Acute angle closure glaucoma – A potential blind spot in critical care

Petsas, Anna; Chapman, George H.; Stewart, Richard J.

doi:10.1177/1751143717701946

Cited by 11 publications

(7 citation statements)

References 1 publication

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“…A potentially sight-threatening complication in ICU patients is acute angle-closure glaucoma. In the presence of underlying risk factors, an acute angle closure can be triggered by the prone position, as well as by many local and systemic drugs, such as anticholinergics (atropine, ipratropium bromide, tricyclic antidepressants, and antihistamine), sympathomimetics (adrenaline, noradrenaline, dopamine, ephedrine, salbutamol, and terbutaline), and others (sulfonamides derivatives and topiramate) [ 58 , 59 ].…”

Section: Resultsmentioning

confidence: 99%

Ocular Findings in COVID-19 Patients: A Review of Direct Manifestations and Indirect Effects on the Eye

Bertoli

Veritti²,

Danese

et al. 2020

Journal of Ophthalmology

132

134

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The novel pandemic coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has challenged the medical community. While diagnostic and therapeutic efforts have been focused on respiratory complications of the disease, several ocular implications have also emerged. SARS-CoV-2 RNA has been found in tears of the infected patients, and reports suggest that the ocular surface could serve as a portal of entry and a reservoir for viral transmission. Clinically, COVID-19 has been associated with mild conjunctivitis, which can be the first and only symptom of the disease. Subtle retinal changes like hyperreflective lesions in the inner layers on optical coherence tomography (OCT), cotton-wool spots, and microhemorrhages have also been reported. In addition, COVID-19 has been associated with an increased incidence of systemic diseases like diabetes mellitus and Kawasaki disease, which are particularly relevant for ophthalmologists due to their potentially severe ocular manifestations. Several treatment strategies are currently under investigation for COVID-19, but none of them have been proved to be safe and effective to date. Intensive care unit patients, due to risk factors like invasive mechanical ventilation, prone position, and multiresistant bacterial exposure, may develop ocular complications like ocular surface disorders, secondary infections, and less frequently acute ischemic optic neuropathy and intraocular pressure elevation. Among the array of drugs that have shown positive results, the use of hydroxychloroquine and chloroquine has raised a concern due to their well-known retinal toxic effects. However, the risk of retinal toxicity with short-term high-dose use of antimalarials is still unknown. Ocular side effects have also been reported with other investigational drugs like lopinavir-ritonavir, interferons, and interleukin-1 and interleukin-6 inhibitors. The aim of this review was to summarize ophthalmological implications of SARS-CoV-2 infection to serve as a reference for eye care and other physicians for prompt diagnosis and management.

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Section: Resultsmentioning

confidence: 99%

Ocular Findings in COVID-19 Patients: A Review of Direct Manifestations and Indirect Effects on the Eye

Bertoli

Veritti²,

Danese

et al. 2020

Journal of Ophthalmology

132

134

View full text Add to dashboard Cite

show abstract

“…Despite treatment with eye drops and cataract surgery, the patient lost vision in her right eye [ 89 ]. Other studies have also indicated that some anticholinergics, sympathomimetics, and other drugs may induce AACG [ 90 , 91 ].…”

Section: Othermentioning

confidence: 99%

How Does SARS-CoV-2 Affect Our Eyes—What Have We Learnt So Far about the Ophthalmic Manifestations of COVID-19?

Baj

Forma

Teresińska

et al. 2022

JCM

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The severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection has become a worldwide threat resulting in a pandemic in 2020. SARS-CoV-2 infection manifests itself as coronavirus disease 2019 (COVID-19) that is evidenced in a vast number of either specific or nonspecific symptoms. Except for typical (but nonspecific) symptoms such as fever, dry cough, or muscle weakness, the infected patients might also present atypical symptoms including neurological, dermatological, or ophthalmic manifestations. This paper summarizes the current state of knowledge regarding the onset, progression, and types of ophthalmic symptoms induced by SARS-CoV-2 infection recognized amongst the infected patients.

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“…AACG is caused by a sudden increase in the intra-ocular pressure (IOP) which causes a displacement of the apposition of the iris to the trabecular meshwork. In acute angleclosure (AAC), the common symptoms are blurred vision, red eye, pain, headache, nausea and vomiting [7]. The process of AAC occurs suddenly with a dramatic onset of symptoms.…”

Section: Acute Angle-closure Glaucoma (Aacg)mentioning

confidence: 99%

An Efficient Approach to Predict Eye Diseases from Symptoms Using Machine Learning and Ranker-Based Feature Selection Methods

et al. 2022

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The eye is generally considered to be the most important sensory organ of humans. Diseases and other degenerative conditions of the eye are therefore of great concern as they affect the function of this vital organ. With proper early diagnosis by experts and with optimal use of medicines and surgical techniques, these diseases or conditions can in many cases be either cured or greatly mitigated. Experts that perform the diagnosis are in high demand and their services are expensive, hence the appropriate identification of the cause of vision problems is either postponed or not done at all such that corrective measures are either not done or done too late. An efficient model to predict eye diseases using machine learning (ML) and ranker-based feature selection (r-FS) methods is therefore proposed which will aid in obtaining a correct diagnosis. The aim of this model is to automatically predict one or more of five common eye diseases namely, Cataracts (CT), Acute Angle-Closure Glaucoma (AACG), Primary Congenital Glaucoma (PCG), Exophthalmos or Bulging Eyes (BE) and Ocular Hypertension (OH). We have used efficient data collection methods, data annotations by professional ophthalmologists, applied five different feature selection methods, two types of data splitting techniques (train-test and stratified k-fold cross validation), and applied nine ML methods for the overall prediction approach. While applying ML methods, we have chosen suitable classic ML methods, such as Decision Tree (DT), Random Forest (RF), Naive Bayes (NB), AdaBoost (AB), Logistic Regression (LR), k-Nearest Neighbour (k-NN), Bagging (Bg), Boosting (BS) and Support Vector Machine (SVM). We have performed a symptomatic analysis of the prominent symptoms of each of the five eye diseases. The results of the analysis and comparison between methods are shown separately. While comparing the methods, we have adopted traditional performance indices, such as accuracy, precision, sensitivity, F1-Score, etc. Finally, SVM outperformed other models obtaining the highest accuracy of 99.11% for 10-fold cross-validation and LR obtained 98.58% for the split ratio of 80:20.

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Acute angle closure glaucoma – A potential blind spot in critical care

Cited by 11 publications

References 1 publication

Ocular Findings in COVID-19 Patients: A Review of Direct Manifestations and Indirect Effects on the Eye

Ocular Findings in COVID-19 Patients: A Review of Direct Manifestations and Indirect Effects on the Eye

How Does SARS-CoV-2 Affect Our Eyes—What Have We Learnt So Far about the Ophthalmic Manifestations of COVID-19?

An Efficient Approach to Predict Eye Diseases from Symptoms Using Machine Learning and Ranker-Based Feature Selection Methods

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