Objective: To characterize perioperative dynamic changes in immune-cell phenotypes and inflammatory cytokines in patients undergoing CPB (cardiopulmonary bypass) cardiac surgery, and to explore their associations with postoperative outcomes. Methods: In this prospective cohort study, 120 adult patients who underwent elective cardiac surgery under CPB at West China Hospital from May 2022 to March 2023 were enrolled. Perioperative immune-cell phenotypes and concentrations of 40 inflammation-related cytokines were measured. The primary outcomes were the sequential organ failure assessment (SOFA) score at 24 h after surgery and ΔSOFA (the peak SOFA score within 48 h after surgery minus the preoperative SOFA score). Secondary outcomes included major adverse cardiovascular events (MACE), acute kidney injury (AKI), respiratory failure, severe liver injury, and infection. Results: The mean age of enrolled patients was 57±10 years. Of these, 52% (62/120) were male and 90% (108/120) underwent valve surgery. During the rewarming to the end of CPB, neutrophil counts rapidly increased (7.39×10 /L vs preoperative 3.07×10 /L, P<0.001), with significant upregulation of CD11b (7.30×10 /L vs preoperative 3.05×10 /L, P<0.001) and CD54 (7.15×10 /L vs preoperative 2.99×10 /L, P<0.001). Lymphocyte counts increased at the end of CPB (1.75×10 /L vs preoperative 1.12×10 /L, P<0.001) but decreased significantly at 24 h after surgery (0.59×10 /L vs preoperative 1.12×10 /L, P<0.001). Plasma analysis showed that multiple pro-inflammatory cytokines increased during CPB and remained elevated up to 24 h after surgery; five chemokines and the anti-inflammatory cytokine IL-10 peaked at the end of CPB. The SOFA score increased from 1 (1, 2) preoperatively to 7 (5, 10) at 24 h after surgery, with a ΔSOFA of 6 (4, 8). Within 30 days after surgery, 48 patients (40.0%) developed AKI, 17 (14.2%) developed infection, 4 (3.3%) developed severe liver injury, 3 (2.5%) developed respiratory failure, and 3 (2.5%) experienced MACE. During the 2-year follow-up, 8 patients (6.7%) experienced MACE and 5 (4.2%) died. Conclusion: Multi-organ dysfunction is common after cardiac surgery under CPB (median ΔSOFA, 6), accompanied by perioperative activation of multiple immune-cell subsets and upregulation of pro-inflammatory, anti-inflammatory, and chemotactic mediators. This study provides data-driven evidence and research clues for further investigation of the associations between CPB-related immune perturbations and postoperative organ dysfunction and clinical outcomes.

ObjectiveCleft palate (CP) is a common congenital deformity often associated with velopharyngeal insufficiency (VPI), which disrupts the physiological coupling between respiration and speech. Conventional clinical assessments, such as nasometry and spirometry, provide limited static data and fail to visualize the dynamic spatiotemporal distribution of lung ventilation during phonation. This study introduces spatiotemporal electrical impedance tomography (ST-EIT) to evaluate speech-respiratory functional features in CP patients compared to normal controls (NC). The aim is to characterize multi-domain respiratory patterns and to validate an interpretable machine learning framework for providing objective, quantitative evidence for clinical assessment. MethodsSeventy-five participants were enrolled in this study, comprising 37 patients with surgically repaired CP and 38 healthy volunteers matched for age, gender, and body mass index (BMI). All subjects performed standardized sustained phonation tasks while undergoing synchronous monitoring with a 16-electrode EIT system and a pneumotachograph. A comprehensive feature engineering pipeline was developed to extract physiological parameters across 3 complementary domains. (1) Temporal domain: including inspiratory/expiratory phase duration (tPhase), time constants (Tau), and inspiratory-to-expiratory time ratios (TI/TE); (2) airflow domain: comprising mean flow, peak flow, and instantaneous flow at 25%, 50%, and 75% of tidal volume; and (3) spatial domain: quantifying global and regional tidal impedance variation (TIV), global inhomogeneity (GI), and center of ventilation (CoV). Extreme Gradient Boosting (XGBoost) classifiers were trained using 5 distinct data sources (Spirometry, Nasometry, Inspiratory-EIT, Expiratory-EIT, and fused ST-EIT). Model performance was rigorously evaluated via stratified 5-fold cross-validation, and Shapley additive explanations (SHAP) were employed to quantify global and local feature contributions. ResultsThe CP group exhibited a distinct respiratory phenotype compared to controls. In the temporal domain, CP patients showed significantly shorter inspiratory (1.60 s vs.1.85 s, P<0.001) and expiratory phase durations (2.45 s vs. 3.95 s, P<0.001), indicating a rapid, shallow breathing rhythm. In the airflow domain, while inspiratory flows were comparable, the CP group demonstrated significantly elevated mean and peak flows during the expiratory phase (P<0.001), reflecting compensatory respiratory effort. Spatially, CP patients presented significant ventilation redistribution, characterized by higher regional TIV in the right-anterior (ROI1) and left-posterior (ROI4) quadrants, but lower TIV in the left-anterior (ROI2) quadrant. In terms of diagnostic accuracy, the multi-modal ST-EIT model achieved the highest performance (AUC: 0.915±0.012, Accuracy: 0.843±0.019, F1-score: 0.872±0.017), substantially outperforming models based on spirometry (AUC: 0.721) or nasometry (AUC: 0.625) alone. Interpretability analysis revealed that spatial domain features were the most critical, contributing 53.4% to the model’s decision-making, followed by temporal (25.0%) and airflow (21.6%) features. ConclusionST-EIT successfully captures the temporal, airflow, and spatial deviations in CP speech respiration that are undetectable by conventional methods—specifically, rapid phase transitions, hyperdynamic expiratory airflow, and regional ventilation heterogeneity. This study validates ST-EIT as a robust, non-invasive, and radiation-free tool for characterizing speech-respiratory dysfunction, offering high clinical value for bedside screening, rehabilitation planning, and longitudinal monitoring of patients with cleft palate.

ObjectiveCleft palate (CP) is a common congenital deformity often associated with velopharyngeal insufficiency (VPI), which disrupts the physiological coupling between respiration and speech. Conventional clinical assessments, such as nasometry and spirometry, provide limited static data and fail to visualize the dynamic spatiotemporal distribution of lung ventilation during phonation. This study introduces spatiotemporal electrical impedance tomography (ST-EIT) to evaluate speech-respiratory functional features in CP patients compared to normal controls (NC). The aim is to characterize multi-domain respiratory patterns and to validate an interpretable machine learning framework for providing objective, quantitative evidence for clinical assessment. MethodsSeventy-five participants were enrolled in this study, comprising 37 patients with surgically repaired CP and 38 healthy volunteers matched for age, gender, and body mass index (BMI). All subjects performed standardized sustained phonation tasks while undergoing synchronous monitoring with a 16-electrode EIT system and a pneumotachograph. A comprehensive feature engineering pipeline was developed to extract physiological parameters across 3 complementary domains. (1) Temporal domain: including inspiratory/expiratory phase duration (tPhase), time constants (Tau), and inspiratory-to-expiratory time ratios (TI/TE); (2) airflow domain: comprising mean flow, peak flow, and instantaneous flow at 25%, 50%, and 75% of tidal volume; and (3) spatial domain: quantifying global and regional tidal impedance variation (TIV), global inhomogeneity (GI), and center of ventilation (CoV). Extreme Gradient Boosting (XGBoost) classifiers were trained using 5 distinct data sources (Spirometry, Nasometry, Inspiratory-EIT, Expiratory-EIT, and fused ST-EIT). Model performance was rigorously evaluated via stratified 5-fold cross-validation, and Shapley additive explanations (SHAP) were employed to quantify global and local feature contributions. ResultsThe CP group exhibited a distinct respiratory phenotype compared to controls. In the temporal domain, CP patients showed significantly shorter inspiratory (1.60 s vs.1.85 s, P<0.001) and expiratory phase durations (2.45 s vs. 3.95 s, P<0.001), indicating a rapid, shallow breathing rhythm. In the airflow domain, while inspiratory flows were comparable, the CP group demonstrated significantly elevated mean and peak flows during the expiratory phase (P<0.001), reflecting compensatory respiratory effort. Spatially, CP patients presented significant ventilation redistribution, characterized by higher regional TIV in the right-anterior (ROI1) and left-posterior (ROI4) quadrants, but lower TIV in the left-anterior (ROI2) quadrant. In terms of diagnostic accuracy, the multi-modal ST-EIT model achieved the highest performance (AUC: 0.915±0.012, Accuracy: 0.843±0.019, F1-score: 0.872±0.017), substantially outperforming models based on spirometry (AUC: 0.721) or nasometry (AUC: 0.625) alone. Interpretability analysis revealed that spatial domain features were the most critical, contributing 53.4% to the model’s decision-making, followed by temporal (25.0%) and airflow (21.6%) features. ConclusionST-EIT successfully captures the temporal, airflow, and spatial deviations in CP speech respiration that are undetectable by conventional methods—specifically, rapid phase transitions, hyperdynamic expiratory airflow, and regional ventilation heterogeneity. This study validates ST-EIT as a robust, non-invasive, and radiation-free tool for characterizing speech-respiratory dysfunction, offering high clinical value for bedside screening, rehabilitation planning, and longitudinal monitoring of patients with cleft palate.

Objective: To analyze adverse event following immunization(AEFI) with the domestic bivalent human papilloma virus (HPV) vaccine among female students in primary, junior, and senior high schools in Hebei Province from 2022 to 2024, aiming to provide evidence for the vaccination program. Methods: On May 14, 2025, AEFI case data and vaccination data for the domestic bivalent HPV vaccine among female students in primary, junior, and senior high schools in Hebei Province from 2022 to 2024 were collected from the China Disease Control and Prevention Information System and the Hebei Provincial Immunization Program Information Management System, respectively. Statistical analysis was performed by using descriptive and analytical epidemiological methods, with intergroup comparisons conducted by using the Chi square test or Fisher s exact probability test. Results: From 2022 to 2024, a total of 817 900 doses of the domestic bivalent HPV vaccine were administered to female students in primary, junior, and senior high schools in Hebei Province. A total of 68 AEFI cases were reported, comprising 57 common vaccine reactions, 7 rare vaccine reactions, 3 coincidental events, and 1 psychogenic reaction. The overall AEFI reporting rate was 8.31 per 100 000 doses, 4 cases (2.30/100 000 doses), 31 cases (8.73/100 000 doses), and 33 cases (11.41/100 000 doses) were reported in 2022, 2023, and 2024, respectively, with a statistically significant difference across years ( χ 2=10.97, P <0.01). The reporting rates for common and rare vaccine reactions were 6.97 per 100 000 doses and 0.86 per 100 000 doses, respectively. The AEFI reporting rates were 15.14 per 100 000 doses among primary school girls and 8.20 per 100 000 doses among secondary school girls, though the difference was not statistically significant (Fisher s exact test, P =0.30). The reporting rate was higher after the first dose (10.91/100 000 doses) than after the second dose (5.96/100 000 doses; χ 2=5.85, P =0.02).The second quarter recorded the highest AEFI reporting rate at 11.21 per 100 000 doses. The majority of AEFI cases (56 cases, 82.35%) occurred within 24 hours post vaccination. Conclusion The domestic bivalent HPV vaccine demonstrates a favorable safety profile among female students in Hebei Province, with a low overall AEFI reporting rate that consisted predominantly of general reactions and occasional cardiac related reactions.

With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

ObjectiveType I interferon (IFN-I) signaling is essential for antiviral innate immunity, yet its sustained or excessive activation contributes to the pathogenesis of several autoimmune diseases and interferonopathies, such as systemic lupus erythematosus and Aicardi-Goutières syndrome. Current strategies targeting this pathway, exemplified by JAK inhibitors, act mainly on downstream signal transduction and provide limited direct control over upstream IFN-I production, while also carrying the risk of broad immunosuppression. Phyllanthus emblica L. has long been used in traditional medicine for inflammatory disorders, but the bioactive constituent responsible for its regulation of IFN-I signaling and the underlying molecular mechanism have not been clearly defined. This study aimed to identify the active anti-inflammatory component of P. emblica and to characterize its mechanism of action on the IFN-I pathway in macrophages. MethodsActive components ofP. emblica and their candidate targets were screened by network pharmacology using the TCMSP and DrugBank databases (oral bioavailability≥30%, drug-likeness≥0.18) and intersected with inflammation-related genes retrieved from public databases. The predicted interaction between EGCG and IFN-I pathway proteins (TBK1, IRF3, STAT1) was evaluated by molecular docking, with BX795 and GSK8612 used as reference TBK1 inhibitors. Mechanistic experiments were performed in THP-1-derived macrophages and primary bone marrow-derived macrophages (BMDM). Upstream signaling was activated by transfection of the nucleic acid analogs poly(I∶C) and poly(dA∶dT) or by lipopolysaccharide (LPS) stimulation, whereas downstream signaling was activated by exogenous IFN-β. An siRNA-mediated TREX1 knockdown model was used to mimic endogenous nucleic acid-driven interferonopathy. Expression of IFN-β1 and interferon-stimulated genes (ISGs) was measured by RT-qPCR, protein phosphorylation by Western blot, and IFN-β secretion by ELISA. Cellular thermal shift assay (CETSA) and drug affinity responsive target stability (DARTS) were used to probe the interactionbetween EGCG and IRF3. ResultsNetwork pharmacology identified (-)-epigallocatechin-3-gallate (EGCG) as a candidate IFN-I-suppressive constituent of P. emblica, with predicted binding to TBK1, IRF3, and STAT1. Molecular docking yielded binding energies of -9.2, -7.2, and -8.2 kcal/mol for TBK1, IRF3, and STAT1, respectively, indicating an affinity for TBK1 comparable to that of the reference inhibitors BX795 (-5.7 kcal/mol) and GSK8612 (-6.4 kcal/mol). EGCG suppressed IFN-β1 and ISG mRNA expression under poly (I∶C), poly (dA∶dT), and LPS stimulation in both THP-1 macrophages and BMDM. At the protein level, EGCG reduced the phosphorylation of TBK1 and IRF3 without affecting the levels of the upstream sensors cGAS and RIG-I, and lowered IFN-β secretion in a concentration-dependent manner. CETSA and DARTS showed that EGCG did not enhance the thermal stability or protease resistance of IRF3, indicating that its effect on IRF3 is indirect. Following IFN-β stimulation, prolonged EGCG treatment reduced STAT1 phosphorylation in a time-dependent manner without an apparent change in IRF9, and partially attenuated ISG transcription; this effect was not monotonicly concentration-dependent, and CXCL10 showed the most consistent suppression. In TREX1-knockdown cells, the elevated mRNA levels of ISG15, ISG56, and CXCL10 were reduced by EGCG. ConclusionEGCG suppresses IFN-I responses by concurrently inhibiting TBK1-IRF3-dependent IFN‑β production and JAK-STAT1-mediated downstream transcription. These in vitro findings provide a mechanistic basis for the anti-inflammatory use of P. emblica in traditional medicine and identify EGCG as a candidate for further evaluation in interferon-driven autoimmune disease models.

Retinal vein occlusion(RVO)is the second most common blinding retinal vascular disease, and its secondary macular edema(ME)is an important cause of visual function impairment in patients. Intravitreal injection of anti-vascular endothelial growth factor(VEGF)drugs serves as the first-line treatment, yet it is confronted with such issues as the need for repeated injections and non-response in some patients. Imaging and laboratory biomarkers play a crucial role in the early accurate diagnosis, prediction of disease progression, and evaluation of visual prognosis of RVO-ME. This study systematically reviews the research progress of imaging and laboratory biomarkers related to the prognosis of RVO-ME after anti-VEGF treatment in recent years, covering imaging biomarkers like central retinal thickness and ellipsoid zone integrity, as well as laboratory biomarkers such as serum APLN and aqueous humor IL-6. It summarizes the associations between different biomarkers and the prognosis of anti-VEGF therapy, aiming to provide a basis for the early accurate assessment and optimization of individualized treatment for RVO-ME patients, which holds significant clinical reference value.

Objective Hypothyroidism is a common clinical disease of systemic metabolic reduction,the incidence and detection rate increased year by year.Based on the clinical characteristics of hypothyroidism,the study constructed and improved animal models to provide reference for the study of hypothyroidism prevention and treatment.Methods By reviewing relevant domestic and foreign literatures,the modeling methods of hypothyroidism were summarized and analyzed.According to the etiology,pathogenesis and clinical diagnostic criteria of hypothyroidism in Chinese medicine and Western medicine,the modeling methods and principles of hypothyroidism animal models were summarized,and the advantages and disadvantages of animal models and the evaluation of clinical conformity were analyzed.Results It was found that the model of drug induction,iodine restriction and 131 I-induced hypothyroidism had high clinical anastomosis in Western medicine,and had the advantages of simple operation,high model formation rate and good repeatability,the combination of the disease model and the syndrome model of kidney yang deficiency and spleen and kidney yang deficiency have a high degree of clinical conformity in TCM.Congenital induced hypothyroidism,autoimmune induced hypothyroidism and genetic induced hypothyroidism can be studied for their unique etiology and pathogenesis,but their clinical manifestations are relatively simple and their clinical anastomosis is relatively low.At present,the construction of hypothyroidism animal model is mainly based on the pathogenesis of Western medicine,and the evaluation of the model mostly relies on laboratory detection indicators.The clinical anastomosis score of traditional Chinese medicine is generally low,and the record of animal apparent indicators is generally insufficient.Conclusion In the process of building hypothyroidism animal model,based on the pathogenesis of traditional Chinese medicine,combining the etiology of traditional Chinese medicine and the pathogenesis of Western medicine,multi-factor comprehensive modeling method can be adopted to increase the record of apparent indicators,improve the accuracy of the four diagnoses and symptoms of traditional Chinese medicine,and systematically and dynamically observe the interaction process of disease and syndrome,so as to build an animal model of hypothyroidism which is more closely aligns with with the clinical characteristics of traditional Chinese medicine and Western medicine.

Objectives:To explore whether short-course radiotherapy (SCRT)-based total neoadjuvant therapy (TNT) combined with PD-1 inhibitors could further promote tumor regression and improve the prognosis.Methods:This is a prospective, multicenter, two-arm randomized controlled, seamless phase Ⅱ/Ⅲ trial for proficient mismatch repair or microsatellite stable (pMMR/MSS) locally advanced rectal cancer (LARC). Eligible patients were randomly assigned to the iTNT (TNT+PD-1) group or the TNT group. Patients in the TNT group received SCRT (5 Gy×5) followed by 4 cycles of CAPOX or 6 cycles of mFOLFOX chemotherapy, with the iTNT group receiving SCRT followed by the same regime in combination with 4 cycles of Sintilimab. Total mesorectal excision (TME) surgery or watch and wait (W&W) was performed after neoadjuvant therapy and then 2 cycles of same regimen as before were recommended. The primary endpoints are the complete response (CR) rate for phase Ⅱ trial and 3-year disease-free survival (DFS) for phase Ⅲ trial. A total of 588 patients will be enrolled for the phase Ⅱ/Ⅲ trial. Short-term efficacy and safety data from the initial 100 treated patients were analyzed as planned.Results:From 2022-8-31 to 2023-5-24 the initial 100 patients were enrolled from 10 hospitals in China, 76.0%(76/100) patients were male, and the median age was 61 years (21-74 years). More patients had tumors located in the lower rectum (78.0%, 78/100), staged T3-4 (97.0%, 97/100) and N1-2 (93.0%, 93/100), and about half of the tumors invaded the mesorectal fascia (52.0%, 52/100) and with extramural vascular invasion (51.0%, 51/100). Analyses were performed according to the per-protocal (PP) set. All patients in the iTNT group ( n=52) and the TNT group ( n=48) completed SCRT; The 4-cycle chemotherapy±Sintilimab completion rates were 86.5% and 100.0% in the iTNT and TNT groups, respectively. In the iTNT group, 82.7% (43/52), 11.5% (6/52), and 5.8% (3/52) of the patients received 4, 3, and 2 cycles of PD-1 inhibitor. After TNT, 68 patients underwent radical surgery and 15 patients achieved cCR and adopted W&W. The pathological complete response (pCR) rates were 48.5% (16/33) and 17.1% (6/35) in the iTNT and TNT groups, with CR rates of 50.0% (25/50) and 26.1% (12/46), respectively. The incidence of treatment-related grade 3-4 adverse events was 26.9% (14/52, iTNT group) and 18.8% (9/48, TNT group), with thrombocytopenia and leukopenia being the most common. Among patients receiving immunotherapy, grade 3 immunotherapy-related adverse events occurred in 2 (3.8%, 2/52) patients: one case was pancreatitis, another case was hepatitis combined with myositis and myocarditis. Conclusion:The preliminary results show that SCRT-based TNT combined with PD-1 inhibitors could further improve the CR rate for LARC without unexpected serious adverse events.

Objective:To evaluate the effect of toric collamer lens (TICL) rotation on myopia combined with astigmatism correction after V4c TICL implantation using standardized vector analysis.Methods:An observational case series study was performed.A total of 152 patients (268 eyes) who underwent V4c TICL implantation for the correction of myopia and myopic astigmatism were enrolled at Henan Eye Hospital from January to December 2021.The preoperative spherical diopter, cylindrical diopter, and spherical equivalent (SE) were -15.00 to -3.25 D, -5.00 to -0.50 D, -16.50 to -3.88 D, respectively.Postoperative TICL vault and axis were measured by anterior segment optical coherence tomography, and postoperative TICL rotation was calculated.Uncorrected visual acuity (UCVA), best corrected visual acuity (BCVA), spherical diopter, cylindrical diopter, SE, and target astigmatism vector were recorded before and 1 month after surgery.The effectiveness index, safety index, surgically induced astigmatism vector (SIA), margin of error (ME), absolute value of the difference vector |DV|, correction index (CI), and achievement index (IS) were calculated based on the subjective refraction results 1 month after surgery and the cylindrical axis of the V4c TICL.Vector analysis parameters was compared among patients with different preoperative astigmatism, intraoperative TICL fixation, postoperative TICL rotation, and postoperative vault.The correlation between postoperative TICL rotation and TICL fixed angle deviation, postoperative vault, visual acuity and refraction, and vector analysis parameters were evaluated.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of Henan Eye Hospital (No.HNEECKY-2021[13]).Written informed consent was obtained from each subject.Results:At 1 month postoperatively, the mean safety and efficacy indices were 1.27 and 1.29, respectively.There was no statistically significant difference between the predicted SE of (-0.11±0.13)D and the postoperative SE of (-0.07±0.52)D ( t=-0.994, P=0.321).UCVA, BCVA and cylinder diopter in the operative eyes were all improved after surgery compared to before surgery and the differences were statistically significant ( t=17.854, 5.446, -25.634; all P<0.001).The rotation of V4c TICL was 0° to 25°, with a mean of (5.41±4.35)°, which was positively correlated with the V4c TICL fixed angle deviation ( rs=0.461, P<0.001), negatively correlated with postoperative cylindrical diopter and positively correlated with postoperative UCVA, |DV| and SIA ( r=-0.360, 0.191, 0.205, 0.142; all P<0.05).Vector analysis between groups showed that vault, SIA and |DV| were higher and CI and IS were lower in low astigmatism group than in high astigmatism group ( Z=-3.017, -13.569, -2.793, -2.761, -4.779; all P<0.05).V4c TICL rotation and |DV| were lower in low fixation angle difference group than in high fixation angle difference group ( Z=-7.865, -2.080; both P<0.05).Preoperative cylindrical diopter, intraoperative V4c TICL fixed angle deviation, SIA and |DV| were lower in low rotation group than in high rotation group ( Z=-2.104, -4.578, -2.456, -2.090; all P<0.05).There were no statistically significant differences in the TICL rotation or in each vector between patients with different vault after the surgery (all P>0.05). Conclusions:V4c TICL implantation can achieve good results for the correction of myopia and myopic astigmatism.There is a slight difference between the fixation axis and the target axis of V4c TICL, which affects the rotation of V4c TICL and |DV|.Postoperative V4c TICL rotation is related to TICL fixed angle deviation, postoperative UCVA, SIA, |DV| and postoperative cylindrical diopter.Postoperative vault has no significant effect on TICL rotation and differences in each vector.