Objective To analyze the current status of physical activity level and its influencing factors in parturients with advanced paternal age at 6 months postpartum,and to explore the correlation between physical activity level and the incidence of overweight/obesity.Methods A total of 399 par-turients with advanced paternal age were included as study subjects.Surveys were conducted using the International Physical Activity Questionnaire-Long Form,the Edinburgh Postnatal Depression Scale,the Pittsburgh Sleep Quality Index,and the Family Support Rating Scale.Univariate analysis and bina-ry Logistic regression analysis were used to investigate the influencing factors of physical activity level in parturients with advanced paternal age at 6 months postpartum.Spearman correlation analysis was used to explore the correlation between physical activity level and the incidence of overweight/obesity.Results Among the parturients with advanced paternal age at 6 months postpartum,134 cases(33.6％)and 265 cases(66.4％)were at low and moderate physical activity levels respectively,with no cases at a high physical activity level.The body mass at 6 months postpartum was(61.31±8.16)kg,and the body mass index(BMI)was(23.57±2.39)kg/m2.The incidence of over-weight/obesity was 42.9％.A negative correlation was observed between the physical activity level and the incidence of overweight/obesity in parturients with advanced paternal age at 6 months postpar-tum(r=-0.566,P＜0.001).There were significant differences in postpartum physical activity levels among with parturients with advanced paternal age at different pre-pregnancy BMI,sleep qualities,and family supports(P＜0.05).Conclusion A higher physical activity level at 6 months postpar-tum in parturients with advanced paternal age is associated with a lower incidence of overweight/obe-sity.The physical activity level is comprehensively influenced by pre-pregnancy BMI,sleep quality,and family support.

Objective:To explore the feasibility of autosegmentation and reconstruction of interstitial needles in intracavitary / interstitial brachytherapy (IC-ISBT) for cervical cancer based on deep learning.Methods:The data of 180 treatment plans from 98 patients who received IC-ISBT were retrospectively collected and divided into the training, validation, and testing sets in a 16:1:1 ratio. Masks of needles were created using the dwell positions of radiation sources, and a 3D U-Net model was trained. The performance of the model was evaluated using the Dice similarity coefficient (DSC). Absolute and relative accuracy rates were used to assess the results of this method, and the position bias was used to evaluate the precision of predictions in the transversal plan of CT scans. Wilcoxon rank-sum test was performed to evaluate the reconstruction efficiency by comparing the time required for automated versus manual reconstruction.Results:DSC of the model was 0.93 ± 0.02. The absolute and relative accuracy rates were 0.44 ± 0.09 and 0.95 ± 0.03, respectively. The distance deviation on the CT horizontal plane was (0.58 ± 0.54) mm. The average time of autosegmentation and reconstruction was (6.2 ± 0.4) s, leading to a significant reduction in time consumption compared with manual construction ( P<0.001). Conclusions:Based on deep learning, using the dwell positions of radiation sources for data annotation, combined with post-processing algorithms, accurate automated segmentation and digital reconstruction of needles in IC-ISBT three-dimensional CT images can be achieved, significantly improving reconstruction efficiency.

Objective:To explore the feasibility of autosegmentation and reconstruction of interstitial needles in intracavitary / interstitial brachytherapy (IC-ISBT) for cervical cancer based on deep learning.Methods:The data of 180 treatment plans from 98 patients who received IC-ISBT were retrospectively collected and divided into the training, validation, and testing sets in a 16:1:1 ratio. Masks of needles were created using the dwell positions of radiation sources, and a 3D U-Net model was trained. The performance of the model was evaluated using the Dice similarity coefficient (DSC). Absolute and relative accuracy rates were used to assess the results of this method, and the position bias was used to evaluate the precision of predictions in the transversal plan of CT scans. Wilcoxon rank-sum test was performed to evaluate the reconstruction efficiency by comparing the time required for automated versus manual reconstruction.Results:DSC of the model was 0.93 ± 0.02. The absolute and relative accuracy rates were 0.44 ± 0.09 and 0.95 ± 0.03, respectively. The distance deviation on the CT horizontal plane was (0.58 ± 0.54) mm. The average time of autosegmentation and reconstruction was (6.2 ± 0.4) s, leading to a significant reduction in time consumption compared with manual construction ( P<0.001). Conclusions:Based on deep learning, using the dwell positions of radiation sources for data annotation, combined with post-processing algorithms, accurate automated segmentation and digital reconstruction of needles in IC-ISBT three-dimensional CT images can be achieved, significantly improving reconstruction efficiency.

Retinoblastoma (RB), the most common primary intraocular malignancy in infants and young children, poses a serious threat to visual function and the life of children when systemic metastasis occurs. Circular RNA (circRNA) is a recently discovered class of non-coding RNA that mainly functions as competitive endogenous RNA by regulating gene expression through competing with microRNA. circRNA can function as oncogenes or tumor suppressors, regulating various biological processes in RB cells, such as proliferation, migration, apoptosis, autophagy, and drug resistance, thereby providing new therapeutic targets for RB. In addition, the differential expression of circRNA in tumor tissues or exosomes is expected to be a potential biomarker for RB. Further studies and explorations are still needed for the functions and regulatory mechanisms of circRNA in RB to reveal their precise roles in organisms and potential clinical applications.

Objective:To analyze the satisfaction of elderly outpatient experience, based on a satisfaction questionnaire survey of outpatients in public hospitals, for references to improve the medical experience of elderly patients.Methods:This study extracted the satisfaction survey questionnaires for outpatients in second level and above public hospitals nationwide from the National Health Commission′s satisfaction survey platform from 2019 to 2022. The questionnaire content included six dimensions: registration experience, doctor-patient communication, nurse-patient communication, environment and labeling, privacy protection, and medical staff response, as well as overall satisfaction. The satisfaction, relative satisfaction, and dissatisfaction rates of elderly outpatients were analyzed using standardized assignment of question options, etc; T-test was used for inter group comparison.Results:A total of 10.095 7 million outpatient satisfaction questionnaires were included in this study, including 0.576 3 million questionnaires for elderly outpatients. From 2019 to 2022, the overall satisfaction of outpatients had been increasing year by year, and the overall satisfaction scores of elderly patients were significantly higher than that of non-elderly patients( P<0.01). The satisfaction scores of elderly patients in the nurse communication dimension(86.55 to 91.03 points) and relative satisfaction(1.000) were the higher in each year, while the satisfaction scores in the environment and identification dimension(81.05 to 86.03 points) and relative satisfaction(0.935 to 0.955) were lower. In 2019 and 2022, elderly patients had higher dissatisfaction rates in the two dimensions of registration experience(2.26%, 1.91%) and doctor communication(0.80%, 0.53%). Conclusions:From 2019 to 2022, the overall satisfaction of elderly patients in secondary and above public hospitals in China was relatively higher with a steady increasing tendency. However, there was still room for further improvement in the environment and labeling, cultural construction, and registration experience for elderly patients.

ObjectiveTo study the effects of Huangjing Jiannao granules on learning and memory abilities and cerebral blood flow in the rat model of vascular cognitive impairment （VCI） and to explore the mechanism of Huangjing Jiannao granules in the treatment of VCI. MethodSeventy-two SPF-grade male SD rats were randomly selected， with 12 rats as the sham operation group. The remaining rats were subjected to bilateral carotid artery ligation （2-VO） for the modeling of VCI. According to the randomized block design， the successfully modeled rats were grouped as follows： model， donepezil hydrochloride （0.50 mg·kg^-1）， and low-， medium-， and high-dose （2.36， 4.72， 9.44 g·kg^-1， respectively） Huangjing Jiannao granules. After 6 weeks of treatment， Morris water maze test and new object recognition test were conducted to evaluate the learning and memory abilities of the rats. After continuous gavage for 8 weeks， the cerebral blood flow was recorded by a laser microcirculation blood flow imager， and the survival and injury of hippocampal neurons were observed by Nissl staining. The expression of neuronal nuclear antigen （NeuN） in the hippocampus was detected by immunohistochemistry （IHC）. The levels of interleukin-1β （IL-1β） and tumor necrosis factor-α （TNF-α） in the serum were determined by enzyme-linked immunosorbent assay. The protein levels of phosphatidylinositol 3-kinase （PI3K）， phosphorylated protein kinase B （p-Akt）， nuclear factor-κB p65 （NF-κB p65）， and nuclear factor-κB inhibitor α （IκBα） in the hippocampus were determined by Western blot. ResultCompared with the sham operation group， the model group showed weakened learning and memory abilities （P<0.01）， reduced blood flow in the whole brain， forebrain， and hindbrain （P<0.01）， damaged neurons and reduced survived neurons in the hippocampal CA1 region （P<0.01）， down-regulated expression of NeuN （P<0.01）， elevated levels of IL-1β and TNF-α in the serum （P<0.01）， up-regulated protein levels of PI3K， p-Akt， and NF-κB p65 in the hippocampal tissue， and down-regulated protein level of IκBα （P<0.01）. Compared with the model group， medium- and high-dose Huangjing Jiannao granules improved the learning and memory abilities （P<0.05，P<0.01）. High-dose Huangjing Jiannao granules increased the blood flow in the whole brain， forebrain， and hindbrain （P<0.05，P<0.01）， and medium-dose Huangjing Jiannao granules increased the blood flow in the whole brain （P<0.05）. All the doses of Huangjing Jiannao granules increased the number of survived neurons （P<0.05，P<0.01） and up-regulated the protein level of NeuN （P<0.05，P<0.01）. Medium and high-dose Huangjing Jiannao granules lowered the level of TNF-α （P<0.05，P<0.01）， down-regulated the protein levels of PI3K， p-Akt， and NF-κB p65 （P<0.05，P<0.01）， and up-regulated the protein level of IκBα （P<0.01）. ConclusionHuangjing Jiannao granules can improve the learning and memory abilities and promote the recovery of cerebral blood flow in the rat model of VCI induced by 2-VO by regulating the expression of proteins involved in the PI3K/Akt signaling pathway， inhibiting inflammation， and reducing hippocampal neuron injury.

Objective:To evaluate the outcomes of autologous serum eye drops on persistent corneal epithelial defect caused by neurotrophic keratopathy (NK).Methods:An observational case series study was performed.Twenty patients (20 eyes) diagnosed with NK and persistent corneal epithelial defect were enrolled in Beijing Tongren Hospital from January 2020 to January 2021.The affected eyes were graded according to the severity of the lesion and received individualized comprehensive treatment with domestic autologous serum eye drops as the main therapy.The healing time of the corneal epithelial defect after treatment was recorded.The diameter and area of the defect were marked by corneal fluorescein staining.Changes in the diameter and area of the defect before treatment and at 1, 2, 3, 4 and 8 weeks after treatment were observed by slit lamp microscopy at 10×.Logarithm of the minimum angle of resolution (LogMAR) visual acuity was recorded with a standard logarithmic visual chart before treatment and at 1, 2, 4, 12, and 24 weeks after treatment.Changes in corneal nerve fiber distribution and silk length of corneal perception were assessed by confocal laser scanning microscopy and Cochet-Bonnet esthesiometry, respectively, before treatment and at 4, 12, and 24 weeks after treatment.Influences of corneal defect characteristics on the healing time were analyzed by multiple linear regression analysis.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of Beijing Tongren Hospital Affiliated to Capital Medical University (No.TRECKY2021-110). Written informed consent was obtained from each subject.Results:The corneal epithelial defect was 5.00 (4.00, 5.75) mm in diameter and 15.50 (12.00, 20.00) mm 2 in area before treatment.There were 45% (9/20) with corneal stroma edema and 35% (7/20) with endothelial fold.One diabetic patient with uveitis had a corneal epithelial defect area greater than 8 mm×6 mm and accepted additional corneal clearance and amniotic membrane transplantation after 2 weeks of autologous serum eye drops application.The other 19 patients received autologous serum eye drops therapy.All eyes showed complete recovery.The pretreatment duration of autologous serum eye drops ranged from 2 weeks to 3 months, with a mean of (39.55±25.34) days.The repair time of corneal epithelium ranged from 12 to 42 days, with a mean of (19.68±9.25) days.There were statistically significant differences in corneal defect diameter and area between before and after treatment ( χ2=43.130, 28.265; both at P<0.001). Corneal defect area and diameter decreased at various time points after treatment compared to before treatment, and the differences were statistically significant (all at P<0.05). There were statistically significant differences in LogMAR visual acuity between before and after treatment ( χ2=84.229, P<0.001). LogMAR visual acuity improved at 1, 2, 4, 12, and 24 weeks after treatment compared to pretreatment, and the differences were statistically significant (all at P<0.05). There were statistically significant differences in silk length of corneal perception between before and after treatment ( χ2=55.295, P<0.001). Silk length of corneal perception improved at 4, 12 and 24 weeks compared to pretreatment, and the differences were statistically significant (all at P<0.05). Baseline corneal defect severity grade was positively correlated with healing time ( β=10.55, P=0.032). Corneal defect diameter and area had no influence on the healing time ( β=-2.02, P=0.501; β=0.49, P=0.199). Conclusions:Autologous serum eye drop therapy is safe and effective for persistent corneal defects caused by NK.Re-application of autologous serum eye drops is still effective in individual patients with recurrent corneal defects after discontinuation of serum treatment.It can be combined with surgery for intractable cases.

Objective:To explore the application and teaching effect of artificial intelligence (AI) image recognition education system in standardized training on ultrasound-guided nerve block technique for novice anesthesiology residents.Methods:Forty residents trained in the Department of Anesthesiology of Cancer Hospital of Chinese Academy of Medical Sciences and the Department of Anesthesiology of the Affiliated Hospital of Qingdao University from January 2023 to December 2023 were selected as study subjects, and randomly divided into experimental group (teaching with the AI image recognition education system) and control group (traditional teaching) to undergo training and assessments on the nerve block technique, with 20 residents in each group. The training quality for the two groups was assessed by comparing the clinical practice score, teaching effect evaluation, and teaching quality evaluation. SPSS 23.0 software was used for the t-test and chi-square test on data. Results:Compared with the control group, residents in the experimental group had higher clinical practice scores [(4.65±0.49) vs. (3.60±0.75), P<0.001] and better method mastery [(17.45±1.23) vs. (13.85±1.27), P<0.001], satisfaction with clinical operation [(16.70±1.34) vs. (13.95±1.00), P<0.001], and learning enthusiasm [(17.35±1.50) vs. (13.55±0.94), P<0.001] for the ultrasound-guided nerve block technique. The teaching quality score of the experimental group was higher than that of the control group [(17.30±1.59) vs. (14.25±1.68), P<0.001]. Therefore, the training quality of residents in the experimental group was better than that of the control group. Conclusions:The application of AI image recognition education system in standardized training on the ultrasound-guided nerve block technique improves the teaching quality of teachers, enhances the learning effect of novice anesthesiology residents, and mobilizes learning enthusiasm, which is worthy of further promotion and application.

Objective:To explore the application and teaching effect of artificial intelligence (AI) image recognition education system in standardized training on ultrasound-guided nerve block technique for novice anesthesiology residents.Methods:Forty residents trained in the Department of Anesthesiology of Cancer Hospital of Chinese Academy of Medical Sciences and the Department of Anesthesiology of the Affiliated Hospital of Qingdao University from January 2023 to December 2023 were selected as study subjects, and randomly divided into experimental group (teaching with the AI image recognition education system) and control group (traditional teaching) to undergo training and assessments on the nerve block technique, with 20 residents in each group. The training quality for the two groups was assessed by comparing the clinical practice score, teaching effect evaluation, and teaching quality evaluation. SPSS 23.0 software was used for the t-test and chi-square test on data. Results:Compared with the control group, residents in the experimental group had higher clinical practice scores [(4.65±0.49) vs. (3.60±0.75), P<0.001] and better method mastery [(17.45±1.23) vs. (13.85±1.27), P<0.001], satisfaction with clinical operation [(16.70±1.34) vs. (13.95±1.00), P<0.001], and learning enthusiasm [(17.35±1.50) vs. (13.55±0.94), P<0.001] for the ultrasound-guided nerve block technique. The teaching quality score of the experimental group was higher than that of the control group [(17.30±1.59) vs. (14.25±1.68), P<0.001]. Therefore, the training quality of residents in the experimental group was better than that of the control group. Conclusions:The application of AI image recognition education system in standardized training on the ultrasound-guided nerve block technique improves the teaching quality of teachers, enhances the learning effect of novice anesthesiology residents, and mobilizes learning enthusiasm, which is worthy of further promotion and application.

Pharmacoeconomic evaluation is the essential supporting information for the inclusion of rare disease drugs into medical insurance in China. The accurate measurement of the health state utility of rare diseas is of practical significance to the development of rare disease pharmacoeconomic evaluation. Based on the review of pharmacoeconomic evaluation requirements for rare diseases in some countries/regions, we systematically retrieved the published studies on the measurement of health state utility for 121 rare diseases in China and other countries and regions. We identified 17 591 papers in the initial review, and later selected 230 after screening. We also made a comprehensive analysis of the quality of literature, evaluation content and use of tools for measuring health state utility in rare diseases in China. Finally, we analyzed the challenges in measurement in terms of population, instruments use, and application of results and made recommendations based on analysis, hoping to provide reference for the development of rare disease health state utility measurement studies in China.