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Yang T, Lu Y, Zeng F, Yu R, Zou C, Hu R, Jin G, Liu J. Prognosis and factors related to anti-VEGF therapy in patients with retinal vein occlusion and concomitant carotid artery disease. Sci Rep 2024; 14:24634. [PMID: 39428411 PMCID: PMC11491442 DOI: 10.1038/s41598-024-75604-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2024] [Accepted: 10/07/2024] [Indexed: 10/22/2024] Open
Abstract
To evaluate the prognosis and influencing factors of retinal vein occlusion (RVO) in patients with concomitant carotid artery disease receiving anti-vascular endothelial growth factor (VEGF) treatment. Patients diagnosed with RVO and receiving anti-VEGF treatment were included. Eye and clinical data were collected. The patients were divided into a group with concomitant carotid artery disease (Group A) and a group without concomitant carotid artery disease (Group B). The risk factors affecting the visual prognosis of RVO patients with concomitant carotid artery disease were analyzed. Among 177 eligible patients with RVO, 101 had concomitant carotid artery disease (Group A), while 76 did not (Group B). Group A had a significantly lower treatment effectiveness rate than Group B (P < 0.001). The age and platelet distribution width of Group A were significantly higher than Group B (P < 0.001). Multivariate logistic regression analysis showed that baseline best-corrected visual acuity (BCVA), disorganization of retinal inner layers (DRIL), external limiting membrane (ELM) disruption, and red blood cell distribution width (RDW) were significantly associated with the posttreatment visual prognosis of RVO patients with concomitant carotid artery disease(P < 0.05). RVO patients with concomitant carotid artery disease had a significantly lower treatment effectiveness rate than RVO patients without carotid artery disease. The poor baseline BCVA, DRIL, ELM disruption, and a greater RDW are risk factors for low anti-VEGF treatment efficacy among RVO patients with concomitant carotid artery disease.
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Affiliation(s)
- Tingting Yang
- Department of Ophthalmology, The Affiliated Qingyuan Hospital (Qingyuan People's Hospital), Guangzhou Medical University, Qingyuan, 511518, China
| | - Yamei Lu
- Department of Ophthalmology, The Affiliated Qingyuan Hospital (Qingyuan People's Hospital), Guangzhou Medical University, Qingyuan, 511518, China
| | - Feng Zeng
- Department of Ophthalmology, The Affiliated Qingyuan Hospital (Qingyuan People's Hospital), Guangzhou Medical University, Qingyuan, 511518, China
| | - Ruixia Yu
- Department of Ophthalmology, The Affiliated Qingyuan Hospital (Qingyuan People's Hospital), Guangzhou Medical University, Qingyuan, 511518, China
| | - Chunhui Zou
- Department of Ophthalmology, The Affiliated Qingyuan Hospital (Qingyuan People's Hospital), Guangzhou Medical University, Qingyuan, 511518, China
| | - Rongsheng Hu
- Department of Urology, The Affiliated Qingyuan Hospital (Qingyuan People's Hospital), Guangzhou Medical University, Qingyuan, 511518, China
| | - Guangming Jin
- Department of Ophthalmology, State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, 510060, China.
| | - Jiayan Liu
- Department of Ophthalmology, The Affiliated Qingyuan Hospital (Qingyuan People's Hospital), Guangzhou Medical University, Qingyuan, 511518, China.
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Drakopoulos M, Hooshmand D, Machlab LA, Bryar PJ, Hammond KJ, Mirza RG. Machine Teaching Allows for Rapid Development of Automated Systems for Retinal Lesion Detection From Small Image Datasets. Ophthalmic Surg Lasers Imaging Retina 2024; 55:475-478. [PMID: 38752915 DOI: 10.3928/23258160-20240410-01] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/17/2024]
Abstract
Machine teaching, a machine learning subfield, may allow for rapid development of artificial intelligence systems able to automatically identify emerging ocular biomarkers from small imaging datasets. We sought to use machine teaching to automatically identify retinal ischemic perivascular lesions (RIPLs) and subretinal drusenoid deposits (SDDs), two emerging ocular biomarkers of cardiovascular disease. IRB approval was obtained. Four small datasets of SD-OCT B-scans were used to train and test two distinct automated systems, one identifying RIPLs and the other identifying SDDs. An open-source interactive machine-learning software program, RootPainter, was used to perform annotation and training simultaneously over a 6-hour period. For SDDs at the B-scan level, test-set accuracy = 92%, sensitivity = 100%, specificity = 88%, positive predictive value (PPV) = 82%, and negative predictive value (NPV) = 100%. For RIPLs at the B-scan level, test-set accuracy = 90%, sensitivity = 60%, specificity = 93%, PPV = 50%, and NPV = 95%. Machine teaching demonstrates promise within ophthalmic imaging to rapidly allow for automated identification of novel biomarkers from small image datasets. [Ophthalmic Surg Lasers Imaging Retina 2024;55:475-478.].
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Bousquet E, Santina A, Au A, Somisetty S, Abraham N, Voichanski S, Estawro R, Fouad YA, Romero-Morales V, Bakhoum MF, Sarraf D. Retinal Ischemic Perivascular Lesions Are Associated With Myocardial Infarction in Patients With Coronary Artery Disease. Am J Ophthalmol 2024; 264:224-228. [PMID: 38552932 DOI: 10.1016/j.ajo.2024.03.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Revised: 03/14/2024] [Accepted: 03/17/2024] [Indexed: 07/20/2024]
Abstract
PURPOSE To evaluate the association of retinal ischemic perivascular lesions (RIPLs) with myocardial infarction (MI) among patients diagnosed with coronary artery diseases (CAD). DESIGN Retrospective cross-sectional study. METHODS Consecutive patients (317 patients) with CAD who underwent macular spectral domain optical coherence tomography (SD-OCT) were captured. Patients with CAD who developed MI were compared to those without MI. SD-OCT were reviewed by 2 independent and masked graders for the presence of RIPLs. Medical records were reviewed. Multivariate logistic regression analysis was used to evaluate the relationship between RIPLs and MI including the following covariates age, gender, smoking status, hypertension, diabetes, dyslipidemia and body mass index. RESULTS Of 317 patients with CAD for whom OCT scans were available to study, there were 54 (17%) with a history of MI. A higher prevalence of RIPLs was observed in the MI group compared to the non-MI group (59.3% vs 35.7%; P < .001). The presence of RIPLs was significantly associated with MI with an odds ratio of 3 (1.91-4.74; P < .001), after adjusting for age, gender, smoking status, hypertension, diabetes, dyslipidemia, and body mass index. CONCLUSIONS The presence of RIPLs, detected with SD-OCT, is significantly associated with MI in patients with CAD. These findings underscore the potential clinical utility of incorporating RIPL evaluation in the medical management of CAD.
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Affiliation(s)
- Elodie Bousquet
- Form the Retinal Disorders and Ophthalmic Genetics Division (E.B., A.S., A.A., S.S., N.A., S.V., R.E., Y.A.F., V.R., D.S.), Stein Eye Institute, University of California Los Angeles, David Geffen School of Medicine at UCLA, Los Angeles, California, USA; Department of Ophthalmology (E.B.), University of Paris Cité, Lariboisière Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France
| | - Ahmad Santina
- Form the Retinal Disorders and Ophthalmic Genetics Division (E.B., A.S., A.A., S.S., N.A., S.V., R.E., Y.A.F., V.R., D.S.), Stein Eye Institute, University of California Los Angeles, David Geffen School of Medicine at UCLA, Los Angeles, California, USA
| | - Adrian Au
- Form the Retinal Disorders and Ophthalmic Genetics Division (E.B., A.S., A.A., S.S., N.A., S.V., R.E., Y.A.F., V.R., D.S.), Stein Eye Institute, University of California Los Angeles, David Geffen School of Medicine at UCLA, Los Angeles, California, USA
| | - Swathi Somisetty
- Form the Retinal Disorders and Ophthalmic Genetics Division (E.B., A.S., A.A., S.S., N.A., S.V., R.E., Y.A.F., V.R., D.S.), Stein Eye Institute, University of California Los Angeles, David Geffen School of Medicine at UCLA, Los Angeles, California, USA
| | - Neda Abraham
- Form the Retinal Disorders and Ophthalmic Genetics Division (E.B., A.S., A.A., S.S., N.A., S.V., R.E., Y.A.F., V.R., D.S.), Stein Eye Institute, University of California Los Angeles, David Geffen School of Medicine at UCLA, Los Angeles, California, USA
| | - Shilo Voichanski
- Form the Retinal Disorders and Ophthalmic Genetics Division (E.B., A.S., A.A., S.S., N.A., S.V., R.E., Y.A.F., V.R., D.S.), Stein Eye Institute, University of California Los Angeles, David Geffen School of Medicine at UCLA, Los Angeles, California, USA; Retina unit, Ophthalmology Department (S.V.), Hadassah Medical Center and The Hebrew University of Jerusalem, Jerusalem, Israël
| | - Rania Estawro
- Form the Retinal Disorders and Ophthalmic Genetics Division (E.B., A.S., A.A., S.S., N.A., S.V., R.E., Y.A.F., V.R., D.S.), Stein Eye Institute, University of California Los Angeles, David Geffen School of Medicine at UCLA, Los Angeles, California, USA; Retina Department (R.E.), Al-Watany Eye Hospital, Cairo, Egypt
| | - Yousef A Fouad
- Form the Retinal Disorders and Ophthalmic Genetics Division (E.B., A.S., A.A., S.S., N.A., S.V., R.E., Y.A.F., V.R., D.S.), Stein Eye Institute, University of California Los Angeles, David Geffen School of Medicine at UCLA, Los Angeles, California, USA; Department of Ophthalmology (Y.A.F.), Ain Shams University Hospitals, Cairo, Egypt
| | - Veronica Romero-Morales
- Form the Retinal Disorders and Ophthalmic Genetics Division (E.B., A.S., A.A., S.S., N.A., S.V., R.E., Y.A.F., V.R., D.S.), Stein Eye Institute, University of California Los Angeles, David Geffen School of Medicine at UCLA, Los Angeles, California, USA; Department of Retina (V.R.), Instituto Mexicano de Oftalmología, Querétaro, México
| | - Mathieu F Bakhoum
- Department of Ophthalmology and Visual Science (M.F.B.), Yale University School of Medicine, New Haven, USA; Department of Pathology (M.F.B.), Yale University School of Medicine, New Haven, USA; Yale Cancer Center (M.F.B.), Yale University, New Haven, USA
| | - David Sarraf
- Form the Retinal Disorders and Ophthalmic Genetics Division (E.B., A.S., A.A., S.S., N.A., S.V., R.E., Y.A.F., V.R., D.S.), Stein Eye Institute, University of California Los Angeles, David Geffen School of Medicine at UCLA, Los Angeles, California, USA; Greater Los Angeles VA Healthcare Center (D.S.), Los Angeles, California, USA.
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