BACKGROUND:Impaired postural control is an important risk factor for falls and secondary damage in patients with idiopathic normal pressure hydrocephalus.Most of the existing studies have analyzed the gait parameters of patients during straight-line walking,but few have analyzed the postural stability characteristics of patients during static and dynamic activities. OBJECTIVE:To analyze the characteristics of postural stability in elderly patients with idiopathic normal pressure hydrocephalus. METHODS:Twenty-two patients clinically diagnosed with idiopathic normal pressure hydrocephalus at the Department of Neurosurgery,Huadong Hospital Affiliated to Fudan University,Shanghai,China,from September 2022 to February 2023 were selected as the patient group,and 18 healthy accompanying family members were selected as the healthy control group.The postural stability characteristics of the subjects were assessed using the Timed Up-and-Go Test,Multi-Directional Reach Test,Berg Balance Scale,and Static Balance Function Test(reaction time,speed of movement,directional control,maximum offset distance,and endpoint travel). RESULTS AND CONCLUSION:The time required to complete the Timed Up-and-Go Test was significantly longer in the patient group than in the healthy control group(P＜0.05).The results of the stretching test in the four directions of anterior,posterior,leftand right were significantly lower in the patient group than in the healthy control group(P＜0.05).The Berg Balance Scale scores in the patient group were lower than those in the healthy control group(P＜0.05).In the Static Balance Function Test,the results of reaction,movement speed,directional control,maximum offset distance and endpoint travel index were smaller in the patient group than the healthy control group(P＜0.05).To conclude,patients with idiopathic normal pressure hydrocephalus exhibit overall postural control deficits,and impaired reaction and execution abilities make these patients unable to make timely and accurate motor responses in the face of disturbances from internal or external sources,resulting in postural instability and increasing the risk of falls.

BACKGROUND:Previous studies have found that neohesperidin can delay bone loss in ovariectomized mice and has the potential to treat osteoporosis,but its specific mechanism of action remains to be explored. OBJECTIVE:To explore the key targets and possible mechanisms of neohesperidin in the treatment of osteoporosis based on bioinformatics and cell experiments in vitro. METHODS:The gene expression dataset related to osteoporosis was obtained from GEO database,and the differentially expressed genes were screened and analyzed in R language.The osteoporosis-related targets were screened from GeneCards and DisGeNET databases,and the neohesperidin-related targets were screened from ChEMBL and PubChem databases,and the common targets were obtained by intersection of the three.The String database was used to construct the PPI network of intersection genes,and the key targets were screened.The DAVID database was used for GO and KEGG enrichment analysis.The AutoDock software was used to verify the molecular docking between the neohesperidin and the target protein.The effect of neohesperidin on osteogenic differentiation of C57 mouse bone marrow mesenchymal stem cells was detected.Complete medium was used as blank control group;osteogenic induction medium was used as the control group;and osteogenic induction medium containing different concentrations of neohesperidin(25,50 μmol/L)was used as experimental group.The expression of alkaline phosphatase,the degree of mineralization,the expression of osteogenic-related genes and target genes during osteogenic differentiation of cells were measured at corresponding time points. RESULTS AND CONCLUSION:(1)9 253 differentially expressed genes,2 161 osteoporosis-related targets,and 326 neohesperidin-related targets were screened.There were 53 common targets among the three.All 53 genes were up-regulated in osteoporosis samples.The PPI network screened the target gene PRKACA of research significance.GO function and KEGG pathway enrichment analysis showed that neohesperidin's treatment of osteoporosis through PRKACA target mainly depended on biological processes such as protein phosphorylation and protein autophosphorylation,acting on endocrine resistance,proteoglycan in cancer,and estrogen signaling pathway to play a therapeutic role.Molecular docking results showed that neohesperidin had a certain binding ability to the protein corresponding to the target PRKACA.(2)The results of alkaline phosphatase staining showed that neohesperidin could promote the expression of alkaline phosphatase in the early stage of osteogenic differentiation of mesenchymal stem cells.Alizarin red staining showed that neohesperidin could promote the mineralization of osteogenic differentiation of mesenchymal stem cells.RT-qPCR results showed that neohesperidin could increase the mRNA expression of alkaline phosphatase,PRKACA,and osteocalcin.(3)These results indicate that neohesperidin may promote osteogenic differentiation through PRKACA target on the estrogen signaling pathway to prevent and treat osteoporosis.

BACKGROUND:The plantarflexor weakness is a common muscle defect in patients with spastic cerebral palsy and Charcot-Marie-Tooth,which clinically manifests abnormal gaits,and the relationship between plantarflexor weakness and abnormal gaits is unclear. OBJECTIVE:To explore the biomechanical behavior of the lower limb under the action of a single factor of plantarflexor weakness to reveal the mechanism of abnormal gait induced by plantarflexor weakness and to provide guidance for the rehabilitation training of patients with plantarflexor weakness. METHODS:A predictive framework of musculoskeletal multibody dynamics in the sagittal plane was established based on OpenSim Moco to predict lower limb joint angles and muscle activation changes during walking in normal subjects.The validity of the framework was verified by combining the inverse kinematics and electromyogram activation time of the experimental data.Reduced isometric muscle forces were used to model plantarflexor weakness and to compare predicted lower extremity joint angles,joint moments,and muscle energy expenditure with normal subjects to analyze the effects of plantarflexor weakness on lower extremity biomechanics. RESULTS AND CONCLUSION:(1)The Moco-based prediction framework realistically predicted the biomechanical changes of the lower limbs during walking in normal subjects(joint angles:normalized correlation coefficient≥0.73,root mean square error≤7.10°).(2)The musculoskeletal model used a small stride support phase to increase the"heel-walking"gait during plantarflexor weakness.When the plantarflexor weakness reached 80%,the muscle energy expenditure was 5.691 4 J/kg/m,and the maximum activation levels of the gastrocnemius and soleus muscles were 0.72 and 0.53,which might cause the plantarflexor weakness patients to be more prone to fatigue when walking.(3)Muscle energy expenditure was significantly higher when the weakness of plantarflexors exceeded 40%,and the joint angles and moments of the lower limbs deteriorated significantly when the weakness of plantarflexors exceeded 60%,suggesting that there may be a"threshold"for the effect of plantarflexor weakness on gait,which may correspond to the point at which health care professionals should intervene in the clinical setting.

OBJECTIVE To investigate the effects of Tripterygium wilfordii multiglycoside （TWM） on renal injury in diabetic nephropathy （DN） rats through tumor protein p53/microRNA-214 （miR-214）/UNC-51-like kinase 1 （ULK1） axis. METHODS Male SD rats were randomly divided into normal group （n＝6） and modeling group （n＝28）； the modeling group was fed with high fat and high glucose plus intraperitoneal injection of streptozotocin to establish DN model. The modeled rats were randomly divided into model group， valsartan group [8.33 mg/（kg·d）] and TWM group[6.25 mg/（kg·d）]， with 8 rats in each group. Rats in each group were gavaged with the corresponding medication or normal saline， once a day， for 6 consecutive weeks. After the last medication， liver and renal function indexes [24 h urinary total protein （24 h-UTP）， blood urea nitrogen （BUN）， serum creatinine （SCr）， albumin （ALB）， alanine transaminase （ALT）]， blood lipid indexes （triglycerides， total cholesterol） and blood glucose index （fasting blood glucose） in urine/blood sample of rats were detected in each group. Renal pathologic change was observed， protein and mRNA expressions of p53， ULK1， Beclin-1 and microtubule-associated protein 1 light chain 3 （LC3）， and expression of miR-214 in renal tissue were also determined. RESULTS Compared with the normal group， the renal tubular epithelium of rats in the model group showed obvious edema， cell swelling， accompanied by lymphocyte infiltration； the levels of 24h-UTP， BUN， SCr， ALT and glycolipid indexes， the expressions of p53 protein and mRNA， as well as the expression of miR-214 in rats in the model group and administration groups were significantly increased or up-regulated， while ALB level， LC3-Ⅱ/LC3-Ⅰ， the expressions of LC3 mRNA， the expressions of ULK1， Beclin-1 protein and mRNA were significantly decreased or down-regulated （P＜0.01）. Compared with the model group， the histopathological damage of the kidney in rats was improved in administration groups； the levels of 24 h-UTP， BUN， SCr， ALT and glycolipid indexes， the expressions of p53 protein and mRNA， as well as the expression of miR-214 were all significantly decreased or down-regulated， while ALB level， LC3-Ⅱ/LC3-Ⅰ， the expressions of LC3 mRNA， the expressions of ULK1 and Beclin-1 protein and mRNA were significantly increased or up-regulated （P＜0.01）. CONCLUSIONS TG can alleviate renal damage in DN rats， and improve their liver and renal function， as well as glucose and lipid levels. These effects may be related to the regulation of the p53/miR-214/ULK1 axis and the restoration of cellular autophagy.

Stroke ranks as the third leading cause of death and the fourth leading cause of disability worldwide. Its high disability rate and prolonged recovery period not only severely impact patients' quality of life but also impose a significant burden on families and society. Primary prevention is the cornerstone of stroke control, as early intervention on risk factors can effectively reduce its incidence. Therefore, the development of predictive models for first-ever stroke risk holds substantial clinical value. In recent years, advancements in big data and artificial intelligence technologies have opened new avenues for stroke risk prediction. This article reviews the current research status of traditional methods and machine learning models in predicting first-ever stroke risk and outlines future development trends from three perspectives: First, emphasis should be placed on technological innovation by incorporating advanced algorithms such as deep learning and large models to further enhance the accuracy of predictive models. Second, there is a need to diversify data types and optimize model architectures to construct more comprehensive and precise predictive models. Lastly, particular attention should be given to the clinical validation of models in real-world settings. This not only enhances the robustness and generalizability of the models but also promotes physicians' understanding of predictive models, which is crucial for their application and dissemination.

Objective To evaluate the performance of the artificial intelligence (AI)-enabled snail identification system for recognition of Oncomelania hupensis robertsoni and Tricula in schistosomiasis-endemic areas of Yunnan Province. Methods Fifty O. hupensis robertsoni and 50 Tricula samples were collected from Yongbei Township, Yongsheng County, Lijiang City, a schistosomiasis-endemic area in Yunnan Province in May 2024. A total of 100 snail sample images were captured with smartphones, including front-view images of 25 O. hupensis robertsoni and 25 Tricula samples (upward shell opening) and back-view images of 25 O. hupensis robertsoni and 25 Tricula samples (downward shell opening). Snail samples were identified as O. hupensis robertsoni or Tricula by schistosomiasis control experts with a deputy senior professional title and above according to image quality and morphological characteristics. A standard dataset for snail image classification was created, and served as a gold standard for recognition of snail samples. A total of 100 snail sample images were recognized with the AI-enabled intelligent snail identification system based on a WeChat mini program in smartphones. Schistosomiasis control professionals were randomly sampled from stations of schistosomisis prevention and control and centers for disease control and prevention in 18 schistosomiasis-endemic counties (districts, cities) of Yunnan Province, for artificial identification of 100 snail sample images. All professionals are assigned to two groups according the median years of snail survey experiences, and the effect of years of snail survey experiences on O. hupensis robertsoni sample image recognition was evaluated. A receiver operating characteristic (ROC) curve was plotted, and the sensitivity, specificity, accuracy, Youden’s index and the area under the curve (AUC) of the AI-enabled intelligent snail identification system and artificial identification were calculated for recognition of snail sample images. The snail sample image recognition results of AI-enabled intelligent snail identification system and artificial identification were compared with the gold standard, and the internal consistency of artificial identification results was evaluated with the Cronbach’s coefficient alpha. Results A total of 54 schistosomiasis control professionals were sampled for artificial identification of snail sample image recognition, with a response rate of 100% (54/54), and the accuracy, sensitivity, specificity, Youden’s index, and AUC of artificial identification were 90%, 86%, 94%, 0.80 and 0.90 for recognition of snail sample images, respectively. The overall Cronbach’s coefficient alpha of artificial identification was 0.768 for recognition of snail sample images, and the Cronbach’s coefficient alpha was 0.916 for recognition of O. hupensis robertsoni snail sample images and 0.925 for recognition of Tricula snail sample images. The overall accuracy of artificial identification was 90% for recognition of snail sample images, and there was no significant difference in the accuracy of artificial identification for recognition of O. hupensis robertsoni (86%) and Tricula snail sample images (94%) (χ² = 1.778, P > 0.05). There was no significant difference in the accuracy of artificial identification for recognition of snail sample images with upward (88%) and downward shell openings (92%) (χ² = 0.444, P > 0.05), and there was a significant difference in the accuracy of artificial identification for recognition of snail sample images between schistosomiasis control professionals with snail survey experiences of 6 years and less (75%) and more than 6 years (90%) (χ² = 7.792, P < 0.05). The accuracy, sensitivity, specificity and AUC of the AI-enabled intelligent snail identification system were 88%, 100%, 76% and 0.88 for recognition of O. hupensis robertsoni snail sample images, and there was no significant difference in the accuracy of recognition of O. hupensis robertsoni snail sample images between the AI-enabled intelligent snail identification system and artificial identification (χ² = 0.204, P > 0.05). In addition, there was no significant difference in the accuracy of artificial identification for recognition of snail sample images with upward (90%) and downward shell openings (86%) (χ² = 0.379, P > 0.05), and there was a significant difference in the accuracy of artificial identification for recognition of snail sample images between schistosomiasis control professionals with snail survey experiences of 6 years and less and more than 6 years (χ² = 5.604, P_adjusted < 0.025). Conclusions The accuracy of recognition of snail sample images is comparable between the AI-enabled intelligent snail identification system and artificial identification by schistosomiasis control professionals, and the AI-enabled intelligent snail identification system is feasible for recognition of O. hupensis robertsoni and Tricula in Yunnan Province.

ObjectiveTo understand the infection characteristics of multidrug-resistant organisms (MDROs) in hospitalized patients in a tertiary sentinel hospital in Shanghai, so as to provide an evidence for the development of targeted prevention and control measures. MethodsData of MDROs strains and corresponding medical records of some hospitalized patients in a hospital in Shanghai from 2021 to 2023 were collected, together with an analysis of the basic information, clinical treatment, underlying diseases and sources of sample collection. ResultsA total of 134 strains of MDROs isolated from hospitalized patients in this hospital were collected from 2021 to 2023 , including 63 strains of methicillin-resistant Staphylococcus aureus (MRSA), 57 strains of carbapenem-resistant Acinetobacter baumannii (CRAB), and 14 strains of carbapenem-resistant Klebsiella pneumoniae (CRKP). Of the 134 strains, 30 strains were found in 2021, 47 strains in 2022 and 57 strains in 2023. The male-to-female ratio of patients was 2.05∶1, with the highest percentage (70.90%) in the age group of 60‒<90 years. The primary diagnosis was mainly respiratory disease, with lung and respiratory tract as the cheif infection sites. There was no statistically significant difference in the distribution of strains between different genders and infection sites (P>0.05). However, the differences in the distribution of strains between different ages and primary diagnosis were statistically significant (P<0.05). Patients who were admitted to the intensive care unit (ICU), had urinary tract intubation, were not artery or vein intubated, were not on a ventilator, were not using immunosuppresants or hormones, and were not applying radiotherapy or chemotherapy were in the majority. There was no statistically significant difference in the distribution of strains for whether received radiotherapy or chemotherapy or not (P>0.05), while the differences in the distribution of strains with ICU admission history, urinary tract intubation, artery or vein intubation, ventilator use, and immunosuppresants or hormones use or not were statistically significant (all P<0.05). The type of specimen was mainly sputum, the hospitalized ward was mainly comprehensive ICU, the sampling time was mainly in the first quarter throughout the year, the number of underlying diseases was mainly between 1 to 2 kinds, the application of antibiotics ≥4 kinds, and those who didn’t receive any surgery recently accounted for the most. There were statistically significant differences in the distribution of strains between different specimen types, wards occupied and history of ICU stay (P<0.05), but no statistically significant difference in the distribution of strains between different sampling times, number of underlying diseases and types of antibiotics applied (P>0.05). ConclusionThe situation of prevention and control on MDROs in this hospital is still serious. Focus should be placed on high-risk factors’ and infection monitoring and preventive measures should be strengthened to reduce the incidence rate of MDROs infection.

BackgroundAtypical antipsychotics have been widely used in patients with chronic schizophrenia， and aripiprazole and risperidone are the most commonly used drugs. The mechanism of action of the two is different， while previous studies have provided insufficient credible evidence from multiple perspectives to support the comparative efficacy of the two drugs in improving symptoms in patients with chronic schizophrenia. ObjectiveTo compare the efficacy of aripiprazole and risperidone on the improvement of symptoms， prepulse inhibition （PPI）， cognitive functioning and neurotrophic factors in patients with chronic schizophrenia， so as to provide effective treatment regimens for these patients. MethodsA total of 86 patients with chronic schizophrenia attending the psychiatry department of the Third People's Hospital of Fuyang from March 2021 to March 2023 and fulfilling the diagnostic criteria of International Classification of Diseases， tenth edition （ICD-10） were enrolled and grouped using random number table method， each with 43 cases. Aripiprazole group was given oral aripiprazole once daily at an initial dose of 5 mg for one week and then gradually increased to a maximum dose of 25 mg. Risperidone group received oral risperidone twice daily at an initial dose of 0.5 mg for one week and then gradually increased to a maximum dose of 3 mg. Treatment in both groups lasted 3 months. Before treatment and 3 months after treatment， Patients were required to complete Positive and Negative Symptom Scale （PANSS）， detection of both strong and weak PPIs in a startle modification passive attention paradigm， Wisconsin Card Sorting Test （WCST） and the measurement of neurotrophic factors at baseline and after treatment. The adverse reactions were recorded. Analysis of covariance was used to test the difference between the PANSS score， PPI， WCST and neurotrophic factor levels of the groups， with the pretest used as the covariate. Results3 months after treatment， no statistical difference was found in the scores of PANSS general psychopathology subscale， positive symptom subscale， negative symptom subscale and total score between two groups after treatment （F=0.621， 0.815， 0.743， 0.752， P>0.05）. There were no statistically significant differences between the two groups in PPI inhibition rate， single intense stimulus amplitude， single intense stimulus latency， prepulse inhibition amplitude， or prepulse inhibition latency （F=0.174， 0.001， 0.183， 0.171， 0.001， P>0.05）. There was no statistically significant difference in the total number of WCST tests between two groups （F=0.512， P>0.05）， whereas aripiprazole group reported significantly larger total numbers of categories completed and correct responses as well as smaller total numbers of random errors and perseverative errors compared to risperidone group （F=3.737， 4.621， 4.892， 5.130， P<0.05）. A significant increase in brain-derived neurotrophic factor （BDNF） and nerve growth factor （NGF） along with a reduction in glial fibrillary acidic protein （GFAP） were documented in risperidone group when compared to risperidone group （F=4.414， 3.781， 6.319， P<0.05）. No significant difference was demonstrated in the incidence of adverse reactions between the two groups （χ²=0.261， P>0.05）. ConclusionAripiprazole may be more beneficial than risperidone in improving cognitive functioning and neurotrophic factor levels in patients with chronic schizophrenia. ［Funded by Scientific Research Project of Fuyang Municipal Health Commission in 2021 （number， FY2021-147）］

OBJECTIVE To re-evaluate the use of systematic evaluation/meta-analysis of anti-VEGF drugs in the treatment of diabetic macular oedema （DME）， aiming to provide evidence-based support for the clinical application of this medication. METHODS A comprehensive search was conducted across a range of databases， including CNKI， Wanfang data， VIP， CBM， PubMed， Web of Science， Embase， and Cochrane Library. The objective was to identify systematic evaluation/meta-analysis of anti- VEGF drugs for DME， with search time from the inception of the databases to March 2024. The report quality， methodological quality， and evidence quality were assessed by using PRISMA2020 statement， AMSTAR2 scale and GRADE tool. A comprehensive analysis of systematic evaluation/meta-analysis results was also conducted. RESULTS A total of 22 articles were included. According to the PRISMA2020 statement evaluation， 13 studies provided relatively complete information （≥21 points）， while 9 studies had information deficiencies （18-＜21 points）. The AMSTAR 2 scale evaluation revealed that 21 studies had very low methodological quality， and one study had low methodological quality. The GRADE tool evaluation showed that out of 89 outcome indicators， 28（ 31.46%） were classified as high-quality evidence， 34（ 38.20%） as moderate-quality evidence， 24（ 26.97%） as low- quality evidence， and 3 （3.37%） as very low-quality evidence. The comprehensive quality analysis results demonstrated that， compared with laser photocoagulation， anti-VEGF drugs significantly enhanced the improvement in best-corrected visual acuity （BCVA）， as well as significant change in retinal thickness at 1 and 6 months， and 1 and 2 years post-treatment， and also in BCVA and retinal thickness at 1， 3， and 6 months post-treatment （P＜0.05）. Compared with placebo， patients treated with anti-VEGF drugs showed significant improvement in BCVA after 1 year of treatment （P＜0.05）. However， when compared with corticosteroid drugs， patients treated with anti-VEGF drugs exhibited a significant increase in retinal thickness after 6 months of treatment （P＜0.05）. Compared with corticosteroid drugs， the incidence of adverse events related to the eyes， cataract formation and intraocular pressure were significantly decreased in patients treated with anti-VEGF drugs （P＜0.05）. Compared with laser photocoagulation， the incidence of ocular adverse events was significantly decreased in patients treated with anti-VEGF drugs， while the incidence of fatal adverse events was significantly increased （P＜0.05）. CONCLUSIONS Anti-VEGF therapy for DME may possess certain advantages in terms of efficacy and safety， but it is associated with a higher risk of fatal adverse events； the evidence included in systematic reviews/meta-analyses is of moderate to high quality.

Objective: To analyze the latent tuberculosis infection and preventive treatment in the school tuberculosis epidemic, so as to provide theoretical and technical support for tuberculosis prevention and control in schools. Methods: Information on latent infection, preventive treatment and tuberculosis incidence were collected from five tuberculosis outbreaks in schools in Hunan Province from January to December 2023. Statistical analysis was conducted by using Chisquare test and Fishers exact test. Results: The prevalence of tuberculosis patients in close contacts (7.69%) and the latent infection rate of Mycobacterium tuberculosis (31.87%) were higher than those in nonclose contacts (0.12%, 6.29%), and the differences were statistically significant (P＜0.01). The subsequent incidence of close contacts with latent infection was higher (8.62%) than that of nonclose contacts (0), the rate of close contacts receiving prophylactic treatment (63.30%) was higher than that of nonclose contacts (47.37%), and the proportion of close contacts receiving prophylactic treatment (68.12%) was higher than that of nonclose contacts (45.56%), and the differences were statistically significant (P＜0.05). The latent infection rate of Mycobacterium tuberculosis in college students (13.58%) was higher than that in middle school students (7.08%) (χ2=37.77, P<0.01). The proportion of college students receiving preventive treatment (100.00%) was higher than that of middle school students (40.34%), and the subsequent incidence of latent infection (6.67%) was higher than that of middle school students (0.54%); the rate of middle school students who should receive preventive treatment (70.41%) was higher than that of college students (30.77%), and the rate of middle school students who received preventive treatment (100.00%) was higher than that of college students (62.50%), and the differences were statistically significant (P<0.01). Among the latent infected persons, 144 who completed preventive treatment did not get sick, and 10 of the 177 who did not complete preventive treatment got sick, with an incidence rate of 5.65%. The incidence rate of close contacts (19.23%) was higher than that of nonclose contacts (0) (P<0.01). There was no significant difference in the incidence of pulmonary tuberculosis between university (8.18%) and middle school (1.49%) among latent infected persons who did not complete preventive treatment (P=0.09). Conclusion Actively promoting preventive treatment for latent infections, especially among close contacts, and ensuring that all eligible individuals receive treatment can reduce tuberculosis incidence in schools and help control the scale of school tuberculosis outbreaks.