Effectiveness of the iPhone GoCheck Kids smartphone vision screener in detecting amblyopia risk factors

PurposeTo evaluate the effectiveness of Spot photoscreener and SW800 vision screener in detecting amblyopia risk factors in Chinese children between 4 and 6 years of age.MethodsOne hundred and thirteen children (226 eyes) underwent complete ophthalmologic examination, cycloplegic retinoscopy refraction, prism cover tests and photoscreen using both Spot (v2.1.4) and SW800 (v1.0.1.0) photoscreeners. The agreement of results obtained from photoscreener and retinoscopy was evaluated by paired t-test as well as Pearson correlation test. The sensitivity and specificity of detecting amblyopia risk factors were calculated based on the American Association of Pediatric Ophthalmology and Strabismus 2013 guidelines. The overall effectiveness of detecting amblyopia risk factors by using either photoscreener was analysed by receiver operating characteristic (ROC) curves.ResultsA strong linear agreement was observed between Spot and retinoscopy (p<0.01) in aspects of spherical equivalent (SE, Pearson’s r=0.95), dioptre sphere (DS, r=0.97), dioptre cylinder (DC, r=0.84) and horizontal deviation (Hdev, r=0.91), with overall −0.17 D myopic shift of SE. Significant correlation was also shown between SW800 and retinoscopy (p<0.01) in aspects of SE (r=0.90), DS (r=0.93), DC (r=0.82) and Hdev (r=0.80), with overall −0.12 D myopic shift of SE. The overall sensitivity and specificity in detecting amblyopia risk factors were 94.0% and 80.0% for Spot and 88.8% and 81.1% for SW800.ConclusionThe measurements of Spot and SW800 photoscreener showed a strong agreement with cycloplegic retinoscopy refraction and prism cover tests. The performance of both screeners in detecting individual amblyopia risk factors is satisfactory. ROC analysis indicates that the Spot and SW800 performed very similarly in detecting amblyopia risk factors.

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The Effect of Biometric Parameters on Spot Vision Screener Results

10.21203/rs.3.rs-277866/v1 ◽

2021 ◽

Author(s):

meryem guler alıs ◽

abdulkadir alıs

Keyword(s):

Risk Factors ◽

Negative Correlation ◽

High Specificity ◽

Spherical Equivalent ◽

Biometric Parameters ◽

Clinical Advantage ◽

Moderate Sensitivity ◽

The Relationship ◽

Vision Screener

Abstract objective: Our aim in this study is to investigate the relationship between biometric parameters and spot vision screener [SVS]Materyal-Metods: 250 eyes of 125 children between the age of 6,77±1,59 included the study. The results of cyloplegic [CSVS] and noncycloplegic [NSVS] spot vision screener [Plusoptix p12,Germany] measurements and autorefractometer with cycloplegia [CA] were compared. The spherical equivalent [SE] differences of between CA and NSVS measurements with CA and CSVS measurements were compared with AL, ACD, CR, Mean K and AL / CR values. The relationship between them was examined.Results: According to the amblyopia risk factors [ARFs] based on the criteria from AAPOS 2013 guidelines , 33 eyes [13%] in the NSVS results and 34 eyes [13.6%] in the CSVS results were detected as amblyopic. According to CA results, NSVS had 67.3% sensitivity, 94.5% specificity, CSVS 69.4% sensitivity and 89.1% specificity in detecting amblyopia. When the SE differences of between CA and NSVS values were comparaed with biometric parameters a negative correlation was observed with ACD , AL and especially AL/CR ratio .Conclussion: Both NSVS and CSVS showed moderate sensitivity and high specificity in detecting AFRs based on the criteria from AAPOS 2013 guidelines. CSVS has no additional clinical advantage. Biometric parameters effect the NSVS results.

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Amblyopia risk factors among pediatric patients in a hospital-based setting using photoscreening

PLoS ONE ◽

10.1371/journal.pone.0254831 ◽

2021 ◽

Vol 16 (7) ◽

pp. e0254831

Author(s):

Christiane Al-Haddad ◽

Zeinab El Moussawi ◽

Stephanie Hoyeck ◽

Carl-Joe Mehanna ◽

Nasrine Anais El Salloukh ◽

...

Keyword(s):

Risk Factors ◽

Pediatric Patients ◽

American Association ◽

Medical Center ◽

Vision Screening ◽

Limits Of Agreement ◽

American University ◽

American University Of Beirut ◽

Eye Examination ◽

Vision Screener

Purpose The aim of our study was to determine the prevalence of amblyopia risk factors in children visiting the American University of Beirut Medical Center (AUBMC) using automated vision screening. Methods This was a hospital-based screening of 1102 children aged between 2 and 6 years. Vision screening was performed using PlusoptiX S12 over 2 years (2018–2020). The need for referral to a pediatric ophthalmologist was based on the amblyopia risk factors set forth by the American Association for Pediatric Ophthalmology and Strabismus. Referred patients underwent a comprehensive eye examination. Results A total of 1102 children were screened, 63 were referred for amblyopia risk factors (5.7%); 37/63 (59%) underwent comprehensive eye examination and 73% were prescribed glasses. Of the non-referred group of children, 6.35% had astigmatism, 6.25% were hyperopic and 3.27% were myopic. The refractive errors observed among the examined patients were distributed as follows: 41% astigmatism, 51% hyperopia, and 8% myopia; amblyopia was not detected. Refractive amblyopia risk factors were associated with the presence of systemic disorders. Bland-Altman plots showed most of the differences to be within limits of agreement. Conclusion Using an automated vision screener in a hospital-based cohort of children aged 2 to 6 years, the rate of refractive amblyopia risk factors was 5.7%. Hyperopia was the most commonly encountered refractive error and children with systemic disorders were at higher risk.

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Performance of the Spot vision screener for the detection of amblyopia risk factors in children

Journal of American Association for Pediatric Ophthalmology and Strabismus ◽

10.1016/j.jaapos.2013.11.019 ◽

2014 ◽

Vol 18 (2) ◽

pp. 169-172 ◽

Cited By ~ 23

Author(s):

David I. Silbert ◽

Noelle S. Matta

Keyword(s):

Risk Factors ◽

Vision Screener

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Effectiveness of the GoCheck Kids Vision Screener in Detecting Amblyopia Risk Factors

American Journal of Ophthalmology ◽

10.1016/j.ajo.2017.12.020 ◽

2018 ◽

Vol 187 ◽

pp. 87-91 ◽

Cited By ~ 16

Author(s):

M. Millicent W. Peterseim ◽

Ryan S. Rhodes ◽

Rupa N. Patel ◽

M. Edward Wilson ◽

Luke E. Edmondson ◽

...

Keyword(s):

Risk Factors ◽

Vision Screener

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Elevated level of circulatory sTLT1 induces inflammation through SYK/MEK/ERK signalling in coronary artery disease

Clinical Science ◽

10.1042/cs20190999 ◽

2019 ◽

Vol 133 (22) ◽

pp. 2283-2299

Author(s):

Apabrita Ayan Das ◽

Devasmita Chakravarty ◽

Debmalya Bhunia ◽

Surajit Ghosh ◽

Prakash C. Mandal ◽

...

Keyword(s):

Risk Factors ◽

Coronary Artery Disease ◽

Coronary Artery ◽

Chronic Inflammation ◽

Ex Vivo ◽

Human Subjects ◽

Critical Role ◽

Atherosclerotic Cardiovascular Disease ◽

Tnf Α ◽

Artery Disease

Abstract The role of inflammation in all phases of atherosclerotic process is well established and soluble TREM-like transcript 1 (sTLT1) is reported to be associated with chronic inflammation. Yet, no information is available about the involvement of sTLT1 in atherosclerotic cardiovascular disease. Present study was undertaken to determine the pathophysiological significance of sTLT1 in atherosclerosis by employing an observational study on human subjects (n=117) followed by experiments in human macrophages and atherosclerotic apolipoprotein E (apoE)−/− mice. Plasma level of sTLT1 was found to be significantly (P<0.05) higher in clinical (2342 ± 184 pg/ml) and subclinical cases (1773 ± 118 pg/ml) than healthy controls (461 ± 57 pg/ml). Moreover, statistical analyses further indicated that sTLT1 was not only associated with common risk factors for Coronary Artery Disease (CAD) in both clinical and subclinical groups but also strongly correlated with disease severity. Ex vivo studies on macrophages showed that sTLT1 interacts with Fcɣ receptor I (FcɣRI) to activate spleen tyrosine kinase (SYK)-mediated downstream MAP kinase signalling cascade to activate nuclear factor-κ B (NF-kB). Activation of NF-kB induces secretion of tumour necrosis factor-α (TNF-α) from macrophage cells that plays pivotal role in governing the persistence of chronic inflammation. Atherosclerotic apoE−/− mice also showed high levels of sTLT1 and TNF-α in nearly occluded aortic stage indicating the contribution of sTLT1 in inflammation. Our results clearly demonstrate that sTLT1 is clinically related to the risk factors of CAD. We also showed that binding of sTLT1 with macrophage membrane receptor, FcɣR1 initiates inflammatory signals in macrophages suggesting its critical role in thrombus development and atherosclerosis.

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