Awareness of Ocular Manifestations, Complications, and Treatment of Sickle Cell Disease in the Eastern Province of Saudi Arabia: A Cross-Sectional Study

Acute soft head syndrome in a teenager with sickle cell anemia: A case report

Key Clinical Message

Sickle cell disease (SCD) rarely presents with acute soft head syndrome (ASHS) often posing a diagnostic dilemma. Recovery is typically spontaneous, however, in the context of lack of awareness and limited brain imaging it could potentially lead to poor outcome.

Abstract

ASHS is a rare complication of SCD, invariably occurring near puberty with hitherto elusive pathogenic mechanisms. ASHS often resolves spontaneously on conservative management, however, lack of awareness in the context of limited access to brain imaging could pose diagnostic challenges resulting in inappropriate management and untoward outcome. We present a case of a teenager who presented with subtle symptoms for which the diagnosis of sickle cell anemia (SCA) was delayed until he developed ASHS. LTM was a 16 years old boy with a history of recurrent joints pain since the age of 6 years, with a family history of SCA, but had initial negative sickling test. He presented with episodes of multiple joints pain, unprovoked scalp and left orbital swelling, low-grade fever and mild headache without any evidence for bleeding diathesis. The diagnosis of SCA was confirmed by hemoglobin electrophoresis. Computed tomography (CT) scan of the head revealed subgaleal heamatoma (SGH) and intraorbital haematoma without intracranial hemorrhage (ICH). He was managed conservatively with analgesics and hydration together with antibiotics for associated sepsis with complete resolution of clinical symptoms within 2 weeks. This case represents a rare scenario for a relatively mild SCA phenotype presenting with ASHS whose diagnosis poses an enigma in the resource-limited contex. It is therefore, prudent to recognize ASHS to avoid judicious interventions which could potentially result in untoward clinical outcome.

Routine Ophthalmological Examination Rates in Adults with Sickle Cell Disease Are Low and Must Be Improved

The American Academy of Ophthalmology and the National Heart, Lung and Blood Institute recommend patients with sickle cell disease (SCD) undergo dilated funduscopic exams (DFE) every 1-2 years to screen for sickle retinopathy. There is a paucity of data on the adherence rate to these guidelines; a retrospective study was performed to evaluate our institution's adherence. A chart review of 842 adults with SCD, seen 3/2017-3/2021 in the Montefiore healthcare system (All Patients), was done. Only about half of All Patients (n = 842) had >1 DFE during the study period (Total Examined Patients, n = 415). The Total Examined Patients were categorized as screening, those without retinopathy (Retinopathy-, n = 199), or follow-up, including individuals previously diagnosed with retinopathy (Retinopathy+, n = 216). Only 40.3% of screening patients (n = 87) had DFE at least biennially. As expected, there was a significant decrease in the average DFE rate of the Total Examined Patients after the COVID-19 pandemic started (13.6%) compared to pre-COVID (29.8%, p < 0.001). Similarly, there was a significant decrease in the screening rate of Retinopathy- patients from 18.6% on average pre-COVID to 6.7% during COVID (p < 0.001). This data shows the sickle retinopathy screening rate is low and innovative approaches may need to be employed to remedy this issue.

Incidence of eye complications among sickle cell disease patients in Jeddah, Saudi Arabia: A cross-sectional study

Introduction

Sickle cell disease (SCD) is a heritable blood disorder resulting in deformed, rigid red blood cells, rendering them more prone to vaso-occlusion. Ocular complications are known to affect multiple organs through the body's vasculature. Here, we evaluated the incidence of eye complications in patients with SCD at King Abdulaziz Medical City in Jeddah, Saudi Arabia.

Materials and methods

We used a cross-sectional approach and collected relevant medical data from nine patients with SCD. Ophthalmic assessment included visual acuity and an in-clinic dilated fundus examination. All patients were asked to attend the ophthalmology clinic to undergo optical coherence tomography (OCT) angiography, macular OCT scan, and fundus photography. The results of the imaging tests were interpreted by a certified ophthalmology consultant specializing in retinal diseases. Descriptive analyses of the results were also performed.

Results

The mean age of the nine patients was 24.78 ± 10.9 years. All patients were non-hypertensive, one had type 1 diabetes, and another had type 2 diabetes. Five patients had normal visual acuity, two had slight impairments in at least one eye, and two had moderate impairment in at least one eye. One of the nine patients exhibited retinal ischemia in the right eye despite normal macular thickness (visual acuity, OD, 6/30; OS, 6/21). The remaining eight patients showed no ocular abnormalities.

Conclusion

Of the nine patients with SCD, five showed no symptoms of ocular complications. One patient showed retinal ischemia in the right eye, despite a normal macular thickness. This study's results suggest routine ophthalmologic examination may not be able to detect or monitor macular or retinal abnormalities unless augmented with detailed imaging techniques.

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Out of nine patients with SCD, five patients exhibited normal visual acuity.

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One patient presented perifoveal retinal ischemia in the right eye.

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Results suggest augmenting routine ophthalmology screening with imaging techniques.

Artificial intelligence for improving sickle cell retinopathy diagnosis and management

Sickle cell retinopathy is often initially asymptomatic even in proliferative stages, but can progress to cause vision loss due to vitreous haemorrhages or tractional retinal detachments. Challenges with access and adherence to screening dilated fundus examinations, particularly in medically underserved areas where the burden of sickle cell disease is highest, highlight the need for novel approaches to screening for patients with vision-threatening sickle cell retinopathy. This article reviews the existing literature on and suggests future research directions for coupling artificial intelligence with multimodal retinal imaging to expand access to automated, accurate, imaging-based screening for sickle cell retinopathy. Given the variability in retinal specialist practice patterns with regards to monitoring and treatment of sickle cell retinopathy, we also discuss recent progress toward development of machine learning models that can quantitatively track disease progression over time. These artificial intelligence-based applications have great potential for informing evidence-based and resource-efficient clinical diagnosis and management of sickle cell retinopathy.

Deep Learning Detection of Sea Fan Neovascularization From Ultra-Widefield Color Fundus Photographs of Patients With Sickle Cell Hemoglobinopathy

Importance

Adherence to screening for vision-threatening proliferative sickle cell retinopathy is limited among patients with sickle cell hemoglobinopathy despite guidelines recommending dilated fundus examinations beginning in childhood. An automated algorithm for detecting sea fan neovascularization from ultra-widefield color fundus photographs could expand access to rapid retinal evaluations to identify patients at risk of vision loss from proliferative sickle cell retinopathy.

Objective

To develop a deep learning system for detecting sea fan neovascularization from ultra-widefield color fundus photographs from patients with sickle cell hemoglobinopathy.

Design, Setting, and Participants

In a cross-sectional study conducted at a single-institution, tertiary academic referral center, deidentified, retrospectively collected, ultra-widefield color fundus photographs from 190 adults with sickle cell hemoglobinopathy were independently graded by 2 masked retinal specialists for presence or absence of sea fan neovascularization. A third masked retinal specialist regraded images with discordant or indeterminate grades. Consensus retinal specialist reference standard grades were used to train a convolutional neural network to classify images for presence or absence of sea fan neovascularization. Participants included nondiabetic adults with sickle cell hemoglobinopathy receiving care from a Wilmer Eye Institute retinal specialist; the patients had received no previous laser or surgical treatment for sickle cell retinopathy and underwent imaging with ultra-widefield color fundus photographs between January 1, 2012, and January 30, 2019.

Interventions

Deidentified ultra-widefield color fundus photographs were retrospectively collected.

Main Outcomes and Measures

Sensitivity, specificity, and area under the receiver operating characteristic curve of the convolutional neural network for sea fan detection.

Results

A total of 1182 images from 190 patients were included. Of the 190 patients, 101 were women (53.2%), and the mean (SD) age at baseline was 36.2 (12.3) years; 119 patients (62.6%) had hemoglobin SS disease and 46 (24.2%) had hemoglobin SC disease. One hundred seventy-nine patients (94.2%) were of Black or African descent. Images with sea fan neovascularization were obtained in 57 patients (30.0%). The convolutional neural network had an area under the curve of 0.988 (95% CI, 0.969-0.999), with sensitivity of 97.4% (95% CI, 86.5%-99.9%) and specificity of 97.0% (95% CI, 93.5%-98.9%) for detecting sea fan neovascularization from ultra-widefield color fundus photographs.

Conclusions and Relevance

This study reports an automated system with high sensitivity and specificity for detecting sea fan neovascularization from ultra-widefield color fundus photographs from patients with sickle cell hemoglobinopathy, with potential applications for improving screening for vision-threatening proliferative sickle cell retinopathy.