1.Efficacy of Autogenous Tooth Bone Graft Material for Patients with Alveolar Bone Deficiency in Orthodontic Treatment
Shuai LIU ; Rui ZHAO ; Junyan WANG ; Ruping TANG ; Guangqi YAN ; Mingliang YANG ; Zhenjin ZHAO
Journal of China Medical University 2019;48(2):105-108,113
Objective To evaluate the clinical effect of alveolar bone augmentation by applying autogenous tooth bone graft material to patients with alveolar bone deficiency in orthodontic treatment. Methods Four patients with a stable periodontal condition managed with fixed orthodontic treatment were included, and the number of graft sites was 17. Cone beam computed tomography (CBCT) showed labial alveolar bone deficiency. The treatment plan included extraction, and the extracted teeth were used to prepare autogenous tooth bone material. The alveolar bone width was measured at the same site at multiple heights prior to operation and at 3 and 6 months post-operation.Results The alveolar bone width was higher at both 3 and 6 months post-operatively (P < 0.05) than that pre-operatively. The alveolar bone width at 6 months post-operation was lower than that at 3 months post-operation (P < 0.05). Conclusion Applying autogenous tooth bone graft material to patients with alveolar bone deficiency in orthodontic treatment can expand the range of tooth movement and result in good clinical outcomes.
2. Distribution and drug resistance of pathogens at hematology department of Jiangsu Province from 2014 to 2015: results from a multicenter, retrospective study
Yike WAN ; Wei SANG ; Bing CHEN ; Yonggong YANG ; Luqin ZHANG ; Aining SUN ; Yuejun LIU ; Yang XU ; Yipeng CAI ; Chunbin WANG ; Yunfeng SHEN ; Yangwen JIANG ; Xiaoyan ZHANG ; Wei XU ; Ming HONG ; Tao CHEN ; Ruirong XU ; Feng LI ; Yanli XU ; Yan XUE ; Yilong LU ; Zhengmei HE ; Weimin DONG ; Ze CHEN ; Meihua JI ; Yueyan YANG ; Lijia ZHAI ; Yu ZHAO ; Guangqi WU ; Jiahua DING ; Jian CHENG ; Weibo CAI ; Yumei SUN ; Jian OUYANG
Chinese Journal of Hematology 2017;38(7):602-606
Objective:
To describe the distribution and drug resistance of pathogens at hematology department of Jiangsu Province from 2014 to 2015 to provide reference for empirical anti-infection treatment.
Methods:
Pathogens were from hematology department of 26 tertiary hospitals in Jiangsu Province from 2014 to 2015. Antimicrobial susceptibility testing was carried out according to a unified protocol using Kirby-Bauer method or agar dilution method. Collection of drug susceptibility results and corresponding patient data were analyzed.
Results:
The separated pathogens amounted to 4 306. Gram-negative bacteria accounted for 64.26%, while the proportions of gram-positive bacteria and funguses were 26.99% and 8.75% respectively. Common gram-negative bacteria were Escherichia coli (20.48%) , Klebsiella pneumonia (15.40%) , Pseudomonas aeruginosa (8.50%) , Acinetobacter baumannii (5.04%) and Stenotropho-monas maltophilia (3.41%) respectively. CRE amounted to 123 (6.68%) . Common gram-positive bacteria were Staphylococcus aureus (4.92%) , Staphylococcus hominis (4.88%) and Staphylococcus epidermidis (4.71%) respectively. Candida albicans were the main fungus which accounted for 5.43%. The rates of Escherichia coli and Klebsiella pneumonia resistant to carbapenems were 3.5%-6.1% and 5.0%-6.3% respectively. The rates of Pseudomonas aeruginosa resistant to tobramycin and amikacin were 3.2% and 3.3% respectively. The resistant rates of Acinetobacter baumannii towards tobramycin and cefoperazone/sulbactam were both 19.2%. The rates of Stenotrophomonas maltophilia resistant to minocycline and sulfamethoxazole were 3.5% and 9.3% respectively. The rates of Staphylococcus aureus, Enterococcus faecium and Enterococcus faecalis resistant wards vancomycin were 0, 6.4% and 1.4% respectively; also, the rates of them resistant to linezolid were 1.2%, 0 and 1.6% respectively; in addition, the rates of them resistant to teicoplanin were 2.8%, 14.3% and 8.0% respectively. Furthermore, MRSA accounted for 39.15% (83/212) .
Conclusions
Pathogens were mainly gram-negative bacteria. CRE accounted for 6.68%. The rates of Escherichia coli and Klebsiella pneumonia resistant to carbapenems were lower compared with other antibacterial agents. The rates of gram-positive bacteria resistant to vancomycin, linezolid and teicoplanin were still low. MRSA accounted for 39.15%.