| Title |
Vitreoretinal interface abnormalities in diabetic macular edema and effectiveness of anti-VEGF therapy: an optical coherence tomography study
|
|---|---|
| Published in |
Clinical Ophthalmology, November 2017
|
| DOI | 10.2147/opth.s146019 |
| Pubmed ID | |
| Authors |
Alexei N Kulikov, Sergei V Sosnovskii, Roman D Berezin, Dmitrii S Maltsev, Dzhambulat H Oskanov, Nikolai A Gribanov |
| Abstract |
To study vitreoretinal interface (VRI) abnormalities in diabetic macular edema (DME) and the influence of these on the effectiveness of intravitreal anti-vascular endothelial growth factor (VEGF) therapy. VRI status and central retinal thickness (CRT) were evaluated using line and 3D-reference scans obtained using spectral domain-optical coherence tomography RTVue-100 before and 1 month after intravitreal anti-VEGF injection (IVI). VRI status was categorized into five subgroups: normal VRI, retinal surface wrinkling associated with the eccentric epiretinal membrane (ERM), ERM involving the macular center, vitreomacular adhesion (VMA), and vitreomacular traction (VMT). A total of 105 eyes of 89 patients were included in the study. One month after IVI, the mean change of CRT in normal VRI eyes and eyes with VRI abnormalities was -128.0±144.7 µm and -53.0±96.4 µm (p<0.05), respectively. The mean change of CRT 1 month after IVI in each subgroup with VRI abnormalities, apart from the subgroup with retinal wrinkling associated with eccentric ERM, was statistically significantly lower compared to the eyes with normal VRI (p<0.05). VRI abnormalities significantly reduce the effectiveness of intravitreal anti-VEGF therapy in eyes with DME. Eyes with noticeable changes of VRI, including ERM involving the macular center, VMA, and VMT have a poorer response to anti-VEGF therapy compared to eyes with normal VRI or eccentric ERM. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 5 | 16% |
| Researcher | 3 | 10% |
| Student > Doctoral Student | 3 | 10% |
| Student > Master | 3 | 10% |
| Professor > Associate Professor | 2 | 6% |
| Other | 5 | 16% |
| Unknown | 10 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 45% |
| Business, Management and Accounting | 1 | 3% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Computer Science | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 13 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 November 2017.
All research outputs
#17,292,294
of 25,382,440 outputs
Outputs from Clinical Ophthalmology
#1,803
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Outputs of similar age
#217,828
of 340,752 outputs
Outputs of similar age from Clinical Ophthalmology
#17
of 28 outputs
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