Safety and Efficacy of Brolucizumab in the Treatment of Diabetic Macular Edema and Diabetic Retinopathy: A Systematic Review and Meta-Analysis.

PURPOSE: To investigate the efficacy and safety of brolucizumab in diabetic macular edema (DME) and diabetic retinopathy (DR). METHODS: In this systematic review and meta-analysis, an electronic search was done to acquire all articles describing brolucizumab use in patients with DME and DR. The review was prospectively registered on PROSPERO (CRD42022382625). Collected articles were filtered through two stages by independent reviewers. Data were extracted from the included articles and then analyzed accordingly. RESULTS: Brolucizumab induced significant improvement in best-corrected visual acuity and was either better or non-inferior to other types of anti-VEGF (MD -0.64 mu, 95% CI [-1.15, -0.13], P = .01); the same observation was noted with regards to central subfield macular thickness (CSMT) (MD -138.6 mu, 95% CI [-151.9, -125.3], P = .00001). Brolucizumab was reported to be relatively safe for use in diabetic patients, with few adverse events observed, with a higher frequency of adverse events in relation to the 3 mg dose compared to the 6 mg dose. CONCLUSION: Brolucizumab is a new drug that has potential advantages in efficacy over other anti-VEGF agents in the treatment of DME and DR. It showed significant improvement in BCVA and CSMT with the possibility of a lower dosing schedule compared to other agents. Although observed in low frequency, sight-threatening adverse effects appear to occur more frequently compared to other anti-VEGF agents. The main observed adverse event was retinal vasculitis which was seen more commonly with the 3 mg dose versus the 6 mg dose.

Exploring the Use of YouTube as a Pathology Learning Tool and Its Relationship With Pathology Scores Among Medical Students: Cross-Sectional Study.

BACKGROUND: YouTube is considered one of the most popular sources of information among college students. OBJECTIVE: This study aimed to explore the use of YouTube as a pathology learning tool and its relationship with pathology scores among medical students at Jordanian public universities. METHODS: This cross-sectional, questionnaire-based study included second-year to sixth-year medical students from 6 schools of medicine in Jordan. The questionnaire was distributed among the students using social platforms over a period of 2 months extending from August 2022 to October 2022. The questionnaire included 6 attributes. The first section collected demographic data, and the second section investigated the general use of YouTube and recorded material. The remaining 4 sections targeted the participants who used YouTube to learn pathology including using YouTube for pathology-related content. RESULTS: As of October 2022, 699 students were enrolled in the study. More than 60% (422/699, 60.4%) of the participants were women, and approximately 50% (354/699, 50.6%) were second-year students. The results showed that 96.5% (675/699) of medical students in Jordan were using YouTube in general and 89.1% (623/699) were using it as a source of general information. YouTube use was associated with good and very good scores among the users. In addition, 82.3% (575/699) of medical students in Jordan used YouTube as a learning tool for pathology in particular. These students achieved high scores, with 428 of 699 (61.2%) students scoring above 70%. Most participants (484/699, 69.2%) reported that lectures on YouTube were more interesting than classic teaching and the lectures could enhance the quality of learning (533/699, 76.3%). Studying via YouTube videos was associated with higher odds (odds ratio [OR] 3.86, 95% CI 1.33-11.18) and lower odds (OR 0.27, 95% CI 0.09-0.8) of achieving higher scores in the central nervous system and peripheral nervous system courses, respectively. Watching pathology lectures on YouTube was related to a better chance of attaining higher scores (OR 1.96, 95% CI 1.08-3.57). Surprisingly, spending more time watching pathology videos on YouTube while studying for examinations corresponded with lower performance, with an OR of 0.46 (95% CI 0.26-0.82). CONCLUSIONS: YouTube may play a role in enhancing pathology learning, and aiding in understanding, memorization, recalling information, and obtaining higher scores. Many medical students in Jordan have positive attitudes toward using YouTube as a supplementary pathology learning tool. Based on this, it is recommended that pathology instructors should explore the use of YouTube and other emerging educational tools as potential supplementary learning resources.

Preferred Practice Patterns of Congenital Nasolacrimal Duct Obstruction in Jordan.

Purpose: Congenital nasolacrimal duct obstruction (CNLDO) is fairly common in newborns. The main aim of this cross-sectional study is to assess the preferred practice patterns of CNLDO among ophthalmologists in Jordan. Methods: This cross-sectional study was conducted across all ophthalmological practices in Jordan, using convenience sampling. An online questionnaire, designed through Google Forms, was distributed through social media. The survey contained four domains: baseline characteristics of participants and the diagnosis (7 items), medical management (3 items), and surgical management (11 items) of CNLDO. Descriptive statistics were conducted using SPSS (IBM SPSS Corp, SPSS Statistics ver. 26, USA). Results: Eighty-three physicians responded to the survey, with an average age of 40.6 ± 8.6. More than half of the participants (53.0%, n = 44) were general ophthalmologists. Only 37.3% of our sample (n = 31) regularly evaluated the refraction of a child presenting with epiphora suggestive of CNLDO. Criggler's nasolacrimal duct massage was recommended by 62.7% of respondents (n = 52) for up to 12 months. In addition, 72.3% of respondents (n = 60) recommended 12 months as the minimum age for primary probing of CNLDO. Silicon intubation was considered for primary probing starting at 24 months by 31.3% of ophthalmologists (n = 20). Monocanalicular stent was preferred by 42.2% of respondents (n = 27) while 31.3% (n = 20) preferred bicanalicular stent. Conclusion: There is considerable variability in preferred practice patterns regarding the diagnosis and management of CNLDO in Jordan. Our findings highlight the gaps in optimum practices which need to be addressed for better management.

Foldable capsular vitreous body indications, complications, and outcomes: a systematic review.

PURPOSE: Foldable capsular vitreous body (FCVB) is an emerging vitreous substitute that has been recently introduced to treat various advanced vitreoretinal conditions including severe ocular trauma, complicated retinal detachment (RD), and proliferative vitreoretinopathy. METHODS: Review protocol was prospectively registered at PROSPERO (CRD42022342310). A systematic literature search using PubMed, Ovid MEDLINE, and Google Scholar for articles published until May 2022 was performed. The search included the following keywords: foldable capsular vitreous body, FCVB, artificial vitreous substitutes, and artificial vitreous implants. Outcomes included indications of FCVB, anatomical success rates, postoperative intraocular pressure (IOP), best-corrected visual acuity (BCVA), and complications. RESULTS: A total of 17 studies that utilized FCVB up to May 2022 were included. FCVB was used intraocularly as a tamponade or extraocularly as a macular/scleral buckle for various retinal conditions including severe ocular trauma, simple and complex RD, silicone oil-dependent eyes, and highly myopic eyes with foveoschisis. FCVB was reported to be successfully implanted in the vitreous cavity of all patients. Final retinal reattachment rate ranged from 30 to 100%. Postoperative IOP improved or was maintained in most eyes, with low postoperative complication rates. Improvement in BCVA ranged from 0 to 100% of subjects. CONCLUSION: Indications of FCVB implantation have recently widened to include multiple advanced ocular conditions such as complex RD, but also include simpler conditions as uncomplicated RD. FCVB implantation showed good visual and anatomical outcomes, few IOP fluctuations, and a good safety profile. Larger comparative studies are required to further evaluate FCVB implantation.

Wearable devices for anxiety & depression: A scoping review.

Background: The rates of mental health disorders such as anxiety and depression are at an all-time high especially since the onset of COVID-19, and the need for readily available digital health care solutions has never been greater. Wearable devices have increasingly incorporated sensors that were previously reserved for hospital settings. The availability of wearable device features that address anxiety and depression is still in its infancy, but consumers will soon have the potential to self-monitor moods and behaviors using everyday commercially-available devices. Objective: This study aims to explore the features of wearable devices that can be used for monitoring anxiety and depression. Methods: Six bibliographic databases, including MEDLINE, EMBASE, PsycINFO, IEEE Xplore, ACM Digital Library, and Google Scholar were used as search engines for this review. Two independent reviewers performed study selection and data extraction, while two other reviewers justified the cross-checking of extracted data. A narrative approach for synthesizing the data was utilized. Results: From 2408 initial results, 58 studies were assessed and highlighted according to our inclusion criteria. Wrist-worn devices were identified in the bulk of our studies (n = 42 or 71%). For the identification of anxiety and depression, we reported 26 methods for assessing mood, with the State-Trait Anxiety Inventory being the joint most common along with the Diagnostic and Statistical Manual of Mental Disorders (n = 8 or 14%). Finally, n = 26 or 46% of studies highlighted the smartphone as a wearable device host device. Conclusion: The emergence of affordable, consumer-grade biosensors offers the potential for new approaches to support mental health therapies for illnesses such as anxiety and depression. We believe that purposefully-designed wearable devices that combine the expertise of technologists and clinical experts can play a key role in self-care monitoring and diagnosis.

Ocular Vascular Events following COVID-19 Vaccines: A Systematic Review.

The main aim of this study is to investigate the current evidence regarding the association between COVID-19 vaccination and ocular vascular events. The protocol is registered on PROSPERO (CRD42022358133). On 18 August 2022, an electronic search was conducted through five databases. All original articles reporting individuals who were vaccinated with COVID-19 vaccines and developed ophthalmic vascular events were included. The methodological quality of the included studies was assessed using the NIH tool. A total of 49 studies with 130 ocular vascular cases were included. Venous occlusive events were the most common events (54.3%), which mostly occurred following the first dose (46.2%) and within the first five days following vaccination (46.2%). Vascular events occurred more with the Pfizer and AstraZeneca vaccines (81.6%), and mostly presented unilaterally (73.8%). The most frequently reported treatment was intravitreal anti-VEGF (n = 39, 30.4%). The majority of patients (90.1%) demonstrated either improvement (p = 0.321) or persistence (p = 0.414) in the final BCVA. Ophthalmic vascular events are serious vision-threatening side effects that have been associated with COVID-19 vaccination. Clinicians should be aware of the possible association between COVID-19 vaccines and ocular vascular events to provide early diagnosis and treatment.

Artificial Intelligence-Driven Serious Games in Health Care: Scoping Review.

BACKGROUND: Artificial intelligence (AI)-driven serious games have been used in health care to offer a customizable and immersive experience. Summarizing the features of the current AI-driven serious games is very important to explore how they have been developed and used and their current state to plan on how to leverage them in the current and future health care needs. OBJECTIVE: This study aimed to explore the features of AI-driven serious games in health care as reported by previous research. METHODS: We conducted a scoping review to achieve the abovementioned objective. The most popular databases in the information technology and health fields (ie, MEDLINE, PsycInfo, Embase, CINAHL, IEEE Xplore, ACM Digital Library, and Google Scholar) were searched using keywords related to serious games and AI. Two reviewers independently performed the study selection process. Three reviewers independently extracted data from the included studies. A narrative approach was used for data synthesis. RESULTS: The search process returned 1470 records. Of these 1470 records, 46 (31.29%) met all eligibility criteria. A total of 64 different serious games were found in the included studies. Motor impairment was the most common health condition targeted by these serious games. Serious games were used for rehabilitation in most of the studies. The most common genres of serious games were role-playing games, puzzle games, and platform games. Unity was the most prominent game engine used to develop serious games. PCs were the most common platform used to play serious games. The most common algorithm used in the included studies was support vector machine. The most common purposes of AI were the detection of disease and the evaluation of user performance. The size of the data set ranged from 36 to 795,600. The most common validation techniques used in the included studies were k-fold cross-validation and training-test split validation. Accuracy was the most commonly used metric for evaluating the performance of AI models. CONCLUSIONS: The last decade witnessed an increase in the development of AI-driven serious games for health care purposes, targeting various health conditions, and leveraging multiple AI algorithms; this rising trend is expected to continue for years to come. Although the evidence uncovered in this study shows promising applications of AI-driven serious games, larger and more rigorous, diverse, and robust studies may be needed to examine the efficacy and effectiveness of AI-driven serious games in different populations with different health conditions.

The integration of radiology curriculum in undergraduate medical education.

Knowledge of basic radiology is an essential component of the undergraduate medical curriculum. Pre-clinical education introduces medical students to essential knowledge and skills. However, the current curriculum and radiology teaching are not without inherent limitations. This article explores the essential role of radiology education for medical students and discusses the current state of affairs. It also highlights the limitations and associated challenges and proposes solutions.

Machine learning models to detect anxiety and depression through social media: A scoping review.

Despite improvement in detection rates, the prevalence of mental health disorders such as anxiety and depression are on the rise especially since the outbreak of the COVID-19 pandemic. Symptoms of mental health disorders have been noted and observed on social media forums such Facebook. We explored machine learning models used to detect anxiety and depression through social media. Six bibliographic databases were searched for conducting the review following PRISMA-ScR protocol. We included 54 of 2219 retrieved studies. Users suffering from anxiety or depression were identified in the reviewed studies by screening their online presence and their sharing of diagnosis by patterns in their language and online activity. Majority of the studies (70%, 38/54) were conducted at the peak of the COVID-19 pandemic (2019-2020). The studies made use of social media data from a variety of different platforms to develop predictive models for the detection of depression or anxiety. These included Twitter, Facebook, Instagram, Reddit, Sina Weibo, and a combination of different social sites posts. We report the most common Machine Learning models identified. Identification of those suffering from anxiety and depression disorders may be achieved using prediction models to detect user's language on social media and has the potential to complimenting traditional screening. Such analysis could also provide insights into the mental health of the public especially so when access to health professionals can be restricted due to lockdowns and temporary closure of services such as we saw during the peak of the COVID-19 pandemic.

Ophthalmic manifestations of nutritional deficiencies: A mini review.

Balanced nutrition is crucial for a healthy eye and vision. Many nutritional deficiencies can result in vision impairment. This article reviews the ocular manifestations of vitamin deficiencies, including vitamin A, vitamin B1 and B12, vitamin C, vitamin D, and vitamin E, and minerals such as zinc. It discusses different ophthalmic symptoms and signs, including dry eye disease, corneal xerosis, decreased night vision, subconjunctival hemorrhage, and retinal changes similar to retinitis pigmentosa. We strongly recommend using multi-vitamin supplements for treating many diseases such as age-related macular degeneration.