Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Jun 9:9:852022.
doi: 10.3389/fmed.2022.852022. eCollection 2022.

Optical Coherence Tomography Biomarkers in Predicting Treatment Outcomes of Diabetic Macular Edema After Dexamethasone Implants

Affiliations

Optical Coherence Tomography Biomarkers in Predicting Treatment Outcomes of Diabetic Macular Edema After Dexamethasone Implants

Yu-Te Huang et al. Front Med (Lausanne). .

Abstract

Purpose: To identify optical coherence tomography (OCT) biomarkers that may predict functional and anatomical outcomes in diabetic macular edema (DME) patients treated with intravitreal dexamethasone (DEX) implant.

Materials and methods: Sixty-four eyes from 50 patients with DME were enrolled. Best-corrected visual acuity (BCVA) and OCT biomarkers including central retinal thickness (CRT), subretinal fluid (SRF), intraretinal cysts (IRC), ellipsoid zone disruption (EZD), disorganization of retinal inner layers (DRIL), hard exudate (HE), hyperreflective foci (HRF), epiretinal membrane (ERM), and vitreomacular interface (VMI) changes were evaluated at baseline and at 3, 6, and 12 months after treatment. Multiple logistic analysis was performed to evaluate each OCT biomarker as a predictive factor for functional and anatomical improvement at the end of treatment.

Results: The presence of SRF at baseline was associated with a favorable outcome, with CRT improving by more than 100 μm after treatment from multivariate logistic regression analysis [odds ratio 6.16 (1.75-21.6)]. In addition, baseline SRF predicted a greater CRT improvement from multiple regression analysis (model R-square 0.11, p = 0.006). The reduction of DRIL, SRF, LONLC, IRC, and EZD were correlated with better CRT improvement (more than 100 μm) (P < 0.05). SRF and EZD recovery can also predict better visual prognosis (P < 0.05).

Conclusion: OCT biomarkers can be used to predict who may benefit the most after DEX treatment. We suggest that the DEX implant should be considered as a first line treatment in DME patients with SRF.

Keywords: diabetic macular edema (DME); disorganization of retinal inner layers; hyperreflective foci; intravitreal dexamethasone implant; optical coherence tomography biomarkers; subretinal fluid.

PubMed Disclaimer

Conflict of interest statement

H-SC was employed by NephroCare Ltd. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

FIGURE 1
FIGURE 1
The 25 6-mm radial scans across the retina centered on the fovea in SD-OCT.
FIGURE 2
FIGURE 2
(A) Final CRT significantly improved after treatment. (B) Mean CRT improved significantly after the third month and continuously improved up to the end of the study (month 12) (*p < 0.05 compared to before-treatment data).
FIGURE 3
FIGURE 3
(A) Final BCVA (LogMAR) significantly improved after treatment. (B) Mean BCVA improved gradually after the third month, reaching statistical significance in month 12 (*p < 0.05 compared to before-treatment data).
FIGURE 4
FIGURE 4
Serial IOP change during treatment, revealing no obvious elevation.
FIGURE 5
FIGURE 5
Model using OCT biomarkers as predictors of CRT improvement greater than 100 μm after treatment (multivariate logistic regression): the presence of SRF at baseline favored an outcome with CRT improvement > 100 μm [SRF (+) vs. (-): odds ratio 6.16 (1.75–21.6)].

Similar articles

Cited by

References

    1. International Diabetes Federation. IDF Diabetes Atlas. 8th ed. Brussels: International Diabetes Federation; (2017).
    1. Kempen JH, O’Colmain BJ, Leske MC, Haffner SM, Klein R, Moss SE, et al. The prevalence of diabetic retinopathy among adults in the United States. Arch Ophthalmol. (2004) 122:552–63. 10.1001/archopht.122.4.552 - DOI - PubMed
    1. Yau JWY, Rogers SL, Kawasaki R, Lamoureux EL, Kowalski JW, Bek T, et al. Global prevalence and major risk factors of diabetic retinopathy. Diabetes Care. (2012) 35:556–64. - PMC - PubMed
    1. Lee R, Wong TY, Sabanayagam C. Epidemiology of diabetic retinopathy, diabetic macular edema and related vision loss. Eye Vis (Lond). (2015) 2:17. 10.1186/s40662-015-0026-2 - DOI - PMC - PubMed
    1. Jaulim A, Ahmed B, Khanam T, Chatziralli I. Branch retinal vein occlusion: epidemiology, pathogenesis, risk factors, clinical features, diagnosis, and complications. An update of the literature. Retina. (2013) 33:901–10. 10.1097/IAE.0b013e3182870c15 - DOI - PubMed