AIM:To explore the feasibility of predicting orthokeratology lens ordering parameters(flat K, spherical power, lens diameter, and lens toricity)using the extreme gradient boosting(XGBoost)algorithm based on corneal topographic parameters and basic clinical examination indicators, and to provide references for intelligent clinical fitting.METHODS:Clinical data were retrospectively collected from myopic patients who underwent initial orthokeratology lens fitting and achieved successful fitting at Puyang Second People's Hospital between January 2019 and March 2024. Data from right and left eyes were treated as independent samples, and the dataset was partitioned at the patient level into training and test sets in a 7∶3 ratio. Input features included uncorrected visual acuity(UCVA), axial length(AL), horizontal visible iris diameter(HVID), flat K, steep K, horizontal eccentricity, and vertical eccentricity. The lens toricity prediction model additionally incorporated keratometric astigmatism(ΔK)and surface asymmetry index(SAI). The output labels were the final ordering parameters(flat K, spherical power, lens diameter, and lens toricity). Separate XGBoost regression models were constructed for each output parameter, with hyperparameters optimized independently through grid search combined with 5-fold cross-validation. Model performance was evaluated on the test set using the coefficient of determination(R2), mean absolute error(MAE), and root mean square error(RMSE). Feature importance analysis was also performed.RESULTS:Totally 400 patients(800 eyes)were included in the final analysis. The 400 patients comprised 208 male(52.0%)and 192 female(48.0%)patients, with a mean age of 10.1±2.3 y. After partitioning at the patient level, the training set comprised 280 patients(560 eyes; 146 males and 134 females; mean age 10.1±2.3 y), and the test set comprised 120 patients(240 eyes; 62 males and 58 females; mean age 10.0±2.2 y). No statistically significant differences in sex composition or age were found between the two sets(P>0.05). Toric lenses were used by 140 of the 280 patients(50.0%)in the training set and by 50 of the 120 patients(41.7%)in the test set(χ2=2.017, P=0.156). The flat K prediction model achieved an MAE of 0.34 D and an R2 of 0.84. The spherical power model attained an MAE of 0.43 D and an R2 of 0.70. The lens diameter model yielded an MAE of 0.12 mm and an R2 of 0.42. The lens toricity model(Tweedie regression, power=1.5)achieved an MAE of 0.44 D and an R2 of 0.38. The MAE for each parameter fell within the clinically acceptable tolerance limits(flat K≤0.50 D, spherical power ≤0.75 D, lens diameter ≤0.25 mm, lens toricity ≤0.75 D). Scatter plots and Bland-Altman analysis demonstrated strong agreement between predicted values and actual observations. Feature importance analysis revealed that flat K(0.70)and steep K(0.11)were the most influential predictors in the flat K prediction model.CONCLUSION: The XGBoost model based on routine clinical parameters provides predictions of flat K, spherical power, and lens diameter with MAEs within clinically acceptable ranges, and offers useful reference for cylindrical power prediction. This approach may serve as a useful adjunct to clinical lens fitting. Nevertheless, future prospective studies are warranted to validate its clinical utility in improving actual fitting success rates.

Objective:To obtain differential expression profiles of circRNAs and miRNAs in peripheral blood of female patients with major depressive disorder based on high-throughput sequencing technology, and then construct an interaction network.Based on the outcome, it made a further exploration of the possible occurrence and development mechanisms of female major depressive disorder through functional annotation and pathway enrichment analysis.Methods:According to the ceRNA theory, circRNA-miRNA network was constructed by TargetScan software via predicting the binding sites.Subsequently, the GO functional enrichment analysis was performed, and KEGG pathway enrichment analysis were utlized to illustrate the target genes of co-expressed miRNAs.Thereby, the key genes related to major depressive disorder could be screened out.Results:A total of 724 differential circRNAs and 26 differential miRNAs were detected in female patients with major depressive disorder.And hsa_circ_0086092 and hsa-miR-146a-3p were the most co-expressed.Go functional annotations pointed out that it involved the regulation of nucleobase-containing compound metabolic process, regulation of RNA splicing, regulation of cell communication, amino acid transfer, regulation of RNA metabolic process, regulation of signaling and other biological processes.KEGG pathway analysis showed that target genes were mainly enriched in neurotrophin signaling pathway, Rap1 signaling pathway, FoxO signaling pathway, AMPK signaling pathway, cocaine addiction, mTOR signaling pathway, Jak-STAT signaling pathway, cAMP signaling pathway, etcetera.Among the predicted target genes, BDNF, FGF2, MAPK14, GRIN2A, GRIN2B, GRM2 and PDE4 have the highest correlation with major depressive disorder.Conclusion:Hsa_circ_0086092 may be involved in the occurrence and development of female major depressive disorder through interaction with hsa-miR-146a-3p.

Objective To explore the relationship among peer relationship,self-consciousness and social anxiety in HIV-infected children. Methods Peer Relationship Scale,Piers-Harris Children's Self-con-cept Scale and Social Anxiety Scale for Children were applied to 126 HIV-infected children. Results The score of peer relationship was 53. 0(45. 0,62. 0),the score of self-concept was 52. 0(42. 0,60. 0),and the score of social anxiety was 6. 0(2. 0,9. 0). Peer relationship was positively correlated with social anxiety( r=0. 196,P=0. 029) and negatively correlated with self-consciousness(r=-0. 628,P<0. 01). Self-conscious-ness was negatively correlated with social anxiety(r=-0. 504,P<0. 01). Bootstrap analysis showed that self-consciousness played a complete mediating role between peer relationship and social anxiety,and the media-ting effect value was 0. 377. Conclusion Peer relationship,self-consciousness and social anxiety are closely related. Furthermore,self-consciousness plays a complete mediating role between peer relationship and social anxiety in HIV-infected children.