Robotic catheter minimally invasive operation requires that the driver control system has the advantages of quick response, strong anti-jamming and real-time tracking of target trajectory. Since the catheter parameters of itself and movement environment and other factors continuously change, when the driver is controlled using traditional proportional-integral-derivative (PID), the controller gain becomes fixed once the PID parameters are set. It can not change with the change of the parameters of the object and environmental disturbance so that its change affects the position tracking accuracy, and may bring a large overshoot endangering patients' vessel. Therefore, this paper adopts fuzzy PID control method to adjust PID gain parameters in the tracking process in order to improve the system anti-interference ability, dynamic performance and tracking accuracy. The simulation results showed that the fuzzy PID control method had a fast tracking performance and a strong robustness. Compared with those of traditional PID control, the feasibility and practicability of fuzzy PID control are verified in a robotic catheter minimally invasive operation.
Algorithms ; Computer Simulation ; Fuzzy Logic ; Humans ; Minimally Invasive Surgical Procedures ; Robotic Surgical Procedures ; Robotics

Burkitt lymphoma (BL) is an aggressive B-cell non-Hodgkin lymphoma which often occurs in children. The cure rate of BL is significantly increased with the wide application of short-duration and high-intensity immunochemotherapy, however, chemotherapy-related adverse reactions are still a big problem in adult patients and human immunodeficiency virus (HIV) positive patients. Meanwhile, the absence of effective immune targeting new drugs in patients with relapsed and refractory BL needs to be solved clinically. How to optimize the therapeutic regimen to reduce the chemotherapy-related adverse reactions and develop effective immune targeting new drugs is the hot spot in current research. This paper reviews the treatment progress of BL according to the 59th American Society of Hematology (ASH) Annual Meeting.

Objective To investigate the association between body mass index (BMI), waist circumference (WC), waist?to?height ratio (WHtR), and the incidence risk of type 2 diabetes mellitus (T2DM). Methods In total, 20 194 participants≥18 years old were selected randomly by cluster sampling from two township (town) of the county in Henan province from July to August of 2007 and July to August of 2008 and the investigation included questionnaires, anthropometric measurements, fasting plasma glucose,and lipid profile examination were performed at baseline; 17 236 participants were enrolled in this cohort study. 14 720 (85.4%) were followed up from July to August 2013 and July to October 2014. Finally, 11 643 participants (4 301 males and 7 342 females) were included in this study. Incidence density and Cox proportional hazards regression models were used to evaluate the risk of T2DM associated with baseline BMI, WC, WHtR, and their dynamic changes. Results After average of 6.01 years following up for 11 643 participants, 613 developed T2DM and the incidence density was 0.89 per 100 person?years. After adjusted for baseline sex, age, smoking, drinking, family history of diabetes, as well as the difference of fasting plasma?glucose (FPG), total cholesterol (TC), triglyceride (TG), high density lipoprotein cholesterol (HDL?C), systolic blood pressure (SBP), diastolic blood pressure (DBP) between baseline and follow?up, Cox Proportional?Hazards regression analysis indicated that T2DM risk of baseline BMI overweight group, BMI obesity group, abnormal WC group and abnormal WHtR group were significantly higher than that of the corresponding baseline normal groups , and the incidence risk of T2DM reached the highest for those whose baseline BMI, WC and WHtR were all abnormal, the corresponding HR (95%CI) were 2.05 (1.62-2.59), 3.01 (2.33-3.90), 2.34 (1.89-2.90), 2.88 (2.21-3.74), 3.32 (2.50-4.40), respectively. Whether baseline BMI/WC was normal or not, T2DM risk increased if baseline WHtR was abnormal, and the HR (95%CI) of baseline normal BMI/abnormal WHtR group, baseline abnormal BMI/abnormal WHtR group, baseline normal WC/abnormal WHtR group, baseline abnormal WC/abnormal WHtR group were 1.88 (1.29-2.74), 3.08 (2.34-4.05), 2.15 (1.53-3.00), 3.22 (2.45-4.23), respectively. The analysis for dynamic changes of BMI, WC, and WHtR indicated that in baseline normal WC or WHtR group, T2DM risk increased when baseline normal WC or WHtR developed abnormal at follow?up, and the corresponding HR (95%CI) were 1.79 (1.26-2.55), 2.12 (1.32-3.39), respectively. In baseline abnormal WC or WHtR group, T2DM risk decresed when baseline abnormal WC or WHtR reversed to normal at follow?up, and the corresponding HR (95%CI) were 2.16 (1.42-3.29), 2.62 (1.63-4.20), respectively. Conclusion BMI, WC, and WHtR were associated with increased T2DM risk. The more abnormal aggregation of BMI, WC, and WHtR presents, the higher T2DM risk was. T2DM risk could be decreased when abnormal WC or WHtR reversed to normal.

Objective To investigate the association between body mass index (BMI), waist circumference (WC), waist?to?height ratio (WHtR), and the incidence risk of type 2 diabetes mellitus (T2DM). Methods In total, 20 194 participants≥18 years old were selected randomly by cluster sampling from two township (town) of the county in Henan province from July to August of 2007 and July to August of 2008 and the investigation included questionnaires, anthropometric measurements, fasting plasma glucose,and lipid profile examination were performed at baseline; 17 236 participants were enrolled in this cohort study. 14 720 (85.4%) were followed up from July to August 2013 and July to October 2014. Finally, 11 643 participants (4 301 males and 7 342 females) were included in this study. Incidence density and Cox proportional hazards regression models were used to evaluate the risk of T2DM associated with baseline BMI, WC, WHtR, and their dynamic changes. Results After average of 6.01 years following up for 11 643 participants, 613 developed T2DM and the incidence density was 0.89 per 100 person?years. After adjusted for baseline sex, age, smoking, drinking, family history of diabetes, as well as the difference of fasting plasma?glucose (FPG), total cholesterol (TC), triglyceride (TG), high density lipoprotein cholesterol (HDL?C), systolic blood pressure (SBP), diastolic blood pressure (DBP) between baseline and follow?up, Cox Proportional?Hazards regression analysis indicated that T2DM risk of baseline BMI overweight group, BMI obesity group, abnormal WC group and abnormal WHtR group were significantly higher than that of the corresponding baseline normal groups , and the incidence risk of T2DM reached the highest for those whose baseline BMI, WC and WHtR were all abnormal, the corresponding HR (95%CI) were 2.05 (1.62-2.59), 3.01 (2.33-3.90), 2.34 (1.89-2.90), 2.88 (2.21-3.74), 3.32 (2.50-4.40), respectively. Whether baseline BMI/WC was normal or not, T2DM risk increased if baseline WHtR was abnormal, and the HR (95%CI) of baseline normal BMI/abnormal WHtR group, baseline abnormal BMI/abnormal WHtR group, baseline normal WC/abnormal WHtR group, baseline abnormal WC/abnormal WHtR group were 1.88 (1.29-2.74), 3.08 (2.34-4.05), 2.15 (1.53-3.00), 3.22 (2.45-4.23), respectively. The analysis for dynamic changes of BMI, WC, and WHtR indicated that in baseline normal WC or WHtR group, T2DM risk increased when baseline normal WC or WHtR developed abnormal at follow?up, and the corresponding HR (95%CI) were 1.79 (1.26-2.55), 2.12 (1.32-3.39), respectively. In baseline abnormal WC or WHtR group, T2DM risk decresed when baseline abnormal WC or WHtR reversed to normal at follow?up, and the corresponding HR (95%CI) were 2.16 (1.42-3.29), 2.62 (1.63-4.20), respectively. Conclusion BMI, WC, and WHtR were associated with increased T2DM risk. The more abnormal aggregation of BMI, WC, and WHtR presents, the higher T2DM risk was. T2DM risk could be decreased when abnormal WC or WHtR reversed to normal.

Objective     To summarize the surgical treatment experience in neonates with coarctation of the aorta (CoA) and aortic arch hypoplasia (AAH). Methods     The neonates with CoA and AAH who underwent surgical treatment in the Department of Pediatric Cardiac Surgery of Guangdong Provincial People's Hospital from 2013 to 2020 were retrospectively enrolled. The postoperative complications, long-term survival rate, and freedom from aortic reobstruction were analyzed. Patients undergoing extended end-to-end anastomosis were allocated into an extended end-to-end group, those undergoing extended end-to-side anastomosis into an extended end-to-side group, and those undergoing pulmonary autograft patch aortoplasty into a patch aortoplasty group. Results     Finally 44 patients were  enrolled, including 37 males and 7 females, aged 5.00-30.00 (19.34±7.61) days and weighted 2.00-4.50 (3.30±0.60) kg. There were 19 patients of extended end-to-end anastomosis, 19 patients of extended end-to-side anastomosis, and 6 patients of pulmonary autograft patch aortoplasty. The mean values of the Z scores of the proximal, distal, and isthmus of the aortic arch were –2.91±1.52, –3.40±1.30, and –4.04±1.98, respectively. The mean follow-up time was 45.6±3.7 months. There were 2 early deaths and no late deaths. Aortic reobstruction occurred in 8 patients, and 3 patients underwent reoperation intervention. The 5-year rate of freedom from reobstruction was 78.8%. The Cox multivariable regression analysis showed that the related factors for postoperative reobstruction were the Z score of the preoperative proximal aortic arch (HR=0.152, 95%CI 0.038-0.601, P=0.007) and the postoperative left main bronchus compression (HR=15.261, 95%CI 1.104-210.978, P=0.042). Conclusion     Three surgical procedures for neonates with CoA and AAH are safe and effective, but the aortic reobstruction rate in long term is not low. The smaller Z score of the preoperative proximal aortic arch and the postoperative left main bronchus compression are risk factors for long-term aortic reobstruction.