Dai S.-W.,Shiyan Hospital |
Ding S.,Wuhan University |
Li Z.-H.,Wuhan University |
Wu M.-K.,Shiyan Hospital |
And 3 more authors.
Journal of Clinical Rehabilitative Tissue Engineering Research | Year: 2010
BACKGROUND: The deficiency of perfect animal femoral head necrosis model limited its further investigation. OBJECTIVE: To verify the feasibility of establishing rabbit femoral head necrosis models using liquid nitrogen refrigeration method, and to provide a foundation for subsequent research. METHODS: A total of 20 adult, New Zealand, white rabbits were selected in the study. The round ligament of femur was not cut off and femoral head was not dislocated, and the exposed femoral head were quick frozen using cotton bud carrying liquid nitrogen for successive 25 times, with 10 s per time. The specimens were examined by gross anatomy, X-ray film, MRI and histological observation at day 3, 7 and weeks 2, 4, 6, and 8 after operation. RESULTS AND CONCLUSION: The histological section showed that chondrocyte, osteocyte, and myeloid tissues presented necrosis in freezing and periphery at 3 days after model preparation, and the repair process appeared at 2 weeks after operation. The articular surface of femoral heads appeared collapse at 4 weeks after operation, and these changes became obvious at 6 weeks. The femoral head presented osteoarthritis-like disorder, with seriously collapsed articular surface at 8 weeks, and the contour of femoral head changed in 2 animals. The results demonstrated that without hip dislocation, rabbit femoral head necrosis models can be established successfully using liquid nitrogen refrigeration method. This method is simple, feasible, with high succeed rate, which can be used in subsequent research.
Ouyang Z.,Shiyan Hospital |
Liang Y.,Shiyan Hospital |
Deng Y.-Z.,Peoples Hospital of Baoan District |
Liu J.-H.,Shiyan Hospital |
And 3 more authors.
International Journal of Ophthalmology | Year: 2010
• AIM: To explore the correlated factors between multivariate ocular factors and the development of dry eye. • METHODS: Five hundred and thirty-six cases with dry eye were selected and evaluated with a series of ocular testing of the Schirmer test, the tears film stability, the staining with fluorescein sodium on cornea. A questionnaire about dry eye was surveyed. The multivariate nonconditional Logistic regression analysis was used to analyze the relation between multivariate ocular factors and the development of dry eye. • RESULTS: The Logistic regression predictive equation for dry eye was: Y = -2.21 + 0.459 X3 + 10.572 X4-0.069 X5 + 0.766 X6 + 0.924 X7 + 0.264 X9-1.78 X12 + 7.235 X13 + 4.917 X14 + 5.148 X15; P = exp (Y)/[1 + exp(Y)]. The P value meant the probability of suffering dry eye. • CONCLUSION: Our data showed that multivariate ocular factors might play a role in the development of dry eye. The clinical features of dry eye are significant for the diagnosis, and it can be predicted by using the suitable logistic predictable equation.