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Clinical Optometry 2020Hypertensive retinopathy and choroidopathy have important short- and long-term implications on patients' overall health and mortality. Eye care professionals should be... (Review)
Review
Hypertensive retinopathy and choroidopathy have important short- and long-term implications on patients' overall health and mortality. Eye care professionals should be familiar with the severity staging of these entities and be able to readily recognize and refer patients who are in need of systemic blood pressure control. This paper will review the diagnosis, staging, treatment, and long-term implications for vision and mortality of patients with hypertensive retinopathy and choroidopathy.
PubMed: 32440245
DOI: 10.2147/OPTO.S183492 -
Medical Science Monitor : International... Jan 2022The number of patients with arterial hypertension is continually increasing. Hypertension can cause organ complications, called hypertension-mediated organ damage... (Review)
Review
The number of patients with arterial hypertension is continually increasing. Hypertension can cause organ complications, called hypertension-mediated organ damage (HMOD). One example is hypertensive retinopathy, in which high blood pressure (BP) damages both the retinal microcirculation and the retinal nerve fiber layer (RNFL). This can result in progressive and painless vision deterioration in some groups of patients. Unlike anywhere else in the human body, the microvasculature of the retina can be observed in vivo, and the progression of changes can be closely monitored. The harmful effect of increased BP on the eye is not only limited to hypertensive retinopathy, but can also lead to an exacerbation of diabetic retinopathy (DR) and to an increase in intraocular pressure (IOP), and it can also trigger the formation of thromboembolic lesions. This review presents an update on the pathogenesis of hypertensive retinopathy and the use of adaptive optics (AO) combined with optical coherence tomography (OCT) to evaluate the retinal microvasculature. The latest progress and directions of research in the field of hypertensive retinopathy are also discussed.
Topics: Angiotensin-Converting Enzyme Inhibitors; Antihypertensive Agents; Humans; Hypertension; Hypertensive Retinopathy; Tomography, Optical Coherence
PubMed: 35046380
DOI: 10.12659/MSM.935135 -
European Review For Medical and... Sep 2022Hypertensive retinopathy (HR) is the most common ocular manifestation of systemic arterial hypertension. This paper aims to summarize the current knowledge of HR,... (Review)
Review
OBJECTIVE
Hypertensive retinopathy (HR) is the most common ocular manifestation of systemic arterial hypertension. This paper aims to summarize the current knowledge of HR, reviewing its classical features, such as epidemiology, pathophysiology, clinical manifestations, classifications, management and the most significant systemic correlations. We also provide an update on the latest advances in new technologies focusing on novel instrumental classifications.
MATERIALS AND METHODS
A literature search was performed to identify articles regarding HR listed in Embase, PubMed, Medline (Ovid) and Scopus database up to 1 December 2021. The reference lists of the analyzed articles were also considered a source of literature information. The following keywords were used in various combinations: hypertensive retinopathy, hypertension and eye, hypertensive retinopathy and systemic correlations, optical coherence tomography (OCT) and hypertensive retinopathy, optical coherence tomography angiography (OCTA) and hypertensive retinopathy, adaptive optics (AO) and hypertensive retinopathy. The authors analyzed all English articles found using the aforementioned keywords. All the publications were thoroughly reviewed to create a detailed overview of this issue.
RESULTS
HR signs have a significative association with cardiovascular, cerebrovascular and other systemic diseases. Patients with arteriosclerotic changes and, at the same time, severe HR, are at increased risk for coronary disease, peripheral vascular disease, stroke and dementia. HR is even now diagnosed and classified by its clinical appearance on a fundoscopic exam that is limited by interobserver variability. New technologies, like OCT, OCTA, AO and artificial intelligence may be used to develop a new instrumental classification that could become an objective and quantitative method for the evaluation of this disease. They could be useful to evaluate the subclinical retinal microvascular changes due to hypertension that may reflect the involvement of other vital organs.
CONCLUSIONS
The eye is the only organ in the human body where changes in the blood vessels due to systemic hypertension can be studied in vivo. All doctors should be familiar with this disease because it has been largely demonstrated that signs of HR are correlated to patient's health and mortality. Researchers should develop a new common, standardized, and objective method to assess hypertensive retinal changes; new technologies may have a significant role in this field. This review takes most of the literature published so far, including the OCTA studies in order to stimulate new points of reference to standardize parameters and new diagnostic markers of this disease.
Topics: Artificial Intelligence; Humans; Hypertension; Hypertensive Retinopathy; Retina; Tomography, Optical Coherence
PubMed: 36196693
DOI: 10.26355/eurrev_202209_29742 -
Redox Biology Oct 2022Inflammation plays an important role in hypertensive retinal vascular injury and subsequent retinopathy. Monocyte chemotaxis via CXCL1-CXCR2 binding has been implicated...
Inflammation plays an important role in hypertensive retinal vascular injury and subsequent retinopathy. Monocyte chemotaxis via CXCL1-CXCR2 binding has been implicated in various cardiovascular diseases, but the function of CXCL1-CXCR2 signalling involved in retinopathy, which was investigated as angiotensin II (Ang II)-induced retinopathy, is unclear. In our study, we established a hypertensive retinopathy (HR) model by Ang II infusion (3000 ng/min/kg) for 3 weeks. To determine the involvement of CXCR2 signalling, we used CXCR2 knockout (KO) mice or C57BL/6J wild-type (WT) mice as experimental subjects. The mice were treated with a CXCL1 neutralizing antibody or SB225002 (the specific CXCR2 inhibitor). Our results showed that after Ang II treatment, the mRNA levels of CXCL1 and CXCR2 and the number of CXCR2 inflammatory cells were significantly elevated. Conversely, unlike in the IgG control group, the CXCL1 neutralizing antibody greatly reduced the increase in central retinal thickness induced by Ang II infusion, arteriolar remodelling, superoxide production, and retinal dysfunction in WT mice. Furthermore, Ang II infusion induced arteriolar remodelling, infiltration of Iba1 macrophages, the production of oxidative stress, and retinal dysfunction, but the symptoms were ameliorated in CXCR2 KO mice and SB225002-treated mice. These protective effects were related to the reduction in the number of CXCR2 immune cells, particularly macrophages, and the decrease in proinflammatory cytokine (IL-1β, IL-6, TNF-ɑ, and MCP-1) expression in Ang II-treated retinas. Notably, serum CXCL1 levels and the number of CXCR2 monocytes/neutrophils were higher in HR patients than in healthy controls. In conclusion, this study provides new evidence that the CXCL1-CXCR2 axis plays a vital role in the pathogenesis of hypertensive retinopathy, and selective blockade of CXCL1-CXCR2 activation may be a potential treatment for HR.
Topics: Angiotensin II; Animals; Antibodies, Neutralizing; Chemokine CXCL1; Cytokines; Hypertensive Retinopathy; Immunoglobulin G; Interleukin-6; Macrophages; Mice; Mice, Inbred C57BL; Mice, Knockout; Phenylurea Compounds; RNA, Messenger; Receptors, Interleukin-8B; Superoxides; Tumor Necrosis Factor-alpha
PubMed: 35981418
DOI: 10.1016/j.redox.2022.102438 -
Medicine Feb 2020In China, there is a significant lack of awareness of diabetes and its complications. Screening of diabetic retinopathy has important for early detection, prevention,...
In China, there is a significant lack of awareness of diabetes and its complications. Screening of diabetic retinopathy has important for early detection, prevention, and treatment. This large, cross-sectional study aimed to characterize the demographic, physical, serological, and ocular characteristics of subjects with diabetes mellitus in Shijiazhuang, China. It also aimed to associate these characteristics with the presence of diabetic retinopathy.From May 2, 2018 to August 25, 2019, under diabetes care program, the diabetic patients (n = 1008) were subjected to standardized questionnaires to collect demographical characteristics. Also, telescreens and laboratory tests were performed for the enrolled patients. Multivariate logistic regression analysis was used to evaluate factors associated with diabetic retinopathy.Forty percent of diabetics in its population had some form of diabetic retinopathy. Diabetic retinopathic patients were likely to be elder (P = .0003), men (P = .018), hypertensive (P < .0001), and had high body mass index (P < .0001), metabolic abnormalities, and longer duration of diabetes (P < .0001). Higher intraocular pressure (P = .0008), fasting blood glucose (P < .0001), serum total cholesterol (P < .0001), serum triglyceride (P = .0006), % glycated hemoglobin (HbA1c) (P < .0001), and disc asymmetry including cup-disc ratio (P = .041) reported in patients with diabetic retinopathy. Age (P = .049), male sex (P = .048), hypertension (P = .048), duration of diabetes (P = .012), diabetic neuropathy (P = .048), diabetic nephropathy (P = .048), diabetic foot ulcer (P = .041), foot amputation (P = .042), fasting blood glucose (P = .022), serum total cholesterol (P = .028), serum triglyceride (P = .035), and HbA1c (P = .042) were associated with diabetic retinopathy.Diabetic retinopathy was the most common ocular fundus disease in diabetic patients. Also, aging, the other comorbidities, and metabolic syndrome are associated with diabetic retinopathy.Level of Evidence: III.
Topics: Adult; Aged; China; Cross-Sectional Studies; Diabetes Mellitus, Type 2; Diabetic Retinopathy; Female; Humans; Male; Middle Aged; Prevalence; Risk Factors; Surveys and Questionnaires
PubMed: 32118727
DOI: 10.1097/MD.0000000000019236 -
JAMA Network Open May 2022The lack of experienced ophthalmologists limits the early diagnosis of retinal diseases. Artificial intelligence can be an efficient real-time way for screening retinal...
IMPORTANCE
The lack of experienced ophthalmologists limits the early diagnosis of retinal diseases. Artificial intelligence can be an efficient real-time way for screening retinal diseases.
OBJECTIVE
To develop and prospectively validate a deep learning (DL) algorithm that, based on ocular fundus images, recognizes numerous retinal diseases simultaneously in clinical practice.
DESIGN, SETTING, AND PARTICIPANTS
This multicenter, diagnostic study at 65 public medical screening centers and hospitals in 19 Chinese provinces included individuals attending annual routine medical examinations and participants of population-based and community-based studies.
EXPOSURES
Based on 120 002 ocular fundus photographs, the Retinal Artificial Intelligence Diagnosis System (RAIDS) was developed to identify 10 retinal diseases. RAIDS was validated in a prospective collected data set, and the performance between RAIDS and ophthalmologists was compared in the data sets of the population-based Beijing Eye Study and the community-based Kailuan Eye Study.
MAIN OUTCOMES AND MEASURES
The performance of each classifier included sensitivity, specificity, accuracy, F1 score, and Cohen κ score.
RESULTS
In the prospective validation data set of 208 758 images collected from 110 784 individuals (median [range] age, 42 [8-87] years; 115 443 [55.3%] female), RAIDS achieved a sensitivity of 89.8% (95% CI, 89.5%-90.1%) to detect any of 10 retinal diseases. RAIDS differentiated 10 retinal diseases with accuracies ranging from 95.3% to 99.9%, without marked differences between medical screening centers and geographical regions in China. Compared with retinal specialists, RAIDS achieved a higher sensitivity for detection of any retinal abnormality (RAIDS, 91.7% [95% CI, 90.6%-92.8%]; certified ophthalmologists, 83.7% [95% CI, 82.1%-85.1%]; junior retinal specialists, 86.4% [95% CI, 84.9%-87.7%]; and senior retinal specialists, 88.5% [95% CI, 87.1%-89.8%]). RAIDS reached a superior or similar diagnostic sensitivity compared with senior retinal specialists in the detection of 7 of 10 retinal diseases (ie, referral diabetic retinopathy, referral possible glaucoma, macular hole, epiretinal macular membrane, hypertensive retinopathy, myelinated fibers, and retinitis pigmentosa). It achieved a performance comparable with the performance by certified ophthalmologists in 2 diseases (ie, age-related macular degeneration and retinal vein occlusion). Compared with ophthalmologists, RAIDS needed 96% to 97% less time for the image assessment.
CONCLUSIONS AND RELEVANCE
In this diagnostic study, the DL system was associated with accurately distinguishing 10 retinal diseases in real time. This technology may help overcome the lack of experienced ophthalmologists in underdeveloped areas.
Topics: Adult; Artificial Intelligence; Diabetic Retinopathy; Female; Humans; Male; Optic Nerve Diseases; Retina; Retinal Diseases
PubMed: 35503220
DOI: 10.1001/jamanetworkopen.2022.9960