Major Predictive Factors for Progression of Early to Late Age-Related Macular Degeneration

2020 ◽  
Vol 243 (6) ◽  
pp. 444-452 ◽  
Author(s):  
Vasilena Sitnilska ◽  
Eveline Kersten ◽  
Lebriz Altay ◽  
Tina Schick ◽  
Philip Enders ◽  
...  

<b><i>Introduction:</i></b> We present a prediction model for progression from early/intermediate to advanced age-related macular degeneration (AMD) within 5.9 years. <b><i>Objectives:</i></b> To evaluate the combined role of genetic, nongenetic, and phenotypic risk factors for conversion from early to late AMD over ≥5 years. <b><i>Methods:</i></b> Baseline phenotypic characteristics were evaluated based on color fundus photography, spectral-domain optical coherence tomography, and infrared images. Genotyping for 36 single-nucleotide polymorphisms as well as systemic lipid and complement measurements were performed. Multivariable backward logistic regression resulted in a final prediction model. <b><i>Results and Conclusions:</i></b> During a mean of 5.9 years of follow-up, 22.4% (<i>n</i> = 52) of the patients (<i>n</i> = 232) showed progression to late AMD. The multivariable prediction model included age, <i>CFH</i> variant rs1061170, pigment abnormalities, drusenoid pigment epithelial detachment (DPED), and hyperreflective foci (HRF). The model showed an area under the curve of 0.969 (95% confidence interval 0.948–0.990) and adequate calibration (Hosmer-Lemeshow test, <i>p</i> = 0.797). In addition to advanced age and carrying a <i>CFH</i> variant, pigment abnormalities, DPED, and HRF are relevant imaging biomarkers for conversion to late AMD. In clinical routine, an intensified monitoring of patients with a high-risk phenotypic profile may be suitable for the early detection of conversion to late AMD.

Retina ◽  
2020 ◽  
Vol 40 (9) ◽  
pp. 1657-1664 ◽  
Author(s):  
Gregor S. Reiter ◽  
Reinhard Told ◽  
Lukas Baumann ◽  
Stefan Sacu ◽  
Ursula Schmidt-Erfurth ◽  
...  

2021 ◽  
pp. 112067212110026
Author(s):  
Pablo Gili ◽  
Leyre Lloreda Martín ◽  
José-Carlos Martín-Rodrigo ◽  
Naon Kim-Yeon ◽  
Laura Modamio-Gardeta ◽  
...  

Purpose: To identify the association between single-nucleotide polymorphisms (SNPs) in CFH, ARMS2, HTRA1, CFB, C2, and C3 genes and exudative age-related macular degeneration (AMD) in a Spanish population. Methods: In 187 exudative AMD patients and 196 healthy controls (61% women, mean age 75 years), 12 SNPs as risk factors for AMD in CFH (rs1410996, rs1061170, r380390), ARMS2 (rs10490924, rs10490923), HTRA1 (rs11200638), CFB (rs641153), C2 (rs547154, rs9332739), and C3 (rs147859257, rs2230199, rs1047286) genes were analyzed. Results: The G allele was the most frequent in CFH gene (rs1410996) with a 7-fold increased risk of AMD (OR 7.69, 95% CI 3.17–18.69), whereas carriers of C allele in CFH (rs1061170) showed a 3-fold increased risk for AMD (OR 3.22, 95% CI 1.93–5.40). In CFH (rs380390), the presence of G allele increased the risk for AMD by 2-fold (OR 2.52, 95% CI 1.47–4.30). In ARMS2 (rs10490924), the T-allele was associated with an almost 5-fold increased risk (OR 5.49, 95% CI 3.23–9.31). The A allele in HTRA1 (rs11200638) was more prevalent in AMD versus controls (OR 6.44, 95% CI 3.62–11.47). In C2 gene (rs9332739) the presence of C increased risk for AMD by 3-fold (OR 3.10, 95% CI 1.06–9.06). Conclusion: SNPs in CFH, ARMS2, HTRA1, and C2 genes were associated in our study with an increased risk for exudative AMD in Spanish patients.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Alessandro Arrigo ◽  
Emanuela Aragona ◽  
Ottavia Battaglia ◽  
Andrea Saladino ◽  
Alessia Amato ◽  
...  

AbstractOuter retinal tubulations (ORT) are a relatively new finding characterizing outer retinal atrophy. The main aim of the present study was to describe ORT development in advanced age-related macular degeneration (AMD) and to assess its relationship with disease’s severity. Patients with advanced AMD characterized either by macular neovascularization or geographic atrophy, showing signs of outer retinal disruption or retinal pigment epithelium atrophy on structural optical coherence tomography (OCT) at the inclusion examination were prospectively recruited. All the patients underwent complete ophthalmologic evaluation, structural OCT scans and fundus autofluorescence imaging. The planned follow-up was of 3-years. Main outcome measures were ORT prevalence, mechanism of ORT formation, mean time needed for complete ORT formation, best-corrected visual acuity (BCVA), definitely decreased autofluorescence (DDAF) area, questionably decreased autofluorescence (QDAF) area, retinal layer thickness, foveal sparing, number of intravitreal injections. We also assessed the possible role of external limiting membrane (ELM) and Müller cells in ORT pathogenesis. Seventy eyes (70 patients) were included; 43 showed dry AMD evolving to geographic atrophy, while 27 displayed the features of wet AMD. Baseline BCVA was 0.5 ± 0.5 LogMAR, decreasing to 0.9 ± 0.5 LogMAR at the 3-year follow-up (p < 0.01). We detected completely formed ORT in 26/70 eyes (37%), subdivided as follows: 20 eyes (77%) wet AMD and 6 eyes (23%) dry AMD (p < 0.01). ORT took 18 ± 8 months (range 3–35 months) to develop fully. We described the steps leading to ORT development, characterized by progressive involvement of, and damage to the photoreceptors, the ELM and the RPE. Eyes displaying ORT were associated with a smaller QDAF area, less retinal layers damage and lower rate of foveal sparing than eyes free of ORT (p < 0.01). We also described pigment accumulations simulating ORT, which were detected in 16/70 eyes (23%), associated with a greater loss of foveal sparing, increased DDAF area and smaller QDAF area at the 3-year follow-up (p < 0.01). In conclusion, this study provided a description of the steps leading to ORT development in AMD. ELM and Müller cells showed a role in ORT pathogenesis. Furthermore, we described a subtype of pigment hypertrophy mimicking ORT, evaluating its clinical utility.


Ophthalmology ◽  
2014 ◽  
Vol 121 (7) ◽  
pp. 1421-1427 ◽  
Author(s):  
Chung-Jung Chiu ◽  
Paul Mitchell ◽  
Ronald Klein ◽  
Barbara E. Klein ◽  
Min-Lee Chang ◽  
...  

2013 ◽  
Vol 46 (16-17) ◽  
pp. 1689-1693 ◽  
Author(s):  
Jie Zhou ◽  
Dan Wang ◽  
Junjun Zhang ◽  
Meixia Zhang ◽  
Fang Lu ◽  
...  

PLoS ONE ◽  
2012 ◽  
Vol 7 (11) ◽  
pp. e49905 ◽  
Author(s):  
Akshay Anand ◽  
Neel Kamal Sharma ◽  
Amod Gupta ◽  
Sudesh Prabhakar ◽  
Suresh Kumar Sharma ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document