OBJECTIVEWe designed a multi-center, double-blind, randomized, parallel, with metformin controlled clinical trial to evaluate the efficacy and safety of low dose rosiglitazone combined with sulphonylurea therapy in type 2 diabetic patients who were inadequately controlled with sulphonylurea alone.

METHODSPatients were treated with 4 mg rosiglitazone once daily plus sulphonylurea (test group) or 0.5 g metformin twice daily plus sulphonylurea (control group) for 12 weeks. The mean levels of HbA(1c), fasting and postprandial plasma glucose were recorded and compared between the two groups.

RESULTSThe mean levels of HbA(1c) decreased by 1.09% and 0.95% in the test group (n = 102) and control group (n = 96) respectively. Fasting and postprandial plasma glucose levels in the test group decreased by 25.0% and 35.6%, and in the control group, decreased by 17.7% and 23.8% as compared with the baseline (both P < 0.01). No liver damage was found.

CONCLUSIONCombination treatment of rosiglitazone and sulphonylurea can effectively improve glycemic control in type 2 diabetic patients inadequately controlled with sulphonylurea alone.

Adult ; Aged ; Blood Glucose ; analysis ; Diabetes Mellitus, Type 2 ; drug therapy ; Double-Blind Method ; Drug Therapy, Combination ; Humans ; Hypoglycemic Agents ; administration & dosage ; Metformin ; administration & dosage ; Middle Aged ; Sulfonylurea Compounds ; administration & dosage ; Thiazoles ; administration & dosage ; Thiazolidinediones

To investigate the mutation site of pathogenic gene in patients with hypertrophic cardiomyopathy (HCM) and to analyze the relationship between the genotype and clinical phenotype. Methods: Targeted exon capture sequencing was conducted in a HCM proband for 30 coding exons related HCM gene by all exon amplification and high-throughput sequencing. Furthermore, Sanger sequencing was performed in other family member and in 200 healthy volunteers for verification. The familial investigation included in clinical presentation, physical examination, electrocardiogram and echocardiography. Results: There were 3/6 blood relatives carrying cardiac myosin-binding protein gene MyBPC3 G772A heterozygous mutation, the mutation site was at 258 amino acid of MyBPC3 as glutamic acid (Glu) was substitute to lysine (Lys), such mutation was not found in rest of family member and not in healthy volunteers. The onset of proband and her daughter was rather late, they had palpitation and chest tightness; echocardiography showed interventricular septum basal segment thickening (16-18) mm. Proband was complicating paroxysmal ventricular tachycardia, malignant arrhythmia and heart failure, the maximum pressure gradient of left ventricular outflow was 56 mmHg, which with the high risk for sudden death. Conclusion: Comprehensive gene test has been helpful for clinical stratification, early diagnosis and treatment. MYBPC3 site mutation c.G772A might be the pathogenic mutation in that specific HCM family.

Objective: To analyze the quantitative relationship between the number of layers of laser pulses and the amount of step in ultra-short pulse laser cutting of cortical bone, optimize the robot's vertical single stepping parameters, and to explore the feasibility of automatic preparation of dental implant cavity using robot controlling ultra-short pulse laser, in order to lay the foundation for automated dental implant surgery. Methods: Eight pig ribs were segmented into to make 16 specimens. Using the robotic surgical system and path planning software independently developed by our group, circular holes with a diameter of 4 mm were cut two-dimensionally in the rib segments to obtain the quantification relationship of the number of laser pulse layers (n) and the depth of two-dimensional (2D) cutting (d). When conducting the three-dimensional (3D) cutting procedure, the number of pulse layers were set to 5, 10, 15, 20, 25, 30, 35, 40, 45, 50 layers, the vertical single step amount was an integer value corresponding to the results of 2D cutting depth, and the number of pulses (n') corresponding to the minimum difference between the theoretical depth of cut and the actual depth of cut was obtained. The n' was taken as the most suitable single step pulse layer, the rib segment was cut, and the depth of single cut was measured while the integer value was taken as the most appropriate vertical single step amount (d'). The vertical parameters of laser single stepping were set as n' layer pulse and d′ μm step size. The 3D cutting produces a cylindrical cavity with a diameter of 4 mm and a height of 2 mm to evaluate the 3D cutting accuracy (the difference between the measured value and the theoretical value of cutting diameter or depth). Ten 4 mm×3 mm implant holes were automatically prepared on the bilateral femurs of 5 Japanese big white rabbits, and ten 4 mm×3 mm implants made by 3D printer were artificially implanted, and the preparation effect of the implant cavities was evaluated. Results: The quantitative relationship curve between the number of laser pulses (n) and 2D depth of cut (d) showed a linear upward trend. The linear fitting obtained the quantitative relation function formula d=9.278 4 n±26.763 0, R²=0.988 9. The optimum number of single step pulse layers was 5 layers, and the vertical single step amount was 50 μm, so as to set the vertical parameters of a single step of a 3D cutting, and the 3D cutting diameter accuracy was (3.98±2.87) μm, with a depth accuracy of (15.42±5.44) μm. Automated preparation of 10 implant cavities on the femur of the rabbit were completed. When the implants were placed into the implant cavities, there was resistance, but they were fully seated and primary stability has been achieved after seating implant placement. Conclusions The method of non-contact automatic preparation of dental implant cavities using robot controlling ultra-short pulse laser is feasible. By optimizing the single cutting process parameters, precise control of laser cutting cortical bone can be realized.

Objective: To further study the most suitable parameters for automatic full crown preparation using oral clinical micro robot. Its purpose is to improve the quality of automated tooth preparing for the system and to lay the foundation for clinical application. Methods: Twenty selected artificial resin teeth were used as sample teeth. The micro robot automatic tooth preparation system was used in dental clinic to control the picosecond laser beam to complete two dimensional cutting on the resin tooth sample according to the motion planning path. Using the laser scanning measuring microscope, each layer of cutting depth values was obtained and the average value was calculated. The monolayer cutting depth was determined. The three-dimensional (3D) data of the target resin teeth was obtained using internal scanner, and the CAD data of full-crown tooth preparation was designed by CAD self-develged software. According to the depth of the single layer, 11 complete resin teeth in phantom head were automatically prepared by the robot controlling the laser focused spot in accordance with the layer-cutting way. And the accuracy of resin tooth preparation was evaluated with the software. Using the same method, monolayer cutting depth parameter for cutting dental hard tissue was obtained. Then 15 extracted mandibular and maxillary first molars went through automatic full crown tooth preparation. And the 3D data of tooth preparations were obtained with intra oral scanner. The software was used to evaluate the accuracy of tooth preparation. Results: The results indicated that the single cutting depth of cutting resin teeth and in vitro teeth by picosecond laser were (60.0±2.6) and (45.0±3.6) μm, respectively. Using the tooth preparation robot, 11 artificial resin teeth and 15 complete natural teeth were automatically prepared, and the average time were (13.0±0.7), (17.0±1.8) min respectively. Through software evaluation, the average preparation depth of the occlusal surface of 11 resin teeth was approximately (2.089±0.026) mm, the error was about (0.089±0.026) mm; the average convergence angle was about 6.56°±0.30°, the error was about 0.56°±0.30°. Compared with the target preparation shape, the average shape error of the 11 resin tooth preparations was about 0.02-0.11 mm. And the average preparation depth of the occlusal surface of 15 natural teeth was approximately (2.097±0.022) mm, the error was about (0.097±0.022) mm; the average convergence angle was about 6.98°±0.35°, the error was about 0.98°±0.35°. Compared with the target preparation shape, the average shape error of the 15 natural tooth preparations was about 0.05-0.17 mm. Conclusions The experimental results indicate that the automatic tooth preparation for resin teeth and the teeth were completed according to the specific parameters of the single cutting depth by the micro robot controlling picosecond laser respectively, its preparation accuracy met the clinical needs. And the suitability of the parameter was confirmed.