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Protective effect of LIF-huM SCs on the retina of diabetic model rats

International Journal of ophthalmology(English edition) 2021年第10期14卷 1508-1517页

作者： Shan-Na Chen Zhi-Gang Xu Ying-Xue Ma Song Chen Guang-Hui He Mei Han Xiang Gao Jun-Hua Wang Bin Wu Jian Wang Clinical College of Ophthalmology Tianjin Medical UniversityTianjin 300070China Tianjin Eye Hospital Tianjin Eye InstituteTianjin Key Lab of Ophthalmology and Visual ScienceTianjin 300020China Xiamen Kehong Eye Hospital Xiamen 361000Fujian ProvinceChina Department of Ophthalmology Baoan Central HospitalShenzhen 518000China Department of Ophthalmology Tianjin First Central HospitalTianjin 300192China Department of Vitreous and Retinopathy Tianjin Eye HospitalTianjin Eye InstituteTianjin Key Lab of Ophthalmology and Visual ScienceTianjin 300020China Department of Ophthalmology Tianjin Eye HospitalTianjin Eye InstituteTianjin Key Lab of Ophthalmology and Visual ScienceTianjin 300020China Studying for a Doctor of Medicine Degree from Nankai University Tianjin 300000China

AIM:To investigate the protective effect of human umbilical cord mesenchymal stem cells(hUCMSCs)modified by the LIF gene on the retinal function of diabetic model rats and preliminarily explore the possible ***:A stably transfected cell line of hUCMSCs overexpressing leukemia inhibitory factor(LIF)was *** was verified by fluorescent quantitative polymerase chain reaction(qPCR).Forty-eight adult Sprague-Dawley rats were randomly divided into a normal control group(group A),streptozotocin-induced diabetic control group(group B),diabetic rats at 3mo injected with empty vector-transfected hUCMSCs(group C)or injected with LIF-hUCMSCs(group D).Four weeks after the intravitreal injection,analyses in all groups included retinal function using flash electroretinogram(F-ERG),retinal blood vessel examination of retinal flat mounts perfused with fluorescein isothiocyanate-dextran(FITCdextran),and retinal structure examination of sections using hematoxylin and eosin *** levels of adiponectin(APN),high-sensitivity C-reactive protein(hsCRP),and neurotrophin-4(NT-4)in each group was detected using immunohistochemistry,PCR,Western blotting,and ELISA,***:A stable transgenic cell line of LIF-hUCMSCs was constructed.F-ERG and FITC-dextran examinations revealed no abnormalities of retinal structure and function in group A,severe damage of the retinal blood vessels and function in group B,and improved retinal structure and function in group C and especially group ***,ELISA,and Western blot analyses revealed progressively higher APN and NT-4 expression levels in groups B,C,and D than in group ***-CRP expression was significantly higher in group B than in groups A,C,and D,and was significantly higher in group C than in group D(P<0.05).CONCLUSION:LIF-hUCMSCs protect the retina of diabetic rats by upregulating APN and NT-4 expression and downregulating hs-CRP expression in the retina.

关键词： leukemia inhibitory factor human umbilical cord mesenchymal stem cells diabetic retinopathy diabetic rats adiponectin high-sensitivity C-reactive protein neurotrophin-4

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A deep learning system for predicting time to progression of diabetic retinopathy

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NATURE MEDICINE 2024年第2期30卷 358-359页

作者： [Anonymous] Shanghai Belt and Road International Joint Laboratory for Intelligent Prevention and Treatment of Metabolic Disorders Department of Computer Science and Engineering School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Department of Endocrinology and Metabolism Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine Shanghai Diabetes Institute Shanghai Clinical Center for Diabetes Shanghai China MOE Key Laboratory of AI School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai China Department of Ophthalmology Huadong Sanatorium Wuxi China Department of Ophthalmology Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine Shanghai China Department of Ophthalmology and Visual Sciences The Chinese University of Hong Kong Hong Kong China Singapore Eye Research Institute Singapore National Eye Centre Singapore Singapore Department of Computer Science and Engineering The Hong Kong University of Science and Technology Hong Kong China Department of Chemical and Biological Engineering The Hong Kong University of Science and Technology Hong Kong China State Key Laboratory of Ophthalmology Zhongshan Ophthalmic Center Sun Yat-sen University Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science Guangzhou China Department of Ophthalmology Peking Union Medical College Hospital Peking Union Medical College Chinese Academy of Medical Sciences Beijing China Medical Records and Statistics Office Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine Shanghai China Department of Geriatrics Tongji Hospital Tongji Medical College Huazhong University of Science and Technology Wuhan China National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Tech

We developed and validated a deep learning system (termed DeepDR Plus) in a diverse, multiethnic, multi-country dataset to predict personalized risk and time to progression of diabetic retinopathy. We show that DeepDR Plus can be integrated into the clinical workflow to promote individualized intervention strategies for the management of diabetic retinopathy.

关键词： Diabetes complications Machine learning Predictive markers

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Cost-Utility Analysis of Screening for Diabetic Retinopathy in China

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Health Data science 2022年第1期2022卷 69-79页

作者： Yue Zhang Weiling Bai Ruyue Li Yifan Du Runzhou Sun Tao Li Hong Kang Ziwei Yang Jianjun Tang Ningli Wang Hanruo Liu Beijing Tongren Eye Center Beijing Key Laboratory of Ophthalmology and Visual SciencesBeijing Tongren HospitalCapital Medical UniversityBeijing Institute of OphthalmologyBeijingChina College of Computer Science Nankai UniversityTianjinChina School of Agricultural Economics and Rural Development Renmin University of ChinaBeijingChina National Institute of Health Data Science at Peking University BeijingChina Beijing Institute of Ophthalmology Beijing Tongren HospitalCapital Medical UniversityBeijing Ophthalmology&Visual Science Key LabBeijingChina School of Information and Electronics Beijing Institute of TechnologyBeijingChina

*** retinopathy(DR)has been primarily indicated to cause vision impairment and blindness,while no studies have focused on the cost-utility of telemedicine-based and community screening programs for DR in China,especially in rural and urban areas,*** developed a Markov model to calculate the cost-utility of screening programs for DR in DM patients in rural and urban settings from the societal *** incremental cost-utility ratio(ICUR)was calculated for the *** the rural setting,the community screening program obtained 1 QALY with a cost of$4179(95%CI 3859 to 5343),and the telemedicine screening program had an ICUR of$2323(95%CI 1023 to 3903)compared with no screening,both of which satisfied the criterion of a significantly cost-effective health ***,community screening programs in urban areas generated an ICUR of$3812(95%CI 2906 to 4167)per QALY gained,with telemedicine screening at an ICUR of$2437(95%CI 1242 to 3520)compared with no screening,and both were also *** further comparison,compared to community screening programs,telemedicine screening yielded an ICUR of 1212(95%CI 896 to 1590)per incremental QALY gained in rural setting and 1141(95%CI 859 to 1403)in urban setting,which both meet the criterion for a significantly cost-effective health *** telemedicine and community screening for DR in rural and urban settings were cost-effective in China,and telemedicine screening programs were more cost-effective.

关键词： Diabetic gained criterion

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Development and Validation of an Automatic Ultrawide-Field Fundus Imaging Enhancement System for Facilitating Clinical Diagnosis:A Cross-Sectional Multicenter Study

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Engineering 2024年第10期41卷 179-188页

作者： Qiaoling Wei Zhuoyao Gu Weimin Tan Hongyu Kong Hao Fu Qin Jiang Wenjuan Zhuang Shaochi Zhang Lixia Feng Yong Liu Suyan Li Bing Qin Peirong Lu Jiangyue Zhao Zhigang Li Songtao Yuan Hong Yan Shujie Zhang Xiangjia Zhu Jiaxu Hong Chen Zhao Bo Yan Department of Ophthalmology Eye&ENT Hospital of Fudan UniversityShanghai 200231China School of Computer Science Shanghai Key Laboratory of Intelligent Information ProcessingFudan UniversityShanghai 200433China The Affiliated Eye Hospital of Nanjing Medical University Nanjing 210029China Ningxia Eye Hospital People’s Hospital of Ningxia Hui Autonomous RegionThird Clinical Medical College of Ningxia Medical UniversityYinchuan 750002China Department of Ophthalmology The First Affiliated Hospital of Anhui Medical UniversityHefei 230022China Southwest Hospital/Southwest Eye Hospital Third Military Medical University(Army Medical University)Chongqing 400038China Key Lab of Visual Damage and Regeneration Restoration of Chongqing Chongqing 400038China Department of Ophthalmology The Affiliated Xuzhou Municipal Hospital of Xuzhou Medical UniversityXuzhou 221000China Department of Ophthalmology Suqian First Hospital of Jiangsu Province HospitalSuqian 223800China Department of Ophthalmology The First Affiliated Hospital of Soochow UniversitySuzhou 215006China Department of Ophthalmology The Fourth Affiliated Hospital of China Medical UniversityEye Hospital of China Medical UniversityShenyang 110000China Department of Ophthalmology The First Affiliated Hospital of Zhengzhou UniversityZhengzhou 450052China Department of Ophthalmology Jiangsu Province HospitalNanjing 210029China Shaanxi Eye Hospital Xi’an People’s Hospital(Xi’an Fourth Hospital)The Affiliated People’s Hospital of Northwest UniversityXi’an 710004China

In ophthalmology,the quality of fundus images is critical for accurate diagnosis,both in clinical practice and in artificial intelligence(AI)-assisted *** the broad view provided by ultrawide-field(UWF)imaging,pseudocolor images may conceal critical lesions necessary for precise *** address this,we introduce UWF-Net,a sophisticated image enhancement algorithm that takes disease characteristics into *** the Fudan University ultra-wide-field image(FDUWI)dataset,which includes 11294 Optos pseudocolor and 2415 Zeiss true-color UWF images,each of which is rigorously annotated,UWF-Net combines global style modeling with feature-level lesion *** consistency loss is also applied to maintain fundus feature integrity,significantly improving image *** and qualitative evaluations demonstrated that UWF-Net outperforms existing methods such as contrast limited adaptive histogram equalization(CLAHE)and structure and illumination constrained generative adversarial network(StillGAN),delivering superior retinal image quality,higher quality scores,and preserved feature details after *** disease classification tasks,images enhanced by UWF-Net showed notable improvements when processed with existing classification systems over those enhanced by StillGAN,demonstrating a 4.62%increase in sensitivity(SEN)and a 3.97%increase in accuracy(ACC).In a multicenter clinical setting,UWF-Net-enhanced images were preferred by ophthalmologic technicians and doctors,and yielded a significant reduction in diagnostic time((13.17±8.40)s for UWF-Net enhanced images vs(19.54±12.40)s for original images)and an increase in diagnostic accuracy(87.71%for UWF-Net enhanced images vs 80.40%for original images).Our research verifies that UWF-Net markedly improves the quality of UWF imaging,facilitating better clinical outcomes and more reliable AI-assisted disease *** clinical integration of UWF-Net holds great

关键词： Ultrawide-field imaging Fundus photography Image enhancement algorithm Artificial intelligence Multicenter study Artificial intelligence-assisted diagnostics Diagnostic accuracy

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A topological-aware automatic grading model corneal epithelial damage evaluation from full Corneal Fluorescence Staining images

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Computers in Biology and Medicine 2025年 184卷 109451-109451页

作者： Ren, Zi-Kai Feng, Jun Tian, Lei Wang, Kai-Ni Wang, Jing-Yi Shu, Yuan-Chao Hao, Yi-Ran Jie, Ying Zhou, Guang-Quan School of Biological Science and Medical Engineering Southeast University Nanjing210096 China Beijing Institute of Ophthalmology Beijing Tongren Eye Center Beijing Tongren Hospital Capital Medical University Beijing Ophthalmology and Visual Science Key Lab Beijing100730 China College of Control Science and Engineering Zhejiang University Hangzhou310027 China

Corneal Fluorescence Staining (CFS) imaging is commonly employed for assessing corneal epithelial damage. Automating the grading of CFS images can minimize subjectivity in clinical evaluations and enhance diagnostic efficiency. Existing methods typically depend on the texture and morphological information extracted from whole CFS images, often neglecting the spatial and distribution information between stained regions. This oversight hinders the accurate evaluation of corneal epithelial injury states. This study proposes a three-stage automatic corneal epithelial damage assessment model for full CFS images, optimizing grading by considering topological features among detected stained regions, which are crucial for accurately interpreting the spatial properties of objects within an image. Accurate corneal localization, robust to variations in contrast, is first achieved by integrating CFS images’ intensity and phase information, subsequently by a multi-scale morphological top-hat operator concerning their prior shape to detect the stained regions. Finally, a multi-scale graph structure is constructed based on the detected stained areas, and distance-weighted topological features, along with textural and morphological features, are extracted into an automatic grading model based on an ensemble model. Experiments on an in-house dataset of CFS images annotated with six categories of Ocular Surface Staining (OSS) scores reveal that incorporating topological features achieves the highest Accuracy (0.7589), F1 score (0.7449), and AUC (0.9335). Moreover, topological features outperformed other individual features. These findings underscore the effectiveness of our proposed model in CFS grading, indicating its potential for assessing corneal epithelial damage. Additionally, the valuable insights provided by topological features into the spatial distribution patterns of staining suggest promising applications for enhancing disease classification and supporting more informed c

关键词： Damage detection

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3D printed biomimetic epithelium/stroma bilayer hydrogel implant for corneal regeneration

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Bioactive Materials 2022年第11期7卷 234-247页

作者： Binbin He Jie Wang Mengtian Xie Miaoyi Xu Yahan Zhang Huijie Hao Xiaoli Xing William Lu Quanhong Han Wenguang Liu School of Material Science and Engineering Tianjin Key Laboratory of Composite and Functional MaterialsTianjin UniversityTianjin300350China Clinical College of Ophthalmology Tianjin Medical UniversityTianjin Key Lab of Ophthalmology and Visual ScienceTianjin Eye InstituteTianjin Eye HospitalGansu Road 4Heping DistrictTianjin300020China Tianjin International Joint Research and Development Centre of Ophthalmology and Vision Science Eye Institute and School of OptometryTianjin Medical University Eye HospitalTianjin300384China Department of Orthopaedic and Traumotology The University of Hong Kong21 Sassoon RdHong KongPR China

Corneal regeneration has always been a challenge due to its sophisticated structure and undesirable keratocyte-fibroblast transformation. Herein, we propose 3D printing of a biomimetic epithelium/stroma bilayer implant for corneal regeneration. Gelatin methacrylate (GelMA) and long-chain poly(ethylene glycol) diacrylate (PEGDA) are blended to form a two-component ink, which can be printed to different mechanically robust programmed PEGDA-GelMA objects by Digital Light Processing (DLP) printing technology, due to the toughening effect of crystalline crosslinks from long-chain PEGDA on GelMA hydrogel after photo-initiated copolymerization. The printed PEGDA-GelMA hydrogels support cell adhesion, proliferation, migration, meanwhile demonstrating a high light transmittance, and an appropriate swelling degree, nutrient permeation and degradation rate. A bi-layer dome-shaped corneal scaffold consisting of rabbit corneal epithelial cells (rCECs)-laden epithelia layer and rabbit adipose-derived mesenchymal stem cells (rASCs)-laden orthogonally aligned fibrous stroma layer can be printed out with a high fidelity and robustly surgical handling ability. This bi-layer cells-laden corneal scaffold is applied in a rabbit keratoplasty model. The post-operative outcome reveals efficient sealing of corneal defects, re-epithelialization and stromal regeneration. The concerted effects of microstructure of 3D printed corneal scaffold and precisely located cells in epithelia and stroma layer provide an optimal topographical and biological microenvironment for corneal regeneration.

关键词： 3D printing Hydrogel Bi-layer scaffold Corneal regeneration

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The binocular intraocular lens power difference in eyes with different axial lengths

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International Journal of ophthalmology(English edition) 2022年第6期15卷 924-931页

作者： Ming-Hui Deng Xiao-Gang Wang Song Chen Xue-Feng Shi Clinical College of Ophthalmology Tianjin Medical UniversityTianjin 300070China Tianjin Key Lab of Ophthalmology and Visual Science Tianjin Eye InstituteTianjin Eye HospitalTianjin 300020China Department of Cataract Linfen Yaodu Eye HospitalLinfen 042000Shanxi ProvinceChina Department of Cataract Shanxi Eye Hospital Affiliated to Shanxi Medical UniversityTaiyuan 030002Shanxi ProvinceChina

AIM:To investigate the binocular intraocular lens(IOL)power difference in eyes with short,normal,and long axial lengths(AL)using Lenstar LS 900 optical ***:A total of 716(1432 eyes)participants were *** groups were categorized into short(group A:AL<22 mm),normal(group B:22 mm≤AL≤25 mm),and long AL groups(group C:AL>25 mm).The central corneal thickness(CCT),anterior chamber depth(ACD),lens thickness(LT),AL,anterior corneal keratometry,whiteto-white(WTW),pupil diameter(PD),as well as IOL power calculated using embedded Barrett formula were ***-Altman plots were used to test the agreement of the binocular ***:In group A,the CCT of the right eye was significantly thinner than that of the left eye(P=0.044)with a difference of-2±8μm[95%limits of agreement(LoA),-17.8 to 13.2μm].For group B,the PD and IOL power in the right eye were significantly lower than those of the left eye(P=0.001,<0.001)with a difference of-0.05±0.32 mm(95%LoA,-0.68 to 0.58 mm)and-0.18±1.01 D(95%LoA,-2.2 to 1.8 D).The AL of right eye was longer than that of the left eye(P=0.002)with a difference of 0.04±0.25 mm(95%Lo A,-0.45 to 0.52 mm).No significant difference was observed for all the binocular parameters in group *** percentage of participants with binocular IOL power difference within±0.5 D were 62%(31/50),68.3%(339/496),and 38.8%(66/170)in groups A,B,and C,***:The binocular parameters related to IOL power are in good agreement,but the binocular IOL power difference of more than half of participants with long AL is more than 0.50 D.

关键词： axial length intraocular lens power binocular difference

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Macular Perfusion Changes and Ganglion Cell Complex Loss in Patients with Silicone Oil-related visual Loss

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Biomedical and Environmental sciences 2020年第3期33卷 151-157页

作者： MA Ya ZHU Xiao Qing PENG Xiao Yan Beijing Institute of Ophthalmology Beijing Tongren Eye CenterBeijing Ophthalmology and Visual Science Key LabBeijing Tongren HospitalCapital Medical UniversityBeijing 100730China Beijing Tongren Eye Center Beijing Ophthalmology and Visual Science Key LabBeijing Tongren HospitalCapital Medical UniversityBeijing 100730China

Objective The aim of this study was to investigate macular perfusion changes and ganglion cell complex(GCC)loss in patients with unexplained visual loss following vitrectomy and silicone oil(SO)tamponade,and to evaluate the correlation between retinal blood flow and GCC loss using optical coherence tomography angiography(OCTA)and optical coherence tomography(OCT).Methods This retrospective study included seven eyes(seven patients)with unexpected visual loss after vitrectomy and SO *** was used to evaluate the alterations in retinal vessel density(VD)in the superficial capillary plexus(SCP),deep capillary plexus(DCP),and radial peripapillary capillary plexus(RPCP).OCT was used to measure the thickness of GCC and retinal nerve fiber layer(RNFL).Medical records of patients were *** Quantitative analysis of OCTA images revealed a significant reduction in SCP VD in the affected eyes compared with the controls(all sections P<0.05).No difference was found in GCC thickness,but FLV(focal loss volume)and GLV(global loss volume)were significantly higher in the affected eyes(both P<0.001).SCP VD was inversely correlated with FLV and *** Silicone oil-related severe visual loss was associated with superficial retinal microvasculature damage and ganglion cell apoptosis.

关键词： Silicone oil visual loss Optical coherence tomography angiography Ganglion cell complex

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Prevalence of and risk factors for diabetic macular edema in a northeastern Chinese population

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International Journal of ophthalmology(English edition) 2022年第2期15卷 320-326页

作者： Zhong Lin Feng-Hua Wang Liang Wen Yu Wang Dong Li Xiao-Xia Ding Yu Dou Gang Zhai Yuan-Bo Liang The Eye Hospital School of Ophthalmology and OptometryWenzhou Medical UniversityWenzhou 325027Zhejiang ProvinceChina National Clinical Research Center for Ocular Diseases Wenzhou 325027Zhejiang ProvinceChina Beijing Tongren Eye Center Beijing Tongren HospitalCapital Medical UniversityBeijing Ophthalmology&Visual Science Key LabBeijing 100730China Fushun Eye Hospital Fushun 113006Liaoning ProvinceChina

AIM:To estimate the prevalence of diabetic macular edema(DME) and clinically significant macular edema(CSME),and to assess their risk factors in a population with type 2 diabetic mellitus(T2DM) located in northeast ***:Patients were included from the Fushun Diabetic Retinopathy Cohort Study(FS-DIRECT),a community-based study conducted in northeast *** presence of DME and CSME was determined by the Early Treatment Diabetic Retinopathy Study(ETDRS) retinopathy scale of fundus *** age-standardized prevalence of DME and CSME was *** association between DME/CSME and risk factors was analyzed in a multivariate Logistical ***:A total of 292(15.4%) and 166(8.8%) patients were diagnosed as DME and CSME,yielding the age and sex standardized prevalence of 13.5%(95%CI:11.9%-15.0%),and 7.1%(95%CI:5.9%-8.3%),*** patients had a higher prevalence of DME compared to their male counterparts(15.7% vs 10.4%,P=0.03).Multivariable Logistic regression analysis showed that younger age,insulin use,proteinuria,longer duration of diabetes,and higher glycosylated hemoglobin A1c,were associated with the prevalence of DME and *** with higher fasting plasma glucose,systolic blood pressure,and blood urea nitrogen were also found to be associated with ***:Early fundus screening in diabetic patients is invaluable and given the relatively high prevalence of DME and CSME in this study cohort,those with a high risk of sight threatening maculopathy would invariably benefit from earlier detection.

关键词： diabetic macular edema clinically significant macular edema diabetic retinopathy

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Evaluation of preoperative dry eye in people undergoing corneal refractive surgery to correct myopia

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International Journal of ophthalmology(English edition) 2021年第7期14卷 1047-1051页

作者： Peng-Fei Zhao Yue-Hua Zhou Ya-Bin Hu Kai Cao Ying Qi Ning Guo Xu Gao Qing-Wei Zhang Chang-Bin Zhai Beijing Tongren Eye Center Beijing Tongren HospitalBeijing Ophthalmology&Visual Science Key LabBeijing Institute of OphthalmologyCapital Medical UniversityBeijing 100730China Beijing Vision Optometry Beijing 100191China College of Ophthalmology Chengdu University of Traditional Chinese MedicineChengdu 610075Sichuan ProvinceChina

AIM: To investigate the incidence of preoperative dry eye and related factors in patients undergoing corneal refractive surgery to correct ***: A total of 141 patients with myopia who underwent corneal refractive surgery were surveyed by questionnaires, tear film break-up time(BUT) test, Schimer I test(SIt), corneal fluorescein staining(FL) test and diagnosed according to the currently recognized domestic diagnostic criteria for dry eye. Correlation analysis of factors such as age, gender, regular wearing of contact lens(CL), diopter(spherical equivalent), corneal thickness, and corneal curvature that may affect the onset of dry eye was carried out to clarify the main influencing factors. RESULTS: There were 64 patients(45.39%) diagnosed with dry eye. The male patients(20.31%) was significantly less than that of non-dry eye subjects(41.56%;χ~2=7.260, P=0.007);the proportion of patients with dry eye wearing CL(81.25%) was significantly higher than that of non-dry eye subjects(51.95%;χ~2=13.234, P<0.001);the median diopter level of dry eye patients was-6.59(IQR:-8.87,-4.58) D, and the median diopter level of non-dry eye subjects was-5.69(IQR:-7.15,-4.03) D. The diopter level of dry eye patients was significantly higher(Z=-2.086, P=0.019). However, the age, best corrected visual acuity, and intraocular pressure of dry eye patients were not statistically different from those of non-dry eye subjects(t=-0.257,-0.383 and 0.778, P=0.798, 0.702, and 0.438);the corneal thickness and corneal curvature(K1 and K2) were also not statistically different either(Z=-1.487,-1.036 and-1.707, P=0.137, 0.300, and 0.088). The research further analyzes the three significant factors in the single factor analysis(gender, CL wear, and diopter) in a multi-factor way: CL wear and diopter were the influencing factors of dry eye disease. Among them, CL wear increased the risk of dry eye by 2.934 times compared with no CL wear;for every 1 D increase in diopter, the risk of dry eye incre

关键词： dry eye corneal refractive surgery preoperative myopia

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