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Cai CX, Nishimura A, Bowring MG, Westlund E, Tran D, Ng JH, Nagy P, Cook M, McLeggon JA, DuVall SL, Matheny ME, Golozar A, Ostropolets A, Minty E, Desai P, Bu F, Toy B, Hribar M, Falconer T, Zhang L, Lawrence-Archer L, Boland MV, Goetz K, Hall N, Shoaibi A, Reps J, Sena AG, Blacketer C, Swerdel J, Jhaveri KD, Lee E, Gilbert Z, Zeger SL, Crews DC, Suchard MA, Hripcsak G, Ryan PB. Similar Risk of Kidney Failure among Patients with Blinding Diseases Who Receive Ranibizumab, Aflibercept, and Bevacizumab: An Observational Health Data Sciences and Informatics Network Study. Ophthalmol Retina 2024; 8:733-743. [PMID: 38519026 PMCID: PMC11298306 DOI: 10.1016/j.oret.2024.03.014] [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: 02/01/2024] [Revised: 03/08/2024] [Accepted: 03/12/2024] [Indexed: 03/24/2024]
Abstract
PURPOSE To characterize the incidence of kidney failure associated with intravitreal anti-VEGF exposure; and compare the risk of kidney failure in patients treated with ranibizumab, aflibercept, or bevacizumab. DESIGN Retrospective cohort study across 12 databases in the Observational Health Data Sciences and Informatics (OHDSI) network. SUBJECTS Subjects aged ≥ 18 years with ≥ 3 monthly intravitreal anti-VEGF medications for a blinding disease (diabetic retinopathy, diabetic macular edema, exudative age-related macular degeneration, or retinal vein occlusion). METHODS The standardized incidence proportions and rates of kidney failure while on treatment with anti-VEGF were calculated. For each comparison (e.g., aflibercept versus ranibizumab), patients from each group were matched 1:1 using propensity scores. Cox proportional hazards models were used to estimate the risk of kidney failure while on treatment. A random effects meta-analysis was performed to combine each database's hazard ratio (HR) estimate into a single network-wide estimate. MAIN OUTCOME MEASURES Incidence of kidney failure while on anti-VEGF treatment, and time from cohort entry to kidney failure. RESULTS Of the 6.1 million patients with blinding diseases, 37 189 who received ranibizumab, 39 447 aflibercept, and 163 611 bevacizumab were included; the total treatment exposure time was 161 724 person-years. The average standardized incidence proportion of kidney failure was 678 per 100 000 persons (range, 0-2389), and incidence rate 742 per 100 000 person-years (range, 0-2661). The meta-analysis HR of kidney failure comparing aflibercept with ranibizumab was 1.01 (95% confidence interval [CI], 0.70-1.47; P = 0.45), ranibizumab with bevacizumab 0.95 (95% CI, 0.68-1.32; P = 0.62), and aflibercept with bevacizumab 0.95 (95% CI, 0.65-1.39; P = 0.60). CONCLUSIONS There was no substantially different relative risk of kidney failure between those who received ranibizumab, bevacizumab, or aflibercept. Practicing ophthalmologists and nephrologists should be aware of the risk of kidney failure among patients receiving intravitreal anti-VEGF medications and that there is little empirical evidence to preferentially choose among the specific intravitreal anti-VEGF agents. FINANCIAL DISCLOSURES Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.
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Affiliation(s)
- Cindy X Cai
- Wilmer Eye Institute, Johns Hopkins School of Medicine, Baltimore, Maryland.
| | - Akihiko Nishimura
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Mary G Bowring
- Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Erik Westlund
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Diep Tran
- Wilmer Eye Institute, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Jia H Ng
- Division of Kidney Diseases and Hypertension, Donald and Barbara School of Medicine at Hofstra/Northwell, New York
| | - Paul Nagy
- Department of Biomedical Informatics and Data Science, Johns Hopkins School of Medicine, Johns Hopkins University, Baltimore, Maryland
| | | | - Jody-Ann McLeggon
- Department of Biomedical Informatics, Columbia University, New York, New York
| | - Scott L DuVall
- VA Informatics and Computing Infrastructure, US Department of Veterans Affairs, Salt Lake City, Utah; Department of Internal Medicine Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, Utah
| | - Michael E Matheny
- VA Informatics and Computing Infrastructure, Tennessee Valley Healthcare System, Nashville, Tennessee; Department of Biomedical Informatics, Vanderbilt University, Nashville, Tennessee
| | - Asieh Golozar
- Odysseus Data Services, Inc., Cambridge, Massachusetts; OHDSI Center at the Roux Institute, Northeastern University, Boston, Massachusetts
| | | | - Evan Minty
- O'Brien Center for Public Health, Department of Medicine, University of Calgary, Canada
| | - Priya Desai
- Technology / Digital Solutions, Stanford Health Care and Stanford University School of Medicine, Palo Alto, California
| | - Fan Bu
- Department of Biostatistics, University of California - Los Angeles, Los Angeles, California
| | - Brian Toy
- Roski Eye Institute, Keck School of Medicine, University of Southern California; Los Angeles, California
| | - Michelle Hribar
- National Eye Institute, National Institutes of Health, Bethesda, Maryland; Casey Eye Institute, Oregon Health & Science University, Portland, Oregon
| | - Thomas Falconer
- Department of Biomedical Informatics, Columbia University, New York, New York
| | - Linying Zhang
- Department of Biomedical Informatics, Columbia University, New York, New York
| | - Laurence Lawrence-Archer
- Odysseus Data Services, Inc., Cambridge, Massachusetts; OHDSI Center at the Roux Institute, Northeastern University, Boston, Massachusetts
| | - Michael V Boland
- Mass Eye and Ear, and Harvard Medical School, Boston, Massachusetts
| | - Kerry Goetz
- National Eye Institute, National Institutes of Health, Bethesda, Maryland
| | - Nathan Hall
- Janssen Research and Development, Titusville, New Jersey
| | - Azza Shoaibi
- Janssen Research and Development, Titusville, New Jersey
| | - Jenna Reps
- Janssen Research and Development, Titusville, New Jersey
| | - Anthony G Sena
- Janssen Research and Development, Titusville, New Jersey; Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, the Netherlands
| | | | - Joel Swerdel
- Janssen Research and Development, Titusville, New Jersey
| | - Kenar D Jhaveri
- Glomerular Center at Northwell Health, Division of Kidney Diseases and Hypertension, Donald and Barbara School of Medicine at Hofstra/Northwell, New York
| | - Edward Lee
- Roski Eye Institute, Keck School of Medicine, University of Southern California; Los Angeles, California
| | - Zachary Gilbert
- Roski Eye Institute, Keck School of Medicine, University of Southern California; Los Angeles, California
| | - Scott L Zeger
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Deidra C Crews
- Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Marc A Suchard
- VA Informatics and Computing Infrastructure, US Department of Veterans Affairs, Salt Lake City, Utah; Department of Biostatistics, University of California - Los Angeles, Los Angeles, California
| | - George Hripcsak
- Department of Biomedical Informatics, Columbia University, New York, New York
| | - Patrick B Ryan
- Janssen Research and Development, Titusville, New Jersey
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Hamedani AG, Chang AY, Chen Y, VanderBeek BL. Disparities in glaucoma and macular degeneration healthcare utilization among persons living with dementia in the United States. Graefes Arch Clin Exp Ophthalmol 2024:10.1007/s00417-024-06573-z. [PMID: 38995351 DOI: 10.1007/s00417-024-06573-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Revised: 06/26/2024] [Accepted: 07/03/2024] [Indexed: 07/13/2024] Open
Abstract
PURPOSE Dementia is common among patients with primary open angle glaucoma (POAG) and neovascular age-related macular degeneration (nAMD). This study compares visit frequency, diagnostic test utilization, and treatment patterns for POAG and nAMD among persons with vs. without dementia. METHODS Optum's de-identified Clinformatics® Data Mart Database (January 1, 2000-June 30, 2022) was used for this study. Two cohorts were created from newly diagnosed POAG or nAMD patients. Within each cohort, an exposure cohort was created of newly diagnosed dementia patients. The primary outcome was the number of visits to an eye care provider. Secondary analyses for the POAG cohort assessed the number of visual field tests, optical coherence tomography (OCT), and glaucoma medication prescription coverage. The secondary analysis for the nAMD cohort included the number of injections performed. Poisson regression was used to determine the relative rates of outcomes. RESULTS POAG patients with dementia had reduced rates of eye care visits (RR 0.76, 95% CI: 0.75-0.77), lower rates of testing utilization for visual fields (RR 0.66, 95% CI: 0.63-0.68) and OCT (RR 0.67, 95% CI: 0.64-0.69), and a lower rate of glaucoma prescription medication coverage (RR 0.83, 95% CI: 0.83-0.83). nAMD patients with dementia had reduced rates of eye care visits (RR 0.74, 95% CI: 0.70-0.79) and received fewer intravitreal injections (RR 0.64, 95% CI: 0.58-0.69) than those without dementia. CONCLUSIONS POAG and nAMD patients with dementia obtained less eye care and less monitoring and treatment of their disease. These findings suggest that this population may be vulnerable to gaps in ophthalmic care.
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Affiliation(s)
- Ali G Hamedani
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Ophthalmology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA.
| | - Angela Y Chang
- Department of Ophthalmology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Yineng Chen
- Center for Preventive Ophthalmology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Brian L VanderBeek
- Department of Ophthalmology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA
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Maturi J, Maturi V, Scott AW, Carson KA, Ciulla T, Maturi R. Effect of Race and Insurance Status on Treatment and Outcomes in Diabetic Retinopathy: Analysis of 43 274 Eyes Using the IRIS Registry. JOURNAL OF VITREORETINAL DISEASES 2024; 8:270-279. [PMID: 38770080 PMCID: PMC11102718 DOI: 10.1177/24741264231221607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
Purpose: To examine disparities in visual acuity (VA) outcomes 1 year and 2 years after initiation of diabetic retinopathy (DR) or diabetic macular edema (DME) treatment in patients based on race/ethnicity and insurance status, accounting for disease severity. Methods: This retrospective analysis used the IRIS Registry and included DR patients older than 18 years with documented antivascular endothelial growth factor (anti-VEGF) treatment and VA data for at least 2 years. International Classification of Diseases, Tenth Revision, Clinical Modification codes were used to determine the severity of DR and DME presence. VA outcomes were assessed using multivariable linear regressions and anti-VEGF drug use by multivariable logistic regressions, with race and insurance status as independent variables. Main outcome measures comprised the mean VA change at 1 year and 2 years and percentage of patients treated with bevacizumab. Results: The study included 43 274 eyes. White patients presented with a higher mean VA and lower mean DR severity than Black patients and Hispanic patients. Multivariable logistic regression showed Hispanic patients were significantly more likely to be treated with bevacizumab than White patients across all insurance types, controlling for disease severity and VA. After 1 year, the letter improvement was 1.73, 1.33, and 1.13 in White patients, Black patients, and Hispanic patients, respectively. Multivariable linear regression suggested that across races, Medicaid-insured patients had significantly smaller gains in VA than privately insured patients. Conclusions: Race-based and insurance-based differences in 1-year and 2-year outcomes after anti-VEGF treatment for DR and anti-VEGF treatment patterns suggest a need to ensure earlier and more effective treatment of minority and underserved patients in the United States.
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Affiliation(s)
- Jay Maturi
- Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Retina Service, Midwest Eye Institute, Indianapolis, IN, USA
| | - Vikas Maturi
- Retina Service, Midwest Eye Institute, Indianapolis, IN, USA
| | - Adrienne W. Scott
- Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Retina Division, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Kathryn A. Carson
- Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Thomas Ciulla
- Retina Service, Midwest Eye Institute, Indianapolis, IN, USA
- Department of Ophthalmology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Raj Maturi
- Retina Service, Midwest Eye Institute, Indianapolis, IN, USA
- Department of Ophthalmology, Indiana University School of Medicine, Indianapolis, IN, USA
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Ferro Desideri L, Traverso CE, Nicolò M, Munk MR. Faricimab for the Treatment of Diabetic Macular Edema and Neovascular Age-Related Macular Degeneration. Pharmaceutics 2023; 15:pharmaceutics15051413. [PMID: 37242655 DOI: 10.3390/pharmaceutics15051413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 04/20/2023] [Accepted: 04/26/2023] [Indexed: 05/28/2023] Open
Abstract
Nowadays; intravitreal anti-vascular endothelial growth factor (VEGF) drugs are considered the first-line therapeutic strategy for treating macular exudative diseases; including wet age-related macular degeneration (w-AMD) and diabetic macular edema (DME). Despite the important clinical achievements obtained by anti-VEGF drugs in the management of w-AMD and DME; some limits still remain; including high treatment burden; the presence of unsatisfactory results in a certain percentage of patients and long-term visual acuity decline due to complications such as macular atrophy and fibrosis. Targeting the angiopoietin/Tie (Ang/Tie) pathway beyond the VEGF pathway may be a possible therapeutic strategy; which may has the potential to solve some of the previous mentioned challenges. Faricimab is a new; bispecific antibody targeting both VEGF-A and the Ang-Tie/pathway. It was approved by FDA and; more recently; by EMA for treating w-AMD and DME. Results from phase III trials TENAYA and LUCERNE (w-AMD) and RHINE and YOSEMITE (DME) have shown the potential of faricimab to maintain clinical efficacy with more prolonged treatment regimens compared to aflibercept (12 or 16 weeks) with a a good safety profile.
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Affiliation(s)
- Lorenzo Ferro Desideri
- IRCCS Ospedale Policlinico San Martino, University Eye Clinic of Genoa, 16132 Genoa, Italy
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DiNOGMI), University of Genoa, 16126 Genoa, Italy
- Department of Ophthalmology, Inselspital, Bern University Hospital, University of Bern, 3012 Bern, Switzerland
| | - Carlo Enrico Traverso
- IRCCS Ospedale Policlinico San Martino, University Eye Clinic of Genoa, 16132 Genoa, Italy
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DiNOGMI), University of Genoa, 16126 Genoa, Italy
| | - Massimo Nicolò
- IRCCS Ospedale Policlinico San Martino, University Eye Clinic of Genoa, 16132 Genoa, Italy
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DiNOGMI), University of Genoa, 16126 Genoa, Italy
| | - Marion R Munk
- Department of Ophthalmology, Inselspital, Bern University Hospital, University of Bern, 3012 Bern, Switzerland
- Bern Photographic Reading Center, Inselspital, Bern University Hospital, University of Bern, 3012 Bern, Switzerland
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The Need for Artificial Intelligence Based Risk Factor Analysis for Age-Related Macular Degeneration: A Review. Diagnostics (Basel) 2022; 13:diagnostics13010130. [PMID: 36611422 PMCID: PMC9818762 DOI: 10.3390/diagnostics13010130] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 12/16/2022] [Accepted: 12/22/2022] [Indexed: 01/04/2023] Open
Abstract
In epidemiology, a risk factor is a variable associated with increased disease risk. Understanding the role of risk factors is significant for developing a strategy to improve global health. There is strong evidence that risk factors like smoking, alcohol consumption, previous cataract surgery, age, high-density lipoprotein (HDL) cholesterol, BMI, female gender, and focal hyper-pigmentation are independently associated with age-related macular degeneration (AMD). Currently, in the literature, statistical techniques like logistic regression, multivariable logistic regression, etc., are being used to identify AMD risk factors by employing numerical/categorical data. However, artificial intelligence (AI) techniques have not been used so far in the literature for identifying risk factors for AMD. On the other hand, artificial intelligence (AI) based tools can anticipate when a person is at risk of developing chronic diseases like cancer, dementia, asthma, etc., in providing personalized care. AI-based techniques can employ numerical/categorical and/or image data thus resulting in multimodal data analysis, which provides the need for AI-based tools to be used for risk factor analysis in ophthalmology. This review summarizes the statistical techniques used to identify various risk factors and the higher benefits that AI techniques provide for AMD-related disease prediction. Additional studies are required to review different techniques for risk factor identification for other ophthalmic diseases like glaucoma, diabetic macular edema, retinopathy of prematurity, cataract, and diabetic retinopathy.
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Al-Moujahed A, Vail D, Do DV. Racial Differences in Anti-VEGF Intravitreal Injections Among Commercially Insured Beneficiaries. Ophthalmic Surg Lasers Imaging Retina 2021; 52:208-217. [PMID: 34039186 DOI: 10.3928/23258160-20210330-05] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
BACKGROUND AND OBJECTIVE This study assessed racial and ethnic differences in receiving anti-vascular endothelial growth factor (VEGF) intravitreal injections among commercially insured patients. PATIENTS AND METHODS A retrospective cohort study of 104,430 patients diagnosed with wet age-related macular degeneration (AMD), diabetic retinopathy, central retinal vein occlusion (CRVO), and branch retinal vein occlusion (BRVO) in the Optum Research Database between 2011 and 2016. Main outcomes included receiving an intravitreal anti-VEGF treatment; the first type of treatment received, if any; and subsequent treatment with ranibizumab or aflibercept among patients who were first treated with bevacizumab. RESULTS In a logistic regression model in all 104,430 patients, Asian patients were significantly less likely to receive an anti-VEGF treatment compared to white patients (odds ratio [OR] = 0.725; 95% confidence interval [CI], 0.667-0.789; P < .001), but Black and Hispanic patients were not. Overall, 19.9% (n = 20,753) of all included patients received treatment with intravitreal injections of anti-VEGF or steroids. In multinomial logistic models of treatment type among all patients who received intravitreal injections, Hispanic patients were less likely than white patients to initially be treated with ranibizumab (relative risk ratio [RRR] = 0.776; 95% CI, 0.647-0.929; P = .006) or aflibercept (RRR = 0.794; 95% CI, 0.654-0.964; P = .020). Black and Asian patients were not significantly more or less likely to receive different types of first-line injections compared to white patients. Among 17,092 patients who received bevacizumab as first-line therapy, Hispanic patients were less likely to subsequently transition to aflibercept than their white counterparts (RRR = 0.756; 95% CI, 0.634-0.903; P = .002). CONCLUSIONS The authors found minimal racial and ethnic differences in receiving anti-VEGF treatment among commercially insured patients with wet AMD, diabetic retinopathy, CRVO, and BRVO. These results are limited by the fact that all of the patients included were commercially insured, and there are limited data on the socioeconomic status of the patients in their sample. [Ophthalmic Surg Lasers Imaging Retina. 2021;52:208-217.].
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Protective Effect of Quercetin on Sodium Iodate-Induced Retinal Apoptosis through the Reactive Oxygen Species-Mediated Mitochondrion-Dependent Pathway. Int J Mol Sci 2021; 22:ijms22084056. [PMID: 33919990 PMCID: PMC8071060 DOI: 10.3390/ijms22084056] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 04/12/2021] [Accepted: 04/12/2021] [Indexed: 12/12/2022] Open
Abstract
Age-related macular degeneration (AMD) leads to gradual central vision loss and is the third leading cause of irreversible blindness worldwide. The underlying mechanisms for this progressive neurodegenerative disease remain unclear and there is currently no preventive treatment for dry AMD. Sodium iodate (NaIO3) has been reported to induce AMD-like retinal pathology in mice. We established a mouse model for AMD to evaluate the effects of quercetin on NaIO3-induced retinal apoptosis, and to investigate the pertinent underlying mechanisms. Our in vitro results indicated that quercetin protected human retinal pigment epithelium (ARPE-19) cells from NaIO3-induced apoptosis by inhibiting reactive oxygen species production and loss of mitochondrial membrane potential as detected by Annexin V-FITC/PI flow cytometry. We also evaluated the relative expression of proteins in the apoptosis pathway. Quercetin downregulated the protein expressions of Bax, cleaved caspase-3, and cleaved PARP and upregulated the expression of Bcl-2 through reduced PI3K and pAKT expressions. Furthermore, our in vivo results indicated that quercetin improved retinal deformation and increased the thickness of both the outer nuclear layer and inner nuclear layer, whereas the expression of caspase-3 was inhibited. Taken together, these results demonstrate that quercetin could protect retinal pigment epithelium and the retina from NaIO3-induced cell apoptosis via reactive oxygen species-mediated mitochondrial dysfunction, involving the PI3K/AKT signaling pathway. This suggests that quercetin has the potential to prevent and delay AMD and other retinal diseases involving NaIO3-mediated apoptosis.
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Reporting of Safety Events during Anti-VEGF Treatment: Pharmacovigilance in a Noninterventional Trial. J Ophthalmol 2020; 2020:8652370. [PMID: 33083052 PMCID: PMC7558801 DOI: 10.1155/2020/8652370] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 07/09/2020] [Accepted: 07/17/2020] [Indexed: 11/25/2022] Open
Abstract
Aim The prospective, noninterventional OCEAN study assessed the safety of intravitreal ranibizumab injections for treatment of neovascular age-related macular degeneration, diabetic macular edema, and retinal vein occlusion under real-world conditions in Germany. Methods Adults receiving ≥1 ranibizumab (0.5 mg) injections were recruited by 369 ophthalmologists and followed for 24 months. Information on adverse events (AEs) was reported by the treating physician or detected by the data management team. Collected information included observed AE, AE start and end date, intensity, causal relationship, outcome, severity, suspected drug, and actions taken. Results 2,687 AEs were reported for 1,176 of the 5,781 patients who had received a total of 32,621 injections: 27.4% nonserious AEs, 30.3% serious AEs, 27.3% nonserious adverse drug reactions (ADRs), and 15.0% serious ADRs. Most patients reported no AEs (79.7%) or only 1 AE (10.3%). AEs were most commonly reported in the Medical Dictionary for Regulatory Activities (MedDRA) System Organ Class (SOC) Eye disorders (9.4% of patients) and General disorders and administration site conditions (5.8%). The most frequent AEs by MedDRA preferred term (PT) were visual acuity reduced (3.5% of patients), intraocular pressure increased (2.5%), and drug ineffective (2.1%). AEs occurred most frequently after 3 or 4 injections (1,129 of 2,687 AEs). The proportion of AEs in the SOC Eye disorders decreased slightly with increasing number of injections, from 39.8% of events after 1 or 2 injections to 29.1% after 5 or more injections. Rates of the most frequently reported PTs did not show any consistent increase with increasing number of injections. A decrease in overall AE rates was observed over the study course. Conclusions The results did not raise any new safety concerns for ranibizumab. The findings allow conclusions to be drawn on how pharmacovigilance data can be collected even more effectively in real-world studies to facilitate discussion on benefit-risk ratio.
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Hand BN, Angell AM, Harris L, Carpenter LA. Prevalence of physical and mental health conditions in Medicare-enrolled, autistic older adults. AUTISM : THE INTERNATIONAL JOURNAL OF RESEARCH AND PRACTICE 2020; 24:755-764. [PMID: 31773968 PMCID: PMC7433648 DOI: 10.1177/1362361319890793] [Citation(s) in RCA: 88] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
While there is emerging evidence on the prevalence of physical and mental health conditions among autistic adults, less is known about this population's needs during older adulthood (aged 65+). We conducted a cross-sectional retrospective cohort study of 2016-2017 Medicare data to compare the prevalence of physical and mental health conditions in a national sample of autistic older adults (N = 4685) to a matched population comparison (N = 46,850) cohort. Autistic older adults had significantly greater odds of nearly all physical health conditions including epilepsy (odds ratio = 18.9; 95% confidence interval = 17.2-20.7), Parkinson's disease (odds ratio = 6.1; 95% confidence interval = 5.3-7.0), and gastrointestinal conditions (odds ratio = 5.2; 95% confidence interval = 4.9-5.5). Most mental health conditions were more common among autistic older adults, including schizophrenia and psychotic disorders (odds ratio = 25.3; 95% confidence interval = 22.4-28.7), attention deficit disorders (odds ratio = 24.4; 95% confidence interval = 16.2-31.0), personality disorders (odds ratio = 24.1; 95% confidence interval = 17.8-32.5), and suicidality or self-inflicted injury (odds ratio = 11.1; 95% confidence interval = 8.9-13.8). Health conditions commonly associated with advanced age in the general population (e.g. osteoporosis, cognitive disorders, heart disease, cancer, cerebrovascular disease, osteoarthritis) were also significantly more common among autistic older adults. By highlighting the significant physical and mental health needs for which autistic older adults require care, our findings can inform healthcare systems, healthcare providers, and public health initiatives seeking to promote well-being in this growing population.
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