The changes of nitric oxide and hemorheology in steroid-induced avas-cular necrosis of femoral head

Objective: To explore the pathogenesis of avascular necrosis of femoral head (ANFH), the early diagnosis index and the treatment effective index of ANFH in clinical practice. Methods: Twenty-four Japanese rabbits were divided into 2 groups: model group and control group. ANFH models were produced by intramuscular injection of large dosage of steroid to rabbits for 8 weeks. On the 4 th, 8 th week after the injection, two rabbits each time from each group were taken to observe the structure of femoral head by light microscope and scanning electron microscope. Four other stomach-empty rabbits from each group were also used to test the contents of Nitric Oxide (NO), contents of the hemorheology indexes. Results: Compared with the control group, the rabbits in the model group exhibited osteoporosis of femoral head and more bone lacuna and more fat cells through light microscope. Through scanning electron microscope observation bone trabecula were broken and sunk, and collagen fibers on the surface of bone matrix became loosen and broken, more osteocyte had pyknosis, adipocyte in the medullary cavity were enlarged and subchondral arterioles and capillaries of the femoral head were pressed by adipocyte. Compared with the control group, the model rabbits contained less NO and obvious increase of the plasma viscosity (PV), low blood viscosity (LBV), erythrocyte hematocrit (HCT), indices of erythrocyte rigidity (TK) and indices of erythrocyte aggregation (AI), plasma fibrin level (PFL) (P<0. 01) and an increase of erythrocyte electrophoresis rate (ERT) (P< 0.05). High blood viscosity (HBV), and erythrocyte sedimentation rate (ESR) were unchanged. Conclusion: The steroid-induced ANFH might be related to less NO and the abnormal hemorheology; and NO and hemorheology should be considered as an early diagnosis index for ANFH in clinical practice.

Inspection-replacement policy of system under predictive maintenance

In general, every system is in one of the three states： normal, abnormal, or failure state. When the system is diagnosed as abnormal state, it needs predictive maintenance, lfthe system fails, an identical new one will replace it. The predictive maintenance cannot make the system ＂as good as new＂. Under these assumptions, the reliability index and the inspection-replacement policy of a system were studied. The explicit expression of the reliability index and the average income rate （i.e., the long-run average income per unit time） are derived by using probability analysis and vector Markov process method. The criterion of feasibility for the optimal inspection-replacement policy under the maximum average income rate is obtained. The numerical example shows the optimal inspection-replacement policy can raise the average income rate when the optimal inspection-replacement policy is feasible.