pathogenesis of DOMP. AOPP could be a useful indicator for monitoring the development of DOMP and for evaluating its severity.

Objective To explore the change of glyoxalase I in type 2 diabetic ocular muscles palsy (DOMP) and its associations with advanced oxidation protein products (AOPP) and oxidative stress. Methods 58 DOMP patients, 50 T2DM and 30 normal controls were enrolled in this study. Levels of blood lipids, fasting blood glucose, hemoglobin A1c, insulin, serum glyoxalase I, AOPP, malondialdehyde (MDA), superoxide dismutase (SOD) and total antioxidant capacity (T-AOC) were measured. Homeostasis model assessment was performed to evaluate the status of insulin resistance (IR). Results Levels of high-density lipoprotein cholesterol, SOD and T-AOC were positively correlated with glyoxalase I and inversely associated to AOPP. Levels of triglycerides , low-density lipoprotein cholesterol , fasting blood glucose , hemoglobin A1c , IR and MDA were negatively correlated with glyoxalase I and positively related to AOPP. AOPP had an inverse association with glyoxalase I (r = -0.823, P < 0.001). Multivariate regression analysis showed that serum levels of glyoxalase I (Sβ = 0.554) and AOPP (Sβ= -0.469) were influencing factors of groups. Conclusion Serum glyoxalase I levels were significantly decreased in DOMP and correlated with AOPP and levels of oxidative stress , which suggest that glyoxalase I could play crucial roles on the development of DOMP.

Enhancement of health management capability and resource utilization efficiency of hospitals has become an imperative need to deepen the healthcare reform. The high-value consumables are subject to point-to-point accurate tracking based on code scan, relying on the hospital′s WeChat official account for WeChat-based management. The WeChat platform enables the system to automatically push the preset procurement plan to the mobile terminal of the managers via the low-inventory alarm at the departments. On the other hand, vendors can use their own mobile terminals to receive in time the plans, query product inventory, and last month invoicing information. These measures facilitate the hospital management on high-value consumables.

Objective: To construct and implement a calculation model of clinical nursing post classification. Methods: Between October to December 2018, head nurses of the hospital were screened as consultants, and Delphi method was used to determine the indicators, while the weights were assigned from the aspects of nursing workload, work quality, patient satisfaction and number of nursing night shifts. Combined with HIS data, the calculation model of clinical nursing post classification was constructed to classify clinical nursing units into different categories and levels. Results: After two rounds of expert enquiry, 82 nursing work items were identified and the objective weight assignment was determined ranging from 0.80 to16.14. According to the established calculation model and HIS data, nursing posts in clinical departments were classified into 6 levels and 3 categories, and the accurate management of clinical nursing post classification was achieved. Conclusions The construction of a calculation model is scientific and rigorous, which provides a scientific basis for dynamic nurse performance management and rational allocation of human resources. In addition, it provides a useful reference for accurate nursing management.