Spectral Domain Optical Coherence Tomography Assessment of Macular and Optic Nerve Alterations in Patients Recovered from COVID-19: A Comparative Study

Author Statement

I (the corresponding author) confirm that all authors should have made substantial contributions to the article as follows;

Aysegul Mavi Yildiz: Data curation, Writing- Original draft preparation

Gamze Ucan Gunduz: Conceptualization, Methodology

Remzi Avci: Visualization, Investigation

Ozgur Yalcinbayir: Supervision

Writing- Reviewing and Editing: Nilufer Aylin Acet

Software, Validation:, Funda Coskun MD

Aysegul Mavi Yildiz, MD, FEBO, FICO, MRCSEd

On behalf of all authors

Sincerely

IntroductionSince the outbreak of Coronavirus Disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged from China in December 2019, a large number of studies have been published from around the world. Although, the classical presentation of COVID-19 includes fever and respiratory tract symptoms, a wide spectrum of clinical manifestations including cardiovascular (Zheng YY Ma YT Zhang JY Xie X. COVID-19 and the cardiovascular system.), neurological (Niazkar HR Zibaee B Nasimi A Bahri N. The neurological manifestations of COVID-19: a review article.), gastrointestinal (COVID-19: Gastrointestinal Manifestations and Potential Fecal-Oral Transmission.), haematological (Haematological manifestations of COVID-19: From cytopenia to coagulopathy.), dermatological (Fahmy DH El-Amawy HS El-Samongy MA Fouda AA Soliman SH El-Kady A Farnetani F Conti A Zoeir A Eissa A Eissa R Puliatti S Sighinolfi MC Rocco B Pellacani G COVID-19 and dermatology: a comprehensive guide for dermatologists.) and ocular (Wu P Duan F Luo C Liu Q Qu X Liang L Wu K. Characteristics of Ocular Findings of Patients With Coronavirus Disease 2019 (COVID-19) in Hubei Province, China.) involvement have been reported.SARS-CoV-2 enters host cells via the angiotensin-converting enzyme 2 (ACE2) receptor, which is expressed in various tissues including vascular endothelium and neurosensory retina (Bourgonje AR Abdulle AE Timens W Hillebrands JL Navis GJ Gordijn SJ Bolling MC Dijkstra G Voors AA Osterhaus AD van der Voort PH Mulder DJ van Goor H. Angiotensin-converting enzyme 2 (ACE2), SARS-CoV-2 and the pathophysiology of coronavirus disease 2019 (COVID-19).,Senanayake P Drazba J Shadrach K et al.Angiotensin II and its receptor subtypes in the human retina.). Increased rates of both the arterial and venous thromboembolism have been reported in patients with COVID-19 which could be attributed to direct viral invasion and inflammation of the endothelial cells. Accordingly, ischemic retinal changes including; flame-shaped haemorrhages, cotton wool spots and retinal sectorial pallor have been reported in patients who recovered from SARS-CoV-2 infection (Marinho PM Marcos AAA Romano AC Nascimento H Belfort Jr., R Retinal findings in patients with COVID-19.,Invernizzi A Torre A Parrulli S Zicarelli F Schiuma M Colombo V Giacomelli A Cigada M Milazzo L Ridolfo A Faggion I Cordier L Oldani M Marini S Villa P Rizzardini G Galli M Antinori S Staurenghi G Meroni L. Retinal findings in patients with COVID-19: Results from the SERPICO-19 study.). A recent publication on retinal microvascular manifestations of SARS-CoV-2 infection indicated that, the mean macular capillary vessel density (VD) was significantly lower in the COVID group compared with age-matched normal controls (Abrishami M Emamverdian Z Shoeibi N Omidtabrizi A Daneshvar R Saeidi Rezvani T Saeedian N Eslami S Mazloumi M Sadda S Sarraf D Optical coherence tomography angiography analysis of the retina in patients recovered from COVID-19: a case-control study.). Accordingly significantly lower levels of peripapillary perfusion density was detected in post-COVID-19 patients in another recent study (Savastano A Crincoli E Savastano MC et al.Peripapillary Retinal Vascular Involvement in Early Post-COVID-19 Patients.).On the other hand, central nervous system (CNS) involvement in the course of COVID-19 and neurotropic potential of SARS-CoV-2 has been reported in the literature. Moreover, viral ribonucleic acid (RNA) of SARS-CoV-2 has also been detected in retinas of deceased patients with COVID-19 in a recent study (Casagrande M Fitzek A Püschel K Aleshcheva G Schultheiss HP Berneking L Spitzer MS Schultheiss M. Detection of SARS-CoV-2 in Human Retinal Biopsies of Deceased COVID-19 Patients.).

Regarding the neuroinvasive and pro-thrombotic capabilities of SARS-CoV-2, it is very likely to observe retinal manifestations in COVID-19. Therefore, the aim of our study was to identify microstructural changes in macula and peripapillary retinal nerve fiber layer (RNFL) in post-COVID-19 patients.

Methods Design

This cross-sectional study was conducted between April 2020 and October 2020. The study was approved by the Ethics Committee of Uludağ University Faculty of Medicine, Bursa, Turkey (2020-7/14) prior to the study period. The research was conducted in accordance with the tenets of the Declaration of Helsinki. Written informed consent was obtained from all participants, consistent with Turkish National Research Ethics Committee resolution for research conducted during the COVID-19 pandemic.

 Participants

A total of 63 patients with confirmed SARS-CoV-2 infection (Group 1) were included in this study. The diagnosis of COVID-19 was confirmed by a positive test result with real-time, reverse transcription-polymerase chain reaction (rRT-PCR) of a nasopharyngeal swab sample. The period between the date of the positive rRT-PCR test result and ophthalmological examination ranged from 2 weeks to 8 weeks in the study group. The control group consisted of age and sex-matched 59 normal controls who consented to participate in the study.

Patients with; diabetic retinopathy or any other choroidal/retinal pathologies, high myopia (an axial length ⩾ 26.5 mm), uveitis, glaucoma, previous optic neuropathy, history of any intraocular surgery or laser treatment except for phacoemulsification and pregnant or breastfeeding women were excluded.

In addition participants in the control group were interviewed for potential signs and symptoms of COVID-19 and potentially exposed contacts. Subjects with a history of fever, dry cough, extreme fatigue, loss of taste or smell, severe headache, severe chest pain, sore throat, diarrhoea, nausea and vomiting, conjunctivitis, nasal congestion/stuffy or runny nose or new rash on skin and sujects with a history of close contact to a patient with confirmed COVID-19 within the last 2 weeks were excluded.

Demographic characteristics, baseline comorbidities and clinical data were recorded.

 Ocular Parameters and Optical Coherence Tomography Imaging

All the participants underwent a complete ophthalmic examination including manifest refraction, axial length measurement, best corrected visual acuity (BCVA), slit-lamp biomicroscopy and dilated funduscopy. The BCVAs in Snellen values were converted to the logarithm of the minimum angle of resolution (logMAR). The manifest refraction was measured using an automatic refractometer (RF10; Canon Inc., Tokyo, Japan). The spherical equivalent (SE) refractive error is calculated by adding the sum of the sphere power with half of the cylinder power. The axial length was measured using Lenstar LS 900 (ver. 2.1.1, Haag-Streit AG, Koeniz, Switzerland).

The spectral domain optical coherence tomography (SD‑OCT) examination was performed with the Spectralis (HRA + OCT, Heidelberg Engineering, Germany). The macular and peripapillary retinal nerve fiber layer (RNFL) scans were obtained from all participants. Only well‑centered images with a quality index of >15 were used for analysis. Images with artifacts were excluded.

The scanning of the macula was performed routinely by the fast macular cube scan, high-resolution 6 macular radial scans, and 25 raster lines spaced 200 μm apart. To center on the patient's fovea, the real-time eye-tracking software (TruTrack; Heidelberg Engineering, Heidelberg, Germany) was used. The central foveal thickness, which was defined as the average of all points within the central 1 mm diameter circle surrounding fixation was recorded. In addition, the thicknesses of seven retinal layers defined by the Early Treatment Diabetic Retinopathy Study (ETDRS) was automatically analyzed with the SD-OCT device software (Segmentation Technology; Heidelberg Engineering GmbH, Heidelberg, Germany). The single layers measured were; RNFL, ganglion cell layer (GCL), inner plexiform layer (IPL), inner nuclear layer (INL), outer plexiform layer (OPL), outer nuclear layer (ONL) and retinal pigmented epithelium (RPE). In addition, the integrity of the RPE layer was assessed qualitatively and defined as irregular if it appeared blurred or interrupted on SD-OCT imaging.

The peripapillary RNFL thickness measurements were obtained with the SD-OCT using a circular scan pattern (diameter of 3.5 mm, 768A-scans); an online tracking system was used to compensate for eye movement. The RNFL thickness (from the inner margin of the internal limiting membrane to the outer margin of the RNFL layer) was automatically segmented using the Spectralis software version. 5.3.3.0). The global RNFL thickness and average RNFL thicknesses of superior [S], inferior [I], nasal [N], temporal [T], superior-temporal, superior-nasal, inferior-nasal and inferior-temporal quadrants were recorded.

The choroidal thickness (CT) measurements were performed at the fovea and at 1500 μm nasal and temporal to the center of the fovea using enhanced depth imaging SD-OCT (EDI-SD-OCT) of Spectralis (Heidelberg Engineering, Heidelberg, Germany) and Heidelberg Eye Explorer software (version 1.9.10.0). The thickness measurement was obtained manually using the caliper function of the device from the outer portion of the RPE to the inner surface of the sclera.

 Statistical Analysis

The data was examined by the Shapiro Wilk test whether or not it presents normal distribution. The results were presented as mean±standard deviation or frequency and percentage. Normally distributed data were compared with independent samples t-test or one-way ANOVA. Kruskal Wallis and Mann Whitney U tests were used for nonnormally distributed data. Bonferroni test was used as multiple comparison test. Categorical variables were compared using Pearson's chi-squared test, Fisher's exact test and Fisher-Freeman-Halton test. p<0.05 was considered as significance levels. Statistical analyses were performed with IBM SPSS ver.23.0 (IBM Corp. Released 2015. IBM SPSS Statistics for Windows, Version 23.0. Armonk, NY: IBM Corp.).

Results

A total of 236 eyes of 122 subjects were included in this study. Group 1 consisted of 119 eyes of 62 patients who had a confirmed diagnosis of COVID-19, whereas Group 2 consisted of 117 eyes of 59 normal controls. Eight eyes were excluded due to central corneal scar secondary to previous ocular trauma (n=2/8), mature cataract (n=1/8) and signal strength score less than 20 db (n=5/8). Thirty (47%) of the patients in Group 1 were hospitalized for COVID-19. However, none of these patients required endotracheal intubation at any time during hospitalization. All paticipants were asymptomatic at the time of examination.

The mean age of the subjects in Group 1 and Group 2 were 44.6±12.6 years and 43.5±12.1 years respectively. No statistically significant difference was detected between groups with regard to age (p=0.608), sex (p=0.225), BCVA (p=0.054), lens status (p=0.498), SE (p=0.595) and axial length (p=0.304). However, in subgroup analysis; the mean age of the hospitalized COVID-19 patients (50.1±14.1 years) were significantly higher than that of the nonhospitalized (39.7±8.8 years) COVID-19 patients (p=0.003). All participants had a ETDRS chart BCVA value greater than 20/25. Preoperative demographic characteristics of patients are summarized in Table 1.

Table 1Ophthalmologic features and demographic characteristics of subjects in Group 1 (COVID-19 Group) and Group 2 (control group)

BCVA: best corrected visual acuity; COPD: chronic obstructive pulmonary disease; D; diopters.

Descriptive statistics were given as mean±standard deviation (minimum-maximum) or frequency with percentage. A p value < 0.05 was considered significant.

The incidence of comorbity was significantly higher in the study group (n=26/62, 41.3%) compared with the control group (n=12/59, 20.3%) (p=0.013) (Table 1). Moreover, subgroup analysis revealed that the incidence of comorbidities was significantly higher in the hospitalized COVID-19 patients (n=19/30) compared to the nonhospitalized COVID-19 patients (n=7/33) (p

The major ocular complaints during the acute phase of COVID-19 disease included; transient blurring of vision (n=2/62), watery discharge (n=2/62), pain and light sensitivity (n=2/62) and itchy eyes (n=1/62). However, none of the patients showed signs of keratitis, conjunctivitis or uveitis on slit lamp examination.

The mean CFT in Group 1 (271.0±26.8 μm) was significantly higher than that of Group 2 (263.2±22.0 μm) (p=0.015). Similarly, the mean ONL thickness was higher in Group 1 (85.4±13.3 μm) compared with Group 2 (81.4±15.2 μm) (p=0.035) (Figure 1). Furthermore, the mean thickness of the ONL in the hospitalized COVID-19 patients (89.0±13.6 μm) was significantly higher than that of nonhospitalized COVID-19 patients (82.1±12.3 μm) in subgroup analysis (p=0.003). However, mean thicknesses of the NFL, GCL, IPL, INL, OPL and RPE in Group 1 and Group 2 were similar (p>0.05 for all) (Table 2). In addition, focal irregularity of the RPE layer was detected in 14.9% of the subjects in Group 1 and 10.4% of the subjects in Group 2 (p=0.309).Figure 1:

Figure 1Spectral domain optical coherence tomography (SD-OCT) images of macula of a normal control (A) versus a patients who recovered from COVID-19 (B). Note the remarkable enlargement of the ONL layer in segmented view of the post-COVID-19 case.

Table 2Comparison of foveal and choroidal thicknesses of subjects in Group 1 (COVID-19 group) and Group 2 (control group) using SD-0CT. Choroidal thickness is measured by EDI-OCT subfoveally, 1500 um nasal and 1500 um temporal to the fovea.

CFT: central foveal thickness; COVID 19: Coronavirus disease 2019; EDI-OCT, enhanced depth imaging optical coherence tomography; GCL: ganglion vell layer; INL: inner plexiform layer; IPL: inner plexiform layer; NFL: nerve fiber layer; ONL: outer nuclear layer; OPL: outer plexiform layer; RPE: retinal pigment epithelium; SD-OCT: spectral domain optical coherence tomography

Descriptive statistics were given as mean±standard deviation or frequency with percentage. A p value < 0.05 was considered significant.

The mean subfoveal choroidal thicknesses of Group 1 and Group 2 were; 341.6±79.7 μm and 340.7±86.2μm respectively (p=0.936). The mean CT at 1500 μm nasal to the fovea in Group 1 and Group 2 were 273±79.4μm and 272.9±80.6μm respectively (p=0.956). Corresponding values for choroidal thicknesses at 1500 μm temporal to the fovea were 283.9±77.9 μm and 284.2±73.3 μm respectively (p=0.974).

The global mean peripapillary RNFL thicknesses in Group 1 (102.6±8.8 μm) and Group 2 (100.9±8.3 μm) were similar (p=0.145). However, the RNFL thickness in the superior (Group 1: 130.0±33.2 μm; Group 2: 119.7±35.4 μm) and inferotemporal quadrants (Group 1: 98.0±20.4 μm; Group 2: 104.8±24.1 μm) were different betwen groups (p=0.017 and p=0.021 respectively) (Table 3).

Table 3Comparison of peripapillary RNFL thickness (um) in different quadrants of subjects in Group 1 (COVID-19 group) and Group 2 (control group) using SD-0CT.

COVID 19: Coronavirus disease 2019; SD-OCT: spectral domain optical coherence tomography

Descriptive statistics were given as mean±standard deviation. A p value < 0.05 was considered significant.

Given that study results might have been affected by the mix of potential confounders including enrollment of both eyes and presence of comorbidities, we have also conducted a subgroup analysis. Participants with systemic diseases including diabetes and hypertension and/or visual acuity <0.8 were exluded. F urther statistical analysis involved only one eye (right) in each participant. Group 1 consisted of 45 patients, whereas Group 2 included 50 healthy controls. The BCVA in Group 1 and Group 2 were; 1.0±0.0 and 0.98±0.04 respectively (p=0.097). The mean CFT (Group 1: 272.3±26.4 μm, Group 2: 262.0±21.3 μm) and ONL thickness (Group 1: 86.7±12.2 μm, Group 2: 80.5±13.3 μm) was significantly thicker in the post-COVID group than control group (p=0.048 and p=0.018 respectively). However, mean thicknesses of the NFL (p=0.368), GCL (p=0.329), IPL (p=0.353), INL (p=0.504), OPL (p=0.641), RPE (p=0.367) and RNFL in all quadrants (p>0.05 for all) were similar.

DiscussionIn the current study, qualitative and quantitative assessment of the macula and peripapillar RNFL was performed using SD-OCT imaging. The data of post-COVID-19 patients was compared with age and sex matched normal controls to evaluate SARS-CoV-2 related microstructural alterations. In the literature, reported cases of COVID-19 have a wide range of symptoms from mild complaints, such as fever and cough, to more critical cases associated with difficulty in breathing (CDC. Coronavirus
COVID-19): symptoms of coronavirus.). It is estimated that about 17.9% of positive patients show no symptoms. Therefore we interviewed the subjects in the control group for potential signs of COVID-19 and suspected subjects were excluded.

There was no significant difference between groups with regard to the BCVA, SE and axial length. The thicknesses of the central macula (within 1 mm diameter) and ONL were significantly higher in post-COVID-19 patients compared with normal controls. However, there was no significant difference between the groups with regard to the thicknesses of other remaining retinal layers (NFL, GCL, IPL, INL, OPL and RPE). Similarly, no significant difference was detected between the choroidal thickness measurements at the fovea, at 1500 μm nasal to the fovea and at 1500 μm temporal to the fovea of groups. In addition, subgroup analysis among patients in Group 1 revealed that; the mean thickness of the ONL was significantly higher in the hospitalized patients compared to nonhospitalized patients. Therefore, presence and severity of SARS-CoV-2 infection appears to be positively correlated with the outer retinal thickness alterations. Possible underlying mechanisms responsible for retinal involvement over the course of COVID-19 are discussed below.

Angiotensin-converting enzyme 2 (ACE2), which is widely expressed throughout the body including, the respiratory system, cardiovascular system (endothelial cells, vascular smooth muscle cells), gut, kidneys, central nervous system and retina, has been identified as the cellular receptor of SARS-CoV-2, the causative virus of COVID-19 (Yan R Zhang Y Li Y Xia L Guo Y Zhou Q. Structural basis for the recognition of SARS-CoV-2 by full-length human ACE2.,Rodrigues Prestes TR Rocha NP Miranda AS Teixeira AL Simoes-E-Silva AC The Anti-Inflammatory Potential of ACE2/Angiotensin-(1-7)/Mas Receptor Axis: Evidence from Basic and Clinical Research.). The existence of ACE2 receptors in rod and cone layer has also been demonstrated in immunohistochemical studies on enucleated human eyes (White AJ Cheruvu SC Sarris M Liyanage SS Lumbers E Chui J Wakefield D McCluskey PJ. Expression of classical components of the renin-angiotensin system in the human eye.). Moreover, viral RNA of SARS-CoV-2 has been documented in retinal samples of patients with COVID-19 (Casagrande M Fitzek A Püschel K Aleshcheva G Schultheiss HP Berneking L Spitzer MS Schultheiss M. Detection of SARS-CoV-2 in Human Retinal Biopsies of Deceased COVID-19 Patients.). Experimental studies strongly suggests that ACE has vasodilatatory, antiproliferative and antiinflammatory  properties (Gheblawi M Wang K Viveiros A Nguyen Q Zhong JC Turner AJ Raizada MK Grant MB Oudit GY. Angiotensin-Converting Enzyme 2: SARS-CoV-2 Receptor and Regulator of the Renin-Angiotensin System: Celebrating the 20th Anniversary of the Discovery of ACE2.). Accordingly, destruction of ACE2 receptors has been associated with multiorgan dysfunction due to increased levels of reactive oxygen species (ROS), induction of fibrosis, hypertrophy and inflammation. Therefore, decreased ACE2 expression in the neurosensory retinal cells and retinal vasculature could result in inflammation and oxidative stress, which are common factors involved in the pathogenesis of several retinal diseases.On the other hand, systemic viral infections have been associated with interferon (IFN)- Ɣ mediated migration of microglial cells, which are mainly located in the inner retina, into the outer layers of the retina and subretinal space (Zinkernagel MS Chinnery HR Ong ML Petitjean C Voigt V McLenachan S McMenamin PG Hill GR Forrester JV Wikstrom ME Degli-Esposti MA. Interferon γ-dependent migration of microglial cells in the retina after systemic cytomegalovirus infection.). Accumulation of microglia in the outer retina and the subretinal space is thought to be involved in the pathogenesis of chronic neurodegenerative diseases of the retina such as age-related macular degeneration (AMD), diabetic retinopathy (DR) and retinal dystrophies (Combadiere C Feumi C Raoul W Keller N Rodero M Pezard A Lavalette S Houssier M Jonet L Picard E Debre P Sirinyan M Deterre P Ferroukhi T Cohen SY Chauvaud D Jeanny JC Chemtob S Behar-Cohen F Sennlaub F CX3CR1-dependent subretinal microglia cell accumulation is associated with cardinal features of age-related macular degeneration., Omri S Behar-Cohen F de Kozak Y Sennlaub F Verissimo LM Jonet L Savoldelli M Omri B Crisanti P Microglia/macrophages migrate through retinal epithelium barrier by a transcellular route in diabetic retinopathy: role of PKCzeta in the Goto Kakizaki rat model., Hughes EH Schlichtenbrede FC Murphy CC Sarra GM Luthert PJ Ali RR Dick AD Generation of activated sialoadhesin-positive microglia during retinal degeneration.). Accordingly, interferon-mediated immune response has shown to play a crucial role against SARS-CoV-2 infection (Immune response in SARS-CoV-2 infection: the role of interferons type I and type III.). Therefore, we hypothesize that the outer retinal thickening could also be a result of immune-mediated inflammation driven by retinal microglial cells.Moreover, COVID-19 is associated with arterial and venous thrombotic complications including myocardial infarction, ischemic stroke and venous thromboembolism (Piazza G Campia U Hurwitz S et al.Registry of arterial and venous thromboembolic complications in patients with COVID-19.). Recently, Marinho et al. (Marinho PM Marcos AAA Romano AC Nascimento H Belfort Jr., R Retinal findings in patients with COVID-19.) reported a case series demonstrating retinal findings related with SARS-CoV-2 infection. All cases exhibited focal hyperreflective lesions at the level of ganglion cell and inner plexiform layers on SD-OCT. In addition, cotton wool spots and retinal microhaemorrhages were detected in 4 out of 12 patients. However, Vavvas et al. (Vavvas DG Sarraf D Sadda SR et al.Concerns about the interpretation of OCT and fundus findings in COVID-19 patients in recent Lancet publication [published online ahead of print, 2020 Jul 9].) subsequently pointed out that these hyperreflective bands in the inner retina could possibly represent oblique sections and cross-sections of perifoveal normal retinal blood vessels. Accordingly, we did not observe any hyperreflective or hyporeflective lesion in SD-OCT images of any subjects. Landecho et al. (Landecho MF Yuste JR Ga´ndara E et al.COVID-19 retinal microangiopathy as an in vivo biomarker of systemic vascular disease?.) concluded that 22% of the post-COVID-19 patients demonstrated cotton wool exudates on retinal examination. In contrast, we did not observe any ischemic retinal changes. A possible explanation is that ocular examination was conducted 2-8 weeks after diagnosis of COVID-19. Therefore, the cotton wool spots and flame hemorrhages might have disappeared within the first 2 weeks.Abrishami et al. (Abrishami M Emamverdian Z Shoeibi N Omidtabrizi A Daneshvar R Saeidi Rezvani T Saeedian N Eslami S Mazloumi M Sadda S Sarraf D Optical coherence tomography angiography analysis of the retina in patients recovered from COVID-19: a case-control study.) conducted a study to assess microvascular changes in patients who recovered from COVID-19. The authors stated that the mean superficial and deep vascular densities in the foveal and parafoveal regions were significantly lower in the COVID cohort compared with the control group. In the current study we did not assess the retinal blood flow. Furthermore, the RNFL comparisons were not significantly different, especially with subgroup analysis to remove potential confounders.We also analyzed the patient demographics in both groups. The number of patients with common comorbidities including COPD, hypertension, diabetes and coronary artery disease were significantly higher in Group 1 compared with Group 2. Accordingly, Wang et al. (Wang B Li R Lu Z Huang Y. Does comorbidity increase the risk of patients with COVID-19: evidence from meta-analysis.) conducted a meta-analysis including 1558 COVID-19 patients. The authors concluded that; hypertension, diabetes and chronic obstructive pulmonary disease (COPD), cardiovascular disease and cerebrovascular disease are major risk factors for patients with COVID-19. In addition we conducted subgroup analysis among post-COVID-19 cohort and found that the incidence of comorbidities and mean age was significantly higher in the hospitalized patients compared to the nonhospitalized patients.

Limitations of our study include the cross-sectional design and lack of longitudinal observation of the patients, lack of multimodal imaging including simultaneous OCTA and fundus fluorescein angiography (FFA). In addition, there may be many possible confounding factors that could influence the OCT parameters. First, including measurements from both eyes without adjusting for the correlated nature of the data may have a substantial effect on the results. Second, presence of comorbidities including diabetes and hypertension might have influenced retinal thickness measurements. Strengths of this study include it being the largest group ever described in the literature of patients with retinal microstructural alterations possibly related to SARS-CoV-2. Furthermore, to the best of our knowledge this is the first study evaluating the thicknesses of individual retinal layers of post-COVID-19 patients using SD-OCT.

In conclusion, our study demonstrated significant anatomical changes in individual retinal layers of post-COVID-19 patients for the first time. In light of the current literature we suggest that, thickening of ONL, which is comprised of the photoreceptor cell bodies, could be a marker of retinal inflammation. The possible mechanisms for retinal inflammation include; direct neuronal invasion, IFN- mediated alterations in the retinal microenvironment during the course of systemic disease or ischemia secondary to endotheliitis. Alterations in the immune status of retina during the course of COVID-19, might cause aggravation of the existing retinal diseases such as diabetic/ hypertensive retinopathy and AMD where low-grade inflammation plays a role. Further studies with long-term follow up are needed to determine the definite consequences of COVID-19 related retinopathy.

 Ethical Procedure

• The research meets all applicable standards with regard to the ethics of experimentation and research integrity, and the following is being certified/declared true. The study was approved by the Ethics Committee of Uludağ University Faculty of Medicine, Bursa, Turkey (2020-7/14) prior to the study period.

• As an expert scientist and along with co-authors of concerned field, the paper has been submitted with full responsibility, following due ethical procedure, and there is no duplicate publication, fraud, plagiarism, or concerns about animal or human experimentation.

Article InfoPublication History

Accepted: June 28, 2021

Received in revised form: May 29, 2021

Received: February 12, 2021

Publication stageIn Press Accepted ManuscriptFootnotes

Running Title: SD-OCT Imaging of post-COVID-19 patients

Identification

DOI: https://doi.org/10.1016/j.jcjo.2021.06.019

Copyright

© 2021 Canadian Ophthalmological Society. Published by Elsevier Inc. All rights reserved.

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