AIM: To analyze the factors affecting non-contact intraocular pressure(IOPNCT)measurements after femtosecond laser-assisted small incision lenticule extraction(SMILE), explore the correlation of IOPNCT with central corneal thickness(CCT)and corneal curvature after SMILE, and construct the corresponding regression model which will provide scientific basis for clinical evaluation of the true IOP of patients after SMILE.METHODS: Data from a retrospective analysis of 107 myopic patients(206 eyes)who underwent SMILE and 107 myopic patients(201 eyes)received femtosecond laser-assisted in situ keratomileusis(FS-LASIK)surgery from June 2023 to May 2024 were examined. IOPNCT, CCT, and corneal curvature before surgery and at 1 and 3 mo were collected. The preoperative and postoperative IOPNCT, CCT and corneal curvature were analyzed by ANOVA and Pearson correlation analysis, and multiple linear regression models were constructed to evaluate the association of postoperative changes of IOPNCT, CCT and corneal curvature.RESULTS: There were significant differences in IOPNCT, CCT, and corneal curvature of both SMILE and FS-LASIK patients(all P<0.001), there was no significant difference between two groups and interaction effects(all P>0.05), and the IOPNCT, CCT and corneal curvature at 1 and 3 mo post-surgery were significantly lower than preoperative(all P<0.05). Pearson correlation analysis showed a positive correlation between IOPNCT and CCT at 1 and 3 mo after SMILE(r=0.261, 0.267, all P<0.001), but no significant correlation with corneal curvature(all P>0.05). Multiple linear regression analysis of IOPNCT with CCT and corneal curvature at 1 mo after SMILE indicated that the regression equation was: Y=3.426+0.019X1-0.058X2(Y represents IOPNCT, X1 represents the CCT, and X2 represents the corneal curvature), with statistical significant difference in the equation(F=7.654, P=0.001); the regression equation for 3 mo after surgery was: Y=2.056+0.020X1-0.038 X2(Y represents IOPNCT, X1 represents the CCT, and X2 represents the corneal curvature), with statistically significance in the equation(F=7.903, P<0.001). The regression equation of postoperative IOPNCT change(△IOPNCT)and intraoperative cutting corneal thickness(△CCT)and corneal curvature at 1 mo was Y=-2.252+0.008X1+0.587X2(Y represents △IOPNCT, X1 stands for the △CCT, X2 represents the corneal curvature change value), with statistical significant difference in the equation(F=17.550, P<0.001); the regression equation for 3 mo after surgery was: Y=-2.168+0.024X1+0.281X2(Y represents △IOPNCT, X1 represents △CCT, X2 indicates the corneal curvature change values), with statistical significant difference in the equation(F=16.030, P<0.001).CONCLUSION: After SMILE and FS-LASIK surgery, the IOPNCT value of patients was mainly affected by CCT compared with preoperative surgery, and the short-term use of hormone eye drops, fluorometholone, did not cause a significant increase in IOP; both the IOP correction formula at 1 and 3 mo postoperatively can be used clinically to evaluate and correct actual IOP in patients after SMILE.

AIM: To analyze the factors affecting non-contact intraocular pressure(IOPNCT)measurements after femtosecond laser-assisted small incision lenticule extraction(SMILE), explore the correlation of IOPNCT with central corneal thickness(CCT)and corneal curvature after SMILE, and construct the corresponding regression model which will provide scientific basis for clinical evaluation of the true IOP of patients after SMILE.METHODS: Data from a retrospective analysis of 107 myopic patients(206 eyes)who underwent SMILE and 107 myopic patients(201 eyes)received femtosecond laser-assisted in situ keratomileusis(FS-LASIK)surgery from June 2023 to May 2024 were examined. IOPNCT, CCT, and corneal curvature before surgery and at 1 and 3 mo were collected. The preoperative and postoperative IOPNCT, CCT and corneal curvature were analyzed by ANOVA and Pearson correlation analysis, and multiple linear regression models were constructed to evaluate the association of postoperative changes of IOPNCT, CCT and corneal curvature.RESULTS: There were significant differences in IOPNCT, CCT, and corneal curvature of both SMILE and FS-LASIK patients(all P<0.001), there was no significant difference between two groups and interaction effects(all P>0.05), and the IOPNCT, CCT and corneal curvature at 1 and 3 mo post-surgery were significantly lower than preoperative(all P<0.05). Pearson correlation analysis showed a positive correlation between IOPNCT and CCT at 1 and 3 mo after SMILE(r=0.261, 0.267, all P<0.001), but no significant correlation with corneal curvature(all P>0.05). Multiple linear regression analysis of IOPNCT with CCT and corneal curvature at 1 mo after SMILE indicated that the regression equation was: Y=3.426+0.019X1-0.058X2(Y represents IOPNCT, X1 represents the CCT, and X2 represents the corneal curvature), with statistical significant difference in the equation(F=7.654, P=0.001); the regression equation for 3 mo after surgery was: Y=2.056+0.020X1-0.038 X2(Y represents IOPNCT, X1 represents the CCT, and X2 represents the corneal curvature), with statistically significance in the equation(F=7.903, P<0.001). The regression equation of postoperative IOPNCT change(△IOPNCT)and intraoperative cutting corneal thickness(△CCT)and corneal curvature at 1 mo was Y=-2.252+0.008X1+0.587X2(Y represents △IOPNCT, X1 stands for the △CCT, X2 represents the corneal curvature change value), with statistical significant difference in the equation(F=17.550, P<0.001); the regression equation for 3 mo after surgery was: Y=-2.168+0.024X1+0.281X2(Y represents △IOPNCT, X1 represents △CCT, X2 indicates the corneal curvature change values), with statistical significant difference in the equation(F=16.030, P<0.001).CONCLUSION: After SMILE and FS-LASIK surgery, the IOPNCT value of patients was mainly affected by CCT compared with preoperative surgery, and the short-term use of hormone eye drops, fluorometholone, did not cause a significant increase in IOP; both the IOP correction formula at 1 and 3 mo postoperatively can be used clinically to evaluate and correct actual IOP in patients after SMILE.

By analyzing the current application of multi-modal data in the diagnosis of gastric "inflammation-cancer" transformation， this study explored the feasibility and strategies for constructing a disease-syndrome integrated diagnosis and treatment system. Based on traditional Chinese medicine （TCM） phenomics， we proposed utilizing multi-modal data from literature research， cross-sectional studies， and cohort follow-ups， combined with artificial intelligence technology， to establish a multi-dimensional diagnostic and treatment index system. This approach aims to uncover the complex pathogenesis and transformation patterns of gastric "inflammation-cancer" progression. Additionally， by dynamically collecting TCM four-diagnostic information and modern medical diagnostic information through a long-term follow-up system， we developed three major modules including information extraction， multi-modal phenotypic modeling， and information output， to make it enable real-world clinical data-driven long-term follow-up and treatment of chronic atrophic gastritis. This system can provide technical support for clinical diagnosis， treatment evaluation， and research， while also offering insights and methods for intelligent TCM diagnosis.

Objective: To explore the long term trend of forced vital capacity to weight index (FWI) among Chinese Han students aged 7-18 from 2000 to 2019, and to predict its changes over the next decade, so as to provide scientific evidences for targeted health interventions and school health policies. Methods: Based on the data of the five Chinese National Surveys on Students Constitution and Health conducted from 2000 to 2019, a total of 216 500, 233 565, 215 267, 214 256 and 212 632 Han students aged 7-18 were included, respectively. The long term trend of FWI among students was analyzed, and the GM (1,1) grey model was used to predict FWI changes over the next decade. Subgroup analyses were conducted by sex, age, and urban-rural residence. Results: The FWI levels of Chinese Han students aged 7-18 were (55.30±11.47)(47.43±11.92)(48.11±12.46)(48.75±12.81)(50.93±13.11)mL/kg in 2000, 2005, 2010, 2014, and 2019, respectively. The FWI of Chinese Han students showed a decreasing then increasing trend from 2000 to 2019, reaching the lowest point of approximately 47.03 mL/kg around 2006, and was projected to recover to 52.88 mL/kg by 2029. Boys had higher FWI for each year and the total level than girls from 2000 to 2019( t =72.58-304.66), and the decline between 2000 and 2005 was smaller in boys (13.1%) than in girls (15.4%). However, the gender gap gradually narrowed and was projected to reduce to 5.36 mL/kg by 2029. FWI increased with age, with the largest difference observed in 2014 between the 7-9 and 16-18 age groups (8.62 mL/kg). Before 2014, urban boys had slightly lower FWI than rural boys; the gap narrowed thereafter, and their FWI levels were expected to become similar by 2029. Urban girls generally had higher FWI than rural girls, and the urban-rural gap showed an increasing trend. By 2029, the largest difference was projected to occur in the 13-15 age group, reaching 7.74 mL/kg. Conclusions The FWI of Chinese Han students showed a trend of initial decline followed by a gradual increase from 2000 to 2019, with notable differences across sex, age, and urban-rural residence. Greater attention should be paid to the respiratory health of rural girls, and effective measures should be taken to reduce urban-rural disparities.

Objective To assess the situation and influencing factors of occupational burnout among the staff at the Center for Disease Control and Prevention (CDC) in Sichuan Province. Methods A total of 1 038 CDC staff members in Sichuan Province were selected as the study subjects using the stratified random sampling method. Occupational burnout of the staff was assessed using the Maslach Burnout Inventory General Survey via an online questionnaire. Results The detection rate of occupational burnout was 42.3% (439/1 038). Binary logistic regression analysis result showed that, after controlling for confounding factors such as education level and alcohol consumption, CDC staffs aged at 20-<31, 31-<41, and 41-<51 years were at higher risk of occupational burnout compared with those ≥51 years (all P<0.05). CDC staffs with 5-<10 or ≥10 years of service had higher occupational burnout risk compared with those with <5 years (both P<0.05). CDC staffs with poor or fair health status, irregular diet, and poor sleep quality had higher risk of occupational burnout compared with those healthy, have regular diet, and good sleep quality (all P<0.05). The risk of occupational burnout increased with higher overtime frequency (all P<0.05). Conclusion Occupational burnout among CDC staffs in Sichuan Province is relatively high. Age, years of service, health status, diet, sleep quality, and overtime frequency are key influencing factors.

Humans ; Aged ; Lung Diseases ; Pneumonia/drug therapy* ; Adrenal Cortex Hormones/therapeutic use* ; Pulmonary Disease, Chronic Obstructive/drug therapy* ; Administration, Inhalation ; Community-Acquired Infections/drug therapy*

BACKGROUND:Ligaments are important structures in maintaining the stability of the lumbar spine,and these structures are prone to degradation due to the generated mechanical stress.However,there are few studies on ligament injuries. OBJECTIVE:To determine the range of motion and stress of each ligament in the state of motion based on a three-dimensional finite element model,and to systematically explore the influence of ligament injury on the stability of the lumbar spine and its biomechanical significance. METHODS:The L4-L5 lumbar finite element model was established.All free forces on the lower surface of L5 were constrained,and a torque of 5 N·m was applied to simulate the motion states of the lumbar spine.Progressive ligament damage was simulated by changing Young's modulus of the ligament. RESULTS AND CONCLUSION:(1)The extension range of motion of most ligament injuries increased significantly.In contrast,there was no significant change in the lateral bending range of motion.(2)The range of motion of capsular ligament injury increased significantly in flexion,extension and lateral bending.The extension range of motion increased significantly after the anterior longitudinal ligament injury.Intertransverse ligament injury resulted in a significant increase in the lateral bending range of motion.(3)After a single ligament injury,the most significant change in range of motion was observed during extension.After a single ligament injury,the stress of the remaining ligaments increased,especially the capsular ligament.The stress changes of the interspinous ligament and ligamentum flavum were the least obvious.Ligament stress changes least in lateral bending and most in torsion.(4)Ligament damage did not result in major changes in disc pressure,indicating that ligament injury leads to an increased range of motion of the lumbar spine and affects the stability of the lumbar spine.(5)Capsular ligament was stable in flexion,extension and lateral bending.The anterior longitudinal ligament showed a stable extension;the intertransverse ligament stabilizes the lateral curve.(6)Extension exercise is sensitive to a ligament injury,and the pathological changes of the ligament can be examined by extension exercise.(7)Stress compensation was given to the remaining ligaments to maintain the stability of the lumbar spine after a single ligament injury.(8)Interspinous ligament and ligamentum flavum injuries have the least impact on the peripheral ligaments,while capsular ligament injuries have the greatest impact on the peripheral ligaments.(9)The ligament injury has the least effect on the residual ligament stress during lateral bending exercise,while it has the greatest effect on the ligament stress during the twisting exercise.Patients with ligament injury should avoid twisting exercises.Ligament injuries do not affect disc pressure.

Objective:Distribution and antibiotic resistance of pathogen isolated from children with intra-abdominal infection (IAI) associated sepsis in the intensive care unit (ICU) were analyzed to provide a reference for the empirical anti-infective treatment of IAI in children.Methods:We retrospectively analyzed the data of 116 children with culture-positive IAI-associated sepsis admitted to Children's Hospital of Zhejiang University School of Medicine from January 2019 to December 2021. Clinical isolation and drug resistance analysis were conducted based on different years of onset, locations of onset, and primary diseases.Results:A total of 186 strains of pathogens causing children with IAI-associated sepsis in ICU were collected. The distribution and antibiotic resistance of pathogen were as follows: the percentages of gram-positive bacteria, gram-negative bacteria, and fungi were 53.2%, 40.9%, and 5.9%, respectively; the top four strains were Enterococcus faecium, Escherichia coli, Klebsiella pneumoniae, and Enterococcus faecalis, accounting for 57.0% of all isolates; Enterococcus faecium(19.9%) and Enterococcus faecalis (10.2%) were the dominating gram-positive bacteria; Escherichia coli (13.4%) and Klebsiella pneumoniae (13.4%) were more common gram-negative bacteria; Fungi were dominated by Candida albicans (3.8%).Fifty-seven strains of gram-positive bacteria were detected in 61 children with infectious diseases, mainly Enterococcus faecium (28 strains). There were 53 gram-negative strains, mainly Klebsiella pneumoniae (21 strains). Thirty-two strains of gram-positive bacteria were detected in 40 children with digestive tract malformation, and Enterococcus faecalis (six strains) were the most common. There were 14 gram-negative strains, mainly Escherichia coli (six strains). In 13 children with malignant tumors of digestive system, nine strains of gram-positive bacteria were cultured, and Enterococcus faecium (four strains) was the most common. There were eight gram-negative strains, mainly Escherichia coli (four strains).In the 46 community-acquired IAI patients,30 gram-positive isolates were cultured,mainly including Enterococcus faecium (12 strains), Staphylococcus epidermidis (seven strains), and Viridans streptococci (six strains); Forty gram-negative isolates mainly contained Escherichia coli (16 strains), Klebsiella pneumoniae (14 strains), and Enterobacter cloacae (five strains). In the 70 hospital-associated IAI patients, 69 gram-positive isolates such as Enterococcus faecium (25 strains), Enterococcus faecalis (17 strains), Enterococcus gallinarum (eight strains), and Staphylococcus aureus (seven strains) were cultured;Tirty-six gram-negative isolates were dominated by Klebsiella pneumoniae (11 strains), Escherichia coli (nine strains), Pseudomonas aeruginosa (four strains), and Acinetobacter baumannii (four strains). The mixed infection rate of clinical pathogens was up to 46.6%, and the overall resistance rate was 43.4%, in which gram-negative bacteria had high sensitivity to piperacillin/tazobactam, cefoperazone/sulbactam, imipenem, and tigecycline.The detection rates of Klebsiella pneumoniae and Escherichia coli producing extended-spectrum β-lactamases were 36.0% and 24.6%, respectively, with 100% sensitivity to tigecycline. Gram-positive bacteria showed 100% sensitivity to vancomycin, linezolid, and tigecycline. Conclusion:Pathogen isolated from children with IAI-associated sepsis in ICU were dominated by Enterococcus faecium, Escherichia coli, Klebsiella pneumoniae, and Enterococcus faecalis,respectively. Before confirmation of pathogenic bacteria, antibacterial agents can be selected according to the infection type. It is important to note that a single broad-spectrum antibacterial agent or combination medication can be considered the initial empirical choice due to the large variety of pathogens, high rates of mixed infections, and high overall resistance.

Ankylosing spondylitis (AS) combined with lower cervical fracture is often categorized into unstable fracture, with a high incidence of neurological injury and a high rate of disability and morbidity. As factors such as shoulder occlusion may affect the accuracy of X-ray imaging diagnosis, it is often easily misdiagnosed at the primary diagnosis. Non-operative treatment has complications such as bone nonunion and the possibility of secondary neurological damage, while the timing, access and choice of surgical treatment are still controversial. Currently, there are no clinical practice guidelines for the treatment of AS combined with lower cervical fracture with or without dislocation. To this end, the Spinal Trauma Group of Orthopedics Branch of Chinese Medical Doctor Association organized experts to formulate Clinical guidelines for the treatment of ankylosing spondylitis combined with lower cervical fracture in adults ( version 2024) in accordance with the principles of evidence-based medicine, scientificity and practicality, in which 11 recommendations were put forward in terms of the diagnosis, imaging evaluation, typing and treatment, etc, to provide guidance for the diagnosis and treatment of AS combined with lower cervical fracture.

BACKGROUND:Ligaments are an important structure for stabilizing the lumbar spine,and they are prone to degenerative changes with age.Currently,there is limited research on lumbar ligaments. OBJECTIVE:To investigate the effect of different combinations of ligament injuries on biomechanical characteristics of lumbar spine under four motion states of forward bending,backward extension,lateral bending,and torsion under a certain sequence of ligament injuries. METHODS:A finite element model of the L4-L5 segment of the lumbar spine was established,and corresponding moments were applied to simulate four motion states of forward bending,backward extension,lateral bending,and torsion.The combined injuries of the ligaments were performed in order to obtain the motion range of each vertebra and the stress of each ligament. RESULTS AND CONCLUSION:(1)Every time a ligament was removed,the remaining ligament stress would increase.Under all four working conditions,capsular ligament would experience the highest stress,especially during forward bending.With the removal of ligaments,the range of motion of the vertebrae was also continuously increasing.(2)When flexing forward,after removing the first ligament capsular ligament,the average stress change in the remaining ligament was the highest,followed by the removal of supraspinous ligament.After removing capsular ligament,the change rate of range of motion was the highest,while after removing posterior longitudinal ligament,the change rate of range of motion was the lowest.(3)When extending backward,all ligaments had the highest rate of stress change after removing capsular ligament,the highest rate of range of motion change after removing capsular ligament,and the lowest rate of range of motion change after removing posterior longitudinal ligament.(4)When bending,the stress change rate of interspinous ligament decreased after removing intertransverse ligament,while supraspinous ligament increased more.After removing capsular ligament and interspinous ligament,the range of motion change rate increased significantly.(5)During lateral bending,after removing capsular ligament,the stress change rate of the remaining ligament was much higher than that of other ligament damage combinations,and the range of motion change rate was the highest after removing capsular ligament.In other cases,the range of motion change rate did not exceed 8%.(6)If the root ligament is damaged,the remaining ligaments will undergo stress compensation.Ligament damage will affect the stability of the lumbar spine,with minimal impact in cases of lateral curvature.Patients with lumbar instability should avoid forward flexion and backward extension movements,which can make it easier to detect the pathological condition of the ligaments.(7)Capsular ligament is an important structure for maintaining lumbar stability,and supraspinous ligament plays a significant role in anterior flexion,maintaining the integrity of the entire lumbar ligament.