Objective To analyze the spatial and temporal distribution characteristics of hand-foot-mouth disease (HFMD) in Zibo City, to explore the key incidence areas, and to find a suitable prediction model, so as to provide reference for the prevention and control of HFMD. Methods The spatiotemporal clustering characteristics of HFMD in Zibo City from 2018 to 2023 were analyzed by using SaTScan 10.0.2 software and ArcGIS 10.7 software. A combination model of ARIMA and SVM was established, and the prediction results were verified and compared. Results Spatial clustering analysis showed that there was spatial clustering of the incidence of HFMD in various townships of Zibo City from 2020 to 2022. The high-high clustering areas and Getis-Ord hot spot areas were mainly concentrated in some main urban areas of Zhangdian District, Zichuan District, and Huantai County. A total of 2-5 aggregation areas were detected by spatiotemporal scanning analysis. The first-type aggregation areas were mainly concentrated in the towns of Zhangdian District, Huantai County, Linzi District, Zhoucun District and Gaoxin District. The aggregation months were July, August, September and November. The model prediction results showed that the ARIMA-SVM combined model was more accurate than the traditional ARIMA model. Conclusion There is a spatiotemporal clustering of hand-foot-mouth disease in Zibo City. The ARIMA-SVM combined model can be used to predict the incidence of hand-foot-mouth disease in Zibo City, and to strengthen health education and disease monitoring in high-risk areas and populations during the epidemic months.

Objective:To analyze the learning curve of TiRobot-assisted lumbar pedicle screw fixation (LPSF) by cumulative sum (CUSUM) test method.Methods:The clinical data of 50 patients who underwent TiRobot-assisted LPSF from January 2020 to December 2022 in Beijing Friendship Hospital, Capital Medical University were retrospectively analyzed. CUSUM analysis and learning curve fitting were performed with robot usage time as the main indicator with the time for each step refined (robot registration time, path planning time and guide wire placement time), to select the best learning curve fitting model with the R2 value closest to 1. Using the turning point of the learning curve as the boundary, the learning curve was divided into two stages as learning stage and maturity stage, and then the observation indexes were compared between the two stages. Results:All 50 patients successfully completed the surgery without perioperative complications, with a total of 244 pedicle screws implanted. The total robot usage time and robot registration time showed a gradually decreasing trend with the increase of case number, and the learning curves were successfully fitted and reached their peaks at the seventeenth and thirteenth cases respectively. The entire learning process was divided into learning stage (17 cases) and maturity stage (33 cases) based on the turning point of the learning curve of total robot usage time. The path planning time and guide wire placement time did not show significant changes with the increase in the case number. The total robot usage time, robot registration time and the intraoperative blood loss in the learning stage were significantly higher than those in the maturity stage: (35.35 ± 1.58) min vs. (30.61 ± 0.43) min, (20.83 ± 1.56) min vs. (14.94 ± 0.29) min and 400 (150, 500) ml vs. 200 (110, 300) ml, the guide wire placement time of per screw was significantly lower than that in the maturity stage: 2.00 (1.83, 2.34) min/screw vs. 2.33 (2.13, 2.69) min/screw, and there were statistical differences ( P<0.05 or <0.01). There were no statistical difference in the path planning time, path planning time of per screw, guide wire placement time and the accuracy of screw placement between two stages ( P>0.05). Conclusions:TiRobot-assisted LPSF is a new technology with safety and effectiveness, and it has a relatively short learning curve. To achieve technological maturity, at least 17 surgeries are required with accumulated experience, and the robot registration is the main step of the learning process. After reaching maturity stage, the robot usage time is significantly shortened and intraoperative trauma is significantly reduced while the relatively high screw placement accuracy is ensured.

Objective To evaluate the transition rules of normal body mass index(BMI),overweight and metabolic syndrome(MetS)in patients with major depressive disorder(MDD).Methods Patients with MDD who had multiple admission records between Jan 2016 and Nov 2021 in Beijing Anding Hospital,Capital Medical University were included.Based on the overweight and metabolic syndrome status assessed at each admission,the patients were categorized into three states:normal BMI,overweight and metabolic syndrome.A multi-state Markov model was used to analyze the transition intensity and transition frequency between three states and the influence of covariates on transitions.Results A total of 892 records of 398 subjects were included,with a median age of 56 years old and 31.4% males.The median follow-up period was 40 months.The multi-state model showed that there were 494 transitions between the three states,of which 5.1% moved from normal BMI to overweight and 5.5% moved from overweight to MetS.The intensity of transition was the highest from overweight to MetS,9.52 times greater than overweight to normal BMI.After 48.53 months,MDD patients with normal BMI began to transition to MetS.For overweight MDD patients,the transition to MetS started after 8.77 months.MDD patients with normal BMI or overweight had 31.4% and 50.4% probabilities of developing Mets after 36 months.For MDD patients comorbid with MetS,the probability of staying at MetS was 51.2% after 36 months.Multivariate analysis showed that being unmarried was a risk factor against developing overweight in normal BMI MDD patients,while a higher level of education was a protective factor against developing MetS in overweight MDD patients.Conclusion MDD patients exhibited a higher intensity and risk of developing MetS,and it is not easy to reverse MetS,suggesting that BMI management and MetS intervention should be strengthened in MDD patients.

Objective:To analyze the learning curve of TiRobot-assisted lumbar pedicle screw fixation (LPSF) by cumulative sum (CUSUM) test method.Methods:The clinical data of 50 patients who underwent TiRobot-assisted LPSF from January 2020 to December 2022 in Beijing Friendship Hospital, Capital Medical University were retrospectively analyzed. CUSUM analysis and learning curve fitting were performed with robot usage time as the main indicator with the time for each step refined (robot registration time, path planning time and guide wire placement time), to select the best learning curve fitting model with the R2 value closest to 1. Using the turning point of the learning curve as the boundary, the learning curve was divided into two stages as learning stage and maturity stage, and then the observation indexes were compared between the two stages. Results:All 50 patients successfully completed the surgery without perioperative complications, with a total of 244 pedicle screws implanted. The total robot usage time and robot registration time showed a gradually decreasing trend with the increase of case number, and the learning curves were successfully fitted and reached their peaks at the seventeenth and thirteenth cases respectively. The entire learning process was divided into learning stage (17 cases) and maturity stage (33 cases) based on the turning point of the learning curve of total robot usage time. The path planning time and guide wire placement time did not show significant changes with the increase in the case number. The total robot usage time, robot registration time and the intraoperative blood loss in the learning stage were significantly higher than those in the maturity stage: (35.35 ± 1.58) min vs. (30.61 ± 0.43) min, (20.83 ± 1.56) min vs. (14.94 ± 0.29) min and 400 (150, 500) ml vs. 200 (110, 300) ml, the guide wire placement time of per screw was significantly lower than that in the maturity stage: 2.00 (1.83, 2.34) min/screw vs. 2.33 (2.13, 2.69) min/screw, and there were statistical differences ( P<0.05 or <0.01). There were no statistical difference in the path planning time, path planning time of per screw, guide wire placement time and the accuracy of screw placement between two stages ( P>0.05). Conclusions:TiRobot-assisted LPSF is a new technology with safety and effectiveness, and it has a relatively short learning curve. To achieve technological maturity, at least 17 surgeries are required with accumulated experience, and the robot registration is the main step of the learning process. After reaching maturity stage, the robot usage time is significantly shortened and intraoperative trauma is significantly reduced while the relatively high screw placement accuracy is ensured.

OBJECTIVES: To investigate the medium- and long-term efficacy of percutaneous mechanical thrombectomy (PMT) combined with stent implantation for treatment of iliac vein stenosis with lower extremity deep venous thrombosis (LEDVT). METHODS: Clinical and follow-up data of 125 patients with iliac vein stenosis and LEDVT who underwent PMT and stent implantation at five hospitals in northern Zhejiang province from January 2017 to June 2021 were collected. The thrombus clearance rate, thrombus recurrence rate, patency rate of iliac vein stents and post-thrombotic syndrome (PTS) occurrence rate were documented, and safety indicators such as bleeding, death, pulmonary embolism, stent fracture and displacement were assessed. RESULTS: Among 125 patients, for clearance of limb thrombosis, there were 8 cases of grade I (6.4%), 10 cases of grade II (8.0%), and 107 cases of grade III (85.6%). Patients were followed up for a median period of 74 months. According to the Villalta score, the recurrence rates of limb thrombosis at 12, 24 and 36 months were 8.48%, 8.93% and 10.91%; the iliac vein patency rates were 91.52%, 91.07%, and 89.09%; and the incidences of PTS were 5.08%, 5.36% and 6.36%, respectively. There were no major adverse events such as death, massive pulmonary embolism or severe hepatic and renal insufficiency, and no readmission intervention events due to stent fracture or other incidence were found. CONCLUSIONS PMT combined with iliac vein stent implantation is effective for patients with iliac vein stenosis complicated by LEDVT with good medium- and long-term efficacy and safety, which is worthy of clinical application.
Humans ; Stents ; Iliac Vein/pathology* ; Venous Thrombosis/surgery* ; Thrombectomy/methods* ; Female ; Male ; Middle Aged ; Aged ; Adult ; Constriction, Pathologic/surgery* ; Treatment Outcome ; Follow-Up Studies

Objective:To analyze the reoperation rate and causes during the early adoption phase of unilateral biportal endoscopy (UBE).Methods:The clinical data of 180 patients who underwent UBE performed by a single surgeon at Beijing Friendship Hospital, Capital Medical University from October 2021 to June 2023 were retrospectively analyzed. Clinical and imaging data of patients who underwent reoperation were collected to analyze the causes of reoperation, and the clinical efficacy of the reoperations was also followed up. Measurement data were expressed as mean ± standard deviation ( ± s), and t-test was used before and after treatment. Results:A total of 180 patients who underwent UBE were included in this study, of which 6 patients underwent reoperation, and the reoperation rate was 3.33%. Among them, 3 cases occurred in the first 90 surgeries and the other 3 occurred in the subsequent 90 surgeries. The causes of reoperation were as follows: recurrent lumbar disc herniation at the same segment postoperatively in 2 cases, insufficient decompression in 2 cases, disc herniation following isolated decompression in 1 case, and immediate postoperative perianal numbness in 1 case. The time between the initial surgery and reoperation ranged from 0 to 187 days, with an average of 63.3 days. The average follow-up time after reoperation was 18.3 months. The visual analogue scale (VAS) and Oswestry disability index (ODI) scores of the patients at the last follow-up were significantly improved compared with those before operation (VAS score of low back pain: 5.2 ± 1.7 before operation, 1.2 ± 0.8 at the last follow-up, P<0.001; VAS score of leg pain: 7.2 ± 1.5 before operation, 1.2 ± 1.2 at the last follow-up, P<0.001; ODI score: 67.3 ± 5.7 before operation, 20.2 ± 8.2 at the last follow-up, P<0.001). The postoperative modified MacNab scores were generally satisfactory (4 cases were rated as excellent, accounting for 66.7%; 2 cases were rated as good, accounting for 33.3%). Except for one patient who experienced dural injury during open revision surgery, there were no serious complications such as nerve damage. Conclusions:In the early stages of UBE surgery, recurrent lumbar disc herniation and inadequate decompression are the primary reasons for reoperation, typically occurring within the first three months postoperatively. Reoperation does not significantly increase the risk of nerve injury. Enhanced early postoperative follow-up is recommended. For symptomatic patients, a second surgery with thorough decompression can yield satisfactory treatment outcomes.

Objective To evaluate the transition rules of normal body mass index(BMI),overweight and metabolic syndrome(MetS)in patients with major depressive disorder(MDD).Methods Patients with MDD who had multiple admission records between Jan 2016 and Nov 2021 in Beijing Anding Hospital,Capital Medical University were included.Based on the overweight and metabolic syndrome status assessed at each admission,the patients were categorized into three states:normal BMI,overweight and metabolic syndrome.A multi-state Markov model was used to analyze the transition intensity and transition frequency between three states and the influence of covariates on transitions.Results A total of 892 records of 398 subjects were included,with a median age of 56 years old and 31.4% males.The median follow-up period was 40 months.The multi-state model showed that there were 494 transitions between the three states,of which 5.1% moved from normal BMI to overweight and 5.5% moved from overweight to MetS.The intensity of transition was the highest from overweight to MetS,9.52 times greater than overweight to normal BMI.After 48.53 months,MDD patients with normal BMI began to transition to MetS.For overweight MDD patients,the transition to MetS started after 8.77 months.MDD patients with normal BMI or overweight had 31.4% and 50.4% probabilities of developing Mets after 36 months.For MDD patients comorbid with MetS,the probability of staying at MetS was 51.2% after 36 months.Multivariate analysis showed that being unmarried was a risk factor against developing overweight in normal BMI MDD patients,while a higher level of education was a protective factor against developing MetS in overweight MDD patients.Conclusion MDD patients exhibited a higher intensity and risk of developing MetS,and it is not easy to reverse MetS,suggesting that BMI management and MetS intervention should be strengthened in MDD patients.

Objective To investigate the changes of cortical thickness in patients with insomnia disorder(ID).Methods High-resolution MRI data were collected from 32 ID patients(ID group)and 30 healthy controls(HC)(HC group).The cortical thickness of both groups were analyzed using statistical parametric mapping 12(SPM12)software,while considering age,gender,and educational level as covariates.The cortical thickness in brain regions showed statistically significant differences was extracted for Pearson's correla-tion analyses with sleep and mood-related scales.Results Compared with the HC group,the ID group exhibited significantly decreased cortical thickness in brain regions such as the left insula,fusiform gyrus,orbitofrontal lobe,superior temporal gyrus,middle temporal gyrus,lateral occipital lobe and right caudal anterior cingulate gyrus[P＜0.05,family-wise error(FWE)correction].Furthermore,reduced cortical thickness of the cingulate gyrus was negatively correlated with the Pittsburgh sleep quality index(PSQI)score(r=-0.437,P=0.012).Conclusion The cortical thickness of several brain regions associated with sleep and mood are significantly reduced in patients with ID,providing potential neuroimaging evidence for understanding the pathophysiological mechanism of ID.

Cardiovascular surgery is still the preferred treatment for some congenital or acquired cardiovascular diseases.With the aging of China's population and the prevalence of unhealthy lifestyles brought about by the improvement of living standards,the burden of cardiovascular diseases is still steadily increasing and the volume of cardiovascular surgery continues to be at a high level,which puts forward a new demand for the prevention and treatment strategy of cardiovascular diseases and the allocation of medical resources.Cardiovascular surgery has many perioperative complications and high risk of mortality,a scientific surgical complexity scoring system can help clinicians fully assess the difficulty of surgery,stratify the risk of patient surgery,and formulate targeted and personalized diagnosis and treatment plans;meanwhile,it can help the health management department accurately grasp the overall diagnosis and treatment level of China's cardiovascular surgery,monitor the quality of medical care and provide a reference for the formulation and implementation of relevant medical policies.In this study,we systematically review the current status of evidence-based research on different cardiovascular surgical complexity assessment systems and summarize the application of machine learning in cardiovascular surgical assessment,with a view to contributing to the establishment of a cardiovascular surgical complexity assessment system applicable to the Chinese population.

ObjectiveTo analyze the application of International Standards for Neurological Classification of Spinal Cord Injury (ISNCSCI) in China. MethodsResearches using ISNCSCI in the spinal cord injury were retrieved from CNKI, from January 1st, 2020 to December 31st, 2022. The authors and the keywords of the included literatures were analyzed using VOSviewer and CiteSpace to generate a collaboration network graph of authors and a theme distribution map of keywords. The objects, purposes, causes of spinal cord injury, distribution of researchers' departments, ISNCSCI version used, corresponding publication time and other information of the included studies were manual searched and analyzed. ResultsA total of 285 literatures were finally included, involving 1 279 authors, out of whom 111 published 97.19% of the total number of articles. The main keywords included spinal cord injury, spinal fractures, neurological function, thoracolumbar fractures and spinal tuberculosis, which classified in seven clusters, and the topics of spinal cord injury, efficacy, spinal fractures, quality of life and prognosis were the hotspots in the field. With manual searching, the main topic was spinal cord injury; the main object was traumatic spinal cord injury; the main purpose was to evaluate the surgical efficacy; the research institutions were mostly the comprehensive hospitals or specialized hospitals focusing on orthopedics (spinal surgery); the clinical departments that used ISNCSCI the most were orthopedics (including spinal surgery) and rehabilitation medicine, and nursing teams were paying more attention to ISNCSCI; the most commonly used versions of ISNCSCI were 2011 (7th edition) and 2000 (6th edition), however, for a large number of articles, the versions were not clear or earlier than 2000. ConclusionThe application of ISNCSCI in China should be improved in the standardization.