BACKGROUND:Increasing evidence supports the association between different exercise intensities and the risk of osteoarthritis,but this may be affected by confounding and reverse causality,and the conclusions have not been unified. OBJECTIVE:To explore the causal association between different exercise intensities and osteoarthritis using Mendelian randomization method. METHODS:Data from genome-wide association studies associated with different exercise intensities were selected,and instrumental variables were screened with a threshold of P＜5×10-8.Causal associations between exposure and risk of outcome were assessed using five analysis methods of Mendelian randomization with inverse variance weighting as the primary analysis method.Selected instrumental variables were used to assess causal associations between different exercise intensities and osteoarthritis,and sensitivity analyses with inverse Mendelian randomization were performed. RESULTS AND CONCLUSION:In the analysis results of the inverse variance weighting method,low-intensity exercise showed a significant protective effect on knee osteoarthritis[odds ratio(OR)=0.14,95%confidence interval(CI):0.06-0.32,P＜0.001],while sedentary behavior without exercise intensity,such as watching TV,was confirmed to be a risk factor for knee osteoarthritis and hip osteoarthritis(OR=2.24,95%CI:1.74-2.88,P＜0.001;OR=1.34,95%CI:1.01-1.78,P=0.04).Through the reverse Mendelian randomization analysis of osteoarthritis to different exercise intensities,it was found that osteoarthritis was negatively correlated with low-intensity exercise and positively correlated with watching TV.The analysis results show that there is a two-way causal relationship between different exercise intensity and osteoarthritis risk.

Objective To investigate the correlation between spread through air space (STAS) of sub-centimeter non-small cell lung cancer and clinical characteristics and radiological features, constructing a nomogram risk prediction model for STAS to provide a reference for the preoperative planning of sub-centimeter non-small cell lung cancer patients. Methods The data of patients with sub-centimeter non-small cell lung cancer who underwent surgical treatment in Nanjing Drum Tower Hospital from January 2022 to October 2023 were retrospectively collected. According to the pathological diagnosis of whether the tumor was accompanied with STAS, they were divided into a STAS positive group and a STAS negative group. The clinical and radiological data of the two groups were collected for univariate logistic regression analysis, and the variables with statistical differences were included in the multivariate analysis. Finally, independent risk factors for STAS were screened out and a nomogram model was constructed. The sensitivity and specificity were calculated based on the Youden index, and area under the curve (AUC), calibration plots and decision curve analysis (DCA) were used to evaluate the performance of the model. Results A total of 112 patients were collected, which included 17 patients in the STAS positive group, consisting of 11 males and 6 females, with a mean age of (59.0±10.3) years. The STAS negative group included 95 patients, with 30 males and 65 females, and a mean age of (56.8±10.3) years. Univariate logistic regression analysis showed that male, anti-GAGE7 antibody positive, mean CT value and spiculation were associated with the occurrence of STAS (P＜0.05). Multivariate regression analysis showed that associations between STAS and male (OR=5.974, 95%CI 1.495 to 23.872), anti-GAGE7 antibody positive (OR=11.760, 95%CI 1.619 to 85.408) and mean CT value (OR=1.008, 95%CI 1.004 to 1.013) were still significant (P＜0.05), while the association between STAS and spiculation was not significant anymore (P=0.438). Based on the above three independent predictors, a nomogram model of STAS in sub-centimeter non-small cell lung cancer was constructed. The AUC value of the model was 0.890, the sensitivity was 76.5%, and the specificity was 91.6%. The calibration curve was well fitted, suggesting that the model had a good prediction efficiency for STAS. The DCA plot showed that the model had a good clinically utility. Conclusion Male, anti-GAGE7 antibody positive and mean CT value are independent predictors of STAS positivity of sub-centimeter non-small cell lung cancer, and the nomogram model established in this study has a good predictive value and provides reference for preoperative planning of patients.

Congenital heart disease (CHD) is a congenital malformation resulting from abnormal embryonic development of the heart and great vessels, accounting for approximately 25% of all congenital malformations. Children with CHD are often complicated by short stature. Although surgical treatment can improve their growth and development to a certain extent, some children still experience growth retardation after surgery. Recombinant human growth hormone (rhGH) is the main drug for treating short stature, but its efficacy and safety in the treatment of patients with concomitant CHD warrant further investigation. This article reports six cases of children with CHD and short stature who were treated with rhGH. Through a literature review, we summarize and discuss the therapeutic efficacy, follow-up experiences, and adverse reactions of rhGH treatment, aiming to provide references for clinicians in applying rhGH to treat patients with CHD and short stature.

Objective: To investigate the current status of refractive errors and insufficient hyperopia reserve in preschool children aged 3-6 years in Hefei and to analyze influencing factors, so as to provide a scientific basis for formulating targeted myopia prevention policies and comprehensive interventions. Methods: In May 2022, a stratified cluster random sampling method was used to select 897 preschool children from 8 kindergartens across four districts (Baohe, Yaohai, Shushan, and Economic and Technological Development Zone) in Hefei, and Children’s Visual Health related Behavior Assessment Scale was used to collect personal information and environmental factors. Pre and post cycloplegic refraction tests were conducted to assess insufficient hyperopic reserve and refractive development levels. Group comparisons were conducted using 2 test, t-test or analysis of variance. Multivariate regression analysis was performed to identify key factors influencing hyperopic reserve, axial length and spherical equivalent in preschool children. Results: The detection rates of refractive errors among preschool children were 6.8% for hyperopia, 1.6% for myopia, and 11.1% for astigmatism. Notably, the prevalence of myopia was significantly higher in boys (2.3%) than in girls (0.7%) ( χ 2=3.88, P <0.05). Additionally, 8.8% of the children exhibited insufficient hyperopic reserve. The results of multiple regression analysis showed that preschool children with high myopia in the father, high myopia in the mother, longer daily duration of near work, and longer daily electronic product use time had increased risks of axial growth ( β =0.12, 0.09, 0.15, 0.11), SE reduction ( β =-0.10, -0.07, -0.18, -0.13), and insufficient hyperopic reserve ( OR=1.87, 2.22, 1.40, 1.28) (P <0.05). While, preschool children with longer sleep time and daily outdoor activity duration had lower risks of axial growth ( β =-0.11, -0.10 ), SE reduction ( β =0.39, 0.51), and insufficient hyperopia reserve ( OR =0.54, 0.51) in preschool children ( P <0.05). Conclusions The rates of refractive errors and insufficient hyperopia reserve in preschool children in Hefei are relatively low, which are influenced by many factors. Parents, kindergartens and relevant departments should implement early vision monitoring and intervention for preschool children, and cultivate their scientific eye use habits.

With the emergence of deep learning techniques based on convolutional neural networks, artificial intelligence (AI) has driven transformative developments in the field of medical image analysis. Recently, large language models (LLMs) such as ChatGPT have also started to achieve distinction in this domain. Increasing research shows the undeniable role of AI in reshaping various aspects of medical image analysis, including processes such as image enhancement, segmentation, detection in image preprocessing, and postprocessing related to medical diagnosis and prognosis in clinical settings. However, despite the significant progress in AI research, studies investigating the recent advances in AI technology in the aforementioned aspects, the changes in research hotspot trajectories, and the performance of studies in addressing key clinical challenges in this field are limited. This article provides an overview of recent advances in AI for medical image analysis and discusses the methodological profiles, advantages, disadvantages, and future trends of AI technologies.
Artificial Intelligence ; Humans ; Image Processing, Computer-Assisted/methods* ; Neural Networks, Computer ; Deep Learning ; Diagnostic Imaging/methods*

Neurofibromas are benign peripheral nerve sheath tumors. It is more common in neurofibromatosis type Ⅰ. However, isolated vagal nerve neurofibroma（VNN） of the neck is extremely rare, and only a few case reports have been reported. Its etiology and pathogenesis are not clear. The diagnosis is mainly based on pathological examination and immunohistochemistry, and surgical resection is the main treatment. This study reports a rare case of giant solitary vagus neurofibroma in the neck. The patient was a 29-year-old female who was found to have a mass on the right side of the neck by physical examination, which was considered to be a vagus nerve tumor by neck ultrasound and imaging examination. The tumor was completely removed during the operation, with the size of about 10.0 cm×2.5 cm, and the patient had no special discomfort. Postoperative pathology and immunohistochemistry confirmed neurofibroma. After surgery, the patient had right vocal cord paralysis, hoarseness, choking and paroxysmal cough. After swallowing function training and voice rehabilitation treatment in the department, the patient recovered satisfactorily. There was no complication and recurrence during the follow-up of 1 year. This article reviews the literature to improve the diagnosis and treatment of solitary vagus neurofibroma in the neck by combining its medical history, imaging features, pathology and immunohistochemistry, and surgical treatment.
Humans ; Female ; Adult ; Neurofibroma ; Vagus Nerve/pathology* ; Neck ; Cranial Nerve Neoplasms

Purpose/Significance To explore the application and predictive accuracy of various models in predicting the risk of ather-osclerosis in diabetic patients.Method/Process Based on the biochemical data table from the"Diabetes Complications Warning Dataset"provided by the National Population Health Science Data Center,MATLAB software is used to construct risk prediction models for diabe-tes-induced atherosclerosis.The models are built by using k-nearest neighbors(KNN),decision trees,backpropagation(BP)neural networks,and Naive Bayes algorithms,and which are subjected to comparative analysis.Result/Conclusion In terms of effectiveness,the predictive accuracy of Naive Bayes algorithm is the highest(61.6％),followed by the decision tree model(58.2％),the KNN mod-el(57.7％),and the BP neural network model(55.9％).The results of the confusion matrix and the receiver operating characteristic(ROC)curve indicate that the Naive Bayes model performs best.When comparing the models in terms of effectiveness,performance and stability,the Naive Bayes model is superior.

Objective:To investigate the clinical and genetic characteristics and predictive role of the severe liver disease phenotype in patients with hepatolenticular degeneration (HLD).Methods:Inpatients with HLD confirmed at Xinhua Hospital affiliated with Shanghai Jiao Tong University School of Medicine from January 1989 to December 2022 were selected as the research subjects. Clinical classification was performed according to the affected organs. Patients with liver disease phenotypes were classified into the liver disease group and further divided into the severe liver disease group and the ordinary liver disease group. The clinical characteristics and genetic variations were compared in each group of patients. The predictive indicators of patients with severe liver disease were analyzed by multiple regression. Statistical analysis was performed using the t-test, Mann-Whitney U test, or χ2 test according to different data. Results:Of the 159 HLD cases, 142 were in the liver disease group (34 in the severe liver disease group and 108 in the ordinary liver disease group), and 17 were in the encephalopathy group. The median age of onset was statistically significantly different between the liver disease group and the encephalopathy group [12.6 (7.0, 13.3) years versus 16.9 (11.0, 21.5) years, P<0.01]. 156 ATP7B gene mutation sites were found in 83 cases with genetic testing results, of which 54 cases carried the p.Arg778Leu gene mutation (allele frequency 46.2%). Compared with patients with other types of gene mutations ( n=65), patients with homozygous p.Arg778Leu mutations ( n=18) had lower blood ceruloplasmin and albumin levels, a higher prognostic index, Child-Pugh score, an international normalized ratio, and prothrombin time ( P<0.05). Hemolytic anemia, corneal K-F ring, homozygous p.Arg778Leu mutation, and multiple laboratory indexes in the severe liver disease group were statistically significantly different from those in the ordinary liver disease group ( P<0.05). Multivariate logistic regression analysis showed that the predictive factors for severe liver disease were homozygous p.Arg778Leu mutation, total bilirubin, and bile acids ( ORs=16.512, 1.022, 1.021, 95% CI: 1.204-226.425, 1.005-1.039, and 1.006-1.037, respectively, P<0.05). The drawn ROC curve demonstrated a cutoff value of 0.215 3, an AUC of 0.953 2, and sensitivity and specificity of 90.91% and 92.42%, respectively. Conclusion:Liver disease phenotypes are common in HLD patients and have an early onset. Total bilirubin, bile acids, and the homozygous p.Arg778Leu mutation of ATP7B is related to the severity of liver disease in HLD patients, which aids in predicting the occurrence and risk of severe liver disease.

Objective:To determine the erythromycin resistance of Bordetella pertussis isolates and their ptxP1 and ptxP3 phenotypic composition and compare clinical manifestations of children with pertussis caused by the two types of strains. Methods:This was a cross-sectional study, the pertussis cases diagnosed using bacterial culture from January 2019 to December 2022 in Beijing Children′s Hospital and the First People′s Hospital of Wuhu were collected.Any suspected Bordetella pertussis colonies were identified by the slide agglutination test.The susceptibility of isolates to erythromycin was detected by the E-test and K-B test.The ptxP gene was amplified by polymerase chain reaction and sequenced to determine its genotype. t-test, Mann-Whitney U-test, Chi-square test and Fisher′s exact test were use to statistical analysis. Results:A total of 192 strains of Bordetella pertussis were identified, including 188 (97.9%) erythromycin-resistant strains.Among the 188 strains, 30.3%(57/188) belonged to the ptxP1 genotype and 69.7%(131/188) belonged to the ptxP3 genotype.In children aged below 1 year old, the incidence of paroxysmal cough caused by infection with the ptxP3 strain was higher than that with the ptxP1 strain (57.1% vs.29.4%, P<0.05), and children infected with the ptxP3 strain were more likely to develop apnea or asphyxia (23.8% vs.17.6%), post-tussive vomiting (44.4% vs.32.4%), whooping cough (72.0% vs.50.0%) and pneumonia or bronchitis (85.7% vs.73.5%) compared to those infected with the ptxP1 strain, but the differences were not statistically significant(all P>0.05). In children aged 1 year old and above, the white blood cell count of children infected with the ptxP1 strain was higher than that of infections with the ptxP3 strain [13.5(9.9, 24.5)×10 9/L, 10.3 (7.0, 16.4)×10 9/L, P<0.05], and children infected with the ptxP1 strain were more likely to contract other pathogen infections than those infected with the ptxP3 strain (17.4% vs.4.4%, P>0.05). Conclusions:ptxP3 erythromycin-resistant Bordetella pertussis has become the main pathogen of pertussis.Infants with pertussis caused by the ptxP3 erythromycin-resistant strain show more significant manifestations and a higher possibility of severe symptoms than those infected with the ptxP1 erythromycin-resistant strain.

Objective:To investigate the prevalence of hyperuricemia (HUA) in Bozidun Kirghiz township of Xinjiang Aksu region, and to explore the risk factors for the occurrence of HUA in the local area.Methods:A cross-sectional survey study was conducted by randomly selecting 9 villages in Bozidun Kirgiz Township by the whole-group sampling method and questionnaire were distributed to the households. The questionnaire included: demographic information, history of past illness, personal history, and all subjects were measured for height, weight, blood pressure, abdominal circumference, etc. The diagnostic of HUA if the serum uric acid (SUA) level >420 μmol/L in men or >360 μmol/L in women. The incidences of HUA in different age, sex, food type and life style behavior were analyzed. T test, non-parametric test and Chi-square test were used to analyze the differences among the groups, and logistic regression was used to analyze the risk factors. Results:①A total of 2 138 subjects were surveyed, among which 68 patients were with HUA, the prevalence of HUA in Bozidun Kirghiz township, Aksu region in the general population was 3.18%(68/2 138); the prevalence rate in men was 4.60%(45/978), 45 patients were identified; and the prevalence rate in women was 1.98%(23/1 160), 23 patients were identified. The peak age of HUA in male and female patients was 51~60 years old. ②The prevalence of HUA was lower in those who consumed dairy products ( χ2=6.91, P=0.017), nuts ( χ2=8.43, P=0.038) and eggs ( χ2=7.38, P=0.023), and lower in those who consumed more. Different intake of cereals ( χ2=0.87, P=0.647), meat( χ2=0.82, P=0.662), vegetables and fruits( χ2=5.22, P=0.073) had no effect on the prevalence of HUA.③In terms of different life behaviors, the prevalence of HUA in men who had been smoking was higher than those who had never smoked (57.78%, 28.89%, 13.33%, χ2=8.16, P=0.017). In the relationship between drinking and HUA, the prevalence rates of male always drinking, ever drinking and never drinking were 80.00%, 11.11% and 3.89%, respectively, the difference was statistically significant ( χ2=6.67, P=0.038). ④Multi-factor logistic regression analysis showed that high BMI, old age, high TG, increased Cr and increased WBC were risk factors for the occurrence of HUA [ OR(95% CI)=1.13(1.04, 1.23), 1.03(1.00,1.05),1.39(1.00, 1.93), 1.03(1.02, 1.05), 1.27(1.07, 1.49), all P<0.05]. Conclusion:The prevalence of HUA in Bozidun Kirgiz township in Aksu prefecture of Xinjiang is lower than that in other areas with continental climate. High BMI, old age, high TG, increased Cr and increased WBC count are risk factors for the development of HUA .