AIM:To automatically identify and quantitatively assess myopia-related fundus structural changes by combining non-mydriatic color fundus photography with an artificial intelligence(AI)-powered quantitative fundus analysis system and to further analyze the correlations between these fundus parameters and spherical equivalent(SE), axial length(AL), and age, providing the objective basis for monitoring myopia progression and supporting the formulation of personalized myopia prevention and control strategies. METHODS:A cross-sectional study was conducted enrolling myopic patients aged 18-50 y who underwent myopia screening from March 2023 to December 2023. Patients were stratified into three groups based on SE: the -3.00 D

BACKGROUND: Epoxyeicosatrienoic acids (EETs), which are metabolites of arachidonic acid catalyzed by cytochrome P450 epoxygenase, are degraded into inactive dihydroxyeicosatrienoic acids by soluble epoxide hydrolase (sEH). Many studies have revealed that sEH gene deletion exerts protective effects against diabetes. Vascular calcification is a common complication of diabetes, but the potential effects of sEH on diabetic vascular calcification are still unknown. METHODS: The level of aortic calcification in wild-type and Ephx2-/- C57BL/6 diabetic mice induced with streptozotocin was evaluated by measuring the aortic calcium content through alizarin red staining, immunohistochemistry staining, and immunofluorescence staining. Mouse vascular smooth muscle cell lines (MOVAS cells) treated with β-glycerol phosphate (0.01 mol/L) plus advanced glycation end products (50 mg/L) were used to investigate the effects of sEH inhibitors or sEH knockdown and EETs on the calcification of vascular smooth muscle cells, which was detected by Western blotting, alizarin red staining, and Von Kossa staining. RESULTS: sEH gene deletion significantly inhibited diabetic vascular calcification by increasing levels of EETs in the aortas of mice. EETs (especially 11,12-EET and 14,15-EET) efficiently prevented the osteogenic transdifferentiation of MOVAS cells by decreasing nidogen-2 (NID2) expression. Interestingly, suppressing sEH activity by small interfering ribonucleic acid or specific inhibitors did not block osteogenic transdifferentiation of MOVAS cells induced by β-glycerol phosphate and advanced glycation end products. NID2 overexpression significantly abolished the inhibitory effect of sEH gene deletion on diabetic vascular calcification. Moreover, NID2 overexpression mediated by adeno-associated virus 9 vectors markedly increased insulin-like growth factor 2 (IGF2) and phospho-ERK1/2 expression in MOVAS cells. Overall, sEH gene knockout inhibited diabetic vascular calcification by decreasing aortic NID2 expression and, then, inactivating the downstream IGF2-ERK1/2 signaling pathway. CONCLUSIONS sEH gene deletion markedly inhibited diabetic vascular calcification through repressed osteogenic transdifferentiation of vascular smooth muscle cells mediated by increased aortic EET levels, which was associated with decreased NID2 expression and inactivation of the downstream IGF2-ERK1/2 signaling pathway.
Animals ; Mice ; Vascular Calcification/metabolism* ; Mice, Inbred C57BL ; Epoxide Hydrolases/metabolism* ; Diabetes Mellitus, Experimental/genetics* ; Male ; Gene Deletion ; MAP Kinase Signaling System/genetics* ; Cell Line ; Immunohistochemistry ; Muscle, Smooth, Vascular/metabolism* ; Signal Transduction/genetics* ; Mice, Knockout

An epilepsy prediction model based on two-dimensional convolutional neural network and Cox-Stuart test for non-independent patients is proposed to address the problem of how to effectively predict whether epilepsy patients are going to have an attack or not. After EEG data normalization and EEG signal noise removal using a notch filter and a high-pass filter,the filtered signals are inputted into the two-dimensional convolutional neural network model for feature extraction and classification,and Cox-Stuart test is used to determine whether an early stopping is needed or not,thereby reducing the computational and time complexities of the model. The model is tested under the conditions with pre-seizure periods of 10,30 and 60 min,respectively,and the results show that the model performs best when the pre-seizure period is 10 min. The model has an average accuracy,sensitivity and specificity of 97.70％,97.36％and 98.04％on the test set,demonstrating its superior performance.

An epilepsy prediction model based on two-dimensional convolutional neural network and Cox-Stuart test for non-independent patients is proposed to address the problem of how to effectively predict whether epilepsy patients are going to have an attack or not. After EEG data normalization and EEG signal noise removal using a notch filter and a high-pass filter,the filtered signals are inputted into the two-dimensional convolutional neural network model for feature extraction and classification,and Cox-Stuart test is used to determine whether an early stopping is needed or not,thereby reducing the computational and time complexities of the model. The model is tested under the conditions with pre-seizure periods of 10,30 and 60 min,respectively,and the results show that the model performs best when the pre-seizure period is 10 min. The model has an average accuracy,sensitivity and specificity of 97.70％,97.36％and 98.04％on the test set,demonstrating its superior performance.

Objective To construct a prediction model for coronal malalignment of lower limb in middle-aged and young people in China based on body surface big data in order to provide a faster and more accurate tool for predicting the malalignment in clinical practice.Methods A cross-sectional trial was adopted on 915 patients with knee meniscus tears admitted to the Sports Medical Center of our hospital from May 2022 to December 2023.The coronal force line of lower limb was measured,and according to the lower limb force line grading standards,the patients were divided into neutral force line group and malalignment lower limb group,and assigned randomly into training set and validation set in a ratio of 7∶3.Seven indicators,such as gender,age,and body surface big data (including BMI,lower limb length,distance between both knee joints,distance between both ankle joints,and subcutaneous fat thickness)were used to analyze the training set to predict the value of malalignment force line.Logistic regression model and nomogram model were constructed to visualize our prediction model. Then calibration curves,receiver operating characteristic (ROC)curve,and decision curve analysis (DCA)were applied to evaluate the diagnostic efficacy of the constructed model.Results In the training set of 640 cases,there were 299 males and 341 females,with a median age of 41 .5 years old,and for the validation set,there are 275 patients,including 128 males and 147 females,with a median age of 41 .0 years old.Significant differences were observed in above mentioned 7 indicators between the 2 groups in the training set (P<0.01 ).Based on the results of multiple logistic regression analysis,a prediction model for malalignment of lower limb was constructed,including BMI (24.31±3.58 kg/m2,OR=1 .12,95％CI:1 .06～1 .19,P<0.001 ),lower limb length[82.00 (78.00～87.00)cm,OR=0.95,95％CI:0.92～0.98,P=0.002],distance between both knee joints[30.00 (16.00～45.25)cm,OR=1 .06,95％CI:1 .05～1 .07,P<0.001],distance between both ankle joint[23.00 (8.00～30.00)mm,OR=0.98,95％CI:0.96～1 .00,P=0.078]and gender[man 299 (46.72％),OR=0.70,95％CI:0.46～1 .06,P=0.089].The area under the subject curve (AUC)value of our constructed model for predicting malalignment of lower limb was 0.808 and 0.770,respectively,in the training and validation sets.Conclusion Based on body surface big data,we primarily construct a prediction model for malalignment of lower limb for middle-aged and young people in China,which shows a good diagnostic performance on malalignment of lower limb.

OBJECTIVE: To investigate the correlation of hemoglobin (Hb) level with prognosis of elderly patients diagnosed as sepsis. METHODS: A retrospective cohort study was conducted. Information on the cases of elderly patients with sepsis in the Medical Information Mart for Intensive Care-IV (MIMIC-IV), including basic information, blood pressure, routine blood test results [the Hb level of a patient was defined as his/her maximum Hb level from 6 hours before admission to intensive care unit (ICU) and 24 hours after admission to ICU], blood biochemical indexes, coagulation function, vital signs, severity score and outcome indicators were extracted. The curves of Hb level vs. 28-day mortality risk were developed by using the restricted cubic spline model based on the Cox regression analysis. The patients were divided into four groups (Hb < 100 g/L, 100 g/L ≤ Hb < 130 g/L, 130 g/L ≤ Hb < 150 g/L, Hb ≥ 150 g/L groups) based on these curves. The outcome indicators of patients in each group were analyzed, and the 28-day Kaplan-Meier survival curve was drawn. Logistic regression model and Cox regression model were used to analyze the relationship between Hb level and 28-day mortality risk in different groups. RESULTS: A total of 7 473 elderly patients with sepsis were included. There was a "U" curve relationship between Hb levels within 24 hours after ICU admission and the risk of 28-day mortality in patients with sepsis. The patients with 100 g/L ≤ Hb < 130 g/L had a lower risk of 28-day mortality. When Hb level was less than 100 g/L, the risk of death decreased gradually with the increase of Hb level. When Hb level was ≥ 130 g/L, the risk of death gradually increased with the increase of Hb level. Multivariate Logistic regression analysis revealed that the mortality risks of patients with Hb < 100 g/L [odds ratio (OR) = 1.44, 95% confidence interval (95%CI) was 1.23-1.70, P < 0.001] and Hb ≥ 150 g/L (OR = 1.77, 95%CI was 1.26-2.49, P = 0.001) increased significantly in the model involving all confounding factors; the mortality risks of patients with 130 g/L ≤ Hb < 150 g/L increased, while the difference was not statistically significant (OR = 1.21, 95%CI was 0.99-1.48, P = 0.057). The multivariate Cox regression analysis suggested that the mortality risks of patients with Hb < 100 g/L [hazard ratio (HR) = 1.27, 95%CI was 1.12-1.44, P < 0.001] and Hb ≥ 150 g/L (HR = 1.49, 95%CI was 1.16-1.93, P = 0.002) increased significantly in the model involving all confounding factors; the mortality risks of patients with 130 g/L ≤ Hb < 150 g/L increased, while the difference was not statistically significant (HR = 1.17, 95%CI was 0.99-1.37, P = 0.053). Kaplan-Meier survival curve showed that the 28-day survival rate of elderly septic patients in 100 g/L ≤ Hb < 130 g/L group was significantly higher than that in Hb < 100 g/L, 130 g/L ≤ Hb < 150 g/L and Hb ≥ 150 g/L groups (85.26% vs. 77.33%, 79.81%, 74.33%; Log-Rank test: χ² = 71.850, P < 0.001). CONCLUSIONS Elderly patients with sepsis exhibited low mortality risk if their 100 g/L ≤ Hb < 130 g/L within 24 hours after admission to ICU, and both higher and lower Hb levels led to increased mortality risks.
Humans ; Male ; Female ; Aged ; Retrospective Studies ; Sepsis/diagnosis* ; Critical Care ; Intensive Care Units ; Prognosis ; Hemoglobins ; ROC Curve

Objective:To investigate correlation between neutrophil extracellular traps(NETs) formation and T cell subsets in mice with experimental autoimmune thyroiditis(EAT) and the impact of active vitamin D intervention.Methods:Six-week-old female BALB/c mice were randomly divided into Control group, EAT group and 1, 25 dihydroxy vitamin D 3[1, 25(OH) 2D 3] treatment group(VitD group; n=6/group). HE staining was used to observe thyroid pathology. Plasma thyroglobulin antibody(TGAb), thyroid peroxidase antibody(TPOAb), and 1, 25(OH) 2D 3 were measured by ELISA. Peripheral NETs formation, Th1, Th2, and Th17 cell ratio from spleen were measured by flow cytometry. Correlation between NETs formation rate and Th1, Th2, and Th17 cell ratio was analyzed. Results:Compared with Control group, mice in EAT group had significantly increased thyroid inflammation scores, thyroiditis morbidity, TPOAb, TGAb levels, NETs formation rate, Th2(CD4 + IL-4 + or CD4 + IL-13 + )and Th17 cell proportions( P were <0.001, 0.002, 0.007, <0.001, <0.001, 0.003, 0.001, and 0.002, respectively), and significant decreased 1, 25(OH) 2D 3, Th1 cell proportions, Th1/Th2(CD4 + IL-4 + ), Th1/Th2(CD4 + IL-13 + ), and Th1/Th17 ratios( P were 0.010, 0.018, 0.010, 0.005, and 0.007, respectively). Compared with the EAT group, the VitD group had lower thyroid inflammation scores, TPOAb, TGAb levels, NETs formation rate, Th2(CD4 + IL-4 + or CD4 + IL-13 + ) and Th17 cell proportions( P were 0.044, 0.007, <0.001, 0.001, 0.014, 0.008, and 0.001, respectively), and significant higher Th1 cell ratio, Th1/Th2(CD4 + IL-13 + ) and Th1/Th17 ratio( P were 0.011, 0.009, and 0.003, respectively). The Th1/Th2(CD4 + IL-4 + ) was not significantly increased in VitD group compared with EAT group( P=0.174). NETs formation rate was positively correlated with Th2(CD4 + IL-4 + or CD4 + IL-13 + ) and Th17 cell proportion( r were 0.65, 0.59, and 0.61; and P were 0.004, 0.010, and 0.007, respectively), but not with Th1 cell proportion( r=-0.47, P=0.051). Conclusion:EAT mice were more prone to NETs formation. Active vitamin D may relieve immune imbalance with increased Th2 and Th17 cell ratio and decreased Th1 cell ratio by reducing the formation of NETs in EAT mice. Vitamin D played the protective role in thyroid by reducing thyroid pathological damage and thyroid autoantibody levels, and relived overall lymphocyte imbalance.

Total knee arthroplasty (TKA) is an effective treatment for end-stage knee disease, with the postoperative alignment, component position, soft tissue balance, and prosthesis matching being key factors for the success of TKA. In order to achieve more accurate postoperative alignment and component position, better soft tissue balance and prosthesis matching for longer prosthesis longevity, better postoperative function and higher patient satisfaction, various intelligent accuracy technological aids such as computer assisted navigation (CAN), patient specific instrumentation (PSI), surgical robots, microsensors, customized implants (CI) and personalized 3D preoperative planning have emerged and are given high expectation. In this paper, the authors review the application and research progress of the above technological aids mainly from aspects of alignment, component position, clinical outcomes and cost analysis, so as to provide a reference for the application of related technological aids in TKA.

OBJECTIVE: To explore the clinical and genetic characteristics of a child featuring developmental delay. METHODS: The child was subjected to whole exome sequencing. Candidate variant was verified by Sanger sequencing. RESULTS: Whole genome sequencing revealed that the child has carried compound heterozygous variants c.2607-1G>C and c.899 + 2dupT of the RAB3GAP1 gene, which were respectively derived from her mother and father. CONCLUSION A rare case of Warburg micro syndrome type 1 was diagnosed. The phenotype of the child was consistent with the literature, in addition with dysplasia of palatine arch, prominent high palatal arch and tooth dysplasia. Above finding has provided a basis for genetic counseling and prenatal diagnosis for the family.
Abnormalities, Multiple/genetics* ; Adult ; Cataract/genetics* ; Child ; Cornea/abnormalities* ; Female ; Humans ; Hypogonadism/genetics* ; Intellectual Disability/genetics* ; Male ; Microcephaly/genetics* ; Mutation ; Optic Atrophy/genetics* ; Whole Exome Sequencing ; rab3 GTP-Binding Proteins/genetics*

Objective To explore the theory of curriculum contents for gerontological nurse practitioner training which is suitable for the situation of our country. Method Delphi technique was used in this research to build content indicators of gerontological nurse practitioner training curricu-lum, and calculate the variation coefficient. Results The theory training curriculum includes founda-tions of gerontological nursing, geriatric syndrome, facilitating physiological balance and general gero-tological care modules and 41 core indexs. Every coefficient of variation is less than 20 percent [(4.35±0.71), (4.63±0.57), (4.55±0.57), (4.67±0.55)]. The mean values of the importance (4.54± 0.622) and general characteristics are more than four. Conclusion The content setting of the geron-tological nurse practitioner training theory course not only highlights the training characteristics of the geriatric care, but also has comprehensive and systematic content, reflects humanistic care spirit and pays attention to developing nurses’clinical practice ability. Therefore, it is worthy of reference and promotion.